Results 101 to 110 of about 138,905 (255)
Schematic illustration of the engineered RN@FDT for multimodal tumor therapy. a) Fabrication of FD&DOX/TFA‐loaded RGD‐NNV (RN@FDT) and the light‐triggered disassemble of RN@FDT. b) After internalized by tumor cells, RN@FDT are disintegrated under NIR‐II laser irradiation to boost PTT and induce cell apoptosis.
Jiahui Zhang +16 more
wiley +1 more source
This article examines how notions of the good are entangled with instruments of valuation in the case of wind power in Denmark. Analytically, we develop what we tentatively call a comparative actantial approach to the study of policy instruments ...
José Ossandón +3 more
doaj +1 more source
Exchange rates and multicommodity international trade: insights from spatial price equilibrium modeling with policy instruments via variational inequalities. [PDF]
Nagurney A +3 more
europepmc +1 more source
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
Intelligent construction represents the future direction of the traditional construction industry, with numerous national policies driving its transformation.
Jundao Chen, Mingqiang Huang, Rui Liu
doaj +1 more source
A novel photodynamic therapeutic approach has been employed for anticancer therapy, utilizing chlorin e6‐loaded Pluronic nanocapsules and a wearable organic light‐emitting diode light source. This has shown significant in vivo antitumor efficacy with minimal off‐target toxicity. The innovative combination of a wearable light source and photosensitizers
Hyeryeon Oh +7 more
wiley +1 more source
Assessment of Tobacco Control Policy Instruments, Status and Effectiveness in Africa: A Systematic Literature Review. [PDF]
Munthali GNC +4 more
europepmc +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
Policy instruments and self-reported impacts of the adoption of energy saving technologies in the DACH region. [PDF]
Peneder M +4 more
europepmc +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

