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Effectiveness of exercise therapy on chronic ankle instability: a meta-analysis

SCIENTIFIC REPORTS 2025年第1期15卷 1-14页

作者： Zhang, Chengcheng Luo, Zhenzhou Wu, Dingwei Fei, Jie Xie, Tianpei Su, Min Soochow Univ Affiliated Hosp 4 Suzhou 086215000 Peoples R China Fujian Med Univ Union Hosp Dept Orthoped Fuzhou 086350001 Peoples R China Nanjing Med Univ Affiliated Jiangning Hosp Nanjing 086210000 Peoples R China

Lateral ankle sprains are one of the most common musculoskeletal injuries. Up to 70% of individuals who sustain lateral ankle sprains develop chronic ankle instability (CAI). Exercise therapy is considered an effective treatment for patients with CAI. This meta-analysis investigated the efficacy of exercise therapy in CAI patients by reviewing 15 randomized controlled trials (RCTs) involving 586 participants. Databases including PubMed, EMBASE, Cochrane Library, and Web of Science were searched from inception to September 13, 2024. The Cochrane Risk of Bias Tool was used to assess study quality. Meta-analysis, sensitivity analysis, and publication bias analysis were conducted using RevMan 5.3.0 and Stata 18.0 software. The Grading of Recommendations, Assessment, development, and Evaluations (GRADE) approach was applied to evaluate the quality of evidence. Main outcomes were assessed using the Foot and Ankle Ability Measure (FAAM) and the Star Excursion Balance Test (SEBT). The results demonstrated that exercise therapy significantly improved FAAM-S (MD = 7.98, CI: 4.11 to 11.86, p < 0.0001, I-2 = 30%). Long-term exercise therapy (over 4 weeks) significantly enhanced FAAM-A (MD = 10.95, CI: 6.60 to 15.29, p < 0.00001, I-2 = 0%) and dynamic balance ability of ankle joint (SBET-A: MD = 4.83, CI: 1.04 to 8.63, p = 0.01, I-2 = 62%;SEBT-PM: MD = 6.93, CI: 2.37 to 11.48, p = 0.003, I-2 = 69%;and SEBT-PL: MD = 8.98, CI: 2.66 to 15.29, p = 0.005, I-2 = 86%). After categorizing by exercise type, the results indicated that strength training was more effective in improving SEBT-PL (MD = 8.15, CI: 6.09 to 10.21, p < 0.00001, I-2 = 0%), joint mobilization was more effective in improving SEBT-A (MD = 7.65, CI: 4.93 to 10.37, p < 0.00001, I-2 = 0%), and proprioceptive training was more effective in improving SEBT-PM (MD = 10.46, CI: 5.27 to 15.65, p < 0.0001, I-2 = 33%). In conclusion, long-term, multifaceted exercise therapy demonstrates superior rehabilitation efficacy for patien

关键词： Exercise therapy Chronic ankle instability Meta-analysis FAAM SEBT

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Natural variation of CT2 affects the embryo/kernel weight ratio in maize

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Journal of Genetics and Genomics 2025年第3期52卷 432-440页

作者： Yumin Zhang Sihan Zhen Chunxia Zhang Jie Zhang Xiaoqing Shangguan Jiawen Lu Qingyu Wu Lynnette M.A.Dirk A.Bruce Downie Guoying Wang Tianyong Zhao Junjie Fu State Key Laboratory for Crop Stress Resistance and High-Efficiency Production College of Life SciencesNorthwest A&F UniversityYanglingShaanxi 712100China The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region Ministry of AgricultureNorthwest A&F UniversityYanglingShaanxi 712100China State Key Laboratory of Crop Gene Resources and Breeding Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijing 100081China Seed Science and Technology Research Center Beijing Innovation Center for Seed Technology(MOA)Beijing Key Laboratory for Crop Genetic ImprovementCollege of Agronomy and BiotechnologyChina Agricultural UniversityBeijing 100193China School of Management Science and Real Estate Chongqing UniversityChonging 400045China Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural SciencesBeijing 100081China Department of Horticulture Seed BiologyCollege of AgricultureFood and EnvironmentUniversity of KentuckyLexingtonKY 40546USA

