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Exploration of Strategies for Chronic Disease Prevention and Control and Relevant System Development
Long-de Wang
Frontiers of Engineering Management 2015, Volume 2, Issue 1, Pages 2-12 doi: 10.15302/J-FEM-2015002
Keywords: chronic disease prevention and control strategy and system construction
Research on the relationship between Hengsha land formation and development and relevant planning
Ruan Wei,Lou Fei
Strategic Study of CAE 2013, Volume 15, Issue 6, Pages 79-85
In this paper, on the basis of natural river regime evolution and relevant
Keywords: Yangtze river estuary Hengsha land formation and development relevant planning
Easy access to pharmaceutically relevant heterocycles by catalytic reactions involving
Ximei Zhao, Matthias Rudolph, Abdullah M. Asiri, A. Stephen K. Hashmi
Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 3, Pages 317-349 doi: 10.1007/s11705-019-1874-4
Keywords: gold heterocycles alkynes
Economy-oriented strategy of appropriate technique
CHEN Xiaoyang, ZHONG Dekun
Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4, Pages 371-378 doi: 10.1007/s11709-008-0047-1
Keywords: outlook relevant appropriate technique innovation situation
Veronika BOLSHAKOVA, Annie GUERRIERO, Gilles HALIN
Frontiers of Engineering Management 2020, Volume 7, Issue 1, Pages 104-118 doi: 10.1007/s42524-019-0041-4
Keywords: BIM 4D BIM 4D BIM use AEC project management collaboration decision making
Determination of the dissociation constants of polyepoxysuccinic acid
ZHANG Lihua, ZHU Zhiliang, QIU Yanling, ZHANG Ronghua, ZHAO Jianfu
Frontiers of Environmental Science & Engineering 2008, Volume 2, Issue 4, Pages 505-508 doi: 10.1007/s11783-008-0077-x
Keywords: function comparison relevant corresponding dissociation
Tongli WANG, Guangyu WANG, John L. INNES, Brad SEELY, Baozhang CHEN
Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4, Pages 448-458 doi: 10.15302/J-FASE-2017172
Keywords: biologically relevant climate variables downscaling dynamic local regression future climate historical
Wang Longde
Strategic Study of CAE 2014, Volume 16, Issue 10, Pages 22-30
Keywords: chronic disease prevention and control strategy and system construction
Development of Key Domain-Relevant Technologies for Smart Construction in China
Chen Ke, Ding Lieyun
Strategic Study of CAE 2021, Volume 23, Issue 4, Pages 64-70 doi: 10.15302/J-SSCAE-2021.04.007
LI Jun, NI Yongjiong, WEI Su, CHENG Guobiao, OU Changjin, PENG Yongzhen, GU Guowei, LU Jingen
Frontiers of Environmental Science & Engineering 2008, Volume 2, Issue 1, Pages 99-102 doi: 10.1007/s11783-008-0017-9
Keywords: DO relevant biological process nitrogen pH
Status and Future of the Electric Vehicles and Their Relevant Power Materials
Yang Yuchun
Strategic Study of CAE 2003, Volume 5, Issue 12, Pages 1-11
Keywords: electric vehicle (EV) nickel-metal hydride (Ni-MH) lithium ion battery (LIB) proton exchange membrane fuel cell(PEMFC) solid oxide fuel cell(SOFC)
Jiaojiao Xie, Ding Shi, Mingyang Bao, Xiaoyi Hu, Wenrui Wu, Jifang Sheng, Kaijin Xu, Qing Wang, Jingjing Wu, Kaicen Wang, Daiqiong Fang, Yating Li, Lanjuan Li
Engineering 2022, Volume 8, Issue 1, Pages 122-129 doi: 10.1016/j.eng.2020.05.014
The aim of this research was to develop a quantitative method for clinicians to predict the probability of improved prognosis in patients with coronavirus disease 2019 (COVID-19). Data on 104 patients admitted to hospital with laboratory-confirmed COVID-19 infection from 10 January 2020 to 26 February 2020 were collected. Clinical information and laboratory findings were collected and compared between the outcomes of improved patients and non-improved patients. The least absolute shrinkage and selection operator (LASSO) logistics regression model and two-way stepwise strategy in the multivariate logistics regression model were used to select prognostic factors for predicting clinical outcomes in COVID-19 patients. The concordance index (C-index) was used to assess the discrimination of the model, and internal validation was performed through bootstrap resampling. A novel predictive nomogram was constructed by incorporating these features. Of the 104 patients included in the study (median age 55 years), 75 (72.1%) had improved short-term outcomes, while 29 (27.9%) showed no signs of improvement. There were numerous differences in clinical characteristics and laboratory findings between patients with improved outcomes and patients without improved outcomes. After a multi-step screening process, prognostic factors were selected and incorporated into the nomogram construction, including immunoglobulin A (IgA), C-reactive protein (CRP), creatine kinase (CK), Acute Physiology and Chronic Health Evaluation II (APACHE II), and interaction between CK and APACHE II. The C-index of our model was 0.962 (95% confidence interval (CI), 0.931–0.993) and still reached a high value of 0.948 through bootstrapping validation. A predictive nomogram we further established showed close performance compared with the ideal model on the calibration plot and was clinically practical according to the decision curve and clinical impact curve. The nomogram we constructed is useful for clinicians to predict improved clinical outcome probability for each COVID-19 patient, which may facilitate personalized counselling and treatment.
