Results 61 to 70 of about 6,423,621 (330)

Integration of Perovskite/Low‐Dimensional Material Heterostructures for Optoelectronics and Artificial Visual Systems

open access: yesAdvanced Functional Materials, EarlyView.
Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du   +11 more
wiley   +1 more source

An advocacy coalition framework of policy change and the role of policy-oriented learning therein

open access: yes, 1988
There has been a great deal of research in recent years concerning the use of substantive policy analysis in public policy-making. This paper seeks to integrate those findings - e.g., the ‘enlightenment function’ of policy research - into a more general ...
P. Sabatier
semanticscholar   +1 more source

Evolving Platinum‐Copper Nanostructures for Enhanced Photothermal Therapy and Controlled Copper Release in Cancer Therapy

open access: yesAdvanced Functional Materials, EarlyView.
Platinum‐Copper bimetallic nanoparticles may evolve depending on their synthesis under tumor microenvironment conditions and play a dual role as chemotherapeutic agents after releasing Cu ions and as near infrared photothermal agents with the Pt‐rich remaining frames.
Jose I. Garcia‐Peiro   +7 more
wiley   +1 more source

Moderation in Australia-Policy and Achievements

open access: yesBiological Research, 2004
Alcohol has been consumed in Australia since European settlement in 1788. In 1998, approximately 60 % of Australians consumed an alcoholic beverage at least once per week.
CREINA STOCKLEY
doaj  

Policy Uncertainty and Corporate Investment

open access: yes, 2015
Using a news-based index of policy uncertainty, we document a strong negative relationship between firm-level capital investment and the aggregate level of uncertainty associated with future policy and regulatory outcomes.
Huseyin Gulen, Mihai Ion
semanticscholar   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

Reconfigurable Nucleic Acid Nanoparticles with Therapeutic RNAi Responses to Intracellular Disease Markers

open access: yesAdvanced Functional Materials, EarlyView.
Many known diseases arise from dysregulated gene expression, and differentially expressed genes can serve as biomarkers to distinguish diseased cells from healthy tissues. In this study, reconfigurable nucleic acid nanoparticles (recNANPs) are introduced that can detect overexpressed cancer biomarkers and subsequently release RNAi inducers to silence ...
Yelixza I. Avila   +7 more
wiley   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

open access: yesAdvanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu   +5 more
wiley   +1 more source

Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach

open access: yes, 2003
Structural vector autoregressions (VARs) are widely used to trace out the effect of monetary policy innovations on the economy. However, the sparse information sets typically used in these empirical models lead to at least two potential problems with the
B. Bernanke, Jean Boivin, Piotr Eliasz
semanticscholar   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

open access: yesAdvanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque   +5 more
wiley   +1 more source

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