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Assessment of disability weights at the provincial and city levels based on 93,254 respondents in Fujian,China:Findings from the Fujian disability weight measurement study

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Chinese Medical Journal 2024年第11期137卷 1375-1377页

作者： Shaofen Huang Xiuquan Lin Peng yin yanrong yin Maigeng Zhou Jinlei Qi Chuanhua Yu Tiehui Chen Wenling Zhong Institute for Endemic and Chronic and Non-communicable Diseases Fujian Provincial Center for Disease Control and PreventionFuzhouFujian 350012China Department of Epidemiology and Health Statistics The School of Public HealthFujian Medical UniversityFuzhouFujian 350122China National Center for Chronic and Non-Communicable Disease Control and Prevention Chinese Center for Disease Control and PreventionBeijing 100050China Department of Epidemiology and Biostatistics School of Public HealthWuhan UniversityWuhanHubei 430071China

To the Editor:Disability weights(DWs)are essential factors to quantify health losses relating to non-fatal outcomes for estimates of disability-adjusted life years(DALYs).Although national and subnational sets of DWs were published recently in the Chinese mainland,[1]data from only 4925 participants who responded to population health equivalence(PHE)questions used to anchor the 0-1 DWs scale did not include participants from Fujian ***,it remains unknown whether people living in different cities share the same *** study provided an alternative approach using non-parametric regression to locate the DWs scale,as used in European surveys,[2]aimed at measuring DWs at the provincial and subprovincial levels in Fujian.

关键词： weights mainland Fujian

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福建省道路交通伤害死亡趋势模型构建

中华疾病控制杂志 2024年第4期28卷 438-442页

作者：王登炜黄少芬尹艳榕陈铁晖钟文玲福建省疾病预防控制中心慢性病防治科福州350012

目的分析2014—2021年福建省道路交通伤害死亡情况,探索适用的趋势预测模型。方法采用季节差分自回归移动平均(seasonal autoregressive integrated moving average,SARIMA)、支持向量回归(support vector regression,SVR)、长短期记忆(long short-term memory,LSTM)网络拟合2014年1月—2021年6月福建省道路交通伤害死亡率数据,对2021年7—12月死亡率进行预测,并与实际值验证比较,评价模型的预测效果。结果2014—2021年福建省道路交通伤害年报告率呈下降趋势(AAPC=-6.29%,P<0.001)。模型比较LSTM网络预测准确度最好,均方根误差(root mean square error,RMSE)、平均绝对误差(mean absolute error,MAE)和平均绝对百分比误差(mean absolute percentage error,MAPE)分别为0.0705、0.0612、8.72%。结论福建省道路交通伤害死亡总体呈下降趋势,LSTM网络可用于道路交通伤害死亡率的短期预测。

关键词：道路交通伤害死亡率趋势季节差分自回归移动平均支持向量回归长短期记忆网络

福建省40岁及以上男性每日吸烟者重度烟草依赖情况及其影响因素分析

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中国慢性病预防与控制 2024年第6期32卷 445-449页

作者：尹艳榕陈婧瑜章叶发陈铁晖林修全杨泽钟文玲福建省疾病预防控制中心地方病及慢性非传染性疾病防治所福建省福州350001

目的了解福建省40岁及以上男性每日吸烟者的烟草依赖水平及影响因素,为行政部门制定控烟策略提供科学依据。方法数据来源于2019-2020年福建省居民慢性阻塞性肺疾病监测,采用多阶段分层整群随机抽样方法抽取9个监测点≥40岁常住居民5486... 详细信息

目的了解福建省40岁及以上男性每日吸烟者的烟草依赖水平及影响因素,为行政部门制定控烟策略提供科学依据。方法数据来源于2019-2020年福建省居民慢性阻塞性肺疾病监测,采用多阶段分层整群随机抽样方法抽取9个监测点≥40岁常住居民5486人,采用问卷调查了解吸烟和烟草依赖状况。将其中现在每日吸烟的男性1429名纳入分析。采用SAS 9.3软件进行统计分析,用基于复杂抽样设计的Rao-Scott χ^(2)检验进行组间差异比较,用基于复杂抽样设计的logistic回归检验等级变量的变化趋势,并运用多因素survey logistic回归分析重度烟草依赖的影响因素。结果男性每日吸烟者的重度烟草依赖率为36.74%(95%CI:31.10%~42.38%)。多因素logistic回归分析结果显示,低年龄(与80~岁组相比,40~<60和60~<80岁组的OR值分别为2.58、3.11)、吸烟年数≥10年(OR=2.12)、有慢性呼吸道症状(OR=1.67)与40岁及以上男性每日吸烟人群重度烟草依赖高风险相关,均有统计学意义(P<0.01);18岁以后开始吸烟者(OR=0.56)、职业为行政干部、办事或专业技术人员(与农林牧渔水利人员相比,OR=0.40)、高中及以上文化程度(与小学及以下文化程度组相比,OR=0.53)与40岁及以上男性每日吸烟人群重度烟草依赖低风险相关,均有统计学意义(P<0.01)。结论福建省≥40岁男性每日吸烟人群烟草依赖水平较高,应针对低文化程度、青少年、农林牧渔水利人员和存在慢性呼吸系统症状者开展烟草暴露防控。

