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Integrated multi-omics dissects receptor-mediated phytomelatonin signaling
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作者 Ying Liu Shirui Jing +5 位作者 Yuhao Zheng Qiuyu He Chengcheng Shen Junxin Guo Yangdong Guo Na Zhang 《Horticultural Plant Journal》 2026年第2期485-488,共4页
Phytomelatonin,an emerging plant hormone,plays vital roles in plant growth,development,and stress adaptation(Arnao et al.,2022;Ullah et al.,2024).It acts both as a direct antioxidant and a signaling molecule,engaging ... Phytomelatonin,an emerging plant hormone,plays vital roles in plant growth,development,and stress adaptation(Arnao et al.,2022;Ullah et al.,2024).It acts both as a direct antioxidant and a signaling molecule,engaging complex networks and interacting with other phytohormones(Liu et al.,2022;Khan et al.,2023).Although phytomelatonin receptors(PMTRs)have been identified in many plants(Wei et al.,2018;Wang et al.,2022;Liu et al.,2025),the downstream signaling mechanisms,particularly receptor-mediated protein modifications and transcriptional regulation,remain poorly characterized. 展开更多
关键词 phytomelatonin receptors pmtrs transcriptional regulation signaling moleculeengaging complex networks integrated multi omics PHYTOHORMONES protein modifications plant hormoneplays phytomelatonin signaling
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Enhancing Convolution Recurrent Network with Graph Signal Processing:High Suppressive Interference Mitigation
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作者 Guo Pengcheng Yu Miao +1 位作者 Gu Miaomiao Ren Bingyin 《China Communications》 2026年第1期255-272,共18页
In this paper,we propose a novel graph signal processing convolution recurrent network(GSP CRN)for signal enhancement against high suppressive interference(HSI)in wireless communications.GSPCRN consists of the short-t... In this paper,we propose a novel graph signal processing convolution recurrent network(GSP CRN)for signal enhancement against high suppressive interference(HSI)in wireless communications.GSPCRN consists of the short-time graph signal processing(SGSP)approach and a modified convolution recurrent network.Similar to the traditional shorttime time-frequency transformation,SGSP frames the complex-valued communication signal and transforms it to the graph-domain representations,where the connection and weight flexibility of each vertex are fully taken into account.In the presence of HSI,SGSP can extract signal features from new graph-domain dimensions and empower neural networks for weak signal enhancement.Two SGSP methods,adjacency singular value decomposition and implicit graph transformation,are designed to capture relationships among the sampling points in the segmented signals.Simulation results demonstrate that our proposed GSPCRN outperforms existing classic methods in extracting weak signals from the HSI environment.When the interference-to-signal ratio exceeds 27dB,only our proposed GSPCRN can achieve the interference mitigation. 展开更多
关键词 adjacency matrix short-time graph signal processing signal enhancement wireless communications
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Kaempferol protects against dexamethasone-induced muscle atrophy in mice by increasing PI3K/AKT/mTOR and NRF2/HO-1/KEAP1 signaling pathways:network pharmacology,molecular docking,and experimental validation studies
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作者 Ming Zhang Guofei Chang +6 位作者 Shouzheng Gao Jiuying Wei Minmin Chen Ling Song Juan Lu Jun Sheng Xiao Ma 《Food Science and Human Wellness》 2026年第2期851-868,共18页
Muscle atrophy can be induced by high doses or prolonged use of glucocorticoids.Kaempferol(Kae)is a naturally occurring flavonoid with a variety of biological activities and the effect of Kae on dexamethasone(Dex)indu... Muscle atrophy can be induced by high doses or prolonged use of glucocorticoids.Kaempferol(Kae)is a naturally occurring flavonoid with a variety of biological activities and the effect of Kae on dexamethasone(Dex)induced muscle atrophy in animals has not been elucidated.To explore this issue,the present experiments used a computationally assisted drug design scheme combining network pharmacology,molecular docking and in vivo experiments to investigate the mechanism of Kae against muscle atrophy.Network pharmacological analyses revealed 275 potential targets for Kae and 12294 potential targets for muscle atrophy,with a total of 228 crosstargets for Kae and muscle atrophy.GO and KEGG analyses were performed based on the protein-protein interaction(PPI)network of muscle atrophy and Kae component targets.The GO results showed that the biological processes were mainly related to the metabolic process of reactive oxygen species,and the response to oxidative stress;the cellular components were mainly focused on membrane microdomains,and membrane regions;the molecular functions mainly worked on phosphatase binding;and the KEGG pathway enrichment analyses identified the pathways of interaction between Kae and muscle atrophy.Finally,as verified by in vivo experiments,Kae may reduce the onset of muscle atrophy by activating the PI3K/AKT/m TOR/signalling pathway,inhibiting Foxo1/Foxo3 activity,and inhibiting downstream production of the ubiquitination 3 ligases Atrogin1 and Mu RF1;Kae also promotes the expression of NRF2/HO-1/KEAP1 signalling pathway,enhances muscle antioxidant capacity,inhibits the release of COX-2 and TNF-αinflammatory factors,and reduces the damage caused by oxidative stress and inflammatory factors to muscles.Therefore,there may be a synergistic effect of PI3K/AKT/m TOR and NRF2/HO-1/KEAP1 in Kae working together to prevent muscle atrophy.The binding energy and stability of Kae to potential targets were examined by molecular docking and molecular dynamics simulations,implying that Kae could be used for the prevention and treatment of muscle atrophy in patients. 展开更多
