a 42-d study was conducted to evaluate the influence of full-fat flaxseed (fs) and canola seed (cs) on broiler performance, fatty acid (fa) profile of meat, and the oxidative stability of meat during frozen storage. a total of 324 one-day old broiler chicks were randomly attributed to 6 experimental groups and fed iso-energetic and isonitrogenous diets as follows, c: control (soybean-corn); cs1...

Air quality prediction is highly important in view of the health impacts caused by exposure to air pollutants in urban air. This work has presented a model based on support vector machine (SVM) technique to predict daily average carbon monoxide (CO) concentrations in the atmosphere of Tehran. Two types of SVM regression models, i.e. -SVM and -SVM techniques, were used to predict average daily C...

Our goal was to identify evolutionary conserved frame transitions in protein coding regions and to uncover an underlying functional role of these structural aberrations. We used the ab initio frameshift prediction program, GeneTack, to detect reading frame transitions in 206 991 genes (fs-genes) from 1106 complete prokaryotic genomes. We grouped 102 731 fs-genes into 19 430 clusters based on se...

The trumpeting by the Health Professions Council (HPCSA) of screening guidelines for emergency care workers handling victims of domestic violence - while welcomed - got a muted response from emergency medicine chiefs in the country's most brutal province last month. The two people heading the Western Cape's clinical protocols and training for emergency medicine and overall emergency medicine se...

The human brain is a veritable hodgepodge of ad hoc assemblages of the old, the borrowed, and the new, gerrymandered in response to millennia of internal and external forces. It follows that human cognition has unfolded, over evolutionary time, out of disparate fragments: emotion, movement programs, very old instincts, multiple memory systems, visual patterning and many uses of sound, all in co...

Air quality prediction is highly important in view of the health impacts caused by exposure to air pollutants in urban air. This work has presented a model based on support vector machine (SVM) technique to predict daily average carbon monoxide (CO) concentrations in the atmosphere of Tehran. Two types of SVM regression models, i.e. -SVM and -SVM techniques, were used to predict average daily C...