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Keywords = active anti-jamming

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24 pages, 3953 KiB  
Article
A New Signal Separation and Sampling Duration Estimation Method for ISRJ Based on FRFT and Hybrid Modality Fusion Network
by Siyu Wang, Chang Zhu, Zhiyong Song, Zhanling Wang and Fulai Wang
Remote Sens. 2025, 17(15), 2648; https://doi.org/10.3390/rs17152648 - 30 Jul 2025
Viewed by 210
Abstract
Accurate estimation of Interrupted Sampling Repeater Jamming (ISRJ) sampling duration is essential for effective radar anti-jamming. However, in complex electromagnetic environments, the simultaneous presence of suppressive and deceptive jamming, coupled with significant signal overlap in the time–frequency domain, renders ISRJ separation and parameter [...] Read more.
Accurate estimation of Interrupted Sampling Repeater Jamming (ISRJ) sampling duration is essential for effective radar anti-jamming. However, in complex electromagnetic environments, the simultaneous presence of suppressive and deceptive jamming, coupled with significant signal overlap in the time–frequency domain, renders ISRJ separation and parameter estimation considerably challenging. To address this challenge, this paper proposes a method utilizing the Fractional Fourier Transform (FRFT) and a Hybrid Modality Fusion Network (HMFN) for ISRJ signal separation and sampling-duration estimation. The proposed method first employs FRFT and a time–frequency mask to separate the ISRJ and target echo from the mixed signal. This process effectively suppresses interference and extracts the ISRJ signal. Subsequently, an HMFN is employed for high-precision estimation of the ISRJ sampling duration, offering crucial parameter support for active electromagnetic countermeasures. Simulation results validate the performance of the proposed method. Specifically, even under strong interference conditions with a Signal-to-Jamming Ratio (SJR) of −5 dB for deceptive jamming and as low as −10 dB for suppressive jamming, the regression model’s coefficient of determination still reaches 0.91. This result clearly demonstrates the method’s robustness and effectiveness in complex electromagnetic environments. Full article
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17 pages, 1234 KiB  
Article
Fractional-Order Sliding Mode with Active Disturbance Rejection Control for UAVs
by Zhikun Zhang and Hui Zhang
Appl. Sci. 2025, 15(2), 556; https://doi.org/10.3390/app15020556 - 8 Jan 2025
Cited by 3 | Viewed by 1134
Abstract
This paper investigates the attitude control problem of unmanned aerial vehicles (UAVs), especially in the presence of uncertainties and external disturbances. To address this challenge, a fractional-order reaching law sliding mode with active disturbance rejection controller (FOSM-ADRC) is proposed. The controller combines a [...] Read more.
This paper investigates the attitude control problem of unmanned aerial vehicles (UAVs), especially in the presence of uncertainties and external disturbances. To address this challenge, a fractional-order reaching law sliding mode with active disturbance rejection controller (FOSM-ADRC) is proposed. The controller combines a fractional-order calculus operator and active disturbance rejection controller (ADRC) techniques to enhance the dynamic performance and robustness of the system. Through the inner and outer loop design, the jitter of the sliding mode controller (SMC) is effectively suppressed, and fast response and strong anti-jamming ability are achieved, which, in turn, improves the control accuracy. Firstly, the dynamic model of the UAV is established, and its nonlinear dynamic characteristics are analyzed in detail. On this basis, a fractional-order reaching law sliding mode controller (FO-SMC) is designed as the outer loop to achieve fast response. ADRC is employed in the inner loop to compensate for the internal and external disturbances of the system. The results show that the FOSM-ADRC can effectively suppress the jitter phenomenon and maintain good control performance. Full article
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23 pages, 7007 KiB  
Article
Amelioration of Toll-like Receptor-4 Signaling and Promotion of Mitochondrial Function by Mature Silkworm Extracts in Ex Vivo and in Vitro Macrophages
by Trinh Yen Binh Phan, Byungki Jang, Sang-Kuk Kang, Jongbok Seo, Seong-Ryul Kim, Kee-Young Kim and Young Ho Koh
Nutrients 2024, 16(22), 3932; https://doi.org/10.3390/nu16223932 - 18 Nov 2024
Viewed by 1229
Abstract
Objectives: The unknown immune-enhancing effects of steamed mature silkworms (Bombyx mori L.), known as HongJam (HJ), were investigated. Methods: Supercritical fluid extracts from the White Jade variety of HJ (WJ-SCEs) were applied to in vitro RAW264.7 macrophages (RAWMs) and ex vivo bone [...] Read more.
