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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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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Relationships between structural stigma, societal stigma, and minority stress among gender minority people by Kristen D. Clark, Mitchell R. Lunn, Jae M. Sevelius, Carol Dawson-Rose, Sandra J. Weiss, Torsten B. Neilands, Micah E. Lubensky, Juno Obedin-Maliver, Annesa Flentje

“…We tested variables identified in the literature as measures of structural stigma inclusive of societal stigma (LGBT + Business Climate Index, state voting behaviors, and Google Trends search data), the most commonly used structural stigma variable (State Policy Environment Tally), and proxy variables (region, population density) for comparison. …”
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Tracing the aggregation pathway of the scaffold protein DISC1: Structural implications for chronic mental illnesses by Abhishek Cukkemane, Nina Becker, Tatsiana Kupreichyk, Henrike Heise, Dieter Willbold, Oliver H. Weiergräber

“…Disrupted in schizophrenia 1 (DISC1) is a pleiotropic scaffold protein that is postulated to comprise large disordered regions and four distinct structured segments with a high proportion of helical or coiled-coil fold. …”
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Development and distribution characteristics of geohazards based on sedimentary-structural evolution in Xide County, southwest Sichuan by Xiaohui XIONG, Yongjian BAI, Yongbo TIE, Yanchao GAO, Hua GE, Wei XU, Lingfeng GONG, Jiazhu WANG, Kai TIAN, Menglong HE, Zhihua ZHU

“…The wide and gentle fold structures in red beds are the disaster-prone environment for landslide. …”
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Genomic structural equation modeling reveals latent phenotypes in the human cortex with distinct genetic architecture by Rajendra A. Morey, Yuanchao Zheng, Henry Bayly, Delin Sun, Melanie E. Garrett, Marianna Gasperi, Adam X. Maihofer, C. Lexi Baird, Katrina L. Grasby, Ashley A. Huggins, Courtney C. Haswell, Paul M. Thompson, Sarah Medland, Daniel E. Gustavson, Matthew S. Panizzon, William S. Kremen, Caroline M. Nievergelt, Allison E. Ashley-Koch, Mark W. Logue

“…Even though we observed model instability in our application of genomic SEM to high-dimensional data, jointly modeling the genetic architecture of complex traits and investigating multivariate genetic links across neuroimaging phenotypes offers new insights into the genetics of cortical structure and relationships to psychopathology.…”
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Presence of Pain Shows Greater Effect than Tendon Structural Alignment During Landing Dynamics by Silvia Ortega-Cebrián, Diogo C. F. Silva, Daniela F. Carneiro, Victor Zárate, Leonel A. T. Alves, Diana C. Guedes, Carlos A. Zárate-Tejero, Aïda Cadellans-Arróniz, António Mesquita Montes

“…This study aims to investigate the relationship between tendon structure, presence of pain, and sex differences in landing kinematics and kinetics during countermovement jumps (CMJ) and tuck jump tests (TJT) in professional volleyball players. …”
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Structural placental changes in women with intra-pregnancy novel coronavirus infection COVID-19 (review) by A. V. Yakimova, S. Yu. Borovaya, V. R. Mukhamedshina, N. S. Datsenko, S. G. Kucherenko, I. M. Pozdnyakov, E. V. Nikitenko

“…In those that were excluded from the review, information about the clinical course of pregnancy and its outcome during novel coronavirus infection prevailed, or isolated cases of studying insignificant placental structural changes were discussed. Studies with a small number of observations were selected only in the case of the uniqueness of the published data, the absence of scientific papers where similar studies would have been conducted in larger sample.Results. …”
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The structural and functional brain alternations in tobacco use disorder: a systematic review and meta-analysis by Longyao Ma, Longyao Ma, Qiuying Tao, Qiuying Tao, Jinghan Dang, Jinghan Dang, Jieping Sun, Jieping Sun, Xiaoyu Niu, Xiaoyu Niu, Mengzhe Zhang, Mengzhe Zhang, Yimeng Kang, Yimeng Kang, Weijian Wang, Weijian Wang, Jingliang Cheng, Jingliang Cheng, Yong Zhang, Yong Zhang

