Temporal equal and active participation in synchronous collaborative learning: Antecedents and effect for learning. by Sixiong Peng, Shunsaku Komatsuzaki, Ryota Sen

“…However, learners often fail to engage in effective collaboration, which severely deteriorates learning gains. To develop support tools for collaborative learning, participation is one of the promising aspects considering its effect on learning gains and its viability for real-time measurement in modern learning environments. …”
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Strategy of the effective structure of farmers funding by Denis Y. Samygin, Nikolay G. Baryshnikov

“…The study used: data of state programs on agricultural industry during 2008-2012 and 2013–2020; analytical materials of national reports of their realization; statistical information resources of the Ministry of Agriculture of the Russian Federation; consolidated, individual financial and economic reports on agricultural producers of Penza region, which are processed by the methods of logical analytics, structural diagnostics, methodological synthesis of scientific research, the quantitative analysis and other economic-mathematical tools with the use of application programs of SPSS statistical package and mathematical Mathcad package.Results. …”
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Multi-atlas multi-modality morphometry analysis of the South Texas Alzheimer’s Disease Research Center postmortem repository by Nicolas Honnorat, Mariam Mojtabai, Karl Li, Jinqi Li, David Michael Martinez, Tanweer Rashid, Morgan Smith, Margaret E Flanagan, Elyas Fadaee, Morgan Fox Torres, Mallory Keating, Kevin Bieniek, Sudha Seshadri, Mohamad Habes

“…We hope that the new processing methods developed in this work, such as the lightweight Deep Networks we used to identify the formalin signal in multimodal MRI scans and the MRI synthesis tools we used to fix our anisotropic resolution brain scans, will inspire other research teams working with postmortem MRI scans.…”
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Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification by Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam, Mohammed Arfat Raihan Chowdhury, Md. Shamim Anower, Md. Masud Rana, Md. Shafiul Alam, Mahmudul Hasan, Md. Shohanur Islam Sobuj, Md. Babul Islam, Veerpratap Meena, Francesco Benedetto

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Observance of the Atlantic Diet in a Healthy Population from Galicia (NW Spain): A Comparative Study Using a New Scale-Based Procedure to Assess Adherence by Inés Rivas-Fernández, Paula Roade-Pérez, Marta López-Alonso, Víctor Pereira-Lestayo, Rafael Monte-Secades, Rosa Argüeso-Armesto, Carlos Herrero-Latorre

“…The ADS was compared with three existing tools and proved to be a simple, flexible, and effective method for assessing dietary adherence based on optimal intake levels across food groups. …”
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Geographical profiling of wood samples via ATR-FTIR spectroscopy and machine learning algorithms: Application in wood forensics by Suraj Garg, Akanksha Sharma, Vishal Sharma

“…Through a methodology encompassing data pre-processing, classifier selection, and performance evaluation, this research offers promising tools for combating challenges posed by illegal wood trafficking and transportation. …”
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Exploring the Impact of Artificial Intelligence in Advancing Smart Learning in Education: A Meta-Analysis with Statistical Evidence by Muhammad Younas, Iskander Ismayil, Dina Abdel Salam El-Dakhs, Behzad Anwar

“…Its objective was to measure the efficacy of AI applications in enhancing critical thinking and personalized learning. …”
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Human-Centered Artificial Intelligence in Higher Education: A Framework for Systematic Literature Reviews by Thang Le Dinh, Tran Duc Le, Sylvestre Uwizeyemungu, Claudia Pelletier

“…Results show that HCAI-driven processes can reduce time costs while preserving rigor, transparency, and user control. …”
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Tracing the scope of fear in corpus: similarities and differences in cross-domain/genre texts by Ignacio Rodríguez Sánchez, Antonio Reyes Pérez, Manuel Cebral Loureda, Ester Bautista Botello, Nohemí Lugo Rodríguez

“…For this we have made use of digital humanities tools and methods, mainly corpus linguistics and natural language processing, which enable us to explore, present and visualize linguistic elements that define fear in Mexican society. …”
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DREFNet: Deep Residual Enhanced Feature GAN for VVC Compressed Video Quality Improvement by Tanni Das, Kiho Choi

“…Different compression tools in modern video codecs are vital for minimizing artifacts that arise during the encoding and decoding processes. …”
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Level of knowledge about information searching in health professional by Ana María Molina Gómez, María Elinor Dulzaides Iglesias, Oristela Mora Rodríguez

“…<strong>Objective:</strong> to measure the level of knowledge about information searching in health professionals. …”
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Identification of innovation drivers based on technology-related news articles by Albina Latifi, David Lenz, Peter Winker

“…In a first step, natural language processing (NLP) tools are used to identify latent topics in the text corpus. …”
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The Relationship Between Statistics Anxiety And The Efl Students’ Avoidance Of Quantitative Research: Case Of Postgraduate Students Of English, At The University Of Bejaia by Siha Boughani

