• Title/Summary/Keyword: gram

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Gram-Positive Bacteria Specific Properties of Silybin Derived from Silybum marianum

  • Lee, Dong-Gun;Kim, Hyung-Keun;Park, Yoon-Kyung;Park, Seong-Cheol;Woo, Eun-Rhan;Jeong, Hye-Gwang;Hahm, Kyung-Soo
    • Archives of Pharmacal Research
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    • v.26 no.8
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    • pp.597-600
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    • 2003
  • Silybin has a potent antibacterial activity, more potent than silymarin II, against gram-positive bacteria without hemolytic activity, whereas it has no antimicrobial activity against gram-negative bacteria or fungi. The mode of action of silybin against the gram-positive bacterial cell was examined by investigating the change in plasma membrane dynamics of bacterial cells using 1 ,6-diphenyl-1,3,5-hextriene (DPH) as a membrane probe and by assessing the inhibition of macromolecular synthesis using radiolabeled incorporation assay. The results showed that silybin inhibited RNA and protein synthesis on gram-positive bacteria.

A Method for Twitter Spam Detection Using N-Gram Dictionary Under Limited Labeling (트레이닝 데이터가 제한된 환경에서 N-Gram 사전을 이용한 트위터 스팸 탐지 방법)

  • Choi, Hyeok-Jun;Park, Cheong Hee
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.9
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    • pp.445-456
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    • 2017
  • In this paper, we propose a method to detect spam tweets containing unhealthy information by using an n-gram dictionary under limited labeling. Spam tweets that contain unhealthy information have a tendency to use similar words and sentences. Based on this characteristic, we show that spam tweets can be effectively detected by applying a Naive Bayesian classifier using n-gram dictionaries which are constructed from spam tweets and normal tweets. On the other hand, constructing an initial training set requires very high cost because a large amount of data flows in real time in a twitter. Therefore, there is a need for a spam detection method that can be applied in an environment where the initial training set is very small or non exist. To solve the problem, we propose a method to generate pseudo-labels by utilizing twitter's retweet function and use them for the configuration of the initial training set and the n-gram dictionary update. The results from various experiments using 1.3 million korean tweets collected from December 1, 2016 to December 7, 2016 prove that the proposed method has superior performance than the compared spam detection methods.

Detecting Spectre Malware Binary through Function Level N-gram Comparison (함수 단위 N-gram 비교를 통한 Spectre 공격 바이너리 식별 방법)

  • Kim, Moon-Sun;Yang, Hee-Dong;Kim, Kwang-Jun;Lee, Man-Hee
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.6
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    • pp.1043-1052
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    • 2020
  • Signature-based malicious code detection methods share a common limitation; it is very hard to detect modified malicious codes or new malware utilizing zero-day vulnerabilities. To overcome this limitation, many studies are actively carried out to classify malicious codes using N-gram. Although they can detect malicious codes with high accuracy, it is difficult to identify malicious codes that uses very short codes such as Spectre. We propose a function level N-gram comparison algorithm to effectively identify the Spectre binary. To test the validity of this algorithm, we built N-gram data sets from 165 normal binaries and 25 malignant binaries. When we used Random Forest models, the model performance experiments identified Spectre malicious functions with 99.99% accuracy and its f1-score was 92%.

Modified Gram-Schmidt Algorithm Using Equivalent Wiener-Hopf Equation (등가의 Wiener-Hopf 방정식을 이용한 수정된 Gram-Schmidt 알고리즘)

  • Ahn, Bong-Man;Hwang, Jee-Won;Cho, Ju-Phil
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.7C
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    • pp.562-568
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    • 2008
  • This paper proposes the scheme which obtain the coefficients of TDL filter and two normalization algorithms among methods which get solution of equivalent Wiener-Hopf Equation in Gram-Schmidt algorithm. Compared to the conventional NLMS algorithm, normalizes with sum of power of inputs, the presented algorithms normalize using sums of eigenvalues. Using computer simulation, we perform an system identification in an unstable environment where two poles are located in near position outside unit circle. Consequently, the proposed algorithms get the coefficients of TDL filter in Gram-Schmidt algorithm recursively and show better convergence performance than conventional NLMS algorithm.

Self-Organizing n-gram Model for Automatic Word Spacing (자기 조직화 n-gram모델을 이용한 자동 띄어쓰기)

