Random graphs with specific degree distribution and giant component size by Laurent Hébert-Dufresne, Márton Pósfai, Antoine Allard

“…Accounting explicitly for this component also allows us to capture important structural features of the network in a system of only one or two equations. …”
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How digital economy and green and low carbon policies affect non-agricultural employment?—Evidence from China by Zhiguang Hu

“…In areas with underdeveloped digital or green capacities, addressing foundational gaps should precede coordinated investments, supported by a “digital + green” vocational training fund to alleviate structural unemployment. These findings provide practical guidance for advancing inclusive and sustainable rural employment transitions.…”
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Study on the mechanical properties of lithium slag recycled fine aggregate concrete. by Jun Wan, Caisen Wang, Jiongfeng Liang, Yunchen Wang

“…Overall, this study provides a sustainable approach to concrete production by reducing environmental burdens and supporting the circular use of industrial and construction waste in structural engineering.…”
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Altered Gut Microbiota and Plasma Metabolome Profiles Characterize Depression Individuals with Ischemic Stroke: A Comparative Analysis by Cao N, Lv D, Liu Y, Zhang H, Zhang X

“…The results showed that people with depression and IS exhibited a higher prevalence of bacteria with lipopolysaccharide (LPS) structures and reduced presence of butyrate-producing bacteria. …”
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Ductility of continuous RC beams strengthened with partially bonded near-surface mounted CFRP bars by Mahmoud A. Abdelraouf, Ayman H. Khalil, Ahmed F. Maree, Amr M. Ibrahim

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Deciphering a global network of functionally associated post‐translational modifications by Pablo Minguez, Luca Parca, Francesca Diella, Daniel R Mende, Runjun Kumar, Manuela Helmer‐Citterich, Anne‐Claude Gavin, Vera van Noort, Peer Bork

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Unveiling the antiviral inhibitory activity of ebselen and ebsulfur derivatives on SARS-CoV-2 using machine learning-based QSAR, LB-PaCS-MD, and experimental assay by Silpsiri Sinsulpsiri, Yuji Nishii, Qing-Feng Xu-Xu, Masahiro Miura, Patcharin Wilasluck, Kanokwan Salamteh, Peerapon Deetanya, Kittikhun Wangkanont, Aphinya Suroengrit, Siwaporn Boonyasuppayakorn, Lian Duan, Ryuhei Harada, Kowit Hengphasatporn, Yasuteru Shigeta, Liyi Shi, Phornphimon Maitarad, Thanyada Rungrotmongkol

“…Abstract Ebsulfur and ebselen derivatives that were proven to be potent inhibitors against the main protease (MPro) of SARS-CoV-2 which is an essential enzyme for viral replication were chosen to study the quantitative structure–activity relationship (QSAR) analysis using a classical multiple linear regression (MLR) and a machine learning approach of random forest (RF) and artificial neural network (ANN) in order to find the relationship between molecular structural properties and biological inhibitory activities. …”
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Comparison of climate-phenology-hydrology associations at two long-term studied forest watersheds in subtropical mountainous Taiwan by Chung-Te Chang, Jun-Yi Lee, Jyh-Min Chiang, Hsueh-Ching Wang, Cho-ying Huang, Jr-Chuan Huang, Chiu-Hsien Wang, Chun-Wei Tseng

“…PV and temperature exhibited linear correlations without time-lag effect (R2 = 0.51–0.57, p < 0.001). …”
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Shape Effect Analysis of the Mechanical Properties of PVC-Coated Fabrics under Off-Axis Tension by Lanlan Zhang, Yingying Zhang, Qichong Zhao, Junhao Xu, Jigang Xue

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Using bootstrap fourier granger causality test in quantiles to re-examine Pollution Haven/Halo hypotheses in China and G3 countries by Chang Tsangyao, Chen Sheng-Tung, Wang Mei-Chih

