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No studies have reported making use of kidneys from pediatric donors with severe HFMD. Here, we retrospectively analyzed the feasibility and clinical effect of six cases of kidney transplantation from four pediatric donors with severe HFMD in our center between January 2014 and December 2016. The donors’ age ranged from 6 months to 3 years and 11 months. The recipients’ age ranged from 18 to 41 years...
Object detection is a crucial task for autonomous driving. In addition to requiring high accuracy to ensure safety, object detection for autonomous driving also requires realtime inference speed to guarantee prompt vehicle control, as well as small model size and energy efficiency to enable embedded system deployment.,,,,,, In this work, we propose SqueezeDet, a fully convolutional neural network...
We present the Berkeley Model and Algorithm Prototyping Platform (MAPP), a MATLAB®-based framework for conveniently and quickly prototyping device compact models and simulation algorithms. MAPP's internal code structuring, which differs markedly from that of Berkeley SPICE and related simulators, allows users to add new devices with only minimal knowledge of simulation algorithms, and vice-versa....
The lack of a convenient yet powerful platform for prototyping simulation algorithms and mathematical models has long hindered research and collaboration in continuous-time (CT) simulation and modelling. We present the Berkeley Model and Algorithm Prototyping Platform (MAPP), which aims to make such prototyping and evaluation fast and easy. A key feature of MAPP is modular code structuring, the design...
We describe the Berkeley Model and Algorithm Prototyping Platform (MAPP), designed to facilitate experimentation with numerical algorithms and models. MAPP is written entirely in MATLAB and is available as open source under the GNU GPL.
We propose a new metric for quantifying per-element distortion that is simple, intuitive and well-defined for both small- and large-signal excitations. Traditional distortion concepts, based on polynomial expansions and Volterra series, can be viewed as an approximation of our new metric. Although computing this metric exactly is quadratic in circuit size, we devise a novel approximation that (unlike...
The great availability of massively parallel computing platforms gives rise a question to the EDA industry-how can this be really helping the productivity of circuit designs. Scalability of traditional parallel methods have shown to be limited as the computational resources keep increasing. In this paper we propose a time-domain segmentation method for massively parallel transistor-level simulation...
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