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    题名 作者 年代 出处 被引量
1Occurrence of Antifouling Biocides in Sediment and Green Mussels from Thailand显示文摘Hiroya Harino Madoka Ohji Gullaya Wattayakorn Takaomi Arai Sompop Rungsupa Nobuyuki Miyazaki 2006Archives of Environmental Contamination and Toxicology2006,,3:1
2Investigation on the application of solar chimney for multi-storey buildings 显示文摘Sompop Punyasompun Jongjit Hirunlabh Joseph Khedari 2009Renewable Energy2009,34,12:1
3Variation in growth and diterpene lactones among field-cultivated Andrographis paniculata显示文摘Sompop Prathanturarug Noppamas Soonthornchareonnon Wongsatit Chuakul Promjit Saralamp 2007Journal of Natural Medicines2007,,2:1
4Photodegradation profiles of PVC compound and wood/PVC composites under UV weathering 显示文摘CHAOCHANCHAIKUL K ROSARPITAK V SOMBAT- SOMPOP N 2013Ex-press Polym Lett2013,7,2:1
5Structural Insights into CPT-11 Activation by Mammalian Carboxylesterases显示文摘SOMPOP B MORTON C L POTTER P M 2002Nature Struct Biol2002,9,:1
6Effects of abiotic and biotic elicitors on growth and isoflavonoid accumulation in Pueraria candollei var. candollei and P. candollei var. mirifica cell suspension cultures显示文摘Sirintra Korsangruang Noppamas Soonthornchareonnon Yupyn Chintapakorn Promchit Saralamp Sompop Prathanturarug 2010Plant Cell, Tissue and Organ Culture (PCTOC)2010,,3:1
7Modelling epidemic growth models for lumpy skin disease cases in Thailand using nationwide outbreak data,2021e2022显示文摘Lumpy skin disease(LSD)is a transboundary disease affecting cattle and has a detrimental effect on the cattle industries in numerous countries in Africa,Europe and Asia.In 2021,LSD outbreaks have been reported in almost all of Thailand's provinces.Indeed,fitting LSD occurrences using mathematical models provide important knowledge in the realm of animal disease modeling.Thus,the objective of this study is to fit the pattern of daily new LSD cases and daily cumulative LSD cases in Thailand using mathematical models.The first-and second-order models in the forms of Lorentzian,Gaussian and Pearson-type VII models are used to fit daily new LSD cases whereas Richard's growth,Boltzmann sigmoidal and Power-law growth models are utilized to fit the curve of cumulative LSD cases.Based on the root-mean-squared error(RMSE)and Akaike information criterion(AIC),results showed that both first and second orders of Pearson-type VII models and Richard's growth model(RGM)were fit to the data better than other models used in the present study.The obtained models and their parameters can be utilized to describe the LSD outbreak in Thailand.For disease preparedness purposes,we can use the first order of the Pearson-type VII model to estimate the time of maximum infected cases occurring when the growth rate of infected cases starts to slow down.Furthermore,the period when the growth rate changes at a slower rate,known as the inflection time,obtained from RGM allows us to anticipate when the pandemic has peaked and the situation has stabilized.This is the first study that utilizes mathematical methods to fit the LSD epidemics in Thailand.This study offers decision-makers and authorities with valuable information for establishing an effective disease control strategy.Sompop Moonchai Adsadang Himakalasa Thaned Rojsiraphisal Orapun Arjkumpa Pawares Panyasomboonying Noppasorn Kuatako Noppawan Buamithup Veerasak Punyapornwithaya 2023Infectious Disease Modelling2023,8,1:0
8泡沫经济对泰国社会经济和文化的影响以及中国经验显示文摘Sompop Manarungsan 陈柳婷 2000东南亚纵横2000,,S2:0
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