University of Milano-Bicocca Showcase

The present superoxo_complexes.tar.gz file contains the optimized structures of the end_on and side_on oxygen complexes on TM@4N-Gr at the PBE or PBE+U level of theory.

This dataset contains a set of data related to the characterization of the 2-photon polymerized microstructures for the IN2SIGHT project. Mostly, they are supplementary data for publications.

This folder contains documents related to the regulatory plan (folder: Regulatory plan, D.5.1), to the Risk managament plan (folder: Risk Management, D1.1) and to the data management plan (folder: data management plan, D7.1). Update from Version 3 is the addition of the Annex 1 to the DMP that contains the indications for the data storage of digital pathology data.

This set of communication tools is indicated for understanding the needs of locked-in (LIS) patients unable to speak or communicate through verbal, sign, or body language, and is ideal for communicating through Brain Computer Interface (with the P300 paradigm, speller, machine learning, EEG/ERP classification, eye tracking). It comprises 60 validated, easily comprehensible, pictorial tables depicting adult persons in various contexts that affect their physiological or psychological state. Their motivational states are illustrated in a small cloud. The drawings are in color and representative of both sexes and various ethnicity. THIS MATERIAL CAN BE FREELY USED FOR RESEARCH OR CLINICAL PURPOSES, PROVIDED THAT APPROPRIATE CREDIT IS GIVEN TO THE SOURCE. Proverbio, A.M., Pischedda, F. (2022). Validation of a Pictionary-based communication tool for assessing individual needs and motivational states in locked-in patients (P.A.I.N. set). Terms and conditions: This material cannot be used for commercial purposes. Therefore it cannot be transferred to technological devices of any type and be sold. This material cannot be placed in any internet web site nor can it be provided to profit making companies, or to the media (television, journals). To request the PAIN set for clinical use, or for non-profit academic research purposes, write to mado.proverbio@unimib.itWe do not accept requests directly from students, nor do we accept any requests from students on behalf of their advisor. Students should ask their faculty advisor to make the request.

The present tar.gz files contain the optimized structures of TM bound to N-doped graphene and to a Carbon double vacancy in graphene, TM@4N-Gr.tar.gz, and TM@DV-Gr.tar.gz, respectively.

In this study, ERPs were recorded in a group of 26 healthy male and female students engaged in recognizing 6 facial expressions of people wearing or not wearing surgical masks. Faces were preceded by the visual presentation of emotion prime words that were congruent or incongruent with the facial expression. The data of this collection are grand-average waveforms of Event-Related potentials (ERPs) recorded in healthy right-handed humans from 128 electrode sites at 512 Hz of sampling rate. The time epoch is 800 ms. ERP data were processed in two different ways: i) considering all EEG trials, or ii) only that not associated with an incorrect response. However, due to the largely uneven error rate across conditions (e.g., for masked faces or subtle emotions) ranging from 3.22 to 55.66%, the second method was considered unsound from the methodological point of view, and the more conservative and rigorous approach was preferred. Differences across conditions (masked vs. unmasked) were in fact larger when considering only correct responses. It should be noted that ERPs computed on the correct recognitions mostly contained signals reflecting the processing of easier to recognize stimuli (e.g. happy unmasked faces).

We implement an algorithm for the computation of Schouten bracket of weakly nonlocal Hamiltonian operators in three different computer algebra systems: Maple, Reduce and Mathematica. This class of Hamiltonian operators encompass almost all the examples coming from the theory of (1+1)-integrable evolutionary PDEs.

Grand-average ERP waveforms recorded during mental imagery and perception of visual and auditory stimuli in a large group of healthy right-handed participants. Visual and auditory stimuli representing biologically relevant categories (e.g., faces, animals, voices…) were presented to 30 participants during a perceptual and an imagery condition, to collect the corresponding neural electrical signals. Unprecedented electro-physiological markers of imagery (in absence of sensory stimulation) were identified showing a specific response at given scalp sites and latency during imagination of infants (centroparietal positivity, CPP and late CPP), human faces (anterior negativity, AN), animals (anterior positivity, AP), music (P300), speech (N400), vocalizations (P2-like) and sensory (visual vs. auditory) modality (PN300). These ERP markers might be precious tools for BCI systems (pattern recognition, classification or A.I. algorithms) applied to patients affected by consciousness disorders (e.g., in a vegetative or comatose state) or locked-in-patients (e.g. spinal or SLA patients).

The dataset here included is related to the research project “Improvising enhances anticipatory skills. A comparison between jazz and classical musicians”, approved by the ethical committee of the University of Milan-Bicocca (RM_2016_78). It includes performances of 2 different groups of musicians (classical and jazz) and a control group of nonmusician participants at an auditory and visual Anticipation Task. 3 conditions of the task are included for each modality (Rhythm 1 = unstressed condition, Rhythm 2 = stressed condition, and Rhythm 5 = unpredictable condition). Each condition includes 10 trials that are reported in 10 columns for each participant. Performances at the Purdue Pegboard Battery (Tiffin, 1999) and at the discrimination of rhythm task (here expressed in dprime scores) are also included for all the participants. The last columns included report the average scores and standard deviations of the anticipation task's trials.