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Ideal Cardiovascular Health is Inversely Associated with Subclinical Atherosclerosis: A Prospective Analysis

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Biomedical and Environmental Sciences 2019年第4期32卷 260-271页

作者： wang Long niu jing Ya zhao Zhi yun LI Mian XU Min LU jie Li wang Tian Ge CHEN yu hong wang Shuang yuan DAI meng LI lin LIU Shan Shan wang Wei Qing XU yu BI yu Fang National Clinical Research Center for Metabolic Diseases Shanghai Institute of Endocrine and Metabolic Diseasesand Department of Endocrine and Metabolic DiseasesRui-Jin HospitalShanghai Jiao Tong University School of Medicine

Objective Ideal cardiovascular health(CVH) could predict a lower risk of developing cardiovascular diseases. This study was conducted to investigate the association between ideal CVH and subclinical atherosclerosis in a population cohort of Chinese adults aged ≥ 40 years. Methods This study was designed as a cross-sectional analysis of 8,395 participants who had complete data at baseline and a prospective analysis of 4,879 participants who had complete data at 4.3 years of follow-up. Ideal CVH metrics were defined according to the American Heart Association. Subclinical atherosclerosis was evaluated by plaques in carotid arteries, carotid intima-media thickness(CIMT), brachial-ankle pulse wave velocity(baPWV), and urinary albumin-to-creatinine ratio(UACR). Results Both the prevalence and incidence of atherosclerosis measures were found to be decreased with increasing numbers of ideal CVH metrics at baseline(all P values for trend line(both P values for trend line significant association with baPWV(P for trend = 0.0505). Taking participants with 0-1 ideal metric as reference, we found that participants with 5-6 ideal metrics had significantly lower risks of developing carotid plaques(odds ratio, OR = 0.46; 95% confidence interval, CI 0.27-0.79), increased CIMT(OR = 0.60; 95% CI 0.42-0.84), and increased baPWV(OR = 0.57; 95% CI 0.34-0.97) after full adjustments. A significant interactive effect of age and CVH was detected on CIMT and baPWV progression(both P values for interaction linical atherosclerosis in middle-aged and elderly Chinese adults, whereas its dose-response effect was attenuated in individuals aged ≥ 60 years and partially weakened in male participants.

关键词： Cardiovascular health Subclinical atherosclerosis Cohort

Association of Different Human Rhinovirus Species with Asthma in Children： A Preliminary Study

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Chinese Medical Journal 2016年第13期129卷 1513-1518页

作者： Min zhao Wen-jing Zhu yuan qian yu Sun Ru-Nan Zhu jie Deng Fang wang Ya-Xin Ding Run Tian Chuan-He Liu ling-Hui meng lin-Qing zhao Laboratory of Virology Beijing Key Laboratory of Etiology of Viral Diseases in Children Capital Institute of Pediatrics Beijing 100020 China Division of Respiratory Diseases Affiliated Children's Hospital Capital Institute of Pediatrics Beijing 100020 China Statistical Office Capital Institute of Pediatrics Beijing 100020 China

Background： Human rhinoviruses （HRVs） are divided into three genetic species： HRV-A, HRV-B, and HRV-C. The association of different HRV species with asthma in children in China has not yet been evaluated. This preliminary study aimed to assess the associations between different HRV species, particularly HRV-C, and asthma in young children in China. Methods： A total of 702 nasopharyngeal aspirates were obtained from 155 children with asthma （asthma group）, 461 children with acute respiratory infection （ARI） without asthma （nonasthma ARI group）, and 86 children from the control group. Semi-nested polymerase chain reaction （PCR） was used to detect HRVs, and PCR products were sequenced for species identification. Epidemiological characteristics of HRV-positive cases were analyzed. Results： HRVs were the most common pathogen （ 15.4%; 108/702） in the patients in this study. The prevalence of HRV was significantly different （F = 20.633, P = 0.000） between tile asthma （25.8%） and nonasthma ARI groups （11.1%）. Phylogenetic analysis indicated that in the 108 cases positive for HRVs, 41 were identified as HRV-A, 8 as HRV-B, and 56 as HRV-C, Comparing the asthma with the nonasthlna ARI group, Spearman＇s rank correlation analysis revealed an association between HRV-A （P 〈 0.05） and C （P 〈 0.01） and asthma, confirmed by regression analysis, with odds ratios of 2.2 （HRV-A） and 4.2 （HRV-C）. Conclusions： Our data revealed a high prevalence of HRVs in children in China, regardless of clinical status. HRV-C was the dominant species and may be one of the key factors in the association of HRVs with asthma.

