On Design and Development of Wood-Concrete Bridge Structure by Vladimir A. Utkin, Pavel N. Kobzev, Evgeny E. Basich, Victoria V. Skiba

“…Further the authors consider the experience of application of bridges with glulam girders and design solutions for the combined timber-concrete span structure. Based on the survey data for the bridges in Omsk region, the authors present the experience of bridge operation and maintenance for structures with board-nail blocks and driveway slab with a cross-laid beams. …”
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Sentence Structure Analysis in Patients with Ischemic Stroke by Janice L. Hinkle, Rudolf Cymorr Kirby P. Martinez

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Transition state structure detection with machine learningś by Yitao Si, Yiding Ma, Tao Yu, Yifan Wu, Yingzhe Liu, Weipeng Lai, Zhixiang Zhang, Jinwen Shi, Liejin Guo, Oleg V. Prezhdo, Maochang Liu

“…Abstract Transition structure calculations via quantum chemistry methods have become a staple in modern chemical reaction research. …”
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INDICATORS OF THE PHYSICAL CONDITION AND DISEASE STRUCTURE IN THE ELDERLY by Вера Александровна Погодина, Анатолий Иванович Бабенко, Анастасия Владимировна Половникова, Евгений Анатольевич Бабенко

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Silkworm segmentation based on encoder-decoder structure by Huimin Zhuang, Zicheng Liu, Jianping Dong, Dequan Guo, Guoquan Yuan, Bo Liu, Yu Liu

“…However, challenges related to data integrity, computing resources sufficiency, and deep learning models deploying. …”
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The risks of internet addiction: Structure and characteristics of perception by G. F. Romashkina, R. R. Khuziakhmetov

“…The authors carried out a detailed socio-statistical analysis of internet risks for children based on the self-assessments of all respondents (with the identification of socio-demographic groups), risk assessments for children, according to parents. The structure of “Parents” sub-sample on gender and settlement type is proportional to the structure of the main sample. …”
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A novel сalcium trifluoroacetate structure by A. A. Vasilyeva, T. Yu. Glazunova, D. S. Tereshchenko, E. Kh. Lermontova

“…The complex was deposited in the Cambridge Structural Data Bank with a deposit number CCDC 2081186. …”
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Biodiversity Information of benthic Species at ARtificial structures – BISAR by Jennifer Dannheim, Paul Kloss, Jan Vanaverbeke, Ninon Mavraki, Mirta Zupan, Vanessa Spielmann, Steven Degraer, Silvana N. R. Birchenough, Urszula Janas, Emma Sheehan, Katharina Teschke, Andrew B. Gill, Zoe Hutchison, Drew A. Carey, Michael Rasser, Jolien Buyse, Babeth van der Weide, Oliver Bittner, Paul Causon, Roland Krone, Marco Faasse, Alexa Wrede, Joop W. P. Coolen

“…BISAR is the first data product containing harmonised and quality-checked international data on benthos from artificial structures in the North Sea. …”
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THE EFFECT OF GIVING ILL-STRUCTURED MATH PROBLEM AND WELL-STRUCTURED MATH PROBLEM ON THE SELF-EFFICACY OF JUNIOR HIGH SCHOOL STUDENTS by Indri Aninda Rahmasari, Susanah Susanah

“… This study aimed to determine the effect of giving ill-structured problems and well-structured problems to students' self-efficacy. …”
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The profound implications of mitochondrial myopathy on activities of daily living: an observational qualitative study of standardized structured and semi-structured patient intervi... by Elizabeth M. McCormick, James T. Peterson, Joaquim Diego D. Santos, Jean Flickinger, Rui Xiao, Richard Haas, Zarazuela Zolkipli-Cunningham

“…Design: We conducted a single-center, observational, qualitative study that involved standardized structured and semi-structured patient interviews. Methods: Most interview questions were open-ended, allowing individuals to provide personalized narratives that were transcribed in real time. …”
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Design and Validation of the MANTiS-32 Wireless Monitoring System for Real-Time Performance-Based Structural Assessment by Jaehoon Lee, Geonhyeok Bang, Yujae Lee, Gwanghee Heo

