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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Una herramienta para la gestión y el gobierno integrales del aprehendizaje universitario en entornos Active Learning by Rafael Alé-Ruiz, David H. Earle

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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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Learning from our vulnerabilities: Insights from Octavia E. Butler’s parable of the sower and West Sumatra’s 2024 flood disasters by Sandika Edria, Rizano Gindho, Yeni Marliza

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Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016–2019 by Jenberu Mekurianew Kelkay, Deje Sendek Anteneh, Henok Dessie Wubneh, Abraham Dessie Gessesse, Gebeyehu Fassil Gebeyehu, Kalkidan Kassahun Aweke, Mikiyas Birhanu Ejigu, Mathias Amare Sendeku, Kirubel Adrissie Barkneh, Hasset Girma Demissie, Wubshet D. Negash, Birku Getie Mihret

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A joint three-plane physics-constrained deep learning based polynomial fitting approach for MR electrical properties tomography by Kyu-Jin Jung, Thierry G. Meerbothe, Chuanjiang Cui, Mina Park, Cornelis A.T. van den Berg, Stefano Mandija, Dong-Hyun Kim

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Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder by Yilu Zhao, Zhao Fu, Eric J. Barnett, Ning Wang, Kangfuxi Zhang, Xuping Gao, Xiangyu Zheng, Junbin Tian, Hui Zhang, XueTong Ding, Shaoxian Li, Shuyu Li, Qingjiu Cao, Suhua Chang, Yufeng Wang, Stephen V. Faraone, Li Yang

“…The current study employed a comprehensive approach, combining genome-wide association analyses (GWAS) and deep learning (DL) methods, to elucidate the genetic underpinnings of pharmacological treatment response in ADHD. …”
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Teachers' perceptions, attitudes, and acceptance of artificial intelligence (AI) educational learning tools: An exploratory study on AI literacy for young students by Iris Heung Yue Yim, Rupert Wegerif

Subjects: “…AI educational learning tools and platforms…”
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A Novel Spatio–Temporal Deep Learning Vehicle Turns Detection Scheme Using GPS-Only Data by Mussadiq Abdul Rahim, Sultan Daud Khan, Salabat Khan, Muhammad Rashid, Rafi Ullah, Hanan Tariq, Stanislaw Czapp

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Multiple machine learning-based integrations of multi-omics data to identify molecular subtypes and construct a prognostic model for HNSCC by Xiaoqin Luo, Chao Li, Gang Qin

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