Publications by authors named "F R De Filippo"

Mass inflation is a well established instability, conventionally associated to Cauchy horizons (which are also inner trapping horizons) of stationary geometries, leading to a divergent exponential buildup of energy. We show here that finite (but often large) exponential buildups of energy are present for dynamical geometries describing accreting black holes with slowly evolving inner trapping horizons, even in the absence of Cauchy horizons. The explicit evaluation of the adiabatic conditions behind these exponential buildups shows that this phenomenon is universally present for physically reasonable accreting conditions.

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Purpose: Recurrent shoulder instability, a common musculoskeletal disorder, often involves glenoid bone loss and Hill-Sachs lesions. However, the optimal imaging modality for accurately and reliably quantifying bipolar bone loss remains uncertain. This systematic review aims to evaluate the accuracy and reliability of various imaging modalities in assessing bipolar bone loss in anterior shoulder instability.

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Article Synopsis
  • * The paper reviews recent deep learning (DL) techniques for PD analysis, utilizing data from wearable and non-wearable sensors, following PRISMA guidelines over a six-year research period.
  • * The findings highlight the use of convolutional neural networks and pose estimation networks for analyzing PD-related movements, while also discussing challenges and potential future solutions in the field.
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Mild cognitive impairment (MCI) and gait deficits are commonly associated with Parkinson's disease (PD). Early detection of MCI associated with Parkinson's disease (PD-MCI) and its biomarkers is critical to managing disability in PD patients, reducing caregiver burden and healthcare costs. Gait is considered a surrogate marker for cognitive decline in PD.

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The challenges posed by climate change and increasing world population are stimulating renewed efforts for improving the sustainability of animal production. To meet such challenges, the contribution of genomic selection approaches, in combination with assisted reproductive technologies (ARTs), to spreading and preserving animal genetics is essential. The largest increase in genetic gain can be achieved by shortening the generation interval.

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