Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review.

This paper reviews recent studies on the Particle Swarm Optimization (PSO) algorithm. The review has been focused on high impact recent articles that have analyzed and/or modified PSO algorithms. This paper also presents some potential areas for future study.

Telemedicine as a special case of machine translation.

Machine translation is evolving quite rapidly in terms of quality. Nowadays, we have several machine translation systems available in the web, which provide reasonable translations. However, these systems are not perfect, and their quality may decrease in some specific domains.

Radiation safety awareness among medical staff.

Background: The common access to imaging methods based on ionizing radiation requires also radiation protection. The knowledge of ionizing radiation exposure risks among the medical staff is essential for planning diagnostic procedures and therapy. Evaluation of the knowledge of radiation safety during diagnostic procedures among the medical staff.

Disk-based compression of data from genome sequencing.

Motivation: High-coverage sequencing data have significant, yet hard to exploit, redundancy. Most FASTQ compressors cannot efficiently compress the DNA stream of large datasets, since the redundancy between overlapping reads cannot be easily captured in the (relatively small) main memory. More interesting solutions for this problem are disk based, where the better of these two, from Cox et al.

Quality of protection evaluation of security mechanisms.

Recent research indicates that during the design of teleinformatic system the tradeoff between the systems performance and the system protection should be made. The traditional approach assumes that the best way is to apply the strongest possible security measures. Unfortunately, the overestimation of security measures can lead to the unreasonable increase of system load.

The expanded invasive weed optimization metaheuristic for solving continuous and discrete optimization problems.

This paper introduces an expanded version of the Invasive Weed Optimization algorithm (exIWO) distinguished by the hybrid strategy of the search space exploration proposed by the authors. The algorithm is evaluated by solving three well-known optimization problems: minimization of numerical functions, feature selection, and the Mona Lisa TSP Challenge as one of the instances of the traveling salesman problem. The achieved results are compared with analogous outcomes produced by other optimization methods reported in the literature.

Multiobjective resource-constrained project scheduling with a time-varying number of tasks.

In resource-constrained project scheduling (RCPS) problems, ongoing tasks are restricted to utilizing a fixed number of resources. This paper investigates a dynamic version of the RCPS problem where the number of tasks varies in time. Our previous work investigated a technique called mapping of task IDs for centroid-based approach with random immigrants (McBAR) that was used to solve the dynamic problem.

Identification of serum proteome components associated with progression of non-small cell lung cancer.

The aim of the present study was to perform comparative analysis of serum from patients with different stages of non-small cell lung cancer (NSCLC) using the three complementary proteomic approaches to identify proteome components associated with the progression of cancer. Serum samples were collected before any treatment from 200 patients with NSCLC, including 103 early stage, 64 locally advanced and 33 metastatic cancer samples, and from 200 donors without malignancy. The low-molecular-weight fraction of serum proteome was MALDI-profiled in all samples.

Doxorubicin delivery enhanced by electroporation to gastrointestinal adenocarcinoma cells with P-gp overexpression.

Electroporation (EP) can effectively support the penetration of macromolecules from the extracellular space into cells. Electropores induced by the influence of electromagnetic field generate additional paths of transport for macromolecules. The aim of this study was evaluation of the electroporation effect on doxorubicin transport efficiency to human colon (LoVo and LoVo/DX) and gastric (EPG85-257/P and EPG85-257/RDB) adenocarcinoma cells with overexpression of P-glycoprotein and murine macrophage cell line (P388/D1).

DSRC 2--Industry-oriented compression of FASTQ files.

Summary: Modern sequencing platforms produce huge amounts of data. Archiving them raises major problems but is crucial for reproducibility of results, one of the most fundamental principles of science. The widely used gzip compressor, used for reduction of storage and transfer costs, is not a perfect solution, so a few specialized FASTQ compressors were proposed recently.

A hybrid evolutionary algorithm for wheat blending problem.

This paper presents a hybrid evolutionary algorithm to deal with the wheat blending problem. The unique constraints of this problem make many existing algorithms fail: either they do not generate acceptable results or they are not able to complete optimization within the required time. The proposed algorithm starts with a filtering process that follows predefined rules to reduce the search space.

Complete genome sequence of Gluconacetobacter xylinus E25 strain--valuable and effective producer of bacterial nanocellulose.

This study reports the release of complete genome sequence of the producer of bacterial nanocellulose (BNC) - Gluconacetobacter xylinus E25, a vinegar-isolated strain. Preliminary sequence analysis revealed complexity of the genome structure and familiarized genetic basis of productive properties of E25 strain. The genome consists of one chromosome and five plasmids.