Dicle University

About: Dicle University is a education organization based out in Diyarbakır, Turkey. It is known for research contribution in the topics: Population & Catalysis. The organization has 3007 authors who have published 6368 publications receiving 94797 citations. The organization is also known as: Dicle Üniversitesi & Zanîngeha Dîcleyê.

Brucellosis in pregnancy

Abstract: This study was undertaken in order to evaluate the effect of brucellosis in pregnancy. The serum agglutination test, Coombs and/or blood culture systems were used in the diagnosis of brucellosis. From July 2003 to September 2010, the clinical and delivery patterns of 40 healthy pregnant women were compared with 39 pregnant women who had brucellosis. There were no birth defects, anomalies or mortalities. We observed that brucellosis in pregnancy increases the incidence of preterm delivery (P = 0.01) and low birth weight (P = 0.001) from that seen in general deliveries. A cephtriaxone/rifampicin combination was found to be the most effective treatment in pregnant women infected with brucellosis (P = 0.004). Brucellosis in pregnancy has no effect on the incidence of congenital malformations or stillbirths. Preterm delivery and low birth weight can be seen as pregnancy outcomes in brucellosis. Appropriate antimicrobial therapy of brucellosis in pregnancy will reduce morbidity and prevent complications.

Clinical practice guidelines for the diagnosis and treatment of cutaneous leishmaniasis in Turkey

Abstract: Background Cutaneous leishmaniasis (CL) is a vector-born parasitic disease characterized by various skin lesions that cause disfiguration if healed spontaneously. Although CL has been endemic for many years in the southern regions of Turkey, an increasing incidence in nonendemic regions is being observed due to returning travelers and, more recently, due to Syrian refugees. Thus far, a limited number of national guidelines have been proposed, but no common Turkish consensus has emerged. Objectives The aim of this study was to develop diagnostic and therapeutic guidelines for the management of CL in Turkey. Methods This guideline is a consensus text prepared by 18 experienced CL specialists who have been working for many years in areas where the disease is endemic. The Delphi method was used to determine expert group consensus. Initially, a comprehensive list of items about CL was identified, and consensus was built from feedback provided by expert participants from the preceding rounds. Results Evidence-based and expert-based recommendations through diagnostic and therapeutic algorithms according to local availability and conditions are outlined. Conclusion Because CL can mimic many other skin diseases, early diagnosis and early treatment are very important to prevent complications and spread of the disease. The fastest and easiest diagnostic method is the leishmanial smear. The most common treatment is the use of local or systemic pentavalent antimony compounds.

Prediction of Flood Frequency Factor for Gumbel Distribution Using Regression and GEP Model

Abstract: Floods are the most common natural disasters that affect societies around the world. One of the major problems in water resources engineering design is the estimation of maximum flood discharges. These estimations are determined to assign hydrological and hydraulic dimensions to bridges, sewers, dam, spillway, protection embankments, weirs, detention ponds and diversion canals. Accurate estimation of flood frequency discharge increases safety of the hydraulic structures. In probability theory and statistics, flood frequency analysis is used to obtain the probability distribution of floods. The distribution models can be summarized the generalized extreme value, Gumbel or extreme value type 1, Log-Normal and the Log Pearson type III distributions. The Gumbel distribution provides the best fit according to the extreme value analysis studies. This study concentrates on prediction of flood frequency factor (K) for the Gumbel distribution using gene expression programming (GEP) and regression model. Some prediction models are presented for determining of flood frequency factor (K). The proposed regression model (Model 4) and GEP model (Model 7) give a fast and practical way of estimating the flood frequency factor. Thus, Gumbel’s method has been simplified in such a predictive model that one can obtain the magnitude of a given return period for flood discharges without recourse to looking at a table. The performance of the prediction models was evaluated with an illustrative example for 2, 5, 10, 20, 50, 100, 200, 250, 500 and 1000 years flood.