Intense and regular physical exercise is responsible for various cardiac changes (electrical, structural and functional) that represent physiological adaptation to exercise training. This remodeling, commonly referred to as 'athlete's heart', can overlap with several pathological entities, in which sudden cardiac death may be the first clinical presentation. Although pre-competitive screening c...

Meat quality is always subject to consumer scrutiny when purchasing from retail markets on mislabeling as fresh meat. Repeated cycles of ‘freeze-thaw’ degrade the quality of meat. Existing studies have primarily embarked on physical, chemical and biochemical changes induced by variable storage conditions. The authentication of fresh versus thawed meat quality can be further explored with the da...

Crowdsourcing is a promising way to reduce the effort of collecting annotations for training gesture recognition systems. Crowdsourced annotations suffer from ”noise” such as mislabeling, or inaccurate identification of start and end time of gesture instances. In this paper we present SegmentedLCSS and WarpingLCSS, two template-matching methods offering robustness when trained with noisy crowds...

23 INTRODUCTION “L ive microorganisms which when administered in adequate amounts confer a health benefit on the host” (1) is a definition for probiotics proposed through the World Health Organization with implications that the microorganisms be specifically identified and benefits be scientifically defined and proven. The current reality is that the field of probiotics is an area of health car...

A PCR assay was developed for the identification of meats and commercial meat products from quail (Coturnix coturnix), pheasant (Phasianus colchicus), partridge (Alectoris spp.), guinea fowl (Numida meleagris), pigeon (Columba spp.), Eurasian woodcock (Scolopax rusticola), and song thrush (Turdus philomelos) based on oligonucleotide primers targeting specific sequences from the mitochondrial D-...

Human immunodeficiency virus type 1 (HIV-1) sequences are accumulating in the literature at a rapid pace. For this ever-expanding resource to be maximally useful, it is critical that researchers strive to maintain a high level of quality assurance, both in experimental design and conduct and in analyses. Here we present detailed analyses of problematic sets of HIV-1 sequences in the database th...

Classification arises in a wide range of applications. A variety of statistical tools have been developed for learning classification rules from data. Understanding of their relative merits and comparisons help users to choose a proper method in practice. This paper focuses on theoretical comparison of model-based classification methods in statistics with algorithmic methods in machine learning...

MOTIVATION With the knowledge of large number of SNPs in human genome and the fast development in high-throughput genotyping technologies, identification of linked regions in linkage analysis through allele sharing status determination will play an ever important role, while consideration of recombination fractions becomes unnecessary. RESULTS In this study, we have developed a rule-based pro...

Support Vector Machine (SVM) is a fundamental technique in machine learning. A long time challenge facing SVM is how to deal with outliers (caused by mislabeling), as they could make the classes in SVM nonseparable. Existing techniques, such as soft margin SVM, ν-SVM, and Core-SVM, can alleviate the problem to certain extent, but cannot completely resolve the issue. Recently, there are also tec...

In the summer of 2003, we worked on creating a general description of Drupal--an open source content management system (CMS)--for the "About Drupal" page on drupal.org. While Drupal is clearly within the class of applications known as content management systems, we felt that to describe it with that term alone would not present a clear picture of the breadth and range of Drupal's capabilities. ...