Results 11 to 20 of about 1,430,196 (268)

An insight on psychiatric insight [PDF]

open access: yesEuropean Psychiatry, 2021
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
openaire   +2 more sources

Insight into the Neuron’s Insight [PDF]

open access: yesCell, 2019
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.
openaire   +3 more sources

Insights into insight [PDF]

open access: yes, 2021
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.
openaire   +2 more sources

Diagnóstico fractal de disfunción cardíaca severa. Dinámica fractal de la ramificación coronaria izquierda

open access: yesRevista Colombiana de Cardiología, 2012
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
doaj   +1 more source

Addressing Fast Changing Fashion Trends in Multi-Stage Recommender Systems

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2023
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
doaj   +1 more source

Collaboration in the time of COVID: a scientometric analysis of multidisciplinary SARS-CoV-2 research

open access: yesHumanities & Social Sciences Communications, 2021
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
doaj   +1 more source

MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks

open access: yesIEEE Access, 2020
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
doaj   +1 more source

Predicción de la relación marginal capital-producto para China: una aplicación de la caminata al azar probabilística

open access: yesCuadernos de Economía
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
doaj   +1 more source

COVID-19: is there a role for immunonutrition, particularly in the over 65s?

open access: yesBMJ Nutrition, Prevention & Health, 2020
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
doaj   +1 more source

Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems

open access: yesIEEE Access, 2022
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
doaj   +1 more source

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