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Open Access September 02, 2025

Using materials of radar mapping from spacecrafts as a way to increase reliability, as well as to reduce the cost and time of site selection for extended linear construction projects

Oleg Mamaev

World Journal of Civil Engineering and Architecture 2025, 3(1), 1-10. DOI: 10.31586/wjcea.2025.6163

Abstract The article describes the use of publicly available materials of radar mapping from spacecraft as a way to increase the reliability, as well as to reduce the cost and time of work to select the site of linear construction projects situated in remote underdeveloped areas. Based on the results of theoretical study and practical application of radar mapping of the Earth's surface from spacecrafts the [...] Read more.

The article describes the use of publicly available materials of radar mapping from spacecraft as a way to increase the reliability, as well as to reduce the cost and time of work to select the site of linear construction projects situated in remote underdeveloped areas. Based on the results of theoretical study and practical application of radar mapping of the Earth's surface from spacecrafts the conclusion is made about the availability of these materials, their reliability (relevance) and accuracy in order to select the site of linear construction projects at the concept design stage.

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Open Access February 21, 2025

Diminished Returns of Educational Attainment on Unpaid and Paid Maternity Leave of Mothers Giving Birth in Poverty

Shervin Assari, Mojgan Azadi, Hossein Zare

Universal Journal of Obstetrics and Gynecology 2025, 4(1), 1-11. DOI: 10.31586/ujog.2025.1240

Abstract Background: Maternity leave, whether paid or unpaid, is a critical resource that can significantly impact maternal well-being and newborn outcomes. However, its availability and utilization among mothers living in poverty remain understudied. Education is widely recognized as a key factor that increases access to both paid and unpaid leave. However, the theory of Minorities’ [...] Read more.

Background: Maternity leave, whether paid or unpaid, is a critical resource that can significantly impact maternal well-being and newborn outcomes. However, its availability and utilization among mothers living in poverty remain understudied. Education is widely recognized as a key factor that increases access to both paid and unpaid leave. However, the theory of Minorities’ Diminished Returns (MDRs) posits that structural racism, segregation, and labor market discrimination limit the benefits of socioeconomic resources, such as education, for Black and Latino individuals. This suggests that the effects of education on maternity leave may not be uniform across racial and ethnic groups. Objective: This study aimed to examine the MDRs of education on access to unpaid and paid maternity leave among Black and Latino mothers compared to White mothers giving birth while living in poverty. Methods: We utilized baseline data from the Baby’s First Years Study (BFY), a longitudinal investigation of the effects of poverty on child development. The sample consisted of 1,050 mothers living in poverty who had recently given birth. Maternity leave (paid and unpaid) was assessed via self-report, and educational attainment was measured in years of schooling. Structural equation modeling (SEM) and interaction terms were employed to analyze racial and ethnic differences in the relationship between education and access to maternity leave. Results: Educational attainment was positively associated with access to unpaid maternity leave for the overall sample of mothers giving birth in poverty, but this association was weaker for Black and Latino mothers compared to non-Latino White mothers. Education did not significantly increase the likelihood of paid maternity leave, and there were no group differences for this association. Conclusion: This study highlights the urgent needs to address structural racism, labor market discrimination, and residential segregation that diminish the impact of education on living conditions for Black and Latino mothers, compared to non-Latino White mothers, even for those living under poverty. Policymakers and practitioners should develop targeted interventions to reduce racial and ethnic disparities in access to paid and unpaid maternity leave and other critical resources, particularly for new mothers living in poverty. Addressing these inequities is essential for improving maternal and newborn health outcomes and promoting social justice.

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Open Access April 25, 2024

Green spaces more adapted and resilient to the current and future climatic conditions in the south of Portugal (Algarve): Xerophytic gardens using xeromorphic succulents

Delisa Xarepe, Ricardo Quinto Canas, Carmelo Maria Musarella

Research Journal of Ecology and Environmental Sciences 2024, 4(1), 16-28. DOI: 10.31586/rjees.2024.884

Abstract Considering the current climate conjuncture, it is a consensus that green spaces in large contemporary urban areas should be increasingly more numerous and simultaneously more sustainable, being adapted to the edaphoclimatic conditions of the site, and with reduced maintenance costs. In the case of Algarve, where this research is focused, the current and future water availability, assumes a [...] Read more.

Considering the current climate conjuncture, it is a consensus that green spaces in large contemporary urban areas should be increasingly more numerous and simultaneously more sustainable, being adapted to the edaphoclimatic conditions of the site, and with reduced maintenance costs. In the case of Algarve, where this research is focused, the current and future water availability, assumes a preponderant role in the design of green spaces, where the demands mentioned above can only be achieved if we deviate from conventional landscape practices and develop holistic strategies of management and design of green spaces that integrate different areas of knowledge and not merely aesthetic issues. In this context, this work aims to develop more adapted and resilient landscaping practices to the current and future climatic conditions of the Algarve, thus reinventing the concept of landscaping in the south of Portugal. Thus, it will be of paramount importance to develop more sustainable, resilient and tolerant projects to worsening ecological conditions, particularly limitations associated with water availability. The xeromorphic succulents are a group of plants with mechanisms of tolerance to water stress and with very specific characteristics, being succulence one of the most relevant. Studies on these mechanisms are increasingly frequent, which may prove to be very advantageous in our adaptation to future climatic challenges. In addition, their ornamental potential is enormous, since their bold forms and colours are a veritable sensory explosion, which, combined with their morphological and physiological characteristics, make them the species of choice in the reconversion or creation of xerophytic gardens.

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Open Access November 01, 2023

Individual Wave Component Signal Modeling, Parameters Extraction, and Analysis

Webert Montlouis

Universal Journal of Gastroenterology and Hepatology 2023, 1(1), 26-39. DOI: 10.31586/ujgh.2023.737

Abstract The accurate estimation of Individual Wave Components (IWC) is crucial for automated diagnosis of the human digestive system in a clinical setting. However, this process can be challenging due to signal contamination by other signal sources in the body, such as the lungs and heart, as well as environmental noise. To address this issue, various denoising techniques are commonly employed in bowel [...] Read more.

The accurate estimation of Individual Wave Components (IWC) is crucial for automated diagnosis of the human digestive system in a clinical setting. However, this process can be challenging due to signal contamination by other signal sources in the body, such as the lungs and heart, as well as environmental noise. To address this issue, various denoising techniques are commonly employed in bowel sound signal processing. While denoising is important, it can increase computational complexity, making it challenging for portable devices. Therefore, signal processing algorithms often require a trade-off between fidelity and computational complexity. This study aims to evaluate an IWC parameter extraction algorithm that was previously developed and reconstruct the IWC without denoising using synthetic and clinical data. To that end, the role of a reliable model in creating synthetic data is paramount. The rigorous testing of the algorithm is limited by the availability of quality and quantity recorded data. To overcome this challenge, a mathematical model has been proposed to generate synthetic bowel sound data that can be used to test new algorithms. The proposed algorithm’s robust performance is evaluated using both synthetic and clinically recorded data. We perform time-frequency analysis of original and reconstructed bowel sound signals in various digestive system states and characterize the performance using Monte Carlo simulation when denoising is not applied. Overall, our study presents a promising algorithm for accurate IWC estimation that can be useful for predicting anomalies in the digestive system.

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Open Access April 28, 2023

Evaluation of the Incidences of Risk Occurrence and Severity in PPP-Procured Mass Housing Projects (PPP-MHPs) in Abuja, Nigeria

Arijeloye Bamidele Temitope, Oke Ayodeji Emmanuel, Aje Isaac Olaniyi

World Journal of Civil Engineering and Architecture 2023, 2(1), 86-98. DOI: 10.31586/wjcea.2023.608

Abstract Risks in Public Private Procurement mass housing project (PPP-MHP) initiatives are emerging and this requires early risk identification and allocation to achieve the goal and sustenance of the scheme. The study, being a follow-up of a Delphi survey, elicits the opinion of respondents on the probability of occurrence and severity of identified risks in PPP-MHPs in Nigeria. The study adopts a [...] Read more.

Risks in Public Private Procurement mass housing project (PPP-MHP) initiatives are emerging and this requires early risk identification and allocation to achieve the goal and sustenance of the scheme. The study, being a follow-up of a Delphi survey, elicits the opinion of respondents on the probability of occurrence and severity of identified risks in PPP-MHPs in Nigeria. The study adopts a quantitative research design approach by administering structure questionnaire survey on identified PPP-MHPs partners in Abuja, Nigeria. Data analysis was performed using descriptive and inferential statistical tools such as Mean item score (MIS), standard deviation, and Kruskal Wallis analytical techniques with the aid of SPSS software packages. The findings show that all the listed risk factors were found to be extremely high, very high, high, or moderate in terms of occurrence while all the listed risk factors recorded a very high level of severity on the delivery of PPP-MHPs. The top ten (10) risk factors frequently associated with PPP-MHPs are non-availability of finance, high finance cost, non-involvement of the host community, poor execution of housing policies, corruption and lack of respect for law, wrong perception of housing need by low-income earners, Illegal title to land, land acquisition and site availability, level of demand for the mass housing projects and unstable value of local currency. The respondents differs significantly on 29 risk factors in terms of occurrence and 40 risk factors in term of severity. The study, therefore, recommends that risk management culture should be highly encouraged among the PPP Partners in the sector. The study intends to enumerate the rate of occurrence of some itemized risk factors and their severities on the delivery of PPP – procured mass housing projects in Nigeria and the need to bookmark these risk factors in ensuring the sustainability of the PPP mass housing scheme.

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Open Access April 27, 2023

Evaluation of the Critical risk factors in PPP - procured Mass Housing Projects in Abuja Nigeria - A fuzzy synthetic evaluation (FSE) approach

Arijeloye Bamidele Temitope, Oke Ayodeji Emmanuel, Aje Isaac Olaniyi

World Journal of Civil Engineering and Architecture 2023, 2(1), 58-85. DOI: 10.31586/wjcea.2023.605

Abstract The study accessed the critical risk factors in public-private partnership (PPP)-procured mass housing project (MHP) delivery in Nigeria. The research design adopts a quantitative approach, using well-structured questionnaires distributed to stakeholders involved in PPP-MHPs i.e. consultants, in-house professionals, contractors, and the organized private sector (OPS) registered with PPP [...] Read more.

