Dear Editor, We read with interest the recently published meta-analysis report titled “Chicken Essence for Cognitive Function Improvement: A Systematic Review and Meta-Analysis” by Teoh et al. [1] in Nutrients. We feel that a substantial number of questions are raised by this analysis, none of which are sufficiently addressed by the authors. The questions and issues can be grouped into general ...

In many non-deterministic search algorithms, particularly those analogous to complex biological systems, there are a number of inherent difficulties, and the Bees Algorithm (BA) is no exception. The BA is a population-based metaheuristic search algorithm inspired by bees seeking nectar/pollen. Basic versions and variations of the BA have their own drawbacks. Some of these drawbacks are a large ...

Recent work on Authorship Attribution (AA) proposes the use of meta characteristics to train author models. The meta characteristics are orthogonal sets of similarity relations between the features from the different candidate authors. In that approach, the features are grouped and processed separately according to the type of information they encode, the so called linguistic modalities. For in...

The idea of Information Visualization is to get insights into great amounts of abstract data. Especially document sets found by searching the World Wide Web are a special challenge. The paper gives a short overview on the variety of possible visualizations for this application area. The presented ideas are grouped by using the four phase framework of information seeking. Crucial factors for the...

Although microsatellites are ubiquitous in eukaryota, the number of available markers varies strongly among taxa. This meta-analysis was conducted on 32 insect species. Sequences were obtained from two assembled whole genomes, whole genome shotgun (WGS) sequences from 10 species and screening partial genomic libraries for microsatellites from 23 species. We have demonstrated: (1) strong differe...

!BSTRACT 4HE IDEA OF )NFORMATION 6ISUALIZATION IS TO GET INSIGHTS INTO GREAT AMOUNTS OF ABSTRACT DATA %SPECIALLY DOCUMENT SETS FOUND BY SEARCHING THE 7ORLD 7IDE 7EB ARE A SPE CIAL CHALLENGE 4HE PAPER GIVES A SHORT OVERVIEW ON THE VARIETY OF POSSIBLE VISUALIZATIONS FOR THIS APPLICATION AREA 4HE PRESENTED IDEAS ARE GROUPED BY USING THE FOUR PHASE FRAMEWORK OF INFORMATION SEEKING #RUCIAL FACTORS F...

We introduce an algorithm for finding patterns that works on finite samples of information sources in which the symbol produced in position k is determined by the previous symbols. It is assumed that symbols are grouped by the source in patterns or meta-symbols produced with some frequency. A scheme for the method’s Application to data compression is sketched.