Physiological parameters response to the Influence of traditional Badaga dance on school students

This study was designed to investigate the influence of traditional badaga dance on physiological parameters of school students. To achieve the purpose of the study 30 school students were selected from The Nilgiris district. The subjects was randomly assigned to two equal groups (n=15). Group- I underwent traditional badaga dance (TBDG) and group - II was acted as control group (CG). The traditional badaga dance was given to the experimental group for 3 days per week (Monday, Wednesday and Friday) for the period of eight weeks. The control group was not given any sort of training except their regular routine work. The physiological parameters vital capacity (tested by wet spirometer) and resting pulse rate (tested at radial pulse) were assessed before and after the training period. The data collected from the subjects were statistically analyzed using‘t’ test to find out whether significant mean difference existed at 0.05 level of confidence. The result of vital capacity and resting pulse rate speculated significant improvement due to traditional badaga dance with the limitations of diet, climate, life style status and previous training. The results of the present study are in confirmatory with the findings of. Thus it is concluded that traditional Badaga dance significantly improves vital capacity and resting pulse rate of school students

Platelet count as a prognostic indicator in pregnancy induced hypertension

Background: Hypertensive disorders are most common medical complications of pregnancy, and are one of the major causes of maternal and fetal morbidity and mortality. Thrombocytopenia complicating hypertensive disorders of pregnancy are responsible for approximately 20% of all cases of thrombocytopenia during pregnancy.Our study was done to assess the utility of platelet count as a prognostic indicator in pregnancy induced hypertension to recognize and manage early the complications arising and to have a better pregnancy outcome.Methods: This study includes 76 cases of pregnancy induced hypertension over a period of 18 months. Platelet estimation was done for all cases and patients with documented platelet count of less than 1,50,000/cumm was documented as thrombocytopenia.Results: Of the 76 cases of pregnancy induced hypertension, 32 (42.1%) were diagnosed with thrombocytopenia, and an increased incidence of maternal and fetal morbidity & mortality was observed.Conclusions: Our study and the results show that the assay of platelets can be considered as one of the prognostic tool in management of hypertensive disorders of pregnancy

EFFECTIVENESS OF AUXIN INDUCED IN VITRO ROOT CULTURE IN CHICORY

An efficient protocol has been developed for the root culture of (Cichorium intybus L. cv. Focus), the leaf and hypocotyl explants from 25 days old in vitro raised seedlings were cultured on half-strength Murashige and Skoog (MS) medium supplemented with different concentrations and combinations of Indole-3-acetic acid (IAA), Indole-3-butyric acid (IBA), α-Napthalenacetic acid (NAA). 0.5 mg/l NAA and 0.1 mg/l IBA induced highest percentage of rooting from matured leaf explants, under total dark condition. After three weeks well established roots were separated. Fresh root tissue, in amount of 0.5 was subcultured in half-strength MS liquid medium supplemented with 0.2 mg/l NAA and 0.5 mg/l IBA, under continuous agitation at 110 rpm and total dark condition. The biomass of root culture was increased to 5.820 g after 6 weeks of culture. The root culture was maintained up to the 8 weeks

Long Non Coding RNA in Triple Negative Breast Cancer: A Promising Biomarker in Tumorigenesis

Globally, Triple-negative breast cancer (TNBC) is an unsurpassed variant of breast cancer (BC) with a very high fatality rate, and disease burden. Nevertheless, the deficit of diagnostic markers and focused treatment are major hurdles for potent therapeutics. They are also the reason for bad outcomes and causes of a worse prognosis and a high rate of flare up in patients with TNBC diagnosis. Long non-coding RNAs (lncRNA) are a new class of molecules that have recently gained interest in healthcare management due to their potential as biomarkers for human diseases especially cancers. The growing interest in lncRNA in clinical practice has created an unmet need for developing assays to test lncRNA quickly and accurately for early diagnostics. These lncRNA modulate multiple stages of tumor development, including growth, proliferation, invasion, angiogenesis, and metastases, by controlling several genes and changing metabolic networks. Highly invasive phenotype and chemo resistance are prominent characteristics of TNBC subtypes that require accurate diagnostic and prognostic instruments involving lncRNA. This review focusses on the evolving purpose and coalition of lncRNAs in TNBC and accentuates their capable effects in diagnosis and treatment of cancer. Moreover, the extensive literature analysis of our review creates an opportunity in the translational application concerning the TNBC lncRNAs described until now. The depiction of lncRNAs enrolled in TNBC is comprehensive, and sufficient substantiation studies are the need of the hour to authenticate the current outcomes and create imminent upcoming of elemental research setting into clinical practice

Size and Shape of Ammonium Perchlorate and their Influence on Properties of Composite Propellant

