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Tiwari, Rajesh
- Integrated Approach for Nutrient Management in Guava cv. L- 49 under Malwa Plateau Conditions of Madhya Pradesh
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Authors
Affiliations
1 Department of Fruit Science, College of Horticulture (R.V.S.K.V.V.) Mandsaur, M.P., IN
1 Department of Fruit Science, College of Horticulture (R.V.S.K.V.V.) Mandsaur, M.P., IN
Source
International Journal of Agricultural Sciences, Vol 9, No 2 (2013), Pagination: 467-471Abstract
An experiment was conducted during 2011-2012 at the Department of Fruit Science, K.N.K. College of Horticulture, Mandsaur (M.P.) on seven year old guava tree cv. L-49 with two levels of nitrogen i.e., 600 g N (100% N) and 450 g N (75% N), two levels of phosphorus i.e., 400 g P2O5 (100% P2O5) and 300 g P2O5 (75% P2O5) and a common dose of potassium i.e., 300 g K2O and 30 g each of Azospirillium and PSB inoculation and 10 kg Vermicompost. The results revealed that the age fruit weight (220.37 g), number of fruits per tree (384), TSS (11.67 0Brix), total sugar (8.06%), reducing sugar (4.17%), non-reducing sugar (3.89%), pectin (0.81%), ascorbic acid (207.90 mg/100 g pulp) and lowest acidity (0.20%) were obtained with treatment T9. The combined application of recommended dose of NPK with vermicompost (10 kg) and biofertilizers (30 g /plant) gave significantly higher fruit yield per tree (84.66 kg) with higher B: C ratio (1:5.27).Keywords
Guava, L-49, Integrated Nutrient Management, Yield, Quality- Enhancing and Performance Comparison of Various Truth Discovery Approaches
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Authors
Affiliations
1 Shri Sankarachary College of Engineering & Technology, Bhilai, IN
1 Shri Sankarachary College of Engineering & Technology, Bhilai, IN
Source
International Journal of Technology, Vol 1, No 2 (2011), Pagination: 76-86Abstract
High-quality, personalized recommendations are a key feature in many online systems. Since these systems often have explicit knowledge of social network structures, the recommendations may incorporate this information. This paper focuses on networks that represent trust and recommendation systems that incorporate these trust relationships. The goal of a trust-based recommendation system is to generate personalized recommendations by aggregating the opinions of other users in the trust network .In analogy to prior work on voting and ranking systems, we use the axiomatic approach from the theory of social choice. We develop a set of five natural axioms that a trust- based recommendation system might be expected to satisfy. Then, we show that no system can simultaneously satisfy all the axioms. However, for any subset of four of the five axioms we exhibit a recommendation system that satisfies those axioms. Next we consider various ways of weakening the axioms, one of which leads to a unique recommendation system based on random walks. We consider other recommendation systems, including systems based on personalized Page Rank, majority of majorities, and minimum cuts, and search for alternative axiomatizations that uniquely characterize these systems. Finally, we determine which of these systems is incentive compatible, meaning that groups of agents interested in manipulating recommendations cannot induce others to share their opinion by lying about their votes or modifying their trust links. This is an important property for systems deployed in a monetized environment.Keywords
Recommendation Systems, Reputation Systems, Axiomatic Approach, Trust Networks.- Economic Growth and Unemployment Rate:An Empirical Study of Indian Economy
Abstract Views :1429 |
PDF Views:730
Authors
Affiliations
1 Asia Pacific Institute of Information Technology SD India, Panipat, Haryana, IN
2 International Institute of Management Studies, Pune, Maharashtra, IN
1 Asia Pacific Institute of Information Technology SD India, Panipat, Haryana, IN
2 International Institute of Management Studies, Pune, Maharashtra, IN
Source
PRAGATI : Journal of Indian Economy, Vol 4, No 2 (2017), Pagination: 130-137Abstract
Unemployment has been a major problem for India from a long time. The problem of unemployment is a global phenomenon, with international bodies like ILO predicting the rise in unemployment in India in coming years. The study attempts to find out the effect of economic growth on unemployment rate in India. Gross Domestic Product has been considered as an indicator of economic growth for the study. The data regarding GDP and unemployment rate have been collected from secondary sources like WorldBank database. Correlation and Regression analysis have been used to study the nature and degree of effect of economic growth on unemployment rate. It has been found that there is a strong negative correlation between economic growth and unemployment rate. Also, it was found that GDP accounts for 48% of cause of change in unemployment rate. The findings are in line with the Okun’s law and the conclusions of studies conducted in the past.Keywords
Unemployment, Gross Domestic Product, Okun’s Law.References
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