Results 151 to 160 of about 177,412 (290)

RBP2GO 2.0: Integrating disease associations and sequence features to explore RNA-binding protein functions. [PDF]

Nucleic Acids Res
Cantarella S, Neffe J, Hermes M, Rauscher F, Schwarz R, Jaisankar P, Schäfer E, Caudron-Herger M.   +7 more
europepmc   +1 more source

Raman Microscopy at the Organic–Inorganic Interfaces in Human Calcified Aortic Valves Shows the Co‐Existence of Whitlockite Crystals and Carbonated Hydroxyapatite‐Mineralized Collagen Fibrils

Advanced Functional Materials, EarlyView.
This study advances our understanding of aortic valve stenosis by capturing spatially resolved chemical and structural changes at the nanoscale. The findings highlight the potential of combined Raman and electron microscopy for understanding calcification mechanisms across diverse tissue types.
Robin H. M. Van der Meijden, Carolien T. A Kuster, Amber van Broekhoven, Raphaela Allgayer, Luco Rutten, Rona Roverts, Marta Cerruti, Elena Macías‐Sánchez, Jan Hein Cornel, Salloua el Messaoudi, Anat Akiva, Nico Sommerdijk   +11 more
wiley   +1 more source

Variation in Quality of Women's Health Topic Information from Systematic Internet Searches. [PDF]

Healthcare (Basel)
Wanamaker BK, Tomlinson AN, Abernathy AR, Cordova V, Baloun AD, Duval BD.   +5 more
europepmc   +1 more source

Gram‐Scale Production of Iron Oxide Rubik‐Cube Nanoparticles: New Tools for the Clinical Translation of Magnetic Hyperthermia and Magnetic Particle Imaging

Advanced Functional Materials, EarlyView.
This work reports the first gram‐scale solvothermal synthesis of ‘Rubik's cube’ nanoparticles—cubic, dendritic multicore structures with tuneable sizes and exceptional magnetic heating performance. Featuring iron oxide single‐domain character, with low coercivity fields, high magnetization, and strong MPI signals, they enable viscosity‐independent ...
Giusy M. R. Rizzo, Niccolò Silvestri, Nabila Jarmouni, Helena Gavilán, Hamza Yakubu, Daniel Arenas‐Esteban, Sara Bals, Paola Parlanti, Mauro Gemmi, Ross Clark Prado, Anna Cristina S. Samia, Verónica Salgueiriño, Teresa Pellegrino   +12 more
wiley   +1 more source

Searching for Multimode Resonator Topologies with Adaptive Differential Evolution. [PDF]

Sensors (Basel)
Stanovov V, Khodenkov S, Rozhnov I, Kazakovtsev L.   +3 more
europepmc   +1 more source

Liquid Crystalline Inverted Lipid Phases and Reverse Micelles in Drug Delivery: From Molecular Design to Therapeutic Potential

Advanced Functional Materials, EarlyView.
Liquid crystalline inverted lipid phases and reverse micelles are self‐assembled lipid nanostructures that enhance the solubility, stability, and delivery of diverse therapeutics. This review integrates their physicochemical principles, formulation strategies, drug loading mechanisms, and biomedical applications, highlighting their growing ...
Numan Eczacioglu, Mulazim Hussain Asim, Soheil Haddadzadegan, Andreas Bernkop‐Schnürch   +3 more
wiley   +1 more source

Assessment of palliative care service utilization and determinant factors among adult cancer patients in Ethiopia: A systematic review and meta-analysis (PRISMA-compliant). [PDF]

Medicine (Baltimore)
Haile GB, Abraha TA.
europepmc   +1 more source

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source

MolGlueDB: an online database of molecular glues. [PDF]

Nucleic Acids Res
Wang X, Zhuang Z, Zhang C, Zhang B, Zhan W, Wang Y, Liu Z, Yuan S, Niu W, He Q, Tian Y, Xu X, Fang S, Qin C.   +13 more
europepmc   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
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, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source