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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Structure and Expression Analyses of SVA Elements in Relation to Functional Genes by Yun-Jeong Kwon, Yuri Choi, Jungwoo Eo, Yu-Na Noh, Jeong-An Gim, Yi-Deun Jung, Ja-Rang Lee, Heui-Soo Kim

“…Taken together, these data suggest that SVA elements cause transcript isoforms that contribute to modulation of gene regulation in various human tissues.…”
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ANALYSIS OF FACTORS AND STRUCTURE OF CONGENITAL MALFORMAYIONS OF THE GASTROINTESTINAL TRACT IN CHILDREN by Т. Сорокман, С. Сокольник

“… Congenital malformations of the gastrointestinal tract (CMGIT) rank fourth in the structure of congenital malformations in newborns. …”
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Development of the algorithm and structure of software for diagnostics of mobile power facilities by D. V. Kazakov, N. L. Gurzhi, N. E. Kurdagia

“…For the first time, the regularity of recording, processing data from primary converters and the sequence of calculating model parameters is shown, with the possibility of taking into account the characteristics of the transient processes of acceleration of the crankshaft of the internal combustion engine and the MPE, Thus, the developed algorithm and software structure are able to implement the methodology proposed by the authors of the non-standard studies of the internal combustion engine (ICE) and the moving MPE. …”
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Design and structure of overlapping regions in PCA via deep learning by Yan Zheng, Xi-Chen Cui, Fei Guo, Ming-Liang Dou, Ze-Xiong Xie, Ying-Jin Yuan

“…Here we proposed a deep learning model based on extensive synthesis data to discern latent sequence representations in overlapping regions with an AUPR of 0.805. …”
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Dynamic pre-structuration of lipid nanodomain-segregating remorin proteins by Zeren Xu, Adrien Schahl, Marie-Dominique Jolivet, Anthony Legrand, Axelle Grélard, Mélanie Berbon, Estelle Morvan, Louis Lagardere, Jean-Philip Piquemal, Antoine Loquet, Véronique Germain, Matthieu Chavent, Sébastien Mongrand, Birgit Habenstein

“…Our data suggest that remorins fold in the cytosol with the N-terminal disordered region as a structural ensemble around a dimeric anti-parallel coiled-coil core containing a symmetric interface motif reminiscent of a hydrophobic Leucine zipper. …”
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Prevalence and structure of sleep disorders in neurological, psychiatric and somatic hospitals by Dmitry S. Petelin, Andrey O. Golovatyuk, Beatrice A. Volel, Mikhail Yu. Brovko, Olga Yu. Sorokina, Daria V. Troshina, Dmitri O. Rozhkov, Nikolay M. Bulanov, Paraskovya S. Sokolova, Mikhail G. Poluektov

“…Today it is well known that the structure of sleep disorders and frequency of complaints about sleep disorders depend on the diseases profile. …”
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Structure of the Secretory Compartments in Goblet Cells in the Colon and Small Intestine by Alexander A. Mironov, Irina S. Sesorova, Pavel S. Vavilov, Roberto Longoni, Paola Briata, Roberto Gherzi, Galina V. Beznoussenko

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Data Toxicality: A Techno-Philosophical Inquiry into Digital Harm by Gerhard Schreiber

“…Unlike biochemical toxicity, data toxicality manifests in interpersonal and institutional dynamics, affecting autonomy, power structures, and digital ethics. …”
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Flexible Dirichlet Mixture Model for Multi-modal data Clustering by Seunghyun Hong, Fatma Najar, Manar Amayri, Nizar Bouguila

“… Clustering datasets with complex structures, such as multi-modal properties and asymmetric distributions, presents significant challenges in data analysis. …”
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Impact of gene-environment interactions on atrial fibrillation and cardiac structure by Panlong Li, Xirui Zhu, Min Liu, Yanfeng Wang, Chun Huang, Junwei Sun, Shan Tian, Yuna Li, Yuan Qiao, Junting Yang, Shanshan Cao, Chaohua Cong, Lei Zhao, Meiyun Wang, Jingjing Su, Dandan Tian

