Statistical Analysis of Radioactivity:Lamprecht Uranium Mine in Texas Mark C.Harvey1 and Nancy L.Glenn Griesinger2(1.Department of Physics,Texas Southern University,Houston,TX 77004;2.Department of Mathematical Scienc...Statistical Analysis of Radioactivity:Lamprecht Uranium Mine in Texas Mark C.Harvey1 and Nancy L.Glenn Griesinger2(1.Department of Physics,Texas Southern University,Houston,TX 77004;2.Department of Mathematical Sciences,Texas Southern University,Houston,TX 77004)Abstract:The former Lamprecht uranium mine facility in Texas ceased operations well before the new millennium.However,decommissioning activities were never completed by the licensee.Consequently,a legal proceeding was authorized between state and licensee representatives.Meanwhile,state funds were used to hire an independent contractor to perform radiological surveys and assess the magnitude of residual radioactivity across the terrain at the site.The purpose of this study was to apply advanced spatial statistical methods to the survey data measured by contractors at the Lamprecht site to precisely predict remaining radioactive hotspot locations post soil remediation activities.展开更多
Evaluation of the Performance of Different Types of Radiation Protection Gloves: A Cross-sectional Study Mitsuyoshi Yasuda1,2 , Syoji Manabu2 , Tomoki Fuji2 , Noritaka Seino3 , Hiroyuki Watanabe1,2 , Hisaya Sato1,4 , ...Evaluation of the Performance of Different Types of Radiation Protection Gloves: A Cross-sectional Study Mitsuyoshi Yasuda1,2 , Syoji Manabu2 , Tomoki Fuji2 , Noritaka Seino3 , Hiroyuki Watanabe1,2 , Hisaya Sato1,4 , Kyoichi Kato1,5 (1. Graduate School of Health Sciences, Showa University, 1865 Tokaichiba, Midori- ku, Yokohama, Kanagawa 226 - 0025, Japan;2. Department of Radiological Technology, Showa University Hospital, 1- 5- 8 Hatanodai, Shinagawa - ku, Tokyo 142 - 8666, Japan;3. Department of Radiology, Showa University, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo 142-8666, Japan;4. Department of Radiology, Showa University Fujigaoka Hospital, 1-30 Fujigaoka Aoba-ku, Yokohama, Kanagawa 227-8501, Japan;5. Department of Radiological Technology, Showa University, Tokyo, Japan)展开更多
Health Phys.Abstracts,Volume 126,Number 4Continuing Steady Challenges Involved in the Lifting of Evacuation Orders after the Fukushima Daiichi Nuclear Power Plant Accident Yurie Kobashi1,2,Arifumi Hasegawa2,Shunichi Y...Health Phys.Abstracts,Volume 126,Number 4Continuing Steady Challenges Involved in the Lifting of Evacuation Orders after the Fukushima Daiichi Nuclear Power Plant Accident Yurie Kobashi1,2,Arifumi Hasegawa2,Shunichi Yamashita1(1.Global Exchange Center,Fukushima Medical University School of Medicine,Fukushima City,Fukushima,Japan;2.Department of Radiation Disaster Medicine,Fukushima Medical University School of Medicine,Fukushima City,Fukushima,Japan).展开更多
Structural health monitoring is widely utilized in outdoor environments,especially under harsh conditions,which can introduce noise into the monitoring system.Therefore,designing an effective denoising strategy to enh...Structural health monitoring is widely utilized in outdoor environments,especially under harsh conditions,which can introduce noise into the monitoring system.Therefore,designing an effective denoising strategy to enhance the performance of guided wave damage detection in noisy environments is crucial.This paper introduces a local temporal principal component analysis(PCA)reconstruction approach for denoising guided waves prior to implementing unsupervised damage detection,achieved through novel autoencoder-based reconstruction.Experimental results demonstrate that the proposed denoising method significantly enhances damage detection performance when guided waves are contaminated by noise,with SNR values ranging from 10 to-5 dB.Following the implementation of the proposed denoising approach,the AUC score can elevate from 0.65 to 0.96 when dealing with guided waves corrputed by noise at a level of-5 dB.Additionally,the paper provides guidance on selecting the appropriate number of components used in the denoising PCA reconstruction,aiding in the optimization of the damage detection in noisy conditions.展开更多
