University of Arizona

About: University of Arizona is a education organization based out in Tucson, Arizona, United States. It is known for research contribution in the topics: Population & Galaxy. The organization has 63805 authors who have published 155998 publications receiving 6854915 citations. The organization is also known as: UA & U of A.

Environment-specific expression of the immediate-early gene Arc in hippocampal neuronal ensembles.

Abstract: We used fluorescent in-situ hybridization and confocal microscopy to monitor the subcellular distribution of the immediate-early gene Arc. Arc RNA appeared in discrete intranuclear foci within minutes of neuronal activation and subsequently disappeared from the nucleus and accumulated in the cytoplasm by 30 minutes. The time course of nuclear versus cytoplasmic Arc RNA accumulation was distinct, and could therefore be used to infer the activity history of individual neurons at two times. Following sequential exposure of rats to two different environments or to the same environment twice, the proportion of CA1 neurons with cytoplasmic, nuclear or overlapping Arc expression profiles matched predictions derived from ensemble neurophysiological recordings of hippocampal neuronal ensembles. Arc gene induction is thus specifically linked to neural encoding processes.

Uniform asymptotics for polynomials orthogonal with respect to varying exponential weights and applications to universality questions in random matrix theory

Abstract: We consider asymptotics for orthogonal polynomials with respect to varying exponential weights wn(x)dx = e−nV(x)dx on the line as n ∞. The potentials V are assumed to be real analytic, with sufficient growth at infinity. The principle results concern Plancherel-Rotach-type asymptotics for the orthogonal polynomials down to the axis. Using these asymptotics, we then prove universality for a variety of statistical quantities arising in the theory of random matrix models, some of which have been considered recently in [31] and also in [4]. An additional application concerns the asymptotics of the recurrence coefficients and leading coefficients for the orthonormal polynomials (see also [4]). The orthogonal polynomial problem is formulated as a Riemann-Hilbert problem following [19, 20]. The Riemann-Hilbert problem is analyzed in turn using the steepest-descent method introduced in [12] and further developed in [11, 13]. A critical role in our method is played by the equilibrium measure dμV for V as analyzed in [8]. © 1999 John Wiley & Sons, Inc.

Knowledge in a Social World

Abstract: PART I: FOUNDATIONS 1. EPISTEMOLOGY AND POSTMODERN RESISTANCE 2. TRUTH 3. THE FRAMEWORK PART II: GENERIC SOCIAL PRACTICES 4. TESTIMONY 5. ARGUMENTATION 6. THE TECHNOLOGY AND ECONOMICS OF COMMUNICATION 7. SPEECH REGULATION AND THE MARKETPLACE OF IDEAS PART III: SPECIAL DOMAINS 8. SCIENCE 9. LAW 10. DEMOCRACY 11. EDUCATION BIBLIOGRAPHY INDEX.

Quantitation of Differential Sensitivity of Human-Tumor Stem Cells to Anticancer Drugs

Abstract: With a direct in vitro tumor-colony assay developed to measure sensitity of human-tumor stem cells to anticancer drugs, we performed 32 retrospective or prospective clinical studies in nine patients with myeloma and nine with ovarian cancer treated with standard agents that were tested in vitro. The results were clearly correlated (P is less than 0.00001). Unique patterns of sensitivity and resistance to the six drugs tested were observed for individual patients. In eight cases of myeloma and three of obarian carcinoma in vitro sensitivity corresponded with in vivo sensitivity whereas in one case of myeloma it did not. In vitro resistance correlated with clinical resistance in all five comparisons in myeloma and all 15 in ovarian cancer. We conclude that this assay shows sufficient promise to warrant larger-scale testing to determine its efficacy for selection of new agents and individualized cancer chemotherapy regimens.

Consumer Resistance to Innovations: The Marketing Problem and its solutions

Abstract: Considers why customers resist innovations even though they are considered necessary and desirable. Identifies functional barriers such as usage, value, and risk, and psychological barriers such as tradition and image. Concludes that successful innovation lies not in bowing down to consumer resistance, but in understanding the causes and developing a marketing strategy to attack them.