APPLICATION OF FUZZY GOAL PROGRAMMING TO DETERMINE THE OPTIMAL CULTIVATION CROPS MODEL

Purpose of study: According to the role and importance of farm management units, using mathematical programming models have an essential role in determining the optimal cultivation pattern. This study represents the theory and application of a fuzzy goal programming model to determine an optimal cultivation pattern considering different goals. Methodology: Analysis of the fuzzy goal programming model and applying it in the decision of optimal cultivation pattern in the Ferdowsi University farm has been shown in this study. Main Findings: The results indicate that making flexibility in model coefficients - because of deficiency in information- with the fuzzy idea, remove this deficiency extremely, and conditions of cultivation pattern relatively improve, then inputs and sources are applied optimally. Implications: This study expects to help farmers and agriculture officials to decide better agricultural policies and practices. Novelty: This study is done at the research farm of agriculture faculty at Ferdowsi University, and the software WinQsb was used

Experimental Investigation of Interfacial Tension Measurement and Oil Recovery by Carbonated Water Injection : A Case Study Using Core Samples from an Iranian Carbonate Oil Reservoir

The authors would like to gratefully acknowledge and appreciate the Department of Petroleum Engineering, Faculty of Engineering, Marvdasht Islamic Azad University, Marvdasht, 73711-13119, Iran, for the provision of the laboratory facilities necessary for completing this work.Peer reviewedPostprin

Spectrophotometric analysis of thrombolytic activity: SATA assay

Introduction: Measurement of thrombolytic activity i.e. clot lysis is crucial for research and development of novel thrombolytics. It is also a key factor in assessment of the effectiveness of conventionally used thrombolytic agents in the clinic, which are the choice effective therapies for myocardial infarction and ischemic stroke. Previous methods used for the assessment of thrombolytic activity are often associated with some drawbacks such as being costly, time-consuming, complication and low accuracy. Here, we introduce a simple, economic, relatively accurate and fast method of spectrophotometric analysis of thrombolytic activity (SATA) assay, standardized by tissue plasminogen activator (tPA), which can quantitatively measure in vitro thrombolytic activity. Methods: Blood clots were formed, uniformly, by mixing citrated whole blood with partial thromboplastin time (PTT) reagent, together with calcium chloride. Then, designated concentrations of tPA were added to the samples, and the released red blood cells from each clot were quantified using spectrophotometry (λmax= 405 nm) as an indicator of thrombolytic activity. The accuracy of the method was tested by assessment of dose-responsibility against R2 value obtained by linear equation and measurement of limit of detection (LOD) and limit of quantification (LOQ). The SATA assay was validated in comparison with some currently used techniques. Results: A linear relationship was obtained between different concentrations of tPA versus the spectrophotometric absorbance of the related dilutions of lysed clots, at λmax = 405 nm. Calculated R2 values were greater than 0.9; with LOD of 0.90 μg/mL of tPA (436.50IU) and LOQ of 2.99 μg/mL of tPA (1450.15IU). Conclusions: Conclusively, the SATA assay is a very simple quantitative method with repeatable and reproducible results for estimating the potency of an unknown thrombolytic agent, and calculating the activity as delicate as 1 μg/mL of tPA (485 IU/mL of thrombolytic dose). © 2018 The Author(s)

Evaluation of the healing of critical bone defects treated with nanogel scaffold, platelet-rich plasma and freeze dried bone allografs alone or in combination in the rabbit

Reconstruction of critical bone defects is one of the most important issues in medical science where the use of materials with properties osteoconduction, osteoinduction and osteogenic needs. In some studies, the posetive effect of platelet rich plasma and other studies have reported no effect on the healing of bone defects. Current study also aimed to assess the restoration of critical bone defects treated with platelet rich plasma, nanogel bone scaffold and allograft alone an in combination. In this experimental study, 50 adult New Zealand white rabbits were randomly divided in five groups. After general anesthesia, under sterile conditions to help trephin drill hole size 8×12 mm in the femor of lateral condyl each of the animals created. In control group (G1) the defect was filled by blood clot only. In G2, G3 and G4, inside cavity were replaced nanogel scaffold, nanogel scaffold+PRP and nanogel scaffold +PRP, +FDBA, respectively. At weeks 2, 4 and 8 after surgery, three animals from each group were randomly selected and then sampling of the defect, the bone repair techniques using histological and histomorphometric parameters. Data were analyzed by Kruskal-Wallis and Mann-Whitney U tests and p>0.05 was considered significant. The minimum amount of bone formation between groups was belonged to the control group. The mean bone parameters were significantly different in the second week (p<0.05) and the average of all bone parameters in the G1 and G2 were zero in this week. In the fourth week of the fourth group, mean resorption surface was (83.04±2.65) and mean bone volume was (81,83±4.60). The mean bone parameters were significantly different in the fourth week (p<0.05). In the eighth week of the fourth group, mean resoption surface was (81.61 ±1.81) and mean bone volume was (83.20±1.40). The mean bone parameters were significantly different in the eitghth week (p<0.05). The results of this study showed that the bone grafts combined with PRP compared with none combining them with PRP increases the healing rate of critical bone defects. Also, healing rate of bone defects using allograft is more than with nanogel scaffold. © Medwell Journals, 2016

H-GA-PSO Method for Tuning of a PID Controller for a Buck-Boost Converter Modeled with a New Method of Signal Flow Graph Technique

In this paper, a new method of signal flow graph technique and Mason’s gain formula are applied for extracting the model and transfer functions from control to output and from input to output of a buck-boost converter. In order to investigate necessity of a controller for the converter with assumed parameters, the frequency and time domain analysis is done and the open loop system characteristics are verified. In addition, the needed closed loop controlled system specifications are determined. Moreover, designing a controller for the mentioned converter system based on the extracted model is discussed. For this purpose, a proportional-integral-derivative (PID) controller is designed and the hybrid of genetic algorithm (GA) and particle swarm optimization (PSO), called H-GA-PSO method is used for tuning of the PID controller. Finally, the simulation results are used to show the performance of the proposed modeling and regulation methods