Using genomic structural equation modeling to examine the genetic architecture of PTSD and life satisfaction phenotypes by Shannon E. Cusack, Anna W. Wright, Peter B. Barr, Emily Notari, Kaitlin E. Bountress, Ananda B. Amstadter

“…We sought to examine the genetic architecture of PTSD and six life satisfaction and well-being phenotypes (i.e. subjective well-being, friend satisfaction, life satisfaction, family satisfaction, work satisfaction, and financial satisfaction) using a multivariate approach.Method: We used Genomic Structural Equation Modeling (gSEM) to analyze summary-level genetic data from large-scale GWAS of the European Ancestry.Results: Findings show that a two, correlated factors model fit the data best, in which PTSD and life satisfaction phenotypes load on separate but correlated factors.Conclusions: Findings suggest that, using multivariate methods, a latent factor capturing many different positive phenotypes is genetically related to PTSD. …”
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Structural findings obtained through Optic Coherence Tomography and Magnetic Resonance in Glaucoma: Systematic Review by Pedro Camacho

“…MRI structural findings were primarily associated with RNFL changes and visual field alterations, while metabolic findings appeared to correlate more with RGC changes. …”
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Structural time series modelling for weekly forecasting of enterovirus outpatient, inpatient, and emergency department visits. by Cathy W S Chen, Leon L Hsieh, Betty X Y Chu

“…This study utilizes Taiwan CDC databases to analyse weekly enterovirus case data from emergency departments (EDs), as well as outpatient and inpatient settings. …”
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A Robust Framework for Probability Distribution Generation: Analyzing Structural Properties and Applications in Engineering and Medicine by Aadil Ahmad Mir, Shamshad Ur Rasool, S. P. Ahmad, A. A. Bhat, Taghreed M. Jawa, Neveen Sayed-Ahmed, Ahlam H. Tolba

“…To further validate its applicability, we employ ASPRD on three real-world engineering datasets, showcasing its effectiveness in modeling complex data structures. This work not only strengthens the theoretical framework of probability distributions but also provides valuable tools for practical applications, paving the way for future advancements in statistical modeling.…”
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Work Stress, Risk Perception, and Social Support: Structural Equation Modeling of Healthcare Staffs’ Resilience by Xinran Huo, Yunke Shi, Ning Zhang

“…Data were analyzed using generalized linear models and structural equation modeling (SEM) to examine the relationships between resilience and its determinants. …”
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Prediction of Respiratory Irritation and Respiratory Sensitization of Chemicals Using Structural Alerts and Machine Learning Modeling by Yaroslav Chushak, Andrew Keebaugh, Rebecca A. Clewell

“…Here, we generated structural alerts and developed machine learning (ML) classification models to predict respiratory irritation and respiratory sensitization hazards of chemicals using experimental data from publicly available databases and the literature. …”
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Using structural equation modelling to reassess bias in judging the vault event in men’s artistic gymnastics by Sai-fu Fung, Yoon-Soo Han, Arturs Mickevics

“…These scores were analysed using the structural equation modelling (SEM) technique. The SEM results indicated good model fit, χ2 (14.404) / 12 = 0.83, SRMR = 0.031, CFI = 0.998, TLI = 0.996 and RMSEA = 0.039. …”
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Determinants of potato farming productivity and success: Factors and findings from the application of structural equation modeling by Rafiqah Maulidiyah, Muslim Salam, Muhammad Hatta Jamil, A. Nixia Tenriawaru, Rahmadanih, Heliawaty, Ahmad Imam Muslim, Hamed Noralla Bakheet Ali, Muhammad Ridwan

“…The collected primary data were analyzed using structural equation modeling. …”
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Advancing public health through Spatial Data Infrastructures: a review of global practices, governance and policy recommendations by Victor Mayowa Adeleye, Patrick Ashinze, Teslim Okeoyo, Veronica El Nabbout, Emmanuel Chileshe Phiri, Gargi Gautam, Collins Chukwunonso Ezea, Alhazan Amir Adebayo, Halima Ali, Ekemode Oluwadamilola Monsurat

Subjects: “…Spatial Data Structure (SDI)…”
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Crustal Velocity Models Retrieved from Surface Wave Dispersion Data for Gujarat Region, Western Peninsular India by Vishwa Joshi

