871 resultados para Vehicle Interior Controls and Handles.
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Background Serotonin is under-researched in attention deficit hyperactivity disorder (ADHD), despite accumulating evidence for its involvement in impulsiveness and the disorder. Serotonin further modulates temporal discounting (TD), which is typically abnormal in ADHD relative to healthy subjects, underpinned by reduced fronto-striato-limbic activation. This study tested whether a single acute dose of the selective serotonin reuptake inhibitor (SSRI) fluoxetine up-regulates and normalizes reduced fronto-striato-limbic neurofunctional activation in ADHD during TD. Method Twelve boys with ADHD were scanned twice in a placebo-controlled randomized design under either fluoxetine (between 8 and 15 mg, titrated to weight) or placebo while performing an individually adjusted functional magnetic resonance imaging TD task. Twenty healthy controls were scanned once. Brain activation was compared in patients under either drug condition and compared to controls to test for normalization effects. Results Repeated-measures whole-brain analysis in patients revealed significant up-regulation with fluoxetine in a large cluster comprising right inferior frontal cortex, insula, premotor cortex and basal ganglia, which further correlated trend-wise with TD performance, which was impaired relative to controls under placebo, but normalized under fluoxetine. Fluoxetine further down-regulated default mode areas of posterior cingulate and precuneus. Comparisons between controls and patients under either drug condition revealed normalization with fluoxetine in right premotor-insular-parietal activation, which was reduced in patients under placebo. Conclusions The findings show that a serotonin agonist up-regulates activation in typical ADHD dysfunctional areas in right inferior frontal cortex, insula and striatum as well as down-regulating default mode network regions in the context of impulsivity and TD.
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This paper describes the methodology of providing multiprobability predictions for proteomic mass spectrometry data. The methodology is based on a newly developed machine learning framework called Venn machines. Is allows to output a valid probability interval. The methodology is designed for mass spectrometry data. For demonstrative purposes, we applied this methodology to MALDI-TOF data sets in order to predict the diagnosis of heart disease and early diagnoses of ovarian cancer and breast cancer. The experiments showed that probability intervals are narrow, that is, the output of the multiprobability predictor is similar to a single probability distribution. In addition, probability intervals produced for heart disease and ovarian cancer data were more accurate than the output of corresponding probability predictor. When Venn machines were forced to make point predictions, the accuracy of such predictions is for the most data better than the accuracy of the underlying algorithm that outputs single probability distribution of a label. Application of this methodology to MALDI-TOF data sets empirically demonstrates the validity. The accuracy of the proposed method on ovarian cancer data rises from 66.7 % 11 months in advance of the moment of diagnosis to up to 90.2 % at the moment of diagnosis. The same approach has been applied to heart disease data without time dependency, although the achieved accuracy was not as high (up to 69.9 %). The methodology allowed us to confirm mass spectrometry peaks previously identified as carrying statistically significant information for discrimination between controls and cases.
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A brief history of bovine tuberculosis (bTB) and its control in Great Britain is presented. Numerous diverse policies to control the disease in man, cattle and wildlife have been pursued over the last 100 years and many millions of pounds have been spent. After notable success in reducing the incidence and prevalence of bTB in cattle in GB from the 1950s to the mid-1980s, the number of cattle slaughtered has increased with increased geographical spread continually since that time with a high point of bTB incidence in 2008. This increase appeared to coincide with changing policy regarding the control of the disease in badgers with a more humane approach adopted and with strengthened protection for badgers through legislation. Indeed, much controversy has been involved in the debate on the role of badgers in disease transmission to cattle and the need for their control as vectors of the disease with various commissioned research projects, trials, public consultations and media attention. The findings of two social science investigations presented as examples showed that citizens generally believed that bTB in cattle is an important issue that needs to be tackled but objected to badgers being killed, whilst cattle farmers were willing to pay around £17/animal/year for a bTB cattle vaccine. It is noted that successes regarding the control of bTB in other countries have combined both cattle and wildlife controls and had strong involvement from industry working with government.
