Results 11 to 20 of about 1,008 (177)

Materials and System Design for Self‐Decision Bioelectronic Systems

Advanced Materials, EarlyView.
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng, Hong Liu, Yongheng Zhang, Youbin Zheng, Xuyin Ding, Mengni Zhu, Guoyue Shi, Yan Wang, Hossam Haick, Min Zhang   +9 more
wiley   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

A Self‐Healing Permanent Magnet Putty for Soft Robot Skins With Force Sensing and Functional Recovery

Advanced Robotics Research, EarlyView.
Permanent magnet putty (PMP) integrates high‐coercivity NdFeB particles with a dynamic polyborosiloxane–Ecoflex matrix, achieving rapid self‐healing (90% mechanical recovery in 10 s) and magnetic recovery within 20 min. With twice the sensitivity of commercial putties, PMP enables precise 5–30 N force detection and discrimination between pressing and ...
Ruotong Zhao, Mitsuhiro Kamezaki, Ryosuke Dobashi, Yuhiro Iwamoto, Yasushi Ido, Yoshihiro Kawahara   +5 more
wiley   +1 more source

Robotic Materials With Bioinspired Microstructures for High Sensitivity and Fast Actuation

Advanced 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, Rohit Pratyush Behera, Hongyu Zhou, Yifan Wang, Hortense Le Ferrand   +4 more
wiley   +1 more source

Strategic Advocacy for Higher Education Research: Insights From US Agricultural Experiment Station Funding

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Amidst dwindling state funding and the legislative withdrawal from public university research support, a heightened political process shapes the allocation of scarce tax dollars. This article explores how advocacy within the political process influences funding support for higher education from state legislatures.
Gregory M. Perry, Trey Malone, Jay T. Akridge   +2 more
wiley   +1 more source

Dollars for Drops: Abatement Cost of Water for Irrigation in the Colorado River Basin

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The Colorado River is a lifeline for more than 40 million people in the western United States. However, with climate change diminishing snowpacks in the Rocky Mountains and increasing demands from agriculture and urban areas, the river's flow has become insufficient to meet all the competing needs.
Shahin Bahrami, Mani Rouhi Rad, Rodolfo M. Nayga Jr.   +2 more
wiley   +1 more source

Wine Tourism as a Catalyst for Sustainable Performance: The Mediating Role of Corporate Legitimacy and Green Innovation

Agribusiness, EarlyView.
ABSTRACT This study aims to explore the influence of Wine Tourism (WT) on the Sustainable Performance (SP) of wineries in Spain. It particularly investigates how Corporate Social Legitimacy (CSL) and Green Innovation (GI) may act as intermediary factors in this relationship.
Javier Martínez‐Falcó, Eduardo Sánchez‐García, Bartolomé Marco‐Lajara, Luis A. Millán‐Tudela   +3 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

De Gustibus Est Disputandum: The role of agricultural and applied economists in an era of behavior change initiatives and endogenous preferences

American Journal of Agricultural Economics, EarlyView.
Abstract Popular society increasingly questions preferences that drive many resource allocations and production decisions, with many groups actively seeking to alter those preferences to achieve changes to resource use. Agricultural and applied economists, who are already equipped with excellent technical skills to undertake consumer preference and ...
Brian E. Roe
wiley   +1 more source

Structural problems without structural solutions? Youth leaders' perceptions of their community

American Journal of Community Psychology, EarlyView.
Abstract As young people explore and reflect on the conditions of their neighborhoods and communities, they can forge a critical consciousness—merging their perspectives and analysis to direct both individual and collective actions. Photovoice is a methodological tool that allows participants to document their perspectives and analysis and discuss with
Linnea L. Hjelm, Aishia A. Brown, Benjamin W. Fisher, Alice Story, Nubia Bennett   +4 more
wiley   +1 more source