Efektivitas Pemanfaatan Cyberspace dalam Penguatan Moderasi Beragama di Kalangan Mahasiswa Perguruan Tinggi Keagamaan Islam Swasta by Efi Tri Astuti

“…Platforms such as Zoom, Instagram, YouTube, and WhatsApp facilitated interactive learning through videos, infographics, and discussions. …”
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CR-DEQ-SAR: A Deep Equilibrium Sparse SAR Imaging Method for Compound Regularization by Guoru Zhou, Yixin Zuo, Zhe Zhang, Bingchen Zhang, Yirong Wu

“…The experimental results show that the proposed method outperforms existing deep learning-based SAR imaging methods regarding reconstruction performance and memory usage.…”
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LASSO–MOGAT: a multi-omics graph attention framework for cancer classification by Fadi Alharbi, Aleksandar Vakanski, Murtada K. Elbashir, Mohanad Mohammed

“… The application of machine learning (ML) methods to analyze changes in gene expression patterns has recently emerged as a powerful approach in cancer research, enhancing our understanding of the molecular mechanisms underpinning cancer development and progression. …”
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GA-Attention-Fuzzy-Stock-Net: An optimized neuro-fuzzy system for stock market price prediction with genetic algorithm and attention mechanism by Burak Gülmez

“…Genetic algorithms optimize the hyperparameters, including learning rates and network architectures, while the attention mechanism enhances the model's ability to focus on relevant temporal patterns. …”
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Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence by Yi-Ming Chen, Tzu-Hung Hsiao, Ching-Heng Lin, Yang C. Fann

“…Deep learning techniques have significantly advanced variant calling, pathogenicity prediction, splicing analysis, and MHC-peptide binding predictions in genetics. …”
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Obraz edukacji wczesnoszkolnej w wypowiedziach nauczycieli edukacji przedmiotowej by Józefa Bałachowicz, Monika Kupiec

“…The dominant teaching discourse reveals the depreciation of the child’s previous experience related to the conditions of early school education, e.g. one teacher, active learning and teaching methods, descriptive assessment; and thus strengthens the obviousness of the hardships and failures of the Fourth graders that have always been experienced. …”
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Leveraging time-based spectral data from UAV imagery for enhanced detection of broomrape in sunflower by Guy Atsmon, Anna Brook, Tom Avikasis Cohen, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati

“…These VIs, reflecting changes in canopy reflectance over time, were then analyzed using various machine learning models, including a pattern recognition neural network (PRNN). …”
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Feature selection in single-cell RNA sequencing data: a comprehensive evaluation by Petros Paplomatas, Konstantinos Lazaros, Georgios N. Dimitrakopoulos, Aristidis Vrahatis

“…We developed the GenesRanking package, which offers 20 techniques for dimensionality reduction, including filter-based and embedding machine learning–based methods. By integrating feature selection methods from both statistics and machine learning, we provide a robust framework for improving data interpretation. …”
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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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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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XTNSR: Xception-based transformer network for single image super resolution by Jagrati Talreja, Supavadee Aramvith, Takao Onoye

“…Abstract Single image super resolution has significantly advanced by utilizing transformers-based deep learning algorithms. However, challenges still need to be addressed in handling grid-like image patches with higher computational demands and addressing issues like over-smoothing in visual patches. …”
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The effectiveness of virtual journal clubs on evidence-based practices application by Beth Elenko

“…Engaging students in VJCs provides them with opportunities to explore and apply learned skills independently and collaboratively, aligning with contemporary learning preferences.   …”
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The Use of Neural Networks in the Diagnosis of Heart Failure Via the Analysis of Medical Data by Valentino Blanco, Aitana Iglesias

“…The three models, namely "k-means, support vector machine, and neural network," are extensively used classification methods in the domains of data mining and machine learning. These models have been applied to forecast cardiac disease, and their predictive performance has been evaluated and compared. …”
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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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Accelerating charge estimation in molecular dynamics simulations using physics-informed neural networks: corrosion applications by Aditya Venkatraman, Mark A. Wilson, David Montes de Oca Zapiain

“…To address this, we develop reduced-order machine learning models that provide accurate and efficient predictions of charge density in corrosive environments. …”
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A molecular basis for spine color morphs in the sea urchin Lytechinus variegatus by Maria Wise, Madison Silvia, Gerardo Reyes, Rushane Dunn, Thomas M. Onorato, Cosmo Pieplow, Aidan Furze, El Hebert, Nathalie Oulhen, Dan Ritschoff, David R. McClay, Gary Wessel

“…Through genetic crosses we learned that white is dominant over red and green colors, and that pigmentation follows classic Mendelian genetics. …”
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Effect of Supervision on Employee Performance in Uganda: A Case Study of Shuuku Savings Cooperative SACCO in Sheema District. by Ayesiime, Peninah

“…The research findings show that Supervision also helps administrators in learning on new ways of how to do things, supervision helps in providing a gap within the employee performance, and therefore after that gap has been realised it will promote learning in the SACCO. …”
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Innovative Teaching Strategies and Performance of Agriculture Subject in Uganda’s Secondary Schools: A Case Study of Kabale Municipality. by Byomuhangi, Nelson

“…The study revealed that out of the strategies such as tours and trips, the use of demonstrations in class and transferring theory into practice made the learning of agriculture subjects attractive and interesting for learners. …”
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Effective Application of 4th Industrial Revolution Technologies During Engineering Research and Teaching in Ugandan Universities by Isaac, Ndawula, Dianah, Asiimwe, Samuel, S. Mushakangoma, Pascal Musaazi, Senkindu

“…Recently several research on 4IR technologies in higher institutions of learning has been presented, but none is addressing the issue of availability of effective utilization of 4IR technologies in engineering education. …”
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The Trading Game (T-Game) by John J. VanSickle, Amir Drusbosky

“… The Trading Game (T-Game) program is a tool to help students and industry practitioners learn more about trading commodities on the futures exchanges. …”
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