Results 181 to 190 of about 1,641,397 (256)

Electroactive Metal–Organic Frameworks for Electrocatalysis

Advanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska, Yutong Luo, Ruyan Zhao, Jianjun Zhang, Mingchao Wang, Xinliang Feng, Eike Brunner, Stefan Kaskel   +7 more
wiley   +1 more source

Integrated Network Solutions in Government Hiring Trends (INSIGHT+). [PDF]

Sci Data
Resh WG, Lee KE, Ming Y, Xia XA, Dias N, Liu KA, Cao D, Huh W.   +7 more
europepmc   +1 more source

3D‐Printed Sulfur‐Derived Polymers With Controlled Architectures for Lithium‐Sulfur Batteries

Advanced Functional Materials, EarlyView.
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, Haoran Wang, Pan Yang, Rishav Agrawal, Alex R. Neale, Laurence J. Hardwick, Tom Hasell, Esther García‐Tuñón   +7 more
wiley   +1 more source

Assessing regulatory institutions and building collapse in Lagos state, Nigeria. [PDF]

Sci Rep
Salau WO, Anifowose RK.
europepmc   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
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, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Does out-of-hospital cardiac arrest survival differ by EMS agency type in the U.S.? Insights from the CARES registry. [PDF]

Resusc Plus
Nallamothu JL, Girotra S, Kennedy KF, Chan PS.   +3 more
europepmc   +1 more source

Collaboration between local health and local government agencies for health improvement. [PDF]

Cochrane Database Syst Rev, 2012
Hayes SL, Mann MK, Morgan FM, Kelly MJ, Weightman AL.   +4 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Low use of data analytics for health sector priority-setting in Ghana: A case for strengthening analytical capacity. [PDF]

PLOS Glob Public Health
Dankwa EA, Wambura C, Al Mubarokah M, Matta CJ, Gado B, Komesuor J, Savage Ii JV, Makido A, Baiden F, Noor AM.   +9 more
europepmc   +1 more source