Results 91 to 100 of about 142,389 (277)

End stage renal disease and survival in people with diabetes:a national database linkage study [PDF]

, 2014
© The Author 2014. Published by Oxford University Press on behalf of the Association of Physicians. Funding This work was supported by the Wellcome Trust through the Scottish Health Informatics Programme (SHIP).
,, ,, Bell, S., Brady, I., Colhoun, H. M., Conway, B., Fletcher, E. H., Halbesma, N., Joss, N., Leese, G., Levin, D., Lindsay, R. S., Livingstone, S., Looker, H. C., Mcknight, J., Metcalfe, W., Pearson, D., Philip, S., Sattar, N., Traynor, J. P., Wild, S.   +20 more
core   +7 more sources

Improved RRT-Connect Based Path Planning Algorithm for Mobile Robots

IEEE Access, 2021
Path planning plays a key role in the application of mobile robots and it is an important way to achieve intelligent mobile robots. Traditional path planning algorithms need to model environmental obstacles in a deterministic space, which is complex and ...
Jiagui Chen, Yun Zhao, Xing Xu
semanticscholar   +1 more source

Path Planning Using Combined Informed Rapidly- Exploring Random Tree Star and Particle Swarm Optimization Algorithms

IEEE Access
This study proposes a path planning algorithm that combines an informed rapidly-exploring random tree (RRT*) and particle swarm optimization (PSO) algorithms. The informed RRT* algorithm can build optimal pathways quickly.
Muhammad Aria Rajasa Pohan, Bambang Riyanto Trilaksono, Sigit Puji Santosa, Arief Syaichu Rohman   +3 more
doaj   +1 more source

Poli-RRT*: Optimal RRT-based planning for constrained and feedback linearisable vehicle dynamics [PDF]

2015 European Control Conference (ECC), 2015
This paper proposes a Rapidly exploring Random Trees planning strategy (Poli-RRT*) that computes optimal trajectories in presence of vehicle constraints (e.g., differential and actuation constraints) without approximating the nonlinear dynamics, but relying on exact linearisation. In this way, the optimal control problem that is introduced to determine
RAGAGLIA, MATTEO, PRANDINI, MARIA, BASCETTA, LUCA   +2 more
openaire   +2 more sources

RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators From RL Policies [PDF]

IEEE Robotics and Automation Letters, 2019
This letter addresses two challenges facing sampling-based kinodynamic motion planning: a way to identify good candidate states for local transitions and the subsequent computationally intractable steering between these candidate states.
H. Chiang, Jasmine Hsu, Marek Fiser, Lydia Tapia, Aleksandra Faust   +4 more
semanticscholar   +1 more source

Bidirectional Potential Guided RRT* for Motion Planning

IEEE Access, 2019
Requirement for high accuracy and speed of grasping operation for motion planning is very important. Motion planning algorithms for avoiding obstacles in narrow channels play a vital role for robotic arm effectively operating grasp tasks.
Wang Xinyu, Li Xiaojuan, Guan Yong, Song Jiadong, Wang Rui   +4 more
doaj   +1 more source

Simulation of Rapidly-Exploring Random Trees in Membrane Computing with P-Lingua and Automatic Programming [PDF]

, 2018
Methods based on Rapidly-exploring Random Trees (RRTs) have been widely used in robotics to solve motion planning problems. On the other hand, in the membrane computing framework, models based on Enzymatic Numerical P systems (ENPS) have been applied ...
Orellana Martín, David, Pérez Hurtado de Mendoza, Ignacio, Pérez Jiménez, Mario de Jesús, Zhang, Gexiang   +3 more
core   +2 more sources

Highly sensitive detection of SARS-CoV-2 RNA by multiplex rRT-PCR for molecular diagnosis of COVID-19 by clinical laboratories

Clinica chimica acta; international journal of clinical chemistry, 2020
Highlights • SARS-CoV-2 RNA detection is performed for clinical diagnosis of COVID-19.• The detection of two different targets on the SARS-CoV-2 genome is recommended.• An internal control is required for evaluating the assay qualities.• A multiplex rRT ...
T. Ishige, Shota Murata, T. Taniguchi, Akiko Miyabe, K. Kitamura, Kenji Kawasaki, Motoi Nishimura, H. Igari, K. Matsushita   +8 more
semanticscholar   +1 more source

Gene signatures characterizing driver mutations in lung squamous carcinoma are predictive of the progression of pre‐cancer lesions

International Journal of Cancer, EarlyView.
What's New? Lung squamous cell carcinoma (LUSC) is more aggressive than lung adenocarcinoma, and is most often diagnosed at an advanced stage. Here, the authors evaluated gene expression data from LUSC tumors and came up with gene signatures for 34 genetic abnormalities whose expression changes throughout different precancerous stages. Several of these
Yupei Lin, Venugopalareddy Mekala, Jianrong Li, Xiang Wang, Muhammad Aminu, Jia Wu, Jianjun Zhang, Robert Taylor Ripley, Christopher I. Amos, Chao Cheng   +9 more
wiley   +1 more source

Evaluating Sleep Apnea: In‐Lab Versus at‐Home Recording Time and the Impact of Positional Disease

The Laryngoscope, EarlyView.
We evaluated the minimum recording time needed for in‐lab polysomnography (PSG1) and home sleep apnea test Type 3 portable monitoring (HSAT) to accurately reflect the full‐night apnea–hypopnea index (AHI) in patients with suspected obstructive sleep apnea (OSA).
Raquel Chartuni Pereira Teixeira, Michel Burihan Cahali   +1 more
wiley   +1 more source