Predictive habitat model for deep gorgonians needs better resolution: Reply to Etnoyer & Morgan

A Deep Model for Super-resolution Enhancement from a Single Image

This study presents a method to reconstruct a high-resolution image using a deep convolution neural network. We propose a deep model, entitled Deep Block Super Resolution (DBSR), by fusing the output features of a deep convolutional network and a shallow convolutional network. In this way, our model benefits from high frequency and low frequency features extracted from deep and shallow networks...

Better to exist: a reply to Benatar.

A recent exchange on Benatar's book Better never to have been between Doyal and Benatar discusses Benatar's bold claim that people should not be brought into existence. Here, I expand the discussion of original position that the exchange focused on. I also discuss the asymmetries, between benefit and harm and between existence and non-existence, upon which Benatar's bold claim rests. In both di...

Reply to Barrett: affective neuroscience needs objective criteria for emotions

I thank Lisa Barrett for the stimulating and comprehensive article explaining her theory of emotion. In what follows I will summarize what I take to be our points of agreement, my confusions, and suggestions for how to move forward.

Needs For and Approaches To Wildlife Habitat Assessment

A Hybrid MCDM Model for Improving the Electronic Health Record to Better Serve Client Needs

Although the electronic health record (EHR) is a promising innovation in the healthcare industry, the implementation of EHR has been relatively slow. A theoretical structure for the exploration and improvement of this usage of EHR is proposed. Incorporating the theoretical structure of TOE (technology-organization-environment), we apply the DEMATEL (decision-making trial and evaluation laborato...