Results 131 to 140 of about 391 (240)
No-Dictionary Searchable Symmetric Encryption
identifier:oai:t2r2.star.titech.ac.jp ...
openaire
A Perspective of Multi‐Reflecting TOF MS
ABSTRACT Time‐of‐flight mass spectrometry (TOF MS) excels in rapid and high‐sensitivity analysis, making it a cornerstone of analytical chemistry. But as sample complexity explodes in omics studies, so does the need for higher resolving power to ensure accurate results.
A. N. Verenchikov +3 more
wiley +1 more source
An optimized dynamic attribute-based searchable encryption scheme. [PDF]
Khan S +5 more
europepmc +1 more source
This review first introduces the diversified applications of large language models in materials discovery. Subsequently, the evolution of autonomous experimentation platforms empowered by large language models is analyzed. Finally, four key future research interests are proposed to develop embodied large models for driving autonomous experimentation ...
Zhen Song +6 more
wiley +1 more source
Nested Selves: Self‐Organization and Shared Markov Blankets in Prenatal Development in Humans
Abstract The immune system is a central component of organismic function in humans. This paper addresses self‐organization of biological systems in relation to—and nested within—other biological systems in pregnancy. Pregnancy constitutes a fundamental state for human embodiment and a key step in the evolution and conservation of our species. While not
Anna Ciaunica +3 more
wiley +1 more source
Privacy preservation in blockchain-based healthcare data sharing: A systematic review. [PDF]
Li K, Lohachab A, Dumontier M, Urovi V.
europepmc +1 more source
A Review of Functional Encryption in IoT Applications. [PDF]
Shahzad K, Zia T, Qazi EU.
europepmc +1 more source
TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang +5 more
wiley +1 more source
Scalable privacy-preserving data analytics for IoMT via FHE and zk-SNARK-enabled edge aggregation. [PDF]
Ben Othman S, Mihret N.
europepmc +1 more source
This study introduces a dual‐stage language model framework that extracts processing information from scientific literature and integrates it with thermodynamic data for magnesium alloy design. By combining semantic intelligence with quantitative modeling, the approach enables processing‐aware prediction of mechanical and thermal properties, bridging ...
Ziliang Lu +8 more
wiley +1 more source

