Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations by Bartosz Czernecki, Michał Marosz, Joanna Jędruszkiewicz

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User Interface And User Experience Design Mathematics Learning Applications Flat Sided Space Building Materials For Junior High School by Elvara Purwati, Ahmad Anis Abdullah

Subjects: “…Mathematical Learning Media Application, User Interface, User Experience, ADDIE Development, Three-Dimensional Flat Sided…”
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Two-stage multi-timescale optimal scheduling for electricity-hydrogen coupling systems based on scenario approach and deep reinforcement learning by CHEN Zhe, WEI Meijia, LIN Da, LI Zhihao, CHEN Jian

“…To address these challenges， this paper， using scenario approach and deep reinforcement learning （DRL）， proposes a two-stage multi-timescale optimal scheduling method for electricity-hydrogen coupling systems considering uncertainties of wind and solar power generation. …”
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THE EFFECT OF USING INQUIRY BASED LEARNING STRATEGY ON STUDENTS SPEAKING ABILITY ( A Case Study at SMAN 7 Bengkulu Selatan) by Yogi Irawan, Syahrial Syahrial, Dedi Sofyan

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Assessment Design And Practices Toward Holistic Learning Of Higher Education Students: Empirical Evidence Via Path Analysis Modelling Approach by Ebenezer Afrifa-Yamoah, Esther Adama, Amanda Graf, Kwadwo Adusei-Asante

“…Journal of the Scholarship of Teaching and Learning…”
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Multi-objective optimization of SUS430C steel turning process using hybrid machine learning and evolutionary algorithm approach by Nguyen Van-Canh, Nguyen Anh-Thang, Pham Ngoc-Linh, Nguyen Thuy-Duong

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Personalized Injury Reduction Strategies in Sports Medicine: Lessons Learned from Advances in Breast Cancer Treatment: A Clinical Commentary by Garrett Bullock, Gary Collins, Rober Adams, Charles Thigpen, Ellen Shanley

“… # Clinical Question How can sports physical therapists identify and apply lessons learned from other healthcare fields to improve athlete injury risk and risk management strategies? …”
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A deep learning approach for automatic 3D segmentation of hip cartilage and labrum from direct hip MR arthrography by Malin Kristin Meier, Ramon Andreas Helfenstein, Adam Boschung, Andreas Nanavati, Adrian Ruckli, Till D. Lerch, Nicolas Gerber, Bernd Jung, Onur Afacan, Moritz Tannast, Klaus A. Siebenrock, Simon D Steppacher, Florian Schmaranzer

“…When tested on the external dataset, the DSC was 0.89 ± 0.02 (0.88–0.90) and 0.71 ± 0.04 (0.69–0.73) for cartilage and labrum, respectively.The presented deep learning approach accurately segments hip cartilage and labrum from 3D MRI sequences and can potentially be used in clinical practice to provide rapid and accurate 3D MRI models.…”
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THE ENIGMA OF WORKING MOTHERS IN INSTITUTIONS OF HIGHER LEARNING IN NSUKKA L.G.A. OF ENUGU STATE: WORK-FAMILY ROLE CONFLICT by NDUBUISI ONESIMUS OPARAOCHA

“…Most mothers are employed in institutions of higher learning; which Enugu State is not left out. It is against this background that this study examines the impact of work-family role conflict among working mothers in institutions of higher learning in Nsukka L.G.A. of Enugu State. …”
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Effect of a Novel Training Program in Patients With Chronic Shoulder Pain Based on Implicit Motor Learning: Pilot and Feasibility Study. by Annelies Maenhout, Wieger Heijenk, Peter Glashouwer, Lore Quatacker, Luna Praet, Dorien Borms

“…# Background Implicit motor learning has been shown to be effective for learning sports-related motor skills. …”
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FACTORS INFLUENCING ENGLISH LEARNING MOTIVATION: A STUDY OF THE PERSPECTIVES OF NON-ENGLISH MAJORS AT A PUBLIC UNIVERSITY IN HANOI, VIETNAM by Ngoc My Trinh

