Results 111 to 120 of about 859,326 (258)

Nitrospinics: Nitride Materials for Spin‐Orbit and Orbital Torques From Memory to Artificial Intelligence

open access: yesAdvanced Functional Materials, EarlyView.
Further advances in applications can be anticipated through the development of unique and functional materials beyond conventional alloys. Nitrogen enables tailor‐made orbital textures in various transition‐metal hosts, paving the way for devices ranging from spintronics memory to artificial intelligence hardware.
Prabhat Kumar   +3 more
wiley   +1 more source

Configuration‐Encoded Cell Alignment by Light‐Gated Silicon Photovoltaic Microcell Arrays

open access: yesAdvanced Functional Materials, EarlyView.
Light‐gated silicon photovoltaic microcells convert pulsed illumination into localized electrical cues. Arranging otherwise similar microcells into four‐lobed, six‐lobed, or circular patterns directs fibroblasts into corresponding local arrangements without wired stimulation.
Yifan Tao   +7 more
wiley   +1 more source

Record-Linkage from a Technical Point of View [PDF]

open access: yes
TRecord linkage is used for preparing sampling frames, deduplication of lists and combining information on the same object from two different databases.
Rainer Schnell
core  

Microfluidic Architecting of Patchy MXene Core‐Shell Particles for Ultralow‐Loading Photothermal Shape‐Memory Actuation

open access: yesAdvanced Functional Materials, EarlyView.
Spatially distributing Ti3C2Tx nanosheets into core‐shell architecture, rather than as directly dispersed flakes, mitigates aggregation and enhances photon harvesting. When the Ti3C2Tx core‐shell particles are incorporated into a shape‐memory polymer matrix at an ultralow loading of 0.0024 wt%, the improved photothermal conversion translates into ...
May Maung Zaw   +12 more
wiley   +1 more source

Preserving data privacy in social recommendation

open access: yesTongxin xuebao, 2015
Social recommendation is a method which requires the participants of both user’s historical behavior data and social network,which generally belong to different parties,such as recommendation system service provider and social network service provider ...
Shu-shu LIU   +6 more
doaj   +2 more sources

Privacy preserving in the age of big data

open access: yes大数据, 2017
One of biggest concerns of big data is privacy,especially,in the processing of big data publishing or data mining.However,the study on big data privacy is still at a very early stage.The preliminary knowledge about the definition of roles and operations ...
Xianjin FANG, Yafei XIAO, Gaoming YANG
doaj  

Low-Cost Privacy-Preserving Decentralized Learning

open access: yes
24 pages, accepted at Pets 2025International audienceDecentralized learning (DL) is an emerging paradigm of collaborative machine learning that enables nodes in a network to train models collectively without sharing their raw data or relying on a central
Biswas, Sayan   +9 more
core   +1 more source

Privacy-preserving Moderation of Illegal Online Content [PDF]

open access: yes
This CETaS Research Report examines promising content moderation solutions that can help social media platforms and end-to-end encrypted (E2EE) services fulfil their new legal duties to remove illegal online content under the UK Online Safety Act (OSA)
Latham, Annabel   +5 more
core   +1 more source

Topically Delivered Treg‐Attracting Microparticle‐Hydrogel Composites Recruit Regulatory T Cells and Limit Cardiac Injury After Severe Ischemia

open access: yesAdvanced Healthcare Materials, EarlyView.
CCL22‐releasing PLGA microparticles (MP) suspended in topically applied hydrogels (HEART) establish a sustained chemokine gradient at the injured myocardium. HEART recruits CCR4+ regulatory T cells, reduces infarct size and graft fibrosis, and improves cardiac function.
Matthew A. Borrelli   +8 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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