Tind Technologies (Norway)
Hes-so: ArODES Open Archive (University of Applied Sciences and Arts Western Switzerland / Haute école spécialisée de Suisse occidentale / FH Westschweiz)Not a member yet
15764 research outputs found
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Hypergraph reconstruction from dynamics
No full textA plethora of methods have been developed in the past two decades to infer the underlying network structure of an interconnected system from its collective dynamics. However, methods capable of inferring nonpairwise interactions are only starting to appear. Here, we develop an inference algorithm based on sparse identification of nonlinear dynamics (SINDy) to reconstruct hypergraphs and simplicial complexes from time-series data. Our model-free method does not require information about node dynamics or coupling functions, making it applicable to complex systems that do not have a reliable mathematical description. We first benchmark the new method on synthetic data generated from Kuramoto and Lorenz dynamics. We then use it to infer the effective connectivity in the brain from resting-state EEG data, which reveals significant contributions from non-pairwise interactions in shaping the macroscopic brain dynamics
Recueil des besoins et processus d’idéation
No full textDans le cadre du programme Innovation Booster Technologie et Handicap (IBTH), des ateliers participatifs sont organisés afin de recueillir les besoins et, sur cette base, de concevoir de nouvelles idées à l’aide d’une approche de co-innovation. Les ateliers de recueil des besoins réunissent des personnes en situation de handicap (PSH), pour discuter de questions liées à l’accessibilité et à l’inclusion sociale. Les ateliers d’idéation qui suivent adoptent une approche créative afin de générer des solutions qui répondent aux besoins recueillis avec des personnes professionnelles, soignantes, scientifiques et toutes autres personnes intéressées. L’objectif de ces ateliers en deux étapes est de constituer des équipes de projet et de faire émerger des idées qui pourront être déposées et développées dans le cadre du programme IBTH. Ce texte met en lumière la méthodologie utilisée et résume les résultats des ateliers
Rethinking the assessment of arthrogenic muscle inhibition after ACL reconstruction: implications for return-to-sport decision-making—a narrative review
No full textArthrogenic muscle inhibition (AMI) is a neuromuscular impairment commonly observed following anterior cruciate ligament reconstruction (ACLR). This condition, characterized by persistent quadricep inhibition due to altered afferent feedback, significantly impacts neuromuscular recovery, delaying return to running and sport. Despite advancements in rehabilitation strategies, AMI may persist for months or even years after ACLR,
leading to muscle strength asymmetries, altered biomechanics, and an increased risk of reinjury. The mechanisms underlying AMI involve both peripheral (joint effusion, mechanoreceptor dysfunction) and central (corticospinal inhibition, neuroplasticity alterations) components, which collectively hinder voluntary muscle activation and movement
control. AMI alters gait mechanics, reduces knee stability, and promotes compensatory patterns that increase injury risk. Current return-to-sport protocols emphasize strength symmetry and functional performance but often neglect neuromuscular deficits. A comprehensive assessment integrating neuromuscular, biomechanical, and proprioceptive
evaluations is needed at specific stages to optimize rehabilitation and minimize reinjury risk. Future research should explore targeted interventions such as neuromuscular stimulation, cognitive–motor training, and advanced gait analysis to mitigate AMI’s impact and
facilitate a safer, more effective return to sport
En quête d'image ::Écritures sensibles en recherche-création
No full textUne réflexion épistémologique sur les formes sensibles d'écriture de la recherche à la croisée de l'art, du design, de l'anthropologie et de l'ergonomie, à partir de projets singuliers d'enquête-création.
Comment agencer des perspectives sociales et des formes sensibles ? À quelles conditions l'hybridation des pratiques artistiques et scientifiques est-elle fructueuse ? Comment collectiviser des pratiques de recherche-création ? Comment permettent-elles d'explorer / documenter / restituer des mondes en reconfiguration ? Comment activer des rencontres, bifurcations, expériences inédites par la recherche-création ?
Dans une visée de réflexion épistémologique sur les formes sensibles d'écriture de la recherche à la croisée de l'art, du design, de l'anthropologie et de l'ergonomie, cet ouvrage documente des projets singuliers d'enquête-création et dévoile leurs coulisses. Par l'observation et la description des actions, des protocoles, des formes et des dispositifs, il propose de faire émerger des fondements épistémologiques pour penser et produire des projets de recherche-création. Pour ce faire, il dessine aussi les contours d'une scène expérimentale faisant de la recherche par l'image une voie heuristique pour la production d'un savoir sensible.
