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Open Access January 10, 2025

Artificial Immune Systems: A Bio-Inspired Paradigm for Computational Intelligence

Abstract Artificial Immune Systems (AIS) are bio-inspired computational frameworks that emulate the adaptive mechanisms of the human immune system, such as self/non-self discrimination, clonal selection, and immune memory. These systems have demonstrated significant potential in addressing complex challenges across optimization, anomaly detection, and adaptive system control. This paper provides a [...] Read more.
Artificial Immune Systems (AIS) are bio-inspired computational frameworks that emulate the adaptive mechanisms of the human immune system, such as self/non-self discrimination, clonal selection, and immune memory. These systems have demonstrated significant potential in addressing complex challenges across optimization, anomaly detection, and adaptive system control. This paper provides a comprehensive exploration of AIS applications in domains such as cybersecurity, resource allocation, and autonomous systems, highlighting the growing importance of hybrid AIS models. Recent advancements, including integrations with machine learning, quantum computing, and bioinformatics, are discussed as solutions to scalability, high-dimensional data processing, and efficiency challenges. Core algorithms, such as the Negative Selection Algorithm (NSA) and Clonal Selection Algorithm (CSA), are examined, along with limitations in interpretability and compatibility with emerging AI paradigms. The paper concludes by proposing future research directions, emphasizing scalable hybrid frameworks, quantum-inspired approaches, and real-time adaptive systems, underscoring AIS's transformative potential across diverse computational fields.
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Article
Open Access October 26, 2022

Asymptotic Properties of the Semigroup Generated by a Continuous Interval Map

Abstract The article's purpose is twofold. First, we wish to draw attention to the insufficiently known field of continuous-time difference equations. These equations are paradigmatic for modeling complexity and chaos. Even the simplest equation , easily leads to complex dynamics, its solutions are perfectly suited to simulate strong nonlinear phenomena such as large-to-small cascades of structures, [...] Read more.
The article's purpose is twofold. First, we wish to draw attention to the insufficiently known field of continuous-time difference equations. These equations are paradigmatic for modeling complexity and chaos. Even the simplest equation , easily leads to complex dynamics, its solutions are perfectly suited to simulate strong nonlinear phenomena such as large-to-small cascades of structures, intermixing, formation of fractals, etc. Second, in the main body of the article we present a small but very important part of the theory behind the above equation marked by . Just as the discrete-time analog of this equation induces the one-dimensional dynamical system on some interval , so the equation induces the infinite-dimensional dynamical system on the space of functions . In the latter case, not only are the long-term behaviours of solutions critically dependent on the limit behaviour of the sequence (as in the discrete case) but also on the internal structure of as . Assuming to be continuous, we consider the iterations of as the semigroup generated by on the space of continuous maps, and introduce the notion of a limit semigroup for in a wider map space in order to investigate asymptotic properties of . We construct a limit semigroup in the space of upper semicontinuous maps. This enables us to describe both of the aforementioned aspects of our interest around the iterations of.
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Article
Open Access April 06, 2022

Geobotanical field activities for learning landscape interpretation concepts and methods for university students

Abstract The objective of this work is to materialize the learning of geobotanical concepts, and a methodology for the interpretation of the landscape, which allows the student to acquire practical knowledge, to obtain sufficient autonomy that allows him to join the labor market. Regarding the methodology, 100 field samples are taken for 3 years, and the participation of 60 students. The evaluation is [...] Read more.
The objective of this work is to materialize the learning of geobotanical concepts, and a methodology for the interpretation of the landscape, which allows the student to acquire practical knowledge, to obtain sufficient autonomy that allows him to join the labor market. Regarding the methodology, 100 field samples are taken for 3 years, and the participation of 60 students. The evaluation is carried out through reports on the field study. The landscapes of various areas of southern Spain are studied. For this we rely on the methodology previously established by other researchers, through which a complete diagnosis of a territory is reached, since the series and geoseries of vegetation are revealed. Being a study of natural reality, the abstract character presented by concepts such as sigmetum, sinassociation, series, geoseries, climatophilous, edaphoxerophilous, chain; it is perfectly clarified to the student, which makes the student progress efficiently, coming to the fore the acquisition of practical knowledge compared to theoretical ones. For this reason, practical teaching acquires preponderance, since it not only provides knowledge, but also development of cognitive and psychomotor skills, which are essential in the acquisition of skills and development of the individual's personality.
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Innovation Article
Open Access January 19, 2026

Mature Cataract, A Veil Concealing, A Pachychoroid Spectrum: About Two Cases

Abstract The pachychoroid spectrum is a new entity grouping pathologies with common choroidal features. First described in 2013 by American ophthalmologist Bailey Freund and his team [1]. It is defined by a diffuse or focal increase in choroidal thickness with dilatation of choroidal vessels adjacent to Bruch's membrane, associated with retinal pigment epithelial dysfunction, loss of the choriocapillaris [...] Read more.
The pachychoroid spectrum is a new entity grouping pathologies with common choroidal features. First described in 2013 by American ophthalmologist Bailey Freund and his team [1]. It is defined by a diffuse or focal increase in choroidal thickness with dilatation of choroidal vessels adjacent to Bruch's membrane, associated with retinal pigment epithelial dysfunction, loss of the choriocapillaris and thinning of Sattler's layer [1, 2]. At present, the pachychoroid spectrum includes well-known pathologies such as central serous chorioretinitis (CSCR) and polypoidal choroidal vasculopathy (PCV), as well as pathologies of more recent description such as epitheliopathy or type 1 neovessels secondary to pachychoroid, pachydrusen, choroidal excavation and peripapillary pachychoroid. The morphological changes of the lens which is a cataract can be unilateral or bilateral and occur symmetrically or not over variable durations. A cataract is said to be mature when the opacification occupies the entire lens, it induces a complete loss of vision. It makes the visualization of the fundus reflection impossible, which explains the impossibility of visualizing hemorrhages and other lesions of the eye with the possibility of concealing a pachychoroid spectrum during the ocular examination in patients. The aim of our study is to describe the symptomatology and therapeutic approach of SPC.
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Case Report
Open Access December 30, 2025

