Nickel sensitivity in patients with gastroesophageal reflux disease.

Objective: Various foods play important role in the pathogenesis of gastroesophageal reflux disease (GERD). These foods are shown to increase gastroesophageal reflux symptoms via various mechanisms and majority of these foods also contain nickel. The purpose of this study is to evaluate the relationship between Nickel sensitivity and GERD.

An Enhanced Artificial Bee Colony Algorithm with Solution Acceptance Rule and Probabilistic Multisearch.

The artificial bee colony (ABC) algorithm is a popular swarm based technique, which is inspired from the intelligent foraging behavior of honeybee swarms. This paper proposes a new variant of ABC algorithm, namely, enhanced ABC with solution acceptance rule and probabilistic multisearch (ABC-SA) to address global optimization problems. A new solution acceptance rule is proposed where, instead of greedy selection between old solution and new candidate solution, worse candidate solutions have a probability to be accepted.

Efficient constraint handling in electromagnetism-like algorithm for traveling salesman problem with time windows.

The traveling salesman problem with time windows (TSPTW) is a variant of the traveling salesman problem in which each customer should be visited within a given time window. In this paper, we propose an electromagnetism-like algorithm (EMA) that uses a new constraint handling technique to minimize the travel cost in TSPTW problems. The EMA utilizes the attraction-repulsion mechanism between charged particles in a multidimensional space for global optimization.

A modified artificial bee colony algorithm for p-center problems.

The objective of the p-center problem is to locate p-centers on a network such that the maximum of the distances from each node to its nearest center is minimized. The artificial bee colony algorithm is a swarm-based meta-heuristic algorithm that mimics the foraging behavior of honey bee colonies. This study proposes a modified ABC algorithm that benefits from a variety of search strategies to balance exploration and exploitation.

A clinical decision support system for femoral peripheral arterial disease treatment.

One of the major challenges of providing reliable healthcare services is to diagnose and treat diseases in an accurate and timely manner. Recently, many researchers have successfully used artificial neural networks as a diagnostic assessment tool. In this study, the validation of such an assessment tool has been developed for treatment of the femoral peripheral arterial disease using a radial basis function neural network (RBFNN).

Serum leptin, atherogenic lipids and glucose levels in patients with skin tags.

Aim: To investigate the relationship between serum leptin, atherogenic lipid and glucose levels in patients with skin tags and healthy controls.

Materials And Methods: A total of 58 patients, with at least three skin tags, aged 24 to 85 years, and 31 healthy controls aged 30 to 70 years, were examined in the present study. The subjects in all the groups were selected with statistically similar Body Mass Index (BMI).