Results 121 to 130 of about 5,964 (223)
An integrative conceptual framework linking the five principal domains addressed in this review. Beginning at the molecular level, loss‐of‐function mutations in KCNQ1 and KCNH2 reduce outward repolarizing currents (IKs and IKr), while gain‐of‐function SCN5A mutations augment late inward sodium current (INa), establishing the genetic substrate for ...
Mojtaba Farjam +2 more
wiley +1 more source
Ergodicity and regime recoverability in finite Markov-modulated random walks. [PDF]
Pambukyan A, Saudagar AKJ, Kumar S.
europepmc +1 more source
The effect of trait choice on hybrid species distribution model projections under climate change
Species distribution models (SDMs) have been increasingly combined with thermal performance data to enhance their transferability and to provide a physiological explanation for the predicted geographic patterns. Yet, while it is widely acknowledged that thermal sensitivities may vary among biological traits, it remains largely unexplored to what extent
Soria Delva +7 more
wiley +1 more source
On the equivalence between classically verifiable position verification and certified randomness. [PDF]
Kaleoglu F +6 more
europepmc +1 more source
ABSTRACT Objective To qualitatively explore the lived experiences of fasting during Ramadan and the Iftar meal in Muslim adults with low self‐regulation (i.e., low ability to control) eating behavior. Methods Semistructured interviews were conducted with Muslim young adults, scoring below the threshold for low/moderate self‐regulation on the Self ...
Alina Zubair +3 more
wiley +1 more source
Class-adaptive oracle-free metamorphic test case prioritization framework for vision-based deep neural networks. [PDF]
Li J, Mohamad R, Ahmad J.
europepmc +1 more source
Enhancing Study Design and Analysis of MR Imaging Markers Through Measurement Error Modeling
ABSTRACT Background Measurement error in imaging reduces statistical power and potentially biases parameter estimation, compromising study reliability. Purpose To introduce a dual data collection design (reliability and main datasets) to quantify measurement error and apply regression calibration to correct error‐prone imaging markers, thereby ...
Xiaofeng Wang +8 more
wiley +1 more source
Hybrid Quantum-Classical Algorithm for Robust Optimization via Stochastic-Gradient Online Learning. [PDF]
Lim D, Doriguello JF, Rebentrost P.
europepmc +1 more source
We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Mirage Modi +7 more
wiley +1 more source
Resilient distributed model predictive control for cooperative microgrids under communication loss with demand response integration. [PDF]
Alghamdi B.
europepmc +1 more source