  • Tae, Yoon-Shik;Park, Seong-Bae;Lee, Sang-Jo;Park, Se-Young
    • Annual Conference on Human and Language Technology
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    • 2006.10e
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    • pp.125-132
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    • 2006
  • 한국어의 자연어처리 및 정보검색분야에서 자동 띄어쓰기는 매우 중요한 문제이다. 신문기사에서조차 잘못된 띄어쓰기를 발견할 수 있을 정도로 띄어쓰기가 어려운 경우가 많다. 본 논문에서는 자기 조직화 n-gram모델을 이용해 자동 띄어쓰기의 정확도를 높이는 방법을 제안한다. 본 논문에서 제안하는 방법은 문맥의 길이를 바꿀 수 있는 가변길이 n-gram모델을 기본으로 하여 모델이 자동으로 문맥의 길이를 결정하도록 한 것으로, 일반적인 n-gram모델에 비해 더욱 높은 성능을 얻을 수 있다. 자기조직화 n-gram모델은 최적의 문맥의 길이를 찾기 위해 문맥의 길이를 늘였을 때 나타나는 확률분포와 문맥의 길이를 늘이지 않았을 태의 확률분포를 비교하여 그 차이가 크다면 문맥의 길이를 늘이고, 그렇지 않다면 문맥의 길이를 자동으로 줄인다. 즉, 더 많은 정보가 필요한 경우는 데이터의 차원을 높여 정확도를 올리며, 이로 인해 증가된 계산량은 필요 없는 데이터의 양을 줄임으로써 줄일 수 있다. 본 논문에서는 실험을 통해 n-gram모델의 자기 조직화 구조가 기본적인 모델보다 성능이 뛰어나다는 것을 확인하였다.

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Microbiological studies on the preservation of fish-paste products (생선묵의 보장성에 관한 세균학적 연구)

  • 안철우
    • Korean Journal of Microbiology
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    • v.9 no.2
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    • pp.47-54
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    • 1971
  • This study is concerned to the microbial population and its effects in the fish paste products. Experimental results were summarized as following orders ; 1) The number of bacteria in accordance with raw materials and coocking site waas known to as ; Wheat flor - $7.0{\times}10^8$/gram , Brayed fish meat - $2.0{\times}10^7$/gram, Cooking table - $6.1{\times}10^6$/$1.54cm^2$Chopped fish meat -$4.1{\times}10^6$/gram, Wooden plate - $5.5{\times}10^5$/218.32cm, Sodium chloride - $8.8{\times}10^4$/gram, Wheat starch - $4.5{\times}10^4$/gram, Fish meat - $2.3{\times}10^4$/gram. However, there were a few bacterial numbers less than 300 per gram of raw materials, such as monosodium glutamate, tap water, sugar, saccharine and eggs. 2) Bacterial population in the raw materials might be changed according to the conditions of preservation. 3) When the heat tratment is used for the preservation, the thermal effects were rarely found at the interior part of fish paste products. Conduction of heat into the interior part dose not rise about $84^{\circ}C$ and the survival of bacteria could be possible under the condition. Therefore, cooking being used requires further studies. 4) Number of bacteria in the fish paste products sold in the market was higher on April and May than those on June. Especially on June, the number of bacteriz in the interior part were found higher than those in the exterior part of the products.

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Synthesis and Antibiotic Activities of Poly (acrylic acid) Modified $\beta$-Lactam Cyclics ($\beta$-락탐계 항생물질의 폴리아크릴산 중합체의 합성 및 항균성)

  • 진정일;최성모;장민선;민신홍
    • YAKHAK HOEJI
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    • v.30 no.5
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    • pp.232-237
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    • 1986
  • A series of modified poly(acrylic acid)'s containing different levels of 6-aminopenicillanic acid (6-APA), 7-aminocephalosporanic acid (7-ACA) and 6-[D-(-)-$\alpha$-aminophenyl acetamido] penicillanic acid (ampicillin) as pendant groups were prepared. Antibiotic activities of the newly prepared drugs were examined against the various gram-positive and gram-negative bacteria. It was found that ampicillin modified composition posses antibiotic activities against the gram-negative as well as the gram-positive bacteria.

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Black gram (Vigna Mungo L.) foliage supplementation to crossbred cows: effects on feed intake, nutrient digestibility and milk production

  • Dey, Avijit;De, Partha Sarathi;Gangopadhyay, Prabir Kumar
    • Asian-Australasian Journal of Animal Sciences
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    • v.30 no.2
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    • pp.187-191
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    • 2017
  • Objective: An experiment was conducted to examine the effect of dietary supplementation of dried and ground foliage of black gram (Vigna mungo L.) on feed intake and utilization, and production performance of crossbred lactating cows. Methods: Eighteen lactating crossbred (Bos taurus${\times}$Bos indicus) cows (body weight $330.93{\pm}10.82kg$) at their second and mid lactation (milk yield $6.77{\pm}0.54kg/d$) were randomly divided into three groups of six each in a completely randomized block design. Three supplements were formulated by quantitatively replacing 0, 50, and 100 per cent of dietary wheat bran of concentrate mixture with dried and ground foliage of black gram. The designated supplement was fed to each group with basal diet of rice straw (ad libitum) to meet the requirements for maintenance and milk production. Daily feed intake and milk yield was recorded. A digestion trial was conducted to determine the total tract digestibility of various nutrients. Results: The daily feed intake was increased (p<0.05) with the supplementation of black gram foliage. Although the digestibility of dry matter, organic matter, crude protein, and ether extract did not vary (p>0.05), the fibre digestibility was increased (p<0.05), which ultimately improved (p<0.05) the total digestible nutrients content of composite diet. Although, the average milk yield (kg/animal/d) and composition did not differ (p>0.05) among the groups, milk yield was increased by 10 per cent with total replacement of wheat bran in concentrate mixture with of black gram foliage. The economics of milk production calculated as feed cost per kg milk yield (INR 10.61 vs 7.98) was reduced by complete replacement of wheat bran with black gram foliage. Conclusion: Black gram foliage could be used as complete replacement for wheat bran in concentrate mixture of dairy cows in formulating least cost ration for economic milk production in small holders' animal production.

