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
ATG14-Mediated SNARE Complex Activation Promotes ΔFosB Degradation to Ameliorate Levodopa-Induced Dyskinesia. [PDF]
Wu Y +9 more
europepmc +1 more source
Munc13 binds and recruits SNAP25 to chaperone SNARE complex assembly. [PDF]
Kalyana Sundaram RV +9 more
europepmc +1 more source
Inactivating SARS‐CoV‐2 Virus with MOF‐Composites as Smart Face Masks
In situ preparation and functionalization of MOF@Cotton fabrics as smart face masks for the immobilization of proteins and inactivation viruses, such as SARS‐CoV‐2. Abstract The significant impact of the SARS‐CoV‐2 (COVID‐19) pandemic outbreak on people's lives has highlighted the urgent need for effective personal protective equipment.
Romy Ettlinger +9 more
wiley +1 more source
Elevated PEDF promotes the occurrence of diabetes mellitus via suppressing GSIS by downregulating the SNARE complex. [PDF]
Zhao Z +12 more
europepmc +1 more source
SNARE complex alters the interactions of the Ca2+ sensor synaptotagmin 1 with lipid bilayers. [PDF]
Bykhovskaia M.
europepmc +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
APOE4 triggers dysregulated synaptic vesicle release by disrupting SNARE complex assembly. [PDF]
Chen F +17 more
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
GPNMB disrupts SNARE complex assembly to maintain bacterial proliferation within macrophages. [PDF]
Yan Z +8 more
europepmc +1 more source

