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

“…Using an expanding window approach, the analysis applies Bayesian structural time series (BSTS) models, exponential smoothing, and random forest to forecast one-week-ahead cases over the 27 weeks in 2024. …”
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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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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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Research and development of data compression methods for technical monitoring systems by A. G. Yakunin

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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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The Structural Model of Happiness Based on Mindfulness with Mediator Role of Emotional Intelligence, Self-Compassion and Resilience by Mohammad Reza Tamannai far, Faezeh Taraffo

“…The Researchers used the Oxford Happiness Questionnaire-Short Form, the Freiburg Mindfulness Inventory-Short Form, the Bradberry and Greaves Emotional Intelligence Questionnaire, the Self-Compassion Scale-Short Form and the Connor-Davidson Resilience Scale-Short Form to collect the data. Pearson's correlation coefficient method and structural equation modeling were used to analyze the data. …”
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Integration of Spatiotemporal Dynamics and Structural Connectivity for Automated Epileptogenic Zone Localization in Temporal Lobe Epilepsy by Linxia Xiao, Qingqing Zheng, Sixian Li, Yanjie Wei, Weixin Si, Yi Pan

“…While stereoelectroencephalography (SEEG) and structural magnetic resonance imaging (MRI) provide complementary insights, existing unimodal methods fail to fully capture epileptogenic brain activity, and multimodal fusion remains challenging due to data complexity and surgeon-dependent interpretations. …”
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Effect of SkQ1 Antioxidant on Structural and Functional Conditions of The Brain in PostResuscitation Period by M. L. Lovat, M. Sh. Avrushchenko, O. A. Averina, V. V. Pavshintsev, I. V. Ostrova, Y. V. Zarzhetsky, V. V. Moroz, M. V. Egorov

“…Data confirm the positive effects of SkQ1 on structural and functional status of the brain postre suscitation and suggest possible use of SkQ1 for the prevention or correction of posthypoxic encephalopathies.…”
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