3,795 research outputs found
Resource allocation, health mobility and adaptation to illness
The increased availability of panel data has made it possible to estimate and measure health mobility for population subgroups who may have systematically different levels of mobility. The objective of this paper is to stimulate discussion on what estimated differences across subgroups may mean for resource allocation. We use a straightforward hypothetical example to investigate the implications of different levels of health mobility on health outcomes, considering in addition the effects of adaptation to illness over time. We also discuss some of the ethical and political implications of health mobility
The impact of gender on the use of metaphors in media reports covering the 2003 Gulf War in Iraq
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.Title from title screen of research.pdf file (viewed on August 23, 2007)Includes bibliographical references.Thesis (M.A.) University of Missouri-Columbia 2006.Dissertations, Academic -- University of Missouri--Columbia -- Journalism.This study investigates whether gender of the reporter or the source has an impact on the metaphors that are used in media reports on the 2003 war in Iraq. War metaphors previously exposed by other research are explored and analyzed, and a search for newly emerging metaphors was conducted to discover if women's increased presence in the media and the military is impacting the language of the reports of war in the media
Coz: Finding Code that Counts with Causal Profiling
Improving performance is a central concern for software developers. To locate
optimization opportunities, developers rely on software profilers. However,
these profilers only report where programs spent their time: optimizing that
code may have no impact on performance. Past profilers thus both waste
developer time and make it difficult for them to uncover significant
optimization opportunities.
This paper introduces causal profiling. Unlike past profiling approaches,
causal profiling indicates exactly where programmers should focus their
optimization efforts, and quantifies their potential impact. Causal profiling
works by running performance experiments during program execution. Each
experiment calculates the impact of any potential optimization by virtually
speeding up code: inserting pauses that slow down all other code running
concurrently. The key insight is that this slowdown has the same relative
effect as running that line faster, thus "virtually" speeding it up.
We present Coz, a causal profiler, which we evaluate on a range of
highly-tuned applications: Memcached, SQLite, and the PARSEC benchmark suite.
Coz identifies previously unknown optimization opportunities that are both
significant and targeted. Guided by Coz, we improve the performance of
Memcached by 9%, SQLite by 25%, and accelerate six PARSEC applications by as
much as 68%; in most cases, these optimizations involve modifying under 10
lines of code.Comment: Published at SOSP 2015 (Best Paper Award
And Then Suddenly Seattle University Was On Its Way To A Parallel, Integrative Curriculum
This is a story of change so sudden that it surprised even those who most fervently sought it. For nearly a decade, Seattle University School of Law has offered an extensive typical skills curriculum. All students are involved in an intensive two year writing program. The simulated Comprehensive Pretrial and Trial Advocacy Program trains over 150 students a year, while in the Law Practice Clinic, 60 students a year represent domestic and criminal clients. Course offerings that fill out the lawyering skills supports are offerings such as ADR, Negotiations, and Appellate Advocacy, along with judicial and public service externships and an array of student competitions. All was well done, well-conceived, staple clinical fare. Then something happened. These programs remain, but woven throughout the course offerings is what we call a Parallel, Integrative Curriculum: One-credit live-client and simulated course components running parallel to related upper-level substantive courses. This article is about that curriculum and, as importantly, how it came into being
Inflated Responses in Measures of Self-Assessed Health
This paper focuses on the self-reported responses given to survey questions of the form In general how would you rate your health? with typical response items being on a scale ranging from poor to excellent. Usually, the overwhelming majority of responses fall in either the middle category or the one immediately to the "right" of this (in the above example, good and very good). However, based on a wide range of other medical indicators, such favourable responses appear to paint an overly rosy picture of true health. The hypothesis here is that these "middle" responses have been, in some sense, inflated. That is, for whatever reason, a significant number of responders inaccurately report into these categories. We find a significant amount of inflation into these categories. Adjusted responses to these questions could lead to significant changes in policy, and should be reflected upon when analysing and interpreting these scales
