Designing a Model of Intangible Causes of Bankruptcy by TISM by Marzieh Mazaheri, leyla Safdarian, Mahnam Molaei

“…This study aims to design a model of intangible causes of bankruptcy of capital market companies based on modeling a Total Interpretive Structural Modelling. This research is methodologically based on the result, developmental, and data type is a mixed method. …”
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Bayesian networks for causal analysis in socioecological systems by Rafael Cabañas, Ana D. Maldonado, María Morales, Pedro A. Aguilera, Antonio Salmerón

“…Specifically, we present a case study using non-experimental data from southern Spain. For this, we propose the use of structural causal models, which are kind probabilistic models for causal analysis that simplify this kind of reasoning due to their graphical representation. …”
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Examining pathways between structural stigma and tobacco use: a comparison among young adults living in the United States by sexual orientation and gender identity by Wilson Figueroa, Srinivasan Sridhar, Emma Jankowski, Alysha Ennis, Anne Trinh, Eric Seiber, Joanne G. Patterson

“…Methods Structural Equation Modeling was used to conduct a secondary data analysis from a cross-sectional parent study. …”
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Structural barriers and facilitators to accessing postsurgical rehabilitation in adults who were treated with surgery for low back pain: protocol for a scoping review by Jessica J. Wong, Jen Rinaldi, Paulo Pereira, Silvano Mior, Lauren Ead, Alanna Veitch, Kent Murnaghan, Pierre Côté

“…However, many encounter barriers to accessing rehabilitation due to structurally generated inequities linked to socioeconomic position. …”
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Structural deformation responses in the Neoproterozoic stratum to the multiple tectogenesis around the southwestern margin of the North China Craton by Guanxu Chen, Jinhai Luo, Gennian Sun, Ming Zhao, Yinglei Chang, Zhuo Chen

“…The rocks are characterized by intense structural deformation. Based on geochronological data, this study identifies three stages of structural deformation, each occurring at different tectonic levels during distinct periods: the early stage of the Early Paleozoic, the later stage of the Early Paleozoic, and the Early-Middle Triassic. …”
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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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Depth geological relations in the Timok Krajina, between Kladovo and Zaječar (eastern Serbia): based on surface, borehole and geophysical data by Marinović Đorđe, Ganić Meri, Rundić Ljupko

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THE USE OF 3D SCANNING AND RAPID PROTOTYPING IN MEDICAL ENGINEERING by Octavian CIOBANU, Gabriela CIOBANU

“…New cost effective scanning and modeling techniques are used today to process data acquisition and3D reconstruction in order to fabricate prostheses and orthoses by 3D printing. …”
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Defect Detection of Power Equipment by Infrared Image by Ruiyong HUANG, Meisheng DAI, Yuebin ZHENG, Qinqin HUANG, Liye KANG, Xiantai GOU, Weichao ZHOU

“…In this paper, the algorithm model of CenterNet combined with structured positioning is adopted. Through collecting field infrared image data samples, the algorithm model is trained and verified to identify and position different substation equipment and its components with high accuracy from complex infrared images. …”
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Enhancing construction supply chain Sustainability: The synergistic role of big data analytics and organizational culture using SEM by Amir Mohammad Norouzzadeh, Seyed Pendar Toufighi, Abolfazl Edalatipour, Jan Vang, Mooud Dabaghi Roodsari

Subjects: “…Big data…”
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T2F: a domain-agnostic multi-agent framework for unstructured text to factuality evaluation items generation by Xin Tong, Jingya Wang, Yasen Aizezi, Hanming Zhai, Bo Jin

“…The generated data effectively assess LLMs’ factuality accuracy, highlighting T2F’s capability as a scalable and domain-agnostic factuality evaluation framework.…”
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iNaturalist and Structured Mammal Surveys Reflect Similar Species Richness but Capture Different Species Pools Across the United States by Daniel J. Herrera, Christopher M. Schalk, Alex J. Jensen, Benjamin R. Goldstein, Brigit R. Rooney, Roland Kays, William J. McShea, Michael V. Cove

“…To assess whether mammalian iNaturalist data are reflective of data from traditional structured surveys, we calculated and compared measures of mammalian species richness and species pool similarity using data from unstructured surveys (i.e., iNaturalist) and data from structured camera trap surveys and bat acoustic surveys. …”
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STRUCTURAL METAPHOR OF LOVE IN ENGLISH SONGS IN THE LATE 20TH CENTURY FROM STYLISTIC AND COGNITIVE PERSPECTIVES by Nguyen Thi Hong Thu

“…In this paper, the metaphorical images in the songs were classified into three different kinds, namely structural metaphors, ontological metaphor, and orientational metaphors, of which the number of structural one ranks the first. …”
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Natural Language Processing framework for identifying abdominal aortic aneurysm repairs using unstructured electronic health records by Daniel C. Thompson, Reza Mofidi

“…Abstract Patient identification for national registries often relies upon clinician recognition of cases or retrospective searches using potentially inaccurate clinical codes, leading to incomplete data capture and inefficiencies. Natural Language Processing (NLP) offers a promising solution by automating analysis of electronic health records (EHRs). …”
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Uncovering employee insights: integrative analysis using structural topic modeling and support vector machines by Kai Ding, Ruihong Li, Zeyu Li, Shangui Hu

“…Abstract Online platforms that enable employees to voluntarily share their opinions and experiences about current and former employers present a valuable data source for investigating worker satisfaction. …”
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Needs of LMIC-based tobacco control advocates to counter tobacco industry policy interference: insights from semi-structured interviews by Lindsay Robertson, Anna B Gilmore, Britta Katharina Matthes

“…This research also underscores that more structural changes to enhance tobacco control capacity building should be considered.…”
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Endotracheal intubation during cardiac arrest by critical care paramedics: a service evaluation of success rates following structured education by Thomas Appelboam, Simon Laing, Nigel Lang

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Age-structured malaria model with temperature-dependent dynamics and optimal control analysis within a partial differential equation framework. by Lukas Degu Petros, Temesgen Erena Abdisa, Dinka Tilahun Etefa, Dawit Kechine Menbiko, Ademe Kebede Gizaw, Eba Alemayehu Simma, Delenasaw Yewhalaw, Chernet Tuge Deressa

“…This study presents a temperature-dependent, two-class age-structured malaria model using partial differential equations and optimal control strategies to assess their impact on malaria transmission. …”
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Low-cost video-based air quality estimation system using structured deep learning with selective state space modeling by Maqsood Ahmed, Xiang Zhang, Yonglin Shen, Tanveer Ahmed, Shahid Ali, Ayaz Ali, Aminjon Gulakhmadov, Won-Ho Nam, Nengcheng Chen

“…This study proposes Air Quality Prediction-Mamba (AQP-Mamba), a video-based deep learning model that integrates a structured Selective State Space Model (SSM) with a selective scan mechanism and a hybrid predictor (HP) to estimate air quality. …”
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The role of meaningful work and workplace attachment styles in predicting entrepreneurial well-being: insights from a structured sales network by Vladimír Koša, Elena Lisá

“…IntroductionThe study explores how meaningful work (MW) and workplace attachment styles, secure (SE), anxious (AX), and avoidant (AV), predict entrepreneurial well-being within a structured sales network of a financial services firm. …”
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