A Hypertuned Pipeline Vector Using Meta Classifier Technique for Feature Selection in Multi Disease Prediction

Automation of health sector plays a very important role especially during this pandemic due to the side effects of either vaccination or attack of the COVID. Most of the researchers designed a system to predict whether a person suffers from a particular disease or not. Few researchers worked on prediction variants of a single disease based on symptoms but due to this COVID-19, different people are getting attacked with different diseases as a side effect. This proposed system aims to identify the multiple diseases that a person may suffer from based on the symptoms. In this paper, the dataset obtained from the open access repository “Kaggle” contains 17 symptoms combinations to identify the one of the 41 types of diseases as class label. All the symptoms may not be important for identification, so in this model, the important features are identified using the pipeline vector of different Machine Learning approaches are passed as base line classifier and decision tree classifier as meta line to the elimination function. The model has got “99.48%” accuracy for selecting the essential features using bagging and boosting algorithms

Sexual violence among married women: an unspoken sting

Sexual violence is not only a violation of human rights, but also a public health problem, with intimate partner violence and sexual violence among the most pervasive forms of violence against women. Worldwide, one in three women experience either physical or sexual partner violence or non-partner sexual violence. The lifetime prevalence of sexual partner violence reported by women, in age group of 15 to 49 years, in the WHO multi-country study ranged from 6% in Japan to 59% in Ethiopia, with rates in the majority of settings falling between 10% and 50%. The observed inter community; country and regional variation in the prevalence of violence imply that sexual violence within marriage can be addressed and preventable. The existing prevention programmes need to be tested and scaled up. The majority of women tend to avoid reporting these experiences due to associated shame, reprisal or gender inequity. Current review is an attempt to address the sexual violence among married women in a silent suffering. Various internets based popular search engines were used to explore data from literature, which includes PubMed, PubMed Central, Google Scholar and Medknow. Search was done using the key-word combinations ‘sexual violence within marriage’ and ‘intimate partner violence’. A total of 51 publications were evaluated for this article

STUDIES ON OPTIMIZATION OF L-ASPARAGINASE PRODUCTION BY ARTHROBACTER KERGUELENSIS VL-RK_09 ISOLATED FROM MANGO ORCHARDS

Objectives: To optimize the cultural parameters for improved production of L-asparaginase by Arthrobacter kerguelensis VL-RK_09 isolated from Mango orchards of Vissannapet, Krishna District, A. P., India.Methods: The strain A. kerguelensis was screened for L-asparaginase production on modified asparagine dextrose salts agar medium. L-asparaginase assay was performed as described by Peterson and Ciegler (1969) with slight modifications. Cell free broth (0.2 ml) was placed with 0.8 ml of 0.05M Tris-HCl and 1 ml of 0.04M L-asparagine and incubated for 15 min at 37oC and liberated ammonia was determined spectrophotometrically at 500 nm by nesslerization. Attempts were made to optimize cultural parameters affecting the production of L-asparaginase by the strain.Results: Maximal yield of L-asparaginase was recorded after 3days of incubation in asparagine dextrose salts broth with initial pH 7.0 and temperature 30 °C. Biosynthesis of L-asparaginase by the strain was improved (from initial 4.28 IU to 6.5 IU) when cultured in modified asparagine dextrose salts broth (initial pH 7.0) supplemented with 1.5% yeast extract and 2% xylose maintained at 30 ° C for 72 h. This is the first report on the production and optimization of L-asparaginase by A. kerguelensis.Conclusion: In the present study, the optimal cultural and nutritional conditions for the production of L-asparaginase by A. kerguelensis VL-RK_09 were recorded. This is the first report on the production and optimization of L-asparaginase by A. kerguelensis and further studies on purification and characterization of the enzyme is in progress.Â

STREPTOMYCES CELLULOSAE VJDS-1, A PROMISING SOURCE FOR POTENTIAL BIOACTIVE COMPOUNDS

Objectives: The aim of the present study was to isolate, identify and analyze the phylogenetic characteristics of the potent actinobacterial strain VJDS-1 with antagonistic activities isolated from Mangrove ecosystems of Nizampatnam, Guntur Dist, A.P., India.Methods: Soil samples collected were pre treated with calcium carbonate and used for isolation of potent actinobacterial strain designated as VJDS-1. Identification of the strain was carried out by studying the micro morphological, cultural, biochemical and physiological methods. The Phylogenetic study of the strain was carried out by employing 16S rDNA sequence based analysis. Phylogenetic tree was constructed using the MEGA (Molecular Evolutionary Genetic Analysis) software version 6.Results: The potent actinobacterial strain was identified as Streptomyces cellulosae VJDS-1 and the bioactive metabolites produced by the strain inhibited Gram positive bacteria (Staphylococcus aureus, Bacillus megaterium), Gram negative bacteria (Xanthomonas campestris, Proteus vulgaris, Pseudomonas aeruginosa and Escherichia coli) and fungi (Aspergillus niger, Botrytis cinerea, Fusarium solani F. oxysporum and Candida albicans).Conclusion: The results of the experiment showed that the crude ethyl acetate extract of Streptomyces cellulosae VJDS-1 showed significant antimicrobial potential hence it can be used for isolation of compounds with pharmaceutical importance.Â

