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17篇 您的检索式:作者名="Thapaliya"
    题名 作者 年代 出处 被引量
1Hydrocarbon fuels from vegetable oils via hydrolysis and thermo-catalytic decarboxylation显示文摘Wei-Cheng Wang Nirajan Thapaliya Andrew Campos Larry F. Stikeleather William L. Roberts 2011Fuel2011,,:1
2Experience with pegylated interferon alpha-2a in advanced myelopmliferative neoplasms in an international cohort of 118 patients 显示文摘Gowin K Thapaliya P Samuelson J 2012Haematologiea2012,97,10:1
3International working group for myelofibrosis research and treatment response assessment and long-term follow-up of 50 my- elofibrosis patients treated with thalidomide-prednisone based regimens显示文摘Thapaliya P Tefferi A Pardanani A 2011Am J Hematol2011,86,1:1
4Hyperam- monemia in cirrhosis induces transcriptional regulation of myo- statin by an NF-~B-mediated mechanism显示文摘QIU J THAPALIYA S RUNKANA A 2013Proceedings of the National Academy of Sciences of the United States of America2013,110,18:1
5Staphylococcus aureus and Staphylococcal Food-Borne Disease: An Ongoing Challenge in Public Health显示文摘Jhalka Kadariya Tara C. Smith Dipendra Thapaliya Patrizia Messi 2014BioMed Research International2014,,:1
6Hyperammone- mia in cirrhosis induces transcriptional regulation of my- ostatin by an NF - KB - mediated mechanism 显示文摘Qiu j Thapaliya S Runkana A 2013Pro- ceedings of the National Academy of Sciences of the United States of America2013,110,18:1
7Role of BAX ac- tivation in steatohepatitis development in vivo显示文摘THAPALIYA S BERK MP DIXON LJ 2010Hepatology2010,52,1:1
8Caspase 1-mediated regulation of fibrogenesis in diet-induced steatohepatitis显示文摘DIXON LJ BERK MP THAPALIYA S 2010Hepatology2010,52,1:1
9Hyperam monemia in cirrhosis induces transcriptional regulation of myo- statin by an NF ~:B mediated mechanism显示文摘QIU J THAPALIYA S RUNKANA A 2013Proc Natl Acad Sci USA2013,110,18:1
10Staphylococcus aureus and staphylococcal food-borne disease: an ongoing challenge in public health显示文摘Kadariya J Smith T C Thapaliya D 2014Biomed Res Int2014,2014,82:1
11Antibiotic profiling of heavy metal resistant bacterial isolates from the effluent of a garment industry in Lalitpur,Nepal显示文摘SHARMA M THAPALIYA H P 0,,01:1
12Hyperammonemia in cirrhosis in- duces transcriptional regulation of myostatin by an NF tcB - mediated mechanism显示文摘Qiu J Thapaliya S Runkana A 2013Proc Natl Acad Sci USA2013,110,18:1
13Caspase 3 inactivation protects against hepatic cell death and ameliorates fibrogenesis in a diet-induced NASH model 显示文摘Thapaliya S Wree A Povero D 2014Digest Dis Sci2014,59,:1
14New-onset diabetes in COVID-19 and clinical outcomes: A systematic review and meta-analysis显示文摘BACKGROUND Diabetes mellitus(DM)is associated with adverse clinical outcomes and high mortality in patients with coronavirus disease 2019(COVID-19).The relationship between diabetes and COVID-19 is known to be bidirectional.AIM To analyze the rate of new-onset diabetes in COVID-19 patients and compare the clinical outcomes of new-onset diabetes,pre-existing diabetes,hyperglycemic,and non-diabetes among COVID-19 patients.METHODS We used the Meta-analysis of Observational Studies in Epidemiology statement for the present meta-analysis.Online databases were searched for all peerreviewed articles published until November 6,2020.Articles were screened using Covidence and data extracted.Further analysis was done using comprehensive meta-analysis.Among the 128 studies detected after thorough database searching,seven were included in the quantitative analysis.The proportion was reported with 95%confidence interval(CI)and heterogeneity was assessed using I2.RESULTS Analysis showed that 19.70%(CI:10.93-32.91)of COVID-19 patients had associated DM,and 25.23%(CI:19.07-32.58)had associated hyperglycemia.The overall mortality rate was 15.36%(CI:12.57-18.68)of all COVID-19 cases,irrespective of their DM status.The mortality rate was 9.26%among non-diabetic patients,10.59%among patients with COVID-19 associated hyperglycemia,16.03%among known DM patients,and 24.96%among COVID-19 associated DM patients.The overall occurrence of adverse events was 20.52%(CI:14.21-28.70)among COVID-19 patients in the included studies,15.29%among non-diabetic patients,20.41%among patients with COVID-19 associated hyperglycemia,20.69%among known DM patients,and 45.85%among new-onset DM.Metaregression showed an increasing rate of mortality among new hyperglycemic patients,known diabetics,and new-onset DM patients in comparison to those without diabetes.CONCLUSION A significantly higher rate of new onset DM and hyperglycemia was observed.Higher mortality rates and adverse events were seen in patients with new-onset DM and hyperglycemia than in the non-diabetic population.Dhan Bahadur Shrestha Pravash Budhathoki Sumit Raut Sugat Adhikari Prinska Ghimire Sabin Thapaliya Ali A Rabaan Bibodh Jung Karki 2021World Journal of Virology2021,10,5:0
15Erratum to: An advanced segmentation using area and boundary tracing technique in extraction of lungs region显示文摘Erratum to:J.Cent.South Univ.(2014)21:3811-3820DOI:10.1007/s11771-014-2366-9The original version of this article unfortunately contained three mistakes.The mistakes are corrected as follows:1)The spelling of third author is incorrect.The correct name is Jae-Young PYUN.2)The information of corresponding author is incorrect.The correct information should be Goo-Rak KWON,Professor,PhD;Tel/Fax:+98-711-7264102;E-mail:grkwon@chosun.ac.Kiran THAPALIYA Sang-Woong LEE Jae-Young PYU Heon JEONG Goo-Rak KWON 2014Journal of Central South University2014,21,12:0
16尼泊尔的应急管理简介显示文摘尼泊尔地处喜马拉雅山脉南麓,位于中国和印度两国之间,是一个典型的山区内陆国。由于受到南亚季风和喜马拉雅地震带的长期影响形成的特殊地形地理、气候条件、地质构造和缺少城市规划,尼泊尔是世界上最易发生灾害的国家之一(见图1)。田兵伟 Basanta Raj Adhikari Subash Thapaliya 2020中国应急管理2020,,8:0
17An advanced segmentation using area and boundary tracing technique in extraction of lungs region显示文摘A new method is presented for the segmentation of pulmonary parenchyma. The proposed method is based on the area calculation of different objects in the image. The main purpose of the proposed algorithm is the segment of the lungs images from the computer tomography(CT) images. The original image is binarized using the bit-plane slicing technique and among the different images the best binarized image is chosen. After binarization, the labeling is done and the area of each label is calculated from which the next level of binarized image is obtained. Then, the boundary tracing algorithm is applied to get another level of binarized image. The proposed method is able to extract lung region from the original images. The experimental results show the significance of the proposed method.Kiran THAPALIYA Sang-Woong LEE Jae-Young PYU Heon JEONG Goo-Rak KWON 2014Journal of Central South University2014,21,10:0
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