Data Science in Order and Disorder of High-Entropy Materials by Jiasheng Wang, Jianzhong Jiang, Peter K. Liaw, Guihong Geng, Yong Zhang

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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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KNOWLEDGE OF ASSERTIVENESS AMONG ALCOHOLIC DEPENDENTS by S Saravanan

“…Assertiveness scale was used to collect the pre and post-test data from the subjects. The structured teaching program regarding assertiveness was given by dividing subjects into 6 groups. …”
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Faktor-Faktor Yang Mempengaruhi Struktur Modal Pada Perusahaan Pertambangan Yang Terdaftar Di Bursa Efek Indonesia Periode 2013-2017 by Zul Hendri, Deni Agusrianti

“…The tool for analyzing research data is using SMART PLS. The results of the study stated that company size (X1) had no effect on capital structure (Y), profitability (X2) had no effect on capital structure (Y), company growth (X3) had no effect on capital structure (Y), and asset structure (X4 ) affect the capital structure (Y).…”
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Integrating AlphaFold pLDDT Scores into CABS-flex for enhanced protein flexibility simulations by Karol Wróblewski, Sebastian Kmiecik

“…The results showed improved alignment of flexibility predictions with the MD data compared to previous restraint schemes. The integration of pLDDT scores also offers a new perspective on protein flexibility by incorporating structural confidence into the analysis. …”
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Multi-detachment-controlled thrust structures and deep hydrocarbon exploration targets in southern margin of Junggar Basin, NW China by Baoli YU, Chengzao JIA, Keyu LIU, Yong DENG, Wei WANG, Peng CHEN, Chao LI, Jia CHEN, Boyang GUO

“…Based on the latest 3D seismic, gravity-magnetic, and drilling data, together with the results of previous structural physical simulation and discrete element numerical simulation experiments, the spatial distribution of pre-existing paleo-structures and detachment layers in deep strata of southern Junggar Basin were systematically characterized, the structural deformation characteristics and formation mechanisms were analyzed, the distribution patterns of multiple hydrocarbon source rock suites were clarified, and hydrocarbon accumulation features in key zones were reassessed. …”
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Geological structure and occurrence conditions of the Bazhenov formation within THE South Tambey gas condensate field by A. A. Rasskazov, G. N. Potemkin

“…Determination of the structural features and occurrence conditions of the Bazhenov formation.Materials and methods. …”
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Lineament extraction and structural mapping using Landsat-9 OLI and Sentinel-1 SAR data in the Proterozoic North Singhbhum Mobile Belt, Eastern India by Nandini Choudhury, Atin Kumar Mitra, Biswajit Nath, Mark D Lindsay

“…The present study explores the application of Landsat-9 OLI and Sentinel-1 SAR data for effective lineament extraction and structural mapping in the Proterozoic North Singhbhum Mobile Belt, Eastern India, an area characterized by complex geological and significant tectonic history. …”
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[ReS4]⊖, [ReS9]⊖, [ReOS8]⊖: Simple Synthesis with Sx2⊖ Solutions, Structural Data, and 185/187Re-NMR studies by Achim Müller, Erich Krickemeyer, Hartmut Bögge, Michael Penk, Dieter Rehder

“… Simple preparation procedures for the compounds [(C2H5)4N][ReS4] and [(C6H5)4P][ReS9]0.7[ReOS8]0.3 – the latter containing new simple polysulfido complexes – together with their structural data and the 185/187Re-NMR spectra of [ReO4]⊖ and [ReS4]⊖ are reported. …”
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Heterogeneous panel data model with sharp and smooth changes: Testing green growth hypothesis in G7 countries by Hasraddin Guliyev

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Analysis of unmapped regions associated with long deletions in Korean whole genome sequences based on short read data by Yuna Lee, Kiejung Park, Insong Koh

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Mediating effect of pubertal stages on the family environment and neurodevelopment: An open-data replication and multiverse analysis of an ABCD Study® by Michael I. Demidenko, Dominic P. Kelly, Felicia A. Hardi, Ka I. Ip, Sujin Lee, Hannah Becker, Sunghyun Hong, Sandra Thijssen, Monica Luciana, Daniel P. Keating

“…Recent work from the Adolescent Brain Cognitive Development (ABCD) Study® suggests that puberty may indirectly account for some association between the family environment and brain structure and function (Thijssen et al., 2020). However, a limited number of large studies have evaluated what, how, and why environmental factors impact neurodevelopment. …”
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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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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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Distributed energy sharing algorithm for Micro Grid energy system based on cloud computing by Wenwei Su, Yan Shi

Subjects: “…Data Structures…”
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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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