Results 211 to 220 of about 152,714 (315)
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
Fractal-geometry analysis of pediatric posterior fossa tumors - a preoperative tool for prediction of histopathology. [PDF]
Mezei T +5 more
europepmc +1 more source
It is elucidated that phase engineering of cobalt modulates the interfacial potential gradients of cobalt–carbon electrocatalysts, enhancing the intrinsic electrocatalytic performance. Modulating the dominant crystalline phase of cobalt from a hexagonal close‐packed to a face‐centered cubic enriches the electron density of carbon shells, thereby ...
Ji‐Oh Kim +13 more
wiley +1 more source
Design of fault water-resisting coal pillars based on deep-beam analysis: A comparison of two analytical methods. [PDF]
Wang B, Zha W, Lu H.
europepmc +1 more source
New improved formulas for calculating gravity and magnetic anomalies based on a cylinder model [PDF]
Yong Su
openalex
FORMULAE AND TABLES FOR CALCULATING LINKAGE INTENSITIES [PDF]
openaire +2 more sources
A self‐gelling PG@PAC (POD/Gel‐CDH@PA/CHX) powder is developed for infected burn care in austere settings. Upon contact with wound exudate, it instantly forms an adhesive hydrogel, providing simultaneous hemostasis, broad‐spectrum antibacterial activity, reactive oxygen species scavenging, and immunomodulation. In a murine model of S.
Liping Zhang +14 more
wiley +1 more source