Elimination of HIV Transmission Risks through Viral Suppression: Undetectable=Untransmittable and its Impact among People Living with HIV

Abstract The principle of Undetectable = Untransmittable (U=U) posits that people living with the human immunodeficiency virus (HIV) who are able to achieve and maintain a viral load of <200 copies/mL by regularly taking antiretroviral drugs (ARVs) are considered virally suppressed and cannot transmit the HIV virus to other individuals through sex. This groundbreaking message has emerged as a key HIV [...] Read more.
The principle of Undetectable = Untransmittable (U=U) posits that people living with the human immunodeficiency virus (HIV) who are able to achieve and maintain a viral load of <200 copies/mL by regularly taking antiretroviral drugs (ARVs) are considered virally suppressed and cannot transmit the HIV virus to other individuals through sex. This groundbreaking message has emerged as a key HIV prevention strategy for eliminating transmission risks and enhancing the quality of life of people living with HIV. This narrative review explores the clinical foundation of U=U, the level of awareness and acceptance of the message globally, and the psychosocial impact on people living with HIV. It has been discovered that this message minimizes stigma, improves mental health, promote treatment adherence and good disclosure behaviors among people living with HIV. Evidence has shown that despite the U=U revolution for HIV prevention, there are significant differences in awareness and acceptance of the message among different population groups. The challenges noted were poor communication by healthcare providers, limitations in the health system, and stigma issues. Nevertheless, the inclusion of U=U in mainstream HIV services has proven to increase awareness and enhance its adoption. The urgent need in the present review is to advocate for strategies to increase the equitable distribution of U=U to harness its full potential in public health.
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Review Article
Open Access December 22, 2025

Reimagining Mathematical Modeling for a Responsive and Integrated Future in Infectious Disease Epidemiology

Abstract Mathematical modeling plays a central role in infectious disease epidemiology, shaping outbreak response strategies and informing public health policy. The COVID-19 pandemic demonstrated the value of these models but also exposed persistent limitations related to data fragility, lack of transparency, limited stakeholder engagement, and insufficient consideration of social and political contexts. [...] Read more.
Mathematical modeling plays a central role in infectious disease epidemiology, shaping outbreak response strategies and informing public health policy. The COVID-19 pandemic demonstrated the value of these models but also exposed persistent limitations related to data fragility, lack of transparency, limited stakeholder engagement, and insufficient consideration of social and political contexts. Rather than critiquing modeling as a discipline, this perspective argues for a reorientation of infectious disease modeling toward a more responsive, equity-centered, and participatory paradigm. We propose a conceptual framework built on three interrelated principles: adaptability through real-time data integration, transparency via open-source and reproducible practices, and relevance through interdisciplinary and co-produced model design. Drawing on illustrative examples from COVID-19 and dengue control efforts, we highlight how integrating behavioral dynamics, local knowledge, and policy feedback can improve model usefulness and public trust. Reconceptualizing models as dynamic systems of inquiry rather than static forecasting tools can enhance decision-making and promote more equitable and effective responses to future public health emergencies.
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Brief Review
Open Access August 22, 2025

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

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.
Literature Review
Open Access July 12, 2025

Nodal Marginal Zone Lymphoma with IgG and IgM Secretion of Kappa Light Chain: Case Report

Abstract Nodal marginal zone lymphomas are indolent and rare non-Hodgkin lymphomas, most often diagnosed at an advanced stage. Their clinical presentations are typically insidious, which can lead to delayed diagnosis. The concomitant secretion of IgM and IgG immunoglobulins with kappa light chains constitutes an exceptional feature in this type of lymphoma, as illustrated by our case. We report the case of [...] Read more.
Nodal marginal zone lymphomas are indolent and rare non-Hodgkin lymphomas, most often diagnosed at an advanced stage. Their clinical presentations are typically insidious, which can lead to delayed diagnosis. The concomitant secretion of IgM and IgG immunoglobulins with kappa light chains constitutes an exceptional feature in this type of lymphoma, as illustrated by our case. We report the case of a 62-year-old man with a history of treated syphilis and inferior vena cava thrombosis managed with rivaroxaban, who presented with a left inguinal mass evolving over three months, accompanied by fever, night sweats, and weight loss. Clinical examination revealed non-inflammatory left inguinal lymphadenopathy without other abnormalities. Laboratory tests showed non-regenerative anemia, leukopenia, and elevated LDH levels. Protein electrophoresis revealed a monoclonal peak in the gamma region, confirmed by serum immunofixation showing two monoclonal bands of IgG kappa and IgM kappa types. Biopsy of the inguinal lymph node revealed histological and immunohistochemical features consistent with a small B-cell marginal zone lymphoma, staged as IV based on the extension workup. A chemotherapy regimen consisting of rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) was initiated, resulting in a partial response after four cycles. The coexpression of IgM and IgG kappa light chains in nodal marginal zone lymphomas, which are already rare, is an unusual finding. This particularity warrants multicenter studies to better assess its diagnostic, prognostic, and therapeutic implications.
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Case Report
Open Access March 29, 2025