The study accessed the critical risk factors in public-private partnership (PPP)-procured mass housing project (MHP) delivery in Nigeria. The research design adopts a quantitative approach, using well-structured questionnaires distributed to stakeholders involved in PPP-MHPs i.e. consultants, in-house professionals, contractors, and the organized private sector (OPS) registered with PPP departments in the Federal Capital Territory Development Authority (FCDA) Abuja, Nigeria. The instrument relates to the background information of respondents and the risk peculiar to PPP-MHP. Sixty-three (63) risk factors were submitted for the respondents to rank using Mean Item score (MIS) for risk occurrence and its severity, while risk significance index (RI) was used to determine the risk impact. Fuzzy Synthetic Evaluation (FSE) method was subsequently applied to determine the risk criticality groups and the overall risk level in the sector. The fuzzy set theory deals with ambiguous, subjective and imprecise judgments peculiar to decision making in construction project risk assessment. It aims to provide a synthetic evaluation of an object relative to a fuzzy decision environment with multiple criteria that requires qualitative linguistic terms. The findings show that thirty-one (31) risk factors were critical in the sector while financial and micro-economic risk group is contributing most significantly to the overall risk level in PPP-MHPs in Nigeria. The top 10 risk factors in the sector include availability of finance, high finance cost, the unstable value of the local currency, lack of creditworthiness, influential economic events (boom/recession), high bidding cost, poor financial market, financial attraction to project investors, interest rate volatility, inflation rate volatility, corruption and lack of respect for the law, non-involvement of the host community and poor execution of housing policies. The implication for practice is that having known the risk group contributing most significantly to the overall risk level in PPP-MHPs, adequate financial and budgetary allocation should be made available before embarking on such venture so as to sustain the scheme in the country. The study is one of the recent researches conducted on housing, since the procurement option is novel in the sector. The study is of immense value to PPP actors in providing necessary information required to formulate risk response methods in minimize the identified risk impact sector.

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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 January 28, 2023

A framework for the evaluation of the decision between onsite and offsite construction using life cycle analysis (LCA) concepts and system dynamics modeling

Adekunle Mofolasayo

World Journal of Civil Engineering and Architecture 2023, 2(1), 1-31. DOI: 10.31586/wjcea.2023.569

Abstract The decision to choose between onsite and offsite construction is important in the effort toward sustainable construction. Offsite construction is often promoted as an environmentally friendly approach to construction operations. However, previous studies have shown that there is a lack of clarity on the environmental trade-offs between onsite and offsite construction. Factors that can affect the [...] Read more.

The decision to choose between onsite and offsite construction is important in the effort toward sustainable construction. Offsite construction is often promoted as an environmentally friendly approach to construction operations. However, previous studies have shown that there is a lack of clarity on the environmental trade-offs between onsite and offsite construction. Factors that can affect the decision to build onsite or offsite include the availability of a local offsite manufacturing facility, the distance of the offsite factory to the final place of use, the proximity of the site to the local supply of material and labor, etc. This study provides a framework to apply the system dynamic modeling technique to evaluate how various factors can affect the environmental impact of the building construction phase (for onsite or offsite construction methods). The system dynamic model (using Vensim software) that was developed provides a platform that allows users to input variables such as the distance that is expected for transportation of labor, material, and equipment to both the onsite facility and the offsite construction location, factors associated with the use of equipment for construction, the distance needed for transportation of building panels or modules from the offsite facility to the final site, etc. Among other things, the model showed that an increase in the distance from the offsite yard to the final construction site increases the total impacts of transportation of completed modules. An increase in the number of trips for the transportation of material to the onsite construction location increases the total impact of onsite construction. In terms of the environmental impact of construction, none of the two methods of construction gives an absolute superiority over the other. The environmental performance of offsite and onsite depends on various associated factors. It is recommended that building practitioners review various factors that are peculiar to their projects to make an informed decision on the best construction methods.

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Open Access January 23, 2026

Synthesising Stage Blood Using Ghanaian Indigenous Materials: From Material Scarcity to Artistic Self-Reliance

Johnson Kwaku Edu, Sika Koomson, Solace Emefa Adzei

Journal of Art and Design 2026, 6(1), 1-14. DOI: 10.31586/jad.2026.6251

Abstract This study addresses the critical challenge of material scarcity within Ghana’s creative industries by pioneering the synthesis of professional-grade stage blood from indigenous, locally-sourced materials. In the context of Ghanaian theatre and film, practitioners face significant barriers due to the high cost and limited availability of imported special effects products, often resulting in the [...] Read more.

This study addresses the critical challenge of material scarcity within Ghana’s creative industries by pioneering the synthesis of professional-grade stage blood from indigenous, locally-sourced materials. In the context of Ghanaian theatre and film, practitioners face significant barriers due to the high cost and limited availability of imported special effects products, often resulting in the use of inadequate substitutes that compromise aesthetic realism, safety, and narrative authenticity. This paper responds by exploring the potential of cassava starch, tapioca, kenkey dough, and fufu wax. Grounded in Schumacher’s theory of Appropriate Technology, the paper reframes indigenous resources not as inferior alternatives but as technologically and contextually appropriate solutions that align with Ghana’s economic, environmental, and social realities. The study provides detailed, reproducible recipes for both flowing and clotted blood variants, validated through practical application in simulated special effects such as gunshot wounds and deep-tissue scars. These formulations meet key performance criteria: visual fidelity under theatrical and cinematic conditions, controlled viscosity, ease of application and removal, and performer safety. Beyond technical innovation, this research contributes to shifting academic and professional discourse from dependency and scarcity toward resourcefulness, sustainability, and artistic self-reliance. It offers a practical framework for reducing production costs, enhancing the quality of visual storytelling, and fostering local value chains within Ghana’s growing creative economy.

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Open Access August 22, 2025

Status Epilepticus in Sub-Saharan Africa: A Literature Review on Epidemiological Challenges, Socio-Cultural Barriers, and Public Health Impact

Marcellin Bugeme, Olivier Mukuku *, Emmanuel Kiyana Muyumba, Béatrice Koba Bora

Open Journal of Neuroscience 2025, 3(1), 23-40. DOI: 10.31586/ojn.2025.6161

Abstract This literature review delves deeply into the epidemiology, structural and cultural challenges, and management strategies of status epilepticus (SE) in sub-Saharan Africa (SSA). Incidence rates of SE vary significantly between countries, with notable disparities associated with socio-economic contexts, healthcare infrastructures, and cultural perceptions of epilepsy. The management of SE in this [...] Read more.

This literature review delves deeply into the epidemiology, structural and cultural challenges, and management strategies of status epilepticus (SE) in sub-Saharan Africa (SSA). Incidence rates of SE vary significantly between countries, with notable disparities associated with socio-economic contexts, healthcare infrastructures, and cultural perceptions of epilepsy. The management of SE in this region is often hindered by constraints in medical infrastructure, inadequate access to specialist diagnostics such as electroencephalogram, and limited availability of essential anti-epileptic drugs, which are frequently out of reach for rural populations. These challenges are further exacerbated by the social stigma and cultural beliefs surrounding epilepsy, impeding access to care and widening inequalities. Moreover, the scarcity of qualified medical personnel undermines the efficient and prompt management of this neurological emergency. The review underscores the pressing need to enhance healthcare infrastructures, boost the capabilities of healthcare professionals, and conduct community awareness initiatives to destigmatize epilepsy and lessen prejudice. Additionally, practical recommendations are put forward for enhancing local capacity, fostering equity in care access, and mitigating regional health disparities in SSA.

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Literature Review

Open Access April 30, 2025

An Alternative Renewable Energy Source: Thermal Expansion and Contraction of Materials

Abdulkobi Parsokhonov, Orziqul Nurullayev, Abdurauf Akhmedov

Online Journal of Engineering Sciences 2025, 4(1), 1-12. DOI: 10.31586/ojes.2025.6087

Abstract The processes of technical and technological development are unequivocally linked to increasing energy consumption, with a significant portion of energy being produced from fossil fuels worldwide. The reserves of natural energy sources such as petroleum, gas, coal, and turf are finite. The transition to renewable energy sources has been ongoing for a long time, but share in global energy [...] Read more.

The processes of technical and technological development are unequivocally linked to increasing energy consumption, with a significant portion of energy being produced from fossil fuels worldwide. The reserves of natural energy sources such as petroleum, gas, coal, and turf are finite. The transition to renewable energy sources has been ongoing for a long time, but share in global energy consumption remains lower than desired. The main limitations include limited availability, inability to operate continuously throughout the year, high costs, and a lack of materials and devices capable of withstanding high temperatures and pressures. The goal of our research is to create a device that generates electricity using a new type of renewable energy source based on the thermal expansion and contraction of materials. This paper presents the construction, details, and working principles of the new device. The primary focus is on utilizing materials and components that are readily available. The proposed method has own advantages, addresses some of the aforementioned limitations, and can be particularly beneficial for providing electrical energy in remote areas. Calculations indicate that the device built using this new method will be competitive with appliances that utilize other renewable energy sources in terms of features and efficiency.

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Open Access December 06, 2024

An Appraisal of Availability and Use of Protective Clothing for Workers in Ghana

Hellen Edzeani, Juliana Asantewa, Sophia Brient

Journal of Art and Design 2024, 4(1), 69-84. DOI: 10.31586/jad.2024.1188

Abstract The study aimed to examine the availability of protective clothing and its usage among workers at the University of Cape Coast in the central region of Ghana. It used the Accident-Proneness Theory and the Theory of Reasoned Action to achieve the study's objectives. The study adopted the positivist research paradigm. The study used a descriptive design with mixed methods. The study population [...] Read more.

The study aimed to examine the availability of protective clothing and its usage among workers at the University of Cape Coast in the central region of Ghana. It used the Accident-Proneness Theory and the Theory of Reasoned Action to achieve the study's objectives. The study adopted the positivist research paradigm. The study used a descriptive design with mixed methods. The study population comprised all workers and supervisors whose work demands the use of protective clothing at the University of Cape Coast. The study used multistage sampling techniques (stratified, purposive, proportional and Systematic random sampling techniques) to select one hundred and ninety-six departmental workers and five (5) supervisors in the University. The main instruments for data collection were a Semi-structured questionnaire and an unstructured interview guide. Mean and standard deviation, frequency count, and percentages were used to analyse the quantitative data. The qualitative data was analysed through the development of data categories and themes. The study concluded that “not all the protective clothing for the various departments were available. The University ensured that workers used what was in stock at the department. The protective clothing supplied to the various departments was insufficient, so their continuous use of the existing ones got them defaced, bringing about shortages. The study also revealed that workers used protective clothing most often, but not all used it because safety laws were relaxed. The study recommended that the University ensure a regular and adequate supply of PPC, insist on its usage, and enforce the use of PPC by all workers whose work demands it.

