Results 201 to 210 of about 36,279 (314)

A Systematic Study of GelMA‐Carbopol Bioinks for High‐Fidelity Extrusion 3D Bioprinting at Physiological Temperatures

Advanced Healthcare Materials, EarlyView.
Gonzalez Martinez and collaborators develop a strategy to formulate high performance GelMA‐based bioinks with low solids contents. The resulting bioinks enable 3D bioprinting at 37 °C of high‐fidelity structures with tunable mechanical properties that support high cell viability and function.
David A. González‐Martínez, Aidee V. Arizpe Tafoya, Eduardo González‐Martínez, Mabel Barreiro Carpio, Laura Daniela Serrano Andrade, Christopher T. N. Chow, Mohammadhossein Dabaghi, Jeremy A. Hirota, Jose M. Moran‐Mirabal   +8 more
wiley   +1 more source

Meeting Students Where They Are: A Field Experiment of Classroom Interventions for Voter Turnout Among College Students

Timothy Bynion, Jennifer Nicoll Victor
openalex   +1 more source

Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells

Advanced Materials, EarlyView.
This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno, Qiangrui Dong, Marco Post, Xin Meng, Cristiano Glessi, Nynke Marije Hettema, Nidas Brandsma, Sebbe Blokhuizen, Alejandro Castañeda Garcia, Srividya Ganapathy, Thieme Schmidt, Lars van Roemburg, Bing Xu, Chun‐Ting Cho, Liedewij Laan, Miao‐Ping Chien, Daan Brinks   +16 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
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, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Who cares about mental health? Benchmarking the issue importance of mental health for American voters". [PDF]

PLoS One
Haselswerdt J.
europepmc   +1 more source

Design Principles for Fluid Molecular Ferroelectrics

Advanced Materials, EarlyView.
A major challenge for soft condensed matter is predicting whether a fluid molecular material will form ferroelectric phase with nematic or smectic order. Through systematic synthesis, and by analogy to solid molecular ferroelectrics, it is shown that subtle hydrogen–fluorine (H/F) substitution(s) allows for tuneable syn‐parallel pairing motifs ...
Calum J. Gibb, Jordan Hobbs, William C. Ogle, Richard. J. Mandle   +3 more
wiley   +1 more source

Targeted digital voter suppression efforts likely decrease voter turnout. [PDF]

Proc Natl Acad Sci U S A
Kim YM, Dahlke R, Song H, Heinrich R.
europepmc   +1 more source

Voters’ Perspectives on Elections (2011-2021): A Hermeneutic Study in Chadiza Constituency, Eastern Province, Zambia

Chishimba Ivo, Chulu Tuke
openalex   +1 more source

A Hybrid Computational Framework for PCF‐based SPR Sensor With Machine Learning and xAI

Advanced Materials Interfaces, EarlyView.
A photonic crystal fiber‐based surface plasmon resonance (SPR) sensor integrating rectangular air holes along with conventional circular air holes achieves exceptional wavelength sensitivity of 15,000 nm/RIU across a broad refractive index range of 1.31–1.39. Integrated machine learning with explainable AI (xAI) models achieves high prediction accuracy
Mahabur Rahman Fahim, Sudeep Paul, Musrat Jahan, Md Abu Shahid Chowdhury   +3 more
wiley   +1 more source