Results 271 to 280 of about 553,384 (408)

Hydrogel‐Based Smart Materials for Wound Healing and Sensing

open access: yesAggregate, EarlyView.
The graphical abstract illustrates the role of hydrogel‐based flexible materials in advancing biomedical applications, including wound healing, point‐of‐care diagnostics, smart patches, and wearable devices. Hydrogels are particularly promising in modern wound care due to their high‐water content, flexibility, and biocompatibility.
Thi Kim Ngan Duong   +11 more
wiley   +1 more source

Could the chemical industry mitigate rapid global cooling from a catastrophic volcanic eruption?

open access: yesAIChE Journal, EarlyView.
Abstract Estimates based on historical data place the probability of a catastrophic volcanic eruption in the next 100 years at around one in six. Large volcanic eruptions can lead to significant global cooling for 2–4 years, with potentially devastating impacts on global agriculture.
David S. Sholl
wiley   +1 more source

Focus on photosynthesis

open access: yesThe Plant Cell
Nancy A Eckardt   +5 more
openaire   +3 more sources

Multi‐Module Micro/Nanorobots for Biomedical and Environmental Remediation Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
Multi‐module microrobots (MNRs) have overcome the limitations of single‐module systems by integrating components such as propeller, actuator, manipulator, and imaging modalities. They show promise in biomedical applications, such as targeted drug delivery and tissue repair, as well as in environmental remediation, including pollutant removal.
Bairong Zhu   +4 more
wiley   +1 more source

Artificial Intelligence‐Driven Robotic Sensing System for Noninvasive Crop Health Monitoring and Autonomous Irrigation Management

open access: yesAdvanced Intelligent Systems, EarlyView.
A mobile robot equipped with a 3D‐printed, noninvasive electrophysiological sensor for real‐time monitoring of tomato plant health based on irrigation levels is presented. The sensor provides high electrical reliability, sensitive electrophysiological signal detection (0.0122 mV), and 86.91% classification accuracy using scalogram images, thereby ...
Yiting Chen   +4 more
wiley   +1 more source

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