关键词： Asthma Children China Human Rhinovirus

CEPC Technical Design Report

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Radiation Detection Technology and Methods 2024年第1期8卷 I0003-I0016,1-1091页

作者： Waleed Abdallah Tiago Carlos Adorno de Freitas Konstantin Afanaciev Shakeel Ahmad Ijaz Ahmed Xiaocong Ai Abid Aleem Wolfgang Altmannshofer Fabio Alves Weiming An Rui An Daniele Paolo Anderle Stefan Antusch Yasuo Arai Andrej Arbuzov Abdesslam Arhrib Mustafa Ashry Sha Bai yu Bai Yang Bai Vipul Bairathi Csaba Balazs Philip Bambade Yong Ban Tripamo Bandyopadhyay Shou-Shan Bao Desmond P.Barber Ayse Bat Varvara Batozskaya Subash Chandra Behera Alexander Belyaev Michele Bertucci Xiao-Jun Bi yuanjie Bi Tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili Deng Binglin Denis Bodrov Anton Bogomyagkov Serge Bondarenko Stewart Boogert Maarten Boonekamp Marcello Borri Angelo Bosotti Vincent Boudry Mohammed Boukidi Igor Boyko Ivanka Bozovic Giuseppe Bozzi Jean-Claude Brient Anastasiia Budzinskaya Masroor Bukhari Vladimir Bytev Giacomo Cacciapaglia Hua Cai Wenyong Cai Wujun Cai Yijian Cai Yizhou Cai yuchen Cai Haiying Cai Huacheng Cai Lorenzo Calibbi Junsong Cang Guofu Cao Jianshe Cao Antoine Chance Xuejun Chang yue Chang Zhe Chang Xinyuan Chang Wei Chao Auttakit Chatrabhuti Yimin Che yuzhi Che Bin Chen Danping Chen Fuqing Chen Fusan Chen Gang Chen Guoming Chen Hua-Xing Chen Huirun Chen jinhui Chen Ji-yuan Chen Kai Chen Mali Chen Mingjun Chen Mingshui Chen Ning Chen Shanhong Chen Shanzhen Chen Shao-Long Chen Shaomin Chen Shiqiang Chen Tianlu Chen Wei Chen Xiang Chen Xiaoyu Chen Xin Chen Xun Chen Xurong Chen Ye Chen Ying Chen yukai Chen Zelin Chen Zilin Chen Gang Chen Boping Chen Chunhui Chen Hok Chuen Cheng Huajie Cheng Shan Cheng Tongguang Cheng yunlong Chi Pietro Chimenti Wen Han Chiu Guk Cho Ming-Chung Chu Xiaotong Chu Ziliang Chu Guglielmo Coloretti Andreas Crivellin Hanhua Cui Xiaohao Cui zhaoyuan Cui Brunella D'Anzi ling-yun Dai Xinchen Dai Xuwen Dai Antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core Shuangxue Deng Wei-Tian Deng Zhi Deng Ziyan Deng Bhupal Dev Tang Dewen Biagio Di Micco Ran Ding Siqin Dingl Yadong Ding Haiyi Dong Jianin AGH University of Science and Technology Faculty of Physics and Applied Computer ScienceKrakow Anhui University HefeiAnhui Applied Physics Department Federal Urdu University of ArtsScience and TechnologyIslamabad Banaras Hindu University Institute of ScienceVaranasi Bandirma Onyedi Eylul University Bandirma Beihang University Beijing Beijing Computational Science Research Center Beijing Beijing Conveyi LTD Beijing Beijing Glass Research Institute Co. LtdBeijing Beijing Institute of Technology Beijing Beijing Normal University Beijing Brown University ProvidenceRI Budker Institute of Nuclear Physics Novosibirsk Cadi Ayyad University Laboratory of Fundamental and Applied PhysicsPolydisciplinary FacultyMarrakech Cairo University Giza Center for Theory and Computation National Tsing Hua UniversityHsinchu Central China Normal University WuhanHubei Central South University ChangshaHunan Centro de Fisica Teorica de Particulas Universidade Tecnica de LisboaLisboa Chengdu KaitengSifang Digital Radio&TV Equipment Co. LtdChengduSichuan China academy of engineering physics MianyangSichuan China building materials academy Beijing China Center of Advanced Science and Technology Beijing China Institute of Atomic Energy Beijing China Jiliang University HangzhouZhejiang China Nuclear Instrument CO. LTDBeijing China University of Geosciences Beijing China University of Geosciences WuhanHubei China University of Mining and Technology XuzhouJiangsu China West Normal University NanchongSichuan Chongqing University Department of PhysicsChongqing Chulalongkorn University Bangkok City University of hong Kong Department of PhysicsHong Kong Cockcroft Institute Daresbury Cornell University IthacaNY CPPM(AMU/IPhU&CNRS/INP) Marseille Dalian Minzu University DalianLiaoning Dalian University of Technology Department of PhysicsDalian Deutsches Elektronen-Synchrotron DESY Hamburg Dzhelepov Laboratory of Nuclear Problems of Joint Institute for Nuclear Research(DLNP jinR) Dubna East China University Of Science And Technol

