Understanding early HIV-1 rebound dynamics following antiretroviral therapy interruption: The importance of effector cell expansion. by Tin Phan, Jessica M Conway, Nicole Pagane, Jasmine Kreig, Narmada Sambaturu, Sarafa Iyaniwura, Jonathan Z Li, Ruy M Ribeiro, Ruian Ke, Alan S Perelson

“…Our results show that post-treatment controllers and non-controllers can be distinguished based on the effector cell expansion rate in our models. …”
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Analysis and Experimental Research of Gear Whine of 2nd Gear of Transmission based on Gear Modification by Zhou Xinjian, Li Guangxing, Mao Le

“…Finally,the NVH experiment of the vehicle is carried out to verify the simulation results of plan A and optimal B. The verification results show that optimal B performs better than plan A by reducing the Sound pressure level（ SPL） obviously and controlling the main order noise 40 d B below under drive conditions through gear modification. …”
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Application of Energy Storage Systems to Enhance Power System Resilience: A Critical Review by Muhammad Usman Aslam, Md Sazal Miah, B. M. Ruhul Amin, Rakibuzzaman Shah, Nima Amjady

“…This critical review, therefore, discusses various aspects of energy storage systems, such as type, capacity, and efficacy, as well as modeling and control in the context of power system resilience enhancement. …”
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Identification of Potential Sepsis Therapeutic Drugs Using a Zebrafish Rapid Screening Approach by Mark Widder, Chance Carbaugh, William van der Schalie, Ronald Miller, Linda Brennan, Ashley Moore, Robert Campbell, Kevin Akers, Roseanne Ressner, Monica Martin, Michael Madejczyk, Blair Dancy, Patricia Lee, Charlotte Lanteri

“…To identify potential sepsis drug candidates, we used an optimized larval zebrafish model of endotoxicity/sepsis to screen commercial libraries of drugs approved by the U.S. …”
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A clinically feasible algorithm for the parallel detection of glioma‐associated copy number variation markers based on shallow whole genome sequencing by Shuai Wu, Chenyu Ma, Jiawei Cai, Chenkang Yang, Xiaojia Liu, Chen Luo, Jingyi Yang, Zhang Xiong, Dandan Cao, Hong Chen

“…To enhance its clinical utility, we carried out hypothesis testing model‐based analysis through the estimation of copy ratio fluctuation level, which was implemented individually and independently and, thus, avoided the necessity for normal controls. …”
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Mechanisms and pore properties of eco-friendly alkali-activated foam materials prepared with ilmenite tailings and metakaolin by Weiming Sun, Bin Ma, Yue Tang, Xuefeng Li, Xiaoli Li, Yusheng Zeng, Zuyin Zou

“…This model captured the observed dependence of thermal conductivity on porosity and connectivity. …”
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Comparative assessment of efficacy and safety of different treatment for de novo overactive bladder children: A systematic review and network meta-analysis by Shi Qiu, Siwei Bi, Tianhai Lin, Zhuheng Wu, Qi'an Jiang, Jiwen Geng, Liangren Liu, Yige Bao, Xiang Tu, Mingjing He, Lu Yang, Qiang Wei

“…Data from eligible randomized controlled trails (RCT) studies including three different treatment options were extracted. …”
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The Analysis of Plasma Proteomics for Luminal A Breast Cancer by Meimei Zhao, YongWei Jiang, Xiaomu Kong, Yi Liu, Peng Gao, Mo Li, Haoyan Zhu, Guoxiong Deng, Ziyi Feng, Yongtong Cao, Liang Ma

“…We found that there were significant differences in plasma protein expression profiles between breast cancer patients and non‐breast cancer patients, and breast cancer was mainly related to lipid metabolism pathways. Finally, the optimal protein combinations for the diagnosis of breast cancer were PON3, IGLV3‐10, and IGHV3‐73 through multi‐model analysis, which had a high prediction accuracy for breast cancer (AUC = 0.92), and the model could also distinguish breast cancer from HC (AUC = 0.92) and breast cancer from benign breast tumor (AUC = 0.91). …”
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Trends in Antihypertensive Drug Use and Irrational Prescriptions Among Elderly Patients in China (2016–2023): A Nationwide Multi-Center Cross-Sectional Survey Study by Hong D, Chen W, Du S, Ren J, Lv D, Shan W, Lu X, Zhao Q

“…Irrational prescriptions were defined as contraindicated medication prescriptions and inappropriate combination medication. Poisson regression models were employed to analyze trends and influencing factors for irrational prescriptions.Results: The number of patients increased from 396,408 to 542,215 during the study period. …”
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Efficacy and safety of oxaliplatin-based chemotherapy as first-line treatment in elderly patients with metastatic colorectal cancer: a meta-analysis by Shaoqing Fan, Zeming Zhao, Haiqian Wang, Handong Wang, Wenbo Niu

