Electricity consumption prediction using an advanced spatial-temporal deep learning framework. [PDF]
A Palan V, N S.
europepmc +1 more source
A two‐phase workflow (OFAT screening followed by central composite design) maps how processing variables tune PFCE‐PLGA nanoparticle size, dispersity, surface charge, loading, and 19F‐MRI signal. In situ, time‐resolved synchrotron SAXS tracks albumin‐corona growth on intact dispersions and reveals PFCE‐dependent adsorption pathways.
Joice Maria Joseph +11 more
wiley +1 more source
A novel reinforcement learning-based approach for short-term load and price forecasting in energy markets. [PDF]
Wu Y, Ma Y, Aliev H.
europepmc +1 more source
Nanotherapies for Atherosclerosis: Targeting, Catalysis, and Energy Transduction
Atherosclerosis management is hindered by poor drug targeting and plaque heterogeneity. Nanotechnology overcomes these barriers via three core strategies: (1) target‐engineered nanocarriers that achieve lesion‐specific precision via ligand modification, biomimetic camouflage, stimuli‐responsive release, and self‐propelling nanomotors; (2) catalytic ...
Yuqi Yang +4 more
wiley +1 more source
Genetic algorithm-based daily power output forecasting for energy storage power stations. [PDF]
Xi L, Zhong J, Yu S, Liao C, You J.
europepmc +1 more source
Respiratory Organ‐on‐a‐Chip for Disease Modeling: From Architecture to Functional Integration
Respiratory organ‐on‐a‐chip (ROC) models capture key mechanical and cellular cues of the human respiratory system, enabling quantitative dissection of disease mechanisms. This review links ROC architectures to disease modeling, functional integration, and commercialization, and proposes a decision framework that aligns model complexity with mechanistic
Jinzhuo Hu +4 more
wiley +1 more source
A hybrid optimal feature selection and Conv-LSTM model (OFSCL) for short-term energy demand forecasting in distribution substations of Ahvaz, Iran. [PDF]
Mehr MM, Farzin H, Mashhour E.
europepmc +1 more source
Photothermal‐Activated Antibacterial Amyloid‐Polyphenol‐Iron Hydrogels for Synergistic Wound Healing
We report a thermally triggered supramolecular hydrogel (LTFe) formed by Fe3+ and tannic acid on lysozyme amyloid fibrils. Fe3+ enables rapid gelation and photothermal transduction with an efficiency of 88.56%. The LTFe hydrogel exhibits excellent biocompatibility, potent antibacterial activity against E. coli and S.
Di Wu +8 more
wiley +1 more source
Deep residual networks with convolutional feature extraction for short-term load forecasting. [PDF]
Liu J +4 more
europepmc +1 more source
Microengineered Gradient Hydrogels for Mechanobiology
Gradient hydrogels are used to mimic the mechanical heterogeneity in native tissues, offering powerful in vitro platforms to study cell‐material interactions in diverse pathophysiological contexts. Here, we present a comprehensive review of the design and experimental considerations for stiffness gradient hydrogels, discussing exemplary achievements ...
Shin Wei Chong +4 more
wiley +1 more source

