Navigating the Transformative Landscape of Virtual Education Trends across India

Asha SHARMA,Aditya MISHRA Korea Fourth Industrial Association 2024 Fourth industrial review Vol.4 No.1

Purpose: Education is the part of a fundamental human right across the world. In recent years, the trend of virtual education has increased tremendously. The paper aims to find the impact of adoption, accessibility, interactions, knowledge, and satisfaction on the success of transformation towards virtual education. Research design, data and methodology: Primary data has been gathered through the use of responses from students taking admission in virtual higher education to standardized questionnaires. Of the 250, only 122 were considered complete and have been used in further studies. Convinced random sampling method has been used. The results were evaluated using the Likert Five-Point Scale. For applying these statistical tools software SmartPLS and SPSS 19 have been used. The fitness of the model has been re-checked through an Artificial Neural Network (ANN). Result: Results derived that adoption, accessibility, and interactions have a significant impact on knowledge, knowledge influences satisfaction level and satisfaction have a meaningful impact on the success of transformation towards virtual education. Conclusion: It can be concluded that virtual education has the potential to change the future of the education system and its potential in India. The highest importance is due to satisfaction (100%), adoption (98.7%), knowledge (91.4%), accessibility (62%), and interaction (29.2%).

Do Industry 4.0 & Technology Affect Carbon Emission: Analyse with the STIRPAT Model?

Asha SHARMA Korea Fourth Industrial Association 2023 Fourth industrial review Vol.3 No.2

Purpose - The main purpose of the paper is to examine the variables affecting carbon emissions in different nations around the world. Research design, data, and methodology - To measure its impact on carbon emissions, secondary data has data of the top 50 Countries have been taken. The stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model have been used to quantify the factors that affect carbon emissions. A modified version using Industry 4.0 and region in fundamental STIRPAT model has been applied with the ordinary least square approach. The outcome has been measured using both the basic and extended STIRPAT models. Result - Technology found a positive determinant as well as statistically significant at the alpha level of 0.001models indicating that technological innovation helps reduce carbon emissions. In total, 4 models have been derived to test the best fit and find the highest explaining capacity of variance. Model 3 is found best fit in explanatory power with the highest adjusted R2 (97.95%). Conclusion - It can be concluded that the selected explanatory variables population and Industry 4.0 are found important indicators and causal factors for carbon emission and found constant with all four models for total CO2 and Co2 per capita.

Impact of Population on Economic Development: Evidence from India

Asha SHARMA Korea Distribution Science Association 2023 Asian journal of business environment Vol.13 No.3

Purpose: The main purpose of the paper is to find the association between the population and the GDP of India and whether the population has any impact on economic development and growth or not. It aims to find out the impact of the increase in population on economic development. Research design, data, and methodology: Gross domestic product, national income, gross saving, per capita income, and capital formation of the last six years have been taken as the major variable to measure economic growth. For the study, data were collected from the fiscal years 2014-15 through 2020-21. Statistical techniques like correlation and regression have been applied to test the hypotheses. The neural network has been applied to find the fitness of the model. Results: In India, there is no significant relationship has been found between GDP and population. It is found that there is no significant impact of population on economic development. Conclusion: The population is not affecting economic growth-; therefore, it can be said that India is overpopulated. More population is the means as well as the end of economic development. The problem of population explosion in India has proved to be a big hindrance to the success of economic planning and development.

Purification and Characterization of a Thermophilic Cellulase from a Novel Cellulolytic Strain, Paenibacillus barcinonensis

Asha, Balachandrababu Malini,Revathi, Masilamani,Yadav, Amit,Sakthivel, Natarajan The Korean Society for Microbiology and Biotechnol 2012 Journal of microbiology and biotechnology Vol.22 No.11

