Leveraging Deep Learning for Robust Structural Damage Detection and Classification: A Transfer Learning Approach via CNN by Burak Duran, Saeed Eftekhar Azam, Masoud Sanayei

“…Different levels of damage states were introduced at the midspans of these models, and Gaussian-based load time histories were applied at mid-span for dynamic time-history analysis to calculate acceleration data. Then, this acceleration time-history series was transformed into grayscale images, serving as inputs for a Convolutional Neural Network developed to detect and classify structural damage states. …”
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ON THE STRUCTURE AND FORMATION OF EARTHQUAKE SOURCES IN THE FAULTS LOCATED IN THE SUBSURFACE AND DEEP LEVELS OF THE CRUST. Part I. SUBSURFACE LEVEL by V. V. Ruzhich, G. G. Kocharyan

“…We present the seismogeological data on the structure and development of the sources of three catastrophic earthquakes (М≥8.0–8.5) that occurred inMongoliain the last century. …”
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Structural, magnetic, and optical characteristics of undoped and chromium, iron, cobalt, copper, and zinc doped nickel oxide nanopowders by Farzaneh Asaldoust, Khosro Mabhouti, Akbar Jafari, Maryam Taleb-Abbasi

“…Abstract The present investigation seeks to customize the optical, magnetic, and structural characteristics of nickel oxide (NiO) nanopowders through chromium, iron, cobalt, copper, and zinc doping to enhance optoelectronic applications. …”
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Structural Analysis of the Effect of Women's Personality Traits on Their Entrepreneurship with a Moderating Role of Educational Level in Khuzestan Province by Sara Mohammadi, Farajallah Rahimi, Mahdi Nadaf, Touran Argha

“…Data were collected using the Entrepreneurial Personality Traits Questionnaire of Kordnaeij & et. al., (2007) and McKerry and Custa (2004), and the Zamptakis and Mustakis (2007), Entrepreneurial Behavior Questionnaire and data analysis was performed using structural equation modeling and smart-PLS3 software. …”
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Bridging gaps: On the performance of airborne LiDAR to model wood mouse-habitat structure relationships in pine forests. by Carlos Jaime-González, Pablo Acebes, Ana Mateos, Eduardo T Mezquida

“…Field derived variables indicated that wood mouse was positively influenced by the gradient of increasing shrub cover and negatively affected by elevation. Regarding LiDAR data, two LiDAR PCs, i.e. gradients in canopy openness and complexity in forest vertical structure positively influenced wood mouse, although elevation interacted negatively with the complexity in vertical structure, indicating wood mouse's preferences for plots with lower elevations but with complex forest vertical structure. …”
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Indeterminacy of Camera Intrinsic Parameters in Structure from Motion Using Images from Constant-Pitch Flight Design by Truc Thanh Ho, Riku Sato, Ariyo Kanno, Tsuyoshi Imai, Koichi Yamamoto, Takaya Higuchi

“…Intrinsic parameter estimation by self-calibration is commonly used in Unmanned aerial vehicle (UAV)-based photogrammetry with Structure from Motion (SfM). However, obtaining stable estimates of these parameters from image-based SfM—which relies solely on images, without auxiliary data such as ground control points (GCPs)—remains challenging. …”
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INFLUENCE OF 24-HOUR BLOOD PRESSURE PATTERNS ON STRUCTURAL AND FUNCTIONAL CHANGES OF THE HEART IN PATIENTS WITH RESISTANT ARTERIAL HYPERTENSION by V. A. Lichikaki, S. E. Pekarsky, V. R. Mordovin, R. S. Karpov

“…To study the relationship of 24-hour BP patterns in patients with AH resistant to drug treatment and structural-functional changes in heart before and after sympathetic denervation of the kidneys.Material and methods. …”
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Inference on a New Lifetime Distribution under Progressive Type II Censoring for a Parallel-Series Structure by Atef F. Hashem, Salem A. Alyami

“…One of the reasons for introducing the new distribution is that it can describe the failure time of a system connected in the form of a parallel-series structure. Some properties of the proposed distribution are addressed. …”
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Structural readiness of health facilities in Mozambique: how is Mozambique positioned to deliver nutrition-specific interventions to women and children? by Réka Maulide Cane, Ashely Sheffel, Cristolde Salomão, Júlia Sambo, Elias Matusse, Edmilson Ismail, Ananias António, Érica Manuel, Talata Sawadogo-Lewis, Timothy Roberton

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Spatiotemporal Change of Crop Yield and Its Response to Planting Structural Shifts in Northeast China from 2001 to 2021 by Xu Lin, Yaqun Liu, Jieyong Wang

