Results 131 to 140 of about 119,150 (289)
Privacy risks induced by generative large language models and governance paths
智能科学与技术学报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
Advanced Science, EarlyView.Exosomal miR‐146a‐5p is identified as a pivotal regulator in steroid‐induced osteonecrosis. Its reduction activates NF‐κB signaling, compromises mitophagy, and disrupts mitochondrial bioenergetics, resulting in autophagic disequilibrium. Engineered exosomes delivering miR‐146a‐5p reinstate mitochondrial function, augment oxidative phosphorylation and ...
Zehui Lv +13 more
wiley +1 more source
, 2020 Nowadays, the use of database outsourcing is on the rise. Since the service provider may not be fully trusted, a crucial requirement in outsourced data sharing is therefore to ensure that users can verify the integrity and authenticity of their query ...
Surya Nepal (9558705) +6 more
core
Towards a Forward-Looking Conceptualization of Privacy
, 2021 Privacy is a fluid and ever-evolving concept, studied across multiple fields and with numerous definitions. Privacy research in information systems (IS) is extensive yet has not traveled far beyond the IS realm and fully engaged in the broader ...
Chipidza, Wallace, Kallemeyn, David
core
Advanced Science, EarlyView.This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu +6 more
wiley +1 more source
Accountable-eHealth systems : the next step forward for privacy
, 2012 EHealth systems promise enviable benefits and capabilities for healthcare. But, the technologies that make these capabilities possible brings with them undesirable drawback such as information security related threats which need to be appropriately ...
Iannella, Renato +3 more
core
Advanced Science, EarlyView.This study develops 16:0 LPC‐modified lipid nanoparticles (LPC‐LNPs) with cancer cell specificity by exploiting altered tumor lipid metabolism. LPC‐LNPs encapsulating Cd28 small interfering RNA (LPC‐LNP‐Cd28) knock down cancer cell CD28 without affecting T cells, inflame the tumor microenvironment, and overcome anti‐PD‐1 resistance.
Yangyang Chai +12 more
wiley +1 more source
Accountable-eHealth systems : the next step forward for privacy
, 2014 eHealth systems promise enviable benefits and capabilities for healthcare delivery. However, the technologies that make these capabilities possible introduce undesirable drawbacks such as information security related threats, which need to be ...
Iannella, Renato +3 more
core
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
Advanced Science, EarlyView.This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
Efficient and privacy-preserving profile matching protocols in opportunistic networks
Tongxin xuebao, 2015 In opportunistic networks,users can take the advantage of parallel opportunistic contacts with other mobile users and find the appropriate helpers to forward the messages or share the contents.Most of the existing profile-matching protocols were designed
Yong-kai LI +3 more
doaj +2 more sources