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| 1 | Challenges and innovations in treating chronic and acute wound infections:from basic science to clinical practice显示文摘Acute and chronic wound infection has become a major worldwide healthcare burden leading to significantly high morbidity and mortality.The underlying mechanism of infections has been widely investigated by scientist,while standard wound management is routinely been used in general practice.However,strategies for the diagnosis and treatment of wound infections remain a great challenge due to the occurrence of biofilm colonization,delayed healing and drug resistance.In the present review,we summarize the common microorganisms found in acute and chronic wound infections and discuss the challenges from the aspects of clinical diagnosis,non-surgical methods and surgical methods.Moreover,we highlight emerging innovations in the development of antimicrobial peptides,phages,controlled drug delivery,wound dressing materials and herbal medicine,and find that sensitive diagnostics,combined treatment and skin microbiome regulation could be future directions in the treatment of wound infection. | Xiaotong Ding Qinghan Tang Zeyu Xu Ye Xu Hao Zhang Dongfeng Zheng Shuqin Wang Qian Tan Joanneke Maitz Peter K.Maitz Shaoping Yin Yiwei Wang Jun Chen | 2022 | Burns & Trauma2022，10，1： | 3 |
| 2 | Classification by progressive generalization: a new automated methodology for remote sensing multichannel data显示文摘 | Cihlar J Xiao Qinghan Chen J | 1998 | International Journal for Remote Sensing1998，19，14： | 1 |
| 3 | Classification by Progressive Generalization:A New Automated Methodology for Remote Sensing Multichannel Data 显示文摘 | Cihlar J Xiao Qinghan Chen J | 1998 | Int J Remote Sensing1998，，14： | 1 |
| 4 | Classification by progressive generalization:a new automated methodology for remote sensing multichannel data显示文摘 | CIHLAR J XIAO Qinghan CHEN J | 1998 | Int J Remote Sens1998，19，14： | 1 |
| 5 | A Trusted Edge Resource Allocation Framework for Internet of Vehicles显示文摘With the continuous progress of information technique,assisted driving technology has become an effective technique to avoid traffic accidents.Due to the complex road conditions and the threat of vehicle information being attacked and tampered with,it is difficult to ensure information security.This paper uses blockchain to ensure the safety of driving information and introduces mobile edge computing technology to monitor vehicle information and road condition information in real time,calculate the appropriate speed,and plan a reasonable driving route for the driver.To solve these problems,this paper proposes a trusted edge resource allocation framework for assisted driving service,which includes two stages:the blockchain generation stage(the first stage)and assisted driving service stage(the second stage).Furthermore,in the first stage,a delay-and-throughput-oriented block generation model for the mobile terminal is designed.In the second stage,a balanced offloading algorithm for assisted driving service based on edge collaboration is proposed to solve the problems of unbalanced load of cluster mobile edge computing(MEC)servers and low resource utilization of the system.And this paper optimizes the throughput of blockchain and delay of the transportation network through deep reinforcement learning(DRL)algorithm.Finally,compared with joint computation and communication resources’allocation(JCCR)and resource allocation method based on binary offloading(RAB),our proposed scheme can optimize the delay by 7.4%and 26.7%,and support various application services of the vehicular networks more effectively. | Yuxuan Zhong Siya Xu Boxian Liao Jizhao Lu Huiping Meng Zhili Wang Xingyu Chen Qinghan Li | 2023 | Computers, Materials & Continua2023，77，11： | 0 |
| 6 | Exploring ratiometric endolysosomal pH nanosensors with hydrophobic indicators responding at the nanoscale interface and multiple fluorescence resonance energy transfers显示文摘Compared with conventional water-soluble fluorescence probes,pH-sensitive fluorescent nanosensors based on hydrophobic indicators remain largely unexplored.We report here the unique pH response of the nanosensors with a hydrophobic indicator(Ch3,a Nile Blue derivative)in polymeric nanoparticles(NPs).At the aqueous-organic interface of the NPs,spectral overlap and dye accumulation caused significant Förster resonance energy transfer(FRET)not only between the protonated and deprotonated Ch3(hetero-FRET),but also between the protonated and deprotonated Ch3 themselves(homo-FRET).The pH response was simulated according to an interfacial response mechanism and the dynamic range was found to depend on the size of the NPs and dye distribution(Kp).Therefore,adjusting the size of the NPs and the local dye concentration gave rise to a series of dynamic sensing ranges with apparent pKa values from 2.7 to 9.6 based on a single indicator.The nanosensors were successfully delivered to HeLa cells to monitor subcellular pH values in the endosomes and lysosomes.Based on cellular calibrations,the average pH in the organelles were determined to be ca.4.7.Moreover,the pH neutralization process during lysosome membrane permeabilization(LMP)induced by hydrogen peroxide stimulation was also successfully visualized with the nanosensors. | Qinghan Chen Jingying Zhai Jing Li Yifu Wang Xiaojiang Xie | 2022 | Nano Research2022，15，4： | 0 |
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