Zenodo (CERN European Organization for Nuclear Research), Nov 19, 2022
Agriculture the is the backbone of Indian economy. agriculture prices play important role play in... more Agriculture the is the backbone of Indian economy. agriculture prices play important role play in income and all Indian economy. Despite rapid industrialization in recent year India still remains essentially and agriculture country. Accordingly, the prices of foods lens and agriculture raw materials for a key position in the price structure of the country. a rise of hall in agriculture prices will immediately generate a similar rise or fall in the general price level. Agriculture in India is seasonal and supply of agriculture goods is subject to serious fluctuations. Naturally, agriculture prices me rise faster at times and fall more rapidly at some other times due to a temporary imbalance of supply and demand. Prices of agriculture producer important for farmers as determine their income by runs affected by this prices be they consumers industries or exporters incentives for rising production and irrational allocation of resources as also acquiring mark table surplus there is a social interest in all in this price is it is there for a considerable consequences and policy of agriculture prices.
Analytical Method Development and Validation of Teriflunomide Active Pharmaceutical Ingredient by RP-UHPLC
Asian Journal of Pharmaceutical Analysis
Drug analysis is crucial in the discovery, production, and therapeutic use of pharmaceuticals. St... more Drug analysis is crucial in the discovery, production, and therapeutic use of pharmaceuticals. Standard analytical procedures for newer medications or formulations may not be available in Pharmacopoeias; thus, newer analytical methods that are accurate, precise, specific, linear, simple, and rapid must be developed. A rapid, simple, sensitive, precise, and cost-effective RP-UHPLC method was developed and validated for the determination of Teriflunomide Active Pharmaceutical Ingredient (API) in this study. The method involved determination of Teriflunomide by resolving on RP-UHPLC using Sunniest C18 (250mm × 4.6mm, 5μm) column, utilizing a mobile phase of ACN: Water in the ratio of 60:40 v/v. The mobile phase was delivered with an isocratic flow rate of 1.0ml/minute. Ultra violet detection was carried out at 210nm. The retention time was optimized to 4. 4 minutes. The linearity range of Teriflunomide 35 to 247µg/ml was found to obey linearity with a correlation coefficient of 0.999. ...
Cold supply chain inventory models for agricultural products with multi-stage stochastic deterioration rates
sample. When using large samples, even quite small correlation coefficients can reach statistical... more sample. When using large samples, even quite small correlation coefficients can reach statistical significance. For example, although it is statistically significant, the practical significance of a correlation of 0.09 is quite limited. In a case like this, the researcher should focus on the actual size of Pearson's r and the amount of shared variance between the two variables. To interpret the strength of the correlation coefficient, it is advisable to take into account other research that has been conducted in that particular area. SPSS can calculate two types of correlation. First it will give a simple bivariate correlation between two variables, also known as zero order correlation. Secondly, SPSS can explore the relationship between two variables, while controlling for another variable. This is called partial correlation. In this text, only zero order correlation will be discussed. The two most popular correlations are: Spearman's and Pearson's product-moment correlation coefficients. The difference between them is that Pearson's product-moment correlation deals with interval or ratio data while Spearman rank-order can deal with ordinal data apart from interval and ratio data. the example, 'waitingtime' has a β of .264 at a sig. level of .013, and t=2.555 and 'quality' has a β of .332 at a sig. level of .002, and t=3.150. Therefore, we can conclude that the more customers are pleased with the waiting time at the check-out and the quality of the merchandises, the higher satisfaction is perceived by customers. Neither 'gender', 'income' and 'backgdmusic' can predict customers perceived satisfaction significantly.
Uploads
Papers by Maruti Bhosale