Results 181 to 190 of about 206,790 (331)
Sign, Signifier and Signified in Schrödinger's box. [PDF]
Parveen A, Radhakrishnan V.
europepmc +1 more source
Controlled syntheses of lanthanide coordination polymers based on the dihydroxybenzoquinone (DHBQ) organic linker afforded large single crystals of Ln‐DHBQ CPs (Ln = Yb, Nd). A novel structural variant of Yb‐DHBQ is identified by means of single crystal diffraction analysis.
Marina I. Schönherr +7 more
wiley +1 more source
Dysphagia Lusoria: An Elusive Case of Dysphagia Caused by a Rare Embryonic Vascular Sling. [PDF]
Shychuk AJ, Thomas A.
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
What is Really Refractory Intracranial Hypertension in The Paediatric Group in 2025? Suggestions for ICP and CPP Guidance for Early Intervention in Malaysia. [PDF]
Shaharuddin SO, Abdullah JM.
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
Human dignity: a contract or an abstract? [PDF]
Jafari SA +5 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
The Emperor's New Clothes Revisited. [PDF]
Glanville AR.
europepmc +1 more source
Counterfactual theories of knowledge and the notion of actuality
J. Heylen
semanticscholar +1 more source

