Results 211 to 220 of about 1,106,758 (269)

Nanomaterial‐Based Muscle Cell/Neural Tissue Biohybrid Robots: From Actuation to Biomedical Applications

Advanced Robotics Research, EarlyView.
Muscle cell‐based biohybrid robot using nanomaterials for function enhancement and neural function for biomedical applications. Biohybrid robotics, an emerging field combining biological tissues with artificial systems, has made significant progress in developing various biohybrid constructs, including muscle‐cell‐driven biorobots and microbots.
Minkyu Shin, Sangeun Lee, Su Ryon Shin, Jin‐Ha Choi, Jeong‐Woo Choi   +4 more
wiley   +1 more source

Has the development of artificial intelligence promoted urban pollutant and carbon emission reduction? Evidence from China. [PDF]

Front Public Health
Li M, Liu T, Wu G, Lin J, Guo B.
europepmc   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community

Advanced Sustainable Systems, EarlyView.
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit, Irini Furxhi, Penny Nymark, Antreas Afantitis, Ammar Ammar, Monica J. B. Amorim, Dalila Antunes, Svetlana Avramova, Chiara L. Battistelli, Gianpietro Basei, Cecilia Bossa, Emil Cimpan, Mihaela Roxana Cimpan, Dmitri Ciornii, Anna Costa, Camilla Delpivo, Maria Dusinska, Ana Sofia Fonseca, Steffi Friedrichs, Vasile‐Dan Hodoroaba, Danail Hristozov, Panagiotis Isigonis, Nina Jeliazkova, Nikolay Kochev, Eva Kranjc, Dieter Maier, Georgia Melagraki, Anastasios G. Papadiamantis, Tomasz Puzyn, Hubert Rauscher, Katie Reilly, Araceli Sánchez Jiménez, Janeck J. Scott‐Fordsmand, Neeraj Shandilya, Hyun Kil Shin, Gergana Tancheva, Jeaphianne P. M. van Rijn, Egon L. Willighagen, Ewelina Wyrzykowska, Martine I. Bakker, Damjana Drobne, Thomas E. Exner, Martin Himly, Iseult Lynch   +43 more
wiley   +1 more source

Techno‐Economic Analysis of Polylactic Acid from Corn Stover: Understanding Uncertainty and Variability via Artificial Intelligence Tools

Advanced Sustainable Systems, EarlyView.
This study analyses the uncertainty and variability existing in the economic performance of polylactic acid (PLA) production, via integrating techno‐economic analysis with process models and Monte Carlo simulation enabled by artificial intelligence. The results show that the minimum selling price varies from $2,107 to $3076/t PLA.
Yinqiao Wang, Jiawei Huang, Chuan Xu, Sipan Liu, Junwei Li, Kai Lan   +5 more
wiley   +1 more source

Deep Learning Approach for Predicting Efficiency in Organic Photovoltaics from 2D Molecular Images of D/A Pairs

Advanced Theory and Simulations, EarlyView.
This study highlights the potential of deep learning, particularly Convolutional Neural Networks (CNNs), for predicting the photovoltaic performance of organic solar cells. By leveraging 2D images representing donor/acceptor molecular pairs, the model accurately estimates key performance indicators proving that this image‐based approach offers a fast ...
Khoukha Khoussa, Patrick Lévêque, Larbi Boubchir   +2 more
wiley   +1 more source

Disengaging the Engine: Histone Deacetylases 1 and 2‐Mediated Acetylation of Hexokinase‐2 Regulates Energy Metabolism in Microglia Following Intracerebral Hemorrhage

Advanced Science, EarlyView.
This study demonstrates that HDAC1/2 knockout in microglia alleviates neurological deficits, preserves white matter, and accelerates hematoma clearance after ICH. HDAC1/2 inhibition reduces HK2 acetylation, shifts metabolism from glycolysis to fatty acid oxidation, reduces inflammation, and enhances phagocytosis.
Zhiwen Jiang, Heng Yang, Xinjie Gao, Zengyu Zhang, Ruiyuan Weng, Yuchao Fei, Jiabin Su, Hanqiang Jiang, Wei Ni, Yuxiang Gu   +9 more
wiley   +1 more source

Artificial Intelligence-Driven Transformation of Pediatric Diabetes Care: A Systematic Review and Epistemic Meta-Analysis of Diagnostic, Therapeutic, and Self-Management Applications. [PDF]

Int J Mol Sci
Valdespino-Saldaña E, Altamirano-Bustamante NF, Calzada-León R, Revilla-Monsalve C, Altamirano-Bustamante MM.   +4 more
europepmc   +1 more source

Application of artificial intelligence in gynecologic cancers: A bibliometric analysis. [PDF]

Digit Health
Liu N, Jiang F, Lou Y, Guan J.
europepmc   +1 more source