The paper describes recent results from developing and testing LUS methodology for user modeling. LUS employs AQ learning for automatically creating user models from datasets representing activities of computer users. The datasets are stored in a relational database and employed in the learning process through an SQL-style command that automatically executes the AQ20 rule learning program and g...

Background: Our study presents the first assessment of relationships between environmental heterogeneity and palm community at landscape scale northern boundary tropical rainforest distribution in America.
 Question: How does landscape-level (edaphic, topographic as well density, diversity, tree biomass) shapes a protected reserve affected by defaunation?
 Study site date: The was car...

Introduction: It is already well known that infants and children infected with COVID-19 develop mild to moderate forms of the disease, fever oropharyngeal congestion being most common symptoms. However, there are instances when patients claim be experiencing respiratory Because repeated lung examinations required in these situations, non-irradiating imaging techniques preferred. This study’s ob...

This paper describes briefly a method for applying AQ symbolic learning to problems of computer user modeling and intrusion detection. The method, called LUS (Learning User Signatures), learns models of users’ interaction in the form of sets of rules in attributional calculus, and signals a possible intrusion when a user interaction with a computer violates the model. An important characteristi...

BACKGROUND Pneumonia is a common and serious infectious disease that can cause high mortality. The role of lung ultrasound (LUS) in the diagnosis of pneumonia is becoming more and more important. METHODS In the present study, we collected existing evidence regarding the use of LUS to diagnose pneumonia in adults and conducted a systematic review to summarize the technique's diagnostic accurac...

Introduction: Lung ultrasound (LUS) implementation in patients with COVID-19 can help to establish the degree of pulmonary involvement, evaluate treatment response and estimate in-hospital outcome. Objective: To application LUS infection predict mortality. Methods: The study was carried out from April 1 August 1, 2020 admitted Intensive Care Unit. evaluation by physicians trained critical car...

Physiotherapists who work in respiratory care spend a great deal of time developing expertise in the use of a range of assessment tools including: observation, palpation, auscultation and percussion. Further specialist skills are needed for the interpretation of arterial blood gas (ABG); chest radiographs (CXR) and computed tomography (CT), in order to ensure the most accurate diagnosis can be ...

His main research area is scientific computing with particular emphasis on matrix computations and applications. Currently his interests include GPS integrity monitoring and positioning. His main research area is numerical linear algebra and its applications, and one of his interests is efficient and numerically reliable estimation for linear systems. Dr. Studenny is the Aerospace GPS Engineeri...

Without the requirement of line-of-sight, electromagnetic (EM) tracking is increasingly studied and used in clinical applications. We designed experiments to evaluate a commercial EM tracking system in three situations: using the EM sensor by itself; fixing the sensor onto the handle of a stereoscopic (i.e., 3D) laparoscope; and placing the sensor on the outside surface of the head of a laparos...