Stock markets are a popular kind of financial because the possibility bringing high revenues to their investors. To reduce risk factors for investors, intelligent and automated stock market forecast tools developed by using computational intelligence techniques. This study presents hyperparameter optimal genetic programming-based model generation algorithm a-day-ahead prediction index trends. o...

BACKGROUND Recurrence and toxicity occur commonly among patients with rectal cancer who are treated with 5-fluorouracil (5-FU). The authors hypothesized that genetic variation in folate-metabolizing genes could play a role in interindividual variability. The objective of the current study was to evaluate the associations between genetic variants in folate-metabolizing genes and clinical outcome...

Food security covers aspects at all spatial levels from local to global and from an interdisciplinary and systemic food systems perspective. This book aims to better understand environmental, nutritional, agricultural, demographic, socioeconomic, political, technological, and institutional drivers, costs, and outcomes of current and future food security. Interactions with contextual factors inc...

Multiple organ failure syndrome and acute renal dysfunction share many of physiologic factors involved in their development. Recent studies correlate the susceptibility to organ dysfunction in critically ill patients with genetic inheritance. Many of them consider ACE gene could be a possible candidate to elucidate a genetic predisposition or a genetic risk factor. We aimed to examine the effec...

Cohort studies can be biased by unmeasured confounding. We propose a hybrid ecologic-epidemiologic design called the trend-in-trend design, which requires a strong time trend in exposure, but is unbiased unless there are unmeasured factors affecting outcome for which there are time trends in prevalence that are correlated with time trends in exposure across strata with different exposure trends...

A four stage social network trend mining framework, the IGCV (Identification, Grouping, Clustering and Visualisation) framework, is described. The framework extracts trends from social network data and then applies a sequence of techniques (“tools”) to this data to facilitate interpretation of the identified trends. Of particular note is the visualisation of trend migrations (changes) that feat...

It is now clear that the exploration of the genetic and phenotypic diversity of nonmodel species greatly improves our knowledge in biology. In this context, we recently launched a population genomic analysis of the protoploid yeast Lachancea kluyveri (formerly Saccharomyces kluyveri), highlighting a broad genetic diversity (π = 17 × 10(-3)) compared to the yeast model organism, S. cerevisiae (π...

BACKGROUND/AIMS Genetic single-nucleotide polymorphism (SNP) data are often analyzed using trend tests that rely on a specific assumption about the way that disease frequency varies across genotypes, but the validity of this assumption is not typically known. We explore the relative efficiency of trend tests in which the assumed model may or may not correspond to the true genetic model. METHO...