Results 161 to 170 of about 1,318,721 (297)
EVOLUTIONARY PATHS TO COMPOSITIONAL LANGUAGE [PDF]
DIMITAR KAZAKOV, MARK BARTLETT
openaire +1 more source
Viktoriia Shtefan, Thorgund Nemec, Ute Hempel, Annett Gebert and coworkers demonstrate that anodic treatment of Ti–Cu‐based metallic glass in a nontoxic pyrophosphate electrolyte forms a protective bilayered Ti/Zr‐oxide film enriched with Cu nanocrystals.
Viktoriia Shtefan +8 more
wiley +1 more source
DESIGNING STRATEGIC AND INTERACTIVE SIGNING INSTRUCTION TO SUPPORT SIGNED LITERACY FOR DEAF LEARNERS. [PDF]
Holcomb L.
europepmc +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
Positive‐Tone Nanolithography of Antimony Trisulfide with Femtosecond Laser Wet‐Etching
A butyldithiocarbamic acid (BDCA) etchant is used to fabricate various micro‐ and nanoscale structures on amorphous antimony trisulfide (a‐Sb2S3) thin film via femtosecond laser etching. Numerical analysis and experimental results elucidate the patterning mechanism on gold (reflective) and quartz (transmissive) substrates.
Abhrodeep Dey +12 more
wiley +1 more source
Movement patterns of youth and their parents: cross-sectional and longitudinal associations. [PDF]
Hänggi J +8 more
europepmc +1 more source
Electroactive Metal–Organic Frameworks for Electrocatalysis
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
Association of Skeletal Muscle Strength with Cognitive Performance After Metabolic Bariatric Surgery. [PDF]
Barahona MJ +8 more
europepmc +1 more source
Toward a Philosophy of Effective Mentorship for New Professionals in Composition and Language Arts [PDF]
Mix, Julie Ann
core +3 more sources
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

