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Epidemiological characteristics of tuberculosis incidence and its macro-influence factors in Chinese mainland during 2014–2021

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贫困所致传染病(英文) 2024年第3期13卷 1-15页

作者： deng le-le Zhao Fei Li Zhuo-wei Zhang Wei-wei He Guang-xue Ren Xiang National Institute for Viral Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing China Department of Pharmacy Beijing Hospital National Center of Gerontology Institute of Geriatric Medicine Chinese Academy of Medical Science Beijing Key Laboratory of Drug Clinical Risk and Personalized Medication Evaluation Beijing China Miyun District Center for Disease Control and Prevention Beijing China School Of Public Health Binzhon Medical University Yantai China Division of Infectious Disease Key Laboratory of Surveillance and Early-Warning On Infectious Disease Chinese Center for Disease Control and Prevention Beijing China

Background Tuberculosis (TB) remains a pressing public health issue, posing a significant threat to individuals'' well-being and lives. This study delves into the TB incidence in Chinese mainland during 2014–2021, aiming to gain deeper insights into their epidemiological characteristics and explore macro-level factors to enhance control and *** TB incidence data in Chinese mainland from 2014 to 2021 were sourced from the National Notifiable Disease Reporting System (NNDRS). A two-stage distributed lag nonlinear model (DLNM) was constructed to evaluate the lag and non-linearity of daily average temperature (℃, Atemp), average relative humidity (%, ARH), average wind speed (m/s, AWS), sunshine duration (h, SD) and precipitation (mm, PRE) on the TB incidence. A spatial panel data model was used to assess the impact of demographic, medical and health resource, and economic factors on TB *** A total of 6,587,439 TB cases were reported in Chinese mainland during 2014–2021, with an average annual incidence rate of 59.17/100,000. The TB incidence decreased from 67.05/100,000 in 2014 to 46.40/100,000 in 2021, notably declining from 2018 to 2021 (APC =-8.87%, 95%CI: -11.97, -6.85%). TB incidence rates were higher among males, farmers, and individuals aged 65 years and older. Spatiotemporal analysis revealed a significant cluster in Xinjiang, Qinghai, and Xizang from March 2017 to June 2019 (RR= 3.94,P 71.73%), low sunshine duration (le extreme low wind speed (< 2.79 m/s) decreased the risk. The spatial Durbin model showed positive associations between TB incidence rates and se

关键词： Tuberculosis Surveillance Epidemiological characteristics Incidence Influence factor Distributed lag nonlinear model (DLNM) Spatial panel model China

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Epidemiological characteristics of imported respiratory infectious diseases in China,2014-2018

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Infectious Diseases of Poverty 2022年第2期11卷 63-71页

作者： Jin-Long Wang Tao Chen le-le deng Ya-Jun Han Da-Yan Wang Li-Ping Wang Guang-Xue He National Institute for Viral Disease Control and Prevention Chinese Center for Disease Control and PreventionBeijingChina Division of Infectious Diseases Chinese Center for Disease Control and PreventionBeijingChina

Background:With the progress of globalization,international mobility increases,greatly facilitating cross-border transmission of respiratory infectious diseases(RIDs).This study aimed to analyze the epidemiological characteristics and factors influencing imported RIDs,with the goal of providing evidence to support adoption of high-tech,intel-ligent methods to early find imported RIDs and prevent their spread in ***:We obtained data of imported RIDs cases from 2014 to 2018 from the Inbound Sentinel Network of Customs and the National Notifiable Diseases Reporting System in *** analyzed spatial,temporal,and population distribution characteristics of the imported *** developed an index to describe *** correlation coefficients were used to examine associations between independent variables and imported *** analyses and visualizations were conducted with R ***:From a total of 1409265253 inbound travelers,31732(2.25/100000)imported RIDs cases were *** cases were imported from 142 countries and five *** incidence of imported RIDs was nearly 5 times higher in 2018(2.81/100000)than in 2014(0.58/100000).Among foreigners,incidence rates were higher among males(5.32/100000),0–14-year-olds(15.15/100000),and cases originating in Oceania(11.10/100000).The vast majority(90.3%)of imported RIDs were influenza,with seasonality consistent with annual seasonality of *** spatial distribution of imported RIDs was different between Chinese citizens and *** in inbound travel volume and the number of influenza cases in source countries were associated with the number of imported ***:Our study documented importation of RIDs into China from 142 *** travel poses a significant risks bringing important RIDs to *** is urgent to strengthen surveillance at customs of inbound travelers and establish an intelligent surveillance and early warning system to prevent impor

