Skill-Learning-Based Trajectory Planning for Robotic Vertebral Plate Cutting: Personalization Through Surgeon Technique Integration and Neural Network Prediction by Heqiang Tian, Xiang Zhang, Yurui Yin, Hongqiang Ma

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Statistical learning-driven parameter tuning in injection molding using modified simplex method by Pongchanun Luangpaiboon, Walailak Atthirawong, Anucha Hirunwat, Pasura Aungkulanon

“…Nonlinear interactions and quality inconsistencies are frequently encountered by existing methods. The Statistical Learning-Driven Modified Simplex Method (SLMSM) is a novel hybrid optimization framework that is introduced to resolve this gap. …”
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A multi-dimensional data-driven ship roll prediction model based on VMD-PCA and IDBO-TCN-BiGRU-Attention by Huifeng Wang, Jianchuan Yin, Jianchuan Yin, Nini Wang, Lijun Wang, Lijun Wang

“…As such, the study proposes a combined prediction model. This model integrates data decomposition, dimensionality reduction, deep learning, and optimization techniques.MethodsThe model uses the variational mode decomposition (VMD) method to break down the ship’s roll motion data into components at different scales. …”
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Anticancer drug response prediction integrating multi-omics pathway-based difference features and multiple deep learning techniques. by Yang Wu, Ming Chen, Yufang Qin

“…First, we use statistical methods to compute the differences in gene expression, gene mutation, and gene copy number variations between within and outside biological pathways, and utilized these pathway difference values as cell line features, combined with the drugs' SMILES chemical structure information as inputs to the model. …”
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An integrative approach to alpha taxonomy in Erica L. (Ericaceae) with three new species from the Western Cape, South Africa by Rendert D. Hoekstra, Seth D. Musker, Michael D. Pirie, Jan H. J. Vlok

“…By combining traditional taxonomic methods, standard DNA sequencing methods building on openly available data matrices, and an openly available specialised taxonomic tool for the genus, we present an integrative, reproducible approach to alpha taxonomy in Erica. …”
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The Least Limiting Water Range to Estimate Soil Water Content Using Random Forest Integrated with GIS and Geostatistical Approaches by Orhan Dengiz, Pelin Alaboz

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Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU by LU Jing, ZHANG Yanru, WANG Rui

“…Given the instability and high volatility of wind power generation, this study proposes a short-term wind power prediction method based on BWO‒VMD and TCN‒BiGRU to improve the accuracy of wind power prediction and better support the energy transition under the “dual carbon” strategy.MethodsA short-term wind power generation prediction model based on the beluga whale optimization (BWO) algorithm, variational mode de-composition (VMD), temporal convolutional network (TCN), and bidirectional gated recurrent unit (BiGRU) was carefully proposed to improve the prediction accuracy of wind power generation, particularly considering its inherent instability and high volatility. …”
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Testing conditions for CoMo HDS catalyst in the kinetic region: integrated approach using the math calculations and catalytic experiments by Polina P. Mukhacheva, Yuliya V. Vatutina, Ivan A. Mik, Ksenia A. Nadeina, Maxim O. Kazakov, Oleg P. Klenov, Oleg V. Klimov, Aleksandr S. Noskov

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Hybrid energy system optimization integrated with battery storage in radial distribution networks considering reliability and a robust framework by Mohammad Javad Aliabadi, Masoud Radmehr

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Integrating AHP-Entropy and IPA Models for Strategic Rural Revitalization: A Case Study of Traditional Villages in Northeast China by Chenghao Wang, Guangping Zhang, Yunying Zhai

“…The AHP-entropy weighting method is applied to ensure objectivity in scoring, while kernel density analysis and coefficient of variation techniques identify spatial patterns and internal disparities. …”
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Impact of Health and Health-Related Domains on Professionals’ Perceptions of Care Complexity, Their Preferences for Integrated Care Planning and Interprofessional Collaboration by Lisa-Maria van Klaveren, Vincent G. M. Geukers, Rien de Vos

“…Methods: Ninety-eight medical doctors and nursing professionals assessed care complexity, integrated care planning needs, and interprofessional collaboration using thirteen paper cases based on five domains from the International Classification for Functioning (ICF). …”
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IoT Integrated Graphene Derivative-Based Capacitive Sensors with Machine Learning Classification for Precision Soil Moisture Monitoring Process by Ukani Neema Amish, Khera Shelej, Chakole Saurabh S.

