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Structured information extraction for bone scan image report texts

Journal of Physics: Conference Series 2021年第1期1848卷

作者： Mengge Huang Jingyi Zhang Tao Deng Zhengxing Man Qiang Lin Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education Northwest Minzu University Lanzhou 730030 P. R. China Key Laboratory of Streaming Data Computing Technologies and Application Northwest Minzu University Lanzhou 730030 P. R. China School of Mathematics and Computer Science Northwest Minzu University Lanzhou 730030 P. R. China

Extracting structured information from the bone scan image report text plays a crucial role in supporting clinical analysis and research. This study summarized the structure and characteristics of 3608 bone scan image report text using dictionary-based information extraction method, including data cleaning, entity recognition, building dictionary and extraction rules. This method was used to obtain the structured data of bone scan image report text required for clinical research, and the effect evaluation was carried out on 1000 randomly selected report texts, with the precision rate and recall rate higher than 90%. The method proposed in this study is practical and could have good effect on structured results for bone scan imaging report text.

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Persistent eutrophication and hypoxia in the coastal ocean

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Cambridge Prisms: Coastal Futures 2023年 1卷 e19-e19页

作者： Dai, Minhan Zhao, Yangyang Chai, Fei Chen, Mingru Chen, Nengwang Chen, Yimin Cheng, Danyang Gan, Jianping Guan, Dabo Hong, Yuanyuan Huang, Jialu Lee, Yanting Leung, Kenneth Mei Yee Lim, Phaik Eem Lin, Senjie Lin, Xin Liu, Xin Liu, Zhiqiang Luo, Ya-Wei Meng, Feifei Sangmanee, Chalermrat Shen, Yuan Uthaipan, Khanittha Wan Talaat, Wan Izatul Asma Wan, Xianhui Sean Wang, Cong Wang, Dazhi Wang, Guizhi Wang, Shanlin Wang, Yanmin Wang, Yuntao Wang, Zhe Wang, Zhixuan Xu, Yanping Yang, Jin-Yu Terence Yang, Yan Yasuhara, Moriaki Yu, Dan Yu, Jianmin Yu, Liuqian Zhang, Zengkai Zhang, Zhouling State Key Laboratory of Marine Environmental Science Xiamen University Xiamen China College of Ocean and Earth Sciences Xiamen University Xiamen China Fujian Institute for Sustainable Oceans Xiamen University Xiamen China China-ASEAN College of Marine Sciences Xiamen University Malaysia Sepang Malaysia College of the Environment and Ecology Xiamen University Xiamen China Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies Xiamen University Xiamen China Department of Earth System Science Ministry of Education Key Laboratory for Earth System Modeling Institute for Global Change Studies Tsinghua University Beijing China Thrust of Earth Ocean and Atmospheric Sciences Department of Ocean Science Department of Mathematics The Hong Kong University of Science and Technology Kowloon Hong Kong Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) Zhuhai China School of Biological Sciences Area of Ecology and Biodiversity Swire Institute of Marine Science Institute for Climate and Carbon Neutrality Musketeers Foundation Institute of Data Science State Key Laboratory of Marine Pollution The University of Hong Kong Hong Kong Hong Kong State Key Laboratory of Marine Pollution and Department of Chemistry City University of Hong Kong Hong Kong Hong Kong Institute of Ocean and Earth Sciences University of Malaya Kuala Lumpur Malaysia Department of Marine Sciences University of Connecticut Groton CT United States Department of Ocean Science and Engineering Southern University of Science and Technology Shenzhen China Marine and Coastal Resources Research and Development Institute Department of Marine and Coastal Resources Bangkok Thailand Institute of Oceanography and Environment Universiti Malaysia Terengganu Kuala Terengganu Malaysia Department of Geosciences Princeton University Princeton NJ United States State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of Oceanography Ministry of Natural Resour

Coastal eutrophication and hypoxia remain a persistent environmental crisis despite the great efforts to reduce nutrient loading and mitigate associated environmental damages. Symptoms of this crisis have appeared to spread rapidly, reaching developing countries in Asia with emergences in Southern America and Africa. The pace of changes and the underlying drivers remain not so clear. To address the gap, we review the up-To-date status and mechanisms of eutrophication and hypoxia in global coastal oceans, upon which we examine the trajectories of changes over the 40 years or longer in six model coastal systems with varying socio-economic development statuses and different levels and histories of eutrophication. Although these coastal systems share common features of eutrophication, site-specific characteristics are also substantial, depending on the regional environmental setting and level of social-economic development along with policy implementation and management. Nevertheless, ecosystem recovery generally needs greater reduction in pressures compared to that initiated degradation and becomes less feasible to achieve past norms with a longer time anthropogenic pressures on the ecosystems. While the qualitative causality between drivers and consequences is well established, quantitative attribution of these drivers to eutrophication and hypoxia remains difficult especially when we consider the social economic drivers because the changes in coastal ecosystems are subject to multiple influences and the cause-effect relationship is often non-linear. Such relationships are further complicated by climate changes that have been accelerating over the past few decades. The knowledge gaps that limit our quantitative and mechanistic understanding of the human-coastal ocean nexus are identified, which is essential for science-based policy making. Recognizing lessons from past management practices, we advocate for a better, more efficient indexing system of coastal eutrophica

