The Importance of Breakfast in Enhancing Students' Focus at School by Nurul Widad Fitri Muhammad, Nur Aina Mardhiah Che Rahim, Amrina Rasyada Kamaruzaman, Noor Fatimah Mujahid, Khairulnazrin Nasir

“…Students who skip breakfast will become hungry, which can disrupt their learning. Islam, as a complete faith, emphasises eating healthy meals. …”
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Synchronization-based graph spatio-temporal attention network for seizure prediction by Jie Xiang, Yanan Li, Xubin Wu, Yanqing Dong, Xin Wen, Yan Niu

“…In recent years, a large number of studies have been conducted using deep learning models on epileptic open electroencephalogram (EEG) datasets with good results, but due to individual differences there are still some subjects whose seizure features cannot be accurately captured and are more difficult to differentiate, with poor prediction results. …”
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Living Group Mosaic Family: participation of people with disabilities in the community by Marta Aoki, Fátima Correa Oliver, Ariane Bazarin de Campos Cancegliero, Júlia Colussi

“…Joining the group promoted emotional changes, discoveries of skills, promotion of care and learning, self-esteem and communication improvement among participants. …”
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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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Considering the potential unintended consequences of RateMDs: an exploratory study in one specialty by Kristina H Pulkki, Shamira Pira, Meredith Young, Grace M Scott, Carol Nhan, Kevin Fung, Gabriella Le Blanc, Lily HP Nguyen

“…We explored the content of reviews associated with low physician ratings and consider the potential benefits and consequences of relying on this form of freely available data to support individual life-long learning. Methods: We conducted an exploratory qualitative descriptive study. …”
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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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The Factors Affecting Grade Progress in Language Proficiency of Undergraduate Medical Students by Aivar L. Surji, Hannah K. Surji, Soma Hassan Hussein, Aziza Kavlu

“…Interviews were applied to grasp the contributors' experience with language learning and the factors they encountered. The participants’ responses presented that substantial workload and lengthy breaks were the factors that affected their language development. …”
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GPS TRAJECTORY CLUSTERING FOR SPATIO – TEMPORAL BEHAVIOR ANALYSIS: THE APPLICATION OF HEATMAP TECHNIQUES AND SPATIO- TEMPORAL DUAL GRAPH NEURAL NETWORK by Mais Muhanad, Wadhah R.Baiee

“…Additionally, this thesis introduces a framework for time estimation based on graph-based deep learning, termed Spatio-Temporal Dual Graph Neural II Networks (STDGNN). …”
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Optimizing Clinical Reasoning: Unpacking the Impact of Virtual Patient Educational Duration in Cancer Care and Nursing Students’ Experiences by Masoud Bahrami, Arash Hadadgar, Masoumeh Fuladvandi

“…Notably, the participants exhibited contentment with the learning experience through VPs. Conclusions: The survey found that 85.60% of participants prefer using VPs for clinical reasoning education. …”
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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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PAPEL DO SUPERVISOR ESCOLAR DIANTE DA RELAÇÃO PROFESSOR-ALUNO by Marlons Lino da Cruz, Antonio Marcos de Oliveira Siqueira

“…A bibliographic research was carried out considering the contributions of several authors, trying to emphasize the importance of the good coexistence between educating and educators, as well as the necessity of the pedagogue to take care that the interpersonal dimension between teachers and learners does not negatively interfere in the teaching process. learning. It was concluded the importance of having a school supervisor acting as a mediator of the affections that occur within the school, in order to ensure that the formal educational process happens with quality. …”
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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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