How Stigma Affects Patients Seeking Help for Drug Addiction

Abstract Stigma surrounding drug addiction remains a critical barrier to effective treatment, significantly influencing healthcare access, patient engagement, and recovery outcomes. This study explores the multifaceted impact of stigma on individuals seeking help for substance use disorders (SUDs), with a focus on healthcare-related discrimination, internalized stigma, and structural barriers. Research [...] Read more.
Stigma surrounding drug addiction remains a critical barrier to effective treatment, significantly influencing healthcare access, patient engagement, and recovery outcomes. This study explores the multifaceted impact of stigma on individuals seeking help for substance use disorders (SUDs), with a focus on healthcare-related discrimination, internalized stigma, and structural barriers. Research indicates that negative perceptions among healthcare providers contribute to delayed treatment-seeking behaviors, reduced adherence to medication-assisted treatment (MAT), and increased relapse rates. Additionally, patients internalizing these societal judgments experience heightened psychological distress, social isolation, and decreased self-efficacy, further hindering their recovery process. To address these challenges, evidence-based strategies such as addiction medicine education, trauma-informed care, harm reduction approaches, and peer support models have been shown to effectively reduce stigma and improve treatment outcomes. Hospital administrators and nursing leaders play a critical role in fostering a culture of empathy, advocating for the reframing of addiction as a neuro-psycho-biological disease rather than a moral failing. Future research should explore digital mental health interventions, motivational interviewing techniques, and interdisciplinary collaboration to further dismantle stigma and enhance the effectiveness of addiction treatment programs. This study highlights the urgent need for systemic policy changes, targeted educational programs, and a shift in clinical attitudes to create a more inclusive and stigma-free healthcare environment. Through implementing these approaches, healthcare providers can ensure equitable access to treatment and improve long-term health outcomes for individuals with opioid use disorder (OUD) and other substance-related conditions.
Essay
Open Access December 06, 2024

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

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.
Article
Open Access September 27, 2024

Psychological Impact of Poverty on Children’s Mental Health and Wellbeing in Adentan Municipality, Ghana

Abstract This study examined the psychological impact of poverty on the mental health and wellbeing of children in Adentan Municipality, Ghana. The study adopted a phenomenological qualitative approach. A sample of 15 children from poor homes were selected using purposive and snowball sampling for the study. Data were collected using a semi-structured interview guide and analysed using thematic analysis. [...] Read more.
This study examined the psychological impact of poverty on the mental health and wellbeing of children in Adentan Municipality, Ghana. The study adopted a phenomenological qualitative approach. A sample of 15 children from poor homes were selected using purposive and snowball sampling for the study. Data were collected using a semi-structured interview guide and analysed using thematic analysis. The study found that the main experiences of the children raised in poor homes were that they had unmet basic needs and limited income. Also, it was found that the psychological impact of poverty on children included stigma and inferiority, distress and hopelessness. From the results, it was concluded that poverty can have a psychological impact on the mental health and wellbeing of children. it was recommended that Social Welfare liaise with community leaders to identify children from poor homes and provide support for these children in terms of their basic needs like food and clothing.
Article
Open Access June 17, 2024

Knowledge Level of Teachers on Inclusive Education in Tamale Metropolis in the Northern Region of Ghana

Abstract The study examined teachers' perception of inclusive education in the three educational circuits in Tamale Metropolis in the Northern Region of Ghana. Research paradigms underpinning the study are Positivism, Interpretivism, and Pragmatism. The study adopted a cross-sectional survey research design. The study population comprised 81 teachers from the Gumbihini Educational Circuit, 100 from the [...] Read more.
The study examined teachers' perception of inclusive education in the three educational circuits in Tamale Metropolis in the Northern Region of Ghana. Research paradigms underpinning the study are Positivism, Interpretivism, and Pragmatism. The study adopted a cross-sectional survey research design. The study population comprised 81 teachers from the Gumbihini Educational Circuit, 100 from the Hospital Educational Circuit, and 72 from the Salaga Road Educational Circuit. The study population was from a pool of two hundred and fifty-three (253) teachers. The census method was used as a sampling technique for three (3) educational circuits and two hundred and fifty-three (253) teachers. The main instrument for data collection was a questionnaire. The data were analysed with descriptive statistics to determine the frequencies, percentages, mean and standard deviation scores for the response from the questionnaire and hypothesis. On the level of knowledge teachers in Tamale Metropolis have about inclusive education, Even though the study revealed that teachers know how to meet the needs of learners with learning disabilities and use varied learning activities to engage a diverse range of learners, knowledge in meeting the needs of learners who are gifted most teachers do not know to meet the needs of learners with speech and language, or communication disorder. Again, the findings revealed that teachers need to learn about meeting the needs of learners who are seen as having behavioural difficulties. Teachers were also found to not know about meeting the needs of learners who are blind or have low vision. Furthermore, the study revealed that teachers do not know how to assess, test, or evaluate the learning of children with disabilities. In the statistical analysis, special educators were found to possess a higher level of knowledge among primary school teachers who were studied than their general/regular educators' counterparts, even though the difference was not statistically significant. On the level of knowledge teachers in Tamale Metropolis have about inclusive education, regular in-service education and refresher courses will help improve and reorient teachers' knowledge towards performing their duties in inclusive education. The study, therefore, recommends that the Tamale Metropolis Directorate of Ghana Education Service collaborate with bare school heads in assisting teachers through the implementation of professional development/training programmes to employ adaptive instructional strategies to help children with disabilities.
Article
Open Access April 29, 2024

