Results 91 to 100 of about 9,197,714 (301)

Multiplicative uncertainty, central bank transparency and optimal degree of conservativeness [PDF]

open access: yes
This paper extends the results of Kobayashi (2003) and Ciccarone and Marchetti (2009) by considering the optimal choice of central bank conservativeness. It is shown that the government can choose a sufficiently populist but opaque central banker so that
Meixing Dai
core  

Hidden Periodicity and Chaos in the Sequence of Prime Numbers

open access: yesAdvances in Mathematical Physics, 2011
Logarithmic gaps have been used in order to find a periodic component of the sequence of prime numbers, hidden by a random noise (stochastic or chaotic).
A. Bershadskii
doaj   +1 more source

On trees and the multiplicative sum Zagreb index

open access: yesCommunications in Combinatorics and Optimization, 2016
For a graph $G$ with edge set $E(G)$‎, ‎the multiplicative sum Zagreb index of $G$ is defined as‎ ‎$\Pi^*(G)=\Pi_{uv\in E(G)}[d_G(u)+d_G(v)]$‎, ‎where $d_G(v)$ is the degree of vertex $v$ in $G$‎.
M‎. ‎Eliasi, A‎. ‎Ghalavand
doaj   +1 more source

Functional Differentiation of Type II and Type I Collagen Articular Models in Synovial Fluid Film Formation and Recombinant Equine Lubricin Retention

open access: yesAdvanced Functional Materials, EarlyView.
Collagen II coatings support the formation of synovial fluid nanofilms, while collagen I coatings do not. Both bind recombinant equine lubricin similarly. These findings may help explain articular cartilage surface joint dysfunction, inform biomaterial design for synovial joint repair, and expand on lubricin‐based osteoarthritis therapies.
Diego R. Jaramillo Pinto   +12 more
wiley   +1 more source

Capturing common components in high-frequency financial time series : a multivariate stochastic multiplicative error model [PDF]

open access: yes, 2007
We introduce a multivariate multiplicative error model which is driven by componentspecific observation driven dynamics as well as a common latent autoregressive factor.
Hautsch, Nikolaus
core  

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

open access: yesAdvanced 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

Load Distributing Metamaterials Via Discrete Optimization

open access: yesAdvanced Functional Materials, EarlyView.
Mechanical metamaterials are computationally optimized to homogenize transmitted forces by minimizing the spread of reaction forces. The resulting architectures transform localized loading into broader, more uniform force distributions and experimentally demonstrate robust load spreading under quasi‐static and impact loading.
Andrea Detry   +6 more
wiley   +1 more source

An Adaptive Fractional-Order Variation Method for Multiplicative Noise Removal

open access: yes, 2016
This paper aims to develop a convex fractional-order variation model for image multiplicative noise removal, where the regularization parameter can be adjusted adaptively according to balancing principle at each iterations to control the trade-off ...
Du YK(杜英魁)   +2 more
core  

Microscale Patterning of Ultrahigh‐Viscosity Metallic‐Polymer Composites via Embedded Droplet Writing

open access: yesAdvanced Functional Materials, EarlyView.
A hybrid additive manufacturing platform integrates direct droplet writing of metallic composite with VAT photopolymerization to fabricate architected soft magnetic composites. This approach enables microscale patterning of high‐viscosity materials for programmable actuators, adaptive fluidic devices, and switchable adhesives, offering tunable ...
Yeowon Yoon   +4 more
wiley   +1 more source

Composition Orderings for Linear Functions and Matrix Multiplication Orderings

open access: yesCoRR
We consider composition orderings for linear functions of one variable. Given $n$ linear functions $f_1,\dots,f_n$ and a constant $c$, the objective is to find a permutation $σ$ that minimizes/maximizes $f_{σ(n)}\circ\dots\circ f_{σ(1)}(c)$. It was first studied in the area of time-dependent scheduling, and known to be solvable in $O(n\log n)$ time if ...
Susumu Kubo   +2 more
openaire   +4 more sources

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