A temperature-insensitive micro-displacement sensor based on a spindle-shaped single mode fiber(SMF)is presented and demonstrated.The SMF is bent into a balloon-shaped SMF and burned into a spindle-shaped SMF by a fla...A temperature-insensitive micro-displacement sensor based on a spindle-shaped single mode fiber(SMF)is presented and demonstrated.The SMF is bent into a balloon-shaped SMF and burned into a spindle-shaped SMF by a flame.Due to the bending of the fiber,part of the incident light leaks from the fiber core into the fiber cladding,which excites higher order cladding modes.Therefore,modal interference occurs.The experimental results show that the maximum sensitivity of the sensors is−203 pm/µm when micro-displacement varies from 0 to 80µm.The sensors are insensitive to temperature in the range of 20–70°C.In addition,the sensors have the advantages of simple structure,low cost,small volume,high sensitivity and stability,which can be widely used in numerous high-precision industrial measurements and civil engineering structure monitoring fields.展开更多
Grain-size sensitive component separation(GSCS)methods are pivotal for paleoenvironmental reconstruction but remain underexplored in tectonically active deep-sea seamount settings like the central South China Sea(SCS)...Grain-size sensitive component separation(GSCS)methods are pivotal for paleoenvironmental reconstruction but remain underexplored in tectonically active deep-sea seamount settings like the central South China Sea(SCS).This study presents the first systematic comparison of three GSCS techniques,namely standard deviation(STD),endmember modeling(EMM),and principal component analysis(PCA).These methods are applied specifically to sediment core GT-06 recovered from the Zhongnan Seamount in the central South China Sea.By integrating grain-size unmixing with complementary proxies,including magnetic susceptibility(MS)and loss on ignition(LOI),we assess the resolving power of each method and relate the resulting components to site-specific sedimentary processes(e.g.,summer monsoon,volcanic activity,seamount collapse-induced turbidity currents).Key results show that all methods identified three dominant grain-size ranges(clay,silt-sand,coarse sand)with robust inter-method correlations.Critically,EMM and PCA uniquely resolved a volcanic-derived silt component(EM2)that was undetectable using the STD method,highlighting a key limitation of STD in complex settings.Four geologically meaningful end-members were identified:(1)fine-grained terrigenous clay linked to the East Asian summer monsoon(EASM),(2)volcanic detritus reflecting Quaternary submarine eruptions,(3)siliceous biogenic debris indicative of monsoon-modulated productivity,and(4)coarse calcareous fragments associated with seamount collapse-induced turbidity currents.The results highlight the superior ability of EMM/PCA to resolve complex signals,whereas STD serves as an efficient yet limited tool for first-order screening.Together,these methods form a site-adapted framework for tectonically active deep-sea seamounts:EMM/PCA enabling fine-scale interpretation of monsoon-volcanic-turbidity interactions,and STD supports rapid large-dataset comparison.This workflow improves the reliability of paleoenvironmental reconstructions in mixed-signal settings like the Zhongnan Seamount.展开更多
Introduction Prostate cancer(PCa)remains one of the most commonly diagnosed malignancies and a leading cause of cancer-related death among males worldwide.For patients with metastatic disease,treatment strategies are ...Introduction Prostate cancer(PCa)remains one of the most commonly diagnosed malignancies and a leading cause of cancer-related death among males worldwide.For patients with metastatic disease,treatment strategies are largely determined by disease state,including metastatic hormone-sensitive prostate cancer(mHSPC)and metastatic castration-resistant prostate cancer(mCRPC),which represent sequential stages of tumor evolution.展开更多
To overcome the limitations of traditional single-crystal X-ray diffraction(SCXRD)for microcrystalline materials and the peak-overlapping issue of powder X-ray diffraction(PXRD),this study employed cryogenic continuou...To overcome the limitations of traditional single-crystal X-ray diffraction(SCXRD)for microcrystalline materials and the peak-overlapping issue of powder X-ray diffraction(PXRD),this study employed cryogenic continuous rotation electron diffraction(cryo-cRED)with a low-dose strategy to determine the crystal structure of CL30,a novel silicogermanate framework.It is confirmed that CL30 crystallizes in the C2/m space group and has layered topology composed of discontinuous zigzag chains connected by double four-membered ring(d4r)units,with fluoride anions(F-)occluded in the d4r units.In CL30,charge balance involves organic structure-directing agent(OSDA)cations,occluded F-,and terminal oxygen sites whose protonation state cannot be established from the present three dimensional(3D)ED data.F-encapsulated in the d4r units contributes to charge compensation as the counter-anion to OSDA cations,rather than only balancing the framework charge.Although the refinement indices(R1=0.29,wR2=0.71)exceeded typical small-molecule crystallography standards,the structural model remained highly reliable,as supported by geometric restraints and validation.In electron diffraction,elevated R1 values are commonly attributed to the intrinsic factors of the technique,such as dynamic scattering,detector noise from scintillator-based detectors,and TEM stage instability(large spheres of confusion).This study introduces a new structural prototype to the silicogermanate family and establishes a feasible workflow for determining the structures of radiation-sensitive microcrystalline porous materials.展开更多
