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Article: The matrix optimum filter for low temperature detectors dead-time reduction.

Borghesi, Matteo / Faverzani, Marco / Ferrari, Cecilia / Ferri, Elena / Giachero, Andrea / Nucciotti, Angelo / Origo, Luca

The European physical journal. C, Particles and fields

2022 Volume 82, Issue 5, Page(s) 421

Abstract: Experiments aiming at high sensitivities usually demand for a very high statistics in order to reach more precise measurements. However, for those exploiting Low Temperature Detectors (LTDs), a high source activity may represent a drawback, if the events ...

Abstract	Experiments aiming at high sensitivities usually demand for a very high statistics in order to reach more precise measurements. However, for those exploiting Low Temperature Detectors (LTDs), a high source activity may represent a drawback, if the events rate becomes comparable with the detector characteristic temporal response. Indeed, since commonly used optimum filtering approaches can only process LTDs signals well isolated in time, a non-negligible part of the recorded experimental data-set is discarded and hence constitute the
Language	English
Publishing date	2022-05-10
Publishing country	France
Document type	Journal Article
ZDB-ID	1459069-4
ISSN	1434-6052 ; 1434-6044
ISSN (online)	1434-6052
ISSN	1434-6044
DOI	10.1140/epjc/s10052-022-10379-w
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Article ; Online: Conversational Therapy through Semi-Immersive Virtual Reality Environments for Language Recovery and Psychological Well-Being in Post Stroke Aphasia.

Giachero, A / Calati, M / Pia, L / La Vista, L / Molo, M / Rugiero, C / Fornaro, C / Marangolo, P

Behavioural neurology

2020 Volume 2020, Page(s) 2846046

Abstract: Aphasia is a highly disabling acquired language disorder generally caused by a left-lateralized brain damage. Even if traditional therapies have been shown to induce an adequate clinical improvement, a large percentage of patients are left with some ... ...

Abstract	Aphasia is a highly disabling acquired language disorder generally caused by a left-lateralized brain damage. Even if traditional therapies have been shown to induce an adequate clinical improvement, a large percentage of patients are left with some degree of language impairments. Therefore, new approaches to common speech therapies are urgently needed in order to maximize the recovery from aphasia. The recent application of virtual reality (VR) to aphasia rehabilitation has already evidenced its usefulness in promoting a more pragmatically oriented treatment than conventional therapies (CT). In the present study, thirty-six chronic persons with aphasia (PWA) were randomly assigned to two groups. The VR group underwent conversational therapy during VR everyday life setting observation, while the control group was trained in a conventional setting without VR support. All patients were extensively tested through a neuropsychological battery which included not only measures for language skills and communication efficacy but also self-esteem and quality of life questionnairies. All patients were trained through a conversational approach by a speech therapist twice a week for six months (total 48 sessions). After the treatment, no significant differences among groups were found in the different measures. However, the amount of improvement in the different areas was distributed over far more cognitive and psychological aspects in the VR group than in the control group. Indeed, the within-group comparisons showed a significant enhancement in different language tasks (i.e., oral comprehension, repetition, and written language) only in the VR group. Significant gains, after the treatment, were also found, in the VR group, in different psychological dimensions (i.e., self-esteem and emotional and mood state). Given the importance of these aspects for aphasia recovery, we believe that our results add to previous evidence which points to the ecological validity and feasibility of VR treatment for language recovery and psychosocial well-being.
MeSH term(s)	Aphasia/therapy ; Communication ; Humans ; Quality of Life ; Stroke ; Stroke Rehabilitation ; Virtual Reality
Language	English
Publishing date	2020-08-06
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1001896-7
ISSN	1875-8584 ; 0953-4180
ISSN (online)	1875-8584
ISSN	0953-4180
DOI	10.1155/2020/2846046
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Article: Does COVID-19 Impact Less on Post-stroke Aphasia? This Is Not the Case.

