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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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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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Identification of important factors influencing nonlinear counting systems Research Article

Xinmin ZHANG, Jingbo WANG, Chihang WEI, Zhihuan SONG,xinminzhang@zju.edu.cn,wangjingbobo@zju.edu.cn,chhwei@zju.edu.cn,songzhihuan@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1,   Pages 123-133 doi: 10.1631/FITEE.2000324

Abstract: Identifying factors that exert more influence on system output from data is one of the most challenging

Keywords： Important factors     Nonlinear counting system     Generalized Gaussian process regression     Sensitivity analysis    

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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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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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Meta-analysis of the risk factors of breast cancer concerning reproductive factors and oral contraceptive

Qiong DAI MD, Bei LIU MD, Yukai DU MM,

Frontiers of Medicine 2009, Volume 3, Issue 4,   Pages 452-458 doi: 10.1007/s11684-009-0080-z

Abstract: The authors performed a meta-analysis of case-control studies that addressed whether reproductive factorsbreast cancer risk while breast-feeding and number of full-term pregnancies ≥1 are protective factors

Keywords： meta-analysis     breast cancer     risk factors     reproductive factors     oral contraceptive use    

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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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Risk factors of prognosis after acute kidney injury in hospitalized patients

Sasa Nie, Zhe Feng, Lihua Xia, Jiuxu Bai, Fenglin Xiao, Jian Liu, Li Tang, Xiangmei Chen

Frontiers of Medicine 2017, Volume 11, Issue 3,   Pages 393-402 doi: 10.1007/s11684-017-0532-9

Abstract:

The risk factors, especially laboratory indicators, of prognosis after acute kidney injury (AKI) remainThe epidemiological features and factors influencing hospital mortality and renal function recovery wereIncreased AKI stage, tumor disease, post-cardiopulmonary resuscitation, and RRT were the risk factorsIn addition to traditional risk factors, white blood cell count, platelet count, albumin, and BMI wereNo laboratory indicators were found to be the risk factors of renal function recovery in AKI patients

Keywords： acute kidney injury     risk factors     prognosis    

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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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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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Factors affecting the distribution of microplastics in soils of China

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 9, doi: 10.1007/s11783-023-1710-4

Abstract:

● Microplastic (MP) abundance in soil of China was highly heterogeneous.

Keywords： Microplastic distribution     Microplastic heterogeneity     Effecting factors     Agriculture     Socio-economicfactors    

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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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Epidemic obesity in children and adolescents: risk factors and prevention

Eun Young Lee, Kun-Ho Yoon

Frontiers of Medicine 2018, Volume 12, Issue 6,   Pages 658-666 doi: 10.1007/s11684-018-0640-1

Abstract: Moreover, the epidemic of obesity in this population has been an important public health problem in developedintake and physical activity is a principal cause of childhood and adolescent obesity, environmental factorsare exclusively important for development of obesity among children and adolescents.In addition to genetic and biological factors, socioenvironmental factors, including family, school,The complexity of risk factors for developing obesity among children and adolescents leads to difficulty

Keywords： obesity     children     adolescents     epidemiology     risk factor     prevention    

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CRITICAL PROCESSES AND MAJOR FACTORS THAT DRIVE NITROGEN TRANSPORT FROM FARMLAND TO SURFACE WATER BODIES

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4,   Pages 541-552 doi: 10.15302/J-FASE-2023518

Abstract:

Agricultural non-point source pollution is increasingly an important issue affecting surface waterThe present study systematically reviewed the critical processes and major factors that nitrogen transportThe factors affecting nitrogen transformation in river/ditches can be placed in four categories: (1)factors affecting hydraulic retention time, (2) factors affecting contact area, (3) factors affectingDitch systems are more biologically (including plants and microbes) active than rivers with biological factors

Keywords： nitrogen     loss from soil     transformation     farm field scale     watershed scale    

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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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Title Author Date Type Operation

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

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

Journal Article

Identification of important factors influencing nonlinear counting systems

Xinmin ZHANG, Jingbo WANG, Chihang WEI, Zhihuan SONG,xinminzhang@zju.edu.cn,wangjingbobo@zju.edu.cn,chhwei@zju.edu.cn,songzhihuan@zju.edu.cn

Journal Article

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

Xiaoping ZHENG, Xiaocui WANG, Tingkuan ZHONG,

Journal Article

Genomic regions under selection for important traits in domestic horse breeds

Xuexue LIU, Yuehui MA, Lin JIANG

Journal Article

Meta-analysis of the risk factors of breast cancer concerning reproductive factors and oral contraceptive

Qiong DAI MD, Bei LIU MD, Yukai DU MM,

Journal Article

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

Song-Song XU, Meng-Hua LI

Journal Article

Risk factors of prognosis after acute kidney injury in hospitalized patients

Sasa Nie, Zhe Feng, Lihua Xia, Jiuxu Bai, Fenglin Xiao, Jian Liu, Li Tang, Xiangmei Chen

Journal Article

Five important issues in the present field of knowledge discovery

Yang Bingru

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

Factors affecting the distribution of microplastics in soils of China

Journal Article

Contact of surfaces and contact characteristics of offset surfaces

CAO Lixin, GONG Hu, LIU Jian

Journal Article

Epidemic obesity in children and adolescents: risk factors and prevention

Eun Young Lee, Kun-Ho Yoon

Journal Article

CRITICAL PROCESSES AND MAJOR FACTORS THAT DRIVE NITROGEN TRANSPORT FROM FARMLAND TO SURFACE WATER BODIES

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