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| 1 | Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity显示文摘The virus SARS-CoV2,which causes the Coronavirus disease COVID-19 has become a pandemic and has spread to every inhabited continent.Given the increasing caseload,there is an urgent need to augment clinical skills in order to identify from among the many mild cases the few that will progress to critical illness.We present a first step towards building an artificial intelligence(AI)framework,with predictive analytics(PA)capabilities applied to real patient data,to provide rapid clinical decision-making support.COVID-19 has presented a pressing need as a)clinicians are still developing clinical acumen given the disease’s novelty,and b)resource limitations in a rapidly expanding pandemic require difficult decisions relating to resource allocation.The objectives of this research are:(1)to algorithmically identify the combinations of clinical characteristics of COVID-19 that predict outcomes,and(2)to develop a tool with AI capabilities that will predict patients at risk for more severe illness on initial presentation.The predictive models learn from historical data to help predict specifically who will develop acute respiratory distress syndrome(ARDS),a severe outcome in COVID-19.Our experimental results based on two hospitals in Wenzhou,Zhejang,China identify features most predictive of ARDS in COVID-19 initial presentation which would not have stood out to clinicians.A mild increase in elevated alanine aminotransferase(ALT)(a liver enzyme)),a presence of myalgias(body aches),and an increase in hemoglobin,in this order,are the clinical features,on presentation,that are the most predictive.Those two centers’COVID-19 case series symptoms on initial presentation can help predict severe outcomes.Predictive models that learned from historical data of patients from two Chinese hospitals achieved 70%to 80%accuracy in predicting severe cases. | Xiangao Jiang Megan Coffee Anasse Bari Junzhang Wang Xinyue Jiang Jianping Huang Jichan Shi Jianyi Dai Jing Cai Tianxiao Zhang Zhengxing Wu Guiqing He Yitong Huang | 2020 | Computers, Materials & Continua2020，，4： | 15 |
| 2 | Cd uptake in rice cultivars treated with organic acids and EDTA显示文摘A pot experiment was conducted to examine the activity of antioxidant enzymes, the content of malondialdehyde (MDA), proline and protein, and Cd uptake in different rice cultivars exposed to Cd (0, 1 and 5 mg/kg) in the presence of organic acids and ethylenediamine tetraacetic acid (EDTA). The results showed the increase in activity of dismutase (SOD), contents of proline and protein but a decline in activities of peroxidase (POD) and catalase (CAT), and MDA content for cultivars Xiushui63 and IIyou527. The resistance to Cd was higher in Xiushui63 than that in IIyou527 under the same Cd treatment. Cadmium contents in grain, straw and roots of both cultivars were markedly reduced in the presence of organic acids and EDTA. Grain Cd contents was the highest for plants treated with organic acids, followed by organic acids + 1/2EDTA, and the lowest with EDTA; Cd contents in straw and root were the lowest for plants treated with organic acids, followed by organic acids + 1/2EDTA, and the highest with EDTA treatment when exposed to Cd. | Weihong Xu Yangrui Li Jianping He Qifu Ma Xiaojing Zhang Guiqing Chen Huixian Wang Haibo Zhang | 2010 | Journal of Environmental Sciences2010，22，3： | 9 |
| 3 | Comparison of lentiviruses pseudotyped with S proteins from coronaviruses and cell tropisms of porcine coronaviruses显示文摘The surface glycoproteins of coronaviruses play an important role in receptor binding and cell entry. Different coronaviruses interact with their specific receptors to enter host cells. Lentiviruses pseudotyped with their spike proteins(S) were compared to analyze the entry efficiency of various coronaviruses. Our results indicated that S proteins from different coronaviruses displayed varied abilities to mediate pseudotyped virus infection. Furthermore, the cell tropisms of porcine epidemic diarrhea virus(PEDV) and transmissible gastroenteritis virus(TGEV) have been characterized by live and pseudotyped viruses. Both live and pseudoviruses could infected VeroCCL-81(monkey kidney), Huh-7(human liver), and PK-15(pig kidney) cells efficiently. CCL94(cat kidney) cells could be infected efficiently by TGEV but not PEDV. Overall, our study provides new insights into the mechanisms of viral entry and forms a basis for antiviral drug screening. | Jingjing Wang Feng Deng Gang Ye Wanyu Dong Anjun Zheng Qigai He Guiqing Peng | 2016 | Virologica Sinica2016，31，1： | 2 |
| 4 | Rapid 3D human body modeling based on Kinect technology显示文摘The 3D shape of the human body is useful for applications in fitness,games and apparel.Accurate body scanners,however,are expensive,limiting the availability of 3D body models.In this paper,we focus on the human body 3D modeling using one Kinect sensor modeling method.To get the human body model fast,three steps in rapid modeling of the human body are carried out.Firstly,according to anthropometric parameters,the standard model is parameterized;Secondly,the Kinect depth image of the human body model is gotten through,then,by using the PCL library the point cloud data is processed and matched,and the human body model is optimized;Finally,the realistic human body model is obtained with the rapid integration of the standard model and PCL library. | HE Kunlin XU Yong MAO Aihua LI Guiqing | 2013 | Computer Aided Drafting,Design and Manufacturing2013，23，1： | 1 |
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