Embryo size is a critical trait determining not only grain yield but also the nutrition of the maize *** to the present,only a few genes have been characterized affecting the maize embryo/kernel ***,we identify 63 genes significantly associated with maize embryo/kernel weight ratio using a genome-wide association study(GWAS).The peak GWAS signal shows that the natural variation in Zea mays COMPACT PLANT2(CT2),encoding the heterotrimeric G proteinαsubunit,is significantly associated with the Embryo/Kernel Weight Ratio(EKWR).Further analyses show that a missense mutation of CT2 increases its enzyme activity and associates with *** function of CT2 on affecting embryo/kernel weight ratio is further validated by the characterization of two ct2 mutants,for which EKWR is significantly ***,the key downstream genes of CT2 are identified by combining the differential expression analysis of the ct2 mutant and quantitative trait transcript analysis in the GWAS *** addition,the allele frequency spectrum shows that CT2 was under selective pressure during maize *** study provides important genetic insights into the natural variation of maize embryo/kernel weight ratio,which could be applied in future maize breeding programs to improve grain yield and nutritional content.

关键词： Maize Embryo size GWAS CT2 Natural variation

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A Reliable Medium for Monitoring Atmospheric Deposition near Emission Sources by Using Snow from Agricultural Areas

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ATMOSPHERE 2025年第1期16卷 26-26页

作者： Liu, Jiayang Sun, Zaijin Lei, Wenkai Xu, Jingwen Sun, Qian Shen, Zhicheng Lyu, Yixuan Shi, Huading Zhou, Ying Zhang, Lan Wu, Zefeng Pan, Yuepeng Beijing Univ Technol Sch Environm Sci & Engn Key Lab Beijing Reg Air Pollut Control Beijing 100124 Peoples R China Chinese Acad Sci Inst Atmospher Phys Key Lab Atmospher Environm & Extreme Meteorol Beijing 100029 Peoples R China Minist Ecol & Environm Tech Ctr Soil Agr & Rural Ecol & Environm Beijing 100012 Peoples R China Capital Normal Univ Anal & Test Ctr Beijing 100048 Peoples R China Shifang Environm Protect Engn Co Ltd Anyang 455000 Peoples R China

Atmospheric deposition is an important source of heavy metal in soil and the use of dust collection cylinders is a traditional monitoring method. This method has limitations in agricultural areas because polluted soil particles may become resuspended and eventually deposited into these cylinders, leading to overestimates in the amount of atmospheric deposition in soil. To address this concern, we propose that frequent snowfall can help suppress local soil dust resuspension and that fresh snow can serve as an efficient surrogate surface when collecting atmospheric deposition samples. To investigate the rationality of this method, 52 snow samples were collected from sites surrounding smelting plants in Anyang, an industrial region of North china. The results revealed that the concentration of cadmium in the melted snow ranged between 0.03 and 41.09 mu g/L, with mean values three times higher around the industrial sites (5.31 mu g/L) than background farmlands (1.54 mu g/L). In addition, the cadmium concentration in the snow from sites surrounding the factories was higher in the north than in the south because of prevailing winds blowing from the southwest. Moreover, snow samples from sites with high concentrations of cadmium and sulfate can be categorized into different groups via the clustering method, conforming to the spatial distribution of particulate matter emissions and sulfur dioxide satellite column concentrations. Finally, a positive correlation was found between the cadmium content in the snow and the production capacity (R-2 = 0.90, p < 0.05) and total permitted emissions (R-2 = 0.69, p > 0.05) of the nearby factories. These findings demonstrate that snow is a reliable medium for documenting atmospheric dry deposition associated with specific industrial emissions.

