Peripheral Neutrophil Activation and Extracellular Trap Formation in Amyotrophic Lateral Sclerosis
Markers of neutrophil activation are increased in plasma during ALS, and markers of NET formation associate with ALS survival. ABSTRACT Objectives Peripheral neutrophil levels in amyotrophic lateral sclerosis (ALS) inversely correlate with survival, suggesting a role for neutrophils in disease progression.
Lillia A. Baird +9 more
wiley +1 more source
Entry Point Localisation for Percutaneous Surgical Robots Based on Concentric Fiducial Patches and Robust Surface Fitting. [PDF]
Deng Y, Jiang Q, Wang J, Tang J.
europepmc +1 more source
Generative and Foundation-Based Artificial Intelligence in Medical Imaging: A Bibliometric Analysis of Global and United Kingdom Research, 2017-2025. [PDF]
Naidu J, Naidu S, Baskaradoss V.
europepmc +1 more source
Secure task offloading framework for industrial edge computing using reconfigurable intelligent surfaces and spectrum agility. [PDF]
Alhashmi AA +7 more
europepmc +1 more source
Automation, Robotics, and Artificial Intelligence in Seafood Processing: Advancements, Challenges, and Future Prospects. [PDF]
Yadav KK +7 more
europepmc +1 more source
EEG-based stress classification using time-domain features and segmentation techniques. [PDF]
Rauf U +5 more
europepmc +1 more source
Software-Defined UHF RFID Asset Tracking in Metallic Aircraft Cabins via IMU-Assisted Adaptive Kalman Filtering and Distilled Edge Intelligence. [PDF]
Karadag M, Pinarer O.
europepmc +1 more source
Related searches:
Sinusoidal Signal Assisted Multivariate Empirical Mode Decomposition for Brain–Computer Interfaces
IEEE Journal of Biomedical and Health Informatics, 2018A brain–computer interface (BCI) is a communication approach that permits cerebral activity to control computers or external devices. Brain electrical activity recorded with electroencephalography (EEG) is most commonly used for BCI.
Sheng Ge, Pan Lin, Wenming Zheng
exaly +2 more sources
Computer-Assisted Teaching Environment for Digital Signal Recognition Course Learning
International Symposium on Electronics and Telecommunications, 2018In this paper, we present a computer-assisted teaching system for digital signal recognition using the computer as an interactive partner in problem solving activities.
Zhaoli Zhang, Hai Liu, Tingting Liu
exaly +2 more sources

