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Elements’ important ranking of China drug safety management system: applying the non-structural

Xiaoping ZHENG, Xiaocui WANG, Tingkuan ZHONG,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 3,   Pages 290-299 doi: 10.1007/s11705-009-0283-5

Abstract: Drug safety management is an important issue in China drug management system and attracts great attentionsIn order to reduce drug incident, this study discusses some important elements associated with ChinaBesides, a methodology for rating the important elements is described and applied.The results indicate that the sample systems are the most important in these important elements, andThis study not only points out the important ranking of the pivotal elements in China drug safety management

Keywords： management system     different     management     important ranking     non-structural fuzzy    

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Identification and ranking of the risky organic contaminants in the source water of the Danjiangkou reservoir

Qingwei BU, Donghong WANG, Zijian WANG, Junnong GU

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1,   Pages 42-53 doi: 10.1007/s11783-013-0499-y

Abstract: The Danjiangkou reservoir was selected to provide the source water for the middle routes of the South to North Water Transfer Project, which has provoked many environmental concerns. To date, investigations of water contamination of the source water of the Danjiangkou reservoir with organic micro-pollutants have been limited. This study was conducted to identify and rank organic contaminants that pose risks in the Danjiangkou reservoir. To this end, the Chemical Hazard Evaluation and Management Strategies (CHEMS-1) approach was adapted to integrate the deconvolution technology of qualitative identifying contaminants for site-specific environmental matrices. The samples were screened for the presence of 1093 contaminants using deconvolution technologies and the hazard values of the identified contaminants were calculated using the adapted CHEMS-1 approach according to their hazardous properties and occurrence in source water. The results showed that 46 contaminants from 1093 targets were present in Danjiangkou water, 23 of which appeared at frequencies higher than 50%, and 15 of which were identified as priorities. Over half (53%) of the high-ranked contaminants were polycyclic aromatic hydrocarbons (PAHs), with chrysene ranked highest on the list. Health risk assessment of the top-ranked PAHs was conducted and revealed that cancer risks of PAHs detected in the source water of Danjiangkou to different populations ranged from 10 to 10 , indicating a low cancer risk to consumers. The results of this study indicated that the adapted CHEMS-1 approach was feasible for site-specific screening of organic contaminants to identify and rank potential priority pollutants.

Keywords： identification and ranking     source water     deconvolution     risk assessment     Danjiangkou     South to North Water    

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Review on ranking and selection: A new perspective

L. Jeff HONG, Weiwei FAN, Jun LUO

Frontiers of Engineering Management 2021, Volume 8, Issue 3,   Pages 321-343 doi: 10.1007/s42524-021-0152-6

Abstract: In this paper, we briefly review the development of ranking and selection (R&S) in the past 70 years,discuss the use of R&S procedures in solving various practical problems and propose what we think are the important

Keywords： ranking and selection     hypothesis testing     dynamic programming     simulation    

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Phenomena identification and ranking table exercise for thorium based molten salt reactor-solid fuel

Xiaojing LIU, Qi WANG, Zhaozhong HE, Kun CHEN, Xu CHENG

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 707-714 doi: 10.1007/s11708-019-0616-0

Abstract: Thorium based molten salt reactor-solid fuel (TMSR-SF) design is an innovative reactor concept that uses high-temperature tristructural-isotropic (TRISO) fuel with a low-pressure liquid salt coolant. In anticipation of getting licensed applications for TMSR-SF in the future, it is necessary to fully understand the significant features and phenomena of TMSR-SF design, as well as its transient behavior during accidents. In this paper, the safety-relevant phenomena, importance, and knowledge base were assessed for the selected events and the transient of TMSR-SF during station blackout scenario is simulated based on RELAP/SCDAPSIM Mod 4.0. The phenomena having significant impact but with limited knowledge of their history are core coolant bypass flows, outlet plenum flow distribution, and intermediate heat exchanger (IHX) over/under cooling transients. Some thermal hydraulic parameters during the station blackout scenario are also discussed.

Keywords： phenomena identification and ranking table (PIRT)     thorium based molten salt reactor-solid fuel (TMSR-SF    

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Affective rating ranking based on face images in arousal-valence dimensional space None

Guo-peng XU, Hai-tang LU, Fei-fei ZHANG, Qi-rong MAO

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6,   Pages 783-795 doi: 10.1631/FITEE.1700270

Abstract: The aforementioned methods do not focus on taking advantage of this important information.Therefore, we propose an affective rating ranking framework for affect recognition based on face imagesdatabase of the AVEC 2015 Challenge and the selected subset of SEMAINE database, we find that our ordinal ranking

Keywords： Ordinal ranking     Dimensional affect recognition     Valence     Arousal     Facial image processing    

