Optimizing anti-PD-1/PD-L1 therapy efficacy and fecal microbiota transplantation donor selection through gut mycobiome-based enterotype by Muni Hu, Xiaoqiang Zhu, Xiaowen Huang, Li Hua, Xiaolin Lin, Hangyu Zhang, Ye Hu, Tianying Tong, Lingxi Li, Baoqin Xuan, Ying Zhao, Yilu Zhou, Jinmei Ding, Yanru Ma, Yi Jiang, Lijun Ning, Yue Zhang, Zhenyu Wang, Jing-Yuan Fang, Youwei Zhang, Xiuying Xiao, Jie Hong, Huimin Chen, Jiantao Li, Haoyan Chen

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A Hybrid Adaptive Particle Swarm Optimization Algorithm for Enhanced Performance by Zhengfeng Jiang, Daoheng Zhu, Xiao-Yu Li, Ling-Bo Han

“…To overcome these problems, this paper proposes an enhanced variant featuring adaptive selection. Initially, a composite chaotic mapping model integrating Logistic and Sine mappings is employed to initialize the population for diversity and exploration capability. …”
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Optimization, purification and antioxidant potential of polyphenol ultrasonic-assisted extraction from pecan 'Shaoxing' green husk by Tian Hu, Fei Wang, Zhe Zhao, Kaifeng Hu, Chunhua Zhou

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Microstructure and mechanical performances of NiCoFeAlTi high-entropy intermetallic reinforced CoCrFeMnNi high-entropy alloy composites manufactured by selective laser melting by Hong Yang, Pan Ma, Zhiyu Zhang, Xiaochang Xie, Ping Yang, Han Zhang, Yandong Jia, Konda Gokuldoss Prashanth

“…In this study, CoCrFeMnNi HEA/NiCoFeAlTi HER high-entropy alloy composites were prepared using SLM technology. Interestingly, gas-atomized NiCoFeAlTi high-entropy intermetallic (HER) powder was selected as the reinforcing phase, and the CoCrFeMnNi HEA matrix was used for comparison. …”
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Intelligently optimized electrospun polyacrylonitrile/poly(vinylidene fluoride) nanofiber: Using artificial neural networks by M. M. Salehi, F. Hakkak, S. M. Sadati Tilebon, M. Ataeefard, M. Rafizadeh

“…Electrospinning of polyacrylonitrile/poly(vinylidene fluoride) (PAN/PVdF) was applied to obtain a quantitative relationship between selected electrospinning parameters (namely applied voltage, solution concentration, and PVdF composition) and nanofiber diameter, the standard deviation of nanofiber diameter and porosity of electrospun membrane. …”
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A Comprehensive Comparison between Multi-Objective Optimization Methods for Composite Hexagonal-Triangle Grid Structure using FSDT under External Hydrostatic Pressure by Mahsa Soheil Shamaee

“…The results yield a Pareto optimal front that showcases diverse solutions across different regions, providing decision-makers with the flexibility to select the solution that best fits their preferences. …”
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AOPxSVM: A Support Vector Machine for Identifying Antioxidant Peptides Using a Block Substitution Matrix and Amino Acid Composition, Transformation, and Distribution Embeddings by Rujun Li, Haotian Wang, Qiunan Yu, Jing Cai, Liangzhen Jiang, Ximei Luo, Quan Zou, Zhibin Lv

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An LJDRNN-based efficient energy intensity prediction in carbon fiber composite material manufacturing process by Rangaswamy Nikhil, Karthikeyan A G, Prabhu Loganathan, Tabrej Khan, Tamer A Sebaey

“…Then, by employing the Linear Interpolated Honey Badger Optimization (LIHBO), the optimal components are selected. …”
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Selectivity of Salicylaldoxime and its Derivatives by Burak Tüzün

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Reference-free deconvolution of complex samples based on cross-cell-type differential analysis: Systematic evaluations with various feature selection options by Weiwei Zhang, Zhonghe Tian, Ling Peng

“…A previous study emphasized the importance of feature selection for improving estimation accuracy in reference-free deconvolution.MethodsIn this paper, we systematically evaluated five feature selection options and developed an optimal feature-selection-based reference-free deconvolution method. …”
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Spatiotemporal Land Use Change Detection Through Automated Sampling and Multi-Feature Composite Analysis: A Case Study of the Ebinur Lake Basin by Yi Yang, Liang Zhao, Ya Guo, Shihua Liu, Xiang Qin, Yixiao Li, Xiaoqiong Jiang

