Robot-assisted laparoscopic ureteropelvic junction plasty in children using the da Vinci Xi robotic system: a Russian first experience by V. V. Sizonov, A. G. Makarov, S. M. Pakus, D. G. Kvaratskhelia, E. V. Orlova, S. G. Piskunova, M. I. Kogan

“…The docking time exhibited a notable learning curve, decreasing from 60 minutes during the initial stages to an average of 25.0 ± 10.8 min as proficiency improved. …”
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Efeito das interações dos Estudantes de Ciências com Laboratórios Virtuais em Realidade Aumentada para o Desenvolvimento da Visualização Espacial / Effect of Science Students Inter... by Fabrício Herpich, Patrícia Fernanda da Silva, Liane Margarida Rockenbach Tarouco

“…The solution was tested in activities that complement the Science teaching and learning process with basic education students in Brazil. …”
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An artificial intelligence-based platform for personalized predictions of Metacognitive Training effectiveness by Caroline König, Pedro Copado, Alfredo Vellido, Àngela Nebot, Cecilio Angulo, Maria Lamarca, Vanessa Acuña, Fabrice Berna, Steffen Moritz, Łukasz Gawęda, Susana Ochoa

“…This study introduces a machine learning (ML)-based platform aimed at predicting the effectiveness of Metacognitive Training (MCT). …”
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PLURILINGUALISM AND ASSESSMENT. ROMANIAN AS A FOREIGN AND HERITAGE LANGUAGE by Dina VÎLCU

“…It focuses on how plurilingual competence was addressed as part of the revision. The first case presents revisions to the grid for written production, level A1. …”
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Percepciones de futuros maestros sobre motricidad en educación infantil: un estudio exploratorio en estudiantes de último curso (Perceptions of future teachers on motricity in ear... by Josué Prieto Prieto, David Cerro Herrero

“…Furthermore, it was observed that the competence on motor practice in future teachers presents some shortcomings. In view of the results, in higher education, it seems interesting to guide teaching and learning strategies towards enhancing the training of college students. …”
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Novel ANKRD17 variants implicate synaptic and mitochondrial disruptions in intellectual disability and autism spectrum disorder by Dan Xia, Yuanyuan Xu, Zhanwen He, Rui Chen, Xiaoqin Xiao, Xiaojuan Li, Kewen Deng, Shuyun Deng, Lina Zhang, Jieming Zhang, Xiaofang Peng, Zhe Meng, Ruohao Wu, Dilong Wang, Zulin Liu, Hui Chen, Lu Li, Liyang Liang

“…Case 2 involves a 12-year-old male presenting with mild ID and progressive social impairments, associated with a NM_032217.5: c.1252 C > T (p.Arg418*) variation in ANKRD17. …”
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A hybrid model for refining gross primary productivity estimation by integrating multiple environmental factors by Zhilong Li, Ziti Jiao, Zheyou Tan, Chenxia Wang, Jing Guo, Sizhe Chen, Ge Gao, Fangwen Yang, Xin Dong

“…In contrast, machine learning has the natural potential to detect intricate patterns and relationships among various environmental variables. …”
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An Affordable AI-Driven and 3D-Printed Personalized Myoelectric Prosthesis: Design, Development, and Assessment by Enzo Romero, Jose G. Garcia, Magno Parra, Sebastian Caballa, Alejandro M. Saldarriaga, Edson F. Luque, Dante J. Rodriguez, Victoria E. Abarca, Dante A. Elias

“…An AI-driven control system utilizes machine learning to classify electromyography (EMG) signals in real-time, specifically detecting the user’s intention to perform flexion or extension movements, and tailoring responses to individual users. …”
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Integration of agronomic information, vegetation indices (VIs), and meteorological data for phenological monitoring and yield estimation of rice (Oryza sativa L.) by Jorge A. Fernandez-Jibaja, Nilton Atalaya-Marin, Yeltsin A. Álvarez-Robledo, Victor H. Taboada-Mitma, Juancarlos Cruz-Luis, Daniel Tineo, Malluri Goñas, Darwin Gómez-Fernández

“…Furthermore, the Valor variety presented the highest grain yield (13.70 t/ha). These results underscore the potential of integrating multisource data with machine learning techniques for high-resolution phenological monitoring and varietal performance assessment.…”
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Fibro-NPC: a pathogenic subtype identified at single-cell resolution with secreted SFRP4 as a biomarker in intervertebral disc degeneration by Yili Xu, Zuozhi Xie, Shubo Gu, Xiang Zhao, Di Zhao, Zhengzheng Wu, Jinfeng Wang, Tao Xu, Ruxue Xu, Zhenhua Feng, Yong Qiu, Zezhang Zhu, Yang Yu, Bo Shi, Jun Jiang

