Results 171 to 180 of about 7,835,349 (342)
2013 AHA/ACC Guideline on Lifestyle Management to Reduce Cardiovascular Risk [PDF]
Eckel, Robert
core +2 more sources
Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies
Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo +3 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
Laser‐Induced Graphene from Waste Almond Shells
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
Differential Trafficking Phenotypes of NPC1 Mutant Proteins Reveal Distinct Cholesterol Accumulation Profiles. [PDF]
Mahmoud SA +3 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
Myocardial Infarction in an Ironman Triathlete: A Case for Advanced Lipid Testing in Cardiovascular Risk Assessment. [PDF]
Mackler M +4 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
Dietary Fructose and Palmitic Acid Induce Shared and Divergent Transcriptional Responses in the Larval Midgut of <i>Drosophila melanogaster</i>. [PDF]
Castañeda-Partida L +9 more
europepmc +1 more source
Lipid pattern in cholelithiasis.
T J, Hassan, R, Maqsood, S J, Zuberi
openaire +1 more source

