Aeromonas no processamento de queijos tipos Minas Frescal e Colonial.

Resumo: Com o objetivo de estabelecer, durante o processamento do queijo Minas Frescal e Colonial os possíveis pontos de contaminação e a forma de disseminação de bactérias do gênero Aeromonas, foram analisados, quanto à presença do micro-organismo, diferentes produtos e pontos do fluxograma de produção. Para o Queijo Minas Frescal, Aeromonas spp. foram isoladas no leite cru, leite pasteurizado, ambiente de produção e nas mãos dos manipuladores. A. caviae foi a espécie mais frequentemente identificada, sendo também isoladas A. sobria e A. schubertii. Durante o processamento do queijo Colonial, as espécies A. hydrophila, A. caviae, A. sobria, A. veronii e A. jandaei foram isoladas a partir da água, mãos dos manipuladores, utensílios, leite cru e após tratamento térmico e de massa coagulada. Os resultados demonstram que o gênero Aeromonas encontra-se disseminado nas diferentes etapas do processamento de queijos, destacando-se o leite cru como principal fonte de contaminação para o processamento industrial e artesanal. [Aeromonas in processing line of Minas Frescal and Colonial cheeses]. Abstract: The aim of this study is to establish possible contamination points and dissemination forms of the bacteria genus Aeromonas during the processing of the Brazilian cheeses Minas Frescal and Colonial. Therefore, different products and production points of the process were analyzed to determine the presence of the microorganism. In Minas Frescal cheese, Aeromonas spp. was isolated in raw and pasteurized milk, in the environment and on the handlers? hands. A. caviae was the most frequently identified species, but A. sobria and A. schubertii were also isolated. During the processing of Colonial cheese, the species A. hydrophila, A. caviae, A. sobria, A. veronii and A. jandaei were isolated in the water, raw milk, after thermal treatment and curd, as well as on the handlers' hands and utensils. The results showed that the genus Aeromonas is disseminated throughout different stages of both cheese processes while the raw milk stands out as the main source of contamination in the industrial and handmade processing

STUDY OF THE O-18+Ni-64 TWO-NEUTRON TRANSFER REACTION AT 84 MeV BY MAGNEX

A study of the two-neutron transfer reaction of the O-18 + Ni-64 system at 84 MeV incident energy to the ground and first 2(+) excited state of the residual Ni-66 nucleus is presented. The experiment was performed at the INFN-LNS (Italy) by using the large acceptance MAGNEX spectrometer. Theoretical models are used in order to disentangle the competition between long-range and short-range correlations

Frequencies of Salmonella enterica in growing pigs in Paraguay

The objective of this study was to (1) estimate frequencies of Salmonella enterica in growing pigs and (2) investigate farmers' perception and practices towards pig farming in Central Department, Paraguay. Twelve out of 19 districts in the department were selected and 33 farms with growers in the selected districts were recruited. Questionnaire interviews for each study farm, in combination with faecal sample collections (n = 30 per farm), which were microbiologic ally examined and visual inspection of pig production facilities were performed between March and November 2009. A questionnaire was designed to obtain basic information of a farm such as the number of pigs owned and some selected farming management practices. Faecal samples were used for Salmonella isolation, using buffered peptone water to have salmonellae pre-enriched, followed by xylose lysine tergitol 4 agar and brilliant green sulfapyridine agar. Suspect colonies were bio chemically tested by triple sugar iron agar in combination with lysine iron agar to confirm the identity. The true frequency probability and associated 95% Bayesian credible intervals (95% BCI) were computed via the Gibbs sampler, a Markov chain Monte Carlo technique. Overall, 18% (95% BCI: 8-31%) of the tested 1000 faecal samples were classified as positive for Salmonella enterica. All the study farms had at least one positive sample for Salmonella enterica (frequency range: 3-60%). Apparent prevalence at farm-level was therefore 100% (one-sided 97.5% confidence limit: 89%). Twenty-eight different serovars for Salmonella enterica were found. Based on increase the number of study districts, farms as well as animals in combination with improvement of sampling methods, possible spatial differences and risk factors/indicators should be clarified by further investigations.Facultad de Ciencias Veterinaria

