Rate Changes – Too many or too few ?

Cystoscopy Image Classication Using Deep Convolutional Neural Networks

In the past three decades, the use of smart methods in medical diagnostic systems has attractedthe attention of many researchers. However, no smart activity has been provided in the eld ofmedical image processing for diagnosis of bladder cancer through cystoscopy images despite the highprevalence in the world. In this paper, two well-known convolutional neural networks (CNNs) ...

Medical Men in India: Too Few or Too Many

Too few physicians, or too many?

Weighting for a Plausible Humean Theory of Reasons

This paper addresses the two extensional objections to the Humean Theory of Reasons—that it allows for too many reasons, and that it allows for too few. Although I won’t argue so here, many of the other objections to the Humean Theory of Reasons turn on assuming that it cannot successfully deal with these two objections.1 What I will argue, is that the force of the too many and the too few obje...

On Moral Hazard and Joint R&D

This paper analyzes how the determinants of two entrepreneurs’ choice whether to conduct product innovation R&D projects alone, or in a cross license agreement, or in a research joint venture depend on the intrinsic nature of the R&D projects. Results show that in fundamental research — which is considered to be affected by moral hazard behavior of the researchers — there is a systematic bias t...