Results 141 to 150 of about 34,857 (308)
TDP‐43 Aggregation: The Healthy‐Toxic Balance of the Prion‐Like Domain
Advanced Science, EarlyView.TDP‐43 function relies on a delicate balance between reversible phase‐separated states and irreversible aggregation. Under physiological conditions, TDP‐43 forms dynamic droplets and oligomers that support normal cellular functions. In pathological contexts, this balance shifts toward aberrant aggregation, leading to toxic species.
Luca Zangrando +2 more
wiley +1 more source
Advanced Science, EarlyView.ABSTRACT Glioblastoma multiforme (GBM) remains largely incurable due to the blood‐brain barrier (BBB) and immunosuppressive microenvironment. While boron neutron capture therapy (BNCT) selectively eradicates tumor cells via 10B(n, α)‐7Li reactions, its clinical potential in GBM is unrealized because of the suboptimal pharmacokinetics of conventional ...
Jiawen Chen +22 more
wiley +1 more source
Flexible Models with Evolving Structure [PDF]
, 2004 A type of flexible model in the form of a neural network (NN) with evolving structure is discussed in this study. We refer to models with amorphous structure as flexible models.
Angelov, Plamen, Filev, Dimitar
core
Advanced Electronic Materials, EarlyView.In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar +9 more
wiley +1 more source
, 1999 In this work we provide a short survey of the most frequently used fuzzy reasoning schemes. The paper is organized as follows: in the first section we introduce the basic notations and definitions needed for fuzzy inference systems; in the second ...
Fullér, Róbert
core
General fuzzy min-max neural network for clustering and classification
, 2000 This paper describes a general fuzzy min-max (GFMM) neural network which is a generalization and extension of the fuzzy min-max clustering and classification algorithms of Simpson (1992, 1993).
Gabrys, Bogdan, Bargiela, Andrzej
core +1 more source
Advanced Electronic Materials, EarlyView.In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
Advancing Energy Materials by In Situ Atomic Scale Methods
Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
Advanced Energy Materials, EarlyView.Boron‐oxide‐assisted particle engineering stabilizes O3‐type layered cathodes for sodium‐ion batteries by mitigating phase transitions and lattice strain. Acting as flux and structural modifier, boron forms submicron hexagonal platelets with (003) facets and expanded Na‐layer spacing, enabling rapid Na⁺ diffusion and mechanical resilience.
Tengfei Song +9 more
wiley +1 more source
AIChE Journal, EarlyView.ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho +4 more
wiley +1 more source