Results 251 to 260 of about 5,933,118 (327)

Optimization of wireless charging system by multiverse algorithm combining adaptive compression factor and Cauchy variation. [PDF]

Sci Rep
Wen C, Chen Z, Ma H, Tang Z, Feng Y, Wu J, Wang Y, Hu Y.   +7 more
europepmc   +1 more source

Default mode and motor networks facilitate early learning of implicit motor sequences: a multimodal MR spectroscopy and fMRI study

The Journal of Physiology, EarlyView.
Abstract figure legend This study investigated the neural correlates of implicit sequence learning and the influence of high‐intensity interval training (HIIT). We show that early skill learning is linked to default mode network connectivity, whereas the overall degree of learning is associated with motor network connectivity.
Joshua Hendrikse, Emily Brooks, Sarah Wallis, Dylan Curtin, Nigel C. Rogasch, Murat Yücel, Mana Biabani, Charlotte J. Stagg, Mark Bellgrove, Richard McIntyre, Chao Suo, James Coxon   +11 more
wiley   +1 more source

Clinical efficacy of anti-amyloid antibodies in apolipoprotein E ε4 homozygotes: A Bayesian reanalysis of lecanemab and donanemab phase 3 results. [PDF]

Alzheimers Dement (N Y)
Teipel S, Tang Y, Khachaturian A.
europepmc   +1 more source

circlus: An R Package for Circular and Spherical Clustering Using Poisson Kernel-Based and Spherical Cauchy Distributions

Lukas Sablica, Kurt Hornik, Bettina Grün   +2 more
openalex   +1 more source

Quasi‐invariance of Gaussian measures for the 3d$3d$ energy critical nonlinear Schrödinger equation

Communications on Pure and Applied Mathematics, Volume 78, Issue 12, Page 2305-2353, December 2025.
Abstract We consider the 3d$3d$ energy critical nonlinear Schrödinger equation with data distributed according to the Gaussian measure with covariance operator (1−Δ)−s$(1-\Delta)^{-s}$, where Δ$\Delta$ is the Laplace operator and s$s$ is sufficiently large. We prove that the flow sends full measure sets to full measure sets. We also discuss some simple
Chenmin Sun, Nikolay Tzvetkov
wiley   +1 more source

Sparse 2-stage Bayesian meta-analysis for individualized treatments. [PDF]

Biometrics
Shen J, Moodie EEM, Golchi S.
europepmc   +1 more source

Vertebral Growth Modulation Through Periosteal Resection and Fixed Length Deformity Overcorrection: Computational and In Vivo Pilot Study

JOR SPINE, Volume 8, Issue 4, December 2025.
The feasibility of using growth promoting strategies (vertebral periosteal resection and distraction) was investigated via computational and in vivo analysis. Computational analysis demonstrated that there is an increasing mechanical benefit to utilizing concave distraction over convex compression during spinal deformity correction.
Matthew A. Halanski, Cameron Jeffers, Yousuf Abubakr, Minhao Zhou, Brittney Kokinos, Max Twedt, David Bennett, Susan Hamman, Thomas Crenshaw, Grace D. O'Connell, Hani Haider   +10 more
wiley   +1 more source

Snake Optimization Algorithm Augmented by Adaptive <i>t</i>-Distribution Mixed Mutation and Its Application in Energy Storage System Capacity Optimization. [PDF]

Biomimetics (Basel)
Yue Y, Cao L, Chen C, Chen Y, Chen B.
europepmc   +1 more source

Simultaneous Siting and Sizing of PVs and D-STATCOMs in Medium-Voltage Grids Using the Cauchy-Based Distribution Optimizer

Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Walter Gil-González   +2 more
openalex   +1 more source

Theoretical Perspectives on Knowledge Distillation: A Review

WIREs Computational Statistics, Volume 17, Issue 4, December 2025.
A diagram for response‐based knowledge distillation. ABSTRACT Knowledge distillation (KD) is a widely used technique for transferring predictive behavior from a high‐capacity teacher model to a compact student model, providing a scalable strategy to compress and adapt foundation models to downstream tasks while allowing the distillation process to be ...
Chuanhui Liu, Haoyun Yin, Xiao Wang
wiley   +1 more source