Results 121 to 130 of about 676,463 (285)
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
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 +8 more
wiley +1 more source
This study presents a wireless, non‐invasive strategy for neural repair by developing a biodegradable piezoelectric dural patch that, under transcranial ultrasound, generates localized electrical fields to drive endogenous neural stem cells toward neuronal differentiation and functional integration.
Pengbo Zhou +7 more
wiley +1 more source
Temporal Interference Stimulation Enhances Neural Regeneration
Temporal interference (TI) stimulation is proposed as a non‐invasive approach to enhance neural regeneration in the deep brain. Theta‐band TI modulation selectively promotes neural progenitor cell differentiation in vitro and augments hippocampal neurogenesis in amouse model of Alzheimer's disease‐like amyloidosis.
Sofia Peressott +15 more
wiley +1 more source
Fault-tolerant Verifiable Dynamic SSE with Forward and Backward Privacy
Dynamic Searchable Symmetric Encryption (DSSE) allows users to securely outsource their data to cloud servers while enabling efficient searches and updates. The verifiability property of a DSSE construction ensures that users do not accept incorrect search results from a malicious server while the fault-tolerance property guarantees the ...
Bibhas Das +3 more
openaire +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
Privacy risks induced by generative large language models and governance paths
Large language models(LLM) are leading to a new revolution in artificial intelligence technology. As LLM have the characteristics of platform, mass data dependence, frequent user interaction, and easy to be attacked, the risk of privacy disclosure is ...
LI Yaling, CAI Jingjing, BAI Jieming
doaj
Model‐Inversion‐Resistant Physical Unclonable Neural Network Using Vertical NAND Flash Memory
The growing use of neural networks in privacy‐sensitive applications necessitates architectures that inherently protect both data and model integrity.
Sung‐Ho Park +8 more
doaj +1 more source
Programmable RNA N6,2´‐O‐Dimethyladenosine Editing
ABSTRACT N6,2’‐O‐dimethyladenosine (m6Am) is a prevalent RNA modification located at the first transcribed nucleotide adjacent to the 5′ cap of mRNAs, where it has been implicated in gene regulation. However, the lack of methods for precise, transcript‐specific manipulation of m6Am has limited its functional dissection.
Yang Li +9 more
wiley +1 more source
Synaptic κ‐Ga2O3 Photodetectors for Privacy‐Enhancing Neuromorphic Computing
We report on a single‐element neuromorphic sensor based on the persistent photoconductivity (PPC) of κ‐phase Ga2O3 capable of sensing ultraviolet light and harnessing intrinsic data privacy. The approach establishes a materials‐enabled pathway toward compact, intelligent, and privacy‐enhancing optoelectronic hardware for next‐generation edge systems ...
Yanqing Jia +13 more
wiley +1 more source
The 3rd‐generation magnetic super‐stable mineralizer M‐MgAl‐700 features a core‐shell structure, strong superparamagnetism, large surface area, and abundant oxygen defects. It achieves exceptional Cd(II) and As(V) mineralization capacities, reducing both pollutants in co‐contaminated water and soil to meet national standards.
Haoran Wang +9 more
wiley +1 more source

