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Open Access February 06, 2026

Predictive Modeling of Public Sentiment Using Social Media Data and Natural Language Processing Techniques

Lawrence A. Farinola, Jean-Eudes Assogba

Journal of Artificial Intelligence and Big Data 2026, 6(1), 1-12. DOI: 10.31586/jaibd.2026.6162

Abstract Social media platforms like X (formerly Twitter) generate vast volumes of user-generated content that provide real-time insights into public sentiment. Despite the widespread use of traditional machine learning methods, their limitations in capturing contextual nuances in noisy social media text remain a challenge. This study leverages the Sentiment140 dataset, comprising 1.6 million labeled [...] Read more.

Social media platforms like X (formerly Twitter) generate vast volumes of user-generated content that provide real-time insights into public sentiment. Despite the widespread use of traditional machine learning methods, their limitations in capturing contextual nuances in noisy social media text remain a challenge. This study leverages the Sentiment140 dataset, comprising 1.6 million labeled tweets, and develops predictive models for binary sentiment classification using Naive Bayes, Logistic Regression, and the transformer-based BERT model. Experiments were conducted on a balanced subset of 12,000 tweets after comprehensive NLP preprocessing. Evaluation using accuracy, F1-score, and confusion matrices revealed that BERT significantly outperforms traditional models, achieving an accuracy of 89.5% and an F1-score of 0.89 by effectively modeling contextual and semantic nuances. In contrast, Naive Bayes and Logistic Regression demonstrated reasonable but consistently lower performance. To support practical deployment, we introduce SentiFeel, an interactive tool enabling real-time sentiment analysis. While resource constraints limited the dataset size and training epochs, future work will explore full corpus utilization and the inclusion of neutral sentiment classes. These findings underscore the potential of transformer models for enhanced public opinion monitoring, marketing analytics, and policy forecasting.

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Open Access September 09, 2025

Biopsy-Negative Giant Cell Arteritis Presenting as Stroke Mimic with Vision Loss and Complex Vascular Disease

Mohamed M. Khamis, Daniel Goering

Global Journal of Medical Case Reports 2025, 5(1), 29-35. DOI: 10.31586/gjmcr.2025.6177

Abstract A man in his 60s with multiple vascular comorbidities presented with sudden, painless vision loss in one eye. Although he had a high risk for atherosclerotic events, initial evaluation for stroke was negative for acute ischemia, but found to have markedly elevated inflammatory markers. Accordingly, giant cell arteritis was investigated and Ophthalmologic findings and fulfillment of the 2022 [...] Read more.

A man in his 60s with multiple vascular comorbidities presented with sudden, painless vision loss in one eye. Although he had a high risk for atherosclerotic events, initial evaluation for stroke was negative for acute ischemia, but found to have markedly elevated inflammatory markers. Accordingly, giant cell arteritis was investigated and Ophthalmologic findings and fulfillment of the 2022 American College of Rheumatology/European Alliance of Associations for Rheumatology classification criteria supported the diagnosis of giant cell arteritis, despite a negative temporal artery biopsy. Management included high-dose glucocorticoids and delayed tocilizumab initiation due to the need for multiple vascular surgeries. Vision loss was irreversible, but systemic symptoms resolved and vascular interventions were successful. This case highlights the diagnostic and management complexities of biopsy-negative giant cell arteritis in patients with severe atherosclerotic vascular disease, emphasizing the importance of clinical judgment and established classification criteria when imaging and biopsy results are inconclusive.

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Open Access June 06, 2025

Food security, dietary diversity, and age as determinants of nutritional status among adolescent girls in coastal Bangladesh

Tanzina Akter, Taslima Akter, Sharmin Shilpy Nokshi, Sujit Kumar Banik, Abu Ansar Md Rizwan

Journal of Biomedical and Life Sciences 2025, 5(2), 110-121. DOI: 10.31586/jbls.2025.6112

Abstract Background: Adolescent girls living in disaster-prone coastal regions of Bangladesh face heightened nutritional vulnerability due to limited food access, poor dietary diversity, and environmental stressors. Despite growing concerns about adolescent malnutrition, few studies have examined the combined influence of food security, dietary diversity, and age on nutritional outcomes in these [...] Read more.

Background: Adolescent girls living in disaster-prone coastal regions of Bangladesh face heightened nutritional vulnerability due to limited food access, poor dietary diversity, and environmental stressors. Despite growing concerns about adolescent malnutrition, few studies have examined the combined influence of food security, dietary diversity, and age on nutritional outcomes in these settings. Objectives: This study aimed to assess the association between dietary diversity, food security, and age with the nutritional status of adolescent girls in coastal Bangladesh. Methods: A cross-sectional survey was conducted among 345 adolescent girls aged 10–19 in Chattogram and Cox’s Bazar. Data on dietary intake were collected using a 24-hour dietary recall and a food frequency questionnaire. Household food security was assessed using a validated scale. Nutritional status was determined using BMI-for-age classifications. Bivariate and multivariate analyses explored associations between dietary diversity, food security, age, and nutritional status. Results: Among participants, 10.14% were underweight, and 29.85% were either overweight or obese. While 17.39% demonstrated high dietary diversity (≥7 food groups), the majority had moderate diversity (5 or 6 food groups) (59.42%). Food-insecure households were significantly more likely to have overweight or obese adolescents (p < 0.05). Although dietary diversity was associated with BMI in bivariate analysis, it was not a significant predictor in the multivariate model. Age showed a significant relationship with both dietary diversity and nutritional status. Conclusion: The findings emphasize the importance of addressing household food security and age-related nutritional vulnerabilities in coastal areas. Interventions should prioritize age-sensitive, culturally appropriate strategies to improve dietary quality and prevent the double burden of malnutrition among adolescent girls.

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Open Access May 13, 2025

Geochemistry distributions and statistics analysis of REE in stream sediments from the watershed west of Mambaka (Adamawa Plateau, Cameroun)

Roland William Edima Yana, Lise Carole Okomo Atouba, Fagny Aminatou Mefire, Oumar Hamit Djiddi, Adama Haman, Anicet Ango Ella, Faarouk Oumarou Nkouandou

World Journal of Geomatics and Geosciences 2025, 4(1), 12-28. DOI: 10.31586/wjgg.2025.6101

Abstract The Mambaka watershed is extends between latitudes 1 3°45'E and 14°15'E and longitudes 7°16'N and 6°45'N. The geology, various tectonic and structural events that have affected the Adamawa Plateau in Cameroon make it rich in multi-substance mining. The objective of this study is to map rare earth (REE) geochemical anomalies in the sediments of the watershed streams west of Mambaka, and to trace [...] Read more.

The Mambaka watershed is extends between latitudes 1 3°45'E and 14°15'E and longitudes 7°16'N and 6°45'N. The geology, various tectonic and structural events that have affected the Adamawa Plateau in Cameroon make it rich in multi-substance mining. The objective of this study is to map rare earth (REE) geochemical anomalies in the sediments of the watershed streams west of Mambaka, and to trace their origins and geochemical processes. Predictive maps from inverse distance interpolations (IDW), factor analysis (F1) or principal component analysis (PCA) and hierarchical bottom-up classification maps provided a better understanding of the central tendency, distribution and dispersion of REE in the samples and in the study area, based on standard deviation and variance values that generated two factors F1 (Ho-Tm-Er-Yb-Lu-Dy-Tb-Gd-Eu-Sm) and F2 (Pr-Nd-Ce-La-Sm) representing 92.44% of the total cumulative variance. The ratios Ce/Ce* > 0.78 and Eu/Eu* > 1 demonstrate positive anomalies in Ce and Eu, and clear differentiation. The normalized concentrations used to calculate fractionation ratios show that the values for LaN/YbN (0.58 to 1.34), LaN/SmN (0.61 to 0.88) and LaN/LuN (0.62 to 1.43) suggest higher fractionation in SS09 and lower fractionation in SS01. Similarly, the ratios La/Lu (61.71 to 143.46), La/Yb (9.00 to 20.72), La/Sm (4.02 to 5.83) and La/ Lu (61.71 to 143.46) confirm these higher ratios in SS09 and lower in SS01. The REE in the study area comes from hydrothermal processes based on high lineament densities at sampling points in igneous rocks with a mean ∑REE value of between 174-219 ppm.

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Open Access February 04, 2025

The Use of Differentiated Instruction to Achieve Culturally Responsive Teaching

Monica Gakii Ituma

Open Journal of Educational Research 2025, 5(1), 13-30. DOI: 10.31586/ojer.2025.1234

Abstract With an increasing diversity of learners in today’s educational set-ups, there is an insurmountable need to cater for individual differences including the cultural variations among learners. It is therefore necessary for educators to develop culturally responsive teaching that enhances intercultural competencies of learners. As educators strive to provide inclusive learning environments in which [...] Read more.

With an increasing diversity of learners in today’s educational set-ups, there is an insurmountable need to cater for individual differences including the cultural variations among learners. It is therefore necessary for educators to develop culturally responsive teaching that enhances intercultural competencies of learners. As educators strive to provide inclusive learning environments in which learners from diverse cultural backgrounds learn equitably, differentiated instruction becomes a practical tool. This paper explores how differentiated instruction can support and enhance culturally responsive teaching by examining how tailored instructional approaches can bridge cultural gaps and enhance educational outcomes. The aim is to provide a comprehensive understanding of how educators can effectively integrate differentiated instructional methodologies to achieve the goals of Culturally Responsive Teaching. The study used a descriptive survey design to determine the use of differentiated instruction by junior school teachers in Kenya and a systematic review of literature, practical examples, and studies on teachers’ practices in culturally responsive teaching. The study outcomes indicated that teachers used various differentiated instructional strategies with flexible grouping being the most commonly used strategy. However, there arises a concern, that teachers were not very familiar with cultural variations of learners in their classrooms even as they developed their differentiated instructional strategies. Literature provided the principles and practices of culturally responsive teaching. The combination of these results were used to formulate a conceptual framework for Culturally Responsive Differentiated Instruction (CRDI) that provides insights for practitioners to develop and implement culturally responsive differentiated instructional strategies. The study recommends that a framework to support teachers in the implementation of inclusive and equitable curriculum through CRDI be developed, CRDI be integrated into the teaching processes and the teachers be trained on providing for learner differences through CRDI.

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Open Access January 11, 2025

Exploring LiDAR Applications for Urban Feature Detection: Leveraging AI for Enhanced Feature Extraction from LiDAR Data

Olly Harouni, Alan Forghani, Maria Rashidi, Payam Rahnamayiezekavat

World Journal of Geomatics and Geosciences 2025, 4(1), 1-11. DOI: 10.31586/wjgg.2025.1242

Abstract The integration of LiDAR and Artificial Intelligence (AI) has revolutionized feature detection in urban environments. LiDAR systems, which utilize pulsed laser emissions and reflection measurements, produce detailed 3D maps of urban landscapes. When combined with AI, this data enables accurate identification of urban features such as buildings, green spaces, and infrastructure. This synergy is [...] Read more.

The integration of LiDAR and Artificial Intelligence (AI) has revolutionized feature detection in urban environments. LiDAR systems, which utilize pulsed laser emissions and reflection measurements, produce detailed 3D maps of urban landscapes. When combined with AI, this data enables accurate identification of urban features such as buildings, green spaces, and infrastructure. This synergy is crucial for enhancing urban development, environmental monitoring, and advancing smart city governance. LiDAR, known for its high-resolution 3D data capture capabilities, paired with AI, particularly deep learning algorithms, facilitates advanced analysis and interpretation of urban areas. This combination supports precise mapping, real-time monitoring, and predictive modeling of urban growth and infrastructure. For instance, AI can process LiDAR data to identify patterns and anomalies, aiding in traffic management, environmental oversight, and infrastructure maintenance. These advancements not only improve urban living conditions but also contribute to sustainable development by optimizing resource use and reducing environmental impacts. Furthermore, AI-enhanced LiDAR is pivotal in advancing autonomous navigation and sophisticated spatial analysis, marking a significant step forward in urban management and evaluation. The reviewed paper highlights the geometric properties of LiDAR data, derived from spatial point positioning, and underscores the effectiveness of machine learning algorithms in object extraction from point clouds. The study also covers concepts related to LiDAR imaging, feature selection methods, and the identification of outliers in LiDAR point clouds. Findings demonstrate that AI algorithms, especially deep learning models, excel in analyzing high-resolution 3D LiDAR data for accurate urban feature identification and classification. These models leverage extensive datasets to detect patterns and anomalies, improving the detection of buildings, roads, vegetation, and other elements. Automating feature extraction with AI minimizes the need for manual analysis, thereby enhancing urban planning and management efficiency. Additionally, AI methods continually improve with more data, leading to increasingly precise feature detection. The results indicate that the pulse emitted by continuous wave LiDAR sensors changes when encountering obstacles, causing discrepancies in measured physical parameters.

