Auto-resolving the atomic structure at van der Waals interfaces using a generative model by Wenqiang Huang, Yucheng Jin, Zhemin Li, Lin Yao, Yun Chen, Zheng Luo, Shen Zhou, Jinguo Lin, Feng Liu, Zhifeng Gao, Jun Cheng, Linfeng Zhang, Fangping Ouyang, Jin Zhang, Shanshan Wang

“…Abstract The high-resolution visualization of atomic structures is significant for understanding the relationship between the microscopic configurations and macroscopic properties of materials. …”
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Associations of Prenatal Socioeconomic Status and Childhood Working Memory: A Structural Equation Modeling Approach by Shelley H. Liu, David Bellinger, Kristen Dams-O’Connor, Jeanne A. Teresi, Ivan Pantic, Sandra Martínez-Medina, John Chelonis, Martha M. Téllez-Rojo, Robert O. Wright

“…Study Design: We used data from a prospective birth cohort study in Mexico City, Mexico, with N = 515 children aged 6–9 years. …”
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Comparative Analysis of Mitogenomes in Leafhopper Tribe Deltocephalini (Hemiptera: Cicadellidae: Deltocephalinae): Structural Conservatism and Phylogeny by Bingqing Xie, Xinyi Zhang, Yongxia Zhang, Christopher H. Dietrich, Yani Duan

“…ABSTRACT Previous studies on the gene order and composition of leafhopper mitochondrial genomes have revealed a high level of conservation in overall genome structure. Some members of Deltocephalinae, the largest subfamily, exhibit tRNA gene rearrangements; however, few mitogenomes have been sequenced in this group and the degree of structural variation within tribes remains unclear. …”
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SIGNS OF POST-TRAUMATIC STRESS DISORDER IN COMBATANTS WITH DIFFERENT COMBAT EXPERIENCE AND THE STRUCTURE OF THEIR PSYCHOLOGICAL REHABILITATION by Ivan М. Okhrimenko, Nataliia O. Bilevych, Maryna Yu. Halych, Yaroslav V. Halych, Natalia E. Penkova, Petro V. Kozyra, Oksana G. Strelchenko

“…To study the signs of post-traumatic stress disorder in combatants depending on the duration of their participation in combat operations and to substantiate the structure of their psychological rehabilitation. …”
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Sodium alginate-based biochar gel spheres: synthesis, structural analysis, and ofloxacin adsorption efficiency by Qingrui Zhao, Hongpei Zhang, Xiaohui Zhao, Xiaodan Wang, Ke Zhang, Zheng Binguo, Songchao Wang, Baogui Wang, Fuzhi Guo, Yuqian Ma, Di Mao

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Evolution law of microporous structure in cement asphalt (CA) mortar under the action of polyurethane polycarboxylates by Shuncheng Xiang, Ming Yuan, Xin Yang, Lulu Li, Yingli Gao, Haotian Yu, Huan Zhou, Tingxiang Zheng, Jin Zhang, Zhen Jiang

“…According to the analysis of fractal dimension and nuclear magnetic resonance test data, the Cement Asphalt (CA) mortar ‘s pore volume fractal dimension is greater than 3, indicating that the pore structure has fractal characteristics. …”
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Features of formation of grain sorghum yield structure elements in dependence on inter-row spacing and fertilizing by В. М. Найденко

“…Laboratory, field, statistical. Results. Data on features of structural elements formation and productivity of grain sorghum in dependence on varietal characteristics, inter-row spacing and level of mineral nutrition are presen­ted. …”
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Automatic Segmentation of the Infraorbital Canal in CBCT Images: Anatomical Structure Recognition Using Artificial Intelligence by Ismail Gumussoy, Emre Haylaz, Suayip Burak Duman, Fahrettin Kalabalık, Muhammet Can Eren, Seyda Say, Ozer Celik, Ibrahim Sevki Bayrakdar

“…<b>Background/Objectives:</b> The infraorbital canal (IOC) is a critical anatomical structure that passes through the anterior surface of the maxilla and opens at the infraorbital foramen, containing the infraorbital nerve, artery, and vein. …”
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Reproductive toxicity in male rats induced by chronic arsenic exposure involves hormonal and structural changes by Syed Zahid Mahboob, Sarwat Jahan, Hussain Badshah, Razia Virk, Mehwish David, Riffat Bano, Jawaher Alzahrani, Muhammad Ayub, Azizullah Azizullah, Moona Nazish, Asif Kamal, Kamran Ullah, Muhammad Tahir Naseem

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Structural analysis of TRIM family PRYSPRY domains and its implications for E3-ligand design by Rezart Zhubi, Apirat Chaikuad, Christian J. Muñoz Sosa, Andreas C. Joerger, Stefan Knapp

“…In addition, we mapped the locations of missense mutations in MID1 associated with X-linked Opitz syndrome, suggesting that some of these mutations impair the conformational stability of the protein. Taken together, our data provide intriguing insights into the structural and functional divergence of TRIM family PRYSPRY domains, their potential druggability and substrate recognition, and the challenges of ligand design.…”
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Analyzing canopy structure effects based on LiDAR for GPP-SIF relationship and GPP estimation by Shuo Shi, Shuo Shi, Shuo Shi, Shuo Shi, Zixi Shi, Fangfang Qu, Wei Gong, Wei Gong, Wei Gong, Wei Gong, Lu Xu, Chenxi Liu

