in order to study on the effect of incomplete sire's pedigree on the prediction of breeding value and estimation of genetic trend, two quantitative traits such as weaning weight and average daily gain with heritabilities 0.15 and 0.30 were simulated. phenotypic, genetic and environmental correlations were assumed 0.5. resulted data files with different proportion of missed sire pedigree (0...

RNAstructure is a software package for RNA secondary structure prediction and analysis. This contribution describes a new set of web servers to provide its functionality. The web server offers RNA secondary structure prediction, including free energy minimization, maximum expected accuracy structure prediction and pseudoknot prediction. Bimolecular secondary structure prediction is also provide...

introduction: acute coronary syndrome accounts for more than 15% of the chest pains. recently, hess et al. developed north american chest pain rule (nacpr) to identify very low-risk patients who can be safely discharged from emergency department (ed). the present study aimed to validate this rule in eds of two academic hospitals. methods: a prospective diagnostic accuracy study was conducted on...

Epitopes are antigenic determinants that are useful because they induce B-cell antibody production and stimulate T-cell activation. Bioinformatics can enable rapid, efficient prediction of potential epitopes. Here, we designed a novel B-cell linear epitope prediction system called LEPS, Linear Epitope Prediction by Propensities and Support Vector Machine, that combined physico-chemical propensi...

This paper explores the possibility of using program profiling to enhance the efficiency of value prediction. Value prediction attempts to eliminate true-data dependencies by predicting the outcome values of instructions at run-time and executing true-data dependent instructions based on that prediction. So far, all published techniques in this area have examined hardware-only value prediction ...

Value prediction is a technique that breaks true data dependences by predicting the outcome of an instruction and speculatively executes its data-dependent instructions based on the predicted outcome. As the instruction fetch rate and issue rate of processors increase, the potential data dependences among instructions issued in the same cycle also increase. Value prediction and speculative exec...

BACKGROUND Currently, vaginal examination is the gold standard for assessment of labor progress. The World Health Organization emphasizes that the number of vaginal examinations should be limited where it is necessary. OBJECTIVES Therefore, this study aimed to determine the diagnostic accuracy of purple line in the prediction of labor progress. PATIENTS AND METHODS In this cross-sectional s...

OBJECTIVE Celiac disease is an intestinal disorder identified by mucus inflammation, villous atrophy and crypt hyperplasia. This disorder can be controlled by elimination of gluten from daily diet. Patients with celiac disease are at greater risk of gastrointestinal malignancy and non-Hodgkin lymphoma than are the general population. This study tries to present the value of gluten patch test fo...

AIMS To examine the value of the anteroposterior pericardial sac diameter (APD) for prediction of the volume of pericardial effusion. METHODS AND RESULTS We measured the APD by echocardiography before 52 pericardiocentesis procedures and correlated it with the aspirate volume, etiology, symptoms, and clinical outcome. The volume of the aspirate ranged from 60 to 2300 ml (median 650 ml). The A...

Acting in an uncertain environment requires estimating the probability and the value of potential outcomes. These computations are typically ascribed to various parts of the medial prefrontal cortex (mPFC), but the functional architecture of this region remains debated. The anterior cingulate cortex (ACC) encodes reward prediction and outcome (i.e. win vs lose, Silvetti, Seurinck, & Verguts, 20...