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Open Access November 26, 2024

Impact of Classroom from the Primary Level of the Acquisition of English as a Second Language in Bangladesh

Jannatul Ferdous, Budrunnesa Shuchi, Musanna Afrin

Universal Journal of Literature and Linguistics 2024, 4(1), 83-94. DOI: 10.31586/ujll.2024.1122

Abstract This paper examines the impact of primary level classroom environments on the acquisition of English as a second language (L2) in Bangladesh, comparing English-medium and Bangla-medium schools. The study investigates how different instructional approaches and early exposure to English influence language proficiency among students. Through a mixed-methods approach, including surveys, interviews, [...] Read more.

This paper examines the impact of primary level classroom environments on the acquisition of English as a second language (L2) in Bangladesh, comparing English-medium and Bangla-medium schools. The study investigates how different instructional approaches and early exposure to English influence language proficiency among students. Through a mixed-methods approach, including surveys, interviews, and proficiency tests, the research reveals significant differences in language acquisition outcomes between the two educational settings. Findings indicate that students in English-medium schools, who are exposed to Natural approach methods of language learning and immersive English-speaking environments, demonstrate higher proficiency in speaking and listening skills compared to their Bangla-medium counterparts, who primarily receive grammar-focused instruction. The study highlights the critical role of early exposure to English, with students who begin learning the language at a younger age showing better phonological and syntactic development. Additionally, the integration of technology in language teaching emerges as a valuable tool for enhancing language learning, particularly in contexts with limited classroom exposure. The research suggests that Bangla-medium schools could benefit from adopting more interactive, student-centered teaching methods and integrating digital tools to support practical language use. The study's findings have significant implications for educational policy, advocating for a shift towards more immersive and communicative teaching practices to improve English language acquisition in Bangladesh. This research contributes to the broader understanding of SLA and offers practical recommendations for enhancing language education in similar contexts.

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Open Access January 03, 2024

Inflammatory Bowel Disease associated with Intestinal Malrotation

Kafia Belhocine, Kamel Hail

Global Journal of Medical Case Reports 2024, 4(1), 1-8. DOI: 10.31586/gjmcr.2024.849

Abstract Intestinal malrotation is an embryological abnormality modifying the classic anatomy of the small and large bowels, particularly the topographical one. Inflammatory bowel disease (IBD) is characterised by anatomical lesions with preferential intestinal tropism. These two conditions are rarely associated. They represent a real diagnostic and therapeutic challenge due to the overlap of non-specific [...] Read more.

Intestinal malrotation is an embryological abnormality modifying the classic anatomy of the small and large bowels, particularly the topographical one. Inflammatory bowel disease (IBD) is characterised by anatomical lesions with preferential intestinal tropism. These two conditions are rarely associated. They represent a real diagnostic and therapeutic challenge due to the overlap of non-specific symptoms and the complexity of the clinical management. We report the case of a young woman presenting with a flare-up of her IBD and a partial common mesentery syndrome. Clinicians should be aware of the potential pitfalls of the two entities to propose the adequate therapeutic strategy regarding the full understanding of the anatomy, notably when surgery is needed.

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Open Access January 02, 2024

Constructability and Rigor of Angles Multiples of 3 in Euclidean Geometry

Alex Mwololo Kimuya

Journal of Mathematics Letters 2024, 2(1), 1-27. DOI: 10.31586/jml.2024.841

Abstract This paper investigates the constructability of angles multiples of 3 within the framework of Euclidean geometry. It makes a significant contribution by presenting the first geometric construction for all such angles, offering a rigorous solution to a longstanding geometric problem. The paper reaffirms the efficacy of Euclidean geometry in providing precise constructions and robust proofs for [...] Read more.

This paper investigates the constructability of angles multiples of 3 within the framework of Euclidean geometry. It makes a significant contribution by presenting the first geometric construction for all such angles, offering a rigorous solution to a longstanding geometric problem. The paper reaffirms the efficacy of Euclidean geometry in providing precise constructions and robust proofs for these angles, demonstrating the enduring strength of Euclidean principles from classical to modern times. The presented workflow goes beyond Euclidean geometry to examine non-Euclidean methods, particularly analytical approaches, revealing misconceptions that compromise the genetic and geometric rigor of Euclidean principles. The paper exposes incongruities when algebraic proofs related to angle constructability are applied to the Euclidean system, emphasizing the misalignment of fundamental geometric concepts. A notable result in the paper is the construction of a angle, introducing the “ angle chord” as a novel geometric property. This property challenges assumptions made by non-Euclidean methods and highlights the nuanced geometric properties crucial for rigorous constructions. The paper refutes the fallacy of relying solely on algebra for solutions to angles multiples of , emphasizing the necessity of embracing Euclidean geometry for geometric discoveries. The paper underscores the merits and resilience of Euclidean geometry, showcasing its independence and depth across historical and modern perspectives. The newly presented geometric construction not only resolves a longstanding question but also emphasizes the intrinsic strength and uniqueness of Euclidean principles in contrast to alternative methodologies.

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Open Access December 12, 2023

Threatened Wildlife for an Instructional Approach about Biodiversity Conservation

Antonio J. Mendoza-Fernández, Leticia Arnao, Candelaria Carretero, Fabián Martínez-Hernández, José M. Sánchez Robles

Research Journal of Ecology and Environmental Sciences 2023, 3(1), 47-60. DOI: 10.31586/rjees.2023.693

Abstract Biodiversity is related to a global problem: its destruction, a fact supported by scientific authorities. It is not trivial that educational dimension has been contemplated as one of the strategies for its conservation. Since 1992 global initiatives such as the Convention on Biological Diversity postulates concepts that linked education and nature conservation. The main objective of this research work is to test the level of assimilation of extracurricular scientific knowledge by primary school pupils. The method chosen for the content was, on the one hand, a master class intervention with an interactive presentation on a digital whiteboard. Third cases were chosen. Each case consisted of a presentation of the current status of a species of fauna present in Spain. On the second part, students were asked to write an essay and to illustrate the experience during the presentation. Regarding the essays, students showed that they were more attracted to the first species that was presented (Iberian lynx) in a proportion of over 45% of cases. The “Endangered species” concept appeared in more than 77% of the texts reviewed. In terms of drawings, almost 55% of the responses seem to devote more attention to the second species described (Testudo graeca [...] Read more.

Biodiversity is related to a global problem: its destruction, a fact supported by scientific authorities. It is not trivial that educational dimension has been contemplated as one of the strategies for its conservation. Since 1992 global initiatives such as the Convention on Biological Diversity postulates concepts that linked education and nature conservation. The main objective of this research work is to test the level of assimilation of extracurricular scientific knowledge by primary school pupils. The method chosen for the content was, on the one hand, a master class intervention with an interactive presentation on a digital whiteboard. Third cases were chosen. Each case consisted of a presentation of the current status of a species of fauna present in Spain. On the second part, students were asked to write an essay and to illustrate the experience during the presentation. Regarding the essays, students showed that they were more attracted to the first species that was presented (Iberian lynx) in a proportion of over 45% of cases. The “Endangered species” concept appeared in more than 77% of the texts reviewed. In terms of drawings, almost 55% of the responses seem to devote more attention to the second species described (Testudo graeca). An attempt was made to offer rigorous, structured information related to different aspects of natural reality in order to contemplate the broadest possible vision. The example of an instructional intervention presented here aims to be an alternative to other transmissive teaching models. Likewise, the linking of abstract concepts with socio-cultural reality proved to be a successful strategy to reinforce knowledge about natural biodiversity, endangered species or threat factors.

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Open Access November 02, 2023

Off-Label Use of Esketamine

Jacob Scarcella, Jeffrey MacDaniels, Lucinda Coffin, Thomas Schwartz

Global Journal of Medical Case Reports 2023, 3(1), 21-26. DOI: 10.31586/gjmcr.2023.809

Abstract Major depressive disorder (MDD) is a significant psychiatric condition, with many affected individuals not gaining remission from conventional treatments, leading to classification as treatment-resistant depression (TRD). This study aimed to investigate the potential of intravenous (IV) ketamine, particularly the S-enantiomer esketamine in nasal spray form, for treating patients with TRD and [...] Read more.

Major depressive disorder (MDD) is a significant psychiatric condition, with many affected individuals not gaining remission from conventional treatments, leading to classification as treatment-resistant depression (TRD). This study aimed to investigate the potential of intravenous (IV) ketamine, particularly the S-enantiomer esketamine in nasal spray form, for treating patients with TRD and associated comorbidities. We report three cases of patients with diverse psychiatric and medical backgrounds whom all reported significant symptomatic relief from depressive episodes and suicidal ideation (SI) following esketamine administration. Additionally, esketamine seemed to proffer benefits beyond the primary depressive symptoms, positively impacting other comorbid conditions, such as agitation, self-injurious behavior (SIB), and chronic pain. The goal of this paper is to highlight that while esketamine's primary utility is in addressing TRD, its therapeutic potential may extend to a variety of associated conditions. However, it is crucial to underscore the heterogeneity of MDD, emphasizing the necessity for individualized therapeutic approaches and further research into esketamine's broader applications.

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Open Access September 13, 2023

A Comparative Study of Attention-Based Transformer Networks and Traditional Machine Learning Methods for Toxic Comments Classification

Sihao Wang, Bingjie Chen

Journal of Social Mathematical & Human Engineering Sciences 2023, 1(1), 22-30. DOI: 10.31586/jsmhes.2023.697

Abstract With the rapid growth of online communication platforms, the identification and management of toxic comments have become crucial in maintaining a healthy online environment. Various machine learning approaches have been employed to tackle this problem, ranging from traditional models to more recent attention-based transformer networks. This paper aims to compare the performance of attention-based [...] Read more.

With the rapid growth of online communication platforms, the identification and management of toxic comments have become crucial in maintaining a healthy online environment. Various machine learning approaches have been employed to tackle this problem, ranging from traditional models to more recent attention-based transformer networks. This paper aims to compare the performance of attention-based transformer networks with several traditional machine learning methods for toxic comments classification. We present an in-depth analysis and evaluation of these methods using a common benchmark dataset. The experimental results demonstrate the strengths and limitations of each approach, shedding light on the suitability and efficacy of attention-based transformers in this domain.

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Open Access March 18, 2023

The Efficiency of the Proposed Smoothing Method over the Classical Cubic Smoothing Spline Regression Model with Autocorrelated Residual

Samuel Olorunfemi Adams, Omorogbe Joseph Asemota

Journal of Mathematics Letters 2023, 1(1), 19-37. DOI: 10.31586/jml.2023.618

Abstract Spline smoothing is a technique used to filter out noise in time series observations when predicting nonparametric regression models. Its performance depends on the choice of the smoothing parameter. Most of the existing smoothing methods applied to time series data tend to over fit in the presence of autocorrelated errors. This study aims to determine the optimum performance value, goodness of [...] Read more.

