Results 91 to 100 of about 8,796 (225)
ABSTRACT The detection of partial discharges (PD) on the power transformer tank demands higher sensitivity in ultrasonic detection. To target the detection frequency band for sensor optimisation and enhance sensitivity, this paper presents a dual‐frequency sensitivity model for optical fibre ultrasonic sensors.
Sihan Wang +4 more
wiley +1 more source
About message routing in different hypercube interconnection network types [PDF]
The paper treats the problem of message routing in different hypercube interconnection network types. Because the communication algorithms frequently use a few basic communication operations, the purpose was to optain relationships for the total ...
M. Popa, M. Stratulat
doaj
ABSTRACT Structural mechanics field simulation plays a critical role in the vibration characteristic analysis of electrical equipment. Existing structural field analysis of equipment based on numerical simulation faces challenges such as convergence difficulties and prolonged computational time, failing to meet the demand for real‐time prediction of ...
Wanqing Wang +6 more
wiley +1 more source
The authors distil how dimensions of biodiversity drive ecosystem processes with increasing temperature. Specifically, species physiology more greatly affected ecosystem primary production than did foraging behaviour, and physiology mediated non‐additive interactions with temperature.
Sean Pierce Richards +2 more
wiley +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Abstract Background and Purpose Positive allosteric modulators bind to secondary binding sites on the receptor and alter receptor conformation and activation, changing agonist potency and efficacy. PTC‐174 is a novel NMDA receptor positive allosteric modulator that particularly enhances activity of receptors containing GluN2C or GluN2D subunits.
Bangyuan Liu, Alasdair J. Gibb
wiley +1 more source
Solving Stochastic Climate‐Economy Models: A Deep Least‐Squares Monte Carlo Approach
ABSTRACT Stochastic versions of recursive integrated climate‐economy assessment models are essential for studying and quantifying policy decisions under uncertainty. However, as the number of state variables and stochastic shocks increases, solving these models via deterministic grid‐based dynamic programming (e.g., value‐function iteration/projection ...
Aleksandar Arandjelović +4 more
wiley +1 more source
Abstract This study provides the first petrographic, crystallographic, and chemical comparison between El Médano 300 (EM 300) and Northwest Africa 8155 (NWA 8155), two particular IAB‐ungrouped iron meteorites. Both contain exceptionally large graphite nodules and “flowers”, providing unique insights into carbon behavior in metallic melts and cooling ...
L. Perez +8 more
wiley +1 more source
Repelled Point Processes With Application to Numerical Integration
ABSTRACT We look at Monte Carlo numerical integration from a stochastic geometry point of view. While crude Monte Carlo estimators relate to linear statistics of a homogeneous Poisson point process (PPP), linear statistics of more regularly spread point processes can yield unbiased estimators with faster‐decaying variance, and thus lower integration ...
Diala Hawat +3 more
wiley +1 more source
Bayesian Inference for Multivariate Monotone Densities
ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley +1 more source