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Background Recent studies indicate an increased frequency of mutations in the gene encoding glucocerebrosidase (GBA), a deficiency of which causes Gaucher`s disease, among patients with Parkinson`s disease. We aimed to ascertain the frequency of GBA mutations in an ethnically diverse group of patients with Parkinson`s disease. Methods Sixteen centers participated in our international, collaborative study: five from the Americas, six from Europe, two from Israel, and three from Asia. Each center genotyped a standard DNA panel to permit comparison of the genotyping results across centers. Genotypes and phenotypic data from a total of 5691 patients with Parkinson`s disease (780 Ashkenazi Jews) and 4898 controls (387 Ashkenazi Jews) were analyzed, with multivariate logistic-regression models and the Mantel-Haenszel procedure used to estimate odds ratios across centers. Results All 16 centers could detect two GBA mutations, L444P and N370S. Among Ashkenazi Jewish subjects, either mutation was found in 15% of patients and 3% of controls, and among non-Ashkenazi Jewish subjects, either mutation was found in 3% of patients and less than 1% of controls. GBA was fully sequenced for 1883 non-Ashkenazi Jewish patients, and mutations were identified in 7%, showing that limited mutation screening can miss half the mutant alleles. The odds ratio for any GBA mutation in patients versus controls was 5.43 across centers. As compared with patients who did not carry a GBA mutation, those with a GBA mutation presented earlier with the disease, were more likely to have affected relatives, and were more likely to have atypical clinical manifestations. Conclusions Data collected from 16 centers demonstrate that there is a strong association between GBA mutations and Parkinson`s disease.
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Hyperglycemia, which increases O-linked beta-N-acetylglucosamine (O-GlcNAc) proteins, leads to changes in vascular reactivity. Because vascular dysfunction is a key feature of arterial hypertension, we hypothesized that vessels from deoxycorticosterone acetate and salt (DOCA-salt) rats exhibit increased O-GlcNAc proteins, which is associated with increased reactivity to constrictor stimuli. Aortas from DOCA rats exhibited increased contraction to phenylephrine (E(max) [mN] = 17.6 +/- 4 versus 10.7 +/- 2 control; n = 6) and decreased relaxation to acetylcholine (47.6 +/- 6% versus 73.2 +/- 10% control; n = 8) versus arteries from uninephrectomized rats. O- GlcNAc protein content was increased in aortas from DOCA rats (arbitrary units = 3.8 +/- 0.3 versus 2.3 +/- 0.3 control; n = 5). PugNAc (O- GlcNAcase inhibitor; 100 mu mol/L; 24 hours) increased vascular O- GlcNAc proteins, augmented phenylephrine vascular reactivity (18.2 +/- 2 versus 10.7 +/- 3 vehicle; n = 6), and decreased acetylcholine dilation in uninephrectomized (41.4 +/- 6 versus 73.2 +/- 3 vehicle; n = 6) but not in DOCA rats (phenylephrine, 16.5 +/- 3 versus 18.6 +/- 3 vehicle, n = 6; acetylcholine, 44.7 +/- 8 versus 47.6 +/- 7 vehicle, n = 6). PugNAc did not change total vascular endothelial nitric oxide synthase levels, but reduced endothelial nitric oxide synthase(Ser-1177) and Akt(Ser-473) phosphorylation (P < 0.05). Aortas from DOCA rats also exhibited decreased levels of endothelial nitric oxide synthase(Ser-1177) and Akt(Ser-473) (P < 0.05) but no changes in total endothelial nitric oxide synthase or Akt. Vascular O-GlcNAc-modified endothelial nitric oxide synthase was increased in DOCA rats. Blood glucose was similar in DOCA and uninephrectomized rats. Expression of O- GlcNAc transferase, glutamine: fructose-6-phosphate amidotransferase, and O- GlcNAcase, enzymes that directly modulate O-GlcNAcylation, was decreased in arteries from DOCA rats (P < 0.05). This is the first study showing that O-GlcNAcylation modulates vascular reactivity in normoglycemic conditions and that vascular O- GlcNAc proteins are increased in DOCA-salt hypertension. Modulation of increased vascular O-GlcNAcylation may represent a novel therapeutic approach in mineralocorticoid hypertension. (Hypertension. 2009; 53: 166-174.)
