Results 131 to 140 of about 21,664 (282)

Analysis of Real and Nominal Convergence (Example of Visegrad Group Countries)

open access: yes, 2018
Práca je zameraná na problematiku ekonomickej konvergencie a jej cieľom je analyzovať reálne a nominálne konvergenčné procesy krajín Vyšehradskej štvorky k EÚ15 v rokoch 1995-2016.
Lipovská, Monika
core   +1 more source

Large‐Scale Genomics Reveals Three‐Source Ancestry and Layered Adaptation to High Altitude in Tibetan Chickens

open access: yesAdvanced Science, EarlyView.
Whole‐genome analysis of 1,054 chickens reveals three ancestral sources (NWC, SYA, and SHF) with distinct temporal entry patterns into the Tibetan Plateau. Route‐specific selection scans, calibrated against a demographic null, suggest complementary functional enrichments—vascular homeostasis (NWC), calcium signaling and cardiac adaptation (SYA), and ...
Zongyi Zhao   +7 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Nominal Convergence [PDF]

open access: yes
After presenting the institutional construction during the pre-accession and post-accession to the Economic and Monetary Union (EMU), the exchange rate mechanisms (ERM) in several countries and the convergence criteria, we go on with a brief analysis of ...
Aurel Iancu
core   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Carbon Interlayer with Uniformly Anchored ZnO Nanoparticles: Surface‐Energy‐Driven Coble Creep for Practical Anode‐Free Solid‐State Batteries

open access: yesAdvanced Science, EarlyView.
We used a zinc oxide–carbon composite interlayer (ZnO@C) via the electron‐beam (e‐beam) irradiation method to fabricate a cost‐effective, high‐energy‐density, anode‐free solid‐state battery. Chemical anchoring between the ZnO and carbon enabled uniform nanoscale morphology, mitigating the high surface energy of the ZnO NPs.
Joonhyeok Park   +16 more
wiley   +1 more source

Nominal convergence of the new member states of the European Union

open access: yes, 2011
An Economic and Monetary Union is the next stage of European integration. The membership in the euro zone should result in strengthening the safety and stability of the national economy.
Pastuszka, Sławomir
core  

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

open access: yesAdvanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng   +5 more
wiley   +1 more source

Development of Nominal Convergence Indicators in New Member States of European Union under the Challenges of Economic and Financial Crisis

open access: yes
The importance of compliance with nominal convergence criteria is crucial for adopting the euro in New Member States (NMS). Although some of these countries have made remarkable efforts for complying with nominal criteria, structural and conjunctional ...
Alina Georgeta Glod   +3 more
core  

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

open access: yesAdvanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang   +5 more
wiley   +1 more source

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