“…LiDAR offers unparalleled advantages in capturing complex vertical canopy structures. In this study, we used multi-source data, particularly LiDAR-derived canopy structure products, to analyze the annual variations in canopy structural parameters and GPP/SIF across different forest types, investigate the response of canopy structure to the GPP-SIF relationship, and employ machine learning models to estimate GPP and assess the contribution of canopy structural factors. …”
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Genetically predicted brain cortical structure mediates the causality between insulin resistance and cognitive impairment by Chaojuan Huang, Yuyang Zhang, Mingxu Li, Qiuju Gong, Siqi Yu, Zhiwei Li, Mengmeng Ren, Xia Zhou, Xiaoqun Zhu, Zhongwu Sun

“…Our investigation aims to establish the causal relationship and direction between insulin resistance and cognition, while also quantifying the mediating role of brain cortical structure in this association.MethodsThe publicly available data sources for insulin resistance (fasting insulin, homeostasis model assessment beta-cell function and homeostasis model assessment insulin resistance, proinsulin), brain cortical structure, and cognitive phenotypes (visual memory, reaction time) were obtained from the MAGIC, ENIGMA, and UK Biobank datasets, respectively. …”
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Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer’s disease progression by Sepehr Aghajanian, Fateme Mohammadifard, Ida Mohammadi, Shahryar Rajai Firouzabadi, Ali Baradaran Bagheri, Elham Moases Ghaffary, Omid Mirmosayyeb

“…Conclusions These findings emphasize the value of structural MRI within the advanced DL architectures for predicting MCI-to-AD conversion. …”
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Observed upper-ocean structure and seasonal production in the southern Kerguelen Plateau region, 1994-2021 by Man Liang, Annie Foppert, Annie Foppert, Karen J. Westwood, Karen J. Westwood, Sophie Bestley, Sophie Bestley

“…We collate ship-based hydrographic data on the vertical structure of the upper water column near 80°E from eight voyages spanning 1994 to 2021, from 58°S towards the Antarctic continent. …”
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Sequence-structure based prediction of pathogenicity for amino acid substitutions in proteins associated with primary immunodeficiencies by Ekaterina S. Porfireva, Anton D. Zadorozhny, Anastasia V. Rudik, Dmitry A. Filimonov, Alexey A. Lagunin, Alexey A. Lagunin

“…In this study, we have developed classification sequence-structure-property relationships (SSPR) models for predicting the pathogenicity of amino acid substitutions (AAS) in 25 proteins associated with the most important and genetically studied PIDs and encoded genes: IL2RG, JAK3, RAG1, RAG2, ADA, DCLRE1C, CD40LG, WAS, ATM, STAT3, KMT2D, BTK, FOXP3, AIRE, FAS, ELANE, ITGB2, CYBB, G6PD, GATA2, STAT1, IFIH1, NLRP3, MEFV, and SERPING1.MethodsThe data on 4825 pathogenic and benign AASs in the selected proteins were extracted from ClinVar and gnomAD. …”
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Evolution of the Structure of Double-Layer Technology Cooperation-Transfer Networks and Its Impact on Innovation Capabilities by Chen Yuling, Xing Hexiang, Du Debin

“…Therefore, this study constructed a double-layer innovation network for the Yangtze River Delta for the period 2010 to 2019 based on patent collaboration and transfer data. It characterizes the basic evolutionary features of this double-layer network, analyzes the structural development differences between the collaboration and transfer subnetworks, investigates the dynamics of their coupling evolution, and explores the spatial spillover effects of the dual-layer network structure on urban innovation capacity. …”
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Cardiometabolic state links neurovascular burden with brain structure and function: Evidence from EEG and MRI by Daniel Franco-O’Byrne, Ana M. Castro-Laguardia, Carolina Delgado, James M. Shine, David Huepe, Raul González-Gomez, Enzo Tagliazucchi, Cecilia Gonzalez-Campo, Agustín Ibañez, Vicente Medel

“…Aging affects brain structure and function alongside metabolic and vascular processes leading to energetic impairments. …”
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Structural and Functional Characterization of the Most Frequent Pathogenic PRKN Substitution p.R275W by Bernardo A. Bustillos, Liam T. Cocker, Mathew A. Coban, Caleb A. Weber, Jenny M. Bredenberg, Paige K. Boneski, Joanna Siuda, Jaroslaw Slawek, Andreas Puschmann, Derek P. Narendra, Neill R. Graff-Radford, Zbigniew K. Wszolek, Dennis W. Dickson, Owen A. Ross, Thomas R. Caulfield, Wolfdieter Springer, Fabienne C. Fiesel

“…The functional analysis was accompanied by structural investigation of PRKN p.R275W. We observed lower PRKN protein in fibroblasts with compound heterozygous p.R275W mutations. …”
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Role of air pollution exposure in the alteration of brain cortical structure: A Mendelian randomization study by Chaojuan Huang, Zimei Cheng, Xu Wu, Zhiwei Li, Mingxu Li, Xingliang Feng, Yuyang Zhang, Qian Zhao

“…Conclusions: Our exploration established causal relationships between air pollution exposure and brain cortical structure, underscoring the significance of mitigating air pollution to preserve brain cortical morphology.…”
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Phylogenetic Structure Shifts Across Life-History Stages in Response to Microtopography and Competition in Subtropical Forests by Weiqi Meng, Haonan Zhang, Lianhao Sun, Jianing Xu, Yajun Qiao, Haidong Li

“…This study focuses on a subtropical evergreen broad-leaved forest in China, utilizing a large permanent plot established in the Yaoluoping National Nature Reserve. By integrating data from a full-stem census and total station surveying, we analyzed the phylogenetic structure of the plant community as a whole and across different life-history stages (saplings, juveniles, and adults) while quantitatively assessing microtopographic variables and an interspecific competition index. …”
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