Background & Aim: Subarachnoid hemorrhage (SAH) resulting from ruptured intracranial aneurysm (IA) is a still major cause of death and disability. Early prediction of outcome after SAH lacks accuracy since there are many factors and uncertainties in the patient’s clinical status. It is essential to determine the severity of SAH for managing the surgical procedures. Statistical techniques cannot processed these uncertainties simply. Fuzzy logic approach can be used as an ef ficient predictor.Methods & Materials/Patients: This study was conducted retrospectively in 423 patients who admitted to Ghaem hospital of Mashhad with the diagnosis of SAH due to IA between December 2012 and April 2016. The patients were assessed by ten significant variables; including World Federation of Neurological Surgeons scale (WFNS), rebleeding before operation, age, severespasm, External Ventricular Drainage (EVD), ischemia, modified Fisher scale (mFisher), infection, hydrocephalus and the operation method whether it was clipping or coiling. The fuzzy system predicts modified Rankine scale (mRs) based on table look up scheme which converts conscious and subconscious knowledge of the expert into fuzzy IF-THEN rules.Results: In this study, 300 patients is used for constructing the fuzzy rule base and 123 patients were assessed for verification of the fuzzy system. Fuzzy logic predictions correl ate with the patients’ real mRs.Conclusion: Accurate and early outcome prediction of the patient is necessary for any medical decision making. It is investigated that the outcome of the patient with IA could be predicted efficiently by fuzzy logic methodology. Thus, this research can pioneer new studies in neurosur gery area.

Background: Statins may be effective in reducing the risk of cerebral ischemia. This study aimed to examine the effect of Statins on the short-term prognosis of cerebral ischemia.Materials and Methods: This cohort study was performed on 230 patients, whose cerebral ischemia had been confirmed by the neurologist. Eighty patients were treated with Statins at least three months before the onset of disease, and 150 patients had no history of Statin treatment. Demographic and background data and motor ability of the patients were evaluated based on the modified ranking scale (MRS). The patient's motor status on admission was compared to that of the discharge time. A case was considered as poor prognosis if the motor condition would not change or become worse and as better, if it would become better on discharge.Results: Among 230 patients (mean age, 71.59 years), 103 cases were women (44.8%) and 127 men (55.2%). On admission, fifty-five (68.8%) patients in the Statin group and 26 (17.3%) in non-Statin group and on discharge, 70 patients (87.5%) in the Statin group and 43 (28.7%) in non-Statin group had better motor status (MRS<4, P<0.0001). Moreover, 67 patients (83.8%) in the Statin group and 43 (28.7%) in non-Statin group had a good prognosis (P<0.0001).Conclusion: Short-term prognosis in the Statin group before the onset of disease is better than that in the non-Statin group.

In the present study, the effect of a heat exchanger on the performance of Combined Rankin Organic Cycle (ORC) and geothermal was investigated. The hot water r coming out of the ground enters a liquid-vapor separator. The generated steam enters the steam turbine section and the liquid section enters a heat exchanger to superheat the refrigerant and rotate the ORC turbine Energy, exergy and exerco-economic modeling was performed using EES software and SPECO method in a wide range of different working fluids. The results showed that the output power of the system has a maximum point in terms of separator pressure for a simple cycle, but increases ascending for the modified cycle without limitation. In terms of energy analysis, modified cycle with heat exchanger compared to the simple cycle, R237ea and n-Pentane have the highest amounts of increasing at the efficiency and power generation are maximum with 45.4 and 40%, respectively. In terms of power generation cost savings, R237ea and R123 with 0.63 and 0.55 (cent / kW-hr), respectively. Cis-2-butene with 6376 kW in terms of power generation and R237ea in terms of cost savings in power generation are the best refrigerants.

This study was carried out in order to evaluate the psychometric properties of the Persian version of the Modified Schutte Emotional Intelligence Scale (MSEIS) in Iranian sample. MSEIS is a self-report 41-item questionnaire to assess the trait emotional intelligence. For this purpose, the MSEIS, SCL-90-R, GHQ-28 and NEO-FFI-R were completed by a sample of 677 Tabriz University students (304 males, 373 females) aged 18-30 years (mean, 21). As it was predicted, there were significant correlations between the MSEIS and the above questionnaires. This correlation was negative and significant with the subscales of the SCL-90-R, GHQ-28 and its subscales and nearoticism (N). Also there were positive and significant correlations with the conscientiousness (C), extroversion (E) and agreeableness (A). Form the three models that suggested by exploratory factor analysis, only the four factor model was confirmed by confirmatory factor analysis (p>0.01). This finding was consistent with the revised model of Mayer and Salovey (1997). The overall reliability coefficient (internal consistency) of the MSEIS was 84 and this index for the four factors was .78, .65, .61, and .62. In general, the MSEIS have a satisfactory psychometric property.

Introduction: Myelopathy due to Human T Lymphocyte virus Type 1or Human associated myelopathy (Tropical Spastic paraparesis) is one of the clinical manifestations of this virus which is endemic in specific areas including the North-Eastern part of Iran. The aim of this case- control study was to evaluate the neurological symptoms and signs among patients who had already been identified as affected by the virus.Materials and Methods: The patients’ family background and medical history in terms of HTlV1 infection were evaluated. In addition, through administrating a laboratory investigation, sensory examination was used to detect any pain, vibration and/or priprioception in both upper and lower extremities. The evaluation of motor system was done according to force (0 to 5 on the basis of Medical Research Council Power Classification) and tonicity (based on the Modified Asworth Scale). Deep tendon reflexes as well as sphincter complaints were also investigated.Results: Among 15 cases (3 males, 12 females), the average age was 50.6±16.5 years. The average duration of symptomatic was found to be 5.6±4.1 years. Two patients reported to have background history of Htlv1 infection. The most common complaints by the patients were: paresthesia (53.3%), muscular weakness (33.3%) and urination frequency (13.3%). None of the patients had atrophy. Symmetrical increase in tonicity was detected in both extremities; however, it was predominant in the lower ones (P=0.02).Conclusion: Urinary complaints may be the first clinical presentation of HAM/TSP. The most common sensory sign in our patients was paresthesia. We suggest that all the patients with problems in symmetric sensory and/or motor system who are especially at risk of being exposed to HTLV1 infection as well as those who complain about urinary problems should be checked for HAM/TSP.

2With the advancement of technology and more sophisticated thermodynamic analyses, the optimization of the Rankine cycle and its integration with other thermal energy sources have become feasible. This study focuses on the design and simulation of a small-scale power and heat generation system based on a modified Rankine cycle. The primary aim is to harness waste heat from the cooling section of a cement production plant for the simultaneous generation of electricity and heat, employing a comprehensive approach from both thermodynamic and economic perspectives. The energy analysis of the system is based on the principles of conservation of mass, energy, and momentum, while the exergy analysis employs a model derived from the first and second laws of thermodynamics. Critical parameters influencing the system's performance—such as turbine inlet and outlet pressures and the heat supplied to the boiler—were identified and their effects on improving system efficiency were evaluated. Optimization was performed using a genetic algorithm, taking into account the characteristics of the working fluid. The results of the analysis reveal that, under initial conditions, the system achieves an energy efficiency of 23% and an exergy efficiency of 22.68%. After optimization, these efficiencies were increased to 29.63% and 37.03%, respectively.