Structural abnormalities of the cerebellar gray matter and cerebellar peduncles in cervical dystonia patients by Mingjing Qiu, Yongsheng Xiang, Lixi Li, Lizhen Pan, Yunping Song, Liang Feng, Lingjing Jin

“…Between-group differences in gray matter volumes of cerebellar subregions and fiber morphometric properties of the cerebellar peduncles (CP) were investigated using voxel-based, region of interest-based and fixel-based analysis, respectively. The significant structural changes were correlated with clinical data, including disease duration and the first section of TWSTRS. …”
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Structural Variations Associated with Adaptation and Coat Color in Qinghai‐Tibetan Plateau Cattle by Xiaoting Xia, Fuwen Wang, Xiaoyu Luo, Shuang Li, Yang Lyu, Yining Zheng, Zhijie Ma, Kaixing Qu, Rende Song, Jianyong Liu, Jicai Zhang, Basang Wangdui, Basang Zhuzha, Suolang Quji, Li Zhao, Silang Wangmu, Ciren Luobu, Nima Cangjue, Danzeng Luosang, Suolang Sizhu, Haijian Cheng, Ruizhe Li, Zhipeng Wu, Ruihua Dang, Yongzhen Huang, Xianyong Lan, Luohao Xu, Haifei Hu, WaiYee Low, Zhuqing Zheng, Yu Wang, Yuanpeng Gao, Lu Deng, Johannes A. Lenstra, Jianlin Han, Xueyi Yang, Wenfa Lyu, Bizhi Huang, Chuzhao Lei, Ningbo Chen

“…Abstract Structural variations (SVs) play crucial roles in the evolutionary adaptation of domesticated animals to natural and human‐controlled environments, but SVs have not been explored in Tibetan cattle, which recently migrated and rapidly adapted to the high altitudes of the Qinghai‐Tibetan Plateau (QTP). …”
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Fine-tuning of language models for automated structuring of medical exam reports to improve patient screening and analysis by Luis B. Elvas, Rafaela Santos, João C. Ferreira

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Study of Rutile TiO2 band structures and optical properties using Density functional theory (DFT) by Rafea A. Munef, Abdulhadi M. Ghaleb, Ahmed Th. Shihatha

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The Relationship between Personality Structures and Moral Development: Mediating Role of Mind Reading in the Students of Farhangian University of Kerman by Mohammad Esmaeilzadeh, Hamdollah Manzari Tavakoli, Mitra Kamyabi, Amanollah Soltani

“…Objective: The present investigation was conducted with the objective of exploring the relationship between personality structures, as conceptualized by the neo-approach, and moral development, taking into consideration the mediating role of mind reading. …”
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Cuticle structure of Carpathian endemic species: Trachelipus trilobatus (Crustacea, Isopoda, Oniscidea) described with the scanning electron microscope by Diana CUPȘA, Traian-Octavian COSTEA, Alfred-Ștefan CICORT-LUCACIU, Severus-Daniel COVACIU-MARCOV, Sára FERENȚI

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An Intelligent Monitoring System for the Safety of Building Structure under the W2T Framework by Haiyuan Wang, Zhisheng Huang, Ning Zhong, Jiajin Huang, Yuzhong Han, Feng Zhang

“…Monitoring systems for the safety of building structure (SBS) can provide people with important data related to main supporting points in a building and then help people to make a reasonable maintenance schedule. …”
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THE ADVANTAGES OF THE DISTRIBUTION FUNCTION AS A METHOD OF GRAPHICAL REPRESENTATION OF THE ECONOMIC STRUCTURE OF SOCIETY by V. A. Kapitanov, A. A. Ivanova, A. Yu. Maksimova

“…The presence of features in the economic structure of society must be reflected in the qualitative behavior of the curves. …”
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Detecting Urban Mobility Structure and Learning Functional Distribution with Multi-Scale Features by Jia Li, Chuanwei Lu, Haiyan Liu, Jing Li, Dewei Zhou, Qingyun Liu

