International Peer Reviewed Journals and Books
Not a member yet
2732 research outputs found
Sort by
Effects of Second Language Acquisition on Executive Functioning in Older Adults in France
Get PDFPurpose: The aim of the study was to analyze the effects of second language acquisition on executive functioning in older adults in France.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Research on second language acquisition in older adults in France indicates that learning a new language can boost cognitive abilities like problem-solving and multitasking. It enhances memory retention and cognitive flexibility, vital for maintaining mental acuity. Language learning stimulates brain regions linked to executive functions, potentially reducing cognitive decline and offering protective benefits against neurodegenerative diseases in aging populations. These findings highlight the cognitive advantages of bilingualism among older adults in France.
Unique Contribution to Theory, Practice and Policy: Bilingual advantage hypothesis, cognitive reserve theory & neuroplasticity theory may be used to anchor future studies on the effects of second language acquisition on executive functioning in older adults in France. Encourage lifelong learning programs that include SLA courses for older adults in France. Advocate for the inclusion of SLA programs in public health initiatives aimed at promoting cognitive health among older adults. Policy frameworks should support funding and infrastructure for community-based language learning initiatives
Influence of Artificial Intelligence on Credit Risk Assessment in Banking Sector
Get PDFPurpose: The aim of the study was to examine the influence of artificial intelligence on credit risk assessment in banking sector.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The study found that AI-driven models demonstrate superior performance in identifying risky borrowers and capturing complex credit risk patterns compared to traditional methods. Additionally, the integration of explainable AI (XAI) techniques has enhanced transparency and interpretability in credit risk assessment processes, facilitating better understanding among stakeholders and improving decision-making transparency.
Unique Contribution to Theory, Practice and Policy: Decision theory & technology acceptance model (TAM) may be used to anchor future studies on influence of artificial intelligence on credit risk assessment in banking sector. Continuously invest in research and development to advance the theoretical understanding of AI-driven credit risk assessment models. This includes exploring the integration of machine learning with behavioral economics theories to better predict borrower behavior and default probabilities. Encourage banks to adopt a hybrid approach that combines the strengths of AI-driven models with human expertise. Develop comprehensive regulatory guidelines and standards to govern the use of AI in credit risk assessment and ensure ethical and responsible practices. This includes establishing transparent model validation and governance frameworks to mitigate the risks of algorithmic bias, data privacy violations, and discriminatory lending practices. Regulatory authorities should also promote industry-wide collaboration and knowledge sharing to foster innovation while safeguarding consumer interests and financial stability
Interpersonal Relations and Non-Academic Achievement among University Upgrading (Grade V) Teacher Students
Get PDFPurpose: Given the challenges faced by distance and life-long education students engaging in non-academic activities, combined with the common assumption that adults are good at interpersonal relations, this study explores the relationship between interpersonal relations (IR) and non-academic achievement (NAA) in Ugandan universities.
Methodology: This was a qualitative study. Data included a population of teacher students from Makerere University and Uganda Christian University, Mukono and a sample of 75 upgrading Grade V teacher students from Makerere University and Uganda Christian University, Mukono, obtained through purposive sampling technique, The Researcher formulated (vetted by 07 Professors and pilot tested) Group interviews, an observation schedule for the students\u27 sample, and in-depth interviews for Lecturers were used to collect data.
Findings: Data was presented using tables, graphs and figures. Results showed that positive interpersonal relations were very critical in non-academic activities and thus positively influenced achievement among university upgrading (Grade V) teacher students. Data analysed using NVIVO showed that interpersonal relations were very important in terms of team spirit, group work, field activities and collegial relations. In conclusion, strengthening interpersonal relations is very important in the 21st century with research stressing collaborative approaches. The practical non-academic activities not only refresh the body but enhance positive interactions that are useful in the NAA for common purpose and goals in life.
Unique Contribution to Theory, Practice and Policy: As a contribution to policy and practice, the study suggests that teachers need to have an all-round curriculum for training interpersonal relations for better non-academic achievement. Knowledge of negative and positive perceptions of interpersonal relations is critical for learning, training, field activities and research. Ministry of Education and Sports thus, needs to be intentional in including aspects of interpersonal relations and non-academic achievement at higher educational institutions and universities. Interpersonal relations and self-determinism theories need to be made more relevant in universities
Revolutionary Movements in the 20th Century: A Comparative Analysis in USA
Get PDFPurpose: The aim of the study was to investigate revolutionary movements in the 20th century: a comparative analysis.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Revolutionary movements in the 20th century, such as the Russian Revolution, the Chinese Communist Revolution, and the Cuban Revolution, each aimed to overthrow existing regimes and establish socialist states. Led by figures like Lenin, Mao Zedong, and Fidel Castro, these movements varied in their approaches and outcomes, yet all significantly impacted global politics and ideologies.
