Results 111 to 120 of about 100,496 (301)

Coupled Fluid–Structure–Acoustic Analysis of Flow‐Induced Noise Control Using an Elastic Baffle in a Micro Channel

Energy Science &Engineering, EarlyView.
This research explores how fluid flow, structural movement, and sound interact in an elastic baffle system. Using a numerical approach based on the finite element method, the study analyzes how noise and vibrations change with different baffle configurations. The findings reveal that shortening the baffle by half reduces noise transmission by 9%, while
Tohid Adibi, Seyed Esmail Razavi, Shams Forruque Ahmed, Khashayar Fardnia, Aydin Qheydarpoor, Hammad Alotaibi   +5 more
wiley   +1 more source

The periodic Euler-Bernoulli equation [PDF]

Transactions of the American Mathematical Society, 2003
We continue the study of the Floquet (spectral) theory of the beam equation, namely the fourth-order eigenvalue problem \[ [ a ( x ) u ′ ′ ( x ) ]
openaire   +2 more sources

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

Journal of Forecasting, EarlyView.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

Solving a class of distributed-order time fractional wave-diffusion differential equations using the generalized fractional-order Bernoulli wavelets

Partial Differential Equations in Applied Mathematics
In this research, we propose a new numerical method for solving a class of distributed-order fractional partial differential equations, specifically focusing on distributed-order time fractional wave-diffusion equations.
Ali AbuGneam, Somayeh Nemati, Afshin Babaei   +2 more
doaj   +1 more source

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, EarlyView.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

Solution of the Nonlinear Mixed Volterra-Fredholm Integral Equations by Hybrid of Block-Pulse Functions and Bernoulli Polynomials

The Scientific World Journal, 2014
A new numerical method for solving the nonlinear mixed Volterra-Fredholm integral equations is presented. This method is based upon hybrid functions approximation.
S. Mashayekhi, M. Razzaghi, O. Tripak
doaj   +1 more source

On relativistic hydrodynamics: bernoulli process equations

Physica Scripta
Abstract A relativistic covariant description of a Bernoulli process is presented in terms of a set of two fundamental equations: Newton’s second law and the first law of thermodynamics. The set is first obtained in the rest frame of the process S, then in a frame
J Güémez, J A Mier
openaire   +2 more sources

On the Comovement of Contango and Backwardation Across Futures Commodity Markets

Journal of Futures Markets, EarlyView.
ABSTRACT We examine the time‐varying nature of the comovement of the slope of the futures curve in major agricultural, metals and energy commodity futures markets in a Global Vector Autoregressive model. We find significant comovement between the slopes, indicating the co‐existence of backwardation and contango in many seemingly unrelated commodity ...
Angelo Luisi, Francesco Roccazzella, Athanasios Triantafyllou   +2 more
wiley   +1 more source

Analysis of Upper Airway Morphology Using Four‐Dimensional Dynamic MRI With Active Deep Learning‐Based Automatic Segmentation

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Upper‐airway morphology changes during breathing can be captured with cine 4D MRI. Active‐learning nnU‐Net reduces manual labeling while maintaining accuracy. Purpose For automatic upper airway segmentation on free‐breathing cine 4D MRI using active learning and quantifying dynamic changes under two mouth positions.
Cheng‐Yang Yu, Meng‐Chen Chung, Yunn‐Jy Chen, Han‐Wei Wang, Jonathan X. Zhou, Shih‐Lung Chen, Kevin T. Chen, Tiffany Ting‐Fang Shih   +7 more
wiley   +1 more source

Boundary monotonicity formulae and applications to free boundary problems I: The elliptic case

Electronic Journal of Differential Equations, 2004
We derive a monotonicity formula at boundary points for a class of nonlinear elliptic partial differential equations, including the obstacle problem case, quenching, a free boundary problem with Bernoulli-type free boundary condition as well as the blow ...
Georg S. Weiss
doaj