فهرست مطالب محمدحسن نیکخواه

Reconfiguration of the distribution network as well as the optimal use of distributed generation resources in the distribution system are very effective methods to reduce losses and improve the voltage profile or in other words power quality in the electricity distribution system. In recent years, researchers have paid attention to the use of distributed production resources. The use of these resources has several advantages, the most important of which are the reduction of network losses and the increase of voltage stability. In this study, a differential evolutionary algorithm is presented to solve the desired optimization problem to reduce losses and bus voltage deviation. On the other hand, since the system load is always changing and is not constant, therefore, for the simulation results to be close to the real conditions of the distribution network, it is suggested in this study that the uncertainty of the consumption load should also be modeled and applied to the optimization problem. The mentioned problem has different discrete and continuous variables, which necessitates the use of algorithms that can search in discrete and continuous spaces. Therefore, to overcome this issue and apply different constraints to the problem, the differential evolutionary algorithm has been used. The mentioned method has been tested on a standard 33-bus test network and the results have been compared in three different scenarios. In the second and third scenarios, reconfiguration of the distribution network has been resolved in the absence/presence of scattered production units (wind turbines) respectively. The results of the proposed method have been compared with other references. The results show that the proposed differential evolutionary algorithm performs better than the other two algorithms and has achieved better results.

In the upcoming research, the issue of consumption and energy management in residential buildings has been discussed using the energy hub system. The purpose of using energy hub is the simultaneous and optimal use of several energy carriers for the appropriate, reliable and economical supply of consumer needs while complying with the conditions of satisfaction and comfort of the residents. The optimization problem in this study is formulated as mixed integer linear programming. In order to solve the optimization problem of the optimization problem, Gam’s software has been used. During the implementation of problem solving, the effect of three conventional pricing models, including hourly, time of use and instant pricing, was investigated in Iran, and part of the results are presented in the form of tables and graphs. In all cases, the possibility of selling jointly produced electricity to the grid is included; Therefore, it is possible to pay more attention to the energy hub technology even in the climatic conditions and pricing policies of Iran, and by creating a suitable investment environment, especially in large residential complexes and building blocks, to increase security. Energy, reducing the consumption of fossil fuels and expanding the use of various energy sources in different regions helped.

The presence of electric vehicle technology in distribution networks as controllable resources provides advantages such as voltage regulation, power peaking, and loss reduction. This technology has a positive effect on the performance of the distribution network, but the simultaneous presence of electric vehicles and distributed generation sources requires optimal planning because the lack of access to an application reduces the life of these technologies and can cause blackouts in the power network. Therefore, in this study, the dynamic reconfiguration of the distribution network in the simultaneous presence of distributed generation sources and electric vehicles is proposed. Also, the time-of-use mechanism has been proposed as one of the demand response applications to improve the power consumption of subscribers. The objective functions in this study include the reduction of energy loss, operational cost and energy not supplied as the objective function of reliability. In general, the optimization problem of distribution network reconfiguration is complex and non-convex. Also, considering the effect of distributed generation units and electric vehicles makes the problem more complicated than before. Therefore, finding a practical method to solve the optimization problem is one of the main challenges of this paper. For this purpose, a novel hybrid algorithm based on a combination of an improved particle swarm optimization-artificial bee colony is presented to overcome the complexities of the optimization problem. The proposed method has

Metabolic syndrome is known as a risk factor for dementia and various degrees of cognitive impairment. The aim of this study was to Comparative study of diagnostic value of Montreal cognitive assessment (MoCA) and Mini–Mental state examination (MMSE) tests for assessment and cognitive impairments screening in patients with metabolic syndrome.

This descriptive-analytical study was performed on 107 patients with metabolic syndrome. Cognitive impairment was examined by MoCA and MMSE tests.  Data were analyzed by SPSS 18 software.

Mean score of MMSE and MoCa tests were 23.28 ± 2.66 and 22.06 ± 2.93, respectively. 84 patients (78.5%) had a MoCA test impairment (cognitive impairment). Based on the MMSE test, 66 patients (61.68%) had cognitive impairment. The sensitivity and specificity of the MMSE test were 73.81% and 82.61% respectively. MMSE diagnostic test with age (p=0.000, CC= -0.459), BMI (p = 0.000, CC = -0.338), FBS (p = 0.000, CC=-0.51), the levels of triglyceride (TG) (p = 0.000, CC = -0.56) and HDL (p = 0.000, CC = -0.54) were significantly correlated.

Cognitive impairment is noticeable in patients with metabolic syndrome and it seems that metabolic syndrome markers such as fasting blood glucose, triglyceride levelsand ets associated with cognitive impairment in these patients. MMSE test is a desirable sensitivity and specificity in evaluating cognitive impairment in patients with metabolic syndrome. However, because of the lack of studies in this field, are recommended for more comprehensive conclusions.

Neutropenia is defined as absolute neutrophil counts of less than 1,500 cubic millimeters. This differential diagnosis involves a lot of normalization to a life-threatening disorder. Considering the importance of early detection of the cause of neutropenia and its appropriate measures to reduce mortality and impose financial costs, this study was conducted to determine the duration of admission of neutropenic patients based on the cause and antibiotics used. This cross-sectional study was descriptive-analytic. In this study 111 patients with neutropenia from 1962 to 1395 were surveyed at Masoumeh Hospital in Qom. Information was obtained from a patient's medical record through a questionnaire. Data were analyzed by SPSS software version 20 using independent t-test, ANOVA, Chi-square and Fisher's exact test. The significance level was considered to be less than 0.05. This study showed that patients with malignancy had the highest hospitalization time (25-35). Patients with viral diseases had the least hospitalization time (5-4 days). 71.2% of patients consumed antibiotics during the hospitalization period and 28.8% of patients without antibiotics had spent the duration of admission. The highest frequency of antibiotics was ceftriaxone (25.98%). The present study showed that there is a significant relationship between the duration of hospitalization and the cause and severity of the disease. Therefore, considering factors such as the cause at the start of admission, it can play a key role in advancing a proper management in treating patients with neutropenia

Rash is a common complaint in children that has many causes and the various differential diagnoses. Therefore, urgent and appropriate clinical diagnosis is necessary to provide immediate medical intervention. Therefore, the purpose of this study was to investigate the causes of skin rash in children hospitalized due to rash.
This descriptive-analytic study was performed on all patients admitted for skin rashes in Hazrat Masoumeh Hospital in Qom, Iran from 2010 to 2015. In this study, the data of 317 patients who were admitted to the early diagnosis of rash were collected from patient's files and recorded in the checklist.
According to our study, the most common causes of skin rashes in children were viruses with a share of 40.69% (129 cases), allergic causes being as prevalent as 21.77% (69 cases) and drug induced rashes that accounted for 20.50% (65 cases). Based on the site and type of rashes, the most common type of rashes were maculopapular rashes with 42% and hives with 31.9% prevalence, and the most common site of involvement was diffuse involvement that would account for 84% of the cases. In terms of drug use history, 35.6% had a history of antibiotic use prior to admission, and 14.5% had an antiepileptic drug use history. There was a significant relationship between the cause of rashes and the season of presentation (P This study showed that there is a significant relationship between the season and age of occurrence, but the use of these factors as a benchmark for the diagnosis of rash requires more studies. Paying attention to the causes of rash in children, knowing about these factors, and continuous evaluation of these patients can help in advancing a proper management of the problem of patients. The most frequent factors were viruses and then allergic and pharmaceutical agents, and the most common type was maculopapular.