Autopsies and pathology findings can enhance understanding of processes that occur while a person is still alive. Hence, wound care clinicians from all disciplines can learn about pressure-related injury from necrosis research performed on decedents by forensic pathologists. The current system of pressure ulcer staging and assessment is unidimensional and contains many gaps, leading to variatio...

Nowadays deep excavations are needed for construction of foundation of high rise buildings, providing space for parking and etc. In some cases deep excavations may be constructed in the vicinity of the subway tunnels and causes unpredicted extra displacements and internal forces in tunnel lining of tunnels which were not designed for them and consequently affect serviceability of tunnel. Theref...

FOREWORD This research project was performed to investigate the possibility that, by measuring the dynamic response characteristics of a bridge substructure, it might be possible to determine the condition and safety of the substructure and identify its foundation type (shallow or deep). Determining bridge foundation conditions with this approach may be applied to quantify losses in foundation ...

[1] John Blitzer et al. Domain Adaptation with Structural Correspondence Learning. In EMNLP’06. [2] Xavier Glorot et al. Domain Adaptation for Large-Scale Sentiment ClassiïňĄcation: A Deep Learning Approach. In ICML ’11 [3] Minmin Chen et al. Marginalized Denoising Autoencoders for Domain Adaptation. In ICML ’12 ACKNOWLEDGMENTS This research was supported by National Science Foundation award 13...

Abstract This paper adopts the key technology “tunnel and underground space support components”, assembles it into a “honeycomb” structure type, expands its application to deep foundation pit engineering, which fully reflects combination of “industry-university-research” theoretical research engineering practical application. can optimize setting lateral components in process, improve current c...

Predicting surface settlement in deep foundation pit engineering plays a central role the safety of construction. Recently, static or dynamic methods are usually applied to predict ground projects. In this work, we propose model combining wavelet noise reduction and radial basis neural network (XW-RBF) reduce interference monitoring data. The results show that XW-RBF predicts an average relativ...