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Open Access November 07, 2024

Optimizing Pharmaceutical Supply Chain: Key Challenges and Strategic Solutions

Manas Gorani

World Journal of Clinical Medicine Research 2024, 4(1), 35-41. DOI: 10.31586/wjcmr.2024.1118

Abstract Pharmaceutical supply chains are critical to ensuring the availability of safe and effective medications, yet they face numerous challenges that can jeopardize public health. This article provides a comprehensive analysis of the key issues impacting pharmaceutical supply chains, including regulatory compliance, demand forecasting, supply chain visibility, quality assurance, and geopolitical risks. [...] Read more.

Pharmaceutical supply chains are critical to ensuring the availability of safe and effective medications, yet they face numerous challenges that can jeopardize public health. This article provides a comprehensive analysis of the key issues impacting pharmaceutical supply chains, including regulatory compliance, demand forecasting, supply chain visibility, quality assurance, and geopolitical risks. Regulatory compliance remains a significant concern due to the stringent guidelines imposed by authorities such as the FDA and EMA, which can lead to increased operational costs and time delays. Additionally, traditional demand forecasting methods often fail to accurately predict fluctuations in drug demand, resulting in stockouts or excess inventory. Limited supply chain visibility further complicates these challenges, hindering timely decision-making and operational efficiency. Quality assurance is paramount, as maintaining the integrity of pharmaceutical products throughout the supply chain is crucial to preventing costly recalls and ensuring patient safety. Moreover, the globalization of supply chains introduces vulnerabilities to geopolitical risks, trade disputes, and natural disasters. In response to these issues, this article outlines strategic recommendations for optimizing pharmaceutical supply chains. These include leveraging advanced analytics and IoT technologies to enhance demand forecasting and visibility, strengthening compliance through automated systems and training, fostering collaboration among stakeholders, implementing robust risk management frameworks, and investing in quality management systems. By adopting these strategies, pharmaceutical companies can enhance the efficiency and resilience of their supply chains, ultimately ensuring the continuous availability of essential medications for patients worldwide. This analysis serves as a critical resource for industry professionals seeking to navigate the complexities of pharmaceutical supply chains in an increasingly dynamic global environment.

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Review Article

Open Access November 01, 2024

Impacts of Drug Shortages in the Pharmaceutical Supply Chain

Sourav Adak

Universal Journal of Pharmacy and Pharmacology 2024, 3(1), 22-26. DOI: 10.31586/ujpp.2024.1136

Abstract Drug shortages represent a significant and growing challenge within the pharmaceutical supply chain, with profound implications for patient care, public health, and healthcare costs. This manuscript provides a comprehensive examination of the causes and impacts of drug shortages, highlighting the multifaceted nature of this issue. Key factors contributing to shortages include manufacturing [...] Read more.

Drug shortages represent a significant and growing challenge within the pharmaceutical supply chain, with profound implications for patient care, public health, and healthcare costs. This manuscript provides a comprehensive examination of the causes and impacts of drug shortages, highlighting the multifaceted nature of this issue. Key factors contributing to shortages include manufacturing complications, limited availability of active pharmaceutical ingredients (APIs), market dynamics that discourage the production of less profitable medications, and regulatory challenges that slow down the approval process for new manufacturing capacities. The consequences of these shortages are far-reaching. Patients often face treatment delays, which can lead to adverse health outcomes, increased hospitalization rates, and even mortality. Healthcare providers experience heightened operational costs as they seek alternative therapies and manage complications resulting from inadequate treatment. Furthermore, the frequent occurrence of drug shortages erodes public trust in both the healthcare system and the pharmaceutical industry, leading to decreased patient adherence to prescribed therapies. To mitigate the impacts of drug shortages, this manuscript proposes several strategic solutions, including enhanced communication among stakeholders, diversification of supply sources, increased regulatory flexibility, and collaborative approaches between public and private sectors. Additionally, raising awareness among healthcare providers and patients regarding the causes and potential alternatives can empower stakeholders to navigate shortages effectively. Ultimately, addressing drug shortages necessitates a proactive and coordinated effort from all participants in the pharmaceutical supply chain. By implementing these strategies, stakeholders can enhance the resilience of the supply chain, ensuring that essential medications remain accessible and that patient care is not compromised. The findings of this manuscript underscore the urgent need for ongoing vigilance and collaborative action to tackle the challenges posed by drug shortages, safeguarding public health and improving healthcare outcomes globally.

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Review Article

Open Access October 26, 2024

Exploring the Relationship between Teacher Training and Challenges in Delivering Effective Sex Education

Anaadumba Helen-Zilfah

Open Journal of Educational Research 2024, 4(6), 323-335. DOI: 10.31586/ojer.2024.1138

Abstract This study aimed to explore the relationship between teacher training and challenges in delivering effective sex education in the Sagnarigu district in the Northern region of Ghana. The Social-cultural theory underpins the study. A descriptive survey research design was adopted for the study. The population of this study comprises teachers, head teachers and a School Improvement Support Officer [...] Read more.

This study aimed to explore the relationship between teacher training and challenges in delivering effective sex education in the Sagnarigu district in the Northern region of Ghana. The Social-cultural theory underpins the study. A descriptive survey research design was adopted for the study. The population of this study comprises teachers, head teachers and a School Improvement Support Officer (SiSo) in basic schools in the Gumani/Nyanshegu circuit in the Sagnarigu district of the Northern Region. This study adopted multi-sampling methods to select respondents. Random and purposive sampling techniques were used to select the study's 10 basic schools and 83 respondents. The main tools used for the data collection were the questionnaire and interview. The data was analysed using Statistical Package for Social Scientists (SPSS) software version 23 tools. Descriptive Statistical tools such as frequencies were used to gauge the number of occurrences of the studied variables. The qualitative data was also further analysed in line with the research questions to establish patterns of similarities and variations. These were then validated with the quantitative data for any possible contradictions in the findings. The study concludes that people's socio-cultural and religious beliefs and practices affect the teaching of sex education in school. It was observed that sex education could be misconstrued as an encouragement to young people to engage in early sexual promiscuity. Finally, the study concludes that there cannot be effective sex education without the appropriate logistics such as T.L.M.s, syllabus and time allocation for the subject. The study also acknowledges that the availability of these materials must go along with appropriate capacity building for teachers to be well-positioned to teach the subject. It is recommended that Sexuality education should be included in the curricular and academic calendar of basic schools, along with the provision of adequate T.L.M.s and the proper collaboration with appropriate agencies for the effective teaching of the subject. Sex education needs to be given maximum attention, just as any of the life skills subjects, with adequate investment and motivation to both teachers and pupils to ensure a meaningful impact. There should be regular monitoring, supervision, and assessment of the training of teachers and its influence on the teaching of the subject, as well as ensuring that ethical considerations regarding cultural and religious sensitivities and individual privacy issues are upheld.

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Open Access August 09, 2024

A Hybrid Based Recommender System for Enhancing Data Availability on Crop Market

Yolanda Chibaya, Mainford Mutandavari

Open Journal of Agricultural Research 2024, 4(1), 20-28. DOI: 10.31586/ojar.2024.1011

Abstract Smallholder farmers face challenges when they lack information on their agricultural activities. To address this, we suggest a web-based system that can be used by farmers to help them in decision making considering the fact that all necessary information is provided by the system. Farmers can input crop type they want to grow and area. This data will help to recommend them the best crops that are [...] Read more.

Smallholder farmers face challenges when they lack information on their agricultural activities. To address this, we suggest a web-based system that can be used by farmers to help them in decision making considering the fact that all necessary information is provided by the system. Farmers can input crop type they want to grow and area. This data will help to recommend them the best crops that are suitable to be grown in that area and the necessary growing practices that can be done to produce high yield and have maximum profits, considering the average rainfall of that year. A persistent issue we face in Zimbabwe is the lack of access to reliable agricultural data. In the agricultural sector, one major uncertainty for farmers is the outlook of their future harvest. Once their produce is ready for sale, the presence of other potential buyers compels traders to offer prices that align closely with those in the formal market. However, without timely information, traders can take advantage of the situation by purchasing crops at unfairly low rates. Having data that tracks prices across various markets in near real-time would enable farmers to have a precise and complete understanding of their selling choices to maximize their profits.

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Open Access August 08, 2024

Challenges and Strategies: Usage of Multimedia Resources in Teaching Social Studies Concepts in the Junior High Schools of Ghana

Anthony Bordoh, Isaac Eshun, Stephen Aboagye, Amponsah Stephen Tetteh, Dickson Appiah Koranteng

Universal Journal of Social Sciences and Humanities 2024, 4(2), 48-64. DOI: 10.31586/ujssh.2024.1040

Abstract Access to and the availability of digital infrastructure remains the most significant issue influencing teachers' use of multimedia technology in teaching and learning processes. Qualitatively, the study focused on a case study research design. The study population consisted of five (5) Social Studies teachers at Presbyterian University College of Education Demonstration Junior High School in the [...] Read more.

Access to and the availability of digital infrastructure remains the most significant issue influencing teachers' use of multimedia technology in teaching and learning processes. Qualitatively, the study focused on a case study research design. The study population consisted of five (5) Social Studies teachers at Presbyterian University College of Education Demonstration Junior High School in the Akuapem North Municipality of the Eastern Region of Ghana. A purposive sampling technique was used to select all the Social Studies teachers for the study. The main instruments for data collection were an interview guide and observation protocols. The data was analysed using the interpretative method based on the themes arrived at during the data collection. The themes were related to the research question and interpreted on the number of issues raised by participants. The study indicated that more resources are needed to use multimedia resources effectively in social studies instruction. Limited access to computers and the internet, unreliable power supply, time constraints for teachers, and a lack of necessary competencies all contribute to this challenge. Although multimedia has become crucial to education, teachers often need more training to utilise these resources fully. The government must collaborate with other organisations to procure ICT resources to address these challenges rather than shouldering the sole responsibility for financing education. Establishing a school-based ICT policy framework to guide technology implementation in teaching and learning is essential.

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Review Article

Open Access May 13, 2024

A review of components of reliability 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), 6-23. DOI: 10.31586/wjeee.2024.928

Abstract The control of processes is made smooth and effective by Programmable Logic Controllers (PLCs), which are essential to industrial automation. The assessment of PLCs' reliability is crucial since more and more sectors depend on them for crucial tasks. In-depth reviews of the components necessary to evaluate PLC system reliability are presented in this study. To ensure a robust review, the review [...] Read more.