Pisano, Francesca / Giachero, Alberto / Rugiero, Cristian / Calati, Melanie / Marangolo, Paola

Frontiers in psychology

2020 Volume 11, Page(s) 564717

Abstract: Background: The coronavirus disease 2019 (COVID-19) pandemic has greatly affected people's mental health resulting in severe psychological consequences. One of the leading causes of long-term disability worldwide is aphasia. The language changes ... ...

Abstract	Background: The coronavirus disease 2019 (COVID-19) pandemic has greatly affected people's mental health resulting in severe psychological consequences. One of the leading causes of long-term disability worldwide is aphasia. The language changes experienced by a person with aphasia (PWA) often have a sudden and long-lasting negative impact on social interaction, quality of life, and emotional wellbeing. The main aim of this study was to investigate the impact of COVID-19 on the different psychosocial dimensions which affect PWA. Methods: This retrospective study included 73 PWA and 81 elderly matched controls. All patients were in the chronic phase. They were all discharged from rehabilitation services, which left them with different degrees of language deficits (i.e., severe vs. mild vs. moderate). All participants were administered the hospital anxiety and depression scale (HADS) through an online survey. PWA also took part in the stroke and aphasia quality of life scale questionnaire (SAQOL-39). Results: Although the comparison between two different time points [one month before (T0) and one month after the lockdown (T1)] led to a significant increase in depression and anxiety symptoms in both groups (PWA vs. control), lower rates of depression and anxiety were found in PWA compared to the healthy group. Significant deterioration was also present in PWA in the communication and psychosocial scales of the SAQOL-39 test, which correlated with the observed changes in the psychological domains. Interestingly, the results were not significantly influenced by the degree of aphasia severity. Similarly, in both groups, none of the demographic variables (gender, age, and educational level) significantly affected the scores in the different subscales. Conclusions: This evidence which, at first glance, seems to suggest that PWA have been partially spared from the impact of COVID-19, actually masks a dramatic situation that has always characterized this population. Indeed, given that PWA already live in a state of social isolation and emotional instability, these conditions might have, paradoxically, limited the effects of the coronavirus. However, as our results showed a deterioration in the emotional state and communication skills of our patients, possible solutions are discussed in order to prevent further decline of their cognitive abilities.
Language	English
Publishing date	2020-11-30
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2563826-9
ISSN	1664-1078
ISSN	1664-1078
DOI	10.3389/fpsyg.2020.564717
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Book ; Online: Assessment of few-hits machine learning classification algorithms for low energy physics in liquid argon detectors

Biassoni, Matteo / Giachero, Andrea / Grossi, Michele / Guffanti, Daniele / Labranca, Danilo / Moretti, Roberto / Rossi, Marco / Terranova, Francesco / Vallecorsa, Sofia

2023

Abstract: The physics potential of massive liquid argon TPCs in the low-energy regime is still to be fully reaped because few-hits events encode information that can hardly be exploited by conventional classification algorithms. Machine learning (ML) techniques ... ...

Abstract	The physics potential of massive liquid argon TPCs in the low-energy regime is still to be fully reaped because few-hits events encode information that can hardly be exploited by conventional classification algorithms. Machine learning (ML) techniques give their best in these types of classification problems. In this paper, we evaluate their performance against conventional (deterministic) algorithms. We demonstrate that both Convolutional Neural Networks (CNN) and Transformer-Encoder methods outperform deterministic algorithms in one of the most challenging classification problems of low-energy physics (single- versus double-beta events). We discuss the advantages and pitfalls of Transformer-Encoder methods versus CNN and employ these methods to optimize the detector parameters, with an emphasis on the DUNE Phase II detectors ("Module of Opportunity").
Keywords	Physics - Instrumentation and Detectors ; Computer Science - Machine Learning ; Physics - Data Analysis ; Statistics and Probability
Subject code	006
Publishing date	2023-05-16
Publishing country	us
Document type	Book ; Online
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Article ; Online: Screening dysphagia risk in 534 older patients undergoing rehabilitation after total joint replacement: a cross-sectional study.

de Sire, Alessandro / Giachero, Alice / DE Santi, Shara / Inglese, Katia / Solaro, Claudio

European journal of physical and rehabilitation medicine

2020 Volume 57, Issue 1, Page(s) 131–136

Abstract: Background: Older people affected by severe osteoarthritis could need to undergo total joint replacement, with a consequent hospitalization and rehabilitation. In this postacute phase, they might suffer from other symptoms, including dysphagia, defined ... ...

