Diagnosis is an important process in patient care. A suitable diagnosis helps a physician determine a precise treatment. Physicians also have a tendency to seek collaboration from other colleagues and expert systems for better confidence in their decision. The sources…

In this paper a cross-disciplinary study of the use of epistemic markers as hedging rhetorical strategies in research articles in English is carried out. Based on computer readable data, and combining quantitative and
qualitative methods, the article argues that the…

Nutrigenomics covers disparate fields of nutrition science and has been defined in many different ways. In fact, this emerging field of science has multiple facets, many of which do not generate the same ethical issues. In particular, different ethical issues…

Organizations must establish processes for managing knowledge across boundaries because of the specialized and task-dependent forms of knowledge required to deliver products and services. To address this challenge an integrative framework is developed that identifies and integrates the value of…

.

Purpose – Faced with increasing environmental problems, traditional methods for transmitting information regarding corporate environmental actions are insufficient. Accordingly, the purpose of this paper is to suggest the environmental capital report, the knowledge map and the balanced scorecard as alternative…

Purpose – This study has a twofold purpose: to identify the competitive strategies and advantages of hotels located in the province of Alicante (Spain); and to inform hotel managers about how some key strategic variables (size, type of hotel management,…

Une préoccupation essentielle traverse cette thèse: l'indifférence systémique de la Loi internationale sur la propriété intellectuelle a l'égard des savoirs traditionnels autochtones. De manière générale, un écart semble d'ailleurs croissant entre l'importance des accords internationaux sur les questions d'intérêt commercial…

In this work we present a reactive autonomous robot navigation system based only on omnidirectional vision. It does not rely on any prior knowledge about the environment apart from assuming a structured one, like indoor corridors or outdoor avenues. The…

This paper analyzes the suitability of reinforcement learning (RL) for both programming and adapting situated agents. We discuss two RL algorithms: Q-learning and the Bucket Brigade. We introduce a special case of the Bucket Brigade, and analyze and compare its…