“…Feature selection based on the Gini coefficient and Out-Of-Bag Error (OOBE) reduced the original 48 features to 23. …”
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Real-Time Evaluation of the Improved Eagle Strategy Model in the Internet of Things by Venushini Rajendran, R Kanesaraj Ramasamy

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Thermodynamic calculation-assisted design of 500 MPa high performance steel by machine learning by Weiyi Gong, Jinshan He, Fan Wang, Xitao Wang

“…Subsequently, three groups of designed chemical compositions were appropriately selected for verification. …”
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Optimization of composite microbial agents containing plant inter-root growth-promoting bacteria and verification using mini Chinese cabbage (Brassica rapa L. ssp. Pekinensis) by Xiangjun Fan, Wenxia Yao, Taotao Liu, Yan Wang, Yang Lu, Hongyu Yang, Yuxin Zhang

“…Six dominant strains were selected based on the identified characteristics to prepare composite microbial agents, which were then optimized using a pot experiment with mini Chinese cabbage (Brassica rapa L. ssp. …”
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Optimization of Ultrasound-Assisted Extraction of Phenolic Compounds from Romanian Blackthorn (<i>Prunus spinosa</i> L.) Fruits by Ana-Maria Drăghici-Popa, Oana Cristina Pârvulescu, Raluca Stan, Ana-Maria Brezoiu

“…Selecting factors that significantly affect the extraction process and optimizing them are essential to obtain high extraction efficiency. …”
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Equilibrium, kinetic, and selectivity studies for high-capacity and -selectivity uranium adsorption on polyacrylic acid copolymer hydrogel by Fatemeh Maleki, Zahra Rafiei-Sarmazdeh, Rezvan Torkaman, Mehdi Asadollahzadeh

“…We employed RSM utilizing a five-level, three-variable central composite design (CCD) to optimize the uranium adsorption conditions of p(AA-co-Am) hydrogel. …”
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Multi-objective optimization of process parameters for laser cladding of Cr3C2/15-5PH composite coatings on 20CrMnTi using RSM-CMOPSO-EWM-CV by Yanbin Du, Kaiyi Mao, Xin Lei, Wensheng Ma, Qiang Liang, Jian Tu

“…To reveal the influence of the process parameters of laser cladding on the quality characteristics of composite coatings and to identify the optimal portfolio of these parameters for producing high-quality Cr3C2/15-5PH composite coatings, a multi-objective optimization method based on RSM-CMOPSO-EWM-CV is proposed. …”
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Prevalence and predictors of sub-optimal laboratory monitoring of selected higher risk medicines in Irish general practice: a 5-year retrospective cohort study of community-dwellin... by Fiona Boland, Emma Wallace, Frank Moriarty, Tom Fahey, Caroline McCarthy, Ann Sinéad Doherty, Mark Feighery

“…Objectives To describe the prevalence of sub-optimal monitoring for selected higher-risk medicines in older community-dwelling adults and to evaluate patient characteristics and outcomes associated with sub-optimal monitoring.Study design Retrospective observational study (2011–2015) using historical general practice-based cohort data and linked dispensing data from a national pharmacy claims database.Setting Irish primary care.Participants 625 community-dwelling adults aged ≥70 years and prescribed at least one higher-risk medicine during the 5-year study period.Primary and secondary outcome measures The primary outcome was the prevalence of sub-optimal laboratory monitoring using a composite measure of published medication monitoring indicators, with a focus on commonly prescribed higher-risk medicines such as diuretics and anticoagulants. …”
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APPLICATION OF MULTIVARIATE ANOVA AND GENERALIZED DESIRABILITY TO OPTIMIZE THE COMPOSITION AND TECHNOLOGY OF TABLETS CONTAINING N-BENZYL-N-METHYL-1-PHENYLPYRROLO [1,2-A] PYRAZINE-3... by S. V. Tishkov, E. V. Blynskaya, K. V. Alekseev, V. K. Alekseev, D. I. Gavrilov

“…The use of this method made it possible to reduce the conflicting variance analysis results to the most optimal composition.…”
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Low-velocity impact damage characteristics and structural optimization of metal and CFRP through-thickness reinforcement connection structures by ZHAO Kunpeng, ZHENG Huilong, KANG Zhenya, ZHANG Saile, DONG Haibin

“…To improve the impact resistance of metal and composite material joint structures， a metal synapse structure was manufactured using metal laser selective melting technology. …”
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