The Contribution of Coffee Farming to Household Welfare in Murama Parish Nyakishenyi Sub-County, Rukungiri District. by Kukundakwe, Gerald

“…The findings revealed that the fanning of coffee has enabled the farmers to improve their standards of living since they earn money from the sale of coffee which has enabled farmers to pay school fees for their children in institutions of higher learning. The production of coffee has created employment opportunities for the people in the district especially the youth who are working in the small-scale coffee factories in the area and because of this coffee has become the sole source of income for many people in this area. …”
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Family Economic Status and Pupils' Academic Performance in Primary Schools of Kamuganguzi Sub-County Kabale District. by Twinomuhangi, Alex

“…The study recommended that providing scholastic materials, learning, and instructional materials, attending remedial lessons, feeding pupils on a balanced diet, employing trained teachers, and educating parents during parent's teachers' association meetings on income-generating activities to improve their income levels would effectively improve pupils' level of academic performance.…”
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Teachers Readiness in Implementing the New Curriculum in Secondary Schools of Rukungiri Municipality. by Muhumuza, Christoms

“…While some schools have adequate materials, others face shortages, affecting the quality of teaching and learning. Assessment methods were generally perceived as effective, yet concerns about alignment with classroom topics suggest the need for better integration. …”
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Teaching and Assessment of Physical Education in Secondary Schools of Kabale Municipality. by Bakurumpagi, Eliab

“…The study concluded that while PE departments were equipped with essential tools and materials, there is a need for further research into PE student training and assessment methods to enhance the teaching and learning process.…”
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Assessing Knowledge, Attitudes and Practice of Hand Washing with Soap among Mothers and Caregivers of Children under Five years in Ntungamo District, Uganda by Topher, Byamukama

“…Whereas whose who washed their hands while handling food were77%, but out of 77% only 28% used soap There was no diarrhea reported among respondents that had A-level education and only 20% of those that had post-secondary education reported having diarrhea episodes among the under-five compared to 64% that reported diarrhea among the under-fives for those that had incomplete primary level of education, 57% among the households of functional adult learning graduates and 49% for those that completed primary level of education.…”
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scCamAge: A context-aware prediction engine for cellular age, aging-associated bioactivities, and morphometrics by Vishakha Gautam, Subhadeep Duari, Saveena Solanki, Mudit Gupta, Aayushi Mittal, Sakshi Arora, Anmol Aggarwal, Anmol Kumar Sharma, Sarthak Tyagi, Rathod Kunal Pankajbhai, Arushi Sharma, Sonam Chauhan, Shiva Satija, Suvendu Kumar, Sanjay Kumar Mohanty, Juhi Tayal, Nilesh Kumar Dixit, Debarka Sengupta, Anurag Mehta, Gaurav Ahuja

“…Summary: Current deep-learning-based image-analysis solutions exhibit limitations in holistically capturing spatiotemporal cellular changes, particularly during aging. …”
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MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia by Haiyuan Wang, Runlin Peng, Yuanyuan Huang, Liqin Liang, Wei Wang, Baoyuan Zhu, Chenyang Gao, Minxin Guo, Jing Zhou, Hehua Li, Xiaobo Li, Yuping Ning, Fengchun Wu, Kai Wu

“…The methodology of machine learning with multi-omics data has been widely adopted in the discriminative analyses of schizophrenia, but most of these studies ignored the cooperative interactions and topological attributes of multi-omics networks. …”
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AI-based medical ethics education: examining the potential of large language models as a tool for virtue cultivation by Shimpei Okamoto, Masanori Kataoka, Makoto Itano, Tsutomu Sawai

“…Conclusions The study involved a comprehensive exploration of the function of LLMs in medical ethics education, positing that tools such as ChatGPT can profoundly enhance the learning experience in the future. This is achieved through tailored, interactive educational encounters while addressing the ethical nuances of their use in educational settings.…”
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Utprøving av simuleringsaktiviteter i grunnskolelærerutdanningen – en ny læringsarena for sterkere koherens og utvikling av profesjonsfellesskap by Hege Myhre