Digital Forensic Investigation Standards in Cloud Computing

Abstract Digital forensics in cloud computing environments presents significant challenges due to the distributed nature of data storage, diverse security practices employed by service providers, and jurisdictional complexities. This study aims to develop a comprehensive framework and improved methodologies tailored for conducting digital forensic investigations in cloud settings. A pragmatic research [...] Read more.
Digital forensics in cloud computing environments presents significant challenges due to the distributed nature of data storage, diverse security practices employed by service providers, and jurisdictional complexities. This study aims to develop a comprehensive framework and improved methodologies tailored for conducting digital forensic investigations in cloud settings. A pragmatic research philosophy integrating positivist and interpretivist paradigms guides an exploratory sequential mixed methods design. Qualitative methods, including case studies, expert interviews, and document analysis were used to explore key variables and themes. Findings inform hypotheses and survey instrument development for the subsequent quantitative phase involving structured surveys with digital forensics professionals, cloud providers, and law enforcement agencies, across the globe. The multi-method approach employs purposive and stratified random sampling techniques, targeting a sample of 100-150 participants, across the globe, for qualitative components and 300-500 for quantitative surveys. Qualitative data went through thematic and content analysis, while quantitative data were analysed using descriptive and inferential statistical methods facilitated by software such as SPSS and R. An integrated mixed methods analysis synthesizes and triangulates findings, enhancing validity, reliability, and comprehensiveness. Strict ethical protocols safeguard participant confidentiality and data privacy throughout the research process. This robust methodology contributed to the development of improved frameworks, guidelines, and best practices for digital forensics investigations in cloud computing, addressing legal and jurisdictional complexities in this rapidly evolving domain.
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Article
Open Access January 30, 2024

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

Abstract Qualitatively, the study focused constructivist [...] Read more.
Qualitatively, the study focused constructivist research paradigm. A case study research design was adopted for the study. The study population comprised all six (6) Social Studies teachers, the headmaster and the School Improvement Support Officer (SISO). Purposive and convenient sampling techniques were used to select the participants for the study. The main instrument for data collection was a semi-structured interview guide and observation protocol. The data were analysed using the interpretative technique based on the themes arrived at during the data collection from the semi-structured interview. The study revealed that multimedia usage is a quality enhancer in educational settings for teaching Social Studies concepts. It also indicated that teachers perceived their incompetence when using technology as they feel less in control of their classes and are unlikely to explore new possibilities that utilise technology when planning their lessons. They learn the theoretical aspect and practice and perceive the teacher’s role in the classroom changes from an instructor to a facilitator, which changes the teaching method to student-centred (constructive methodology) which aids content absorption by the learner through learning by doing. The study also indicated that teachers perceived their incompetence when using technology as they felt less in control of their classes and were unlikely to explore new possibilities that utilised technology when planning their lessons. It is recommended that the Ministry of Education and National Teaching Council collaborate with Ghana Education Service to set up Social Studies training centres in all the district capitals equipped with competent staff to periodically organise in-service training for teachers to build their capacity on how to pedagogically incorporate multimedia resources in their instructions to improve students learning outcomes.
Article
Open Access February 19, 2024

The COVID-19 Pandemic & College Students’ Perceptions of Access to Mental Health Services

Abstract The COVID-19 pandemic has had a significant impact on individuals worldwide, affecting not only their educational futures but also their mental health. This paper aims to explore college students' perceived barriers to accessing mental health services during the pandemic. The study finds that there is a significant difference between stigma-related and non-stigma-related barriers, with non-stigma [...] Read more.
The COVID-19 pandemic has had a significant impact on individuals worldwide, affecting not only their educational futures but also their mental health. This paper aims to explore college students' perceived barriers to accessing mental health services during the pandemic. The study finds that there is a significant difference between stigma-related and non-stigma-related barriers, with non-stigma items being rated higher on average. The most commonly reported non-stigma barriers include wanting to solve the problem independently, financial constraints, and the belief that the issue will resolve itself. Stigma-related barriers include feeling embarrassed or ashamed, concern about having a mental health problem on medical records, and fear of being seen as crazy or weak. This research sheds light on the challenges students face in seeking mental health care during the pandemic and highlights the need to address these barriers.
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Article
Open Access February 18, 2024

An Appraisal of Challenges in Developing Information Literacy Skills in the Colleges of Education of Ghana

Abstract The purpose of this study was to examine the challenges faced by students of Colleges of Education (CoEs) in developing their Information Literacy skills. The study adopted the post-positivism paradigm. Descriptive survey research design used in this study Survey. The population for this study comprised all Level 200 students at Wiawso CoE, Enchi CoE, and Bia Lamplighter CoE in the Western North [...] Read more.
The purpose of this study was to examine the challenges faced by students of Colleges of Education (CoEs) in developing their Information Literacy skills. The study adopted the post-positivism paradigm. Descriptive survey research design used in this study Survey. The population for this study comprised all Level 200 students at Wiawso CoE, Enchi CoE, and Bia Lamplighter CoE in the Western North Region. Purposive, stratified, and convenience sampling techniques were used to select colleges of education and level 200 students. The three (3) colleges of education were stratified and purposively selected while 256 level 200 students were stratified and conveniently sampled. The study employed questionnaires to collect data from the sampled students. Questionnaires (open and closed-ended questions) focused on the challenges faced by the students in developing their Information Literacy (IL) skills. The quantitative data was captured, analysed, and presented in descriptive statistics such as percentages, and frequency tables, to determine the objective of the study. It is recommended that to improve digital literacy and academic pursuits, the college management should improve access to desktop computers and the Internet in the library and computer centre. It is also recommended that Management and librarians of the Colleges of Education ensure that students have access to these devices at the library and can use them to develop their IL skills and help them manage their references more effectively.
Article
Open Access January 24, 2024

