Non-intrusive load monitoring based on time-enhanced multidimensional feature visualization by Tie Chen, Yimin Yuan, Jiaqi Gao, Shinan Guo, Pingping Yang

“…Furthermore, utilizing transfer learning, the model trained and tested on the PLAID dataset was further tested on the WHITED dataset to increase the model’s universality and generalization ability, showing significant effects in identifying loads with similar V–I trajectories and multiple states.…”
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SurvBeNIM: The Beran-Based Neural Importance Model for Explaining Survival Models by Lev V. Utkin, Danila Y. Eremenko, Andrei V. Konstantinov, Vladimir A. Muliukha

“…It aims to explain predictions of machine learning survival models, which are in the form of survival or cumulative hazard functions. …”
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Convolutional neural networks for diabetic retinopathy detection by Darwin Patiño-Pérez, Luis Armijos-Valarezo, Luis Chóez-Acosta, Freddy Burgos-Robalino

“… The early detection of diabetic retinopathy remains a critical challenge in medical diagnostics, with deep learning techniques in artificial intelligence offering promising solutions for identifying pathological patterns in retinal images. …”
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Junior high school's EFL teachers' reading habits and literacy practices by Ni Komang Arie Suwastini, Ni Kadek Citrawati, Ni Wayan Surya Mahayanti, Nice Maylani Asril, I Gusti Agung Sri Rwa Jayantini

“…The teachers fostered the students' awareness of reading by giving reading tasks, sharing and discussing the reading experience, establishing literacy groups, forming reading corners, using the text or result of reading as learning resources, and posting the reading activities on social media. …”
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Modelling the flowing bottom hole pressure of oil and gas wells using multivariate adaptive regression splines by Okorie Ekwe Agwu, Saad Alatefi, Ahmad Alkouh, Raja Rajeswary Suppiah

“…Traditional methods, such as using downhole gauges or relying on empirical and mechanistic models, have limitations, prompting the exploration of alternative approaches such as machine learning (ML). However, most ML models operate as black box models, lacking transparency and interpretability. …”
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Staff Management in Social Security Hospitals in Tehran: Challenges and Solutions by Asra Khalili, Ali Mohammad Mosadegh Rad, SHahram Ghafary, Ebrahim Jaafaripooyan

“…Proposed solutions, classified into five main groups and 29 subgroups, encompassed: enhancing recruitment and hiring processes, fostering a dynamic organizational culture, improving human resource productivity and efficiency, transforming hospitals into learning organizations, providing comprehensive and effective training, and increasing transparency in rules and regulations, particularly in job descriptions. …”
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Factors influencing academic staff satisfaction and continuous usage of generative artificial intelligence (GenAI) in higher education by Maria Ijaz Baig, Elaheh Yadegaridehkordi

“…Abstract Generative Artificial Intelligence (GenAI) tools hold significant promises for enhancing teaching and learning outcomes in higher education. However, continues usage behavior and satisfaction of educators with GenAI systems are still less explored. …”
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Development of self-assessment scale of Public health nursing Art to enhance “Strength of Community” (PASC) by Miho Tanaka, Reiko Okamoto, Keiko Koide, Misaki Kiya

“…It is essential to develop a learning programme for public health nurses to acquire public health nursing skills that enhance community strengths and a self-assessment scale for achievement. …”
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Advanced retinal disease detection from OCT images using a hybrid squeeze and excitation enhanced model. by Gülcan Gencer, Kerem Gencer

“…This paper offers a hybrid SE (Squeeze-and-Excitation)-Enhanced Hybrid Model for detecting retinal disorders from OCT images, including DME, Drusen, and CNV, using artificial intelligence and deep learning.<h4>Methods</h4>The model integrates SE blocks with EfficientNetB0 and Xception architectures, which provide high success in image classification tasks. …”
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Advances in antiviral strategies targeting mosquito-borne viruses: cellular, viral, and immune-related approaches by Ayyaz Khan, Zakirullah, Shahid Wahab, Seong-Tshool Hong

“…Additionally, it explores immunomodulatory therapies to enhance antiviral responses and emphasizes the potential of drug repurposing, bioinformatics, artificial intelligence, and deep learning in identifying novel antiviral candidates. …”
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STEPNet: A Spatial and Temporal Encoding Pipeline to Handle Temporal Heterogeneity in Climate Modeling Using AI: A Use Case of Sea Ice Forecasting by Sizhe Wang, Wenwen Li, Chia-Yu Hsu