Abstract	Background: Older people affected by severe osteoarthritis could need to undergo total joint replacement, with a consequent hospitalization and rehabilitation. In this postacute phase, they might suffer from other symptoms, including dysphagia, defined as a dysfunction of the digestive system, characterized by an objective difficulty or a sensation of difficulty in swallowing. It is considered as a very challenging problem in older people and early detection is fundamental for a prompt and effective management. However, up to date, there is a lack of data on dysphagia risk screening in orthopedic rehabilitation inpatients. Aim: The aim of this study was to evaluate dysphagia risk through Eating Assessment Tool (EAT-10) in older people undergoing rehabilitation after total hip or knee arthroplasty. Design: Cross-sectional study. Setting: Rehabilitation Unit. Population: All consecutive patients undergone total hip or knee arthroplasty, aged ≥65 years, referring to Orthopedics Rehabilitation Unit "Mons. Luigi Novarese" Hospital, Moncrivello, Italy, for a 24-month period (from 1 Methods: Dysphagia risk was assessed through EAT-10. The cohort was divided into two groups, according to water swallowing test (WST), in order to evaluate differences in terms of different EAT-10 scores. Furthermore, based on pathological WST, we have stratified study participants by the American Speech-Language-Hearing Association (ASHA)'s National Outcomes Measurement System (NOMS) swallowing scale in order to evaluate differences in terms of the different EAT-10 scores. Results: We included 534 participants (180 men, 357 women), mean aged 74.8±5.6 years. Thirty-one patients (5.8%) had pathological WST and 34 (6.4%) reported EAT-10 ≥3. There were significant differences (P<0.001) between groups (pathological WST vs. normal WST) in terms of all EAT-10 total scores. EAT-10 reported a high specificity (96.8% if ≥3 and 98.4% if ≥4), but a low sensitivity (58.1% if ≥3 and 54.8% if ≥4). Conclusions: EAT-10 might be considered as useful screening tools for dysphagia in older people, considering the high specificity of EAT-10≥4. Clinical rehabilitation impact: Screening dysphagia risk should be recommended also in patients undergoing rehabilitation in order to set up an early diagnosis and management.
MeSH term(s)	Aged ; Aged, 80 and over ; Arthroplasty, Replacement, Hip/rehabilitation ; Arthroplasty, Replacement, Knee/rehabilitation ; Cross-Sectional Studies ; Deglutition Disorders/diagnosis ; Female ; Humans ; Male ; Mass Screening/methods ; Risk Factors
Language	English
Publishing date	2020-06-26
Publishing country	Italy
Document type	Journal Article
ZDB-ID	2426908-6
ISSN	1973-9095 ; 1973-9087
ISSN (online)	1973-9095
ISSN	1973-9087
DOI	10.23736/S1973-9087.20.06321-2
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Article: Algorithms for Identification of Nearly-Coincident Events in Calorimetric Sensors.

Alpert, B / Ferri, E / Bennett, D / Faverzani, M / Fowler, J / Giachero, A / Hays-Wehle, J / Maino, M / Nucciotti, A / Puiu, A / Swetz, D / Ullom, J

Journal of low temperature physics

2020 Volume 184

Abstract: For experiments with high arrival rates, reliable identification of nearly-coincident events can be crucial. For calorimetric measurements to directly measure the neutrino mass such as HOLMES, unidentified pulse pile-ups are expected to be a leading ... ...