Influence of social media on the stock market: Part 1. A brief analysis

Abstract The world of the stock market is an intricately complex financial ecosystem that demands years of dedicated study to comprehend fully. It relies on risk mitigation practices and fundamental theoretical techniques to engage in speculation regarding stock and cryptocurrency fluctuations. However, this realm is progressively becoming more inclusive, with accessibility expanding beyond traditional [...] Read more.
The world of the stock market is an intricately complex financial ecosystem that demands years of dedicated study to comprehend fully. It relies on risk mitigation practices and fundamental theoretical techniques to engage in speculation regarding stock and cryptocurrency fluctuations. However, this realm is progressively becoming more inclusive, with accessibility expanding beyond traditional educational barriers. Technological advancements, coupled with the ease of entry into this domain and the information-disseminating power of social networks, contribute to a rising number of individuals participating in this financial movement. What makes this evolution disruptive is that the same tools facilitating accessibility also exert influence on the way market trends unfold. This paper delves into the escalating impact of social media within the financial sphere, emphasizing the heightened accessibility to information and market involvement facilitated by platforms like Twitter and Reddit. It sheds light on how social media plays a pivotal role in market manipulation, as evidenced by phenomena such as the r/wallstreetbets subreddit, where meme-based strategies were employed to inflate the prices of stocks like GameStop. The study explores the utilization of social media by influential figures, exemplified by Elon Musk, who leverage their platforms to sway market movements. Additionally, this paper addresses instances of misinformation, such as the confusion surrounding Virgin Galactic's shares following a SpaceX failure and the introduction of "AGUA" in the Mexican stock market, leading to widespread misunderstandings. The paper extends its examination to the effects of social media on cryptocurrencies, highlighting how comments from public figures can significantly impact the prices of Bitcoin and Dogecoin. Overall, it underscores the imperative need for adaptation to these changes in the digital financial paradigm.
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Review Article
Open Access August 23, 2023

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

Abstract The emphasis on adapting learner-centric education and inclusive pedagogies to promote learning effectiveness is part of the paradigm shift in teaching. By maximizing variability, differentiated education methodologies ensure individualized instruction and equal academic success for all students. Based on this justification, this study sought to investigate Ghanaian pre-tertiary teachers' adaption [...] Read more.
The emphasis on adapting learner-centric education and inclusive pedagogies to promote learning effectiveness is part of the paradigm shift in teaching. By maximizing variability, differentiated education methodologies ensure individualized instruction and equal academic success for all students. Based on this justification, this study sought to investigate Ghanaian pre-tertiary teachers' adaption of differentiated instruction strategies during the teaching and learning processes. Pre-tertiary teachers within the Kwahu Ridge of the Eastern Region of Ghana were sampled to respond to the close-ended questionnaire. A multi-pronged approach was employed in the data analysis. Respondents possessed knowledge of the differentiated instruction strategies, however, there were some disparities between first and second-cycle teachers. Significant factors influenced the range of diversity in the classroom and knowledge and experience, with the latter showing an unexpected negative influence, possibly due to experienced teachers' preference for traditional methods of teaching. Notwithstanding, a perfect alignment of instructional techniques, activities and assessment practices to accommodate the heterogeneity of students stimulate active participation, interest and readiness to learn. It is recommended that educational stakeholders should recognize the dynamic nature of the learning environment and better provide pre-tertiary teachers with the tools and support needed to employ differentiated instruction techniques successfully to ensure inclusive, individualized and intensive instruction in the classroom.
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Article
Open Access February 26, 2023

Teachers Supervisory Practices in the Kindergarten Schools in Ghana: A Case of Komenda Edina Eguafo Abirem Municipality

Abstract The supervisory role of kindergarten teachers is primarily concerned with supervising and managing the efforts of their learning environment to create safe, positive learning environments for all learners. The purpose of this study was to assess teachers’ supervisory practices of learners in Kindergarten schools in Komenda Edina Eguafo Abirem municipality. (K.E.E.A) Municipality in the Central [...] Read more.
The supervisory role of kindergarten teachers is primarily concerned with supervising and managing the efforts of their learning environment to create safe, positive learning environments for all learners. The purpose of this study was to assess teachers’ supervisory practices of learners in Kindergarten schools in Komenda Edina Eguafo Abirem municipality. (K.E.E.A) Municipality in the Central Region of Ghana. The study employed the qualitative research approach using the interpretivism paradigm. The instrumental case study design was adopted for this study. Population of the study comprised public kindergarten schools in KEEA Municipality. A multi-stage purposeful random sampling technique was used to select sixteen (16) respondents for the study. The semi-structured interview and observation checklist were the main instruments employed in the data collection for this study. The qualitative data was analysed by the use of 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 respondents. These were based on question on the semi-structured interview. The study indicated that, kindergarten teachers do not supervise their learners during out-door activities or at playground, thinking it is the available time to relax after learners are out to play. The study also revealed that, kindergarten teachers do not pay close attention to learners and their physical environment to detect danger and threats. Also, in relation to proximity in supervision, the study found that, kindergarten teachers do not maintain physical closeness supervision of their learners to promptly salvage them from occurring danger during supervision. It is recommended that, the Ministry of Education (MoE), Ghana Education Service (GES), and other Agencies in Education (AiE) should strategically and periodically organize workshop trainings and seminars on teacher supervision and safety for kindergarten teachers. It is also recommended that, Tertiary institutions like the teaching universities and colleges of education should mount courses specifically for Teachers Supervision and School Safety for pre-service teachers and school administrators.
Article
Open Access December 28, 2022

It’s time for reimagining the future of food security in sub–Saharan Africa: Gender-Smallholder Agriculture-Climate Change nexus

