Valor económico do solo: perspectivas pública e privada

Having in mind that the majority of human beings do not take consciousness how fundamental soil is for their survi - val, nor how men action can lead to soil dilapidation, this works tries to call attention for its real value. Concisely, the main objectives of this paper are: to show clearly the most relevant soil functions; to analyze how soil management can influence positive or negatively soil capacity of production; to present a methodology for private soil assessment , making clear that privates valuate almost exclusively the soil capacity to produce market goods and ser - vices; to stress that many goods and services have global public effects; to emphasize that society ought to recognize soil multifunctionality and must try to impute some value to all those goods and services although some of them have no market value, at present. The paper concludes that: (1) without productive soil life on earth, as we know it, would be impossible; (2) although it is almost impossible to assess the real value of all goods and services produced by the soil, it is of great importance to develop appropriate methodologies to do so, in order to improve cost-benefit analysis helping to take correct decisions regarding the sustainable use of the soil.

A Soft Computing Approach to Acute Coronary Syndrome

Acute Coronary Syndrome (ACS) is transversal to a broad and heterogeneous set of human beings, and assumed as a serious diagnosis and risk stratification problem. Although one may be faced with or had at his disposition different tools as biomarkers for the diagnosis and prognosis of ACS, they have to be previously evaluated and validated in different scenarios and patient cohorts. Besides ensuring that a diagnosis is correct, attention should also be directed to ensure that therapies are either correctly or safely applied. Indeed, this work will focus on the development of a diagnosis decision support system in terms of its knowledge representation and reasoning mechanisms, given here in terms of a formal framework based on Logic Programming, complemented with a problem solving methodology to computing anchored on Artificial Neural Networks. On the one hand it caters for the evaluation of ACS predisposing risk and the respective Degree-of-Confidence that one has on such a happening. On the other hand it may be seen as a major development on the Multi-Value Logics to understand things and ones behavior. Undeniably, the proposed model allows for an improvement of the diagnosis process, classifying properly the patients that presented the pathology (sensitivity ranging from 89.7% to 90.9%) as well as classifying the absence of ACS (specificity ranging from 88.4% to 90.2%).