关键词 KAEMPFEROL DEXAMETHASONE Muscle atrophy PI3K/AKT/mTOR signaling pathway NRF2/HO-1/KEAP1 signaling pathway
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A CNN-Transformer Hybrid Model for Real-Time Recognition of Affective Tactile Biosignals
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作者 Chang Xu Xianbo Yin +1 位作者 Zhiyong Zhou Bomin Liu 《Computers, Materials & Continua》 2026年第4期2343-2356,共14页
This study presents a hybrid CNN-Transformer model for real-time recognition of affective tactile biosignals.The proposed framework combines convolutional neural networks(CNNs)to extract spatial and local temporal fea... This study presents a hybrid CNN-Transformer model for real-time recognition of affective tactile biosignals.The proposed framework combines convolutional neural networks(CNNs)to extract spatial and local temporal features with the Transformer encoder that captures long-range dependencies in time-series data through multi-head attention.Model performance was evaluated on two widely used tactile biosignal datasets,HAART and CoST,which contain diverse affective touch gestures recorded from pressure sensor arrays.TheCNN-Transformer model achieved recognition rates of 93.33%on HAART and 80.89%on CoST,outperforming existing methods on both benchmarks.By incorporating temporal windowing,the model enables instantaneous prediction,improving generalization across gestures of varying duration.These results highlight the effectiveness of deep learning for tactile biosignal processing and demonstrate the potential of theCNN-Transformer approach for future applications in wearable sensors,affective computing,and biomedical monitoring. 展开更多
关键词 Tactile biosignals affective touch recognition wearable sensors signal processing human-machine interaction
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Modeling and Comprehensive Review of Signaling Storms in 3GPP-Based Mobile Broadband Networks:Causes,Solutions,and Countermeasures
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作者 Muhammad Qasim Khan Fazal Malik +1 位作者 Fahad Alturise Noor Rahman 《Computer Modeling in Engineering & Sciences》 SCIE EI 2025年第1期123-153,共31页
Control signaling is mandatory for the operation and management of all types of communication networks,including the Third Generation Partnership Project(3GPP)mobile broadband networks.However,they consume important a... Control signaling is mandatory for the operation and management of all types of communication networks,including the Third Generation Partnership Project(3GPP)mobile broadband networks.However,they consume important and scarce network resources such as bandwidth and processing power.There have been several reports of these control signaling turning into signaling storms halting network operations and causing the respective Telecom companies big financial losses.This paper draws its motivation from such real network disaster incidents attributed to signaling storms.In this paper,we present a thorough survey of the causes,of the signaling storm problems in 3GPP-based mobile broadband networks and discuss in detail their possible solutions and countermeasures.We provide relevant analytical models to help quantify the effect of the potential causes and benefits of their corresponding solutions.Another important contribution of this paper is the comparison of the possible causes and solutions/countermeasures,concerning their effect on several important network aspects such as architecture,additional signaling,fidelity,etc.,in the form of a table.This paper presents an update and an extension of our earlier conference publication.To our knowledge,no similar survey study exists on the subject. 展开更多
关键词 signaling storm problems control signaling load analytical modeling 3GPP networks smart devices diameter signaling mobile broadband data access data traffic mobility management signaling network architecture 5G mobile communication
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Hederagenin Alleviated Ovariectomy-Induced Bone Loss through the Regulation of Innate Immune Signaling in Mice
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作者 Zhitao Yang Huanyu Cheng +11 位作者 Xinli Liu JieLi Xin Ming Beibei Li Luyao Zhang Chunqing Ma Yi Jiao Shenjia Wu Ibrar Muhammad Khan Guanghua Xiong Hongcheng Wang Yong Liu 《BIOCELL》 2026年第1期232-247,共16页