关键词： soil pollution heavy metals industrial emissions snow surrogate atmospheric deposition

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Advances in the treatment of multi-pollutant flue gas in china's building materials industry

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Journal of Environmental Sciences 2023年第1期123卷 400-416页

作者： Shangchao Xiong Jianjun Chen Hao Liu Wenzhe Si Yue Peng Xuecheng Wu Huan Liu Junhua Li State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Faculty of Geosciences and Environmental Engineering Southwest Jiaotong UniversityChengdu 610031China State Key Laboratory of Clean Energy Utilization School of Energy EngineeringZhejiang UniversityHangzhou 310027China

In most of the world’s building material industries,the control of flue gas pollutants mainly focuses on a single ***,given the large capacity and high contribution of china’s building materials industry to global air pollution,the need to develop multipollutant emission reduction technology is ***,china has focused on reducing the emissions of flue gas pollutants in the building materials industry,established many key research and development projects,and gradually implemented more stringent pollutant emission *** project focuses on the most recent advances in flue gas emission control technology in china’s building materials industry,including denitration,dust removal,desulfurization,synergistic multi-pollutant emission reduction,and the construction of pilot research and demonstration projects for pollutant removal in several building material *** this basis,revised pollutant limits in flue gas emitted in china’s building material industry are proposed.

关键词： Building materials industry Multi pollutants Emission control Flue gas Demonstration project

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Prediction of heavy metal contamination in soil-groundwater systems at contaminated sites

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ENVIRONMENTAL TECHNOLOGY 2025年 1-13页

作者： Jiang, Jie Chen, Junlin Ou, Xiaoduo Luo, Haohao Wang, Shufei Guangxi Univ Sch Civil Engn & Architecture Nanning 530004 Peoples R China

The diffusion of heavy metal pollutants in polluted industrial areas can cause severe environmental pollution in surrounding areas. However, the migration of pollutants into groundwater is a complex process that requires consideration of local geological and hydrological conditions, solute transport, and geochemistry factors to better predict the flow paths and plume dispersion of pollutants. This study is based on numerical models of Darcy's law and the Richards equation. A numerical model is used to predict the pollution risk of a certain abandoned metallurgical site. The results indicate that the risk of heavy metal leaching is extremely high under natural conditions, potentially affecting downstream reservoirs after 1500 days. The use of permeable reactive barriers (PRBs) can effectively prevent the migration of heavy metals. However, even with PRBs, 28%-30% of pollutants may still continue to spread outward through lateral flow pathways. The use of impermeable Funnel-and-gate PRB design can effectively reduce lateral pollutant migration, reducing lateral leakage by up to 27%. Based on these results, the rational design of PRBs can effectively reduce remediation costs and time, enhance groundwater remediation effectiveness, and provide strong support for environmental protection and ecological health.

关键词： Heavy metal pollution pollution transport numerical simulation groundwater pollution control contaminated site

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Thermal-hydraulic performance analysis and multi-objective optimization of a microchannel with staggered semi-elliptical ribs

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Science china(Technological Sciences) 2024年第10期67卷 3152-3167页

作者： CUI Pan LIU Wei LIU ZhiChun School of Energy and Power Engineering Huazhong University of Science and TechnologyWuhan 430074China

To enhance the cooling capacity of traditional microchannels for high heat flux electronic devices,a microchannel design with staggered semi-elliptical ribs is proposed in this *** numerical simulations,the flow characteristics of the designed microchannel are compared with those of a smooth one,and the effects of rib width(W_(r)),rib height(H_(r)),and rib length(L_(r)),on the thermal-hydraulic performance are investigated under laminar flow *** results show that the periodically arranged ribs induce periodic vortices within the microchannel,effectively promoting fluid mixing and enhancing heat transfer.W_(r) and H_(r) have similar effects on microchannel performance,with an increase in them leading to an enhanced thermal performance at the expense of deteriorated hydraulic ***,L_(r) has a comparatively weaker influence,with both the heat transfer and flow resistance initially growing with increasing L_(r) and then *** strike a balance between the two performances,a multi-objective optimization on the three geometrical parameters is conducted at a Reynolds number(Re)of *** with simulation data,artificial neural networks are trained as surrogate models,and a multi-objective genetic algorithm is employed to derive the Pareto *** the TOPSIS decision-making method,an optimal compromise solution is determined as W_(r)=0.2415 mm,H_(r)=0.0976 mm,and L_(r)=0.6486 *** testing on the optimized microchannel reveals that it exhibits high heat transfer,middle flow resistance,and excellent overall performance,with the performance evaluation criterion(PEC)falling between 1.572 and 1.723 within the Re range of 220–660.