Abstract There is an ongoing debate regarding how to feed Sub-Saharan Africa's fast rising population in the long run, as well as the implications for food security. To maintain food security, various strategies have been recommended, including a focus on the significance of diversifying and improving people's diets. Proposals have been tabled elsewhere with a primary focus on enhancing agricultural inputs [...] Read more.
There is an ongoing debate regarding how to feed Sub-Saharan Africa's fast rising population in the long run, as well as the implications for food security. To maintain food security, various strategies have been recommended, including a focus on the significance of diversifying and improving people's diets. Proposals have been tabled elsewhere with a primary focus on enhancing agricultural inputs and technology adoption in order to increase agricultural production and productivity, hence strengthening food security. The current opinion piece attempts to contribute to this debate by examining smallholder agriculture and its role to African food security. This discussion proposes a future paradigm shift toward a gendered climate-smart smallholder agriculture and food production and security conceptual framework based on the promotion and development of smallholder agriculture and food production and security. Therefore, it's predicated that the micro-livestock-centered approach can remodel smallholder agrarian households and communities toward a gender-inclusive global climate change adaptive smallholder agriculture to strengthen production, supply, and food security in Sub-Saharan Africa. For Africa, today’s predicament is to ensure food security for the anticipated rapid population expansion, while on the other hand handling an overall net adverse effect of worldwide global climate change, and increased socio-economic ills associated with gender inequality in smallholder agriculture and ensuring long-term agriculture sustainable development. The failure to address gender inequality in smallholder agriculture and food production and pontificate of global climate change effect has thrown Sub-Saharan Africa into a state of perpetual food scarcity and insecurity because of low agricultural productivity and food supply, and by force of circumstances exposing the agricultural communities and its people to extreme poverty and nutrition and food insecurity. Therefore, it's predicated that the micro-livestock-centered approach can remodel smallholder agrarian households and communities toward a gender-inclusive global climate change adaptive smallholder agriculture to strengthen production, supply, and food security in Sub-Saharan Africa. For this purpose, this discussion proposes a future paradigm shift towards a gendered climate-smart smallholder agriculture and food production and security conceptual framework hinged on the promotion and development of the micro-livestock and/or unconventional animal species sub-sector to strengthen food security on the continent. Overall, the discussion emphasizes the importance of taking immediate action to alleviate the negative effects of climate change and address gender inequality through promotion of micro livestock to assist in the development of long-term adaptation measures to maintain smallholder agricultural productivity.
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Open Access March 25, 2022

Floristic Composition and Structure in the Undergrowth of Agroforests in Neems in the Far North Region (Cameroon)

Abstract This study took place in the Far North region of Cameroon. The general objective was to assess the floristic diversity of the undergrowth of Agrosystems in Azadirachta indica. The data were collected in 100 m long by 20 m wide transects surveyed in plantations of different ages. In total, 5 transects were carried out, ie a total area of 1 ha per site. The sampling bands were established using the compass, decameter, GPS and wires. The experimental set-up used was a 5-repetition split plot. A total of 7689 individuals divided into 9 families, 13 genera and 16 species have been identified. Guiera senegalensis and Piliostigma thonningii are the most common in terms of relative abundance. The analysis of the Family Importance Index (VIF) shows overall that the Combretaceae, and Mimosaceae are the most important in ecological terms. While those of the species show that Guiera senegalensis, Combretum micranthum and Acacia nilotica [...] Read more.
This study took place in the Far North region of Cameroon. The general objective was to assess the floristic diversity of the undergrowth of Agrosystems in Azadirachta indica. The data were collected in 100 m long by 20 m wide transects surveyed in plantations of different ages. In total, 5 transects were carried out, ie a total area of 1 ha per site. The sampling bands were established using the compass, decameter, GPS and wires. The experimental set-up used was a 5-repetition split plot. A total of 7689 individuals divided into 9 families, 13 genera and 16 species have been identified. Guiera senegalensis and Piliostigma thonningii are the most common in terms of relative abundance. The analysis of the Family Importance Index (VIF) shows overall that the Combretaceae, and Mimosaceae are the most important in ecological terms. While those of the species show that Guiera senegalensis, Combretum micranthum and Acacia nilotica finally for the genera, it is Acacia, Guiera and Combretum which contains the most important ecological indices. The overall density of species within the plots varies between 129 and 105 ind / ha. The basal area varies from 2.02 to 3.88 m² / ha. The Importance Value Index (IVI) is of the order of 300 in the different plots. The floristic diversity of the undergrowth of Agrosystems (average ISH> 2) shows homogeneity and an even distribution between the different plots. Plots with similarity indices of less than 50% do not meet floristic affinity while similarity indices are high in plots with floristic affinities greater than or equal to 50%. The diameter structure showed a predominance of young individuals. This information drawn from the conclusion of the present study shows that they constitute an important argumentation of the advantages so that the services of agricultural development should be interested in the conservation and valuation of such an agroforestry system for the protection of the environment against the climate change mitigation and sustainable development of local communities.
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Open Access September 25, 2021

Root Distribution of Four Tree Species Planted in Living Hedges according to Two Types of Soil and Three Agroforestry Technologies in the Sudano-Sahelian Zone of Cameroon

