Introduction: The adaptive neuro-fuzzy inference system (ANFIS) is a soft computing model based on neural network precision and fuzzy decision-making advantages, which can highly facilitate diagnostic modeling. In this study we used this model in breast cancer detection. Methodology: A set of 1,508 records on cancerous and non-cancerous participant’s risk factors was used.  First,...

To investigate lower extremity muscle strength as risk factor for an acute ankle injury in youth athletes. Cohort study. Basketball and floorball clubs. 188 (≤21) male 174 female 1RM leg press, maximal concentric isokinetic quadriceps hamstrings well isometric hip abductor were measured athletes followed up to three years. Cox regression models used statistical analyses. In males, greater press...

In an effort to investigate catechol methyltransferase activity in sources other than mammalian tissues and cells, a high level of enzyme activity was found in the yeast fungus Candida tropicalis CBS 94. Partial purification of the enzyme (approx. 550 fold with a recovery of 7%) could be achieved by using ion-exchange and gel filtration techniques. The molecular weight was estimated at 32,000 +...

Ultrasound-assisted drug delivery is an emerging technique that has the advantage of being non-invasive, efficiently and specifically targeted and controllable. While systemic drugs often show detrimental side effects, their ultrasound-triggered local release at the selected tissue may improve safety and specifity of therapy. An increasing amount of animal and preclinical studies demonstrates h...

In this paper, we purpose a diagnostic procedure to identify the macular disease from pattern electroretionography (PERG) signals using artificial neural networks (ANN) methods. Multilayer feed forward ANN trained with a Levenberg Marquart backpropagation algorithm was implemented. The designed classification structure has about 96% sensitivity, 100% specifity and correct classification is calc...

In this paper, we present a novel approach for dialog modeling, which extends the idea underlying the partially observable Markov Decision Processes (POMDPs), i. e. it allows for calculating the dialog policy in real-time and thereby increases the system flexibility. The use of statistical dialog models is particularly advantageous to react adequately to common errors of speech recognition syst...