关键词： heat transfer enhancement microchannel semi-elliptical rib numerical simulation multi-objective optimization

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Improving global weather and ocean wave forecast with large artificial intelligence models

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Science china Earth Sciences 2024年第12期67卷 3641-3654页

作者： Fenghua LING Lin OUYANG Boufeniza Redouane LARBI Jing-Jia LUO Tao HAN Xiaohui ZHONG Lei BAI Institute for Climate and Application Research(ICAR)/CIC-FEMD/KLME/ILCEC School of Future TechnologyNanjing University of Information Science and TechnologyNanjing 210044China Ganzhou Meteorological Bureau Ganzhou 341000China Shanghai AI Laboratory Shanghai 200232China The Hong Kong University of Science and Technology Hong Kong 999077China Artificial Intelligence Innovation and Incubation Institute of Fudan University Shanghai 201203China

The rapid advancement of artificial intelligence technologies,particularly in recent years,has led to the emergence of several large parameter artificial intelligence weather forecast *** models represent a significant breakthrough,overcoming the limitations of traditional numerical weather prediction models and indicating the emergence of profound potential tools for atmosphere-ocean *** study explores the evolution of these advanced artificial intelligence forecast models,and based on the identified commonalities,proposes the“Three Large Rules”for large weather forecast models:a large number of parameters,a large number of predictands,and large potential *** discuss the capacity of artificial intelligence to revolutionize numerical weather prediction,briefly outlining the underlying reasons for the significant improvement in weather *** acknowledging the high accuracy,computational efficiency,and ease of deployment of large artificial intelligence forecast models,we also emphasize the irreplaceable values of traditional numerical forecasts and explore the challenges in the future development of large-scale artificial intelligence atmosphere-ocean forecast *** believe that the optimal future of atmosphere-ocean weather forecast lies in achieving a seamless integration of artificial intelligence and traditional numerical *** a synthesis is anticipated to offer a more advanced and reliable approach for improved atmosphere-ocean ***,we illustrate how forecasters can leverage the large weather forecast models through an example by building an artificial intelligence model for global ocean wave forecast.

关键词： Numerical weather prediction Deep learning Large AI weather forecast models Global ocean wave forecast

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A review of gas-phase chemical mechanisms commonly used in atmospheric chemistry modelling

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Journal of Environmental Sciences 2023年第1期123卷 522-534页

作者： Yanhui Liu Jiayin Li Yufang Ma Ming Zhou Zhaofeng Tan Limin Zeng Keding Lu Yuanhang Zhang State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Science and EngineeringPeking UniversityBeijing 100871China Institute of Energy and Climate Research IEK-8:TroposphereForschungszentrum Jülich GmbHJülich 52428Germany

The atmospheric chemical mechanism is an essential component of airshed models used for investigating the chemical behaviors and impacts of *** the first tropospheric chemical mechanism was proposed in the 1960s,various mechanisms including Master Chemical Mechanism(MCM),Carbon Bond Mechanism(CBM),Statewide Air Pollution research Center(SAPRC)and Regional Atmospheric Chemistry Mechanism(RACM)have been developed for different research *** work summarizes the development and applications of these mechanisms,introduces their compositions and lumping methods,and compares the ways the mechanisms treat radicals with box model *** can reproduce urban pollution events with relatively low cost compared to SAPRC and RACM,whereas the chemical behaviors of radicals and the photochemical production of ozone are described in detail in *** photolysis rates of some oxygenated compounds are low in SAPRC07,which may result in underestimation of radical *** an explicit chemical mechanism,MCM describes the chemical processes of primary pollutants and their oxidation products in *** can be used to investigate certain chemical processes;however,due to its large size,it is rarely used in regional model simulations.A box model case study showed that the chemical behavior of OH and HO_(2)radicals and the production of ozone were well described by all *** and SAPRC underestimated the radical levels for different chemical treatments,leading to low ozone production values in both *** and RACM are widely used in box model studies,while CBM and SAPRC are often selected in regional simulations.