The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international *** complex comprises four accelerators:a 30 GeV linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs *** its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs *** the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of *** Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering ***,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection *** is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 *** commencement of experiments and data collection could potentially be initiated in the mid-2030s.

关键词： initiated exceeding precise

十二烷基苯磺酸钠(SDBS)在水溶肥料中的应用探索

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安徽化工 2024年第4期50卷 42-44,49页

作者：钱佳龚瑞杰宋林毅王淼淼韩效钊渠梦晴苏岚王浩宇泰州职业技术学院智能制药与化工新材料学院江苏泰州225300 合肥工业大学化学与化工学院安徽合肥230009

为了探索十二烷基苯磺酸钠(SDBS)在水溶肥料中的应用,通过对表面张力或润湿面积的测试研究了SDBS对水溶肥料稀释液润湿性能的影响,采用浸种试验考查了SDBS对微量元素水溶肥料种子萌发效果的促进作用。结果表明:在中量元素和大量元素水... 详细信息

为了探索十二烷基苯磺酸钠(SDBS)在水溶肥料中的应用,通过对表面张力或润湿面积的测试研究了SDBS对水溶肥料稀释液润湿性能的影响,采用浸种试验考查了SDBS对微量元素水溶肥料种子萌发效果的促进作用。结果表明:在中量元素和大量元素水溶肥料稀释液中添加0.20 g·L^(-1)左右的SDBS能较好地降低肥液表面张力;在微量元素水溶肥料稀释液中添加0.15 g·L^(-1)左右的SDBS能较好地提高肥液润湿性能和浸种效果。

关键词：十二烷基苯磺酸钠水溶肥料表面张力润湿面积浸种

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Establishment and validation of a computer-assisted colonic polyp localization system based on deep learning

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World Journal of Gastroenterology 2021年第31期27卷 5232-5246页