Subjects: “…English learning…”
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Driving Motivation in Irish Language Learning: An analysis of variation in post-primary pupil attitudes to Irish in the Growing Up in Ireland study by Emily Barnes, Joe Condon, Ann Devitt, Noel Ó Murchadha

“… This study provides a novel perspective on minority language motivation using Situated Expectancy Value Theory to examine the attitudes of post-primary students in Ireland to learning the national minority language, Irish.  The paper uses data from Growing Up in Ireland, the national longitudinal study of the well-being and development of children and young people in Ireland, to explore factors influencing young people’s motivation in relation to learning the Irish language, controlling for overall engagement with schooling.  …”
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Integration of ground-based and remote sensing data with deep learning algorithms for mapping habitats in Natura 2000 protected oak forests by Lucia Čahojová, Ivan Jarolímek, Barbora Klímová, Michal Kollár, Michaela Michalková, Karol Mikula, Aneta A. Ožvat, Denisa Slabejová, Mária Šibíková

“…This study aims to combine ground-based and remote sensing data utilising deep learning techniques to map protected forest habitats and communities within the Natura 2000 network. …”
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Involving migrants in the development of guidelines for communication in cross-cultural general practice consultations: a participatory learning and action research project by Chris van Weel, Anne MacFarlane, Maria van den Muijsenbergh, Tomas de Brún, Evelyn van Weel-Baumgarten, Mary O'Reilly-de Brún, Ekaterina Okonkwo, Jean Samuel Bonsenge Bokanga, Maria Manuela De Almeida Silva, Florence Ogbebor, Aga Mierzejewska, Lovina Nnadi

“…In this paper, we focus on findings about the use of formal versus informal interpreters because dialogues about these issues emerged as central to the identification of recommendations for best practice.Design This qualitative case study involved a Participatory Learning and Action (PLA) research methodology.Participants The sample comprised 80 stakeholders: 51 from migrant communities; 15 general practitioners (GPs) and general practice staff; 7 established migrants as peer researchers; 5 formal, trained interpreters; and 2 service planners from the national health authority.Setting Galway, Ireland.Results There was 100% consensus across stakeholder groups that while informal interpreters have uses for migrants and general practice staff, they are not considered acceptable as best practice. …”
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Penerapan Blok SE-NET Pada Deep Learning Inceptionv3 untuk Meningkatkan Deteksi Penyakit Mpox pada Manusia by M. Bakhara Alief Rachman, Aliyah Kurniasih, Andika Sundawijaya, Ahlijati Nuraminah

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Predicting hydropower generation: A comparative analysis of Machine learning models and optimization algorithms for enhanced forecasting accuracy and operational efficiency by Chunyang Wang, Chao Li, Yudong Feng, Shoufeng Wang

“…Optimizing hydropower generation is crucial for addressing economic and environmental concerns, though it requires comprehensive monitoring and understanding of energy conversion processes. Machine Learning techniques such as integrated Gradient Boosting and Categorical Gradient Boosting, optimized with Hunger Games search, Chaos game optimization, and Archimedes Optimization Algorithm algorithms, are used to forecast and optimize hydropower generation. …”
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Estimating the Pile Settlement Using a Machine Learning Technique Optimized by Henry's Gas Solubility Optimization and Particle Swarm Optimization by Saravana Kumar, Savarimuthu Robinson

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PENERAPAN ASESMEN REPRESENTASI MELALUI PENDEKATAN STUDENT CENTERED LEARNING (SCL) UNTUK MENINGKATKAN PENGUASAAN KONSEP DAN KEMAMPUAN PSIKOMOTOR by Rosane Medriati, Eko Risdianto

“…keywords: representation assessment , student centered learning, concept mastering, psychomotor skills …”
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A machine learning framework for exploring the relationship between supply chain management best practices and agility, risk management, and performance by Tyler Ward, Sam Khoury, Selva Staub, Kouroush Jenab

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Automatic Detection and Classification of Eye Diseases from Retinal Images Using Deep Learning: A Comprehensive Research on the ODIR Dataset by Asadi Srinivasulu, Clement Varaprasad Karu, G Sreenivasulu, Gayathri R

“…Existing approaches include machine learning, filtering-based, and model-based methods. …”
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