关键词： eutrophication harmful algal bloom hypoxia regime shift socioeconomic-ecological system

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Collaborative filtering recommendation algorithm integrating user similarity and trust

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Journal of Physics: Conference Series 2021年第1期2010卷

作者： Mengge Huang Kai Cao Jingyi Zhang Chuanlin Zhang Tao Deng Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education Northwest Minzu University Lanzhou 730030 P. R. China Key Laboratory of Streaming Data Computing Technologies and Application Northwest Minzu University Lanzhou 730030 P. R. China School of Mathematics and Computer Science Northwest Minzu University Lanzhou 730030 P. R. China

The rapid development of the Internet has brought convenience to people and has also produced the problem of 'information overload'. In view of the traditional collaborative filtering algorithm facing some bottlenecks to be solved, this study proposes a collaborative filtering algorithm that combines similarity and trust. First of all, in view of the large deviation of traditional similarity calculation and prediction of user ratings, this study proposes an optimized Pearson correlation coefficient calculation method; secondly, the trust relationship is established based on the user's rating of the common project, and the trust relationship between users who do not have a direct trust relationship is established through the transfer of trust; then find the nearest neighbor set of the target user through the fusion of user similarity and trust; finally, the item is scored and predicted to generate a recommendation list. Experimental results show that the algorithm proposed in this study can effectively improve the accuracy of recommendation.

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Effect of respiratory microflorae colonization on short and long-time outcomes of respiratory syncytial virus infection in children: A scoping review

Pediatric Discovery

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Pediatric Discovery 2024年第4期2卷

作者： Lidan Gan Enmei Liu Yu Deng Department of Respiratory Medicine Children's Hospital of Chongqing Medical University Chongqing China Ministry of Education Key Laboratory of Child Development and Disorders Children's Medical Big Data Intelligent Application Center Department of Respiratory Medicine Chongqing China National Clinical Research Center for Child Health and Disorders Chongqing China

Respiratory syncytial virus (RSV) is an essential cause of lower respiratory tract infection in children under 2 years of age, especially under 6 months. In decades, studies have shown that the respiratory tract microflorae with RSV infection were related to disease severity and played a role in the development of recurrent wheezing, but the effect of respiratory microflorae on RSV infection are still underestimated. This study aims to conclude the effect of respiratory microflorae colonization on RSV infectious disease severity and recurrent wheezing and provide suggestions for future research directions from the perspective of respiratory tract florae. We conducted a scoping review. Studies were eligible if they reported on the effect of microflorae on RSV infectious diseases among children. We exacted the following information: title, publication time, first author's country, and article type. We finally included 33 articles in this scoping review. The number of studies rapidly increased since 2013 and the highest number of hospitalizations were reported in children <2 years. More than half (69.70%) were conducted in America and most studies are original studies (57.58%). The Review highlighted that the respiratory microflorae played an important role in RSV infectious disease severity and recurrent wheezing. We found that Streptococcus pneumoniae (***), Haemophilus influenza (HI), Moraxella catarrhalis (***), and Staphylococcus aureus (SA) were the dominant profiles in children with RSV infection. Understanding the respective role of respiratory microflorae on RSV infection and its mechanisms would improve prevention and treatment strategies from the perspective of microflorae.

