2-(10-Phenylanthracen-9-yl)-2,3-dihydro-1H-naphtho[1,8-de][1,3,2]diazaborinine by Fanyi Meng, Shimin Zhou

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2′-Amino-5′-benzoyl-5-bromo-6′-methyl-2-oxospiro[indoline-3,4′-pyran]-3′-carbonitrile by Farid N. Naghiyev, Tuncer Hökelek, Victor N. Khrustalev, Ali N. Khalilov, Alebel N. Belay

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2-Amino-6-nitro-1,3-benzothiazol-3-ium 3-carboxy-4-hydroxybenzene-1-sulfonate by Joseph Tsemeugne, Didier Forest Kouganou Djossu, Dieter Schollmeyer, Pierre Mkounga

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5-Acetyl-2-amino-4-(2-fluorophenyl)-6-methyl-4H-pyran-3-carbonitrile dichlomethane hemisolvate by Carren Nyapola, Sizwe J. Zamisa, Bernard Omondi, Eric M. Njogu

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1-[(2-Bromophenyl)diphenylmethyl]-3-(trifluoromethyl)-1H-pyrazole–1-(triphenylmethyl)-3-(trifluoromethyl)-1H-pyrazole (0.638:0.362) by Firudin I. Guseinov, Aida I. Samigullina, Tuncer Hökelek, Sahil Z. Hamidov, Jamal Lasri, Khudayar I. Hasanov, Tahir A. Javadzade, Alebel N. Belay

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Data collection method for creating digital twin of planted forests by Sukhanov Yuriy V., Vasilev Aleksey S.

“…However, they lack the capability to store information on the spatial structure of the stand and the actual location of the woody plants that comprise it. …”
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Development of the Investment Climate in the Russian Federation against the Background of Political and Economic Sanctions by D. A. Zyukin, E. A. Bolycheva, S. V. Kashirin, A. A. Barannikov, O. N. Goncharenko

“…In the paper used different methods such as intellectual data analysis, statistical analysis methods, data dynamics analysis and general scientific analysis tools. …”
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Model of Health-Related Quality of Life in Breast Cancer Patients Using Cross-Sectional Data: The Role of Resilience by Velickovic K, Olsson Möller U, Ryden L, Bendahl PO, Malmström M

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Effects and mechanisms of digital economy development on corporate carbon emission intensity: empirical evidence from cross-country data by Da Yang, Zhao Yang, Haoze Wu

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LSE-CVCNet: A Generalized Stereoscopic Matching Network Based on Local Structural Entropy and Multi-Scale Fusion by Wenbang Yang, Yong Zhao, Ye Gu, Lu Huang, Jianhua Li, Jianchuan Zhao

“…By integrating three key innovations—local structural entropy (LSE) to quantify structural uncertainty in disparity maps and guide adaptive attention, a cross-image attention mechanism (CIAM-T) to asymmetrically extract features from left/right images for improved feature alignment, and multi-resolution cost volume fusion (MRCV-F) to preserve fine-grained details through multi-scale fusion—LSE-CVCNet enhances disparity estimation accuracy and cross-domain generalization. …”
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A Novel Method for Aircraft Structural Dynamic Strain Trend Signal Processing via Optimized Parallel Computing by Yongwei Tian, Fang Zhang, Jinhui Jiang, Zhe Fan

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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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Implications of Pulse Frequency in Terrestrial Laser Scanning on Forest Point Cloud Quality and Individual Tree Structural Metrics by Tom E. Verhelst, Kim Calders, Andrew Burt, Miro Demol, Barbara D’hont, Joanne Nightingale, Louise Terryn, Hans Verbeeck

“…This trade-off could potentially impact the quality of the acquired data. We used a RIEGL VZ400i laser scanner to test the impact of different PRR settings on the point cloud quality and derived tree structural metrics from individual tree point clouds (diameter, tree height, crown projected area) as well as quantitative structure models (total branch length, tree volume). …”
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NetMHCpan-4.2: improved prediction of CD8+ epitopes by use of transfer learning and structural features by Jonas Birkelund Nilsson, Jason Greenbaum, Bjoern Peters, Bjoern Peters, Morten Nielsen

“…Traditional methods for predicting T cell epitopes primarily focus on MHC presentation, leveraging immunopeptidome data. Recent advancements however suggest significant performance improvements through transfer learning and refinement using epitope data. …”
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Heat Treatment-Driven Structural and Morphological Transformation Under Non-Parametric Tests on Metal–Ceramic-Sputtered Coatings by Federico Gamboa-Soto, Roberto Bautista-García, Diana I. Llanes-Gil López, Juan E. Bermea, René Tinoco Mendiola, Sion F. Olive-Méndez, Andrés González-Hernández

“…These methods were employed to evaluate the results from the structural characterization of annealed TiWN and TiWC coatings elaborated by magnetron sputtering. …”
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Optical Fiber-Based Structural Health Monitoring: Advancements, Applications, and Integration with Artificial Intelligence for Civil and Urban Infrastructure by Nikita V. Golovastikov, Nikolay L. Kazanskiy, Svetlana N. Khonina

“…This paper also explores the integration of OFSs with Artificial Intelligence (AI), which enables automated damage detection, intelligent data analysis, and predictive maintenance. Through case studies across key infrastructure domains, including bridges, tunnels, high-rise buildings, pipelines, and offshore structures, the review demonstrates the adaptability and scalability of these sensor systems. …”
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PhyBaSE: A Bayesian structural equation model approach to causal inference in phylogenetic comparative analyses by Achaz vonHardenberg, Alejandro Gonzalez‐Voyer

“…Here, we present a novel Bayesian structural equation model (PhyBaSE) which allows us to disentangle direct from indirect relationships among variables to propose potential causal hypotheses while accounting for phylogenetic non‐independence. …”
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Enhanced Prediction and Evaluation of Hydraulic Concrete Compressive Strength Using Multiple Soft Computing and Metaheuristic Optimization Algorithms by Tianyu Li, Xiamin Hu, Tao Li, Jie Liao, Lidan Mei, Huiwen Tian, Jinlong Gu

Subjects: “…structural damage diagnosis…”
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Two-to-One Trigger Mechanism for Event-Based Environmental Sensing by Nursultan Daupayev, Christian Engel, Sören Hirsch

Subjects: “…structural health monitoring…”
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Dual-target candidate compounds from a transformer chemical language model contain characteristic structural features by Sanjana Srinivasan, Alec Lamens, Jürgen Bajorath

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