Spline smoothing is a technique used to filter out noise in time series observations when predicting nonparametric regression models. Its performance depends on the choice of the smoothing parameter. Most of the existing smoothing methods applied to time series data tend to over fit in the presence of autocorrelated errors. This study aims to determine the optimum performance value, goodness of fit and model overfitting properties of the proposed Smoothing Method (PSM), Generalized Maximum Likelihood (GML), Generalized Cross-Validation (GCV), and Unbiased Risk (UBR) smoothing parameter selection methods. A Monte Carlo experiment of 1,000 trials was carried out at three different sample sizes (20, 60, and 100) and three levels of autocorrelation (0.2, 05, and 0.8). The four smoothing methods' performances were estimated and compared using the Predictive Mean Squared Error (PMSE) criterion. The findings of the study revealed that: for a time series observation with autocorrelated errors, provides the best-fit smoothing method for the model, the PSM does not over-fit data at all the autocorrelation levels considered ( the optimum value of the PSM was at the weighted value of 0.04 when there is autocorrelation in the error term, PSM performed better than the GCV, GML, and UBR smoothing methods were considered at all-time series sizes (T = 20, 60 and 100). For the real-life data employed in the study, PSM proved to be the most efficient among the GCV, GML, PSM, and UBR smoothing methods compared. The study concluded that the PSM method provides the best fit as a smoothing method, works well at autocorrelation levels (ρ=0.2, 0.5, and 0.8), and does not over fit time-series observations. The study recommended that the proposed smoothing is appropriate for time series observations with autocorrelation in the error term and econometrics real-life data. This study can be applied to; non – parametric regression, non – parametric forecasting, spatial, survival, and econometrics observations.

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Open Access March 16, 2023

The Black-Scholes Exotic Barrier Option Pricing Formula

Ivan H. Krykun

Journal of Mathematics Letters 2023, 1(1), 10-18. DOI: 10.31586/jml.2023.604

Abstract The paper considers a specific type of such financial instrument as an option, namely an exotic barrier call option of the European type. Exotic options are gaining popularity among ordinary investors due to the development of information and telecommunication technologies, thanks to which such specific financial instruments as options have become readily available. We investigate the hedging [...] Read more.

The paper considers a specific type of such financial instrument as an option, namely an exotic barrier call option of the European type. Exotic options are gaining popularity among ordinary investors due to the development of information and telecommunication technologies, thanks to which such specific financial instruments as options have become readily available. We investigate the hedging problem for such options with some restrictions on the payment function and the availability of dividend payment on a risky asset in the classical Black-Scholes model. An analogue of the Black-Scholes formula for the mentioned variant of the exotic barrier is proved. In the future, it is planned to generalize the obtained results for put options and for more general payment functions.

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Open Access December 02, 2022

Effect of Industrial Effluent on Irrigation Water Quality of Choba River in the Niger Delta Region of Nigeria

Erewari Ukoha-Onuoha, Isoteim Fubara-Manuel, Merit Leyiga Kornebari Bestmann

Research Journal of Ecology and Environmental Sciences 2022, 2(4), 182-194. DOI: 10.31586/rjees.2022.362

Abstract Poor irrigation water quality due to oil spillage on surface water can result in food insecurity, health and economic challenges. This paper investigated the effect of total petroleum hydrocarbon (TPHC) and lead (Pb) on irrigation water quality in the oil spill prone area of the Niger Delta region of Nigeria. Water samples were taken from five different sections labelled A, B, C, D, and E along [...] Read more.

Poor irrigation water quality due to oil spillage on surface water can result in food insecurity, health and economic challenges. This paper investigated the effect of total petroleum hydrocarbon (TPHC) and lead (Pb) on irrigation water quality in the oil spill prone area of the Niger Delta region of Nigeria. Water samples were taken from five different sections labelled A, B, C, D, and E along the Choba River, in Rivers State, Nigeria. Sections B, C, D and E were direct industrial effluent discharge points while section A was without direct industrial effluent discharge. Standard methods were employed in the water sampling and analysis. Suitability of Choba river water for irrigation was assessed by comprehensive pollution index (CPI) that incorporated salinity, sodicity, and permeability hazard potentials as well as the specific toxicity hazard potentials of TPHC and Pb. Results showed that all primary water parameters except pH were within the Food and Agriculture Organization (FAO) guidelines. The pH was low, ranging between 4.48 and 5.6. TPHC values for four out of the five samples were greater than the 10mg/l guideline as recommended by the Directorate of Petroleum Resources for surface water. TPHC for the four samples ranged between 14.52 and 174.32mg/l. The parameters with the most impact on CPI include EC, PI and TPHC with TPHC having the most impact. Water samples from sections A, B and E with CPI values 0.14, 0.37, and 0.8 respectively were classified in the clean, sub clean and slightly polluted categories respectively, while water samples from sections C and D with CPI values greater than 1 range from moderately to heavily polluted and not suitable for agricultural irrigation. Only water sample A was found suitable for irrigation.

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Open Access August 20, 2022

Nursing Student Engagement with Their Learning: A Mixed Methods Study

Malcolm Elliott, Peter McErlain

World Journal of Nursing Research 2022, 1(1), 21-37. DOI: 10.31586/wjnr.2022.385

Abstract Student engagement in educational activities is essential for achieving desired learning outcomes. Despite this, little is known about the engagement patterns of nursing students from diverse or disadvantaged backgrounds. A mixed method study was conducted to explore engagement patterns within and outside the classroom but not during clinical placements. Students were asked what engagement means [...] Read more.

Student engagement in educational activities is essential for achieving desired learning outcomes. Despite this, little is known about the engagement patterns of nursing students from diverse or disadvantaged backgrounds. A mixed method study was conducted to explore engagement patterns within and outside the classroom but not during clinical placements. Students were asked what engagement means to them and what influences their engagement. Students were also asked how many hours they engaged in each of their undergraduate subjects and the reasons for this. The study was conducted at an Australian education provider. All students (n = 240) enrolled in the Bachelor of Nursing course were invited to participate. Lecture attendance was high at the start of the semester, fluctuated weekly and declined as the semester progressed. Students averaged between 3.5 and 4.4 hours of engagement per subject per week. They defined engagement as actually coming to class and a commitment to learning. Students were engaged by new, interesting content and disengaged by repetitive or complex content and poor tutoring. Most students want to engage but are distracted by intrinsic and extrinsic factors. Research should explore how to best assess students without the concurrent academic workload interfering with their studies.

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Open Access June 30, 2022

Weekly Quizzes Reinforce Student Learning Outcomes and Performance in Biomedical Sciences in-course Assessments

Ahmed El-Hashash

Open Journal of Educational Research 2022, 2(4), 168-178. DOI: 10.31586/ojer.2022.273

Abstract Studies have highlighted the benefits of frequent quizzing in class. Frequent quizzing can promote more student attendance, engagement, practice and review, and achievement. Conversely, the opponents of frequent quizzing suggest that too frequent testing might hinder learning by frustrating anxious students and inhibiting larger units of instructional material. Notably, most studies have used [...] Read more.

Studies have highlighted the benefits of frequent quizzing in class. Frequent quizzing can promote more student attendance, engagement, practice and review, and achievement. Conversely, the opponents of frequent quizzing suggest that too frequent testing might hinder learning by frustrating anxious students and inhibiting larger units of instructional material. Notably, most studies have used degree examinations to evaluate the impact of quizzes on student learning and performance, yet little is known about whether quizzes can reinforce student performance in the in-course assessments (ICAs) despite ICA importance in student learning. The present study aimed to test the hypothesis that administration of weekly MCQ quizzes can enhance the leaning outcomes and performance of biomedical science students in assessment methods such as essay and oral presentation that can directly measure and provide information about student learning. It was therefore limited to in-course assessments. We found that the performance of the weekly quiz student group is remarkably better than that of the control student group in both the essay and oral presentation ICAs, which are two measures and indicators of student learning, suggesting improved student learning outcomes and performance after administrating weekly MCQ quizzes that also promoted student attendance in classrooms. The findings of this research study have implications for students, teachers, and curriculum designers in higher education.

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Open Access June 20, 2022

Charged Anisotropic Stellar Models with the MIT Bag Model Equation of State

Manuel Malaver

Universal Journal of Physics Research 2022, 1(1), 18-31. DOI: 10.31586/ujpr.2022.338

Abstract In this paper we present a new classes of solutions for the Einstein-Maxwell system of field equations in a spherically symmetric spacetime under the influence of an electric field considering the MIT bag model equation of state with a particular form the metric potential that depends on an adjustable parameter. The obtained solutions can be written in terms of elementary functions, namely [...] Read more.

In this paper we present a new classes of solutions for the Einstein-Maxwell system of field equations in a spherically symmetric spacetime under the influence of an electric field considering the MIT bag model equation of state with a particular form the metric potential that depends on an adjustable parameter. The obtained solutions can be written in terms of elementary functions, namely polynomials and algebraic functions. The obtained models satisfy all physical properties expected in a realistic star. The results of this research can be useful in the development and description of new models of compact structures.

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Article

Open Access February 09, 2022

Endemic Hemicryptophyte Grasslands of the High Mountains of the Caribbean

Ana Cano-Ortiz, Ricardo Quinto Canas, José Carlos Piñar Fuentes, Sara del Río, Carlos José Pinto Gomes and Eusebio Cano

Research Journal of Ecology and Environmental Sciences 2022, 2(1), 1-20. DOI: 10.31586/rjees.2022.184

Abstract Although there are numerous studies on the floristic composition of the Andean and Caribbean grasslands, there are limited information from a phytosociological point of view. This work therefore aims to highlight the differences in this important vegetation type in these two biodiversity hotspots to gain a better understanding of their floristic and vegetational richness. The floristic composition of Andean grasslands (Ecuador) and the island of Hispaniola is also studied. The reason for this comparative analysis of Andean and Caribbean territories is their tropical character and their bioclimatic similarities. The comparative analysis of Peruvian Andean and Colombian grasslands is based on floristic knowledge from the literature, our inventories on the island of Hispaniola, and the works of Peguero. We applied the phytosociological methodology of Braun-Blanquet and the code of phytosociological nomenclature. We performed a statistical analysis to verify the differences between both community types using the statistical packages PAST© and CAP3. The comparative analysis of Andean and Caribbean grasslands shows a clear floristic and biogeographical differentiation and reveals that the only ecological character they share is their high-mountain attribute. In the Caribbean these communities are found only on the island of Hispaniola (Dominican Republic) in the Central biogeographic sector, Central subprovince, Hispaniola province. These grasslands are exclusive to Hispaniola and have a high rate of endemics. We propose the following new syntaxa: the association Hyperico constanzae-Danthonietum domingensis, the alliance Hieracio domingensis-Deschampsion domingensis, the order Danthonietalia domingensis, and the class Deschampsio-Danthonietea domingensis. [...] Read more.

Although there are numerous studies on the floristic composition of the Andean and Caribbean grasslands, there are limited information from a phytosociological point of view. This work therefore aims to highlight the differences in this important vegetation type in these two biodiversity hotspots to gain a better understanding of their floristic and vegetational richness. The floristic composition of Andean grasslands (Ecuador) and the island of Hispaniola is also studied. The reason for this comparative analysis of Andean and Caribbean territories is their tropical character and their bioclimatic similarities. The comparative analysis of Peruvian Andean and Colombian grasslands is based on floristic knowledge from the literature, our inventories on the island of Hispaniola, and the works of Peguero. We applied the phytosociological methodology of Braun-Blanquet and the code of phytosociological nomenclature. We performed a statistical analysis to verify the differences between both community types using the statistical packages PAST© and CAP3. The comparative analysis of Andean and Caribbean grasslands shows a clear floristic and biogeographical differentiation and reveals that the only ecological character they share is their high-mountain attribute. In the Caribbean these communities are found only on the island of Hispaniola (Dominican Republic) in the Central biogeographic sector, Central subprovince, Hispaniola province. These grasslands are exclusive to Hispaniola and have a high rate of endemics. We propose the following new syntaxa: the association Hyperico constanzae-Danthonietum domingensis, the alliance Hieracio domingensis-Deschampsion domingensis, the order Danthonietalia domingensis, and the class Deschampsio-Danthonietea domingensis. We found high biodiversity values for Andean and Caribbean areas. This is due to the intense anthropic activity on the island of Hispaniola, which has led to a high percentage of naturalized plants.

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Open Access May 20, 2021

Bioconcentration Factor of Polychlorinated Biphenyls and Its Correlation with UV- and IR-Spectroscopic data: A DFT based Study

Sangeeta Sahu, Vishnu Kumar Sahu, Anil Kumar Soni

Online Journal of Chemistry 2021, 1(1), 1-10. DOI: 10.31586/ojc.2021.010101

Abstract Polychlorinated biphenyls (PCBs) are important class of persist organic pollutants that were used as a component of paints especially in printings, as plastificator of plastics and insulating materials in transformers and capacitors, heat transfer fluids, additives in hydraulic fluids in vacuum and turbine pumps. There is always a need to establish reliable procedures for predicting the [...] Read more.

