Comprehensive bioinformatics analysis identifies metabolic and immune-related diagnostic biomarkers shared between diabetes and COPD using multi-omics and machine learning by Qianqian Liang, Yide Wang, Zheng Li, Zheng Li, Zheng Li, Zheng Li

“…Single-cell sequencing, clinical samples, and animal models were used to confirm the robustness of shared biomarkers.ResultsCross-analysis identified 186 shared DEGs between diabetes and COPD patients. Functional enrichment results demonstrate that metabolic and immune-related pathways are common features altered in both diabetes and COPD patients. …”
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Empirical Analysis of Data Sampling-Based Decision Forest Classifiers for Software Defect Prediction by Fatima Enehezei Usman-Hamza, Abdullateef Oluwagbemiga Balogun, Hussaini Mamman, Luiz Fernando Capretz, Shuib Basri, Rafiat Ajibade Oyekunle, Hammed Adeleye Mojeed, Abimbola Ganiyat Akintola

“…Specifically, this study evaluates the cost-sensitive forest (CS-Forest), forest penalizing attributes (FPA), and functional trees (FT) as DF models. These models were further enhanced using homogeneous ensemble techniques, such as bagging and boosting techniques. …”
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Integrated multi-omics analysis identifies TPX2 as a potential prognostic and immunological biomarker in hepatocellular carcinoma by Hui Peng, Yong-peng Wei, Xin-bo Liu, Yu Wang, Jian-yong Yuan

“…TPX2, a microtubule-associated protein essential for mitotic spindle formation, has been associated with tumorigenesis in various cancers. However, its functional significance in shaping the immune landscape and influencing treatment sensitivity in HCC remains insufficiently elucidated. …”
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Decoding Cuproptosis-Sphingolipid-Immune Crosstalk in Atopic Dermatitis: A Multi-Omics Network Analysis by Xiaowen Wen, Shulin Jia, Jing Wu, Suitian Wang, Teng Yu, Haoyou Xu

“…<b>Methods:</b> We integrated two datasets (GSE157194 and GSE193309) from the GEO database and employed weighted gene co-expression network analysis (WGCNA) to identify disease-related modules. Through multi-dimensional approaches, including differential gene expression analysis, functional enrichment analysis, GeneMANIA network construction, GSEA/GSVA pathway enrichment analysis, and immune infiltration analysis, we systematically elucidated the regulatory mechanisms of cuproptosis-related genes (CRGs) in AD. …”
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Design of a Novel Hybrid Concentrated Photovoltaic–Thermal System Equipped with Energy Storages, Optimized for Use in Residential Contexts by Carmine Cancro, Valeria Palladino, Aniello Borriello, Antonio Romano, Luigi Mongibello

“…Therefore, the main components of cell and primary lens have been chosen to contain the dimensions and, in particular, the thickness of the module. This paper describes the main design steps: thermal analysis allowed the housing construction material to be defined to contain cell working temperature, while with deep optical studies, experimentally validated main geometrical and functional characteristics of the CPV have been identified. …”
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Transcriptome-Based Analysis of the Co-Expression Network of Genes Related to Nitrogen Absorption in Rice Roots Under Nitrogen Fertilizer and Density by Runnan Wang, Qi Zhu, Haiyuan Wang, Qiangqiang Xiong

“…Ten hub genes emerged through intramodular connectivity analysis, including <i>LOC_Os02g53130</i> (N metabolism), <i>LOC_Os06g48240</i> (peroxidase activity), and <i>LOC_Os01g48420</i> (energy transduction), with RT-qPCR validation confirming transcriptome-derived expression profiles. Functional characterization revealed synergistic coordination between Turquoise module N metabolic pathways and Blue module redox homeostasis, suggesting an integrated regulatory mechanism for root adaptation to N density interactions. …”
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The development of an attention mechanism enhanced deep learning model and its application for body composition assessment with L3 CT images by Liang Zhang, Jiao Li, Zhi Yang, Jun Yan, Lin Zhang, Long-bo Gong

“…An internet-based application was developed using L3BCSM, which has four functional modules: population analysis, time series analysis, consistency analysis, and manual result checking. …”
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Inner–Outer Loop Intelligent Morphology Optimization and Pursuit–Evasion Control for Space Modular Robot by Wenwei Luo, Ling Meng, Fei Feng, Pengyu Guo, Bo Li

“…First, a morphological design space considering the functional characteristics of different modules is designed. …”
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Automated seizure detection in epilepsy using a novel dynamic temporal-spatial graph attention network by Kunxian Yan, Xiangyu Luo, Lei Ye, Wenping Geng, Jian He, Jiliang Mu, Xiaojuan Hou, Xiang Zan, Jiuhong Ma, Fei Li, Le Zhang, Xiujian Chou

