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Paul, Sudipta
- Some Fixed Point Theorems in Generalized M-Fuzzy Metric Space
Abstract Views :206 |
PDF Views:5
Authors
Affiliations
1 Department of Mathematics, Dhemaji College, Dhemaji-787057, Assam, IN
1 Department of Mathematics, Dhemaji College, Dhemaji-787057, Assam, IN
Source
Fuzzy Systems, Vol 9, No 7 (2017), Pagination: 132-135Abstract
In this paper, some fixed point theorems in Generalized (G) metric space have been converted using Generalized M (GM)-fuzzy metric space. In Paper [8], the expansive mapping has been defined using generalized metric space. Here, at first the expansive mapping has been defined using generalized M-fuzzy metric space and later generalized some lemma’s from generalized metric space to Generalized-M fuzzy metric space. Using these lemma’s and the new definition of expansive mapping the generalized fixed point theorems are proved under some contractive conditions.
Keywords
Fuzzy Metric Space, G-Metric Space, GM-Fuzzy Metric Space, Expansive Mapping.References
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- B.C. Tripathy and A. J. Dutta, On I-acceleration convergence of sequences of fuzzy real numbers, Math. Modell. Analysis, 17(4) (2012), 549-557.
- B.C. Tripathy, S. Paul and N.R. Das Banach’s and Kannan’s fixed point results in fuzzy 2-metric spaces, Proyecciones J. Math., 32(4)(2013),359-375.
- B.C. Tripathy, S. Paul and N.R. Das, A fixed point theorem in a generalized fuzzy metric space, Boletim da Sociedade Paranaense de Matematica, 32(2) (2014), 221-227.
- B.C. Tripathy, S. Paul and N.R. Das Fixed point and periodic pint theorems in fuzzy metric space, Songklanakarin Journal of Science and Technology, 37(1) (2015), 89-92.
- B.C. Tripathy and G.C. Ray On mixed fuzzy topological spaces and countability, Soft Computing, 16(10)(2012), 1691-1695
- Nutritional Security Vis-A-Vis Food Production in India:The Strength of Agri-Nutri Linkage in Retrospect
Abstract Views :399 |
PDF Views:81
Authors
Affiliations
1 Division of Agricultural Extension, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
1 Division of Agricultural Extension, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
Source
Current Science, Vol 114, No 03 (2018), Pagination: 439-441Abstract
India, the largest producer of milk, wheat and fruits, and the second largest producer of rice, pulses and vegetables in the world, with 194 million undernourished people, tops the ‘world hunger list’ as well. It is astonishing to find that the nation has failed to achieve both Millennium Development Goal (MDG) and World Food Summit (WFS) targets, despite consistently high agricultural production over the years and a promisingly higher rate of economic growth. This failure is inconceivable in the sense that the country still has a farming population of around 54% of the total, and has made great strides towards achieving ‘self-sufficiency’ in food production.References
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- Parappurathu, S., Kumar, A., Bantilan, M. C. S. and Joshi, P. K., Food Security, 2015, 7, 1031; doi:10.1007/s12571-0150493-2.
- Gupta, A., Int. J. Sci. Res., 2016, 5(4), 482–483.
