Modeling chaotic diabetes systems using fully recurrent neural networks enhanced by fractional-order learning. [PDF]
Sci RepMostafa E, Mahmoud TA, El-Brawany MA.
europepmc +1 more source
Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications
Advanced Functional Materials, EarlyView.Protonic devices that couple ionic and electronic transport are demonstrated as bioinspired neuromorphic elements. The devices exhibit rubber‐like asymmetric memristive behavior with slow voltage‐driven conductance increase and rapid relaxation, enabling simplified read–write operation.
Nada H. A. Besisa +6 more
wiley +1 more source
Machine learning-guided identification and simulation-based validation of potent JAK3 inhibitors for cancer therapy. [PDF]
PLoS OneWei H, Wang Q.
europepmc +1 more source
Bio‐Inspired Molecular Events in Poly(Ionic Liquids)
Advanced Functional Materials, EarlyView.Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley +1 more source
Enhancement of stability and electronic properties of ultra-high nickel cathodes by aluminium and boron codoping studied by combined density functional theory and neural network models. [PDF]
RSC AdvVo Anh Duy N +7 more
europepmc +1 more source
Frontier Advances of Emerging High‐Entropy Anodes in Alkali Metal‐Ion Batteries
Advanced Functional Materials, EarlyView.Recent advances in microscopic morphology control of high‐entropy anode materials for alkali metal‐ion batteries. Abstract With the growing demand for sustainable energy, portable energy storage systems have become increasingly critical. Among them, the development of rechargeable batteries is primarily driven by breakthroughs in electrode materials ...
Liang Du +14 more
wiley +1 more source
scMFF: a machine learning framework with multiple feature fusion strategies for cell type identification. [PDF]
BMC BioinformaticsSun N +5 more
europepmc +1 more source
A Computational Journey Toward an Optimal Design for Metamaterial Epicardial Passive Sleeves
Advanced Healthcare Materials, EarlyView.Passive epicardial sleeves are evaluated in 3D in‐silico heart models to reveal how sleeve geometry, stiffness, anisotropy, and metamaterial architecture influence cardiac mechanics after myocardial infarction. A continuum‐to‐auxetic design exploration shows that region‐specific mechanical engagement can reduce infarct bulging and modulate torsional ...
Vahid Naeini +8 more
wiley +1 more source
Machine learning and bifurcation analysis in a discrete predator-prey model with neem-induced mortality. [PDF]
Sci RepMehmood T +3 more
europepmc +1 more source
Advanced Healthcare Materials, EarlyView.A novel blood‐brain barrier‐penetrating terpolymer nanoparticle to deliver brain‐derived neurotrophic factor (BDNF) for the treatment of Alzheimer's disease (AD) is designed. The BDNF‐TPN significantly enhances BDNF accumulation in the brain following intravenous injection, reduces apoptosis and neuroinflammation, thus promoting neuronal survival and ...
Lily Yi Li +8 more
wiley +1 more source