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In order to achieve the second-order advantage, second-order data per sample is usually required, e.g., kinetic-spectrophotometric data. In this study, instead of monitoring the time evolution of spectra (and collecting ...

Small sample sizes in preclinical research limit the extraction of reliable knowledge and hinder translational progress. We propose genESOM, a generative artificial intelligence method based on emergent self‑organizing...

Abstract Upper-limb prosthesis users usually lack comprehensive feedback or touch. This significantly hinders their ability to interact with their environment and lead normal lives. This research involves the development...

ABSTRACT Among the different materials for bladder augmentation, porcine intestinal submucosa (SIS) is the most widely investigated and stands out for its ability as a cell scaffold. In this context, the ultrasound exami...

ABSTRACT Objective and Aims Deep vein thrombosis (DVT) is a potentially fatal disease that can be diagnosed with compression duplex ultrasound (CDUS). This study investigated the prevalence, anatomical distribution, and ...

The purpose of this article is to explain what factors, from the viewpoint of the Visegrad Group countries, were important determinants in outward FDI. Referring to the eclectic theory of Dunning and the theory of econom...

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...

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

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...

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...