Frequencies of Salmonella enterica in growing pigs in Paraguay

The objective of this study was to (1) estimate frequencies of Salmonella enterica in growing pigs and (2) investigate farmers' perception and practices towards pig farming in Central Department, Paraguay. Twelve out of 19 districts in the department were selected and 33 farms with growers in the selected districts were recruited. Questionnaire interviews for each study farm, in combination with faecal sample collections (n = 30 per farm), which were microbiologic ally examined and visual inspection of pig production facilities were performed between March and November 2009. A questionnaire was designed to obtain basic information of a farm such as the number of pigs owned and some selected farming management practices. Faecal samples were used for Salmonella isolation, using buffered peptone water to have salmonellae pre-enriched, followed by xylose lysine tergitol 4 agar and brilliant green sulfapyridine agar. Suspect colonies were bio chemically tested by triple sugar iron agar in combination with lysine iron agar to confirm the identity. The true frequency probability and associated 95% Bayesian credible intervals (95% BCI) were computed via the Gibbs sampler, a Markov chain Monte Carlo technique. Overall, 18% (95% BCI: 8-31%) of the tested 1000 faecal samples were classified as positive for Salmonella enterica. All the study farms had at least one positive sample for Salmonella enterica (frequency range: 3-60%). Apparent prevalence at farm-level was therefore 100% (one-sided 97.5% confidence limit: 89%). Twenty-eight different serovars for Salmonella enterica were found. Based on increase the number of study districts, farms as well as animals in combination with improvement of sampling methods, possible spatial differences and risk factors/indicators should be clarified by further investigations.Facultad de Ciencias Veterinaria

Long-range versus short-range correlations in the two-neutron transfer reaction Ni 64 (O 18, O 16) Ni 66

Recently, various two-neutron transfer studies using the (18O,16O) reaction were performed with a large success. This was achieved because of a combined use of the microscopic quantum description of the reaction mechanism and of the nuclear structure. In the present work we use this methodology to study the two-neutron transfer reaction of the 18O+64Ni system at 84 MeV incident energy, to the ground and first 2+ excited state of the residual 66Ni nucleus. All the experimental data were measured by the large acceptance MAGNEX spectrometer at the Instituto Nazionale di Fisica Nucleare \u2013Laboratori Nazionali del Sud (Italy). We have performed exact finite range cross section calculations using the coupled channel Born approximation (CCBA) and coupled reaction channel (CRC) method for the sequential and direct two-neutron transfers, respectively. Moreover, this is the first time that the formalism of the microscopic interaction boson model (IBM-2) was applied to a two-neutron transfer reaction. From our results we conclude that for two-neutron transfer to the ground state of 66Ni, the direct transfer is the dominant reaction mechanism, whereas for the transfer to the first excited state of 66Ni, the sequential process dominates. A competition between long-range and short-range correlations is discussed, in particular, how the use of two different models (Shell model and IBM's) help to disentangle long- and short-range correlations

Diet and Anxiety: A Scoping Review.

Anxiety disorders are the most common group of mental disorders. There is mounting evidence demonstrating the importance of nutrition in the development and progression of mental disorders such as depression; however, less is known about the role of nutrition in anxiety disorders. This scoping review sought to systematically map the existing literature on anxiety disorders and nutrition in order to identify associations between dietary factors and anxiety symptoms or disorder prevalence as well as identify gaps and opportunities for further research. The review followed established methodological approaches for scoping reviews. Due to the large volume of results, an online program (Abstrackr) with artificial intelligence features was used. Studies reporting an association between a dietary constituent and anxiety symptoms or disorders were counted and presented in figures. A total of 55,914 unique results were identified. After a full-text review, 1541 articles met criteria for inclusion. Analysis revealed an association between less anxiety and more fruits and vegetables, omega-3 fatty acids, "healthy" dietary patterns, caloric restriction, breakfast consumption, ketogenic diet, broad-spectrum micronutrient supplementation, zinc, magnesium and selenium, probiotics, and a range of phytochemicals. Analysis revealed an association between higher levels of anxiety and high-fat diet, inadequate tryptophan and dietary protein, high intake of sugar and refined carbohydrates, and "unhealthy" dietary patterns. Results are limited by a large percentage of animal and observational studies. Only 10% of intervention studies involved participants with anxiety disorders, limiting the applicability of the findings. High quality intervention studies involving participants with anxiety disorders are warranted

Summary of the fourth international workshop on deep learning for testing and testing for deep learning (DeepTest 2023)

Deep Learning (DL) techniques help software developers thanks to their ability to learn from historical information which is useful in several program analysis and testing tasks (e.g., malware detection, fuzz testing, bug-finding, and type-checking). DL-based software systems are also increasingly adopted in safety-critical domains, such as autonomous driving, medical diagnosis, and aircraft collision avoidance systems. In particular, testing the correctness and reliability of DL-based systems is paramount, since a failure of such systems would cause a significant safety risk for the involved people and/or environment. The 4th International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest 2023) was co-located with the 45th International Conference on Software Engineering (ICSE), with the goal of targeting research at the intersection of software engineering and deep learning and devise novel approaches and tools to ensure the interpretability and dependability of software systems that depends on DL components