Photoswitching Conduction in Framework Materials
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez +4 more
wiley +1 more source
Who can I count on: Honor, self-reliance, and family in the United States and Iran. [PDF]
Wang P, Atari M, Oyserman D.
europepmc +1 more source
3D‐Printed Sulfur‐Derived Polymers With Controlled Architectures for Lithium‐Sulfur Batteries
Rheology‐guided formulation design for direct ink writing enables the fabrication of 3D sulfur copolymer cathodes with controlled architectures for lithium‐sulfur batteries. The printed electrodes exhibit multiscale porosity and high sulfur utilization, delivering enhanced electrochemical performance compared to conventional cast electrodes.
Bin Ling +7 more
wiley +1 more source
On the Broader Significance of Maternal Sensitivity: Mothers' Early and Later Sensitive Parenting Matter to Children's Language, Executive Function, Academics, and Self-Reliance. [PDF]
Foley JE, Olino TM, Weinraub M.
europepmc +1 more source
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
Masculinity and Afrocentric Worldview: Assessing Risk and Protective Factors of Self-Reliance and Ubuntu on Young Black Men's Suicide Ideation. [PDF]
Lateef H +6 more
europepmc +1 more source
Who Can I Count On: Honor, Self-Reliance, and Family in the United States and Iran
Wang P, Atari M, Oyserman D.
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Measuring self-reliance and wellbeing among forcibly displaced women enrolled in a gender-focused economic empowerment program: A protocol for a pilot randomized controlled trial in Colombia. [PDF]
Stark L +5 more
europepmc +1 more source

