Results 161 to 170 of about 37,630 (219)

CA 549: The Theorem of Bayes for Obtaining Cut-off Values

The International Journal of Biological Markers, 1992
R. Blasco, M.J. Rodriguez Cortasa, E.M.A. Barbero, A. Colmenarejo, R. Munoz Calvo   +4 more
doaj   +1 more source

From Resistivity to Hydraulic Properties: Calibrating a Groundwater Flow Model by Integrating Airborne Electromagnetic and Borehole Data Into a Probabilistic Multi‐Texture Framework

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Airborne electromagnetic (AEM) surveys offer rapid, cost‐effective subsurface imaging, yet converting their electrical resistivity (ER) models into physically meaningful hydraulic property fields for groundwater models remains a challenge. We develop and demonstrate a data‐driven workflow for an unconsolidated sedimentary aquifer system in ...
Leland Scantlebury, Thomas Harter
wiley   +1 more source

Improving Geomagnetic Perturbation Forecasts in the Southern Hemisphere via Kernel‐Based Encoding of Mirror Symmetry

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Accurate forecasting of geomagnetic perturbations is essential for assessing space weather risk of geomagnetic activities. Thanks to decades of magnetometer observations from world‐wide distributed networks and upstream solar wind observations at L1, data‐driven modeling of global geomagnetic perturbations has become increasingly feasible ...
Hongfan Chen, Gabor Toth, Yang Chen, Shasha Zou, Xun Huan   +4 more
wiley   +1 more source

Optimal deep learning activity recognition pipeline using animal bio‐logging data

Methods in Ecology and Evolution, Volume 17, Issue 8, Page 2309-2329, August 2026.
Abstract Animal activity recognition using supervised machine learning on bio‐logging data has revolutionized behavioural studies on wildlife and livestock over the past decade. These studies' analytic pipelines differ substantially though, being based on various sensors, features, algorithms and hyperparameter values, which has caused suboptimal or ...
Jasper A. J. Eikelboom
wiley   +1 more source

Trust learning in the repeated trust game: A meta‐analytic study

British Journal of Psychology, Volume 117, Issue 3, Page 1026-1055, August 2026.
Abstract Trust involves making oneself vulnerable by relying on the expectation that others will reciprocate and act in a trustworthy manner, leading to mutual benefit. In behavioural economics and psychology, the Trust Game (TG) is a widely used paradigm to measure trust.
Caitlin Duncan, Lorena Sganzerla, Laura Kaltwasser, Isabel Dziobek   +3 more
wiley   +1 more source

Deep‐Learning: An Emerging Tool to Support Model‐Informed Drug Development

Clinical and Translational Science, Volume 19, Issue 8, August 2026.
ABSTRACT Traditional Model‐Informed Drug Development (MIDD) primarily relies on hypothesis‐driven (HD) models based on biological, physiological, and physicochemical principles. While these mechanistic models have been instrumental in drug development and regulatory decision‐making, they may be limited in capturing complex nonlinear relationships. Deep
Roberto Gomeni, Françoise Bressolle‐Gomeni   +1 more
wiley   +1 more source

Beyond Venous Inflammation: Vessel Wall Imaging of Intracranial Arteries in Neuro‐Behçet's Syndrome

European Journal of Neurology, Volume 33, Issue 8, August 2026.
ABSTRACT Background Neuro‐Behçet syndrome (NBS) is a heterogeneous inflammatory disorder in which venous involvement is well recognized, while intracranial arterial pathology remains insufficiently characterized. Conventional luminal imaging methods are limited in detecting early or isolated arterial wall abnormalities.
Esra Kochan Kizilkilic, Bora Korkmazer, Nursena Erener, Ahmet Kursat Karaman, Abdullah Arcan, Serdar Arslan, Aksel Siva, Emire Seyahi, Ugur Uygunoglu, Osman Kizilkilic   +9 more
wiley   +1 more source

Empirical Bayes Covariance Decomposition, and a Solution to the Multiple Tuning Problem in Sparse PCA. [PDF]

J Comput Graph Stat
Kang J, Stephens M.
europepmc   +1 more source

Signaling Vision: Knowing When to Quit

International Economic Review, Volume 67, Issue 3, Page 997-1013, August 2026.
ABSTRACT We study a signaling game where agents signal their type by choosing when to quit pursuing an uncertain project. High types observe news about project quality and quit when bad news arrives. Low types who do not observe any news may mimic high types by quitting continuously over a phase of time.
Junichiro Ishida, Wing Suen
wiley   +1 more source

Consumption in Asset Returns

The Journal of Finance, Volume 81, Issue 4, Page 2271-2330, August 2026.
ABSTRACT Using information in returns, we identify the stochastic process of consumption. We find that aggregate consumption reacts over multiple quarters to innovations spanned by financial markets. This persistent component accounts for over a quarter of consumption variation. These shocks command a large and significant risk premium, driving a large
SVETLANA BRYZGALOVA, JIANTAO HUANG, CHRISTIAN JULLIARD   +2 more
wiley   +1 more source