The control of processes is made smooth and effective by Programmable Logic Controllers (PLCs), which are essential to industrial automation. The assessment of PLCs' reliability is crucial since more and more sectors depend on them for crucial tasks. In-depth reviews of the components necessary to evaluate PLC system reliability are presented in this study. To ensure a robust review, the review first clarifies the basic concepts of reliability, highlighting the significance of system uptime and the ramifications of failures in industrial settings. Next, it examined the different elements that go into a PLC's overall reliability, such as availability, testability, and (maintenance and maintainability). The percentage of the reviewed papers that employed (maintenance and maintainability), testability, or availability to improve the reliability of PLC systems showed that, availability and (maintenance and maintainability) has been employed the most for enhancing system reliability, accounting for 32% each of publications analyzed, followed by testability, accounting for 28% respectively. The scatter chart that depicts the progression of reliability components from 2010 to 2023 also explained that the use of availability and (maintenance and maintainability) was increasing. This upward trend can be explained by the fact that repairable systems are heavily reliant on availability, whereas (maintenance and maintainability) tend to avoid unnecessary equipment breakdown and testability, which ensures the ease with which the functionality of any system or component can be ascertained with the required level of precision.

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Review Article

Open Access May 01, 2024

Challenges Affecting the Teaching and Learning of Social Studies in the Colleges of Education in Ghana

Eric Osei Yaw

Open Journal of Educational Research 2024, 4(2), 54-65. DOI: 10.31586/ojer.2024.920

Abstract The purpose of this study was to examine the challenges affecting the teaching and learning of Social Studies in the Colleges of Education in the Ashanti Region. Qualitatively, the study adopted a case study research design. The population of the study comprised fifteen (15) Social Studies teachers in the Ashanti region of Ghana. A purposive sampling technique was used to select the colleges and [...] Read more.

The purpose of this study was to examine the challenges affecting the teaching and learning of Social Studies in the Colleges of Education in the Ashanti Region. Qualitatively, the study adopted a case study research design. The population of the study comprised fifteen (15) Social Studies teachers in the Ashanti region of Ghana. A purposive sampling technique was used to select the colleges and Social Studies teachers. The main instrument for data collection was an unstructured open-ended interview guide. Four criteria proposed by Lincoln and Guba in 1985 used to measure the trustworthiness of data collected are credibility, transferability, dependability and confirmability. Data obtained from the study were subjected to thematic analysis using themes developed from the data collected based on the research question. The findings of this study indicate that adequate textbooks, availability of teaching and learning materials such as projectors, the ability of tutors to engage in research, and the ability to vary teaching techniques are some factors that affect the teaching and learning of Social Studies in Colleges of Education. Students can remember a greater percentage of what was taught when techniques used by teachers are in their interest. It is recommended that T-TEL and Universities to which Colleges of Education are affiliated should continue to provide seminars and sessions to tutors in areas of material, resource development and research. This will continue to ensure that tutors are competent in their field of specialization. It is also recommended that the government should conduct a nationwide programme evaluation exercise on Social Studies to identify the loopholes needed to ensure the effectiveness of the subject.

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Review Article

Open Access April 16, 2024

Revolutionizing Automotive Supply Chain: Enhancing Inventory Management with AI and Machine Learning

Vishwanadham Mandala

Universal Journal of Computer Sciences and Communications 2024, 3(1), 10-22. DOI: 10.31586/ujcsc.2024.918

Abstract Consumer behavior is evolving, demanding a wide range of products with fast shipping and reliable service. The automotive aftermarket industry, worth billions, requires efficient distribution systems to stay competitive. Manufacturers strive to balance growth with product and service excellence. Distributors and retailers face the challenge of maintaining competitive pricing while keeping [...] Read more.

Consumer behavior is evolving, demanding a wide range of products with fast shipping and reliable service. The automotive aftermarket industry, worth billions, requires efficient distribution systems to stay competitive. Manufacturers strive to balance growth with product and service excellence. Distributors and retailers face the challenge of maintaining competitive pricing while keeping inventory levels low. An adequate supply chain and accurate product data are crucial for product availability and reducing stock issues. This ultimately increases profits and customer satisfaction.

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Article

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 November 07, 2022

Estimating Ultimate Shear Strength from Ultimate Tensile Strength of Aluminum and its Alloys for Blanking or Piercing

Robert Tatara

Online Journal of Mechanical Engineering 2022, 1(1), 37-41. DOI: 10.31586/ojme.2022.501

Abstract In pressworking, large forces cut or deform a material, and specific shearing processes include blanking and piercing of metals, including aluminum. The force requirement is directly proportional to the ultimate shear strength, USS, of the sheared material. Nevertheless, shear strengths are not readily found in engineering references, especially for the multitude of aluminum grades and tempers. [...] Read more.

In pressworking, large forces cut or deform a material, and specific shearing processes include blanking and piercing of metals, including aluminum. The force requirement is directly proportional to the ultimate shear strength, USS, of the sheared material. Nevertheless, shear strengths are not readily found in engineering references, especially for the multitude of aluminum grades and tempers. Thus, USS is often estimated from some percentage of the ultimate tensile strength. However, analyses for these estimates are lacking, and it is not clear how accurately the USS is predicted. In this review of 197 aluminum alloy data, it is shown that 60% of the ultimate tensile strength provides a satisfactory estimation for USS as the predicted shear strength is, on average, within 5.5% of the actual value. USS of weaker grades, as well as for all annealed material, tends to be underestimated while the strongest grades are overestimated. The availability of reliable aluminum shear strength data makes for more efficient pressworking.

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Communication

Open Access September 09, 2022

Internet addiction: A summary towards an Integration of Current Knowledge and broad Perspectives

Stevie A. Burke

Open Journal of Psychology 2022, 2(2), 84-96. DOI: 10.31586/ojp.2022.418

Abstract The internet originated as a neutral device that was predominantly created to bring ease to the lives of people by making available all the information needed for the growth and prosperity of human beings, but the misuse of this communication medium has created a lot of challenges and the internet addiction is one of them. Internet addiction is a rapidly growing phenomenon exhibiting alarming [...] Read more.

The internet originated as a neutral device that was predominantly created to bring ease to the lives of people by making available all the information needed for the growth and prosperity of human beings, but the misuse of this communication medium has created a lot of challenges and the internet addiction is one of them. Internet addiction is a rapidly growing phenomenon exhibiting alarming prevalence rates and a widely recognized problematic condition around the world. Preliminary findings have shown that the unrestrained availability of this communication medium has unfetteredly increased the rate of various complications including psychological disturbances, neurological problems, and social issues. Moreover, it has accelerated the probability of those having an underlying psychological disorder being at serious risk of becoming addicted to the internet, therefore, it has stirred a hot topic of discussion among the mental health communities. The aim of this paper was to deliberately provide a brief overview of the theoretical considerations and ongoing research on internet addiction. A detailed review analysis was performed addressing the types of internet addiction, epidemiology, comorbidities associated with the excessive use of the internet, and different treatment options. Moreover, future areas of research were highlighted stressing the significance of reaching a consensus on characterizing primary features of internet addiction, and an outlook on the future goals of ongoing research has been demonstrated.

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Review Article

Open Access May 22, 2022

Pooled prevalence and contextual determinants of contraceptive utilization among reproductive-age women in The Gambia: Evidence from 2013 – 2020 Demographic Health Surveys

Amadou Barrow, Afape Ayobami, Erin M. Reynolds

Current Research in Public Health 2022, 2(1), 1-14. DOI: 10.31586/crph.2022.299

Abstract Background: Family planning (FP) methods have been found as an efficient approach of reducing fertility and are therefore widely supported in order to decrease population growth, particularly in poor nations. Promoting contraception availability among women (15 – 49) age has also been shown to be an efficient public health strategy for improving maternal and newborn health outcomes. This [...] Read more.

Background: Family planning (FP) methods have been found as an efficient approach of reducing fertility and are therefore widely supported in order to decrease population growth, particularly in poor nations. Promoting contraception availability among women (15 – 49) age has also been shown to be an efficient public health strategy for improving maternal and newborn health outcomes. This paper aimed at exploring the pooled prevalence of contraceptive uptake and its contextual determinants among women of childbearing age in The Gambia. Methods: The Gambia Demographic and Health Survey (GDHS) in both 2013 and 2019-20 was used for this study. Data were obtained from a pooled 22,098 women aged 15-49 (10,233 for 2013 and 11,865 for 2019-20) through a stratified two-stage cluster sampling approach. Percentages and chi-square tests were used and variables with p-value <0.05 were included into the model. A multivariable logistic regression model was used to assess the predictors of contraceptive usage at 95% confidence interval (CIs) with computed adjusted odds ratios (aORs). All the study data were analyzed using Stata version 15. Results: The weighted pooled prevalence of modern contraceptive utilization in The Gambia was 10.1%. Younger age, compared with women aged 25-29; 30-34; 35-39; 40-44; primary education (aOR=1.25, 95% CI=1.05-1.49); secondary education (aOR=1.57, 95% CI= 1.32-1.85); Higher education (aOR=1.90, 95% CI=1.34-12.69); living in urban areas (aOR=1.49, 95% CI= 1.25-1.79); parity 2-4 (aOR=1.21, 95% CI= 1.01-1.47); told about FP at health facility (aOR=2.97, 95% CI= 2.61-3.38), and no desire for many children (aOR=1.96, 95% CI= 1.62-2.37) were more like to use modern contraceptives among Gambian women. Conclusion: The programme certainly needs to consider improvements in the quality of care being offered to acceptors. Government agencies should target these programs and campaigns on regional FP demands and provide suitable culturally sensitive and regionally adaptive services to the communities' contexts. The programme should intensify its efforts in rural and urban settings to improve accessibility to and availability of FP services.

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Open Access May 09, 2022

Study for Some Body Weight and Egg Traits in Domyati and Khaki-Campbell Ducks

Amira S. El-Deghadi, Wael A. H. Ali, M. G. Gharib

Open Journal of Agricultural Research 2022, 2(1), 29-36. DOI: 10.31586/ojar.2022.260

Abstract The duck industry makes an important contribution to the availability of animal protein sources in Egypt, little known about the genetic parameters, particularly the heritability and genetic correlations of body weight and egg production in ducks. Body weight is the most essential feature for genetic improvement due to its ease of selection, high heredity, and large impact on meat production [...] Read more.