Objectives: The unknown immune-enhancing effects of steamed mature silkworms (Bombyx mori L.), known as HongJam (HJ), were investigated. Methods: Supercritical fluid extracts from the White Jade variety of HJ (WJ-SCEs) were applied to in vitro RAW264.7 macrophages (RAWMs) and ex vivo bone marrow-derived macrophages (BMDMs). Results: WJ-SCE enhanced the proliferation and viability of both RAWMs and BMDMs. Supplementation with WJ-SCE significantly reduced the lipopolysaccharide (LPS)-induced expression of iNOS mRNA and protein, resulting in decreased nitric oxide (NO) production. Additionally, WJ-SCE lowered the mRNA and protein expression of COX-2 and reduced the levels of pro-inflammatory cytokines. The mitochondrial function, ATP levels, and reactive oxygen species levels in LPS-treated macrophages were restored following WJ-SCE treatment. WJ-SCE modulated LPS-Toll-like receptor-4 (TLR-4) signaling by reducing the levels of phosphorylated (p)-p38, p-ERK1/2, and p-p65. WJ-SCE also restored gene expression related to cytokines, chemokines, glucose transport, mitochondrial metabolism, and TLR-4 signaling, suggesting the inhibition of pro-inflammatory M1 macrophage polarization. Furthermore, WJ-SCE enhanced macrophage phagocytic and pinocytotic activity. Conclusions: WJ-SCE demonstrated anti-inflammatory effects by inhibiting LPS-induced M1 polarization in both macrophage types, potentially suppressing chronic inflammation while enhancing phagocytosis and pinocytosis. Full article
(This article belongs to the Section Nutritional Immunology)
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26 pages, 15162 KiB  
Article
Research on SAR Active Anti-Jamming Imaging Based on Joint Random Agility of Inter-Pulse Multi-Parameters in the Presence of Active Deception
by Shilong Chen, Lin Liu, Xiaobei Wang, Luhao Wang and Guanglei Yang
Remote Sens. 2024, 16(17), 3303; https://doi.org/10.3390/rs16173303 - 5 Sep 2024
Cited by 1 | Viewed by 1623
Abstract
Synthetic aperture radar (SAR) inter-pulse parameter agility technology involves dynamically adjusting parameters such as the pulse width, chirp rate, carrier frequency, and pulse repetition interval within a certain range; this effectively increases the complexity and uncertainty of radar waveforms, thereby countering active deceptive [...] Read more.
Synthetic aperture radar (SAR) inter-pulse parameter agility technology involves dynamically adjusting parameters such as the pulse width, chirp rate, carrier frequency, and pulse repetition interval within a certain range; this effectively increases the complexity and uncertainty of radar waveforms, thereby countering active deceptive interference signals from multiple dimensions. With the development of active deceptive interference technology, single-parameter agility can no longer meet the requirements, making multi-parameter joint agility one of the main research directions. However, inter-pulse carrier frequency agility can cause azimuth Doppler chirp rate variation, making azimuth compression difficult and compensation computationally intensive, thus hindering imaging. Additionally, pulse repetition interval (PRI) agility leads to non-uniform azimuth sampling, severely deteriorating image quality. To address these issues, this paper proposes a multi-parameter agile SAR imaging scheme based on traditional frequency domain imaging algorithms. This scheme can handle joint agility of pulse width, chirp rate polarity, carrier frequency, and PRI, with relatively low computational complexity, making it feasible for engineering implementation. By inverting SAR images, the echoes with multi-parameter joint agility are obtained, and active deceptive interference signals are added for processing. The interference-suppressed imaging results verify the effectiveness of the proposed method. Furthermore, simulation results of point targets with multiple parameters under the proposed processing algorithm show that the peak sidelobe ratio (PSLR) and integrated sidelobe ratio (ISLR) are improved by 12 dB and 10 dB, respectively, compared to the traditional fixed waveform scheme. Full article
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20 pages, 2252 KiB  
Article
Anti-Jamming Resource-Allocation Method in the EH-CIoT Network through LWDDPG Algorithm
by Fushuai Li, Jiawang Bao, Jun Wang, Da Liu, Wencheng Chen and Ruiquan Lin
Sensors 2024, 24(16), 5273; https://doi.org/10.3390/s24165273 - 14 Aug 2024
Cited by 1 | Viewed by 1119
Abstract
In the Energy-Harvesting (EH) Cognitive Internet of Things (EH-CIoT) network, due to the broadcast nature of wireless communication, the EH-CIoT network is susceptible to jamming attacks, which leads to a serious decrease in throughput. Therefore, this paper investigates an anti-jamming resource-allocation method, aiming [...] Read more.