Abstract	For experiments with high arrival rates, reliable identification of nearly-coincident events can be crucial. For calorimetric measurements to directly measure the neutrino mass such as HOLMES, unidentified pulse pile-ups are expected to be a leading source of experimental error. Although Wiener filtering can be used to recognize pile-up, it suffers errors due to pulse-shape variation from detector nonlinearity, readout dependence on sub-sample arrival times, and stability issues from the ill-posed deconvolution problem of recovering Dirac delta-functions from smooth data. Due to these factors, we have developed a processing method that exploits singular value decomposition to (1) separate single-pulse records from piled-up records in training data and (2) construct a model of single-pulse records that accounts for varying pulse shape with amplitude, arrival time, and baseline level, suitable for detecting nearly-coincident events. We show that the resulting processing advances can reduce the required performance specifications of the detectors and readout system or, equivalently, enable larger sensor arrays and better constraints on the neutrino mass.
Language	English
Publishing date	2020-10-21
Publishing country	United States
Document type	Journal Article
ZDB-ID	2016984-X
ISSN	1573-7357 ; 0022-2291
ISSN (online)	1573-7357
ISSN	0022-2291
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Article: Procedural Learning through Action Observation: Preliminary Evidence from Virtual Gardening Activity in Intellectual Disability.

Giachero, Alberto / Quadrini, Agnese / Pisano, Francesca / Calati, Melanie / Rugiero, Cristian / Ferrero, Laura / Pia, Lorenzo / Marangolo, Paola

Brain sciences

2021 Volume 11, Issue 6

Abstract: Intellectual disability (ID) compromises intellectual and adaptive functioning. People with an ID show difficulty with procedural skills, with loss of autonomy in daily life. From an embodiment perspective, observation of action promotes motor skill ... ...

Abstract	Intellectual disability (ID) compromises intellectual and adaptive functioning. People with an ID show difficulty with procedural skills, with loss of autonomy in daily life. From an embodiment perspective, observation of action promotes motor skill learning. Among promising technologies, virtual reality (VR) offers the possibility of engaging the sensorimotor system, thus, improving cognitive functions and adaptive capacities. Indeed, VR can be used as sensorimotor feedback, which enhances procedural learning. In the present study, fourteen subjects with an ID underwent progressive steps training combined with VR aimed at learning gardening procedures. All participants were trained twice a week for fourteen weeks (total 28 sessions). Participants were first recorded while sowing zucchini, then they were asked to observe a virtual video which showed the correct procedure. Next, they were presented with their previous recordings, and they were asked to pay attention and to comment on the errors made. At the end of the treatment, the results showed that all participants were able to correctly garden in a real environment. Interestingly, action observation facilitated, not only procedural skills, but also specific cognitive abilities. This evidence emphasizes, for the first time, that action observation combined with VR improves procedural learning in ID.
Language	English
Publishing date	2021-06-09
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2651993-8
ISSN	2076-3425
ISSN	2076-3425
DOI	10.3390/brainsci11060766
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Article ; Online: Using Body Ownership to Modulate the Motor System in Stroke Patients.

Tambone, Riccardo / Giachero, Alberto / Calati, Melanie / Molo, Maria Teresa / Burin, Dalila / Pyasik, Maria / Cabria, Francesca / Pia, Lorenzo

Psychological science

2021 Volume 32, Issue 5, Page(s) 655–667

Abstract: Recent findings suggest that body ownership can activate the motor system in the absence of movement execution. Here, we investigated whether such a process promotes motor recovery in stroke patients. A group of patients with left-hemisphere damage ( ...

