Neural Density Functional Theory of Liquid-Gas Phase Coexistence by Florian Sammüller, Matthias Schmidt, Robert Evans

“…We use supervised machine learning together with the concepts of classical density functional theory to investigate the effects of interparticle attraction on the pair structure, thermodynamics, bulk liquid-gas coexistence, and associated interfacial phenomena in many-body systems. …”
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Support Vector Machine – Recursive Feature Elimination for Feature Selection on Multi-omics Lung Cancer Data by Nuraina Syaza Azman, Azurah A Samah, Ji Tong Lin, Hairudin Abdul Majid, Zuraini Ali Shah, Nies Hui Wen, Chan Weng Howe

“…The study concludes that a fine-tuned supervised learning VAE model has better capability in classification tasks compared to SDAE models for this specific study. …”
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An Artificial Intelligent Virtual Reality Interactive Model for Distance Education by Wenjing Yin

“…This finding shows that they learn best when they receive information in a style that incorporates visual, auditory, and kinetic stimuli so that learning improves when learners can examine an idea or concept using a multidimensional approach.…”
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Sequence Analysis-Enhanced AI: Transforming Interactive E-Book Data into Educational Insights for Teachers by Yaroslav Opanasenko, Emanuele Bardone, Margus Pedaste, Leo Aleksander Siiman

“…Potential areas of development, such as integrating personalized learning statistics, enhancing visualizations and reports for individual progress and mitigating AI hallucinations by expanding training data, are described.…”
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Islamic boarding schools and human rights enforcement transmission of cultural values for disabilities by Suwarno Suwarno, Uswatun Chasanah

“…These three cultural transmissions are carried out in the educational process at Islamic boarding schools for 24 hours through theological understanding and translating at the practical level in the form of self-accustoming, exemplary, formal and informal learning, and life skills activities for students in Islamic boarding schools.…”
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Deep weighted survival neural networks to survival risk prediction by Hui Yu, Qingyong Wang, Xiaobo Zhou, Lichuan Gu, Zihao Zhao

“…Incorporating diversity into the goal of multiple learning models can help minimize bias and improve learning outcomes. …”
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Instrument for the evaluation of education at work in the Comprehensive Attention to the Population subject by Ana Gloria Vázquez De León, Alfredo Alberto Espinosa Roca, Lisgrace Llano Arana, Yoel González Beriau, Annia Lourdes González Armenteros, Dailys García Morales

“…<br /><strong>Objective:</strong> to propose an instrument to evaluate the students` learning in the education at work of the Comprehensive Attention to the Population subject, that is taught in the fifth year of the Stomatology career.…”
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Training of future primary school and computer science teachers in the structure of information systems by O. Ihnatenko, V. Tolmachov, A. Ryabko

“…The conclusions of this study state that the methodological recommendations for the organisation of practical classes in the course provide pedagogical support to teachers and contribute to the creation of a favourable learning and cognitive atmosphere during training. …”
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A Review of Characterization Approaches for Smallholder Farmers: Towards Predictive Farm Typologies by Devotha G. Nyambo, Edith T. Luhanga, Zaipuna Q. Yonah

“…Characterization of smallholder farmers has been conducted in various researches by using machine learning algorithms, participatory and expert-based methods. …”
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Constructing Attention-LSTM-VAE Power Load Model Based on Multiple Features by Chaoyue Ma, Ying Wang, Feng Li, Huiyan Zhang, Yong Zhang, Haiyan Zhang

“…Therefore, the performance of the Attention-LSTM-VAE model is better than the general deep learning load models, which has important reference for the research of power load models. …”
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Leveraging an Enhanced CodeBERT-Based Model for Multiclass Software Defect Prediction via Defect Classification by Rida Ghafoor Hussain, Kin-Choong Yow, Marco Gori

“…In this context, machine learning-driven methods, especially those leveraging natural language models, have gained significant traction for developing effective techniques. …”
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Navigating materials adaptation: English teachers’ experiences in Turkish secondary schools by Müzeyyen Nazlı Güngör, David Read, Mustafa Akın Güngör

“…Teachers often adapt materials to create more effective learning experiences due to the unique characteristics of each classroom, considering varying student backgrounds and needs. …”
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A systematic review of the utility of assistive technologies for SEND students in schools by Kaussar Mukhtarkyzy, Laura Smagulova, Ainur Tokzhigitova, Nurgul Serikbayeva, Olzhas Sayakov, Asset Turkmenbayev, Rakhila Assilbayeva

“…The systematic review investigates the effect of various educational technologies on the learning outcomes of diverse student populations, particularly focusing on assistive technology interventions for students with disabilities. …”
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Factors shaping situated willingness to communicate: A multidimensional perspective in the Indonesian EFL context by Suci Nugrah Amalia, Utami Widiati, Sri Rachmajanti, Mirjam Anugerahwati, Budi Waluyo

“…This could lead to more effective and engaging language learning experiences, resulting in increased WTC in the target language. …”
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Sinus of Valsalva Aneurysm Rupture: An Unusual Presentation of Chromosome 22q11.2 Deletion: A Case Report by Eda-Cristina Abuchaibe, Nancy Dobrolet, Katherine Peicher, Roque Ventura, Elizabeth Welch

“…Despite dysmorphic facial features and a learning disability, our patient had not been diagnosed with the chromosome abnormality. …”
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The Concept of Teaching Russian History at University: from Project to Implementation by N. L. Rosina, M. A. Rosina

“…The tasks of the teacher as the organizer of the learning situation in learning based on the knowledge of the individual characteristics of students and ways to optimize their personal development on the basis of history are revealed. …”
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Settlement Prediction of Foundation Pit Excavation Based on the GWO-ELM Model considering Different States of Influence by Qiao Shi-fan, Tan Jun-kun, Zhang Yong-gang, Wan Li-jun, Zhang Ming-fei, Tang Jun, He Qing

“…This paper proposes a novel grey wolf optimization-extreme learning machine model, namely, the GWO-ELM model, to train and predict the ground subsidence by combining the extreme learning machine with the grey wolf optimization algorithm. …”
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From Bench to Brain: A Metadata-driven Approach to Research Data Management in a Collaborative Neuroscientific Research Center by Marlene Pacharra, Tobias Otto, Nina Olivia Caroline Winter

“…The development of the metadata schema and its subsequent use are illustrated with particular emphasis on design principles that allow for reuse in other RDM domains and the lessons learned.…”
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Ensemble Methods with Voting Protocols Exhibit Superior Performance for Predicting Cancer Clinical Endpoints and Providing More Complete Coverage of Disease-Related Genes by Runyu Jing, Yu Liang, Yi Ran, Shengzhong Feng, Yanjie Wei, Li He

“…Our findings indicated that the ensemble methodologies are more reliable for predicting cancer prognoses than single machine learning algorithms as well as for gene function evaluating. …”
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Pendidikan karakter peduli lingkungan melalui pembelajaran ilmu pengetahuan alam (IPA) di madrasah ibtidaiyah by Mia Septiani Hasibuan, Sapri Sapri

“…Pembelajaran dengan metode yang tepat, seperti Outdoor study, penggunaan media pembelajaran video, dan penerapan model pembelajaran seperti Project-Based Learning (PjBL) dan Contextual Teaching Learning (CTL) dalam pembelajaran IPA, dapat meningkatkan pemahaman siswa terhadap materi pelajaran pentingnya lingkungan dan mengembangkan karakter peduli lingkungan pada siswa kelas di MIN 3 Kota Tanjungbalai. …”
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