Performance Contract System and Decentralised Education Service delivery in Kayonza District of Rwanda. by Mugabo Seth, Asiimwe

“…The effectiveness of the system in education service delivery was found out to be influenced by factors such as teachers’ awareness and adoption of the system, motivation, level of happiness and commitment involvement of implementers at all levels, working environment, availability of resources and teachers attitudes on the importance of performance contract while the challenges in the implementation of the system were found to include limited awareness, dishonesty, low motivation, poor learning environment poor perception and adoption, lack of ownership of the process and poor evaluation criterion. …”
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Examining the Influence of Covid-19 Pandemic on Female Students’ Education in Secondary Schools in Kisoro Municipality, Uganda by Hadijah, Nalule

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LazyAct: Lazy actor with dynamic state skip based on constrained MDP. by Hongjie Zhang, Zhenyu Chen, Hourui Deng, Chaosheng Feng

“…Deep reinforcement learning has achieved significant success in complex decision-making tasks. …”
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Comparison of Learner Self-Evaluations to Preceptor Evaluations for Scored Activities on Introductory and Advanced Pharmacy Practice Experiences by Jennifer Wood, Riley Bowers, Carrie Baker

“…The primary objective of this study was to compare learner self-evaluations to preceptor and pharmacy resident evaluations for scored learning activities completed on experiential rotations. …”
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Acquisition and maintenance of disgust reactions in an OCD analogue sample: Efficiency of extinction strategies through a counter-conditioning procedure. by Caroline Novara, Cindy Lebrun, Alexandra Macgregor, Bruno Vivet, Pierre Thérouanne, Delphine Capdevielle, Stephane Raffard

“…<h4>Methods</h4>The two groups completed a differential associative learning task in which neutral images were followed by disgusting images (conditioned stimulus; CS+), or not (CS-). …”
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Error fields: personalized robotic movement training that augments one’s more likely mistakes by Naveed Reza Aghamohammadi, Moria Fisher Bittmann, Verena Klamroth-Marganska, Robert Riener, Felix C. Huang, James L. Patton

“…Abstract Control of movement is learned and uses error feedback during practice to predict actions for the next movement. …”
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The Standardized Data Management Plan for Educational Research by Sebastian Netscher, Harald Kaluza, Reiner Mauer, Kati Mozygemba, Karsten Stephan

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Ontology-based prompt tuning for news article summarization by A. R. S. Silva, Y. H. P. P. Priyadarshana

“…Despite the progress in natural language processing (NLP) and machine learning, existing methods often rely on extractive summarization, which lacks the ability to generate coherent and contextually rich summaries. …”
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Enhancing surface detection: A comprehensive analysis of various YOLO models by G. Deepti Raj, B. Prabadevi

“…Version 5 of You Only Look Once (YOLO), a precisely optimized learning model, has undergone extensive testing on steel strip datasets, providing effective solutions for recognition and detection in industry environments. …”
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Emotional responses of college students to filtered fluorescent lighting in a classroom (v3) by Hon K. Yuen, Anna L. Wood, Jane E. Krentel, Robert A. Oster, Anthony D. Cunningham, Gavin R. Jenkins

“…# Background Classroom lighting, usually bright fluorescent light, can significantly influence the learning environment and emotions of students. # Objective To assess the emotional impact of classroom lighting on students during an academic year…”
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Estimating Shape Parameters of Piecewise Linear-Quadratic Problems by Zheng, Peng, Ramamurthy, Karthikeyan Natesan, Aravkin, Aleksandr Y.

“…Piecewise Linear-Quadratic (PLQ) penalties are widely used to develop models in statistical inference, signal processing, and machine learning. Common examples of PLQ penalties include least squares, Huber, Vapnik, 1-norm, and their asymmetric generalizations. …”
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The specificity of teacher reflectivity in early education teachers – a study report by Joanna Szymczak, Adam Mroczkowski

“…They avoided involving other people in the process of analyzing a situation, thus depriving themselves of an opportunity to develop transformative learning abilities. At their current stage of professional education, they showed a need for support, which may be aided by the assumptions of the humanistic concept of teacher education and the emancipatory rationality. …”
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The Use of GeoGebra in Teaching Mathematical Concepts: Practices, Barriers, and Teachers' Perceptions by Luis Dubarbie-Fernández, Álvaro Barreras, Antonio M. Oller-Marcén

“…The data have been analyzed both quantitatively and qualitatively with the objective of knowing obstacles to the use of GeoGebra and to the development of own applets, to identify the most outstanding characteristics of the GeoGebra applets for teaching the limit and to determine the moments of the process of teaching-learning in which this tool is used. Thus, a limited use of GeoGebra in teaching the limit and a very low percentage of teachers who develop their own applets has been identified, mainly due to the absence of technological resources and the lack of knowledge. …”
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Comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performance by Samir Akre, Zachary D. Cohen, Amelia Welborn, Tomislav D. Zbozinek, Brunilda Balliu, Michelle G. Craske, Alex A. T. Bui

“…Correlations between self-reported and physiological sleep measures were generally weak. Machine learning models revealed that self-reported sleep quality could detect all depression symptoms measured using the Patient Health Questionnaire-14, whereas physiological sleep measures detected “sleeping too much” and low libido. …”
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Application, Challenges, and Prospects of Large Language Model in the Field of Traditional Chinese Medicine by CHEN Zijia, PENG Wenxi, ZHANG Dezheng, LIU Xin, WANG Zhifei

“…LLM has unique advantages in the field of traditional Chinese medicine (TCM), such as high consistency with the "Four Diagnostic Methods", perfect combination of natural language and self-supervised learning in TCM, the ability to adapt to the characteristics TCM formulas, and the assistance in TCM diagnosis and treatment. …”
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PIPENN-EMB ensemble net and protein embeddings generalise protein interface prediction beyond homology by David P. G. Thomas, Carlos M. Garcia Fernandez, Reza Haydarlou, K. Anton Feenstra

“…Abstract Protein interactions are crucial for understanding biological functions and disease mechanisms, but predicting these remains a complex task in computational biology. Increasingly, Deep Learning models are having success in interface prediction. …”
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Ultrasound Radiogenomics-based Prediction Models for Gene Mutation Status in Breast Cancer by Zhai Yue, Tan Dianhuan, Lin Xiaona, Lv Heng, Chen Yan, Li Yongbin, Luo Haiyu, Dan Qing, Zhao Chenyang, Xiang Hongjin, Zheng Tingting, Sun Desheng

“…By integrating clinical data with ultrasonic features, predictive models are developed using machine learning techniques, aiming to refine the capability to diagnose and personalize treatment plans for breast cancer patients. …”
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Fault analysis and fault degree evaluation via an improved ResNet method for aircraft hydraulic system by Kenan Shen, Dongbiao Zhao

“…After that the evaluate results are given and analyzed, moreover the comparison between the SE-ResNet method with the other machine learning methods are given. The results show that the method in this paper has the best accuracy and shortest test time, therefore the method proposed in this paper has effective measures to improve the reliability of the aircraft hydraulic system.…”
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