This paper presents an investigation of spectrum co-existence between IEEE 802.11b and 802.16a networks in the same shared frequency band using cognitive radio techniques with different levels of complexity. Simple reactive interference avoidance algorithms as well as proactive spectrum coordination policies based on etiquette protocols are proposed and compared in terms of achievable spectrum ...

Web-based data collection of non-reactive data is becoming increasingly important for many social science fields. Being able to introduce and automatically enforce policies that regulate the collection and the use of those data is crucial for taking into account the privacy and confidentiality wishes of data providers. Those policies are currently expressed in natural language or in a language ...

This article is an introduction to our research towards a formal framework for tackling reliability in reactive autonomic systems with self-monitoring functionality. The Autonomic System Specification Language (ASSL) is a framework for formally specifying and generating autonomic systems. With ASSL, we can specify high-level behavior policies, which shows that it is very appropriate language fo...

A policy for a minimal reactive agent is a set of condition-action rules used to determine its response to perceived environmental stimuli. When the policy pre-disposes the agent to achieving a stipulated goal we call it a teleo-reactive policy. This paper presents a framework for constructing and evaluating teleo-reactive policies for one or more minimal agents, based upon discounted-reward ev...

This paper discusses the learning of probabilistic planning without a priori domain-specific knowledge. Different from existing reinforcement learning algorithms that generate only reactive policies and existing probabilistic planning algorithms that requires a substantial amount of a priori knowledge in order to plan, we devise a two-stage bottom-up learning-to-plan process, in which first rei...

| This paper discusses the learning of probabilis-tic planning without a priori domain-speciic knowledge. Diierent from existing reinforcement learning algorithms that generate only reactive policies and existing probabilis-tic planning algorithms that requires a substantial amount of a priori knowledge in order to plan, we devise a two-stage bottom-up learning-to-plan process, in which rst rei...

INTRODUCTION There are several vested interest lies on research publication hence the editorial policy is the sole important factor to control and regulate ethical publications in medical sciences especially on 'conflict of interest' issue. The study was aimed to assess on awareness of 'conflict of interest' issue in medical research and publication among the editorial staff, peer reviewers and a...

BACKGROUND Busy clinicians need easy access to evidence-based information to inform their clinical practice. Publishers and organizations have designed specific tools to meet doctors' needs at the point of care. OBJECTIVE The aim of this study was to describe online point-of-care summaries and evaluate their breadth, content development, and editorial policy against their claims of being "evi...

In 2005, we performed the largest survey on clinical trials of biotherapies for all solid tumors and found indirect evidence of a publication bias: editors of medical journals were more prone to publish positive results independently from the quality of the studies. We collected data from 2003 to 2015 in 487 studies, and the publication bias previously described was not found in the years betwe...

Does advertising compromise the issue of peer review audits of journals? In a recent New York 7hrres article, 1 George D. Lundberg, editor of JAJL4-l?re Journal of the American Medical Association (JAM4), was reported to be reluctant to provide information on the ~rformance of peer review. Other journal editors interviewed for the limes article, however, look more favorably on the idea of audit...