Results 51 to 60 of about 77,938 (282)
Defect Analysis of the β– to γ–Ga2O3 Phase Transition
The role of defects at all the relevant stages of the β$\beta$‐ to γ$\gamma$‐Ga2O3 polymorph transition is investigated using a multi method approach. The positron annihilation spectroscopy based results show that the defect density decreases after the transition, and that changes in defect configuration within the γ phase occur with increasing ...
Umutcan Bektas +9 more
wiley +1 more source
Entanglement entropy on a fuzzy sphere with a UV cutoff
We introduce a UV cutoff into free scalar field theory on the noncommutative (fuzzy) two-sphere. Due to the IR-UV connection, varying the UV cutoff allows us to control the effective nonlocality scale of the theory.
Chen, Hong Zhe, Karczmarek, Joanna L.
core +1 more source
Conditional Probabilities and Fuzzy Entropy
Let \((\Omega, S, P)\) be a probability space and \(A \in S\) an event with its indicator function \(1_ A\). It is well-known that the conditional probability with respect to a subfield \(G \subset S\) satisfies \(P(A \mid G) = 1_ A\) if \(A \in G\) and that \(P(A \mid G)\) is a general function on [0,1] if \(A\) is not measurable with respect to \(G\).
openaire +3 more sources
There is a significant need for biomaterials with well‐defined stability and bioactivity to support tissue regeneration. In this study, we developed a tunable microgel platform that enables the decoupling of stiffness from porosity, thereby promoting bone regeneration.
Silvia Pravato +9 more
wiley +1 more source
Deterministic Annealing Approach to Fuzzy C-Means Clustering Based on Entropy Maximization
This paper is dealing with the fuzzy clustering method which combines the deterministic annealing (DA) approach with an entropy, especially the Shannon entropy and the Tsallis entropy.
Makoto Yasuda
doaj +1 more source
Semantic Information G Theory and Logical Bayesian Inference for Machine Learning [PDF]
An important problem with machine learning is that when label number n\u3e2, it is very difficult to construct and optimize a group of learning functions, and we wish that optimized learning functions are still useful when prior distribution P(x) (where ...
Lu, Chenguang
core +1 more source
Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore
To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul +8 more
wiley +1 more source
Entropy and similarity measures of q-rung orthopair fuzzy soft sets and their applications in decision making problems [PDF]
The q-rung orthopair fuzzy set can represent a wide range of uncertainty in information. When combined with a soft set, the resulting notion of a q-rung orthopair fuzzy soft set (OFSSq ) is more effective in dealing with uncertainties as it allows for ...
Aparna Sivadas, Sunil John
doaj +1 more source
Microsphere Autolithography—A Scalable Approach for Arbitrary Patterning of Dielectric Spheres
MicroSphere Autolithography (µSAL) enables scalable fabrication of patchy particles with customizable surface motifs. Focusing light through dielectric microspheres creates well defined, tunable patches via a conformal poly(dopamine) photoresist. Nearly arbitrary surface patterns can be achieved, with the resolution set by the index contrast between ...
Elliott D. Kunkel +3 more
wiley +1 more source
Properties of Risk Measures of Generalized Entropy in Portfolio Selection
This paper systematically investigates the properties of six kinds of entropy-based risk measures: Information Entropy and Cumulative Residual Entropy in the probability space, Fuzzy Entropy, Credibility Entropy and Sine Entropy in the fuzzy space, and ...
Rongxi Zhou +3 more
doaj +1 more source

