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Articles by Changle Li
Synergistic MnHCF/Biomass‐Derived Carbon Asymmetric Electrodes for High‐Performance Capacitive Deionization
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that supports the findings of this study are available in the supplementary material of this article. Supporting Information Filename Description asia70617-sup-0001-SuppMat.docx26.5 MB The authors have cited additional references within the [57-59]. Supporting File: asia70617-sup-0001-SuppMat.docx.
Electric Fields Assisted ZIF-8 Adsorption Hydration Methane Storage and Release: A Molecular Insight
Post-TPS needle placement planning for robotic-assisted LDR seed brachytherapy
1State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, Heilongjiang, China 2Harbin Institute of Technology Hospital, Harbin Institute of Technology, Harbin, Heilongjiang, China Introduction: Low-dose-rate (LDR) seed brachytherapy treatment planning systems (TPSs) can generate dose-optimized seed distributions; however, translating these plans into robot-executable needle insertions introduces additional geometric, anatomical, and robotic constraints that may...
A Human-Robot Skill Transfer Strategy with Task-Constrained Optimization and Real-Time Whole-Body Adaptation
1. Introduction Recent advances in flexible manufacturing have heightened demands to release traditional industrial robots from repetitive tasks under controlled conditions. Robots are expected to complete tasks with humans in a shared workspace named human–robot coexistence [1]. Human–robot skill transfer plays a key role for the robot to learn new skills from humans and adapt to new, constantly changing task scenarios.
Bipedal Stepping Controller Design Considering Model Uncertainty: A Data-Driven Perspective
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Clearly Fluorescent Delineating ER+ Breast Tumor Incisal Edge and Identifying Tiny Metastatic Tumor Foci at High Resolution
Clearly Fluorescent Delineating ER+ Breast Tumor Incisal Edge and Identifying Tiny Metastatic Tumor Foci at High Resolution Fluorescence-image guided surgery (FGS) can intraoperatively provide real-time visualization of tumor incisal edge and high-resolution identification of tumor foci to improve treatment outcomes.
Mining, Identification, and Characterization of Three Xylanases from the Microbiota of T. fuciformis with Its Companion Strains
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Erratum: Critical assessment of Co-Cu phase diagram from first-principles calculations [Phys. Rev. B 102, 184428 (2020)]
Received 14 November 2023 DOI:https://doi.org/10.1103/PhysRevB.108.219901 Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Published by the American Physical Society Condensed Matter, Materials & Applied Physics
Factors associated with academic performance & COVID-19
Introduction The World Health Organization (WHO), on 11 March 2020, declared the Coronavirus Disease 2019 (COVID-19) outbreak as a global pandemic.1 The COVID-19 pandemic has changed the world, and everything has been impacted. Educational activities have been significantly altered in the way of knowledge transmission and the learning environment.
Predictors of medical care delay, avoidance during COVID-19
Lili Kang,1 Changle Li,1 Huifeng Du2 1School of Health Management, Fujian Medical University, Fuzhou, People’s Republic of China; 2School of Health Management, Inner Mongolia Medical University, Hohhot, People’s Republic of China Correspondence: Huifeng Du, School of Health Management, Inner Mongolia Medical University, Chilechuan Dairy Development Zone, Hohhot, 010110, People’s Republic of China, Email [email protected] Purpose: Medical care delay or avoidance increases morbidity and...
[2308.02603] Knowledge-Driven Multi-Agent Reinforcement Learning for Computation Offloading in Cybertwin-Enabled Internet of Vehicles
arXiv:2308.02603 (cs) Download a PDF of the paper titled Knowledge-Driven Multi-Agent Reinforcement Learning for Computation Offloading in Cybertwin-Enabled Internet of Vehicles, by Ruijin Sun and 4 other authors Download PDF Submission history From: Xiao Yang [ view email] [v1] Fri, 4 Aug 2023 09:11:37 UTC (1,770 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart...
IJERPH | Free Full-Text | Estimating Prevalence of Bereavement, Its Contribution to Risk for Binge Drinking, and Other High-Risk Health States in a State Population Survey, 2019 Georgia Behavioral Risk Factor Surveillance Survey
Abstract : Background: Binge drinking is a pattern of alcohol abuse. Its prevalence and associated risk factors are not well documented. Heavy drinking, on the other hand, has a well-documented association with bereavement. This report uses a cross-sectional, population-based survey to estimate prevalence of bingeing and its association with new bereavement. Bingeing is defined as 4 or more drinks (women) or 5 or more drinks (men) in a 2–4-h setting.
Double auction and profit maximization mechanism for jobs with heterogeneous durations in cloud federations
Abstract By sharing resources with each other, different cloud providers in a cloud federation can exploit their diversity in resource configuration and operational cost so as to improve service performance. They should consider the strategy of resource pricing, job scheduling and server provisioning altogether to maximize their own interests. On the other hand, they need to efficiently trade the resources with a suitable mechanism, typically auction, so as to guarantee the participants’ profits.
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