The relationship between velocity of chemical reactions with activities or concentrations of their reactants, temperature and pressure and the mechanisms through which the reactions proceed are of interest to many scientists and engineers. The purpose of this article is to introduce computer software that is developed for calculation, classification and collection of such data. The application of the software to the homogeneous and heterogeneous processes occurring in porous and non-porous media of flat, cylindrical or spherical geometry is tested. The software is capable of assisting the professional process design engineers as well as the general process Kinetic investigators

Kinetic study of dehydrogenation of isobutane to isobutene was investigated on Pt-Sn supported on g-Al2O3 as catalyst using a tubular quartz glass reactor at atmospheric pressure and a temperature range of 425-575 cc. Different rate models were extracted by considering different elementary reactions of a probable mechanism as rate controlling step and the experimental results. The adsorption and Kinetic coefficients were obtained by the Levenberg-Marquardt non-linear regression applied to the reaction rate equations using the experimental results. Results from statistical investigation of the models and comparison of their error percentages indicate that a power law rate equation is in a good agreement with the experimental data obtained at 575°C.

In this paper, first, we present a Kinetic data structure for the problem of Kinetic convex hull maintenance. After that, discuss some complicated cases followed by the main algorithm and two additional algorithms. Finally, focus on the evaluation of the four properties of the Kinetic algorithm in the worst case. We show that quality factors of our algorithm are at most linear. Comparing with similar work, our suggestion is easier to implement and keep track of.

Background and Aim: Tremor is one of the most debilitating common symptoms in the patients with multiple sclerosis (MS). Tremor can reduce patients' life quality and limit their daily activities. Considering the beneficial effects of lavandula on several neurologic disorders which have been confirmed in many studies, we decided to evaluate the effects of Iranian lavandula on tremor in MS patients. Materials and Methods: This was a randomized double-blind clinical trial which included 30 patients with MS in Khuzestan Province from April 2017 to December 2018. The patients were divided randomly into intervention and control groups. Using goal positioning system (individual’ s hands), all the movements of hands and fingers were investigated during rest, posture 1, posture 2 and movement toward a specific target (Kinetic) in the zero, 4th, and 8th weeks. Data collection tools were a questionnaire on tremor extracted from MDS_UPDRS questionnaire which is a comprehensive self-assessment questionnaire, a specific form of assessing EDSS, and a motion capture system. Data were converted into quantitative data by Matlab software and then analyzed. Results: The Wilcoxon test demonstrated a significant difference among the three variables of POSTURE1, POSTURE 2, and Kinetic in the group receiving the drug (P <0. 05). There has been no significant difference between the mean values for the rest position in the eighth week and before the treatment (p=0. 063). In the placebo group, we detected a significant difference in the Kinetic variable (p<0. 05). Considering the POSTURE1 variable, the intensity of tremor after 8 weeks reduced more in the group receiving the drug than in the placebo group. No significant difference was detected among the other variables in regard to the reduction of the tremor intensity. Conclusion: Data Analysis in the present study demonstrated that Iranian lavandula extract with the minimum dosage of 80 milligrams is effective in reducing the tremor in patients with MS and can be used alone or as an adjunct drug.

one of the decisive factors in obtaining the desired properties in coatings is their complete curing, which necessitates the study of Kinetics of curing. In recent years, many studies have been conducted on the use of polyhedral oligomeric silsesquioxane (POSS) in coatings. Creating functional groups on POSS and using it in formulation can create new or improve the properties of coatings. In this study, the cure Kinetics between hydroxyl functional acrylic resin, aliphatic polyisocyanate and fluorinated POSS with terminal hydroxyl group (F-POSS-OH) was studied using both the Malek and model-free isoconversional method (Flynn-Wall-Ozawa and Kissingere-Akahirae-Sunose) by DSC. The parameters of the cure Kinetic equation for both systems were calculated and the effect of F-POSS-OH on the activation energy of polyurethane systems is investigated by free models. The results are shown that the m parameter in the cure Kinetic equation for the coatings containing the F-POSS-OH increased, which indicates an increase in the autocatalytic effect of the curing system. Also, in the free model, the F-POSS-OH was reduced the activation energy of reaction. Prog. Color Colorants Coat. 13 (2020), 63-73© Institute for Color Science and Technology.

Thermal cracking of light hydrocarbons was studied in which a molecular Kinetic model for light hydrocarbons, and their mixture was developed. Required Kinetic parameters were calculated and tuned by error minimization between several real reactors measured data and results of their simulation. Reactors were simulated as a one-dimensional plug flow reactor. Simulation consists of a reactor model and heat transfer from an external hot surface of the reactor. Nonlinear regression method was used to minimize the errors of simulation results and optimization of the Kinetic model parameters. The Kinetic and reactor models were verified by comparing their results with the measured data of several real reactors. Required experimental data were collected through the literature survey. Accuracy of the simulation results showed that the developed Kinetic model and the reactor simulation can be applied for the operational analysis of cracking furnaces, operating parameters optimization, and industrial plant profitability improvement.