Abstract In the agroforestry systems of sub-Saharan Africa, the vertical and horizontal distribution of tree root biomass according to the soil profile is still poorly documented. The objective of this study is to verify the root distribution of four species of trees established in living hedges, namely, Commiphora kerstingii,Erythrina sigmoidea,Ficus thonningii and Jatropha curcas according to two types of soil (light soil and heavy soil) and three agroforestry technologies (fallows, wooded parks and plantations). The hedges were mostly monospecific in order to facilitate the identification of the roots. The experimental set-up is an entirely random factorial design with two factors. The evaluation of the distribution of tree roots was carried out using the profile method. To determine the different textural classes, a particle size analysis was undertaken in the laboratory. The results obtained show that the number of roots decreases rapidly after 30 cm of depth. The highest root densities are observed in the first 30 cm. Soil type has a slight effect (p <0.05) on rooting density in the last 30 cm of depth for all root classes, higher densities were obtained in light soil compared to heavy soil. Commiphora kerstingii [...] Read more.
In the agroforestry systems of sub-Saharan Africa, the vertical and horizontal distribution of tree root biomass according to the soil profile is still poorly documented. The objective of this study is to verify the root distribution of four species of trees established in living hedges, namely, Commiphora kerstingii,Erythrina sigmoidea,Ficus thonningii and Jatropha curcas according to two types of soil (light soil and heavy soil) and three agroforestry technologies (fallows, wooded parks and plantations). The hedges were mostly monospecific in order to facilitate the identification of the roots. The experimental set-up is an entirely random factorial design with two factors. The evaluation of the distribution of tree roots was carried out using the profile method. To determine the different textural classes, a particle size analysis was undertaken in the laboratory. The results obtained show that the number of roots decreases rapidly after 30 cm of depth. The highest root densities are observed in the first 30 cm. Soil type has a slight effect (p <0.05) on rooting density in the last 30 cm of depth for all root classes, higher densities were obtained in light soil compared to heavy soil. Commiphora kerstingiistands out significantly by obtaining a higher number of roots than the other species for all classes. Among the technologies, the plantations showed the lowest root density at 0-5 cm and the highest at 55-60 cm. The root density was higher in the fallows. The results show that the root system is mainly concentrated near the stump.
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Open Access September 23, 2021

Green Economy: A Necessary Decision to be Taken

Abstract The concept of the green economy is one of the global strategies to face contemporary societies' economic and environmental crises. Methodologically, the conceptualization, objectives, implementation, and criticism of various sectors of society to this new economic paradigm are addressed. It was found that authors and civil organizations have great expectations in the face of the challenges and [...] Read more.
The concept of the green economy is one of the global strategies to face contemporary societies' economic and environmental crises. Methodologically, the conceptualization, objectives, implementation, and criticism of various sectors of society to this new economic paradigm are addressed. It was found that authors and civil organizations have great expectations in the face of the challenges and challenges of this global strategy that has within its objectives sustainability, the eradication of poverty, and the inclusion of vulnerable social sectors. It is concluded that the green economy can contribute to maintaining a healthy environment and the proper use of ecosystem services, both for the present generation and for future generations.
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Open Access December 27, 2021

Sustainability in Construction: Exploring the Development of Eco-Friendly Equipment

Abstract The equipment used in the construction industry is usually associated with a high impact on the environment. Although sustainable design has shown to be a main player among the initiatives focused on reducing environmental impact, it has been driven by the workers and processes, leaving the equipment endeavors in more restrictive and later stages. The equipment industry has been a constant target [...] Read more.
The equipment used in the construction industry is usually associated with a high impact on the environment. Although sustainable design has shown to be a main player among the initiatives focused on reducing environmental impact, it has been driven by the workers and processes, leaving the equipment endeavors in more restrictive and later stages. The equipment industry has been a constant target of environmental standards and economic pressure, but the increasing technological development allows it to respond to sustainability and safety expectations while enhancing its performance. However, there are still several limitations that lead this sector to be one of the last to reach upgrading levels in terms of development. A study identified some gaps in the equipment design that require a greater effort to effectively support the workers and companies towards sustainable construction. This chapter is based on a study aiming to understand the consolidated knowledge of technologically sustainable equipment design and to identify the challenges left for its full development. The findings support the development of innovative eco-friendly equipment, taking into consideration sustainable materials and product guidelines, as well as green economy initiatives. It also supports complex system approaches and safety by design specificities to establish a corporate knowledge of sustainable equipment and align it with the new regulations of the construction industry. The chapter introduces the context of construction equipment in terms of new challenges when faced with the need to provide construction work with a greater capacity for safety, from an environmental and energy efficiency perspective, and within the paradigm of sustainability. Then, it presents the concept of sustainable equipment considering its principles, followed by a characterization of the agents involved in its life cycle.
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Open Access November 16, 2023

Zero Carbon Manufacturing in the Automotive Industry: Integrating Predictive Analytics to Achieve Sustainable Production

Abstract This charge-ahead paper suggests that transitioning the automotive industry towards a zero-carbon ecosystem from material to end-of-life can be accomplished through disruptive zero-carbon manufacturing in the broad area of all-electric vehicle production technology. To accomplish zero carbon emission automotive manufacturing in the vehicle assembly domain, future paradigms must converge on the [...] Read more.
This charge-ahead paper suggests that transitioning the automotive industry towards a zero-carbon ecosystem from material to end-of-life can be accomplished through disruptive zero-carbon manufacturing in the broad area of all-electric vehicle production technology. To accomplish zero carbon emission automotive manufacturing in the vehicle assembly domain, future paradigms must converge on the decoupling of carbon dioxide emissions from automobile manufacturing and use the design, processing, and manufacturing conditions. The envisioned zero carbon emission vehicle manufacturing domain consists of two complementary components: (a) making more efficient use of energy and (b) reducing carbon in energy use. This paper presents the status of key scientific and technological advancements to bring the manufacturing model of today to a zero-carbon ecosystem for the entire automotive industry of tomorrow. This paper suggests the groundbreaking application of dynamic and distributed predictive scheduling algorithms and open sensing and visualization technology to meet the zero carbon emission vehicle manufacturing goals. Power-aware high-performance computing clusters have recently become a viable solution for sustainable production. Advances in scalable and self-adaptive monitoring, predictive analytics, timeline-based machine learning, and digital replica of cyber-physical systems are also seen co-evolving in the zero carbon manufacturing future. These methods are inspired by initiatives to decouple gross domestic product growth and energy-related carbon dioxide emissions. Stakeholders could co-design and implement shared roadmaps to transition the automotive manufacturing sector with relevant societal and environmental benefits. The automated mobility sector offers a program, an industry-leading example of transforming an automotive production facility to carbon neutrality status. The conclusions from this paper challenge automotive manufacturers to engage in industry offsetting and carbon tax programs to drive continuous improvement and circular vehicle flows via a multi-directional zero-carbon smart grid.
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Open Access December 27, 2021