SACCHAROMONOSPORA OCEANI VJDS‑3, A POTENT ACTINOBACTERIAL STRAIN FROM MANGROVE ECOSYSTEM

Objective: The aim of the present study was to isolate, identify, and analyze the phylogenetic characteristics of a rare actinobacterial strain VJDS‑3with antagonistic activities isolated from Mangrove ecosystems of Nizampatnam, Guntur District, Andhra Pradesh, India.Methods: Soil samples collected were pre‑treated with calcium carbonate and used for isolation of potent actinobacterial strain designated as VJDS‑3.Identification of the strain was carried out by studying the micro‑morphological, cultural, biochemical, and physiological methods. The phylogeneticstudy of the strain was carried out by employing 16S rDNA sequence‑based analysis. The phylogenetic tree was constructed using the MolecularEvolutionary Genetic Analysis software version 6.Results: The potent actinobacterial strain was identified as Saccharomonospora oceani VJDS‑3, and the bioactive metabolites produced by the straininhibited Gram‑positive bacteria (Bacillus megaterium, Bacillus subtilis), Gram‑negative bacteria (Xanthomonas campestris, Pseudomonas aeruginosa,Proteus vulgaris, and Escherichia coli), and fungi (Aspergillus niger, Botrytis cinerea, Fusarium solani, Fusarium Oxysporum, and Candida albicans).Conclusion: The results of the experiment showed that the crude ethyl acetate extract of S. oceani VJDS‑3 showed significant antimicrobial potential,and hence it can be used for isolation of compounds with pharmaceutical importance.Keywords: Mangrove ecosystems, Phylogenetic study, Saccharomonospora oceani VJDS‑3, Bioactive compounds

OPTIMIZATION, ISOLATION AND CHARACTERIZATION OF BIOACTIVE COMPOUNDS FROM STREPTOMYCES LAVENDULOCOLOR VHB-9

Objectives: Optimization, isolation, and characterization of bioactive compounds from Streptomyces lavendulocolor VHB-9 isolated from granite mines of Mudigonda village of Khammam district of Telangana state.Methods: The potent strain was identified as S. lavendulocolor VHB-9 by polyphasic taxonomy. The influence of culture conditions on growth and bioactive compounds production was investigated. Purification of bioactive compounds was done using column chromatography. The structures of the compounds were elucidated on the basis of spectroscopic analysis including Fourier transform infrared, electron spray ionization mass spectrophotometry,1H nuclear magnetic resonance (NMR), and13C NMR. The antimicrobial activity of the compounds produced by the strain was tested against both Gram-positive and Gram-negative bacteria and fungi in terms of minimum inhibitory concentration.Results: Isolation and identification of two compounds, namely (2R, 3R)-2, 3-Butanediol (B1A), and nonadecanoic acid (B1B). Fraction B4 was isolated partially purified fraction and identified by the gas chromatography-mass spectrometry analysis. B1B compound exhibited the highest activity against Bacillus megaterium, Staphylococcus aureus, Bacillus subtilis, Pseudomonas aeruginosa, and Candida albicans when compared to B1A and B4 compounds

Moraxella catarrhalis: An emerging pathogen in bronchopulmonary infections

Background: Moraxella catarrhalis (M. catarrhalis) is a common pathogen in the human upper respiratory tract. This microbe is also implicated in chronic lower respiratory tract infections as well as conjunctivitis, sinusitis, meningitis, otitis media, osteomyelitis, endocarditis, etc. Objectives: This study was carried out to know various facets of M. catarrhalis infection among adults with bronchopulmonary infections and the related antibiotic susceptibility pattern. Materials and Methods: A hospital-based study was carried out among adult participants with history of respiratory tract infection admitted to a tertiary care teaching hospital in Karnataka during the period of May 2007 to April 2010. A total of 912 early morning sputum samples were collected, processed with standard procedures, and analyzed. Results: Out of all the sputum samples, M. catarrhalis was the third most important pathogen (16.01%). Most of these M. catarrhalis isolates were sourced from participants with bronchopneumonia (31.51%), followed by chronic bronchitis (25.34%), bronchiectasis (25.34%), and bronchial asthma (17.81%). M. catarrhalis infection was predominantly noted among males (78.08%) and in older age group (22.60%), i.e., 61-70 years. All strains of M. catarrhalis were sensitive to tetracycline, co-trimoxazole, chloramphenicol, and gentamicin; 75.34% were resistant to penicillin, ampicillin, and amoxycillin. Surprisingly, all strains were resistant to erythromycin; 37 (25.34%) were beta-lactamase positive. Conclusions: M. catarrhalis is one of the emerging pathogens in bronchopulmonary infections, and the beta-lactamase-producing strains imply its ability for antibiotic resistance

Glucose indices, frank and undetected diabetes in relation to hypertension and anthropometry in a South Indian rural population

Diabetes has emerged as one of the world′s biggest health problems and its prevalence is increasing at an alarming rate. This study was conducted to find out the magnitude of frank and undetected diabetes mellitus, including impaired glucose tolerance (IGT) among persons in rural Karnataka, and its relationship with associated risk factors like hypertension and anthropometry. This was a population-based, cross-sectional study on 1370 participants in the field practice area of KBN Medical College, conducted from April 2009 to March, 2010. Diabetes mellitus was noted among 19.78% of the participants, with an additional 12.04% with impaired glucose tolerance. Hypertension observed among participants with diabetes and impaired glucose tolerance was 65.13 and 53.94%, respectively. Effective primary prevention strategies have to be intensified among high-risk population groups, to promote awareness through behavior change communication