974 resultados para purchase-decision involvement


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Report written by Iowa DOT to Auditor Office about revolving fund purchase order.

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Rapport de synthèse : Le ganglion sentinelle (GS) se défini comme le premier ganglion de la chaîne ganglionnaire qui draine le territoire anatomique où siège une tumeur et, par conséquent, celui ayant le plus de possibilités de recevoir des métastases. La combinaison des deux techniques de détection du GS existantes, lymphoscintigraphie et coloration, permettent de déceler le GS dans 95-100% des cas. Le taux d'attente métastatique du GS varie entre 16 et 21 % des patients. Dans 50 à 87% des cas, le GS est le seul site de métastase et la probabilité de trouver des micro-métastases dans des ganglions appartenant aux relais supérieurs sans atteinte du GS est estimée à moins de 2%. Ces chiffres relèvent l'importance de la détection du GS. L'emploi de cette technique offre de nombreux avantages par rapport à la lymphadénéctomie élective que nous décrirons. Selon Rousseau et al., il existe une probable association entre le statut du GS et la survie de la maladie. Cette interprétation et celles d'autres auteurs soulignent la pertinence clinique du statut du GS dans le mélanome. En ce qui concerne la survie sans maladie (DFS) et la survie globale (OS), aucune différence significative n'a été observée entre les patients ayant subi une résection complète immédiate des ganglions lymphatiques et ceux qui d'abord ont subi une résection chirurgicale et analyse du GS secondaire, suivies par une dissection élective en cas de positivité. L'objectif de cette étude prospective était d'évaluer la pertinence de la positivité tumorale du GS dans l'évaluation des risques de rechute du mélanome. Cette étude a confirmé l'intérêt de la scintigraphie des ganglions lymphatiques (associée à la technique de coloration par bleu et celle de détection par sonde portable) dans l'identification du GS comme approche thérapeutique au stade précoce du mélanome. Elle a montré, en autre, que le statut du GS et l'indice de Breslow sont des facteurs de risque indépendants importants de rechute chez des patients atteints d'un mélanome au stade précoce. La combinaison de ces deux paramètres a permis de créer des groupes de patients à risque de rechute différents qui pourraient conduire à l'adaptation des protocoles de thérapie en fonction de ces risques.

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A central feature of drugs of abuse is to induce gene expression in discrete brain structures that are critically involved in behavioral responses related to addictive processes. Although extracellular signal-regulated kinase (ERK) has been implicated in several neurobiological processes, including neuronal plasticity, its role in drug addiction remains poorly understood. This study was designed to analyze the activation of ERK by cocaine, its involvement in cocaine-induced early and long-term behavioral effects, as well as in gene expression. We show, by immunocytochemistry, that acute cocaine administration activates ERK throughout the striatum, rapidly but transiently. This activation was blocked when SCH 23390 [a specific dopamine (DA)-D1 antagonist] but not raclopride (a DA-D2 antagonist) was injected before cocaine. Glutamate receptors of NMDA subtypes also participated in ERK activation, as shown after injection of the NMDA receptor antagonist MK 801. The systemic injection of SL327, a selective inhibitor of the ERK kinase MEK, before cocaine, abolished the cocaine-induced ERK activation and decreased cocaine-induced hyperlocomotion, indicating a role of this pathway in events underlying early behavioral responses. Moreover, the rewarding effects of cocaine were abolished by SL327 in the place-conditioning paradigm. Because SL327 antagonized cocaine-induced c-fos expression and Elk-1 hyperphosphorylation, we suggest that the ERK intracellular signaling cascade is also involved in the prime burst of gene expression underlying long-term behavioral changes induced by cocaine. Altogether, these results reveal a new mechanism to explain behavioral responses of cocaine related to its addictive properties.

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A large proportion of the death toll associated with malaria is a consequence of malaria infection during pregnancy, causing up to 200,000 infant deaths annually. We previously published the first extensive genetic association study of placental malaria infection, and here we extend this analysis considerably, investigating genetic variation in over 9,000 SNPs in more than 1,000 genes involved in immunity and inflammation for their involvement in susceptibility to placental malaria infection. We applied a new approach incorporating results from both single gene analysis as well as gene-gene interactionson a protein-protein interaction network. We found suggestive associations of variants in the gene KLRK1 in the single geneanalysis, as well as evidence for associations of multiple members of the IL-7/IL-7R signalling cascade in the combined analysis. To our knowledge, this is the first large-scale genetic study on placental malaria infection to date, opening the door for follow-up studies trying to elucidate the genetic basis of this neglected form of malaria.