Polychlorinated biphenyls (PCBs) are important class of persist organic pollutants that were used as a component of paints especially in printings, as plastificator of plastics and insulating materials in transformers and capacitors, heat transfer fluids, additives in hydraulic fluids in vacuum and turbine pumps. There is always a need to establish reliable procedures for predicting the bioconcentration potential of chemicals from the knowledge of their molecular structure, or from readily measurable properties of the substance. Hence, correlation and prediction of biococentration factors (BCFs) based on λ_max and vibration frequencies of various bonds viz υ(C-H) and υ(C=C) of biphenyl and its fifty-seven derivatives have been made. For the study, the molecular modeling and geometry optimization of the PCBs have been performed on workspace program of CAChe Pro 5.04 software of Fujitsu using DFT method. UV-visible spectra for each compound were created by electron transition between molecular orbitals as electromagnetic radiation in the visible and ultraviolet (UV-visible) region is absorbed by the molecule. The energies of excited electronic states were computed quantum mechanically. IR spectra of transitions for each compound were created by coordinated motions of the atoms as electromagnetic radiation in the infrared region is absorbed by the molecule. The force necessary to distort the molecule was computed quantum mechanically from its equilibrium geometry and thus frequency of vibrational transitions was predicted. Project Leader Program associated with CAChe has been used for multiple linear regression (MLR) analysis using above spectroscopic data as independent variables and BCFs of PCBs as dependent variables. The reliability of correlation and predicting ability of the MLR equations (models) are judged by R², R²_adj, se, q²_L10O and F values. This study reflected clearly that UV and IR spectroscopic data can be used to predict BCFs of a large number of related compounds within limited time without any difficulty.

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Editorial Article

Open Access May 21, 2021

Modeling of Target Audience'S Intellectual Behavior

Vitaliy Katsalap

Universal Journal of Social Sciences and Humanities 2021, 1(1), 1-10. DOI: 10.31586/ujssh.2021.010101

Abstract The article considers the problems of theoretical substantiation of negative informational and psychological impact evaluation principles, and conducting of relevant researches in this field. At the same time, due to imperfections of theory and practice of negative informational and psychological impact evaluation, previous researches were conducted mainly by “mirroring” the ways of information [...] Read more.

The article considers the problems of theoretical substantiation of negative informational and psychological impact evaluation principles, and conducting of relevant researches in this field. At the same time, due to imperfections of theory and practice of negative informational and psychological impact evaluation, previous researches were conducted mainly by “mirroring” the ways of information counteraction, both for our own measures of information and psychological influence, and for the adversary. The rationale for the methodological approaches used in the organization of information and psychological influence is due to inability to access the adversary's target audiences freely and gather the necessary information, as well as the inadequacy of assessing the degree of change in their behaviour. Characteristics mentioned in article classify target audiences according to defined indicators of remote information control of social and individual behaviour of possible objects of influence. Using the formulated conditions and relying on the psychological and psychophysiological characteristics of individuals, a database of target audience behaviour vulnerabilities is forming, that reflects the dependence of indicators of social behaviour perception changes on the intensity of external negative informational and psychological influences. The algorithm of target audience’s information perception is developed based on the model of planned behaviour, in which the subject’s overestimation of small values of probabilities are compared in dynamic with decrease of big ones. The proposed algorithm of evaluation of information-psychological impact allows to receive initial data based on which the model of target audience behaviour will be designed in any environmental conditions.

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Open Access January 31, 2026

Management of Placenta Accreta Spectrum Disorders: A Prospective Single-Centre Experience of 236 Cases in Riyadh, Saudi Arabia (2018–2024)

Mohammed Abd Elmoez Alsayed, Ashraf Dawood, Khalid Al Wadi, Amani Alshaya, Hosam Mohammed Leithy Sayed, Eman Al Sanie, Faisal Al Turki, Yasser Butt, Hasan Arnos, Manal Al Bakri, Ahmed Khatab, Ibrahim A. Albahlol

Universal Journal of Obstetrics and Gynecology 2026, 5(1), 9-15. DOI: 10.31586/ujog.2026.6261

Abstract Objective: To evaluate maternal and neonatal outcomes of women with placenta accreta spectrum (PAS) disorders managed by a dedicated multidisciplinary team at a tertiary referral centre in Riyadh, Saudi Arabia. Methods: We conducted a prospective case series of all women with antenatally suspected and intraoperatively or histopathologically confirmed PAS managed at King Fahad Medical [...] Read more.

Objective: To evaluate maternal and neonatal outcomes of women with placenta accreta spectrum (PAS) disorders managed by a dedicated multidisciplinary team at a tertiary referral centre in Riyadh, Saudi Arabia. Methods: We conducted a prospective case series of all women with antenatally suspected and intraoperatively or histopathologically confirmed PAS managed at King Fahad Medical City between April 2018 and December 2024. Women with high suspicion of PAS were electively admitted at 31+6 weeks’ gestation for optimisation when feasible and delivered by midline laparotomy and fundal or classical caesarean incision with the placenta left in situ. Definitive management consisted of hand-assisted retrograde caesarean hysterectomy or segmental uterine resection with reconstruction. Outcomes included operative time, quantified blood loss, transfusion requirements, intra- and postoperative complications, intensive care unit (ICU) admission, hospital stay, and neonatal morbidity. Results: A total of 236 women with confirmed PAS were managed. Median maternal age was 36 years and placenta previa coexisted in 86.9%. Elective caesarean delivery at 34+0–35+6 weeks occurred in 72.0%, whereas 28.0% required emergency delivery for haemorrhage or labour. Caesarean hysterectomy was performed in 85.2% and conservative segmental uterine resection in 14.8%. Median operative time was 135 minutes and median blood loss 4.3 L; the median transfusion requirement was six units of packed red blood cells. Intraoperative complications occurred in 27.1%, most commonly bladder injury (14.8%). One woman (0.4%) died intraoperatively from disseminated intravascular coagulation with intracardiac thrombosis. ICU admission was required in 66.0%. Neonatal intensive care unit admission occurred in 53.0%, mainly because of prematurity; there were no neonatal deaths. Conclusion: Centralised multidisciplinary management of PAS with planned delivery at 34–35 weeks, avoidance of placental removal, and use of retrograde hysterectomy or segmental resection can minimise haemorrhage and maternal mortality while maintaining acceptable neonatal outcomes in a high-volume referral centre.

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Open Access November 28, 2025

Determinants of the Carotid Tortuosity Index: Evidence from Digital Subtraction Angiography

Fritz Sumantri Usman, Evlyne Erlyana Suryawijaya, I Made Mahardika Yasa, Hendra Hardiansyah, Merlin Prisilia Kastilong, Leny Kurnia

World Journal of Clinical Medicine Research 2025, 5(1), 80-87. DOI: 10.31586/wjcmr.2025.6216

Abstract Introduction: Stroke remains one of the leading causes of death and disability worldwide, with ischemic stroke accounting for most cases. Structural vascular factors such as carotid artery tortuosity have gained attention as potential markers of vascular aging and cerebrovascular risk. The carotid tortuosity index (CTI), defined as the ratio of actual vessel length to the straight-line [...] Read more.

Introduction: Stroke remains one of the leading causes of death and disability worldwide, with ischemic stroke accounting for most cases. Structural vascular factors such as carotid artery tortuosity have gained attention as potential markers of vascular aging and cerebrovascular risk. The carotid tortuosity index (CTI), defined as the ratio of actual vessel length to the straight-line distance between two fixed points, provides a quantitative measure of arterial curvature. A CTI value of ≥1.2 indicates pathological tortuosity. Although noninvasive modalities such as CTA and MRA are frequently used, digital subtraction angiography (DSA) remains the gold standard for evaluating vessel geometry due to its higher spatial precision. This study aimed to determine the association of age, sex, and hypertension with CTI measured by DSA. Methods: A cross-sectional study was conducted from November to December 2025 at the Neurointervention Clinic, RS Pelni Jakarta, Indonesia, involving 61 adult patients who underwent carotid DSA. CTI was measured bilaterally using digital imaging software and classified as <1.2 (non-tortuous) or ≥1.2 (tortuous). Clinical data, including age, sex, and hypertension status, were collected from medical records and analyzed using bivariate tests. Results: Older age (≥65 years), female sex, and hypertension were significantly associated with higher CTI values on both carotid sides. Tortuosity was more common among hypertensive patients and elderly females, indicating the influence of vascular remodeling and chronic hemodynamic stress. Conclusion: Carotid tortuosity increases with age, hypertension, and female sex. DSA-based CTI measurement provides a reliable and precise approach for evaluating vascular changes associated with cerebrovascular risk.

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Article

Open Access May 15, 2025

Teaching Social Studies in an Integrated Manner: The Lived Experience of Out-Of-Field Social Studies Teachers

Isaac Atta Kwenin

Open Journal of Educational Research 2025, 5(2), 89-101. DOI: 10.31586/ojer.2025.6100

Abstract This study investigated the pedagogical implications of out-of-field teaching in Social Studies. The Out-of-field Social Studies teachers could encounter several challenges in their preparation and the implementation of the integrated Social Studies curriculum. This study sought the lived experiences of the out-of-field teachers concerning the causes of out-of-field teaching in social studies, [...] Read more.

This study investigated the pedagogical implications of out-of-field teaching in Social Studies. The Out-of-field Social Studies teachers could encounter several challenges in their preparation and the implementation of the integrated Social Studies curriculum. This study sought the lived experiences of the out-of-field teachers concerning the causes of out-of-field teaching in social studies, problems encountered by the out-of-field teachers and the mechanisms they employ to cope with the teaching of Social Studies. The study chose the qualitative phenomenological research design. Data were collected from all the 17 out-of-field Social Studies teachers through in-depth structured interview. Data were transcribed and analysed, through the inductive thematic analysis approach, unveiling of themes and concepts from the narratives of the research participants. The study revealed that out-of-field teaching in Social Studies occurs as a result of teacher shortage in integrated social studies programme. It is also caused by the perception that any teacher could teach Social Studies irrespective of the teachers’ qualification. Out-of-field teacher encounter problems such as inadequate content and pedagogical knowledge, lack of classroom managerial techniques and inability to deliver lessons through the integrated approach. Engaging in professional development courses, peer coaching, in-service training and workshops were some of the mechanisms employed by out-of-field teachers to cope with the teaching of Social Studies. The pedagogical implications of this phenomenon are that when teaching the Social Studies, the out-of-field teachers place more emphasis on aspects of the Social Studies curriculum where they have much knowledge and skip or put less emphasis on other aspects they lack in-depth knowledge, thus, the integrated approach to teaching Social Studies is not adopted effectively by out-of-field teachers. This waters down the content of Social Studies at the Senior High School level. Addressing the problem of out-of-field teaching in Social Studies requires training and recruiting more teachers who have background training and experience in the integrated approach to the teaching of Social Studies.

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Review Article

Open Access May 05, 2025

To Be Twice as Good to Get Half

Shervin Assari, John Ashley Pallera, Hossein Zare

Journal of Biomedical and Life Sciences 2025, 5(1), 67-83. DOI: 10.31586/jbls.2025.1158

Abstract “To Be Twice as Good to Get Half” is a common mindset among high aspiration and ambition Black individuals in the U.S., capturing the lived reality of Minorities’ Diminished Returns (MDRs). This paper explains that MDRs reflect how, even with high levels of ambition, self-efficacy, education, and income, Black individuals and other marginalized groups do not experience the same protective benefits [...] Read more.

