Publications by authors named "P Linton"

Urinary tract infections (UTIs) represent the most prevalent type of outpatient infection, with significant adverse health and economic burdens. Current culture-based antibiotic susceptibility testing can take up to 72 h resulting in ineffective prescription of broad-spectrum antibiotics, poor clinical outcomes and development of further antibiotic resistance. We report an electrochemical lab-on-a-chip (LOC) for testing samples against seven clinically-relevant antibiotics.

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The Alabama Supreme Court recently held, in , that the parents of human embryos that were negligently destroyed at a fertility clinic could bring an action for damages under the State's wrongful death statute. Although the Alabama legislature promptly enacted a law essentially overturning the state supreme court's decision, concerns have been raised that the court's decision might influence courts in other States to interpret their wrongful death statutes, or possibly even their fetal homicide statutes, to apply in similar circumstances, thereby threatening the availability of fertilization (IVF) technology. This article addresses those concerns.

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Article Synopsis
  • An ideal vision model looks at how we behave and how our brains work in both real life and experiments.
  • Artificial neural networks (ANNs) can actually do visual tasks and make predictions, which helps researchers understand vision better.
  • When certain models don't work well, it helps scientists improve and learn more about how human vision works.
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In the case of media comprised of impermeable particles, fluid flows through voids around impenetrable grains. For sufficiently low concentrations of the latter, spaces around grains join to allow transport on macroscopic scales, whereas greater impenetrable inclusion densities disrupt void networks and block macroscopic fluid flow. A critical grain concentration ρ_{c} marks the percolation transition or phase boundary separating these two regimes.

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New approaches to 3D vision are enabling new advances in artificial intelligence and autonomous vehicles, a better understanding of how animals navigate the 3D world, and new insights into human perception in virtual and augmented reality. Whilst traditional approaches to 3D vision in computer vision (SLAM: simultaneous localization and mapping), animal navigation (cognitive maps), and human vision (optimal cue integration) start from the assumption that the aim of 3D vision is to provide an accurate 3D model of the world, the new approaches to 3D vision explored in this issue challenge this assumption. Instead, they investigate the possibility that computer vision, animal navigation, and human vision can rely on partial or distorted models or no model at all.

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