Abstract	Recent findings suggest that body ownership can activate the motor system in the absence of movement execution. Here, we investigated whether such a process promotes motor recovery in stroke patients. A group of patients with left-hemisphere damage (
MeSH term(s)	Humans ; Illusions ; Ownership ; Stroke ; Virtual Reality ; Walking
Language	English
Publishing date	2021-04-07
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2022256-7
ISSN	1467-9280 ; 0956-7976
ISSN (online)	1467-9280
ISSN	0956-7976
DOI	10.1177/0956797620975774
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Book ; Online: First design of a superconducting qubit for the QUB-IT experiment

Labranca, Danilo / Corti, Hervè Atsè / Banchi, Leonardo / Cidronali, Alessandro / Felicetti, Simone / Gatti, Claudio / Giachero, Andrea / Nucciotti, Angelo

2022

Abstract: Quantum sensing is a rapidly growing field of research which is already improving sensitivity in fundamental physics experiments. The ability to control quantum devices to measure physical quantities received a major boost from superconducting qubits and ...

Abstract	Quantum sensing is a rapidly growing field of research which is already improving sensitivity in fundamental physics experiments. The ability to control quantum devices to measure physical quantities received a major boost from superconducting qubits and the improved capacity in engineering and fabricating this type of devices. The goal of the QUB-IT project is to realize an itinerant single-photon counter exploiting Quantum Non Demolition (QND) measurements and entangled qubits, in order to surpass current devices in terms of efficiency and low dark-count rates. Such a detector has direct applications in Axion dark-matter experiments (such as QUAX[1]), which require the photon to travel along a transmission line before being measured. In this contribution we present the design and simulation of the first superconducting device consisting of a transmon qubit coupled to a resonator using Qiskit-Metal (IBM). Exploiting the Energy Participation Ratio (EPR) simulation we were able to extract the circuit Hamiltonian parameters, such as resonant frequencies, anharmonicity and qubit-resonator couplings.
Keywords	Quantum Physics ; Physics - Instrumentation and Detectors
Subject code	621
Publishing date	2022-07-18
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: High kinetic inductance NbTiN films for quantum limited travelling wave parametric amplifiers

Mantegazzini, Federica / Ahrens, Felix / Borghesi, Matteo / Falferi, Paolo / Fasolo, Luca / Faverzani, Marco / Ferri, Elena / Labranca, Danilo / Margesin, Benno / Mezzena, Renato / Moretti, Roberto / Nucciotti, Angelo / Origo, Luca / Vinante, Andrea / Zannoni, Mario / Giachero, Andrea

2023

Abstract: A wide-bandwidth and low-noise amplification chain in the microwave regime is crucial for the efficient read-out of quantum systems based on superconducting detectors, such as Microwave Kinetic Inductance Detectors (MKIDs), Transition Edge Sensors (TESs), ...

Abstract	A wide-bandwidth and low-noise amplification chain in the microwave regime is crucial for the efficient read-out of quantum systems based on superconducting detectors, such as Microwave Kinetic Inductance Detectors (MKIDs), Transition Edge Sensors (TESs), Magnetic Microcalorimeters (MMCs), and RF cavities, as well as qubits. Kinetic Inductance Travelling Wave Parametric Amplifiers (KI-TWPAs) operated in a three-wave mixing fashion have demonstrated exceptional dynamic range and low-noise performance, approaching the quantum limit. These amplifiers can be fabricated using a single layer of a high kinetic inductance film as weakly dispersive artificial transmission lines, with the ability to control the phase-matched bandwidth through dispersion engineering. In this study, we present the optimisation of the rf sputter-deposition process of NbTiN films using a Nb80%T20 target, with the goal of achieving precise control over film characteristics, resulting in high kinetic inductance while maintaining a high transition temperature. The parameter landscape related to the different sputtering conditions, such as pressure, power, and nitrogen flow, has been explored and the film thickness has been used as a fine-tuning parameter to adjust the properties of the final NbTiN films used for the fabrication of KI-TWPAs. As a final result, we have obtained a NbTiN film with a kinetic inductance of 8.5 pH/sq which we have exploited to fabricate KI-TWPA prototype devices, showing promising amplification performance.
Keywords	Physics - Applied Physics ; Quantum Physics
Subject code	621
Publishing date	2023-10-17
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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