L'ouvrage se clôt de manière ouverte par un abécédaire dont les termes invitent à effectuer des gestes, engager des protocoles et croiser des méthodes.
Pensé comme un manuel expérimental, le livre active l'exploration de diverses manières de faire la recherche-création
Long short-term-memory-based depth of anesthesia index computation for offline and real-time clinical application in pigs
No full textWe here present a deep-learning approach for computing depth of anesthesia (DoA) for pigs undergoing general anesthesia with propofol, integrated into a novel general anesthesia specialized MatLab-based graphical user interface (GAM-GUI) toolbox. This toolbox permits the collection of EEG signals from a BIOPAC MP160 device in real-time. They are analyzed using classical signal processing algorithms combined with pharmacokinetic and pharmacodynamic (PK/PD) predictions of anesthetic concentrations and their effects on DoA and the prediction of DoA using a novel deep learning-based algorithm. Integrating the DoA estimation algorithm into a supporting toolbox allows for the clinical validation of the prediction and its immediate application in veterinary practice. This novel, artificial-intelligence-driven, user-defined, open-access software tool offers a valuable resource for both researchers and clinicians in conducting EEG analysis in real-time and offline settings in pigs and, potentially, other animal species. Its open-source nature differentiates it from proprietary platforms like Sedline and BIS, providing greater flexibility and accessibility
A qualitative investigation of health care professionals’ perspectives on the implementation of a mindfulness meditation program in cancer care in Switzerland
No full textPurpose: To describe health care professionals’ (HCPs’) perceptions of the implementation of an online mindfulness-based cancer recovery (eMBCR) program in the gyneco-oncology departments of two university hospitals in Switzerland. Methods: The study analyzed determinants drawn from the Consolidated Framework for Implementation Research (CFIR) using a deductive, semantic, thematic approach. Five focus groups were conducted with HCPs and managers (12 nurses, 6 physicians, and 1 psycho-oncologist). Results: Most HCPs supported integrating mindfulness meditation into cancer care, although some physicians viewed it as an alternative approach with insufficient evidence. Key facilitators included the presence of a center for integrative medicine within hospitals and the engagement of leaders and champions. Barriers related to time constraints, human resources, materials, and training were mentioned. Suggested strategies for successful implementation included hybrid program delivery (online and in person), context-specific adaptations (e.g., dosage), and securing stable funding for sustainability. Conclusion: This study highlights multilevel factors influencing the implementation of a mindfulness meditation intervention in the context of cancer care and offers strategies to enhance its long-term integration within hospital settings
Mapping tourist destination networks based on hotel reservation data
No full textThis study examines the key properties of tourist destination networks. We constructed a network data set using a large collection of tourist trip data that contains 217,686 distinct trips taken by 200,153 tourists across 39,901 cities in 195 countries. Using the data set we mapped and simulated the tourist destination networks using three canonical network models, namely the Erdos–Rényi network, Watts–Strogatz network, and the Barabási–Albert network. We found that the destination networks exhibit long diameters, in contrast to many social and economic networks, but conform to the high clustering and scale-free properties. We found that none of the three network models can adequately capture the formation mechanisms of the destination networks; the destination networks share certain, but not all, of the properties of each of the three network models. Such inadequacy calls for developing new models to study the network formation of tourist destinations
L’évaluation clinique infirmière auprès des patients Covid-19 ::comparaison des pratiques domicile-hôpital
No full textCette étude examine l’impact des formations en évaluation clinique sur les pratiques des infirmières à Genève durant la pandémie de Covid-19. Les résultats révèlent que les professionnelles formées, principalement en milieu hospitalier, adoptent des techniques plus avancées, comme l’auscultation et la palpation. Les façons de faire varient significativement selon le lieu d’exercice et la formation reçue, soulignant l’importance de la formation continue pour améliorer la qualité des soins.This study examines the impact of clinical assessment training on nurses’ practices in Geneva during the Covid-19 pandemic. The results reveal that trained professionals, mainly in hospital settings, adopted more advanced techniques, such as auscultation and palpation. Practices varied significantly according to practice location and training received, underlining the importance of ongoing training to improve quality of care
