4,380 research outputs found
Hepatitis C virus-associated oral lichen planus: no influence from hepatitis G virus co-infection
No full textThere is a variable geographic distribution in the prevalence of hepatitis C virus (HCV)-related oral lichen planus (OLP), which appears unrelated to either HCV genotype or HCV epidemiology. The present study investigated whether hepatitis G virus (HGV) co-infection may be a feature of patients with HCV-related OLP, which might explain these phenomena. HGV co-infection was detected in 6 of 39 Italian patients with HCV-related OLP, but the presence of
HGV did not influence the clinical presentation of OLP. It is concluded that HGV co-infection is unlikely to influence the clinical detection of HCV-related OLP
Prevalence of HCV infection in health care workers of a UK dental hospital
No full textTo determine the prevalence of hepatitis C virus (HCV) antibodies in a group of dental health care workers (DHCW)
Is there a way to rate insecticides that is less detrimental to human and environmental health?
No full textPlant protection is essential for providing high-quality food in adequate quantities. However, the use of insecticides often induces adverse effects on environment and human health. The Agency for the Environmental Protection of Tuscany (Italy) arranges pesticide ingredients in five classes basing on their impact on human health. We classified the pesticide treatments carried out by 48 winegrowers of the Veneto Region (Italy) in relation to the active ingredients contained into the used pesticides over a three-year period (2015–2017). It was found that the cost of insecticides and their class of impact were related, and that the cost's pressure led farmers to favor insecticides with active ingredients having a high negative impact on human health. The same active ingredients are used worldwide. We propose to implement taxation measures and subsidies to deter the use of the most harmful insecticides
Bile duct injuries associated with cholecystectomy
No full textIan C. Roberts-Thomson, Edward Teo and Guy J. Madder
Left atrial myxoma: magnet or echo?
No full textThe definitive version is available at www.blackwell-synergy.comK. C. Roberts-Thomson, K. S. L. Teo, R. Stuklis and S. G. Worthle
Single-cell responses to three-dimensional structure in a functionally defined patch in macaque area TEO
No full textBoth dorsal and ventral visual pathways harbor several areas sensitive to gradients of binocular disparity (i.e., higher-order disparity). Although a wealth of information exists about disparity processing in early visual (V1, V2, and V3) and end-stage areas, TE in the ventral stream, and the anterior intraparietal area (AIP) in the dorsal stream, little is known about midlevel area TEO in the ventral pathway. We recorded single-unit responses to disparity-defined curved stimuli in a functional magnetic resonance imaging (fMRI) activation elicited by curved surfaces compared with flat surfaces in the macaque area TEO. This fMRI activation contained a small proportion of disparity-selective neurons, with very few of them second-order disparity selective. Overall, this population of TEO neurons did not preserve its three-dimensional structure selectivity across positions in depth, indicating a lack of higher-order disparity selectivity, but showed stronger responses to flat surfaces than to curved surfaces, as predicted by the fMRI experiment. The receptive fields of the responsive TEO cells were relatively small and generally foveal. A linear support vector machine classifier showed that this population of disparity-selective TEO neurons contains reliable information about the sign of curvature and the position in depth of the stimulus. NEW & NOTEWORTHY We recorded in a part of the macaque area TEO that is activated more by curved surfaces than by flat surfaces at different disparities using the same stimuli. In contrast to previous studies, this functional magnetic resonance imaging-defined patch did not contain a large number of higher-order disparity-selective neurons. However, a linear support vector machine could reliably classify both the sign of the disparity gradient and the position in depth of the stimuli.sponsorship: This work was supported by Fonds voor Wetenschappelijk Onderzoek Vlaanderen, Program Financing (PFV/10/008), IUAP VII/11 and Odysseus Grant G.0007.12. (Fonds voor Wetenschappelijk Onderzoek Vlaanderen, Program Financing|PFV/10/008, Odysseus Grant|G.0007.12, IUAP VII/11)status: Publishe
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