E-Pharmacy regulations in India: Past, present, and future
The advent of digitalization has taken India by storm and the pharma sector is also not left behind. The trend of purchasing medicine online is increasing and so is the number of e-pharmacy start-ups. E- Pharmacies are recent entrants in the Indian e-commerce industry and receiving attention from the government as well as global investors from the past three years. The Ministry of Health and Family Welfare, Government of India has published draft rules on 28th August 2018, with the heading “Sale of drugs by e-pharmacy” to bring e-pharmacies within the scope of Drug and Cosmetics Rules, 1945 by making amendments in it which currently does not distinguish between online and brick and mortar pharmacies. It aims to regulate online sale of quality medicines pan India through e-pharmacies registered under Central Drugs Standard Control Organisation (CDSCO), India’s apex drug regulator and central licensing authority, where all records are maintained as per rules laid down. The confidentiality of patient details have to be maintained and cannot be disclosed to anyone one under any circumstances other than the central or state government as the case may be. The sale of tranquilizers, narcotic and psychotropic substances and Schedule X drugs are not permitted through e- pharmacies. The dawn of 2019 is expected to bring a brighter future for a fully legitimate and professionally managed E- Pharmacies in India.
Published by: Priya Nair S., Dr. Anil Middha
Author: Priya Nair S.
Paper ID: V5I1-1141
Paper Status: published
Published: January 4, 2019
A machine vision based approach to Cashew Kernel grading for efficient industry grade application
An algorithm for automated, image-based segregation of cashew kernels into different categories is the need of the hour to drive up the productivity of the Indian cashew industry. The aim of this study is to find a supervised learning model that will accurately recognize and classify the cashew kernel into different grades. Various image processing techniques are used to preprocess the cashew image dataset. K-means clustering is used to perform color image segmentation. Feature selection is performed first using neighborhood component analysis, followed by stepwise regression. Two multi-class classification methods are implemented. Support Vector Machines (SVM) with ‘one-vs-one’ classification and Adaptive Directed Acyclic Graph (ADAG) learning model showed satisfactory results. However, even higher accuracy is obtained by using the Random Forest classification model. Random Forests are easy to train, which makes them good for high dimensional data, with a large number of training examples. The main contribution of this work is developing a robust and efficient computer vision system that can grade cashew kernels on the industrial scale with high accuracy and without compromising much on the speed of computation.
Published by: Mehak Arora, Dr. Veena Devi
Author: Mehak Arora
Paper ID: V4I6-1442
Paper Status: published
Published: January 2, 2019
Impact of financial assistance provided to small scale industries by IDBI and TIIC
The Government and the financial institutions are very keen on the promotion and development of small-scale industries which is capital sparing and labor-intensive sector. The shortage of finance affects the ability of the small units severely. Every kind of problem, whether it may be raw material, power, transport or marketing faced by an entrepreneur in its ultimate analysis turns out to be a problem of finance. The small industry gets elbowed out by the large and medium scale industries in the procurement of bank finance and institutional credit. A serious problem which is hampering small-scale sector is its sickness. Many small units have fallen sick due to one problem or the other. Some aggregate economic behaviors of the country such as growth in Gross National Product, availability of credit, the volume of the money supply, capital market activity or level of investment and price level fluctuations, may have an important bearing on industrial sickness in the country. The crux of the problem is very often that of finance. Small Scale Industries are very poor and have little to offer as security for raising finance. In this background, the need for financial assistance to Small Scale Industry has become desirable. Government and financial institutions are providing various opportunities and various financial assistance to small-scale industries right from their inception for their growth and development but do this assistance have a real impact on the growth and development of small-scale industries is the real aspect which needs to be analyzed. Accordingly, the study is an attempt to investigate the impact of financial assistance provided to small-scale Industries in Chennai city
Published by: F. Reena, Dr. T. Joseph
Author: F. Reena
Paper ID: V4I6-1446
Paper Status: published
Published: January 2, 2019
Constraints facing the beneficiaries in participating Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA)
Twelve years since its inception, this law has shown extraordinary promise. It has brought the right to work to the front stage of the discussion on social protection. MGNREGA represents, a significant innovation in relation to the short-term and emergency based public work tradition. Among its innovation key ones include {a} self-targeting- this means that the programme does not target people living below the poverty line. It is the nature of the work provided manual and unskilled – that determine the demand for work. {b} any household can demand up to 100 days of work that should be provided within 15 days under the penalty of the state having to pay unemployment benefits. {c} the inclusion of social audits and social accountability mechanism to increase accountability and enhance social participation. The Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) – offering up to 100 days work each year to rural Indians – is the largest social protection programme in the world, in terms of the number of households covered. There is a lively debate around whether MGNREGA provides a vital social safety net for the poor or merely burdens the economy. Since 2006, it has expanded to cover all districts in India, providing work to 50 million rural households in 2012/13 at a cost of US$8.9 billion. But no one has satisfactorily explained why, despite similar implementation mechanisms, there is such unevenness in outcomes. Major constraints faced by beneficiaries in MGNREGA were: employment of hundred days (per household per year) is too less in the present situation. The major suggestion was given by beneficiaries that temporary suspension of MGNREGA works during peak Agricultural season (93.33%).