The duck industry makes an important contribution to the availability of animal protein sources in Egypt, little known about the genetic parameters, particularly the heritability and genetic correlations of body weight and egg production in ducks. Body weight is the most essential feature for genetic improvement due to its ease of selection, high heredity, and large impact on meat production costs. The target of this study was to evaluate and explain genetic parameters such as the heritability, the genetic and phenotypic correlations, and sire breeding value in Domyati (local) and Khaki-Campbell (foreign) ducks in order to improve body weight and egg traits. A total of 160 (80 Domyati and 80 Khaki-Campbell ducks utilized to measure body weight at 16 and 20 weeks g), as well as 7000 eggs (2500 Domyati and 4500 Khaki-Campbell) to measure egg traits (the egg number, egg weight, and egg mass are all measured throughout the first 90 days of laying). In Domyati and Khaki-Campbell ducks, the heritability estimated for body weight was moderate to high, ranged from 0.35 to 0.40, and 0.21 to 0.30 for egg production. The genetic correlations among body weight and egg traits were all positive and had high values, also among BW16 and BW20 were stronger (0.90); (0.99). So the genetic improvement in BW16 could be followed by an increase in BW20 weeks. It concluded that, the relatively high value of genetic heritability for body weights and egg traits in Domyati and Khaki-Campbell ducks, indicates that it is possible to genetically increase body weight and egg traits through selection and subsequently inbreeding to divide the herd into groups that are selected among themselves to keep their sons.

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Article

Open Access December 09, 2021

Rural women's socio-demographic and cultural determinants on contraceptive uptake in The Gambia: community-based cross-sectional study

Amadou Barrow

Current Research in Public Health 2021, 1(1), 23-39. DOI: 10.31586/crph.2021.178

Abstract Background: Family planning is one of the key cornerstones of safe parenthood and a reproductive rights issue. In underdeveloped nations, women experiencing unmet FP needs formed a considerable proportion of all women of reproductive age and are ongoing public health concerns in The Gambia. The study was set out to explore the influence of socio-demographic and cultural factors on [...] Read more.

Background: Family planning is one of the key cornerstones of safe parenthood and a reproductive rights issue. In underdeveloped nations, women experiencing unmet FP needs formed a considerable proportion of all women of reproductive age and are ongoing public health concerns in The Gambia. The study was set out to explore the influence of socio-demographic and cultural factors on contraceptive uptake among rural women in The Gambia. Methods: The study used a community-based cross-sectional analytical design. A multistage sampling strategy, comprising simple random and cluster sampling, was utilized to obtain a sample of 634 childbearing women (15-49 years) from rural Gambia's sampled clusters. Data collection was conducted using pre-tested structured interview questionnaires. The association was examined using chi-square/fisher's exact test with a significance level set at p<0.05. Binary logistic regression analysis was performed to examine the effect of socio-demographic and cultural determinants on uptake of contraceptives, with corresponding computed adjusted odds ratios (aOR). IBM SPSS version 25 was used for data entry and analysis. Results: The uptake of contraceptives among the study participants was 30.4%. The total demand for FP was 59.4% while the satisfaction of demand for FP was 57.6%. The significant predictors of FP uptake were the age of women (aOR=1.097, p=0.014), reason for using FP (aOR=1.139, p=0.011), use of contraceptives before (aOR=24.416, p<0.001) and reason for not discussing FP with a partner (aOR=1.787, p=0.029). Conclusion: The study showed low contraceptive uptake among women in rural communities. Thus, spousal communications on FP concerns are key intermediate steps towards eventual acceptance and sustained usage of FP services. The program should focus on improving access to and availability of FP services in rural areas. The program should prioritize addressing women's needs through consistent community-based interventions including targeted home visits.

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Article

Open Access November 05, 2021

Cerebral Palsy and Heterotaxy Syndrome: A Case Report

Abba Musa Abdullahi, Ibrahim Muhammad Abdullahi

Global Journal of Medical Case Reports 2021, 1(1), 13-18. DOI: 10.31586/gjmcr.2021.172

Abstract Background: Cerebral palsy is not only a serious neurodevelopmental disease causing significant morbidity in children, but also a traumatic experience leading to psychosocial trauma to the parents/caregivers of the affected children. It is usually caused by prenatal or early post-natal insults to the newborn brain which may be associated with some congenital syndromes like congenital heart [...] Read more.

Background: Cerebral palsy is not only a serious neurodevelopmental disease causing significant morbidity in children, but also a traumatic experience leading to psychosocial trauma to the parents/caregivers of the affected children. It is usually caused by prenatal or early post-natal insults to the newborn brain which may be associated with some congenital syndromes like congenital heart disease with transposition of the viscera but rarely a heterotaxy syndrome, a condition characterized with congenitally abnormal arrangement of the thoracic and abdominal viscera. Method: We present a case report of a 12-month-old boy with neurodevelopmental delay, recurrent episodes of non-mucoid and non-bloody diarhoea, occasional constipation, bilious vomiting, abdominal distension and fever with associated cough and difficulty in breathing. Results: We discuss an unusual presentation of cerebral palsy and heterotaxy syndrome diagnosed clinically with supporting evidence from both laboratory and radiological tests. Cerebral palsy was diagnosed from the history of birth asphyxia, delayed developmental milestone, limb spasticity and low values for all sub-scores of Bayley-III scale. Heterotaxy syndrome was diagnosed from the radiologic evidence of dextrocardia, left-sided stomach, centrally located liver and malrotation of gut with volvulus. We also provide a brief literature review of the incidence and prevalence, causes and risk factors, classification, clinical presentation and associated co-morbidities of heterotaxy syndrome. Conclusion: Diagnosis of heterotaxy syndrome in a child with background cerebral palsy is a great challenge to both physicians and radiologists. This is more so in developing countries due to poor availability of good diagnostic apparatus, therefore, a high index of suspicion is needed. A clear understanding of the clinical features, comprehensive history taking and thorough physical examination are important in making prompt diagnosis. Timely and appropriate imaging is necessary to prevent delays in diagnosis and treatment which lead to poor outcomes.

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Case Report

Open Access October 28, 2021

Development of an Improved Solid Waste Collection System using Smart Sensors

Promise Elechi, Sunny Orike, Augusta Ogonda Igbudu

World Journal of Electrical and Electronic Engineering 2021, 1(1), 51-65. DOI: 10.31586/wjeee.2021.151

Abstract Waste collection system has become a challenging task, occasioned by the overflowing garbage bins littered all over the environment, causing environmental hazard and further leading to incurable diseases which endanger life. The present-day waste collection system has proven to be inefficient, taking into consideration the advancement in the technologies on the rise in recent years as well as the [...] Read more.

Waste collection system has become a challenging task, occasioned by the overflowing garbage bins littered all over the environment, causing environmental hazard and further leading to incurable diseases which endanger life. The present-day waste collection system has proven to be inefficient, taking into consideration the advancement in the technologies on the rise in recent years as well as the continuous increase in population growth. As a result of this inefficiency observed, this work developed a model for electronic waste collection system in a telecommunication driven environment. In the system's implementation, PIC18F4620 based instrumentation, integrated with proximity sensor for external monitoring and level sensors for internal monitoring was adopted, while the controlling of the opening and closing of the cabins was implemented using a smart switching board. A remote reporting to the waste management authority so as to systematically plan route-map for garbage collection when the waste cabin is fully filled was done by deploying a 900MHz transmitter interfaced with the system’s controller. The result shows that with this model the waste cabin opens only on account of a user approaching the sensing distance of the system and the cabin is not filled. But when the cabin gets filled and a user approaches the sensing distance of the system, it directs the user to use the nearest waste cabin by displaying a message on the LCD (Liquid Crystal Display), while communicating with relevant authority for the evacuation of the cabin via SMS. It was obviously seen that the automation incorporated into the system had zero impact on the success rate of the system or system availability while introducing a latency of 5.6seconds, which is just 28.0% of the maximum allowable latency of this kind of system, while protecting the environment from environmental pollution and spread of diseases. This work highlights the potentials of (EWCS) Electronic Waste Collection System in monitoring and controlling waste disposal for healthy and clean environment.

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Article

Open Access September 23, 2021

Distributed Generation and Optimization of smart Grid Systems: Case Study of Kumba in Cameroon

Abraham Dandoussou, Pierre Kenfack, George Lekunze Toh

World Journal of Electrical and Electronic Engineering 2021, 1(1), 34-43. DOI: 10.31586/wjeee.2021.126

Abstract The traditional electric grid of the City of Kumba has been experiencing a constant failure which leads inhabitant to experience constant blackout. This constant blackout persists and stays for a long time due to the lack of communication between equipment, consumer and supplier. Whenever there is a fault, the repairing agents walk along the feeder to find the fault. This manual fault finding [...] Read more.

The traditional electric grid of the City of Kumba has been experiencing a constant failure which leads inhabitant to experience constant blackout. This constant blackout persists and stays for a long time due to the lack of communication between equipment, consumer and supplier. Whenever there is a fault, the repairing agents walk along the feeder to find the fault. This manual fault finding increases the restauration time which leads to the augmentation of the blackout period. Factors responsible for the failure of the line are complex to be controlled. It is necessary to reduce restauration time by introducing Information and Communication Technologies (ICT) and sensing system in the grid and making it to be smart. ICT in this smart grid, sensors and smart meters are meant to assure two-way communication between the supplier and the consumer. They send real time information which is computed at the control center to optimize the entire grid. Distributed generation is also introduced in the system for two purposes. To complete the lag in power demand of the grid and to take over the supply when the main feeder is faulty. Various distributed generation sources studied led to the choice of solar power plants thanks to their low production of Greenhouse Gas (GHG) and availability of their resources in the city. A model has been proposed for the distributed generation and optimization of the smart grid. The system indexes obtained without distributed generation in the grid are different from that with. The difference in these indexes proved that the grid has been optimized. However, the reliability of the grid is enhanced after the introduction of distributed generation into the system. This enhancement in reliability declares that with distributed generation into the grid, the population of Kumba has a reliable power supply, which makes them to have energy throughout.

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Article

Open Access December 27, 2021

Predictive Analytics and Deep Learning for Logistics Optimization in Supply Chain Management

Venkata Obula Reddy Puli, Zakera Yasmeen

Journal of Artificial Intelligence and Big Data 2021, 1(1), 139-150. DOI: 10.31586/jaibd.2021.1187

Abstract Managing supply chains efficiently has become a major concern for organizations. One of the important factors to optimize in supply chain management is logistics. The advent of technology and the increase in data availability allow for the enhancement of the efficiency of logistics in a supply chain. This discussion focuses on the blending of analytics with innovation in logistics to improve the [...] Read more.

