Results 191 to 200 of about 6,488,308 (244)

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

A Hierarchical FSM-BT Control Architecture for a Passive/Active Rehabilitation Exoskeleton. [PDF]

Sensors (Basel)
Chávez-Reynoso RBM, Barrios-Aranibar D, Patiño-Escarcina RE.   +2 more
europepmc   +1 more source

Positive Affect is Associated with Better Physical Function in Early Rheumatoid Arthritis

Arthritis Care &Research, Accepted Article.
Objective This study examined the association between positive affect and physical function in individuals with early rheumatoid arthritis (RA). Methods We analyzed baseline data from 129 adults with early RA (persistent joint symptoms for ≤ 24 months) and active disease enrolled in the Central Pain in RA 2 (CPIRA‐2) study.
Burcu Aydemir, Jing Song, Lutfiyya N. Muhammad, Wendy Marder, Kevin Deane, Clifton Bingham, Lisa A. Mandl, Robert Edwards, Judith T. Moskowitz, Yvonne C. Lee   +9 more
wiley   +1 more source

The Role of Averages in CV-QKD over Fast Fading Channels. [PDF]

Entropy (Basel)
Castillo-Celeita M, Schiavon M.
europepmc   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Role reconstruction and competency requirements of emergency nurses in the human-machine collaborative mode: a qualitative study. [PDF]

Front Public Health
Chen L, Wang Q, Mao X, Xia S, Ren A, Yin L, Wang H, Liu N.   +7 more
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Adaptive tunneling photodiodes enable visual recognition in high-contrast scenes. [PDF]

Sci Adv
Liu L, Hu F, Han J, Gou J, Zou P, Yu H, He M, Guo L, Lian Y, Deng W, Wang F, Wei J, Du X, Zhou H, Yu H, Jiang Y, Wang QJ, Wang J.   +17 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

A reproducible, diagnostic-guided hybrid Laplace workflow for generalized linear mixed models. [PDF]

MethodsX
Hamasha MM.
europepmc   +1 more source