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Tunnel bottleneck management with high-occupancy vehicle priority on intelligent freeways

Transportation Safety and Environment 2024年第2期6卷 87-95页

作者： Jinyong Gao Juncheng Zeng Xinyuan Wang Cheng Zhou Hailin Zhang Jintao lai Fujian Express way Group Co. LtdFuzhou 350000FujianChina Fujian Express way Science&Technology Innovation Research Institute Co. LtdFuzhou 350000FujianChina Beijing Baidu Netcom Science Technology Co. LtdBeijing 100000China Key Laboratory of Road and Traffic Engineering of the Ministry of Education Tongji UniversityShanghai 201804China

Tunnels on freeways,as one of the critical bottlenecks,frequently cause severe congestion and passenger *** solve the tunnel bottleneck problem,most of the existing research can be divided into two *** is to adopt variable speed limits(VSLs)to regulate a predetermined speed for vehicles to get through a bottleneck *** other is to adopt high-occupancy vehicle(HOV)lane *** HOV lane management strategies,all traffic is divided into HOVs and low-occupancy vehicles(LOVs).HOVs are vehicles with a driver and one or more *** are vehicles with only a *** kind of research can grant priority to HOVs by providing a dedicated HOV ***,the existing research cannot both mitigate congestion and maximize passenger-oriented *** address the research gap,this paper leverages connected and automated vehicle(CAV)technologies on intelligent freeways and develops a tunnel bottleneck management strategy with a dynamic HOV lane(DHL).The strategy bears the following features:1)enables tunnel bottleneck management at a microscopic level;2)maximizes passenger-oriented benefits;3)grants priority to HOVs even when the HOV lane is open to LOVs;4)allocates right-of-way segments for HOVs and LOVs in real time;and 5)performs well in a mixed-traffic *** proposed strategy is evaluated through comparison against the non-control baseline and a VSL *** analysis is conducted under different congestion levels and penetration *** results demonstrate that the proposed strategy outperforms in terms of passenger-oriented delay reduction and HOVs’priority level improvement.

关键词： tunnel bottleneck high-occupancy vehicle(HOV) intelligent freeways right-of-way segment

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Evaluation of laboratory and environmental exposure systems for protein modification upon gas pollutants and environmental factors

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Journal of Environmental Sciences 2024年第9期143卷 213-223页

作者： Zhiwei Pan ShiyiWu Qiaoze Zhu Fobang Liu Yongjian Liang Chenglei Pei Haoyu Jiang Yingyi Zhang Senchao lai The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters Ministry of EducationSchool of Environment and EnergySouth China University of TechnologyGuangzhou 510006China Department of Environmental Science and Engineering Xi’an Jiaotong UniversityXi’an 710049China Guangzhou Sub-branch of Guangdong Ecological and Environmental Monitoring Center Guangzhou 510006China State Key Laboratory of Organic Geochemistry Guangdong Key Laboratory of Environmental Protection and Resources Utilizationand Joint Laboratory of the Guangdong-Hong Kong-Macao Greater Bay Area for the EnvironmentGuangzhou Institute of GeochemistryChinese Academy of SciencesGuangzhou 510640China School of Marine Sciences Sun Yat-sen UniversityZhuhai 519082China

Chemical modifications of proteins induced by ambient ozone(O_(3))and nitrogen oxides(NOx)are of public health concerns due to their potential to trigger respiratory *** laboratory and environmental exposure systems have been widely used to investigate their relevant mechanism in the *** bovine serum albumin(BSA)as a model protein,we evaluated the two systems and aimed to reduce the uncertainties of both the reactants and products in the corresponding kinetic *** the laboratory simulation system,the generated gaseous pollutants showed negligible *** layers of BSA were coated on the flow tube with protein extraction recovery of 87.4%.For environmental exposure experiment,quartz fiber filter was selected as the upper filter with low gaseous O_(3)(8.0%)and NO_(2)(1.7%)losses,and cellulose acetate filter was appropriate for the lower filter with protein extraction efficiency of 95.2%.The protein degradation process was observed without the exposure to atmospheric oxidants and contributed to the loss of protein monomer mass fractions,while environmental factors(e.g.,molecular oxygen and ultraviolet)may cause greater protein monomer *** on the evaluation,the study exemplarily applied the two systems to protein modification and both showed that O_(3) promotes the protein oligomerization and nitration,while increased temperature can accelerate the oligomerization and increased relative humidity can inhibit the nitration in the environmental exposure *** developed laboratory and environmental systems are suitable for studying protein modifications formed under different atmospheric conditions.A combination of the two will further reveal the actual mechanism of protein modifications.

