A Study to Assess the Effectiveness of using Cold Needle for giving Intramuscular Injection to Reduce Pain Perception among Adults admitted in Medical Wards at Rajiv Gandhi Government General Hospital, Chennai

An interventional study was carried out to find the effectiveness of using cold needle for giving intramuscular injection to reduce pain perception. Simple random sampling technique was used, 60 male and female subjects who are receiving intramuscular injection admitted in Medical wards at Rajiv Gandhi Government General Hospital were selected. 30 subjects for each experimental and control group. True experimental design was used to conduct the study. Using cold needle technique intramuscular injection was given for experimental group. For Control group routine technique was given. Post assessment was done after interventions for both groups by using Wong Baker’s Faces Pain Scale. Data was analysed with both descriptive and inferential statistical methods. Independent T test was used to compare the effectiveness between experimental and control group and Karl Pearson’s co efficient of correlation was used to find out the relationship between demographic variable. After cold needle technique the mean pain score in experimental group was 0.67 and in control group was 6.73 after routine technique (Independent t test t = 24.23, P = 0.001). This shows that using cold needle technique is more effective in reducing pain perception among subjects received intramuscular injection. The investigator thereby concludes that using cold needle technique has reduced the level of pain perception on subjects received intramuscular injection. Thus it encompasses commitment by nurse who can practice Cold needle technique to reduce the level of pain perception

Potential of Technology Startups to Bring Down Under- Employment among Engineering Students

For an effective use of India‟s youth population, better infrastructure, opportunities for development and employment must be provided. According to All India Council for Technical Education, more than 60% of eight lakh engineers graduating every year remain unemployed (2017). This is a loss of 20 lakh man days annually. This occurs not only due to the shortage of jobs but also as a result of the unemployability of students. The skills of engineers need to be used through start-ups that would provide an opportunity for innovation. This paper focusses on the problems faced by start-ups in engineering colleges and the opportunities for technology start-ups

Investigation on Battery for Electric Vehicle Application

Battery powered electric vehicles are becoming increasingly important in the automotive industry. It is hard to decide which battery meets all the most important characteristics from different perspectives such as energy storage efficiency, construction characteristics, cost price, safety and service life of today’s Electric Vehicles. Investigation on different types of batteries are discussed in this paper. Among the most important components of a car is the battery. Only the stored electrical energy in the battery provides the power for BEVs which is the unique source of energy. Various types of batteries are used in electric cars depending on their systems. The lithium-ion battery is the most common electric car battery. A battery which is considered zero emission is abbreviated as ZEBRA. In this paper, we can gain knowledge over the different types of battery options available for electric vehicles, along with their characteristics

Diagnostic circulating biomarkers to detect vision-threatening diabetic retinopathy: Potential screening tool of the future?

With the increasing prevalence of diabetes in developing and developed countries, the socio-economic burden of diabetic retinopathy (DR), the leading complication of diabetes, is growing. Diabetic retinopathy (DR) is currently one of the leading causes of blindness in working-age adults worldwide. Robust methodologies exist to detect and monitor DR; however, these rely on specialist imaging techniques and qualified practitioners. This makes detecting and monitoring DR expensive and time-consuming, which is particularly problematic in developing countries where many patients will be remote and have little contact with specialist medical centres. Diabetic retinopathy (DR) is largely asymptomatic until late in the pathology. Therefore, early identification and stratification of vision-threatening DR (VTDR) is highly desirable and will ameliorate the global impact of this disease. A simple, reliable and more cost-effective test would greatly assist in decreasing the burden of DR around the world. Here, we evaluate and review data on circulating protein biomarkers, which have been verified in the context of DR. We also discuss the challenges and developments necessary to translate these promising data into clinically useful assays, to detect VTDR, and their potential integration into simple point-of-care testing devices

Deep Learning

Deep Learning was developed as a Machine learning approach to influence advanced input-output mappings. It had been for learning concerning multiple levels of illustration and abstraction to create sense of the information such as images, text and sound. Deep learning excels at distinguish patterns in unstructured information, that most of the people grasp as media like images, sound, video and text

Bioactive potential of selected actinobacterial strains against Mycobacterium tuberculosis and other clinical pathogens

