Metabolic Memory in Cardiovascular Disease: Encoding, Propagation, and Therapeutic Targeting
Cardiovascular risk often persists after metabolic abnormalities are corrected. This conceptual Review frames such persistence as metabolic memory, encoded through a narrowing therapeutic window from reversible marks to irreversible damage, with continuous input from peripheral organs.
Cheng Cheng +12 more
wiley +1 more source
MATNet: multi-level fusion transformer-based model for day-ahead PV generation forecasting. [PDF]
Tortora M, Conte F, Natrella G, Soda P.
europepmc +1 more source
A scalable process converts para‐aramid fibers into soft‐magnetic building blocks via micrometer‐thick Fe0.64Ni0.36 (Invar‐type) coatings. Assembled into paper, they form a hierarchical conductive network whose tunable permeability enables thin, lightweight microwave absorption in the low‐frequency (S‐band) regime.
You Wu +7 more
wiley +1 more source
Very short-term production prediction for photovoltaic plants using Temporal Convolutional Networks. [PDF]
Samaras L +3 more
europepmc +1 more source
The present study demonstrated that PFOA and HFPO‐TA exposure suppressed CDK4, disrupted MERCs and impaired PINK1/Parkin‐mediated mitophagy, thereby accelerating cardiac senescence, whereas CAG effectively reversed these pathological changes in vitro. Our findings identify CDK4 as a critical regulator bridging mitophagy defects and cardiac senescence ...
Nuo‐Wa Li +6 more
wiley +1 more source
Research on short-term prediction method of photovoltaic power based on HPO-VMD-BiLSTM. [PDF]
Li J, Li L, Du Q, Li Y.
europepmc +1 more source
ABSTRACT Memory T cells exhibit long‐term persistence, a defining feature that underpins durable clinical responses to adoptive immunotherapies. The mechanisms that integrate metabolic cues with transcriptional control of memory fate remain undetermined. Here, we identify HS1‐binding protein 3 (HS1BP3) is preferentially expressed in memory CD8+ T cells.
Siyang Wang +13 more
wiley +1 more source
Contextual recommendation modeling in eCoaching with machine learning, X-AI, and semantic ontology. [PDF]
Chatterjee A, Avazov N.
europepmc +1 more source
Enviromics and Abiotic Enviromics: Enhancing Stress Biology and Plant Resilience Breeding
Environmental stressors are captured through high‐throughput envirotyping and integrated into an enviromic framework with genomic, transcriptomic, phenomic, and environmental data. AI/ML models enable prediction and guide marker‐assisted selection, genomic selection, genome editing, and gene pyramiding toward improved abiotic stress tolerance, yield ...
Guangchao Sun +6 more
wiley +1 more source
Redefining multi-target weather forecasting with a novel deep learning model: Hierarchical temporal convolutional long short-term memory with attention (HTC-LSTM-Attn) in Bangladesh. [PDF]
Kabir MA, Chakma C.
europepmc +1 more source