Unique Contribution to Theory, Practice and Policy: Dependency theory, social movement theory & world-systems theory may be used to anchor future studies on revolutionary movements in the 20th century: a comparative analysis. Recognize the agency of grassroots movements and civil society organizations in driving revolutionary change, and support initiatives that empower marginalized communities to articulate their grievances and pursue social justice. Prioritize policies that address the underlying socio-economic inequalities, political repression, and cultural marginalization that often fuel revolutionary movements, focusing on poverty reduction, social welfare, and inclusive development
Analyzing the Effect of Magnetic Field Strength on the Behavior of Ferromagnetic Materials in United States
Get PDFPurpose: The aim of the study was to analyzing the effect of magnetic field strength on the behavior of ferromagnetic materials in United States.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: In the United States show that magnetic field strength affects the behavior of ferromagnetic materials by inducing structural changes, influencing lattice distortions and phase transformations. These findings deepen our understanding of magneto structural coupling, aiding material design. Additionally, research on magnetostriction behavior highlights the interplay between field strength, microstructure, and response.
Unique Contribution to Theory, Practice and Policy: Domain theory, stoner-wohlfarth model & micro magnetic theory may be used to anchor future studies on magnetic field strength on the behavior of ferromagnetic materials. Conduct systematic experimental studies to validate theoretical predictions and elucidate the practical implications of magnetic field effects on material behavior. Governments and funding agencies should allocate resources to support research infrastructure for studying magnetic materials and phenomena
Influence of Entrepreneurial Network Ecosystem on Growth of Leather Manufacturing Small and Medium Enterprises in Kenya
Get PDFPurpose: The purpose of this study is to examine how entrepreneurial network ecosystem affect growth of leather manufacturing small and medium enterprises in Kenya.
Methodology: A purposeful sample was used to select respondents. Questionnaires designed to examine the views of the entrepreneur about SME networking were distributed amongst SMEs in leather manufacturing. The research instrument was based on a five-point Likert scale. The questionnaire administered contained 2parts, Part 1: contains general information, while Part 2: contains specific questions relating to networking.
Findings: The results of the analysis showed a generally positive overview of SME networking in Kenya. The respondents agreed that networking is of great benefit to their businesses.
Unique Contribution to Theory, Practice and Policy: Relevant bodies such as Kenya association of manufacturing (KAM), ministry of livestock, Kenya association of tanners should come up with framework to ensure there relevant and coordinated network ecosystem in the leather manufacturing in Kenya
Research on Factors Affecting Employee Motivation at Commercial Banks
Get PDFPurpose: This study was conducted to explore the influence of factors that lead to employee motivation at Vietnam commercial banks.
Methodology: Using the PLS-SEM linear structural model analysis method from 245 samples of workers working at commercial banks.
Findings: Research results show that five factors all have a positive impact on the work motivation of employees in commercial joint stock banks and, in order of decreasing impact, are: Income and welfare (INC) with coefficient β = 0.453; Working conditions (CON) with coefficient β = 0.319; Training and advancement (TRA) with coefficient β = 0.290; Nature of work (NOW) with coefficient β = 0.191 and finally Relations with colleagues (REL) with coefficient β = 0.173. Therefore, commercial banking industry employees are expected to be more motivated to work when employees feel that the income and welfare they receive from the organization are considered high and this is more important than the remaining factors and employees will tend to work with higher efficiency and be more engaged to the bank when the research factors are satisfied.
Unique Contribution to Theory, Practice and Policy: The article has contributed to strengthening the theory about the relationship between factors on employee motivation. First, managers need to build a salary and bonus system suitable to the nature of work, ensuring fairness and accurately reflecting the employees\u27 abilities and work results. Second, for employees to reduce pressure on their personal lives and focus more on accumulating experience and knowledge at work, this accumulation will help reduce many risks for the bank or to gain new initiatives to reap success for itself. Third, training to update knowledge is a necessary factor to equip employees with more effective working skills and it is necessary to design appropriate training courses for each subject as well as the nature of the work of each department or division. Fourth, the nature of work and relationships with colleagues in an organization is not only expressed in solidarity, support and help for each other at work, but also in aspects of sharing thoughts, each individual\u27s feelings in life
Impact of Deforestation on Water Quality in Cameroon
Get PDFPurpose: The aim of the study was to analyze the impact of deforestation on water quality in Cameroon.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Deforestation in Cameroon significantly impacts water quality, as evidenced by increased sedimentation, higher pollutant levels, and elevated risks of waterborne diseases. Loss of forest cover reduces natural filtration capacities, leading to higher concentrations of contaminants in water sources. Alterations in hydrological patterns and changes in land use further exacerbate these issues, affecting water availability and aquatic habitats.