“…The aim of the study was to investigate the interactions between combined environmental factors and genetic susceptibility on atrial fibrillation (AF) and cardiac structures. The study included 374,495 participants from the UK Biobank, utilizing genetic data and environmental variables (including air pollution, noise, greenspace and water quality). …”
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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

“…Our data reveal that SNX17 adopts an autoinhibited conformation in the basal state, with its FERM domain sequestering its C-terminal tail. …”
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The overgrowth of structure-function coupling in premature brain during infancy by Rong Wang, Tianyu Fang, Yue Zhang, Yue Cheng, Chunfang Wang, Yuanyuan Chen, Qiuyun Fan, Xin Zhao, Dong Ming

“…In this study, the multimodal MRI data from the dHCP database were used to investigate the coupling between brain structure and function in infants, with a particular focus on how prematurity influences this relationship. …”
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Differential diversity and structure of autotrophs in agricultural soils of Qinghai Province by Lianyu Zhou, Xuelan Ma, Qiaoyu Luo, Feng Qiao, Huichun Xie, Longrui Wang, Wenjuan Sun, Yu Liu, Yun Ma

“…Changes in the diversity, structure, and activity of the soil chemolithoautotrophic bacteria were examined in four agricultural areas, Dulan (DL), Gonghe (GH), Huzhu (HZ), and Datong (DT) counties in Qinghai Province, where wheat, oilseed rape, and barley were planted. …”
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Impact of dairy farming on gut microbiota structure and diversity of practitioners by Zhaojie WANG, Xixiao MA, Xianxia LIU, Yanggui CHEN, Xueying XIANG, Wanting XU, Jiguo JIN, Fan WU, Xiangnan WEI, Jianyong WU, Fuye LI

“…BackgroundAnimal farming may affect the structure and diversity of gut microbiota of farm workers, but it needs more studies to provide solid evidence. …”
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Preservation of cellular structure via immersion fixation in brain banking by Macy Garrood, Emma L. Thorn, Adam Goldstein, Allison Sowa, William Janssen, Alyssa Wilson, Claudia S. López, Raakhee Shankar, Erin S. Stempinski, Kurt Farrell, John F. Crary, Andrew McKenzie

“…However, how structural preservation quality should best be assessed in brain banking is an open question that depends on the intended research applications. …”
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Preservation of cellular structure via immersion fixation in brain banking by Macy Garrood, Emma L. Thorn, Adam Goldstein, Allison Sowa, William Janssen, Alyssa Wilson, Claudia S. López, Raakhee Shankar, Erin S. Stempinski, Kurt Farrell, John F. Crary, Andrew T. McKenzie

“…However, how structural preservation quality should best be assessed in brain banking is an open question that depends on the intended research applications. …”
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Spatially Resolved Multiomics: Data Analysis from Monoomics to Multiomics by Changxiang Huan, Jinze Li, Yingxue Li, Shasha Zhao, Qi Yang, Zhiqi Zhang, Chuanyu Li, Shuli Li, Zhen Guo, Jia Yao, Wei Zhang, Lianqun Zhou

“…Despite the technological advances in this field, data analysis frameworks have stagnated. Current challenges include incomplete spatial monoomics data analysis pipeline, overly complex data analysis tasks, and few established spatial multiomics data analysis strategies. …”
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Validity and network structure of the Nomophobia Questionnaire in Peruvian medical students by Peter Garcia-Portocarrero, Deysi A. Saldaña-Amaya, Brayan Miranda-Chavez, Javier A. Flores-Cohaila, Cesar Copaja-Corzo

“…Methods: An observational cross-sectional study was conducted with 3139 medical students from 38 schools in Peru, using the Spanish-adapted NMP-Q. Data were collected through an online survey, promoted via social media and direct contacts. …”
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