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This study deals with placement of wind turbines in distribution networks for maximising the probabilistic index of load supply capability (LSC). To calculate this index, one of the most accurate and efficient probabilistic simulation methods known as Latin hypercube sampling is used. Variations of load and output power of wind turbines are considered in the probabilistic evaluation of LSC. Moreover, the constraints of maximum voltage drop and current carrying capacity of conductors are considered as the limiting factors of the network LSC. Since there is a correlation between the network load and the output power of wind turbines, considering this correlation in simulations will push the results closer to reality. Therefore, the Cholesky decomposition approach is used to take into account the correlation between the input variables of the problem. Casestudiesare carried out on the 33‐bus IEEE distribution network. The results of case studies demonstrate the effectiveness of the proposed methodology.

Background: Craniosynostosis refers to the premature fusion of cranial sutures. Premature closure can impair brain development and cognitive problems. Only available treatment of craniosynostosis is through surgical intervention which is associated with excessive blood loss. Objectives: In this study, we investigate the prevalence of each ABO/Rh blood group amongst patients with different types of craniosynostosis. Methods: We included 163 patients, under craniosynostosis treatment, in Imam Hossein children’s hospital at Isfahan, Iran. A retrospective analysis was performed and the frequency of blood groups as well as types of craniosynostosis were reported. Moreover, the connection between ABO/Rh blood groups and the types of craniosynostosis was examined by chi-square test. Results: Of 163 cases reviewed; The majority of participants had blood group A positive (32.5%), followed by O positive (31.3%). The rest of the blood groups were reported in order: B positive (22.1%), B negative (4.9%), AB positive (4.3%), O negative (2.5%), A negative (1.8%), AB negative (0.6%). Also, the most common type of craniosynostosis was metopic (27%) and the other types were pansynostosis (23.9%), sagittal (21.5%), coronal (16.6%), multisuture (10.4%) and lambdoid (0.6%) respectively. Due to connection between ABO/Rh blood groups and the types of craniosynostosis, no significant relationship was observed. Conclusion: Based on the results of the present study, it was found that the frequency of ABO blood groups in children with craniosynostosis can be different from the population of the same area. Also, the ratio of different types of craniosynostosis was different from previous data.

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Background: Craniosynostosis is a congenital deformity of the skull that occurs at birth. Objectives: This study aimed to investigate the frequency of different types of craniosynostosis in Isfahan, Iran. Methods: In this retrospective study, the records of all patients referred to the pediatric neurosurgery clinic of Imam Hossein children’s hospital in Isfahan, Iran from 2013 to 2018 were diagnosed with craniosynostosis. Incomplete files were excluded. Demographic information of patients and type of delivery, underlying diseases of their parents, diseases of maternal pregnancy, type of craniosynostosis, syndromic or non-syndromic craniosynostosis were collected. Data were analyzed using SPSS software version 22. Results: The diagnosis of craniosynostosis in 63% of cases (n=121) was a single suture and in 37% of cases (n=72) was a complex suture. There was no significant difference in the frequency distribution of craniosynostosis in males and females (P>0.05). Conclusion: Due to the prevalence of 16 cases per 100,000, we can reduce the complications of this disease by educating doctors and parents.