Establishing a microbial diagnosis for patients with community-acquired pneumonia (CAP) is still challenging and is often achieved in only 30-50% of cases. Polymerase chain reaction (PCR) has been shown to be more sensitive than conventional microbiological methods and it could help to increase the microbial yield for CAP patients. This study was designed to develop, optimize and evaluate multi...

Mixture of Probabilistic Principal Component Analyzers (MPPCA) is a seminal work in Machine Learning in that it was the first to use PCA to perform clustering and local dimensionality reduction. MPPCA is based upon the mixture of Factor Analyzers (MFA) which is similar to MPPCA except is uses Factor Analysis to estimate the covariance matrix. This algorithm is of interest to me because it is re...

1 Introduction 545 2 Eating to optimise training 545 2.1 Energy needs for training and the ideal physique 545 2.2 Strategies to reduce mass and body fat 547 2.3 Requirements for growth and gaining lean body mass 548 3 Protein needs for muscle gain, training enhancement and repair 549 4 Fuel needs for training and recovery 550 5 Eating to minimise illness and injury 551 5.

OBJECTIVE Radiotherapy is an important treatment for cancer. The main irradiated action is thought to be the irreversible damage to tumor cell DNA, but recent studies showed that high dose radiotherapy related to the tumor immune response. This study was designed to determine the relationship between Lewis lung tumor radiosensitivity and CD4+CD25+ regulatory T cells (Tregs) infiltration and elu...

Mozart K.448 has been shown to improve cognitive function, leading to what is known as the Mozart Effect. Our previous work reveals positive effects of Mozart K.448 in reducing epileptiform discharges in epileptic children. In this study, we evaluated the effect of Mozart K.545 and compared the effects with those of Mozart K.448 on epileptiform discharges in children with epilepsy. Thirty-nine ...

STRATEGIC COALITION FORMATION IN SUPPLY CHAINS N. Krothapalli and A. Deshmukh Department of Me hani al and Industrial Engineering, University of Massa husetts, Amherst, MA, USA. Phone: 1-413-545-1615 Fax: 1-413-545-1027 Email: deshmukh e s.umass.edu