616 research outputs found
Chemical auxiliaries free dyeing of cationized cotton with 1:2 metal complex dye
Application of 1:2 metal complex dyes on pre-cationized cotton has been studied. This unconventional process avoidsthe use of electrolyte required as exhausting agent in conventional dyeing of cotton fabric. Indeed, when we use a largeamount of salt, the discharged wastewater from dye house creates unavoidable environmental threats. The dyeing has beencarried out at the liquor ratio of 1:40 in a sealed stainless steel dyebath housed on the Ahiba Nuance speed varyingtemperature, contact time and sulphate concentration. Optimal conditions are determined using the experimental designsmethod. The results show the possibility of chemical auxiliaries free dyeing of cotton fabrics with 1:2 metal complex dye at75°C for 15 min by treating them with cationizer prior to dyeing. Adsorption kinetic and isotherm are also studied and theparallel exponential model is shown to fit experimental data with higher average regression coefficients
Can Canadian Stock market provide complete hedge against Inflation ?
This study empirically assesses the relationship between inflation and stock return in Canadian stock market. The study has covered data for the period 1999 :M1−2018 :M4 of canadian economy. Inflation has been decomposed to predicted and unpredicted phase by MA filter. First it has tested three hypothesis within static model : Fisher hypothesis, Fama and Schwert approach, and Fama’s proxy effect framework. These investigations support Fisher Hypothesis. It has showed that Canadian stock market provides a complete hedge against Inflation. Second, since relationships between Stock price and inflation may not be correctly specified in the static linear regression, linear and non linear autoregressive dynamic specification have been tested. ARDL and NARDL model with Expected inflation as regressor conclude that Stock price cannot be used as a hedge against inflation. Finding of NARDL precise that only partial sum of the negative changes in Expected inflation have significant effect on canadian stock market. Then inefficiency of the canadian stock market suggests that information on past values of inflation could provide opportunities for abnormal gains from the canadian stock market
Can Canadian Stock market provide complete hedge against Inflation ?
This study empirically assesses the relationship between inflation and stock return in Canadian stock market. The study has covered data for the period 1999 :M1−2018 :M4 of canadian economy. Inflation has been decomposed to predicted and unpredicted phase by MA filter. First it has tested three hypothesis within static model : Fisher hypothesis, Fama and Schwert approach, and Fama’s proxy effect framework. These investigations support Fisher Hypothesis. It has showed that Canadian stock market provides a complete hedge against Inflation. Second, since relationships between Stock price and inflation may not be correctly specified in the static linear regression, linear and non linear autoregressive dynamic specification have been tested. ARDL and NARDL model with Expected inflation as regressor conclude that Stock price cannot be used as a hedge against inflation. Finding of NARDL precise that only partial sum of the negative changes in Expected inflation have significant effect on canadian stock market. Then inefficiency of the canadian stock market suggests that information on past values of inflation could provide opportunities for abnormal gains from the canadian stock market
Lactic Acid Bacteria as Probiotics: Characteristics, Selection Criteria and Role in Immunomodulation of Human GI Muccosal Barrier
Variance Analysis and Autocorrelation Function for 2D Fiber Lap Statistical Analysis
This chapter reports on the statistical analysis of 2D fiber lap using variance analysis and autocorrelation function. It begins with a short overview of the nonwoven processes showing the importance of lap and web formation. It then proceeds to describe the theory of the ideal fiber web. The real defects are taken into account based on random irregularity, periodic irregularity, and compound irregularity. To conclude, the chapter highlights the efficiency of this theoretical approach and its application on 2D fibrous material
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