Analysis of immune characteristics and inflammatory mechanisms in COPD patients: a multi-layered study combining bulk and single-cell transcriptome analysis and machine learning by Changjin Wei, Yongfeng Zhu, Caiming Chen, Feipeng Li, Li Zheng

“…Potential traditional Chinese medicine monomer components capable of targeting key biomarker proteins were screened using the HERB database, and their binding potential was evaluated through molecular docking and molecular dynamics simulations.ResultsA total of 495 significantly differentially expressed genes were identified, showing distinct expression patterns between COPD patients and healthy individuals. …”
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An integrated machine learning framework for developing and validating a prognostic risk model of gastric cancer based on endoplasmic reticulum stress-associated genes by Gang Wei, Yan Wang, Ru Liu, Lei Liu

“…The presence of immune and stromal cells within the tumor microenvironment was assessed with the aid of the ESTIMATE algorithm. Sensitivity variations to prevalent anticancer drugs between the risk groups were evaluated using the Genomics of Drug Sensitivity in Cancer(GDSC) database, and prospective therapeutic agents were confirmed through molecular docking techniques. …”
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The sustainable energy development dilemma in European countries: a time-series cluster analysis by Víctor Dugo, David Gálvez-Ruiz, Pilar Díaz-Cuevas

“…Abstract Background Measuring the evolution of countries in various related dimensions is essential for the evaluation of progress and compliance with the set of sustainable development goals. …”
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A validated multivariable machine learning model to predict cardio-kidney risk in diabetic kidney disease by James L. Jr. Januzzi, Naveed Sattar, Muthiah Vaduganathan, Craig A. Magaret, Rhonda F. Rhyne, Yuxi Liu, Serge Masson, Javed Butler, Michael K. Hansen

“…Using machine learning techniques, a parsimonious risk algorithm was developed. Results The final model included age, body-mass index, systolic blood pressure, and concentrations of N-terminal pro-B type natriuretic peptide, high sensitivity cardiac troponin T, insulin-like growth factor binding protein-7 and growth differentiation factor-15. …”
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Dynamic identification method for flow patterns of liquid-solid two-phase flow in horizontal pipelines by ZHUJUNLIANG Junliang, ZHAOZHIFENG, WANGSHUGANG, JIANG Shuang

“…The research results indicate that although there is some differences between the reconstructed flow pattern obtained by the DMD based identification method for liquid-solid two-phase flow patterns and the true flow pattern, the differences is within an acceptable range and can objectively reflect the evolution process of liquid-solid two-phase flow patterns. …”
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An RTM-Driven Machine Learning Approach for Estimating High-Resolution FAPAR From LANDSAT 5/7/8/9 Surface Reflectance by Guodong Zhang, Gaofei Yin, Yi Zhang, Jiangchuan Hu, Zongyan Li, Changjing Wang, Dujuan Ma, Jiangliu Xie

“…A coupled land–atmosphere RT model (RTM) and shuffled complex evolution optimization algorithm were first implemented at globally distributed VIIRS pixels for realistic simulation of land surface reflectance corresponding Landsat spectral bands and FAPAR under various conditions. …”
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Computational methods for protein identification from mass spectrometry data. by Leo McHugh, Jonathan W Arthur

“…We summarize the advances in computational solutions as they have responded to corresponding advances in mass spectrometry hardware. The evolution of scoring algorithms and metrics for automated protein identification are also discussed with a focus on the relative performance of different techniques. …”
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Immune-related gene characterization and biological mechanisms in major depressive disorder revealed based on transcriptomics and network pharmacology by Shasha Wu, Shasha Wu, Qing Jiang, Jinhui Wang, Jinhui Wang, Daming Wu, Yan Ren

“…The Lasso algorithm confirmed 4 hub genes as potential biomarkers for MDD. …”
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Two-stage stochastic capacitated Lot-Sizing problem by Lot-Size adaptation approach by Arsalan Rahmani, Meysam Hosseini, Amir Sahami

“…A new model formulation of the demand differential adjustment policy in a multi-stage production system is proposed. …”
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Application of the Jiles–Atherton model to construct the open-circuit voltage hysteresis model and determine the decommissioning of LiFePO4 batteries by Sy Ruen Huang, Sin Yan Chen, Siu Tong Lai

