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2022 has not been a good year for Facebook (Meta) so far. The stock price is plunging, the company is still under fire for the extent of misinformation on the platform, and the number of users are decreasing for the first time in the US. Marketing and technology analysts are speculating whether Facebook reached its peak and began losing the competition against other rising platforms like TikTok.Ye

Abstract in ItalianUn’accesa e radicale tensione nelle scienze cognitive è quella tra il cognitivismo e il cosiddetto approccio delle quattro E (Embodied, Enactive, Embedded e Extended). La mancanza di una riflessione aperta e sostanziale sul lavoro teorico ed empirico proposto dall’approccio opposto appare problematica da entrambe le parti. Il presente contributo analizza a fondo le evidenze empiIn philosophy and cognitive science, the tension between cognitivism and the 4E-Cognition approach is both deep and polarizing. A lack of serious engagement with the theoretical and empirical work generated by the opposing framework seems problematic on both sides. In this paper, we closely discuss data on early socio-cognitive development produced by an influential nativist current of thought in

Pretend play has been studied in great depth in the past four decades, yielding an increasingly rich body of evidence and conjectures about the evolutionary, cognitive, social and linguistic competence acquired by young children through make-believe activities. In the current work, we drew connections between symbolic play and early forms of infants’ humorous initiatives, such as clowning and teas

Objective: Obstetric anal sphincter injuries (OASIS) are severe complications to vaginal births with potential long-term consequences. Maternal origin has been proposed to affect the overall risk, but the association and underlying explanation are uncertain. The objective was to assess the association between maternal country of birth and OASIS. Methods: A Swedish nationwide cohort study including

This work proposes a stochastic variational deep kernel learning method for the data-driven discovery of low-dimensional dynamical models from high-dimensional noisy data. The framework is composed of an encoder that compresses high-dimensional measurements into low-dimensional state variables, and a latent dynamical model for the state variables that predicts the system evolution over time. The t

Structural health monitoring techniques aim at providing an automated solution to the threat of unsurveilled aging of structures that can have tremendous consequences in terms of fatalities, environmental pollution, and economic loss. To assess the state of damage of a complex structure, this paper proposes to fully characterize its behavior under multiple environmental and operational scenarios a

An energy-based a posteriori error bound is proposed for the physics-informed neural network solutions of elasticity problems. An admissible displacement-stress solution pair is obtained from a mixed form of physics-informed neural networks, and the proposed error bound is formulated as the constitutive relation error defined by the solution pair. Such an error estimator provides an upper bound of