Structural variants linked to Alzheimer’s disease and other common age-related clinical and neuropathologic traits by Ricardo A. Vialle, Katia de Paiva Lopes, Yan Li, Bernard Ng, Julie A. Schneider, Aron S. Buchman, Yanling Wang, Jose M. Farfel, Lisa L. Barnes, Aliza P. Wingo, Thomas S. Wingo, Nicholas T. Seyfried, Philip L. De Jager, Chris Gaiteri, Shinya Tasaki, David A. Bennett

“…Large genomic rearrangements, known as structural variants (SVs), represent a promising avenue for elucidating such mechanisms within some of these loci. …”
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Algorithm of athletes’ fitness structure individual features’ determination with the help of multidimensional analysis (on example of basketball) by Zh.L. Kozina, M. Cieslicka, K. Prusik, R. Muszkieta, I.N. Sobko, O.A. Ryepko, T.A. Bazilyuk, S.B. Polishchuk, A.V. Osiptsov, S.A. Korol

“…In every micro-cycle 30% is assigned for athletes’ individual training: athletes received individual tasks; groups on the base of cluster analysis data were formed, if necessary. Conclusions: when working out individual training programs, development of leading factors in individual factorial structure of athletes’ fitness shall be accented. …”
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Functional connectivity of fMRI using differential covariance predicts structural connectivity and behavioral reaction times by Yusi Chen, Qasim Bukhari, Tiger W. Lin, Terrence J. Sejnowski

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NBS-SNI, an extension of the network-based statistic: Abnormal functional connections between important structural actors by Francis Normand, Mehul Gajwani, Daniel C. Côté, Antoine Allard

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Weighting the structural connectome: Exploring its impact on network properties and predicting cognitive performance in the human brain by Hila Gast, Yaniv Assaf

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Dataset of benthic foraminiferal community structure from sediment eDNA of Sundarbans mangrove ecosystemNCBI by Arkaprava Mandal, Anwesha Ghosh, Gauraw Kumar, Punyasloke Bhadury

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Gridded Population Structure Datasets for the Indus River Basin under Shared Socioeconomic Pathways 2020–2100 by Barira Haider, Cheng Jing, Buda Su, Muhammad Asad Hussain, Arshad Ashraf, Jinlong Huang, Yanjun Wang, Tong Jiang

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The association between recent stressful life events and brain structure: a UK Biobank longitudinal MRI study by Cheryl R.Z. See, Annabel X. Tan, Lucia R. Valmaggia, Matthew J. Kempton

“…However longitudinal studies investigating the association between stress and changes in brain structure are limited. Methods The current study uses longitudinal data from the UK Biobank and comprises 4,543 participants with structural neuroimaging and recent SLE data (mean age = 61.5 years). …”
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From 3D reality-based models to volumes for structural analysis: some critical issues by Sara Gonizzi Barsanti, Juergen Juergen Frick

“…These models can be used for different purposes, from documentation to visualization to structural analysis. The point clouds usually contain noise data due to different causes: non-cooperative material or surfaces, bad lighting, complex geometry, and low accuracy of the instruments utilized. …”
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An AIoT Architecture for Structural Testing: Application to a Real Aerospace Component (Embraer E2 Model Aircraft Flag Track) by Pablo Venegas, Unai Virto, Isidro Calvo, Oscar Barambones

“…This study presents one AIoT architecture aimed at structurally testing aeronautical applications that ease the integration of AI techniques to interpret the data obtained by wireless IoT devices. …”
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Structural Activity Relationship Analysis of New Diphenyl PFI-3 Analogues Targeting for the Treatment of Glioblastoma by Dong-Jin Hwang, Chuanhe Yang, Yinan Wang, Hannah Kelso, Satyanarayana Pochampally, Lawrence M. Pfeffer, Duane D. Miller

“…<b data-eusoft-scrollable-element="1">Results</b>: Following on the enhanced activity of compounds <b data-eusoft-scrollable-element="1">2a</b> and <b data-eusoft-scrollable-element="1">2b</b>, new diphenyl PFI-3 analogs with specific structural adjustments were made to better understand the structural requirements to optimize function. …”
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Effects of Government Maize Policies on Structural Transformation for Sustainable Maize Farming in Kitui County, Kenya by Patrick Mboya Kutu, Daniel M. Kitonga

