Results 81 to 90 of about 493,090 (289)

Research on Blockchain Transaction Privacy Protection Methods Based on Deep Learning

Future Internet
To address the challenge of balancing privacy protection with regulatory oversight in blockchain transactions, we propose a regulatable privacy protection scheme for blockchain transactions.
Jun Li, Chenyang Zhang, Jianyi Zhang, Yanhua Shao   +3 more
doaj   +1 more source

Transducer Materials Mediated Deep Brain Stimulation in Neurological Disorders

Advanced Functional Materials, EarlyView.
This review discusses advanced transducer materials for improving deep brain stimulation (DBS) in neurological disorders. These materials respond to light, ultrasound, or magnetic fields, enabling precise, less invasive neuromodulation. Their stimulus‐responsive properties enhance neural control and adaptive therapy, paving the way for next‐generation ...
Di Zhao, Zhengyang Cao, Guangjun Zhong, Limin Shi, Junxia Xie, Jianhua Hao   +5 more
wiley   +1 more source

PKCHD: Towards a Probabilistic Knapsack Public-Key Cryptosystem with High Density

Information, 2019
By introducing an easy knapsack-type problem, a probabilistic knapsack-type public key cryptosystem (PKCHD) is proposed. It uses a Chinese remainder theorem to disguise the easy knapsack sequence. Thence, to recover the trapdoor information, the implicit
Yuan Ping, Baocang Wang, Shengli Tian, Jingxian Zhou, Hui Ma   +4 more
doaj   +1 more source

Double Helical Plasmonic Antennas

Advanced Functional Materials, EarlyView.
Plasmonic double helical antennas funnel circularly polarized light to the nanoscale, offering strong chiroptical interaction and directional light emission. Extending a single helix design tool, this study combines numerical modeling with experimental validation, revealing large, broadband dissymmetry factors in the visible range.
Aleksei Tsarapkin, Luka Zurak, Krzysztof Maćkosz, Lorenz Löffler, Victor Deinhart, Ivo Utke, Thorsten Feichtner, Katja Höflich   +7 more
wiley   +1 more source

Security analysis of Modified Rivest Scheme

Journal of Mathematical Cryptology, 2014
The Modified Rivest Scheme (MRS) is an additive homomorphic scheme recently used in many applications which demands third party processing of encrypted data. The present study carries out a comprehensive security analysis of MRS.
Haridas Deepthi, Venkataraman Sarma, Varadan Geeta   +2 more
doaj   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Further research on public-key cryptosystems based on third-order recurrence sequence

Tongxin xuebao, 2005
Properties of third-order recurrence sequences were investtgated and a new variant of GH public-key cryptosystem was proposed. It is further improved to be a probabilistic public-key cryptosystem.
JIANG Zheng-tao 1, SUN Xi 1, TIAN Lei 2, WANG Yu-min 1   +3 more
doaj   +2 more sources

Synergistic Osteogenesis After Co‐Administration of cmRNAs Encoding BMP‐2 and BMP‐7 Utilizing a Transcript‐Activated Matrix

Advanced Functional Materials, EarlyView.
This study demonstrates that the dual delivery of BMP‐2/‐7 coding cmRNAs for bone healing is demonstrated as feasible, safe, and highly osteogenic. Compared to single BMP‐2 or BMP‐7 cmRNAs, the combination enhances the production of both mineral and organic components of the extracellular matrix when delivered using a collagen‐HA scaffold, supporting ...
Claudia Del Toro Runzer, Joanna M. Sadowska, Nadia Roumans, Christian Plank, Christopher H. Evans, Fergal J. O'Brien, Martijn van Griensven, Elizabeth R. Balmayor   +7 more
wiley   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

Advanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi, Irem Deniz Derman, Deepak Gupta, Logan Haugh, Yogendra Pratap Singh, Vaibhav Pal, Yasar Ozer Yilmaz, Suihong Liu, Andre Luis Dias, Rogerio Andrade Flauzino, Ibrahim Tarik Ozbolat   +10 more
wiley   +1 more source