40 research outputs found

    A Comparative Study on Effect of Selected Exercises on Flexibility and Co-Ordination of Badminton and Tennis Players

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    Sports are essentially that aspect of human activity, which strengthens the integration of the body and the mind. Flexibility refers to the absolute range of movement in a joint or series of joints, and length in muscles that cross the joints. Co-ordination is the ability to integrate muscles movement into an efficient pattern of movement. The study was conducted in district Shopian in order to know the impact of selected exercises on flexibility and coordination among tennis and badminton players. It was found that badminton players has shown significant improvement in both flexibility and coordination among the players than tennis players. Keywords: Tennis, Badminton, coordination, flexibility, Shopian

    A Study of Performance of SIDBI in the Development of MSMEs in India

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    The Micro, Small, and Medium-Sized Enterprises (MSMEs) sector has a significant impact on the expansion of the Indian economy. On April 2, 1990, the Indian government formed the Small Industries Development Bank of India (SIDBI) to fulfil the financial, development, and promotion requirements of the MSMEs sector. The SIDBI acts as a nodal organisation, facilitator, and accelerator for the expansion of MSMEs. Secondary sources were used in the research. The majority of the information was taken from the SIDBI Annual Reports. According to the report, the majority of performance ratios and indicators have an upward trend and a positive growth rate, which shows how effectively SIDBI has performed. The bank will undoubtedly achieve new heights in the MSMEs sector over the ensuing years

    Analysis of the Strain Derivative of the Szigeti Effective Charge Parameter in Alkali Halides

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    Effect of nanosilica on the properties of PEI/silicone rubber blend based nanocomposites

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    The aim of the present study is to prepare nanocomposites based on binary blends of poly ether imide (PEI)/silicone rubber reinforced with varied loadings of modified nanosilica particles. Nanocomposites have been prepared by melt blending process using twin screw extruder. Thermal behaviour of the developed nanocomposites has been studied with the help of TGA and DMA. Morphological properties have been visualized by SEM. Mechanical properties of the nanocomposites have been determined by universal testing machine. It has been observed that almost all the properties have been found to increase upto 25% with the incorporation of modified nanosilica particles in polymer matrices. Enhancement in various properties may be attributed to better interfacial adhesion and fairly good polymer filler interactions

    PREDICTING THE VULNERABILITY AND RESILIENCE TO CARDIOVASCULAR AND NEUROENDOCRINE EFFECTS OF STRESS IN ADULT RATS THROUGH A NOVEL MACHINE LEARNING APPROACH

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    Chronic stress has been risk of cardiovascular disease and neuroendocrine illness in humans and animals. However, not all individuals are equally vulnerable to the negative effects of stress, and some may even exhibit resilience. Identifying biomarkers or other predictors of vulnerability and resilience could help to develop personalized prevention and treatment strategies. In this study, we aimed to predict vulnerability and resilience to stress-related health effects in adult rats using a novel machine learning approach. We exposed male rats to chronic stress or control conditions for six weeks and measured their cardiovascular and neuroendocrine responses at baseline and at the end of the stress exposure. Rats were considered vulnerable if they exhibited large growth in heart rate and reaction of blood pressure to stress, and resilient if they did not show significant changes in these parameters. We then applied a novel machine learning algorithm to identify patterns in the data that could predict vulnerability or resilience. In this case, we employed a combination methods for selecting features using Support Vector Machine and classification algorithm Principal component Analysis to identify the most important predictors of vulnerability and resilience. We also compared the performance of the machine learning approach with traditional statistical methods, such as logistic regression and discriminant analysis. Our results suggest that heart rate variability were among the most important predictor of vulnerability and resilience to stress-related health effects in rats. Specifically, rats with lower heart rate variability and higher cortisol levels at baseline were more likely to be vulnerable to stress. Conversely, rats with greater concentrations of anti-inflammatory cytokines increased risk of becoming resilient to stress. The machine learning approach was more accurate in predicting vulnerability and resilience than traditional statistical methods, with an overall accuracy of 89%, respectively. Our study provides new insights into the complex interplay between stress and health, and highlights the potential of machine learning to improve our understanding of this relationship. The identification of biomarkers and predictors of vulnerability and resilience could lead to the development of personalized approaches to stress management and prevention of stress-related health conditions