“…Afterward, the k-means clustering method, supported by the elbow method, enabled our correct classification into dry, moderate, and wet moisture levels with silhouette scores of 0.88 (GO) and 0.91 (rGO) Sets. …”
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Integrative Bioinformatic Analysis of Cellular Senescence Genes in Ovarian Cancer: Molecular Subtyping, Prognostic Risk Stratification, and Chemoresistance Prediction by Ailian Li, Dianbo Xu

“…Cellular senescence-related genes (CSGs) are emerging as pivotal regulators of tumorigenesis and immune modulation, yet their prognostic and therapeutic implications in OC remain underexplored. <b>Methods</b>: We integrated RNA-sequencing data from TCGA-OV (n = 376), GTEx (n = 88), and GSE26712 (n = 185) to identify differentially expressed CSGs (DE-CSGs). …”
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Detecting cell-type-specific allelic expression imbalance by integrative analysis of bulk and single-cell RNA sequencing data. by Jiaxin Fan, Xuran Wang, Rui Xiao, Mingyao Li

“…Allelic expression imbalance (AEI), quantified by the relative expression of two alleles of a gene in a diploid organism, can help explain phenotypic variations among individuals. Traditional methods detect AEI using bulk RNA sequencing (RNA-seq) data, a data type that averages out cell-to-cell heterogeneity in gene expression across cell types. …”
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Exercise-changed gut mycobiome as a potential contributor to metabolic benefits in diabetes prevention: an integrative multi-omics study by Yao Wang, Jiarui Chen, Yueqiong Ni, Yan Liu, Xiang Gao, Michael Andrew Tse, Gianni Panagiotou, Aimin Xu

“…With our established randomized controlled trial of exercise intervention in Chinese males with prediabetes (n = 39, ClinicalTrials.gov:NCT03240978), we investigated the dynamics of human gut mycobiome and further interrogated their associations with exercise-elicited outcomes using multi-omics approaches.Methods Clinical variations and biological samples were collected before and after training. …”
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Ecological Momentary Assessment of Self-Harm Thoughts and Behaviors: Systematic Review of Constructs From the Integrated Motivational-Volitional Model by Lizzy Winstone, Jon Heron, Ann John, Olivia J Kirtley, Paul Moran, Jennifer Muehlenkamp, Rory C O'Connor, Becky Mars

“… BackgroundThe integrated motivational-volitional model (IMV) is one of the leading theoretical models of suicidal thoughts and behavior. …”
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Integrative molecular subtyping and diagnostic model construction for Moyamoya disease based on diverse programmed cell death gene patterns by Qikai Tang, Chenfeng Ma, Hu Li, Jiaheng Xie, Weiqi Bian, Qingyu Lu, Zeyu Wan, Wei Wu

“…Abstract Background The role of cell death in the pathogenesis of Moyamoya disease (MMD) remains unclear. Methods Gene expression data from two publicly available MMD datasets (GSE157628 and GSE189993) were integrated. …”
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Integrated transcriptomic and immune profiling reveals crucial molecular pathways and hub genes associated with postoperative delirium in elderly patients by Zi-han Gou, Nan Su, Xiao-chuan Li, Da-peng Ren, Shan-shan Ren, Lin Wang, Yao Wang

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Comprehensive analysis of cholesterol metabolism-related genes in prostate cancer: integrated analysis of single-cell and bulk RNA sequencing by Zixiong Jiang, Yu Luo, Liangdong Song, Jindong Zhang, Chengcheng Wei, Shuai Su, Delin Wang

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Integrated morphophysiological, transcriptomic, and metabolomic data uncover the molecular mechanism of environmental adaptation of Zanthoxylum armatum with different latitudinal g... by Yuan Guo, Xueqian Fu, Chong Sun, Chong Sun, Yifei Deng, Han Liu, Long Tong, Mi Kuang, Ning Tang, Wenying Yang, Xia Liu, Zexiong Chen

“…IntroductionLeaves are sensitive to environmental changes and directly reflect the degree of environmental impact on plants and their ability to adapt to the environment, making it crucial to understand the genetic mechanisms underlying leaf variation. Zanthoxylum armatum is a widely distributed and economically important forest species in China that shows remarkable regional adaptability. …”
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