Most of the composite propellant compositions contain solid loading up to 86 per cent. The main solid ingredients of composite propellant are ammonium perchlorate (AP) and aluminium powder. Therefore, it is a must to characterise these to improve processibility and quality of composite propellant. Effect of particle size on propellants slurry viscosity and ballistic parameters are well documented, however, the effect of oxidizer particle shape is not reported. In the present study, different methods for size and shape characterisation are discussed and effect of size and shape of AP on composite propellant properties are studied. The data indicate that as size of AP decreases, propellant slurry viscosity increases and burn rate increases. The particles having higher shape factor provides less endof mix (EOM) viscosity of propellant slurry and burn rate. Further, effect of size of ground AP on shape is also investigated. From the data thus obtained, it is inferred that as size of ground AP decreases, shape factor decreases, and particles become more irregular in shape.Defence Science Journal, 2009, 59(3), pp.294-299, DOI:http://dx.doi.org/10.14429/dsj.59.152

Broad and potent cross clade neutralizing antibodies with multiple specificities in the plasma of HIV-1 subtype C infected individuals.

Broadly Cross clade Neutralizing (BCN) antibodies are recognized as potential therapeutic tools and leads for the design of a vaccine that can protect human beings against various clades of Human Immunodeficiency Virus (HIV). In the present study, we screened plasma of 88 HIV-1 infected ART naïve individuals for their neutralization potential using a standard panel of 18 pseudoviruses belonging to different subtypes and different levels of neutralization. We identified 12 samples with good breadth of neutralization (neutralized >90% of the viruses). Four of these samples neutralized even the difficult-to-neutralize tier-3 pseudoviruses with great potency (GMT > 600). Analysis of neutralization specificities indicated that four samples had antibodies with multiple epitope binding specificities, viz. CD4-binding site (CD4BS), glycans in the V1/V2 and V3 regions and membrane proximal external region (MPER). Our findings indicate the strong possibility of identifying highly potent bNAbs with known or novel specificities from HIV-1 subtype C infected individuals from India that can be exploited as therapeutic tools or lead molecules for the identification of potential epitopes for design of a protective HIV-1 vaccine

A Deep Auto-Optimized Collaborative Learning (DACL) model for disease prognosis using AI-IoMT systems

In modern healthcare, integrating Artificial Intelligence (AI) and Internet of Medical Things (IoMT) is highly beneficial and has made it possible to effectively control disease using networks of interconnected sensors worn by individuals. The purpose of this work is to develop an AI-IoMT framework for identifying several of chronic diseases form the patients’ medical record. For that, the Deep Auto-Optimized Collaborative Learning (DACL) Model, a brand-new AI-IoMT framework, has been developed for rapid diagnosis of chronic diseases like heart disease, diabetes, and stroke. Then, a Deep Auto-Encoder Model (DAEM) is used in the proposed framework to formulate the imputed and preprocessed data by determining the fields of characteristics or information that are lacking. To speed up classification training and testing, the Golden Flower Search (GFS) approach is then utilized to choose the best features from the imputed data. In addition, the cutting-edge Collaborative Bias Integrated GAN (ColBGaN) model has been created for precisely recognizing and classifying the types of chronic diseases from the medical records of patients. The loss function is optimally estimated during classification using the Water Drop Optimization (WDO) technique, reducing the classifier’s error rate. Using some of the well-known benchmarking datasets and performance measures, the proposed DACL’s effectiveness and efficiency in identifying diseases is evaluated and compared

Effectiveness of isoniazid preventive therapy on incidence of tuberculosis among HIV-infected adults in programme setting

Background & objectives: As India and other developing countries are scaling up isoniazid preventive therapy (IPT) for people living with HIV (PLHIV) in their national programmes, we studied the feasibility and performance of IPT in terms of treatment adherence, outcome and post-treatment effect when given under programmatic settings. Methods: A multicentre, prospective pilot study was initiated among adults living with HIV on isoniazid 300 mg with pyridoxine 50 mg after ruling out active tuberculosis (TB). Symptom review and counselling were done monthly during IPT and for six-month post-IPT. The TB incidence rate was calculated and risk factors were identified. Results: Among 4528 adults living with HIV who initiated IPT, 4015 (89%) successfully completed IPT. IPT was terminated in 121 adults (3%) due to grade 2 or above adverse events. Twenty five PLHIVs developed TB while on IPT. The incidence of TB while on IPT was 1.17/100 person-years (p-y) [95% confidence interval (CI) 0.8-1.73] as compared to TB incidence of 2.42/100 p-y (95% CI 1.90-3.10) during the pre-IPT period at these centres (P=0.017). The incidence of TB post-IPT was 0.64/100 p-y (95% CI 0.04-1.12). No single factor was significantly associated with the development of TB. Interpretation & conclusions: Under programmatic settings, completion of IPT treatment was high, adverse events minimal with good post-treatment protection. After ruling out TB, IPT should be offered to all PLHIVs, irrespective of their antiretroviral therapy (ART) status. Scaling-up of IPT services including active case finding, periodic counselling on adherence and re-training of ART staff should be prioritized to reduce the TB burden in this community