“To Be Twice as Good to Get Half” is a common mindset among high aspiration and ambition Black individuals in the U.S., capturing the lived reality of Minorities’ Diminished Returns (MDRs). This paper explains that MDRs reflect how, even with high levels of ambition, self-efficacy, education, and income, Black individuals and other marginalized groups do not experience the same protective benefits for health and well-being as White populations. Systemic obstacles embedded within U.S. society weaken the expected returns on socioeconomic achievements for racialized individuals, creating a reality where “being twice as good” still results in lesser outcomes. High-SES Black individuals, for instance, continue to face significant risks for adverse outcomes, such as depression and chronic disease, due to structural inequities across domains like labor market discrimination, segregation, and accumulated disadvantage from childhood. Our analysis identifies key mechanisms—including interpersonal discrimination, lower-quality education, and structural racism in sectors like banking, policing, and real estate—that erode the protective effects of SES across racial lines. Mediating factors, such as chronic stress, allostatic load, and epigenetic changes over the life course, further compound these diminished returns, weakening the expected physical and mental health benefits. Drawing on extensive evidence from U.S. national and local datasets and corroborated by international studies, this paper underscores the necessity of policies that dismantle structural barriers rather than relying solely on SES improvements. Recommendations include implementing multi-sectoral policies, recognizing the unique challenges of middle-class non-White populations, and approaching policy with humility, acknowledging that achieving equity is a long-term endeavor. By challenging the “bootstraps” narrative, this paper advocates for structural interventions aimed at genuine health and economic equity for all racial and socioeconomic groups. While we provide an in-depth analysis of MDRs’ phenomena, mechanisms, mediators, and policy implications, the experience is often distilled as, “I have to be twice as good to get half.”

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Article

Open Access December 22, 2023

Cloud Based Payment Processing and Merchant Services: A Scalable and Secure Framework for Digital Transactions in a Globalized Economy

Jai Kiran Reddy Burugulla

Universal Journal of Finance and Economics 2023, 3(1), 32-45. DOI: 10.31586/ujfe.2023.1290

Abstract In today’s world of a globalized economy and ubiquitous digital transactions, businesses are hungry for ways to increase transaction efficiency and security. In the real economy, solutions that scale to fit transaction volume or velocity are equally valuable. This is true for clearing and settlement and for the day-to-day needs of buyers and sellers alike. Clever observers of both cash and digital [...] Read more.

In today’s world of a globalized economy and ubiquitous digital transactions, businesses are hungry for ways to increase transaction efficiency and security. In the real economy, solutions that scale to fit transaction volume or velocity are equally valuable. This is true for clearing and settlement and for the day-to-day needs of buyers and sellers alike. Clever observers of both cash and digital transactions can spot cases where technology that supports transaction security or safety can strengthen consumer-borrower ties, mitigate default risks, and reduce recidivism. In general, a cloud solution for payment processing and merchant services solves two major barriers to optimum business technology: lack of scalability and lack of security [1]. The extension of current practice has its advantages, but new solutions unlock significant opportunities for both consumers and financial institutions [2]. The focus of this work is on the provisioning of cloud-based payment processing and merchant services to financial institutions and established global organizations, although the options available with these services mean they are potentially applicable to a wide range of group entities, including non-trading organizations, pension administrators, and group treasurers. With the increased attention to cybersecurity, a mass of data is available to assist the IT departments of the major payment processors, merchants, and acquirers to get cybersecurity on the radar of C-level executives [3]. The case is put forward for the increased targeting of and reporting to the Board’s Audit, Risk, and Liability Committees of publicly held payment processors and merchants to reduce fraud losses and mitigate the reputation and class action lawsuit risk due to data breaches. The progress of technology in the payment sector requires all stakeholders to have a collective approach in order to mitigate fraud and cybersecurity-related risks in new products and services to enhance consumer confidence and the proportion of retail cashless transactions [4].

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Review Article

Open Access February 10, 2025

Higher-than Expected Social Security Reliance Among Educated Black Americans: Minorities' Diminished Returns in National Health Interview Survey (NHIS) 2023

Shervin Assari, Amanda Sonnega, Babak Najand, Hossein Zare

Journal of Biomedical and Life Sciences 2025, 5(1), 14-29. DOI: 10.31586/jbls.2025.1145

Abstract Background: While educational attainment is generally associated with reduced reliance on Social Security and disability benefits, Minorities' Diminished Returns (MDRs) theory suggests that the socioeconomic benefits of educational attainment are not equally distributed across racial groups and are weaker for minoritized populations. This study explores the association between educational [...] Read more.

Background: While educational attainment is generally associated with reduced reliance on Social Security and disability benefits, Minorities' Diminished Returns (MDRs) theory suggests that the socioeconomic benefits of educational attainment are not equally distributed across racial groups and are weaker for minoritized populations. This study explores the association between educational attainment and reliance on Social Security and disability benefits among Black and White adults in the United States. Objective: Building on the MDRs framework, we analyzed data from the National Health Interview Survey (NHIS) 2023 to examine how educational attainment impacts reliance on Social Security disability income, disability benefits, and public assistance for Black and White adults. Methods: We used a nationally representative sample of Black and White adults from the NHIS 2023 dataset. The outcomes assessed were reliance on three income sources: (1) Social Security disability income, (2) disability benefit income, and (3) public assistance disability income. Educational attainment was classified into three levels: less than high school (reference), high school diploma to some college, and college graduate or more. Logistic regression models assessed the relationship between educational attainment and reliance on each income source, with separate analyses for Black and White adults to evaluate differential effects. Results: Higher levels of educational attainment (high school diploma to some college and college graduate or more) were associated with lower odds of relying on Social Security disability, disability benefits, and public assistance. However, the protective effects of educational attainment were notably stronger for White adults than for Black adults. Among Black adults, even high educational attainment showed limited effectiveness in reducing reliance on these income sources, underscoring the Minorities' Diminished Returns (MDRs) phenomenon. Conclusions: Although educational attainment reduces reliance on Social Security and disability-related income sources, these protective effects are less pronounced for Black adults compared to White adults. The findings reveal persistent racial disparities in the economic returns of education, suggesting that structural factors may undermine the socioeconomic and health benefits of educational achievement for Black Americans. Targeted policy interventions may be needed to improve economic stability for Black adults, including those with higher educational credentials.

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Open Access January 23, 2025

Population Diversity Matters: Heterogeneity of Biopsychosocial Pathways from Socioeconomic Status to Tobacco Use via Cerebral Cortical Volume in the ABCD Study

Shervin Assari, Hossein Zare

Journal of Cellular Neuroscience 2025, 1(1), 12-23. DOI: 10.31586/jcn.2025.1132

Abstract Background: Most neuroscience research has predominantly focused on White, middle-class populations, leading to gaps in understanding how socioeconomic status (SES) influences brain development and health behaviors in racially diverse groups. Tobacco use, a major public health concern, is influenced by both family and neighborhood SES, with early initiation during adolescence predicting [...] Read more.

Background: Most neuroscience research has predominantly focused on White, middle-class populations, leading to gaps in understanding how socioeconomic status (SES) influences brain development and health behaviors in racially diverse groups. Tobacco use, a major public health concern, is influenced by both family and neighborhood SES, with early initiation during adolescence predicting long-term health outcomes. The Adolescent Brain Cognitive Development (ABCD) study provides a unique opportunity to examine racial disparities in the pathways from SES to brain development and behavior, especially through the lens of Marginalization-Related Diminished Returns (MDRs), where the effects of SES are attenuated for minority groups. Objective: This study investigates racial variation in the associations between SES, cerebral cortical volume, and tobacco use initiation, comparing Black and White youth over 4-6 years of follow-up. Methods: Data from the ABCD study were analyzed to assess pathways from family income to adolescents’ cortical volume via the needs-to-income ratio, and from cortical volume to tobacco use initiation. Structural equation modeling was used to evaluate these pathways, stratified by race, with a focus on comparing Black and White participants. Covariates included family and neighborhood SES, demographic factors, and baseline behavioral measures. Results: We found that the positive association between income (via the needs-to-income ratio) and total cortical volume was significantly weaker for Black youth compared to White youth. Additionally, the link between larger total cortical volume and reduced risk of tobacco initiation was also weaker in Black adolescents. These findings were consistent over 4-6 years of follow-up, suggesting that Black youth experience diminished returns from higher SES in terms of brain development and behavioral outcomes. Conclusions: Our findings highlight significant racial disparities in the pathways from SES to brain development and tobacco use initiation, supporting the Marginalization-Related Diminished Returns (MDRs) framework. While higher SES is associated with larger cortical volumes and lower tobacco use risk in White youth, these associations are attenuated in Black adolescents.

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Open Access January 20, 2025

Deep Learning-Based Sentiment Analysis: Enhancing IMDb Review Classification with LSTM Models

Vivek Varadharajan, Nathan Smith, Dinesh Kalla, Fnu Samaah, Vishwanadham Mandala

Universal Journal of Computer Sciences and Communications 2025, 4(1), 1-14. DOI: 10.31586/ujcsc.2025.1249

Abstract Sentiment analysis, a vital aspect of natural language processing, involves the application of machine learning models to discern the emotional tone conveyed in textual data. The use case for this type of problem is where businesses can make informed decisions based on customer feedback, identify the sentiments of their employees, and make decisions on hiring or retention, or for that matter, [...] Read more.

Sentiment analysis, a vital aspect of natural language processing, involves the application of machine learning models to discern the emotional tone conveyed in textual data. The use case for this type of problem is where businesses can make informed decisions based on customer feedback, identify the sentiments of their employees, and make decisions on hiring or retention, or for that matter, classify a text based on its topic like whether it is about a particular subject like physics or chemistry as is useful in search engines. The model leverages a sequential architecture, transforms words into dense vectors using an Embedding layer, and captures intricate sequential patterns with two Long Short-Term Memory (LSTM) layers. This model aims to effectively classify sentiments in text data using a 50-dimensional embedding dimension and 20 % dropout layers. The use of rectified linear unit (ReLU) activations enhances non-linearity, while the SoftMax activation in the output layer aligns with the multi-class nature of sentiment analysis. Both training and test accuracy were well over 80%.

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Open Access November 21, 2024

Financial Strain Partially Explains Diminished Returns of Parental Education in the ABCD Study

Shervin Assari, Hossein Zare

Open Journal of Neuroscience 2024, 2(1), 25-34. DOI: 10.31586/ojn.2024.1129

Abstract Background: Previous research shows that socioeconomic status (SES) positively impacts children's development, yet the benefits are not equally distributed across racial groups. According to the Minorities’ Diminished Returns (MDRs) framework, Black children tend to experience smaller gains from parental education compared to White children. Objective: Building on the MDRs framework, [...] Read more.

Background: Previous research shows that socioeconomic status (SES) positively impacts children's development, yet the benefits are not equally distributed across racial groups. According to the Minorities’ Diminished Returns (MDRs) framework, Black children tend to experience smaller gains from parental education compared to White children. Objective: Building on the MDRs framework, this study examines whether high financial strain contributes to the diminished returns of parental education for Black children, using data from the Adolescent Brain Cognitive Development (ABCD) Study. We hypothesized that: (1) there would be a positive effect of parental education on total cortical volume, (2) this effect would be weaker for Black than White children, and (3) higher household financial strain in Black families would mediate the diminished returns of parental education on total cortical volume for Black children. Methods: Data were drawn from the baseline ABCD Study, focusing on 7,936 9- and 10-year-old children identified as either Black (n = 1,775) or White (n = 6,161). Parental education was the key independent variable, covariates included age, sex, household income, and marital status, race was the moderator, financial strain was the mediator, and total cortical volume was the outcome. Structural Equation Models (SEMs) were employed to examine the associations between parental education and cortical volume, with financial strain as a mediator and race as a moderator. Results: Higher parental education was associated with greater cortical volume in the pooled sample. However, this effect was significantly weaker for Black children. Financial strain partially mediated the observed diminished returns of parental education. Conclusion: High financial strain experienced by middle-class Black families partially explains why the association between parental education and child development is weaker in Black than White families. Interventions aimed at enhancing educational quality, increasing employability, expanding access to higher-paying jobs, and reducing labor market discrimination against Black individuals may help address racial inequities in child development in the U.S. Efforts to reduce financial strain should extend beyond low-income populations to also support higher-educated minority families.

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Open Access November 19, 2024

The Cost of Opportunity: Anti-Black Discrimination in High Resource Settings

Shervin Assari, Hossein Zare

Journal of Biomedical and Life Sciences 2024, 4(2), 92-110. DOI: 10.31586/jbls.2024.1128

Abstract Objective: Inequalities exist in children’s educational outcomes—including reading proficiency, school discrimination, and school disciplinary actions—across zip codes with different levels of educational childhood opportunity index (COI). This study examines the interaction between race and educational environment on children’s educational outcomes. We hypothesize that race, parental [...] Read more.

