3 resultados para Interaction Man-Computer

em DigitalCommons@The Texas Medical Center


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People often use tools to search for information. In order to improve the quality of an information search, it is important to understand how internal information, which is stored in user’s mind, and external information, represented by the interface of tools interact with each other. How information is distributed between internal and external representations significantly affects information search performance. However, few studies have examined the relationship between types of interface and types of search task in the context of information search. For a distributed information search task, how data are distributed, represented, and formatted significantly affects the user search performance in terms of response time and accuracy. Guided by UFuRT (User, Function, Representation, Task), a human-centered process, I propose a search model, task taxonomy. The model defines its relationship with other existing information models. The taxonomy clarifies the legitimate operations for each type of search task of relation data. Based on the model and taxonomy, I have also developed prototypes of interface for the search tasks of relational data. These prototypes were used for experiments. The experiments described in this study are of a within-subject design with a sample of 24 participants recruited from the graduate schools located in the Texas Medical Center. Participants performed one-dimensional nominal search tasks over nominal, ordinal, and ratio displays, and searched one-dimensional nominal, ordinal, interval, and ratio tasks over table and graph displays. Participants also performed the same task and display combination for twodimensional searches. Distributed cognition theory has been adopted as a theoretical framework for analyzing and predicting the search performance of relational data. It has been shown that the representation dimensions and data scales, as well as the search task types, are main factors in determining search efficiency and effectiveness. In particular, the more external representations used, the better search task performance, and the results suggest the ideal search performance occurs when the question type and corresponding data scale representation match. The implications of the study lie in contributing to the effective design of search interface for relational data, especially laboratory results, which are often used in healthcare activities.

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The association between increases in cerebral glucose metabolism and the development of acidosis is largely inferential, based on reports linking hyperglycemia with poor neurological outcome, lactate accumulation, and the severity of acidosis. We measured local cerebral metabolic rate for glucose (lCMRglc) and an index of brain pH--the acid-base index (ABI)--concurrently and characterized their interaction in a model of focal cerebral ischemia in rats in a double-label autoradiographic study, using ($\sp{14}$C) 2-deoxyglucose and ($\sp{14}$C) dimethyloxazolidinedione. Computer-assisted digitization and analysis permitted the simultaneous quantification of the two variables on a pixel-by-pixel basis in the same brain slices. Hemispheres ipsilateral to tamponade-induced middle cerebral occlusion showed areas of normal, depressed and elevated glucose metabolic rate (as defined by an interhemispheric asymmetry index) after two hours of ischemia. Regions of normal glucose metabolic rate showed normal ABI (pH $\pm$ SD = 6.97 $\pm$ 0.09), regions of depressed lCMRglc showed severe acidosis (6.69 $\pm$ 0.14), and regions of elevated lCMRglc showed moderate acidosis (6.88 $\pm$ 0.10), all significantly different at the.00125 level as shown by analysis of variance. Moderate acidosis in regions of increased lCMRglc suggests that anaerobic glycolysis causes excess protons to be generated by the uncoupling of ATP synthesis and hydrolysis. ^

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The purpose of this work was to examine the possible mechanisms for the regulation of cytochrome c gene expression in response to increased contractile activity in rat skeletal muscle. The working hypothesis was that increased contractile activity enhances cytochrome c gene expression through a cis-element. A 110% increase in cytochrome c mRNA concentration was observed in tibialis anterior (TA) muscle after 9 days of chronic stimulation. Similar difference (120%) exists between soleus (SO) muscle of higher contractile activity and white vastus lateralis (WV) muscle of lower contractile activity. These results suggest that the endogenous cytochrome c gene expression is regulated by contractile activity. Cytochrome c-reporter genes were injected into skeletal muscles to identify the cis-element that is responsible for the regulation. Although the data was inconclusive, part of it suggested the importance of the 3$\sp\prime$-untranslated region (3$\sp\prime$-UTR) in mediating the response to increased contractile activity.^ RNA gel mobility shift (GMSA) and ultraviolet (UV) cross-linking assays revealed specific RNA-protein interaction in a 50-nucleotide region of the 3$\sp\prime$-UTR in unstimulated TA muscle. Computer analysis predicted a stem-loop structure of 17 nucleotides, which provides a structural basis for RNA-protein interaction. These 17 nucleotides are 100% conserved among rat, mouse and human cytochrome c genes and their 13 pseudogenes, suggesting a functional role for this region. The RNA-protein interaction was significantly less in highly active SO muscle than in inactive WV muscle and was dramatically decreased in stimulated TA muscle due to a protein inhibitor(s) associated with ribosome. It is possible that cytochrome c mRNAs undergoing translation are subject to a compartmentalized regulatory influence.^ The conclusion from these results is that increases in contractile activity induce or activate a protein inhibitor(s) associated with ribosome in rat skeletal muscle. The inhibitor decreases RNA-protein interaction in the 3$\sp\prime$-UTR of cytochrome c mRNA, which may result in increased mRNA stability and/or translation. ^