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Università della Svizzera italiana

Discrimination of non-local correlations

Montina, Alberto ; Wolf, Stefan

In: Entropy, 2019, vol. 21, no. 2, p. 104

In view of the importance of quantum non-locality in cryptography, quantum computation, and communication complexity, it is crucial to decide whether a given correlation exhibits non-locality or not. As proved by Pitowski, this problem is NP- complete, and is thus computationally intractable unless NP is equal to P. In this paper, we first prove that the Euclidean distance of given...

Università della Svizzera italiana

A large scale, app-based behaviour change experiment persuading sustainable mobility patterns : methods, results and lessons learnt

Cellina, Francesca ; Bucher, Dominik ; Mangili, Francesca ; Veiga Simão, José ; Rudel, Roman ; Raubal, Martin

In: Sustainability, 2019, vol. 11, no. 9, p. 2674

The present urban transportation system, mostly tailored for cars, has long shown its limitations. In many urban areas, public transportation and soft mobility would be able to effectively satisfy many travel needs. However, they tend to be neglected, due to a deep-rooted car dependency. How can we encourage people to make sustainable mobility choices, reducing car use and the related CO 2...

Università della Svizzera italiana

Gaussian mean field regularizes by limiting learned information

Kunze, Julius ; Kirsch, Louis ; Ritter, Hippolyt ; Barber, David

In: Entropy, 2019, vol. 21, no. 8, p. 758

Variational inference with a factorized Gaussian posterior estimate is a widely-used approach for learning parameters and hidden variables. Empirically, a regularizing effect can be observed that is poorly understood. In this work, we show how mean field inference improves generalization by limiting mutual information between learned parameters and the data through noise. We quantify a...

Università della Svizzera italiana

Insights into the effect of the G245S single point mutation on the structure of p53 and the binding of the protein to DNA

Lepre, Marco Gaetano ; Omar, Sara Ibrahim ; Grasso, Gianvito ; Morbiducci, Umberto ; Deriu, Marco Agostino ; Tuszynski, Jack A.

In: Molecules, 2017, vol. 22, no. 8, p. 1358

The transcription factor p53 is a potent tumor suppressor dubbed as the “guardian of the genome” because of its ability to orchestrate protective biological outputs in response to a variety of oncogenic stresses. Mutation and thus inactivation of p53 can be found in 50% of human tumors. The majority are missense mutations located in the DNA binding region. Among them, G245S is known to be...

Università della Svizzera italiana

Conformational dynamics and stability of U-shaped and S-shaped amyloid β assemblies

Grasso, Gianvito ; Rebella, Martina ; Muscat, Stefano ; Morbiducci, Umberto ; Tuszynski, Jack ; Danani, Andrea ; Deriu, Marco A.

In: International journal of molecular sciences, 2018, vol. 19, no. 2, p. 571

Alzheimer’s disease is the most fatal neurodegenerative disorder characterized by the aggregation and deposition of Amyloid β (Aβ) oligomers in the brain of patients. Two principal variants of Aβ exist in humans: Aβ1–40 and Aβ1–42. The former is the most abundant in the plaques, while the latter is the most toxic species and forms fibrils more rapidly. Interestingly, fibrils of...

Università della Svizzera italiana

Functional validity of a judgment skills measure within the concept of health literacy for sleeping disorder patients

Dubowicz, Arthur ; Schulz, Peter J.

In: International journal of environmental research and public health, 2014, vol. 11, no. 10, p. 10868-10882

The concept of health literacy has been widened to include higher order aspects such as patient decision-making skills while its measurement continued to rely narrowly on reading and numeracy skills, known as functional health literacy. We developed a Judgment Skills measure, designed to assess patients’ ability to make appropriate decisions with regard to their condition. The measure...

Università della Svizzera italiana

A novel interaction between the TLR7 and a colchicine derivative revealed through a computational and experimental study

Gentile, Francesco ; Deriu, Marco A. ; Barakat, Khaled ; Danani, Andrea ; Tuszynski, Jack

In: Pharmaceuticals, 2018, vol. 11, no. 1, p. 22

The Toll-Like Receptor 7 (TLR7) is an endosomal membrane receptor involved in the innate immune system response. Its best-known small molecule activators are imidazoquinoline derivatives such as imiquimod (R-837) and resiquimod (R-848). Recently, an interaction between R-837 and the colchicine binding site of tubulin was reported. To investigate the possibility of an interaction between...

Università della Svizzera italiana

Consumer empowerment in the digital economy : availing sustainable purchasing decisions

Gazzola, Patrizia ; Colombo, Gianluca ; Pezzetti, Roberta ; Nicolescu, Luminita

In: Sustainability, 2017, vol. 9, no. 5, p. 693

The advent of the digital economy and, implicitly, of competition in the online marketplace has triggered new challenges in terms of consumer protection approaches. Online, consumer skills are expected to be improved and the level of consumer awareness and engagement increased. These are the baseline prerequisites of the sustainable purchasing decision and, thus, should be considered as pillars...

Università della Svizzera italiana

Bayesian dependence tests for continuous, binary and mixed continuous-binary variables

Benavoli, Alessio ; De Campos, Cassio P.

In: Entropy, 2016, vol. 18, no. 9, p. 326

Tests for dependence of continuous, discrete and mixed continuous-discrete variables are ubiquitous in science. The goal of this paper is to derive Bayesian alternatives to frequentist null hypothesis significance tests for dependence. In particular, we will present three Bayesian tests for dependence of binary, continuous and mixed variables. These tests are nonparametric and based on the...

Università della Svizzera italiana

Non-causal computation

Baumeler, Ämin ; Wolf, Stefan

In: Entropy, 2017, vol. 19, no. 7, p. 326-334

Computation models such as circuits describe sequences of computation steps that are carried out one after the other. In other words, algorithm design is traditionally subject to the restriction imposed by a fixed causal order. We address a novel computing paradigm beyond quantum computing, replacing this assumption by mere logical consistency: We study non-causal circuits, where a fixed time...