关键词：烟草依赖每日吸烟影响因素

Thermal oxidation description methodology of thermal barrier coatings on gas turbine blades considering service characteristics

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Chinese Journal of Aeronautics 2024年第6期37卷 410-424页

作者： Qiannan TAO yanrong WANG Dasheng WEI Shun YANG School of Energy and Power Engineering Beihang UniversityBeijing 100191China Jiangxi Research Institute of Beihang University Nanchang 330096China

Predicting the thickness of Thermally Grown Oxide(TGO)and the residual stresses induced by TGO growth in the Thermal Barrier Coatings(TBCs)is significant work in analyzing the failure of *** practical applications,the operating temperature,oxygen partial pressure,aluminium content in TBCs,and porosity of the topcoat affect the oxidation ***,a novel oxidation rate model is proposed to describe the effect of such *** parameters in the proposed model were fitted with isothermal degradation test data from prior ***,a method for calculating the residual stress in a disk-shaped specimen was developed based on the oxidized growth strain model and the oxidized ***,a variable-temperature oxidation experiment was performed to validate the new oxidation *** average error between the predicted and experimental thicknesses is approximately 10%,and the average error between the residual stresses is 30%.Under the variable-temperature condition,the error between the predicted thickness and the average experimental thickness is 3.9%.

关键词： Thermal barrier coatings Oxidation Gas turbine Residual stresses Sintering

PINK1 is involved in determining the cellular autophagic hierarchy

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Science China(Life Sciences) 2024年第5期67卷 1087-1088页

作者： Zhuchen Zhou Zhong Chen yanrong Zheng Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province School of Pharmaceutical SciencesZhejiang Chinese Medical UniversityHangzhou 311402China

The protein PINK1 plays a crucial role in the regulation of the cellular autophagic ***,a highly conserved biological process,serves as a mechanism for the degradation of intracellular components by *** play a pivotal role in this process by selectively sequestering specific targets,including damaged organelles,protein aggregates,and pathogens.

关键词： PINK1 determining hierarchy

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Dopaminergic Remodeling During a Critical Developmental Window:Linking Drug Use to Adult Aggression

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Neuroscience Bulletin 2024年第6期40卷 845-848页

作者： Dadao An Lingyan Zheng Zhengyi Xu yanrong Zheng Zhong Chen Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province Zhejiang Chinese Medical UniversityHangzhou310053China

Behaviors can be shaped and modulated by the dopamine system,which can be remodeled in adolescents due to environmental factors,including pharmacologic exposure,stress,and rewarding experiences,leading to various adolescentonset neuropsychiatric disorders[1-3].A deficiency of dopamine transporter(DAT),responsible for reuptaking extracellular DA.

关键词： Window shaped Dopamine

Quantification of Central and Eastern China's atmospheric CH_(4) enhancement changes and its contributions based on machine learning approach

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Journal of Environmental Sciences 2024年第4期138卷 236-248页

作者： Xinyue Ai Cheng Hu yanrong Yang Leying Zhang Huili Liu Junqing Zhang Xin Chen Guoqiang Bai Wei Xiao College of Biology and the Environment Joint Center for sustainable Forestry in Southern ChinaNanjing Forestry UniversityNanjing 210037China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD) Nanjing University of Information Science&TechnologyNanjing 210044China Guang’an Vocational&Technical College Guangan 638550China HuaNan Meteorological Administration Huanan 154400China

