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Cellular senescence is a promising target for chronic wounds:a comprehensive review

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Burns & Trauma 2020年第1期8卷 277-284页

作者： ziwen wang Chunmeng Shi Institute of Rocket Force Medicine State Key Laboratory of TraumaBurns and Combined InjuryThird Military Medical University(Army Medical University)No.30 Gaotanyan StreetChongqing400038China

Chronic wounds include,but are not limited to,radiation ulcers,pressure ulcers,vascular ulcers and diabetic foot *** chronic wounds can persist for years without healing and severe ulcers may lead to ***,the underlying pathologies of refractory chronic wounds are not fully characterized,and new treatments are urgently ***,increasing evidence has indicated that cell senescence plays an important role in the development of chronic wounds,and preventing cell senescence or removing senescent cells holds promise as a new therapeutic *** this review,we aim to probe these latest findings to promote the understanding of cellular senescence in the pathological process and potential management of chronic wounds.

关键词： Chronic wounds Cell senescence Therapeutic agent Skin Mucosa

Enhanced green fluorescence and afterglow in (Zn, Mg)_2GeO_4: Mn^(2+), Cd^(2+)

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Science China(Physics,Mechanics & Astronomy) 2017年第9期60卷 76-79页

作者： Yan Cong YangYang He DaPeng Dong LiMei wang Zhen Zhang ziwen wang Bin Dong School of Physics & Materials Engineering Dalian Nationalities University

Long-lasting phosphorescent （LLP） materials have attracted considerable attention since green and blue emitting persis- tent Eu2＋ doped alkaline earth phosphors were reported in the mid-1990s [1-3]. Over the past few decades, a consid- erable effort has been made to design novel LLP materials for a wide range of applications such as emergency lighting, interior decoration, road signs, and in vivo bioimaging [4-6]. For these applications, long persistence times are often desir- able. Two types of active center involved are： emitters and traps in LLP phosphors. Emitters are capable of emitting ra- diation after being excited, and their color is determined by the emission wavelength of the LLP phosphor. Traps states usually do not emit radiation, but store the excitation energy later releasing it to the emitters under thermal disturbance. Thus, traps play an important role in photo-energy storage of LLP phosphors. The trap type and trap distribution are gen- erally associated with lattice defects and/or co-dopants. The overall nature of the trap states determines the persistence in- tensity and time. Thus, design of LLP phosphors focuses on generating suitable trap levels and trap densities.

关键词：长余辉发光材料绿色荧光增强型陷阱分布 Zn 材料设计光致发光材料余辉时间

Bayesian estimation-based sentiment word embedding model for sentiment analysis

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CAAI Transactions on Intelligence Technology 2022年第2期7卷 144-155页

作者： Jingyao Tang Yun Xue ziwen wang Shaoyang Hu Tao Gong Yinong Chen Haoliang Zhao Luwei Xiao Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials School of Physics and Telecommunication EngineeringSouth China Normal UniversityGuangzhouChina College of Mathematics and Informatics&College of Software Engineering South China Agricultural UniversityGuangzhouChina School of Foreign Languages Zhejiang University of Finance&EconomicsHangzhouZhejiangChina Educational Testing Service PrincetonNew JerseyUSA School of Computing Informatics and Decision Systems EngineeringArizona State UniversityTempeUSA

Sentiment word embedding has been extensively studied and used in sentiment analysis ***,most existing models have failed to differentiate high-frequency and low-frequency ***,the sentiment information of low-frequency words is insufficiently captured,thus resulting in inaccurate sentiment word embedding and degradation of overall performance of sentiment analysis.A Bayesian estimation-based sentiment word embedding(BESWE)model,which aims to precisely extract the sentiment information of low-frequency words,has been *** the model,a Bayesian estimator is constructed based on the co-occurrence probabilities and sentiment proba-bilities of words,and a novel loss function is defined for sentiment word embedding *** experimental results based on the sentiment lexicons and Movie Review dataset show that BESWE outperforms many state-of-the-art methods,for example,C&W,CBOW,GloVe,SE-HyRank and DLJT1,in sentiment analysis tasks,which demonstrate that Bayesian estimation can effectively capture the sentiment information of low-frequency words and integrate the sentiment information into the word embedding through the loss *** addition,replacing the embedding of low-frequency words in the state-of-the-art methods with BESWE can significantly improve the performance of those methods in sentiment analysis tasks.

