Reduced environmental impact in body CT imaging with deep learning reconstruction: experience of a high-volume tertiary referral center. [PDF]
Franco PN +6 more
europepmc +1 more source
Abstract Pharyngeal high‐resolution manometry with impedance (P‐HRM‐I) is an established assessment method used to evaluate pharyngeal swallowing. It provides precise quantification of swallowing biomechanics that enable the detection of alterations in swallowing physiology.
Mistyka Schar +5 more
wiley +1 more source
Nighttime light dynamics reveal peri-urban brightening and population decoupling in the Chengdu Chongqing megaregion. [PDF]
Liang W, Liu R, Kou P.
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Genetic Evaluation and Selection of <i>Eucalyptus urophylla</i> Families and Hybrids for Cold Tolerance in Northern Guangdong, South China. [PDF]
Zhu M +10 more
europepmc +1 more source
This study introduces a subthreshold in‐memory anomaly detection architecture for wearable ECG monitoring using floating‐gate IGZO content‐addressable memories on a flexible substrate. Area‐engineered coupling provides a high subthreshold slope, while subthreshold operation realizes intrinsic exponential distance evaluation and linear voltage sensing ...
Hyung‐Jun Noh +4 more
wiley +1 more source
Association between atmospheric SO2 exposure and severity of respiratory infections in infants: a systematic review. [PDF]
Vieira SE, Ferraro AA.
europepmc +1 more source
Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez +3 more
wiley +1 more source
Effects of Different Maturity Groups on Photosynthetic Performance, Grain-Filling Dynamics, and Yield of Maize Under Film Mulching in a Cool Region. [PDF]
Guo Y +9 more
europepmc +1 more source
Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja +2 more
wiley +1 more source

