Metacognitive practices in training for essay writing in a target language by S. Volkov

“…Despite its generalizing application, the model structure (personality – task – strategies at the level of cognitive and metacognitive thinking – teacher/peer student/group) limits the metacognitive practices functioning to strategic goals or attitudes aimed at cognition regulation. …”
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AEGAN-Pathifier: a data augmentation method to improve cancer classification for imbalanced gene expression data by Qiaosheng Zhang, Yalong Wei, Jie Hou, Hongpeng Li, Zhaoman Zhong

“…This data augmentation approach, referred to as AEGAN-Pathifier, not only preserves the biological functionality of the data but also possesses dimensional reduction capabilities. …”
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Analysis of Football Pitch Performances Based on Different Cutting Systems: From Visual Evaluation to YOLOv8 by Sofia Matilde Luglio, Christian Frasconi, Lorenzo Gagliardi, Michele Raffaelli, Andrea Peruzzi, Marco Volterrani, Simone Magni, Marco Fontanelli

“…This study examines the effect of two different cutting systems, a traditional ride-on mower and an autonomous mower, on the quality and functional parameters of a municipal football field. …”
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Structured Comparison Approach in Remote Interprofessional Education: Enhancing Role Clarity and Collaborative Identity Through Video-Based Reflection by Ysuhisa Nakamura, Kazuko Ando, Kyoko Otani, Mayumi Yoshikawa, Ayako Furuzawa

“…In the first session, the students independently assessed a video case using the International Classification of Functioning, Disability and Health (ICF) core sets. …”
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Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection by Ali Nizam, Ertugrul Islamoglu, Omer Kerem Adali, Musa Aydin

“…A triplet loss-based deep learning network is designed to optimize in-class similarity and increase the distance between classes. …”
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Identifying potential biomarkers and molecular mechanisms related to arachidonic acid metabolism in vitiligo by Xiaoqing Li, Xiaoqing Li, Li Yang, Longfei Zhu, Jingying Sun, Jingying Sun, Cuixiang Xu, Cuixiang Xu, Lijun Sun, Lijun Sun

“…A nomogram based on these biomarkers showed potential for predicting the risk of vitiligo. Functional enrichment, immune cell infiltration, and regulatory network analyses were used to elucidate the molecular mechanisms.ConclusionIn conclusion, PTGDS, PNPLA8, and MGLL were implicated in AAM to influence the pathogenesis of vitiligo. …”
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Development of in silico models to predict viscosity and mouse clearance using a comprehensive analytical data set collected on 83 scaffold-consistent monoclonal antibodies by Marissa Mock, Alex W. Jacobitz, Christopher James Langmead, Athena Sudom, Daniel Yoo, Sara C. Humphreys, Mai Alday, Larysa Alekseychyk, Nicolas Angell, Vivian Bi, Hannah Catterall, Chen-Chun Chen, Hui-Ting Chou, Kip P. Conner, Kevin D. Cook, Ana R. Correia, Andrew Dykstra, Sudipa Ghimire-Rijal, Kevin Graham, Peter Grandsard, Joon Huh, John O. Hui, Mani Jain, Victoria Jann, Lei Jia, Sheree Johnstone, Neelam Khanal, Carl Kolvenbach, Linda Narhi, Rupa Padaki, Emma M. Pelegri-O’Day, Wei Qi, Vladimir Razinkov, Austin J. Rice, Richard Smith, Christopher Spahr, Jennitte Stevens, Yax Sun, Veena A. Thomas, Sarah van Driesche, Robert Vernon, Victoria Wagner, Kenneth W. Walker, Yangjie Wei, Dwight Winters, Melissa Yang, Iain D. G. Campuzano

“…Biologic drug discovery pipelines are designed to deliver protein therapeutics that have exquisite functional potency and selectivity while also manifesting biophysical characteristics suitable for manufacturing, storage, and convenient administration to patients. …”
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Transforming biomass into engineered biochar materials for high-performance supercapacitors: Recent advances, challenges, and prospects by Ruibo FAN, Liang CHEN, Beichen XUE, Ao WANG, Yinhai SU, Huiyan ZHANG, Xiangzhou YUAN