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It has been well-documented that leukotrienes (LTs) are released in allergic lung inflammation and that they participate in the physiopathology of asthma. A role for LTs in innate immunity has recently emerged: Cys-LTs were shown to enhance Fc gamma R-mediated phagocytosis by alveolar macrophages (AMs). Thus, using a rat model of asthma, we evaluated Fc gamma R-mediated phagocytosis and killing of Klebsiella pneumoniae by AMs. The effect of treatment with a cys-LT antagonist (montelukast) on macrophage function was also investigated. Male Wistar rats were immunized twice with OVA/alumen intraperitoneally and challenged with OVA aerosol. After 24 h, the animals were killed, and the AMs were obtained by bronchoalveolar lavage. Macrophages were cultured with IgG-opsonized red blood cells (50: 1) or IgG-opsonized K. pneumoniae (30: 1), and phagocytosis or killing was evaluated. Leukotriene C(4) and nitric oxide were quantified by the EIA and Griess methods, respectively. The results showed that AMs from sensitized and challenged rats presented a markedly increased phagocytic capacity via Fc gamma R (10X compared to controls) and enhanced killing of K. pneumoniae (4X higher than controls). The increased phagocytosis was inhibited 15X and killing 3X by treatment of the rats with montelukast, as compared to the non-treated group. cys-LT addition increased phagocytosis in control AMs but had no effect on macrophages from allergic lungs. Montelukast reduced nitric oxide (39%) and LTC(4) (73%). These results suggest that LTs produced during allergic lung inflammation potentiate the capacity of AMs to phagocytose and kill K. pneumonia via Fc gamma R. Copyright (C) 2010 S. Karger AG, Basel
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Objectives: The aim of this study was to evaluate the effects of tamoxifen on the weight and thickness of the urethral epithelium of castrated female rats. Methods: Forty castrated adult female Wistar-Hannover rats were randomly divided into two groups: Group I (n = 20) in which the animals received only the vehicle (propylene glycol) and Group 11 (n = 20) in which the rats received tamoxifen 250 mu g/day by gavage. After 30 days of treatment, all animals were sacrificed and the urethra was immediately removed for weighing. Next, the urethra was divided into the proximal and distal segments, which were fixed in 10% formaldehyde and submitted to routine histological techniques for morphometric study. The data were analyzed using the weighted minimum mean-square error method and Student`s t-test for two independent samples (p < 0.05). Results: There was a significant increase in the mean weight of the urethra in the rats of Group 11 compared to the control group, 32.0 +/- 2.0 mg and 22.0 +/- 1.6 mg, respectively (p < 0.001). The mean thickness of the distal urethral epithelium of the animals treated with tamoxifen was significantly greater than that of the control group, 42.8 +/- 2.0 mu m and 36.6 +/- 1.5 mu m, respectively (p < 0.001). There was no statistically significant difference between the two groups with respect to the epithelial thickness of the proximal urethra (p = 0.514). Conclusion: Treating castrated adult rats with 250 mu g/day of tamoxifen for 30 days may increase the weight of the urethra and the thickness of the distal urethral epithelium. (c) 2008 Elsevier Ireland Ltd. All rights reserved.
