BACKGROUND To determine the validity of a semi-automated segmentation of bone marrow lesions (BMLs) in the knee. METHODS Construct validity of the semi-automated BML segmentation method was explored in two studies performed using sagittal intermediate weighted, turbo spine echo, fat-suppressed magnetic resonance imaging sequences obtained from the Osteoarthritis Initiative. The first study (n...

OBJECTIVE To examine children's screen media exposure and requests for advertised toys and food/drinks. DESIGN Prospective cohort study. SETTING Twelve elementary schools in northern California. PARTICIPANTS Eight hundred twenty-seven third grade children participated at baseline; 386 students in 6 schools were followed up for 20 months. INTERVENTION None. MAIN OUTCOME MEASURES Child ...

Rational discovery of novel immunodiagnostic and vaccine candidate antigens to control bovine tuberculosis (bTB) requires knowledge of disease immunopathogenesis. However, there remains a paucity of information on the Mycobacterium bovis-host immune interactions during the natural infection. Analysis of 247 naturally PPD+ M. bovis-infected cattle revealed that 92% (n = 228) of these animals wer...

Rain is one of the important hydrological components. Factors that affect amount rainfall in an area are temperature, air humidity, pressure and wind direction. Previous research stated there a strong relationship between temperature rainfall. This was conducted to find out how monthly occurs Padang City average each month for last 30 years. The method used use quantitative methods using descri...

Nonparametric correlation measures at the Kendall and Spearman correlation are widely used in the behavioral sciences. These measures are often said to be robust, in the sense of being resistant to outlying observations. In this note we formally study their robustness by means of their influence functions. Since robustness of an estimator often comes at the price of a loss in precision, we comp...

This paper provides a comparative analysis of the performance of four state-of-the-art distributional semantic models (DSMs) over 11 languages, contrasting the native language-specific models with the use of machine translation over English-based DSMs. The experimental results show that there is a significant improvement (average of 16.7% for the Spearman correlation) by using state-of-the-art ...

The paper describes the best performing system for EmoInt a shared task to predict the intensity of emotions in tweets. Intensity is a real valued score, between 0 and 1. The emotions are classified as anger, fear, joy and sadness. We apply three different deep neural network based models, which approach the problem from essentially different directions. Our final performance quantified by an a...