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Rate variation and recurrent sequence errors in pandemic-scale phylogenetics. [PDF]

Nat Methods
De Maio N, Willemsen M, Martin S, Guo Z, Saha A, Hunt M, Ly-Trong N, Minh BQ, Iqbal Z, Goldman N.   +9 more
europepmc   +1 more source

Combination of pedicled fibular graft and latissimus dorsi free flap in complex tibial bone defect reconstruction after high-energy trauma: a case report. [PDF]

J Surg Case Rep
Ho-Man TP, Linh LK, Van Dung T.
europepmc   +1 more source

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Robust Initial Attitude Alignment for SINS/DVL

IEEE/ASME Transactions on Mechatronics, 2018
The attitude determination (AD) based initial alignment for Doppler velocity log (DVL) aided strapdown inertial navigation system (SINS) is investigated. Three issues involved in practical applications are pointed out and addressed, which have not been discussed in previous works.
Lubin Chang, Baiqing Hu
openaire   +3 more sources

Initial Alignment of GFINS

2021
All of the inertial navigation systems are dead reckoning systems via integration computation based on the initial condition. The initial condition is a prerequisite and one of the key factors affecting the INS accuracy. Initial alignment is a process to establish initial conditions for the INS; it is one of the key technologies necessary to realize ...
Hongjin Zhou, Yunhai Zhong, Hui Song, Su Wang   +3 more
openaire   +1 more source

Aligning Collective Impact Initiatives

2014
Stanford Social Innovation Review, 12(4), A15 ...
Irby, Merita, Boyle, Patrick
openaire   +1 more source

Inertial Navigation and Initial Alignment Technology

2018
Navigation is the technology to provide navigation parameters for the motional carrier to arrive at the destination accurately from the starting point. During the flight process of the OTV, the basic navigation parameters needed are the orbital and attitude parameters. Among which, the orbital parameters refer to the position and velocity of the flight
Xuefeng Li, Chaobing Li
openaire   +1 more source

Better initialization for regression-based face alignment

Computers & Graphics, 2018
Abstract Regression-based face alignment algorithms predict facial landmarks by iteratively updating an initial shape, and hence are always limited by the initialization. Usually, the initial shape is obtained from the average face or by randomly picking a face from the training set. In this study, we discuss how to improve initialization by studying
Hengliang Zhu, Bin Sheng, Zhiwen Shao, Yangyang Hao, Xiaonan Hou, Lizhuang Ma   +5 more
openaire   +1 more source