471 research outputs found
Lead content in abortion material from urban women in early pregnancy
No full textLead concentration was determined in abortion material obtained from non-professionally exposed women following legal abortions. Furthermore, lead and free erythrocyte porphyrin levels in mother's blood were measured. Under conditions of apparent "normal" lead exposure, we detected lead levels in abortion products which were between 0.07 and 5.29 micrograms/g dry weight with a geometric mean of 1.27. No significant correlation was observed between the parameters measured in mother's blood and lead content in the specimens of the first trimester. The influence of different factors, such as smoking, area of residence, gestational age and parity, was also investigated. None of these factors showed a contributory effect on the total variation of lead in abortion material. From these data, we can conclude that, at least in our population, lead does not accumulate in human embryos/fetuses in the first trimester of pregnancy
Dispersal of methicillin resistant Staphylococcus aureus (MRSA) in a burn intensive care unit
No full textMethicillin resistant Staphylococcus aureus (MRSA) is a pathogen of special concern in intensive care units (ICUs). The burn units are a very susceptible habitat to colonization and infection events by this organism. In this paper isolation of MRSA from a sepsis case and from samples of the care unit air is described, along with simultaneous circulation of two clones of MRSA. Some peculiar epidemiological features of MRSA in burn intensive care wards are confirmed
Discovering hybrid process models with bounds on time and complexity
No full textDiscovering process models from event data is a highly relevant, but also a notoriously difficult, problem. Therefore, it is unsurprising that the biggest share of process mining research is devoted to process discovery. While techniques reported in scientific literature tend to produce process models that are formal, i.e., which mathematically describe the possible behaviors, commercial process mining tools return informal models (merely a “picture” not allowing for any form of formal reasoning). Hybrid process models aim at combining the best of both worlds: they capture behavior that is strongly supported by data and that can be used for formal reasoning, as well as behavior that cannot be represented in clear-cut process constructs or that does not have enough evidence in the data. This paper presents an approach for discovering hybrid Petri nets, which, unlike existing techniques, produces models that have both formal and semi-formal constructs so that even if the behavior in the data is noisy and irregular or it does not fit predefined constructs, causal relationships are still captured. Our evaluation demonstrates the advantages of combining such “deliberate vagueness” with formal guarantees. The ideas presented here are fairly general, and can serve as a foundation for other, new hybrid discovery techniques
Verification of description logic Knowledge and Action Bases
No full textWe introduce description logic (DL) Knowledge and Action Bases (KAB), a mechanism that provides both a semantically rich representation of the information on the domain of interest in terms of a DL KB and a set of actions to change such information over time, possibly introducing new objects. We resort to a variant of DL-Lite where UNA is not enforced and where equality between objects may be asserted and inferred. Actions are specified as sets of conditional effects, where conditions are based on epistemic queries over the KB (TBox and ABox), and effects are expressed in terms of new ABoxes. We address the verification of temporal properties expressed in a variant of first-order μ-calculus where a controlled form of quantification across states is allowed. Notably, we show decidability of verification, under a suitable restriction inspired by the notion of weak acyclicity in data exchange. © 2012 The Author(s)
Il controllo e la prevenzione dell'infezione toxoplasmica in un campione di donne del Comune di Modena: primi risultati
No full text
Mycotic infection prevalence among patients undergoing bronchoalveolar lavage with search of SARS-CoV-2 after two negative nasopharyngeal swabs
No full textThe evidence that severe coronavirus disease 2019 (COVID-19) is a risk factor for development of mycotic respiratory infection with an increased mortality is rising. Immunosuppressed are among the most susceptible patients and Aspergillus species is the most feared superinfection. In this study we evaluated mycotic isolation prevalence on bronchoalveolar lavage (BAL) of patients who underwent bronchoscopy in search of severe acute respiratory coronavirus 2 (SARS-CoV-2) RNA. Moreover, we described the clinical characteristics and main outcomes of these patients. We included 118 patients, 35.9% of them were immunosuppressed for different reasons: in 23.7% we isolated SARS-CoV-2 RNA, in 33.1% we identified at least one mycotic agent and both in 15.4%. On BAL we observed in three cases Aspergillus spp, in six cases Pneumocystis and in 32 Candida spp. The prevalence of significant mold infection was 29.3% and 70.7% of cases were false positive or clinically irrelevant infections. In-hospital mortality of patients with fungal infection was 15.3%. The most frequent computed tomography (CT) pattern, evaluated with the Radiological Society of North America consensus statement, among patients with a mycotic pulmonary infection was the atypical one (p < 0.0001). Mycotic isolation on BAL may be interpreted as an innocent bystander, but its identification could influence the prognosis of patients, especially in those who need invasive investigations during the COVID-19 pandemic; BAL plays a fundamental role in resolving clinical complex cases, especially in immunosuppressed patients independently from radiological features, without limiting its role in ruling out SARS-CoV-2 infection
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