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Este artículo se pregunta si "la educación técnica terciaria" ha contribuido a aumentar las oportunidades económicas y sociales para los jóvenes en América Latina, utilizando tres estudios de caso de Brasil, Colom...

En el curso de los últimos diez años, el dinamismo del movimiento sindical argentino se consiguió a través de, por un lado, la reafirmación del rol político de las direcciones sindicales y el aumento de la negociac...

Abstract The projected growth of global meat production over the next decade is attributed to rising income levels and population expansion. One potentially more pragmatic approach to mitigating the adverse externalities...

ABSTRACT This study examined acute vascular responses to three resistance training (RT) protocols differing in load and volume but matched for proximity to failure. Eleven adults (6 males and 5 females) performed three R...

Abstract Graph neural networks (GNNs) are widely used as surrogates for costly experiments and first-principles simulations to study the behavior of compounds at atomistic scale, and their architectural complexity is con...

Currently, much effort is devoted to improving the accuracy of Wi-Fi sensing. Despite the typically high density of modern Wi-Fi deployments, in many scenarios, the number of access points under control is limited, which...

O objetivo deste texto é a análise das relações e condições de trabalho nos canaviais, resultantes do processo de reconfiguração do trabalho, em face do momento atual, caracterizado pela intensificação do proce...

Deep learning is currently the state-of-the-art for automated detection of referable diabetic retinopathy (DR) from color fundus photographs (CFP). While the general interest is put on improving results through methodolo...

Adaptive systems behavior based on user models appear promising, mostly for complex environments such as mixed reality environments (MRE). An MRE comprises a virtual representation of the reality as well as physical obj...

L'élevage bovin laitier représente près de la moitié de la marge brute agricole des Asturies, et plus du 10% du quota laitier de l'Espagne. Il s'est produit durant les trente dernières années, un rapide processus d...

Introduction Assumptions EM and Inference by Data Augmentation Methods for Normal Data More on the Normal Model Methods for Categorical Data Loglinear Models Methods for Mixed Data Further Topics Appendices References In...

We propose a natural scene statistic-based distortion-generic blind/no-reference (NR) image quality assessment (IQA) model that operates in the spatial domain. The new model, dubbed blind/referenceless image spatial qual...

The way that information propagates in neural networks is of great importance. In this paper, we propose Path Aggregation Network (PANet) aiming at boosting information flow in proposal-based instance segmentation framew...

An approach for electronic structure calculations is described that generalizes both the pseudopotential method and the linear augmented-plane-wave (LAPW) method in a natural way. The method allows high-quality first-pri...

We study recently developed nonparametric methods for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome. These are simple rank-ba...

The k-means method is a widely used clustering technique that seeks to minimize the average squared distance between points in the same cluster. Although it offers no accuracy guarantees, its simplicity and speed are ver...

This study aimed to evaluate the performance of deep learning models for segmenting the augmented bone following transalveolar sinus floor elevation (TSFE). Cone-beam computed tomography (CBCT) data from 103 patients und...

Abstract Propulsion during push-off is the key to realizing human locomotion. Humans have evolved a way of walking with high energy utilization, but it can be further improved. Drawing inspiration from the muscle-tendon ...

Abstract The inherently low thermal conductivity of phase change materials (PCMs) stills a major limitation for their use in latent heat thermal energy storage (LHTES) units, as it significantly reduces the charging proc...

The current Intraperitoneal Underlay Mesh (IPUM), previously referred to as IPOM (onlay), initially faced several challenges due to design and methodological shortcomings, particularly with the use of a bridging techniqu...

Medical image prediction plays a very significant role in clinical decision-making and early detection and diagnosis of different diseases. However, the quality of medical images has a huge impact on the predictive model...

We tackle the challenging problem of single-source domain generalization (DG) for medical image segmentation, where we train a network on one domain (e.g., CT) and directly apply it to a different domain (e.g., MR) witho...

Se presenta un proyecto actualmente en desarrollo cuyo objetivo es la creación de un modelo de enriquecimiento de textos basado en la integración de recursos disponibles en el espacio web. El modelo propuesto pretende ...

Subjects / keywords: Long-term potentiation; Neuroscience; Postsynaptic potential; Neurotransmission; Post-tetanic potentiation; Hippocampus; Synaptic augmentation; Synaptic plasticity; Metaplasticity; Synaptic fatigue; Chemistry; Neuronal m...