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Empowering African Researchers: Building Data and Coding Skills with The Carpentries
Full text linkThis webinar session focused on helping African researchers start their data and coding skills journey.
They learned the following:
Fundamental coding techniques to streamline their research workflow
Effective data management strategies to organize and analyze their data and
Practical tips on using open-source tools to enhance their research capabilities
The discussions had during the session will help anyone looking to learn foundational coding and data science skills.Empowering African Researchers: Building Data and Coding Skills with The Carpentries - AfricArXiv Open Science Webinar Series 202
Self-Perception of Health and Physical Activity Levels Among the Youth and Adults Before and Amidst the COVID-19 Pandemic
Full text linkBackground: Emerging research indicates that the COVID-19 pandemic and associated restrictions led to decreased physical activity levels and poorer health globally. However, most studies on this topic have focused on advanced countries, leaving a gap in understanding the impact in countries like Ghana. This study aimed to fill this gap by assessing self-perceived health status and physical activity levels among youth and adults in Ghana before, during, and after the COVID-19 restrictions. Understanding these dynamics is crucial for informing public health interventions and policies to promote well-being during and beyond the pandemic.
Methods: A cross-sectional survey using online data collection methods was conducted, involving 937 participants. Data included demographic information, and International Physical Activity Questionnaire-Short Form (IPAQ-SF). Analysis was done using SPSS version 25, with descriptive statistics and multinomial regression.
Results: Most participants (89.6%) reported good health. Male participants were significantly more likely to engage in moderate (1.78 times) and high (3.17 times) physical activity during the COVID-19 period compared to females.
Conclusion: This study highlights gender disparities in physical activity levels during the pandemic in Ghana. Addressing these disparities and promoting healthier lifestyles, especially during crises, is crucial for general and mental health. Further research should explore socio-demographic factors’ role in health behaviors during pandemics
Unleashing Creativity and Innovation for Connectivity Services in African Research and Education Communities Leveraging Innovation Hub Networks Across Africa
No full textSimplification of Aflatoxin Contamination Knowledge Access through Artificial Intelligence Chatbot:AflaChat
No full textExperiences and Lessons from Structural Interventions Against COVID-19 in Addis Ababa, Ethiopia
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Contribution to the role of slave trade in the Tripolitan Sahara during the 19th century: New Findings from Libya and Turkey
No full textL'esclavage était une pratique ancienne dans tout le Sahara. Cependant, il est difficile d'estimer le rôle joué par la traite des esclaves dans le fameux commerce transsaharien en raison du manque de données. En revanche, les données sont suffisantes pour calculer l'importance du commerce des esclaves au XIXe siècle. Malheureusement, tous les récits relatifs au Sahara tripolitain étaient basés sur des estimations imaginatives des consuls européens à Tripoli et des voyageurs européens dans la région. De nombreux historiens européens et américains ont cru ces sources sans les examiner, ce qui les a amenés à supposer que la traite des esclaves était d'une importance énorme pour ce commerce. Cependant, de nouvelles découvertes provenant des archives de Libye et de Turquie fournissent des chiffres précis sur la traite des esclaves. Ainsi, contrairement à ce que les historiens occidentaux ont longtemps cru, ces nouvelles découvertes prouvent l'insignifiance de la traite des esclaves dans le commerce transsaharien
An investigation of student's and academic knowledge and use of artificial intelligence in Higher education institutions: A case study of selected universities in Namibia
No full textApplication of Data Analytics in Process Prediction, Analysis, Management & Visualization Using Microsoft Power BI
No full textThis research on the "Application of Data Analytics in Process Prediction, Analysis, Management & Visualization Using Microsoft Power BI" delves into the application of data analytics, specifically Microsoft Power BI, to optimize PVC manufacturing processes. By meticulously collecting, cleaning, and transforming large volumes of production data, we uncover valuable insights that can significantly enhance operational efficiency, reduce costs, and improve product quality.
Our analysis focuses on key process variables such as temperature, flow rate, pressure, and energy consumption. Through the application of advanced data visualization techniques and statistical analysis, we identify critical correlations, anomalies, and trends. These insights empower manufacturers to make data-driven decisions, predict potential equipment failures, and optimize production schedules.
The findings of this research demonstrate the transformative potential of data analytics in the PVC manufacturing industry. By leveraging the power of Microsoft Power BI, organizations can harness the value of their data to achieve substantial improvements in productivity, energy efficiency, and overall profitability.This research explores the application of data analytics, specifically Microsoft Power BI, to optimize processes within the chemical and manufacturing industries. By analyzing large volumes of production data from a PVC (polyvinyl chloride) manufacturing plant, it aimed to identify trends, anomalies, and opportunities for improvement.
The study involved collecting, cleaning, and transforming production data, including process temperature, flow rate, torque, tool wear, energy consumption, and failure types. This data was then loaded into Power BI, where it was analyzed and visualized to gain insights into the manufacturing process.
Through data-driven analysis, critical relationships between process variables and product quality were identified. For instance, it was observed that variations in voltage and temperature can significantly impact product quality and energy consumption. By monitoring these variables and making timely adjustments, it is possible to optimize production processes, reduce energy costs, and minimize product defects.
The findings of this research demonstrate the potential of data analytics to revolutionize industrial processes. By leveraging the power of Power BI, organizations can harness the value of their data to achieve significant improvements in efficiency, productivity, and overall performance
Open Peer Review, Collaborative Preprint Review and Opportunities to Learn and Teach Others
No full textThis webinar focused on the benefits of open peer review and how researchers can work together to review preprints. Vanessa Fairhurst and Chad Sansing from PREreview also shared opportunities for learning and teaching within the research community.
Some members of the 2024 PREreview Champions Program also be joined to share their experiences of working with PREreview in the African research context.
This was a great opportunity to understand more about collaborative review processes and their positive impact on science.Open Peer Review, Collaborative Preprint Review and Opportunities to Learn and Teach Others - AfricArXiv Open Science Webinar Series 202