Results 151 to 160 of about 24,372,621 (308)

Scalable NMF via linearly optimized data compression. [PDF]

Proc SPIE Int Soc Opt Eng, 2023
Ha SM, Bani A, Sotiras A.
europepmc   +1 more source

Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki, Alireza Amindarolzarbi, Tsion Abdi, John Clarke, Michael Hughes, Ami A. Shah, Zsuzsanna H. McMahan   +6 more
wiley   +1 more source

Association of Elevated Platelets and C‐Reactive Protein With Severe Disease and Poor Survival in Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective Elevated C‐reactive protein (CRP) levels in systemic sclerosis (SSc) have been linked with severe disease and worse survival, but the role of platelet levels remains unclear. This study examined whether elevated platelet levels, CRP levels, or both are associated with disease severity, progression, and survival in SSc.
Brian S. Lee, Shufeng Li, Srijana Davuluri, Jennifer Lee, Lorinda Chung   +4 more
wiley   +1 more source

A trajectory data compression algorithm based on spatio-temporal characteristics. [PDF]

PeerJ Comput Sci, 2022
Zhong Y, Kong J, Zhang J, Jiang Y, Fan X, Wang Z.   +5 more
europepmc   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

Data Compression in the NEXT-100 Data Acquisition System. [PDF]

Sensors (Basel), 2022
Esteve Bosch R, Rodríguez Ponce J, Simón Estévez A, Benlloch Rodríguez JM, Herrero Bosch V, Toledo Alarcón JF.   +5 more
europepmc   +1 more source

The qualitative modeling and compression of the request sequences in ARQ protocols

, 2001
Compression of the repeat request data in ARQ protocols was studied. Focus was on the problem of compressing the output of the block box (ARQ algorithm) with unknown input signal (error sequence).
Ekstrand, N.,, Rathonyi, B.,, Shtarkov, Y.,, Lund University., Smeets, B.,   +4 more
core  

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling, Ties van het Erve, Yvette van de Berg, Simon Mastbergen, Julia Spierings   +4 more
wiley   +1 more source

Data Compression of the D1200 Suite: Achieving the Optimal Balance Between Size and Accuracy with the Diet-D200 Subset. [PDF]

J Comput Chem
Soriano-Agueda L.
europepmc   +1 more source

Investigation of Energy Cost of Data Compression Algorithms in WSN for IoT Applications. [PDF]

Sensors (Basel), 2022
Mishra M, Sen Gupta G, Gui X.
europepmc   +1 more source