Objectives:Postmenopausal osteoporosis is the most common form of osteoporosis in clinical practice,affecting millions of postmenopausal women worldwide.Postmenopausal osteoporosis demands safe and effective therapies... Objectives:Postmenopausal osteoporosis is the most common form of osteoporosis in clinical practice,affecting millions of postmenopausal women worldwide.Postmenopausal osteoporosis demands safe and effective therapies.This study aimed to evaluate the potential of hederagenin(Hed)for treating osteoporosis and to elucidate its underlying mechanisms of action.Methods:The anti-osteoporotic potential of Hed was assessed by investigating its effects on ovariectomy(OVX)-induced bone loss in mice and on receptor activator of NF-kappaB ligand(RANKL)-induced osteoclast differentiation in RAW264.7 cells.Network pharmacology analysis and molecular docking were employed to identify key targets,which were subsequently validated experimentally.Results:In vitro,Hed suppressed osteoclastogenesis by inhibiting the formation of osteoclasts and F-actin rings and by down-regulating osteoclastspecific genes(Atp6v0d2 and Acp5).In vivo,Hed significantly amelioratedOVX-induced bone loss,restoring trabecular bone volume fraction(BV/TV)and trabecular number(Tb.N),while reducing trabecular separation(Tb.Sp).Network pharmacology analysis identified 142 overlapping targets linking Hed to osteoporosis,including tumor necrosis factor alpha(TNF-α),interleukin-6(IL-6),and IL-1β,with enrichment in innate immune signaling and osteoclast differentiation.Molecular docking analysis indicated strong binding affinities between Hed and targets such as TNF-α,IL-6,and IL-1β.Experimentally,Hed was found to decrease RANKL,elevate osteoprotegerin(OPG),and suppress intestinalmRNA levels of pro-inflammatory cytokines such as IL-1β,IL-6,IL-17A,and TNF-α.Conclusion:Hed exerts significant anti-osteoporotic effects inOVX-induced osteoporosis through a dualmechanism involving the suppression of both osteoclastogenesis and innate immune signaling pathways.These findings highlighted Hed’s novel role in modulating immune-bone crosstalk,offering a promising strategy for treating osteolytic diseases without estrogenic side effects. 展开更多
关键词 HEDERAGENIN OSTEOPOROSIS innate immune signaling OSTEOCLASTOGENESIS network pharmacology
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RAF1 in AgRP neurons involved in the regulation of energy metabolism via the MAPK signaling pathway
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作者 Yuqian Chen Lianci Ren +5 位作者 Xinyi Xu Zhenning Sun Mingxi Dai Yin Li Xiang Ma Juxue Li 《Journal of Biomedical Research》 2026年第1期45-62,共18页
V-raf-leukemia viral oncogene 1(RAF1),a serine/threonine protein kinase,is well established to play a crucial role in tumorigenesis and cell development.However,the specific role of hypothalamic RAF1 in regulating ene... V-raf-leukemia viral oncogene 1(RAF1),a serine/threonine protein kinase,is well established to play a crucial role in tumorigenesis and cell development.However,the specific role of hypothalamic RAF1 in regulating energy metabolism remains unknown.In this study,we found that the expression of RAF1 was significantly increased in hypothalamic AgRP neurons of diet-induced obesity(DIO)mice.Under normal chow diet feeding,overexpression of Raf1 in AgRP neurons led to obesity in mice characterized by increased body weight,fat mass,and impaired glucose tolerance.Conversely,Raf1 knockout in AgRP neurons protected against diet-induced obesity,reducing fat mass and improving glucose tolerance.Mechanistically,Raf1 activated the MAPK signaling pathway,culminating in the phosphorylation of cAMP response element-binding protein(CREB),which enhanced transcription of Agrp and Npy.Insulin stimulation further potentiated the RAF1-MEK1/2-ERK1/2-CREB axis,highlighting RAF1's role in integrating hormonal and nutritional signals to regulate energy balance.Collectively,these findings underscore the important role of RAF1 in AgRP neurons in maintaining energy homeostasis and obesity pathogenesis,positioning it and its downstream pathways as potential therapeutic targets for innovative strategies to combat obesity and related metabolic diseases. 展开更多
关键词 RAF1 AgRP neurons MAPK signaling pathway CREB OBESITY
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Regulation of dendrite and axon growth and arborization by CD40L-reverse signaling:Interrelationships among JNK,PKC,and ERK1/2 signaling pathways
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作者 Paulina Carriba 《Neural Regeneration Research》 2026年第3期1116-1117,共2页
The nervous system function requires a precise but plastic neural architecture.The neuronal shape dictates how neurons interact with each other and with other cells,being the morphology of dendrites and axons the cent... The nervous system function requires a precise but plastic neural architecture.The neuronal shape dictates how neurons interact with each other and with other cells,being the morphology of dendrites and axons the central determinant of the functional properties of neurons and neural circuits.The topological and structural morphology of axons and dendrites defines and determines how synapses are conformed.The morphological diversity of axon and dendrite arborization governs the neuron’s inputs,synaptic integration,neuronal computation,signal transmission,and network circuitry,hence defining the particular connectivity and function of the different brain areas. 展开更多
