台灣不同世代A 群鏈球菌對紅徽素抗藥性之研究
A total of 64 nonduplicate isolates of erythromycin-resistant (MIC, >1 μg/ml) Streptococcus pyogenes collected from 1979 to 2003 in Taiwan were evaluated. They were collected from three cohort period: 1979 –1989, 1990-1999 and after 2000. The in vitro activities of 10 antimicrobial agents were determined by the agar dilution method. Penicillin, cephalothin, cefotaxime, vancomycin, and ofloxacin were shown to be active against S. pyogenes isolates (100% sensitive). Erythromycin and azithromycin both had poor activities (MIC50s, 16 and >128 μg/ml, respectively; MIC90s, >512 and >128 μg/ml, respectively). The activities of tetracycline, clindamycin, and chloramphenicol against a significant number of these isolates were also limited. Among the 64 S. pyogenes isolates, 58% had constitutive resistance [cMLS], 40% had an M phenotype and 2% had an iMLS phenotype (inducible resistance [iMLS]). A substantial upsurge in the incidence of M phenotype erythromycin-resistant isolates was found with time for S. pyogenes (10% in 1979–1989, 48% in 1990–1999 and 65% after 2000). The erythromycin resistance genes in 64 isolates of the different cohorts were investigated by PCR. All cMLS phenotype isolates tested had ermB gene. The M phenotype isolates had only the macrolide efflux (mefA) gene. This study shows the secular changes of increasing susceptibility of S. pyogenes isolates to both erythromycin and clindamycin in Taiwan. The mechanisms of erythromycin resistance have changed from the predominance of ermB gene (cMLS) to mefA gene (M phenotype). 本研究是探討台灣自1970 年代末期以來不同世代A群鏈球菌菌株對紅黴素的抗藥性及抗藥基因特徵的演變。研究者收集台灣二十年前(1980 年代前後,第一世代)、十年前(1990 年代,第二世代)、)及最近(2000 年以後,第三世代)之A 群鏈球菌菌株共64 株,利用抗生素圖譜和雙藥錠擴散測試及聚合?連鎖反應(PCR)、和脈衝式膠體電泳研究A 群鏈球菌對紅黴素抗藥性的表現型及基因型特徵。結果發現第一世代的A 群鏈球菌對紅黴素最小抑菌濃度(MIC)值相當高,幾乎都是>512 μg/ml,90%為多重抗藥菌株。第二世代則相對有降低,在第三世代此現象更明顯,多重抗藥菌株為30%。在雙藥錠擴散測試結果,從第一世代來看cMLS 佔大多數(90%),M 型佔10%;第二世代cMLS 及M 型相當分別佔52%及48%;第三世代主要為M 型佔65%,cMLS 佔30%,iMLS 佔5%。利用PCR研究紅黴素抗藥性基因發現所有cMLS 菌株皆有ermB 基因,所有M 型菌株皆有mefA 基因,iMLS 菌株則有ermTR 基因。由本研究顯示在台灣A 群鏈球菌對紅黴素之抗藥性隨著不同世代有逐年改善之趨勢,由MIC50的降低可看出,菌株對紅黴素的敏感性提高,可為臨床治療之參考。
分散質的結構與張力
洗滌用的界面活性劑分散系,沾在吸管可吹成泡,沾在框上則生成特定形體的薄膜;兩種不同現象,依據各自的性質原理,分別設計為可測量的裝置,研討表面張力與濃度間的關係,發現『兩泡連通法』,測量的靈敏度較佳,並且;薄膜總面積法則會因為框的形不同,測得薄膜總面積與表面張力大小的變化趨勢不一樣,而且數據誤差都比『兩泡連通法』大。市售的洗劑有肥皂與合成清潔劑兩類,它們溶於水的分散系,表面張力與濃度大小的變化趨勢正好相反;肥皂的濃度愈大表面張力愈大,合成清潔劑的濃度愈小表面張力愈大。這種現象發生的原因,和分散質是否含苯環結構無關。用數位照相輔助毛細管上升法,觀測『兩泡連通法』標準液的張力與濃度關係,數據顯示兩泡連通法與毛細管上升法,兩者比較各種分散系張力與濃度大小的結果相同。因此,用『兩泡連通法』比較不同分散系張力大小是簡便生動的可行方法。The dispersion of surfactant used for the purpose of cleasing,if dipped on a blowpipe,can be blown into bubbles and,if dipped on a frame,will form a certain shape of membrane.For these two different situations,according to the principle of their quality,measuringdevices can be respectively designed to explore the relation of surfact tension to its concentrate.It is discovered that,with the measuring device of the Two Bubble Connection Method,the sensitivity measured is better;and that,because of the difference of the structures of the frames,the total area of the membrane and the change trend of the degree of the surface tension will also be different and the probable error of the measured digits is always larger and it is not easy to find regularity. For the two categories of dispersion,soaps on the market and synthesis detergent,when they are measured with the Two Bubble Connection Method about the relationship of their surface tension to the degree of their concentrate,the trend of change is exactly opposite.The surface tension and concentrate of the category of soap are in right proportion whereas,for synthesis detergent used for cleaning bowls and plater and washing clothes,when its concentrate is less,its surface tension is more intense.Based on the findings of this study,the concentrate and the change trend of the degree of tension have no connection with whether there is benzene structure in the solvent. With the Capillary Rise Method assisted by digital photography to observe the relation of the tension of standard solution to the concentrate,we have found that they totally correspond to the result measured with the Two Bubble Connection Method designed in this study.