作者： Sheng-Bing zhao Wei Yang Shu-ling wang Peng Pan Run-Dong wang Xin Chang Zhong-qian Sun Xing-Hui Fu hong Shang Jian-Rong Wu Li-Zhu Chen Jia Chang Pu Song Ying-Lei Miao Shui-Xiang He lin Miao Hui-Qing Jiang Wen wang Xia Yang yuan-Hang Dong Han lin Yan Chen jie Gao qian-qian meng Zhen-Dong jin zhao-Shen Li yu Bai Changhai Hospital Second Military Medical University/Naval Medical UniversityShanghai 200433China Tencent AI Lab National Open Innovation Platform for Next Generation Artificial Intelligence on Medical ImagingShenzhen 518063Guangdong ProvinceChina Department of Gastroenterology Changhai HospitalSecond Military Medical University/Naval Medical UniversityShanghai 200433China Tencent Healthcare(Shenzhen)Co.LTD. Shenzhen 518063Guangdong ProvinceChina Department of Gastroenterology The First Affiliated Hospital of Kunming Medical UniversityKunming 650000Yunnan ProvinceChina Department of Gastroenterology The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'an 710061Shaanxi ProvinceChina Institute of Digestive Endoscopy and Medical Center for Digestive Disease The Second Affiliated Hospital of Nanjing Medical UniversityNanjing 210011Jiangsu ProvinceChina Department of Gastroenterology The Second Hospital of Hebei Medical UniversityHebei Key Laboratory of GastroenterologyHebei Institute of GastroenterologyShijiazhuang 050000Hebei ProvinceChina Department of Gastroenterology 900th Hospital of Joint Logistics Support ForceFuzhou 350025Fujian ProvinceChina Department of Gastroenterology No.905 Hospital of The Chinese People's Liberation ArmyShanghai 200050China

BACKGROUND Artificial intelligence in colonoscopy is an emerging field,and its application may help colonoscopists improve inspection quality and reduce the rate of missed polyps and *** deep learning-based computer-assisted detection(CADe)techniques were established from small single-center datasets,and unrepresentative learning materials might confine their application and generalization in wide *** CADes have been reported to identify polyps in colonoscopic images and videos in real time,their diagnostic performance deserves to be further validated in clinical *** To train and test a CADe based on multicenter high-quality images of polyps and preliminarily validate it in clinical *** With high-quality screening and labeling from 55 qualified colonoscopists,a dataset consisting of over 71000 images from 20 centers was used to train and test a deep learning-based *** addition,the real-time diagnostic performance of CADe was tested frame by frame in 47 unaltered full-ranged videos that contained 86 histologically confirmed ***,we conducted a selfcontrolled observational study to validate the diagnostic performance of CADe in real-world colonoscopy with the main outcome measure of polyps per colonoscopy in Changhai *** The CADe was able to identify polyps in the test dataset with 95.0%sensitivity and 99.1%*** colonoscopy videos,all 86 polyps were detected with 92.2%sensitivity and 93.6%specificity in frame-by-frame *** the prospective validation,the sensitivity of CAD in identifying polyps was 98.4%(185/188).Folds,reflections of light and fecal fluid were the main causes of false positives in both the test dataset and clinical *** can detect more polyps(0.90 vs 0.82,P<0.001)and adenomas(0.32 vs 0.30,P=0.045)with the aid of CADe,particularly polyps<5 mm and flat polyps(0.65 vs 0.57,P<0.001;0.74 vs 0.67,P=0.001,respectively).However,high effica

关键词： Computer-assisted detection Artificial intelligence Deep learning Colonoscopy Clinical validation Colorectal polyp

Advances in nuclear detection and readout techniques

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Nuclear Science and Techniques 2023年第12期34卷 281-358页

