Results 221 to 230 of about 1,638,905 (280)

Fatigue‐Resistant Mechanoresponsive Color‐Changing Hydrogels for Vision‐Based Tactile Robots

Advanced Materials, EarlyView.
Mechanoresponsive color‐changing materials that can reversibly and resiliently change color in response to stress are highly desirable for diverse technologies in optics, sensors, and robots; however, such materials are rarely achieved. This work reports a fatigue‐resistant mechanoresponsive color‐changing hydrogel that exhibits reversible, resilient ...
Jiabin Liu, Wei Li, Yu She, Sean Blanchard, Shaoting Lin   +4 more
wiley   +1 more source

The Prediction of Venous Thromboembolism Using Artificial Intelligence and Machine Learning in Lower Extremity Arthroplasty: A Systematic Review. [PDF]

Arthroplast Today
Dalil D, Esmaeili S, Safaee E, Asgari S, Kejani N.   +4 more
europepmc   +1 more source

Pushing Radiative Cooling Technology to Real Applications

Advanced Materials, EarlyView.
Radiative cooling controls surface optical properties for solar and thermal radiation, offering solutions for global warming and energy savings. Despite significant advances, key challenges remain: optimizing optical efficiency, maintaining aesthetics, preventing overcooling, enhancing durability, and enabling scalable production.
Chongjia Lin, Keqiao Li, Meng Li, Benjamin Dopphoopha, Jiongzhi Zheng, Jiazheng Wang, Shanshan Du, Yang Li, Baoling Huang   +8 more
wiley   +1 more source

Bio inspired feature selection and graph learning for sepsis risk stratification. [PDF]

Sci Rep
Siri D, Kocherla R, Tumkunta S, Udayaraju P, Gogineni KC, Mamidisetti G, Boddu N.   +6 more
europepmc   +1 more source

Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications

Advanced Materials, EarlyView.
Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach, Aysu Yurdusen, Norbert Stock, Guillaume Maurin, Christian Serre   +4 more
wiley   +1 more source

Hybrid deep learning model for accurate and efficient android malware detection using DBN-GRU. [PDF]

PLoS One
Kauser Sk H, Anu V M.
europepmc   +1 more source

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

Advanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman, Ruben Goeminne, Kuber Singh Rawat, Veronique Van Speybroeck   +3 more
wiley   +1 more source

ECG-based heart arrhythmia classification using feature engineering and a hybrid stacked machine learning. [PDF]

BMC Cardiovasc Disord
Jahangir R, Islam MN, Islam MS, Islam MM.   +3 more
europepmc   +1 more source

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

Advanced Materials, EarlyView.
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle, Dhruv Menon, João Conniot, Jon Ostolaza‐Paraiso, Sergio Mercado, Jhenifer Oliveira, Xu Chen, Bárbara B. Mendes, João Conde, David Fairen‐Jimenez   +9 more
wiley   +1 more source

Challenges in Combining EMG, Joint Moments, and GRF from Marker-Less Video-Based Motion Capture Systems. [PDF]

Bioengineering (Basel)
Afzal HMR, Louhichi B, Alrasheedi NH.
europepmc   +1 more source