Results 291 to 300 of about 1,517,214 (350)

Application of decision analytic modelling to cardiovascular disease prevention in Sub-Saharan Africa: a systematic review. [PDF]

Commun Med (Lond)
Oguta JO, Breeze P, Wambiya E, Kibe P, Akoth C, Otieno P, Dodd PJ.   +6 more
europepmc   +1 more source

A note on the determinants of non‐fungible tokens returns

International Journal of Finance &Economics, EarlyView.
Abstract We aim to identify the determinants of non‐fungible tokens (NFTs) returns. The 10 most popular NFTs based on their price, trading volume, and market capitalisation are examined. Twenty‐three potential drivers of the returns of each NFT are considered.
Theodore Panagiotidis, Georgios Papapanagiotou   +1 more
wiley   +1 more source

As One and Many: Relating Individual and Emergent Group-Level Generative Models in Active Inference. [PDF]

Entropy (Basel)
Thestrup Waade P, Lundbak Olesen C, Ehrenreich Laursen J, Nehrer SW, Heins C, Friston K, Mathys C.   +6 more
europepmc   +1 more source

Connectedness Structure and Volatility Dynamics Between BRICS Markets and International Volatility Indices: An Investigation

International Journal of Finance &Economics, EarlyView.
ABSTRACT This research aims to explore and understand the dynamic nature of volatility connectedness between BRICS stock markets and various asset price implied volatility indices through a TVP‐VAR broadened connectedness approach. Results display nontrivial dynamic connectedness in the BRICS stock markets and uncertainties in different markets during ...
Halilibrahim Gökgöz, Salha Ben Salem, Azza Bejaoui, Ahmed Jeribi   +3 more
wiley   +1 more source

A Monte-Carlo planning strategy for medical follow-up optimization: Illustration on multiple myeloma data. [PDF]

PLoS One
de Saporta B, Thierry d'Argenlieu A, Sabbadin R, Cleynen A.   +3 more
europepmc   +1 more source

Forecasting Digital Asset Return: An Application of Machine Learning Model

International Journal of Finance &Economics, EarlyView.
ABSTRACT In this study, we aim to identify the machine learning model that can overcome the limitations of traditional statistical modelling techniques in forecasting Bitcoin prices. Also, we outline the necessary conditions that make the model suitable.
Vito Ciciretti, Alberto Pallotta, Suman Lodh, P. K. Senyo, Monomita Nandy   +4 more
wiley   +1 more source

Economic Benefits of Reduced Waiting Times for Elective Surgeries: A Systematic Literature Review. [PDF]

Cureus
Hren R, Abaza N, Elezbawy B, Khalifa A, Fasseeh AN, Al Gasseer N, Kaló Z.   +6 more
europepmc   +1 more source

A Reversed Early Warning Methodology for Optimal Bank Profit Retention Recommendations

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study introduces a calibration method for the newest policy instrument in prudential supervision by endogenising profit retention targets via a reversed early warning system, depending on the supervisors' risk tolerance, the exposure to the economy, and the level of financial pressure.
Petr Jakubik, Bogdan Gabriel Moinescu
wiley   +1 more source

Cost-effectiveness analysis of FOLFOXIRI/FOLFOXIRI and mFOLFOX6/FOLFIRI treatment in first-line and second-line chemotherapy for metastatic colorectal cancer. [PDF]

BMJ Open
Li X, Bao J, Ma J.
europepmc   +1 more source

Heterogeneity and spatiotemporal evolution characteristics of regional emergency logistics response capacity: a case of China. [PDF]

Front Public Health
Chen H, Lin X, Guo Y, Qi X.
europepmc   +1 more source