Results 191 to 200 of about 28,710 (302)

Information Design for Early‐Stage Dose‐Finding Trials

Naval Research Logistics (NRL), EarlyView.
ABSTRACT To enhance enrollment rates in early‐stage dose‐finding clinical trials, we propose an information design approach, where the clinical investigator (CI) commits to an information releasing mechanism (IRM) based on the treatment's uncertain efficacy and toxicity to encourage patients to participate in the trial.
Amin Khademi, Ningyuan Chen
wiley   +1 more source

Time fractional modeling of MHD natural convection flow between parallel plates via caputo-fabrizio integral. [PDF]

Sci Rep
Masood K.
europepmc   +1 more source

Simulation Insights Into Enhanced Emitter Contact Passivation via LECO on Industrial TOPCon Solar Cells

Progress in Photovoltaics: Research and Applications, EarlyView.
Numerical simulations were employed to boost industrial TOPCon cells from 25.5% to 26.07% by suppressing J0e,metal,eff without compromising ρc with a dual optimization strategy: (1) engineering the selective emitter sheet resistance (Rsh_SE) to 117 Ω/□ and (2) reducing the LECO‐induced partial metal contact ratio (fpmc) to 1%.
Jiayu Xu, Yun Qin, Zhiyuan Zhang, Wei Fan, Wu Zhang, Qun Liu, Jiaji Lin, Yuhao Cheng, Ning Song, Bram Hoex, Lang Zhou, Fa‐Jun Ma   +11 more
wiley   +1 more source

Porous Modified Calcium Carbonate as an Efficient Carrier for Gallic and Ascorbic Acids in Humidity‐Activated Oxygen Scavenging Systems

Packaging Technology and Science, EarlyView.
Porous modified calcium carbonate (MCC) is presented as an efficient carrier for humidity‐activated oxygen scavengers based on gallic acid and ascorbic acid. The porous MCC structure preserves high accessibility of the active compounds, enabling effective oxygen scavenging under high relative humidity, with performance governed by loading level ...
Nastasia M. Coray, Bettina Röcker, Gabriel Mäder, Fabien W. Monnard, Matthias Welker, Joachim Schoelkopf, Selcuk Yildirim   +6 more
wiley   +1 more source

Diffusion-Shock PDEs for Deep Learning on Position-Orientation Space. [PDF]

J Math Imaging Vis
Sherry FM, Schaefer K, Duits R.
europepmc   +1 more source

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis, A. Carrassi, J. Brajard, L. Bertino, M. Broccoli, D. Iovino, T.S. Finn, M. Bocquet   +7 more
wiley   +1 more source

Dielectric and Magnetic Spherical Hollow Shells Subjected to a dc or Low-Frequency ac Field of <i>Any</i> Spatial Form: Complete Theoretical Survey of All Scalar and Vector Physical Entities, Including the Depolarization Effect. [PDF]

Materials (Basel)
Moraitis P, Tsakmakidis K, Nemes NM, Stamopoulos D.   +3 more
europepmc   +1 more source

A framework to evaluate and identify development requirements for land‐surface models at km‐scale resolution: Application to a semi‐arid and mountainous region

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This article provides a first evaluation of land‐surface models at the km‐scale resolutions at which they are used in weather and Earth‐system models. At these resolutions, the lateral transfers of water that organize landscapes play an important role in predicting evaporation correctly. Riparian processes and human water management for irrigation need
Jan Polcher, Julie Collignan, Juan Pablo Sierra Perez, Gabriele Arduini, Sophie Bastin, Martin Best, Aaron Boone, Manel Bravo, Francesca Covella, Jasper M. C. Denissen, Cenlin He, Simon Munier, Marc Prange, Elena Shevliakova   +13 more
wiley   +1 more source

Lévy Diffusion Under Power-Law Stochastic Resetting. [PDF]

Entropy (Basel)
Liu J, Li Y, Marchesoni F.
europepmc   +1 more source

EnKF and expectation‐maximization based parameter estimation of a convective gravity‐wave parameterization using Strateole 2 constant‐level balloon data

Quarterly Journal of the Royal Meteorological Society, EarlyView.
An offline methodology is applied to estimate parameters of a convective gravity‐wave scheme using momentum flux (MF) observations from constant‐level balloons (left panels: pdfs of east and west MFs in green from observations and black from EnKF). The approach integrates an ensemble Kalman filter with an expectation‐maximization algorithm and permits ...
F. Lott, P. Tandeo, M. Pulido, D. Bardet
wiley   +1 more source