Results 151 to 160 of about 8,125 (267)

Liposome Particle Size Prediction by In‐Line Process Analytical Technology (PAT)‐Integrated Machine Learning

Small Methods, Volume 10, Issue 12, 23 June 2026.
An in‐line PAT‐integrated ML strategy for microfluidic liposome synthesis accurately predicted particle size from formulation parameters and fluoresence sensing data. The model captured both seen and unseen conditions, demonstrating robust generalization and process control with low error.
Junghu Lee, Nozomi Morishita Watanabe, Noriko Yoshimoto, Seonghyeon Eom, Moon Kyu Kwak, Ho‐Sup Jung, Hiroshi Umakoshi   +6 more
wiley   +1 more source

Primordial Black Holes and the Stochastic Gravitational Wave Background in Arithmetic Quantum Geometry

Aziez walid
openalex   +2 more sources

Observational Uncertainty in Deep Learning Climate Downscaling and Projections

Earth and Space Science, Volume 13, Issue 6, June 2026.
Abstract Deep learning (DL) models are increasingly used for climate downscaling, yet the impact of observational uncertainty on their performance remains poorly understood. Here we assess this effect by training ensembles of DL downscaling models using four independent gridded observational data sets over continental Spain that differ in source ...
Samuel Reyes‐Elgueta, Jose González‐Abad, Javier Diez‐Sierra, Sixto Herrera, José Manuel Gutiérrez   +4 more
wiley   +1 more source

Is Your Model Susceptible to Floating-Point Errors? [PDF]

This paper provides a framework that highlights the features of computer models that make them especially vulnerable to floating-point errors, and suggests ways in which the impact of such errors can be mitigated.
Luis R. Izquierdo, J. Gary Polhill
core  

Leveraging Large Language Models for Agent‐Based Simulation of Human‐Water System Interactions

Water Resources Research, Volume 62, Issue 6, June 2026.
Abstract Modeling human–water system interactions is essential for understanding the co‐evolution of human society and hydrological extremes. Agent‐based models (ABMs) are widely used for this purpose, yet they face persistent challenges, including manually coded rules, simplified behavioral assumptions, and limited integration of qualitative ...
Y. C. Ethan Yang, Wenyu Chiou
wiley   +1 more source

Speaking the same language? A direct cartography between functional knee phenotypes and CPAK. [PDF]

J Exp Orthop
de Geofroy B, Léonard R, Lustig S, Micicoi G.   +3 more
europepmc   +1 more source

Eco‐evolutionary dynamics of partially migratory metapopulations in spatially and seasonally varying environments

Journal of Animal Ecology, Volume 95, Issue 6, Page 936-951, June 2026.
Partial seasonal migration is rarely considered in a metapopulation context. Here, Haaland et al. use an eco‐evolutionary model revealing how partially migratory metapopulations may arise and be maintained, and how seasonal migrants may cause effects of local extreme climatic events to percolate through metapopulations across diverging temporal and ...
Thomas R. Haaland, Ana Payo‐Payo, Paul Acker, Rita Fortuna, Sarah J. Burthe, Irja I. Ratikainen, Francis Daunt, Jane M. Reid   +7 more
wiley   +1 more source

Path integration in complex number space. [PDF]

Proc Natl Acad Sci U S A
Craddock P, Miossec Y, Bouchekioua Y.
europepmc   +1 more source

A Mixed Frequency BVAR for the Australian Economy*

Economic Record, Volume 102, Issue 337, Page 182-207, June 2026.
A mixed frequency vector autoregression (MFVAR) model is proposed for nowcasting, forecasting and backcasting Australian macroeconomic indicators at monthly and quarterly frequencies. A novel augmented Minnesota prior for MFVAR models is also introduced.
Kelly Trinh, Jamie L. Cross
wiley   +1 more source

The effects of fiscal policy in a neoclassical growth model [PDF]

This paper studies the effects of fiscal policies--depicted as stochastic changes in government spending and distortionary tax rates--when the government is constrained from using lump sum taxes for achieving intertemporal budget balance.
Michael Dotsey, Ching Sheng Mo
core