关键词： Protein modification Laboratory simulation Environmental exposure Oligomerization Nitration

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Coupling Analysis of Multiple Machine Learning Models for Human Activity Recognition

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Computers, Materials & Continua 2024年第6期79卷 3783-3803页

作者： Yi-Chun lai Shu-Yin Chiang Yao-Chiang Kan Hsueh-Chun Lin Department of Public Health China Medical UniversityTaichung406040Taiwan Department of Information and Telecommunications Engineering Ming Chuan UniversityGui-ShanTaoyuan333Taiwan Department of Electrical Engineering Yuan Ze UniversityChung-Li32003Taiwan Department and Institute of Health Service Administrations China Medical UniversityTaichung406040Taiwan

Artificial intelligence(AI)technology has become integral in the realm of medicine and healthcare,particularly in human activity recognition(HAR)applications such as fitness and rehabilitation *** study introduces a robust coupling analysis framework that integrates four AI-enabled models,combining both machine learning(ML)and deep learning(DL)approaches to evaluate their effectiveness in *** analytical dataset comprises 561 features sourced from the UCI-HAR database,forming the foundation for training the ***,the MHEALTH database is employed to replicate the modeling process for comparative purposes,while inclusion of the WISDM database,renowned for its challenging features,supports the framework’s resilience and *** ML-based models employ the methodologies including adaptive neuro-fuzzy inference system(ANFIS),support vector machine(SVM),and random forest(RF),for data *** contrast,a DL-based model utilizes one-dimensional convolution neural network(1dCNN)to automate feature ***,the recursive feature elimination(RFE)algorithm,which drives an ML-based estimator to eliminate low-participation features,helps identify the optimal features for enhancing model *** best accuracies of the ANFIS,SVM,RF,and 1dCNN models with meticulous featuring process achieve around 90%,96%,91%,and 93%,*** analysis using the MHEALTH dataset showcases the 1dCNN model’s remarkable perfect accuracy(100%),while the RF,SVM,and ANFIS models equipped with selected features achieve accuracies of 99.8%,99.7%,and 96.5%,***,when applied to the WISDM dataset,the DL-based and ML-based models attain accuracies of 91.4%and 87.3%,respectively,aligning with prior research *** conclusion,the proposed framework yields HAR models with commendable performance metrics,exhibiting its suitability for integration into the healthcare services system through AI-driven applications.

关键词： Human activity recognition artificial intelligence support vector machine random forest adaptive neuro-fuzzy inference system convolution neural network recursive feature elimination

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Investigation of pore structure alteration and permeability enhancement of shale matrix by supercritical water treatment after hydraulic fracturing

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Petroleum 2024年第2期10卷 265-274页

作者： Yili Kang Peisong Li Wangkun Cao Mingjun Chen Lijun You Jiang Liu Zhehan lai State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Southwest Petroleum University Institute of Engineering Technology PetroChina Coalbed Methane Company Limited Chemical and Petroleum Engineering University of Calgary

