RPS and FIT with Transaction Costs
null Sunghee Shim, null 정경화
openaire +1 more source
Substrate Stress Relaxation Regulates Cell‐Mediated Assembly of Extracellular Matrix
Silicone‐based viscoelastic substrates with tunable stress relaxation reveal how matrix mechanics regulates cellular mechanosensing and cell‐mediated matrix remodelling in the stiff regime. High stress relaxation promotes assembly of fibronectin fibril‐like structures, increased nuclear localization of YAP and formation of β1 integrin‐enriched ...
Jonah L. Voigt +2 more
wiley +1 more source
Modulation of Hachiman defence by a type II toxin-antitoxin system via balancing trade-off between the fitness cost and antiphage activity. [PDF]
Tian X +6 more
europepmc +1 more source
Gain without pain: adaptation and increased virulence of Zika virus in vertebrate host without fitness cost in mosquito vector. [PDF]
Jaeger AS +11 more
europepmc +1 more source
Electroactive Metal–Organic Frameworks for Electrocatalysis
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 +7 more
wiley +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
Mutations of the complex I PSST target gene confers acaricide resistance and a fitness cost in Panonychus citri. [PDF]
Pan D +8 more
europepmc +1 more source
Disrupting the ArcA Regulatory Network Amplifies the Fitness Cost of Tetracycline Resistance in Escherichia coli. [PDF]
Arrieta-Ortiz ML +9 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
Plasmodium falciparum African PfCRT Mutant Isoforms Conducive to Piperaquine Resistance Are Infrequent and Impart a Major Fitness Cost. [PDF]
Hagenah LM +7 more
europepmc +1 more source

