Is the decadal variability in the tropical Atlantic a precursor to the NAO?

In the past two decades climate research in the tropical Atlantic with respect to the inter-hemispheric gradient of sea surface temperature (SST) emphasized the predominance of decadal-scale variability. Our results show that this mode of variability is prevalent only for part of the last 130-years record (the 1880s, the 1920s and, especially, the 1970s). There is a lag of a few months between the decadal variations of the inter-hemispheric gradient of SST and the decadal variability of the North Atlantic Oscillation (NAO). This seems to indicate that the 10-year variability first develops in the tropics and then propagates polewards. The inter-hemispheric gradient of SST mode should be thought as episodic and not as a periodic oscillation

Getting to know Pepper : Effects of people’s awareness of a robot’s capabilities on their trust in the robot

© 2018 Association for Computing MachineryThis work investigates how human awareness about a social robot’s capabilities is related to trusting this robot to handle different tasks. We present a user study that relates knowledge on different quality levels to participant’s ratings of trust. Secondary school pupils were asked to rate their trust in the robot after three types of exposures: a video demonstration, a live interaction, and a programming task. The study revealed that the pupils’ trust is positively affected across different domains after each session, indicating that human users trust a robot more the more awareness about the robot they have

Security Requirements for a Lifelong Electronic Health Record System: An Opinion

This article discusses the authors' views on the security requirements of a central, unique electronic health record. The requirements are based on the well-known principles of confidentiality and integrity and the less discussed principles of control and legal value. The article does not discuss any technical or legal solutions to the requirements proposed herein

Uma abordagem nebulosa para solução de problemas de diagnóstico, investigação e tratamento de desordens.

Este trabalho tem por objetivo apresentar uma abordagem integrada para diagnóstico, investigação e tratamentos de desordens (doenças, falhas de computadores, etc.). Nesta nova abordagem, denominada Teoria das Coberturas Nebulosas (TCN), o conhecimento é basicamente modelado através de associações causais e a inferência é abdutiva. Conceitos de Parsimonious Covering Theory (PCT), lógica nebulosa e teoria de decisão são também integrados, de maneira a tratar os vários aspectos inerentes aos processos envolvidos em raciocínio clínico. Por exemplo, a possibilidade de diversas desordens estarem conjuntamente causando um conjunto de manifestações, a manipulação de informações temporais, a consideração de condições favoráveis ao desenvolvimento de uma desordem, a incapacidade do especialista em oferecer conhecimento generalizado desprovido de incerteza e/ou imprecisão, a manipulação de fatores cruciais na tomada de decisão nas tarefas de investigação e tratamento como o custo e o risco são alguns dos aspectos abordados neste trabalho. A validação do modelo teórico foi realizada em fitopatologia, abordando especificamente a diagnose, investigação e tratamento de doenças de milho. Entretanto, devido a sua generalidade, espera-se que os desenvolvimentos teóricos obtidos possam ser aplicados para resolver problemas de diagnóstico em outras áreas de conhecimento.bitstream/CNPTIA/10820/1/bp12.pdfAcesso em: 28 maio 2008

An integrated framework for clinical problem solving in agriculture.

The goal of this paper is to give an overview of a general problem-solving framework for diagnosis, investigation and treatment tasks, that incorporates concepts of abductive inference, fuzzy set logic and decision theory. In this work we focus on the use of this framework in agriculture, with an illustration in corn plantations. The general framework models time durations and intensity of manifestations as fuzzy sets, and, in the particular case of agriculture, it takes into account the favorable conditions for the development of a given disorder and the severity of its manifestations to recommend a treatment, together with other important factors such as risk and cost