Results 141 to 150 of about 6,915 (248)

Social Assistive Robotics: An Ethical and Political Inquiry Through the Lens of Freedom. [PDF]

Int J Soc Robot
Pareto J, Coeckelbergh M.
europepmc   +1 more source

Increasing Inter‐Micellar Connectivity Toughens and Imparts Cooling‐Induced Shape Memory in Micellar Hydrogels

Advanced Functional Materials, EarlyView.
Oligomerizing Pluronic triblock copolymers provides a processing strategy for tuning the mechanical properties and stimuli‐responsive behaviors of micellar hydrogels. Varying oligomer fraction produces hydrogels spanning brittle to highly extensible responses; maintaining micellar architectures enables cooling‐induced reverse thermal shape memory and ...
Gourav Kumbhojkar, Eric Yang, Arman Moussavi, EunBi Oh, Haeji Kim, Wei Chen, Junsoo Kim, Sinan Keten, Ryan L. Truby   +8 more
wiley   +1 more source

Mechanisms of Degradation in Li‐Ion Batteries Under Low Temperature Exposures

Advanced Functional Materials, EarlyView.
Low‐temperature exposures, or freeze‐thaw cycles, are observed to significantly accelerate the degradation of Li‐ion batteries. A combination of electrolyte phase separation and mechanochemical stress leads to reversible and irreversible performance losses.
Mihir Ojha, Shervin Alaei, Jayanth Ramamurthy, Luke P. Lounsbury, Md Mahdi Ul Ishtiaque, Stuart Leland, Niraj P. Atale, Sourav Das, Siddhartha Pathak, Pranav Shrotriya, Steve W. Martin, Todd A. Kingston, Cary L. Pint   +12 more
wiley   +1 more source

Corrigendum: Toward an Automated Measure of Social Engagement for Children With Autism Spectrum Disorder—A Personalized Computational Modeling Approach

Frontiers in Robotics and AI, 2020
Hifza Javed, WonHyong Lee, Chung Hyuk Park   +2 more
doaj   +1 more source

High‐Throughput Digital Decoding of Vascular Heterogeneity in Patient‐Specific Tumor Microenvironments

Advanced Healthcare Materials, EarlyView.
ABSTRACT Quantitative characterization of vascular heterogeneity in complex microphysiological systems (MPS), particularly within patient‐derived tumor microenvironments, remains a major challenge for scalable disease modeling and therapeutic evaluation.
Jungseub Lee, Wooju Park, Sujin Hyung, Sangmin Jung, Kyungho Lee, Junseok Jeon, Noo Li Jeon, Jeeyun Lee, Hye Ryoun Jang, Jihoon Ko   +9 more
wiley   +1 more source

Affinity‐Tuned Albumin Hitchhiking Extends the Bioorthogonal Capture Window in Pretargeting Radiotheranostics

Advanced Healthcare Materials, EarlyView.
Pharmacokinetic engineering of clickable radioligands was achieved via albumin hitchhiking approach within a pretargeted radiotheranostics delivery platform. This approach reduced rapid renal elimination, expanded bioorthogonal capture window, boosted tumor uptake by ∼3.5‐fold, and improved the tumor‐to‐liver ratio by ∼6‐fold.
Xie He, Nicholas L. Fletcher, Gayathri R. Ediriweera, Yifei Zhu, James Humphries, Christopher B. Howard, Jiazheng Wang, Craig A. Bell, Kristian Kempe, Kristofer J. Thurecht   +9 more
wiley   +1 more source

Probabilistic Human Intent Recognition for Shared Autonomy in Assistive Robotics. [PDF]

ACM Trans Hum Robot Interact, 2019
Jain S, Argall B.
europepmc   +1 more source

Sodium Alginate‐Based Submucosal Lifting Hydrogel for Endoscopic Mucosal Resection and Endoscopic Submucosal Dissection

Advanced Healthcare Materials, EarlyView.
A biocompatible sodium alginate‐based hydrogel is developed as a next‐generation submucosal lifting agent intended for EMR and ESD. The optimized formulation exhibits a composition devoid of endotoxins, high viscosity, demonstrates reliable injectability, and ensures prolonged mucosal elevation.
Iram Maqsood, Venkata S. Akshintala, Surya T. Evani, Rebecca A. Krimins, Yihan Wang, Keith Freel, Ahmed Ibrahim, Saowanee Ngamruengphong, Mouen Khashab, Stephen W. Hoag   +9 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source