Results 71 to 80 of about 1,131 (250)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Secure Proxy Re-Encryption Protocol for FANETs Resistant to Chosen-Ciphertext Attacks

Applied Sciences
In emergency situations, ensuring the secure transmission of medical information is critical. While existing schemes address on-road emergencies, off-road scenarios present unique challenges due to hazardous locations inaccessible to conventional ...
Hyun-A Park
doaj   +1 more source

Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education

Advanced Science, EarlyView.
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua, Anira Escrichs, Yonatan Sanz Perl, Morten L. Kringelbach, Adele Diamond, Solange Denervaud, Gustavo Deco   +6 more
wiley   +1 more source

Blockchain-Based Framework for Enhancing Interoperability and Security in EHR Exchange Using Lightweight ECC Proxy Re-Encryption

Acta Informatica Pragensia
Background: The sharing of electronic health records among hospitals is crucial for ensuring consistent patient treatment. However, the process remains challenging due to the existence of varied systems, privacy concerns and interoperability issues.
Devaramane Yogaraj Ashwini, Reval Prabhu Puneeth   +1 more
doaj   +1 more source

Deciphering Short‐Range Order in 2D Transition Metal Dichalcogenides: From Origin to Multi‐Scale Property Modulation

Advanced Science, EarlyView.
Short‐range order in 2D transition metal dichalcogenides is revealed as a new design paradigm. Driven by chemical affinity and atomic size, it governs properties across scales. Weak ordering tunes site‐resolved magnetism and d‐band centers, while strong ordering eliminates gap states to open band gaps.
Hanyu Liu, Linggang Zhu, Jian Zhou, Zhimei Sun   +3 more
wiley   +1 more source

Server-aided access control for cloud computing

网络与信息安全学报, 2016
With the massive diffusion of cloud computing,more and more sensitive data is being centralized into the cloud for sharing,which brings forth new challenges for the security and privacy of outsourced data.To address these challenges,the server-aided ...
WENG Jian,WENG Jia-si,LIUJia-nan,HOU Lin
doaj   +1 more source

Identity-Based Proxy Re-Encryption Scheme Using Fog Computing and Anonymous Key Generation. [PDF]

Sensors (Basel), 2023
Lin HY, Tsai TT, Ting PY, Fan YR.
europepmc   +1 more source

Proxy re‐encryption via indistinguishability obfuscation

Security and Communication Networks, 2016
AbstractIn this paper, we present a proxy re‐encryption (PRE) scheme via an indistinguishability obfuscation () by adding two algorithms to the public key encryption scheme by Sahai and Waters' (STOC 2014). Although a re‐encryption function from one public key to another can be considered as a randomized functionality on the underlying plaintext and ...
Satsuya Ohata, Kanta Matsuura
openaire   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source