Results 81 to 90 of about 144,848 (303)

Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks

open access: yes, 2018
Loom (LM), a hardware inference accelerator for Convolutional Neural Networks (CNNs) is presented. In LM every bit of data precision that can be saved translates to proportional performance gains.
Judd, Patrick   +4 more
core   +1 more source

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

open access: yesMolecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge   +17 more
wiley   +1 more source

Developing a conceptual framework to evaluate effectiveness of emergency response system for oil spill

open access: yesJournal of Traffic and Transportation Engineering (English ed. Online), 2014
The increase of oil spill accidents has made significant impacts on life, property and the environment. Facing ever-increasing risk of disaster losses, how to cope with and response to large scale oil spill disaster effectively is becoming more and more ...
Haiyan Wang   +3 more
doaj   +1 more source

Development and characterization of composites consisting of woven fabrics with integrated prismatic shaped cavities [PDF]

open access: yes, 2016
Composites are extensively used in automotive, construction, airplanes, wind turbines etc. because of their good mechanical properties such as high specific stiffness, high specific strength and resistance against fatigue. The main issues with composites
De Baere, Ives   +4 more
core  

Development of computerize value stream system [PDF]

open access: yes, 2014
Value stream mapping (VSM) was initially developed to use of the suite of tools to help researcher or practitioner to identify waste in individual value streams and find an appropriate method to its removal.
Abu Bakar, Suaibah   +3 more
core   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Remediation Plan Associated with Russell Corporation\u27s Period of Special Review [PDF]

open access: yes, 2009
This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide.
Fair Labor Association
core   +1 more source

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

open access: yesMolecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley   +5 more
wiley   +1 more source

Asymmetric perception of gains vs non-losses and losses vs non-gains: The causal role of regulatory focus [PDF]

open access: yes
Recent studies show that, while losses loom larger than equivalent non-gains, gains loom larger than equivalent non-losses. This finding, at odds with the loss aversion principle, has been interpreted within the framework of regulatory focus theory.
Luca Stanca, Simona Sacchi
core  

Estimating Sensor Motion from Wide-Field Optical Flow on a Log-Dipolar Sensor [PDF]

open access: yes, 2004
Log-polar image architectures, motivated by the structure of the human visual field, have long been investigated in computer vision for use in estimating motion parameters from an optical flow vector field. Practical problems with this approach have been:
Polimeni, Jonathan   +2 more
core   +1 more source

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