Results 61 to 70 of about 5,356,889 (303)
The Effect of Private Information on Investment and Dividend Policy [PDF]
The Effect of Private Information on Investment and Dividend Policy Abstract Private Information, affect Investment and Dividend Policy, investor don’t desire to purchase firm’s security with more private Information, also increase demand for payout ...
gholamreza kordestani, tahere teymori
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
The COVID-19 pandemic has undermined the ability of many countries to achieve the Sustainable Developments Goals (SDGs) by 2030. Here, we systematically assess the likely impacts of the pandemic on progress towards each SDG by 2030 at global, regional ...
Haixia Yuan +6 more
doaj +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
The County Investment Policy 2018
The County Investment policy addresses private investments at the county. It is a comprehensive and harmonized policy to guide attraction, facilitation, retention, monitoring and evaluation of private investment.
core +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
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
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
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
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais +32 more
wiley +1 more source
Vihiga County Investment Policy 2018
It will be the policy of Vihiga county to invest its funds in a manner which will provide the highest investment returns consistent with a high degree of security while meeting the daily cash flow demands of the county in accordance with the law ...
core +1 more source
Furrow tillage resolves the conventional‐vs.‐no‐tillage trade‐off by simultaneously cutting CO2 efflux to 2.0–3.0 g C m−2 d−1 and unlocking high nutrient availability for the rice rhizosphere. This scalable agronomic solution strengthens soil health, enhances plant physiology, reshapes microbial metabolism, and shifts paddy systems toward a net ...
Arnab Majumdar +10 more
wiley +1 more source