Shale gas reservoirs are unconventional tight gas reservoirs, in which horizontal wells and hydraulic fracturing are required to achieve commercial development. The fracture networks created by hydraulic fracturing can increase the drainage area extensively to enhance shale gas recovery. However, large volumes of fracturing fluid that is difficult to flow back to the surface and remained in the shale formation, will inevitably lead to damages of the shale formations and limit the effectiveness of *** water(SCW) treatment after hydraulic fracturing is a new method to enhance shale gas recovery by using appropriate heat treatment methods to the specific formation to convert the retained fracturing fluid into a supercritical state(at temperatures in excess of 373.946°C and pressures in excess of 22.064 MPa). An experiment was conducted to simulate the reaction between shale and SCW, and the capacity of SCW treatment to enhance the permeability of the shale was evaluated by measuring the response of the shale porosity and permeability on SCW treatment. The experimental results show that the shale porosity and permeability increase by 213.43% and 2198.37%, respectively. The pore structure alteration and permeability enhancement of the shale matrix were determined by analyzing the changes in pore structure and mineral composition after SCW treatment. The mechanisms that affect pore structure and mineral composition include oxidative catalysis decomposition of organic matters and reducing minerals, acid-catalyzed decomposition of carbonate minerals and feldspar minerals, hydrothermal catalysis induced fracture extension and cementation weakening induced fracture *** treatment converts harm into a benefit by reducing the intrusion of harmful substances into the shale formation, which will broaden the scope and scale of shale formation stimulation.

关键词： Shale gas Formation damage control Formation heat treatment Supercritical water

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A wealth distribution model with a non-Maxwellian collision kernel

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Chinese Physics B 2024年第7期33卷 224-231页

作者：孟俊周霞赖绍永 College of Mathematics and Statistics Kashi UniversityKashi 844006China College of Mathematics and Physics Mianyang Teacher's CollegeMianyang 621000China School of Mathematics Southwestern University of Finance and EconomicsChengdu 611130China

A non-Maxwellian collision kernel is employed to study the evolution of wealth distribution in a multi-agent *** collision kernel divides agents into two different groups under certain conditions. Applying the kinetic theory of rarefied gases, we construct a two-group kinetic model for the evolution of wealth distribution. Under the continuous trading limit, the Fokker–Planck equation is derived and its steady-state solution is obtained. For the non-Maxwellian collision kernel, we find a suitable redistribution operator to match the taxation. Our results illustrate that taxation and redistribution have the property to change the Pareto index.

关键词： kinetic theory non-Maxwellian collision kernel wealth distribution Pareto index

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An antibiotic-free platform for eliminating persistent Helicobacter pylori infection without disrupting gut microbiota

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Acta Pharmaceutica Sinica B 2024年第7期14卷 3184-3204页

作者： Yongkang lai Tinglin Zhang Xiaojing Yin Chunping Zhu Yiqi Du Zhaoshen Li Jie Gao Department of Gastroenterology Shanghai Changhai HospitalNaval Medical UniversityShanghai 200433China Changhai Clinical Research Unit Shanghai Changhai HospitalNaval Medical UniversityShanghai 200433China Department of Gastroenterology Ganzhou People’s Hospital Affiliated to Nanchang UniversityGanzhou 341000China National Key Laboratory of Immunity and Inflammation Naval Medical UniversityShanghai 200433China Shanghai Key Laboratory of Nautical Medicine and Translation of Drugs and Medical Devices Shanghai 200433China

Helicobacter pylori(***)infection remains the leading cause of gastric adenocarcinoma,and its eradication primarily relies on the prolonged and intensive use of two ***,antibiotic resistance has become a compelling health issue,leading to *** eradication treatment failure ***,the powerlessness of antibiotics against biofilms,as well as intracellular *** and the long-term damage of antibiotics to the intestinal microbiota,have also created an urgent demand for antibiotic-free ***,we describe an antibiotic-free,multifunctional copperorganic framework(HKUST-1)platform encased in a lipid layer comprising phosphatidic acid(PA),rhamnolipid(RHL),and cholesterol(CHOL),enveloped in chitosan(CS),and loaded in an ascorbyl palmitate(AP)hydrogel:AP@CS@Lip@*** platform targets inflammatory sites where *** aggregates through electrostatic ***,hydrolysis by matrix metalloproteinases(MMPs)releases CS-encased nanoparticles,disrupting bacterial urease activity and membrane ***,RHL disperses biofilms,while PA promotes lysosomal acidification and activates host autophagy,enabling clearance of intracellular ***,AP@CS@Lip@HKUST-1 alleviates inflammation and enhances mucosal repair through delayed Cu^(2+) release while preserving the intestinal ***,this platform presents an advanced therapeutic strategy for eradicating persistent *** infection without inducing drug resistance.

