Detection of Structural Control on Formation Water Quality, in Hemrin Oilfield, northern Iraq, Using Lineament Analysis and Hydrochemical Data by Faraj Ahmed Al-Sulaiman, Sameer Shaker Abbas Al Fahdawi, Sabbar Abdullah Saleh Al Qaisy

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Indicator-Type Grey Structure Incidence Analysis Method for Panel Data and Its Application in Identifying Technological Innovation Factors by Shuqin Gu, Yong Liu, Lu Yue

“…There exist many panel data decision problems in real life, and they take on obvious structural similarities and lag effects among decision objects or indicators, which are difficult to solve effectively based on traditional panel data analysis methods. …”
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Intelligent Computerized Video Analysis for Automated Data Extraction in Wave Structure Interaction; A Wave Basin Case Study by Samuel Hugh Wolrige, Damon Howe, Hamed Majidiyan

“…Despite advancements in direct sensing technologies, accurately capturing complex wave–structure interactions remain a significant challenge in ship and ocean engineering. …”
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Application of the polynomial chaos expansion method for forecasting structural response of two full-scale case studies by Georgijev Viktor, Bogoevska Simona

Subjects: “…structural health monitoring…”
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A large-scale dataset of AI-related tweets: Structure and descriptive statisticsGitHubDataverse by Nathalie de Marcellis-Warin, Daniel Kouloukoui, Thierry Warin

“…The final dataset includes structured metadata such as media elements (images, videos, and URLs), user engagement metrics (likes, retweets, replies), hashtags, language codes, and temporal indicators (hour and weekday of posting). …”
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Applying Structural Equation Modeling to Second-language (L2) Research: Key Concepts and Fundamental Reconsiderations by حسام الدین قنبر

Subjects: “…structural equation modeling…”
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Graph Neural Networks for Analyzing Trauma-Related Brain Structure in Children and Adolescents: A Pilot Study by Harim Jeong, Minjoo Kang, Shanon McLeay, R. J. R. Blair, Unsun Chung, Soonjo Hwang

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Longitudinal analysis of lower limb muscle activity and ankle tendon biosignals using structural equation modeling by Tatsuhiko Matsumoto, Yutaka Kano

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Analysis of strengths, weaknesses, opportunities, and threats: Analytical hierarchy process based dental waste management in Odisha by Somalee Mahapatra, Manoranjan Dash, Subhashis Mohanty

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Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics by Mohamed Salem, Witesyavwirwa Vianney Kambale, Ali Deeb, Sergii Tkachov, Anjeza Karaj, Joachim Pichler, Manuel Ludwig Lexer, Kyandoghere Kyamakya

“…The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, where data scarcity and confidentiality constraints limit model training. …”
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The changes of left cardiac structure and function in the patients with non-dialysis chronic kidney disease and influencing factors by CHEN Cai-ming, CHEN Yuan, CHEN Yi, ZHANG Xiao-hong, WAN Jian-xin

“…Objective To analyze the changes of left ventricular structure and function in the patients with non-dialysis chronic kidney disease(ND-CKD)and the influencing factors.Methods The ND-CKD patients were enrolled from Jan.2013 to July 2014 in our hospital.All patients were subjected to echocardiography and the indexes were collected.Also the clinical data were collected.The indexes of left ventricular structure and function among different CKD groups were analyzed,and the correlation between the changes of cardiac structure and function were clinical data were also analyzed.Results 337 ND-CKD patients were enrolled,including 71 patients with CKD1 stage,37 patientswith CKD2 stage,28 patients with CKD3 stage,36 patients with CKD stage 4 and 165 patients with CKD stage 5.In pace with the progression of CKD,the data revealed that body mass index(BMI)and serum calcium were gradually declined(P<0.05),while blood urea nitrogen(BUN),serum creatinine(SCr),serum phosphorus,intact parathyroid hormone(iPTH)and Cystatin C gradually ascended(P<0.05).New bone metabolic markers revealed that in pace with the progression of CKD,25-(OH)-VitD gradually declined(P<0.05),but N-Osteocalcin(NOC),β-C-terminal telopeptide of typeⅠcollagen(β-CTX)and N-terminal peptide of typeⅠprocollagen(P1 NP)gradually ascended(P<0.05).Echocardiographic indexes revealed that in pace with the progression of CKD,left ventricular end diastolic dimension(LVDd),left ventricular end systolic dimension(LVDs),and left ventricular mass index(LVMI)gradually ascended(P<0.05)in cardiac structure,and SV gradually ascended(P<0.05)in cardiac function,while relative wall thickness(RWT),cardiac output(CO),left ventricular ejection fraction(LV-EF),fractional shortening(FS),and transmitral diastolic early peak inflow velocity/transmitral diastolic late peak inflow velocity(E/A)had no statistically significant difference,but E/A gradually declined and was less than1 after CKD2.Left ventricular geometric remodeling revealed that the normal LV geometry group gradually declined from CKD1 to CKD5,with84.5%,70.3%,64.3%,44.4%and38.2%respectively.The abnormal LV geometry groups gradually ascended from CKD1 to CKD5,and there were 32.1% with eccentric hypertrophy,15.2% with concentric hypertrophy,and 14.5% with concentric remodeling.Multiple linear regression revealed that the risk factors of RWT were age and serum phosphorus,the risk factor of LVDd was BMI,the risk factor of LVMI wasβ-CTX,the risk factor of SV was Cystatin C,and the protective factors of E/A were age,gender(female),Ca and BUN.Conclusions The left ventricular structure and function in the patients with ND-CKD were aggravated in pace with the progression of CKD.Age,renal function,serum phosphorus,serum calcium,iPTH,BMI andβ-CTX were related to the changes of left ventricular structure and function.…”
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Evaluation of Clinical Competencies and Feedback of Senior Dental Students with Objective Structured Clinical Examination (OSCE) by Maryam Basirat, Fatemeh Rahbar Masouleh, Mehran Falahchai, Abtin Heidarzadeh