Managing supply chains efficiently has become a major concern for organizations. One of the important factors to optimize in supply chain management is logistics. The advent of technology and the increase in data availability allow for the enhancement of the efficiency of logistics in a supply chain. This discussion focuses on the blending of analytics with innovation in logistics to improve the operations of a supply chain. An approach is presented on how predictive analytics can be used to improve logistics operations. In order to analyze big data in logistics effectively, an artificial intelligence computational technique, specifically deep learning, is employed. Two case studies are illustrated to demonstrate the practical employability of the proposed technique. This reveals the power and potential of using predictive analytics in logistics to project various KPI values ahead in the future based on the contemporary data from the logistics operations; sheds light on the innovative technique of employing deep learning through deep learning-based predictive analytics in logistics; suggests incorporating innovative techniques like deep learning with predictive analytics to develop an accurate forecasting technique in logistics and optimize operations and prevent disruption in the supply chain. The network of supply chains has become more complex, necessitating the need for the latest technological advancements. The sectors that have gained a fair amount of attention for the application of technology to optimize their operations are manufacturing, healthcare, aerospace, and the automotive industry. A little attention has been diverted to the logistics sector; many describe how analytics and artificial intelligence can be used in the logistics sector to achieve higher optimization. Currently, significant research has been done in optimizing logistics operations. Nevertheless, with the explosive volume of historical data being produced by the logistics operations of an organization, there is a great opportunity to learn valuable insights from the data accumulated over time for more long-term strategic planning. To develop the logistics operations in an organization, the use of historical data is essential to understand the trends in the operations. For example, regular maintenance planning and resource allocation based on trends are long-term activities that will not affect logistics operations immediately but can affect the business’s strategic planning in the long run. A predictive analysis technique employed on historical data of logistics can narrow down conclusions based on the future trends of logistics operations. Thus, the technique can be used to prevent the disruption of the supply chain.

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Review Article

Open Access November 02, 2023

Revealing Complexity: Confronting Challenges in the Pharmaceutical API Supply Chain

Manas Gorani

Universal Journal of Pharmacy and Pharmacology 2023, 2(1), 54-59. DOI: 10.31586/ujpp.2023.1193

Abstract The pharmaceutical industry relies extensively on Active Pharmaceutical Ingredients (APIs) as essential components in the production of drugs. The supply chain supporting these APIs is complex, encompassing multiple stages from raw material sourcing to distribution to pharmaceutical manufacturers worldwide. This manuscript explores the intricate challenges encountered within the pharmaceutical API [...] Read more.

The pharmaceutical industry relies extensively on Active Pharmaceutical Ingredients (APIs) as essential components in the production of drugs. The supply chain supporting these APIs is complex, encompassing multiple stages from raw material sourcing to distribution to pharmaceutical manufacturers worldwide. This manuscript explores the intricate challenges encountered within the pharmaceutical API supply chain, focusing on regulatory compliance, quality control, supply chain disruptions, and global dependencies. Regulatory compliance poses a significant hurdle, with varying standards across regions necessitating meticulous adherence to ensure market access and product safety. Quality control and assurance are paramount to maintaining consistency and purity in APIs, yet they present ongoing challenges such as batch variability and contamination risks. Supply chain disruptions, ranging from natural disasters to geopolitical tensions, highlight vulnerabilities in global sourcing strategies, underscoring the need for resilient supply chain management practices. Global dependencies on a limited number of suppliers or regions expose the industry to supply shortages and pricing pressures, exacerbated by geopolitical events and trade policies. These dependencies necessitate strategic diversification and risk mitigation efforts to ensure continuity in API availability and affordability. By addressing these challenges collaboratively, stakeholders can enhance the resilience and reliability of the pharmaceutical API supply chain, thereby ensuring uninterrupted access to essential medications and improving global healthcare outcomes.

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Review Article

Open Access December 27, 2022

Building Scalable and Secure Cloud Architectures: Multi-Region Deployments, Auto Scaling, and Traffic Management in Azure and AWS for Microservices

Manogna Dolu Surabhi

Journal of Artificial Intelligence and Big Data 2022, 2(1), 127-140. DOI: 10.31586/jaibd.2022.1207

Abstract The last few years have seen an increased adoption of cloud infrastructure, which has in turn led to a growth in large-scale distributed architectures in data centers to accommodate cloud resource elasticity and resiliency better. Selecting the right approach to build secure, scalable, and reliable cloud infrastructure within a budget is always a challenge. This text focuses on offering practical [...] Read more.

The last few years have seen an increased adoption of cloud infrastructure, which has in turn led to a growth in large-scale distributed architectures in data centers to accommodate cloud resource elasticity and resiliency better. Selecting the right approach to build secure, scalable, and reliable cloud infrastructure within a budget is always a challenge. This text focuses on offering practical solutions for designing and building a secure, scalable, and reliable cloud-based infrastructure where auto-scaling and multi-region deployments are the two key approaches to offer high availability. It covers designing secure and scalable microservices using cloud platforms. The content will provide an understanding of public cloud architecture, the design of microservices running on the cloud, and also the design patterns used in the cloud era. With real-world examples, you will learn how microservices can enable scalable distributed systems. Furthermore, you will be walked through multi-region deployments, auto-scaling, and traffic management in cloud environments, using a sample environment setup and useful tips and tricks for monitoring. Finally, you will see a mock implementation of cloud infrastructure on-premise for a private cloud or single-node cloud. By the end of this text, you will be able to build, manage, and deploy a highly scalable and reliable cloud-ready solution [1].

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Open Access December 27, 2023

Ensuring High Availability and Resiliency in Global Deployments: Leveraging Multi-Region Architectures, Auto Scaling, and Traffic Management in Azure and AWS

Manogna Dolu Surabhi

Journal of Artificial Intelligence and Big Data 2023, 3(1), 46-55. DOI: 10.31586/jaibd.2023.1208

Abstract Modern organizations leverage highly distributed, global deployments to provide high availability and resiliency for cloud-first applications. By hosting these applications across multiple geographic locations and relying on highly available services, organizations can prevent disruption to their business and reduce complexity by employing the scale of infrastructure offered by major cloud [...] Read more.

Modern organizations leverage highly distributed, global deployments to provide high availability and resiliency for cloud-first applications. By hosting these applications across multiple geographic locations and relying on highly available services, organizations can prevent disruption to their business and reduce complexity by employing the scale of infrastructure offered by major cloud providers. Global deployments in the cloud are built on well-known models such as failover, load balancing, and scalability. However, traditional methods used to recover from regional failure—while effective—can be complex. Typical multi-region recovery and high availability system architectures have latency and cost risks that should be considered when facing other limitations such as deployment models in the cloud. This document describes the different traffic management techniques that can be applied to multi-region strategies, focusing on trade-offs and costs. The introduction of new traffic management techniques being applied to the traditional global architectures now allows organizations to adopt cloud services more efficiently. Traffic management is much more straightforward in some environments, while others have started to leverage their traffic management platform via routing. In multi-region deployments, active-active and active-passive are the most common architectural models, allowing organizations to seamlessly handle failover, scalability, and global distribution based on business goals and requirements. However, traffic management for these infrastructures is critical to ensure just data distribution and efficiency, maintaining costs under control and workloads rerouted when necessary. Using the new traffic management techniques will allow organizations to evolve system architectures easily based on business requirements, taking advantage of cost benefits from multiple infrastructures. In these scenarios, traffic management becomes a crucial backbone of success to ensure that traffic is being efficiently and intelligently distributed [1].

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Review Article

Open Access December 17, 2024

Disaster Recovery and Application Security in Microservices: Exploring Kubernetes, Application Gateways, and Cloud Solutions for High Availability

Manogna Dolu Surabhi

Journal of Artificial Intelligence and Big Data 2024, 4(2), 82-95. DOI: 10.31586/jaibd.2024.1209

Abstract Unfortunately, it is not disaster recovery, high availability, or cloud technologies that are inherently difficult to understand, but rather the action of implementing them for software applications that is difficult. The unique method of implementation for a microservices architecture is explored. Regulatory compliance doesn’t stop just because an effective disaster recovery requirement is tough [...] Read more.

Unfortunately, it is not disaster recovery, high availability, or cloud technologies that are inherently difficult to understand, but rather the action of implementing them for software applications that is difficult. The unique method of implementation for a microservices architecture is explored. Regulatory compliance doesn’t stop just because an effective disaster recovery requirement is tough to satisfy for infrastructure unique to sleek microservices. The high-availability location transparency bliss offered by a cloud solution is appealing to a security engineering department. However, the headache starts when the technology presents a handful of undesirable surprises that leak RESTful microservices to the outside world. These are the challenges that post-SOA cloud-resident robustly scalable applications will need to address and overcome. The goal is to explore several popular methods of accomplishing these tough objectives so that engineers can further research the most practical solution. An innovative implementation that leverages Service Bus relays as an elegant disaster recovery solution while enforcing a strict subnet where RESTful microservices solely live will be discussed. The curiosity lies in the atypical experimentation beyond basic gateways and the facility of using such simplicity while still answering day-to-day software development infrastructure challenges for applications we build. Resilient full-service web proxy service crashes and delivery latency switches by harnessing the microservices pod health will also be discussed [1].

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Review Article

Open Access February 22, 2023

Navigating the Pharmaceutical Supply Chain: Key Strategies for Balancing Demand and Supply

Manas Gorani

Global Journal of Medical Case Reports 2023, 3(1), 1-6. DOI: 10.31586/gjmcr.2023.1210

Abstract The pharmaceutical industry is fundamental to global healthcare, providing essential medicines that improve health outcomes and quality of life. However, the demand and supply dynamics within this sector are highly complex, shaped by various factors including demographic changes, evolving disease burdens, technological advancements, regulatory challenges, and economic pressures. This manuscript [...] Read more.

The pharmaceutical industry is fundamental to global healthcare, providing essential medicines that improve health outcomes and quality of life. However, the demand and supply dynamics within this sector are highly complex, shaped by various factors including demographic changes, evolving disease burdens, technological advancements, regulatory challenges, and economic pressures. This manuscript explores the intricate relationship between pharmaceutical medicine demand and supply, focusing on key strategies that can help companies effectively navigate these challenges. The demand for pharmaceutical products is driven by several factors, such as population growth, the aging population, the rise of chronic diseases, and the emergence of new health threats. Additionally, healthcare accessibility, affordability, and policy changes significantly impact the consumption of medicines, while innovations in medical technologies and therapies create new treatment needs. On the supply side, pharmaceutical companies face challenges related to manufacturing capacity, raw material availability, distribution logistics, and compliance with ever-evolving global regulatory frameworks. To address these challenges, the manuscript discusses strategic approaches to managing both demand and supply in the pharmaceutical sector. Key strategies include advanced demand forecasting through data analytics, optimizing supply chains for efficiency and resilience, implementing just-in-time inventory models, and investing in flexible manufacturing systems. Furthermore, global collaboration and partnerships, as well as effective risk management practices, are highlighted as essential to ensuring the availability of medicines, particularly in times of crisis or global health emergencies. This manuscript also delves into the role of policy advocacy and regulatory harmonization in stabilizing the pharmaceutical market, ensuring that medicines are accessible to all populations. In conclusion, the pharmaceutical industry must continually adapt to meet the evolving challenges of demand and supply, embracing innovation and collaboration while maintaining a focus on patient access and global healthcare equity. Through strategic planning and adaptive solutions, the pharmaceutical sector can ensure the continuous availability of critical medicines worldwide, meeting both current and future health needs.

