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4 results on '"Kongcharoen, Jinda"'

1. Environmental Factors and Ventilation Affect Concentrations of Microorganisms in Hospital Wards of Southern Thailand.

Author

Onmek, Nutthajit, Kongcharoen, Jinda, Singtong, Ailada, Penjumrus, Angkana, and Junnoo, Siripich

Subjects
*HOSPITAL wards, *FANS (Machinery), *ENVIRONMENTAL quality, *PEBBLE bed reactors, TROPICAL climate
Abstract

Hospitals tend to have high density of occupancy. Poor indoor environmental quality in hospital buildings can exacerbate the health problems of patients and also harm visitors and staff. This study investigated the environmental characteristics and ventilation affecting the concentration of microorganisms in multiple-bed hospital wards. The measurements were accomplished by using a biosampler and an open plate method at four wards, different positions of electric fans, and different times. Data were analyzed by t-test and MANOVA. The results revealed that the concentrations of airborne bacteria were higher than the concentrations of fungi. There were significant differences in the concentrations of bacteria and fungi between sampling times and between hospital wards (p < 0.05), while no difference was observed by positions of electric fans. Correlations between the concentrations and other environmental parameters indicate that temperature, number of occupants, and humidity were physical factors associated with the concentrations of microorganisms. In addition, mostly, Gram-positive bacteria were observed. This indicates the conditions in buildings in the tropical climate, and regular housekeeping of all room areas is needed to prevent the growth of airborne contaminants and the related risks to patients, visitors, and staff. [ABSTRACT FROM AUTHOR]

Published
2020
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2. FACTORS AFFECTING SICK BUILDING SYNDROME AMONG HOTEL STAFF.

Author

Kongcharoen, Jinda, Onmek, Nutthajit, and Karrila, Seppo

Subjects
*SICK building syndrome, *LIKELIHOOD ratio tests, *RISK-taking behavior, *HEALTH behavior, *JUDGMENT sampling, *HOTEL employees, *LOGISTIC regression analysis
Abstract

Sick building syndrome (SBS) is commonly found among office staff. There have been few studies on SBS among hotel staff. The main objective of this research was to establish a risk factor model related to the occurrence of SBS among hotel staff. A questionnaire on SBS was used to survey 246 hotel staff based on purposive sampling. Significant factors were detected using chi- square and likelihood ratio tests while binary logistic regression was used to determine the significant difference among personal information, workplace characteristics, and environmental and psychosocial factors in relation to the occurrence of SBS. The outcome of the evaluation indicates the prevalence of SBS as about 7%. The statistical factors related to SBS were female staff (OR = 20.52, 95%CI = 2.91-144.92), smoking habits (OR = 10.67, 95%CI = 1.94-58.61), and presence of animals (OR = 8.09, 95%CI = 2.52-26.01). This study indicates that female smokers surrounded by animals had an elevated risk of SBS. This study could be useful for guiding hotel staff to avert health risk behavior. [ABSTRACT FROM AUTHOR]

Published
2019

3. The Analysis of Pattern Change in Intron Sequences.

Author

Kongcharoen, Jinda, Yan-Xia Lin, Caldwell, Rachel, Yiren Yang, and Zhang, Ren

Subjects
*INTRONS, *BERNOULLI effect (Fluid dynamics), *ARABIDOPSIS thaliana, *GENE expression, *PROTEINS
Abstract

The Generalized Bernoulli Modeling approach is used to analyze the pattern change in intron sequences of a model plant species Arabidopsis thaliana. The influence of the intron length and the number of GC on the intron sequence pattern changes is examined. Two other gene properties, the gene expression level and the protein function encoded are also assessed. Among the random sampled intron sequences, 10.71% of them have been identified to have sequence pattern change. Our study shows that the number of GC and the intron length significantly influence the intron pattern change while the gene expression level and the protein function have little effect. Our results show that for Arabidopsis thaliana, the shorter intron with more number of GC might have a higher chance to have pattern changes detected on its sequence and this piece of information could be used for checking whether the intron is functional introns. This study may be benefit to the further study on functions of intron. [ABSTRACT FROM AUTHOR]

Published
2011
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4. The Analysis of Pattern Change in Intron Sequences.

Author

Kongcharoen, Jinda, Caldwell, Rachel, Yan-Xia Lin, Yiren Yang, and Ren Zhang

Subjects
*INTRONS, *NUCLEOTIDE sequence, *BERNOULLI equation, *ARABIDOPSIS thaliana genetics, *PLANT species
Abstract

The Generalized Bernoulli Modeling approach is used to analyze the pattern change in intron sequences of a model plant species Arabidopsis thaliana. The influence of the intron length and the number of GC on the intron sequence pattern changes is examined. Two other gene properties, the gene expression level and the protein function encoded are also assessed. Among the random sampled intron sequences, 10.71% of them have been identified to have sequence pattern change. Our study shows that the number of GC and the intron length significantly influence the intron pattern change while the gene expression level and the protein function have little effect. Our results show that for Arabidopsis thaliana, the shorter intron with more number of GC might have a higher chance to have pattern changes detected on its sequence and this piece of information could be used for checking whether the intron is functional introns. This study may be benefit to the further study on functions of intron. [ABSTRACT FROM AUTHOR]

Published
2011
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