The staphylococcal community of the environments of nine French small-scale processing units and their naturally fermented meat products was identified by analyzing 676 isolates. Fifteen species were accurately identified using validated molecular methods. The three prevalent species were Staphylococcus equorum (58.4%), Staphylococcus saprophyticus (15.7%) and Staphylococcus xylosus (9.3%). S. equorum was isolated in all the processing units in similar proportion in meat and environmental samples. S. saprophyticus was also isolated in all the processing units with a higher percentage in environmental samples. S. xylosus was present sporadically in the processing units and its prevalence was higher in meat samples. The genetic diversity of the strains within the three species isolated from one processing unit was studied by PFGE and revealed a high diversity for S. equorum and S. saprophyticus both in the environment and the meat isolates. The genetic diversity remained high through the manufacturing steps. A small percentage of the strains of the two species share the two ecological niches. These results highlight that some strains, probably introduced by the meat, will persist in the manufacturing environment, while other strains are more adapted to the meat products.
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http://dx.doi.org/10.1016/j.fm.2009.11.005 | DOI Listing |
J Food Sci
December 2024
School of Life Science and Engineering, Henan University of Urban Construction, Pingdingshan, China.
This study aimed to investigate the potential of condensed tannins isolated from Cercis chinensis Bunge leaves as natural preservatives for fruits and vegetables. The research demonstrated that C. chinensis leaves condensed tannins (CLCT) significantly delay the browning process and reduce nutritional loss in fresh-cut lotus roots.
View Article and Find Full Text PDFIntegr Psychol Behav Sci
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Comparative Minds Research Group, Departament de Psicologia, Universitat de Girona, Plaça Sant Domènech 9, Girona, 17004, Catalonia, Spain.
The present paper treats the issue of methodological assumptions in mainstream neuropsychology and, as counter-concepts, in Vygotsky's approach and Holzkamp's critical psychology. The analysis identifies four main assumptions concerning the methodology of mainstream neuropsychology, which are contrasted with the positions of other approaches. The methodologies of the mainstream neuropsychology vs.
View Article and Find Full Text PDFCrit Care
December 2024
Department of Critical Care Medicine, Yokohama City University Hospital, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan.
Background: Medical advances in intensive care units (ICUs) have resulted in the emergence of a new patient population-those who survive the initial acute phase of critical illness, but require prolonged ICU stays and develop chronic critical symptoms. This condition, often termed Persistent Critical Illness (PerCI) or Chronic Critical Illness (CCI), remains poorly understood and inconsistently reported across studies, resulting in a lack of clinical practice use. This scoping review aims to systematically review and synthesize the existing literature on PerCI/CCI, with a focus on definitions, epidemiology, and outcomes for its translation to clinical practice.
View Article and Find Full Text PDFSci Rep
December 2024
ANETI Lab, Corvinus Institute for Advanced Studies, Corvinus University of Budapest, Budapest, 1093, Hungary.
Researchers face the trade-off between publishing mobility data along with their papers while protecting the privacy of the individuals. In addition to the anonymization process, other techniques, such as spatial discretization and location concealing or removal, are applied to achieve these dual objectives. The primary research question is whether concealing the observation area is an adequate form of protection or whether human mobility patterns in urban areas are inherently revealing of location.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Industrial Engineering, University of Houston, Houston, TX, USA.
Health event prediction is empowered by the rapid and wide application of electronic health records (EHR). In the Intensive Care Unit (ICU), precisely predicting the health related events in advance is essential for providing treatment and intervention to improve the patients outcomes. EHR is a kind of multi-modal data containing clinical text, time series, structured data, etc.
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