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Presentation of machine learning methods to determine the most important factors affecting road traffic

Hamid MIRZAHOSSEIN; Milad SASHURPOUR; Seyed Mohsen HOSSEINIAN; Vahid Najafi Moghaddam GILANI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 657-666 doi: 10.1007/s11709-022-0827-z

Abstract: The purpose of this research was to develop statistical and intelligent models for predicting the severity of road traffic accidents (RTAs) on rural roads. Multiple Logistic Regression (MLR) was used to predict the likelihood of RTAs. For more accurate prediction, Multi-Layer Perceptron (MLP) and Radius Basis Function (RBF) neural networks were applied. Results indicated that in MLR, the model obtained from the backward method with the correct percent of 84.7% and R2 value of 0.893 was the best method for predicting the likelihood of RTAs. Also, MLR showed that the variables of not paying attention to the front not paying attention to the frontroad ahead, followed byand then vehicle-motorcycle/bike accidents were the greatest problems. Among the models, MLP had a better performance, so that the prediction accuracy of MLR, MLP, and RBF were 84.7%, 96.7%, and 92.1%, respectively. MLP model, due to higher accuracy, showed that the variable of reason of accident had the highest effect on the prediction of accidents, and considering MLR results, the variables of not paying attention to the front and then vehicle-motorcycle/bike accidents had the most influence on the occurrence of accidents. Therefore, motorcyclists and cyclists are more prone to accidents, and appropriate solutions should be adopted to enhance their safety.

Keywords： safety     rural accidents     multiple logistic regression     artificial neural networks    

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Genomic regions under selection for important traits in domestic horse breeds

Xuexue LIU, Yuehui MA, Lin JIANG

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3,   Pages 289-294 doi: 10.15302/J-FASE-2017155

Abstract: studies and genome wide analyses to identify the genomic regions targeted by positive selection for four important

Keywords： horse     coat color     racing performance     gait     height    

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Recent advances in understanding genetic variants associated with economically important traits in sheep

Song-Song XU, Meng-Hua LI

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3,   Pages 279-288 doi: 10.15302/J-FASE-2017151

Abstract: Sheep are one of the most economically important domesticated animals for human society.Additionally, comprehensive information on functional genes and genetic variants associated with economically important

Keywords： sheep     high-throughput screening     productive traits     genome-wide studies    

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Five important issues in the present field of knowledge discovery

Yang Bingru

Strategic Study of CAE 2009, Volume 11, Issue 4,   Pages 76-83

Abstract:

In this paper, the author summarized and proposed five important issuesin the present field of knowledge discovery and data mining, which comprise two important core issues, two conjectures, challenge issues in mainstream development, important issues of relevant fields in

Keywords： important core issues in KD     conjectures in KD     challenge issues in KD     protein secondary structure prediction    

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Clinical factors associated with composition of lung microbiota and important taxa predicting clinical

Frontiers of Medicine 2022, Volume 16, Issue 3,   Pages 389-402 doi: 10.1007/s11684-021-0856-3

Abstract: Few studies have described the key features and prognostic roles of lung microbiota in patients with severe community-acquired pneumonia (SCAP). We prospectively enrolled consecutive SCAP patients admitted to ICU. Bronchoscopy was performed at bedside within 48 h of ICU admission, and 16S rRNA gene sequencing was applied to the collected bronchoalveolar lavage fluid. The primary outcome was clinical improvements defined as a decrease of 2 categories and above on a 7-category ordinal scale within 14 days following bronchoscopy. Sixty-seven patients were included. Multivariable permutational multivariate analysis of variance found that positive bacteria lab test results had the strongest independent association with lung microbiota (R2=0.033; P=0.018), followed by acute kidney injury (AKI; R2=0.032; P=0.011) and plasma MIP-1β level (R2=0.027; P=0.044). Random forest identified that the families Prevotellaceae, Moraxellaceae, and Staphylococcaceae were the biomarkers related to the positive bacteria lab test results. Multivariable Cox regression showed that the increase in α-diversity and the abundance of the families Prevotellaceae and Actinomycetaceae were associated with clinical improvements. The positive bacteria lab test results, AKI, and plasma MIP-1β level were associated with patients’ lung microbiota composition on ICU admission. The families Prevotellaceae and Actinomycetaceae on admission predicted clinical improvements.

Keywords： severe community-acquired pneumonia     lung microbiota     clinical improvements     7-category ordinal scale     Prevotellaceae    

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Sclerosing cholangitis in critically ill patients: an important and easily ignored problem based on a

Ting Lin, Kai Qu, Xinsen Xu, Min Tian, Jie Gao, Chun Zhang, Ying Di, Yuelang Zhang, Chang Liu

Frontiers of Medicine 2014, Volume 8, Issue 1,   Pages 118-126 doi: 10.1007/s11684-014-0306-6

Abstract:

Intensive care unit (ICU) is important in the rehabilitation of critically ill patients.