A novel bacterial strain, MG7, with high cellulase activity was isolated and identified by morphological characteristics and molecular phylogeny analysis as Paenibacillus barcinonensis. Maximum production of cellulase by MG7 was observed at pH 7.0 and $35^{\circ}C$. The enzyme was purified with a specific activity of 16.88 U/mg, the cellulase activity was observed in a zymogram, and its molecular mass (58.6 kDa) was confirmed by SDS-PAGE. The purified enzyme showed maximum activity at pH 6.0 and $65^{\circ}C$ and degraded cellulosic substrates such as carboxy methyl cellulose (CMC), Avicel, filter paper, and ${\beta}$-glucan. The enzyme showed stability with 0.5% concentration of various surfactants. The $K_m$ and $V_{max}$ of cellulase for CMC and Avicel were found to be 0.459mg/ml and 10.46mg/ml/h, and 1.01 mg/ml and 10.0 mg/ml/h, respectively. The high catalytic activity and its stability to temperature, pH, surfactants, and metal ions indicated that the cellulase enzyme by MG7 is a good candidate for biotechnological applications.

Whither Feminism … wither Marxism?

Asha Achuthan 이화여자대학교 아시아여성학센터 2005 이화여자대학교 아시아여성학센터 학술대회자료집 Vol.2005 No.6

How to Interpret a Functional or Motility Test : Techniques of Functional and Motility Test: How to Perform and Interpret Intestinal Permeability

( Asha Mishra ),( Govind K Makharia ) 대한소화기기능성질환·운동학회(구 대한소화관운동학회) 2012 Journal of Neurogastroenterology and Motility (JNM Vol.18 No.4

Transport of molecules across the intestinal epithelium takes place through 2 major routes, ie, trans-cellular and paracellular. Assessment of intestinal permeability is performed to assess the overall function of transport through the intestinal epithelial paracellular route. Urinary excretion of disaccharides and monosaccharides and ratio of their excretion is a basis for measurement of intestinal permeability. Lactulose and mannitol ratio is the most commonly used test for assessment of small intestinal permeability and the most reliable method for measurement of concentration of lactulose and mannitol in the urine is high performance liquid chromatography. After the measurement of concentration of probes in the urine; the results are expressed as the ratio of percentage excretion of the ingested dose of lactulose and mannitol in the urine. Testing of intestinal permeability is not required for routine patient care, however it is an important tool to understand the function of the paracellular transport in the research setting. Increase in intestinal permeability has been implicated in the pathogenesis of many autoimmune diseases including celiac disease, Crohn’s disease, type I diabetes and food allergy. (J Neurogastroenterol Motil 2012;18:443-447)

Immunochromatographic Assessment of Salivary Cotinine and Its Correlation With Nicotine Dependence in Tobacco Chewers

Asha V,Dhanya M 대한암예방학회 2015 Journal of cancer prevention Vol.20 No.2

Background:This study assessed the correlation between nicotine dependence and salivary cotinine levels in tobacco chewers and checked the reliability of Fagerstorm test in tobacco cessation programmes. Methods:The study sample included 75 tobacco chewers aged between 20 to 50 years. Self-reported nicotine dependence was evaluated using Fagerstorm Test for Nicotine dependence-smokeless tobacco questionnaire. Patients were categorized into low, moderate andhigh dependent chewers based on their answers to the questionnaire. The unstimulated salivary cotinine levels were measured by immunochromatographic assay using the NicAlert saliva test. Data was analysed using the chi-square test for testing intra-group variation, analysis of variance for testing between-groups variation, and the Spearman coefficient for assessing the association between variables. Results:No statistically significant association was seen between salivary cotinine levels and nicotine dependence. A weak positive correlation was noted between the above variables (r = 0.230). In the group studied, it was evident that the patients were under-reporting the nicotine dependence. Conclusions:The measurement of salivary cotinine by immunochromatographic assay using NicAlert saliva test is a useful and convenient method for studying the nicotine dependence in tobacco chewers. Immunochromatography-based cotinine test strips are an easy method of detecting salivary cotinine in a dental setup. From this study we are of the opinion that a simple questionnaire like Fagerstorm test can give a less adequate analysis of patient’s dependence especially in countries like India, where patients tend to under-report their dependency. Immediate feedback from a chairside test can help both the dentists and patients during a tobacco cessation programme.