关键词： childhood asthma disease severity microflorae recurrent wheezing respiratory syncytial virus

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DisCANTree: A Distributed Algorithm for Incremental Frequent Itemset Mining based on MapReduce

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Journal of Physics: Conference Series 2020年第1期1682卷

作者： Wen Xiao Juan Hu Key Laboratory of Unmanned Aerial Vehicle Development & Data Application of Anhui Higher Education Institutes Wanjiang University of Technology Maanshan 243000 China Ma'anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense Wanjiang University of Technology Maanshan 243000 China

Frequent itemset mining is one of the most important data mining tasks. Classical frequent itemset mining algorithms need to store data in a centralized way and run in a batch way, which cannot meet the requirements of fast updating big data mining. In this paper, we propose a distributed incremental frequent itemset mining algorithm, DisCANTree, which uses CANTree to store the conditional database, achieves the load balance between nodes by grouping all items, updates the new transaction to the existing CANTree to avoid the load of tree reconstruction, and uses the efficient FPGrowth algorithm to mine CANTree to generate frequent itemsets. The popular distributed programming model MapReduce and its open source system Hadoop are used to implement the DisCANTree algorithm. The experimental results show that the DisCANTree algorithm has more advantages than the most popular PFP algorithm in performance as well as the number of transferred records between nodes, and especially suits for the fast updating sparse big data.

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The 2nd International Conference on Agricultural and Biological Sciences (ABS 2016)

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BMC Plant Biology 2016年第2期16卷 83-88页

作者： Lei Pei Zhenhua Wang Jinzhu Zhang Wenhao Li Adeline S. Y. Ting Yiing Y. Chow Sadequr Rahman Rongchang Wei Zhang Hu Sidong Li Chuyan Li Zijuan Li Guoxia Wang Yuzhen Yang Gang Chen Qing Luo Ruixia Liu Lipei Chen Zhiyang Lie Tongtong Zhou Weilong Huang Li Xue Jie Li Zhuomin Wang Ismail Bezirganoglu Pınar Uysal Shuihua Wang Zhihai Lu Jiquan Yang Yudong Zhang John Liu Ling Wei Shufang Chen Preetha Phillips Zhengchao Dong Hong Li Xutong Wang Fengliang Zhao Guisheng Yang Haijie Huang Weijian Huang Jinhui Wang Zhongrun Zhang Li Zhao Xiaojuan Li Ning Xu Guofu Zhou Ming Wan Fanyun Meng Jianxiu Li Qi Lin Yichang Chen Koayung Yu Chunpin Chang Zijuan Zhou Peixi Su Rui Shi Tingting Xie Xuelan Liu Yan Zhang Xiangfa Wei Chong Wu Yanlei Yin Lijuan Feng Xuemei Yang Fei Wang Hua Wang Huifa Zhuang Zihui Zhu Hui Wang College of Water & Architectural Engineering Shihezi University Shihezi City 832000 Xinjiang China Key Laboratory of Modern Water-Saving Irrigation Corp Shihezi University Shihezi City 832000 Xinjiang China School of Science Monash University Malaysia Jalan Lagoon Selatan 46150 Bandar Sunway Selangor Malaysia Guangxi Botanical Garden of Medicinal Plants Nanning Guangxi Province 530023 China Department of Chemistry College of Science Guangdong Ocean University Zhanjiang 524088 China School of Life Science Zhengzhou Normal University Zhengzhou 450044 China College of Forestry and Landscape Architecture South China Agricultural University Guangzhou 510642 China Deparment of Molecular Biology and Genetic Erzurum Technical University Erzurum 442 Turkey Ministry of Food Agriculture and Husbandry Eastern Anatolia Agriculture Research Institute Erzurum 442 Turkey Nanjing Normal University Nanjing Jiangsu 210023 China Key laboratory of symbolic computation and knowledge engineering of ministry of education Jilin University Changchun Jilin 130012 China Michigan State University East Lansing MI 48823 USA Shanghai Jiaotong University Shanghai 200030 China University of Electronic Science and Technology of China Chengdu Sichuan 611731 China Shepherd University Shepherdstown WV 25443 USA West Virginia University Morgantown WV 26505 USA New York State Psychiatric Institute New York NY 10032 USA Environment and Plant Protection Institute Chinese Academy of Tropical Agricultural Science Haikou Hainan 571101 China Tropical Crops Genetic Resources Institute CATAS Danzhou 571737 China College of Applied Science and Technology Hainan University Danzhou 571737 China Beijing Area Major Laboratory of Protection and Utilization of Traditional Chinese Medicine Beijing Normal University Beijing 100875 China State Key Laboratory Breeding Base of Dao-di Herbs National Resource Center for Chinese Materia Medica China Academy of Chinese Medical Science

01 The influence of soil salt content on the photosynthetic characteristics of spring wheat with trickle irrigationLei Pei, Zhenhua Wang, Jinzhu Zhang, Wenhao Li02 Comparing growth of fast-growing and slow-growing end... 详细信息