Rolling element bearings are machine components used to allow circular movement and hence deliver forces between components of machines used in diverse areas of industry.The likelihood of failure has the propensity of...Rolling element bearings are machine components used to allow circular movement and hence deliver forces between components of machines used in diverse areas of industry.The likelihood of failure has the propensity of increasing under prolonged operation and varying working conditions.Hence, the accurate fault severity categorization of bearings is vital in diagnosing faults that arise in rotating machinery.The variability and complexity of the recorded vibration signals pose a great hurdle to distinguishing unique characteristic fault features.In this paper, the efficacy and the leverage of a pre-trained convolutional neural network(CNN) is harnessed in the implementation of a robust fault classification model.In the absence of sufficient data, this method has a high-performance rate.Initially, a modified VGG16 architecture is used to extract discriminating features from new samples and serves as input to a classifier.The raw vibration data are strategically segmented and transformed into two representations which are trained separately and jointly.The proposed approach is carried out on bearing vibration data and shows high-performance results.In addition to successfully implementing a robust fault classification model, a prognostic framework is developed by constructing a health indicator(HI) under varying operating conditions for a given fault condition.展开更多
ProQues-Health & Medical Complete(医学健康大全)是由美国Bell & Howell Information and Learning公司(原为UMI公司)出版的众多医学全文网络数据库之一,涵盖护理学、内科学、儿科学、神经学、药理学、心脏病学、物理治疗以...ProQues-Health & Medical Complete(医学健康大全)是由美国Bell & Howell Information and Learning公司(原为UMI公司)出版的众多医学全文网络数据库之一,涵盖护理学、内科学、儿科学、神经学、药理学、心脏病学、物理治疗以及新增的公共卫生和卫生管理等学科。本文作者介绍了ProQuest-Health & Medical Complete网络数据库的概况,详细剖析了其不同检索途径即基本检索、高级检索、主题指南、出版物检索的使用方法及检索技巧,并就如何提高查全率及查准率进行了分析,旨在为医疗卫生工作者查找科研资料提供帮助。展开更多
Health management permits the reliability of a system and plays a increasingly important role for achieving efficient system-level maintenance.It has been used for remaining useful life（RUL） prognostics of electroni...Health management permits the reliability of a system and plays a increasingly important role for achieving efficient system-level maintenance.It has been used for remaining useful life（RUL） prognostics of electronics-rich system including avionics.Prognostics and health management（PHM） have become highly desirable to provide avionics with system level health management.This paper presents a health management and fusion prognostic model for avionics system,combining three baseline prognostic approaches that are model-based,data-driven and knowledge-based approaches,and integrates merits as well as eliminates some limitations of each single approach to achieve fusion prognostics and improved prognostic performance of RUL estimation.A fusion model built upon an optimal linear combination forecast model is then utilized to fuse single prognostic algorithm representing the three baseline approaches correspondingly,and the presented case study shows that the fusion prognostics can provide RUL estimation more accurate and more robust than either algorithm alone.展开更多
Soil cadmium(Cd)contamination resulted from mining and smelting is a major environmental concern,and health risk associated with Cd exposure to multi-media through muti-pathway is increasing.Cd concentrations in soils...Soil cadmium(Cd)contamination resulted from mining and smelting is a major environmental concern,and health risk associated with Cd exposure to multi-media through muti-pathway is increasing.Cd concentrations in soils,vegetables and paddy rice were investigated,and potential non-carcinogenic and carcinogenic health risks exposure to Cd were estimated at six villages around the Dabaoshan Mine,South China.A total of 87 soil samples were found to exceed the China's maximum permission level(MPL)for Cd,while the highest value of 4.42 mg/kg was found near irrigation ditch associated with Hengshi River in Xinyi(XY)Village.Cd contents in vegetables and rice exceeded the maximum permissible concentration by more than five times in