“… The purpose of this study was to determine the effects of government maize policies on structural transformation for sustainable maize farming in Kitui County, Kenya. …”
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Three-Dimensional Reconstruction of Road Structural Defects Using GPR Investigation and Back-Projection Algorithm by Lutai Wang, Zhen Liu, Xingyu Gu, Danyu Wang

“…Ground-Penetrating Radar (GPR) has demonstrated significant advantages in the non-destructive detection of road structural defects due to its speed, safety, and efficiency. …”
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Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. by Michael E Kim, Chenyu Gao, Nancy R Newlin, Gaurav Rudravaram, Aravind R Krishnan, Karthik Ramadass, Praitayini Kanakaraj, Kurt G Schilling, Blake E Dewey, David A Bennett, Sid O'Bryant, Robert C Barber, Derek Archer, Timothy J Hohman, Shunxing Bao, Zhiyuan Li, Bennett A Landman, Nazirah Mohd Khairi, Alzheimer’s Disease Neuroimaging Initiative, HABS-HD Study Team

“…Thus, there is a need to visually inspect every output of data processing pipelines in a scalable manner. We design a QC pipeline that allows for low time cost and effort across a team setting for a large database of diffusion-weighted and structural magnetic resonance images. …”
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A Parsimonious Yet Robust Regression Model for Predicting Limited Structural Responses of Remote Sensing by Alireza Entezami, Bahareh Behkamal, Carlo De Michele, Stefano Mariani

“…Small data analytics, at the opposite extreme of big data analytics, represent a critical limitation in structural health monitoring based on spaceborne remote sensing technology. …”
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An integrated system for building structural health monitoring and early warning based on an Internet of things approach by Jun Wang, Yongfeng Fu, Xiaokang Yang

“…An extensible markup language (XML)–based uniform data parsing model is proposed to abstract the various message formats of heterogeneous devices to ensure data integration. …”
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STRUCTURAL SYNTHESIS OF NAVIGATION SUPPORT OF TRIAD INTEGRATED NAVIGATION SYSTEM ON THE BASIS OF INERTIAL AND SATELLITE TECHNOLOGIES by V. S. Maryukhnenko, V. V. Erokhin

“…In this work the triadic structure of a promising integrated navigation system based on inertial and satellite technologies is proposed. …”
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Using Structural Class Pairing to Address the Spatial Mismatch Between GEDI Measurements and NFI Plots by Nikola Besic, Sylvie Durrieu, Anouk Schleich, Cedric Vega

“…Beginning with the prediction of profile structural classes and shapes on NFI plots, the proposed method ultimately projects actual measurements onto the NFI plot sites through profile pairing within the predicted structural classes. …”
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A Revised Counter-Propagation Network Model Integrating Rough Set for Structural Damage Detection by Shao-Fei Jiang, Chun Fu, Chun-Ming Zhang, Zhao-Qi Wu

“…This paper proposes a revised counter-propagation network (CPN) model by integrating rough set in structural damage detection, applicable for processing redundant and uncertain information as well as assessing structural health states. …”
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STRUCTURAL STRENGTH AND LIFE ANALYSIS OF AN ELECTRIC DRIVE AXLE SHELL BASED ON THE MEASURED LOAD SPECTRUM by JIANG Liangxing, NI Dacheng, YAO Chao, HUANG Qing, QING Xinhui

“…Accurately predicting the fatigue life of products plays an important role in the structural strength design and reliability design of key components of electric vehicles.Starting from the measured road load spectrum of the reinforced road, a method for data processing and analysis of measured load spectrum was proposed, based on the Miner criterion, the load data of the vehicle under no-load, half-load and full load were obtained, and the key data for vibration simulation analysis and indoor bench test were obtained through time-domain frequency domain processing and damage equivalent treatment.A parallel-shaft electric drive axle was designed and developed, the statics analysis and modal analysis were carried out for key components such as the bridge shell, and the results concluded that the bridge shell would not have torsion and bending caused by road surface excitation.Based on nCode DesignLife simulation analysis software, the fatigue life and damage value distribution of the bridge shell were obtained, and the accuracy of the simulation analysis was verified by the bridge shell durability test.Based on the measured road load spectrum of the reinforced road, a 15 000 km vehicle vibration test was carried out on the vehicle vibration test bench for the electric drive axle.The test shows that the overall life and reliability of the electric drive axle meet the design requirements, and the reliability of the analysis method is verified.…”
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