Results 111 to 120 of about 1,443,876 (309)

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

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, Indra Apsite, Leonid Ionov   +2 more
wiley   +1 more source

On the Dynamics of Trade Patterns [PDF]

In this paper we analyse the dynamics of trade patterns in the six largest industrialised countries and in eight fast growing Asian economies. For each of these countries we study the shape of the sectoral distribution of an index of trade specialisation
Andrea Brasili, Paolo Epifani, Rodolfo Helg   +2 more
core  

Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids

Advanced Functional Materials, EarlyView.
This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow, Samya Sen, Joaquin Yus, Eliza E. Lovrich, Amanda G. Hoika, Kelly M. Chang, Arielle A. Pfeil, Nellie Haug, Amy J. Wagoner Johnson, Randy H. Ewoldt   +9 more
wiley   +1 more source

THE IMPACT OF HISTORICAL AND REGIONAL LINKAGES ON FREE TRADE IN THE AMERICAS: A GRAVITY MODEL ANALYSIS ACROSS SECTORS [PDF]

This paper estimates the impact of regional linkages (i.e. regional trading agreements) and historical linkages (i.e. neo-colonial trade ties) on trade pattern in the Western Hemisphere using the gravity model of international trade.
Sandberg, H. Mikael
core   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 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

Differences in Total Factor Productivity and the Pattern of International Trade

Economies
In this work, we develop a trade model that explains the pattern of trade between countries based on differences in total factor productivity (TFP) while also accounting for differences in relative factor endowments.
Gerassimos Bertsatos, Nicholas Tsounis
doaj   +1 more source

DETERMINING BILATERAL TRADE PATTERNS USING A DYNAMIC GRAVITY EQUATION [PDF]

Using a dynamic gravity equation, we show that the national product differentiation model explains food and agricultural trade more properly, while the product differentiation model is more appropriate to explain large-scale manufacturing trade.
Cho, Guedae, Kim, MinKyoung, Koo, Won W.
core   +1 more source

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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

AGRI-FOOD TRADE - A PATH TO AGRICULTURAL DEVELOPMENT OF MOLDOVA [PDF]

Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development, 2013
In this study we try to assess the progress in the development of the agricultural sector of Moldova. As indicator of the successful/unsuccessful development of the agri-food sector may serve the foreign trade activity.
Liliana CIMPOIES
doaj