Results 11 to 20 of about 1,430,196 (268)
An insight on psychiatric insight [PDF]
Introduction Insight is a complex and multidimensional phenomenon. Metacognition, awareness of illness or anosognosia are some of the terms used to designate this feature of the mental state exam. Objectives To attempt to explore the ...
T. Coelho Rocha +3 more
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Insight into the Neuron’s Insight [PDF]
In this issue, Ponce and colleagues use a generative closed-loop system to evolve synthetic images to explore the response properties of neurons in the inferior temporal cortex of non-human primates. The results reveal an unbiased assessment of feature selectivity in a high-level visual area involved in object recognition.
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Many people with non-congenital brain damage (NCBD) experience physical, cognitive or emotional difficulties even years after sustaining the disorder. Some of them have a reduced ability to assess their strengths and weaknesses and to estimate the current and future effects of the brain damage on their daily life.
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la geometría fractal evalúa la irregularidad de los objetos naturales, permitiendo caracterizar de forma imparcial la totalidad de la ramificación coronaria izquierda a diferencia de la metodología actual que evalúa únicamente partes de ésta. Con base en
Javier O. Rodríguez, MD +8 more
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Addressing Fast Changing Fashion Trends in Multi-Stage Recommender Systems
Fashion industry is driven by fashion cycles, in which a fashion item is launched, rises to mainstream appeal and becomes a trend, then diminishes and eventually becomes obsolete. These properties make it critical to incorporate temporal information when
Aayush Singha Roy +3 more
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The novel coronavirus SARS-CoV-2 and the COVID-19 illness it causes have inspired unprecedented levels of multidisciplinary research in an effort to address a generational public health challenge. In this work we conduct a scientometric analysis of COVID-
Eoghan Cunningham +2 more
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MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks
Neural network-based recommendation algorithms have become the state-of-the-art in recommender systems and can achieve very high predictive accuracy. However, these models are usually considered as black boxes in terms of their interpretability due to ...
Makbule Gulcin Ozsoy +6 more
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Este artículo implementa la metodología de la caminata al azar probabilista para predecir la relación marginal capital producto del modelo de Harrod, y con ello realizar predicciones de la tasa de crecimiento de la economía de China a partir de la base ...
José Reyes Bernal-Bellón +4 more
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COVID-19: is there a role for immunonutrition, particularly in the over 65s?
In late December 2019 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) first emerged in Wuhan, Hubei, China, resulting in the potentially fatal COVID-19. It went on to be officially recognised as a pandemic by the World Health Organisation on
Emma Derbyshire, Joanne Delange
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Despite many recent advances, state-of-the-art recommender systems still struggle to achieve good performance with sparse datasets. To address the sparsity issue, transfer learning techniques have been investigated for recommender systems, but they tend ...
Qinqin Wang +6 more
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