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Syfte: Att undersöka hur sjuksköterskor inom särskilt boende resonerar kring kvalitetsuppföljningar och dess eventuella konsekvenser för omvårdnaden. Metod: Semistrukturerade intervjuer efter öppen intervjuguide med sex sjuksköterskor. Kvalitativ innehållsanalys enligt Graneheim och Lundmans metod. Huvudresultat: I vilken grad kvalitetsregistren och kvalitetsuppföljningarna integreras i omvårdnadsarbetet och dess utveckling är centralt för om dessa uppfattas som stöd eller hinder för god kvalité i omvårdnaden. Dubbel dokumentation bidrar till att sjuksköterskorna omprioriterar arbetstiden och arbetar mer konsultativt och administrativt. Detta minskar tiden för omvårdnadsobservationer och handleding av omvårdnadspersonal samt gör att kvalitetsregistreringar snarast uppfattas som ett hinder. Sjuksköterskorna använde sin professionella kunskap och kliniska erfarenhet i högre grad än registerdata vid omvårdnadsbedömningar. Dessa sågs som alltför komplexa för att kunna fångas i kryssfrågeformulär. Mer kliniska observationer efterfrågas i kvalitetsuppföljningarna för ökad medvetenhet om hög arbetsbelastning och dess eventuella konsekvenser samt för att garantera de boende god omvårdnadskvalité. Konklusion: Sjuksköterskorna upplever att de arbetar under svår tidspress. Tiden anges som essentiell för vilken omvårdnadskvalité som erbjuds. Vid beslut om registreringar av kvalitetsindikatorer bör sjuksköterskornas totala arbetsbörda beaktas. Registreringarna bör integreras i befintliga journalsystem så att sjuksköterskornas omprioriteringar inte får negativa konsekvenser för omvårdnadskvaliten.
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Parkinson’s disease (PD) is an increasing neurological disorder in an aging society. The motor and non-motor symptoms of PD advance with the disease progression and occur in varying frequency and duration. In order to affirm the full extent of a patient’s condition, repeated assessments are necessary to adjust medical prescription. In clinical studies, symptoms are assessed using the unified Parkinson’s disease rating scale (UPDRS). On one hand, the subjective rating using UPDRS relies on clinical expertise. On the other hand, it requires the physical presence of patients in clinics which implies high logistical costs. Another limitation of clinical assessment is that the observation in hospital may not accurately represent a patient’s situation at home. For such reasons, the practical frequency of tracking PD symptoms may under-represent the true time scale of PD fluctuations and may result in an overall inaccurate assessment. Current technologies for at-home PD treatment are based on data-driven approaches for which the interpretation and reproduction of results are problematic. The overall objective of this thesis is to develop and evaluate unobtrusive computer methods for enabling remote monitoring of patients with PD. It investigates first-principle data-driven model based novel signal and image processing techniques for extraction of clinically useful information from audio recordings of speech (in texts read aloud) and video recordings of gait and finger-tapping motor examinations. The aim is to map between PD symptoms severities estimated using novel computer methods and the clinical ratings based on UPDRS part-III (motor examination). A web-based test battery system consisting of self-assessment of symptoms and motor function tests was previously constructed for a touch screen mobile device. A comprehensive speech framework has been developed for this device to analyze text-dependent running speech by: (1) extracting novel signal features that are able to represent PD deficits in each individual component of the speech system, (2) mapping between clinical ratings and feature estimates of speech symptom severity, and (3) classifying between UPDRS part-III severity levels using speech features and statistical machine learning tools. A novel speech processing method called cepstral separation difference showed stronger ability to classify between speech symptom severities as compared to existing features of PD speech. In the case of finger tapping, the recorded videos of rapid finger tapping examination were processed using a novel computer-vision (CV) algorithm that extracts symptom information from video-based tapping signals using motion analysis of the index-finger which incorporates a face detection module for signal calibration. This algorithm was able to discriminate between UPDRS part III severity levels of finger tapping with high classification rates. Further analysis was performed on novel CV based gait features constructed using a standard human model to discriminate between a healthy gait and a Parkinsonian gait. The findings of this study suggest that the symptom severity levels in PD can be discriminated with high accuracies by involving a combination of first-principle (features) and data-driven (classification) approaches. The processing of audio and video recordings on one hand allows remote monitoring of speech, gait and finger-tapping examinations by the clinical staff. On the other hand, the first-principles approach eases the understanding of symptom estimates for clinicians. We have demonstrated that the selected features of speech, gait and finger tapping were able to discriminate between symptom severity levels, as well as, between healthy controls and PD patients with high classification rates. The findings support suitability of these methods to be used as decision support tools in the context of PD assessment.