利用電化學合成P型半導體--碘化銅(CuI)光感測器的製作
碘化銅(CuI)為一種P型半導體,在一般文獻中大部分被用做催化劑,合成極為不易。我們利用一簡單電化學合成的方式,可將銅控制在一價銅( Cu?O ),如在有碘離子( I- )的溶液中便形成CuI。在這研究中我們將所合成出之P 型半導體CuI 製成光感測器,在偵測不同光強時有良好的線性關係(r2=0.9961)。在光感測器的實驗中我們利用CuI 電極,讓它接受光照,使其電流產生光電流,如果能儲存其光電流能量,就可成為一太陽能電池,利用其原理,未來可以發展成為替代能源。 CuI is a kind of P type of semiconductor in the general literatures. Most of the CuI is use to catalyst. Except that, CuI is difficult to synthesis. We use a simple way of Electoctrochemistry complex to keep Cu?O under controlling. For example, in the I- solution, Cu becomes CuI. In the study, we make the synthesis P type of semiconductor to be light sensor. In different lightness, the procedure showed good linearity(r2=0.9961) In the light sensor, we use CuI pole to accept sunlight. Then the current will produce light current. If we could store the energy of light current, it will be a solar energy battery. When we apply the theory, it can develop to be substitute energy.\r
彩色數位影像資料庫檢索架構-以國立自然科學博物館為例
國立自然科學博物館推出《數位博物館》,內含大量生物圖鑑及豐富館藏文物之圖文資 料,無論用於資料查詢或提供進階研究資料皆有極大貢獻。但經使用後發現,其檢索架構仍 只提供關鍵字搜尋及分類瀏覽,無法精確檢索出欲查詢之資料,尚有改進之處。 於是針對現有之影像檢索系統,我們跳脫出傳統以文字為檢索之依據,而設計出一連串 之改進方案,如下: 1. IRHI 色調辨識影像檢索,針對色調相近之影像類群提供良好檢索架構。 2. IRCI 輪廓辨識影像檢索,針對輪廓相近之影像類群提供良好檢索架構。 3. IRHCI 色調暨輪廓辨識影像檢索,綜合前述兩種方法之優點所設計。 A while ago, the National Museum of Natural Science put forth the “Digital Museum,” which contains great amount of biological pictographs and abundant collections of textual as well as pictorial materials. This has contributed tremendously to information search and advanced research. However, after employing them, we come to discover that its retrieval paradigm only provides key-word search and categorization browse, without enabling us to precisely pick out the desired data. Thus, this paradigm leaves something to be desired. To make up for the insufficiency of the existing system, we have escaped from the concept of searching by texts. Instead, we have designed a series of improvements. They are as follows: 1. IRHI(Image Retrieval by Hue Identification): Providing a sound paradigm for the image groups composed of similar hues. 2. IRCI(Image Retrieval by Contour Identification): Providing a sound paradigm for image groups composed for similar contours. 3. IRHCI(Image Retrieval by Hue and Contour Identification): Combining the strengths of the above two paradigms.