“…ENGLISH ABSTRACT Testing simulation activities in general teacher education – a new arena for stronger coherence and development of professional communities This article presents results of a self-study of new learning activities in general teacher education, inspired by simulation methodology, which is a widely used form of teaching in health sciences. …”
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CSTN: A cross-region crop mapping method integrating self-training and contrastive domain adaptation by Shuwen Peng, Liqiang Zhang, Rongchang Xie, Ying Qu

“…CSTN uses pseudo-labels in the target region generated by the self-training strategy to assist supervised learning, and aligns features across regions using class-aware prototypes. …”
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Ultra-Short-Term Wind Power Forecasting Based on DT-DSCTransformer Model by Yanlong Gao, Feng Xing, Lipeng Kang, Mingming Zhang, Caiyan Qin

“…First, the model applies DT’s self-learning standardization and de-standardization parameters to standardize the input and de-standardize the output, mitigating the impact forecasting of data distribution shifts on prediction accuracy. …”
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Does instruction through mother tongue impede students’ English proficiency? public skepticism on the instructional language policy in the state of Amhara by Melaku Gebremeske

“… This study examined whether learning in the mother tongue affects students’ English proficiency in the State of Amhara. …”
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Implementasi Algoritma Convolutional Neural Network untuk Klasifikasi Jenis Keris by Maria Mediatrix Sebatubun, Cosmas Haryawan

“…Penelitian ini akan mengimplementasikan metode deep learning dengan algoritma Convolutional Neural Network (CNN) yang dapat melakukan tugas klasifikasi secara langsung pada citra, untuk membangun sebuah model untuk klasifikasi jenis keris berdasarkan dhapur. …”
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Generating context-specific sports training plans by combining generative adversarial networks. by Juquan Tan, Jingwen Chen

“…Personalized sports training plans are essential for addressing individual athlete needs, but traditional methods often need to integrate diverse data types, limiting adaptability and effectiveness. Existing machine learning (ML) and rule-based approaches cannot dynamically generate context-specific training programs, reducing their applicability in real-world scenarios. …”
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Converting from Seepage Irrigation to Plasticulture for Vegetable Production: A Case Study by Charles E. Barrett, Lincoln Zotarelli, Lucas G. Paranhos, Mark W. Warren

“…The plasticulture system was designed to provide a small-scale installation of this technology for learning and commercial adaptation purposes. This small-scale system has great potential for encouraging adoption of this type of system with low risk to the grower. …”
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Prediction of High-ozone Events Using GAM, SMOTE, and Tail Dependence Approaches in Texas (2005–2019) by Benjamin Brown-Steiner, Xiong Zhou, Matthew J. Alvarado, Brook T. Russell

“…Finally, the feature selection via the tail dependence method performs comparably to other forms of machine learning-based feature selection and we find that there are multiple parameter sets that can predict MDA8 O3 with equal success.…”
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Remote sensing forest health assessment – a comprehensive literature review on a European level by Drechsel Johannes, Forkel Matthias

“…We conclude that the availability of new satellite systems and advances in artificial intelligence and machine learning should be translated into FHA practice according to ICP standards.…”
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A novel classification method for balance differences in elite versus expert athletes based on composite multiscale complexity index and ranking forests. by Yuqi Cheng, Dawei Wu, Ying Wu, Youcai Guo, Xinze Cui, Pengquan Zhang, Jie Gao, Yanming Fu, Xin Wang

“…We calculated the CMCI and used four machine learning algorithms-Logistic Regression, Support Vector Machine(SVM), Naive Bayes, and Ranking Forest-to combine these features and assess each participant's balance ability. …”
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Combination of Artificial Neural Network and Particle Swarm Intelligence Algorithm for Diagnosing Diabetes by Cillian Thompson, Oscar Higgins

“…Furthermore, in diabetic disease modelling, artificial neural networks have demonstrated outstanding accuracy compared to alternative methods such as machine learning, regression, artificial neural networks, and decision trees.…”
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