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OBJECTIVE: The aim of this cross-sectional study was to evaluate the association between periodontitis and different severities of chronic kidney disease (CKD) in predialytic patients. MATERIALS AND METHODS: Demographic, socioeconomic, and medical data of 139 patients from the nephrology service of one university hospital in Porto Alegre, Brazil, were obtained through interview and clinical records. Full-mouth six-sites per tooth periodontal examinations were performed. Associations between periodontitis, stages of CKD, and estimated glomerular filtration rate (eGFR) were estimated by multivariable models adjusted for sex, smoking, vitamin D supplementation, physical activity, and renal treatment duration. CKD was classified based on eGFR (<60 ml/min/1.73 m(2) ) estimated by the Chronic Kidney Disease Epidemiology Collaboration equation. RESULTS: Patients with severe periodontitis, compared to those without severe periodontitis, had 2.8 (95% CI: 1.25-6.62) and 3.4 (95% CI: 1.27-9.09) times higher risk of being in stages 4 and 5 of CKD, respectively. Having >/= 2 teeth with clinical attachment loss (CAL) >/=6 mm increased 3.9 times the risk of being in stage 5 of CKD. Patients with severe periodontitis and >/=2 teeth with CAL >/= 6 mm had 4.4 ml/min/1.73(2) and 5.2 ml/min/1.73(2) lower eGFR (p-values < .05), respectively. CONCLUSION: Severe periodontitis was associated with poor renal conditions in predialytic CKD patients, strengthening the importance of periodontal evaluation in such patient population.

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OBJECTIVES: The aim of this study was to assess the survival of composite restorations after selective (SCR) or total caries removal (TCR) and determine predictors of failures after 36 months. METHODS: 120 teeth with deep occlusal or occlusal-proximal carious lesions were randomly divided into control (TCR; n = 54; 69% Class II) and test (SCR; n = 66; 63% Class II) groups. Clinical evaluation was applied using the USPHS criteria, and the presence of Charlie or Delta scores at the marginal integrity were considered as a failure. RESULTS: The overall survival rate of restorations was 68% after 36 months, 81% for TCR and 57% for SCR (p = 0.004). The multivariable Cox Regression model demonstrated that restorations performed after SCR had 3.44 times greater probability of failure compared to TCR (p = 0.006). The other two predictors for failure of restorations were teeth with Class II cavities (hazard ratio = 3.3) and children with gingival bleeding over 20% (hazard ratio = 2.5). CONCLUSIONS: Performing composite restorations after SCR in primary teeth had success rate significantly lower than restorations performed after TCR. Complex cavities and worst patient s oral hygiene were found to be predictors of failure of restorations. CLINICAL SIGNIFICANCE: Although SCR has been demonstrating high rates of pulp preservation, clinicians should consider that composite restorations fail in a higher frequency compared to TCR in primary teeth and, in some circumstances, may be preferable in terms of restoration longevity.

Entre os dias 04/03/2020 a 07/03/2020, o curso de graduação em Desenvolvimento Regional da Universidade Federal do Rio Grande do Sul sediado no Campus Litoral Norte, Tramandaí, Rio Grande do Sul, recebeu a visita de Reconhecimento presencial por parte dos avaliadores do Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (INEP) do Ministério da Educação: Prof. Evandro de Araújo Jardini (Instituto Federal de Educação, Ciência e Tecnologia de São Paulo) coordenador da comissão e Profa. Mirella Caetano de Souza (Instituto Federal de Educação, Ciência e Tecnologia de São Paulo).

Enquanto membro da Comissão de Graduação do Desenvolvimento Regional e do Núcleo de Avaliação da Unidade da UFRGS Litoral (https://www.ufrgs.br/naulitoral/) participei ativamente do processo de avaliação.
Ao final, o curso de graduação em Desenvolvimento Regional recebeu nota 5, a nota máxima nesse tipo de avaliação. Essa nota é o resultado arredondado das casas decimais para cima do cálculo da média aritmética das notas de cada item. Felizmente a maior parte das notas foi em valores entre 4 e 5, o que fez que a média ficasse em 4,6 e finalmente, após o arredondamento, a nota final foi 5.

Entretanto, alguns itens avaliados tiveram nota 3 e 4, e merecem atenção para que se busque sanar possíveis falhas ou carências que ficaram expressas nessas notas mais baixas do que a média.
Dessa forma, este material busca cruzar o resultado obtido na avaliação do curso de graduação em Desenvolvimento Regional (DR) cujos resultados estão detalhados no Relatório de Avaliação (INEP, 2020) com as definições e conceitos contidos no instrumento de avaliação utilizado para a avaliação (INEP, 2017).

As notas que receberam nota 3 e que são objeto deste relatório são:
1. Vagas – número de vagas e monitoramento;
2. Atuação e regime de trabalho do coordenador do curso;
3. Produção científica do corpo docente.

These datasets include the relative abundances of planktonic foraminifera, relative abundances of drilled specimens, stable isotope data and age model results of sediment core SAT-048A.

Author summary Allostery in proteins is the property of highly specific responses to ligand binding at a distant site. To inform protocols of de novo drug design, it is fundamental to understand the impact of mutations on allosteric regulation and whether it can be predicted from evolutionary correlations. In this work we consider allosteric architectures artificially evolved to optimize the cooperativity of binding at allosteric and active site. We first characterize the emergent pattern of epistasis as well as the underlying mechanical phenomena, finding the four types of epistasis (Synergistic, Sign, Antagonistic, Saturation), which can be both short or long-range. The numerical evolution of these allosteric architectures allows us to benchmark Direct Coupling Analysis, a method which relies on co-evolution in sequence data to infer direct evolutionary couplings, in connection to allostery. We show that Direct Coupling Analysis predicts quantitatively point mutation costs but underestimates strong long-range epistasis. We provide an argument, based on a simplified model, illustrating the reasons for this discrepancy. Our analysis suggests neural networks as more promising tool to measure epistasis.

Key Points: For the first time, drill holes in planktonic Foraminifera from the western South Atlantic were compared with paleoceanographic proxies. Paleoproductivity of the western South Atlantic was reconstructed using assemblage and geochemical indexes for the last 46 kyr. Paleoproductivity estimates and bioerosion rates of planktonic foraminiferal tests show a strong relation during late Quaternary.