Published by: Raut Mangesh Arunrao, Chinchmalatpure U. R., Thote Vitthal
Author: Raut Mangesh Arunrao
Paper ID: V4I6-1432
Paper Status: published
Published: January 2, 2019
Correlation of attitude of beneficiaries towards Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA)
Mahatma Gandhi’s statement holds even today as around 60 percent of the country’s populations are still living in rural areas. Gandhiji laid strong emphasis on a self-sufficient village, decentralization of economic and political powers and development of cottage industries in villages. He believed in the human capital model of development which shifts the emphasis from physical capital formation to human capital formation and from industrial development to rural development, as a basis for overall development. But a major problem of the Indian development process is its inability to generate adequate employment opportunities for the growing rural labor forces. To overcome the problems of unemployment and poverty, the wage employment schemes have been important elements and necessary in public policy of the nation’s development. They provide income transfers to poor households during periods when they suffer on account of the absence of opportunities for employment. Though in India presently prevailing poverty alleviation schemes both self and wage employment have been given considerable relief to poor families. But, most of these families even today remain vulnerable. Sustained poverty reduction in India continues to be a major target. Thus, in order to check the above-mentioned problems and with a view to improve employed days, overall economic and social life of the poorest of the poor living in rural areas, a new development strategy was enacted by the Government of India which is known as the National Rural Employment Guarantee Act, 2005. It was renamed as Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) on 2nd Oct 2009. it is observed that out of twelve independent variables, ten variables viz, Education, Caste, Land Holding, Social Participation, Annual Income, Occupation, Source of Information were positively and significantly correlated with attitude towards MGNREGA at 0.05 percent level of probability, other variables like Family Size, extension contact, and Economic Motivation were positively and significantly correlated with attitude towards MGNREGA at 0.01 percent level of probability. caste, social participation, land holding, annual income, occupation, and economic motivation were significantly related with an attitude of beneficiaries towards MGNREGA.
Published by: Raut Mangesh Arunrao, Chinchmalatpure U. R., Thote Vitthal
Author: Raut Mangesh Arunrao
Paper ID: V4I6-1431
Paper Status: published
Published: January 2, 2019
The effect of organic mulch and sewage mulch on the moisture content, growth and yield of spinach
An experiment was conducted in the field (practical crop production) at SGRR (P.G) COLLEGE to determine the effect of organic Mulch on the growth and yield of spinach. The experiment was conducted between the months of October and November, 2018. The experiment was a completely line sowing pattern (cropping pattern) with treated sewage mulch (TSM) and organic compost mulch (OCM) as treatments. The no mulch (NM L) was used as a control. Spinach seedlings were planted at a spacing of 15 cm within rows and 30 cm between rows. Weeding and pest control measures were done uniformly across the treatments, when and as required. The data collected included the percentage moisture retained by the different treatments on the soil, growth parameter’s (leaf width, leaf length, leaf number, leaf area, and plant height) and yield at harvest. The results displayed a significant difference (P<0.05) between the treatments in terms of\' the moisture retention. properties. Organic compost mulch recorded the highest mean percentage moisture retention (22.9%), followed by treated sewage mulch (20.9%) and no mulch recorded the lowest percentage moisture retention in the soil (14.4%). All the growth parameters were higher or spinach growth under TSM, followed by that grown under OCM. They were lowest under spinach grown under no mulch. The showed that mulching improved the performance of the spinach plants in terms of plant growth, moisture retention and yield.
Published by: Devashish Singh Rawat
Author: Devashish Singh Rawat
Paper ID: V4I6-1436
Paper Status: published
Published: January 1, 2019