“…Among these, WGCNA and machine learning highlighted SFRP4 as a central pathogenic protein, highly expressed in Fibro-NPC. …”
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Travelling Policies: by Diogo Gaspar Silva, Jorge Malheiros, Herculano Cachinho

“…Indeed, policymakers have “become highly adept at sharing and adapting new innovations on their own, accelerating the diffusion of good ideas and speeding global [policy] learning” and exchange (UN-HABITAT, 2020, p. 205). …”
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Taller de injusticias epistémicas: uso de métodos narrativos para el aprendizaje en bioética by Pamela Jofré, Pía Flores, Rodrigo Valenzuela, Rodrigo Vergara

“…In the surveys, they had a positive evaluation of the activity, highlighting the learning in small groups as very favorable, based on the reflection fostered in different narrative formats. …”
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Efecto de un programa de entrenamiento pliométrico sobre la capacidad de salto en una muestra de juga-dores colombianos de ultimate Frisbee (18-35 años) (Effect of a plyometric tra... by Boryi Alexander Becerra Patiño, Juan Camilo Barrera Castañeda, Cristián Camilo Gómez Páez, Whietmar Sneydher Parra Cañon

“…Keywords: sport, adult learning, benchmarking, measuring methods, ability. …”
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A BASE NACIONAL COMUM CURRICULAR E EDUCAÇÃO NO/DO CAMPO: uma relação de (in)consistência by Raimunda Aurea Dias de Sousa, Alberto Filho Coelho Amorim

“…No presente trabalho, teve-se como ponto de partida a Base Nacional Comum Curricular supostamente aprovada no Brasil para o Ensino Fundamental em 2017 e Ensino Médio em 2018 na sua (in) consistência com a educação do/no campo. …”
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Asteroid Types, Albedos, and Diameters Catalog from Gaia DR3: Intelligent Inversion Results via Multisource Information Fusion by Jiayi Ge, Xiaoming Zhang, Juan Li, Huijuan Wang, Dawei Xu, Xiaojun Jiang

“…The Gaia mission’s third data release (Gaia DR3) offers extensive observations of small solar system objects, presenting a key opportunity to expand the asteroid property database. …”
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The Hourglass Simulation: A Catalog for the Roman High-latitude Time-domain Core Community Survey by B. M. Rose, M. Vincenzi, R. Hounsell, H. Qu, L. Aldoroty, D. Scolnic, R. Kessler, P. Macias, D. Brout, M. Acevedo, R. C. Chen, S. Gomez, E. Peterson, D. Rubin, M. Sako, the Roman Supernova Project Infrastructure Team

“…We present a simulation of the time-domain catalog for the Nancy Grace Roman Space Telescope’s High-Latitude Time-Domain Core Community Survey. …”
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Exposure to hate in online and traditional media: A systematic review and meta‐analysis of the impact of this exposure on individuals and communities by Pablo Madriaza, Ghayda Hassan, Sébastien Brouillette‐Alarie, Aoudou Njingouo Mounchingam, Loïc Durocher‐Corfa, Eugene Borokhovski, David Pickup, Sabrina Paillé

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A clinical-radiomics nomogram based on automated segmentation of chest CT to discriminate PRISm and COPD patients by TaoHu Zhou, Yu Guan, XiaoQing Lin, XiuXiu Zhou, Liang Mao, YanQing Ma, Bing Fan, Jie Li, WenTing Tu, ShiYuan Liu, Li Fan

“…The chest computed tomography (CT) images were segmented by the fully automated deep learning segmentation algorithm (Unet231) for radiomics feature extraction. …”
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High-throughput LDI MS technology decodes the distinct metabolic landscape of prostate cancer in a large-scale cohort by Xinrong Jiang, Chen Zhang, Jing Le, Jie Zhang, Shuo Cao, Xinran Xu, Xiaoming Chen, Sheng Cheng, Haitao Yu, Haofei Jiang, Ruichen Zang, Kunyu Wang, Weiwu Chen, Haobo Fan, Jianmin Wu, Yanlan Yu, Guoqing Ding

“…Discovery and internal validation phases of diagnostic models were conducted through machine learning of urine metabolic fingerprints obtained by laser desorption/ionization mass spectrometry (LDI-MS). …”
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System dynamics modeling in support of community-based decision-making to reduce opioid overdose fatalities by Turner Canty, Matthew R. Lootens, Nasim S. Sabounchi, Rachel L. Thompson, Ayanava Ganguly, Nishita Dsouza, Steve Kilburn, Jill Beloch, Gary Hirsch, Terry T.-K. Huang, Nabila El-Bassel, David W. Lounsbury

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