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Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characterize cancer, but validating their results can be a laborious task. Computational approaches are used to prioritize between genes putatively involved in cancer, usually based on further analyzing experimental data. Results: We implemented a systematic method using the PIANA software that predicts cancer involvement of genes by integrating heterogeneous datasets. Specifically, we produced lists of genes likely to be involved in cancer by relying on: (i) protein-protein interactions; (ii) differential expression data; and (iii) structural and functional properties of cancer genes. The integrative approach that combines multiple sources of data obtained positive predictive values ranging from 23% (on a list of 811 genes) to 73% (on a list of 22 genes), outperforming the use of any of the data sources alone. We analyze a list of 20 cancer gene predictions, finding that most of them have been recently linked to cancer in literature. Conclusion: Our approach to identifying and prioritizing candidate cancer genes can be used to produce lists of genes likely to be involved in cancer. Our results suggest that differential expression studies yielding high numbers of candidate cancer genes can be filtered using protein interaction networks.

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Recently, there has been an increased interest on the neural mechanisms underlying perceptual decision making. However, the effect of neuronal adaptation in this context has not yet been studied. We begin our study by investigating how adaptation can bias perceptual decisions. We considered behavioral data from an experiment on high-level adaptation-related aftereffects in a perceptual decision task with ambiguous stimuli on humans. To understand the driving force behind the perceptual decision process, a biologically inspired cortical network model was used. Two theoretical scenarios arose for explaining the perceptual switch from the category of the adaptor stimulus to the opposite, nonadapted one. One is noise-driven transition due to the probabilistic spike times of neurons and the other is adaptation-driven transition due to afterhyperpolarization currents. With increasing levels of neural adaptation, the system shifts from a noise-driven to an adaptation-driven modus. The behavioral results show that the underlying model is not just a bistable model, as usual in the decision-making modeling literature, but that neuronal adaptation is high and therefore the working point of the model is in the oscillatory regime. Using the same model parameters, we studied the effect of neural adaptation in a perceptual decision-making task where the same ambiguous stimulus was presented with and without a preceding adaptor stimulus. We find that for different levels of sensory evidence favoring one of the two interpretations of the ambiguous stimulus, higher levels of neural adaptation lead to quicker decisions contributing to a speed–accuracy trade off.

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Winter maintenance, particularly snow removal and the stress of snow removal materials on public structures, is an enormous budgetary burden on municipalities and nongovernmental maintenance organizations in cold climates. Lately, geospatial technologies such as remote sensing, geographic information systems (GIS), and decision support tools are roviding a valuable tool for planning snow removal operations. A few researchers recently used geospatial technologies to develop winter maintenance tools. However, most of these winter maintenance tools, while having the potential to address some of these information needs, are not typically placed in the hands of planners and other interested stakeholders. Most tools are not constructed with a nontechnical user in mind and lack an easyto-use, easily understood interface. A major goal of this project was to implement a web-based Winter Maintenance Decision Support System (WMDSS) that enhances the capacity of stakeholders (city/county planners, resource managers, transportation personnel, citizens, and policy makers) to evaluate different procedures for managing snow removal assets optimally. This was accomplished by integrating geospatial analytical techniques (GIS and remote sensing), the existing snow removal asset management system, and webbased spatial decision support systems. The web-based system was implemented using the ESRI ArcIMS ActiveX Connector and related web technologies, such as Active Server Pages, JavaScript, HTML, and XML. The expert knowledge on snow removal procedures is gathered and integrated into the system in the form of encoded business rules using Visual Rule Studio. The system developed not only manages the resources but also provides expert advice to assist complex decision making, such as routing, optimal resource allocation, and monitoring live weather information. This system was developed in collaboration with Black Hawk County, IA, the city of Columbia, MO, and the Iowa Department of transportation. This product was also demonstrated for these agencies to improve the usability and applicability of the system.

