Publications by authors named "E M Martin De La Nava"

Nasalance is a valuable clinical biomarker for hypernasality. It is computed as the ratio of acoustic energy emitted through the nose to the total energy emitted through the mouth and nose (eNasalance). A new approach is proposed to compute nasalance using Convolutional Neural Networks (CNNs) trained with Mel-Frequency Cepstrum Coefficients (mfccNasalance).

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Introduction: Rheumatoid Arthritis (RA) is among the most prevalent chronic inflammatory diseases affecting millions of people with a significant expenditure of resources by National Healthcare Systems. This study aimed to analyze all available treatments exclusively for RA to highlight the costs of each treatment type and raise awareness of the use of biosimilar drugs.

Methods: In an Italian healthcare authority, all prescriptions made for the diagnosis of RA were extracted to verify consumption expressed in Defined Daily Dose (DDD) and the expenditure incurred expressed in euros.

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Emotional experiences deeply impact our bodily states, such as when we feel 'anger', our fists close and our face burns. Recent studies have shown that emotions can be mapped onto specific body areas, suggesting a possible role of the primary somatosensory system (S1) in emotion processing. To date, however, the causal role of S1 in emotion generation remains unclear.

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Designing surfaces that enable controlled presentation of multivalent ligand clusters (e.g., for rapid screening of biomolecular binding constants or design of artificial extracellular matrices) is a cross-cutting challenge in materials and interfacial chemistry.

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Emotions are commonly associated with bodily sensations, e.g., when overwhelmed with rage.

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