In the Energy-Harvesting (EH) Cognitive Internet of Things (EH-CIoT) network, due to the broadcast nature of wireless communication, the EH-CIoT network is susceptible to jamming attacks, which leads to a serious decrease in throughput. Therefore, this paper investigates an anti-jamming resource-allocation method, aiming to maximize the Long-Term Throughput (LTT) of the EH-CIoT network. Specifically, the resource-allocation problem is modeled as a Markov Decision Process (MDP) without prior knowledge. On this basis, this paper carefully designs a two-dimensional reward function that includes throughput and energy rewards. On the one hand, the Agent Base Station (ABS) intuitively evaluates the effectiveness of its actions through throughput rewards to maximize the LTT. On the other hand, considering the EH characteristics and battery capacity limitations, this paper proposes energy rewards to guide the ABS to reasonably allocate channels for Secondary Users (SUs) with insufficient power to harvest more energy for transmission, which can indirectly improve the LTT. In the case where the activity states of Primary Users (PUs), channel information and the jamming strategies of the jammer are not available in advance, this paper proposes a Linearly Weighted Deep Deterministic Policy Gradient (LWDDPG) algorithm to maximize the LTT. The LWDDPG is extended from DDPG to adapt to the design of the two-dimensional reward function, which enables the ABS to reasonably allocate transmission channels, continuous power and work modes to the SUs, and to let the SUs not only transmit on unjammed channels, but also harvest more RF energy to supplement the battery power. Finally, the simulation results demonstrate the validity and superiority of the proposed method compared with traditional methods under multiple jamming attacks. Full article
(This article belongs to the Section Communications)
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16 pages, 5245 KiB  
Article
Changes in Anticholinesterase and Antioxidant Activities of Fruit Products during Storage
by Dorota Gajowniczek-Ałasa, Ewa Baranowska-Wójcik and Dominik Szwajgier
Appl. Sci. 2024, 14(14), 6187; https://doi.org/10.3390/app14146187 - 16 Jul 2024
Cited by 1 | Viewed by 1055
Abstract
In this work, compotes, juices, and jams were produced using chokeberry, cherry, apricot, peach, apple (Idared and Champion), wild strawberry, or raspberry fruits. The anticholinesterase as well as antioxidant activities of fruits and preserves (freshly prepared and after 1, 5, and 10 months [...] Read more.