关键词 CD L dendrite growth dendrite arborization nervous system neural architecturethe reverse signaling PKC JNK
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Phasemeter based on second harmonic signal filter for space-based gravitational wave detection
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作者 Zheng Fan Zhu Li +7 位作者 Xiangqing Huang Yurong Liang Yu Song Maomao Fan Huizong Duan Siyuan Peng Shanqing Yang Liangcheng Tu 《Chinese Physics B》 2026年第1期159-168,共10页
The space gravitational wave detection aims to detect gravitational waves in the mHz band in order to study supermassive black hole mergers,galaxy evolution and the structure of the early universe.One of its core payl... The space gravitational wave detection aims to detect gravitational waves in the mHz band in order to study supermassive black hole mergers,galaxy evolution and the structure of the early universe.One of its core payloads is a transponder-type interstellar laser interferometer,designed to measure relative displacement changes at the pico-meter level.Among its components,phasemeter is tasked with extracting the phase and frequency of the interference signal.Currently,phase-locked loop(PLL)phasemeters are commonly employed.However,the second harmonic signal generated by the mixer can restrict both the dynamic range and phase measurement accuracy of the phasemeter.This paper analyzes the interstellar laser interferometer and the impact of the second harmonic signal on the phasemeter's performance.To address these challenges,a phasemeter incorporating a second harmonic signal filter is proposed.This new design mitigates second harmonic disturbances within the phasemeter's bandwidth by dynamically adjusting the filter's cutoff frequency to track the input signal frequency,thereby suppressing the second harmonic signal in real time.Theoretical and simulation analyses demonstrate that the proposed phasemeter with a second harmonic filter significantly enhances the dynamic range.Finally,experimental results verify that the phasemeter can achieve the tracking of sudden frequency changes up to4.8 MHz. 展开更多
关键词 laser interferometer phasemeter second harmonic signal dynamic range
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Microseismic signal processing and rockburst disaster identification:A multi-task deep learning and machine learning approach
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作者 Chunchi Ma Weihao Xu +3 位作者 Xuefeng Ran Tianbin Li Hang Zhang Dongwei Xing 《Journal of Rock Mechanics and Geotechnical Engineering》 2026年第1期441-456,共16页
Underground engineering projects such as deep tunnel excavation often encounter rockburst disasters accompanied by numerous microseismic events.Rapid interpretation of microseismic signals is crucial for the timely id... Underground engineering projects such as deep tunnel excavation often encounter rockburst disasters accompanied by numerous microseismic events.Rapid interpretation of microseismic signals is crucial for the timely identification of rockbursts.However,conventional processing encompasses multi-step workflows,including classification,denoising,picking,locating,and computational analysis,coupled with manual intervention,which collectively compromise the reliability of early warnings.To address these challenges,this study innovatively proposes the“microseismic stethoscope"-a multi-task machine learning and deep learning model designed for the automated processing of massive microseismic signals.This model efficiently extracts three key parameters that are necessary for recognizing rockburst disasters:rupture location,microseismic energy,and moment magnitude.Specifically,the model extracts raw waveform features from three dedicated sub-networks:a classifier for source zone classification,and two regressors for microseismic energy and moment magnitude estimation.This model demonstrates superior efficiency compared to traditional processing and semi-automated processing,reducing per-event processing time from 0.71 s to 0.49 s to merely 0.036 s.It concurrently achieves 98%accuracy in source zone classification,with microseismic energy and moment magnitude estimation errors of 0.13 and 0.05,respectively.This model has been well applied and validated in the Daxiagu Tunnel case in Sichuan,China.The application results indicate that the model is as accurate as traditional methods in determining source parameters,and thus can be used to identify potential geomechanical processes of rockburst disasters.By enhancing the signal processing reliability of microseismic events,the proposed model in this study presents a significant advancement in the identification of rockburst disasters. 展开更多
关键词 Underground engineering Microseismic signal processing Deep learning MULTI-TASK Rockburst identification
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Estimated carrying capacity based on different signal types for Vietnam's high-speed railway plan
