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Over the past decades, an increasingly influential Political Philosophy approach has been seen to defend issues relating to cultural injustices. The daily struggles arising from political agendas within different societi...

Frontotemporal Dementia (FTD) and amyotrophic lateral sclerosis (ALS) are two neurodegenerative diseases associated to mislocalization and aggregation of TAR DNA-binding protein 43 (TDP-43). To investigate in depth the b...

The interest in educational care for diversity is not new in the XXI century, since some decades ago interest in the subject has been fixed by observing many consequences of exclusion in different areas of people's lives...

Introduction . Cutaneous leiomyomas are rare, benign smooth muscle neoplasms of the skin. According to the origin of the tumor, there are three types of cutaneous leiomyomas: piloleiomyomas, angioleiomyomas and genital l...

El reconocimiento facial de emociones básicas (RFEB) se ha estudiado en la variante conductual de la demencia frontotemporal (DFTvc) y en la demencia tipo Alzheimer(DTA), con hallazgos contradictorios, especialmente al ...

Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. We explicitly reformulate the layers...

IMPORTANCE: Limited information exists about the epidemiology, recognition, management, and outcomes of patients with the acute respiratory distress syndrome (ARDS). OBJECTIVES: To evaluate intensive care unit (ICU) inci...

IMPORTANCE: Definitions of sepsis and septic shock were last revised in 2001. Considerable advances have since been made into the pathobiology (changes in organ function, morphology, cell biology, biochemistry, immunolog...

State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet [1] and Fast R-CNN [2] have reduced the running time of these detection networks, expo...

Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs enable learning data-driven, highly represen...

In this work, we revisit the global average pooling layer proposed in [13], and shed light on how it explicitly enables the convolutional neural network (CNN) to have remarkable localization ability despite being trained...