Results 31 to 40 of about 8,837 (179)

Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence From Markov‐Switching Multifractal Models

Journal of Forecasting, EarlyView.
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu, Mawuli Segnon, Oguzhan Cepni, Rangan Gupta   +3 more
wiley   +1 more source

Technological Evolution in Fintech: A Decadal Scientometric and Systematic Review of Developments and Criticisms

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley   +1 more source

Arbuscular mycorrhizal fungal community abundance, functions, and symbiotic interactions revealed by root metatranscriptomes

iMetaOmics, EarlyView.
Paradigm shift: PCR‐free methods reveal 6–15‐fold higher arbuscular mycorrhizal (AM) fungal abundance than metabarcoding, exposing systematic underestimation across decades of research. Predictive power: AM fungal abundance serves as a community‐level trait that predicts crop yield under drought conditions.
Peilin Chen, John W. Taylor, Cheng Gao
wiley   +1 more source

A Comparative Study of IVIM‐MRI Fitting Techniques in Glioma Grading: Conventional, Bayesian, and Voxel‐Wise and Spatially‐Aware Deep Learning Approaches

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Intravoxel incoherent motion (IVIM) analysis of diffusion‐weighted MRI (DWI) provides microvascular perfusion and diffusion information. However, parameter estimation is limited by noise sensitivity, variability across fitting methods, and lack of standardization.
Misha P. T. Kaandorp, Andras Jakab, Christian Federau, Peter T. While   +3 more
wiley   +1 more source

Embracing Creative Nonconformists and Promoting Them May Require Leaders' High Control Appraisals

Journal of Organizational Behavior, EarlyView.
ABSTRACT Promoting creative employees is essential to innovation and organizational success. However, leaders do not always embrace the nonconformist nature of creative behaviors. This study examines how leaders' control appraisals—a personal orientation reflecting their belief in their own ability to control situations—influence their receptiveness ...
Xue Peng, Wen Cheng, Man‐Nok Wong
wiley   +1 more source

Hidden Markov Quantile Models With Trends for Analysing Air Temperature Data

International Journal of Climatology, EarlyView.
There is the question of whether climate change, expressed by time‐trends in temperature, is of a heterogeneous nature or not. Here, the time‐trend heterogeneity argument has been investigated using Hidden Markov (HM) quantile time‐trends models in temperature time series.
Georgios Tsiotas, Athanassios Argiriou, Anna Mamara   +2 more
wiley   +1 more source

Spatial and temporal variation in survival of female wild turkeys

The Journal of Wildlife Management, EarlyView.
We monitored 370 female wild turkeys across North Carolina's 3 ecoregions from 2020‐2022 to understand factors influencing their survival. Female survival varied by ecoregion and behavior state, with the incubation period having the lowest survival rates. None of the land cover variables affected survival.
David J. Moscicki, Christopher E. Moorman, Bret A. Collier, Christopher Kreh, Hannah Plumpton, Krishna Pacifici   +5 more
wiley   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

Mathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés, Ana Navarro‐Quiles, Sorina Madalina Sferle   +2 more
wiley   +1 more source

The Impact and Reliability of Tissue Segmentation on In Vivo Magnetic Resonance Spectroscopy Metabolite Quantification

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Quantification of metabolite concentrations using MRS requires tissue‐dependent signal corrections. Accurate estimation of voxel tissue composition is therefore essential. Commonly used brain tissue segmentation tools differ in their algorithms and implementation, potentially introducing variability in MRS‐derived concentration ...
Jessica Archibald, Kay Chioma Igwe, Antonia Kaiser, Karl Landheer, Jaimie Lee, John L. K. Kramer, Aaron T. Gudmundson, Helge J. Zöllner, Georg Oeltzschner, Candace C. Fleischer, Niklaus Zölch, Jamie Near, Mark Mikkelsen   +12 more
wiley   +1 more source

Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley   +1 more source