“…In each cluster, dispersion data were measured station by station which collectively formed a dispersion data file for a nonlinear inversion through Genetic algorithm. …”
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Can Industrial Digitalization Boost a Consumption-Driven Economy? An Empirical Study Based on Provincial Data in China by Hanzi Chen, Yue Liu, Zirui Wang

“…The empirical test results indicate: first, industrial digitalization significantly promotes the development of a consumption-driven economy, mainly reflected in the improvement of economic foundation and consumption levels, but shows no significant effect on improving the consumption structure. Second, mechanism analysis results show that industrial digitalization can promote the development of a consumption-driven economy by fostering innovation and advancing the industrial structure. …”
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Structural basis and kinetics of force-induced conformational changes of an αA domain-containing integrin. by Xue Xiang, Cho-Yin Lee, Tian Li, Wei Chen, Jizhong Lou, Cheng Zhu

“…<h4>Conclusions/significance</h4>Our study defines the structural basis for mechanical regulation of the kinetics of LFA-1 αA domain conformational changes and relates these simulation results to experimental data of force-induced dissociation of single LFA-1/ICAM-1 bonds by a new mathematical model, thus provided detailed structural and kinetic characterizations for force-stabilization of LFA-1/ICAM-1 interaction.…”
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The complete mitochondrial genome of Cenchrus fungigraminus indicates structural dynamics and sequence divergences in Poaceae family by Wentao Sheng, Wentao Sheng

“…Thus, the C. fungigraminus mitochondrial genome was assembled and annotated utilizing a combination of Illumina and PacBio sequencing data.ResultsThe assembled genome measures 404,398 bp and exhibits a linear structure. …”
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Biologically inspired hybrid model for Alzheimer’s disease classification using structural MRI in the ADNI dataset by Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi

“…This study proposes a hybrid convolutional neural network-spiking neural network (CNN-SNN) architecture to classify AD stages using structural MRI (sMRI) data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). …”
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Influence of Dominant Structural Faces on Anti-Sliding Stability of Gravity Dams in Granite Intrusion Regions by Menglong Dong, Xiaokai Li, Yuezu Huang, Huaqing Zhang, Xiaolong Zhang

“…Through comprehensive field investigations and systematic analysis of engineering geological data, the spatial distribution characteristics of structural planes and fracture zones were quantitatively characterized. …”
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Structural Behavior of Beam-to-Column Glued Laminated Timber Connection Using Double Steel Plates by Yosafat Aji Pranata, Bambang Suryoatmono, Rohana Hassan, Olga Catherina Pattipawaej, Zakiah ahmad

“…Data were obtained for the structural behavior of two types of connections. …”
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Can Digitalisation and Technological Development Reduce Corruption? Evidence from a Structural Analysis in Ukraine by Alina Yefimenko, Veronika Malaniuk, Murad Bagirzadeh, Wojciech Duranowski, Antonina Djakona, Marina Celika

“…Using structural equation modelling and principal component analysis, the study constructs latent indicators for corruption, digitalisation, and technological development, and explores the relationships among these factors through a system of structural equations. …”
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Factors Influencing Students’ Performance in University Mathematics Courses: A Structural Equation Modelling Approach by Moeketsi Mosia, Felix O. Egara, Fadip A. Nannim, Moses Basitere

“…SES information was gathered using surveys capturing school quintile and family income data. Structural equation modelling (SEM), specifically the covariance-Based SEM approach, was employed to analyse these variables’ direct and indirect effects on student performance. …”
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A Hysteresis Model Incorporating Varying Pinching Stiffness and Spread for Enhanced Structural Damage Simulation by Mohammad Rabiepour, Cong Zhou, James Geoffrey Chase

“…This can negatively impact the accuracy of the BWBN model in simulating structural responses and damage mechanisms in structures such as reinforced concrete (RC) and timber, which exhibit highly pinched hysteresis behavior when damaged by earthquakes. …”
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Cation Selectivity in Biological Cation Channels Using Experimental Structural Information and Statistical Mechanical Simulation. by Justin John Finnerty, Alexander Peyser, Paolo Carloni

“…Here we present an improved statistical mechanical model based on atomistic structural information, cation hydration state and without tuned parameters that reproduces the selectivity of biological Na+ and Ca2+ ion channels. …”
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