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Regarding the location of a facility, the presumption in the widely used p-median model is that the customer opts for the shortest route to the nearest facility. However, this assumption is problematic on free markets since the customer is presumed to gravitate to a facility by the distance to and the attractiveness of it. The recently introduced gravity p-median model offers an extension to the p-median model that account for this. The model is therefore potentially interesting, although it has not yet been implemented and tested empirically. In this paper, we have implemented the model in an empirical problem of locating vehicle inspections, locksmiths, and retail stores of vehicle spare-parts for the purpose of investigating its superiority to the p-median model. We found, however, the gravity p-median model to be of limited use for the problem of locating facilities as it either gives solutions similar to the p-median model, or it gives unstable solutions due to a non-concave objective function.
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This paper presents a computer-vision based marker-free method for gait-impairment detection in Patients with Parkinson's disease (PWP). The system is based upon the idea that a normal human body attains equilibrium during the gait by aligning the body posture with Axis-of-Gravity (AOG) using feet as the base of support. In contrast, PWP appear to be falling forward as they are less-able to align their body with AOG due to rigid muscular tone. A normal gait exhibits periodic stride-cycles with stride-angle around 45o between the legs, whereas PWP walk with shortened stride-angle with high variability between the stride-cycles. In order to analyze Parkinsonian-gait (PG), subjects were videotaped with several gait-cycles. The subject's body was segmented using a color-segmentation method to form a silhouette. The silhouette was skeletonized for motion cues extraction. The motion cues analyzed were stride-cycles (based on the cyclic leg motion of skeleton) and posture lean (based on the angle between leaned torso of skeleton and AOG). Cosine similarity between an imaginary perfect gait pattern and the subject gait patterns produced 100% recognition rate of PG for 4 normal-controls and 3 PWP. Results suggested that the method is a promising tool to be used for PG assessment in home-environment.
Caracterização de núcleos celulares no adenocarcinoma primário de reto por análise de imagem digital
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O câncer colorretal é um tumor maligno freqüente no mundo ocidental. É o terceiro em freqüência e o segundo em mortalidade nos países desenvolvidos. No Brasil está entre as seis neoplasias malignas mais encontradas e a quinta em mortalidade. Dos tumores colorretais, aproximadamente 40% estão localizados no reto. A sobrevida, em cinco anos, dos pacientes operados por câncer do reto varia entre 40% e 50%, estando os principais fatores prognósticos, utilizados na prática clínica corrente, baseados em critérios de avaliação clínico-patológicos. A avaliação das alterações morfométricas e densimétricas nas neoplasias malignas tem, recentemente, sido estudadas e avaliadas através da análise de imagem digital e demonstrado possibilidades de utilização diagnóstica e prognóstica. A assinatura digital é um histograma representativo de conjuntos de características de textura da cromatina do núcleo celular obtida através da imagem computadorizada. O objetivo deste estudo foi a caracterização dos núcleos celulares neoplásicos no adenocarcinoma primário de reto pelo método da assinatura digital e verificar o valor prognóstico das alterações nucleares da textura da cromatina nuclear para esta doença. Foram avaliados, pelo método de análise de imagem digital, 51 casos de pacientes operados no Hospital de Clínicas de Porto Alegre (HCPA) entre 1988 e 1996 e submetidos à ressecção eletiva do adenocarcinoma primário de reto, com seguimento de cinco anos pós-operatório, ou até o óbito antes deste período determinado pela doença, e 22 casos de biópsias normais de reto obtidas de pacientes submetidos a procedimentos endoscópicos, para controle do método da assinatura digital. A partir dos blocos de parafina dos espécimes estocados no Serviço de Patologia do HCPA, foram realizadas lâminas coradas com hematoxilina e eosina das quais foram selecionados 3.635 núcleos dos adenocarcinomas de reto e 2.366 núcleos dos controles da assinatura digital, totalizando 6.001 núcleos estudados por análise de imagem digital. De cada um destes núcleos foram verificadas 93 características, sendo identificadas 11 características