Advancing Healthcare Innovation in 2021: Integrating AI, Digital Health Technologies, and Precision Medicine for Improved Patient Outcomes

Abstract Advances of wearables, sensors, smart devices, and electronic health records have generated patient-oriented longitudinal data sources that are analyzed with advanced analytical tools to generate enormous opportunities to understand patient health conditions and needs, transforming healthcare significantly from conventional paradigms to more patient-specific and preventive approaches. Artificial [...] Read more.
Advances of wearables, sensors, smart devices, and electronic health records have generated patient-oriented longitudinal data sources that are analyzed with advanced analytical tools to generate enormous opportunities to understand patient health conditions and needs, transforming healthcare significantly from conventional paradigms to more patient-specific and preventive approaches. Artificial intelligence (AI) with a machine learning methodology is prominently considered as it is uniquely suitable to derive predictions and recommendations from complex patient datasets. Recent studies have shown that precise data aggregation methods exhibit an important role in the precision and reliability of clinical outcome distribution models. There is an essential need to develop an effective and powerful multifunctional machine learning platform to enable healthcare professionals to comprehend challenging biomedical multifactorial datasets to understand patient-specific scenarios and to make better clinical decisions, potentially leading to the optimist patient outcomes. There is a substantial drive to develop the networking and interoperability of clinical systems, the laboratory, and public health. These steps are delivered in concert with efforts at enabling usefully analytic tools and technologies for making sense of the eruption of overall patient’s information from various sources. However, the full efficiency of this technology can only be eliminated when ethical, legal, and social challenges related to reducing the privacy of healthcare information are successfully absorbed. Public and media are to be informed about the capabilities and limitations of the technologies and the paramount to be balanced is juvenile public healthcare data privacy debate. While this is ongoing, the measures have been progressed from patient data protection abuses for progress to realize the full potential of AI technology for hosting the health system, with benefits for all stakeholders. Any protection program should be based on fairness, transparency, and a full commitment to data privacy. On-going innovative systems that use AI to manage clinical data and analyzes are proposed. These tools can be used by healthcare providers, especially in defining specific scenarios related to biomedical data management and analysis. These platforms ensure that the significant and potentially predictive parameters associated with the diagnosis, treatment, and progression of the disease have been recognized. With the systematic use of these solutions, this work can contribute to the realization of noticeable improvements in the provision of real-time, personalized, and efficient medicine at a reduced cost [1].
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Open Access December 17, 2024

An Analysis of Performance and Comparison of Models for Cardiovascular Disease Prediction via Machine Learning Models in Healthcare

Abstract Over the past few decades, cardiovascular disease and related complications have surpassed all others as the important causes of death on a universal scale. At the moment, they are the important cause of mortality universal, including in India. It is important to know how to find cardiovascular problems early so that patients get better care and prices go down. This project utilizes the UCI Heart [...] Read more.
Over the past few decades, cardiovascular disease and related complications have surpassed all others as the important causes of death on a universal scale. At the moment, they are the important cause of mortality universal, including in India. It is important to know how to find cardiovascular problems early so that patients get better care and prices go down. This project utilizes the UCI Heart Disease Dataset to develop ML and DL models capable of detecting cardiac diseases. Heart illness was categorized using Convolutional Neural Network (CNN) models, which are able to detect intricate patterns in supplied data. A confusion matrix rating, an F1-score, a ROC curve, accuracy, precision, and recall were some of the measures used to grade the model. It did much better than the Neural Network, Deep Neural Network (DNN), and Gradient Boosted Trees (GBT) models, with 91.71% accuracy, 88.88% precision, 82.75% memory, and 85.70% F1-score. Comparative study showed that CNN was the most accurate model. Other models had different balances between accuracy and recall. The experiment results show that the optional CNN model is a decent way to identify cardiovascular disease. This means that it could be used in healthcare systems to find diseases earlier and treat patients better.
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Open Access December 09, 2021

Containerization and Microservices in Payment Systems: A Study of Kubernetes and Docker in Financial Applications

Abstract The banking sector has shown a strong interest in scaling out and utilizing the microservices architectural pattern within their payments domain, not only to manage increased transaction volumes, but also for compliance and risk-related control. Financial organizations are adopting containerization technologies like Kubernetes and Docker to align with the microservices paradigm. Containerization [...] Read more.
The banking sector has shown a strong interest in scaling out and utilizing the microservices architectural pattern within their payments domain, not only to manage increased transaction volumes, but also for compliance and risk-related control. Financial organizations are adopting containerization technologies like Kubernetes and Docker to align with the microservices paradigm. Containerization provides the foundation for automation and operational excellence of microservice-based applications by enabling continuous deployment and automated build-test-release cycles. However, deploying a Kubernetes cluster and the services it hosts in production is not sufficient to guarantee a secure and compliant operating environment. Kubernetes itself should be secured to protect workloads, and risks associated with the services being deployed must be managed continuously.
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