Results 81 to 90 of about 1,623,179 (299)
Discretization of gene expression data revised [PDF]
, 2015 Gene expression measurements represent the most important source of biological data used to unveil theinteraction and functionality of genes. In this regard, several data mining and machine learning algorithms havebeen proposed that require, in a number ...
Carballido, Jessica Andrea +4 more
core +1 more source
Advanced Functional Materials, EarlyView.Monolithic UV‐ozone oxidation of Ta forms an ultrathin Ta2O5/TaOx bilayer enabling resistive switching with a vertical defect gradient. A stoichiometric surface layer over an oxygen‐deficient sublayer promotes localized filament nucleation near the top interface, enabling low‐voltage operation, and reduced cycle‐to‐cycle variability.
Seunghoon Yang +11 more
wiley +1 more source
Discretization of Continuous Surfaces as a Design Concern
, 2007 The increasing trend in architecture to create unconventional forms opened up a new area of investigations in the employment of computational methods in design and construction. Our investigation is undertaken within a structural engineering firm, Adams
S. Kaijima, P. Michalatos
core
Conformational Switching of Proteins on Material Surfaces Enabled by Peptide‐Oriented Adsorption
Advanced Functional Materials, EarlyView.Responsive biointerfaces could be achieved using conformationally responsive proteins; however, their interconversion can be lost upon surface adsorption. Herein, we demonstrate that the incorporation a Au binding peptide into calmodulin allows for binding control on Au wherein the protein retains conformational switching. This capability was confirmed
Sakthirupini Ramamurthy +7 more
wiley +1 more source
Preservation of Adiabatic Invariants under Symplectic Discretization
, 2007 Symplectic methods, like the Verlet method, are a standard tool for the long term integration of Hamiltonian systems as they arise, for example, in molecular dynamics.
Preprint Sc +2 more
core
Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing
Advanced Functional Materials, EarlyView.A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin +7 more
wiley +1 more source
High order mimetic discretization
, 2017 In this work the High Order Mimetic Discretization Framework will be presented together with a discussion of two fundamental aspects for the construction of structure-preserving discretizations: (i) the definition of the discrete degrees of freedom of ...
Palha, Artur
core +1 more source
High order discretization schemes for stochastic volatility models [PDF]
In usual stochastic volatility models, the process driving the volatility of the asset price evolves according to an autonomous one-dimensional stochastic differential equation. We assume that the coefficients of this equation are smooth.
Mohamed Sbai, Benjamin Jourdain
core
Asymptotic Relative Efficiency of Parametric and Nonparametric Survival Estimators
, 2023 The dominance of non- and semi-parametric methods in survival analysis is not without criticism. Several studies have highlighted the decrease in efficiency compared to parametric methods. We revisit the problem of Asymptotic Relative Efficiency (ARE) of
Szilárd Nemes
core +1 more source
Advanced Functional Materials, EarlyView.The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source