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Could a Short Incremental Test Be a Valid Cardiorespiratory Efficiency Assessment Tool in Obese Adults? A Comparison between Two Exercise Testing Protocols
No full textMetabolic and biomechanical differences in response to cadence and road gradient variations during submaximal cycling: A pilot 2×2 factorial study
No full textInertial Sensing for Human Motion Analysis: Enabling Sensor-to-Body Calibration Through an Anatomical and Functional Combined Approach
No full textThe use of inertial measurement units is gaining attention to estimate human joint kinematics. However, to obtain clinically meaningful results, sensor frame needs to be aligned with the underlying anatomical one. Although during the years different approaches have been proposed, a common consensus has not been reached. Further, inertial sensor positioning on human segments can affect frame definition and kinematics estimation. Thus, the aim of the present work is to define an anatomical calibration procedure for lower limb joints kinematics, robust with respect to sensor misalignment, and based on a limited set of movements, with static and functional assumptions. To this purpose, straight walking and turning motor tasks in six healthy subjects were considered, and results were compared with those provided by an optoelectronic system. Three sensor placements have been also evaluated to test the procedure with respect to sensor positioning. After offset removal, an average RMSE ≤2.5 deg in gait, and ≤2 deg in turning for all the configurations were obtained, outperforming results from previous approaches. Average offset values resulted about 6 deg for hip and ankle, whereas negligible for the knee. Outcomes of this study enable a simple and accurate measurement of clinically meaningful joints kinematics, also without a strict sensor placement
Osservatorio Corte europea dei diritti dell'uomo (Convenzionalmente legittima la testimonianza di un soggetto coperto da immunità garantitagli dall’accusa + Inadeguatezza della tutela giuridica apprestata dall’ordinamento rumeno rispetto alla pubblicazione non consensuale di immagini private online + Non si viola l’equità processuale se in sede di legittimità si ribalta (legittimamente, s’intende) l’assoluzione pronunciata nei precedenti gradi di merito + Lo sciopero non correlato a propri interessi si pone al di fuori dell’area di tutela riconosciuta in forza della libertà sindacale + Perquisizione e sequestro illegittimi in un’indagine parlamentare su infiltrazioni mafiose nelle logge massoniche)
No full textGiurisprudenza Corte ED
Una questione non soltanto generazionale. Storia sociale dell’animazione giapponese in Italia (1978-1983)
No full textThe article aims to examine the consumption of Japanese animated drawing in Italy from the end of the Seventies and the early Eighties. The viewing of Japanese animation is a direct and clear consequence of the particular social, cultural, medial and technological situation of historical time period on which our analysis is focused.
To be precise, this analysis tries to piece together, although in broad terms, the history of consumption of the Japanese animated drawing in Italy underlining that the phenomenon is mainly about the young persons (as the researchers often maintain) but also a larger audience, whose collective imagination is influenced in depth
Decoding Childhood Decision-Making: the Role of Mentalization, Personality Traits, and Empathy in School-Age Children
No full text
Balancing Ethics and Innovation: Can Artificial Intelligence Safely Transform Emergency Surgery? A Narrative Perspective
No full text: Background: Artificial intelligence (AI) is increasingly shaping the landscape of emergency surgery by offering real-time decision support, enhancing diagnostic accuracy, and optimizing workflows. However, its implementation raises significant ethical concerns, particularly regarding accountability, transparency, patient autonomy, and bias. Objective: This perspective paper, grounded in a narrative review, explores the ethical dilemmas associated with AI in emergency surgery and proposes future directions for its responsible and equitable integration. Methods: A comprehensive narrative review was conducted using PubMed, Scopus, Web of Science, and Google Scholar, covering the literature published from January 2010 to December 2024. We focused on peer-reviewed articles discussing AI in surgical or emergency care and highlighting ethical, legal, or regulatory issues. A thematic analysis was used to synthesize the main ethical challenges. Results: Key ethical concerns identified include issues of accountability in AI-assisted decision-making, the "black box" effect and bias in algorithmic design, data privacy and protection, and the lack of global regulatory coherence. Thematic domains were developed around autonomy, beneficence, justice, transparency, and informed consent. Conclusions: Responsible AI implementation in emergency surgery requires transparent and explainable models, diverse and representative datasets, robust consent frameworks, and clear guidelines for liability and oversight. Interdisciplinary collaboration is essential to align technological innovation with patient-centered and ethically sound clinical practice