关键词： Imported respiratory infectious disease Influenza Epidemiological characteristics Associated factors China

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Rapid health estimation of in-service battery packs based on limited labels and domain adaptation

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Journal of Energy Chemistry 2024年第2期89卷 345-354,I0009页

作者： Zhongwei deng le Xu Hongao Liu Xiaosong Hu Bing Wang Jingjing Zhou School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu 611731SichuanChina School of Sustainability Stanford UniversityStanfordCA 94305USA College of Mechanical and Vehicle Engineering Chongqing UniversityChongqing 400044China China Automotive Engineering Research Institute Co.Ltd. Chongqing 401122China

For large-scale in-service electric vehicles(EVs)that undergo potential maintenance,second-hand transactions,and retirement,it is crucial to rapidly evaluate the health status of their battery ***,existing methods often rely on lengthy battery charging/discharging data or extensive training samples,which hinders their implementation in practical *** address this issue,a rapid health estimation method based on short-time charging data and limited labels for in-service battery packs is proposed in this ***,a digital twin of battery pack is established to emulate its dynamic behavior across various aging levels and inconsistency ***,increment capacity sequences(△Q)within a short voltage span are extracted from charging process to indicate battery ***,data-driven models based on deep convolutional neural network(DCNN)are constructed to estimate battery state of health(SOH),where the synthetic data is employed to pre-train the models,and transfer learning strategies by using fine-tuning and domain adaptation are utilized to enhance the model ***,field data of 10 EVs exhibiting different SOHs are used to verify the proposed *** using the△Q with 100 m V voltage change,the SOH of battery packs can be accurately estimated with an error around 3.2%.

关键词： Lithium-ion battery Electric vehicles Health estimation Feature extraction Convolutional neural network Domain adapatation

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An effective strategy to inhibit grain coarsening:Construction of multi-element co-segregated grain boundary complexion

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Journal of Advanced Ceramics 2024年第7期13卷 1060-1071页

作者： le Fu Gabriel Arcuri Wenjun Yu Bohan Wang Zihua lei Ying deng Kathryn Grandfield School of Material Science and Engineering Central South UniversityChangsha 410083China Canadian Centre for Electron Microscopy McMaster UniversityHamilton L8S 4L8Canada State Key Laboratory of New Ceramics and Fine Processing School of Materials Science and EngineeringTsinghua UniversityBeijing 100084China Department of Materials Science and Engineering McMaster UniversityHamilton L8S 4L8Canada

When exposed to moderate to high temperatures,nanomaterials typically suffer from severe grain coarsening,which has long been a major concern that prevents their wider ***,we proposed an effective strategy to inhibit grain coarsening by constructing grain boundary(GB)complexions with multiple codoped dopants,which hindered coarsening from both energetic and kinetic *** demonstrate the feasibility of this strategy,multiple selected dopants were doped into a ZrO_(2)-SiO_(2)nanocrystalline glass ceramic(NCGC)to form GB *** results showed that NCGC was predominantly composed of ZrO_(2)nanocrystallites(NCs)distributed in an amorphous SiO_(2)*** layers of GB complexions(~2.5 nm)were formed between adjacent ZrO_(2)NCs,and they were crystalline superstructures with co-segregated *** addition,a small amount of quartz solid solution was formed,and it adhered to the periphery of ZrO_(2)NCs and bridged the adjacent NCs,acting as a“bridging phase”.The GB complexions and the“bridging phase”synergistically enhanced the coarsening resistance of ZrO_(2)NCs up to 1000°*** findings are important for understanding GB complexions and are expected to provide new insights into the design of nanomaterials with excellent thermodynamic stability.

关键词： Zr_(2)-Si_(2) multi-element co-segregation grain boundary(GB)complexion grain coarsening atom probe tomography(APT)

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Boundless love:a German Professor Uli Schwarz in China

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Protein & Cell 2024年第8期15卷 553-558页

作者： le Kang State Key Laboratory of Integrated Management of Pest Insects and Rodents Institute of ZoologyChinese Academy of SciencesBeijing 100101China

More than 20 years ago,an old German man embarked on a quest to explore the suburbs of Shanghai and the villages of jiangsu Province in search of antique Chinese *** was not a mere antique collector or aficionado of ancient furmiture,but a German scientist motivated by his profound love of Chinese *** name was Uli Schwarz(Fig.1),a distinguished German scientist who had dedicated the majority of his life to promoting cross-cultural scientific exchanges,an effort that left an indelible mark on the landscape of research collaborations between China and Germany.