“…Engineering biochar not only has natural advantages such as renewability, cost-effectiveness, and environmental-friendliness but also possesses well-developed properties, including pore structure, functional group, and cyclic stability. Therefore, numerous investigations have been conducted to develop high-performance engineered biochar-based supercapacitors. …”
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Integrative analysis of epigenetic and transcriptional interrelations identifies histotype-specific biomarkers in early-stage ovarian carcinoma by Hugo Swenson, Ella Ittner, Lucas Werner, Elisabeth Werner Rönnerman, Claudia Mateoiu, Anikó Kovács, Pernilla Dahm-Kähler, Ghassan M. Saed, Szilárd Nemes, Per Karlsson, Toshima Z. Parris, Khalil Helou

“…Hierarchical clustering and predictive machine learning modeling were employed to assess the performance of the histotype-specific biomarkers using four external cohorts. …”
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An optimized spatial target trajectory prediction model for multi-sensor data fusion in air traffic management by Jian Dong, Yuan Xu, Rigeng Wu, Chengwang Xiao

“…Furthermore, the ablation studies elucidate the functional disparities among various network architectures. …”
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Development of psychological and educational aspects of interaction between medical workers and patients by T. V. Ryabova, A. A. Mutigullina

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Sleep stages classification based on feature extraction from music of brain by Hamidreza Jalali, Majid Pouladian, Ali Motie Nasrabadi, Azin Movahed

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Predicting gene expression changes upon epigenomic drug treatment [version 3; peer review: 4 approved, 2 not approved] by Monjura Afrin Rumi, Vishaka Gopalan, Sridhar Hannenhalli, Piyush Agrawal

“…Background Tumors are characterized by global changes in epigenetic modifications such as DNA methylation and histone modifications that are functionally linked to tumor progression. Accordingly, several drugs targeting the epigenome have been proposed for cancer therapy, notably, histone deacetylase inhibitors (HDACi) such as vorinostat and DNA methyltransferase inhibitors (DNMTi) such as zebularine. …”
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Fate-tox: fragment attention transformer for E(3)-equivariant multi-organ toxicity prediction by Sumin Ha, Dongmin Bang, Sun Kim

“…To address these challenges with multiple strategies, we developed FATE-Tox, a novel multi-view deep learning framework for multi-organ toxicity prediction. …”
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Technologies in Inclusive Education: Solution or Challenge? A Systematic Review by Mariela Verónica Samaniego López, Monserrat Catalina Orrego Riofrío, Santiago Fabián Barriga-Fray, Bertha Susana Paz Viteri

“…Technology plays a crucial role in this endeavor by providing tools that eliminate barriers, personalize learning, and foster active participation, especially for students with functional diversity or specific needs. …”
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Dual-level graph contrastive collaborative filtering by Jiahao Wang, Qingshuai Wang, Kai Ma, Noor Farizah Ibrahim, Zurinahni Zainol

“…Finally, DL-GCL employs a multi-task learning strategy to optimize local-global views and BPR (Bayesian Personalized Ranking) loss functions. …”
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AttentionEP: Predicting essential proteins via fusion of multiscale features by attention mechanisms by Chuanyan Wu, Bentao Lin, Jialin Zhang, Rui Gao, Rui Song, Zhi-Ping Liu

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Non-Destructive Monitoring of External Quality of Date Palm Fruit (<i>Phoenix dactylifera</i> L.) During Frozen Storage Using Digital Camera and Flatbed Scanner by Younes Noutfia, Ewa Ropelewska, Zbigniew Jóźwiak, Krzysztof Rutkowski

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Estimating the Significance of Computer Model Factors Based on a Simple Neural Network by Volodymyr Pepelyaev, Nataliia Oriekhova, Ihor Lukyanov

“…Such an increase in dimensionality not only significantly complicates the implementation of computer experiments, but can also have a significant impact on the understanding of the interaction of important factors that determine the basis and essence of the functioning of a complex system. Therefore, it is no less important for further model research, and especially for the optimization of a complex system, to determine insignificant factors. …”
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ProbC: joint modeling of epigenome and transcriptome effects in 3D genome by Emre Sefer

“…An emerging question is whether it is possible to deduce 3D genome characteristics and interactions by integrative analysis of multiple chromatin marks and associate interactions to functionality of the interacting loci. Result We come up with a probabilistic method ProbC to decompose Hi-C and Micro-C interactions by known chromatin marks. …”
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