Results 101 to 110 of about 1,512,106 (277)

The crystal structure of the Borrelia burgdorferi nicotinamidase BBE22 resolves a long‐standing annotation error

FEBS Open Bio, EarlyView.
The crystal structure of Borrelia burgdorferi nicotinamidase (PncA/BBE22) reveals the correct full‐length protein initiated from a non‐canonical AUU start codon. The structure validates previous biochemical findings and resolves a long‐standing annotation error, demonstrating that the truncated database sequence is structurally incompatible with the ...
Kalvis Brangulis
wiley   +1 more source

Accelerated Degradation Test and Particle Filter Based Remaining Useful Life Prediction

Chemical Engineering Transactions, 2013
This paper presents a particle filtering based long-term RUL prediction method that integrates two data resources: infield Accelerated Degradation testing (ADT) and field operation.
X. Li, L. Liu, B. He, T. Jiang
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Covariance Tracking via Geometric Particle Filtering

, 2009
Region covariance descriptor recently proposedhas has been approved robust and elegant to describe a region of interest, which has been applied to visual tracking.
Liu YP(刘云鹏), Shi HY(史洪岩), Wang GG(王国刚)   +2 more
core  

Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes

FEBS Open Bio, EarlyView.
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard, Emma‐Jayne Proctor, Jiawa Wang, Nikolas P. Johnston, Andrew Hayes, Georgia McCorkell, Haibo Yu, Jai Tree, Mark R. Davies, Mark J. Walker, Ronald Sluyter, Stephan Brouwer, Martina L. Sanderson‐Smith   +12 more
wiley   +1 more source

An Enhanced Particle Filtering Method Leveraging Particle Swarm Optimization for Simultaneous Localization and Mapping in Mobile Robots Navigating Unknown Environments

Applied Sciences
With the rapid advancement of mobile robotics technology, Simultaneous Localization and Mapping (SLAM) has become indispensable for enabling robots to autonomously navigate and construct maps of unknown environments in real time.
Xu Bian, Wanqiu Zhao, Ling Tang, Hong Zhao, Xuesong Mei   +4 more
doaj   +1 more source

Loss of AMBRA1 activates MAPK and angiogenesis signaling pathways in melanoma cells

FEBS Open Bio, EarlyView.
Loss of AMBRA1 in melanoma cells activates multiple oncogenic pathways associated with tumor progression. Transcriptomic and protein network analyses revealed that AMBRA1 depletion enhances MAPK/ERK signaling, angiogenesis, TGF‐β/EMT signaling, and Wnt/axon guidance pathways.
Milad Ibrahim, Marco Corazzari, Iman Osman, Jane Armstrong, Noel Carter   +4 more
wiley   +1 more source

Probabilistic Fatigue Crack Growth Prediction for Pipelines with Initial Flaws

Buildings
This paper presents a probabilistic method to predict fatigue crack growth for surface flaws in pipelines using a particle filtering method based on Bayes theorem.
Youngjin Choi, Seung-Jung Lee
doaj   +1 more source

Video Object Tracking in Neural Axons with Fluorescence Microscopy Images

Journal of Applied Mathematics, 2014
Neurofilament is an important type of intercellular cargos transmitted in neural axons. Given fluorescence microscopy images, existing methods extract neurofilament movement patterns by manual tracking.
Liang Yuan, Junda Zhu
doaj   +1 more source

Two Stage Particle Filter for Nonlinear Bayesian Estimation

IEEE Access, 2018
The past several decades have witnessed the successful application of sequential Monte Carlo method (or particle filter) to a variety of fields. It has grown to be a popular method in solving different kinds of nonlinear Bayesian estimation problems ...
Fasheng Wang, Junxing Zhang, Baowei Lin, Xucheng Li   +3 more
doaj   +1 more source