Enhancing depression recognition through a mixed expert model by integrating speaker-related and emotion-related features by Weitong Guo, Qian He, Ziyu Lin, Xiaolong Bu, Ziyang Wang, Dong Li, Hongwu Yang

“…We then apply transfer learning to extract both features from a depression dataset, followed by fusion. …”
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Gender similarities in high school mathematics: affective and cognitive aspects by Negasi Hagos Tekola, Dawit Asrat Getahun, Hailu Hagos

“…The findings can be practically used to realize successful high school mathematics teaching-learning by selecting student outcomes, designing teacher and school manager training programs, and developing curricular materials in line with the findings. …”
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MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia by Haiyuan Wang, Runlin Peng, Yuanyuan Huang, Liqin Liang, Wei Wang, Baoyuan Zhu, Chenyang Gao, Minxin Guo, Jing Zhou, Hehua Li, Xiaobo Li, Yuping Ning, Fengchun Wu, Kai Wu

“…The methodology of machine learning with multi-omics data has been widely adopted in the discriminative analyses of schizophrenia, but most of these studies ignored the cooperative interactions and topological attributes of multi-omics networks. …”
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THE USE OF GAMIFICATION IN THE PREVENTION OF DYSLEXIA OF CHILDREN IN PRESCHOOL AGE by Hanna Mytsyk, Alona Babichenko

“…An algorithm for creating a game mechanism, criteria for selecting digital learning platforms, and developing games based on them are proposed. …”
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Digital mental health treatment implementation playbook: successful practices from implementation experiences in American healthcare organizations by David C. Mohr, David C. Mohr, Alexandra L. Silverman, Alexandra L. Silverman, Soo Jeong Youn, Soo Jeong Youn, Soo Jeong Youn, Patricia Areán, Andrew Bertagnolli, Jenna Carl, Tarolyn Carlton, Neha Chaudhary, David Cooper, Shelly DeVito, Stephanie Eaneff, Megan Flom, Valerie L. Forman-Hoffman, Leanna Fortunato, Karen Franchino, Andrea K. Graham, Heidi Greenberger, Jessica Hauflaire, Benjamin Kaveladze, Rachel Kornfield, Kaylee P. Kruzan, Eric Kuhn, Eric Kuhn, Carolyn MacIver, Frederick Muench, Regina Misch, Adrian Ortega, Lisa Palko, Derek Richards, Derek Richards, Louisa Salhi, Jonathan Schremp, Eva Szigethy, Eva Szigethy, Nathan Tatro, Bethany A. Teachman, Bethany A. Teachman, Trina Histon

“…This slows progress, as experiences and learnings are siloed within each organization, hindering or preventing learning across implementations and slowing the progress. …”
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Optimalisasi Hyper Parameter Convolutional Neural Networks Menggunakan Ant Colony Optimization by Fian Yulio Santoso, Eko Sediyono, Hindriyanto Dwi Purnomo

“…Salah satu metode tersebut menggabungkan convolutional neural networks (CNN) dengan deep learning, tetapi hyperparameter, seperti fungsi loss, fungsi aktivasi, dan optimizers, memengaruhi kinerjanya. …”
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ENRICHING CLASSROOMS WITH TECHNOLOGY: EFFECTIVENESS OF ICT INTEGRATION IN TEACHING AGRICULTURAL SCIENCE IN SENIOR SECONDARY SCHOOLS IN BENUE STATE by GBEYONGU FREDERICK TERKIMBI, AKAA CHARITY WANGER, ONU DEBORAH OGBENE

“…Findings revealed amongst others that ICT devises if used in Agricultural Science instruction in teaching learning process, will boost learner’s performances, makes learning more interesting and enhances student’s retention abilities. …”
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An efficient interpretable framework for unsupervised low, very low and extreme birth weight detection. by Ali Nawaz, Amir Ahmad, Shehroz S Khan, Mohammad Mehedy Masud, Nadirah Ghenimi, Luai A Ahmed

“…While traditional approaches to managing class imbalance require labeled data, our study explores the use of unsupervised learning to detect anomalies indicative of low birth weight scenarios. …”
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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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Temperature and Humidity Monitoring in Hydroponic Cultivation Based on Internet of Things: Dataset Development for Smart Agriculture by Simon Prananta Barus, Jeriko Ichtus Seo