In this work, compotes, juices, and jams were produced using chokeberry, cherry, apricot, peach, apple (Idared and Champion), wild strawberry, or raspberry fruits. The anticholinesterase as well as antioxidant activities of fruits and preserves (freshly prepared and after 1, 5, and 10 months of storage) were compared. The loss (p < 0.05) of the anti-acetylcholinesterase (AChE) activity of freshly prepared products vs. corresponding fruits was observed (all preserves from raspberry, cherry juice and jam, apricot juice, and Idared and wild strawberry jams) while chokeberry juice and apricot compote increased the anti-AChE activity. In the case of the anti-BChE activity of freshly prepared products, no change (apricot juice and jam), the loss (chokeberry compote and jam, cherry juice and jam, Champion compote, p < 0.05), or the increase in the activity (peach and apple Idared, apricot compote, juice, apricot compote, raspberry juice, p < 0.05) were recorded. In most cases, the anticholinesterase activities of freshly prepared products vs. products stored for 10 months were retained, and no considerable losses of the biological activities were observed. Even after 10 months of storage, all of the preserves retained the anti-AChE activity (except apricot and Idared compotes, chokeberry, cherry and Idared juices, and chokeberry and apricot jams, p < 0.05). Similarly, the preserves retained the anti-BChE activity after 10 months of storage (at p < 0.05, except cherry, apricot, peach and Idared compotes, chokeberry juice and chokeberry, peach and raspberry jams, at p < 0.05). Full article
(This article belongs to the Special Issue Antioxidant Compounds in Food Processing)
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18 pages, 6416 KiB  
Article
Frequency Diversity Array Radar and Jammer Intelligent Frequency Domain Power Countermeasures Based on Multi-Agent Reinforcement Learning
by Changlin Zhou, Chunyang Wang, Lei Bao, Xianzhong Gao, Jian Gong and Ming Tan
Remote Sens. 2024, 16(12), 2127; https://doi.org/10.3390/rs16122127 - 12 Jun 2024
Cited by 1 | Viewed by 1425
Abstract
With the development of electronic warfare technology, the intelligent jammer dramatically reduces the performance of traditional radar anti-jamming methods. A key issue is how to actively adapt radar to complex electromagnetic environments and design anti-jamming strategies to deal with intelligent jammers. The space [...] Read more.
With the development of electronic warfare technology, the intelligent jammer dramatically reduces the performance of traditional radar anti-jamming methods. A key issue is how to actively adapt radar to complex electromagnetic environments and design anti-jamming strategies to deal with intelligent jammers. The space of the electromagnetic environment is dynamically changing, and the transmitting power of the jammer and frequency diversity array (FDA) radar in each frequency band is continuously adjustable. Both can learn the optimal strategy by interacting with the electromagnetic environment. Considering that the competition between the FDA radar and the jammer is a confrontation process of two agents, we find the optimal power allocation strategy for both sides by using the multi-agent deep deterministic policy gradient (MADDPG) algorithm based on multi-agent reinforcement learning (MARL). Finally, the simulation results show that the power allocation strategy of the FDA radar and the jammer can converge and effectively improve the performance of the FDA radar and the jammer in the intelligent countermeasure environment. Full article
(This article belongs to the Topic Radar Signal and Data Processing with Applications)
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16 pages, 4149 KiB  
Article
AK-MADDPG-Based Antijamming Strategy Design Method for Frequency Agile Radar
by Zhidong Zhu, Xiaoying Deng, Jian Dong, Cheng Feng and Xiongjun Fu
Sensors 2024, 24(11), 3445; https://doi.org/10.3390/s24113445 - 27 May 2024
Cited by 2 | Viewed by 1450
Abstract
Frequency agility refers to the rapid variation of the carrier frequency of adjacent pulses, which is an effective radar active antijamming method against frequency spot jamming. Variation patterns of traditional pseudo-random frequency hopping methods are susceptible to analysis and decryption, rendering them ineffective [...] Read more.