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- The Concept of Measuring Happiness and How India Can Go the Nordic Way
Abstract Views :273 |
PDF Views:77
Authors
Affiliations
1 ICAR Indian Agricultural Research Institute, New Delhi - 110 012, IN
1 ICAR Indian Agricultural Research Institute, New Delhi - 110 012, IN
Source
Current Science, Vol 116, No 1 (2019), Pagination: 26-28Abstract
Quantifying subjective well being or happiness has always been intriguing and with the advent of Gross National Happiness (GNH) index of Bhutan and World Happiness Report (WHR) by UN, it has become all the way more of a global issue. This study stratifies countries into Happiness Strata in a Global Happiness Map using the WHR 2018 indices, only to find that India is among the 42 Unhappy Nations of the world. The Nordic (Western European) countries seem to top the happiness charts with Denmark being consistently among the top five. The paper also discusses what India can learn and adopt from Denmark.Keywords
No Keywords.References
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- Food and Nutrition Security: Analytical Fallacies and Way Forward
Abstract Views :183 |
PDF Views:89
Authors
Affiliations
1 ICAR-Indian Agricultural Research Institute, Pusa Campus, New Delhi 110 012, IN
2 ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi 110 012, IN
1 ICAR-Indian Agricultural Research Institute, Pusa Campus, New Delhi 110 012, IN
2 ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi 110 012, IN
Source
Current Science, Vol 120, No 7 (2021), Pagination: 1139-1141Abstract
Food and nutrition security (FNS) being a key priority area in development planning, requires good predictive models for holistic analysis of the concept, representative of the multi-dimensional linkages associated with the complex phenomenon. The present article discusses the conceptual dissents, and the popular proxy measures from which FNS is being most often inferred in practice. We suggest possible integration of the measures within the scope of a multifaceted framework in light of the limitations and potential risks in using them in isolation.Keywords
No Keywords.References
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- Bishnoi, S., Satyapriya, Sangeeta, V., Lenin, V., Paul, S. and Singh, P., Indian J. Ext. Educ., 2018, 54, 164–170.
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- Impact of Minimum Support Price on Paddy Cultivation: A Micro Level Assessment
Abstract Views :54 |
PDF Views:34
Authors
Affiliations
1 ICAR-National Rice Research Institute, Cuttack 753 006, IN
1 ICAR-National Rice Research Institute, Cuttack 753 006, IN
Source
Current Science, Vol 125, No 3 (2023), Pagination: 277-282Abstract
The present study aims at estimating the impact of minimum support price (MSP) on rice cultivation using a quasi-experiment-based robust research design, propensity score matching applied to household survey-based disaggregated primary data. Results indicate that MSP significantly impacts price realization in the disposal of paddy. Further, MSP has a fair influence on the marketed surplus of rice and the acreage devoted to the rice crop. The study finds important correlations between farmers’ decisions to avail MSP in rice. It has important policy implications from an implementation perspective to make it more effective to better off the paddy growers throughout the country.Keywords
Impact Evaluation, Minimum Support Price, Propensity Score Matching, Rice Cultivation.References
- Mittal, S. and Hariharan, V. K., Crop diversification by agro-climatic zones of India – trends and drivers. Indian J. Econ. Dev., 2016, 12(1), 123–132.
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- Chand, R., Government intervention in foodgrain markets in the new context. Policy Paper 19, 2003, ICAR – National Institute for Agricultural Economics and Policy Research, New Delhi.
- Paul, S., Pradhan, A. K., Srivastava, S. K., Mishra, S. K. and Kumar, G. A. K., Role of women in ensuring food and nutrition security. Vigyan Varta, 2022, 3(4), 140–145.
- Aditya, K. S., Subash, S. P., Praveen, K. V., Nithyashree, M. L., Bhuvana, N. and Sharma, A., Awareness about minimum support price and its impact on diversification decision of farmers in India. Asia Pac. Policy Stud., 2017, 4(3), 514–526.
- Som, S., Roy Burman, R., Sharma, J. P., Singh, A. K. and Paul, S., Impact of mera gaon mera gaurav (MGMG) programme in Uttar Pradesh and Haryana. Indian J. Agric. Sci., 2019, 89(7), 1115–1120.
- Roy Burman, R. et al., Comparative study on extent of adoption and economic impact of NARS paddy varieties in Indo-Gangetic plains of India. Indian J. Agric. Sci., 2020, 90(2), 331–336.
- Paul, S., Tripathi, A. K., Burman, R. R. and Singh, A. K., Performance appraisal of the frontline extension system in Northeastern region of India: a policy imperative. Indian J. Agric. Sci., 2016, 86(9), 1183–1188.
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- Kumar, R. K., Paul, S., Singh, P. and Chahal, V. P., Factors determining farmers’ progressiveness: a principal component analysis. Indian J. Agric. Sci., 2015, 85(8), 1026–1029.
- Sekhon, J. S., Multivariate and propensity score matching software with automated balance optimization: the matching package for R. J. Stat. Softw., 2011, 42(7), 1–52.
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- Das, R., Minimum support price in India: what determines farmers’ access. Agric. Econ. Res. Rev., 2020, 33(1), 61–69.
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