12 research outputs found
Editorial: The role of non-coding RNAs in gynecological cancers: new perspectives in cancer therapy and prognosis
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COMPARISON OF EFFECTIVENESS OF LECTURE AND SEMINAR AS TEACHING-LEARNING METHODS IN PHYSIOLOGY WITH RESPECT TO COGNITIVE GAIN AND STUDENT SATISFACTION
No full textA study on the antimicrobial property of the cotton fabric imparted with Michaelia champaca leaf extract loaded nanoparticles
No full textIn the present work ethanol, methanol, ethyl acetate, chloroform and benzene extract of the Michaelia champaca leaves were screened for their antimicrobial activity. The ethanolic extracts of M. champaca leaves were proved to have the maximum antimicrobial activity; thus the ethanolic leaf extract was selected and the nanoparticles were synthesized using ionic gelification method. The nanoparticles were characterized physically and chemically using TEM and FTIR respectively. The herbal extract loaded nanopartricles were coated on to the non woven cotton fabric using the pad dry cure method. The antimicrobial activity of the untreated and treated (M. champaca leaf extracts coated fabric and leaf extract loaded nanoparticles coated fabric) fabric were assessed by the standard AATCC 147, AATCC 30 and laundering durability. The herbal leaf extract loaded nanoparticles coated fabric showed the better antimicrobial activity and particularly highest wash durability when compared with other treated fabric. The controlled and sustained releasing property of the herb extract loaded nanoparticles could be attributed to its very effective antimicrobial activity. These particles could further have numerous applications in the field of medical textiles. The study revealed that the fabric coated with herbal extract loaded nanoparticles could act against microorganism in the fabric
Correction: Parashar et al. Patient-Derived Ovarian Cancer Spheroids Rely on PI3K-AKT Signaling Addiction for Cancer Stemness and Chemoresistance. Cancers 2022, 14, 958
No full textThe authors would like to correct the author byline to include Dr [...
Optimization of ethanol production using pretreated corn cob and sugarcane bagasse hydrolysate by Candida parapsilosis strain BKR1
No full textStudies on lipase enzyme production by indigenously isolated Bacillus Cereus (BAIT GCT 127002 ) and Bacillus Cereus (BAIT GCT 127001)
No full textMicrobial lipases holds a prominent place among biocatalysts that act on carboxylic ester bonds. This present study involves about eight strains isolated form slaughter house waste water,Coimbatore producing lipase.Among those strains , two bacterial strains exhibiting high lipase production were identified as Bacillus Cereus (BAIT GCT 127002 ) and Bacillus Cereus (BAIT GCT 127001 ) by both biochemical analysis and 16S rRNA sequencing. Initial studies were done for optimizing lipase production using many components such as time course,Carbon sources ,pH and innoculum volume which revealed maximum lipase acitivity (43.37 U/ml) at 24 hours, using palm oil , at pH 8 and innoculum volume of 1 ml by Bacillus Cereus (BAIT GCT 127002 ).Further the percentage removal of oil from oil stained fabric was determined using partially purified lipase with or without detergents and the results indicated 20% ,30% removal with use of crude lipase and commercial detergent respectively.Hence, lipase from Bacillus Cereus(BAIT GCT 127002 )   can be regarded as an ideal ingredient that can be used in the laundry detergents. 
Multi-domain prognostic models used in middle aged adults without known cognitive impairment for predicting subsequent dementia
No full textObjectives: This is a protocol for a Cochrane Review (prognosis). The objectives are as follows:. Primary objective Identify all available multi-domain prognostic models (that is, models involving two or more modifiable risk factors for dementia) used in middle-aged adults (45 to 65 years) for the prediction of subsequent dementia. Secondary objectives Descriptively summarise the characteristics of these prognostic models. Appraise the predictive accuracy (discrimination and calibration) in the development and validation studies of these models. Identify implications of the use of dementia prognostic models for the management of people at risk of dementia or populations. The objective in PICOTS format (Table presented.). Investigation of sources of heterogeneity between studies The expected sources of heterogeneity are: measurement of candidate predictors in the model; type of dementia (e.g. early- versus late-onset dementia, Alzheimer's disease versus other forms of dementia); the country where the study was conducted; and method of diagnosis of dementia
Evaluation of trend and mortality pattern of communicable diseases in a teaching institution in Kerala
No full textContext:
Even in this era of epidemiologic transition communicable disease is still a major public health problem. Surveillance and timely prevention and control activities are the key to the reduction of morbidity and mortality of communicable diseases. Identifying the trend in communicable diseases and pattern of mortality for a period of ten years will be an insight into the ongoing surveillance.
Aim:
In this study we have analysed data from 2013 to 2022 to evaluate the trend and mortality pattern of communicable diseases in a teaching institution in Kerala.
Settings and Design:
A retrospective record-based cross-sectional study conducted at the Department of Community Medicine, Government Medical College, Kottayam.
Methods and Material:
All confirmed communicable disease cases reported from 2013 to 2022 were included in this study except COVID-19-positive cases. The communicable diseases were grouped as: airborne, waterborne, vector-borne, zoonosis, bloodborne diseases and others. SPSS version 20.0 software, Microsoft Word, and Excel were used in data handling and analysis.
Results:
Total cases reported were 48124. The majority of the morbidity was due to airborne diseases (17585,37%) followed by waterborne diseases (6381, 13%). The total number of deaths reported was 1842. Airborne and zoonotic diseases together accounted for more than 50% of the mortality. Case fatality rate of zoonosis (20.2%) was the highest followed by bloodborne diseases (10.2%).
Conclusions:
Communicable diseases still continue as a public health problem contributing to morbidity and mortality. Airborne diseases and zoonotic diseases constitute the maximum mortality