Frequency agility refers to the rapid variation of the carrier frequency of adjacent pulses, which is an effective radar active antijamming method against frequency spot jamming. Variation patterns of traditional pseudo-random frequency hopping methods are susceptible to analysis and decryption, rendering them ineffective against increasingly sophisticated jamming strategies. Although existing reinforcement learning-based methods can adaptively optimize frequency hopping strategies, they are limited in adapting to the diversity and dynamics of jamming strategies, resulting in poor performance in the face of complex unknown jamming strategies. This paper proposes an AK-MADDPG (Adaptive K-th order history-based Multi-Agent Deep Deterministic Policy Gradient) method for designing frequency hopping strategies in frequency agile radar. Signal pulses within a coherent processing interval are treated as agents, learning to optimize their hopping strategies in the case of unknown jamming strategies. Agents dynamically adjust their carrier frequencies to evade jamming and collaborate with others to enhance antijamming efficacy. This approach exploits cooperative relationships among the pulses, providing additional information for optimized frequency hopping strategies. In addition, an adaptive K-th order history method has been introduced into the algorithm to capture long-term dependencies in sequential data. Simulation results demonstrate the superior performance of the proposed method. Full article
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22 pages, 4989 KiB  
Article
Electro-Hydraulic Servo-Pumped Active Disturbance Rejection Control in Wind Turbines for Enhanced Safety and Accuracy
by Tiangui Zhang, Haohui Yu, Bo Yu, Chao Ai, Xiaoxiang Lou, Pengjie Xiang, Ruilin Li and Jianchen Li
Processes 2024, 12(5), 908; https://doi.org/10.3390/pr12050908 - 29 Apr 2024
Cited by 3 | Viewed by 1448
Abstract
Aiming at the high accuracy and high robustness position control of servo pump control in the pitch system of a wind turbine generator, this paper proposes an active disturbance rejection controller (ADRC). The ADRC considers pitch angular velocity and acceleration limits. According to [...] Read more.
Aiming at the high accuracy and high robustness position control of servo pump control in the pitch system of a wind turbine generator, this paper proposes an active disturbance rejection controller (ADRC). The ADRC considers pitch angular velocity and acceleration limits. According to the kinematics principle of the pump-controlled pitch system, the relationship between the pitch angular velocity and acceleration limit and the displacement of the hydraulic cylinder is established. Through the method of theoretical analysis, the nonlinear relationship expression between pitch angle and hydraulic cylinder displacement is obtained, and the linearization of pitch angular velocity control is realized; the formula for b0 (the estimated value of the input gain of the system) of the pump-controlled pitch system is obtained by the method of modeling and analysis, b0 is the key parameter for the design of the ADRC; the stability of the controller parameters is proved through the stability analysis and simulation analysis, and the design of the self-immobilizing controller with pitch angular velocity and acceleration limitation is the completed ADRC design. Finally, a joint simulation platform of AMESim and MATLAB as well as a physical experiment platform of electro-hydraulic servo pump-controlled pitch control is constructed, and the effectiveness of the proposed control method is verified through simulation and experiment. The results show that compared with the unrestricted ADRC and PID, the velocity-acceleration-limited ADRC can effectively improve the control effect of the angular velocity and acceleration of the paddle, smooth the startup process, improve the safety of the system, and have better position control accuracy and anti-jamming ability. Full article
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18 pages, 6619 KiB  
Article
A Sliding-Mode Current Decoupling Control Strategy for an Active Power Filter Based on an Internal Model
by Changning Pan, Haibo Du and Zheng Lan
Electronics 2024, 13(7), 1333; https://doi.org/10.3390/electronics13071333 - 2 Apr 2024
Viewed by 1349
Abstract
With the ongoing development of electronic power technologies, harmonic pollution in the power grid has become a topic of great concern. This study takes a substation as its background. The safe and steady operation of the station’s equipment was impacted by a 10 [...] Read more.
