Results 61 to 70 of about 156,386 (347)

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High BMI: A Secondary Analysis of the IDEA Trial

open access: yesArthritis Care &Research, Accepted Article.
Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck   +10 more
wiley   +1 more source

Testing Separability of Japanese Demand for Meat and Fish within Differential Demand Systems

open access: yesJournal of Agricultural and Resource Economics, 1999
The separability of meat products from fish products is investigated to gain a better understanding of Japanese consumer choices in protein demand. Rather than view fish as a single homogeneous commodity, fish and seafood are categorized into several ...
James S. Eales, Cathy A. Roheim
doaj   +1 more source

Separability criterion and inseparable mixed states with positive partial transposition [PDF]

open access: yes, 1997
It is shown that any separable state on the Hilbert space 7-1= XI 8 l-t2 can be written as a convex combination of N pure product states with N < (dim’H)‘.
P. Horodecki
semanticscholar   +1 more source

On separability properties in direct products of semigroups [PDF]

open access: yes, 2021
We investigate four finiteness conditions related to residual finiteness: complete separability, strong subsemigroup separability, weak subsemigroup separability and monogenic subsemigroup separability. For each of these properties we examine under which
O'Reilly, Gerard Aidan   +7 more
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Tests for separability in nonparametric covariance operators of random surfaces [PDF]

open access: yes, 2015
The assumption of separability of the covariance operator for a random image or hypersurface can be of substantial use in applications, especially in situations where the accurate estimation of the full covariance structure is unfeasible, either for ...
J. Aston, D. Pigoli, Shahin Tavakoli
semanticscholar   +1 more source

Chitin‐Derived Carbon‐Metal Functional Materials

open access: yesAdvanced Functional Materials, EarlyView.
Functional carbon materials are synthesized from combination of biopolymer (chitin) and iron precursors. The resultant material exhibits superior surface area and adsorptive properties compared to carbon materials synthesized directly from pure chitin.
Herry Fang   +7 more
wiley   +1 more source

Smallest state spaces for which bipartite entangled quantum states are separable

open access: yesNew Journal of Physics, 2015
According to usual definitions, entangled states cannot be given a separable decomposition in terms of products of local density operators. If we relax the requirement that the local operators be positive, then an entangled quantum state may admit a ...
Hussain Anwar   +3 more
doaj   +1 more source

Partial separability revisited II: Multipartite entanglement measures [PDF]

open access: yes, 2015
The main concern of this paper is how to define proper measures of multipartite entanglement for mixed quantum states. Since the structure of partial separability and multipartite entanglement is getting complicated if the number of subsystems exceeds ...
Szilárd Szalay
semanticscholar   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

open access: yesAdvanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar   +9 more
wiley   +1 more source

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