cariométricas com maior poder de discriminação entre as células normais e neoplásicas. Desta forma, através da verificação da textura da cromatina nuclear, foram obtidos os histogramas representativos de cada núcleo ou conjunto de núcleos dos grupos ou subgrupos estudados, também no estadiamento modificado de Dukes, dando origem às assinaturas digitais correspondentes. Foram verificadas as assinaturas nucleares, assinaturas de padrão histológico ou de lesões e a distribuição da Densidade Óptica Total. Houve diferença significativa das características entre o grupo normal e o grupo com câncer, com maior significância para três delas, a Área, a Densidade Óptica Total e a Granularidade nuclear. Os valores das assinaturas médias nucleares foram: no grupo normal 0,0009 e nos estadiamentos; 0,9681 no A, 4,6185 no B, 2,3957 no C e 2,1025 no D e diferiram com significância estatística (P=0,001). A maior diferença do normal ocorreu no subgrupo B de Dukes-Turnbull. As assinaturas nucleares e de padrão histológico mostraram-se distintas no grupo normal e adenocarcinoma, assim como a distribuição da Densidade Óptica Total a qual mostra um afastamento progressivo da normalidade no grupo com câncer. Foi possível a caracterização do adenocarcinoma de reto, que apresentou assinaturas digitais específicas. Em relação ao prognóstico, a Densidade Óptica Total representou a variável que obteve o melhor desempenho, além do estadiamento, como preditor do desfecho.
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This dissertation evaluates macroeconomic management in Brazil from 1994 to the present, with particular focus on exchange rate policy. It points out that while Brazil's Real Plan succeeded in halting the hyperinflation that had reached more than 2000 percent in 1993, it also caused significant real appreciation of the exchange rate situation that was only made worse by the extremely high interest rates and ensuing bout of severe financial crises in the intemational arena. By the end of 1998, the accumulation of internai and externai imbalances led the authorities to drop foreign exchange controls and allow the currency to float. In spite of some initial scepticism, the flexible rate regime cum inflation target proved to work well. Inflation was kept under control; the current account position improved significantly, real interest rates fell and GDP growth resumed. Thus, while great challenges still lie ahead, the recent successes bestow some optimism on the well functioning of this exchange rate regime. The Brazilian case suggests that successful transition from one foreign exchange system to another, particularly during financial crisis, does not depend only on one variable be it fiscal or monetary. In reality, it depends on whole set of co-ordinated policies aimed at resuming price stability with as little exchange rate and output volatility as possible.
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Due to the crisis over rigid automation that occurred around 1960, management models essentially fordist, have gradually become more flexible. The software factories, however, that emerged in the nineties manufacturing the most advanced technological products, adopted eminently fordist controls and seem to be going contrary to the evolutionary cycle that organizations tend to follow. The alternation between rigid and flexible management models of these software factories, observed under continuum fordism (0) ______ (1) post-fordism, as well as the limitations of the metaphor that emerges given the nature of the software they manufacture, constitutes the object of the study.
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E ste estudo foi motivado pelo sentimento de que o alto custo tínanceiro que se verifica em várias pequenas empresas é, pelo menos em parte. relacionado com a precariedade dos controles administrativos e das infOlmaç õc s contábeis que deveriam suportar a tomada de decisões diárias de seus respectivos gestores. O objetivo desta dissertação é estudar as conseqüênc ias para as pequenas empresas brasileiras de uma má administração de reeursos financeiros, causadas principalmente pela informalidade do negócio e pela precariedade de informações contábeis uti lizadas na tomada de decisões. Partindo-se de pesquisas que mostram a elevada taxa de mortalidade em pequenos negóeios no Brasil e suas principais causas, faz-se nesta dissertação uma descrição sumária dos pri ncipais aspectos teóri cos que envolvem a administração financeira e o processo contábil de geração de informação, além de um estudo sobre as principais fontes de captação de recursos disponíveis para as pequenas empresas e o custo dessas operações.