Deep learning (DL) based methods have significantly pushed forward the state-of-the-art for image restoration (IR) task. Nevertheless, DL-based IR models are highly computation- and memory-intensive. The surging demands processing higher-resolution images multi-task paralleling in practical mobile usage further add to their computation memory burdens. In this paper, we reveal overlooked redunda...

OBJECTIVES/HYPOTHESIS An intact epithelium is an important part of vocal fold defense. Damage to the epithelium can compromise vocal fold homeostasis and protection of the host tissue from viral and bacterial invasion. Elucidating the effects of damage on epithelial architectural and barrier integrity provides insight into the role of epithelium in protecting vocal folds. Using an animal model,...

1. Stream ecosystems are increasingly impacted by multiple stressors that lead to a loss of sensitive species and an overall reduction in diversity. A dominant paradigm in ecological restoration is that increasing habitat heterogeneity (HH) promotes restoration of biodiversity. This paradigm is reflected in stream restoration projects through the common practice of re-configuring channels to ad...

Balanced restoration consists in removing the effects of tectonic deformation in order to recover the depositional state of sedimentary layers. Restoration thus helps in the understanding of a geodynamic scenario, reduces structural uncertainties by testing the consistency of the structural model, and, under mechanical behavior assumptions, evaluates retro-deformation. We show how an elastic fi...

During the last years, electrical utilities began to install intelligent applications in order to assist Control Centers operators. The Verification and Validation (V&V) process must assure the reliability of these applications, even under incident conditions. This paper addresses the Validation and Verification of Knowledge-Based Systems (KBS) in general, focussing particularly on the V&V of S...