With the ongoing development of electronic power technologies, harmonic pollution in the power grid has become a topic of great concern. This study takes a substation as its background. The safe and steady operation of the station’s equipment was impacted by a 10 kV bus’s harmonic current, which was significantly higher than the required amount. We propose a sliding-mode current decoupling control strategy based on an internal model to address the problems of complex harmonic current detection and distortion in the power supply current when there are nonlinear load changes in hybrid active power filters. By establishing a mathematical model for a HAPF, our proposed strategy can be used for inner current loops with the goal of stability, decoupling control between the d- and q-axes, fast-tracking harmonic reference currents, and optimizing the controller by enhancing the system’s anti-jamming performance to ensure that the system operates stably when line parameter ingressions or step changes in the load demand occur. The outer voltage loop uses the fractional-order sliding-mode control method to keep the capacitor voltage smooth and to dynamically adjust when the load changes suddenly. Finally, this filter is compared with a filter controlled by a PI in MATLAB/Simulink, and the feasibility and effectiveness of the proposed control strategy are verified based on a diode-embedded three-level parallel-type HAPF platform. The simulation and experimental results show that our sliding-mode current decoupling control strategy based on the internal mode is characterized by simplicity, stability, and fast responses. Full article
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18 pages, 17976 KiB  
Article
Studies on High-Resolution Airborne Synthetic Aperture Radar Image Formation with Pseudo-Random Agility of Interpulse Waveform Parameters
by Zheng Ye, Daiyin Zhu, Shilin Niu and Jiming Lv
Remote Sens. 2024, 16(1), 164; https://doi.org/10.3390/rs16010164 - 30 Dec 2023
Cited by 3 | Viewed by 2184
Abstract
By means of alteration of the transmitted linear frequency modulation (LFM) signal waveform parameters, such as pulse width or chirp rate, initial phase, pulse repetition interval (PRI), and chirp rate polarity at every position of synthetic apertures, the pseudo-random agility technology of interpulse [...] Read more.
By means of alteration of the transmitted linear frequency modulation (LFM) signal waveform parameters, such as pulse width or chirp rate, initial phase, pulse repetition interval (PRI), and chirp rate polarity at every position of synthetic apertures, the pseudo-random agility technology of interpulse waveform parameters in airborne Synthetic Aperture Radar (SAR) actively increases the complexity and uncertainty of radar waveforms. This technology confuses jamming interception receivers, thus improving its anti-interference ability for active coherent jamming, which is one of the main research interests of airborne SAR technology. But the pseudo-random agility technology for interpulse waveform parameters faces certain challenges of large computation and complex system design, which need to be further studied and solved. To address these issues, a processing scheme of high-resolution SAR image formation which is appropriate for agile interpulse waveform parameters is proposed in this paper. This method can deal with multiple agile parameters, not only single ones as in most existing literature. Its computation load is nearly comparable to that of traditional SAR image formation with constant waveform parameters. The high-resolution SAR imaging results obtained by processing SAR raw data with agile interpulse waveform parameters demonstrate the effectiveness of the proposed method. In addition, real SAR images with resolutions of 0.5 m and 0.15 m, which are rarely found in the public literature, are shown under the circumstance of randomly changing the transmitted wideband LFM signal pulse parameters one by one. Full article
(This article belongs to the Special Issue Advances in Synthetic Aperture Radar Data Processing and Application)
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50 pages, 5298 KiB  
Review
Actinidia arguta (Sieb. et Zucc.) Planch. ex Miq.: A Review of Phytochemistry and Pharmacology
by Haifeng Zhang, Kun Teng and Hao Zang
Molecules 2023, 28(23), 7820; https://doi.org/10.3390/molecules28237820 - 28 Nov 2023
Cited by 9 | Viewed by 3326
Abstract
Actinidia arguta (Siebold & Zucc.) Planch ex Miq. (A. arguta) is a highly valued vine plant belonging to the Actinidia lindl genus. It is extensively utilized for its edible and medicinal properties. The various parts of A. arguta serve diverse purposes. [...] Read more.