“…Consequently, it is important to utilize relevant coordinate data for a comprehensive meta-analysis to identify the shared patterns of structural, functional, and multimodal alternations in TUD.MethodThe present study conducted a systematic retrieval of studies published on PubMed, Web of Science, and Scopus from January 1, 2010, to December 12, 2023, to identify studies on voxel-based morphometry (VBM) and resting-state functional magnetic resonance imaging (rs-fMRI) for TUD. …”
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Divergent trajectories to structural diversity impact patient survival in high grade serous ovarian cancer by Ailith Ewing, Alison Meynert, Ryan Silk, Stuart Aitken, Devin P. Bendixsen, Michael Churchman, Stuart L. Brown, Alhafidz Hamdan, Joanne Mattocks, Graeme R. Grimes, Tracy Ballinger, Robert L. Hollis, C. Simon Herrington, John P. Thomson, Kitty Sherwood, Thomas Parry, Edward Esiri-Bloom, Clare Bartos, Ian Croy, Michelle Ferguson, Mairi Lennie, Trevor McGoldrick, Neil McPhail, Nadeem Siddiqui, Rosalind Glasspool, Melanie Mackean, Fiona Nussey, Brian McDade, Darren Ennis, The Scottish Genomes Partnership, Lynn McMahon, Athena Matakidou, Brian Dougherty, Ruth March, J. Carl Barrett, Iain A. McNeish, Andrew V. Biankin, Patricia Roxburgh, Charlie Gourley, Colin A. Semple

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Pharmacological and structural characterization of vibostolimab, a novel anti-TIGIT blocking antibody for cancer immunotherapy by Hongmei Wang, Maribel Beaumont, Wendy Blumenschein, Laurence Fayadat-Dilman, Mingmei Cai, Jing Yuan, Douglas Wilson, Thierry O Fischmann, Jeanne Baker, Tanya Keenan, Daniel Malashock, Eunseon Ahn, Komal Pradhan, Jeffery Grein, Srishti Chakravorty, Soheila Bahmanjah, David Ban, Ellen Chien, Mark Hsieh, Todd Mayhood, Janica C Wong, Mark A McCoy, Sybil M G Williams, Wolfgang Seghezzi, Jin-Hwan Han

“…The mouse surrogate anti-TIGIT antibodies were identified and used to extensively investigate the mechanism of action of anti-TIGIT antibodies as monotherapy or in combination with anti-programmed cell death protein-1 (PD-1) antibody in vivo by gene expression profiling and flow cytometry analyses with a mouse syngeneic tumor model.Results Structural analyses with solution NMR and X-ray crystallography revealed that vibostolimab binds the CC’C’’FG loop interface of TIGIT, completely competing for the binding site of CD155 with a larger coverage area than another anti-TIGIT antibody tiragolumab, consistent with surface plasmon resonance analysis, though mouse models with similar antibodies revealed no functional difference in antitumor efficacy. …”
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Explaining the Effects of Geotourism on the Development of Entrepreneurship in City- Village Ghori-Ghalhe with Structural Equation Approach by Davood Jamini, Mmnad Salari, Himan Shahabi

“…Finally, the results of final model of fitted structural equation for geotourism effect (as the independent variable of studdy) on entrepreneurship development (as dependent variable) among households of QuriQalhe showed that geotourism, at a confidence level of 99%, has a significant effect on the development of entrepreneurship and its indicators. …”
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A Novel Shape Classification Approach Based on Branch Length Similarity Entropy by Sang-Hee Lee, Cheol-Min Park

