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    ๋ฐฉ๊ธ€๋ผ๋ฐ์‹œ ๋„์‹œ์™€ ์‹œ๊ณจ ์ง€์—ญ์˜ 5์‚ด๊ณผ 5์‚ด ๋ฏธ๋งŒ ์–ด๋ฆฐ์ด์˜ ๋Œ€๋ณ€์— ์žˆ๋Š” ์‚ด๋ชจ๋„ฌ๋ผ ์œ ์ „์ž ๋น„๊ต

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์˜๊ณผ๋Œ€ํ•™ ์˜ํ•™๊ณผ, 2021.8. ์„์Šนํ˜.๋ฐฐ๊ฒฝ. ๋ฐฉ๊ธ€๋ผ๋ฐ์‹œ์—์„œ ์–ด๋ฆฐ์ด์˜ ์žฅํ‹ฐํ‘ธ์Šค ๋ฐœ๋ณ‘๋ฅ ์ด ์‹œ๊ณจ ์ง€์—ญ๋ณด๋‹ค ๋„์‹œ ์ง€์—ญ์—์„œ ๋” ๋†’๊ฒŒ ๋‚˜์˜จ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์ž๋Š” ๊ฑด๊ฐ•ํ•œ ๋„์‹œ ์ง€์—ญ ์–ด๋ฆฐ์ด๊ฐ€ ๊ฑด๊ฐ•ํ•œ ์‹œ๊ณจ ์–ด๋ฆฐ์ด๋“ค ๋ณด๋‹ค ์‚ด๋ชจ๋„ฌ๋ผ ๊ด€๋ จ ์œ ์ „์ž ์ˆ˜์น˜๊ฐ€ ๋” ๋†’์€์ง€ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ์‹คํ—˜๋ฐฉ๋ฒ•. ์‹คํ—˜์„ ์œ„ํ•ด ๋Œ€๋„์‹œ, ๋†์ดŒ ์ง€์—ญ์˜ ์–ด๋ฆฐ์ด ๋Œ€๋ณ€ ์ƒ˜ํ”Œ ๊ฐ 70๊ฐœ๋ฅผ ํ™•๋ณดํ•˜์—ฌ ๋Œ€๋ณ€ 180~200 mg ์—์„œ DNA ๋ฅผ ์ถ”์ถœํ•˜์˜€๋‹ค. ๊ฑด๊ฐ•ํ•œ ์•„์ด์˜ ๋Œ€๋ฒˆ์—์„œ ์ถ”์ถœํ•œ DNA ์—์„œ ์ค‘์ฒฉ PCR ํ†ตํ•ด ์‚ด๋ชจ๋„ฌ๋ผ ๊ด€๋ จ ์œ ์ „์ž๋ฅผ ๊ฒ€์‚ฌํ•˜์˜€๋‹ค. 16S rRNA ์™€ ์‚ด๋ชจ๋„ฌ๋ผ์˜ ์œ ์ „์ž์ธ Salmonella pathogenicity island I gene (hilA), Salmonella enterotoxin gene (stn), invA gene, Fur-regulated gene (iroB), ๊ทธ๋ฆฌ๊ณ  histidine transport operon (hisJ) ๋ฅผ ํ‘œ์ ์œผ๋กœ ์ฆํญ์‹œ์ผœ ๋น„๊ตํ•˜์˜€๋‹ค. ๊ฒฐ๊ณผ. ๋„์‹œ ์–ด๋ฆฐ์ด์˜ ๋Œ€๋ณ€ ์ƒ˜ํ”Œ (median 4, IQR 3-4) ์—์„œ ์‹œ๊ณจ ์–ด๋ฆฐ์ด (median 3, IQR 3-4) ๋ณด๋‹ค ๋” ๋งŽ์€ ์‚ด๋ชจ๋„ฌ๋ผ ๊ด€๋ จ ์œ ์ „์ž๊ฐ€ ๊ฒ€์ถœ์ด ๋˜์—ˆ๋‹ค. ์ด๋Š” ๋ฐฉ๊ธ€๋ผ๋ฐ์‹œ ๋„์‹œ ์ง€์—ญ์˜ ์–ด๋ฆฐ์ด์˜ ์žฅ์— ์‹œ๊ณจ ์ง€์—ญ ์•„์ด ๋ณด๋‹ค ์‚ด๋ชจ๋„ฌ๋ผ ์œ ์ „์ž๊ฐ€ ๋” ๋งŽ์€ ๊ฒƒ์„ ์ œ์‹œํ•œ๋‹ค. ํŠนํžˆ 1์‚ด ๋ฏธ๋งŒ์˜ ๋„์‹œ ์ง€์—ญ ์–ด๋ฆฐ์ด์˜ ์‚ด๋ชจ๋„ฌ๋ผ ์œ ๋ณ‘๋ฅ ์ด ์šฐ์„ธํ•˜์˜€๋‹ค. 1์‚ด ๋ฏธ๋งŒ์˜ ๋„์‹œ ์–ด๋ฆฐ์ด (median 4, IQR 4-5) ์—๊ฒŒ์„œ ๊ฐ™์€ ๋‚˜์ด์˜ ์‹œ๊ณจ ์–ด๋ฆฐ์ด (median 3, IQR 2.5-4) ๋ณด๋‹ค ๋” ๋งŽ์€ ์‚ด๋ชจ๋„ฌ๋ผ ์œ ์ „์ž๊ฐ€ ๋ฐœ๊ฒฌ๋˜์—ˆ๋‹ค. ๋ฌผ์˜ ๊ณต๊ธ‰์›์ด ์ˆ˜๋—๋ฌผ์ธ ๋„์‹œ ์–ด๋ฆฐ์ด์—์„œ (median 4, IQR 3-5) ๊ด€ ์šฐ๋ฌผ (median 3, IQR 2-4), ๋“์ธ ์—ฐ๋ชป๋ฌผ์„ (median 3, IQR 3-3.5) ์„ญ์ทจํ•˜๋Š” ์‹œ๊ณจ ์–ด๋ฆฐ์ด ๋ณด๋‹ค ๋” ๋งŽ์€ ์‚ด๋ชจ๋„ฌ๋ผ ์œ ์ „์ž๊ฐ€ ๊ฒ€์ถœ๋˜์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋„์‹œ ์–ด๋ฆฐ์ด ์ค‘ ์ˆ˜๋—๋ฌผ๊ณผ ์šฐ๋ฌผ์ด ๋ฌผ์˜ ๊ณต๊ธ‰์›์ธ ๊ตฐ์—์„œ๋Š” ์‚ด๋ชจ๋„ฌ๋ผ ์œ ์ „์ž์˜ ์œ ์˜์„ฑ์ด ์—†์—ˆ๋‹ค (median 4, IQR 3-4). ๊ฒฐ๋ก . ๋ณธ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋กœ ์‹์ˆ˜ ๊ณต๊ธ‰ ์‹œ์Šคํ…œ์„ ํฌํ•จํ•œ ๋„์‹œ ํ™˜๊ฒฝ์œผ๋กœ ์ธํ•ด์‹œ๊ณจ ์–ด๋ฆฐ์ด ๋ณด๋‹ค ๋„์‹œ ์–ด๋ฆฐ์ด์—๊ฒŒ ์žฅ์—์„œ์˜ ์ž ์žฌ์  ๋ณ‘์›์„ฑ ์‚ด๋ชจ๋„ฌ๋ผ ๊ท ์˜ ๊ฐ์—ผ์ด ๋†’๋‹ค๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค.Introduction. Typhoid incidence in children is higher in urban areas than in rural areas of Bangladesh. This study examined whether healthy urban children harbored more increased levels of Salmonella genes than healthy rural children. Methodology. Stool samples from 140 children were studied: 70 from rural areas and 70 from urban metropolitan areas. DNA was extracted from 180 to 200 mg of stool samples according to the manufacturerโ€™s instructions using NucleoSpin Stool DNA extraction kit (Macherey-Nagel, Dรผren, Germany). We used nested PCR with a thermal cycler (Veriti 96-well thermal cycler, Applied Biosystems, Foster City, CA) to screen for the presence of Salmonella genes in healthy childrenโ€™s stool specimens. Six Salmonella gene targets were used for amplification. Salmonella gene targets included 16S rRNA [75], Salmonella pathogenicity island I gene (hilA) [76], Salmonella enterotoxin gene (stn) [77], invA gene [78], Fur-regulated gene (iroB) [79], and histidine transport operon (hisJ) [80]. Results. The stool samples of urban children contained more Salmonella genes (median 4, IQR 3-4) than rural children (median 3, IQR 3-4). This suggests that urban Bangladeshi children have more Salmonella genes in their guts than rural children. Especially in those under one year of age, the Salmonella gene prevalence in urban children was unique. They had more Salmonella genes (median 4, IQR 4-5) than rural children in the same age group (median 3, IQR 2.5-4). We also found more Salmonella genes in urban children who drank tap water (median 4, IQR 3-5) than in rural children whose water source was tube well water (median 3, IQR 2-4) and boiled pond water (median 3, IQR 3-3.5). However, there was no significant difference in Salmonella genes between urban children who drank tap water and children whose water source was a tube-well (median 4, IQR 3-4). Conclusions. These data suggest that the urban environment, including the drinking water supply system, increases the likelihood of healthy children in urban areas harboring more potentially pathogenic Salmonella organisms in their gut than found in rural healthy children.Introduction 1 Literature Review 6 Methodology 32 Result 41 Discussion 63 Conclusion 92 Acknowledgment 93 Bibliography 94 Abstract in Korean 119๋ฐ•

