Particle swarm optimization (PSO) is an evolutionary algorithm known for its simplicity and effectiveness in solving various optimization problems. PSO should have strong yet balanced exploration and exploitation capabilities to enhance its performance. A superior solution guided PSO (SSG-PSO) framework integrated with an individual level based mutation operator and different local search techn...

PURPOSE The main objective of this study was to investigate the efficacy of both programmed (speed, agility, and quickness; SAQ) and random (small-sided games; SSG) conditioning methods on selected neuromuscular and physical performance variables. METHODS Twenty volunteers (21.1 +/- 4.0 y, 1.71 +/- 0.09 m, 66.7 +/- 9.9 kg; mean +/- SD) completed the study. The study design used two physically...

Native Hawaiians and other Pacific Islanders (NH/PI; e.g., Samoan and Chuukese) have higher type 2 diabetes prevalence compared to other groups in Hawai'i. Partners in Care (PIC), a culturally tailored, community-based, diabetes self-management education intervention (DSME), is effective at improving participants' glycemic control and self-care behaviors. Maintenance of improvements is challeng...

(14 ), which takes place after neutral pH is restored for the DTT reduction and mBBr conjugation. Measured basal GSSPs in human and rat RBCs are very low, and only a few previous reports found relatively close values (23 ). Conversely, most authors reported higher concentrations; one reason for these discrepancies could be that samples were frozen before the ESI-MS determination. It is possible...

INTRODUCTION The local treatment in burns larger than 50% of total body surface area is still the great challenge for surgeons. AIM This paper presents a review of different solutions for deep burn wound healing in children and the early outcomes of treatment with combined autologous cell culture technique. MATERIAL AND METHODS For this study, 20 children aged between 4 and 12 years with 55...

This paper presents a novel method for improving the training step of the single-scale Gabor filters by using the Boltzmann univariate marginal distribution algorithm (BUMDA) in X-ray angiograms. Since the single-scale Gabor filters (SSG) are governed by three parameters, the optimal selection of the SSG parameters is highly desirable in order to maximize the detection performance of coronary a...