作者： Rui He Xiao‑Yang niu Yi wang hong‑Wei Liang hong‑Bang Liu Ye Tian hong‑lin Zhang Chao‑jie Zou Zhi‑Yi Liu yun‑Long Zhang Hai‑Bo Yang Ju Huang hong‑Kai wang Wei‑Jia Han Bei Cao Gang Chen Cong Dai Li‑Min Duan Rui‑Rui Fan Fang‑Fa Fu Jian‑Hua Guo Dong Han Wei Jiang Xian‑Qin Li Xin Li Zhuo‑Dai Li yu‑Tie Liang Shun Liao De‑Xu lin Cheng‑Ming Liu Guo‑Rui Liu Jun‑Tao Liu Ze Long meng‑Chen niu Hao Qiu Hu Ran Xiang‑Ming Sun Bo‑Tan wang Jia wang jin‑Xiang wang Qi‑lin wang Yong‑Sheng wang Xiao‑Chuan Xia Hao‑Qing Xie He‑Run Yang hong Yin hong yuan Chun‑Hui Zhang Rui‑Guang zhao Ran Zheng Cheng‑Xin zhao Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000China School of Nuclear Science and Technology University of Chinese Academy of SciencesBeijing 100049China Advanced Energy Science and Technology Guangdong Laboratory Huizhou 516000China Key Laboratory of Particle and Radiation Imaging Department of Engineering PhysicsTsinghua UniversityBeijing 100084China School of Integrated Circuits Dalian University of TechnologyDalian 116020China Guangxi Key Laboratory for Relativistic Astrophysics School of Physical Science and TechnologyGuangxi UniversityNanning 530004China School of Nuclear Science and Technology Lanzhou UniversityLanzhou 730000China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of ChinaHefei 230026China Department of Radiation Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China Electronic Engineering School Heilongjiang UniversityHarbin 150080China Spallation Neutron Source Science Center Dongguan 523803China Micro‑electronic Department Harbin Institute of TechnologyHarbin 150001China Purple Mountain Observatory Chinese Academy of SciencesNanjing 210034China Liaoning Academy of Materials Shenyang 110167China Istituto Nazionale di Fisica Nucleare Sezione di PerugiaPerugiaItaly School of Mathematics and Physics Chengdu University of TechnologyChengdu 620035China PLAC Key Laboratory of Quark and Lepton Physics(MOE)Central China Normal UniversityWuhan 430079China School of Electronics and Information Northwestern Polytechnical UniversityXi’an 710129China State Key Lab of Superhard Materials College of PhysicsJilin UniversityChangchun 130012China School of Computer Science Northwestern Polytechnical UniversityXi’an 710129China

“A Craftsman Must Sharpen His Tools to Do His Job,”said *** detection and readout techniques are the foundation of particle physics,nuclear physics,and particle astrophysics to reveal the nature of the ***,they are being increasingly used in other disciplines like nuclear power generation,life sciences,environmental sciences,medical sciences,*** article reviews the short history,recent development,and trend of nuclear detection and readout techniques,covering Semiconductor Detector,Gaseous Detector,Scintillation Detector,Cherenkov Detector,Transition Radiation Detector,and Readout *** explaining the principle and using examples,we hope to help the interested reader underst and this research field and bring exciting information to the community.

关键词： Silicon detector Wide bandgap detector Time projection chamber(TPC) Multigap resistive plate chamber detector(MRPC) Scintillation detector Calorimeters Cherenkov detector Transition radiation detector Artificial intelligence Trigger-less readout

The optimal vaccination strategy to control COVID-19:a modeling study in Wuhan City,China

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Infectious Diseases of Poverty 2021年第6期10卷 48-73页

作者： Ze-yu zhao Yan niu Li Luo Qing-qing Hu Tian-long Yang Mei-jie Chu Qiu-ping Chen zhao Lei Jia Rui Cheng‑long Song Sheng‑nan lin Yao wang jing‑wen Xu yuan‑zhao Zhu Xing‑chun Liu meng Yang jie‑feng Huang Wei‑kang Liu Bin Deng Chan Liu Zhuo‑yang Li Pei‑hua Li Yan-hua Su Ben-hua zhao Wen-long Huang Roger Frutos Tian-mu Chen State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics School of Public HealthXiamen University4221‑117 South Xiang’an RoadXiang’an DistrictXiamen 361102FujianPeople’s Republic of China Cirad UMR 17IntertrypUniversitéde MontpellierMontpellierFrance Chinese Center for Disease Control and Prevention BeijingPeople’s Republic of China Division of Public Health School of MedicineUniversity of UtahUtahUSA Medical Insurance Ofce Xiang’an Hospital of Xiamen UniversityXiamenFujianPeople’s Republic of China Department of Data Science College of Natural SciencesColorado State UniversityFort CollinsCOUSA Fujian Provincial Center for Disease Control and Prevention 76 Jintai RoadGulou DistrictFuzhouFujianPeople’s Republic of China

