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Article
GCAM: Gaussian and causal-attention model of food fine-grained recognition
Currently, most food recognition relies on deep learning for category classification. However, these approaches struggle to effectively distinguish between visually similar food samples, highlighting the press...
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Article
Lactobacillus crispatus 7-4 Mitigates Salmonella typhimurium-Induced Enteritis via the γ‑Glutamylcysteine-Mediated Nrf2 Pathway
Salmonella typhimurium (S. typhimurium) constitutes a major public health concern. We have previously proven that Lactobacillus crispatus 7-4 (L. crispatus 7-4) can inhibit the growth of S. typhimurium and thus c...
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Article
Experimental study of quenching behavior of quenchant prepared from gutter oil at different oil bath temperatures
The reuse of gutter oil has always been a sensitive social issue. In the heat treatment industry, engineers have also been troubled by the need to move away from dependence on petroleum derivatives for cleaner...
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Article
Few-shot semantic segmentation via multi-level feature extraction and multi-prototype localization
Few-shot Semantic Segmentation (FSS) segments query images only by using a few support images with ground truth. The existing methods usually extract a single prototype from the support image feature, which re...
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Article
Open AccessExploring the preparation of YbBa2Cu3O7−y superconductor in flowing oxygen atmosphere
REBCO has been used extensively as coated conductors applied to superconducting magnets due to its exceptional superconducting properties. As a REBCO superconductor, YbBa2Cu3O7−y (Yb123) has a low melting tempera...
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Article
Microencapsulate Probiotics (MP) Promote Growth Performance and Inhibit Inflammatory Response in Broilers Challenged with Salmonella typhimurium
Antibiotic-resistant bacteria are prevalent in husbandry around the world due to the abuse of antibiotic growth promoters (AGPs); therefore, it is necessary to find alternatives to AGPs in animal feed. Among a...
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Article
Open AccessADSCs labeled with SPIONs tracked in corpus cavernosum of rat and miniature pig by MR imaging and histological examination
Adipose tissue-derived stem cells (ADSCs) have been shown to improve erectile function in animal models of erectile dysfunction. However, few studies have been carried out using a reliable in vivo imaging meth...
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Chapter and Conference Paper
VANet: A New Network for Multi-modal Self-supervised Learning from Video and Audio
A new Network for Multi-modal Self-Supervised Learning from Video and Audio (VANet) is proposed for video action recognition. To overcome the input issues of different modalities, we establish auxiliary tasks ...
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Chapter and Conference Paper
MMT: Transformer for Multi-modal Multi-label Self-supervised Learning
We proposed a novel network, called Transformer, for Multi-modal Multi-label Self-Supervised Learning (MMT) in the context of video classification. Our approach tackles the input challenges arising from differ...
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Chapter and Conference Paper
Comparison of Distributed Coil Connections for Medium and High Distance-to-Diameter Ratio IPT Systems
Large voltage stresses exist on the coupling pads and compensation capacitors in the medium to high distance-to-diameter ratio induction power transmission applications at more significant power levels. The ex...
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Chapter and Conference Paper
A Review of Visual Transformer Research
The development of Transformer in the field of computer vision has been very rapid in the past two years. Influenced by the development of Transformer in natural language processing and the research ideas of V...
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Chapter and Conference Paper
The Fault-Tolerant Multi-coil WPT System with Coil Parameter Consistency
Wireless Power Transfer (WPT) solves the friction problem of contact slip rings by its non-contacting characteristics. If WPT is to be applied in spacecraft, the WPT system must be designed for fault tolerance...
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Chapter and Conference Paper
New Predefined-Time Stability Theorem and Applications to the Fuzzy Stochastic Memristive Neural Networks with Impulsive Effects
The paper mainly investigates the issue of achieving predefined-time synchronization for fuzzy memristive neural networks with both impulsive effects and stochastic disturbances. Firstly, due to the fact that ...
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Chapter and Conference Paper
Predefined-Time Synchronization of Complex Networks with Disturbances by Using Sliding Mode Control
This paper aims to investigate the issue of predefined-time synchronization in complex networks with disturbances using sliding mode control technology. Firstly, a new predefined-time stability lemma is propos...
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Chapter and Conference Paper
Deep Self-supervised Subspace Clustering with Triple Loss
Deep subspace clustering (DSC) methods are widely used in various fields such as motion segmentation, image segmentation, and text mining. It uses the deep neural network to map high-dimensional features into...
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Chapter and Conference Paper
Predefined-Time Event-Triggered Consensus for Nonlinear Multi-Agent Systems with Uncertain Parameter
In this paper, a novel predefined-time event-triggered control method is proposed, which achieved to the consistency of multi-agent systems with uncertain parameter. Firstly, a new predefined-time stability th...
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Chapter and Conference Paper
Retrievable Image Encryption Based on Adaptive Block Compressed Sensing
The increasing popularity of the internet and mobile devices, cloud storage has emerged as a popular storage method. However, because data carries a lot of information, untrustworthy servers can access users’ ...
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Article
A Comprehensive Method for Similarity Evaluation in Discrete Fracture Network Modeling of Jointed Rock Masses
To verify the accuracy and rationality of discrete fracture network modeling, a comprehensive method for evaluating the similarity between two-dimensional fracture maps is proposed in this study. Five evaluati...
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Article
An Improved Fixed-Time Stability Theorem and its Application to the Synchronization of Stochastic Impulsive Neural Networks
In this paper, the fixed-time synchronization of stochastic impulsive neural networks with time-varying delays is studied. For the stability problem of nonlinear systems with impulsive effects, a new fixed-tim...
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Article
Open AccessWireless, battery-free, multifunctional integrated bioelectronics for respiratory pathogens monitoring and severity evaluation
The rapid diagnosis of respiratory virus infection through breath and blow remains challenging. Here we develop a wireless, battery-free, multifunctional pathogenic infection diagnosis system (PIDS) for diagno...