“…However, existing methods have limitations in handling complex urban data and capturing global spatial structure features. …”
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A large-scale dataset of AI-related tweets: Structure and descriptive statisticsGitHubDataverse by Nathalie de Marcellis-Warin, Daniel Kouloukoui, Thierry Warin

“…The final dataset includes structured metadata such as media elements (images, videos, and URLs), user engagement metrics (likes, retweets, replies), hashtags, language codes, and temporal indicators (hour and weekday of posting). …”
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Graph Neural Networks for Analyzing Trauma-Related Brain Structure in Children and Adolescents: A Pilot Study by Harim Jeong, Minjoo Kang, Shanon McLeay, R. J. R. Blair, Unsun Chung, Soonjo Hwang

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Retracted: Internet of Things Health Detection System in Steel Structure Construction Management by Qinglin Liu, Yongjiang Zhu, Xiongzhou Yuan, Jian Zhang, Rui Wu, Qianwen Dou, Song Liu

“…It is concluded that the time series model established in this study can objectively reflect the change trend and law of strain data, has certain prediction accuracy, and has certain value significance for monitoring data analysis and construction management of steel building structures.…”
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Super-resolution mapping of anisotropic tissue structure with diffusion MRI and deep learning by Alfredo Ordinola, David Abramian, Magnus Herberthson, Anders Eklund, Evren Özarslan

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Predictive Technology Assessment by Means of a Structure-Based Method of Machine Learning by Manja Mai-Ly PFAFF, Uwe FRIEß, Andreas OTTO, Matthias PUTZ

“…Based on this algorithm, correlation considerations can be performed on the data structure, the measured variables, and the diagnostic parameters. …”
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The Historical Evolution and Significance of Multiple Sequence Alignment in Molecular Structure and Function Prediction by Chenyue Zhang, Qinxin Wang, Yiyang Li, Anqi Teng, Gang Hu, Qiqige Wuyun, Wei Zheng

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Calculation of Water Saturation of Dolomite Reservoir Based on Multi-Pore Structure Model by Xinzhong Qi, Xingneng Wu, Yong Ai, Ruokun Huang, Wenxing Duan, Yaqi Liu

“…The total conductivity of the rock is established by the parallel combination of the effective components to establish the porous structure response equation, the equation is fitted by the rock electrical experimental data, and the parameters such as the fracture porosity index (mj) and the interconnected void porosity (ml) are calculated. …”
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From sequence to protein structure and conformational dynamics with artificial intelligence/machine learning by Alexander M. Ille, Emily Anas, Michael B. Mathews, Stephen K. Burley

“…The 2024 Nobel Prize in Chemistry was awarded in part for de novo protein structure prediction using AlphaFold2, an artificial intelligence/machine learning (AI/ML) model trained on vast amounts of sequence and three-dimensional structure data. …”
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Deep nested U-structure network with frequency attention for building semantic segmentation by Khaled Moghalles, Zaid Al-Huda, Dalal AL-Alimi, Yeong Hyeon Gu, Mugahed A. Al-antari

“…We have introduced a novel approach to address these issues: an end-to-end residual U-structure embedded within a U-Net, enhanced by a frequency attention module and a hybrid loss function. …”
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Local Scouring Visualization of Bed Channel Surface in Hydraulic Structure Using Surfer by Tifarah Dayansabila Paramadita, Nadia Azarine, Aburizal Azhar, Didit Puji Riyanto

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Research on Structure and Characteristics of Gear System of Crossflow in Flow Domain of Reactor Core by CHEN Guangliang, ZHANG Hanqi, TAO Wenquan

“…In addition, the transverse flow character with fixed-wall conditions in a small domain like 5×5 rod bundle analyzed with flow gear system clarifies the limitations, which was unable to identify the large flow gear and long transverse flow structures, so that some thermal-hydraulic physical information was lost. …”