关键词： Schwarz German landscape

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Epidemiological characteristics of seven notifable respiratory infectious diseases in the mainland of China:an analysis of national surveillance data from 2017 to 2021

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Infectious Diseases of Poverty 2023年第6期12卷 96-97页

作者： le‑le deng Ya‑jun Han Zhuo‑wei Li Da‑yan Wang Tao Chen Xiang Ren Guang‑xue He 不详

Background Respiratory infectious diseases(RIDs)remain a pressing public health concern,posing a signifcant threat to the well-being and lives of *** study delves into the incidence of seven primary RIDs dur‑ing the period 2017-2021,aiming to gain deeper insights into their epidemiological characteristics for the purpose of enhancing control and prevention *** Data pertaining to seven notifable RIDs,namely,seasonal infuenza,pulmonary tuberculosis(PTB),mumps,scarlet fever,pertussis,rubella and measles,in the mainland of China between 2017 and 2021 were obtained from the National Notifable Disease Reporting System(NNDRS).Joinpoint regression software was utilized to analyze temporal trends,while SaTScan software with a Poisson probability model was used to assess seasonal and spatial *** A total of 11,963,886 cases of the seven RIDs were reported during 2017-2021,and yielding a fve-year aver‑age incidence rate of 170.73 per 100,000 *** these RIDs,seasonal infuenza exhibited the highest aver‑age incidence rate(94.14 per 100,000),followed by PTB(55.52 per 100,000),mumps(15.16 per 100,000),scarlet fever(4.02 per 100,000),pertussis(1.10 per 100,000),rubella(0.59 per 100,000),and measles(0.21 per 100,000).Males experi‑enced higher incidence rates across all seven *** incidence was notably elevated among farmers and individu‑als aged over 65,whereas the other RIDs primarily afected children and students under 15 years of *** inci‑dences of PTB and measles exhibited a declining trend from 2017 to 2021(APC=−7.53%,P=0.009;APC=−40.87%,P=0.02),while the other fve RIDs peaked in *** seasonal and spatial distribution,the seven RIDs displayed distinct characteristics,with variations observed for the same RIDs across diferent *** proportion of laboratory-confrmed cases fuctuated among the seven RIDs from 2017 to 2021,with measles and rubella exhibit‑ing higher proportions and mumps and scarlet fever

关键词： Respiratory infectious diseases Surveillance Epidemiological characteristics Incidence China

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Synthesis of hierarchically porous carbon materials by zinc salts-assisted carbonization of biomass and organic solid wastes

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Particuology 2024年第1期84卷 45-52页

作者： le-le Zhang lei Tong Yanwei Ding Wanqun Zhang Hai-Wei Liang Hefei National Research Center for Physical Sciences at the Microscale Department of ChemistryUniversity of Science and Technology of ChinaHefei230026China

Hierarchically porous carbons(HPCs)with multimodal pores have attracted considerable attention due to their unique physical and chemical properties and various application potentials in heterogeneous catalysis,environmental treatment,and energy storage and ***,we report a general and simple zinc salts-assisted method for the synthesis of HPCs with varied porosity and chemical func-tionalities by the direct carbonization of diverse biomass and *** the carbonization,zinc salts are thermally decomposed into nanoparticles that serve as in-situ templates to introduce nanopores in *** prepared HPCs exhibit high specific surface areas(up to 2432 m2 g-1),large pore volumes(up to 4.30 cm^(3)g^(-1)),and broad pore size ***,the zinc salts can be recovered and recycled,supporting the sustainable production of HPCs on large *** prepared HPCs-supported catalysts with atomically dispersed metal sites exhibit promising electrocatalytic performance for the oxygen reduction reaction.

关键词： Hierarchical porous carbon Zinc salts Biomass Wastes Electrocatalysis

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Contrasting physical mechanisms of yellowfin tuna fluctuations between the western and eastern Indian Ocean

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Journal of Oceanology and Limnology 2024年第3期42卷 960-971页

作者： Peng LIAN le GAO Key Laboratory of Ocean Observation and Forecasting and Key Laboratory of Ocean Circulation and Waves Institute of OceanologyChinese Academy of SciencesQingdao 266071China University of Chinese Academy of Sciences Beijing 100049China Laboratory for Ocean Dynamics and Climate Laoshan LaboratoryQingdao 266061China

