Accentuation of general anaesthetic activity of ketamine by glutamate NMDA (N-methyl D-aspartate) receptor antagonist

Background: The aim of the present study was to evaluate the potentiation of general anaesthetic activity of ketamine by NMDA receptor antagonist ‘amantadine’ in wistar albino rats.Methods: The wistar albino rats of either sex were divided into three groups of five animals in each group. Group I received ketamine 80mg/kg, group II received ketamine 40mg/kg along with amantadine 40mg/kg and group III received ketamine 80mg/kg along with amantadine 40mg/kg to evaluate the potentiation of general anaesthetic effect of ketamine. The sleep latency time and the total sleeping time were measured in all the three groups.Results: The sleep latency time of group III is significantly decreased (p <0.035) and as equal to that of group II when compared to group I. The sleeping time of group III is significantly increased (p <0.001) when compared to group I.Conclusions: Amantadine - the NMDA receptor antagonist potentiates the general anaesthetic activity of ketamine

Potentiation of general anaesthetic activity of ketamine by memantine

Background: The study was done with the objective to evaluate synergistic activity of ketamine induced general anesthesia by memantine in wistar albino rats.Methods: The wistar albino rats of either sex were divided into four groups of five animals. Group 1 received ketamine 40 mg/kg, group 2 received ketamine 80 mg/kg, group 3 received ketamine 40 mg/kg along with memantine 10 mg/kg and group 4 received 80 mg of ketamine along with memantine 10 mg/kg to evaluate the synergistic activity of ketamine induced general anesthesia by memantine. The sleep latency time and duration of sleep were measured in all the groups.Results: The sleep latency time of group 4 is significantly decreased (p<0.001) compared to all other groups. The duration of sleep of group 4 is significantly increased (p<0.001) compared to group 1 and group 3, but less than that of group 1.Conclusions: Memantine possess synergistic activity of ketamine induced general anaesthesia

COMPARISON OF ANTIBACTERIAL ACTIVITY OF HONEY AGAINST AEROBIC AND ANAEROBIC BACTERIA

Objective: To compare the antibacterial activity of honey against aerobic and anaerobic bacteria. Methods: Honey is extracted from the honey comb by trained persons. Antimicrobial activity of honey is performed by Agar Cup Diffusion technique for 3 bacteria Staphylococcus aureus, E. coli and Clostridium perfringens. Results: By performing the technique with proper guidance, it is observed that the Staphylococcus aureus specimen shows sensitivity to honey whereas the other two specimens Escherichia coli and clostridium perfringens doesn’t show any sensitivity to honey. Conclusion: Due to its vast antibacterial activity of honey, it can be used along with other antibiotics to increase its efficiency

COMPARISON OF ANTIBACTERIAL ACTIVITY OF GARLIC AGAINST AEROBIC AND ANAEROBIC BACTERIA

Objective: To compare the antibacterial activity of garlic against aerobic and anaerobic bacteria. Methods: Antimicrobial activity of garlic is performed by Agar cup diffusion technique for 3 bacteria Staphylococcus aureus, E. coli and clostridium perfringens. Results: By performing the technique with proper guidance, it is observed that the Staphylococcus aureus specimen shows sensitivity to garlic whereas the other two specimens Escherichia coli and clostridium perfringens doesn’t show any sensitivity to garlic. Conclusion: Due to its vast antibacterial activity of garlic, it can be used along with other antibiotics to increase its efficiency

Cost optimization in dynamic . . .

Cloud Computing is an emerging concept combining many fields of computing. It provides services, software and processing capacity over the internet. Deploying Virtual Machines in bulk is a very tedious and cumbersome job. Deploying a Virtual Machines on a Data Center involves various task

Assessment of medical students’ attitude towards didactic lectures taken in pharmacology in a private medical college

Background: To assess the attitude of second year medical students towards the teaching Principles in Pharmacology didactic lecture classes.Methods: It was a descriptive epidemiological and questionnaire based study. Second year students who were attending pharmacology lecture classes for a period of one month (nearly 8 lectures) were given questionnaire and ask to fill it by assessing the theory classes which was conducted throughout that month. Each question was graded with mark and finally total score was converted to 50 marks. Five-level Likert’s criteria were used to analyze few questions in the questionnaire. Data were analyzed by frequency distribution.Results: Out of 115 students who attended the questionnaire session, 61% students were having a very good and better attitude towards the faculty talking Pharmacology lecture classes and remaining students have a few lacking areas in the teaching mode which should be analyzed.Conclusions: Students have good attitude towards the faculty taking didactic lectures and the lacking areas can be future improved by efficient planning of interactive and interesting lecture methods for the usefulness of students as well as the teacher

PREVALENCE AND ANTIBIOTIC SUSCEPTIBILITY PATTERN OF HIGH LEVEL AMINOGLYCOSIDE RESISTANCE AMONG GRAM POSITIVE ORGANISMS IN A TERTIARY CARE CENTRE

Objective: The study is done to determine the prevalence and the antimicrobial susceptibility against the gram positive organisms with high level amino glycosides resistance. Methods: This is a prospective study involving the analysis of clinical samples for gram positive organisms like Streptococcus species, Enterococcus species and Staphylococcus species and determining their antimicrobial susceptibility pattern. Results: From the collected clinical samples, all the gram positive organisms show resistance to gentamicin. Most of the Staphylococcus species showed a wide resistance to erythromycin followed by ceftrioxazone and many Enterococcus species shows resistance to penicillin, erythromycin, ciprofloxacin. Conclusion: The high level aminoglycoside resistant (HLAR) gram positive organisms showed susceptibility to few drugs that are prevalent in various clinical samples. Surveillance of antimicrobial resistance and sensitivity is essential in managing and control of infection

An Ensemble Learning Approach for Fast Disaster Response using Social Media Analytics

Natural disaster happens, as a result of natural hazards that cause financial, environmental or human losses. Natural disasters strike unexpectedly, affecting the lives of tens of thousands of people. During the flood, social media sites were also heavily used to disseminate information about flooded areas, rescue agencies, food and relief centres. This work proposes an ensemble learning strategy for combining and analysing social media data in order to close the gap and progress in catastrophic situation. To enable scalability and broad accessibility of the dynamic streaming of multimodal data namely text, image, audio and video, this work is designed around social media data. A fusion technique was employed at the decision level, based on a database of 15 characteristics for more than 300 disasters around the world (Trained with MNIST dataset 60000 training images and 10000 testing images).&nbsp; This work allows the collected multimodal social media data to share a common semantic space, making individual variable prediction easier. Each&nbsp; merged numerical vector(tensors) of text and audio&nbsp; is sent into the K-CNN algorithm, which is an&nbsp; unsupervised learning algorithm (K-CNN), and the&nbsp; image and video data is given to a deep learning&nbsp; based Progressive Neural Artificial Search (PNAS).&nbsp; The trained data acts as a predictor for future&nbsp; incidents, allowing for the estimation of total&nbsp; deaths, total individuals impacted, and total&nbsp; damage, as well as specific suggestions for food,&nbsp; shelter and housing inspections. To make such a prediction, the trained model is presented a satellite image from before the accident as well as the geographic and demographic conditions, which is expected to result in a prediction accuracy of more than 85%