Objective: Inequalities exist in children’s educational outcomes—including reading proficiency, school discrimination, and school disciplinary actions—across zip codes with different levels of educational childhood opportunity index (COI). This study examines the interaction between race and educational environment on children’s educational outcomes. We hypothesize that race, parental education, and their interaction are associated with perceived school discrimination, which in turn reduces their cognitive, academic, and emotional wellbeing. We also hypothesize that Black children with high socioeconomic status (SES) report high perceived school discrimination in high-COI settings. Methods: Data were drawn from the Adolescent Brain Cognitive Development (ABCD) study, which measures a wide range of educational, cognitive, and emotional outcomes. At the same time, the ABCD children are sampled across areas with vast differences in COI rankings, that can be classified into these five categories: very high, high, average, low, and very low educational COIs. Our structural equation models (SEM) tested the additive and interactive effects of race and educational attainment on perceived school discrimination, and the effects of school discrimination on various cognitive abilities (reading proficiency, picture vocabulary, and list sorting working memory), school suspension, as well as depressed mood. Our multi-group SEM assessed how these relationships vary across educational COI levels. Results: Our findings showed that high SES Black children report highest school discrimination in residential areas with highest COIs. This is based on the observation that the interaction between race and parental education on experiences of school discrimination were only significant in areas with highest COI. Across residential areas with different COI levels, students who experienced higher school discrimination had higher suspension, worse depression, and worse cognitive performance. Conclusion: While higher COIs are associated with better academic outcomes, Black-White gaps exist in the role of increased COI through increased racial bias that children perceive. These findings underscore the complexity of educational equity, suggesting that improving COI alone is insufficient for eliminating racial disparities in school experiences. Policies should be in place to reduce school-based discrimination against Black students in high COI settings.

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Open Access November 05, 2024

Black-White Gap Across Levels of Educational Childhood Opportunities: Findings from the ABCD Study

Shervin Assari, Hossein Zare

Open Journal of Educational Research 2024, 4(6), 365-380. DOI: 10.31586/ojer.2024.1124

Abstract Objective: This study examines racial disparities in educational outcomes—including reading proficiency, grade point average (GPA), school discrimination, and school disciplinary actions—across regions with different levels of educational childhood opportunity index (COI). Our aim is to explore how these racial gaps between Black and White students vary in areas with differing educational [...] Read more.

Objective: This study examines racial disparities in educational outcomes—including reading proficiency, grade point average (GPA), school discrimination, and school disciplinary actions—across regions with different levels of educational childhood opportunity index (COI). Our aim is to explore how these racial gaps between Black and White students vary in areas with differing educational opportunities. We hypothesize that higher COI is associated with smaller academic achievement gaps but may also correspond with greater racial bias in unfair school treatment. Methods: Data were drawn from the Adolescent Brain Cognitive Development (ABCD) study, which provides comprehensive measures of educational outcomes, cognitive performance, and COI. National COI rankings were used to classify regions into five categories: very high, high, average, low, and very low educational opportunity. We analyzed racial gaps in reading proficiency, and experiences of discrimination and suspension across these COI categories. Multi-group Structural Equation Models (SEM) were used to assess how the relationship between race and educational outcomes varies across COI levels. Results: Our findings confirmed that Black-White gaps in reading proficiency and cognitive test performance (Flanker task) were less pronounced in regions with higher COI. However, racial disparities in school disciplinary actions and experiences of discrimination were more pronounced in higher-opportunity areas. Specifically, the effect of Black race was stronger in regions with the highest COI, where Black students experienced a disproportionately higher rate of unfair school treatment, including both school discrimination and suspensions, compared to their White peers. Conclusion: This exploratory study supports that while higher educational opportunities are associated with smaller academic achievement gaps between Black and White students, they might be linked to increased racial bias in school disciplinary actions and discriminatory treatment. These findings underscore the complexity of educational equity, suggesting that improving access to quality education alone is insufficient to eliminate racial disparities in school experiences. Addressing school-based bias and discrimination must accompany efforts to enhance educational opportunities.

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Open Access October 19, 2024

Quantitative Intersectionality Scoring System (QISS): Opportunities for Enhancing Predictive Modeling, Comparative Analysis, Health Needs Assessment, and Policy Evaluation

Shervin Assari, Hossein Zare

Journal of Social Mathematical & Human Engineering Sciences 2024, 3(1), 49-61. DOI: 10.31586/jsmhes.2024.1066

Abstract Intersectionality has significantly enhanced our understanding of how overlapping social identities—such as race, ethnicity, gender, sex, class, and sexual orientation—interact to shape individual experiences. However, despite its theoretical importance, much of the existing literature has relied on qualitative approaches to define and study intersectionality, limiting its application in [...] Read more.

Intersectionality has significantly enhanced our understanding of how overlapping social identities—such as race, ethnicity, gender, sex, class, and sexual orientation—interact to shape individual experiences. However, despite its theoretical importance, much of the existing literature has relied on qualitative approaches to define and study intersectionality, limiting its application in predictive modeling, comparative analysis, and policy development. This paper introduces the concept of Quantitative Intersectionality Scoring System (QISS), a novel approach that assigns numerical scores to intersecting identities, thereby enabling a more systematic and data-driven analysis of intersectional effects. We argue that QISS can substantially enhance the utility and predictive validity of quantitative models by capturing the complexities of multiple, overlapping social determinants. By presenting concrete examples, such as the varying impacts of socioeconomic mobility on life expectancy among different intersectional groups, we demonstrate how QISS can yield more precise and reliable forecasts. Such a shift would allow policymakers and service providers to dynamically assess economic and health needs, as well as the uncertainties around them, as individuals move through different social and economic contexts. QISS-based models could be more responsive to the complexities of intersecting identities, allowing for a more quantified and nuanced evaluation of policy interventions. We conclude by discussing the challenges of implementing QISS and emphasizing the need for further research to validate these quantifications using robust quantitative methods. Ultimately, adopting QISS has the potential to improve the accuracy of predictive models and the effectiveness of policies aimed at promoting social justice and health equity.

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Open Access August 20, 2024

A Modified Approach for the Treatment of Molars with Advanced Furcation Involvements (Sandwich’s Technique) - (III) Combined use of TPP, SRP, RSR and CSCTD

Guey-Lin Hou

World Journal of Dental Sciences and Research 2024, 1(1), 34-41. DOI: 10.31586/wjdsr.2024.1000

Abstract The purpose of this study was to assess different periodontitis groups affected with mild, moderate and severe alveolar bone levels and treated using the Sandwich’s procedures. A total of 53 subjects, who had taken two sets of full-mouth standarized paralleling radiographs with mean observation time was 10.18±3.89 years and (ranges: 5.1 to 18.3 years) were collected for the past 20 years. The [...] Read more.

The purpose of this study was to assess different periodontitis groups affected with mild, moderate and severe alveolar bone levels and treated using the Sandwich’s procedures. A total of 53 subjects, who had taken two sets of full-mouth standarized paralleling radiographs with mean observation time was 10.18±3.89 years and (ranges: 5.1 to 18.3 years) were collected for the past 20 years. The radiographic alveolar bone levels (RABL) at mesial and distal aspects of teeth were assessed by measuring the distance between cemento-enamel junction (CEJ) and the bone crest using an electronic digimatic caliper (EDC) under 7.5 magnified radiographs. The patients, who presented with SAP, were between 24 and 84 years of age, with a mean age of 54.8±10.2years. Although, the treatment of angular defects in molars with guided tissue regeneration, emdogain has been reported and has exhibited significant and predictable results, however, afforded very limited and less predictable results in the treatment of advanced class II and III maxillary furcation defects. The majority of root resection procedures are commonly recommended for treating advanced molar furcation, in particular located at molars with class III furcation involvement, there is still some controversy regarding the long-term prognosis after different treatment modalities. In general, the root resection procedure is a surgical approach for simultaneously performing a periodontal flap operation at first and followed by the amputation and/or resection of maxillary root(s). There are some complications and disadvantages, such as post-operative pain and bleeding, swelling, infection, etc. The present report is to describe the combination of therapeutic provisional prosthesis (TPP), fixed prosthesis, non-surgical procedure using root separation and/or resection (RSR) and for the treatment of advanced Class II and III furcation-Involved molars. In addition, evidenced-based clinical trials of retrospective and longitudinal data were also prescribed here. The purpose of this study was to present treatment procedures of Sandwich’s technique and retrospectively to evaluate the long-term clinical trials of this method in treating molar teeth with SAP and molar FI who were diagnosed as guarded and/or hopeless prognosis.

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Open Access August 03, 2024

Facilities Audit in the Kindergarten Schools in Yendi Municipality of Ghana

Peter Munyi Nigal

Open Journal of Educational Research 2024, 4(4), 174-186. DOI: 10.31586/ojer.2024.1033

Abstract This study aimed to examine the school facility quality on children's social achievement in Kindergarten in the Yendi Municipality of the Northern Region. The study adopted a mixed-method approach. The study population comprised twenty-five (25) teachers and five (5) head teachers from all kindergarten schools in five circuits in the Yendi municipality. A purposive sampling technique was used to [...] Read more.

This study aimed to examine the school facility quality on children's social achievement in Kindergarten in the Yendi Municipality of the Northern Region. The study adopted a mixed-method approach. The study population comprised twenty-five (25) teachers and five (5) head teachers from all kindergarten schools in five circuits in the Yendi municipality. A purposive sampling technique was used to select the study participants. The main instruments for data collection were structured questionnaires and observation checklists. The data were statistically analysed using simple frequencies and percentiles presented on a simple frequency table. The study reveals that inadequate access to essential resources, such as textbooks, teaching and learning materials, and proper classroom environments, adversely affects teacher effectiveness and student engagement. The findings indicate that while some facilities, such as restrooms and playgrounds, are available, many need to be updated or more to meet the needs of the children. To enhance the educational experience for young learners, stakeholders, including the government, educational authorities, and the community, must collaborate to improve the infrastructure and resources available in these schools.

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Open Access July 10, 2024

Achieving Maintainability, Readability & Understandability of Software Projects using Code Smell Prediction

Linda Susan Amos, Eng Tirivangani Magadza

Universal Journal of Computer Sciences and Communications 2024, 3(2), 54-62. DOI: 10.31586/ujcsc.2024.949

Abstract Maintenance of large-scale software is difficult due to large size and high complexity of code.80% of software development is on maintenance and the other 60% is on trying to understand the code. The severity of the code smells must be measured as well as fairness on it because it will help the developers especially in large scale source code projects. Code smell is not a bug in the system as it [...] Read more.

Maintenance of large-scale software is difficult due to large size and high complexity of code.80% of software development is on maintenance and the other 60% is on trying to understand the code. The severity of the code smells must be measured as well as fairness on it because it will help the developers especially in large scale source code projects. Code smell is not a bug in the system as it doesn’t prevent the program from functioning but it may increase the risk of software failure or performance slowdown. Therefore, this paper seeks to help developers with early prediction of severity of code smells and test the level of fairness on the predictions especially in large scale source code projects. Data is the collection of facts and observations in terms of events, it is continuously growing, getting denser and more varied by the minute across different disciplines or fields. Hence, Big Data emerged and is evolving rapidly, the various types of data being processed are huge, but no one has ever thought of where this data resides, we therefore noticed this data resides in software’s and the codebases of the software’s are increasingly growing that is the size of the modules, functionalities, the size of the classes etc. Since data is growing so rapidly it also mean the codebases of software’s or code are also growing as well. Therefore, this paper seeks to discuss the 5V’s of big data in the context of software code and how to optimize or manage the big code. When we talk of "Big Code for Big Software's," we are referring to the specific challenges and considerations involved in developing, managing, and maintaining of code in large-scale software systems.

