the associations of a large collection of social and environmental factors with the health of particular individuals. Instead of relying on surveys, we apply scalable machine learning techniques to noisy data mined from online social media and infer the health state of any given person in an automated way. We show

are quick, shallow, and lonely as well as hopeful, energetic, and sociable. (Ayers, 2000, pp. 11-12) Current estimates predict that individuals with visual impairments (that is, those who are blind or have low vision) are much less likely to use computers than are sighted individuals. The U.S. Bureau

structural as well as narrative elements ('stories', as she calls them). Epistemology: Learning with Models Models are vehicles for learning about the world. Significant parts of scientific investigation are carried out on models rather than on reality itself because by studying a model we can

This report focuses on the evidence about the health.consequences of smoking for women, and is intended to serve.the public health and medical communities as 'a unified source of existing scientific research. The major issues about tobacco use and women's health are examined, including trends in consumption, biomedical evidence, and determinants of smoking ititiation, maintenance, and cessation. The biomedical aspects ofsmoking are presented in terms of mortality, morbiplity, cardiovasculaidiseases, cancer, pregnancy and infant,health,, Teptic ulcer disease, drug reactions and, interactions, food constituents, and responses to,diagnostic tests. The psychosocial and behavioraj. aspects, of smoking in women are discussed, along with the docffiented increases in- the risk of contracting lung cancer, heart,disease, or lung disease. The harmful effects of pregnant mothers smoking behaviors, are also docudented. Adhitionally, recent data are enumerated to indicate a trend of,decreasing tobacco usage among women in response to the warnings of the gavernMent, voluntary agencie, and physicrins. (Author /NRB)' DOCUMENT RESUME cc 015 465

n Robots (and roboticists) increasingly appear

-by-step fashion and then used to predict the system perfor-mance under various workload and configuration scenar-ios. After the case study, we present a set of generic per-formance modeling patterns that can be used as build-ing blocks when modeling message-oriented event-driven systems. The results demonstrate

The principle aim of this dissertation is to investigate the philosophical application of quantum information theory to interpretational issues regarding the theory of quantum mechanics. Recently, quantum information theory has emerged as a potential source for such an interpretation. The main question with which this dissertation will be concerned is whether or not an information-theoretic interpretation can serve as a conceptually acceptable interpretation of quantum mechanics. It will be argued that some of the more obvious approaches – that quantum information theory shows us that ultimately the world is made of information, and quantum Bayesianism – fail as philosophical interpretations of quantum mechanics. However, the information-theoretic approach of Clifton, Bub, and Halvorson introduces Einstein’s distinction between principle theories and constructive theories, arguing that quantum mechanics is best understood as an information-theoretic principle theory. While I argue that this particular approach fails, it does offer a viable new philosophical role for information theory. Specifically, an investigation of interpretationally successful principle theories such as Newtonian mechanics, special relativity, and general

It is interesting to note that as practical limita-tions were removed, several fundamental or principal limitations were established. For instance, Carnot showed that there was a fun-damental limit to how much energy could be extracted from a heat engine. Later this result was generalized to the second law of thermo-dynamics. As a result of Einstein’s special rela-tivity theory, the existence of an upper velocity limit was found. Other examples include Kelvin’s absolute zero, Heissenberg’s uncer-tainty principle and Gödel’s incompleteness theorem in mathematics. Shannon’s Channel coding theorem, which was published in 1948, seems to be the last one of such fundamental

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