“…Here, the Jiles–Atherton (J–A) hysteresis model is constructed based on the magnetic properties between the electrolyte and electrodes and is applied to the voltage hysteresis model of LiFePO4 batteries to evaluate the battery degradation degree. By constructing the voltage hysteresis model between the open-circuit voltage (OCV) and state of charge (SOC), the authors estimated the voltage hysteresis parameters of the J–A model using a differential algorithm and accurately described the OCV–SOC relationship of the battery. …”
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FORCINN: First‐Order Reversal Curve Inversion of Magnetite Using Neural Networks by Zhaowen Pei, Wyn Williams, Lesleis Nagy, Greig A. Paterson, Roberto Moreno, Adrian R. Muxworthy, Liao Chang

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Influence of new snow on growth and melting of sea ice by D. D. Zavyalov, T. A. Solomakha

“…It is shown that small differences in the schemes of parameterization of physical and thermal properties of snow and ice cover may result in significant scatter in the simulation results. …”
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Study on Impact Excitation and System Dynamic Characteristics of Shield Machine Planetary Gear Train by Zeyin HE, Hongjian WU, Zhen YANG, Feng YI, ShiFeng PEI

“…These calculations determined the meshing force between internal and external gear pairs under different impact excitations, clarifying the dynamic evolution between impact excitation and gear pair meshing force. …”
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Morlet Wavelet Neural Networks-Based Intelligent Approach to Analyze the Impact of Aligned Magnetic Field on a Nanofluid Thin Film Flow With Irreversibility Analysis and Chemical R... by Muhammad Ramzan, Xiangning Zhou, Abdulkafi Mohammed Saeed, C. Ahamed Saleel, Ibtehal Alazman, W. S. Koh, Seifedine Kadry

“…The novel unsupervised Morlet wavelet neural networks (MW-NNs), combined with a heuristic algorithm, are used to solve the nonlinear ordinary differential equations (ODEs). …”
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Risk assessment of water inrush from coal floor based on enhanced samples with class distribution by Shiwei Liu, Jiaxin Zhao, Hao Yu, Jiaqi Chen

“…A prediction model of the water inrush risk for the coal seam floor was established using a coupled algorithm of extreme learning machines, self-adaptive differential evolution, and CDMTD (PCA-CDMTD-SaDE-ELM) and was used to evaluate the water inrush risk in the 19,105 working face of the Yunjialing Mine. …”
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Dynamic characteristics of a semi-active fractional-order inerter-based suspension with acceleration-velocity switch control by Yong Wang, Jiachen Li, Mingzhu Ji, Xiwen Qiao, Yang Wang

“…The dynamic model of the SA-FOIB suspension with AVS control is established, its dynamic response under road harmonic excitation is obtained using the averaging method, the dynamic performance under road harmonic and random excitations is analyzed and evaluated by the vehicle body acceleration, suspension dynamic deflection and wheel dynamic load, the optimized structural parameters are obtained using the genetic algorithm optimization method. …”
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A New Framework for Dynamic Educational Marketing Segmentation in Student Recruitment: Optimizing Fuzzy C-Means with Metaheuristic Techniques by Rizal Bakri, Bobur Sobirov, Niken Probondani Astuti, Ansari Saleh Ahmar, Pawan Kumar Singh

“…This study develops a new framework for dynamic educational marketing segmentation in student recruitment by optimizing FCM using three metaheuristic techniques: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Differential Evolution (DE). …”
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Research on the Model of Industrial Interconnection Intelligent Manufacturing Supply and Demand Network and Its Robustness by Jianjia He, Tianyuan Zheng

“…The experimental results show that under the four different attack algorithms, compared with the BA model, the two models proposed in this paper have stronger robustness. …”
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The Role of the TIMP1/LINC01615 Axis as a Regulator of the EMT Pathway in Gastric Cancer by Jiying Liu, Yeganeh Olyaee, Khatere Mokhtari, Chaoxiang Lv, Niloufar Salimian, Maliheh Entezari, Afshin Taheriazam, Mehrdad Hashemi, Mazaher Maghsoudloo, Ling Yuan

“…Additionally, immunological and immunotherapy analyses were conducted to evaluate the significance of TIMP1 in GCa. Pearson correlation analysis was performed between TIMP1 and all differentially expressed lncRNAs, and the most strongly correlated candidates were selected. …”
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Measuring Carbon Monoxide With TROPOMI: First Results and a Comparison With ECMWF‐IFS Analysis Data by T. Borsdorff, J. Aan de Brugh, H. Hu, I. Aben, O. Hasekamp, J. Landgraf

“…Using the operational processing algorithm, we analyze six subsequent days of measurements during the commissioning phase. …”
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