Brain connectomics markers for response prediction to transcranial magnetic stimulation in cocaine use disorder by Nayereh Ghazi, Eduardo A. Garza-Villarreal, Hamid Soltanian-Zadeh

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Peculiarities of operating modes of booster piston compressors based on a low-speed long-stroke compressor stage in mobile compressor stations by V. L. Yusha, S. S. Busarov

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What mothers wish for their children: Mother-constructed higher education future orientation and its antecedents by Rachel Seginer, Adi Yoavi

“…Discussion addresses the importance of future thinking for impacting present ideas applying to mother-constructed higher education future orientation for their children academic achievement, and calls for further empirical analysis of its impact on mother’ behavior prompting academic achievement and its impact on children’s academic achievement, and for further testing of the model on diverse samples. …”
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AI-Driven Global Disaster Intelligence from News Media by Fahim Sufi, Musleh Alsulami

“…Over a 514-day period (27 September 2023 to 26 February 2025), 1.25 million news articles were collected, of which 17,884 were autonomously classified as disaster-related using Generative Pre-Trained Transformer (GPT) models. …”
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The assessment of applicability of single-stage piston long-stroke low-speed compressors in low-temperature refrigeration machines by V. L. Yusha, S. S. Busarov, A. V. Nedovenchany

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Nécropoles multipolaires et élaboration d’un nouveau modèle socio-politique au premier âge du Fer : réflexions à partir des sites du Camp de l’Église Sud à Flaujac-Poujols (Lot) et... by Antoine Dumas

“….), the first part of this work is dedicated to the internal analysis of each cemetery. Spatial analysis was performed following a five steps protocol, which included the creation of heatmaps (1), identification of dense areas of graves (2), the construction of concave hulls (3), buffer-zones (4) and a Delaunay triangulation designed to identify potential burial alignments (5). …”
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Diseño, aplicación y evaluación de unidades híbridas en Educación Física: un estudio basado en la teoría de la autodeterminación (Design, apply and evaluation of hybrid units in P... by Pablo Uria-Valle, Alexander Gil-Arias

“…A 2 x 2 within-test time (pre-test and post-test) x gender (boys and girls) MANOVA was conducted for data analysis. After the hybrid SE/TGfU unit, both quantitative and qualitative findings showed improvements in students’ perceptions of need-support from the physical education teacher, basic psychological needs satisfaction, novelty, autonomous motivation, and intention to be physically active, compared to baseline values. …”
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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE DEVELOPMENT OF PREDICTIVE COMPETENCE IN MODERN SPECIALISTS by Viacheslav Osadchyi, Maksym Pavlenko, Liliia Pavlenko, Oleksii Sysoiev, Vladyslav Kruglyk

“…The study employs theoretical methods such as analysis, synthesis, and generalisation of findings from interdisciplinary research, as well as conceptual and comparative analysis of human-AI interaction models and the evolving essence of predictive competence. …”
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A Mathematical Neutrosophic Offset Framework with Upside-Down Logics for Quality Evaluation of Multi-Sensor Intelligent Vehicle Environment Perception Systems by Qingde Li, Xiangheng Kong

“…This paper introduces a novel mathematical framework that combines Neutrosophic Offset Theory with Upside-Down Logics to evaluate and enhance the perception quality of autonomous systems. The proposed model allows sensor readings to exceed the conventional membership bounds [0,1], accommodating over-determined or negative-impact inputs through offset membership values. …”
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Business ethics, corporate social responsibility and fostering innovation as predictors of employee happiness - Ética empresarial, responsabilidad social corporativa e innovación c... by Victor Mercader, Esthela Galván-Vela, Mario Alberto Salazar-Altamirano, Rafael Ravina-Ripoll 

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Nonlinear optimal control for the five-axle and three-steering coupled-vehicle system by G. Rigatos, M. Abbaszadeh, K. Busawon, P. Siano, M. Al Numay, G. Cuccurullo, F. Zouari

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A survey on deep learning-based lidar place recognition by Weizhong Jiang, Shubin Si, Hanzhang Xue, Yiming Nie, Zhipeng Xiao, Qi Zhu, Liang Xiao

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Elastic scattering of Lithium induced nuclear reactions by S. Madhu, Reddi Rani L., H.C. Manjunatha, N. Sowmya, H.S. Anushree, Krishnakanth E.

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Identification of bioactive compounds and molecular targets of Fuke Huahuang formulation to treat vaginitis by Huiyu Liu, Jie Mo, Cheng Liang, Qingting Chen, Bin Yang, Jiaqi Liu

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UAV Robust Strategy Control Based on MAS by Jian Han, Changhong Wang, Guoxing Yi

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When is a DAO Decentralized? by Henrik Axelsen, Johannes Rude Jensen, Omri Ross

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Exploring Readiness of SMEs for Industry 4.0 by Natalie Grufman, Sinéad Lyons, Eriks Sneiders

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A machine learning-based severity stratification tool for high altitude pulmonary edema by Luobu Gesang, Yangzong Suona, Zhuoga Danzeng, Bai Ci, Quzhen Gesang, WangJiu Cidan, Qiangba Dingzeng, Zhuoga Baima, Quzhen Zhaxi

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Influence of Lane-Changing Behavior on Traffic Flow Velocity in Mixed Traffic Environment by Han Xie, Qinghua Ren, Zheng Lei

“…Based on the simulation model, the traffic flow simulation experiments under the conditions of 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, and 90% penetration rate of autonomous vehicles were carried out. …”
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OPGW fault localization method based on transformer and federated learning by Yan Zhigang, Cui Min, Su Xinyue, Wang Jinrui, Ma Xiao, Wu Lijun

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