Structural and Functional Changes of the Heart in Young Adult Tennis Players by Hsu-Chun Huang, Wei-Ting Lin, Ruei-Shyang Liu, I-Wei Lu, Chia-Chin Chiang, Hsiang-Chun Lee

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Structural insights into retinoic acid receptor activation and selective modulators by Yining Song, Wenrui Zhao, Xuan Huang, Lai Wei, Jingyi Han, Jiayun Hou, Min Li, Xin Cao

“…The potential for developing selective RAR modulators is highlighted, along with the need for comprehensive structural data to enhance our understanding of RAR functions in disease contexts. …”
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Numerical simulation of snow deposition around structural snow fences by K. Yu. Litvintsev, A. A. Gavrilov, A. A. Dekterev, Yu. N. Zaharinsky, A. A. Minakov, S. A. Filimonov, K. A. Finnikov

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Interpretive structural modeling of the implementation of the comprehensive scientific map of Iran by Bahram Akbari, Abouzar Alidadi Talkhestani, Mohammad Reza Navab Esfahani, Meysam Alipour

“…Purpose: The present study aims to present an "interpretive structural modeling of the implementation of the country's comprehensive scientific map." …”
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Local structural–functional coupling with counterfactual explanations for epilepsy prediction by Jiashuang Huang, Shaolong Wei, Zhen Gao, Shu Jiang, Mingliang Wang, Liang Sun, Weiping Ding, Daoqiang Zhang

“…Specifically, we first construct structural and functional connections using diffusion tensor imaging (DTI) and resting-state functional magnetic resonance imaging (rs-fMRI) data, subsequently organizing them into a multimodal brain network. …”
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Neuroadaptive changes in brain structural–functional coupling among pilots by Xi Chen, Qingbin Meng, Qingsong Song, Peiran Xu, Shicong Zhang, Donglin Huang, Qi Chu, Jiamin Fan, Cheng Luo, Xiuyi Li

“…However, prior research has predominantly focused on identifying structural and functional differences in the brain, while the relationship between structure and function remains insufficiently elucidated.MethodsThis study collected T1-weighted structural magnetic resonance imaging (MRI), resting-state functional MRI (rs-fMRI), and diffusion tensor imaging (DTI) data from 47 pilots and 38 matched controls. …”
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Structural basis for Retriever-SNX17 assembly and endosomal sorting by Amika Singla, Daniel J. Boesch, Ho Yee Joyce Fung, Chigozie Ngoka, Avery S. Enriquez, Ran Song, Daniel A. Kramer, Yan Han, Esther Banarer, Andrew Lemoff, Puneet Juneja, Daniel D. Billadeau, Xiaochen Bai, Zhe Chen, Emre E. Turer, Ezra Burstein, Baoyu Chen

“…Here, we provide biochemical, structural, cellular, and proteomic analyses of the SNX17-Retriever interaction. …”
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Exploring the predictive value of structural covariance networks for the diagnosis of schizophrenia by Clara S. Vetter, Clara S. Vetter, Clara S. Vetter, Annika Bender, Dominic B. Dwyer, Dominic B. Dwyer, Dominic B. Dwyer, Max Montembeault, Anne Ruef, Katharine Chisholm, Lana Kambeitz-Ilankovic, Linda A. Antonucci, Stephan Ruhrmann, Joseph Kambeitz, Marlene Rosen, Theresa Lichtenstein, Anita Riecher-Rössler, Rachel Upthegrove, Raimo K. R. Salokangas, Jarmo Hietala, Christos Pantelis, Christos Pantelis, Rebekka Lencer, Rebekka Lencer, Eva Meisenzahl, Stephen J. Wood, Stephen J. Wood, Paolo Brambilla, Paolo Brambilla, Stefan Borgwardt, Peter Falkai, Peter Falkai, Alessandro Bertolino, Nikolaos Koutsouleris, Nikolaos Koutsouleris, Nikolaos Koutsouleris, PRONIA Consortium

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Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs by Domenico Paolo, Carlo Greco, Alessio Cortellini, Sara Ramella, Paolo Soda, Alessandro Bria, Rosa Sicilia

“…Natural Language Processing (NLP), particularly Named Entity Recognition (NER), has been instrumental in extracting structured information from EHR data. However, existing literature primarly focuses on extracting handcrafted clinical features through NLP and NER methods without delving into their learned representations. …”
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Instance-level medical image classification for text-based retrieval in a medical data integration center by Ka Yung Cheng, Markus Lange-Hegermann, Jan-Bernd Hövener, Björn Schreiweis