关键词： function embedding estimation

Strain effect on the orientation-dependent harmonic spectrum of monolayer aluminum nitride

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Science China(Physics,Mechanics & Astronomy) 2020年第5期63卷 98-104页

作者： ziwen wang ShiCheng Jiang GuangLu Yuan Tong Wu Cheng Li Chen Qian Cheng Jin Chao Yu WeiJie Hua RuiFeng Lu Department of Applied Physics Nanjing University of Science and TechnologgNanjing 210094.China State Key Laboratory of Molecular Reaction Dynamics Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China

In this study, we theoretically investigate the strain effect on the orientation-dependent high-order harmonic generation(HHG) of monolayer aluminum nitride(Al N) by solving the multiband semiconductor Bloch equations in strong laser fields. Our simulations denote that the efficiency of the orientation-dependent HHG is considerably enhanced when a 15% biaxial tensile strain is applied to Al N, which is attributed to the downshifting energy level of the conduction band. Furthermore, the odd-even feature in the orientation-dependent high harmonic spectra owing to the strain is considerably different when compared with that in the case without strain. The enhanced quantum interference between different energy bands in strained Al N around the Γ-M direction is responsible for the observed odd-even distributions of the orientation-dependent HHG. This study helps to better understand the HHG in solids by tuning their electronic structures.

关键词： ultrafast strong laser field high-order harmonic generation monolayer material strain modulation band structure transition dipole moment

Optimization of different intensities of exercise preconditioning in protecting exhausted exercise induced heart injury in rats

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Sports Medicine and Health Science 2021年第4期3卷 218-227页

作者： Zheng Ping Weijia Qiu Mei Yang Xiaoli Zhang Dongying wang Peng Xu ziwen wang Xuebin Cao Department of Cardiology and Nephrology Hospital of the 82nd Group Army of PLABaoding071000China

This study was to optimize the exercise preconditioning(EP)intensity in protecting from exhaustive exercise-induced cardiac injury(EECI).A total of 98 male Sprague-Dawley rats were divided into 7 groups(n=14):the control group(C),the exhaustive exercise group(EE)and the EP+EE groups,which include the V10(53.0%VO_(2max)),V15(58.4%VO_(2max)),V20(67.0%VO_(2max)),V26(74.0%VO_(2max))and V30(80.0%VO_(2max))*** the C group,the other groups were subjected to treadmill *** serum contents of N terminal pro B type natriuretic peptide(NT-proBNP)and cardiac troponin I(cTn-I)were detected by the enzyme-linked immunosorbent assay method,ECG was recorded,heart function was detected by pressure volume catheter and the activities of mitochondrial electron transfer pathway(ET pathway)complexesⅠ,ⅡandⅣwere measured by high-resolution respiration *** to the EE group,the EP groups have shown decrease of NT-proBNP and cTn-I,improvement of mitochondrial respiratory function and car-diac *** to other EP groups,the V26 group has shown significant decrease of myocardial enzymes and improvement of mitochondrial *** correlation analysis showed the EP effect was proportional to EP intensity in the range of 53.0%VO_(2max)-74.0%VO_(2max).High intensity and long duration of exhaustive exercise caused cardiac injury and EP could decrease serum level of NT-proBNP and cTn-I,improve electrical derangement and the left ventricular function,and raise the activities of ET pathway complexesⅠ,ⅡandⅣ.The protection of EP on EECI was improved as the EP intensity was increased from 53.0%VO_(2max)to 74.0%VO_(2max)and when EP intensity was 74.0%VO_(2max),the effect was the most obvious among all the setting EP groups.

关键词： Exercise preconditioning Exhaustive exercise-induced cardiac injury Mitochondrial respiratory function

Effect of potential HONO sources on peroxyacetyl nitrate(PAN)formation in eastern China in winter

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Journal of Environmental Sciences 2020年第8期32卷 81-87页

作者： Jingwei Zhang Yitian Guo Yu Qu Yong Chen Ruipeng Yu Chaoyang Xue Rui Yang Qiang Zhang Xingang Liu Yujing Mu Jing wang Can Ye Haihan Zhao Qiangqiang Sun ziwen wang Junling An State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry(LAPC) Institute of Atmospheric Physics(IAP)Chinese Academy of SciencesBeijing 100029China College of Earth Science University of Chinese Academy of SciencesBeijing 100049China College of Resources and Environmental Sciences China Agricultural UniversityBeijing 100193China Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China Guangzhou Meteorological Observatory Guangzhou 511430China Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijingChina Collaborative Innovation Center for Regional Environmental Quality BeijingChina State Key Laboratory of Water Environment Simulation School of EnvironmentBeijing Normal UniversityBeijing 100875China Center for Excellence in Urban Atmospheric Environment Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China College of Land Science and Technology China Agricultural UniversityBeijing 100193China Qinghai Climate Center Qinghai Meteorological BureauXiningQinghai 810001China

