Results 61 to 70 of about 20,542 (239)

The Power of Spousal Support in Ministry: A Longitudinal Study of Social Support Profiles, Marital Quality, and Ministry Satisfaction Among United Methodist Clergy

Journal for the Scientific Study of Religion, EarlyView.
ABSTRACT For many occupations, the toll of work‐related stressors on job satisfaction may be mitigated by social and emotional support. However, social support may be different for clergy, considering their unique work environment. Using data from the Clergy Health Initiative Longitudinal Survey, this study examines the relationship between different ...
Malik Muhammad Sohail, Bo‐Hyeong Jane Lee, Glaucia Nascimento Salgado, Rae Jean Proeschold‐Bell   +3 more
wiley   +1 more source

Deep Learning Reconstruction Enables Diagnostic‐Quality 0.4T Knee and Spine MRI in One‐Third of the Time

NMR in Biomedicine, Volume 39, Issue 5, May 2026.
The deep learning model CIRIM successfully accelerated knee and spine data up to an acceleration factor of 3, after optimizing the undersampling mask and loss function. The model demonstrated robustness and generalizability to different contrasts, matrix sizes, orientations, and anatomies. ABSTRACT There has been a growing interest in low‐field MRI due
Daisy M. van den Berg, Rosario Varriale, Fabrizio Ferrando, Paolo Traverso, Luca Balbi, Giacomo Belgiorno, Kerensa Beekman, Laura Kox, Gustav J. Strijkers, Matthan W. A. Caan   +9 more
wiley   +1 more source

An optimal factor analysis approach to improve the wavelet-based image resolution enhancement techniques [PDF]

, 2016
The existing wavelet-based image resolution enhancement techniques have many assumptions, such as limitation of the way to generate low-resolution images and the selection of wavelet functions, which limits their applications in different fields.
Jenkins, Karl W., Witwit, Wasnaa, Zhao, Yifan, Zhao, Yitian   +3 more
core  

Efficient Gaussian Simulations of Fermionic Open Quantum Systems

Advanced Quantum Technologies, Volume 9, Issue 4, April 2026.
Building upon Bravyi's fundamental theoretical framework, efficient classical simulation methods are reviewed and further developed for general fermionic Gaussian processes. The emphasis remains on a unified approach applicable to generic fermionic Gaussian operations.
Yinan Fang, Hyesung Choi, Minchul Lee, Mahn‐Soo Choi   +3 more
wiley   +1 more source

Enhanced Crack Detection in Composite Plates: Integrating Haar Wavelet Transform with Convolutional Neural Networks [PDF]

E3S Web of Conferences
In order to ensure structural integrity, detecting cracks, as a common structural flaw, is crucial. The current study presents a method for crack detection and prediction in plates under free vibration using the Convolutional Neural Network (CNN) and the
Mehrparvar Marmar, Majak Jüri, Karjust Kristo   +2 more
doaj   +1 more source

Advancing COVID-19 Understanding: Simulating Omicron Variant Spread Using Fractional-Order Models and Haar Wavelet Collocation

Mathematics, 2023
This study presents a novel approach for simulating the spread of the Omicron variant of the SARS-CoV-2 virus using fractional-order COVID-19 models and the Haar wavelet collocation method.
Zehba Raizah, Rahat Zarin
doaj   +1 more source

A Multiscale Guide to Brownian Motion

, 2015
We revise the Levy's construction of Brownian motion as a simple though still rigorous approach to operate with various Gaussian processes. A Brownian path is explicitly constructed as a linear combination of wavelet-based "geometrical features" at ...
Beliaev, Dmitry, Grebenkov, Denis S., Jones, Peter W.   +2 more
core   +1 more source

Using Automated Psychological Tools for Understanding and Improving Mental Health Outcomes in Aotearoa

Journal of the Royal Society of New Zealand, Volume 56, Issue 2, April 2026.
Aotearoa New Zealand has one of the highest rates of anxiety and depression globally, with Māori and Pacific groups carrying the greatest burden. We need to better understand the driving factors to improve the availability and flexibility of our treatment pathways.
Olivia K. Harrison, Kelis Tosala (Ngāti Manawa, Tūhoe, Ngāti Maniapoto, Te Rarawa; Ngāti Awa), Char’lee A. D. Jones (Ngāi Takoto, Ngāti Kahu, Ngāti Kurī, Te Aupōuri), Rebekah Kennedy, Alireza F. Nia, Gonzalo D. Maso Talou, Cassandra Dawson, Martin Sellbom, Esther Willing (Ngāti Toarangatira, Ngāti Koata, Ngā Ruahine), Ella McLeod, Dirk Johannßen, Merata Kawharu (Ngāti Whātua, Ngāpuhi), Stephanie Schoss, Amanda Clifford (Waitaha, Kāi Tahu, Kāti Māmoe)   +24 more
wiley   +1 more source

Skellam shrinkage: Wavelet-based intensity estimation for inhomogeneous Poisson data

, 2009
The ubiquity of integrating detectors in imaging and other applications implies that a variety of real-world data are well modeled as Poisson random variables whose means are in turn proportional to an underlying vector-valued signal of interest. In this
Hirakawa, Keigo, Wolfe, Patrick J.
core   +2 more sources

Haar Wavelet Method For Solving Fitz Hugh-Nagumo Equation

, 2010
In this paper, we develop an accurate and efficient Haar wavelet method for well-known FitzHugh-Nagumo equation. The proposed scheme can be used to a wide class of nonlinear reaction-diffusion equations. The power of this manageable method is confirmed. Moreover the use of Haar wavelets is found to be accurate, simple, fast, flexible, convenient, small
G.Hariharan, K.Kannan
openaire   +1 more source