Background: Reaching optimal vaccination rates is an essential public health strategy to control the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to simulate the optimal vaccination strategy to control the disease by developing an age-specific model based on the current transmission patterns of COVID-19 in Wuhan City, ***: We collected two indicators of COVID-19, including illness onset data and age of confirmed case in Wuhan City, from December 2, 2019, to March 16, 2020. The reported cases were divided into four age groups: group 1, ≤ 14 years old;group 2, 15 to 44 years old;group 3, 44 to 64 years old;and group 4, ≥ 65 years old. An age-specific susceptible-exposed-symptomatic-asymptomatic-recovered/removed model was developed to estimate the transmissibility and simulate the optimal vaccination strategy. The effective reproduction number (R_(eff)) was used to estimate the transmission interaction in different age ***: A total of 47 722 new cases were reported in Wuhan City from December 2, 2019, to March 16, 2020. Before the travel ban of Wuhan City, the highest transmissibility was observed among age group 2 (R_(eff) = 4.28), followed by group 2 to 3 (R_(eff) = 2.61), and group 2 to 4 (R_(eff) = 1.69). China should vaccinate at least 85% of the total population to interrupt transmission. The priority for controlling transmission should be to vaccinate 5% to 8% of individuals in age group 2 per day (ultimately vaccinated 90% of age group 2), followed by 10% of age group 3 per day (ultimately vaccinated 90% age group 3). However, the optimal vaccination strategy for reducing the disease severity identified individuals ≥ 65 years old as a priority group, followed by those 45-64 years ***: Approximately 85% of the total population (nearly 1.2 billion people) should be vaccinated to build an immune barrier in China to safely consider removing border restrictions. Based on these results, we concluded that 90% of adul

关键词： SARS-CoV-2 Transmissibility Age-specific model Vaccination strategy Effectiveness

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废水中有机物对铁盐除磷的影响

中国环境科学 2020年第1期40卷 288-293页

作者：赵治国袁林江王骞赵杰刘梦瑜王茹陕西省环境工程重点实验室陕西西安710055 西北水资源与环境生态教育部重点实验室陕西西安710055 陕西冶金设计研究院有限公司陕西西安710055

通过批次实验探究了不同有机物对铁盐化学除磷的影响.结果显示,有机物对铁盐化学除磷的不利影响由强到弱依次为柠檬酸、黄腐酸、聚山梨酯-80、牛血清蛋白、葡萄糖、淀粉,柠檬酸的影响程度为其他五种有机物的5~20倍.较之含羟基有机物,含... 详细信息

通过批次实验探究了不同有机物对铁盐化学除磷的影响.结果显示,有机物对铁盐化学除磷的不利影响由强到弱依次为柠檬酸、黄腐酸、聚山梨酯-80、牛血清蛋白、葡萄糖、淀粉,柠檬酸的影响程度为其他五种有机物的5~20倍.较之含羟基有机物,含羧基有机物对铁盐除磷的不利影响更大.研究表明:铁盐化学除磷的实质是通过形成铁羟基氧化物(HFO)来除磷.含羧基有机物,如柠檬酸,可与磷酸根竞争HFO,有机物“抢占”HFO表面结合位点导致磷酸盐与HFO结合减少,从而使铁盐除磷效果下降.在所试柠檬酸浓度范围内,铁盐除磷率最高下降了90.70%.