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作者 Thai Nguyen Hong Le Xuan Dong Doan Van 《High-Speed Railway》 2026年第1期41-47,共7页
Research on high-speed railways is a relatively new yet highly significant field in Vietnam.Among its key components,train control signaling plays a critical role,as it directly affects various interconnected systems,... Research on high-speed railways is a relatively new yet highly significant field in Vietnam.Among its key components,train control signaling plays a critical role,as it directly affects various interconnected systems,including infrastructure,traction power supply,operational planning,and overall railway safety.This article focuses on evaluating the capacity of the line based on the types of signals suitable for high-speed railways that have been effectively implemented in several European countries and successfully adapted in China.The research and simulation are conducted using MATLAB software,a reliable and widely adopted tool in the scientific community.The findings demonstrate that under normal conditions,the European Railway Traffic Management System/European Train Control System(ERTMS/ETCS)Level 2 signaling can support up to 23.7485 trains/hour/direction.Meanwhile,ERTMS/ETCS Level 3 with full moving block can accommodate up to 30.8735 trains/hour/direction,and ERTMS/ETCS Level 3 with fixed virtual blocks up to 29.4694 trains/hour/direction.In emergency scenarios,ERTMS/ETCS Level 3 with full moving block reduces headway by 33.27%compared to CTCS Level 3,while ERTMS/ETCS Level 3 with fixed virtual blocks achieves a 28.78%reduction.Overall,the ERTMS/ETCS Level 3 emerges as a state-of-the-art signaling technology offering high capacity and operational efficiency,and is recommended as a forward-looking solution for future implementation in Vietnam. 展开更多
关键词 HEADWAY Line capacity High-speed railway signal control ERTMS/ETCS
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Multi-affinity clustering analysis based graph learning for multichannel signal utilization
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作者 WANG Zhicheng JIANG Huiming +2 位作者 XU Hui SUN Gao SHENG Jialian 《Journal of Systems Engineering and Electronics》 2026年第1期171-183,共13页
Multichannel signals have the characteristics of information diversity and information consistency.To better explore and utilize the affinity relationship within multichannel signals,a new graph learning technique bas... Multichannel signals have the characteristics of information diversity and information consistency.To better explore and utilize the affinity relationship within multichannel signals,a new graph learning technique based on low rank tensor approximation is proposed for multichannel monitoring signal processing and utilization.Firstly,the affinity relationship of multichannel signals can be acquired based on the clustering results of each channel signal.Wherein an affinity tensor is constructed to integrate the diverse and consistent information of the clustering information among multichannel signals.Secondly,a low-rank tensor optimization model is built and the joint affinity matrix is optimized with the assistance of the strong confidence affinity matrix.Through solving the optimization model,the fused affinity relationship graph of multichannel signals can be obtained.Finally,the multichannel fused clustering results can be acquired though the updated joint affinity relationship graph.The multichannel signal utilization examples in health state assessment with public datasets and microwave detection with actual echoes verify the advantages and effectiveness of the proposed method. 展开更多
关键词 clustering analysis multichannel signals health state assessment target recognition
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Peanut skin procyanidins regulate insulin signaling and hepatic metabolism in diabetic mice
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作者 Min Liu Huifang Zhang +5 位作者 Tingting Ju Benjamin P.Willing Wanbing Chen Jun Liu Qun Lu Rui Liu 《Food Science and Human Wellness》 2026年第2期879-891,共13页
Diabetes is accompanied by oxidative damage,inflammation,and disorder of metabolic profiles.Dietary procyanidins have been reported to alleviate symptoms of diabetes,however,the underlying mechanism through which proc... Diabetes is accompanied by oxidative damage,inflammation,and disorder of metabolic profiles.Dietary procyanidins have been reported to alleviate symptoms of diabetes,however,the underlying mechanism through which procyanidins impact liver metabolic function remains unclear.Here,the effects of p eanut skin procyanidins(PSP)on oxidative stress,inflammatory injury,and dysregulated metabolism in the liver of diabetic mice were evaluated.The results showed that PSP r educed the accumulation of cholesterol and alleviated oxidative stress and inflammatory response in the liver.Moreover,PSP enhanced i nsulin signaling by increasing hepatic protein expression of insulin receptor substrate 1/phosphatidylinositol-3-kinase/protein kinase B.Untargeted metabolomics revealed that PSP altered bile acid biosynthesis,alpha linolenic acid and linoleic acid,arachidonic acid,and glycolipid metabolism in the liver.This study reveals positive effects of PSP in alleviating liver dysfunction in diabetic mice. 展开更多
