Numerous failure curves are presented in this manuscript to predict the onset of sudden fracture in V-notched brittle materials under combined tension-shear loading conditions. The curves were developed in a computational manner in terms of the notch stress intensity factors and based on the suitable failure concept of the maximum tangential stress (MTS) utilized frequently in the past by the author and his co-researchers for predicting mixed mode brittle fracture in extensive notched specimens. Three extensively used notch angles and various notch tip radii were considered in the computations. A wide range of brittle materials were also taken into account by defining and using the material critical distance. Through predicting load-bearing capacity and notch bifurcation angle utilizing only the two basic material properties namely the ultimate tensile strength and the plane-strain fracture toughness, engineers can design more rapidly and conveniently the V-notched brittle components with the aim to withstand reliably against sudden fracture.

Tetraphenylporphyrin (TPP) and copper tetraphenylporphyrin (CuTPP) were synthesized and characterized by IR, UV-Vis, 1HNMR and 13CNMR. The CuTPP nanoparticles were synthesized by sonication and mixed solvent methods. These nanoparticles were characterized by AFM and SEM images and UV-Vis spectra. The catalytic activity of nanoparticles was investigated by oxidation of o-choloro and o-hydroxy benzyl alcohols in presence of molecular oxygen and isobutyraldehyde. The yields of oxidation of o-hydroxy benzyl alcohol by the two catalysts, CuTPP NPs and CuTPP, are 96.5% and ~ 2%, respectively. It is very obvious that the oxidation at the presence of CuTPP NPs catalyst is very high but selectivity for both reactants is 100%.?

A rapid one-pot method has been developed for the synthesis of azo dyes via ?sequential diazotization–diazo coupling of aromatic amines with coupling agents at room ?temperature in the presence of BF3.SiO2 as acidic catalyst. The obtained aryl diazonium salts bearing silica supported boron tri-flouride counter ion? was sufficiently stable to be kept at room ?temperature in the dry state.?

Retail atmospherics have been well studied to have both functional and emotional impact on the behavioural intent of shoppers. The usage of well-orchestrated retail servicescape with its expanding canvas, both inside and outside the retail premise, has been targeted to induce subliminal perception of comfort and convenience in the mind of shoppers. Modern retail practice has incorporated customer relationship management (CRM), a pivotal business analytical process, to strengthen their interaction with shoppers. This paper attempts to gather empirical evidence on the possible mediating effects of CRM dimensional performance on the emotional orientation of shoppers, apprehended to be antecedent to favourable shopping behaviour. Appropriate statistical applications, following adequate literature survey, were deployed to test the hypotheses and the robustness of the default model. The results were indicative of strong moderating impact of CRM dimensional performance in augmenting emotional behaviour of customers to induce a fovourable behavioural intent. The default model also holds good confirming the causal convergence of constructs.

A regioselective synthesis of ethyl 6-aryl-3-propylpyridazine-4-carboxylates by one-pot three-component reaction of ethyl butyrylacetate with various arylglyoxals in the presence of hydrazine hydrate at room temperature in water was described.

Active methylene compounds are regioselectively dialkylated by variety of alkyl halides using cesium carbonate in quantitative yield. The reaction yielded exclusively dialkylated products with no intermediate monoalkyaltion or mixture of products.

The purpose of in this paper is to study demand fluctuation of dairy product and the forecasting practices that have been used by Raipur Dugdh Sangh (Devbhog dairy industry) in Chhattisgarh. The objective is to detect how these industries have used forecasting method, what are the main factors that influence their choice and what are the main difficulties in the use of forecasting methods. Based on literature survey, weekly data collected over October 2011 to October 2012 from Raipur Dugdh Sangh (Devbhog dairy industry) in Chhattisgarh. Data were analyzed by statistics technique using the Microsoft excel software. The result shows that the demand of milk product fluctuated over the period of time. The factors that influence the choice of forecasting model are the type of product, time spent in forecasting and main difficulties are the availability of software.

A bronsted acid-surfactant catalysed and simple, mild, metal catalyst free and chemo-selective method has been developed for synthesis of 1, 3, 5-triaryl benzenes from aryl methyl ketones. The advantages of this protocol subsume green and sustainable reaction medium, mild reaction conditions, easy product recovery and its good yields.

A series of new 2-arylquinoxaline derivatives have been synthesized in high yield by condensation of aryl-1,2-diamines with arylglyoxals in DMF at 50-120 oC.

Crude oil price volatility dynamics are governed by nonlinear and chaotic behaviour. This paper presents and compares the performance of four hybrid systems used to estimate and predict crude oil price volatility data. A GARCH family model is employed to estimate oil price volatility data and the Elman artificial neural network (ENN) system is used to model and predict the obtained data. Indeed, unlike previous studies found in the literature, recurrent artificial neural networks are chosen in this paper to model and predict future crude oil price volatility data estimated by GARCH family models since they are nonlinear systems capable of learning noisy and nonstationary data. In particular, four hybrid systems are tested and compared; including the GARCH-ENN, EGARCH-ENN, APARCH-ENN, and TARCH-ENN system. Using Brent crude oil price data, the obtained out-of-sample simulation results indicate that all hybrid systems provide very accurate forecasts of Brent future volatility. In addition, they show evidence of the superiority of the GARCH-ENN system over the EGARCH-ENN, TARCH-ENN, and APARCH-ENN systems. The presented four hybrid systems achieved very low forecasting errors. Thus, they could be effective in oil industry management and applications.