Results 51 to 60 of about 6,092,270 (213)
The scientific community believes that peer-to-peer energy trading will dominate a significant portion of forthcoming power generation systems research.
Faiza Qayyum +3 more
doaj +1 more source
Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source
Distributed robust operation strategy of multi‐microgrid based on peer‐to‐peer multi‐energy trading
In microgrid (MG) systems, traditional centralised energy trading models can lead to issues such as low energy efficiency due to unstable energy supply and lack of flexibility.
Jin Gao +5 more
doaj +1 more source
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers +19 more
wiley +1 more source
Distributed energy resources are small-scale and widely-distributed, which make them unable to directly participate in the energy trading. Therefore, it is proposed by an optimal energy trading strategy for local electricity market with multiple ...
Chuihui ZENG +3 more
doaj +1 more source
A Market-Based Mechanism for Local Energy Trading in Integrated Electricity-Heat Networks [PDF]
Due to the proliferation of power-to-X-to-power (P2X2P) conversion technologies across various energy systems, the sector-integration concept has gained considerable attention in recent years.
Haghifam, Sara +5 more
core +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
AMamNet: Attention-Enhanced Mamba Network for Hyperspectral Remote Sensing Image Classification
Hyperspectral imaging, a key technology in remote sensing, captures rich spectral information beyond the visible spectrum, rendering it indispensable for advanced classification tasks. However, with developments in hyperspectral imaging, spatial–spectral
Chunjiang Liu +4 more
doaj +1 more source
Glucagon‐Like Peptide‐1 Receptor Agonists in Multiple Sclerosis: A Topical Narrative Review
ABSTRACT The glucagon‐like peptide‐1 (GLP‐1) receptor agonists (RAs) are a relatively new class of drugs that were initially approved by the US Food and Drug Administration to improve glycemic control in patients with type 2 diabetes mellitus and, subsequently, weight reduction in patients with obesity.
Audrey Y. Chang, Farrah J. Mateen
wiley +1 more source
The integration of blockchain technology with energy community trading represents a promising frontier in the energy sector, offering innovative solutions to challenges in energy trading and management.
Wenhu Tang +6 more
doaj +1 more source