01 The influence of soil salt content on the photosynthetic characteristics of spring wheat with trickle irrigation

Lei Pei, Zhenhua Wang, Jinzhu Zhang, Wenhao Li

02 Comparing growth of fast-growing and slow-growing endophytes in plants via ergosterol quantification

Adeline SY Ting, Yiing Y Chow, Sadequr Rahman

03 Transcriptome and digital gene expression analysis identifies putative triterpene saponin-biosynthetic genes of Panax notoginseng

Rongchang Wei

04 Chitosan-assisted isolation and antioxidant evaluation of flavonoids from Sophora japonica L.

Zhang Hu, Sidong Li, Chuyan Li, Zijuan Li

05 Two kinds of new characteristics of the ektexine ornamentation of ginkgo pollen

Guoxia Wang, Yuzhen Yang, Gang Chen, Qing Luo

06 Analysis of nutrient and medicinal ingredients of Ginkgo pollen in different regions

Guoxia Wang, Ruixia Liu, Yuzhen Yang, Lipei Chen

07 Photosynthetic performance of greening seedlings of seven species to drought stress

Zhiyang Lie, Tongtong Zhou, Weilong Huang, Li Xue

08 Changes of fluorescence parameters of greening seedlings of seven species under drought stress

Jie Li, Zhuomin Wang, Li Xue

09 Mammalian sex hormone affects regeneration capacity and enzymes activity of Triticale L in vitro culture

Ismail Bezirganoglu, Pınar Uysal

10 Fractional Fourier entropy increases the recognition rate of fruit type detection

Shuihua Wang, Zhihai Lu, Jiquan Yang, Yudong Zhang, John Liu, Ling Wei, Shufang Chen, Preetha Phillips, Zhengchao Dong

11 Banana-peanut intercropping reduces Fusarium wilt disease in banana from enhancing soil bacterial microorganisms and leaf nutrition

Hong Li, Xutong Wang, Fengliang Zhao, Guisheng Yang

12 Manganese stress impairs stem ureide nitrogen fixation in yardlong-bean plants in the acidic environment

Hong Li

13 A new

关键词： Spring Wheat Vanilla Panax Notoginseng Soil Salt Content Digital Gene Expression Analysis

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Efficient Conversion of Biomass to Formic Acid Coupled with Low Energy Consumption Hydrogen Production from Water Electrolysis

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Angewandte Chemie 2023年第30期135卷

作者： Dr. Wensi Tang Dr. Lunan Zhang Dr. Tianyu Qiu Prof. Huaqiao Tan Prof. Yonghui Wang Dr. Wei Liu Prof. Yangguang Li Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education Faculty of Chemistry Northeast Normal University Changchun Jilin 130024 China Contribution: Data curation (lead) Formal analysis (lead) Writing - original draft (equal) Writing - review & editing (equal) School of Chemistry and Chemical Engineering Yangzhou University Yangzhou 225002 China School of Chemistry and Chemical Engineering Central South University Changsha 410083 China

The development of a new electrolytic water hydrogen production coupling system is the key to realize efficient and low-cost hydrogen production and promote its practical application. Herein, a green and efficient electrocatalytic biomass to formic acid (FA) coupled hydrogen production system has been developed. In such a system, carbohydrates such as glucose are oxidized to FA using polyoxometalates (POMs) as the redox anolyte, while H 2 is evolved continuously at the cathode. Among them, the yield of glucose to FA is as high as 62.5 %, and FA is the only liquid product. Furthermore, the system requires only 1.22 V to drive a current density of 50 mA cm −2 , and the Faraday efficiency of hydrogen production is close to 100 %. Its electrical consumption is only 2.9 kWh Nm −3 (H 2 ), which is only 69 % of that of traditional electrolytic water. This work opens up a promising direction for low-cost hydrogen production coupled with efficient biomass conversion.

关键词： Electrocatalysis Formic Acid Glucose Hydrogen Production Polyoxometalates

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Capturing Doublet Intermediate Emitters by Chemically Crosslinking Confinement towards Spatiotemporal Encryption

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Angewandte Chemie 2023年第1期136卷

作者： Haomin Li Dr. Huanyu Lei Dr. Shudeng Ma Dr. Tianfu Song Prof. Dr. Yan Li Prof. Dr. Haifeng Yu School of Materials Science and Engineering Beijing Advanced Innovation Centre for Biomedical Engineering Beihang University Beijing 100191 China School of Materials Science and Engineering Key Laboratory of Polymer Chemistry and Physics of Ministry of Education Peking University Beijing 100871 China Contribution: Conceptualization (lead) Data curation (lead) Software (lead) Writing - original draft (lead) South China Advanced Institute for Soft Matter Science and Technology School of Molecular Science and Engineering South China University of Technology Guangzhou 510641 China Contribution: Data curation (supporting) Software (supporting) Contribution: Conceptualization (supporting) Data curation (supporting) Formal analysis (supporting) Contribution: Conceptualization (supporting) Formal analysis (supporting) Writing - review & editing (supporting) Contribution: Supervision (equal) Writing - review & editing (equal)

