Reward prediction errors consist of the differences between received and predicted rewards. They are crucial for basic forms of learning about rewards and make us strive for more rewards-an evolutionary beneficial trait. Most dopamine neurons in the midbrain of humans, monkeys, and rodents signal a reward prediction error; they are activated by more reward than predicted (positive prediction er...

To study preterm birth prediction based on fetal fibronectin (fFN) in pregnant women, we randomly selected 124 patients. Vaginal posterior fornix secretions were analyzed using fFN quick test strips. Leucorrhea routine samples were collected to detect bacterial vaginosis, mycoplasma, and chlamydia. Delivery data at 7 days, 14 days, 34 weeks, and 37 weeks were documented and the sensitivity, spe...

BACKGROUND AND PURPOSE It has previously been demonstrated that comparison of signal intensity (SI) between selected brain structures on T1-weighted images enables distinction between the absence or presence of hypoxic-ischemic (HI) brain injury in young infants. The aim of the present study was to assess whether this method of brain structure T1-weighted SI comparison also enables prediction o...

Midbrain dopaminergic neurons projecting to the ventral striatum code for reward magnitude and probability during reward anticipation and then indicate the difference between actual and predicted outcome. It has been questioned whether such a common system for the prediction and evaluation of reward exists in humans. Using functional magnetic resonance imaging and a guessing task in two large c...

This study is to establish a predictive index (PI) model of 5-year survival rate for patients with hepatocellular carcinoma (HCC) after radical resection and to evaluate its prediction sensitivity, specificity, and accuracy.Patients underwent HCC surgical resection were enrolled and randomly divided into prediction model group (101 patients) and model evaluation group (100 patients). Cox regres...

OBJECTIVE The objective of the study was to determine the diagnostic indices and predictive values by bedside assessment of amniotic fluid interleukin-6 (IL-6) concentration in the identification of microbial invasion of the amniotic cavity (MIAC) and/or histological chorioamnionitis (HCA) in patients with preterm prelabor rupture of membranes. STUDY DESIGN One hundred twenty-four women with ...

The behavior of sand crushing will appear when the confining pressure is up to a certain value, which results in disappearing of the positive dilatancy of sand. Adopting a new hardening parameter with the crushing stress, an elastoplastic constitutive model considering sand crushing is proposed. Comparing the conventional triaxial compression test results with the model prediction, it shows tha...

Methods This is a retrospective cohort study carried out at the Orenburg Municipal Perinatal Center and Maternity Hospital No 2 from 2006 to 2012. In this study 3760 pregnancy outcomes were analyzed. The estimated fetal sonographic weight by Hadlock’s formula was obtained within the last week prior to delivery. The study population was divided into 4 groups (true positive, true negative, false ...

BACKGROUND The present study aimed to develop an artificial neural network (ANN) based prediction model for cardiovascular autonomic (CA) dysfunction in the general population. METHODS We analyzed a previous dataset based on a population sample consisted of 2,092 individuals aged 30-80 years. The prediction models were derived from an exploratory set using ANN analysis. Performances of these ...

BACKGROUND/AIM Diagnosis of perinatal hypoxic-ischemic encephalopathy (HIE) and early prediction neurological outcome is important and difficult. The aim of this study was to determine the prognostic value of amplitude-integrated electroencephalography (aEEG) for abnormal neurodevelopment outcome in a neonate with HIE. METHODS A total of 90 neonates > 32 gestational age (GA) with HIE were enr...