Modeling of settlement of shallow-founded rocking structures using explainable physics-guided machine learning by Sivapalan Gajan, Christopher Kantor

“…Rocking foundation is an unorthodox seismic design philosophy of structures that enhances the performance of structures by absorbing and dissipating seismic energy into soil. …”
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Structural and functional state of various zones of skin microcirculation in men with isolated diastolic hypertension by Andrei I. Korolev, Andrei A. Fedorovich, Aleksander Yu. Gorshkov, Valida A. Dadaeva, Mikhail G. Chaschin, Anna V. Strelkova, Ksenia V. Omelyanenko, Maria A. Mikhailova, Oxana M. Drapkina

“…The objective of our study was to assess the structural and functional characteristics of various skin microcirculation zones in men with newly diagnosed isolated diastolic hypertension (IDH). …”
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Structural Optimization of Long and Flexible Composite Cover with Topography Method and Examination of Frequency Values by Adnan Akkurt, Mehmet Can Katmer, Tolga Kocakulak

“…Then, the conventional design, which has the same mass as the new design, was compared and it was revealed by the data that the new design was more resistant. According to the results obtained, the most suitable rib geometry to be preferred for this and similar types of long and flexible structures to have a more resistant structure has been determined.…”
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The association between neighborhood environment, prenatal exposure to alcohol and tobacco, and structural brain development by Yingjing Xia, Verónica M. Vieira

“…Less is known about how neighborhood environment (built, institutional, and social) may be associated with structural brain development and whether prenatal exposure to alcohol or tobacco may modify this relationship. …”
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Adoption of internet of things in residential smart homes: A structural equation modeling approach by Amir Mohammad Norouzzadeh, Seyed Pendar Toufighi, Jan Vang, Abolfazl Edalatipour

“…Using a descriptive-survey method, data were collected from 97 companies involved in the smart home sector through structured questionnaires. …”
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Wellness Tourism in the Himalayas: A Structural Analysis of Motivation, Experience, and Satisfaction in Spa Resorts by Parikshat Singh Manhas, Priyanka Sharma, Joana A. Quintela

“…Structural equation modeling (SEM) was employed to analyze the relationships between the constructs. …”
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Structural analysis of the hip joint using segmentation and finite elements in patients with femoroacetabular impingement by Felipe Castillo, Cristian A. Hernández-Salazar, Octavio A. González-Estrada

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E-learning, assessment competency, and academic performance: A structural equation modeling approach by Nor Hasnida Chemdghazali, Zahari Suppian, Hishamuddin Ahmad, Syaza Hazwani Zaini, Tajul Rosli Shuib

“…The questionnaire for e-learning practices is adapted from OLES (Renee, 2011) and the competency in assessment comes from Zahari (2018). The structural equation modeling (SEM) analysis is used to test the hypothesized relationship. …”
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Application of Neural Networks for Recognizing Rail Structural Elements in Magnetic and Eddy Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin, Vladimir A. Bashkin

“…The analysis means a process of determining the presence of defective sections along with identifying structural elements of railway tracks on defectograms. …”
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Bridge Structural Damage Identification Technique Based on BPNN and Vehicle-bridge Interaction Analysis by Lingling Li, Yibo Zhang

“…The response of the contact point of the bridge deck and tires was then used as the input of the back propagation neural network to compute the coupled vibration equations of the vehicle and bridge, and create the data set of the vehicle and bridge’s response. It can also locate the damaged bridge structure appropriately, and assess the extent of damage. …”
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Bridge Structural Damage Identification Technique Based on BPNN and Vehicle-bridge Interaction Analysis by Lingling Li, Yibo Zhang

“…The response of the contact point of the bridge deck and tires was then used as the input of the back propagation neural network to compute the coupled vibration equations of the vehicle and bridge, and create the data set of the vehicle and bridge’s response. It can also locate the damaged bridge structure appropriately, and assess the extent of damage. …”
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MaxComp: Predicting single-cell chromatin compartments from 3D chromosome structures. by Yuxiang Zhan, Francesco Musella, Frank Alber

“…To address this, we present MaxComp, an unsupervised method, for inferring single-cell A/B compartments based on 3D geometric considerations in single-cell chromosome structures-derived either from multiplexed FISH-omics imaging or 3D structure models derived from Hi-C data. …”
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Structural geology and geochronology of the Comondú Group in the Tembabichi area, Baja California Sur, México by Diego Gracia-Marroquín, Mariano Cerca, Margarita López-Martínez, Marco Bonini, Teresa Orozco-Esquivel

“…The geochronological and structural data presented on the main map provide new insights for deciphering the complex geological evolution of this region.…”
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Dynamic and structural insights into allosteric regulation on MKP5 a dual-specificity phosphatase by Erin Skeens, Federica Maschietto, Ramu Manjula, Shanelle Shillingford, James Murphy, Elias J. Lolis, Victor S. Batista, Anton M. Bennett, George P. Lisi

“…We demonstrate using crystallographic and NMR spectroscopy approaches that residue Y435 is required to maintain the structural integrity of the allosteric pocket. Along with molecular dynamics simulations, these data provide insight into how changes in the allosteric pocket propagate conformational flexibility in the surrounding loops to reorganize catalytically crucial residues in the active site. …”
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Analysis of dietary pattern effects on metabolic risk factors using structural equation modeling by Åse Mari Moe, Sigrunn H. Sørbye

“…Exploratory structural equation models were utilized to analyse direct, indirect, and total effects of dietary patterns on metabolic CVD risk factors, using obesity as a mediator. …”
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Knowledge Graph as Pre-Training Corpus for Structural Reasoning via Multi-Hop Linearization by Wooyoung Kim, Haemin Jung, Wooju Kim

“…Knowledge Graphs provide a rich, structured source of relational data, offering an opportunity to enhance the reasoning capabilities of Large language models. …”
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Overproduction of Tk-Subtilisin and Elucidation of Its Structural Thermostability Based on Molecular Dynamics Studies by Nouman Rasool, Naeem Rashid

“…Specifically, Ca1 is the most vital for thermostability as complexes lacking this calcium ion exhibited less thermostability and incompactness in structure.…”
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Concept and preliminary structural analysis of a crater-covering dome for future lunar habitats by Magdalena Mrozek, Dawid Mrozek, Mateusz Smolana, Lorna Anguilano

“…Five shapes of the covering lid were analysed, including: two concave domes with rises of 0.5 m and 1 m; a flat circular slab; and two convex domes with rises of 0.5 m and 1 m. Structural analysis was performed using the Finite Element Method, employing material data from existing literature as well as original strength tests of alkali-activated material based on lunar regolith simulants conducted by the authors. …”
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Spatiotemporal Deformation Prediction Model for Retaining Structures Integrating ConvGRU and Cross-Attention Mechanism by Yanyong Gao, Zhaoyun Xiao, Zhiqun Gong, Shanjing Huang, Haojie Zhu

“…With the exponential growth of engineering monitoring data, data-driven neural networks have gained widespread application in predicting retaining structure deformation in foundation pit engineering. …”
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Novel Automatic Classification Method for Geological Structures in Carbonate Formations Based on Electrical Imaging Logging by FU Yafeng, HUANG Ke, ZHU Hanbin, WANG Hui, ZHANG Xu, ZHAO Jie, XIAO Ni

“…Finally, these features are used to train an extreme gradient boosting (XGBoost) model, enabling the automatic classification of different geological structures. Validation using actual carbonate logging data shows that the classification accuracy of this method exceeds an 80% agreement rate with core observations. …”
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