关键词 Peanut skin procyanidins Insulin signaling Infl ammatory response Hepatic metabolism
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Data Processing Solutions on Low Signal-to-noise Data in Loess Plateau Area:A Case Study in Ordos Basin,China
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作者 GAO Rongtao CHENG Yun +1 位作者 TANG Ziqi LIU Zhao 《CT理论与应用研究(中英文)》 2026年第1期154-162,共9页
While the Ordos Basin is recognized for its substantial hydrocarbon exploration prospects,its rugged loess tableland terrain has rendered seismic exploration exceptionally challenging[1-3].Persistent obstacles such as... While the Ordos Basin is recognized for its substantial hydrocarbon exploration prospects,its rugged loess tableland terrain has rendered seismic exploration exceptionally challenging[1-3].Persistent obstacles such as complex 3D survey planning,low signal-tonoise ratio raw data,inadequate near-surface velocity modeling,and imaging inaccuracy have long hindered the advancement of seismic exploration across this region.Through a problem-solving approach rooted in geological target analysis,this research systematically investigates the behavioral patterns of nodal seismometer-based high-density seismic acquisition in loess plateau.Tailored advancements in waveform enhancement and depth velocity modelling methodologies have been engineered.Field validations confirm that the optimized workflow demonstrates marked improvements in amplitude preservation and imaging resolution,offering novel insights for future reservoir characterization endeavors. 展开更多
关键词 loess plateau ACQUISITION low signal to noise ratio data processing depth modeling
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Lithospermic Acid Promotes Osteoblast Proliferation and Differentiation through the Wnt/β-Catenin Signaling Pathway
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作者 Jianfeng Wang Zhongqing Hu +5 位作者 Jiandong Guo Xin Jin Lei Cai Jian Li Jinxi Zhang Dongan He 《BIOCELL》 2026年第2期128-147,共20页
Objectives Therapeutic strategies for enhancing bone regeneration and combating osteoporosis remain a significant unmet medical need.This study aims to elucidate Lithospermic acid(LA)’s regulatory effects on osteobla... Objectives Therapeutic strategies for enhancing bone regeneration and combating osteoporosis remain a significant unmet medical need.This study aims to elucidate Lithospermic acid(LA)’s regulatory effects on osteoblast proliferation and differentiation,investigating its viability as a bone-healing agent.Methods This study employed various cellular and molecular biology experiments to assess the effects of LA on the viability,proliferation,cell cycle,apoptosis,differentiation,mineralization,and migration of MC3T3-E1 osteoblasts.Immunofluorescence and Western blot analyses were conducted to detect the expression of proteins related to the Wnt/β-catenin signaling pathway,investigating the regulatory mechanisms by which LA promotes osteoblast proliferation and differentiation.Additionally,Wnt inhibitor dickkopf-1(DKK-1)andβ-catenin-silenced cell models were used to further validate the role of LA in modulating this signaling pathway.Results LA significantly promoted osteoblast proliferation without apparent cytotoxicity.Flow cytometry showed that LA regulated the cell cycle by reducing G0/G1 phase arrest and promoting G2/M phase progression.Western blot results indicated that LA upregulated the expression of proteins associated with cell proliferation and enhanced osteoblast differentiation and mineralization.Immunofluorescence and Western blot analyses further confirmed that LA markedly increased the expression of Wnt andβ-catenin,facilitatingβ-catenin nuclear translocation.Treatment with the DKK-1 inhibitor significantly diminished the proliferative and differentiation-promoting effects of LA,confirming the critical role of this pathway.β-catenin knockdown experiments further substantiated its central role in LA-mediated regulation.Conclusion This study confirms that LA promotes osteoblast proliferation,differentiation,mineralization,and migration by activating the Wnt/β-catenin signaling pathway. 展开更多
关键词 Lithospermic acid OSTEOBLASTS cell proliferation cell differentiation Wnt/β-catenin signaling pathway
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Adaptations in mitochondrial quality control and interactions with innate immune signaling within skeletal muscle:A narrative review
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作者 Priyanka Khemraj Anastasiya Kuznyetsova David A.Hood 《Journal of Sport and Health Science》 2026年第1期27-39,共13页