关键词：有机物化学除磷羟基氧化物羧基

Measurement of the ^(232)Th(n,f)cross section in the 1-200 MeV range at the CSNS Back-n

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Nuclear Science and Techniques 2023年第8期34卷 142-153页

作者： Zhi-Zhou Ren Yi-Wei Yang Yong-Hao Chen Rong Liu Bang-Jiao Ye jie Wen Hai-Rui Guo Zi-jie Han Qi-Ping Chen Zhong-Wei Wen Wei-Li Sun Han Yi Xing-Yan Liu Tao Ye Jiang-Bo Bai Qi An jie Bao yu Bao Ping Cao Hao-Lei Chen Zhen Chen Zeng-Qi Cui Rui-Rui Fan Chang-Qing Feng Ke-Qing Gao Xiao-Long Gao Min-Hao Gu Chang-Cai Han Guo-Zhu He Yong-Cheng He Yang hong Yi-Wei Hu Han-Xiong Huang Xi-Ru Huang Hao-yu Jiang Wei Jiang Zhi-jie Jiang Han-Tao jing ling Kang Bo Li Chao Li Jia-Wen Li qiang Li Xiao Li Yang Li jie Liu Shu-Bin Liu Ze Long Guang-yuan Luan Chang-Jun Ning meng-Chen niu Bin-Bin Qi jie Ren Xi-Chao Ruan zhao-Hui Song Kang Sun Zhi-Jia Sun Zhi-Xin Tan jing-yu Tang Xin-Yi Tang Bin-Bin Tian Li-Jiao wang Peng-Cheng wang zhao-Hui wang Xiao-Guang Wu Xuan Wu Li-Kun Xie Xiao-yun Yang Li yu Tao yu Yong-Ji yu Guo-Hui Zhang lin-Hao Zhang Qi-Wei Zhang Xian-Peng Zhang yu-Liang Zhang Zhi-Yong Zhang Lu-Ping Zhou Zhi-Hao Zhou Ke-Jun Zhu Department of Modern Physics University of Science and Technology of ChinaHefei 230026China Institute of Nuclear Physics and Chemistry China Academy of Engineering PhysicsMianyang 621900China Institute of High Energy Physics Chinese Academy of Sciences(CAS)Beijing 100049China Spallation Neutron Source Science Center Dongguan 523803China Institute of Applied Physics and Computational Mathematics Beijing 100088China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of ChinaHefei 230027China Key Laboratory of Nuclear Data China Institute of Atomic EnergyBeijing 102413China School of Nuclear Science and Technology University of Science and Technology of ChinaHefei 230027China State Key Laboratory of Nuclear Physics and Technology School of PhysicsPeking UniversityBeijing 100871China State Key Laboratory of Particle Detection and Electronics Institute of High Energy PhysicsChinese Academy of SciencesBeijingChina Northwest Institute of Nuclear Technology Xi’an 710024China University of Chinese Academy of Sciences Beijing 100049China Department of Engineering and Applied Physics University of Science and Technology of ChinaHefei 230026China

The ^(232)Th(n,f)cross section is very important in basic nuclear physics and applications based on the Th/U fuel *** the time-of-flight method and a multi-cell fast-fission ionization chamber,a novel measurement of the^(232)Th(n,f)cross sec-tion relative to^(235)U in the 1–200 MeV range was performed at the China Spallation Neutron Source Back-n white neutron source(Back-n).The fission event-neutron energy spectra of^(232)Th and^(235)U fission cells were measured in the single-bunch *** 232Th/235U fission cross-sectional ratios were obtained,and the measurement uncertainties were 2.5–3.7%for energies in the 2–20 MeV range and 3.6–6.2%for energies in the 20–200 MeV ***^(232)Th(n,f)cross section was obtained by introducing the standard cross section of^(235)U(n,f).The results were compared with those of previous theoreti-cal calculations,measurements,and *** measured 232Th fission cross section agreed with the main evaluation results in terms of the experimental uncertainty,and 232Th fission resonances were observed in the 1–3 MeV *** present results provide^(232)Th(n,f)cross-sectional data for the evaluation and design of Th/U cycle nuclear systems.

关键词： 232Th(n f)cross section Fast-fission ionization chamber Back-n white neutron source