Results 171 to 180 of about 131,054 (221)

MERRA2_CNN_HAQAST_PM25: Hourly Bias‐Corrected PM2.5 Datasets for Global Air Quality Assessment

open access: yesGeoscience Data Journal, Volume 13, Issue 2, April 2026.
The study introduces a new hourly global PM2.5 dataset combining MERRA‐2 reanalysis with CNN techniques. It addresses global air quality data gaps using AI and atmospheric science, providing valuable insights for health, environmental monitoring and climate research applications for diverse stakeholders.
Pawan Gupta, Alqamah Sayeed
wiley   +1 more source

A Machine Learning‐Based Model for Individualized Prediction of Vancomycin Concentration‐Time Curves in ICU Patients

open access: yesPharmacology Research &Perspectives, Volume 14, Issue 2, April 2026.
A machine learning–integrated pharmacokinetic model improves individualized prediction of vancomycin concentration–time profiles in ICU patients and outperforms traditional pharmacokinetic models, providing a practical decision‐support tool for precision dosing.
Jing‐Yi Wang   +11 more
wiley   +1 more source

Using Automated Psychological Tools for Understanding and Improving Mental Health Outcomes in Aotearoa

open access: yesJournal of the Royal Society of New Zealand, Volume 56, Issue 2, April 2026.
Aotearoa New Zealand has one of the highest rates of anxiety and depression globally, with Māori and Pacific groups carrying the greatest burden. We need to better understand the driving factors to improve the availability and flexibility of our treatment pathways.
Olivia K. Harrison   +24 more
wiley   +1 more source

Plate tectonics in the microscopy realm: Molecular insights into morphological variability of Peridinium willei (Peridiniales, Dinophyceae)

open access: yesTAXON, Volume 75, Issue 2, April 2026.
Abstract Freshwater Peridinium willei (Peridiniaceae) is globally distributed, but reports linking its morphologies with DNA sequence data remain scarce. The taxonomy of the species, and its infraspecific taxa, remain ambiguous due to the lack of DNA sequence data for the original and type material.
Arwin Ahmadpur   +17 more
wiley   +1 more source

Supervised Swin Transformer‐Based Predictive Lithological Mapping and Uncertainty Quantification Using Aeromagnetic and Gravity Data

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Lithological mapping is essential for the exploration of critical minerals supporting energy transition and national defense. Although recent advancements have incorporated multi‐source data sets and leveraged machine learning and deep learning (DL) methods, lithological mapping continues to face significant challenges, such as data imbalance,
Liang Ding   +3 more
wiley   +1 more source

Rapid Assignment of Chemical Shifts From Crystal Structures in Solid‐State NMR

open access: yesAngewandte Chemie, Volume 138, Issue 14, 27 March 2026.
Chemical shift assignment in solids is a long and tedious process that relies on complex 1D and 2D NMR experiments. With prior knowledge of the 3D structure, this process can be significantly sped up by a Bayesian probabilistic assignment approach based on predicted chemical shifts.
Ruben Rodriguez‐Madrid   +2 more
wiley   +2 more sources

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

open access: yesThe International Journal of Biological Markers, 1992
R. Blasco   +4 more
doaj   +1 more source

Corruption Detection Through Textual Analysis: Evidence From Eurozone Banks

open access: yesBusiness Ethics, the Environment &Responsibility, Volume 35, Issue 2, Page 1017-1037, April 2026.
ABSTRACT This research investigates the disclosure of banking institutions by analyzing their annual reports to identify the determinants capable of signaling possible corruption scandals. A textual analysis was conducted on the financial reports of 42 Eurozone banks from the period 2013 to 2022.
Rodolfo Damiano   +3 more
wiley   +1 more source

A Tutorial on Conducting and Interpreting a Bayesian Independent T‐Test Using Open‐Source Software

open access: yesJournal of Advanced Nursing, Volume 82, Issue 4, Page 3845-3858, April 2026.
ABSTRACT Aim To demonstrate a worked‐out example of a Bayesian independent t‐test using open‐source software, simulated data, a hypothetical nurse education intervention and a randomised controlled study design. This tutorial explains relevant Bayesian concepts and highlights literature that provides statistically principled justifications for ...
Helen Evelyn Malone, Imelda Coyne
wiley   +1 more source

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