Our changing planet : the U.S. Climate Change Science Program for fiscal years ... : a report
Annual report of the U.S. Climate Change Science Program documenting activities and research, goals for the upcoming year, proposed budget considerations, and other information about the organization for fiscal year ...
Climate Change Science Program (U.S.)
core
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
Holocene climate change in southern Oman deciphered by speleothem records and climate model simulations. [PDF]
Tian Y +13 more
europepmc +1 more source
A folic acid (FA)‐conjugated 2‐deoxyglucose dendrimer selectively targets FRβ+ macrophages in endometriotic lesions, enabling precise intracellular delivery of niclosamide. This nonhormonal nanomedicine enhances drug solubility, provides controlled intracellular release, suppresses lesion growth, reduces inflammation and pain, and establishes FRβ ...
Anubhav Dhull +11 more
wiley +1 more source
Corrigendum: The Short-Term Climate Prediction System FIO-CPS v2.0 and Its Prediction Skill in ENSO
Yajuan Song +14 more
doaj +1 more source
Variability of heat stress using the UrbClim climate model in the city of Seville (Spain): mitigation proposal. [PDF]
Hidalgo-García D, Rezapouraghdam H.
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
Assessing SimCLIM climate model accuracy in projecting Southern Levantine basin air temperature trends up to 2100. [PDF]
Salama NM, Cai R, Tonbol K.
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
Correcting biases in regional climate model boundary variables for improved simulation of high-impact compound events. [PDF]
Kim Y, Evans JP, Sharma A.
europepmc +1 more source

