In: Brain sciences, 2021, vol. 11, no. 6, p. 16
When COVID-19 was declared as a pandemic, many countries imposed severe lockdowns that changed families’ routines and negatively impacted on parents’ and children’s mental health. Several studies on families with children with autism spectrum disorder (ASD) revealed that lockdown increased the difficulties faced by individuals with ASD, as well as parental distress. No studies have...
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In: Brain sciences, 2020, vol. 10, no. 10, p. 22
Pediatric surveillance through screening procedures is needed to detect warning signs of risk for Autism Spectrum Disorder under 24 months of age and to promote early diagnosis and treatment. The main purpose of this study is to extend the literature regarding the psychometric properties of two screening tools, the First Year Inventory (FYI) and the Quantitative- CHecklist for Autism in Toddler...
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In: Journal of Neurology, 2021, no. 268, p. 817–824
Background: Data on cancer prevalence and incidence in multiple sclerosis (MS) patients are controversial. This study is aimed at estimating cancer risk in MS patients. Methods: Nested case–control study using data collected between 01/01/1987 and 28/02/2016 from the United Kingdom Clinical Practice Research Datalink. Cancer diagnoses after first MS code (index date) was counted in 10,204 MS...
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In: International journal of fashion design, technology and education, 2021, vol. 14, no. 3, p. 293-301
This paper focuses on the field of digital fashion and its development by providing an overview regarding fashion design and culture. It is part of a larger research that involved a literature review of 491 relevant papers. From the analysis of this corpus, three main categories were identified: Communication and Marketing, Design and Production and Culture and Society. This study focuses on...
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In: Journal of computational science, 2021, vol. 53, p. 13
The ℓ1-regularized Gaussian maximum likelihood method is a common approach for sparse precision matrix estimation, but one that poses a computational challenge for high-dimensional datasets. We present a novel ℓ1- regularized maximum likelihood method for performant large-scale sparse precision matrix estimation utilizing the block structures in the underlying computations. We identify the...
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In: European journal of neurology, 2021, vol. 28, no. 9, p. 9
Background and purpose: Fatigue is amongst the most frequent and disabling symptoms of multiple sclerosis and a close relation between fatigue and sleep quality has been hypothesized. In this study the contribution of sleep disturbances measured by clinical and polysomnographic parameters to fatigue in multiple sclerosis was investigated. Methods: This was a prospective instrumental study...
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Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021ARC004.
La presente ricerca indaga sul trasferimento di europei a Lima, tra gli anni Trenta e la fine degli anni Sessanta del Novecento, e si interroga sull’influenza di questo fenomeno sull’evoluzione architettonica e urbanistica nella capitale peruviana. La partecipazione di europei nella pianificazione della cosiddetta Ciudad de los Reyes, principale centro amministrativo per i territori del...
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In: International Journal on Software Tools for Technology Transfer, 2021, vol. 23, p. 883–893
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In: L'endocrinologo, 2021, vol. 22, no. 3, p. 225–230
L’esame strumentale più comunemente utilizzato per valutare il rischio di malignità del nodulo tiroideo è l’ecografia. Con questo esame è possibile individuare posizione, dimensioni e caratteristiche del nodulo. Dal momento che l’uso dei singoli aspetti ecografici di sospetto ha dimostrato una bassa riproducibilità nell’indicazione all’agoaspirato, nel corso degli ultimi anni...
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In: Empirical Software Engineering, 2020, vol. 25, no. 6, p. 5193–5254
Context: A Machine Learning based System (MLS) is a software system including one or more components that learn how to perform a task from a given data set. The increasing adoption of MLSs in safety critical domains such as autonomous driving, healthcare, and finance has fostered much attention towards the quality assurance of such systems. Despite the advances in software testing, MLSs bring...
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