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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Data-driven stochastic 3D modeling of the nanoporous binder-conductive additive phase in battery cathodes by Phillip Gräfensteiner, Markus Osenberg, André Hilger, Nicole Bohn, Joachim R. Binder, Ingo Manke, Volker Schmidt, Matthias Neumann

“…Abstract A stochastic 3D modeling approach for the nanoporous binder-conductive additive phase in hierarchically structured cathodes of lithium-ion batteries is presented. …”
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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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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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The dynamics of sex-age structure of the population in urban and rural areas in the Republic of Kazakhstan in the years 1991-2013 by Nyussupova Gulnara, Kalimurzina Aisulu

“…In this article we discuss and analyse changes in the sex-age structure of both the urban and the rural population of the Republic of Kazakhstan since independence (1991) and until 2013. …”
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Prediction of moment improvement in UHPC strengthened damaged RC beams based on data augmented machine learning by Weidong Xu, Decheng Ji, Yong Yu, Xianying Shi

“…Strengthening of damaged reinforced concrete (RC) structures with ultra high performance concrete (UHPC) can increase their load carrying capacity and durability. …”
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Discovering prominent differences in structural and functional connectomes using a multinomial stochastic block model by Nina Braad Iskov, Anders Stevnhoved Olsen, Kristoffer Hougaard Madsen, Morten Mørup

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Predicting an individual’s functional connectivity from their structural connectome: Evaluation of evidence, recommendations, and future prospects by Andrew Zalesky, Tabinda Sarwar, Ye Tian, Yuanzhe Liu, B. T. Thomas Yeo, Kotagiri Ramamohanarao

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A spatially constrained independent component analysis jointly informed by structural and functional network connectivity by Mahshid Fouladivanda, Armin Iraji, Lei Wu, Theodorus G. M. van Erp, Aysenil Belger, Faris Hawamdeh, Godfrey D. Pearlson, Vince D. Calhoun

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Drivers of Structural and Functional Resilience Following Extreme Fires in Boreal Forests of Northeast China by Jianyu Yao, Xiaoyang Kong, Lei Fang, Zhaohan Huo, Yanbo Peng, Zile Han, Shilong Ren, Jinyue Chen, Xinfeng Wang, Qiao Wang

“…Ongoing climate change has intensified fire disturbances in boreal forests globally, posing significant risks to forest ecosystem structure and function, with the potential to trigger major regime shifts. …”
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Structural Damage Detection by Power Spectral Density Estimation Using Output-Only Measurement by Eun-Taik Lee, Hee-Chang Eun

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Testing students' e-learning via Facebook through Bayesian structural equation modeling. by Hashem Salarzadeh Jenatabadi, Sedigheh Moghavvemi, Che Wan Jasimah Bt Wan Mohamed Radzi, Parastoo Babashamsi, Mohammad Arashi

“…Although most theories/models developed have been examined through regression or structural equation modeling, Bayesian analysis offers more accurate data analysis results. …”
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Navigating the unstructured by evaluating alphafold's efficacy in predicting missing residues and structural disorder in proteins. by Sen Zheng

“…The study investigated regions with undefined structures, known as "missing" segments in X-ray crystallography and cryo-electron microscopy (Cryo-EM) data, by assessing their predicted structural confidence and disorder scores. …”
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Selection and Application of the Data Transfer Operating Protocol Software Architecture for the Software-Defined Radio by Oleg V. Vorobyov, Alexey I. Rybakov

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qPRF: A system to accelerate population receptive field modeling by Sebastian Waz, Yalin Wang, Zhong-Lin Lu

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