Factors associated with the outcome of root canal treatment-A cohort study conducted in a private practice.

Aim: To investigate the association of various pre-, intra- and post-operative factors on root canal treatment outcome.

Methodology: In this cohort study, primary or secondary root canal treatment of mature permanent teeth was performed by a single endodontist in a private practice over 13 years, and followed 1-4 years after treatment. Treatment details and clinical and radiographic data were collected.

Semantic remote patient monitoring system.

We propose an automated and personalized remote patient monitoring (RPM) system, which is applied to care homes and is dependent on the manipulation of semantics describing situations during patient monitoring in ontological models. Decision making in RPM is based on reasoning performed upon ontologies, which secures the delivery of appropriate e-health services in care homes. Our working experiment shows an example of preventive e-healthcare, but it can be extended to any situation that requires either urgent action from healthcare professionals or a simple recommendation during RPM.

Activation of brainstem neurons by underwater diving in the rat.

The mammalian diving response is a powerful autonomic adjustment to underwater submersion greatly affecting heart rate, arterial blood pressure, and ventilation. The bradycardia is mediated by the parasympathetic nervous system, arterial blood pressure is mediated via the sympathetic system and still other circuits mediate the respiratory changes. In the present study we investigate the cardiorespiratory responses and the brainstem neurons activated by voluntary diving of trained rats, and, compare them to control and swimming animals which did not dive.

Semantic management of nonfunctional requirements in an e-health system.

We have designed an ontological environment that makes provisions for choosing adequate devices for remote monitoring of patients who are suffering from poststroke health complications. We argue that nonfunctional requirements in e-health systems, designed for remote patient monitoring, can be managed through semantics stored in ontological models and reasoning performed on them. Our contribution is twofold: (1) we address the pervasiveness of e-health systems by choosing devices embedded in them, and through patients' expectations in terms of having access to pervasive health services personalized to their needs; and (2) we enrich the specification of nonfunctional requirements for remote patient monitoring by highlighting their role in the development of e-healthcare systems.