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Case Report

Open Access January 10, 2022

Composable Infrastructure: Towards Dynamic Resource Allocation in Multi-Cloud Environments

Ravi Kumar Vankayalapati, Andrew Edward, Zakera Yasmeen

Universal Journal of Computer Sciences and Communications 2022, 1(1), 1-15. DOI: 10.31586/ujcsc.2022.1222

Abstract To ensure maximum flexibility, service providers offer a variety of computing options with regard to CPU, memory capacity, and network bandwidth. At the same time, the efficient operation of current cloud applications requires an infrastructure that can adjust its configuration continuously across multiple dimensions, which are generally not statically predefined. Our research shows that these [...] Read more.

To ensure maximum flexibility, service providers offer a variety of computing options with regard to CPU, memory capacity, and network bandwidth. At the same time, the efficient operation of current cloud applications requires an infrastructure that can adjust its configuration continuously across multiple dimensions, which are generally not statically predefined. Our research shows that these requirements are hardly met with today's typical public cloud and management approaches. To provide such a highly dynamic and flexible execution environment, we propose the application-driven autonomic management of data center resources as the core vision for the development of a future cloud infrastructure. As part of this vision and the required gradual progress toward it, we present the concept of composable infrastructure and its impact on resource allocation for multi-cloud environments. We introduce relevant techniques for optimizing resource allocation strategies and indicate future research opportunities [1]. Many cloud service providers offer computing instances that can be configured with arbitrary capacity, depending on the availability of certain hardware resources. This level of configurability provides customers with the desired flexibility for executing their applications. Because of the large number of such prerequisite instances with often varying characteristics, service consumers must invest considerable effort to set up or reconfigure elaborate resource provisioning systems. Most importantly, they must differentiate the loads to be distributed between jobs that need to be executed versus placeholder jobs, i.e., jobs that trigger the automatic elasticity functionality responsible for resource allocator reconfiguration. Operations research reveals that the optimization of resource allocator reconfiguration strategies is a fundamentally difficult problem due to its NP-hardness. Despite these challenges, dynamic resource allocation in multi-clouds is becoming increasingly important since modern Internet-based service settings are dispersed across multiple providers [2].

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Review Article

Open Access December 27, 2019

Revolutionizing Patient Care and Digital Infrastructure: Integrating Cloud Computing and Advanced Data Engineering for Industry Innovation

Tulasi Naga Subhash Polineni, Venkata Krishna Azith Teja Ganti

World Journal of Clinical Medicine Research 2019, 1(1), 1-16. DOI: 10.31586/wjcmr.2019.1252

Abstract This work details how the integration of cloud computing and advanced data engineering can innovate and reshape patient care and digital infrastructure. In the healthcare sector, cloud services offer the necessary support to generate digitally-oriented services and service kits. These services can contain high levels of availability, low levels of latency, and on-demand scaling capabilities, while [...] Read more.

This work details how the integration of cloud computing and advanced data engineering can innovate and reshape patient care and digital infrastructure. In the healthcare sector, cloud services offer the necessary support to generate digitally-oriented services and service kits. These services can contain high levels of availability, low levels of latency, and on-demand scaling capabilities, while following the strictest data protection laws and regulations. On the other hand, these services can be combined with data engineering techniques to construct an ecosystem that enhances and adds an optimized data layer on any cloud environment. This ecosystem includes technologies to acquire, process, and manage healthcare data while respecting all regulatory obligations and institutions and can be part of a comprehensive digitalization strategy. The objective is to augment the healthcare services that the industry offers by leveraging healthcare data and AI technologies. Designed services, processes, and technologies can be described either as industry-agnostic services or healthcare-specific services that process and manage electronic healthcare records (EHR). Industry-agnostic services offer a set of tools and methodologies to conduct optimized data experiments. The goal is to exploit any variety, velocity, volume, and veracity of medical data. Healthcare-specific services offer a set of tools and methodologies to connect to any common EHR vendor in a privacy-preserving manner. Participating companies are thus able to hold, share, and make use of healthcare data in real-time. The proposed architecture can be transformative for the healthcare industry, opening up and facilitating experimentation on new and scalable service models. The transition to a more digital health approach would help overcome the limits encountered in traditional settings. Limitations in the availability of healthcare facilities and healthcare professionals have underpinned the increasing share of telemedicine in the care process. However, the record-keeping of the patients that undergo care outside of traditional healthcare facilities is often missing and can severely influence the continuity of treatment. Identifying new methods to implement disease prevention and early intervention processes is crucial to avoid more extensive treatment and to support those on multiple line therapies. For chronic patients, having a service available that monitors the state of health and intervenes when parameters go off the wanted range is crucial. However, the same patients are the most under the influence of the decision of care providers; a second opinion might be given remotely which the patient can access at any time on-demand. To address these different kinds of services, an ecosystem composed of a dictionary's worth data layer is outlined, able to live and operate seamlessly in any cloud environment. This future work's envisioned outcome is the rapid evolution and re-definition of the European healthcare landscape.

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Review Article

Open Access December 27, 2019

Data-Driven Innovation in Finance: Crafting Intelligent Solutions for Customer-Centric Service Delivery and Competitive Advantage

Lakshminarayana Reddy Kothapalli Sondinti, Shakir Syed

Universal Journal of Finance and Economics 2021, 1(1), 1-13. DOI: 10.31586/ujfe.2019.1257

Abstract Innovations in computing and communication technologies are reshaping finance. The seismic changes are casting uncertainty about the future of financial services. On one hand, fintech evangelists project a rosy future, asserting that the fast-moving algorithms can deliver low-cost financial services intuitively, customized to meet robust consumer expectations. On the other hand, many finance [...] Read more.

Innovations in computing and communication technologies are reshaping finance. The seismic changes are casting uncertainty about the future of financial services. On one hand, fintech evangelists project a rosy future, asserting that the fast-moving algorithms can deliver low-cost financial services intuitively, customized to meet robust consumer expectations. On the other hand, many finance veterans fret that the traditional banking model could disintermediate, bleeding banks via a ‘death by a thousand cuts’, reducing them to passive portfolio holders with no direct customer relationship, eclipsed by digital giants which use their enormous treasure troves of customer data to offer banking as an added service with nearly free cost. Amidst the upbeat technological promises and apocalyptic forebodings, there are two constant, mostly agreed-upon, truths. The first is the vital importance of data. Advances in the internet, cloud computing, and record-keeping technologies are producing an ‘exponential growth in the volume and detail of data’. Some of this big data are personal information. Smartphones are deployed in almost all developed and emerging economies, serving as little spies; tracking, recording location histories, social networks, and app usage of their unsuspecting owners; often with a great degree of precision. ‘People are walking data-factories’ in this ‘mobile digital society’. Data are the fermentation of these global exchanges, electronic commerce and communication, and financial transactions. To just take Facebook as an example, it shares 30 million people a day through updates and posts, hosting personal information on 2.23 billion users. To the alarm of the uninformed public, much of this information is available for commercial harvest. The second constant is the rise of intelligent solutions. Consumers today—be it disclosed or not—are fed tailored clothes, music, film, holiday packages—almost anything you like, notably dynamic pricing, varying in accordance with individual profiles, or personalized search results. The availability of powerful computers has enabled comparable applications that are intended to make the system more responsive to their customer profiles and desires, or to capitalize competitive business possibilities. Such changes will transform the financial industry and occupy a prominent position among the mechanisms of policy competition, reshaping the way in which financial services are bestowed and led on the demand side.

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Review Article

Open Access December 27, 2020

Optimizing Unclaimed Property Management through Cloud-Enabled AI and Integrated IT Infrastructures

Vamsee Pamisetty

Universal Journal of Finance and Economics 2021, 1(1), 1-20. DOI: 10.31586/ujfe.2020.1338

Abstract With unclaimed property assets reaching record levels, businesses have become, in some cases, overwhelmed and hamstrung by stagnant, unoptimized processes. That sentiment is compounded by ever-evolving regulatory changes, resulting in organizations struggling to hit compliance deadlines while delivering an optimal claimant experience. Often, early systems had periods of short-term success but are [...] Read more.

With unclaimed property assets reaching record levels, businesses have become, in some cases, overwhelmed and hamstrung by stagnant, unoptimized processes. That sentiment is compounded by ever-evolving regulatory changes, resulting in organizations struggling to hit compliance deadlines while delivering an optimal claimant experience. Often, early systems had periods of short-term success but are on the verge of obsolescence, resulting in stressed workflows and cumbersome integrations. Deploying an integrated IT infrastructure, supported by cloud-enabled AI, represents the quickest path to modernizing unclaimed property management. A fully integrated IT infrastructure is crucial to optimize the management of unclaimed property [1]. When lone solutions exist across an organization, companies miss out on automation opportunities generated through the interconnectedness of systems and data. AI presents organizations with the opportunity to traverse these gaps, enabling a vast library of applications to improve the perturbed workflows of unclaimed property teams. Automated data extraction, document comparison, fraudulent claim detection, and workflow completion analysis are just a few popular applications well suited for the unclaimed property space. In addition to the lagging technology currently deployed by many organizations, the unclaimed property landscape itself is evolving. Compliance issuance, asset availability, rates, the ability to collect fraudulently posted claims, and the claimant experience have all become hot-button items that are now front of mind for regulation agencies and businesses alike. Issuing duplication letters in a compliant manner, accommodating claimant inquiries regarding held assets, and managing, processing, and understanding the operational impact of rate changes are vexing problems many organizations now find themselves playing catch-up to address. The opportunity posed by cloud-enabled AI is furthered by economic, regulatory, and report cycle pressures on unclaimed property teams to do more with the same size or fewer resources. It’s now no longer simply a case of hitting the audit date deadline and checking off a box but an emerging priority for businesses at all sides of the market, from Fortune 500 to mid-market firms. In-house shared service teams are comfortable in areas of monitoring and curating business data; however, unclaimed property is an unknown territory with a learning curve, compliance gaps, and operational holes that, if ignored, stand to scale up exponentially. The combined fallout from regulatory changes and the recent pandemic have only made the situation riskier, with increased volatility in balancing time-sensitive tasks against stringent regulatory deadlines and growing claimant outreach.