“…We re-examine the Pollution Haven and Pollution Halo hypotheses (PHEH and PHALH) using a quantile-based Bootstrap Fourier Granger causality test, a method adept at identifying non-linear structural breaks. Our study encompasses data from China and the G3 countries (Japan, the UK, and the USA) spanning the period from 1980 to 2020. …”
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Generative design and multi-objective optimization for enhanced building thermal performance by Omar Ain, Husam B. Khalil, Maryam El-Maraghy, Mohamed Marzouk

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A fuzzy-optimized multi-level random forest (FOMRF) model for the classification of the impact of technostress by Gabriel James, Ifeoma, David, John, Samuel, Enefiok, Imeh Umoren, Ubong Etuk, Aloysius, Anietie, Saviour, Chikodili

“…Data was collected from academic and corporate settings through a structured process. Preprocessing techniques—such as feature extraction, selection, and normalization—were applied to structure and refine the dataset. …”
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Frequency-dependent Emission of the Millisecond Pulsar B1937+21 with the Parkes Ultrawideband Receiver by Z. Wang, Z. G. Wen, J. P. Yuan, N. Wang, W. Han, H. G. Wang, J. L. Chen, Z. Wang

“…The temporal variability of the dispersion measure, the Faraday rotation measure, and the flux density are analyzed from their corresponding structure functions. The frequency-and-longitude-dependent polarization evolutions are investigated. …”
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Low-Rank Kernel-Based Semisupervised Discriminant Analysis by Baokai Zu, Kewen Xia, Shuidong Dai, Nelofar Aslam

“…Semisupervised Discriminant Analysis (SDA) aims at dimensionality reduction with both limited labeled data and copious unlabeled data, but it may fail to discover the intrinsic geometry structure when the data manifold is highly nonlinear. …”
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White matter changes and word finding failures with increasing age. by Emmanuel A Stamatakis, Meredith A Shafto, Guy Williams, Phyllis Tam, Lorraine K Tyler

“…The majority of research examining structural-cognitive relationships in aging focuses on the role of age-related changes to grey matter integrity. …”
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Artificial-Intelligence-Based Prediction of Crack and Shrinkage Intensity Factor in Clay Soils During Desiccation by Abolfazl Baghbani, Tanveer Choudhury, Susanga Costa

“…Desiccation-induced cracking in clay soils significantly affects the structural performance and durability of geotechnical systems. …”
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The Use of Minimization Solvers for Optimizing Time-Varying Autoregressive Models and Their Applications in Finance by Zhixuan Jia, Wang Li, Yunlong Jiang, Xingshen Liu

“…Unfortunately, this assumption often fails in practice, especially in systems subject to structural breaks or evolving temporal dynamics. The Time-Varying Vector Autoregressive (TV-VAR) model has been developed to address this limitation, allowing model parameters to vary over time and thereby offering greater flexibility in capturing non-stationary behavior. …”
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Application of chromatography-mass spectrometry to determine free and esterified fatty acids in their combined presence in plant raw materials by M. N. Lyutikova, Yu. P. Turov, E. H. Botirov

“…They perform energetic, structural and protective functions. Lipids actively change metabolism in the autumn time and increase the resistance of plants to low temperatures. …”
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Co-Optimization of Vibration Suppression and Data Efficiency in Robotic Manipulator Dynamic Modeling by Xiaowei Han, Kunru Wu, Nanmu Hui

“…First, a joint excitation trajectory is designed using a fifth-order Fourier series with zero boundary conditions to ensure sufficient excitation of system dynamics. Then, a linear regression formulation of the manipulator’s structural dynamics is established, and the BLS network is employed to model the unstructured residuals—primarily arising from nonlinear friction—with high precision. …”
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Interdependent-path Recurrent Embedding for Knowledge Graph-aware Recommendation by Xiao Sha, Jianwen Wang, Xiaoran Xu, Jianchuan Ding

“…However, existing KG-aware recommendation methods face significant challenges in sufficiently exploiting both the structural and semantic information while maintaining computational efficiency. …”
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