The Industrial Internet of Things(IIoT)has revolutionized conventional manufacturing industries by improving control,monitoring,and management,resulting in increased agility and long-term sustainability.The demand for...The Industrial Internet of Things(IIoT)has revolutionized conventional manufacturing industries by improving control,monitoring,and management,resulting in increased agility and long-term sustainability.The demand for processing and storage resources increases as the number of IoT devices and the data they generate increases.Cloud computing often serves these needs,but in certain scenarios,real-time data processing near the source is necessary to guarantee low latency,minimize bandwidth usage,and enhance data security.This work proposes a novel edge computing-based IIoT architecture for delay-sensitive monitoring and control in manufacturing industries.In contrast to previous work,this work is designed to enhance system performance by ensuring the availability of edge nodes and distributing task execution loads evenly across multiple edge computing nodes.The proposed architecture is further optimized for efficient allocation of resources and scheduling of tasks by the addition of a task scheduling algorithm by using Round Trip Time(RTT)and Resource Logger(RL).In an effort to optimize the response time of both the complete system and individual Device Nodes(DN),the work also considers the deployment of heterogeneous Edge Nodes(EN).The evaluation results show that the proposed architecture reduces the communication delay and overhead by 88.28% compared to the traditional cloud-based approach and 12.32% compared to the previously proposed methods ATS-FOA and RBEC/PENB,respectively,for executing IIoT applications.The proposed Resource Logger,Round Trip Time-Based Edge Node Selection(RLRTT-ESA),and task scheduling algorithms further improved the total application response time by 47.25% in comparison to the previously proposed methods ATS-FOA and RBEC/PENB,respectively.展开更多
Aiming at the problem of insufficient recognition of implicit variants by existing Chinese sensitive text detection methods,this paper proposes the IPKE-MoE framework,which consists of three parts,namely,a sensitive w...Aiming at the problem of insufficient recognition of implicit variants by existing Chinese sensitive text detection methods,this paper proposes the IPKE-MoE framework,which consists of three parts,namely,a sensitive word variant extraction framework,a sensitive word variant knowledge enhancement layer and a mixture-of-experts(MoE)classification layer.First,sensitive word variants are precisely extracted through dynamic iterative prompt templates and the context-aware capabilities of Large Language Models(LLMs).Next,the extracted variants are used to construct a knowledge enhancement layer for sensitive word variants based on RoCBert models.Specifically,after locating variants via n-gram algorithms,variant types are mapped to embedding vectors and fused with original word vectors.Finally,a mixture-of-experts(MoE)classification layer is designed(sensitive word,sentiment,and semantic experts),which decouples the relationship between sensitiveword existence and text toxicity throughmultiple experts.This framework effectively combines the comprehension ability of Large Language Models(LLMs)with the discriminative ability of smaller models.Our two experiments demonstrate that the sensitive word variant extraction framework based on dynamically iterated prompt templates outperforms other baseline prompt templates.TheRoCBert models incorporating the sensitive word variant knowledge enhancement layer and a mixture-of-experts(MoE)classification layer achieve superior classification performance compared to other baselines.展开更多
Sensitive skin and skin aging share key features such as barrier damage,chronic inflammation,extracellular matrix(ECM)breakdown,and vascular changes.Recent studies have identified Cellular Communication Network Factor...Sensitive skin and skin aging share key features such as barrier damage,chronic inflammation,extracellular matrix(ECM)breakdown,and vascular changes.Recent studies have identified Cellular Communication Network Factor 1(CCN1)as an important regulator in these processes.In this review,we summarize current understanding of CCN1 expression patterns and signaling mechanisms in skin biology and discuss how its upregulation,which is triggered by ultraviolet radiation,intrinsic aging,or environmental stress,can lead to barrier dysfunction,inflammation,collagen degradation,angiogenesis,cellular senescence,and pigmentation abnormalities.We emphasize that sustained CCN1 accumulation in the ECM perpetuates fibroblast activation and keratinocyte dysfunction,thereby contributing to persistent tissue damage.These findings highlight the critical role of CCN1 in regulating the skin microenvironment and intercellular communication and suggest it as a potential therapeutic target for preventing or treating sensitive skin and skin aging.Future strategies aimed at modulating CCN1 or its downstream pathways may help restore skin homeostasis and improve long-term skin health.展开更多
