Results 211 to 220 of about 3,003,826 (371)
Target-Mediated Drug Disposition (TMDD) Revisited: High Versus Low-Affinity Approximations of the TMDD Model. [PDF]
Straube R.
europepmc +1 more source
This article explores the development of materials with multi‐scale control at the nanoscale (<100 nm), micrometer‐scale (80 µm), and macro‐scale (multi‐component geometries). This is achieved by applying polymerization‐induced microphase separation (PIMS) process via volumetric 3D printing (Xolography), expanding the design space for functional ...
Xichuan Li+5 more
wiley +1 more source
Study of nonlinear optical absorption and optical sideband generation in a hybrid plasmonic nanoparticle-quantum dot-DNA system in the presence of two optical fields. [PDF]
Abbasi Moghaddam M, Daneshfar N.
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Nonlinear Tchebycheff approximation with constraints
H.L Loeb, G.A Gislason
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Spin Engineering of Dual‐Atom Site Catalysts for Efficient Electrochemical Energy Conversion
This review highlights recent progress in spin engineering of dual‐atom site catalysts (DASCs), emphasizing how spin‐related properties enhance electrocatalytic activity, selectivity, and stability. It summarizes cutting‐edge developments in dual‐atom catalysis, discusses the underlying spin‐catalysis mechanisms and structure–performance relationships,
Dongping Xue+5 more
wiley +1 more source
Adaptive sliding mode fault-tolerant control of UAV systems based on radial basis function neural networks. [PDF]
Zhang D, Meng L, Hao Y, Xia R.
europepmc +1 more source
Observation and detection of neurotransmitter dynamics in aqueous system has been hurdle for analytical fields due to its weak and reversible nature. A terahertz‐nanodisc metasurface which implements comprehensive detection over conformational change and selective sensing is introduced. Utilizing the THz regime photonics and biomimetic environment with
Taeyeon Kim+6 more
wiley +1 more source
Nonlinear filters approximations by cumulant function expansion: The polynomial case
Thierry Huillet, G. Rigal
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Local greedy approximation for nonlinear regression and neural network training [PDF]
Lee Jones
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