1307-1311Marine actinobacteria produces diverse array of metabolites with novel chemical structures with potential bioactivities. Exploring the understudied ecosystems may increase the chance of getting novel actinobacteria and new metabolites.The present study explores the bioactive potential of actinobacteria isolated from the marine ecosystem of Andaman and Nicobar Islands, Bay of Bengal, against Mycobacterium tuberculosis and other clinical pathogens. The crude extracts from 15 marine actinobacterial strains were produced through agar surface fermentation using YEME agar and extracted using ethyl acetate. The crude extracts were tested against the standard strain M. tuberculosis H37Rv, clinical drug sensitive M. tuberculosis, and MDR M. tuberculosis strains by luciferase reporter phage (LRP) assay at 500 µg/ml concentration. The anti-microbial activity against other clinical pathogens, namely, Staphylococcus aureus, Escherichia coli, Salmonella paratyphi, Klebsiellapneumoniae, Pseudomonas aeruginosa, Candida albicans, and Cryptococcusneoformans and non-tubercular mycobacteria, M. smegmatis was studied by agar plug method. Among the 15 extracts that were tested for anti-tubercular activity, the crude ethyl acetate extract of the 14 actinobacterial strains showed anti-tubercular activity against at least one of the three M. tuberculosis strains. Exceptionally, the ethyl acetate extract of strain SACC 168 inhibited all three M. tuberculosis strains tested. In anti-microbial screening, the crude extracts of eight strains showed anti-microbial activity including six strains, which were active against the non-tuberculous mycobacteria. Further purification and characterization of the active molecule from the potential extracts will pave way for the potential natural product candidate for tuberculosis and other microbial infections

Frequency of polymorphic variants in corticotropin releasing hormone receptor 1, glucocorticoid induced 1 and Fc fragment of IgE receptor II genes in healthy and asthmatic Tamilian population

Background: Asthma is a chronic airway inflammatory disease characterized by increased hyper-responsiveness and recurrent episodes of reversible obstructions. Asthma pharmacogenomic studies report significant association of single nucleotide polymorphisms (SNPs) in genes corticotropin releasing hormone receptor 1 (CRHR1), Fc fragment of IgE receptor II (FCER2) and glucocorticoid induced 1 (GLCCI1) with inhaled corticosteroid (ICS) response. The present study was aimed to establish the allelic and genotypic frequencies of polymorphisms rs242941, rs28364072 & rs37972 in CRHR1, FCER2 and GLCCI1 genes, respectively in Tamilian healthy population and asthma patients and to compare with established frequencies of global populations.Methods: The study groups consisted of healthy volunteers and persistent asthma patients who were drug naïve or without ICS treatment in the last ≥2 months, attending JIPMER hospital (n=111 and 78, respectively). SNP genotyping was done using PCR-RFLP (polymerase chain reaction-restriction fragment length polymorphism) and real time-PCR methods.Results: Allelic and genotypic frequencies for all the studied variants found to be in hardy-weinberg equilibrium with minor allele frequencies (MAF) of rs 242941, rs 28364072 and rs 37972 at 0.51, 0.33 and 0.38, respectively, in healthy population. No significant difference in gene frequencies was obtained between healthy control and asthma patient groups. Significant difference in allele frequencies was observed between Tamilian healthy and specific global populations. West African frequency was found to be significantly different for all 3 SNPs (p<0.0001).Conclusions: MAF of rs 242941, rs 28364072 and rs 37972 were 0.51, 0.33 and 0.38, respectively in Tamilian population which were significantly different from various global populations. The frequency distribution found helps to further with ICS response association studies in larger cohorts of asthma patients

IDENTIFICATION OF ANTIULCER ACTIVITY BY INSILICO METHOD IN SELECTED MEDICINAL PLANTS

Ulcer occurs when stomach acid damages the lining of the digestive tract caused by the bacteria Helicobacter pylori. Many pharmacological activities such as antiulcer activity can act against ulcer. Medicinal plants like Mimosa pudica and Vachellia nilotica has the antiulcer activity in a wide range. To study the antiulcer activity in medicinal plants using insilco studies by comparing the phytocompounds of plants with histamine 2 receptor as a binding protein, which is present in the stomach lining of homosapiens. Histamine 2 receptor was modelled using Swiss model and the ligand structures are obtained from PUB-CHEM, viewed easily via PYMOL. All the phytocompounds showed good binding energy with modelled protein on the docking methodology. Specifically ascorbic acid exhibited the lower binding energy of value -3.24 kcal/mol, indole and catechin shows highest binding energy of value -4.99 kcal/mol and -4.98 kacl/mol respectively. The results can be useful for the design and development of phytocompounds having better inhibitory activity against several types of ulcer

Automatic and Efficient Cleansing of Illustration Images in Web

The scope and nature of image data is crucial to understand and to determine the complexity of image search design. Interest in image retrieval has increased in large due to the rapid growth of the World Wide Web. There are huge number of high quality images for different image category available in web. When a search query is given, the information retrieval system gives us both relevant and irrelevant images to the users. In order to satisfy the requirement of the user and to give relevant details, there are many interactive and automatic methods that exists. The interactive methods are capable of building large collection of images with ground truth labels, but they depend heavily on human efforts. While Automatic methods leverage an object category model trained on text and visual features. The objective of this work is to review the works both interactive and automatic methods proposed for generating a large number of images for a specified object class