Photoluminescence is one of the most meticulous ways to manipulate light energy. Typical photoluminescent emitters are mostly stable substances with a pure photophysical process of spontaneous photon-emission from their excited states. Intermediate emitters are elusive attributing to their synchronous energy transfer process including photophysical and incomplete photochemical pathways. An intermediate emitter containing radicals is more difficult to be observed due to its inherent chemical reactivity. Here, these challenges are overcome by spontaneously formed space limitations in polymer crosslinking networks meanwhile chemically active intermediates are captured. These doublet intermediates exhibit unique long-wavelength emissions under chemically crosslinking confinement conditions, and their luminous mechanism provides a novel perspective for designing intermediate emitters with liquid-crystal character and photoresponsive features towards spatiotemporal encryption, promising for the detection of photochemical reactions and the development of fascinating luminescent systems.

关键词： Aggregation Encryption Liquid Crystal Network Luminescence Radical Intermediate

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Skill Assessment of North American Multi-Models Ensemble (NMME) for June-September (JJAS) Seasonal Rainfall over Ethiopia

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Atmospheric and Climate Sciences 2022年第1期12卷 54-73页

作者： Asaminew Teshome Jie Zhang Qianrong Ma Stephen E. Zebiak Teferi Demissie Tufa Dinku Asher Siebert Jemal Seid Nachiketa Acharya National Meteorological Agency of Ethiopia Addis Ababa Ethiopia Key Laboratory of Meteorological Disaster Ministry of Education (KLME)/International Joint Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD) Nanjing University of Information Science & Technology (NUIST) Nanjing China International Research Institute for Climate and Society (IRI) The Earth Institute Columbia University New York USA NORCE Norwegian Research Center Bjerknes Center for Climate Research Bergen Norway CGIAR Research Program on Climate Change Agriculture and Food Security (CCAFS) East Africa Addis Ababa Ethiopia Ethiopian Institute of Agricultural Research Addis Ababa Ethiopia Scuola Superiore Sant’Anna Pisa Italy Center for Earth System Modeling Analysis and Data Department of Meteorology and Atmospheric Science Pennsylvania State University University Park PA USA

In recent years, there has been increasing demand for high-resolution seasonal climate forecasts at sufficient lead times to allow response planning from users in agriculture, hydrology, disaster risk management, and health, among others. This paper examines the forecasting skill of the North American Multi-model Ensemble (NMME) over Ethiopia during the June to September (JJAS) season. The NMME, one of the multi-model seasonal forecasting systems, regularly generates monthly seasonal rainfall forecasts over the globe with 0.5 - 11.5 months lead time. The skill and predictability of seasonal rainfall are assessed using 28 years of hindcast data from the NMME models. The forecast skill is quantified using canonical correlation analysis (CCA) and root mean square error. The results show that the NMME models capture the JJAS seasonal rainfall over central, northern, and northeastern parts of Ethiopia while exhibiting weak or limited skill across western and southwestern Ethiopia. The performance of each model in predicting the JJAS seasonal rainfall is variable, showing greater skill in predicting dry conditions. Overall, the performance of the multi-model ensemble was not consistently better than any single ensemble member. The correlation of observed and predicted seasonal rainfall for the better performing models—GFDL-CM2p5-FLOR-A06, CMC2-CanCM4, GFDL-CM2p5-FLOR-B01 and NASA-GMAO-062012—is 0.68, 0.58, 0.52, and 0.5, respectively. The COLA-RSMAS-CCSM4, CMC1- CanCM3 and NCEP-CFSv2 models exhibit less skill, with correlations less than 0.4. In general, the NMME offers

关键词： Ethiopia Ensemble June-September Correlation Coefficient Skill

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Erratum to: A developed soil column test device for measuring the electrical conductivity breakthrough curves

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Environmental Earth Sciences 2015年第10期73卷 6725-6725页

作者： Kim, Yongsung Dong, Xiaoqiang Woo, Heesoo Park, Junboum Knowledge Development and Management Global Green Growth Institute (GGGI) Seoul South Korea College of Architecture and Civil Engineering Taiyuan University of Technology Taiyuan China Key Laboratory of Coal Science and Technology Ministry of Education and Shanxi Province Taiyuan China Department of Civil and Environmental Engineering Seoul National University Seoul South Korea

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