Do on/off time series models reproduce emerging stock market comovements? [PDF]
Using nonlinear modeling tools, this study investigates the comovements between the Mexican and the world stock markets over the last three decades.
Mohamed el hédi Arouri, Fredj Jawadi
core
Hydrothermal Humification of Biomass for Circular Carbon Management in Sustainable Agro‐Ecosystems
Advanced Science, EarlyView.This article provides a comprehensive overview of biomass hydrothermal humification for building sustainable agro‐ecosystems. It examines the chemical transformation mechanisms and the functional benefits of the produced humic acids in soil remediation.
Ziyun Liu +4 more
wiley +1 more source
The Role of Interest Rates and Productivity Shocks in Emerging Market Fluctuations [PDF]
In this paper we use a quantitative model to explore the potential frictions that distinguish emerging market business cycles from developed small open economies.
Guita Gopinath, Mark Aguiar
core
Linking customer big data analytics to firm performance: evidence from B2B organizations in an emerging market context. [PDF]
Front Artif IntellSoomro YA, Baeshen Y.
europepmc +1 more source
COVID and the outlook for emerging markets
Journal of Policy Modeling, 2022 openaire +2 more sources
Advanced Science, EarlyView.This study addresses the rapid renal clearance of anti‐HER2 nanobodies by developing specialized liposomal carriers. It details the formulation of dual modified liposomes, demonstrating how PEGylation preserves structural integrity and cell‐penetrating peptides enhance cellular interaction.
Giulia Pander +14 more
wiley +1 more source
Gallium Nitride for Space Photovoltaics: Properties, Synthesis Methods, Device Architectures and Emerging Market Perspectives. [PDF]
Micromachines (Basel)Drabczyk A +9 more
europepmc +1 more source
The effect of mineral saving and energy on the ecological footprint in an emerging market: evidence from novel Fourier based approaches. [PDF]
Lett Spat Resour Sci, 2023 Sofuoğlu E, Kirikkaleli D.
europepmc +1 more source
Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy
Advanced Science, EarlyView.MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang +11 more
wiley +1 more source