American Indian community engagement and the structural and social determinants of health: results from the THRIVE assessment by Kellie Webb, Sadie Posey, Katherine Hirchak, Emily Beamon, Kelley Milligan, Sharon Wagon, Bethany Fatupaito, Allyson Kelley

“…This paper presents the community-driven adaptation process and results for the Tool for Health and Resilience in Vulnerable Environments (THRIVE) assessment, a social justice and equity-focused screening tool, in one reservation-based American Indian community in the US.MethodsUsing principles of community-engaged research (CER) and community-based participatory research (CBPR), the authors describe the importance of co-creating data collection tools with community members to document the social and structural determinants of health. …”
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A Bayesian Method for Simultaneous Identification of Structural Mass and Stiffness Using Static–Dynamic Measurements by Zhiyong Li, Zhifeng Wu, Hui Chen

“…This paper presents a Bayesian-based finite element model updating method that integrates static displacement measurements and dynamic modal data to simultaneously identify structural mass and stiffness parameters. …”
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Designing a Structural Model of Human Resource Management Practices Focused on the Elderly in Public Organizations by Mohammad Ali Fadaei, Hossein Mansoori, Tayebeh Abbasnejad

“…By acknowledging the aging of the workforce as a significant organizational challenge, the purpose of this research is to design a structural model of elderly-oriented human resource management measures in public organizations. …”
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Comparative effects of Semantic vs Structural Elaboration on Iranian EFL Learners' Vocabulary Learning Process by Narges Rahmani, Ataollah Maleki

“…Due to this inconsistency, the findings proved to be in line with TAP theory, suggesting that Level of Processing (LOP) theory should be accompanied with TAP to end in facilitating results. Data analysis -mirroring the Type of Processing–Resource Allocation (TOPRA) effect- indicated that while the +semantic as compared to +semantic/structural facilitated performance on recall of words, had a negative effect in comparison with +structural. …”
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Three‐dimensional structural‐material models of the formation of the Nyurbinskaya and Botuobinskaya kimberlite pipes (Yakutian Diamondiferous Province, Russia) by E. V. Serebryakov, A. S. Gladkov, D. A. Koshkarev

“…Computer processed data were used to construct 3D models showing the fault‐block structures of the Nyurbinskaya and Botuobinskaya pipes. …”
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Structural health monitoring based on three-dimensional point cloud technology: A systematic review by Yanzong Zhang, Guibo Nie, Duozhi Wang

“…Structural Health Monitoring ensures the safety and longevity of critical infrastructure. …”
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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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Structural Evolution of the Coastal Landscape in Klaipėda Region, Lithuania: 125 Years of Political and Sociocultural Transformations by Thomas Gloaguen, Sébastien Gadal, Jūratė Kamičaitytė, Kęstutis Zaleckis

“…This study examines the evolution of physical landscape structures across the pre-Soviet, Soviet, and post-Soviet periods, using historical maps and open-access geospatial data. …”
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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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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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Lateral Impact of Travelling Fires on Structural Elements in Large Compartments: Insights from Test 1 by Naveed Alam, Ali Nadjai

“…The structural steelwork was supplied with additional dummy columns for data acquisition purposes. …”
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