every village.Cadmium accumulation in plants is in the order of celery>lactuca sativa L>Chinese cabbage>Romaine lettuce>asparagus lettuce>mustard>cabbage mustard>cabbage.The mean hazard quotient(HQ)of all villages is in the range of [5.29,25.75],and the mean values of cancer risk for investigated areas are more than 10 times greater than the USEPA(2009)threshold limit value of 10-4.Moreover,human non-carcinogenic and carcinogenic risks are mainly attributable to paddy rice intake,followed by vegetables intake,soil ingestion,inhalation,and dermal contact.The results indicate that Cd has a huge potential risk on human health for the local residents.展开更多
基金国家自然科学基金面上项目“基于高压人群身心健康的工作环境绿色空间体系研究”(编号51978364)丰田跨学科专项2022“未来城市跨学科研究关键技术集成与示范”(Action Plan for Integrated Demonstration of Key Technologies for Interdisciplinary Research on Future Cities)共同资助。
文摘Statistical Analysis of Radioactivity:Lamprecht Uranium Mine in Texas Mark C.Harvey1 and Nancy L.Glenn Griesinger2(1.Department of Physics,Texas Southern University,Houston,TX 77004;2.Department of Mathematical Sciences,Texas Southern University,Houston,TX 77004)Abstract:The former Lamprecht uranium mine facility in Texas ceased operations well before the new millennium.However,decommissioning activities were never completed by the licensee.Consequently,a legal proceeding was authorized between state and licensee representatives.Meanwhile,state funds were used to hire an independent contractor to perform radiological surveys and assess the magnitude of residual radioactivity across the terrain at the site.The purpose of this study was to apply advanced spatial statistical methods to the survey data measured by contractors at the Lamprecht site to precisely predict remaining radioactive hotspot locations post soil remediation activities.
文摘Evaluation of the Performance of Different Types of Radiation Protection Gloves: A Cross-sectional Study Mitsuyoshi Yasuda1,2 , Syoji Manabu2 , Tomoki Fuji2 , Noritaka Seino3 , Hiroyuki Watanabe1,2 , Hisaya Sato1,4 , Kyoichi Kato1,5 (1. Graduate School of Health Sciences, Showa University, 1865 Tokaichiba, Midori- ku, Yokohama, Kanagawa 226 - 0025, Japan;2. Department of Radiological Technology, Showa University Hospital, 1- 5- 8 Hatanodai, Shinagawa - ku, Tokyo 142 - 8666, Japan;3. Department of Radiology, Showa University, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo 142-8666, Japan;4. Department of Radiology, Showa University Fujigaoka Hospital, 1-30 Fujigaoka Aoba-ku, Yokohama, Kanagawa 227-8501, Japan;5. Department of Radiological Technology, Showa University, Tokyo, Japan)
文摘Health Phys.Abstracts,Volume 126,Number 4Continuing Steady Challenges Involved in the Lifting of Evacuation Orders after the Fukushima Daiichi Nuclear Power Plant Accident Yurie Kobashi1,2,Arifumi Hasegawa2,Shunichi Yamashita1(1.Global Exchange Center,Fukushima Medical University School of Medicine,Fukushima City,Fukushima,Japan;2.Department of Radiation Disaster Medicine,Fukushima Medical University School of Medicine,Fukushima City,Fukushima,Japan).
基金National Science Foundation of Zhejiang under Contract(LY23E010001)。
文摘Structural health monitoring is widely utilized in outdoor environments,especially under harsh conditions,which can introduce noise into the monitoring system.Therefore,designing an effective denoising strategy to enhance the performance of guided wave damage detection in noisy environments is crucial.This paper introduces a local temporal principal component analysis(PCA)reconstruction approach for denoising guided waves prior to implementing unsupervised damage detection,achieved through novel autoencoder-based reconstruction.Experimental results demonstrate that the proposed denoising method significantly enhances damage detection performance when guided waves are contaminated by noise,with SNR values ranging from 10 to-5 dB.Following the implementation of the proposed denoising approach,the AUC score can elevate from 0.65 to 0.96 when dealing with guided waves corrputed by noise at a level of-5 dB.Additionally,the paper provides guidance on selecting the appropriate number of components used in the denoising PCA reconstruction,aiding in the optimization of the damage detection in noisy conditions.
