A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems.

Evolutionary Computation (EC) often throws away learned knowledge as it is reset for each new problem addressed. Conversely, humans can learn from small-scale problems, retain this knowledge (plus functionality) and then successfully reuse them in larger-scale and/or related problems. Linking solutions to problems together has been achieved through layered learning, where an experimenter sets a series of simpler related problems to solve a more complex task. Recent works on Learning Classifier Systems (LCSs) has shown that knowledge reuse through the adoption of Code Fragments, GP-like tree-based programs, is plausible. However, random reuse is inefficient. Thus, the research question is how LCS can adopt a layered-learning framework, such that increasingly complex problems can be solved efficiently? An LCS (named XCSCF*) has been developed to include the required base axioms necessary for learning, refined methods for transfer learning and learning recast as a decomposition into a series of subordinate problems. These subordinate problems can be set as a curriculum by a teacher, but this does not mean that an agent can learn from it. Especially if it only extracts over-fitted knowledge of each problem rather than the underlying scalable patterns and functions. Results show that from a conventional tabula rasa, with only a vague notion of what subordinate problems might be relevant, XCSCF* captures the general logic behind the tested domains and therefore can solve any n-bit Multiplexer, n-bit Carry-one, n-bit Majority-on, and n-bit Even-parity problems. This work demonstrates a step towards continual learning as learned knowledge is effectively reused in subsequent problems.

Genetic characterization of Kushum horses in Kazakhstan based on haplotypes of mtDNA and Y chromosome, and genes associated with important traits of the horses.

The Kushum is a relatively new breed of horses in Kazakhstan that was established in the middle of the 20th century through a cross between mares of Kazakhstan local horses and stallions of Thoroughbred, Trotter, and Russian Don breeds to supply military horses. To reveal the genetic characteristics of this breed, we investigated haplotypes of mitochondrial DNA (mtDNA) and single-nucleotide polymorphisms of the Y chromosome, as well as genotypes of five functional genes associated with coat color, body composition, and locomotion traits. We detected 10 mtDNA haplotypes that fell into 8 of the 17 major haplogroups of horse mtDNA, indicating a unique haplotype composition with high genetic diversity. We also found two Y-chromosomal haplotypes in Kushum horses, which likely originated from Trotter and/or Don breeds. The findings regarding the mtDNA and Y-chromosomal haplotypes are concordant with the documented maternal and paternal origins of the Kushum horses. The allele frequencies of ASIP, MC1R, and MATP associated with coat color were consistent with the coat color variations of Kushum horses. The allele frequencies of MSTN associated with endurance performance and those of DMRT3 associated with gait suggested that the observed allele frequencies of these genes were the result of selective breeding for these traits. As a result of this study, we were able to obtain useful information for a better understanding of the origin and breeding history of the Kushum horse breed using molecular markers.

Genetic characterization of Vietnamese Yellow cattle using mitochondrial DNA and Y-chromosomal haplotypes and genes associated with economical traits.

Vietnamese Yellow cattle are native cattle well adapted to local tropical environment. The aim of this study was to investigate genetic characteristics of the Yellow cattle using molecular markers. We investigated the nucleotide sequences of mitochondrial DNA and SRY gene on Y chromosome, and genotyped SREBP-1, SCD1, EDG1, NCAPG, DGAT1, MC1R, and HSP70 genes in the Yellow cattle population. The sequence analysis of the mitochondrial DNA showed that most of the cattle possesses zebu (Bos indicus) type I1 haplotype, suggesting relatively low genetic diversity in maternal lineage. The sequence analysis of the SRY gene indicates that while most of the males possess zebu type haplotype, taurine (Bos taurus) type haplotype was also observed, suggesting gene-flow from taurine cattle. The results of the genotyping of the functional genes showed that the NCAPG, SCD, MC1R, and HsSP70 genes are polymorphic in the population, whereas the SREBP-1, EDG1, and DGAT1 genes are monomorphic. Particularly, the presence of the desirable and undesirable alleles of the NCAPG and HSP70 genes, respectively, will be important for the selection of animals by potential performances in meat productivity and fertility. The present findings will be informative for future conservation and breeding of the Vietnamese Yellow cattle.

Influence of Hydrophilicity on the Thermal-Driven Surfactant Flow at the Air/Water Surface.

A series of Triton surfactants with increasing number of ethylene oxide (EO) groups were applied to investigate thermal-driven surface flow. It was found that the thermal gradient is proportional to the number of EO groups on the surface. This correlation leads to the linear correlation between the surfactant structure and the driving force of the surface flow. The friction force, in contrast, follows a monotonic but nonlinear correlation with surfactant's EO groups. The results demonstrate the possibilities to manipulate the surface flow, with potential applications in multiple-phase systems.