Publications by authors named "C A Negri"

Group A (GAS), particularly (), is a significant human pathogen responsible for infections often ranging from mild superficial conditions to severe, life-threatening diseases like necrotizing fasciitis (NF) and streptococcal toxic shock syndrome (STSS). This case report details the rapid deterioration of a previously healthy 49-year-old woman who presented with localized symptoms in her left thigh, later escalating to septic shock and multi-organ failure related to GAS infection. Initial evaluations indicated significant inflammation and acute kidney injury, prompting broad-spectrum antibiotic treatment.

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Aim: we investigated the effects of a 10 week training program (i.e., minute oscillatory stretching; MOS) on the mechanical responses and walking capability in people with type 2 diabetes (T2D).

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Work preservation is crucial for the reintegration of ex-prisoners and the prevention of recidivism. We describe the application of an interdisciplinary diagnostic protocol (occupational health visit, psychiatric interview, psychological counselling and testing) in the case of a dairy industry worker (female, 45-year-old), released on half-freedom after approximately a year of detention in prison for attempted murder. This crime can seriously hamper job resumption.

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Article Synopsis
  • - The study investigates the transferability of a Bayesian Belief Network (BBN) model designed to simulate monthly stream phosphorus concentrations, applying it to three different catchments with varying hydrology and land use to assess its predictive capabilities.
  • - The original BBN model showed strong performance in accurately simulating phosphorus and flow values in poorly and moderately drained catchments, but struggled in groundwater-dominated areas; modifications, like incorporating additional groundwater inputs, led to improved model accuracy.
  • - A sensitivity analysis allowed the identification of unnecessary variables, ultimately resulting in an enhanced BBN model that demonstrates better generalization and application across diverse catchments.
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