Uncertainty-aware gamma interaction localization and reconstruction in PET. [PDF]
Thull J +5 more
europepmc +1 more source
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
Design and Sound Absorption Characteristics of a Broadband Acoustic Absorber for Transformer Noise Control Based on a Composite Structure of Traditional and Side-Slit Helmholtz Resonators. [PDF]
Zhao L, Yang G.
europepmc +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Enhancing the MALDI-TOF MS Detection Mass Range of Saccharides Using a Reactive Composite Matrix. [PDF]
Wang S, Liu M, Ling L, Ding CF.
europepmc +1 more source
Iron‐Mediated Release of Aged Dissolved Organic Carbon From Waterlogged Peatland Under Warming
This study conducts a five‐year in situ warming experiment in high‐altitude peatlands to examine dissolved organic carbon (DOC) release. The study shows that warming promotes the release of plant‐derived modern DOC in drained peatlands, but amplifies aquatic export of century‐old DOC from waterlogged peatlands via Fe‐mediated DOC mobilization—a ...
Guohua Dai +18 more
wiley +1 more source
Predicting hearing loss in noise-exposed petrochemical workers: Influencing factors and a nomogram model. [PDF]
Ma T +7 more
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Synthesizing cone-beam projections in radiotherapy using deep learning network for patients with head and neck cancer. [PDF]
Fan Y +8 more
europepmc +1 more source
Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source

