Results 281 to 290 of about 6,271,094 (365)

The Route to Artery Mimetics: Hybrid Bioinks for Embedded Bioprinting of Multimaterial Cylindrical Models

Advanced Functional Materials, EarlyView.
The fabrication of a cellularized, multilayered 3D printed cylindrical model comprising hybrid bioinks inspired by the natural extracellular environment as an approach to artery mimetics, is presented. Using embedded bioprinting, interlayer crosslinking of self‐supporting concentric cylinders is achieved.
Uxue Aizarna‐Lopetegui, Ada Herrero‐Ruiz, Monize C. Decarli, Ane Urigoitia‐Asua, Karla Chavarri‐Urraca, Lorenzo Moroni, Malou Henriksen‐Lacey, Dorleta Jimenez de Aberasturi   +7 more
wiley   +1 more source

Expanding our food supply: underutilized resources and resilient processing technologies. [PDF]

J Sci Food Agric
Knorr D, Augustin MA.
europepmc   +1 more source

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

Carbon-Efficient Scheduling in Fresh Food Supply Chains with a Time-Window-Constrained Deep Reinforcement Learning Model. [PDF]

Sensors (Basel)
Zou Y, Gao Q, Wu H, Liu N.
europepmc   +1 more source

Developing supply chain innovations - requirements for research and challenges for the food industry [PDF]

, 2008
Wayne Martindale, Mark Swainson
openalex  

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source

Machine learning-based optimal temperature management model for safety and quality control of perishable food supply chain. [PDF]

Sci Rep
Eze J, Duan Y, Eze E, Ramanathan R, Ajmal T.   +4 more
europepmc   +1 more source

ECR Development in French Food Supply Chains: Factors of Fails and Success

, 2007
Daniel Thiel, Vincent Hovelaque, Mariana Vlad   +2 more
openalex   +2 more sources

Understanding the Chemical and Electronic Properties of Sub‐Monolayer TiO2 on High Surface Area Silica for Jet Fuel Synthesis Applications

Advanced Functional Materials, EarlyView.
Sub‐monolayer titania grafted onto mesoporous silica enables solvent‐free photocatalytic upgrading of furfural and cyclopentanone into jet fuel precursors. Advanced spectroscopic methods reveal tunable surface speciation, acidity, and bandgaps, enhancing catalytic efficiency.
Mark A. Isaacs, Charalampos Drivas, Arthur Graf, Sasha Kroon, Santosh Kumar, Junxi Liu, Antonio Torres‐Lopez, Cameron Price, Edward Garland, Ines Lezcano‐Gonzalez, Christopher. M. A. Parlett, Vannia C. dos Santos‐Durndell, Lee J. Durndell   +12 more
wiley   +1 more source