Factors triggering familial mediterranean fever attacks, do they really exist?

Several possible factors are hypothesized to trigger familial Mediterranean fever (FMF) attacks; however, there is no consensus on this matter. We aimed to identify these triggering factors and analyze their relationship with the Mediterranean fever gene mutation status. We prepared a questionnaire that included the most commonly mentioned possible trigger factors of familial Mediterranean fever.

Optimization of synchrotron radiation parameters using swarm intelligence and evolutionary algorithms.

Alignment of each optical element at a synchrotron beamline takes days, even weeks, for each experiment costing valuable beam time. Evolutionary algorithms (EAs), efficient heuristic search methods based on Darwinian evolution, can be utilized for multi-objective optimization problems in different application areas. In this study, the flux and spot size of a synchrotron beam are optimized for two different experimental setups including optical elements such as lenses and mirrors.

Genetic insights into bladder cancer: the impact of SIRT1 gene polymorphism.

Bladder cancer (BC) has shown a significant global health concern with distinct pathological, genetic, and epigenetic characteristics. Its prevalence is influenced by various risk factors, including age, gender, and genetic predisposition. This study investigates the association between BC and the Sirtuin 1 (SIRT1) gene polymorphism rs369274325 in the Turkish population.

Multidrug-Resistant Infections After Liver Transplantation, Etiology and Risk Factors: A Single-Center Experience.

Objectives: Patients undergoing liver transplant are at an increased risk of morbidity and mortality due to the development of infections. We aimed to evaluate the risk factors affecting the incidence of infectious diseases after liver transplant and to present the epidemiological data.

Materials And Methods: We investigated patients aged ≥18 years who underwent liver transplant between 2012 and 2020 at our center.

Cloud type classification using deep learning with cloud images.

Clouds play a pivotal role in determining the weather, impacting the daily lives of everyone. The cloud type can offer insights into whether the weather will be sunny or rainy and even serve as a warning for severe and stormy conditions. Classified into ten distinct classes, clouds provide valuable information about both typical and exceptional weather patterns, whether they are short or long-term in nature.