Results 171 to 180 of about 24,419 (276)

The influence of haemoglobin–O2 affinity on aerobic capacity in hypoxia in high‐altitude deer mice (Peromyscus maniculatus)

The Journal of Physiology, EarlyView.
Abstract figure legend The influence of haemoglobin–O2 affinity on aerobic capacity in hypoxia has been contentious. Many high‐altitude natives have greater haemoglobin–O2 affinity (lower P50, the O2 pressure at 50% haemoglobin saturation) than their low‐altitude counterparts, but the advantages of this change for aerobic metabolism have often remained
Kayla M. Garvey, Graham R. Scott
wiley   +1 more source

A Comparative Evaluation of GPT-4 Turbo and Gemini-Pro in Medical Licensing Exams: Enhancing Artificial Intelligence's Role in Medical Education. [PDF]

Cureus
Sussan TT, Sussan RJ, Atkinson AG, Atkinson IH, Cunningham K, Eckroth J, Miller LB, Wei T.   +7 more
europepmc   +1 more source

Reduced Complexity In-Phase/Quadrature-Phase M-QAM Turbo Equalization Using Iterative Channel Estimation

, 2003
A reduced complexity trellis-based turbo equalizer known as the in-phase (I)/quadrature-phase (Q) turbo equalizer (TEQ-IQ) invoking iterative channel impulse response (CIR) estimation is proposed. The underlying principle of TEQ-IQ is based on equalizing
Yeap, B.L., Wong, C.H., Hanzo, L.
core  

A Hybrid RF Coil for Whole‐Brain Imaging in Non‐Human Primates at 7 T

Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 996-1010, August 2026.
ABSTRACT Purpose Ultra‐high field MRI (≥ 7 T) offers unprecedented potential for mapping non‐human primate (NHP) brain function. However, complex electromagnetic systems are required to meet the challenges of UHF imaging and the mechanical demands of awake NHP studies.
Elias Djaballah, Éric Giacomini, Paul‐François Gapais, Michel Luong, Alexis Amadon, Qi Zhu   +5 more
wiley   +1 more source

Evaluating the accuracy of ChatGPT model versions for giving care-seeking advice. [PDF]

Commun Med (Lond)
Kopka M, He L, Feufel MA.
europepmc   +1 more source

Signal and Contrast Optimization With Predicted Excitations (SCOPE) for Accelerating Large FOV Body Imaging at UHF

Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 635-649, August 2026.
ABSTRACT Purpose Large FOV turbo‐spin‐echo (TSE) imaging at ultra‐high field (UHF) remains challenging due to B1+ inhomogeneity and peak specific absorption rate (pSAR) limitations. This work presents a new time‐interleaved acquisition of modes (TIAMO) framework called SCOPE (Signal and Contrast Optimization with Predicted Excitations), which overcomes
Tobey D. Haluptzok, Simon Schmidt, Gregory J. Metzger   +2 more
wiley   +1 more source

Small Language Models: A Systematic Review of Computational Trade‐Offs, Privacy Advantages and Deployment in Intelligent Systems

Expert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT This systematic review synthesizes evidence from 68 studies, including peer‐reviewed journal articles, indexed conference/workshop proceedings and five remaining arXiv preprints published between 2022 and 2025, on small language models (SLMs) as computationally efficient alternatives to large language models (LLMs).
Sena Dikici, Turgay Tugay Bilgin
wiley   +1 more source

Turbo Charge Your CME and CPD Operations Using Generative AI Tools. [PDF]

J CME
Akunuru RV, Dodgson A, Milbauer DD, Perch A.   +3 more
europepmc   +1 more source

Measuring the Impact: Magnetic Resonance Imaging Response of Sacroiliac Joints to Tumor Necrosis Factor Inhibitors in Youth With Axial Disease

Arthritis &Rheumatology, Volume 78, Issue 7, Page 1527-1534, July 2026.
Objective To evaluate the timeline for resolution of sacroiliac joint (SIJ) inflammation, changes in structural lesions, and their correlation with patient‐reported outcomes (PROs) in youth with axial juvenile spondyloarthritis (axJSpA) initiating tumor necrosis factor inhibitor (TNFi).
Timothy G. Brandon, Rui Xiao, Daniel J. Lovell, Edward Oberle, Matthew L. Stoll, Nancy A. Chauvin, Michael L. Francavilla, Walter P. Maksymowych, Pamela F. Weiss   +8 more
wiley   +1 more source

Advances in Modern Channel Coding. [PDF]

Entropy (Basel)
Wu Y, Yuan P.
europepmc   +1 more source