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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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

“…Here, we provide biochemical, structural, cellular, and proteomic analyses of the SNX17-Retriever interaction. …”
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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

“… Immersing the brain in a solution containing formaldehyde is a commonly used method for preserving the structure of human brain tissue in brain banking. However, there are questions about the quality of preservation using this method, as formaldehyde takes a relatively long period of time to penetrate a large organ such as the human brain. …”
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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

“… Immersing the brain in a solution containing formaldehyde is a commonly used method for preserving the structure of human brain tissue in brain banking. However, there are questions about the quality of preservation using this method, as formaldehyde takes a relatively long period of time to penetrate a large organ such as the human brain. …”
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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

“…Factorial and network analyses were performed to evaluate the internal structure and dynamics of the questionnaire. Results: CFA showed an excellent fit for the 4-factor model of the NMP-Q, with factor loadings above 0.700 and high fit indices (CFI=0.996, RMSEA=0.031, SRMR=0.041). …”
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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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3‐D Subsurface Geophysical Modeling of the Charity Shoal Structure: A Probable Late Proterozoic‐Early Paleozoic Simple Impact Structure in Eastern Lake Ontario by Mary H. Armour, Joseph I. Boyce, Phillip Suttak, Doug Hrvoic

“…Abstract The Charity Shoal structure is a circular, ∼1.2‐km‐diameter, bedrock‐rimmed shoal in eastern Lake Ontario with a ∼20‐m‐deep central basin. …”
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NMR Data Analysis of Acarbose by LI Yujiang, ZHAO Wei, TAO Le, LU Bohua, ZHENG Guo, ZHANG Haiyan, GUO Xiaohe, ZHAO Tianzeng

“…The molecular structure of acarbose was confirmed, providing a reliable data basis for the safety and quality control of acarbose drugs.…”
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Development of an Intelligent System for Processing Semistructured Data: Industry Structuring and Advanced Analysis of Information Extracted from Comments to Video Clips in Social Networks by A. A. Poguda, H. Tape

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Reconstructing missing data of damaged buildings from post-hurricane reconnaissance data using XGBoost by Hyunje Yang, Jun-Whan Lee, Steven Klepac, Armando Ulises Santos Cruz, Arthriya Subgranon, Junfeng Jiao

“…For each region, we analyzed the model’s performance depending on the missing structural features. We also demonstrated the importance of including geospatial, hazard, and damage level data by showing improved performance of XGBoost models compared to those trained only on known structural data. …”
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Prediction of moment improvement in UHPC strengthened damaged RC beams based on data augmented machine learning by Weidong Xu, Decheng Ji, Yong Yu, Xianying Shi

“…Strengthening of damaged reinforced concrete (RC) structures with ultra high performance concrete (UHPC) can increase their load carrying capacity and durability. …”
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Spatial Variation in Coral Diversity and Reef Complexity in the Galápagos: Insights from Underwater Photogrammetry and New Data Extraction Methods by Matan Yuval, Franklin Terán, Wilson Iñiguez, William Bensted-Smith, Inti Keith

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