Balancing the role of the dental school in teaching, research and patient care; including care for underserved areas

Inequalities within dentistry are common and are reflected in wide differences in the levels of oral health and the standard of care available both within and between countries and communities. Furthermore there are patients, particularly those with special treatment needs, who do not have the same access to dental services as the general public. The dental school should aim to recruit students from varied backgrounds into all areas covered by the oral healthcare team and to train students to treat the full spectrum of patients including those with special needs. It is essential, however, that the dental student achieves a high standard of clinical competence and this cannot be gained by treating only those patients with low expectations for care. Balancing these aspects of clinical education is difficult. Research is an important stimulus to better teaching and better clinical care. It is recognized that dental school staff should be active in research, teaching, clinical work and frequently administration. Maintaining a balance between the commitments to clinical care, teaching and research while also taking account of underserved areas in each of these categories is a difficult challenge but one that has to be met to a high degree in a successful, modern dental school.

A Comparative Study of the Frequency of Antibody and Titers Against Human Herpesvirus 8 Latent and Lytic Antigens in ""At-Risk"" Individuals and Among Patients With Kaposi`s Sarcoma

Differences in the prevalence of human herpesvirus 8 (HHV-8) and Kaposi`s sarcoma (KS) have been described, depending on the study population and their geographic origin. A cross-sectional study aimed at detecting the frequency and titers of antibodies against HHV-8 latent and lytic antigens in serum samples from individuals with different risk-factors for HHV-8 infection, as well as predictive marker identification in patients with KS, was conducted. Serum samples were collected from seven groups of individuals: 75 patients with AIDS-KS, 5 with classic KS, 16 with African KS, 495 with HIV/AIDS, 805 patients with chronic kidney disease, 683 handicapped individuals, and 757 health care workers. Samples were evaluated for the presence and titers of HHV-8-specific antibodies to latent and lytic antigens using ""in house"" immunofluorescence assays. The results were analyzed by the Chi-square, Fisher`s exact test, Kruskal-Wallis and/or Mann-Whitney U-tests. The frequencies of HHV-8 antibodies were as follows: 87.5-100% in patients with KS, 20.4% in patients with HIV/AIDS, 18% in patients with chronic kidney disease, 1.6% in handicapped individuals, and 1.1% in health care workers. A greater number of samples were antibody positive to lytic antigens. Elevated titers of antibodies to latent and lytic antigens, mostly among patients with KS, were detected. Using established serological assays, different ""at-risk"" populations for HHV-8 infection/disease were detected in this geographic area, confirming HIV/AIDS and identifying patients with chronic kidney disease as high-risk groups. It is suggested that a longitudinal evaluation of antibody titers in patients with chronic kidney disease be undertaken to confirm their predictive value in the development of KS. J. Med. Virol. 81: 1292-1297, 2009. (C) 2009 Wiley-Liss, Inc.

Mice and larvae tracking using a particle filter with an auto-adjustable observation model

This paper proposes a novel way to combine different observation models in a particle filter framework. This, so called, auto-adjustable observation model, enhance the particle filter accuracy when the tracked objects overlap without infringing a great runtime penalty to the whole tracking system. The approach has been tested under two important real world situations related to animal behavior: mice and larvae tracking. The proposal was compared to some state-of-art approaches and the results show, under the datasets tested, that a good trade-off between accuracy and runtime can be achieved using an auto-adjustable observation model. (C) 2009 Elsevier B.V. All rights reserved.