Identification of Reliable Target Brain Regions for Enhancing Object–Location Memory by Brain Stimulation by Mohamed Abdelmotaleb, Filip Niemann, Harun Kocataş, Leonardo M. Caisachana Guevara, Alireza Shahbabaie, Robert Malinowski, Steffen Riemann, Anna Elisabeth Fromm, Dayana Hayek, Daria Antonenko, Marcus Meinzer, Agnes Flöel

“…Participants learned associations between house images and their locations on a two‐dimensional street map across four feedback‐based learning stages. …”
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Identifying nexilin as a central gene in neutrophil-driven abdominal aortic aneurysm pathogenesis by Bohan Yang, Yiyan Xu, Fengfei Yan, Cheng Peng, Ye Song, Song Han, Haiyang Wang

“…Methods We utilized weighted gene co-expression network analysis (WGCNA) and differential gene expression analysis to compare AAA and healthy abdominal aortic tissues. Functional enrichment analysis and a protein–protein interaction (PPI) network were constructed to understand gene functions. …”
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Data-Driven Mobility System for Vehicular Communication: A Step Towards Transport Resilience in Intelligent Transport Systems by Maryam Gillani, Hafiz Adnan Niaz, Beatriz Martinez-Pastor

“…The collected data optimizes ITS functional capacity and efficiency to build smart infrastructure or smart cities. …”
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An Electrolyte‐Gated InGaZnO Phototransistor that Emulates Visual Experience‐Dependent Plasticity by Zheng Wang, Mingzhen Zhang, Donggang Xie, Zhuohui Liu, Ge Li, Jiahui Xie, Erjia Guo, Meng He, Can Wang, Guozhen Yang, Kuijuan Jin, Chen Ge

“…Abstract Inspired by neurobiological learning rules, bionic devices that simulate the fundamental functions of synapses and neurons provide a highly effective approach to neuromorphic computing. …”
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Predictive outcome of late window ischemic stroke patients following endovascular therapy: a multi-center study by Sijie Zhou, Mohammad Mofatteh, Zhikai Chen, Zhikai Chen, Jinyan Tang, Jicai Ma, Ziqi Ouyang, Jian Wang, Senrong Luo, Yuankang He, Zhenzhang Li, Zhenzhang Li, Yuzheng Lai, Xuxing Liao

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BIOFEEDBACK AS A METHOD FOR STUDENTS’ MENTAL STATE ASSESSMENT by M. Yu. Ababkova, V. L. Leontieva

“…Neurotechnologies based on the principles of a nervous system functioning are being introduced into modern educational process more and more actively. …”
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Efficacy and safety of high-dose and personalized TBS on post-stroke cognitive impairment: A randomized controlled trial by Jianxun Ren, Wenlong Su, Ying Zhou, Kaiyue Han, Ruiqi Pan, Xinyu Duan, Jiajie Liu, Haitao Lu, Ping Zhang, Wei Zhang, Jian Sun, Mengying Ding, Yafei Zhu, Wuxiang Xie, Jianting Huang, Hao Zhang, Hesheng Liu

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3D Scene Segmentation: A Comprehensive Survey and Open Problems by Slavcho Neshev, Krasimir Tonchev, Agata Manolova, Vladimir Poulkov

“…A comparative analysis of loss functions and overview of evaluation metrics is conducted to highlight their impact on segmentation performance. …”
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The PANEN nomogram: clinical decision support for patients with metastatic pancreatic neuroendocrine neoplasm referred for peptide receptor radionuclide therapy by Aviral Singh, Aviral Singh, Aviral Singh, Sebastian Sanduleanu, Harshad R. Kulkarni, Thomas Langbein, Philippe Lambin, Richard P. Baum

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Evaluation of Social Clubs Studies in Turkey with Club Counselors' Views by Sevgi Coşkun Keskin, Deniz Yüceer, Ayşe Aydoğmuş Doğan

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Technological Innovation in Architectural Design Education: Empirical Analysis and Future Directions of Midjourney Intelligent Drawing Software by Chong Xu, Yi Huang

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Application of Roadside Perception Method Based on Improved DeepSORT in Surface Mine by YUE Wei, LIN Jun, KANG Gaoqiang, YOU Jun, XU Yanghan, TONG Hao

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De Novo Design of Large Polypeptides Using a Lightweight Diffusion Model Integrating LSTM and Attention Mechanism Under Per-Residue Secondary Structure Constraints by Sisheng Liao, Gang Xu, Li Jin, Jianpeng Ma

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Predictive modeling of longitudinal cracking in CRCP using PSO-tuned gradient boosting machines by Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada

“…Abstract Longitudinal cracking poses a serious threat to the longevity and functionality of continuously reinforced concrete pavement (CRCP). …”
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D-BADGE: Decision-Based Adversarial Batch Attack With Directional Gradient Estimation by Geunhyeok Yu, Minwoo Jeon, Hyoseok Hwang

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A comprehensive construction of deep neural network‐based encoder–decoder framework for automatic image captioning systems by Md Mijanur Rahman, Ashik Uzzaman, Sadia Islam Sami, Fatema Khatun, Md Al‐Amin Bhuiyan

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Diagnosis of early glaucoma likely combined with high myopia by integrating OCT thickness map and standard automated and Pulsar perimetries by Ai-Su Yang, Hong-Siang Wang, Te-Jung Li, Chin-Hsin Liu, Chung-Ming Chen

“…While various machine-learning approaches have been developed for glaucoma diagnosis, only a few specifically address early-stage detection. …”
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Software complex for simulation modelling of single nucleotide genetic polymorphism sites by M. M. Yatskou, D. D. Sarnatski, V. V. Skakun, V. V. Grinev

“…High-throughput sequencing methods have recently become widely used in the fundamental and applied research of various human diseases. Sequencing of functionally significant regions of the human genome enables the simultaneous identification of multiple genetic polymorphism sites that have diagnostic and/or prognostic significance for human genetic diseases. …”
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Exploration of Advanced Applications of Triboelectric Nanogenerator-Based Self-Powered Sensors in the Era of Artificial Intelligence by Yifeng Su, Dezhi Yin, Xinmao Zhao, Tong Hu, Long Liu

“…The integration of Deep Learning with sensor technologies has significantly advanced the field of intelligent sensing and decision making by enhancing perceptual capabilities and delivering sophisticated data analysis and processing functionalities. …”
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Approach to knowledge management and the development of a multi-agent knowledge representation and processing system by E. I. Zaytsev, E. V. Nurmatova

“…Solving complex problems in an MKRPS is accomplished by communities of intelligent software agents that use cognitive data structures, logical inference, and machine learning. Intelligent software agents are able to act rationally under conditions of incompleteness and ambiguity of incoming information. …”
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