“…Introduction: The Objective Structured Clinical Examination (OSCE) serves as a scientific evaluation method that effectively enhances clinical assessment techniques and transforms management strategies to solve educational problems. …”
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From Viewing to Structure: A Computational Framework for Modeling and Visualizing Visual Exploration by Kuan-Chen Chen, Chang-Franw Lee, Teng-Wen Chang, Cheng-Gang Wang, Jia-Rong Li

“…This approach opens new possibilities for discovering structural organization within visual exploration data and analyzing goal-directed viewing behaviors. …”
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Building a High-Performance Graph Storage on Top of Tree-Structured Key-Value Stores by Heng Lin, Zhiyong Wang, Shipeng Qi, Xiaowei Zhu, Chuntao Hong, Wenguang Chen, Yingwei Luo

“…The present study focuses on the design and implementation of graph storage layout, with a particular emphasis on tree-structured key-value stores. We also examine different design choices in the graph storage layer and present our findings through the development of TuGraph, a highly efficient single-machine graph database that significantly outperforms well-known Graph DataBase Management System (GDBMS). …”
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Constraints on the frontal crustal structure of a continental collision from an integrated geophysical research: The central‐western Betic Cordillera (SW Spain) by A. Ruiz‐Constán, A. Pedrera, J. Galindo‐Zaldívar, J. Pous, J. Arzate, F. J. Roldán‐García, C. Marin‐Lechado, F. Anahnah

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Civil structural health monitoring and machine learning: a comprehensive review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

“…More robust prediction models may be produced by combining test data collected in the laboratory or field with ML. …”
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Civil Structural Health Monitoring and Machine Learning: A Comprehensive Review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

“…More robust prediction models may be produced by combining test data collected in the laboratory or field with ML. …”
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Investigation into the Mechanism of the Impact of Sunlight Exposure Area of Urban Artificial Structures and Human Activities on Land Surface Temperature Based on Point of Interest Data by Yuchen Wang, Yu Zhang, Nan Ding

Subjects: “…urban artificial structures…”
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SARS‐CoV‐2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms by Seán I O’Donoghue, Andrea Schafferhans, Neblina Sikta, Christian Stolte, Sandeep Kaur, Bosco K Ho, Stuart Anderson, James B Procter, Christian Dallago, Nicola Bordin, Matt Adcock, Burkhard Rost

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Graph compression algorithm based on a two-level index structure by Gaochao LI, Ben LI, Yuhai LU, Mengya LIU, Yanbing LIU

“…The demand for the analysis and application of graph data in various fields is increasing day by day.The management of large-scale graph data with complicated structure and high degree of coupling faces two challenges:one is querying speed too slow,the other is space consumption too large.Facing the problems of long query time and large space occupation in graph data management,a two-level index compression algorithm named GComIdx for graph data was proposed.GComIdx algorithm used the ordered Key-Value structure to store the associated nodes and edges as closely as possible,and constructed two-level index and hash node index for efficient attribute query and neighbor query.Furthermore,GComIdx algorithm used a graph data compressed technology to compress the graph data before it directly stored in hard disk,which could effectively reduce the storing space consumption.The experimental results show that GComIdx algorithm can effectively reduce the initialization time of the graph data calculation and the disk space occupancy of the graph data storing,meanwhile,the query time is less than common graph databases and other Key-Value storage solutions.…”
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