“…It builds on and extends the architecture of vision and temporal transformer architectures to leverage their power in extracting important hidden relationships over long data ranges. The learning pipeline is designed for flexibility and extendibility, enabling easy integration of different encoders to process diverse data characteristics and meet computational demands. …”
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Project symphony: Composing a masterpiece in a science laboratory by Sunghee Lee, Jamie Gudyka, Marnie Skinner, Jasmin Ceja-Vega, Amani Rabadi, Christopher Poust, Caroline Scott, Micaela Panella, Elizabeth Andersen, Jessica Said

“…At a Predominantly Undergraduate Institution (PUI) such as Iona, she saw a unique opportunity to weave together teaching and research, creating a rich tapestry of learning experiences for students.Her goal was simple yet ambitious: to use research as a bridge connecting classroom theory to real-world interdisciplinary scientific practice.In this Backstory, Sunghee and her students and recent graduates reflect on the development and experiences that shaped their journey through Project Symphony and the resulting skills they’ve learned. …”
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Indigenous food sovereignty: Pathways for Native scholars by Mapuana Antonio, Joseph Brewer, Richard Elm-Hill, Michael Johnson, Tabitha Robin, A-Dae Romero-Briones, Lois Stevens, Keith Williams

“…As an intro­duction to the IFSEC, this column will briefly outline the centrality of food, place, and learning in Indigenous lifeways, the main differences between Indigenous and Western approaches to the food system, and some thoughts on the role of Indige­nous ways of knowing and being for the collective flourishing of humanity and all our relations, human and otherwise. …”
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Comparative Analysis of Financial Flows in the Healthcare Systems of Germany, Austria and Czechia: Opportunities for Savings and Assessing the Tax-Like Nature of Health Insurance C... by Mini, Patrick

“…Originality/value: By dissecting the healthcare financial flows in Germany, Austria, and Czechia, this study offers a nuanced understanding of their systems' dynamics and identifies opportunities for cross-border learning to inform global healthcare policy reform. …”
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Medical students' knowledge, attitudes, and motivation towards antimicrobial resistance efforts in Eastern Uganda. by Jonathan Babuya, Daniel Waruingi, Douglas Mungujakisa, Osmas Ahimbisibwe, Victoria Ruth Kako, Faith Aporu, Emmanuel Mugume, Julian Nyamupachitu, Kenedy Kiyimba

“…<h4>Introduction</h4>Learning beyond the classroom is important for holistic engagement in antimicrobial resistance(AMR) mitigation. …”
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Simulating human behavior under earthquake early warning by Matthew Wood, Sara K. McBride, Xilei Zhao, Dare Baldwin, Elizabeth S. Cochran, Xiaojian Zhang, Nicolas Luco, Ruggiero Lovreglio, Tom Cova

“…Earthquakes are a rapid-onset hazard where advance planning and learning plays a key role in mitigating injuries and death to individuals. …”
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The Influence of Head Teacher’s Leadership Styles on Service Delivery in Secondary Schools in Uganda: A Case Study of Ssembabule District. by Adoko, Vincent

“…The study was as a result of education performance and the quality of learning continuing to lag behind in Ssembabule district. …”
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ICT Usage and Implementation of Competence-Based Curriculum in Selected Secondary Schools in Kabale Municipality. by Mugabe, Samuel

“…The study recommended that schools need to have adequate and up-to-date ICT infrastructure, including hardware, software, and connectivity; Teachers need to be trained in how to effectively integrate ICT into their teaching practices; Encourage collaboration and sharing of best practices; ICT should be integrated into all subject areas, not just in computer studies or ICT classes; Schools should regularly evaluate the impact of ICT integration on student learning outcomes and Schools need to provide ongoing support to teachers and students to ensure that they are able to use technology effectively. …”
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Mobile Banking and Financial Performance of Commercial Banks in Uganda: A Case Study of Stanbic Bank Rukungiri Branch. by Kinembabazi, Cynthia

“…For instance, some ATMs should be installed in supermarkets, learning institutions, and medical centers. The suggested areas for further study were; the effect of agency banking on the financial performance of Microfinance Institutions, electronic banking and effective financial performance in Microfinance Institutions, and mobile banking and economic development of communities in Uganda.…”
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The Impact of Girl-Child School Dropout on The Economic Development in Nyamirima Sub-County Kanungu District. by Tumukurate, Innocent

“…The findings of the study revealed that there were impacts of girl-child school dropouts on economic development, causes of girl-child school dropout in primary schools, and possible solutions to promote girl-child education in primary schools. the researcher recommended that girls should not be harassed both within and outside schools. there should be a conducive learning environment. Domestic chores should be reduced per girl child during school hours. …”
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