    An ETL Metadata Model for Data Warehousing

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    Metadata is essential for understanding information stored in data warehouses. It helps increase levels of adoption and usage of data warehouse data by knowledge workers and decision makers. A metadata model is important to the implementation of a data warehouse; the lack of a metadata model can lead to quality concerns about the data warehouse. A highly successful data warehouse implementation depends on consistent metadata. This article proposes adoption of an ETL (extracttransform-load) metadata model for the data warehouse that makes subject area refreshes metadata-driven, loads observation timestamps and other useful parameters, and minimizes consumption of database systems resources. The ETL metadata model provides developers with a set of ETL development tools and delivers a user-friendly batch cycle refresh monitoring tool for the production support team

    Inducible clindamycin resistance among staphylococci isolated from clinical samples in an urban hospital of Dhaka city

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    Inducible clindamycin resistance was deremined in 200 clinical isolates of staphylococci from pus (53.5%) and wound swab (46.5%). The study was done from July 2009 to June 2010, in the Department of Microbiology, BIHS Hospital Dhaka. Inducible clindamycin resistance was demonstrated by placing an erythromycin disc (15 mg) 15 mm apart from the edge of a clindamycin (2 mg) disc in Mueller Hinton agar. When the clindamycin inhibited zone becomes D- shaped the organism was regarded as postive for inducible resistance (D- test positive). Out of 200 staphylococci, 20% had inducible clindamycin resistance, 5% had constitutive clindamycin resistance and remaining 75% was clindamycin sensitive. In case of methicillin resistant Staphylococcus aureus (MRSA), 48% had inducible clindamycin resistance while 11.5% was constitutively resistant to clindamycin and remainder were clindamycin sensitive. All clindamycin resistant strains were 100% sensitive to vancomycin and linezolid followed by gentamycin (42%) and tetracycline (42.3%). The findings demonstrated that a substantial proportion of staphylococci in our tertiary care hospital had inducible resistance to clindamycin. Ibrahim Med. Coll. J. 2011; 5(1): 6-

    Frequency and Sensitivity of Extended Spectrum Beta-Lactamase Positive Organisms in a Secondary and Tertiary Level Hospital Network in Dhaka

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    Background: Extended spectrum ฮฒ-lactamase (ESBL) positive organisms are now a global health concern including in Bangladesh. These are associated with treatment failure, increased morbidity and mortality and increased health care costs. In this study, frequency of ESBL positive organisms in some health care centres in Dhaka city has been observed and their current status of antibiogram has also been observed. Objective: To observe the current status of antibiogram of ESBL positive organisms. Materials and Methods: This cross-sectional study was done in the Department of Microbiology, Bangladesh Institute of Health Sciences (BIHS) General Hospital, Dhaka, Bangladesh from March, 2012 to February, 2013. Only E. coli and Klebsiella spp. from pus and urine specimens were included in this study. Isolation, identification and antibiotic sensitivity of the organisms were done by standard procedures. Results: Organisms (Escherichia coli and Klebsiella spp.) isolated from urine and pus collected from different sites of 472 subjects were studied. Predominant organisms were Escherichia coli (82.8%) and remaining 17.2% were Klebsiella spp. ESBL positive organisms were higher in Escherichia coli (54.5%) than in Klebsiella spp. (44.4%) and higher in pus (77.0%) than in urine (49.1%) isolates. Imipenem is the most effective drug for treating ESBL positive organisms followed by colistin, tigecycline and piperacillin/tazobactam. Conclusion: Imipenem, colistin, tigecycline and piperacillin/tazobactam drugs should be kept reserved and used only when other effective drugs are not available so that emergence of resistance against these drugs is deferred. While reporting the culture and sensitivity tests, the ESBL positive organisms should be pointed out with comment like this โ€“ โ€œThe organisms are ESBL positive and resistant to penicillins, cephalosporins and monobactamsโ€
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