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PURPOSE: To determine and compare the diagnostic performance of magnetic resonance imaging (MRI) and computed tomography (CT) for the diagnosis of tumor extent in advanced retinoblastoma, using histopathologic analysis as the reference standard. DESIGN: Systematic review and meta-analysis. PARTICIPANTS: Patients with advanced retinoblastoma who underwent MRI, CT, or both for the detection of tumor extent from published diagnostic accuracy studies. METHODS: Medline and Embase were searched for literature published through April 2013 assessing the diagnostic performance of MRI, CT, or both in detecting intraorbital and extraorbital tumor extension of retinoblastoma. Diagnostic accuracy data were extracted from included studies. Summary estimates were based on a random effects model. Intrastudy and interstudy heterogeneity were analyzed. MAIN OUTCOME MEASURES: Sensitivity and specificity of MRI and CT in detecting tumor extent. RESULTS: Data of the following tumor-extent parameters were extracted: anterior eye segment involvement and ciliary body, optic nerve, choroidal, and (extra)scleral invasion. Articles on MRI reported results of 591 eyes from 14 studies, and articles on CT yielded 257 eyes from 4 studies. The summary estimates with their 95% confidence intervals (CIs) of the diagnostic accuracy of conventional MRI at detecting postlaminar optic nerve, choroidal, and scleral invasion showed sensitivities of 59% (95% CI, 37%-78%), 74% (95% CI, 52%-88%), and 88% (95% CI, 20%-100%), respectively, and specificities of 94% (95% CI, 84%-98%), 72% (95% CI, 31%-94%), and 99% (95% CI, 86%-100%), respectively. Magnetic resonance imaging with a high (versus a low) image quality showed higher diagnostic accuracies for detection of prelaminar optic nerve and choroidal invasion, but these differences were not statistically significant. Studies reporting the diagnostic accuracy of CT did not provide enough data to perform any meta-analyses. CONCLUSIONS: Magnetic resonance imaging is an important diagnostic tool for the detection of local tumor extent in advanced retinoblastoma, although its diagnostic accuracy shows room for improvement, especially with regard to sensitivity. With only a few-mostly old-studies, there is very little evidence on the diagnostic accuracy of CT, and generally these studies show low diagnostic accuracy. Future studies assessing the role of MRI in clinical decision making in terms of prognostic value for advanced retinoblastoma are needed.

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How does fathering change across children’s developmental stages and how do these changes vary by educational levels and women’s employment? To investigate this, I use the „2003 Spanish Time Use Survey‟ (N = 2,941) for a sample of heterosexual couples with children of different ages. I differentiate between physical (i.e. feeding, supervising, putting children to bed) and interactive child care activities (i.e. speaking to, playing with, teaching the child). Fathers‟ education strongly influences how much fathers participate in physical care in families with preschoolers, a stage in which these activities are particularly important for children’s physical, social, and emotional development. For interactive care, a significant education gradient emerges when the youngest child is aged 3 to 5, when the acquisition of complex linguistic, conceptual, and social skills is critical for later school success. Mother’s employment significantly influences father’s physical child care with preschoolers. This suggests that empowering Spanish women to participate in the labor market promotes gender equity in the household division of child care.

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Report written by Iowa DOT to Auditor Office about revolving fund purchase order.

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This 12 page document outlines the regulations for deer hunting in Iowa.

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This 12 page document outlines the regulations for deer hunting in Iowa.

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Over the last decade, diagnostic options and introduction of novel treatments have expanded the armamentarium in the management of malignant glioma. Combined chemoradiotherapy has become the standard of care in glioblastoma up to the age of 70 years, while treatment in elderly patients or with lower grade glioma is less well defined. Molecular markers define different disease subtypes and allow for adapted treatment selection. This review focuses on simple questions arising in the daily management of patients.

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In this study, the influence of paternal involvement in caregiving on infant sociability was assessed using a strange situation paradigm adapted from the work of Ainsworth, Blehar, Waters, and Wall (1978). Thirty-seven families participated with their firstborn child (aged 12-14 months). According to the questionnaire, 20 nontraditional fathers were very involved in caretaking, and 17 fathers were less or not at all involved. Infant sociability was assessed using three of Ainsworth et al.'s rating scales: proximity or contact-seeking, avoidance, and distance interaction. Results indicated that infants of nontraditional fathers were globally more sociable with all their partners (father, mother, and stranger) than infants of traditional fathers. Furthermore, results suggested that it was not only the father-infant relationship or infant development which were affected by the amount of paternal involvement in daily caretaking but the family system as a whole. Indeed, infants from nontraditional families appeared to interact equally with their fathers and mothers in direct interaction. In addition, these infants interacted at a distance with a stranger as much in the presence of their fathers as in the presence of their mothers, thereby suggesting that both parents represented an equally secure base.