In-Vitro, Anti-Bacterial Activities of Aqueous Extracts of Acacia catechu (L.F.)Willd, Castanea sativa, Ephedra sinica stapf and shilajita mumiyo Against Gram Positive and Gram Negative Bacteria

  • Dashtdar, Mehrab;Dashtdar, Mohammad Reza;Dashtdar, Babak;shirazi, Mohammad khabaz;Khan, Saeed Ahmad
    • Journal of Pharmacopuncture
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    • v.16 no.2
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    • pp.15-22
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    • 2013
  • Objective: Evaluations of the in-vitro anti-bacterial activities of aqueous extracts of Acacia catechu (L.F.)Willd, Castanea sativa, Ephedra sinica stapf and Shilajita mumiyo against gram-positive bacteria (Staphylococcus aureus, Streptococcus pneumonia) and gram-negative bacteria (Escherichia coli, klebsiella pneumoniae, Proteus mirabilis, Pseudomonas aeruginosa) are reasonable since these ethnomedicinal plants have been used in Persian folk medicine for treating skin diseases, venereal diseases, respiratory problems and nervous disorders for ages. Methods: The well diffusion method (KB testing) with a concentration of $250{\mu}g/disc$ was used for evaluating the minimal inhibitory concentrations (MIC). Maximum synergistic effects of different combinations of components were also observed. Results: A particular combination of Acacia catechu (L.F.) Willd, Castanea sativa, Ephedra sinica stapf and shilajita mumiyo extracts possesses an outstanding anti-bacterial activity. It's inhibiting effect on microorganisms is significant when compared to the control group (P<0.05). Staphylococcus aureus was the most sensitive microorganism. The highest anti-bacterial activity against gram-positive bacteria (Staphylococcus aureus, Streptococcus pneumonia) or gram-negative bacteria (Escherichia coli, Klebsiella pneumonia, Proteus mirabilis, and Pseudomonas aeruginosa) was exerted by formula number 2 (table 1). Conclusion: The results reveal the presence of anti-bacterial activities of Acacia catechu, Castanea sativa husk, Ephedra sp. and Mumiyo against gram-positive and gram-negative bacteria. Synergistic effects in a combined formula, especially in formula number 2 (ASLAN$^{(R)}$) can lead to potential sources of new antiseptic agents for treatment of acute or chronic skin ulcers. These results considering the significant anti-bacterial effect of the present formulation, support ethnopharmacological uses against diarrheal and venereal diseases and demonstrate use of these plants to treat infectious diseases.

Antibiotic Resistance of Bacterial Isolates from Nasal Discharges of Dogs with Respiratory Diseases (개의 비루에서 분리한 원인균의 항생제 내성)

  • 김문선;정종태;강태영;윤영민;이주명;이두식;손원근
    • Journal of Veterinary Clinics
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    • v.21 no.2
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    • pp.133-139
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    • 2004
  • Bacterial pathogens were isolated from 36 dogs with respiratory signs, that were submitted to Veterinary Clinics in Jeju, including Veterinary Medical Teaching Hospital in Cheju National University. Of 36 isolates, 16 (44.4%) bacterial pathogens were Gram-positive and 20 (55.6%) were Gram-negative. Gram-positive bacteria identified with API Staph were 12 S. intermedius (33.3%), 2 S. aureus (5.6%), 1 S. haemolyticum (2.8%), and 1 S. xylosus (2.8%). Gram-negative organisms identified with API 20E or API NE included 8 Bordetella bronchiseptica (22.2%), 6 Escherichia coli (16.7%), 4 Pasteurella spp. (11.1%), 1 Enterobacter intermedius (2.8%), and 1 Oligella ureolytica (2.8%). Both Staphylococcus spp. isolates and Gram-negative pathogens were resistant to one or more antibiotics, including ampicillin (AM), amoxicillin/clavulanic acid (AMC), chloramphenicol (C), cefazolin (CZ), erythromycin (E), gentamicin (GM), kanamycin (K), lincomycin (L), oxacillin (OX), trimethoprim/sulfamethoxazole (SXT), and tetracycline (TE). All Staphylococcus spp. were susceptible to AMC, OX and VA, while many isolates were highly resistant to L (87.5%), E (68.8%), P (62.5%), and AM (56.3%). Antibiotic-resistant patterns of staphylococcal isolates were shown ranges from single to 9-resistant patterns. Resistant rates to antibiotics of Gram-negative bacteria were usually higher than those of Staphylococcus spp. in this study. Most Gram-negative bacteria were highly resistant to L (90.0%), AM (85.0%), E (85.0%), P (85.0%), OX (80.0%), and CZ (75.0%). B. bronchiseptica isolates showed 5 to 8 antibiotics-resistant patterns and Pasteurella spp., 2 to 8-resistant patterns. In particular, all 6 E. coli isolates were resistant to more than 9 different kinds of antibiotics, including one strain resistant to all antibiotics tested.