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The Advanced Role of Carbon Quantum Dots in Nano-Food Science: Applications, Bibliographic Analysis, Safety Concerns, and Perspectives
Published 2024-12-01“…This article discussed the sources, fabrication methods, advantages, and limitations of CQDs as a sensing for the detection of food contaminants. …”
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Testing source elevation versus genotype as predictors of sugar pine performance in a post‐fire restoration planting
Published 2024-10-01“…Abstract Climate change is motivating a reassessment of how seeds are selected for reforestation, as rapid environmental change can lead to local maladaptation in trees. …”
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Aptamer-Functionalized Gold Nanoparticle Assay for Rapid Visual Detection of Norovirus in Stool Samples
Published 2025-06-01“…Detection relies on MgCl<sub>2</sub>-induced changes in the color and absorbance of these aptamer-functionalized AuNPs. …”
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Thermonuclear Superburst of MAXI J1752−457 Observed with NinjaSat and MAXI
Published 2025-01-01“…An uncatalogued bright X-ray transient was detected with MAXI on 2024 November 9, named MAXI J1752−457. …”
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DIAMOND2GO: rapid Gene Ontology assignment and enrichment detection for functional genomics
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Detection of Sensitive Malicious Android Functionalities Using Inter-Component Control-Flow Analysis
Published 2025-01-01“…The paper proposes a robust inter-component communication (ICC) based detection approach to identify such hidden functionality exploited by adversaries. …”
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A statistical approach to assess interspecific consumptive competition and functional redundancy in ephemeral resource uses using camera traps
Published 2024-07-01“…We extended time‐to‐detection occupancy modeling to quantify interspecific consumptive competition and redundancy of ecosystem functions through consumption between two species, while accounting for observation censoring. …”
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SHIVA-CMB: a deep-learning-based robust cerebral microbleed segmentation tool trained on multi-source T2*GRE- and susceptibility-weighted MRI
Published 2024-12-01“…An increasing number of automated CMB detection methods being proposed are based on supervised deep learning (DL). …”
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Investigating the impact of the regularization parameter on EEG resting-state source reconstruction and functional connectivity using real and simulated data
Published 2024-12-01“…Accurate EEG source localization is crucial for mapping resting-state network dynamics and it plays a key role in estimating source-level functional connectivity. …”
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Source Process Estimation for the 2024 Mw 7.1 Hyuganada, Japan, Earthquake and Forward Modeling Using N‐net Ocean Bottom Seismometer Data
Published 2025-05-01“…The N‐net seafloor seismograms of the mainshock with a frequency of ∼0.05 Hz recorded east of the source area were reproduced for several stations using the empirical Green's function approach based on the estimated source process data.…”
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CO2 to fuel: Role of polymer electrolytes on efficiency and selectivity
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PFW-YOLO Lightweight Helmet Detection Algorithm
Published 2025-01-01“…However, due to the limited arithmetic and storage resources of edge-end devices, and the traditional detection algorithms have problems such as the number of parameters and large computational volume, the detection algorithms are difficult to be deployed practically. …”
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Design and analysis of intelligent service chain system for network security resource pool
Published 2022-08-01“…The traditional network security architecture ensures network security by directing traffic through hardware based network security function devices.Since the architecture consists of fixed hardware devices, it leads to a single form of network security area deployment and poor scalability.Besides, the architecture cannot be flexibly adjusted when facing network security events, making it difficult to meet the security needs of future networks.The intelligent service chain system for network security resource pool was based on software-defined network and network function virtualization technologies, which can effectively solve the above problems.Network security functions of virtual form were added based on network function virtualization technology, combined with the existing hardware network elements to build a network security resource pool.In addition, the switching equipment connected to the network security elements can be flexibly controlled based on software-defined network technology.Then a dynamically adjustable network security service chain was built.Network security events were detected based on security log detection and a expert library consisting of security rules.This enabled dynamic and intelligent regulation of the service chain by means of centralized control in the face of network security events.The deployment process of the service chain was mathematically modeled and a heuristic algorithm was designed to realize the optimal deployment of the service chain.By building a prototype system and conducting experiments, the results show that the designed system can detect security events in seconds and automatically adjust the security service chain in minutes when facing security events, and the designed heuristic algorithm can reduce the occupation of virtual resources by 65%.The proposed system is expected to be applied to the network security area at the exit of the campus and data center network, simplifying the operation and maintenance of this area and improving the deployment flexibility of this area.…”
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