Unique Contribution to Theory, Practice and Policy: Hydrological cycle theory, land use/land cover change (LU/LC) theory & ecosystem services theory may be used to anchor future studies on impact of deforestation on water quality in Cameroon. Implement land-use planning measures that prioritize the conservation and sustainable management of forest ecosystems, including protected area designation, forest restoration initiatives, and sustainable forest management practices. Develop and enforce policies that incentivize forest conservation and sustainable land management practices, such as payment for ecosystem services schemes, land-use zoning regulations, and carbon offset programs
Regulation of Gene Expression and Its Role in Development and Disease: A Case of India
Get PDFPurpose: The aim of the study was to investigate the Regulation of Gene Expression and Its Role in Development and Disease: A Case of India.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The study revealed that regulation of gene expression plays a fundamental role in orchestrating the intricate processes of development and maintaining cellular homeostasis in health and disease. Through a myriad of molecular mechanisms, including epigenetic modifications, transcriptional regulation, and non-coding RNA activity, cells finely tune gene expression patterns to drive differentiation, tissue-specific functions, and response to environmental cues. Transcriptional regulatory networks govern the activation or repression of gene expression programs critical for organogenesis, tissue regeneration, and immune responses. Dysregulation of these networks, often involving aberrant transcription factor activity or disrupted signaling pathways, can lead to developmental abnormalities, cardiovascular diseases, and immune-related disorders.
Unique Contribution to Theory, Practice and Policy: Central dogma of molecular biology & gene regulatory network theory may be used to anchor future studies on regulation of gene expression and its role in development and disease. Utilize molecular profiling technologies to stratify patients based on their gene expression profiles, enabling personalized diagnosis, prognosis, and treatment selection tailored to individual molecular signatures. Identify novel therapeutic targets by targeting dysregulated gene expression pathways in disease. Implement policies to promote data sharing and collaboration across research institutions and international consortia. Develop ethical guidelines for the use of gene expression data in research and clinical settings. Ensure responsible data stewardship, patient privacy protection, and equitable access to emerging technologies to prevent misuse and address societal concerns surrounding genomic information
Leveraging Digital Technologies for Sustainable Agriculture in Enhancing Social and Economic Development in Kenya
Get PDFPurpose: This seminar paper explored the potential of digital technologies in driving sustainable agriculture and promoting social and economic development in Kenya. Drawing upon empirical research, the paper investigated the impact of digital innovations on agricultural practices and analysed the benefits and challenges associated with their adoption.
Methodology: The study utilised a mixed-methods approach, involving qualitative and quantitative data collection and analysis methods. A stratified random sampling technique was employed to ensure a representative sample of farmers from various regions in Kenya, while purposive sampling was used to select key informants including policymakers, agricultural experts, and representatives from relevant institutions and corporations. The research targeted three main groups: farmers, key informants, and participants in focus group discussions (FGDs), with the estimated farmer population in Kenya being approximately 330,000, segmented by agro-ecological zones. Descriptive statistical analysis, frequencies, percentages, and measures of central tendency, summarised the quantitative data, while inferential statistical techniques, regression analysis, were applied to explore relationships between digital technology adoption, agricultural practices, and social and economic outcomes. Thematic analysis was conducted to extract key themes, patterns, and insights from qualitative data collected through interviews and focus group discussions.
Findings: The study revealed that farmers in the age group of 36-55 years and 18-35 years exhibited the highest adoption rates, highlighting the inclination of younger and middle-aged farmers towards digital technologies. However, a gender disparity existed, with male farmers showing higher adoption rates compared to female farmers, suggesting the need for targeted interventions. Education level emerged as a significant factor influencing adoption, emphasizing the importance of digital literacy and access to information. Further, larger-scale farmers demonstrated a higher adoption rate, indicating the influence of resources and capacity in technology investment. Regional variations in adoption rates also existed, with the Highlands region exhibiting the highest adoption rate. Regression analysis confirmed the positive impact of technology adoption on agricultural practices and identified policy support and farmer training as key drivers. However, access to finance does not show a statistically significant relationship.
Unique Contribution to Theory, Practice and Policy: Based on these findings, the paper puts forward recommendations to enhance the adoption and effective utilisation of digital technologies in agriculture. These include promoting digital literacy and awareness, implementing gender-inclusive strategies, improving access to financing, fostering policy support, strengthening farmer training and extension services, encouraging public-private partnerships, supporting research and innovation, and establishing robust monitoring and evaluation systems. By incorporating these recommendations, Kenya can create an enabling environment for the adoption of digital technologies in agriculture, leading to sustainable practices, enhanced social and economic development, and improved livelihoods. This paper contributes to the ongoing discourse on harnessing Africa\u27s diversity and demographic dividends for Socio-Economic transformation for a more inclusive, resilient, and prosperous agricultural sector