Keywords: Coronavirus disease 2019 (COVID-19) Nomogram Patient-relevant outcome
Gan Tingting, Zhao Nanjing, Yin Gaofang, Ma Mingjun, Meng Deshuo, Fang Li, Yang Ruifang, Liu Wenqing
Strategic Study of CAE 2021, Volume 23, Issue 1, Pages 174-184 doi: 10.15302/J-SSCAE-2021.01.024
Keywords: agricultural land heavy metal pollution prevention Yangtze River Delta
Jiaxin Yuan, Xiaodi Cheng, Chaojun Lei, Bin Yang, Zhongjian Li, Kun Luo, K.H. Koko Lam, Lecheng Lei, Yang Hou, Kostya Ken Ostrikov
Engineering 2021, Volume 7, Issue 9, Pages 1306-1312 doi: 10.1016/j.eng.2020.01.018
Developing high-performing oxygen evolution reaction (OER) electrocatalysts under high-current operation conditions is critical for future commercial applications of alkaline water electrolysis for clean energy generation. Herein, we prepared a three-dimensional (3D) bimetallic oxyhydroxide hybrid grown on a Ni foam (NiFeOOH/NF) prepared by immersing Ni foam (NF) into Fe(NO3)3 solution. In this unique 3D structure, the NiFeOOH/NF hybrid was composed of crystalline Ni(OH)2 and amorphous FeOOH evenly grown on the NF surface. As a bimetallic oxyhydroxide electrocatalyst, the NiFeOOH/NF hybrid exhibited excellent catalytic activity, surpassing not only the other reported Ni–Fe based electrocatalysts, but also the commercial Ir/C catalyst. In situ electrochemical Raman spectroscopy demonstrated the active FeOOH and NiOOH phases involved in the OER process. Profiting from the synergy of Fe and Ni catalytic sites, the NiFeOOH/NF hybrid delivered an outstanding OER performance under challenging industrial conditions in a 10.0 mol∙L-1 KOH electrolyte at 80 ºC, requiring potentials as small as 1.47 and 1.51 V to achieve the super-high catalytic current densities of 100 and 500 mA∙cm-2, respectively.
Keywords: Bimetallic oxyhydroxide 3D hybrid electrocatalysis oxygen evolution reaction high current density
Title Author Date Type Operation
Exploration of Strategies for Chronic Disease Prevention and Control and Relevant System Development
Long-de Wang
Journal Article
Research on the relationship between Hengsha land formation and development and relevant planning
Ruan Wei,Lou Fei
Journal Article
Easy access to pharmaceutically relevant heterocycles by catalytic reactions involving
Ximei Zhao, Matthias Rudolph, Abdullah M. Asiri, A. Stephen K. Hashmi
Journal Article
Identifying stakeholders’ roles and relevant project documents for 4D-based collaborative decision making
Veronika BOLSHAKOVA, Annie GUERRIERO, Gilles HALIN
Journal Article
Determination of the dissociation constants of polyepoxysuccinic acid
ZHANG Lihua, ZHU Zhiliang, QIU Yanling, ZHANG Ronghua, ZHAO Jianfu
Journal Article
ClimateAP: an application for dynamic local downscaling of historical and future climate data in Asia Pacific
Tongli WANG, Guangyu WANG, John L. INNES, Brad SEELY, Baozhang CHEN
Journal Article
Exploration of Strategies for Chronic Disease Prevention and Control and Relevant System Construction
Wang Longde
Journal Article
Development of Key Domain-Relevant Technologies for Smart Construction in China
Chen Ke, Ding Lieyun
Journal Article
On-line controlling system for nitrogen and phosphorus removal of municipal wastewater in a sequencing batch reactor (SBR)
LI Jun, NI Yongjiong, WEI Su, CHENG Guobiao, OU Changjin, PENG Yongzhen, GU Guowei, LU Jingen
Journal Article
Status and Future of the Electric Vehicles and Their Relevant Power Materials
Yang Yuchun
Journal Article
A Predictive Nomogram for Predicting Improved Clinical Outcome Probability in Patients with COVID-19 in Zhejiang Province, China
Jiaojiao Xie, Ding Shi, Mingyang Bao, Xiaoyi Hu, Wenrui Wu, Jifang Sheng, Kaijin Xu, Qing Wang, Jingjing Wu, Kaicen Wang, Daiqiong Fang, Yating Li, Lanjuan Li
Journal Article
A Review on Heavy Metal Pollution of Agricultural Land Soil in the Yangtze River Delta and Relevant Pollution
Gan Tingting, Zhao Nanjing, Yin Gaofang, Ma Mingjun, Meng Deshuo, Fang Li, Yang Ruifang, Liu Wenqing
Journal Article