Skeletal muscle health and function are essential determinants of metabolic health,physical performance,and overall quality of life.The quality of skeletal muscle is heavily dependent on the complex mitochondrial reti... Skeletal muscle health and function are essential determinants of metabolic health,physical performance,and overall quality of life.The quality of skeletal muscle is heavily dependent on the complex mitochondrial reticulum that contributes toward its unique adaptability.It is now recognized that mitochondrial perturbations can activate various innate immune pathways,such as the nucleotide-binding oligomerization domain(NOD)-like receptor protein 3(NLRP3)inflammasome complex by propagating inflammatory signaling in response to damage-associated molecular patterns(DAMPs).The NLRP3 inflammasome is a multimeric protein complex and is a prominent regulator of innate immunity and cell death by mediating the activation of caspase-1,pro-inflammatory cytokines interleukin-1βand interleukin-18 and pro-pyroptotic protein gasdermin-D.While several studies have begun to demonstrate the relationship between various mitochondrial DAMPs(mtDAMPs)and NLRP3 inflammasome activation,the influence of various metabolic states on the production of these DAMPs and subsequent inflammatory profile remains poorly understood.This narrative review aimed to address this by highlighting the effects of skeletal muscle use and disuse on mitochondrial quality mechanisms including mitochondrial biogenesis,fusion,fission and mitophagy.Secondly,this review summarized the impact of alterations in mitochondrial quality control mechanisms following muscle denervation,aging,and exercise training in relation to NLRP3 inflammasome activation.By consolidating the current body of literature,this work aimed to further the understanding of innate immune signaling within skeletal muscle,which can highlight areas for future research and therapeutic strategies to regulate NLRP3 inflammasome activation during divergent metabolic conditions. 展开更多
关键词 Mitochondrial quality control Innate immune signaling NLRP3 inflammasome Exercise Skeletal muscle disuse
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Fire needling improves autophagy and oxidative stress in rats with cervical spondylosis of vertebral artery type by regulating PI3K/Akt/mTOR signaling pathway
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作者 PENG Yasha JIN Jingguo HU Hao 《Journal of Acupuncture and Tuina Science》 2026年第1期14-23,共10页
Objective:To investigate the mechanism of fire needling in improving autophagy and oxidative stress in rats with cervical spondylosis of vertebral artery type(CSA)by regulating protein kinase B(PKB/Akt)/mammalian targ... Objective:To investigate the mechanism of fire needling in improving autophagy and oxidative stress in rats with cervical spondylosis of vertebral artery type(CSA)by regulating protein kinase B(PKB/Akt)/mammalian target of rapamycin(mTOR)signaling pathway.Methods:The rats were randomly divided into a sham-operation group(Sham group)and a model group.After successful modeling,the rats were randomly divided into a CSA group,a fire needling group,and a fire needling+insulin-like growth factor 1(IGF-1)group.No intervention was performed in the Sham and CSA groups;the fire needling group received fire needling intervention;the fire needling+IGF-1 group received both fire needling and intraperitoneal injection of IGF-1 solution intervention.The inclined plate test was used to detect the exercise ability of rats.Laser Doppler was used to detect the blood flow in the pia mater microcirculation.Multi-mode high-frequency acoustic was used to detect the blood flow velocity of both sides of the vertebral artery.The serum levels of endothelin-1(ET-1),nitric oxide(NO),superoxide dismutase(SOD),and malondialdehyde(MDA)were measured.A transmission electron microscope was used to observe vertebral artery autophagosomes.Western blotting was used to detect the ratios of phosphorylated(phospho)-phosphoinositide 3-kinase(PI3K)/PI3K,phospho-Akt/Akt,phospho-mTOR/mTOR,autophagy-related proteins(Beclin-1 and p62),and the ratios of microtubule-associated protein 1A/1B light chain 3(LC3Ⅱ/LC3Ⅰ)in vertebral artery tissues.Results:Compared to the Sham group,the inclination angle of the inclined plate,pia mater microcirculation blood flow,blood flow velocity of the left vertebral artery(LVA),right vertebral artery(RVA),NO level,and SOD activity were significantly decreased(P<0.05),and the serum ET-1 and MDA levels were significantly increased(P<0.05)in the CSA group.Compared to the CSA group,the inclination angle of the inclined plate,blood flow of pia mater microcirculation,blood flow velocity of the LVA and RVA,NO level,and SOD activity were significantly increased(P<0.05),and the serum ET-1 and MDA levels were significantly decreased(P<0.05)in the fire needling group.The inclination angle of the inclined plate,blood flow of pia mater microcirculation,blood flow velocity of the LVA and RVA,NO level,and SOD activity in the fire needling+IGF-1 group were significantly lower than those in the fire needling group(P<0.05),and the serum ET-1 and MDA levels were higher than those in the fire needling group(P<0.05).Compared to the Sham group,a large number of autophagosomes and autophagy degradation vesicles were found in the vertebral artery tissues of the CSA group.Compared to the CSA group,autophagosomes and autophagy degradation vesicles in rat vertebral artery tissues of the fire needling group were significantly reduced.Compared to the fire needling group,the autophagosomes