Comparative efficacy and safety of GLP-1 receptor agonists for weight reduction: A model-based meta-analysis of placebo-controlled trials by Haoyang Guo, Juan Yang, Jihan Huang, Ling Xu, Yinghua Lv, Yexuan Wang, Jiyuan Ren, Yulin Feng, Qingshan Zheng, Lujin Li

“…Time-course, dose-response, and covariate models were used to describe the efficacy characteristics and influencing factors of different GLP-1RAs. …”
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Dynamic and low-dimensional modeling of brain functional connectivity on Riemannian manifolds by Mingyu Wang, Yueming Wang, Yuxiao Yang

“…Second, the FC matrix time-series exhibits considerable stochasticity, whose probability distribution is difficult to model on the Riemannian manifold. Third, FC matrices are high-dimensional and dimensionality reduction methods for SPD matrix time-series are still lacking. …”
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Methods of Modification and Semantics of Foreign Anthroponyms in Russian Internet Discourse (Example of Nomination of Members of British Royal Family) by Y. A. Tregubova, E. V. Lavrishcheva

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Reviewing the complexity of endogenous technological learning for energy system modeling by Johannes Behrens, Elisabeth Zeyen, Maximilian Hoffmann, Detlef Stolten, Jann M. Weinand

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Advanced genetic algorithm (GA)-independent component analysis (ICA) ensemble model for predicting trapped humans through hybrid dimensionality reduction by Enoch Adama Jiya, Ilesanmi B. Oluwafemi

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Optimized SVR model for predicting dissolved oxygen levels using wavelet denoising and variable reduction: Taking the Minjiang River estuary as an example by Peng Zhang, Xinyang Liu, Huiru Zhang, Chengchun Shi, Gangfu Song, Lei Tang, Ruihua Li

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Simultaneous OPEX and carbon footprint reduction with hydrogen enhancement in autothermal reforming: a machine learning–based surrogate modeling and optimization framework by Sahar Shahriari, Davood Iranshahi

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Improvement in the prediction power of an astrocyte genome-scale metabolic model using multi-omic data by Andrea Angarita-Rodríguez, Andrea Angarita-Rodríguez, Andrea Angarita-Rodríguez, Nicolás Mendoza-Mejía, Nicolás Mendoza-Mejía, Janneth González, Jason Papin, Jason Papin, Jason Papin, Andrés Felipe Aristizábal, Andrés Pinzón

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A Chronic Kidney Disease Diagnostic Model Based on an Interpretable Deep Belief Rule Base by Yawen Zhao, Kexin Zhang, Xiping Duan, Shuping Che, Ning Ma

“…Case studies and comparisons with seven other methods show that the CKD diagnostic model based on DBRB-I outperforms the others in a practical diagnostic setting.…”
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Particle damping-based design for vibration and noise reduction of interior wooden flooring in high-speed railway trains by TANG Yanning, DAI Yu, XIAO Wangqiang, SHAO Kun

“…The application of particle damping technology to address vibration and noise reduction in interior wooden flooring of high-speed trains provides a novel idea for vibration and noise reduction in structures similar to the interior flooring of high-speed trains, which has both important engineering significance and application value.…”
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Batch distillation performance improvement through vessel holdup redistribution—Insights from two case studies by Surendra Beniwal, Sujit S. Jogwar

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Modelling transport decarbonisation pathways in Vietnam: Synergies and trade-offs in supporting the energy transition by Nuzulia Fajriningrum, Leonhard Hofbauer, Naomi Tan, Steve Pye

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Does a Specific Sequential Combination of Antiseptic Solutions for Chemical Debridement in Periprosthetic Joint Infection Improve Outcomes vs. Solution Alone? An In Vivo Study by Miguel Márquez-Gómez, Marta Díaz-Navarro, Andrés Visedo, Lourdes Prats-Peinado, Patricia Muñoz, Javier Vaquero, María Guembe, Pablo Sanz-Ruíz

“…These results highlight SCD’s potential to serve as a standardized chemical debridement protocol, combining enhanced efficacy with clinical applicability. <b>Methods</b>: We tested SCD with 3% AA for 3 min, 10% PI for 3 min, and H₂O₂ for 3 min in a 7-day <i>Staphylococcus aureus</i> (ATCC29213)-based murine femur PJI model and compared the results with single treatments of 10% PI for 3 min or Bactisure™ solution for 3 min. …”
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Massive Scenario Reduction Based Distribution-Level Power System Planning Considering the Coordination of Source, Network, Load and Storage by Jinsen LIU, Ning LUO, Jie WANG, Chang XU, Yi Cao, Zhiwen Liu

“…Firstly, the dimensionality reduction clustering is carried out on the wind-light-load mass high-dimensional scenarios by the principal component Gaussian mixture clustering algorithm, and the typical scenario set of wind and power loads is obtained; then, a source-network-load-storage coordination planning model of distribution network for massive scenarios is constructed, and the second-order cone relaxation technique is adopted to convert the non-convex constraints to convex ones; finally, the effectiveness of the proposed massive scenario dimension reduction clustering method and distribution network planning model is verified on the Portugal 54-node distribution network.…”
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Title not available by Iollo, Angelo, Taddei, Tommaso

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Pattered manipulation method for heavy-haul trains considering air brake performance diversity by XIAO Zhiming, WANG Dalong, WANG Qingyuan, LIU Qiangqiang, WEI Mi

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Analysis of the Current Research Status of Life Cycle Assessment Method Applications in the Leather Industry by Minmin LIU, Qianchuan ZHOU, Chunhua WANG, Yuanhang XIAO, Wei LIN

“…Life Cycle Assessment (LCA), as a systematic and comprehensive evaluation method, can be used to quantify the resource and environmental impacts of leather manufacturing process. …”
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Larval source management in Ethiopia: modelling to assess its effectiveness in curbing malaria surge in dire Dawa and Batu Towns by Galana Mamo Ayana, Abdollah Jalilian, Temesgen Ashine, Eshetu Molla, Elifaged Hailemeskel, Dagmawi Hailu Yemane, Hailegiorgis Yirgu, Nigatu Negash, Natnael Teferi, Daniel Teshome, Alison M. Reynolds, David Weetman, Anne L. Wilson, Birhanu Kenate, Martin J. Donnelly, Luigi Sedda, Endalamaw Gadisa

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Probabilistic slope stability analysis: a case study of Ain Bouzian landslide within North-East Algeria by Samir Ghedjati, Mohammed Lamara, Youcef Houmadi

“…Stochastic soil properties values are used to evaluate the reliability and to assess sensitivity of the system, for two hydrological conditions, with and without water table within the soil mass. The deterministic model is based on Strength Reduction Method (SRM) analysis using the finite difference code FLAC3D. …”
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Research on abnormal power consumption detection method of power big data based on LightGBM model and LSTM model by YANG Zhidong, DING Jianwu, CHEN Guangjiu, KANG Xiaojing, SHENG Meng

“…Aiming at the problems of low accuracy and slow operation efficiency of traditional abnormal power consumption detection methods, a lightGBM model combined with an improved long short-term memory network model is proposed for abnormal power consumption detection. …”
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