Results 221 to 230 of about 1,840,684 (372)
Privacy preserving optimization of communication networks. [PDF]
Lei D +9 more
europepmc +1 more source
Federated Cyber Defense: Privacy-Preserving Ransomware Detection Across Distributed Systems [PDF]
Daniel M. Jimenez-Gutierrez +4 more
openalex +1 more source
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 +6 more
wiley +1 more source
This work identifies M1 macrophage‐mediated inflammation as a key driver of BMSC senescence and bone microstructural deterioration at the enthesis. A tissue‐adhesive hydrogel delivering senomorphic small extracellular vesicles suppresses this inflammatory‐senescent cascade and enhances BMSC resilience by inhibiting the cGAS‐STING‐NF‐κB pathway.
Lingzhi Kong +8 more
wiley +1 more source
BloomSec: Scalable and privacy-preserving searchable encryption for cloud environments. [PDF]
Khan AN +5 more
europepmc +1 more source
Wearable Tailored Passive Radiative Cooling Textile for Flexible Electronic Integration
A scalable, additive‐free wearable tailored passive radiative cooling textile (WRCT) with hierarchically structured fibers delivers exceptional thermal management, combining >95% solar reflectance, 0.96 mid‐infrared emissivity, and ultralow thermal conductivity (0.041 W/m·K).
Lung Chow +24 more
wiley +1 more source
Tokenization techniques for privacy-preserving healthcare data: tokenization nuts and bolts. [PDF]
Cook CV.
europepmc +1 more source
Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning [PDF]
Mathieu Galtier, Camille Marini
openalex +1 more source
Model‐Inversion‐Resistant Physical Unclonable Neural Network Using Vertical NAND Flash Memory
Schematic and key features of the proposed forward‐forward physical unclonable neural network (FF‐PUNN), incorporating a concealable physical unclonable function (PUF) layer and forward‐forward (FF) learning. ABSTRACT The growing use of neural networks in privacy‐sensitive applications necessitates architectures that inherently protect both data and ...
Sung‐Ho Park +8 more
wiley +1 more source