Methane is the second largest anthropogenic greenhouse gas,and changes in atmospheric methane concentrations can reflect the dynamic balance between its emissions and ***,the monitoring of CH_(4) concentration changes and the assessment of underlying driving factors can provide scientific basis for the government’s policy making and *** is the world’s largest emitter of anthropogenic ***,due to the lack of ground-based observation sites,little work has been done on the spatial-temporal variations for the past decades and influencing factors in China,especially for areas with high anthropogenic emissions as Central and Eastern *** to quantify atmospheric CH_(4) enhancements trends and its driving factors in Central and Eastern China,we combined the most up-to-date TROPOMI satellite-based column CH_(4)(xCH_(4))concentration from 2018 to 2022,anthropogenic and natural emissions,and a random forest-based machine learning approach,to simulate atmospheric xCH_(4) enhancements from 2001 to *** results showed that(1)the random forest model was able to accurately establish the relationship between emission sources and xCH_(4) enhancement with a correlation coefficient(R^(2))of 0.89 and a root mean-square error(RMSE)of 11.98 ppb;(2)The xCH_(4) enhancement only increased from 48.21±2.02 ppb to 49.79±1.87 ppb from the year of 2001 to 2018,with a relative change of 3.27%±0.13%;(3)The simulation results showed that the energy activities and waste treatment were the main contributors to the increase in xCH_(4) enhancement,contributing 68.00% and 31.21%,respectively,and the decrease of animal ruminants contributed-6.70% of its enhancement trend.

关键词： TROPOMI Methane column concentrations Anthropogenic sources Random Forest model

Image Semantic Segmentation Approach for Studying Human Behavior on Image Data

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Wuhan University Journal of Natural Sciences 2024年第2期29卷 145-153页

作者： ZHENG Zhan CHEN Da HUANG yanrong School of Communication Wuhan Textile UniversityWuhan 430073HubeiChina Walnut Street(Shanghai)Information Technology Co. Ltd.Shanghai 200051China College of Economics&Management Zhejiang University of Water Resources and Electric PowerHangzhou 310018ZhejiangChina Research Center for Digital Economy and Sustainable Development of Water Resources Hangzhou 310018ZhejiangChina

Image semantic segmentation is an essential technique for studying human behavior through image *** paper proposes an image semantic segmentation method for human behavior ***,an end-to-end convolutional neural network architecture is proposed,which consists of a depth-separable jump-connected fully convolutional network and a conditional random field network;then jump-connected convolution is used to classify each pixel in the image,and an image semantic segmentation method based on convolu-tional neural network is proposed;and then a conditional random field network is used to improve the effect of image segmentation of hu-man behavior and a linear modeling and nonlinear modeling method based on the semantic segmentation of conditional random field im-age is ***,using the proposed image segmentation network,the input entrepreneurial image data is semantically segmented to obtain the contour features of the person;and the segmentation of the images in the medical *** experimental results show that the image semantic segmentation method is *** is a new way to use image data to study human behavior and can be extended to other research areas.

关键词： human behavior research image semantic segmentation hop-connected full convolution network conditional random field network deep learning

Tumor initiation and early tumorigenesis:molecular mechanisms and interventional targets

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Signal Transduction and Targeted Therapy 2024年第7期9卷 2900-2935页

作者： Shaosen Zhang Xinyi Xiao Yonglin Yi Xinyu Wang Lingxuan Zhu yanrong Shen Dongxin Lin Chen Wu Department of Etiology and Carcinogenesis National Cancer Center/National Clinical Research Center/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical College100021 BeijingChina Key Laboratory of Cancer Genomic Biology Chinese Academy of Medical Sciences and Peking Union Medical College100021 BeijingChina Changping Laboratory 100021 BeijingChina Collaborative Innovation Center for Cancer Personalized Medicine Nanjing Medical UniversityNanjing 211166China Sun Yat-sen University Cancer Center State Key Laboratory of Oncology in South ChinaGuangzhou 510060China CAMS Oxford Institute Chinese Academy of Medical Sciences100006 BeijingChina

Tumorigenesis is a multistep process,with oncogenic mutations in a normal cell conferring clonal advantage as the initial ***,despite pervasive somatic mutations and clonal expansion in normal tissues,their transformation into cancer remains a rare event,indicating the presence of additional driver events for progression to an irreversible,highly heterogeneous,and invasive ***,researchers are emphasizing the mechanisms of environmental tumor risk factors and epigenetic alterations that are profoundly influencing early clonal expansion and malignant evolution,independently of inducing ***,clonal evolution in tumorigenesis reflects a multifaceted interplay between cell-intrinsic identities and various cell-extrinsic factors that exert selective pressures to either restrain uncontrolled proliferation or allow specific clones to progress into ***,the mechanisms by which driver events induce both intrinsic cellular competency and remodel environmental stress to facilitate malignant transformation are not fully *** this review,we summarize the genetic,epigenetic,and external driver events,and their effects on the co-evolution of the transformed cells and their ecosystem during tumor initiation and early malignant evolution.A deeper understanding of the earliest molecular events holds promise for translational applications,predicting individuals at high-risk of tumor and developing strategies to intercept malignant transformation.

关键词： alterations mechanisms restrain