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Dive into the research topics where D. Melessa Phillips is active.

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Archive | 1999

Principles and Applications

Robert B. Taylor; Alan K. David; Thomas A. Johnson; D. Melessa Phillips; Joseph E. Scherger

ion In computer science, abstraction means hiding information. In CSS, abstracting from the world “reality”—whether directly experienced (observing a riot downtown) or indirectly learning about it (reading history)—is a process involving stimulus signals, perceptions, interpretation, and cognition. CSS relies on several sources for abstracting key entities, ideas, and processes from raw stimulus signals from the real world. These sources span a hierarchy in terms of their social scientific status. At the very top of the hierarchy are social theories with demonstrable validity 10A little-known fact among many social scientists is that the theory of mechanics in physics is built around the abstraction of singleand two-body problems. Already three-body problems are hugely difficult by comparison; and, most interesting, N -body problems defy mathematical solution in closed form. 11Interestingly, humanistic fields such as music and ballet also use systems of specialized notation, far beyond what is used in traditional social science. In music, Guido d’Arezzo [b. A.D. 991 (or 992), d. 1050] is considered the founder of the modern music staff; in ballet, Rudolf von Laban [b. 1879, d. 1958] invented the symbolic system known as “labanotation” (Morasso and Tagliasco 1986). 2.7 Abstraction, Representation, and Notation 37 in terms of formal structure (internal validity) and empirical observation (external validity). Not all existing social theories meet these stringent requirements, although an increasing number of them do as research progresses. Examples of social theories that meet internal and external validity standards include Heider’s Theory of Cognitive Balance in psychology, Ricardo’s Theory of Comparative Advantage in economics, and Downs’s Median Voter Theory in political science, among others. Social theories are abstractions that point to relevant social entities, variables, and dynamics that matter in understanding and explaining social phenomena. A second source of abstraction consists of social laws. Examples of social laws include the Weber-Fechner Law in psychometrics, the Pareto Law in economics, and Duverger’s Law in political science. Theories explain; laws describe (Stephen Toulmin 1967).12 Some of the most scientifically usefully social laws can be stated mathematically, as in these examples. Social laws also contain relevant entities, variables, and functional relations for describing social phenomena. A third source of abstraction consists of observations that can range from formal (e.g., ethnography, content analysis, automated information extraction, text mining, among others) to informal (historical narratives, media, and other sources about social phenomena). Observations of social phenomena can describe actors, their beliefs, social relations, and other features ranging from individual to collective. Finally, a fourth source of abstraction consists of computational algorithms capable of emulating social phenomena, as in artificial intelligence (AI). Artificial (i.e., not really human) algorithms do not claim to be causal in the same sense as social theories. They “work,” but without causal claims in the same sense as social theories. They are efficient, in the sense that they (sometimes) can closely replicate social phenomena. AI algorithms are typically (and intentionally) efficient and preferably simple; extreme parsimony in this case comes at the expense of realism. Examples of AI algorithms include Heatbugs (Swarm, NetLogo, MASON), Boids (Reynolds 1987), and Conway’s (1970) Game of Life. In spite of their lack of social realism, AI algorithms can be useful sources for abstracting social entities, ideas, or processes because they can highlight features that either elude theories or are hard to observe. An example would be the agglomeration patterns generated in a Heatbugs model, as a function of varying parameters of “social” interaction among the set of agents, or the role of apparent “leadership” in a flock of boids.


Archive | 2006

Taylor's Musculoskeletal Problems and Injuries A Handbook

Robert B. Taylor; Alan K. David; Scott A. Fields; D. Melessa Phillips; Joseph E. Scherger

A solution to get the problem off, have you found it? Really? What kind of solution do you resolve the problem? From what sources? Well, there are so many questions that we utter every day. No matter how you will get the solution, it will mean better. You can take the reference from some books. And the taylors musculoskeletal problems and injuries a handbook is one book that we really recommend you to read, to get more solutions in solving this problem.


Archive | 2005

Taylor’s Diagnostic and Therapeutic Challenges

Robert B. Taylor; Alan K. David; Scott A. Fields; D. Melessa Phillips; Joseph E. Scherger


Archive | 1999

Injuries and Poisoning

Robert B. Taylor; Alan K. David; Thomas A. Johnson; D. Melessa Phillips; Joseph E. Scherger


Archive | 2005

Taylor’s Cardiovascular Diseases

Robert B. Taylor; Alan K. David; D. Melessa Phillips; Scott A. Fields; Joseph E. Scherger


Archive | 1999

Pregnancy, Childbirth, and Postpartum Care

Robert B. Taylor; Alan K. David; Thomas A. Johnson; D. Melessa Phillips; Joseph E. Scherger


Archive | 1999

Common Clinical Problems

Robert B. Taylor; Alan K. David; Thomas A. Johnson; D. Melessa Phillips; Joseph E. Scherger


Archive | 1999

The Blood and Hematopoietic System

Robert B. Taylor; Alan K. David; Thomas A. Johnson; D. Melessa Phillips; Joseph E. Scherger


Archive | 1999

Behavioral and Psychiatric Problems

Robert B. Taylor; Alan K. David; Thomas A. Johnson; D. Melessa Phillips; Joseph E. Scherger


Archive | 1999

Taylor's family medicine review

Robert B. Taylor; Alan K. David; Thomas A. Johnson; D. Melessa Phillips; Joseph E. Scherger

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Alan K. David

University of Cincinnati Academic Health Center

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