Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.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
Addressing challenges in motor threshold measurement and frequency of assessment in transcranial magnetic stimulation protocols. [PDF]
Indian J PsychiatryGarg S, Kar SK.
europepmc +1 more source
Emergent Spin‐Glass Behavior in an Iron(II)‐Based Metal–Organic Framework Glass
Advanced Functional Materials, EarlyView.A one‐pot, solvent‐free synthesis yields an Fe2+‐based metal‐organic framework (MOF) glass featuring a continuous random network structure. The material exhibits spin‐glass freezing at 14 K, driven by topological‐disorder and short‐range magnetic frustration, showcasing the potential of MOF glasses as a plattform for cooperative magnetic phenomena in ...
Chinmoy Das +8 more
wiley +1 more source
Slight Truncation Changes in Iron Oxide Nanocubes Strongly Affect Their Magnetic Properties
Advanced Functional Materials, EarlyView.Subtle variations in nanoparticle morphology can lead to significant changes in functional properties. An automated shape‐fitting method captures minor differences in corner truncation between iron oxide nanocubes of similar sizes synthesized under identical conditions, revealing pronounced disparities in their magnetic and hyperthermia behavior ...
Kingsley Poon +7 more
wiley +1 more source
Exogenous melatonin alleviates copper stress in apple rootstock M9T337 by regulating the antioxidant system and carbon-nitrogen metabolism. [PDF]
Front Plant SciWang F +10 more
europepmc +1 more source
Advanced Functional Materials, EarlyView.Ferroelectricity in thin HfO2‐based films offers great possibilities for next‐generation neuromorphic memory devices. There, the response to subcoercive voltage signals is driven by the movement of mobile interfaces and their interaction with crystal defects – a yet rather unexplored aspect, which we shed light on and gain new insights into the complex
Maximilian T. Becker +11 more
wiley +1 more source
Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: Quantitative Pilot Feasibility Study. [PDF]
JMIR Form ResLi A, Zhou W, Hoda R, Bain C, Poon P.
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Control of Polarization and Polar Helicity in BiFeO3 by Epitaxial Strain and Interfacial Chemistry
Advanced Functional Materials, EarlyView.In BiFeO3 thin films, the interplay of interfacial chemistry, electrostatics, and epitaxial strain is engineered to stabilize homohelicity in polarization textures at the domain scale. The synergistic use of a Bi2O2‐terminated Aurivillius buffer layer and a highly anisotropic compressive epitaxial strain offers new routes to control the polar‐texture ...
Elzbieta Gradauskaite +5 more
wiley +1 more source
Ethical Healthcare During Public Health Emergencies: A Focus on Non-COVID-19 Patients
Risk Management and Healthcare PolicyMan Teng Iong Faculty of Law, University of Macau, Macao, People’s Republic of ChinaCorrespondence: Man Teng Iong, Faculty of Law (FLL), University of Macau, E32, Avenida da Universidade, Taipa, Macau, People’s Republic of China, Email mantengiong@um.edu.
Iong MT
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Sensitivity of Literature $$ {T}_1 $$ Mapping Methods to the Underlying Magnetization Transfer Parameters. [PDF]
NMR BiomedAssländer J.
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