Actinidia arguta (Siebold & Zucc.) Planch ex Miq. (A. arguta) is a highly valued vine plant belonging to the Actinidia lindl genus. It is extensively utilized for its edible and medicinal properties. The various parts of A. arguta serve diverse purposes. The fruit is rich in vitamins, amino acids, and vitamin C, making it a nutritious and flavorful raw material for producing jam, canned food, and wine. The flowers yield volatile oils suitable for essential oil extraction. The leaves contain phenolic compounds and can be used for tea production. Additionally, the roots, stems, and leaves of A. arguta possess significant medicinal value, as they contain a wide array of active ingredients that exert multiple pharmacological and therapeutic effects. These effects include quenching thirst, relieving heat, stopping bleeding, promoting blood circulation, reducing swelling, dispelling wind, and alleviating dampness. Comprehensive information on A. arguta was collected from scientific databases covering the period from 1970 to 2023. The databases used for this review included Web of Science, PubMed, ProQuest, and CNKI. The objective of this review was to provide a detailed explanation of A. arguta from multiple perspectives, such as phytochemistry and pharmacological effects. By doing so, it aimed to establish a solid foundation and propose new research ideas for further exploration of the plant’s potential applications and industrial development. To date, a total of 539 compounds have been isolated and identified from A. arguta. These compounds include terpenoids, flavonoids, phenolics, phenylpropanoids, lignin, organic acids, volatile components, alkanes, coumarins, anthraquinones, alkaloids, polysaccharides, and inorganic elements. Flavonoids, phenolics, alkaloids, and polysaccharides are the key bioactive constituents of A. arguta. Moreover, phenolics and flavonoids in A. arguta exhibit remarkable antioxidant, anti-inflammatory, and anti-tumor properties. Additionally, they show promising potential in improving glucose metabolism, combating aging, reducing fatigue, and regulating the immune system. While some fundamental studies on A. arguta have been conducted, further research is necessary to enhance our understanding of its mechanism of action, quality evaluation, and compatibility mechanisms. A more comprehensive investigation is highly warranted to explore the mechanism of action and expand the range of drug resources associated with A. arguta. This will contribute to the current hot topics of anti-aging and anti-tumor drug research and development, thereby promoting its further development and utilization. Full article
(This article belongs to the Special Issue Medicinal Value of Natural Bioactive Compounds and Plant Extracts)
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21 pages, 16032 KiB  
Article
Transcriptome Dynamics of Brassica juncea Leaves in Response to Omnivorous Beet Armyworm (Spodoptera exigua, Hübner)
by Rui Xia, Liai Xu, Jiaojiao Hao, Lili Zhang, Shanyi Wang, Zhujun Zhu and Youjian Yu
Int. J. Mol. Sci. 2023, 24(23), 16690; https://doi.org/10.3390/ijms242316690 - 24 Nov 2023
Cited by 1 | Viewed by 1687
Abstract
Cruciferous plants manufacture glucosinolates (GSLs) as special and important defense compounds against insects. However, how insect feeding induces glucosinolates in Brassica to mediate insect resistance, and how plants regulate the strength of anti-insect defense response during insect feeding, remains unclear. Here, mustard ( [...] Read more.
Cruciferous plants manufacture glucosinolates (GSLs) as special and important defense compounds against insects. However, how insect feeding induces glucosinolates in Brassica to mediate insect resistance, and how plants regulate the strength of anti-insect defense response during insect feeding, remains unclear. Here, mustard (Brassica juncea), a widely cultivated Brassica plant, and beet armyworm (Spodoptera exigua), an economically important polyphagous pest of many crops, were used to analyze the changes in GSLs and transcriptome of Brassica during insect feeding, thereby revealing the plant–insect interaction in Brassica plants. The results showed that the content of GSLs began to significantly increase after 48 h of herbivory by S. exigua, with sinigrin as the main component. Transcriptome analysis showed that a total of 8940 DEGs were identified in mustard challenged with beet armyworm larvae. The functional enrichment results revealed that the pathways related to the biosynthesis of glucosinolate and jasmonic acid were significantly enriched by upregulated DEGs, suggesting that mustard might provide a defense against herbivory by inducing JA biosynthesis and then promoting GSL accumulation. Surprisingly, genes regulating JA catabolism and inactivation were also activated, and both JA signaling repressors (JAZs and JAMs) and activators (MYCs and NACs) were upregulated during herbivory. Taken together, our results indicate that the accumulation of GSLs regulated by JA signaling, and the regulation of active and inactive JA compound conversion, as well as the activation of JA signaling repressors and activators, collectively control the anti-insect defense response and avoid over-stunted growth in mustard during insect feeding. Full article
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18 pages, 4769 KiB  
Article
Phase Characteristics and Angle Deception of Frequency-Diversity-Array-Transmitted Signals Based on Time Index within Pulse
by Changlin Zhou, Chunyang Wang, Jian Gong, Ming Tan, Lei Bao and Mingjie Liu
Remote Sens. 2023, 15(21), 5171; https://doi.org/10.3390/rs15215171 - 30 Oct 2023
Cited by 2 | Viewed by 1575
Abstract
The transmitted beam of frequency diversity array (FDA) has the range–angle–time coupling property, which has essential applicative potential in angle deception and active anti-jamming. In this paper, the concept of time index within pulse is introduced. Firstly, the phase characteristics of FDA-transmitted signals [...] Read more.