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Open Access May 28, 2024

Mutational Analysis of Driver and Non-driver Mutations of Philadelphia Chromosome-negative Myeloproliferative Neoplasms; Diagnosis and Recent Advances in Treatment

Blessing Opeyemi Afolabi, Amani Riwaz, Jagathpriya Weerasena, Senani Williams, Thanuja Denipitiya, Buddhika Somawardana, Mishal Faizan, Prasanna Galhena

World Journal of Cancer and Oncology Research 2024, 3(1), 13-32. DOI: 10.31586/wjcor.2024.909

Abstract Myeloproliferative neoplasms (MPNs) are hematological disorders affecting myeloid stem cells. They are classified as Philadelphia (Ph) chromosome positive-chronic myeloid leukemia, and Ph-negative polycythemia vera, essential thrombocythemia, primary myelofibrosis, chronic neutrophilic leukemia, chronic eosinophilic leukemia, juvenile myelomonocytic leukemia, and MPN unclassifiable. This review is mainly focused on the Ph-negative MPNs namely, PV, ET, and PMF. These affect both males and females with a slight male predominance, with patients mainly presenting in the seventh decade. Patients often present with thrombotic events resulting in complications that lower survival rates. The major driver mutations that have been identified in MPNs are JAK2 Exon 14, JAK2 Exon 12, MPL Exon 10, and CALR Exon 9. The importance of these driver mutations gives due recognition to their inclusion into the 2022 diagnostic criteria of the MPN WHO Classification. However, other non-driver mutations have also been reported, especially in triple-negative cases. These mutations lead to downstream constitutive activation of the JAK/STAT signaling pathway, as well as the MAPK, and PI3K/Akt pathways. Insights into the molecular pathogenesis of MPN and its association with JAK2, CALR, and MPL [...] Read more.

Myeloproliferative neoplasms (MPNs) are hematological disorders affecting myeloid stem cells. They are classified as Philadelphia (Ph) chromosome positive-chronic myeloid leukemia, and Ph-negative polycythemia vera, essential thrombocythemia, primary myelofibrosis, chronic neutrophilic leukemia, chronic eosinophilic leukemia, juvenile myelomonocytic leukemia, and MPN unclassifiable. This review is mainly focused on the Ph-negative MPNs namely, PV, ET, and PMF. These affect both males and females with a slight male predominance, with patients mainly presenting in the seventh decade. Patients often present with thrombotic events resulting in complications that lower survival rates. The major driver mutations that have been identified in MPNs are JAK2 Exon 14, JAK2 Exon 12, MPL Exon 10, and CALR Exon 9. The importance of these driver mutations gives due recognition to their inclusion into the 2022 diagnostic criteria of the MPN WHO Classification. However, other non-driver mutations have also been reported, especially in triple-negative cases. These mutations lead to downstream constitutive activation of the JAK/STAT signaling pathway, as well as the MAPK, and PI3K/Akt pathways. Insights into the molecular pathogenesis of MPN and its association with JAK2, CALR, and MPL mutations have identified JAK2 as a rational therapeutic target. Thus, as an approach to MPN therapy, JAK2 inhibitors, such as ruxolitinib, have been shown to effectively inhibit JAK2, and are currently in clinical trials in combination with other drug classes. This review comprehensively examines the molecular markers of the main Ph-negative MPNs, as well as diagnosis and treatment options.

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Review Article

Open Access May 14, 2024

A review of reliability techniques for the evaluation of Programmable logic controller

A.F. Obele, D.O. Aikhuele, H.U. Nwosu

World Journal of Electrical and Electronic Engineering 2024, 3(1), 24-57. DOI: 10.31586/wjeee.2024.947

Abstract PLCs, or programmable logic controllers, are essential parts of contemporary industrial automation systems and are responsible for managing and keeping an eye on a variety of operations. PLC reliability is critical to maintaining industrial systems' continuous and secure operation. A wide range of reliability strategies were used to improve the reliability of Programmable Logic Controllers, and [...] Read more.

PLCs, or programmable logic controllers, are essential parts of contemporary industrial automation systems and are responsible for managing and keeping an eye on a variety of operations. PLC reliability is critical to maintaining industrial systems' continuous and secure operation. A wide range of reliability strategies were used to improve the reliability of Programmable Logic Controllers, and this article methodically looks at them all. The evaluation classified PLC reliability techniques into Root Cause Analysis (RCA), Reliability Centered Maintenance (RCM), Hazard analysis (HA), Reliability block diagram (RBD), Fault tree analysis (FTA), Physics of failure (PoF) and FMEA/FMECA, after thoroughly reviewing the body of literature. The proportion of reviewed papers using either RCA, RCM, FMEA/FMECA, FTA, RBD, RCM, PoF, or Hazard analysis to increase the reliability of PLCs showed that RCA, which makes up 20% of the publications reviewed, has been used the most to increase the reliability of the PLC, followed by HA, RCM, RBD, FTA, and PoF, which account for 17%, 16%, 16%,13%, 10%, and 8% of the articles reviewed, respectively. The paper discusses new developments and trends in PLC reliability, such as the application of machine learning (ML) and artificial intelligence (AI) to fault detection and predictive maintenance.

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Open Access May 01, 2024

An Appraisal of Teacher-Trainees’ Academic Self-Concept and Performance in the Colleges of Education in Ghana

Juliana Dontoh

Open Journal of Educational Research 2024, 4(2), 66-77. DOI: 10.31586/ojer.2024.924

Abstract This study investigates the relationship between teacher-trainees' academic self-concept and performance in Colleges of Education in Ghana. Utilizing a mixed-methods approach, data were collected from teacher-trainees in Ada and Accra Colleges of Education through surveys and interviews. The study hypothesised that there is no significant relationship between academic self-concept and academic [...] Read more.

This study investigates the relationship between teacher-trainees' academic self-concept and performance in Colleges of Education in Ghana. Utilizing a mixed-methods approach, data were collected from teacher-trainees in Ada and Accra Colleges of Education through surveys and interviews. The study hypothesised that there is no significant relationship between academic self-concept and academic performance among teacher-trainees. Results revealed a statistically significant positive relationship between academic self-concept and performance, indicating that teacher-trainees with higher academic self-concepts tend to perform better academically. Furthermore, gender differences in academic self-concept and performance were explored, with findings suggesting no significant gender disparities in either domain. Institutional factors, such as school climate and resources, were also found to influence academic performance. Recommendations include promoting positive academic self-concept, implementing gender-responsive pedagogy, and creating supportive learning environments in Colleges of Education. By addressing these factors, teacher education programs can better prepare future educators for success in the classroom and contribute to the improvement of educational quality in Ghana.

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Open Access April 11, 2024

5V’s of Big Data Shifted to Suite the Context of Software Code: Big Code for Big Software Projects

Linda Susan Amos, Eng. Tirivangani Magadza

Journal of Artificial Intelligence and Big Data 2024, 4(1), 36-47. DOI: 10.31586/jaibd.2024.911

Abstract Data is the collection of facts and observations in terms of events, it is continuously growing, getting denser and more varied by the minute across different disciplines or fields. Hence, Big Data emerged and is evolving rapidly, the various types of data being processed are huge, but no one has ever thought of where this data resides, we therefore noticed this data resides in software’s and the [...] Read more.

Data is the collection of facts and observations in terms of events, it is continuously growing, getting denser and more varied by the minute across different disciplines or fields. Hence, Big Data emerged and is evolving rapidly, the various types of data being processed are huge, but no one has ever thought of where this data resides, we therefore noticed this data resides in software’s and the codebases of the software’s are increasingly growing that is the size of the modules, functionalities, the size of the classes etc. Since data is growing so rapidly it also mean the codebases of software’s or code are also growing as well. Therefore, this paper seeks to discuss the 5V’s of big data in the context of software code and how to optimize or manage the big code. When we talk of "Big Code for Big Software's," we are referring to the specific challenges and considerations involved in developing, managing, and maintaining of code in large-scale software systems.

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Open Access March 06, 2024

Embedded Architecture of SAP S/4 HANA ERP Application

Venkata Pavan Kumar Juturi

Universal Journal of Computer Sciences and Communications 2024, 3(1), 6-9. DOI: 10.31586/ujcsc.2024.899

Abstract The SAP HANA Application to handle operational workloads that are consistent with transactions while also supporting intricate business analytics operations. Technically speaking, the SAP HANA database is made up of several data processing engines that work together with a distributed query processing environment to provide the entire range of data processing capabilities. This includes graph and [...] Read more.

The SAP HANA Application to handle operational workloads that are consistent with transactions while also supporting intricate business analytics operations. Technically speaking, the SAP HANA database is made up of several data processing engines that work together with a distributed query processing environment to provide the entire range of data processing capabilities. This includes graph and text processing for managing semi-structured and unstructured data within the same system, as well as classical relational data that supports both row- and column-oriented physical representations in a hybrid engine. The next-generation SAP Business Suite program designed specifically for the SAP HANA Platform is called SAP S/4HANA. The key features of SAP S/4HANA are an intuitive, contemporary user interface (SAP Fiori); planning and simulation options in many conventional transactions; simplification of business processes; significantly improved transaction efficiency; faster analytics.

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Review Article

Open Access January 30, 2024

Perceptions and Attitudes of Social Studies Teachers in the Usage of Multimedia Resources in Teaching and Learning of Social Studies Concepts

Cynthia Anim

Open Journal of Educational Research 2024, 4(1), 27-41. DOI: 10.31586/ojer.2024.897

Abstract Qualitatively, the study focused constructivist [...] Read more.

Qualitatively, the study focused constructivist research paradigm. A case study research design was adopted for the study. The study population comprised all six (6) Social Studies teachers, the headmaster and the School Improvement Support Officer (SISO). Purposive and convenient sampling techniques were used to select the participants for the study. The main instrument for data collection was a semi-structured interview guide and observation protocol. The data were analysed using the interpretative technique based on the themes arrived at during the data collection from the semi-structured interview. The study revealed that multimedia usage is a quality enhancer in educational settings for teaching Social Studies concepts. It also indicated that teachers perceived their incompetence when using technology as they feel less in control of their classes and are unlikely to explore new possibilities that utilise technology when planning their lessons. They learn the theoretical aspect and practice and perceive the teacher’s role in the classroom changes from an instructor to a facilitator, which changes the teaching method to student-centred (constructive methodology) which aids content absorption by the learner through learning by doing. The study also indicated that teachers perceived their incompetence when using technology as they felt less in control of their classes and were unlikely to explore new possibilities that utilised technology when planning their lessons. It is recommended that the Ministry of Education and National Teaching Council collaborate with Ghana Education Service to set up Social Studies training centres in all the district capitals equipped with competent staff to periodically organise in-service training for teachers to build their capacity on how to pedagogically incorporate multimedia resources in their instructions to improve students learning outcomes.

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Open Access March 01, 2024

Challenges Learners Face in Using the Flipped Classroom Model in the Teaching and Learning of Religious and Moral Education in the Nzema East Municipality of the Western Region of Ghana

Solomon Appiah

Universal Journal of Social Sciences and Humanities 2024, 4(1), 12-19. DOI: 10.31586/ujssh.2024.892

Abstract Challenges are part and parcel of human activities. Quantitatively, a relational survey model research was adopted for the study. The population for this study comprised all Junior High School (JHS) Religious and Moral Education (RME) students in Bokro M/A JHS and the Eziom Methodist JHS in the Nzema-East Municipality of the Western Region. Purposive and random sampling techniques were used to [...] Read more.

Challenges are part and parcel of human activities. Quantitatively, a relational survey model research was adopted for the study. The population for this study comprised all Junior High School (JHS) Religious and Moral Education (RME) students in Bokro M/A JHS and the Eziom Methodist JHS in the Nzema-East Municipality of the Western Region. Purposive and random sampling techniques were used to select the schools and respondents for the study. The main instruments for data collection were a test and a questionnaire. The data from both the control and experimental groups on the challenges learners face in using the flipped classroom model in RME were analysed using means and standard deviations. The study indicates the challenges learners face by employing the flipped classroom model to learn include lack of data to access the internet, frequent light outs, lack of technological devices to access contents, frequent power outages, and difficulty in comprehending some of the materials given to them. Given that learners face frequent power outages during periods that they watch videos assigned to them by their teachers, it is recommended that the government and the Electricity Company of Ghana ensure that there is a constant flow of power to allow learners trying to use the flipped classroom to learn are without any hindrance. It is also recommended that the Ghana education service should organise continuing professional development for RME teachers on effective uses of technology in teaching and learning subject concepts. The government should also supply the basic schools with all the needed technological devices to promote effective teaching, learning and assessment.