As an economically critical pelagic migratory species,yellowfin tuna(Thunnus albacores,YFT)is very sensible to physical and environmental conditions,such as sea surface temperature(SST),ocean heat content(OHC),and the mixed layer depth(MLD).We investigated the impact of SST,OHC,and MLD on fluctuations of YFT catch in the western/eastern Indian Ocean using the long time series of 63-year environmental and YFT *** found that the impact of SST on YFT was heavily overestimated in the past,and MLD plays a more critical role in the YFT catch *** the MLD deepens(>34.8 m),SST was more influential in predicting the catches of YFT than OHC in the western Indian Ocean,and OHC was more critical to YFT than SST in the eastern Indian ***,when the MLD shallows(<34.8 m),MLD was more vital to predict the catch per unit effort(CPUE)of YFT than SST/OHC in the *** 2000,there was an asynchronous pattern of YFT CPUE induced by higher frequency variations and ocean hiatus of SST/OHC signals in the western and eastern Indian Oceans *** impact of the subsurface hiatus may induce the decrease of YFT in the eastern Indian *** above findings clarified a non-stationary relationship between the environmental factors and catches of YFT and provided new insights into variations in YFT abundance.

关键词： yellowfin tuna Indian Ocean sea surface temperature(SST) ocean heat content(OHC) mixed layer depth(MLD) hiatus

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Machine learning based models for predicting compressive strength of geopolymer concrete

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Frontiers of Structural and Civil Engineering 2024年第7期18卷 1028-1049页

作者： Quang-Huy le Duy-Hung NGUYEN Thanh SANG-TO Samir KHATIR Hoang le-MINH Amir H.GANDOMI Thanh CUONG-le Center for Engineering Application and Technology Solutions Ho Chi Minh City Open UniversityHo Chi Minh 700000Vietnam Institute of Civil Engineering Ho Chi Minh City University of TransportHo Chi Minh 700000Vietnam Faculty of Engineering&Information Technology University of Technology SydneyUltimoNSW 2007Australia

Recently,great attention has been paid to geopolymer concrete due to its advantageous mechanical and environmentally friendly *** effort has been made in experimental studies to advance the understanding of geopolymer concrete,in which compressive strength is one of the most important *** facilitate engineering work on the material,an efficient predicting model is *** this study,three machine learning(ML)-based models,namely deep neural network(DNN),K-nearest neighbors(KNN),and support vector machines(SVM),are developed for forecasting the compressive strength of the geopolymer concrete.A total of 375 experimental samples are collected from the literature to build a database for the development of the predicting models.A careful procedure for data preprocessing is implemented,by which outliers are examined and removed from the database and input variables are standardized before feeding to the fitting *** standard K-fold cross-validation approach is applied for evaluating the performance of the models so that overfitting status is well managed,thus the generalizability of the models is *** effectiveness of the models is assessed via statistical metrics including root mean squared error(RMSE),mean absolute error(MAE),correlation coefficient(R),and the recently proposed performance index(PI).The basic mean square error(MSE)is used as the loss function to be minimized during the model fitting *** three ML-based models are successfully developed for estimating the compressive strength,for which good correlations between the predicted and the true values are obtained for DNN,KNN,and *** numerical results suggest that the DNN model generally outperforms the other two models.

关键词： geopolymer concrete compressive strength prediction machine-learning based model deep neural network K-nearest neighbor support vector machines

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Impacts of central-Pacific El Niño and physical drivers on eastern Pacific bigeye tuna

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Journal of Oceanology and Limnology 2024年第3期42卷 972-987页

Bigeye tuna Thunnus obesus is an important migratory species that forages deeply,and El Niño events highly influence its distribution in the eastern Pacific *** sea surface temperature is widely recognized as the main factor affecting bigeye tuna(BET)distribution during El Niño events,the roles of different types of El Niño and subsurface oceanic signals,such as ocean heat content and mixed layer depth,remain *** conducted A spatial-temporal analysis to investigate the relationship among BET distribution,El Niño events,and the underlying oceanic signals to address this knowledge *** used monthly purse seine fisheries data of BET in the eastern tropical Pacific Ocean(ETPO)from 1994 to 2012 and extracted the central-Pacific El Niño(CPEN)indices based on Niño 3 and Niño ***,we employed Explainable Artificial Intelligence(XAI)models to identify the main patterns and feature importance of the six environmental variables and used information flow analysis to determine the causality between the selected factors and BET ***,we analyzed Argo datasets to calculate the vertical,horizontal,and zonal mean temperature differences during CPEN and normal years to clarify the oceanic thermodynamic structure differences between the two types of *** findings reveal that BET distribution during the CPEN years is mainly driven by advection feedback of subsurface warmer thermal signals and vertically warmer habitats in the CPEN domain area,especially in high-yield fishing *** high frequency of CPEN events will likely lead to the westward shift of fisheries centers.

关键词： bigeye tuna central-Pacific El Niño(CPEN) ocean heat content Argo explainable artificial intelligence(XAI) information flow

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