Heterogeneity in ordered choice models: A review with applications to self-assessed health
Discrete variables that have an inherent sense of ordering across outcomes are commonly found in large datasets available to many economists, and are often the focus of research. However, assumptions underlying the standard Ordered Probit (which is usually used to analyse such variables) are not always justied by the data. This study provides a review of the ways in which the Ordered Probit might be extended to account for additional heterogeneity. Diering from other reviews in scope, application and relevance in economic settings, a series of issues pertaining to choices of variables, and the economic assumptions underlying each model are discussed in the context of measuring the underlying health of respondents. The models are applied to a wave of the Household, Income and Labour Dynamics in Australia survey, in order to check the appropriateness of such assumptions in an applied context
A latent class model for obesity
We extend the discrete data latent class literature by explicitly defining a latent variable for class membership as a function of both observables and unobservables, thereby allowing the equations defining the class membership and observed outcomes to be correlated. The procedure is then applied to modelling observed obesity outcomes, based upon an underlying ordered probit equation
Phospholipase A 2 Modulates Different Subtypes of Excitatory Amino Acid Receptors: Autoradiographic Evidence
Exogenous phospholipases have been used extensively as tools to study the role of membrane lipids in receptor mechanisms. We used in vitro quantitative autoradiography to evaluate the effect of phospholipase A 2 (PLA 2 ) on N -methyl-D-aspartate (NMDA) and non-NMDA glutamate receptors in rat brain. PLA 2 pretreatment induced a significant increase in Α-[ 3 H]amino-3-hydroxy-5-methylisoxazole-4-propionate ([ 3 H]AMPA) binding in the stratum radiatum of the CA1 region of the hippocampus and in the stratum moleculare of the cerebellum. No modification of [ 3 H]AMPA binding was found in the stratum pyramidale of the hippocampus at different ligand concentrations. [ 3 H]-Glutamate binding to the metabotropic glutamate receptor and the non-NMDA-, non-kainate-, non-quisqualate-sensitive [ 3 H]glutamate binding site were also increased by PLA 2 pretreatment. [ 3 H]Kainate binding and NMDA-sensitive [ 3 H]glutamate binding were minimally affected by the enzyme pretreatment. The PLA 2 effect was reversed by EGTA, the PLA 2 inhibitor p -bromophenacyl bromide, and prolonged pretreatment with heat. Bovine serum albumin (1%) prevented the increase in metabotropic binding by PLA 2 . Arachidonic acid failed to mimic the PLA 2 effect on metabotropic binding. These results indicate that PLA 2 can selectively modulate certain subtypes of excitatory amino acid receptors. This effect is due to the enzymatic activity but is probably not correlated with the formation of arachidonic acid metabolites. Independent of their possible physiological implications, our results provide the first autoradiographic evidence that an enzymatic treatment can selectively affect the binding properties of excitatory amino acid receptors in different regions of the CNS.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/66358/1/j.1471-4159.1993.tb05843.x.pd
Modelling the distribution and transmission intensity of lymphatic filariasis in sub-Saharan Africa prior to scaling up interventions: Integrated use of geostatistical and mathematical modelling
Barbiturate and picrotoxin-sensitive chloride efflux in rat cerebral cortical synaptoneurosomes
AbstractThe effects of various barbiturates and picrotoxin in modifying the efflux of chloride (36Cl−) was studied in a novel subcellular preparation from rat cerebral cortex, the ‘synaptoneurosome’. Dilution of synaptoneurosomes pre-loaded with 36Cl− resulted in rapid efflux of 36Cl− that could be measured as early as 10 s following dilution. In the presence of barbiturates such as pentobarbital and hexobarbital there was a significant increase in 36Cl− efflux which was not observed with the pharmacologically-inactive barbiturate, barbital. The effect of barbiturates in enhancing 36Cl− efflux was also stereospecific [(−)-DMBB > (+)-DMBB] and reversed by picrotoxin. By contrast, picrotoxin alone significantly inhibited 36Cl− efflux. These data demonstrate pharmacologically relevant Cl− transport for the first time in a subcellular brain preparation
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