Results 211 to 220 of about 107,844 (297)

Study on the attitude steering scheme of satellite platform for distributed spaceborne SAR. [PDF]

iScience
Yu H.
europepmc   +1 more source

Chameleonic Color‐Variable Microbead Emitters for Multilevel Spectroscopic Encryption from Visible to Infrared Wavelengths

Advanced Optical Materials, EarlyView.
Whispering‐gallery‐mode microresonators with sharp resonant peaks enable photonic barcoding. Similar to a chameleon, a rare‐earth‐free microcavity with π‐conjugated PAHs enables visibleto‐near infrared color generation from a single microbead. The unique resonat emission (spectral barcode) can be dynamically transformed via excitation wavelength change,
Barun Kumar Barman, Keisuke Watanabe, Kenzo Deguchi, Shinobu Ohki, Kenjiro Hashi, Atsushi Goto, Tadaaki Nagao   +6 more
wiley   +1 more source

High-Precision Time Synchronization and Autonomous Maintenance for LEO Satellite Constellations Based on High-Stability Crystal Oscillators. [PDF]

Sensors (Basel)
Mu L, Hu X, Wu M, Li J.
europepmc   +1 more source

AI‐Powered Framework for Evaluating Drug Efficacy for Three‐Dimensional In Vitro Cancer Models in Robot‐Assisted Production

Advanced Robotics Research, EarlyView.
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy, Jesus Nieves, Lukas Königer, Matthias Peindl, Fabio Erhard, Marc Möllmann, Anke Klingner, Markus Münig, Bibin Babu, Thomas Schwarz, Marco Metzger, Gudrun Dandekar, Maximiliane Wußmann, Jan Hansmann   +13 more
wiley   +1 more source

Enhanced artificial satellite search algorithm with memory and evolutionary operator for PID controller parameter estimation. [PDF]

Sci Rep
Issa M.
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

Magnetic Micro‐ and Nanorobots for Precision Thrombolysis: Design Strategies and Translational Challenges

Advanced Robotics Research, EarlyView.
Micro‐ and nanorobots for targeted thrombolysis. This perspective elaborates on the clinical indication of blood clot disorders and current limitations for treatment. As a novel, alternative solution, micro‐ and nanorobots can be used to treat and break down thrombi.
Joshua M. Mesfin, Yimo Yan, Nikola Cesarovic, Simone Schuerle   +3 more
wiley   +1 more source

Engineered Mesenchymal Stem Cell–NK Cell Complexes for Spatially Targeted and Functionally Revitalized Cancer Immunotherapy

Advanced Science, EarlyView.
IL‐15‐engineered stem cell–NK cell complexes, assembled via bioorthogonal chemistry, enable effective lung cancer immunotherapy. Abstract Natural killer (NK) cells represent a powerful immunotherapeutic strategy due to their intrinsic cytotoxicity and ability to target tumor cells independently of antigen presentation.
Qian Zhang, Bo Yin, Munaiwaier Sabier, Youlan Yang, Mengling Wu, Zhouping Zhao, Xuanzhi Luo, Yuehong Zhong, Xiuming Zhu, Jie Zhang, Jing Wang, Kai Chen, Fei Ruan, Wei Zhang, Zhimin Lu, Jiong Wang   +15 more
wiley   +1 more source

Adaptive Compressed Sensing Differential Privacy Federated Learning Based on Orbital Spatiotemporal Characteristics in Space-Air-Ground Networks. [PDF]

Sensors (Basel)
Li W, Li L, Zhu L.
europepmc   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source