Results 81 to 90 of about 6,907 (287)

Sialic Acid Sensing via Molecularly Imprinted Polymer on Laser‐Induced Graphene

open access: yesAdvanced Sensor Research, EarlyView.
Sialic acid is an important biomarker for oral and overall health. Salivary levels of sialic acid are linked with oral cancer and other diseases. We develop a point‐of‐care sensor for sialic acid, based on molecularly imprinted aminophenylboronic acid electropolymerized onto laser‐induced graphene.
Alexander V. Shokurov   +2 more
wiley   +1 more source

Study of quality indicators of gravure imprints obtained with fluorescent ink

open access: yesJournal of Graphic Engineering and Design
The peculiarities of the decoration of gravure imprints on cardboard using fluorescent inks are considered. The influence of the number of fluorescent impurities added to gravure printing ink on the optical indicators of printed image quality ...
Svitlana Havenko   +3 more
doaj   +1 more source

Fabrication and Characterization of Flexible Spray-Coated Antennas

open access: yesIEEE Access, 2018
This paper investigates the potential of using spray coating as a methodology for flexible antenna fabrication. The methodology has advantages compared with other antenna-printing techniques, such as screen-printing and gravure printing (more flexibility
Arno Thielens   +4 more
doaj   +1 more source

Development of active, nanoparticle, antimicrobial technologies for muscle-based packaging applications [PDF]

open access: yes, 2017
Fresh and processed muscle-based foods are highly perishable food products and packaging plays a crucial role in providing containment so that the full effect of preservation can be achieved through the provision of shelf-life extension.
Cruz-Romero, Malco C.   +4 more
core   +1 more source

Top‐Down Fabricated Wood‐Derived Pressure and Strain Sensors: A Review

open access: yesAdvanced Science, EarlyView.
This review focuses on wood‐derived pressure/strain sensors fabricated via top‐down strategies. It analyzes wood's structural composition, examines processing techniques, discusses sensor types and sensing mechanisms, and reviews existing research. The article concludes with future directions for enhancing performance and scalability.
Yi Ren   +8 more
wiley   +1 more source

Влияние поверхностной энергии печатной формы и вязкости краски на краскоперенос во флексографии [PDF]

open access: yes, 2016
В данном исследовании предложена имитационная модель процесса краскопереноса с ячейки анилоксового вала на гибкую фотополимерную печатную форму. Модель построена на использовании уравнений Навье – Стокса для вязкой несжимаемой жидкости с соответствующими
Благодир, Ольга Леонидовна   +1 more
core  

Robotic Materials With Bioinspired Microstructures for High Sensitivity and Fast Actuation

open access: yesAdvanced Science, EarlyView.
In the review paper, design rationale and approaches for bioinspired sensors and actuators in robotics applications are presented. These bioinspired microstructure strategies implemented in both can improve the performance in several ways. Also, recent ideas and innovations that embed robotic materials with logic and computation with it are part of the
Sakshi Sakshi   +4 more
wiley   +1 more source

Impact of Print Pollution on the Health of Workers in Printing Industries of India

open access: yesInternational Journal of Environmental Health Engineering
Aim: This study aimed to assess the impact of print pollutions on the worker health, various waste produced, and its solutions, while performing various operations in printing industries.
Deepak Kumar Sharma   +2 more
doaj   +1 more source

Navigating the Ethereal Tightrope: The Nanogenerator Manipulates Neurons for Immune Equilibrium

open access: yesAdvanced Science, EarlyView.
This review explores how nanogenerators modulate neuroimmune responses, offering innovative strategies for treating neurological disorders. By interfacing with neural pathways, they enable precise control of immune activity, especially via vagus nerve stimulation.
Jia Du   +5 more
wiley   +1 more source

Unpaired Learning‐Enabled Nanotube Identification from AFM Images

open access: yesAdvanced Science, EarlyView.
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na   +10 more
wiley   +1 more source

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