Publications by authors named "X Serra"

Introduction: Ant-iTNF treatment has been broadly linked with autoantibodies and autoimmune disorders development. After the clinical observation of aPTT (activated partial thromboplastin clotting time) prolongation in our cohort of IBD patients treated with anti-TNF, we sought to determine the presence of antiphospolipid antibodies in our population, along with antiphospholipid syndrome (APS) occurrence.

Methods: We included in the study 289 patients treated with anti-TNFα antibodies.

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In audiovisual contexts, different conventions determine the level at which background music is mixed into the final program, and sometimes, the mix renders the music to be practically or totally inaudible. From a perceptual point of view, the audibility of music is subject to auditory masking by other aural stimuli such as voice or additional sounds (e.g.

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Rumination syndrome is a functional disorder characterized by the involuntary regurgitation of recently swallowed food from the stomach into the mouth, from where it can be re-chewed or expelled. Clinically, it is characterized by repeated episodes of effortless food regurgitation. The most usual complaint is frequent vomiting.

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Article Synopsis
  • Pulmonary complications are the primary symptoms of COVID-19, with two distinct phenotypes identified: L-type (low elastance) and H-type (high elastance).
  • Each phenotype exhibits unique clinical presentations, pathophysiological mechanisms, pulmonary mechanics, and imaging results, requiring different treatment approaches.
  • A proposed management algorithm uses respiratory rate, oxygenation index, and lung ultrasound to help early identify patients needing intubation and improve monitoring of those with respiratory failure due to COVID-19.
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This research work evaluates the feasibility of a smartphone-based spectrometer (740-1070 nm) for salted minced meat composition diagnostics at industrial scale. A commercially available smartphone-based spectrometer and a benchtop NIR spectrometer (940-1700 nm) were used for acquiring 1312 spectra from meat samples stored at four different temperatures ranging from -14 °C to 25 °C. Thereafter, for each spectrometer, PLS and Random Forest regression models specific for each temperature and global models were created to predict the fat, moisture and protein contents.

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