关键词： Helicobacter pylori infection Antibiotic-free Biofilms Autophagy Gastric mucosal repair Drug resistance Intestinal microbiota Anti-inflammation

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Dimensionality-driven metal to Mott insulator transition in two-dimensional 1T-TaSe2

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National Science Review 2024年第3期11卷 108-118页

作者： Ning Tian Zhe Huang bo Gyu Jang Shuaifei Guo Ya-Jun Yan Jingjing Gao Yijun Yu Jinwoong Hwang Cenyao Tang Meixiao Wang Xuan Luo Yu Ping Sun Zhongkai Liu Dong-lai Feng Xianhui Chen Sung-Kwan Mo Minjae Kim Young-Woo Son Dawei Shen Wei Ruan Yuanbo Zhang State Key Laboratory of Surface Physics New Cornerstone Science Laboratory and Department of PhysicsFudan University Shanghai Qi Zhi Institute Shanghai Research Center for Quantum Sciences Institute for Nanoelectronic Devices and Quantum Computing Fudan University Zhangjiang Fudan International Innovation Center Fudan University State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology(SIMIT)Chinese Academy of Sciences School of Physical Science and Technology ShanghaiTech University Korea Institute for Advanced Study School of Emerging Technology and Department of Physics University of Science and Technology of China Advanced Light Source Lawrence Berkeley National Laboratory ShanghaiTech Laboratory for Topological Physics Key Laboratory of Materials Physics Institute of Solid State Physics Hefei Institutes of Physical ScienceChinese Academy of Sciences High Magnetic Field Laboratory Hefei Institutes of Physical Science Chinese Academy of Sciences Collaborative Innovation Centre of Advanced Microstructures Nanjing University Department of Physics University of Science and Technology of China and Key Laboratory of Strongly Coupled Quantum Matter Physics Chinese Academy of Sciences National Synchrotron Radiation Laboratory University of Science and Technology of China

Two-dimensional materials represent a major frontier for research into exotic many-body quantum phenomena. In the extreme two-dimensional limit, electron-electron interaction often dominates over other electronic energy scales, leading to strongly correlated effects such as quantum spin liquid and unconventional *** dominance is conventionally attributed to the lack of electron screening in the third dimension. Here, we discover an intriguing metal to Mott insulator transition in 1T-TaSe2that defies conventional wisdom. Specifically, we find that dimensionality crossover, instead of reduced screening, drives the transition in atomically thin 1T-TaSe2. A dispersive band crossing the Fermi level is found to be responsible for the bulk metallicity in the material. Reducing the dimensionality,however, effectively quenches the kinetic energy of these initially itinerant electrons, and drives the material into a Mott insulating *** dimensionality-driven metal to Mott insulator transition resolves the long-standing dichotomy between metallic bulk and insulating surface of 1T-TaSe2. Our work further reveals a new pathway for modulating two-dimensional materials that enables exploring strongly correlated systems across uncharted parameter space.

关键词： two-dimensional materials 1T-TaSe2 dimensionality crossover metal to Mott insulator transition

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Prognostic Nutritional Index Associates with the Severity of Silicosis:A Study from a Tertiary Class A Prevention and Treatment Institute for Occupational Diseases in China

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Biomedical and Environmental Sciences 2024年第1期37卷 122-126页

作者： HE La Gu LIANG Yun lai YANG Lu Qi YUAN Hua Min Medical laboratory Department Hunan Prevention and Treatment Institute for Occupational DiseasesChangsha 410000HunanChina Laboratory Medicine Department Xiangya HospitalCentral South UniversityChangsha 410013HunanChina

Pneumoconiosis is a group of heterogeneous fibrotic lung diseases caused by inorganic mineral dust and includes coal workers’pneumoconiosis and *** involves diffuse or nodular interstitial pulmonary fibrosis caused by exposure to asbestos or silica *** is thought to have the highest number of silicosis cases,with 6,000 new cases reported annually^([1]).Currently,the clinical diagnosis and monitoring of silicosis relies mainly on a history of occupational exposure and radiological abnormalities^([2]).Therefore,determining further indicators is crucial to reflect the severity of silicosis.