“…Data were pooled using random- or fixed-effects models in STATA 14.0 based on heterogeneity (I² statistic). …”
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Continuity of care in lumbar disc herniation: a systematic review and meta-analysis providing a deeper look into postoperative efficacy by Ying Lin, Ying Lin, Qiaoling Chen, Qiaoling Chen, RouMei Wang, Bing Zhang, Bing Zhang, Rui Huang, Yiguang Bai, Yiguang Bai

“…A meta-analysis was performed using both fixed-effects and random-effects models based on heterogeneity assessment. We analyzed the data using R software version 4.2.2 and Stata software version 15.1. …”
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Building and validation of wireframe for software prototype aimed at occupational vaccines by Joice Rodrigues Machado Hahn, Melanie Schröder, Silvana Aline Cordeiro Antoniolli, Elizete Maria de Souza Bueno, Luccas Melo de Souza, Adriana Aparecida Paz

“…The software is able to optimize nurses’ time in the management and control of vaccines in occupational health services, which contributes to increasing workers’ vaccination coverage and protecting the community. …”
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Quantitative Analysis of Predictors of Acoustic Materials for Noise Reduction as Sustainable Strategies for Materials in the Automotive Industry by Bianca-Mihaela Cășeriu, Manuela-Rozalia Gabor, Petruța Blaga, Cristina Veres

“…Additionally, the research contributes to the development of predictive models that estimate acoustic performance based on the physical properties of materials, providing a basis for optimizing material selection in the design phase.…”
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Target weight at discharge for children receiving their first inpatient treatment for an eating disorder by Kazumi Kurata, Yuta Inagawa, Tatsuhiko Yagihashi, Takahiro Nakamura, Seiji Obi, Shiro Suda

“…Level of evidence III, case–control analytic studies.…”
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A roadmap of priority evidence gaps for the co-implementation of malaria vaccines and perennial malaria chemoprevention by Jane Grant, Perennial Malaria Chemoprevention (PMC) community of practice sub-group on the co-implementation of malaria vaccines and PMC

“…The roadmap outlines four key areas of work to address urgent evidence gaps for co-implementation: (1) support to the global and national policy process, (2) implementation support and research, (3) clinical studies, and (4) modelling. Together, these areas will provide practical guidance on the co-implementation of the interventions, and robust evidence to inform decision-making on how best to design, optimize and scale-up co-implementation in different contexts, including if and in what contexts the co-implementation is cost-effective, and the optimal schedule for co-implementation. …”
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Adjuvant Chemotherapy in Patients with Low-Risk Epithelial Ovarian Cancer: A Taiwanese Cohort Study by Yuan-Ting C. Lo, Hsiu-Ying Ku, Cheng-Shyong Chang, Hui-Ju Ch’ang, Chih-Ming Ho, Tsang-Wu Liu, Shih-Min Lin

“…We used multivariable Cox proportional-hazards models to control for clinical factors. The overall survival (OS) and disease-free survival (DFS) were estimated with the Kaplan–Meier method. …”
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CPFD Simulation of Operation Characteristics of a 10t/d Sludge and Biomass Co-incineration Fluidized Bed Reactor by REN Shaohui, YU Qiao, LIN Li, XIANG Jiatao, MA Lun, ZHANG Shihong

“…The study establishes four primary objectives: 1) Quantify hydrodynamic transitions (bubbling/turbulent regimes) under variable fluidizing air conditions; 2) Decipher fuel property impacts (sludge/biomass particle size, feedstock type) on nitrogen/sulfur pollutant transformation pathways (HCN→CNO→NO, H₂S→SO₂); 3) Evaluate bed material efficacy (dolomite, olivine, quartz sand) for in-situ emission control; and 4) Optimize reactor geometry (height-diameter ratios, feed configurations) to maximize combustion efficiency while minimizing environmental footprints. …”
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Energy Consumption of Machine Learning Enhanced Open RAN: A Comprehensive Review by Xuanyu Liang, Qiao Wang, Ahmed Al-Tahmeesschi, Swarna B. Chetty, David Grace, Hamed Ahmadi

“…Central to this innovation is the integration of Machine Learning (ML) and Artificial Intelligence (AI) within the RAN Intelligent Controller (RIC), aimed at optimizing network operations and enhancing control mechanisms. …”
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Methane emissions from riverine ecosystems in the Yangtze River basin are driven by ebullition rather than diffusion by Xiuyuan Chen, Fuhong Sun, Jiayue Li, Ziteng Wang, Yiding Guo, Nannan Huang, Qianyu Zhao, Fengchang Wu

“…Abstract Quantifying methane emissions from riverine ecosystems is crucial for optimizing greenhouse gas control strategies. However, partitioning methane emissions between diffusion and ebullition pathways remains insufficiently investigated. …”
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Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System by Pavol Partila, Miroslav Voznak, Jaromir Tovarek

“…The purpose was to find an optimal combination of methods and group of features for stress detection in human speech. …”
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