Results 291 to 300 of about 2,429,355 (361)

Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture

Advanced Science, EarlyView.
This article reviews the current system architectures for smart agriculture and proposes a blockchain‐empowered hierarchical cyber‐physical system (H‐CPS) framework. It discusses the challenges and outlines future research directions, including the use of semantic blockchain to handle complex data and models.
Xiaoding Wang, Qibin Wu, Haitao Zeng, Xu Yang, Hui Cui, Xun Yi, Md. Jalil Piran, Ming Luo, Youxiong Que   +8 more
wiley   +1 more source

EKV-VBQ: Ensuring Verifiable Boolean Queries in Encrypted Key-Value Stores. [PDF]

Sensors (Basel)
Li Y, Chen J, Zhou F, Ji D.
europepmc   +1 more source

Macrophage WEE1 Directly Binds to and Phosphorylates NF‐κB p65 Subunit to Induce Inflammatory Response and Drive Atherosclerosis

Advanced Science, EarlyView.
The present study shows that macrophage WEE1 drives NF‐κB activation and inflammatory atherosclerosis by directly phosphorylating p65 at S536. This finding illustrates a macrophage‐specific WEE1‐p65 axis in regulating inflammatory atherosclerosis and points out new directions to broaden the clinical applications for WEE1 inhibitors in atherosclerosis ...
Zhuqi Huang, Sirui Shen, Weixin Li, Mengyang Wang, Yudie Yang, Wu Luo, Xue Han, Zheng Xu, Julian Min, Xiaohong Long, Weijian Huang, Gaojun Wu, Yi Wang, Guang Liang   +13 more
wiley   +1 more source

Neuronal FGF13 Inhibits Mitochondria‐Derived Damage Signals to Prevent Neuroinflammation and Neurodegeneration in a Mouse Model of Parkinson's Disease

Advanced Science, EarlyView.
This study elucidates a novel role of FGF13 in manipulating neuronal fate via mitochondrial transfer. FGF13 is identified as a mitochondria‐stabilizing protein by interacting with mitochondrial proteins. Under stress, the decrease of neuronal FGF13 fails to retain mitochondria within the cytoplasm, leading to the release of damaged mitochondria to ...
Nanshan Song, Xiangxu Wang, Luqing Ha, Lamei Hu, Shuyuan Mei, Yue Liang, Yujie Zhao, Xingyin Yang, Qingyu Zhang, Yuanzhang Zhou, Jianhua Ding, Yan Liu, Qigang Zhou, Feng Han, Gang Hu, Ming Lu   +15 more
wiley   +1 more source

MdDSK2a‐Like‐MdMTA Module Functions in Apple Cold Response via Regulating ROS Detoxification and Cell Wall Deposition

Advanced Science, EarlyView.
Under cold stress, MdDSK2a‐like is degraded via the 26S proteasome pathway, thereby alleviating the degradation of MdMTA induced by the 26S proteasome and autophagy pathways mediated by MdDSK2a‐like. The accumulated MdMTA increases the m6A levels of cold‐responsive genes, thereby contributing to increased ROS detoxification, deposition of cell wall, as
Nan Hou, Jieqiang He, Chana Bao, Fang Zhi, Xiaoxia Shen, Yu Liu, Chaoshuo Li, Tianle Fan, Xinyue Yang, Baohua Chu, Gege Qin, Zeyuan Liu, Chuang Mei, Bin Tan, Jiancan Feng, Fengwang Ma, Mickael Malnoy, Xuewei Li, Qingmei Guan   +18 more
wiley   +1 more source

Metaverse technology tree: a holistic view. [PDF]

Front Artif Intell
Ghazinoory S, Parvin F, Saghafi F, Afshari-Mofrad M, Ghazavi N, Fatemi M.   +5 more
europepmc   +1 more source

Toward High‐Performance Electrochemical Energy Storage Systems: A Case Study on Predicting Electrochemical Properties and Inverse Material Design of MXene‐Based Electrode Materials with Automated Machine Learning (AutoML)

Advanced Electronic Materials, EarlyView.
This study demonstrates PyCaret's AutoML framework for predicting the electrochemical and structural properties of MXene‐based electrodes, including intercalation voltage, capacity, and lattice constants. AutoML streamlines workflows, ranks key elemental descriptor, and enables inverse molecular formula prediction based on performance targets.
Berna Alemdag, Görkem Saygili, Matthias Franzreb, Gözde Kabay   +3 more
wiley   +1 more source

Materials Selection Principles for Designing Electro‐Thermal Neurons

Advanced Electronic Materials, EarlyView.
Materials property – performance relations are established for new and old electrical materials leveraged as electro‐thermal oscillators emulating neuron dynamics. Robust, reconfigurable, high frequency, low power characteristics are explicitly tied to highly nonlinear electrical transport, small specific heat, and greater electrical than thermal ...
Fatme Jardali, Jenny L. Chong, Yeonju Yu, R. Stanley Williams, Suhas Kumar, Patrick J. Shamberger, Timothy D. Brown   +6 more
wiley   +1 more source

Blockchain-enabled verification of medical records using soul-bound tokens and cloud computing. [PDF]

Sci Rep
Singh P, Sagar S, Singh S, Alshahrani HM, Getahun M, Soufiene BO.   +5 more
europepmc   +1 more source

What matters for agricultural trade? Assessing the role of trade deal provisions using machine learning

Applied Economic Perspectives and Policy, EarlyView.
Abstract This paper employs machine learning to determine which preferential trade agreement (PTA) provisions are relevant to agricultural trade patterns and the factors that may influence their adoption. Utilizing the three‐way gravity model, we apply plug‐in Lasso regularized regression to pinpoint predictive PTA provisions for agricultural trade ...
Stepan Gordeev, Jeremy Jelliffe, Dongin Kim, Sandro Steinbach   +3 more
wiley   +1 more source