Results 61 to 70 of about 10,836 (207)

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

Experimental Factors and Techniques for Pool Boiling Heat Transfer Enhancement: A Critical Review

Heat Transfer, EarlyView.
ABSTRACT This review presents a comprehensive assessment of active strategies for enhancing pool boiling heat transfer, with a focus on techniques that do not rely solely on the boiling surface modification. It examines a broad range of methodologies including fluid additives, external fields, mechanical interventions, and thermal‐geometric tuning that
José E. Pereira, R. R. Souza, A. S. Moita   +2 more
wiley   +1 more source

Mergers and Acquisitions and Brexit: A Natural Experiment

International Journal of Finance &Economics, EarlyView.
ABSTRACT We study the impact of Brexit uncertainty on one of the most important forms of corporate investment: mergers and acquisitions (M&As). Brexit provides us with an ideal natural experiment to explore the real effects of economic uncertainty and understand the underlying transmission mechanism. We document a significant decline in the number of M&
Di Luo, Tapas Mishra, Mamata Parhi, Zhuang Zhang   +3 more
wiley   +1 more source

From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks

Journal of Applied Econometrics, EarlyView.
ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe, Mikael Frenette, Karin Klieber   +2 more
wiley   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, EarlyView.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source

CSR disclosure and investment efficiency in MENA countries: The moderating role of CSR committee

Strategic Change, EarlyView.
ABSTRACT Corporate social responsibility disclosure (CSRD) is often recognized as a transparency mechanism that allows companies to communicate their commitment to CSR. However, CSRD may also exacerbate agency conflicts. This study addresses these two contrasting perspectives by investigating the impact of CSRD on investment efficiency and exploring ...
Mohamed Malek Belhoula, Imen Khanchel, Naima Lassoued, Rouba Jebri   +3 more
wiley   +1 more source

An Improved Quantum-Behaved Particle Swarm Optimization Algorithm with Elitist Breeding for Unconstrained Optimization. [PDF]

Comput Intell Neurosci, 2015
Yang ZL, Wu A, Min HQ.
europepmc   +1 more source

Prior osteosynthesis—unlike osteotomy—raises revision risk after total knee arthroplasty, predominantly via periprosthetic infection

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Previous knee surgery is discussed as a risk factor for total knee arthroplasty (TKA), yet most reports do not distinguish between osteotomy and osteosynthesis. The German Operationen‐ und Prozedurenschlüssel (OPS)‐based classification was used to compare the impact of these procedures on implant survival, mortality and complications ...
Nele Wagener, Yinan Wu, Alexander Grimberg, Christian Hipfl, Sebastian Hardt   +4 more
wiley   +1 more source

A Conjugate Gradient Algorithm with Function Value Information and N-Step Quadratic Convergence for Unconstrained Optimization. [PDF]

PLoS One, 2015
Li X, Zhao X, Duan X, Wang X.
europepmc   +1 more source

Younger age doubles medium‐term revision risk after total knee arthroplasty: A nationwide multicenter cohort of 5980 knees from the French SCORE I registry

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Although age is a known predictor of outcomes following total knee arthroplasty (TKA), most large‐scale studies rely on registry data that lack clinical detail and combines multiple implant designs. This study aimed to determine whether age has an independent effect on implant survivorship and clinical outcomes when a single TKA design
Alessandro Carrozzo, Émilie Bérard, Ophélie Manchec, Stefano Jacotti, Régis Pailhe, Etienne Cavaignac   +5 more
wiley   +1 more source