DAGSLAM: causal Bayesian network structure learning of mixed type data and its application in identifying disease risk factors by Yuanyuan Zhao, Jinzhu Jia

“…Methods This study proposes an extension of the NOTEARS algorithm, termed DAGSLAM, which is designed for Bayesian network structure learning with mixed-type data. The algorithm integrates continuous and categorical variables through a tailored loss function, enhancing its applicability to real-world epidemiological datasets. …”
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PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

“…In this paper, we proposed PGTransNet, a novel physics-guided transformer network for 3D Ocean temperature and salinity forecasting. …”
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Exploring the Mechanism of Action of Xuebijing Injection in Treating Acute Respiratory Distress Syndrome Based on Network Pharmacology and Animal Experiments by Li J, Shen M, Yin Z

“…Protein interaction networks, GO, and KEGG enrichment analyses were conducted. …”
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Spatially Resolved Metabolomics and Network Pharmacology Reveal Extract D Nephrotoxicity Mechanisms in <i>Pleuropterus multiflorus</i> Thunb. by Haiyan Jiang, Ying Wang, Xiaoyan Duan, Shushu Guo, Xiaoyu Fan, Tianyu Zhou, Jie Li, Jiuming He, Jianbo Yang, Hongtao Jin

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Long short-term memory (LSTM) networks for precision prediction of Schottky barrier photodiode behavior at different illumination levels by Gökalp Tulum, Sajjad Nematzadeh, İlke Taşçıoğlu, Şemsettin Altındal, Fahrettin Yakuphanoğlu

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The mechanisms of Brucea javanica in the treatment of oral squamous cell carcinoma: a network pharmacology, molecular docking, and experimental study by MingKang Li, Juan Zhan, YiHan Lai, YuJie Ma, HongCheng Wei, Lin Jiang, JuanJuan Zha, YiSen Shao, Wei Wang

“…Gene ontology (GO) function enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of the intersection targets were conducted using the Metascape database. …”
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Therapeutic effects of raw rhubarb on gastrointestinal complications in ischemic stroke: An integrated analysis of gut microbiota, metabolomics, and network pharmacology by Zhanhao Ye, Dongmin Cao, Wenxing Ao, Ting Li, Minghua Xian, Shumei Wang

“…Correlation analysis was conducted to establish links between gut microbiota alterations and differential metabolites. …”
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Influences of intelligent predictive networks on thermal efficiency of radiative magnetohydrodynamics hybrid nanofluid flow considering heat absorption-generation aspects by Muhammad Habib Ullah Khan, Waqar Azeem Khan, Taseer Muhammad, Marei S. Alqarni, Hamid Qureshi, Iftikhar Hussain

“…One of basic factor in improving the heat transfer of nanofluids is the mass flow rates, particle volume fractions and thermal conductivity of the nanoparticles. The improvement in thermal transmission of depending specially on the thermal conductivity of nanoparticles while flow rates and particle volume fractions remain constant. …”
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Development of a Novel KCNN4-Related ceRNA Network and Prognostic Model for Renal Clear Cell Carcinoma by Hengtao Bu, Qiang Song, Jiexiu Zhang, Yuang Wei, Bianjiang Liu

“…Small interfering RNA was employed to knock down KCNN4, and corresponding functional experiments were conducted on ccRCC cells as well. …”
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Alzheimer’s disease recognition using graph neural network by leveraging image-text similarity from vision language model by Byounghwa Lee, Jeong-Uk Bang, Hwa Jeon Song, Byung Ok Kang

“…Abstract Alzheimer’s disease (AD), a progressive neurodegenerative condition, notably impacts cognitive functions and daily activity. One method of detecting dementia involves a task where participants describe a given picture, and extensive research has been conducted using the participants’ speech and transcribed text. …”
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Assessing Water Resource Planning Policies in the Sefidroud Irrigation and Drainage Network Using the Water-Land-Food Nexus Approach by S. Ashkevari, S. Janatrostami, A. Ashrafzadeh

