Results 61 to 70 of about 9,339 (211)
Advanced Functional Materials, EarlyView.Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +1 more source
Clothes for the Emperor or Can Graduate Schools Learn From Undergraduate Macroeconomics? [PDF]
The current crisis is not only one of financial markets, but also of macroeconomics. Leading scholars call for a paradigm shift away from dynamic general equilibrium models, though some argue that the profession's arsenal already contains the tools and ...
Florian Jung, Manfred Gärtner
core
Advanced Functional Materials, EarlyView.A pore tuning strategy to amplify the multi‐site MOF‐SO2 interactions is proposed to achieve an enhanced trace SO2 capture and chemiresistive sensing in highly stable isostructural DMOFs by annelating benzene rings. This work provides a facile strategy to achieve tailor‐made stable MOF materials for specific multifunctional applications.
Shanghua Xing +9 more
wiley +1 more source
Foreign exchange and the liquidity trap [PDF]
When short-term interest rates hover near zero, central banks may have difficulty offsetting downward momentum on prices and economic activity through traditional monetary-policy channels, since commercial banks have little incentive to make loans ...
Owen F. Humpage, William R. Melick
core
Advanced Functional Materials, EarlyView.The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner +4 more
wiley +1 more source
Price-level determinacy, lower bounds on the nominal interest rate, and liquidity traps [PDF]
We consider standard monetary-policy rules with inflation-rate targets and interest-rate or money-growth instruments using a flexible-price, perfect-foresight model. There is always a locally-unique target equilibrium.
Dale Henderson, Ragna Alstadheim
core
3D‐Printed Sulfur‐Derived Polymers With Controlled Architectures for Lithium‐Sulfur Batteries
Advanced Functional Materials, EarlyView.Rheology‐guided formulation design for direct ink writing enables the fabrication of 3D sulfur copolymer cathodes with controlled architectures for lithium‐sulfur batteries. The printed electrodes exhibit multiscale porosity and high sulfur utilization, delivering enhanced electrochemical performance compared to conventional cast electrodes.
Bin Ling +7 more
wiley +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Advanced Functional Materials, EarlyView.Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
Endogenous Fluctuations in Open Economies: the Perils of Taylor Rules Revisited [PDF]
Can active Taylor rules (i.e. monetary rules where the nominal interest rate responds more than proportionally to inflation) deliver global equilibrium uniqueness in small open economies? By studying the local and global dynamics of a standard small open
Luis-Felipe Zanna, Marco Airaudo
core
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