Results 191 to 200 of about 6,407,651 (267)

Nanomaterials for Allergy Diagnosis and Treatment: Advances, Opportunities and Translational Challenges

Advanced Science, EarlyView.
Nanomaterials offer dual applications in allergy management. For diagnosis, nanomaterials enhance analytical sensitivity and improve detection in specific IgE and functional assays such as the basophil activation test (BAT). For allergen‐specific immunotherapy, nanomaterials enable allergen masking and controlled release, and effectively modulate the ...
Madiha Habib, Shan Jiang, Joyce ZX Lee, CW Lim, HL Yeung, Nicki YH Leung, Patrick SC Leung, Ting F Leung, Christine YY Wai   +8 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Assessing Strengths and Limitations of Magnetoencephalography Source Imaging With Intracerebral EEG

Advanced Science, EarlyView.
Simultaneous MEG and stereotactic EEG (SEEG) recordings provide a direct validation framework for MEG source imaging in focal epilepsy. Virtual SEEG signals derived from MEG reconstructions reveal significant agreement with intracranial measures of spike localization, resting‐state oscillations, and functional connectivity, while also identifying ...
Jawata Afnan, Maria Fratello, Francesca Bonini, Samuel Medina Villalon, Zhengchen Cai, Jean‐Marc Lina, Jean‐Michel Badier, Fabrice Bartolomei, Jean Gotman, Christian G. Bénar, Christophe Grova   +10 more
wiley   +1 more source

Maximalization on Event Types

Studies in Linguistics and Philosophy, 2000
In this lecture, I will propose an analysis of cumulative readings involving non-upward entailing noun phrases. I will do this by addressing the more general problem of how to deal with non-upward entailing information in the Davidsonian theory.
Fred Landman
exaly   +3 more sources

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7. Events and maximalization: The case of telicity and perfectivity

Linguistik Aktuell, 2008
Hana Filip
exaly   +3 more sources

Dynamic Event-Triggered Consensus for Multiagent Systems Under DoS Attacks: A Hybrid System Approach

IEEE Transactions on Systems, Man & Cybernetics. Systems, 2023
In this article, we investigate the consensus problem of multiagent systems (MASs) based on the event-triggered control (ETC) method. The communication between agents is transmitted through unreliable networks with denial-of-service (DoS) attacks.
Guo-Pin Liu, Ju H. Park, Chang-Chun Hua, Yafeng Li   +3 more
semanticscholar   +1 more source

On Resilient Supervisory Control Against Indefinite Actuator Attacks in Discrete-Event Systems

IEEE Control Systems Letters, 2022
In this letter we study a resilient supervisory control design problem in discrete-event systems. Consider that there are certain unsafe states in the system that must be prevented from entering, and this can be ensured by a supervisor disabling certain ...
Zi-Yue Ma, Kai Cai
semanticscholar   +1 more source

Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning

IEEE Transactions on Neural Networks and Learning Systems, 2021
Communicating agents with each other in a distributed manner and behaving as a group are essential in multi-agent reinforcement learning. However, real-world multi-agent systems suffer from restrictions on limited bandwidth communication.
Guangzhen Hu, Yuan-Heng Zhu, Dongbin Zhao, Mengchen Zhao, Jian-Ye Hao   +4 more
semanticscholar   +1 more source

Abnormal event detection in surveillance videos based on low-rank and compact coefficient dictionary learning

Pattern Recognition, 2020
In this paper, a novel approach to abnormal event detection in crowded scenes is presented based on a new low-rank and compact coefficient dictionary learning (LRCCDL) algorithm. First, based on the background subtraction and binarization of surveillance
Ang Li, Z. Miao, Yi-Gang Cen, Xiao-Ping Zhang, Lin-Na Zhang, Shiming Chen   +5 more
semanticscholar   +1 more source

Maximizing the Probability of k-Covering an Event Location

2020 IEEE 16th International Conference on Control & Automation (ICCA), 2020
In various sensor network applications like monitoring and target localization, the occurrence of an event can only be effectively located if it falls within the sensing range of at least k ≥ 3 sensors. In this paper, we develop an algorithm to optimize to optimize the positions and orientations of heterogeneous sensors in order to maximize the ...
Chaohui Gong, Chujun Gong, Zhong Guo, Yanwei Zang, Weilin Wang   +4 more
openaire   +1 more source