and autophagy degradation vesicles in the vertebral artery tissues of the fire needling+IGF-1 group were increased significantly.The expression ratios of phospho-PI3K/PI3K,phospho-Akt/Akt,phospho-mTOR/mTOR,LC3Ⅱ/LC3Ⅰ,and Beclin protein expression in rat vertebral artery tissues of the CSA group were higher than those in the Sham group(P<0.05),and p62 protein expression was lower than that in the Sham group(P<0.05).The above expression ratios in rat vertebral artery tissues of the fire needling group were lower than those of the CSA group(P<0.05),and p62 protein expression was higher than that of the CSA group(P<0.05).The above protein expression ratios in rat vertebral artery tissues of the fire needling+IGF-1 group were higher than those of the fire needling group(P<0.05),and p62 protein expression was lower than that of the fire needling group(P<0.05).Conclusion:Fire needling can reduce oxidative stress levels by promoting autophagy in CSA rats.The mechanism may be related to the inhibition of PI3K/Akt/mTOR signaling pathway activation. 展开更多
关键词 Acupuncture Therapy Fire Needling Therapy Cervical Spondylosis Akt/mTOR signaling Pathway AUTOPHAGY Oxidative Stress Rats
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Block-Wise Sliding Recursive Wavelet Transform and Its Application in Real-Time Vehicle-Induced Signal Separation
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作者 Jie Li Nan An Youliang Ding 《Structural Durability & Health Monitoring》 2026年第1期1-22,共22页
Vehicle-induced response separation is a crucial issue in structural health monitoring(SHM).This paper proposes a block-wise sliding recursive wavelet transform algorithm to meet the real-time processing requirements ... Vehicle-induced response separation is a crucial issue in structural health monitoring(SHM).This paper proposes a block-wise sliding recursive wavelet transform algorithm to meet the real-time processing requirements of monitoring data.To extend the separation target from a fixed dataset to a continuously updating data stream,a block-wise sliding framework is first developed.This framework is further optimized considering the characteristics of real-time data streams,and its advantage in computational efficiency is theoretically demonstrated.During the decomposition and reconstruction processes,information from neighboring data blocks is fully utilized to reduce algorithmic complexity.In addition,a delay-setting strategy is introduced for each processing window to mitigate boundary effects,thereby balancing accuracy and efficiency.Simulated signal experiments are conducted to determine the optimal delay configuration and to verify the algorithm’s superior performance,achieving a lower Root Mean Square Error(RMSE)and only 0.0249 times the average computational time compared with the original algorithm.Furthermore,strain signals from the Lieshi River Bridge are employed to validate the method.The proposed algorithm successfully separates the static trend from vehicle-induced responses in real time across different sampling frequencies,demonstrating its effectiveness and applicability in real-time bridge monitoring. 展开更多
关键词 Wavelet transform vehicle-induced signal separation real-time structure monitoring
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Salivary Biomarkers and Their Link to Oncogenic Signaling Pathways in Oral Squamous Cell Carcinoma:Diagnostic and Translational Perspectives in a Narrative Review
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作者 Wen-Shou Tan Hsuan Kuo +6 位作者 Chang-Ge Jiang Mei-Han Lu Yi-He Lu Yung-Li Wang Ching-Shuen Wang Thi Thuy Tien Vo I-Ta Lee 《Oncology Research》 2026年第1期105-120,共16页
This narrative review examines recent advances in salivary biomarkers for oral squamous cell carcinoma(OSCC),a major subtype of oral cancer with persistently low five-year survival rates due to delayed diagnosis.Saliv... This narrative review examines recent advances in salivary biomarkers for oral squamous cell carcinoma(OSCC),a major subtype of oral cancer with persistently low five-year survival rates due to delayed diagnosis.Saliva has emerged as a noninvasive diagnostic medium capable of reflecting both local tumor activity and systemic physiological changes.Various salivary biomarkers,including microRNAs,cytokines,proteins,metabolites,and exosomes,have been linked to oncogenic signaling pathways involved in tumor progression,immune modulation,and therapeutic resistance.Advances in quantitative polymerase chain reaction,mass spectrometry,and next-generation sequencing have enabled comprehensive biomarker profiling,while point-of-care detection systems and saliva-based omics platforms are accelerating clinical translation.Remaining challenges include variability in salivary composition,lack of standardized collection protocols,and insufficient validation across large patient cohorts.This review highlights the mechanistic relevance,diagnostic potential,and translational challenges of salivary biomarkers in OSCC. 展开更多
关键词 Oral squamous cell carcinoma(OSCC) salivary biomarkers signaling pathways non-invasive diagnostics narrative review
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