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Review Article

Open Access December 29, 2020

Enhancing Government Fiscal Impact Analysis with Integrated Big Data and Cloud-Based Analytics Platforms

Vamsee Pamisetty

Journal of Artificial Intelligence and Big Data 2021, 1(1), 1-24. DOI: 10.31586/jaibd.2020.1339

Abstract While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models. To this end, in this paper authors present an overall architecture of a cloud-based environment that [...] Read more.

While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models. To this end, in this paper authors present an overall architecture of a cloud-based environment that facilitates data retrieval and analytics, as well as policy modelling, creation and optimization. The environment enables data collection from heterogeneous sources, linking and aggregation, complemented with data cleaning and interoperability techniques. An innovative approach for analytics as a service is introduced and linked with a policy development toolkit, which is an integrated web-based environment to fulfil the requirements of the public policy ecosystem stakeholders [1]. Large information databases on various public issues exist, but their usage for public policy formulation and impact analysis has been limited so far, as no cloud-based service ecosystem exists to facilitate their efficient exploitation. With the increasing availability and importance of both public big and traditional data, the need to extract, link and utilize such information efficiently has arisen. Current data-driven web technologies and models are not aligned with the needs of this domain, and therefore, potential candidates for big data, cloud-based and service-oriented public policy analysis solutions should be investigated, piloted and demonstrated [2]. This paper presents the conceptual architecture of such an ecosystem based on the capabilities of state-of-the-art cloud and web technologies, as well as the requirements of its users.

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Review Article

Open Access December 18, 2020

Intelligent Supply Chain Ecosystems: Cloud-Native Architectures and Big Data Integration in Retail and Manufacturing Operations

Srinivas Kalisetty *

Open Journal of Educational Research 2020, 1(1), 1-19. DOI: 10.31586/ojer.2020.1343

Abstract The supply chain ecosystem plays a very important role in the success or failure of organizations, markets, and economies. Supply chain ecosystems are broadly defined as supply chain organizations and their collaborators. Today's combined challenges of pandemic shutdowns, rising internet usage, and skyrocketing climate change concerns demand that the supply chain ecosystem better connect with [...] Read more.

The supply chain ecosystem plays a very important role in the success or failure of organizations, markets, and economies. Supply chain ecosystems are broadly defined as supply chain organizations and their collaborators. Today's combined challenges of pandemic shutdowns, rising internet usage, and skyrocketing climate change concerns demand that the supply chain ecosystem better connect with customers, when and how they want, to provide products and services with high levels of availability and zero defects, yet collaboratively do this to reduce transportation and production risks, often at the same time reducing operational costs and carbon footprints. Addressing these challenges, this work explores the cloud delivery capabilities of cloud-native architectures to enable the big data integrations and analytics that are needed to grow smarter supply chain ecosystems. This work describes what smart supply chain ecosystems are and how they are planning to grow their technology and integration capabilities. Discussing the industry-leading advanced and manufacturing technology producer ecosystems, it is explained how their technology collaboration and investment plans are driven by climate change and job creation goals. With these background models, the work examines the new digital reality of customer-driven experiences and economies that are demanding cloud-native and intelligent technology partnerships to deliver climate objectives, operational responsiveness, and compatibility to avoid trading economies of scale for economies of integration. The final objectives of this paper are to share key ideas about the need to balance the growing customer service direct-to-consumer business models with those for collaborative investment by market and industry. In doing this, it hopes to promote an intelligent supply chain ecosystem foundation for helping its different participating countries survive and thrive in the digital economy.

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Review Article

Open Access December 26, 2021

Scalable Data Warehouse Architecture for Population Health Management and Predictive Analytics

Bindu Madhavi Mangalampalli

World Journal of Clinical Medicine Research 2021, 1(1), 1-18. DOI: 10.31586/wjcmr.2021.1378

Abstract Scalable architecture principles for data warehousing are introduced to support population health management and predictive analytics. These principles are validated through the design of an accompanying Data Pipeline that allows the integration of non-traditional data sources, the use of real-time data for descriptive analytics dashboards, and support for the generation of supervised Machine [...] Read more.

Scalable architecture principles for data warehousing are introduced to support population health management and predictive analytics. These principles are validated through the design of an accompanying Data Pipeline that allows the integration of non-traditional data sources, the use of real-time data for descriptive analytics dashboards, and support for the generation of supervised Machine Learning models. Several analytical capabilities have been implemented to exemplify the practical application of the principles, including predictive models for Risk Stratification in health care. Optimal cost-effectiveness and performance considerations ensure the practical relevance of the architectural principles and associated Data Pipeline. In recent years, the availability of Low-Cost Data Storage services and the increasing popularity of Streaming technologies opened new possibilities for the storage and processing of Streaming data on a near-real-time basis. These technologies can help Developing Countries in tackling many relevant issues such as Urban Planning, Environmental Management, Migration Policies, etc. A multi-tier approach combining Cloud-based Storage with Data Warehousing and Data Mining technologies can offer an interesting architecture to exploit Big Data related to populations.

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Review Article

Open Access December 26, 2021

Designing Scalable Healthcare Data Pipelines for Multi-Hospital Networks

Sasi Kumar Kolla

World Journal of Clinical Medicine Research 2021, 1(1), 1-14. DOI: 10.31586/wjcmr.2021.1376

Abstract Healthcare is increasingly recognized as a data-intensive industry. Multi-hospital networks, among other organizations, face mounting operational and governance challenges because of rigid data-integration pipelines that support all data sources and destinations in the network. These pipelines have become difficult to modify, causing them to lag behind the changing needs of the clinical operation. [...] Read more.

Healthcare is increasingly recognized as a data-intensive industry. Multi-hospital networks, among other organizations, face mounting operational and governance challenges because of rigid data-integration pipelines that support all data sources and destinations in the network. These pipelines have become difficult to modify, causing them to lag behind the changing needs of the clinical operation. Scalable data-pipeline architectures better support clinical decision making, optimize hospital operations, ease data quality and compliance concerns, and contribute to improved patient outcomes. Meeting scalability goals requires breaking up monolithic data-integration pipelines into smaller decoupled components and aligning service-level agreements of pipeline components and source systems. Parallelization and adoption of distributed data-warehouse technology mitigate the burden of ingesting data into a multi-hospital network. However, latency requirements still warrant the construction of separate pipelines for data ingress from clinical devices, electronic health records, and external laboratory-information systems. Healthcare associations recommend near real-time data availability for a growing list of clinical and operational applications. Mishandling the real-time ingestion of data from clinical devices, in particular, compromises availability and performance. Scalable architectural patterns for real-time streaming Ingestion from heterogeneous data sources, transport processes, and back-end processing structures are detailed.

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Review Article

Open Access June 28, 2016

Scalable Task Scheduling in Cloud Computing Environments Using Swarm Intelligence-Based Optimization Algorithms

Srinivas Chippagiri, Savan Kumar, Sumit Kumar

Journal of Artificial Intelligence and Big Data 2021, 1(1), 1-10. DOI: 10.31586/jaibd.2016.1291

Abstract Effective task scheduling in cloud computing is crucial for optimizing system performance and resource utilization. Traditional scheduling methods often struggle to adapt to the dynamic and complex nature of cloud environments, where workloads, resource availability, and task requirements constantly change. Swarm intelligence-based optimization algorithms, such as Particle Swarm Optimization [...] Read more.

Effective task scheduling in cloud computing is crucial for optimizing system performance and resource utilization. Traditional scheduling methods often struggle to adapt to the dynamic and complex nature of cloud environments, where workloads, resource availability, and task requirements constantly change. Swarm intelligence-based optimization algorithms, such as Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Artificial Bee Colony (ABC), offer a promising solution by mimicking natural processes to explore large search spaces efficiently. These algorithms are effective in balancing multiple objectives, including minimizing execution time, reducing energy consumption, and ensuring fairness in resource allocation. They also enhance system scalability, which is vital for modern cloud infrastructures. However, challenges remain, including slow convergence speeds, complex parameter tuning, and integration with existing cloud frameworks. Addressing these issues will be essential for the practical implementation of swarm intelligence in cloud task scheduling, helping to improve resource management and overall system performance.

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Review Article

Open Access December 18, 2023

Leveraging AI, ML, and Generative Neural Models to Bridge Gaps in Genetic Therapy Access and Real-Time Resource Allocation

Chaitran Chakilam

Global Journal of Medical Case Reports 2023, 3(1), 27-43. DOI: 10.31586/gjmcr.2023.1289

Abstract This paper leverages gene and cell therapy research in diverse disorders ranging from monogenic to infectious diseases to cancer and emerging breakthroughs, where one can harness individual genes or a synthetic gene sequence designed based on a shared molecular pattern in infected cells to better fight various disorders [1]. A pivotal task is to predict the performances of candidate gene therapies [...] Read more.

This paper leverages gene and cell therapy research in diverse disorders ranging from monogenic to infectious diseases to cancer and emerging breakthroughs, where one can harness individual genes or a synthetic gene sequence designed based on a shared molecular pattern in infected cells to better fight various disorders [1]. A pivotal task is to predict the performances of candidate gene therapies to guide clinical translational research using methods such as retrospective bioinformatic analyses. Implementing them to a large-scale gene therapy database reveals that it is feasible to construct and apply well-performing interpretable, supervised learning models [2]. Preliminary evidence of machine learning approaches' statistical significance helps clinicians and biomedical researchers, market participants, and regulatory and economic experts derive relevant, practical applications, thereby enhancing the deployment of gene therapy and genomics to achieve positive, long-term growth for humanity while alleviating the ongoing worldwide economic burden precipitated by prolonged and recurring diseases. Deploying machine learning techniques to accelerate gene and cell therapy drug development and trials shall also mitigate the existing obstacle of limited patient access to emerging, transformative medical innovations such as gene therapy due to skyrocketing prices, which often herald gene therapy products as the world's most expensive medicines [3]. Moreover, in preventing patients from accessing effective, life-saving genetic medicines, there commonly exists a multidimensional access gap encompassing the availability, affordability, and quality or acceptability of these clinical treatments. The ensuing substantial gap has repeatedly been documented and mainly emanates from differential institutional and socio-political choices around resource allocation at international and domestic levels [4]. Particularly, it is also due to the stringent licensure and regulatory approval processes underpinned by insufficient evidence for novel safety and clinical efficacy profiles for genetic therapies in multiple micro-local diagnoses and subpopulations. We believe that a higher likelihood of gene therapy adoption shall result when the clinical evidence path contains adequate representation from the most diverse and relevant patient populations [5].

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