21,454 research outputs found

    PIN19 CLINICAL EFFECTIVENESS AND COST-EFFECTIVENESS OF A POLYMYXIN B-IMMOBILIZED HEMOPERFUSION CARTAGE FOR THE TREATMENT OF SEVERE SEPSIS: A SYSTEMIC REVIEW AND ECONOMIC EVALUATION

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    PND31 DESCRIPTIVE STUDY OF THE PHARMACOLOGICAL TREATMENTS USED IN PATIENTS WITH DEPRESSION IN PARKINSON'S DISEASE (PD)

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    PCV22 COST EFFECTIVENESS ANALYSIS OF BOSENTAN FORTHE TREATMENT OF PULMONARY ARTERIAL HYPERTENSION IN SOUTH KOREA

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    PHP12 THE PUBLIC'S PREFERENCE ON THE PRIORITIES IN HEALTH CARE

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    A User-Oriented Approach To Data Modeling: A Blueprint For Generating Financial Statements And Other Accounting-Related Documents And Reports

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    In contrast to traditional and innovative data models in the database design process, such as the Entity-Relationship (E-R) and Resource Event Agent Location (REAL) models, respectively, a user-oriented approach to the data modeling of a relational database to satisfy users’ information needs is presented.  Although relational database management systems (RDBMS) are powerful for organizing, manipulating, and retrieving data, they are inadequate if the needed data elements are not captured and included, required relationships are not identified and implemented, or incorrect relationships are identified in the data model because the needs of information users were neglected or identified incorrectly during the data modeling.  Using the case of an accounting information system (AIS) for a simple merchandising enterprise, this paper illustrates how user information needs can be met when a user-oriented approach is followed in the data modeling.  Specifically, it provides a blueprint for generating financial statements and other accounting-related documents and reports from a relational database that utilizes user perspectives

    Vector trace cells in the subiculum of the hippocampal formation

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    Successfully navigating in physical or semantic space requires a neural representation of allocentric (map-based) vectors to boundaries, objects and goals. Cognitive processes such as path-planning and imagination entail the recall of vector representations, but evidence of neuron-level memory for allocentric vectors has been lacking. Here, we describe a novel neuron type, vector trace cell (VTC), whose firing generates a new vector field when a cue is encountered and a ‘trace’ version of that field for hours after cue removal. VTCs are concentrated in subiculum, distal to CA1. Compared to non-trace cells, VTCs fire at further distances from cues and exhibit earlier-going shifts in preferred theta phase in response to newly introduced cues, which demonstrates a theta-linked neural substrate for memory encoding. VTCs suggest a vector-based model of computing spatial relationships between an agent and multiple spatial objects, or between different objects, freed from the constraints of direct perception of those objects

    Investigating the effect of thermal gradients on stress in solid oxide fuel cell anodes using combined synchrotron radiation and thermal imaging

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    Thermal gradients can arise within solid oxide fuel cells (SOFCs) due to start-up and shut-down, non-uniform gas distribution, fast cycling and operation under internal reforming conditions. Here, the effects of operationally relevant thermal gradients on Ni/YSZ SOFC anode half cells are investigated using combined synchrotron X-ray diffraction and thermal imaging. The combination of these techniques has identified significant deviation from linear thermal expansion behaviour in a sample exposed to a one dimensional thermal gradient. Stress gradients are identified along isothermal regions due to the presence of a proximate thermal gradient, with tensile stress deviations of up to 75Â MPa being observed across the sample at a constant temperature. Significant strain is also observed due to the presence of thermal gradients when compared to work carried out at isothermal conditions

    Psych verbs, the linking problem, and the acquisition of language

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    In acquiring language, children must learn to appropriately place the different participants of an event (e.g., causal agent, affected entity) into the correct syntactic positions (e.g., subject, object) so that listeners will know who did what to whom. While many of these mappings can be characterized by broad generalizations, both within and across languages (e.g., semantic agents tend to be mapped onto syntactic subjects), not all verbs fit neatly into these generalizations. One particularly striking example is verbs of psychological state: The experiencer of the state can appear as either the subject (Agnes fears/hates/loves Bartholomew) or the direct object (Agnes frightens/angers/delights Bartholomew). The present studies explore whether this apparent variability in subject/object mapping may actually result from differences in these verbs’ underlying meanings. Specifically, we suggest that verbs like fear describe a habitual attitude towards some entity whereas verbs like frighten describe an externally caused emotional episode. We find that this distinction systematically characterizes verbs in English, Mandarin, and Korean. This pattern is generalized to novel verbs by adults in English, Japanese, and Russian, and even by English-speaking children who are just beginning to acquire psych verbs. This results support a broad role for systematic mappings between semantics and syntax in language acquisition

    A modeling investigation of canopy-air oxygen isotopic exchange of water vapor and carbon dioxide in a soybean field

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    The oxygen isotopes of CO2 and H2O ( 18O-CO2 and 18O-H2O) provide unique information regarding the contribution of terrestrial vegetation to the global CO2 and H2O cycles. In this paper, a simple isotopic land surface model was used to investigate processes controlling the isotopic exchange of 18O-H2O and 18O-CO2 between a soybean ecosystem and the atmosphere. We included in a standard land surface model a nonsteady state theory of leaf water isotopic composition, a canopy kinetic fractionation factor, and a big-leaf parameterization of the 18O-CO2 isoforcing on the atmosphere. Our model simulations showed that the Pclet effect was less important than the nonsteady state effect on the temporal dynamics of the water isotopic exchange. The model reproduced the highly significant and negative correlation between relative humidity and the ecosystem-scale 18O-CO2 isoforcing measured with eddy covariance. But the model-predicted isoforcing was biased high in comparison to the observations. Model sensitivity analysis suggested that the CO2 hydration efficiency must have been much lower in the leaves of soybean in field conditions than previously reported. Understanding environmental controls on the hydration efficiency and the scaling from the leaf to the canopy represents an area in need of more research. Copyright 2010 by the American Geophysical Union
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