关键词： diagnosis lung diseases

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Micromechanism and mathematical model of stress sensitivity in tight reservoirs of binary granular medium

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Petroleum Science 2024年第3期21卷 1780-1795页

作者： Jian-Bang Wu Sheng-lai Yang Qiang Li Kun Yang Can Huang Dao-Ping Lv Wei Zhou State Key Laboratory of Petroleum Resources and Engineering China University of Petroleum(Beijing)Beijing2249China Laboratoire de G eologie Ecole Normale Sup erieure/CNRS UMR8538PSL Research UniversityParis75005France Research Institute of Exploration and Development Xinjiang Oilfield CompanyKaramay834000XinjiangChina

Research on reservoir rock stress sensitivity has traditionally focused on unary granular structures,neglecting the binary nature of real reservoirs,especially tight *** the stresssensitive behavior and mathematical characterization of binary granular media remains a challenging *** this study,we conducted online-NMR experiments to investigate the permeability and porosity evolution as well as stress-sensitive control mechanisms in tight sandy conglomerate *** results revealed stress sensitivity coefficients between 0.042 and 0.098 and permeability damage rates ranging from 65.6%to 90.9%,with an average pore compression coefficient of 0.0168—0.0208 MPa ***-scale compression occurred in three stages:filling,compression,and compaction,with matrix pores playing a dominant role in pore *** stress sensitivity of binary granular media was found to be influenced by the support structure and particle *** stress sensitivity was associated with small fine particle size,high fines content,high uniformity coefficient of particle size,high plastic deformation,and low Young's ***-supported samples exhibited a high irreversible permeability damage rate(average=74.2%)and stress sensitivity coefficients(average=0.089),with pore spaces more *** contrast,grain-supported samples showed low stress sensitivity coefficients(average=0.021)at high stress *** on the experiments,we developed a mathematical model for stress sensitivity in binary granular media,considering binary granular properties and nested interactions using Hertz contact deformation and Poiseuille *** describing the change in activity content of fines under stress,we characterized the non-stationary state of compressive deformation in the binary granular structure and classified the reservoir into three *** model was applied for production prediction using actual data from the Mahu reservoir in China,showing that the e

关键词： Stress sensitivity Binary granular medium Tight reservoir Online-NMR Reservoir energy retention rate

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Evaluating the relative importance of predictors in Generalized Additive Models using the *** R package

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Plant Diversity 2024年第4期46卷 542-546页

作者： Jiangshan lai Jing Tang Tingyuan Li Aiying Zhang Lingfeng Mao College of Ecology and Environment Nanjing Forestry UniversityNanjing210037China Research Center of Quantitative Ecology Nanjing Forestry UniversityNanjing 210037China University of Chinese Academy of Sciences Beijing100049China Guangzhou Climate and Agro-meteorology Center Guangzhou 511430China Guangdong Ecological Meteorological Center Guangzhou 510640China

Generalized Additive Models(GAMs)are widely employed in ecological research,serving as a powerful tool for ecologists to explore complex nonlinear relationships between a response variable and ***,evaluating the relative importance of predictors with concurvity(analogous to collinearity)on response variables in GAMs remains a *** address this challenge,we developed an R package named *** calculates individual R^(2) values for predictors,based on the concept of'average shared variance',a method previously introduced for multiple regression and canonical *** these individual R^(2)s,which add up to the overall R^(2),researchers can evaluate the relative importance of each predictor within *** illustrate the utility of the *** package by evaluating the relative importance of emission sources and meteorological factors in explaining ozone concentration variability in air quality data from London,*** believe that the *** package will improve the interpretation of results obtained from GAMs.

关键词： Average shared variance Coefficient of determination Commonality analysis GAMs Hierarchical partitioning Individual R^(2)

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