“… Academic research focuses essentially on empirical processes when investigating educational phenomena as it provides credible and reliable results. …”
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Research of the synergetic Effects of the Impact of Innovative and Related Macroeconomic Factors on Economic Growth by B. D. Matrizaev

“…The results show that the degree of integration of the financial system into innovation processes has a significant positive impact on the success of innovation, which is measured by patent activity. …”
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Resource Allocation in Multi-Objective Epidemic Management: An Axiomatic Analysis by Jong-Chin Huang, Kelvin H.-C. Chen, Yu-Hsien Liao

“…Recognizing the varied roles and capacities of participatory agents, we model their involvement as occurring at multiple levels, reflecting the complex decision-making processes encountered in real-world situations. To account for the unequal influence or priority of different agents and strategies, we further propose a suite of weighted allocation measures grounded in well-established theoretical principles. …”
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Theoretical Foundations of the State Regional Policy in the Context of Implementation of Anti-Crisis Management by Vasyliev Oleksii V., Huriev Vladyslav O.

“…However, the development of digital technologies and their implementation in public administration opens up new opportunities for automating regional development processes. The article outlines the main directions of the State influence on the development of regions, in particular, legislative regulation, financial support, planning and coordination of activities, investment policy, development of infrastructure, education and science, optimization of social policy, environmental measures, industrial development, information potential and international cooperation. …”
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Executive Function in Young Children: Validation of the Preschool Executive Task Assessment by Yael Fogel, Ortal Cohen Elimelech, Naomi Josman

“…Background: Executive function—the cognitive processes and abilities used to perform daily activities and solve real-world problems—is crucial for children’s development. …”
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Bead arrays for antibody and complement profiling reveal joint contribution of antibody isotypes to C3 deposition. by Burcu Ayoglu, Eszter Szarka, Krisztina Huber, Anita Orosz, Fruzsina Babos, Anna Magyar, Ferenc Hudecz, Bernadette Rojkovich, Tamás Gáti, György Nagy, Jochen M Schwenk, Gabriella Sármay, József Prechl, Peter Nilsson, Krisztián Papp

“…The development of antigen arrays has provided researchers with great tools to identify reactivities against self or foreign antigens from body fluids. …”
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Development and extensive sequencing of a broadly-consented Genome in a Bottle matched tumor-normal pair by Jennifer H. McDaniel, Vaidehi Patel, Nathan D. Olson, Hua-Jun He, Zhiyong He, Kenneth D. Cole, Alexander A. Gooden, Anthony Schmitt, Kristin Sikkink, Fritz J. Sedlazeck, Harsha Doddapaneni, Shalini N. Jhangiani, Donna M. Muzny, Marie-Claude Gingras, Heer Mehta, Sairam Behera, Luis F. Paulin, Alex R. Hastie, Hung-Chun Yu, Victor Weigman, Alison Rojas, Katie Kennedy, Jamie Remington, Isai Salas-González, Mitch Sudkamp, Kelly Wiseman, Bryan R. Lajoie, Shawn Levy, Miten Jain, Stuart Akeson, Giuseppe Narzisi, Zoe Steinsnyder, Catherine Reeves, Jennifer Shelton, Sarah B. Kingan, Christine Lambert, Primo Baybayan, Aaron M. Wenger, Ian J. McLaughlin, Aaron Adamson, Christopher Kingsley, Melanie Wescott, Young Kim, Benedict Paten, Jimin Park, Ivo Violich, Karen H. Miga, Joshua Gardner, Brandy McNulty, Gail L. Rosen, Rajiv McCoy, Francesco Brundu, Erfan Sayyari, Konrad Scheffler, Sean Truong, Severine Catreux, Lesley Chapman Hannah, Doron Lipson, Hila Benjamin, Nika Iremadze, Ilya Soifer, Gat Krieger, Stephen Eacker, Mary Wood, Erin Cross, Greg Husar, Stephen Gross, Michael Vernich, Mikhail Kolmogorov, Tanveer Ahmad, Ayse G. Keskus, Asher Bryant, Francoise Thibaud-Nissen, Jonathan Trow, Jacqueline Proszynski, Jeremy Wain Hirschberg, Krista Ryon, Christopher E. Mason, Mital S. Bhakta, J. Zachary Sanborn, Elizabeth M. Munding, Justin Wagner, Chunlin Xiao, Andrew S. Liss, Justin M. Zook

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Attentional mechanisms in light training tasks by Andria Shimi, Andria Shimi, Theofanis Kyriacou, Marios N. Avraamides, Marios N. Avraamides

“…These findings highlight the importance of cognitive skills for reacting fast to objects, suggesting that VR light training tasks could serve as valuable tools for exercising both cognitive and physiological processes in athletes across various sports.…”
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