Results 211 to 220 of about 7,599 (306)

Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features

This paper addresses the challenge of probabilistic parameter estimation given measurement uncertainty in real-time. We provide a general formulation and apply this to pose estimation for an autonomous visual landing system.
Lee, Joonghyun, Katz, Sydney M., Valentin, Romeo, Kochenderfer, Mykel J., Walker, Don, Sorgenfrei, Matthew   +5 more
core  

A review and evaluation of doubly robust approaches for estimating average treatment effects. [PDF]

Behav Res Methods
Zhang J, Lüdtke O, Robitzsch A.
europepmc   +1 more source

Exploring an Alternative to mRNA Vaccine Cold Chain Storage: MRNA‐Lipid Nanoparticle Stability When Dried in a Polymer Matrix

Advanced Functional Materials, EarlyView.
The nanostructure, size, and function of mRNA‐loaded lipid nanoparticles are evaluated before drying, within polymer microneedles, and after rehydration. The results reveal the polymer and LNP loadings required to recover nanostructure and preserve the delivery performance in dry‐state formulations.
Brendan P. Dyett, Shahad K. Alsaiari, John L. Daristotle, Timothy A. Forster, Alicia Lau, Dhruv Varshney, Rania Afaneh, Andrew R. Hanna, Charles Sloane, David Mankus, Haitao Yu, Jiali Zhai, DongSoo Yun, Lisa H. Tostanoski, Abigail Lytton‐Jean, Dan H. Barouch, Charlotte E. Conn, Robert Langer, Ana Jaklenec, Calum J. Drummond   +19 more
wiley   +1 more source

Agreement between heuristic shrinkage factor and optimal shrinkage factors in logistic regression for risk prediction: a simulation study across different sample sizes and settings. [PDF]

Diagn Progn Res
Pate A, Martin GP, Riley RD.
europepmc   +1 more source

Nanoparticle Shape Dictates Catalytic Performance in Selective Hydrogenation of Butadiene Over Au‐Pd Core‐Shell Nanoparticles

Advanced Functional Materials, EarlyView.
Controlling the exposed crystal facet of shape‐controlled Au‐Pd core‐shell catalysts though colloidal synthesis enhances their catalytic performance in the industrially relevant selective hydrogenation of butadiene. ABSTRACT Selective hydrogenation of butadiene is a critical step in purification of alkene feedstocks for polymer production and is ...
Marta Perxés Perich, Jan‐Willem Lankman, Petra E. de Jongh, Jessi E. S. van der Hoeven   +3 more
wiley   +1 more source

SFEL a machine learning framework for forecasting radar backscatter based ground deformation. [PDF]

Sci Rep
Sankhyan S, Sharma S, Pohal S, Uday KV, Dutt V.   +4 more
europepmc   +1 more source

Orbital Geometry‐Governed Response of Pressure‐Tunable Quantum Defects in hBN

Advanced Functional Materials, EarlyView.
Defects in hBN act as ultrasensitive quantum manometers when the energy of the intradefect optical transitions is modified by lattice compression. The orbital geometry of the electron wave functions governs how electron hopping and Coulomb interactions react uniquely to the reduction of the van der Waals gap and in‐plane compression, leading to robust ...
Magdalena Grzeszczyk, Danis I. Badrtdinov, Kenji Watanabe, Takashi Taniguchi, Cyrus E. Dreyer, Malte Rösner, Maciej Koperski   +6 more
wiley   +1 more source

Efficient median estimation for stratified multi-population data: health services, medical workforce, and medical education. [PDF]

BMC Med Res Methodol
Daraz U, Aljohani HM, Alshanbari HM.
europepmc   +1 more source

Titanium Suboxides Responsible for Electronic Anomaly Near Room Temperature in the Ti3C2Tx MXene

Advanced Functional Materials, EarlyView.
Our multi‐technique study reveals that the near‐room‐temperature anomaly in Ti3C2Tx MXene is linked to titanium suboxide nanodomains, including Ti3O5, embedded within the MXene host. Their temperature‐driven transformation provides an alternative explanation to solvent‐ and swelling‐based models and offers new insight into the thermally activated ...
Bence G. Márkus, Bradlee J. McIntosh, Lili Vajtai, Anna Nyáry, Sándor H. Sipos, Nirmal J. Ghimire, Ferenc Simon, László Forró, Dávid Beke   +8 more
wiley   +1 more source

Machine learning models for predicting postoperative delirium after noncardiac surgery: A comparative study. [PDF]

J Int Med Res
Yang Y, Zhu P.
europepmc   +1 more source