Results 61 to 70 of about 6,065,154 (261)
Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj +23 more
wiley +1 more source
Can Air Quality Data Predict Stunting Prevalence?
One of the objectives outlined in the Sustainable Development Goals (SDGs) is to promote good health and well-being, particularly concerning the issue of stunting, which refers to children under five years of age who fall below two standard deviations of
Gonang May Perdananugraha +2 more
doaj +1 more source
This study demonstrates that Tf‐PDA NPs combine a receptor‐mediated targeting with mild photothermal activation to enhance nanoparticle accumulation in the brain. NIR‐activated Tf‐PDA NPs increase BBB permeability to NPs in vitro and in vivo without inducing cytotoxicity or adverse immune responses.
Rafaela Ferrão +5 more
wiley +1 more source
Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source
Policy-mix and SME innovation: Evidence from China.
The question of whether and how innovation policy can effectively influence innovation in small and medium-sized enterprises (SMEs) has received limited attention in academic research.
Kai Zhao, Haonan Shan, Yu Gao
doaj +1 more source
A Complexity-Theoretic Perspective on Innovation Policy [PDF]
It is argued that innovation policy based on notions of market failure or system failure is too limited in the context of current societal challenges. I propose a third, complexity-theoretic approach.
Frenken, K. +4 more
core +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
Innovation Policy Report: March 2011
The Innovation Policy Report aims to highlight developments in the innovation policy area.
Industry +2 more
core
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
Innovation Policy Report: May 2011
The Innovation Policy Report aims to highlight developments in the innovation policy area.
Industry +2 more
core

