Results 71 to 80 of about 72,581 (258)

Histopathological Evidence of Neurodegenerative Pathology in Epilepsy: A Systematic Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Epilepsy affects > 50 million people worldwide and is associated with a disproportionate burden of cognitive impairment. Emerging evidence suggests that neurodegenerative proteinopathies, particularly hyperphosphorylated tau (p‐tau) and amyloid‐β (Aβ), may contribute to cognitive dysfunction in people with epilepsy (PWE), even in the absence ...
Syeda Amrah Hashmi, Aleksander Luniewski, Vanessa Smith, Matthew McCord, Jaideep Kapur, Mark Quigg, Catherine Joshua, Ifrah Zawar   +7 more
wiley   +1 more source

Biopsychosocial Determinants of Hand Function and Its Trajectories Over Five Years in Patients With Hand Osteoarthritis

Arthritis Care &Research, EarlyView.
Objective This study aimed to investigate hand function trajectories over five years in primary hand osteoarthritis (OA). Additionally, determinants of baseline and longitudinal hand function were assessed. Methods A total of 538 patients with both baseline and five‐year study visits were analyzed.
Annemiek V. E. M. Olde Meule, Coen van der Meulen, Jos Runhaar, Frits R. Rosendaal, Margreet Kloppenburg   +4 more
wiley   +1 more source

Sparse Signal Processing with Frame Theory

CoRR, 2012
Many emerging applications involve sparse signals, and their processing is a subject of active research. We desire a large class of sensing matrices which allow the user to discern important properties of the measured sparse signal. Of particular interest are matrices with the restricted isometry property (RIP).
openaire   +2 more sources

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

An algorithm for learning sparsifying transforms of multidimensional signals

Revista Facultad de Ingeniería Universidad de Antioquia, 2017
Multidimensional signals contain information of an object in more than one dimension, and usually their processing relies on complex methods in comparison with their unidimensional counterparts. In signal processing, finding a sparse representation of a
Oscar Enrique Hurtado-Camacho, Hoover Fabián Rueda-Chacon, Henry Arguello-Fuentes   +2 more
doaj   +1 more source

Pulsation artifact removal from intra-operatively recorded local field potentials using sparse signal processing and data-specific dictionary. [PDF]

Annu Int Conf IEEE Eng Med Biol Soc, 2023
Swamy CP, Besheli BF, Branco LRF, Provenza NR, Sheth SA, Goodman WK, Viswanathan A, Ince NF.   +7 more
europepmc   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Parametric Sparse Representation and Its Applications to Radar Sensing

Leida xuebao, 2016
Sparse signal processing has been utilized to the area of radar sensing. Due to the presence of unknown factors such as the motion of the targets of interest and the error of the radar trajectory, a predesigned dictionary cannot provide the optimally ...
Li Gang, Xia Xiang-Gen
doaj   +1 more source

Sparse Signal Processing and Statistical Inference for Internet of Things [PDF]

, 2018
Data originating from many devices within the Internet of Things (IoT) framework can be modeled as sparse signals. Efficient compression techniques of such data are essential to reduce the memory storage, bandwidth, and transmission power. In this thesis, I develop some theory and propose practical schemes for IoT applications to exploit the signal ...
openaire   +2 more sources

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source