A Frequency-Dependent Model of a Cabtyre Cable for a Transient Analysis

Asha, Shendge,Naoto, Nagaoka The Korean Institute of Electrical Engineers 2012 The Journal of International Council on Electrical Vol.2 No.4

A frequency-dependent line model is very significant for an accurate analysis of line and cable transients. This paper has proposed a methodology to obtain a frequency-dependent distributed-parameter line model of a cabtyre cable by employing an exponential curve fitting from a measured transient voltage and an injected current. The characteristic admittance and propagation function are expressed by exponential functions in Semlyen line model of EMTP (Electro-magnetic transient program) and Maple software has been used as an optimization tool. The frequency dependence of the per unit series impedance and shunt admittance and their phase angles are derived from the obtained propagation parameters. Simulation results by the proposed model agree well with the measured results. The proposed approach is expected to be useful to analyze a transient associated with the cabtyre cable.

Pseudoxanthomonas icgebensis sp. nov., Isolated from the Midgut of Anopheles stephensi Field-Collected Larvae

Asha Rani,Anil Sharma,Tridibes Adak,Raj K. Bhatnagar 한국미생물학회 2010 The journal of microbiology Vol.48 No.5

A Gram-negative, aerobic, golden yellow, rod-shaped bacterium, a strain designated ICGEB-L15T, was isolated from the larval midgut of Anopheles stephensi captured in District Jhajjar, Haryana, India. The strain ICGEB-L15T grows at 30-50°C (optimum 30-37°C), pH 6.5-8.5 (optimum 7.0-8.0) and in the presence of 2% NaCl. The major fatty acids were iso-C15:0 (22.5% of total fatty acid), anteiso-C15:0 (16.5%), iso-C17:1ω9c (10.3%), iso-C16:0 (7.3%), C16:0 (6.1%), and iso-C11:0 (5.3%). The strain showed the highest 16S rRNA gene sequence similarities with the type strains Pseudoxanthomonas daejeonensis KCTC 12207T (97.4%), Pseudoxanthomonas kaohsiungensis J36T (97.17%), and Pseudoxanthomonas mexicana AMX 26BT (97.11%). The DNA relatedness between ICGEB-L15T and Pseudoxanthomonas daejeonensis KCTC 12207T, Pseudoxanthomonas kaohsiungensis J36T and Pseudoxanthomonas mexicana AMX 26BT was 24.5%, 28.2%, and 33.6%, respectively. The G+C content of genomic DNA was 69.9 mol%. The major isoprenoid quinone of strain ICGEB-L15T was Q-8. The strain ICGEB-L15T represents a novel species of the genus Pseudoxanthomonas based on physiological, biochemical and phylogenetic properties; therefore, the name Pseudoxanthomonas icgebensis sp. nov. is proposed. The type strain is ICGEB-L15T (=KACC 14090T =DSM 22536T).

Automatic Detection of Texture-defects using Texture-periodicity and Jensen-Shannon Divergence

Asha, V.,Bhajantri, N.U.,Nagabhushan, P. Korea Information Processing Society 2012 Journal of information processing systems Vol.8 No.2

In this paper, we propose a new machine vision algorithm for automatic defect detection on patterned textures with the help of texture-periodicity and the Jensen-Shannon Divergence, which is a symmetrized and smoothed version of the Kullback-Leibler Divergence. Input defective images are split into several blocks of the same size as the size of the periodic unit of the image. Based on histograms of the periodic blocks, Jensen-Shannon Divergence measures are calculated for each periodic block with respect to itself and all other periodic blocks and a dissimilarity matrix is obtained. This dissimilarity matrix is utilized to get a matrix of true-metrics, which is later subjected to Ward's hierarchical clustering to automatically identify defective and defect-free blocks. Results from experiments on real fabric images belonging to 3 major wallpaper groups, namely, pmm, p2, and p4m with defects, show that the proposed method is robust in finding fabric defects with a very high success rates without any human intervention.