Publications by authors named "D Di Mattia"

Background: The aim of the present study was to evaluate the effectiveness and safety of a nutraceutical combination given to insulin-resistant overweight patients with altered lipid profiles. To this end, an observational study was designed in which 74 individuals (50 females and 24 males) underwent an observational period of 3 months.

Methods: During this time, a specific nutraceutical combination containing myo-inositol, glycine, , α-lipoic acid, phlorizin, zinc, vitamin B, and chromium picolinate was administered.

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High-performance and sustainable membranes for water desalination applications are crucial to address the growing global demand for clean water. Concurrently, electrospinning has emerged as a versatile manufacturing method for fabricating nanofibrous membranes for membrane distillation. However, widespread adoption of electrospinning for processing water-insoluble polymers, such as fluoropolymers, is hindered by the reliance on hazardous organic solvents during production.

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The increase in anthropogenic activities has led to the release of numerous chemicals and pollutants into aquatic ecosystems, raising significant concerns for water quality and health. Among the emerging issues is the interaction between pollutants and nanomaterials (mixture effects). In this work, it was studied the combined toxicity of boron nitride nanosheets (BNNS) and cadmium (Cd) incorporating the influence of natural organic matter (NOM) to enhance ecological relevance for the first time.

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Article Synopsis
  • Treadmill-based Robotic-Assisted Gait Training (t-RAGT) enhances rehabilitation by using robots to help patients walk, but the role of physiotherapists and the type of feedback provided to patients needs further exploration.
  • This study examined the effects of different types of visual feedback (chart, emoticon, game) and levels of physiotherapist-patient interaction (low, medium, high) on patients' attention and emotional engagement using eye-tracking and EEG methods.
  • Results indicated that both the type of feedback and the level of interaction influenced patients' visual attention and emotional response, particularly regarding the therapist's involvement and the areas of interest monitored during the t-RAGT sessions.
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Brain-Computer Interfaces targeting post-stroke recovery of the upper limb employ mainly electroencephalography to decode movement-related brain activation. Recently hybrid systems including muscular activity were introduced. We compared the motor task discrimination abilities of three different features, namely event-related desynchronization/synchronization (ERD/ERS) and movement-related cortical potential (MRCP) as brain-derived features and cortico-muscular coherence (CMC) as a hybrid brain-muscle derived feature, elicited in 13 healthy subjects and 13 stroke patients during the execution/attempt of two simple hand motor tasks (finger extension and grasping) commonly employed in upper limb rehabilitation protocols.

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