Results 61 to 70 of about 997,464 (307)

NMR screening of low molecular weight inhibitors targeting the papain‐like protease (PLPro) of SARS‐CoV‐2

FEBS Open Bio, EarlyView.
Papain‐like protease from SARS‐CoV‐2 plays an important role in the cleavage of the viral polyproteins and in the suppression of the host's immune response. Here, we present the results of an NMR screening study. We identified 86 binding compounds, of which five candidates were chosen for in‐depth analysis.
Dennis J. Pyper, Sridhar Sreeramulu, Benjamin T. Lanham, Elizabeth M. Engle, David Fushman, Harald Schwalbe   +5 more
wiley   +1 more source

Deep Learning Point Cloud Odometry

U.Porto Journal of Engineering, 2021
Achieving persistent and reliable autonomy for mobile robots in challenging field mission scenarios is a long-time quest for the Robotics research community. Deep learning-based LIDAR odometry is attracting increasing research interest as a technological
Bernardo Teixeira, Hugo Silva
doaj   +1 more source

Deep Projective 3D Semantic Segmentation

, 2017
Semantic segmentation of 3D point clouds is a challenging problem with numerous real-world applications. While deep learning has revolutionized the field of image semantic segmentation, its impact on point cloud data has been limited so far.
AE Johnson, JA Montoya-Zegarra, M Kazhdan, R Szeliski, S Gupta, S Salti, T Hackel   +6 more
core   +1 more source

Accuracy and reproducibility of a single‐pose image‐to‐robot registration method for mobile C‐arm cone beam CT guided histotripsy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Histotripsy is a focal tumor therapy that utilizes focused ultrasound (US) to mechanically destroy tissue. To overcome visualization limitations of diagnostic US‐guidance, C‐arm cone beam CT (CBCT)‐guided histotripsy is being developed, for which a mobile C‐arm could increase accessibility. CBCT‐guided histotripsy uses a phantom with a
Grace M. Minesinger, Paul F. Laeseke, Katrina L. Falk, Claire E. Hennen, Michael A. Speidel, Martin G. Wagner   +5 more
wiley   +1 more source

A Registration Method Based on Ordered Point Clouds for Key Components of Trains

Sensors
Point cloud registration is pivotal across various applications, yet traditional methods rely on unordered point clouds, leading to significant challenges in terms of computational complexity and feature richness.
Kai Yang, Xiaopeng Deng, Zijian Bai, Yingying Wan, Liming Xie, Ni Zeng   +5 more
doaj   +1 more source

Molecular Screening of SCN1A‐Related Seizures in Children With Febrile Seizures: Diagnostic Yield and Variant Distribution

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SCN1A‐related seizures first present as febrile seizures (FS). Definitive features emerge later, making early diagnosis challenging. We evaluated the diagnostic yield and clinical characteristics of pathogenic SCN1A variants in FS, and analyzed the effect of variant characteristics on clinical phenotypes required for early ...
Jia Wang, Yang‐Yang Wang, Lin‐Yan Hu, Xiu‐Yu Shi, Wen He, Dan Sun, Baoguang Li, Xiaoming Liu, Sanqing Xu, Lijun Du, Chunhui Tang, Li‐Ping Zou   +11 more
wiley   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source

Point Cloud GAN

, 2018
Generative Adversarial Networks (GAN) can achieve promising performance on learning complex data distributions on different types of data. In this paper, we first show a straightforward extension of existing GAN algorithm is not applicable to point clouds, because the constraint required for discriminators is undefined for set data.
Li, Chun-Liang, Zaheer, Manzil, Zhang, Yang, Poczos, Barnabas, Salakhutdinov, Ruslan   +4 more
openaire   +2 more sources

A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion

Advanced Engineering Materials, EarlyView.
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann, Eduard Ortlieb, Hendrik Wester, Paul Christoph Gembarski, Bernd‐Arno Behrens, Roland Lachmayer   +5 more
wiley   +1 more source

Nonparametric point cloud filter

IET Image Processing
This paper proposes a nonparametric point cloud filter to address the issue that existing point cloud filtering methods cannot retain important point cloud features after filtering and often require complex parameter adjustments. Firstly, a nonparametric
Yefa Sun, Jinli Wang
doaj   +1 more source