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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What kinds of government trust structures affect political participation? Evidence from Chinese Youth Netizens. by Cheng Wen, Qian Hu, Sheng Chen

“…Based on 2018 research data on Chinese netizens' social awareness, this paper examines how different government trust structures influence youth netizens' political participation. …”
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In vivo sonic hedgehog pathway antagonism temporarily results in ancestral proto-feather-like structures in the chicken. by Rory L Cooper, Michel C Milinkovitch

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The Effectiveness of the Qawaid Wa Tarjamah Method to Improve Understanding of Basic Arabic Structures Mabni and Mu'rab by Surya Hidayat, Munirul Abidin

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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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Optimization of load-bearing parameters for anisotropic nodes and prefabricated wall panels in prefabricated shear wall structures. by Jun Zhao, Libo Wang, Tengye Ma

“…However, the bearing capacity of anisotropic nodes and prefabricated wall panels in prefabricated shear wall structures remains a technical challenge that restricts their widespread application. …”
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Ignition delay prediction for fuels with diverse molecular structures using transfer learning-based neural networks by Mo Yang, Dezhi Zhou

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Digitization and restructuring organizational relationships: a social study of the impact of technology on work structures and social policies by Mohamed Maamerie, Ben Gharbi-Frid

“…In light of the rapid development of digital technology, digitization has become a fundamental factor reshaping work structures and organizational relationships within institutions. …”
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Investigation of Fatigue Assessment Method for Glass Fiber Reinforced Composite Hull Structures Based on Stiffness Degradation by Kaiyan Li, Guanyi Gao, Guoqing Feng, Yaozhong Fan, Yiyang Han

“…Four fatigue hotspot areas in the midsection of the hull were selected, and mesh refinement was applied to these locations to accurately capture the variations in stress gradients. The structural stress response transfer function was calculated, and the short-term and long-term distribution data of wave loads were obtained. …”
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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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Finite Element Model Updating in Bridge Structures Using Kriging Model and Latin Hypercube Sampling Method by Jie Wu, Quansheng Yan, Shiping Huang, Chao Zou, Jintu Zhong, Weifeng Wang

“…For FE model updating, the Kriging model is serving as a surrogate model, and it is a linear unbiased minimum variance estimation to the known data in a region which have similar features. To predict the relationship between the structural parameters and responses, samples are preselected, and then Latin hypercube sampling (LHS) method is applied. …”
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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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