基金supported by the National Natural Science Foundation of China (42027805)National Aeronautical Fund (ASFC-2017 2080005)National Key R&D Program of China (2017YFC03 07100)。
文摘Rolling element bearings are machine components used to allow circular movement and hence deliver forces between components of machines used in diverse areas of industry.The likelihood of failure has the propensity of increasing under prolonged operation and varying working conditions.Hence, the accurate fault severity categorization of bearings is vital in diagnosing faults that arise in rotating machinery.The variability and complexity of the recorded vibration signals pose a great hurdle to distinguishing unique characteristic fault features.In this paper, the efficacy and the leverage of a pre-trained convolutional neural network(CNN) is harnessed in the implementation of a robust fault classification model.In the absence of sufficient data, this method has a high-performance rate.Initially, a modified VGG16 architecture is used to extract discriminating features from new samples and serves as input to a classifier.The raw vibration data are strategically segmented and transformed into two representations which are trained separately and jointly.The proposed approach is carried out on bearing vibration data and shows high-performance results.In addition to successfully implementing a robust fault classification model, a prognostic framework is developed by constructing a health indicator(HI) under varying operating conditions for a given fault condition.
文摘ProQues-Health & Medical Complete(医学健康大全)是由美国Bell & Howell Information and Learning公司(原为UMI公司)出版的众多医学全文网络数据库之一,涵盖护理学、内科学、儿科学、神经学、药理学、心脏病学、物理治疗以及新增的公共卫生和卫生管理等学科。本文作者介绍了ProQuest-Health & Medical Complete网络数据库的概况,详细剖析了其不同检索途径即基本检索、高级检索、主题指南、出版物检索的使用方法及检索技巧,并就如何提高查全率及查准率进行了分析,旨在为医疗卫生工作者查找科研资料提供帮助。
文摘Health management permits the reliability of a system and plays a increasingly important role for achieving efficient system-level maintenance.It has been used for remaining useful life（RUL） prognostics of electronics-rich system including avionics.Prognostics and health management（PHM） have become highly desirable to provide avionics with system level health management.This paper presents a health management and fusion prognostic model for avionics system,combining three baseline prognostic approaches that are model-based,data-driven and knowledge-based approaches,and integrates merits as well as eliminates some limitations of each single approach to achieve fusion prognostics and improved prognostic performance of RUL estimation.A fusion model built upon an optimal linear combination forecast model is then utilized to fuse single prognostic algorithm representing the three baseline approaches correspondingly,and the presented case study shows that the fusion prognostics can provide RUL estimation more accurate and more robust than either algorithm alone.
基金Project(51204074)supported by the National Natural Science Foundation of ChinaProjects(2010009017,201209048,ZX021-201106-031)supported by the National Environmental Protection Public Welfare Industry Targeted Research Fund,China
文摘Soil cadmium(Cd)contamination resulted from mining and smelting is a major environmental concern,and health risk associated with Cd exposure to multi-media through muti-pathway is increasing.Cd concentrations in soils,vegetables and paddy rice were investigated,and potential non-carcinogenic and carcinogenic health risks exposure to Cd were estimated at six villages around the Dabaoshan Mine,South China.A total of 87 soil samples were found to exceed the China's maximum permission level(MPL)for Cd,while the highest value of 4.42 mg/kg was found near irrigation ditch associated with Hengshi River in Xinyi(XY)Village.Cd contents in vegetables and rice exceeded the maximum permissible concentration by more than five times in every village.Cadmium accumulation in plants is in the order of celery>lactuca sativa L>Chinese cabbage>Romaine lettuce>asparagus lettuce>mustard>cabbage mustard>cabbage.The mean hazard quotient(HQ)of all villages is in the range of [5.29,25.75],and the mean values of cancer risk for investigated areas are more than 10 times greater than the USEPA(2009)threshold limit value of 10-4.Moreover,human non-carcinogenic and carcinogenic risks are mainly attributable to paddy rice intake,followed by vegetables intake,soil ingestion,inhalation,and dermal contact.The results indicate that Cd has a huge potential risk on human health for the local residents.