The transmitted beam of frequency diversity array (FDA) has the range–angle–time coupling property, which has essential applicative potential in angle deception and active anti-jamming. In this paper, the concept of time index within pulse is introduced. Firstly, the phase characteristics of FDA-transmitted signals based on the time index within pulse concept are studied. Then, the deceptive angle performance of FDA-transmitted signals is discussed. The theoretical analysis and simulation results show that the phase characteristics of the FDA signal are not related to the range, but to the time index within pulse. With the phase center as the reference point, the phase is equal as long as the time index within the pulse is the same. Angle deception and active anti-jamming can be achieved using the optimized frequency increment of each FDA. Full article
(This article belongs to the Special Issue Theory and Applications of MIMO Radar)
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24 pages, 3207 KiB  
Article
Impacts of Solid-State Fermented Barley with Fibrolytic Exogenous Enzymes on Feed Utilization, and Antioxidant Status of Broiler Chickens
by Doaa Ibrahim, Hassainen I. El-sayed, Elsabbagh R. Mahmoud, Ghada I. Abd El-Rahman, Shefaa M. Bazeed, Abdelwahab A. Abdelwarith, Aya Elgamal, Samah S. Khalil, Elsayed M. Younis, Asmaa T. Y. Kishawy, Simon J. Davies and Abdallah E. Metwally
Vet. Sci. 2023, 10(10), 594; https://doi.org/10.3390/vetsci10100594 - 27 Sep 2023
Cited by 13 | Viewed by 2934
Abstract
The present and future high demand of common cereals as corn and wheat encourage the development of feed processing technology that allows for the dietary inclusion of other cereals of low nutritional value in poultry feeding. Barley grains contain anti-nutritional factors that limit [...] Read more.
The present and future high demand of common cereals as corn and wheat encourage the development of feed processing technology that allows for the dietary inclusion of other cereals of low nutritional value in poultry feeding. Barley grains contain anti-nutritional factors that limit their dietary inclusion in the poultry industry. The treatment of barley with solid-state fermentation and exogenous enzymes (FBEs) provides a good alternative to common cereals. In this study, barley grains were subjected to solid-state microbial fermentation using Lactobacillus plantarum, Bacillus subtilis and exogenous fibrolytic enzymes. This study aimed to assess the impact of FBEs on growth, feed utilization efficiency, immune modulation, antioxidant status and the expression of intestinal barrier and nutrient transporter-related genes. One-day-old broiler chicks (Ross 308, n = 400) comprised four representative groups with ten replicates (10 chicks/replicate) and were fed corn-soybean meal basal diets with inclusions of FBEs at 0, 5, 10 and 15% for 38 days. Solid-state fermentation of barley grains with fibrolytic enzymes increased protein content, lowered crude fiber and reduced sugars compared to non-fermented barley gains. In consequence, the group fed FBEs10% had the superior feed utilization efficiency and body weight gain (increased by 4.7%) with higher levels of nutrient metabolizability, pancreatic digestive enzyme activities and low digesta viscosity. Notably, the group fed FBEs10% showed an increased villi height and a decreased crypt depth with a remarkable hyperactivity of duodenal glands. In addition, higher inclusion levels of FBEs boosted serum immune-related parameters and intestinal and breast muscle antioxidants status. Intestinal nutrient transporters encoding genes (GLUT-1, CAAT-1, LAT1 and PepT-1) and intestinal barriers encoding genes (MUC-2, JAM-2, occludin, claudins-1 and β-defensin 1) were upregulated with higher dietary FBEs levels. In conclusion, feeding on FBEs10% positively enhanced broiler chickens’ performance, feed efficiency and antioxidant status, and boosted intestinal barrier nutrient transporters encoding genes. Full article
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