This paper proposes a novel design for a hybrid engine air-particle separator filter (HEAPS) that combines the vortex tube separator (VTS) with the inertial particle separator (IPS) to enhance separation efficiency. Helicopters often operate in harsh environments, such as deserts, and landing on unprepared runways poses a severe risk to turboshaft engines due to the ingestion of dust and sand. This can result in significant damage to the engine's rotating components, impacting its life, reliability, and performance. To protect the engine from erosion and damage, an engine air particle separator system (EAPS) is installed in the engine inlet. In this study, a comparative numerical simulation was conducted between the hybrid filter and the VTS using the commercial software ANSYS Fluent. The Reynolds-averaged Navier–Stokes equations (RANS) were used to simulate incompressible turbulent flow, and the trajectory of particles was tracked using the Discrete phase model (DPM). Particle trajectories and separation efficiency were analyzed for different particle sizes, inlet velocities, and bypass mass flow ratios between the scavenge channel and the core engine channel. The results show that the hybrid design provides excellent separation efficiency, with a recovery efficiency of over 97%.

Objective: People who have higher social health can more successfully deal with the challenges and ups and downs of playing key social roles and participate more in collective activities and prevent social deviations and anomalies. In this regard, foresight and the development of a forward-looking strategy model by the media can play an important role in promoting the social health of their audience (individuals).Method: This research has been done qualitatively and quantitatively. In the qualitative phase, content analysis and Q methods were used, and in the quantitative phase, factor analysis was used to analyze the Q method data.Results: The content analysis of the media in this study showed that the most media production in the field of social deviations with 576 cases and the lowest media production in the field of violence with 237 cases. The field of social quality with 485 and the field of social issues with 312 cases are in the second and third ranks. A small questionnaire was made and based on it, the desired model was designed using PLS software. Conclusion: This model showed that the function of media is effective in promoting social health of society and can have the greatest impact on improving quality of life, reducing violence, reducing social deviations and social issues.

Introduction: Use of different methods for GnRH administration in ART cycles is a controversy.Microdose regimens in poor- responder patients are very useful and this has been determined by some studies, but it is not clear how this regimen affects patients with first (IVF/ICSI) cycle. Materials & Methods: In a prospective, randomized, clinical trial study at The Research and Clinical Center for Infertility and Madar Hospital, Yazd, we compared 140 patients who were candidates for IVF/ICSI for the first time. 70 patients received Microdose flare (A Group) and 70 patients were administered GnRH in long luteal phase (B group). Number of oocytes, follicles, embryos and the pregnancy outcome were compared in both groups. In microdose group, after administration of 21 contraceptive pills in the last cycle from day 3 , GnRH was given to patients ( 0.05 cc twice a day) and H MG from day 5 (3 vials a day). In long protocol, the patients received 0.5 cc Buserelin daily from day 21 subcutaneously and with the beginning of bleeding , the dosage was decreased to half. HMG was given three times a day. As the follow up of some patients was difficult and their pregnancy outcome was unknown, 14 patients of A group and 3 patients of B group were left out from the study. The data was analyzed by chi-square and T test. Results: Number of oocytes, embryos and outcome of pregnancy were not different the in two groups. However, the number of mature follicles in long method was higher but not significant statistically. Conclusion: The Microdose flare regimen thus offers no further advantage for patients with first cycle of IVF/ICSI.    

The effects of pH (4,4.5 and 5), inoculum level (102 and 104), temperature (5,15,25,35 and 45 0C)and type of the food (barley or mushroom soup) on lag phase of growth of Staphylococcus aureus in packet commercial Iranian soups (barley and mushroom) were evaluated as a factorial design study. The lag phase of growth of this bacteria was affected significantly (P<0.05) by the variables of "Temperature", "Inoculum" and 2-way interaction of "Inoculum x Temperature" but not by kind of soup used in this study. Regression equation was derived relating lag phase of growth to "Temperature", "Inoculum" and 2-way interaction of "Inoculum x Temperature". From this model the values of predicted tag phase of growth of Staphylococcus aureus can be calculated from any combination of the factors in this study (R2 = 0.952).

Plant development can be defined as a programmed qualitative change in plant form, which leads plant to maturity, and researchers call it as phasic development or phenology. Recognizing the timing of occurring each development stage is necessary for managing system in order to yield increment. The timing of occurring development stages depend on climate, genotype specifications and sowing date then determination of these times in different regions is difficult and it is only possible through the using of crop simulation models which can predict the timing of occurrence each development stage by integrating effective factors. The model was constructed based on linear equation of plant temperature response. In order to model evaluation two experiments were carried out in agricultural and natural resources research center of Khuzistan in 2003-2004 and 2004-2005 cropping years. Wheat development stages were determined based on Kirby and Appleyard’s scale by stereoscopic microscope and required GDD for each development stage as well. The constructed model was calibrated and run for simulation. Comparison of simulated and observed data showed that the model can strongly predict wheat development stages.