“…By integrating graph signal processing with a hybrid deep learning framework, DTS-GAN collaboratively extracts spatiotemporal features through two key modules: an LSTM-based temporal encoder to model long-term dependencies in EEG sequences, and a dynamic graph attention network with probabilistic Gaussian connectivity, enabling adaptive learning of transient functional interactions across electrode nodes. …”
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Protein-Protein Interactions Prediction Based on Iterative Clique Extension with Gene Ontology Filtering by Lei Yang, Xianglong Tang

“…Cliques (maximal complete subnets) in protein-protein interaction (PPI) network are an important resource used to analyze protein complexes and functional modules. Clique-based methods of predicting PPI complement the data defection from biological experiments. …”
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Analysis of Void Reactivity Coefficient for 3D BWR Assembly Model by Andrius Slavickas, Raimondas Pabarčius, Aurimas Tonkūnas, Eugenijus Ušpuras

“…VRC values were calculated for different BWR assembly models applying deterministic T-NEWT and Monte Carlo KENO-VI functional modules of SCALE 6.1 code package. The difference between deterministic T-NEWT and Monte Carlo KENO-VI simulations is negligible (0.18 pcm/%). …”
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Finite-Time Synchronization Criteria for Caputo Fractional-Order Uncertain Memristive Neural Networks with Fuzzy Operators and Transmission Delay Under Communication Feedback by Hongguang Fan, Kaibo Shi, Zizhao Guo, Anran Zhou

“…Based on the characteristics of the neural networks being studied, we have designed distinctive information feedback control protocols including three different functional sub-modules. Combining comparative theorems, inequality techniques, and stability theory, novel delay-independent conditions can be derived to ensure the finite-time synchronization (FTS) of fuzzy CFUMNNs. …”
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The LMO2 -25 Region Harbours GATA2-Dependent Myeloid Enhancer and RUNX-Dependent T-Lymphoid Repressor Activity. by Nicolas Bonadies, Berthold Göttgens, Fernando J Calero-Nieto

“…Here we dissected the functional activity of element -25 and showed it to consist of two modules that conferred independent and cell-type specific activities: a 3' myeloid enhancer and a 5' T-cell repressor. …”
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SYNTHESIS OF ECONOMETRIC AND NEURAL NETWORK MODELS FOR INDICATORS PREDICTION IN RESEARCH AND INNOVATION IN THE RUSSIAN FEDERATION by I. Kolmakov, M. Domozhakov

“…The stages of indicators forecasting in a hybrid model are shown. The hybrid models functional structure based on the use of software modules are considered. …”
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Genetic effects on molecular network states explain complex traits by Matthias Weith, Jan Großbach, Mathieu Clement‐Ziza, Ludovic Gillet, María Rodríguez‐López, Samuel Marguerat, Christopher T Workman, Paola Picotti, Jürg Bähler, Ruedi Aebersold, Andreas Beyer

“…Network structure and effect propagation are best understood at the level of functional modules, but so far, no concept has been established to include the global network state. …”
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Development of a machine learning-derived dendritic cell signature for prognostic stratification in lung adenocarcinoma by Fang Zhou, Fang Zhou, Meng Wang, Meng Wang, Zheng Wang, Zheng Wang, Wei Li, Wei Li, Xike Lu, Xike Lu

“…High-dimensional weighted gene co-expression network analysis (hdWGCNA) and pseudotime analysis were utilized to identify functional modules and lineage trajectories. A dendritic cell-related signature (DCRS) was constructed using multiple machine learning algorithms (Lasso-Cox, RSF, CoxBoost, Stepwise-Cox), and its prognostic performance was validated in seven external cohorts. …”
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Rapid analysis of temperature fields in electronic enclosures based on the finite difference thermal resistance network method by Xiaoyue Zhang, Yinmo Xie, Bing Liu, Yingze Meng, Kewei Sun, Guangsheng Wu, Jianyu Tan

“…Subsequently, the model was applied to conduct thermal analysis on different functional modules and was compared with the FVM approach. …”
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Optimization of Quantitative Financial Data Analysis System Based on Deep Learning by Meiyi Liang

“…From the perspective of function test and performance test, two functions of similar stock search and financial matching model are selected and tested, and the results are in line with the expected results.…”
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Research on Clothing Image Database Retrieval Algorithm Based on Wavelet Transform by Xiaoyue Cui

“…Finally, the generating function of wavelet transform is determined, and a cluster of functions is obtained through translation and expansion. …”
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Age-Friendly Public-Space Retrofit in Peri-Urban Villages Using Space Syntax and Exploratory Factor Analysis by Qin Li, Zhenze Yang, Jingya Cui, Xingping Wu, Jiao Liu, Wenlong Li, Yijun Liu

“…Using Liulin Village, Beijing, as a test bed, axial-line modelling pinpoints the low-integration alleys and mono-functional retail strips, while elder-user surveys distil four latent demand factors, led by personal convenience. …”
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