“…As a pivotal region for safeguarding China’s food security, Northeast China requires a quantitative evaluation of crop yield dynamics, planting structure shifts, and their interdependent mechanisms. …”
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The Unpaved Road of Non-Coding RNA Structure–Function Relationships: Current Knowledge, Available Methodologies, and Future Trends by Ana Lúcia Leitão, Francisco J. Enguita

“…Non-coding RNA action is predominantly driven by sequence and structural motifs that interact with specific functional partners. …”
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Structural equilibrium in universities: quality, finance and sustainability from an empirical perspective: An integrative analysis with neutrosophic cognitive maps by Claudio Ruff, Claudio Ruff, Juliana Vassileva, Bastián Gutiérrez

“…This study explores the structural relationships between institutional financial health and academic quality in Chilean higher education institutions (HEIs) by applying multivariate tools such as the dynamic HJBiplot and fixed-effects regression models for panel data, complemented by neutrosophic cognitive maps (NCMs). …”
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Exploring CPTED strategies to enhance pedestrian safety in the neighbourhood of Chennai using a structural equation modeling approach by Revathi A, Lakshmi S

“…Cross-sectional research has been conducted in Zone XV, Ward 193, Thoraipakkam, Chennai, India. Data were gathered from 400 residents through a semi-structured questionnaire. …”
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Aero Engine Component Fault Diagnosis Using Multi-Hidden-Layer Extreme Learning Machine with Optimized Structure by Shan Pang, Xinyi Yang, Xiaofeng Zhang

“…A new aero gas turbine engine gas path component fault diagnosis method based on multi-hidden-layer extreme learning machine with optimized structure (OM-ELM) was proposed. OM-ELM employs quantum-behaved particle swarm optimization to automatically obtain the optimal network structure according to both the root mean square error on training data set and the norm of output weights. …”
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Toward causal artificial intelligence approach for PM2.5 interpretation: A discovery of structural causal models by Mallika Kliangkhlao, Apaporn Tipsavak, Thanathip Limna, Racha Dejchanchaiwong, Perapong Tekasakul, Kirttayoth Yeranee, Thanyabun Phutson, Bukhoree Sahoh

“…The research uncovers hidden cause-and-effect relationships between meteorological factors and PM2.5 exposure by leveraging a data-driven causal structure discovery approach, effectively representing complex data-generating processes. …”
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Populations of the Australian Saltmarsh Mosquito Aedes vigilax Vary Between Panmixia and Temporally Stable Local Genetic Structure by Thomas L. Schmidt, Nancy Endersby‐Harshman, Toby Mills, Rahul Rane, Gunjan Pandey, Chris Hardy, Leon Court, Cameron Webb, Brendan Trewin, Brett Neilan, Ary A. Hoffmann

“…As individual insects are difficult to track, genomic data can instead be used to infer movement patterns based on pest population structure and connectivity. …”
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Overlapping structural and functional connectivity disruptions in clinical high-risk for psychosis participants: A network analysis study by Angus Paton, Tineke Grent- ’t-Jong, Ruchika Gajwani, Joachim Gross, Andrew I. Gumley, Stephen M. Lawrie, Matthias Schwannauer, Frauke Schultze-Lutter, Peter J. Uhlhaas

“…However, it is currently unclear whether such disruptions are present in clinical high-risk for psychosis (CHR-P) participants and whether there may be an overlap between structural and functional connectivity alterations.We obtained diffusion magnetic resonance imaging (dMRI) and resting-state, magnetic resonance imaging (rsfMRI) data from N = 110 CHR-P participants and N = 49 healthy controls (HC). …”
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Identifying and leveling the effective factors on the development of heritage sports tourism based on Interpretive Structural Modeling Approach (ISM) by Reza Heydari, Mohammad Keshtidar, Seyed Morteza Azimzadeh, Mahdi Talebpour, Haywantee Ramkissoon

“…Data collection tools in this study were library studies, interview and questionnaire based on interpretive structural modeling. …”
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opstool: A Python library for OpenSeesPy analysis automation, streamlined pre- and post-processing, and enhanced data visualization by Yexiang Yan, Yazhou Xie

“…This paper presents opstool, a Python package designed to enhance the pre- and post-processing capabilities of OpenSees and OpenSeesPy. It simplifies structural analysis workflows by automating tasks such as mesh generation, data management, and data visualization. …”
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Design Analysis and Structural Prediction of Bus Driver Chair Support: A Study Case using HOQ and FEM by Joung Hyung Cho, Ridwan Ridwan, Rama Panji Kusuma, Joko Triyono, Nurul Muhayat, Aprianur Fajri, Fajar Budi Laksono

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