As an important secondary photochemical pollutant,peroxyacetyl nitrate(PAN)has been studied over decades,yet its simulations usually underestimate the corresponding observations,especially in polluted *** observations in north China found unusually high concentrations of PAN during wintertime heavy haze events,but the current model still cannot reproduce the observations,and researchers speculated that nitrous acid(HONO)played a key role in PAN *** the first time we systematically assessed the impact of potential HONO sources on PAN formation mechanisms in eastern China using the Weather Research and Forecasting/Chemistry(WRF-Chem)model in February of *** results showed that the potential HONO sources significantly improved the PAN simulations,remarkably accelerated the RO x(sum of hydroxyl,hydroperoxyl,and organic peroxy radicals)cycles,and resulted in 80%–150%enhancements of PAN near the ground in the coastal areas of eastern China and 10%–50%enhancements in the areas around 35–40°N within 3 km during a heavy haze *** direct precursors of PAN were aldehyde and methylglyoxal,and the primary precursors of PAN were alkenes with C>3,xylenes,propene and *** above results suggest that the potential HONO sources should be considered in regional and global chemical transport models when conducting PAN studies.

关键词： Nitrous acid(HONO) Peroxyacetyl nitrate(PAN) WRF-Chem model Winter haze RO x cycles

Tandem Metal Relay Catalysis:One-pot Three-component Click Reaction of Azide, Alkyne and Arylhalide to Trisubsituted Triazoles

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Tandem Metal Relay Catalysis:One-pot Three-component Click R...

Use of Fuzzy Neural Network in Industrial Sorting of Apples

中国化学会第九届全国有机化学学术会议

作者： ziwen wang Pengbin Guo Qingmin wang Tianjin Key Laboratory of Structure and Performance for Functional Molecules Key Laboratory of Inorganic-Organic Hybrid Functional Material Chemistry Ministry of EducationCollege of Chemistry Tianjin Normal University State Key Laboratory of Elemento-Organic Chemistry Research Institute of Elemento-Organic Chemistry Nankai University

Marine natural products are important lead compounds for the development of novel drugs,and the natural product based drugs can sometimes be specific to a target species and have unique mode of action with low toxicity in mammalian. One such promising alkaloid is polycarpine(1),isolated from the ascidian Polycarpa aurata collected at Flinders Reef(Coral Sea).Polycarpaurines A and C

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Instrumentation 2019年第4期6卷 37-46页

作者： ziwen wang Bing LI Clarence W.DE SILVA Department of Mechanical Engineering and Automation Harbin Institute of Technology at Shenzhen 518057 ShenzhenChina Department of Mechanical Engineering The University of British ColumbiaTorontoCanada

In this paper,an automated system and methodology for nondestructive sorting of apples are *** from the traditional manual grading method,the automated,nondestructive sorting equipment can improve the production efficiency and the grading speed and *** popular apple quality detection and grading methods use two-dimensional(2D)machine vision detection based on a single charge-coupled device(CCD)camera detect the external *** system integrates a 3D structured laser into an existing 2D sorting system,which provides the addition third dimension to detect the defects in apples by using the curvature of the structured light strips that are acquired from the optical system of the *** curvature of the structured light strip will show the defects in the apple *** features such as color,texture,shape,size and 3D information all play key roles in determining the grade of an apple,which can be determined using a series of feature extraction *** feature extraction,a method based on principal component analysis(PCA)for data dimensionality reduction is applied to the ***,a comprehensive classification method based on fuzzy neural network(FNN),which is a combination of knowledge-based and model-based method,is used in this paper as the *** experiments are conducted to verity the feasibility and accuracy of the proposed sorting system.

关键词： Machine Vision Laser Sorting Fuzzy Neural Network Apples

Application of Feature Extraction through Convolution Neural Networks and SVM Classifier for Robust Grading of Apples

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Instrumentation 2019年第4期6卷 59-71页

作者： Yuan CAI Clarence W.DE SILVA Bing LI Liqun wang ziwen wang Harbin Institute of Technology at Shenzhen Shenzhen 518000 The University of British Columbia Vancouver BCCanada V6T 1Z4

This paper proposes a novel grading method of apples,in an automated grading device that uses convolutional neural networks to extract the size,color,texture,and roundness of an *** developed machine learning method uses the ability of learning representative features by means of a convolutional neural network(CNN),to determine suitable features of apples for the grading *** information is fed into a one-to-one classifier that uses a support vector machine(SVM),instead of the softmax output layer of the *** this manner,Yantai apples with similar shapes and low discrimination are graded using four different *** fusion model using both CNN and SVM classifiers is much more accurate than the simple k-nearest neighbor(KNN),SVM,and CNN model when used separately for grading,and the learning ability and the generalization ability of the model is correspondingly increased by the combined *** tests are carried out using the automated grading device that is developed in the present *** is verified that the actual effect of apple grading using the combined CNN-SVM model is fast and accurate,which greatly reduces the manpower and labor costs of manual grading,and has important commercial prospects.

关键词： Apple Grading k-nearest Neighbour Method Convolutional Neural Network Support Vector Machine Machine Learning