Screening forCronobacterSpecies in Powdered and Reconstituted Infant Formulas and from Equipment Used in Formula Preparation in Maternity Hospitals

Background/Aims: Cronobacter spp. have been identified as being of considerable risk to neonates. The occurrence of organism in infant formulas is therefore of considerable interest. Methods: The occurrence of Cronobacter spp. in infant feeds (formulas and fortified cow’s milk) was determined using most probable number (MPN) analysis, and from formula preparation utensils. Ninety nine samples were analyzed, of which 42 were unopened cans of powdered infant formula (PIF), 25 reconstituted infant formulas in feeding bottles, 27 utensils used from the preparation of infant formula, and 5 samples of fortified cow’s milk. Presumptive Cronobacter spp. isolates were identified using the 7 allele multilocus sequence typing (MLST) scheme. Results: C. sakazakii, C. malonaticus and C. muytjensii were recovered from PIF. Although the incidence of Cronobacter in PIF was 29% (12/42), the level was low with an average of 0.54 MPN/100g. According to MLST profiling, C. sakazakii was the most frequently isolated Cronobacter species, and C. sakazakii ST4 (associated with neonatal meningitis) was recovered from 2/42 PIF samples at 0.51 and 0.92 MPN/100g. Conclusions: Cronobacter spp. can be isolated from PIF and therefore strict hygienic practices during PIF preparation are important to minimize neonate exposure and reduce the risk of severe infections

Conflict-Aware Active Automata Learning

Active automata learning algorithms cannot easily handle conflict in the observation data (different outputs observed for the same inputs). This inherent inability to recover after a conflict impairs their effective applicability in scenarios where noise is present or the system under learning is mutating. We propose the Conflict-Aware Active Automata Learning (C AL) framework to enable handling conflicting information during the learning process. The core idea is to consider the so-called observation tree as a first-class citizen in the learning process. Though this idea is explored in recent work, we take it to its full effect by enabling its use with any existing learner and minimizing the number of tests performed on the system under learning, specially in the face of conflicts. We evaluate C AL in a large set of benchmarks, covering over 30 different realistic targets, and over 18,000 different scenarios. The results of the evaluation show that C AL is a suitable alternative framework for closed-box learning that can better handle noise and mutations

DO DYNAMIC TARIFFS PROMOTE INVESTMENT IN RENEWABLES? THE CASE OF A NON-REGULATED MONOPOLY

We consider a non-regulated monopolist supplier of electricity that may use renewable and/or non-renewable resources to produce electricity. Renewable resources require an ex ante investment and generate an uncertain output with fixed operating costs. Non-renewable resources are perfectly dispatchable and have variable operating costs proportional to output. We find that dynamic tariffs promote investment in renewables in all scenarios except one where output from renewables when weather conditions are favorable is so large that the monopolist prefers to curtail excess energy. Only in that scenario, dynamic tariffs decrease investment in renewables. In any case, dynamic tariffs are welfare-improving in that both the monopolist and consumers become better off

Ventilator-associated Pneumonia After Elective Cardiac Surgery Caused by Pneumocystis Jirovecii

Ventilator-associated pneumonia is a severe complication among patients undergoing cardiac surgery. Although hospital-acquired bacterial pathogens, often multidrug resistant, are the most frequent cause, non-bacterial atypical and opportunistic agents traditionally associated with immunocompromise are increasingly recognized. We describe ventilator-associated pneumonia due to Pneumocystis jirovecii in the absence of traditional risk factors for Pneumocystis pneumonia in a patient after cardiac surgery

Accuracy of prediction models for long-term type 2 diabetes remission after gastric bypass

AimTo evaluate the accuracy of DiaBetter, DiaRem, Ad-DiaRem and 5y-Ad-DiaRem scores' at predicting T2D remission 10 or more years after surgery.MethodsPatients with obesity and T2D (n = 126) submitted to RYGB with 10 or more years of follow-up. It was a unicentric trial. Pre-operative anthropometric and clinical data was retrieved to calculate DiaRem, DiaBetter, Ad-DiaRem and 5y-Ad-DiaRem scores, while a hospital visit was conducted to assess current diabetes status. The area under the receiver operating characteristic (AUROC) curve was calculated as estimate of the scores' accuracy to predict long-term T2D remission.ResultsAmong the entire cohort (n = 126), 70 subjects (55.6%) achieved and maintained T2D remission 10 or more years after RYGB. The 5y-Ad-DiaRem score was the one that depicted the highest discriminative power (AUROC = 0.838) to predict long-term T2D remission when compared to DiaBetter (AUROC = 0.735), DiaRem (AUROC = 0.721) and Ad-DiaRem (AUROC = 0.720).ConclusionThe score with highest accuracy to predict long-term T2D remission after RYGB surgery was the 5y-Ad-DiaRem. Yet, the available scores accuracy to predict T2D remission in the long term is still suboptimal, highlighting the unmet need for a better scoring system

Measuring attitude towards Buddhism and Sikhism : internal consistency reliability for two new instruments

This paper describes and discusses the development and empirical properties of two new 24-item scales – one measuring attitude toward Buddhism and the other measuring attitude toward Sikhism. The scale is designed to facilitate inter-faith comparisons within the psychology of religion alongside the well-established Francis Scale of Attitude toward Christianity. Data were obtained from a multi-religious sample of 369 school pupils aged between 13 and 15 in London. Application of the two scales demonstrated that adolescents had a more positive attitude to Buddhism than Sikhism. The findings confirm the reliability of the scales and commend them for further use

Responsabilidade legal sobre modelos de prótese parcial removível

Artículo originalObjetivo: Verificar junto aos laboratórios que realizam próteses parciais removíveis na cidade de Piracicaba, São Paulo, como eles recebem os modelos enviados pelos cirurgiões-dentistas para confecção dessas próteses. Métodos: A legislação pertinente sobre a responsabilidade civil de todos os envolvidos na confecção e utilização deste tipo de prótese foi igualmente verificada. Para tanto, foi utilizado um questionário com questões estruturadas e abertas, abordando todos os aspectos inerentes ao estudo; submetido e preenchido pelo Técnico em Prótese Dentária responsável pelos laboratórios. Os dados foram analisados por meio de estatística descritiva. Resultados: Verificou-se que o Técnico em Prótese Dentária (100 porciento) é o responsável por todos os laboratórios pesquisados e estes (100 porciento) sabem que cabe ao cirurgião-dentista o planejamento das próteses parciais removíveis. Os respectivos modelos de próteses parciais removíveis representavam uma cavidade bucal praticamente sem preparo prévio à moldagem e estes são enviados sem os respectivos planejamentos. Conclusão: Concluiu-se que todos os profissionais envolvidos com este tipo de trabalho possuem conhecimentos parciais com relação às diversas fases necessárias para obtenção de sucesso neste tipo de tratamento e conhecimentos precários sobre a legislação que norteia suas funções. A responsabilidade civil do cirurgião-dentista, no tocante à área de Próteses Parciais Removíveis, independente da sua classificação (classe I, II, III e IV de Kennedy), é considerada como responsabilidade de meio. No entanto, deve-se destacar que a propaganda e a publicidade podem alterar tal consideração caso o cirurgião-dentista venha a prometer previsibilidade estética, conforme estabelecido no Código de Proteção e Defesa do Consumidor. (AU