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Open Access February 15, 2024

Influence of Televangelism on Ghanaian Women

Nicholas Asmah-Sey

Universal Journal of Social Sciences and Humanities 2024, 4(1), 1-11. DOI: 10.31586/ujssh.2024.880

Abstract The purpose of this study was to examine the influence of new religious movements’ televangelism on women in Dunkwa-on-Offin in the central region of Ghana. The study adopted the sequential explanatory mixed-methods approach. The study population was important because they make up a bigger share of individuals who attend mainline churches and are constantly exposed to televangelism in their daily [...] Read more.

The purpose of this study was to examine the influence of new religious movements’ televangelism on women in Dunkwa-on-Offin in the central region of Ghana. The study adopted the sequential explanatory mixed-methods approach. The study population was important because they make up a bigger share of individuals who attend mainline churches and are constantly exposed to televangelism in their daily lives. A multi-stage sampling technique (purposive and simple random sampling techniques) was used to select two hundred (200) women for the study. Krejcie and Morgan's table determined the two women population of 400 (for both churches). The main instruments for data collection were questionnaires and interview guides. Quantitative data was analysed with the use of the IBM SPSS statistics software version 23, to compute frequency distributions, percentages, tables and cross-tabulation. Descriptive statistics and inferential analysis were employed in the analysis of the data. Qualitative data was analyzed thematically by identifying relevant information, coding, classification and summaries. The study revealed that televangelism has influenced women to follow televangelists rather than the teachings of their churches. Also, the activity has influenced the youth and women to follow false teachings, prosperity and vain promises of travelling. The findings of the study revealed that televangelists’ messages are geared towards obtaining money and raising unrealistic hopes. It is recommended that the government should also establish and enforce policies and regulations that encourage genuine televangelism programming and deter televangelists who are driven by fraud and self-gain by registering all the churches and holding them accountable for their actions.

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Open Access January 07, 2024

Textuality in Text: A Discourse Analysis of Nelson Mandela‘s I Am the First Accused

Abudulai Rauf, Emmanuel Kwesi Asiedu, Dela Amenyedzi

Universal Journal of Literature and Linguistics 2024, 4(1), 7-21. DOI: 10.31586/ujll.2024.857

Abstract The thrust of this paper is to delve into the cohesive devices of political discourse as it pertains to Nelson Mandela‘s I Am the First Accused. The text was codified and the lexico-grammatical resources were examined in terms of semantic ties through the lens of Discourse analysis. The text was analysed based on Halliday and Hasan’s, 1976 five major cohesion classification categories: reference, demonstrative references, substitution, conjunction and lexical cohesion [...] Read more.

The thrust of this paper is to delve into the cohesive devices of political discourse as it pertains to Nelson Mandela‘s I Am the First Accused. The text was codified and the lexico-grammatical resources were examined in terms of semantic ties through the lens of Discourse analysis. The text was analysed based on Halliday and Hasan’s, 1976 five major cohesion classification categories: reference, demonstrative references, substitution, conjunction and lexical cohesion. The research indicated that there were sufficient phenomenon-example relationships within the text. In other words, there was adequate justification for claim statements within the text. There are also adequate cause-consequential relations in the text. Anaphoric references were commonplace in the text. It was also found out that cataphoric reference was sparingly used in the text. Analysis of the data also revealed that there were 30 instances of personal references, 21 demonstrative references, 3 instances of comparative references, and 6 instances of substitution. There were no instances of ellipsis. There were 7 instances of conjunction as a semantic link. There were 15 instances of repetition, 5 examples of synonyms and 3 instances of antonyms. It is recommended that public speakers and media practitioners take cognisance of cohesive devices and make their write-ups and speeches more cohesive and coherent for their audience and readers to decode meaning. Teachers of English as a second language should give serious attention to the teaching of cohesion as a semantic link within a text since cohesion and coherence aid the readability of a text. Cataphoric references sustain the interest of listeners and readers since they expect information yet to be given. Therefore, it is recommended that teachers of English as a second language should encourage their students to use some cataphors in their essays to create some kind of suspense in their readers. Critical Discourse Analysis (CDA) could also be used as an analytical tool to examine how power plays within the text.

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Open Access December 06, 2023

Success Factors of Adopting Cloud Enterprise Resource Planning

Venkata Pavan Kumar Juturi

Universal Journal of Computer Sciences and Communications 2023, 2(1), 9-14. DOI: 10.31586/ujcsc.2023.830

Abstract The technologies for cloud ERP (Enterprise Resource Planning) have revolutionized the field of information technologies. Any kind of business can benefit from their flexibility, affordability, scalability, adaptation, availability, and customizable data. An advancement of classic ERP, cloud enterprise resource planning (C-ERP) provides the benefits of cloud computing (CC), including resource [...] Read more.

The technologies for cloud ERP (Enterprise Resource Planning) have revolutionized the field of information technologies. Any kind of business can benefit from their flexibility, affordability, scalability, adaptation, availability, and customizable data. An advancement of classic ERP, cloud enterprise resource planning (C-ERP) provides the benefits of cloud computing (CC), including resource elasticity and ease of use. The rise of cloud computing affects on-premise ERP systems in terms of architecture and cost. Cloud-based ERP systems make the claim to be appropriate for digital corporate settings. System quality, security, vendor lock-in, and data accessibility are recognized as the technological issues. Industry 4.0 refers to the re-engineering and revitalization of modern factories through the integration of cloud-based operations, industrial internet connectivity, additive manufacturing, and cybersecurity platforms. One of the four main pillars of Industry 4.0, cloud-based Enterprise Resource Planning (Cloud ERP), is a component of cloud operations that aids in achieving greater standards of sustainable performance.

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Review Article

Open Access September 18, 2023

An Empirical Study of Challenges and Management Supports in Teaching and Learning of Social Studies in the Public Senior High Schools of Ghana

Cynthia Anim

Universal Journal of Social Sciences and Humanities 2023, 3(2), 69-79. DOI: 10.31586/ujssh.2023.780

Abstract The purpose of this study was to examine the challenges and management supports in teaching and learning of Social Studies in Public Senior High Schools in Akuapem South and North Districts in the Eastern Region of Ghana. Quantitatively, the study adopted a cross-sectional survey using a descriptive correlational research design to assess Challenges and Management Supports Teaching and Learning of [...] Read more.

The purpose of this study was to examine the challenges and management supports in teaching and learning of Social Studies in Public Senior High Schools in Akuapem South and North Districts in the Eastern Region of Ghana. Quantitatively, the study adopted a cross-sectional survey using a descriptive correlational research design to assess Challenges and Management Supports Teaching and Learning of Social Studies in Public Senior High Schools of Ghana. The population of the study comprised social studies teachers and students in the Akuapem South and Akuapem North Districts of the Eastern Region of Ghana. Purpose and probabilistic sampling procedures were used to select senior high schools, teachers and students for the study. The main instrument for data collection was a structured questionnaire (SQ). Data was collected from 261 final year students from five Senior High Schools and 33 Social Studies teachers using structured questionnaire. Data was analysed using SPSS Version 24. Descriptive statistics (mean, SD) was conducted to summarise the data and t-test was applied to establish if there is a statistically significant difference in the perceptions of students and teachers on the school-based drivers and effective teaching and learning of social studies. The results of the study revealed that the key school-based drivers influencing the teaching and learning of social studies in the two districts relate to classroom environment; lack of management supports in terms of resource provision for practical lessons, lack of supportive physical environment such as large class size (t = 32.881, mean difference = 6.2422, p<0.05)- thus preventing teachers from engaging students in practical work and individualising their assignments (t-statistics=37.563, mean difference= 3.0920, p<0.05); and teachers inability to use diagnostics assessment tools to unraveled students difficulties and support them. The conclusion is that, the key drivers influencing effective teaching and learning of social studies are school-based and policy driven. The study therefore recommends that the government should support the teaching of Social Studies through provision of adequate resources to help teachers improve their output. Again, the student-teacher ratio should be reduced.

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Article

Open Access August 23, 2023

Investigating Ghanaian Pre-Tertiary Teachers' Adaption of Differentiated Instructional Strategies

Ernest Sarpong Akore, Philemon Afutor, Anthony Kwadwo Badu-Domfeh, Clarke Ebow Yalley

Open Journal of Educational Research 2023, 3(3), 187-199. DOI: 10.31586/ojer.2021.759

Abstract The emphasis on adapting learner-centric education and inclusive pedagogies to promote learning effectiveness is part of the paradigm shift in teaching. By maximizing variability, differentiated education methodologies ensure individualized instruction and equal academic success for all students. Based on this justification, this study sought to investigate Ghanaian pre-tertiary teachers' adaption [...] Read more.

The emphasis on adapting learner-centric education and inclusive pedagogies to promote learning effectiveness is part of the paradigm shift in teaching. By maximizing variability, differentiated education methodologies ensure individualized instruction and equal academic success for all students. Based on this justification, this study sought to investigate Ghanaian pre-tertiary teachers' adaption of differentiated instruction strategies during the teaching and learning processes. Pre-tertiary teachers within the Kwahu Ridge of the Eastern Region of Ghana were sampled to respond to the close-ended questionnaire. A multi-pronged approach was employed in the data analysis. Respondents possessed knowledge of the differentiated instruction strategies, however, there were some disparities between first and second-cycle teachers. Significant factors influenced the range of diversity in the classroom and knowledge and experience, with the latter showing an unexpected negative influence, possibly due to experienced teachers' preference for traditional methods of teaching. Notwithstanding, a perfect alignment of instructional techniques, activities and assessment practices to accommodate the heterogeneity of students stimulate active participation, interest and readiness to learn. It is recommended that educational stakeholders should recognize the dynamic nature of the learning environment and better provide pre-tertiary teachers with the tools and support needed to employ differentiated instruction techniques successfully to ensure inclusive, individualized and intensive instruction in the classroom.

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Open Access May 15, 2023

Social Studies Teachers' Authentic Assessment Practices, Tools and Challenges in Assessing Students' Learning Outcomes

George Asante, Nelson Kojo Brany, Seth Senyo Osafo, George Boateng

Universal Journal of Social Sciences and Humanities 2023, 3(1), 23-34. DOI: 10.31586/ujssh.2023.696

Abstract Assessment is a vital aspect of curriculum practice. The study adopted explanatory mixed-method approach and sequential research design. The population for the study comprised all Social Studies teachers in Junior High Schools in the Ayensuano District. Convenient sampling techniques and census method were used to select the district, and all the one hundred and twenty-seven (127) teachers who [...] Read more.

Assessment is a vital aspect of curriculum practice. The study adopted explanatory mixed-method approach and sequential research design. The population for the study comprised all Social Studies teachers in Junior High Schools in the Ayensuano District. Convenient sampling techniques and census method were used to select the district, and all the one hundred and twenty-seven (127) teachers who teach Social Studies in the junior high schools in the district. The main instruments used for data collection and analysis were questionnaire and interview guide. The quantitative data was analysed both descriptive and inferential statistical tools. The qualitative data was transliterated and coded based on themes. Pre-set themes were used to generate the transcript (text) data based upon the research questions and discussed. The study concluded that authentic assessment practices by Social Studies teachers included the occasional guidance they give to their students about how to interpret topics and situations into relevant tasks with a clearly defined goal, and how to relate their knowledge in practical challenges. The study also revealed that refined essays, oral presentations, interviews, case study discussions, and live performances as authentic assessment strategies or tools Social Studies teachers used in assessing their students' learning outcomes in lessons. The study indicated that large class size, traditional assessment (examination) system, insufficient logistics and infrastructure, a paucity of funds to begin various activities and programs, a lack of motivation from school administrators, time constraints and difficulty in developing some authentic assessment tasks coupled with assessing some lessons using authentic assessment method are some of the criteria that influence the effectiveness of authentic assessment execution in teaching Social Studies courses. It is recommended that educational leaders should provide the resources to motivate Social Studies teachers to use authentic assessments for students’ learning in the classroom situation. It is also recommended that, Colleges of Education, Universities and National Teaching Council should organise professional development workshops and seminars to build the capacity of trained Social Studies teachers on the effective uses of authentic assessment practices.

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