Results 201 to 210 of about 1,093,472 (338)

Demystifying magic: high-level low-level programming

International Conference on Virtual Execution Environments, 2009
Daniel Frampton, S. Blackburn, P. Cheng, Robin Garner, D. Grove, J. E. B. Moss, Sergey I. Salishev   +6 more
semanticscholar   +1 more source

A Photonastic Prototissue Capable of Photo‐Mechano‐Chemical Transduction

Advanced Materials, EarlyView.
Mimicking energy transduction in prototissue assemblies remains a challenge of bottom‐up synthetic biology. In this work, prototissues integrating protocells with photothermal gold nanoparticle proto‐organelles and a thermoresponsive polymeric proto‐cortex are developed.
Agostino Galanti, Beatrice Rosetti, Stefano Valente, Nicoletta Braidotti, Maria Sbacchi, Silvia Todros, Piero Pavan, Pierangelo Gobbo   +7 more
wiley   +1 more source

Strategies and Considerations for Safe Reinforcement Learning in Programming Cardiac Implantable Electronic Devices. [PDF]

Med Res Arch
Komp J, Boggaram A, Kao DP, Trivedi A, Rosenberg MA.   +4 more
europepmc   +1 more source

High-level programming features for improving the efficiency of a relational database system

ACM Transactions on Database Systems, 1981
R. V. D. Riet, A. Wasserman, M. Kersten, W. D. Jonge   +3 more
semanticscholar   +1 more source

The Role of Artificial Intelligence in Advancing Biosensor Technology: Past, Present, and Future Perspectives

Advanced Materials, EarlyView.
This review explores the transformative role of AI in biosensor technology and provides a holistic interdisciplinary perspective that covers a broader scope of AI‐enabled biosensor technologies across various sectors including healthcare, environmental monitoring, food safety, and agriculture. It also highlights the important role of novel materials in
Tuğba Akkaş, Mahshid Reshadsedghi, Mustafa Şen, Volkan Kılıç, Nesrin Horzum   +4 more
wiley   +1 more source

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

Advanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu, Mouyang Cheng, Nguyen Tuan Hung, Eunbi Rha, Zhantao Chen, Ryotaro Okabe, Denisse Córdova Carrizales, Manasi Mandal, Yongqiang Cheng, Mingda Li   +9 more
wiley   +1 more source

LLM-Based Unknown Function Automated Modeling in Sensor-Driven Systems for Multi-Language Software Security Verification. [PDF]

Sensors (Basel)
Deng L, Zhong Q, Song J, Lei H, Li W.
europepmc   +1 more source

Rational Development of a Novel Emulgel Adjuvant for Single‐Shot Effective Vaccination: A Multivariate Analysis Approach

Advanced Materials, EarlyView.
Using multivariate analysis, a novel emulgel adjuvant is developed by combining key nanoemulsion formulation variables–hydrogel trapping, small globule size, and mannide monooleate surfactant–achieving 10× greater immunogenicity than MF59 in mice after a single shot.
Ahmed O. Shalash, Waleed M. Hussein, Ummey J. Nahar, Jingwen Wang, Lantian Lu, Armira Azuar, Jolynn J. E. Kiong, Prashamsa Koirala, Zeinab G. Khalil, Istvan Toth   +9 more
wiley   +1 more source

Primer on large language models: an educational overview for intensivists. [PDF]

Crit Care
Idan D, Einav S.
europepmc   +1 more source

A high-level programming environment for packet trace anonymization and transformation

Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2003
Ruoming Pang, V. Paxson
semanticscholar   +1 more source