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Objective (s): To assess the quality of family planning services in the urban health centers of Shahid Bchcshti University of Medical Science. Methods: This was a descriptive study to assess structure, process and outcome of the family planning care services. Fifteen health centers of Shahid Bcheshti University of Medical Science were randomized and the quality of care by sixty-five family planning care providers of these health centers were observed and assessed using checklists. Seventy-five clients were interviewed to assess their knowledge of their selected family planning method and to fill the satisfaction forms. Data collection tools were two observational checklists and two questionnaires. Data was analyzed using SPSS l I .5. Results: The study involved 75 clients with a mean age of24.7 (SD= 4), and 65 service providers, of whom 60 (92.3%) were midwives. The mean compatibility for the structure of family planning care service was 80.60 (±7.93) percent. General family planning care had 77.3 (±13.8) % compatibility with standards; the figure for specialized contraceptives was 57.5 (±17.4) %. The mean satisfaction rate was 83.3 (±9.05) %, while the mean knowledge score of clients concerning their method of choice was 59.1 (±18) %. Using Pearson correlation test, there were no significant correlations between clientschr('39') level of knowledge or their satisfaction with their demographic characteristics (P

Sinc numerical methods are essential approaches for solving nonlinear problems. In this work, based on this method, the sinc neural networks (SNNs) are designed and applied to solve the fractional optimal control problem (FOCP) in the sense of the Riemann–Liouville (RL) derivative. To solve the FOCP, we first approximate the RL derivative using Grunwald–Letnikov ofaators. Then, according to Pontryagin's minimum principle for FOCP and using an error function, we construct an unconstrained minimization problem. We approximate the solution of the ordinary differential equation obtained from the Hamiltonian condition using the SNN. Simulation results show the efficiencies of the proposed approach. [ABSTRACT FROM AUTHOR]

In the present study, the Multi-Relaxation Time Lattice Boltzmann method (MRT-LBM) was employed to solve the airflow inside a scaled room model with dimensions of 0.914x0.457x0.305 m. This room model is considered a representative space with a 1:10 scale to an actual room. The selected room is equipped with a ventilation system. For optimizing the inlet and outlet locations of the airflow, 32 different positions in terms of length, width, and height for the inlet and 4 positions for the outlet were considered. The Taguchi method was utilized for optimizing the inlet and outlet locations, reducing the required number of experiments from 128 to 16. To assess the number of suspended particles, 86400 particles with a size of 1µm were injected into the room. Then, the particle behaviors were examined for a total duration of 60 seconds. The obtained results indicate that the location of the air conditioning system significantly influences the concentration of airborne particles responsible for disease transmission. Utilizing the Taguchi optimization method, optimal positions for the inlet and outlet air were determined to minimize the number of suspended particles in the room (the best position) and maximize it (the worst position). [ABSTRACT FROM AUTHOR]