Exploration of Climate Data and Temperature Forecasting using Machine Learning

In this short communication, a concept has been presented to model geographical data to predict future temperature of Tabuk, region. Machine learning has been applied to the weather station data to develop a prediction model. The preliminary results are promising and encouraging and are envisaging to further this research towards the determination of unknown temperature rise in the region. This is important to mention here, that the problem has been formulated as a Regression problem, NOT as a classification problem. Hence, applying Convolutional neural networks is not possible, due to the non-existence of classes or converting the temperature values to classes does not make any sense. Hence, this is defined as a regression problem which achieved encouraging desirable results.N/

Antimicrobial resistance: One health approach in Rwanda

This commentary provides the authors' views related to the Antimicrobial Resistance (AMR) profile in Rwanda in terms of prevalence, knowledge, attitudes, practices, and existing interventions at the one health interface. AMR is a critical and global health concern posing a significant threat to the effective treatment of infections and lead to increased morbidity and mortality. Among few studies that have been conducted on AMR in Rwanda, the issue was found to be widespread in both human and animals. A high resistance has been found among the commonly used antibiotics seconded by the lack of knowledge and appropriate practices among different groups of people. Some interventions, including “one health” approach are in place aiming to address these issues, but challenges are still around due to developing surveillance system, limited studies, and low public awareness. Extensive studies and enhance surveillance are recommended to better understand AMR to inform the public and policy makers for effectively tackling of the AMR issue, particularly in rural areas. Data availability statement: Data sharing does not apply to this article as no new data were created or analyzed in this study.We extend our heartfelt gratitude to the Rwanda Preprint Club for providing technical support which is instrumental in fostering collaboration among researchers and healthcare professionals. Thank you for your invaluable contribution to advancing global Health Security

Application of Data Analytics in Process Prediction, Analysis, Management & Visualization Using Microsoft Power BI

This 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

Exploring the implementation of the TIME Home Learning programme and learning trajectories of 5- to 7-year-olds: Introduction to the TIME study

More information about the TIME (Together in My Education) home-learning programme and materials can be found in open access at: https://wwhomeliteracy.org.za/time/This is the first in a series of learning briefs that explore the implementation of the TIME Home Learning programme and the learning trajectories of 5- to 7-year-olds. This brief focuses on key elements of the programme, and also on the design of a study to explore how it is embedded in the ecosystem and lived in practice.DG Murray Trus

Should I Install LaTeX , MiKTeX or TexStudio?

In various guises, this is a common question, innocent, but actually betraying a fundamental confusion about TeX evolution, directory, and the levels of operation in the TeX/LaTeX family and friends. TeX is a macro typesetting language developed by Donald E. Knuth, and today’s worldwide de facto standard for high-quality digital document typesetting for writers/authors in the academics and publishers of journals and books, including Elsevier, PlosOne, JSON and Nature Springer. LateX and ConTeXt are the two main evolution and revolutionary development 'on top of TeX'. LaTeX is an extension of TeX typesetting macro created by Leslie Lamport, with addition of standard packages and features for plain-tex contents using markup language syntax. It is a free document typesetting and processing system for creating high quality rich document format. That is, outputs in device transferable formats (DVI, PDF, HTML, etc) suitable for websites and submission to journals, academic institutions and publishers for ultimate publication. It is in principle and editing style different from a Word Processor, to encourage and enable authors concentrate more on writing rich contents, leaving document design to expert document designers. MiKTeX is a modern TeX distribution for Microsoft Windows, Linux and macOS, while TexStudio (likewise TeXnicenter) are GUI TeX document editors. This article clears the confusion and give a comprehensive introduction to anyone, (authors including academics) to choose between TeX/LaTeX distributions and editors to install given offered particular feature advantages, the particular of the users' academic field and level of productivity on their project, report or document. **** *SIGNIFICANCE: The author relied on primary source documents, chats with LaTeX development members on stackexchange.com, literatures, and extensive software features testing and hoped this publication fills the gaps in knowledge and literature, aside many plagiarized blogs, confusing articles (as learning LaTeX itself). It details the important breakthroughs in TeX development projects which include the creation of pdfTeX in 2014, graphic editors, GUI and online TeX editors, running external program codes (R, Python, Mathlab, etc) in LaTeX native environment, expl3 language as part of LaTeX kernel in 2020, also syncing/integrating tools to other platforms/environment

Exploring the Potential of Aquaponics Systems in Advancing Food Security in Kenya: A Scoping Review

The pressing issue of global food insecurity demands immediate attention, particularly in developing nations like Kenya. Traditional agricultural methods in these regions often involve high resource consumption, limited nutrient recycling, and substantial negative environmental impacts. In light of the escalating demand for food production and the imperative for sustainable food systems, it is crucial to explore innovative and efficient technologies capable of concurrently addressing nutrient management, water utilization, and food production challenges. The prevalent reliance on chemical fertilizers within Kenya's food production sector adversely affects both soil and environmental health, leading to a gradual decline in agricultural productivity. Additionally, many regions in Kenya grapple with water scarcity, posing a significant obstacle to food production. The heavy dependence on rain-fed agriculture further exposes food production to fluctuations in climatic conditions. Monoculture-based food systems demonstrate inefficiencies in land, water, and nutrient usage. Despite its current limited adaptability, aquaponics emerges as a promising solution to confront these challenges by optimizing water, nutrient, and land utilization in food production. Case studies in Kenya have demonstrated the potential of aquaponics in enhancing food production. This scoping review provide information on the status of aquaponics adoption in Kenya, challenges and barriers to adoption and the possible solutions to enhance adoption of aquaponics in the Kenyan food production sector.This study was funded by the Kenya National Research Fund (NRF) through Research Grant No. Food Systems and Climate (FOSC) 2022 awarded to Dr. Erick Ogello of Maseno University

Yizani Sifunde Impact Infographic

The Yizani Sifunde (isiXhosa for ‘Come, let’s read) was designed as a model to improve preschool children’s early learning outcomes. The project combined abundant book ownership (Book Dash), training on an in-classroom early literacy programme called Little Stars (Wordworks) and community activations (Nal’ibali). More information about Yizani Sifunde is available on the Book Dash website https://bookdash.org/yizani-sifunde/ The document is published with permission by Liberty Community Trust and in acknowledgement of the contribution of Social Impact Insights Africa, who planned and implemented the external evaluation. Katie Huston wrote the text and Skyboy Design produced the graphics.The infographic is a 4-page summary of the multi-pronged early literacy project called Yizani Sifunde, and the impact it has had, based on the results of an independent evaluation. The project was a collaboration of five South African NGOs and implemented between 2021 and 2023 in the Eastern Cape of South Africa. The infographic starts by explaining the problem that the project was trying to address and the multi-pronged project that was designed in response to it, loosely inspired by the "triple cocktail for education" developed for foundation phase classes in South Africa (training, resources and support/modelling). However, being designed for 4-5 year-olds, the project design went beyond a mere classroom intervention to include intervention elements targeting the homes, caregivers, and the broader community. The document then summarises findings from internal monitoring and external evaluation, revealing remarkable learning gains on the ELOM (Early Learning Outcomes Measure) for the participating children, that go far beyond the expected child maturation. These learning gains are particularly remarkable for children who were identified as vulnerable at baseline. The document then goes on to describe the shifts that were observed in the participating ECD centres (using qualitative observations and ECERS results) as well as in the homes and communities. Finally, the document highlights elements that have contributed to the project's success, namely the mechanisms of the collaboration and the supportive attitude of the funder.Liberty Community Trust funded the project, the evaluation and the production of this infographic