MultiGNN: A Graph Neural Network Framework for Inferring Gene Regulatory Networks from Single-Cell Multi-Omics Data by Dongbo Liu, Hao Chen, Jianxin Wang, Yeru Wang

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Model of recreational and training sessions based on the use of funds aqua professionally applied in the preparation of students of economics by N. V. Petrenko, T. A. Loza

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Transformer-Based Downside Risk Forecasting: A Data-Driven Approach with Realized Downward Semi-Variance by Yuping Song, Yuetong Zhang, Po Ning, Jiayi Peng, Chunyu Kao, Liang Hao

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Un printemps arabe ? L’émulation protestataire et ses limites by Michel Camau

“…We attempted to address those issues based on the idea of crisis of legitimacy as a criterion of differentiation between the “Arab revolutions”, and of pluralistic ignorance with regard to the unclear preferences of those in authority positions and finally of the rulers’ learning in relation to their methods of prevention and management of crises of legitimacy.…”
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A File-Statement Approach for Bug Localization: Optimizing IRBL and Combination Strategy by Zhonghao Guo, Xinyue Xu, Xiangxian Chen, Chenge Geng

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LHPE-nets: A lightweight 2D and 3D human pose estimation model with well-structural deep networks and multi-view pose sample simplification method. by Hao Wang, Ming-Hui Sun, Hao Zhang, Li-Yan Dong

“…The cross-view 3D human pose estimation model has made significant progress, it better completed the task of human joint positioning and skeleton modeling in 3D through multi-view fusion method. …”
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Medical Image Segmentation Algorithm Based on Optimized Convolutional Neural Network-Adaptive Dropout Depth Calculation by Feng-Ping An, Jun-e Liu

“…Traditional machine learning methods have achieved certain beneficial effects in medical image segmentation, but they have problems such as low classification accuracy and poor robustness. …”
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Contribution of A.V. Zaporozhets and L.A. Venger to the Solution of Methodological Issues in Child and General Psychology by Nikolay E. Veraksa

“…Venger in the analysis of three problems: the role of assimilation in perception, the transformation of the non-mental into the mental, and the relationship between learning and development. Methods. The work is of a theoretical nature. …”
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Entrepreneurship in Medical Education: Evaluation of the Entrepreneurship in Healthcare Seminar Series by Amanda Mac, Hayley McKee, Michael Balas, Aazad Abbas, Aida Ahrari, Pawandeep Sandhu, Dante Morra, Sarah McClennan, Alison Freeland

“…Physicians are ideally positioned to create sustainable healthcare innovations. …”
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’[We] learned how to speak with love’: a qualitative exploration of accredited social health activist (ASHA) community health worker experiences of the Mobile Academy refresher tra... by Amnesty Elizabeth LeFevre, Kerry Scott, Sara Chamberlain, Osama Ummer, Manjula Sharma, Dipanwita Gharai, Bibha Mishra, Namrata Choudhury

“…Introduction Mobile Academy is a mobile-based training course for India’s accredited social health activist (ASHA) community health workers (CHW). …”
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Elevator fault precursor prediction based on improved LSTM-AE algorithm and TSO-VMD denoising technique. by Hao Cao, Xiaoyan Du

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The effect of strategic orientation on performance of agribusiness firms in Ethiopia: the mediating role of innovation capability by Aregu Asmare Hailu, Chalchissa Amentie Kero, Zinashbizu Lemma Dagne

“…A stratified random sampling method was employed to select sample firms. Hypotheses were tested using a covariance-based structural equation modeling approach. …”
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Investigating the Relationship between Images and Text in First Grade Arabic Textbooks Based on the "Warsh and Mite" Classification by Amin Nazari Terizi, Fazllolah Mirghaderi

“…Many researchers in the field of education pay close attention to the coherence between the images and the texts of the book because the more the relationship and coherence between images and text increase, the better the level of teaching and learning process will be. Therefore, the aim of the present study is to investigate the relationship between images and text of first grade Arabic textbooks based on three levels of "Warsh and Mite" classification. …”
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Implementation of hybrid simulation training to promote collective and self-efficacy in medical students: a two-pronged approach by Calvin Yuk Wang Tam, John Ian Wilzon T. Dizon, Simon Wai Ching Sin, Gloria Kai Yan Tang, Victor Yuk Wah Lai, Yvonne Yin Wong, Fraide A. Ganotice, Pauline Yeung Ng

“…Scale evaluation of Perceived Collective Efficacy (PCE) and Motivational Strategies for Learning Questionnaire (MSLQ) revealed good scale Cronbach α scores [PCE: pretest α = 0.929; posttest α = 0.914]; [MSLQ: pretest α = 0.971.; posttest α = 0.968].Conclusion Hybrid SBT facilitated by virtual patient simulator and basic manikin provides a moderate-cost and adaptable approach which positively impacted the CE and SE of medical students. …”
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Pre-Service Teachers’ Perspectives on the Implementation of Song-Based Instruction in Teaching English to Early Childhood Learners by Danti Pudjiati, Andi Musda Mappapoleonro, Hisham Abd. Malik, Tira Nur Fitria

“…They agree that songs make learning enjoyable and improve auditory skills, aligning with existing literature on the benefits of song-based education. …”
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YOLO-DAFS: A Composite-Enhanced Underwater Object Detection Algorithm by Shengfu Luo, Chao Dong, Guixin Dong, Rongmin Chen, Bing Zheng, Ming Xiang, Peng Zhang, Zhanwei Li

“…However, underwater environments introduce challenges, such as poor lighting, high complexity, and diverse marine organism shapes, leading to missed detections or false positives in deep learning-based algorithms. To improve detection accuracy and robustness, this paper proposes an enhanced YOLOv11-based algorithm for underwater object detection that strengthens the ability to capture both local and global details and global contextual information in complex underwater environments. …”
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Inferring Travel Modes from Cellular Signaling Data Based on the Gated Recurrent Unit Neural Network by Yanchen Wang, Fei Yang, Li He, Haode Liu, Li Tan, Cheng Wang

“…Taking F score as an example, the outcome of the GRU-based method is about 6% to 7% higher than methods based on other machine learning algorithms. …”
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YOLO-WWBi: An Optimized YOLO11 Algorithm for PCB Defect Detection by Yi Zhao, Zhidi Jiang

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EDUCATIONAL ROADMAPS AS A MEANS OF STUDENT-CENTERED EDUCATION by Nikolay I. Pak, Yelena G. Doroshenko, Ludmila B. Khegai

“…The purpose of article is to justify the implementation studentcentered education based on educational roadmaps. The projective strategy to model the educational system aimed at results from the position of studentcentered education is applied in order to construct a methodical system of subject preparation of students. …”
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A qualitative study to explore mother’s experiences of a family MUAC project in two provinces in South Africa by C. Horwood, S. Luthuli, L. Haskins, S. Mapumulo, Z. Kubeka, G. Tshitaudzi

“…Mothers experienced group learning positively, and helped each other learn about MUAC measurements. …”
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