“…Further research will integrate more monitoring parameters, conduct direct hydroponic cultivation trials, and apply artificial intelligence such as machine learning and deep learning to improve efficiency and effectiveness in hydroponic cultivation.…”
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Six Sigma Approach to Developing a Microgrid Station for Research and Teaching by Gabriel Nasser Doyle de Doile, Miguel Castilla, Pedro Paulo Balestrassi, Antonio Carlos Zambroni de Souza, Jaume Miret

“…The conclusion of this paper highlights the benefits of using the DFSS conceptual methodology to develop a microgrid station for research and teaching, such as adaptation to educational needs; enhancement of the learning experience; refutation of experimental errors; cost-effective, flexible, and modular design; collaborative learning environment; data-driven teaching; and continuous improvement. …”
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ISLRWR: A network diffusion algorithm for drug-target interactions prediction. by Lu Sun, Zhixiang Yin, Lin Lu

“…Machine learning techniques and computer-aided methods are now widely used in the pre-discovery tasks of drug discovery, effectively improving the efficiency of drug development and reducing the workload and cost. …”
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Functional feature extraction and validation from twelve-lead electrocardiograms to identify atrial fibrillation by Wei Yang, Rajat Deo, Wensheng Guo

“…Abstract Background Deep learning methods on standard, 12-lead electrocardiograms (ECG) have resulted in the ability to identify individuals at high-risk for the development of atrial fibrillation. …”
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Comparative analysis of the DCNN and HFCNN Based Computerized detection of liver cancer by Sandeep Dwarkanth Pande, Pala Kalyani, S Nagendram, Ala Saleh Alluhaidan, G Harish Babu, Sk Hasane Ahammad, Vivek Kumar Pandey, G Sridevi, Abhinav Kumar, Ebenezer Bonyah

“…Researchers have explored numerous machine learning (ML) techniques and deep learning (DL) approaches aimed at the automated recognition of liver disease by analysing computed tomography (CT) images. …”
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Traditional Chinese Medicine Prescription Generation Model Based on Search Enhancement by ZHAO Zijuan, REN Xueting, SONG Kai, QIANG Yan, ZHAO Juanjuan, ZHANG Junlong

“…Although there is a small part of research in this field, transfer learning methods are usually used to apply relevant technology of text generation to this task simply and roughly. …”
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Challenges and Marketing Strategies for Young African Universities by George Stanley, Kinyata, Siraje, Kaaya

“…This article spells out these challenges, threats and strategies to continuously improve their programs, teaching, and provision of learning facilities and to find the right way to the Black Box of the consumer (students and other stakeholders). …”
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Role of In-service Teacher Training as a Tool for the Student’s Performance in Selected Public Secondary Schools in Kisoro District by Ponsiano, Mugarura, Fredrick, Ssempala, Sarah, Nachuha

“…During this period, the school can hire part-time teachers so that normal learning is not disrupted. It’s important to appreciate that continual professional development gives teacher’s time to learn and implement new strategies.…”
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cigFacies: a massive-scale benchmark dataset of seismic facies and its application by H. Gao, X. Wu, X. Sun, M. Hou, M. Hou, H. Gao, G. Wang, H. Sheng

“…However, unlike the CV domain, the field of seismic exploration lacks a comprehensive benchmark dataset for seismic facies, severely limiting the development, application, and evaluation of deep-learning approaches in seismic facies classification. …”
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Neuropsychological morbidity in the First Seizure Clinic: Prominent mood symptoms and memory issues in epilepsy by Remy Pugh, David N. Vaughan, Graeme D. Jackson, Jennie Ponsford, Chris Tailby

“…Results People with epilepsy were most likely to show cognitive impairments, particularly in learning and memory, with performances worse than all other FSC groups (F [3127] = 2.44, p = 0.03). …”
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PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF DENGAN MENGGUNAKAN ADOBE CAPTIVATE PADA MATERI GERAK HARMONIK SEDERHANA by Ramadhanty Mashama Putri, Eko Risdianto, Nyoman Rohadi

“…Kata Kunci: Penelitian Pengembangan, Media, Adobe Captivate, Gerak Harmonik Sederhana This study aims to develop an interactive learning media by using Adobe Captivate on simple harmonic motion. …”
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