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A whole-brain voxel-based analysis of structural abnormalities in PTSD: An ENIGMA-PGC study by Cheryl R.Z. See, Shuqing Si, C. Lexi Baird, Courtney C. Haswell, Ahmed Hussain, Miranda Olff, Dick J. Veltman, Jessie L. Frijling, Mirjam van Zuiden, Saskia B.J. Koch, Laura Nawijn, Li Wang, Ye Zhu, Gen Li, Yuval Neria, Xi Zhu, Benjamin Suarez-Jimenez, Sigal Zilcha-Mano, Amit Lazarov, Jennifer S. Stevens, Kerry Ressler, Negar Fani, Tanja Jovanovic, Sanne J.H. van Rooij, Milissa L. Kaufman, Lauren A.M. Lebois, Isabelle M. Rosso, Elizabeth A. Olson, Justin T. Baker, Scott R. Sponheim, Seth G. Disner, Nicholas D. Davenport, Amit Etkin, Adi Maron-Katz, Murray B. Stein, Martha E. Shenton, Dan J. Stein, Jonathan Ipser, Sheri-Michelle Koopowitz, Soraya Seedat, Stefan du Plessis, Leigh L. van den Heuvel, Shmuel Lissek, Hannah Berg, Thomas Straube, David Hofman, Lee A. Baugh, Gina L. Forster, Raluca M. Simons, Jeffrey S. Simons, Vincent A. Magnotta, Kelene A. Fercho, Xin Wang, Andrew S. Cotton, Erin N. O’Leary, Hong Xie, Daniel W. Grupe, Jack B. Nitschke, Richard J. Davidson, Christine L. Larson, Terri A. deRoon-Cassini, Carissa W. Tomas, Jacklynn M. Fitzgerald, Jennifer Urbano Blackford, Bunmi O. Olatunji, Evan M. Gordon, Geoffrey May, Steven M. Nelson, Ruth Lanius, Jean Théberge, Maria Densmore, Richard W.J. Neufeld, Chadi G. Abdallah, Christopher L. Averill, Ilan Harpaz-Rotem, Ifat Levy, John H. Krystal, Elbert Geuze, Remko van Lutterveld, Emily L. Dennis, David F. Tate, David X. Cifu, William C. Walker, Elisabeth A. Wilde, Nic J.A. van der Wee, Robert R.J.M. Vermeiren, Steven J.A. van der Werff, Katie McLaughlin, Kelly Sambrook, Matthew Peverill, Joaquim Radua, Lauren E. Salminen, Neda Jahanshad, Sophia I. Thomopoulos, Anthony James, Lucia Valmaggia, Paul M. Thompson, Rajendra A. Morey, Matthew J. Kempton

“…In the current study, we have conducted a voxel-based morphometry (VBM) meta-analysis using whole-brain statistical maps with neuroimaging data from the ENIGMA-PGC PTSD working group. Methods T1-weighted structural neuroimaging scans from 36 cohorts (PTSD n = 1309; controls n = 2198) were processed using a standardized VBM pipeline (ENIGMA-VBM tool). …”
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Visual Perception of Environmental Elements Analysis in Historical District Based on Eye-Tracking and Semi-Structured Interview: A Case Study in Xining, Taishan by Xing Jiang, Xinxiang Wu, Fangting Chen, Zonghan Chen, Ziang Li

“…Based on this, the non-subjective eye movement data and subjective impression of the subject were collected through an eye-tracking experiment and semi-structured interview. …”
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Efficacy of structured exercise and oat supplementation for treating non-alcoholic fatty liver disease: protocol of a randomized controlled trial by Jiahui Yin, Lianying Wang, Ran Li, Xiaoguang Cheng, Haibo Wang, Yufeng Li

“…Discussion There are limited data on the efficiency of structured exercise and oat supplementation for NAFLD treatment. …”
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The effect of the application of feedback on second-stage labor companion skills and Objective Structured Clinical Examination results of associate degree midwifery students by Sri Y. Mile, Budu Budu, Mardiana Ahmad, Sutina Made

“…Proficiency in second-stage labor companions is a core competency for midwives. The Objective Structured Clinical Examination (OSCE) assesses midwife competency. …”
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Composite likelihood inference for analysis of individual animal identification data by Xueli Xu, Xiaoyue Zhang, Hal Whitehead, Dehan Kong, Ximing Xu

Subjects: “…Individual identification data…”
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Neglected flow direction detection in landfill water cycle: Precise characterization of leachate distribution through joint inversion of electrical resistivity and self-potential d... by Xiaochen Sun, Xu Qian, Ya Xu, Changxin Nai, Yuqiang Liu

“…To accurately quantify this concealed hydrological process, we propose a method for detecting leachate leakage based on joint inversion of multi-source geophysical exploration data. By integrating multiple geophysical exploration data (resistivity and self-potential information), we reconcile the spatial differences in different exploration data to improve the accuracy of leachate and its pollution plume imaging. …”
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Support vector regression model for the prediction of buildings’ maximum seismic response based on real monitoring data by Dongwang Tao, Shizhe Fang, Haixu Liu, Jianqi Lu, Jiang Wang, Qiang Ma

“…Existing machine learning based prediction models mainly rely on numerical simulation data or structural experiments and are not appropriate for prediction of seismic response of real structures. …”
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