“…In this study, a conceptual model based on dynamic systems was developed to optimize the management of water, land, and agricultural production (tea and rice) in the irrigation zones of the Sefidroud irrigation and drainage network. To understand the behavior of the network and create a simulation model of the system, a dynamic systems modeling approach was employed, and the simulation was conducted using MATLAB/Simulink. …”
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Regional Coordination-Spatial Governance-Multi-network Integration Oriented Concept for Shenzhen Passenger Transport Hub System Construction by ZHANG Zhengjun, ZHOU Jun, LUO Yi, LIANG Duidui

“…[Method] First, an evaluation framework for the existing passenger transport hub system in Shenzhen is established to assess passenger travel demands and characteristics, the functional hierarchy and construction concepts of passenger transport hub system are clarified, and goals of the passenger transport hub system are proposed, including efficient and smooth domestic and international connectivity, promotion of regional coordinated development, support for efficient urban governance, and integrated multi-network transportation. …”
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Integrative bioinformatics frameworks for abdominal aortic aneurysm using GWAS meta-analysis, biological network construction, and structural modeling by Pakorn Sagulkoo, Hathaichanok Chuntakaruk, Apichat Suratanee, Kitiporn Plaimas, Nuttinee Teerakulkittipong

“…Understanding its molecular mechanisms and identifying potential therapeutic targets are crucial for disease screening, diagnosis, and treatment. In this study, we conducted a meta-analysis of multiple genome-wide association studies (GWASs) to identify genetic variants associated with AAA and explored the functional implications of these variants in disease pathology. …”
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iProtDNA-SMOTE: Enhancing protein-DNA binding sites prediction through imbalanced graph neural networks. by Ruiyan Huang, Wangren Qiu, Xuan Xiao, Weizhong Lin

“…Protein-DNA interactions play a crucial role in cellular biology, essential for maintaining life processes and regulating cellular functions. We propose a method called iProtDNA-SMOTE, which utilizes non-equilibrium graph neural networks along with pre-trained protein language models to predict DNA binding residues. …”
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Comparative effectiveness of various combined interventions for type 2 diabetes and obesity: a systematic review and network meta-analysis by Li Cui, Donglei Lu, Sijie Tan, Liquan Cao

“…Data extraction and quality assessment were independently conducted by two researchers, and Bayesian network meta-analysis was performed using R software.ResultsA total of 128 RCTs were included. …”
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Systematic network pharmacology and experimental validation reveal anti-glioma mechanisms of ganoderma lucidum via multi-target regulation by Xue Mei, Jufen Zhang, Lu Chen, Fang Wang

“…GO and KEGG enrichment analyses were performed to explore underlying biological functions and pathways. Protein–protein interaction (PPI) networks were constructed to identify hub genes. …”
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Exploring the Anti-depression Mechanism of Polygonatum ordoratum Based on GEO Database Combined with Network Pharmacology and Molecular Docking Technology by Zhenxu JIANG, Chaoxing WANG, Yuliang WANG, Hong ZHAO, Yu SHEN, Shiqing SUN, Yongzhe MA, Mingming SONG, Yu ZHANG

“…Component screening was conducted through the TCMSP database. The "drug-component-target" and PPI networks were constructed using Cytoscape 3.7.1 software. …”
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Compact Multi-Beamforming Networks Based on Generalized Joined Coupler Matrix With Flexible Beam Angles and Low Sidelobe Levels by Yang Xu, He Zhu, Y. Jay Guo

“…The investigation of beamforming networks (BFNs) for multibeam antenna arrays has been ongoing for decades. …”
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MarshCover: A Web-based Tool for Estimating Vegetation Coverage in Marsh Images Using Convolutional Neural Networks by Lucas Wayne Welch, Xudong Liu

“…Marsh ecosystems are some of our most important, serving many crucial ecological functions. They are also rapidly changing, and it is vital for scientists to track these changes. …”
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Applying improved particle swarm optimization for dynamic service composition focusing on quality of service evaluations under hybrid networks by Honghao Gao, Kang Zhang, Jianhua Yang, Fangguo Wu, Hongsheng Liu

“…Hybrid service compositions can be varied, representing an effective method of integrating into wireless scenarios context-aware applications that can sense mobility via changes in user location and combining services to support target functions. In this article, improved particle swarm optimization is introduced into the quality service evaluation of dynamic service composition to meet the mobility requirements of hybrid networks. …”
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