Results 151 to 160 of about 1,514,695 (309)
Characteristics and outcomes of male participants in the Australian Scleroderma Cohort Study (ASCS).
Objective To determine the differences in demographic, serologic and clinical characteristics between male and female patients with systemic sclerosis (SSc) in an Australian cohort. Methods Retrospective observational study using data from the Australian Scleroderma Cohort Study (ASCS). Males (M) were compared to females (F) using chi‐squared, Wilcoxon
Emily Lin +14 more
wiley +1 more source
Collagen hydrolysate is evaluated as a sustainable binder for MgO‐C refractories. Its thermally induced cross‐linking and gas release lead to expansion and cracking in large bricks, but tailored batches with lignin, recyclates, or fine graphite improve the gas release while thermal treatment and stability.
Till M. J. Stadtmüller +8 more
wiley +1 more source
This study reports the development of antibacterial ceramic scaffolds derived from natural bovine bone. The bones were processed through sequential boiling and hydrogen peroxide treatment to remove organic matter, producing porous, mineral‐rich scaffolds.
Mohamad Hassan Taherian +6 more
wiley +1 more source
A previously unreported coordination motif stabilising single Fe atoms by indigo chelation and pyridyl coordination on Au(111) has been revealed. By using planar tritopic pyridyl linkers (TPyB), extended 2D porous networks of indigo3(TPyB)2Fe6 form. These networks can be crystalline or vitreous and offer an environment where individual coordination ...
Hongxiang Xu +9 more
wiley +1 more source
Mechanisms and Production of Hypoglycaemic Peptides: Exploring the Potential of <i>Chlamydomonas reinhardtii</i>. [PDF]
Li Q +6 more
europepmc +1 more source
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +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
Absolute quantification of fluorescent protein fusions by mass spectrometry. [PDF]
Shevchenko A +8 more
europepmc +1 more source
Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi +5 more
wiley +1 more source
Small but mighty: Peptides as next-generation immunotargeting agents in gynecological cancers. [PDF]
Garg P, Krishna M, Singhal SS.
europepmc +1 more source