Keywords： intensive care unit     sclerosing cholangitis     ischemic injury     prognosis     systemic review    

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Ranking of design scenarios of TMD for seismically excited structures using TOPSIS

Sadegh ETEDALI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1372-1386 doi: 10.1007/s11709-020-0671-y

Abstract: A technique for order performance by similarity to ideal solution (TOPSIS) is utilized for ranking theFurthermore, H of the displacement vector of the structure exhibited optimum ranking among the adoptedThe findings of this study can be useful and important in the optimum design of TMD parameters with respect

Keywords： seismic-excited building     TMD     optimum design     PSO     design scenario     TOPSIS    

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Contact of surfaces and contact characteristics of offset surfaces

CAO Lixin, GONG Hu, LIU Jian

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 318-324 doi: 10.1007/s11465-008-0067-5

Abstract: research such as optimization of cutter location and calculation of the geometrical cusp height are importantThe research results indicate that the relative normal curvature is an important geometrical invariant

Keywords： relative     important geometrical     relationship     geometrical invariant     calculation    

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Screening of textile finishing agents available on the Chinese market: An important source of per- and

Mehvish Mumtaz, Yixiang Bao, Wenchao Li, Lingxiao Kong, Jun Huang, Gang Yu

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 5, doi: 10.1007/s11783-019-1145-0

Abstract: This has been regarded as an important emission source of per-and polyfluoroalkyl substances (PFASs)

Keywords： Textile finishing agents     Kendrick mass defect     Total oxidizable precursor assay    

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Identification of genome regions and important variations associated with expression level of

Ye HOU,Lu JING,Yunxia ZHAO,Sheng WANG,An LIU,Shuhong ZHAO,Xinyun LI

Frontiers of Agricultural Science and Engineering 2015, Volume 2, Issue 3,   Pages 237-241 doi: 10.15302/J-FASE-2015057

Abstract: Meat quality is one of the most important economic traits in pig breeding.

Keywords： pig     IMF     pH     MYH1     MYH2     MYH4    

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Title Author Date Type Operation

Elements’ important ranking of China drug safety management system: applying the non-structural

Xiaoping ZHENG, Xiaocui WANG, Tingkuan ZHONG,

Journal Article

Identification and ranking of the risky organic contaminants in the source water of the Danjiangkou reservoir

Qingwei BU, Donghong WANG, Zijian WANG, Junnong GU

Journal Article

Review on ranking and selection: A new perspective

L. Jeff HONG, Weiwei FAN, Jun LUO

Journal Article

Phenomena identification and ranking table exercise for thorium based molten salt reactor-solid fuel

Xiaojing LIU, Qi WANG, Zhaozhong HE, Kun CHEN, Xu CHENG

Journal Article

Affective rating ranking based on face images in arousal-valence dimensional space

Guo-peng XU, Hai-tang LU, Fei-fei ZHANG, Qi-rong MAO

Journal Article

Presentation of machine learning methods to determine the most important factors affecting road traffic

Hamid MIRZAHOSSEIN; Milad SASHURPOUR; Seyed Mohsen HOSSEINIAN; Vahid Najafi Moghaddam GILANI

Journal Article

Genomic regions under selection for important traits in domestic horse breeds

Xuexue LIU, Yuehui MA, Lin JIANG

Journal Article

Recent advances in understanding genetic variants associated with economically important traits in sheep

Song-Song XU, Meng-Hua LI

Journal Article

Five important issues in the present field of knowledge discovery

Yang Bingru

Journal Article

Clinical factors associated with composition of lung microbiota and important taxa predicting clinical

Journal Article

Sclerosing cholangitis in critically ill patients: an important and easily ignored problem based on a

Ting Lin, Kai Qu, Xinsen Xu, Min Tian, Jie Gao, Chun Zhang, Ying Di, Yuelang Zhang, Chang Liu

Journal Article

Ranking of design scenarios of TMD for seismically excited structures using TOPSIS

Sadegh ETEDALI

Journal Article

Contact of surfaces and contact characteristics of offset surfaces

CAO Lixin, GONG Hu, LIU Jian

Journal Article

Screening of textile finishing agents available on the Chinese market: An important source of per- and

Mehvish Mumtaz, Yixiang Bao, Wenchao Li, Lingxiao Kong, Jun Huang, Gang Yu

Journal Article

Identification of genome regions and important variations associated with expression level of

Ye HOU,Lu JING,Yunxia ZHAO,Sheng WANG,An LIU,Shuhong ZHAO,Xinyun LI

Journal Article