关键词： Atmospheric chemistry Gas-phase chemical mechanism Ozone Box model

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Measurement of atmospheric nanoparticles:Bridging the gap between gas-phase molecules and larger particles

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Journal of Environmental Sciences 2023年第1期123卷 183-202页

作者： Chao Peng Chenjuan Deng Ting Lei Jun Zheng Jun Zhao Dongbin Wang Zhijun Wu Lin Wang Yan Chen Mingyuan Liu Jingkun Jiang Anpei Ye Maofa Ge Weigang Wang State Key Laboratory for Structural Chemistry of Unstable and Stable Species Beijing National Laboratory for Molecular Sciences(BNLMS)CAS Research/Education Center for Excellence in Molecular SciencesInstitute of ChemistryChinese Academy of SciencesBeijing 100190China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China School of Environment Science and Engineering Nanjing University of Information Science&TechnologyNanjing 210044China School of Atmospheric Sciences Sun Yat-sen UniversityZhuhaiGuangdong 519082China State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention(LAP3) Department of Environmental Science&EngineeringFudan UniversityShanghai 200433China Key Laboratory for the Physics and Chemistry of Nanodevices Department of ElectronicsSchool of Electronics Engineering and Computer SciencePeking UniversityBeijing 100871China University of Chinese Academy of Sciences Beijing 100049China

Atmospheric nanoparticles are crucial components contributing to fine particulate matter(PM_(2.5)),and therefore have significant effects on visibility,climate,and human *** to the unique role of atmospheric nanoparticles during the evolution process from gas-phase molecules to larger particles,a number of sophisticated experimental techniques have been developed and employed for online monitoring and characterization of the physical and chemical properties of atmospheric nanoparticles,helping us to better understand the formation and growth of new *** this paper,we firstly review these state-of-the-art techniques for investigating the formation and growth of atmospheric nanoparticles(e.g.,the gas-phase precursor species,molecular clusters,physicochemical properties,and chemical composition).Secondly,we present findings from recent field studies on the formation and growth of atmospheric nanoparticles,utilizing several advanced ***-more,perspectives are proposed for technique development and improvements in measuring atmospheric nanoparticles.

关键词： Nanoparticle Measurement techniques Size distributions Physical properties Chemical composition

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An equipment-level digital twin method for industrial robots for machining

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INTERnational JOURNAL OF PRODUCTION research 2024年

作者： Hu, Bingtao Cheng, Dinghao Fu, Yun Song, Xiuju Bi, Yunbo Zhao, Qiangqiang Tan, Jianrong Zhejiang Univ State Key Lab Fluid Power Components & Mechatron S Hangzhou Peoples R China XiziSpirit Aerosp Ind Zhejiang Ltd Hangzhou Peoples R China Xi An Jiao Tong Univ Key Lab Educ Minist Modern Design &Rotor Bearing S Xian Peoples R China

The machining and assembly processes of high-end industrial equipment require high precision and efficiency. Digital twin (DT) can enable real-time simulation and monitoring, allowing for the timely prediction and adjustment of operations to enhance production efficiency and quality. Current research shows that the synchronisation of data and models in DT has not been elaborated in detail. This study proposes a low-cost equipment-level lightweight industrial DT system, elucidating the spatial coordinate establishment and conversion mechanisms in synchronisation between physical entities and virtual models. A detailed data and model interaction method compatible with multi-version modelling and data processing software is proposed, which realises the lightweight of virtual models, reduces the cost of DT, and improves the synchronisation speed. Taking the assembly surface grinding process of the auxiliary power unit (APU) hatch as an example, the practicality of the proposed method is verified, and the effectiveness of the proposed method is validated through point cloud scanning technology. The results show that the proposed method can achieve synchronisation of physical entities and virtual models' movements and ensure working accuracy. This study reduces the requirements of DT for industrial software configuration, enhances the efficiency of DT and facilitates further development of DT in industry.

关键词： Industrialisation industrial equipment industrial digital twin data interaction lightweight low cost

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