Results 181 to 190 of about 4,775,633 (379)
A poly(hydroxy‐oxazolidone) (PHOx) is synthesized from CO2‐based precursors, enabling the up‐cycling of this waste material. After synthesis, PHOx shows thermoplastic properties, and can therefore be processed by many temperature‐dependent techniques. PHOx is hemocompatible, anti‐adhesive, and biocompatible, which is demonstrated in vitro and in vivo ...
Sofia F. Melo+11 more
wiley +1 more source
Hepatic venous pressure gradient: Inaccurately estimates portal venous pressure gradient in alcoholic cirrhosis and portal hypertension. [PDF]
Zhang D+6 more
europepmc +1 more source
Supramolecular Chemistry in Metal–Organic Framework Materials
This review highlights synergies between reticular chemistry and supramolecular chemistry. The role of supramolecular interactions in determining framework…guest interactions and attempts to understand dynamic behavior in metal–organic frameworks (MOFs), particularly emphasizing the development of crystal sponges, studying reactions in frameworks and ...
Eugenia Miguel‐Casañ+3 more
wiley +1 more source
Background: The characterization of the dynamic process of veins walls is essential to understand venous functioning under normal and pathological conditions. However, little work has been done on dynamic venous properties.
YANINA ZÓCALO+3 more
doaj
Van Der Waals Hybrid Integration of 2D Semimetals for Broadband Photodetection
Advanced broadband photodetector technologies are essential for military and civilian applications. 2D semimetals, with their gapless band structures, high mobility, and topological protection, offer great promise for broadband PDs. This study reviews the latest advancements in broadband PDs utilizing heterostructures that combine 2D semimetals with ...
Xue Li+9 more
wiley +1 more source
Blood Diversion to the Upper Lobes not due to a Rise in Pulmonary Venous Pressure [PDF]
openalex +1 more source
Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan+9 more
wiley +1 more source