Results 231 to 240 of about 450,566 (307)
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang +9 more
wiley +1 more source
Abstract Community action focused on sociocultural and environmental influences to prevent alcohol and other drug (AOD) use and related harms is a global priority. Despite this recognition, understanding of effective community‐level approaches is limited.
Peter Gates, Andrea Zocco, Sara Farnbach
wiley +1 more source
Agricultural Injuries With Dementia: Double Whammy?
ABSTRACT Background Nearly 40% of US farmers are over 65 years old. Some emerging evidence links agricultural occupational exposure to increased dementia risk. However, little is known about dementia and injury outcomes in agricultural settings. Methods We employed data from the American College of Surgeons Trauma Quality Programs Participant Use File (
Kanika Arora +3 more
wiley +1 more source
ABSTRACT Background We investigated associations of self‐reported and job exposure matrix (JEM) assigned civilian occupational exposure to vapors, gas, dust, or fumes (VGDF) with respiratory symptoms among previously deployed US Veterans. Methods An interviewer‐administered questionnaire ascertained self‐reported civilian occupational VGDF exposure.
Sahra Mohazzab‐Hosseinian +14 more
wiley +1 more source
ABSTRACT Introduction Use of aqueous film‐forming foam (AFFF) is a source of exposure to per‐ and polyfluoroalkyl substances (PFAS) for firefighters working in aircraft rescue and firefighting (ARFF) settings. However, data characterizing the association between serum PFAS concentrations and exposure risk factors for ARFF firefighters are limited ...
Miriam M. Calkins +19 more
wiley +1 more source