    EFFECTIVE STRATEGIES FOR MEDICATIONS TO TREAT SUBSTANCE USE DISORDERS

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    The authors of this paper briefly review the pharmacotherapeutic experts who are currently available for the treatment of substance use disorders. The best tobacco cessation treatments use nicotine. The usage of naltrexone, acamprosate, and disulfiram can reduce alcohol consumption. Agonist medications, such as methadone and buprenorphine, are the most effective pharmacotherapies for sedative use disorders. The authors also review recent improvements in medicine for treating illnesses caused by other substances, such as energizer dependency. The job of prescription adherence and social medicines and the joining of conduct and pharmacotherapeutic intercessions are likewise examined. Patients were shown to employ feelings-based stress coping techniques more frequently than other methods in the Stress Coping Ways Scale assessment, which is consistent with other local studies. After rundown and assessment of Socrates study information when the treatment, such inclinations were seen - before the treatment not exactly 50% of the patients evaluated their compulsion as extremely serious, yet after the treatment the greater part of the patients thought that it is exceptionally serious

    Streptomyces Consortium for Enhanced Biodegrdation of Azo Blue Dye

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    A Streptomyces consortium was developed and investigated for biodegradation of reactive sulfonated di azo dye (Reactive Blue 222). The biodegradation of azo blue dye by the consortium was further assessed with different ratios of inoculum of two different Streptomyces potential isolates. The optimization of process conditions was further carried out with respect to the dye concentrations, pH and temperature for the potential Streptomyces consortium. The Streptomyces consortia of 2:1 ratio was proved to enhance the biodegradation of azo blue dye to 89.39%. Dye concentration of 300 mg/L, pH of 7.0 and temperature of 35 °C showed the maximum degradation of 88.33 %, 89.06 % and 89.47 % respectively

    Optimization of Process Conditions for Effective Degradation of Azo Blue Dye by Streptomyces DJP15

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    The present study was carried out to optimize the degradation process of textile azo blue dye by the potential strain Streptomyces DJP15 isolated from dye contaminated soil in and around Palakad Textile Industry, Palakad District, Kerala state, India. The decolourizing activity of the potential isolate Streptomyces DJP15 was measured spectrophotomterically at every 6 h over a period of 54 h in starch casein broth amended with 50 mg/L of the test dye, azo blue. It was noticed that, there was a decrease in the optical density (OD) indicating the degradation of the test dye by the potential isolate Streptomyces DJP15. Different incubation conditions like shake condition, static condition, dye concentration, pH and temperature were used in the present study to investigate their effect on the rate of decolorisation. The potential isolate Streptomyces DJP15 exhibited significant decolourisation activity at 48 h of incubation for all the degradation condition studied. The conditions optimum found for degradation of the azo blue dye by the potential isolate Streptomyces DJP15. The highest degradations were noticed at static conditions, 50 mg/L of dye concentration, 3% v/v inoculum concentration, 7 pH and 35 °C temperature respectively. The results of the present study confirms that the isolate Streptomyces DJP15 was effective in degrading the textile dye azo blue under optimized conditions

    Democratic Decentralization and Gram Sabha

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    The concept of Democratic Decentralizations has become fashionable in modern economic and political restructuring and for fashioning new strategies for economic development. The term is not of recent origin. It has been much discussed debated by writers, social reformers, political philosophers, modern pluralists and liberal socialists. Democratic Decentralization has been described by various names in India such as ‘functional democracy ‘, ‘building from below,’ panchayati raj,’ etc. However, these do not reflect the spirit behind democratic decentralization. Much more importance has been assigned to democratic element in all of them then to its development aspect. The concept of democratic decentralization in the Indian context has mostly been associated with the Gandhian philosophy of non –violent social order consisting of self – sufficient village republics. “Centralization as a system”, according to Mahatma Gandhi” is inconsistent with the non violent structure of society” (Harijan, 1942)
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