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Investigating heterogeneity across autism, ADHD, and typical development using measures of cortical thickness, surface area, cortical/subcortical volume, and structural covariance by Younes Sadat-Nejad, Younes Sadat-Nejad, Marlee M. Vandewouw, Marlee M. Vandewouw, R. Cardy, J. Lerch, J. Lerch, J. Lerch, M. J. Taylor, M. J. Taylor, A. Iaboni, C. Hammill, B. Syed, J. A. Brian, J. A. Brian, E. Kelley, E. Kelley, E. Kelley, M. Ayub, J. Crosbie, J. Crosbie, R. Schachar, R. Schachar, S. Georgiades, R. Nicolson, E. Anagnostou, E. Anagnostou, A. Kushki, A. Kushki

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The Estimating of the Conditional Density with Application to the Mode Function in Scalar-On-Function Regression Structure: Local Linear Approach with Missing at Random by Wahiba Bouabsa

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A Predictive Method for Unplanned Postoperative Readmission Risk Based on Heterogeneous Data by Kai YU, Xiaofeng DONG, Zhenming YUAN, Zhaojian CUI, Weibin LUO

Subjects: “…heterogeneous data…”
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An Improved Method for Single Tree Trunk Extraction Based on LiDAR Data by Jisheng Xia, Sunjie Ma, Guize Luan, Pinliang Dong, Rong Geng, Fuyan Zou, Junzhou Yin, Zhifang Zhao

“…This study uses three-dimensional (3D) forest test data and point cloud data simulated by the Helios++ V1.3.0 software, and proposes a voxelized trunk extraction algorithm to determine the trunk location and the vertical structure of single tree trunks in forest areas. …”
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The genetic structure and diversity of smallholder dairy cattle in Rwanda by Oluyinka Opoola, Felicien Shumbusho, Innocent Rwamuhizi, Isidore Houaga, David Harvey, David Hambrook, Kellie Watson, Mizeck G. G. Chagunda, Raphael Mrode, Appolinaire Djikeng

“…To assess the genetic structure and diversity of the current population, key analyses for population structure were applied: Principal Component Analysis (PCA), population structure and diversity, admixture analysis, measures of heterozygosity, runs of homozygosity (ROH) and minor allelic frequency (MAF). …”
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A Novel Skeletonization Algorithm for Topologically Complex Structures: Comparative Analysis and Application to Renal Arterial Trees by Katarzyna Heryan, Stefan-Daniel Caliman

“…These datasets pose challenges due to the complexity of the vascular tree, making it difficult to convert raw <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-CT data into meaningful representations. Without proper reconstruction, skeletonization, and graph representation, raw <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-CT data remains an unstructured point cloud, unsuitable for quantitative analysis. …”
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Analysis of retirees' knowledge return in the supply chain of Isfahan Refinery with a combined approach of interpretive structural modeling and structural equation modeling by Mehran Ziaeian, Somayeh Ahmadzadeh, Abdolrasoul Yazdi

“…In order to confirm or reject the conceptual model, the structural equation modeling approach and Smart PLS3 software were used. …”
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Decomposing the Sri Lanka Yield Curve Using Principal Component Analysis to Examine the Term Structure of the Interest Rate by K P N Sanjeewa Dayarathne, Uthayasanker Thayasivam

“…Our analysis encompasses data spanning from January 2010 to August 2022. The study applied several PCA variants such as multivariate PCA, Randomized PCA, Incremental PCA, Sparse PCA, Functional PCA, and Kernel PCA on smoothed data. …”
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Understanding street-exposure and abuse among street-involved children and youth in Kenya: structural intervention insights from routinely collected program data by Michael Goodman, Kelvin Munene, Nora Gardner, Stanley Gitari

“…Background Street-involved children and youth (SICY) face significant challenges, including structural and social exclusion, and multiple forms of abuse. …”
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