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An urban land surface temperature and emissivity separation algorithm from ASTER TIR data and its application by Jinglun Li, Kun Li, Yonggang Qian, Xianhui Dou, Qijin Han, Jian Zeng, Hang Zhao, Qiongqiong Lan, Zhaopeng Xu, Jiayi Bai, Baoan Wei, Xining Liu, Feng Wang, Juntao Yang, Yueming Wang

“…Compared with natural surfaces, urban areas have complex geometric structures causing multiple scattering and adjacency effects. …”
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Using large language models to extract plant functional traits from unstructured text by Viktor Domazetoski, Holger Kreft, Helena Bestova, Philipp Wieder, Radoslav Koynov, Alireza Zarei, Patrick Weigelt

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Spatial parameters for transportation: A multi-modal approach for modelling the urban spatial structure using deep learning and remote sensing by Dorothee Stiller, Michael Wurm, Thomas Stark, Pablo d'Angelo, Karsten Stebner, Stefan Dech, Hannes Taubenböck

Subjects: “…urban spatial structure…”
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Quantum chemical research of the molecular structure of 3,4-dicyanofuroxan by I. N. Kolesnikova, N. V. Lobanov, V. N. Lobanov, I. F. Shishkov

“…The structure of the free dicyanofuroxan molecule was found to differ depending on the phase. …”
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A spectral–structural characterization of European temperate, hemiboreal, and boreal forests by M. Rautiainen, A. Hovi, D. Schraik, D. Schraik, J. Hanuš, P. Lukeš, Z. Lhotáková, L. Homolová

“…In this data description paper, we present a dataset on the structural and spectral properties of 58 stands in temperate, hemiboreal, and boreal European forests. …”
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Synchronization lag in post stroke: relation to motor function and structural connectivity by Xin Wang, Caio Seguin, Andrew Zalesky, Wan-wa Wong, Winnie Chiu-wing Chu, Raymond Kai-yu Tong

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The first phylogeographic population structure and analysis of transmission dynamics of M. africanum West African 1--combining molecular data from Benin, Nigeria and Sierra Leone. by Florian Gehre, Martin Antonio, Frank Faïhun, Mathieu Odoun, Cecile Uwizeye, Pim de Rijk, Bouke C de Jong, Dissou Affolabi

“…Moreover, we combined our data from Benin with publicly available genotyping information from Nigeria and Sierra Leone, and determined the phylogeographic population structure and genotypic clustering of MAF1. …”
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Impact of zero-mark-up medicines policy on hospital revenue structure: a panel data analysis of 136 public tertiary hospitals in China, 2012–2020 by Yuanli Liu, Jing Sun, Hanchao Cheng, Yuou Zhang

“…The share of revenue generated from government subsidies increased by 2%–5% in the second, third, fifth and sixth years following implementation (p<0.05).Conclusions Although the policy goal of adjusting hospital revenue structure has been achieved, the findings were insufficient to conclude whether the policy goal of establishing a scientific compensation mechanism was met by increasing the price of medical services and government input. …”
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Evolution of Rockfall Based on Structure from Motion Reconstruction of Street View Imagery and Unmanned Aerial Vehicle Data: Case Study from Koto Panjang, Indonesia by Tiggi Choanji, Michel Jaboyedoff, Yuniarti Yuskar, Anindita Samsu, Li Fei, Marc-Henri Derron

“…It highlights the use of cost-effective Street View Imagery (SVI) and Unmanned Aerial Vehicles (UAV) through Structure-from-Motion (SfM) photogrammetry as tools for 3D rockfall monitoring. …”
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A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data by Xu Zhang, Shenbing Ma, Jun Ye, Lintao Gao, Hui Huang, Qiman Xie, Liming Bo, Qun Wang

“…Firstly, according to the domestic and international new energy turbine fault ride-through standards, the fault ride-through segmentation control characteristics are summarized, and a general structured model for fault ride-through segmentation control of doubly fed wind turbines is constructed; Secondly, based on the measured hardware-in-the-loop data of the doubly fed wind turbine black box controller, the method of data segmentation preprocessing and structured model identification of the doubly fed wind turbine is proposed by utilizing statistical modal features and genetic Newton’s algorithm, and a set of generalized software simulation platforms for parameter identification is developed by combining Matlab and BPA; lastly, using the measured data of the doubly fed wind turbine in the black box and the software platform, the validity and accuracy of the proposed parameter identification method and software are tested in the simulation. …”
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