Leveraging both global contextual dependencies and local temporal-spectral patterns can further enhance speech quality and intelligibility,motivating the integration of diverse neural network structures for improved m...Leveraging both global contextual dependencies and local temporal-spectral patterns can further enhance speech quality and intelligibility,motivating the integration of diverse neural network structures for improved mask estimation.Furthermore,due to the limitations of existing time-frequency phase-aware masks,a new constrained phase-sensitive mask is introduced and estimated using the proposed architectures.In this paper,we first propose a modified transformer model for constrained phasesensitive ideal magnitude ratio mask(cPSIRM)estimation(TRF-cPSIRM)to incorporate both magnitude and phase information and improve speech enhancement quality.The transformer model can extract global information,whereas the convolutional neural network(CNN)and convolutional recurrent network(CRN)are effective in capturing local content.CNNs have feature extraction capability due to their convolutional layers,and CRNs benefit from the temporal modelling strength of LSTM recurrent layers,which is useful for enhancement.Therefore,in this paper,to exploit both transformer(TRF)and CNN/CRN capabilities,we propose the cascaded structures(models)of CNN and TRF layers(CNN-TRF-cPSIRM)and also TRF and CRN layers(TRF-CRN-cPSIRM)for cPSIRM estimation and,consequently,speech enhancement.The CNN is used for feature extraction in CNN-TRF-cPSIRM and CRN for enhancement in TRF-CRN-cPSIRM.Moreover,considering the harmonic property of speech in the frequency spectrum,we present the transposed transformer-based model(TTRF),in which the neighbourhood relationship between the different frequency sub-bands is used as a sequence in the model.Then,to model both the long-term and short-term dependencies,the cascaded model of TTRF(intra-transformer)and TRF(inter-transformer)is proposed for cPSIRM estimation(TTRF-TRF-cPSIRM).The experimental results show that among these transformer-based models,the CNN-TRF-cPSIRM has the best performance,achieving up to about 0.44 perceptual evaluation of speech quality(PESQ)improvement over the baseline and 1.5 over the noisy speech.展开更多
This paper introduces value sensitive design(VSD)and institutional ethics theory,proposes a diagnostic framework of"institutional ethics absence",and differentiates between the two paradigms of"technica...This paper introduces value sensitive design(VSD)and institutional ethics theory,proposes a diagnostic framework of"institutional ethics absence",and differentiates between the two paradigms of"technical ethics embedding"and"institutional ethics reconstruction".The analysis indicates that the prevailing ethical challenges in the intelligent public health governance do not stem from technical limitations.Instead,they reflect an external manifestation of the absence of institutional ethics.Although ethical principles are broadly proclaimed,there is a deficiency in operational mechanisms to transform these principles into institutional regulations,leading to"institutional hollowness"wherein principles exist nominally but lack substantive enforcement.The article elucidates the integration pathway between VSD and institutional ethics:VSD offers a methodological foundation for embedding ethical considerations into design,whereas institutional ethics provides a"meta-institutional"guarantee for the design process.Together,these approaches facilitate the"dual embedding"of ethical requirements at both technological and institutional levels.This paper develops a three-tiered institutional reconstruction pathway centered on the core concepts of"precaution,human subjectivity,and justice".It integrates the frameworks of technical standard setting,organizational ethics review,and legal accountability,thereby offering theoretical support for the ethical legitimacy of intelligent public health governance in the digital era.展开更多
Ecologically sensitive areas face multiple overlapping pressures, and their environmental risks show spatial heterogeneity and dynamic evolution. To address the problems of insufficient risk identification accuracy an...Ecologically sensitive areas face multiple overlapping pressures, and their environmental risks show spatial heterogeneity and dynamic evolution. To address the problems of insufficient risk identification accuracy and low coordination efficiency among governance actors, this study builds a risk identification simulation model based on multi-source indicator fusion, uses spatial analysis methods to define risk levels and distribution patterns, and designs a quantifiable multi-actor collaborative governance framework. Scenario simulations are used to compare and verify governance outcomes. The results show that the fusion model effectively improves the spatial resolution and stability of risk identification, and the collaborative governance framework significantly reduces the rate of risk spread and improves governance response efficiency. This provides a reusable methodological approach for risk control in ecologically sensitive areas.展开更多
Expanding the detection range beyond 1.55μm and introducing the polarization sensitivity of germanium(Ge)photodetectors are essential for advancing near-infrared sensing applications.In this work,a Ge∕SiO2 embedd...Expanding the detection range beyond 1.55μm and introducing the polarization sensitivity of germanium(Ge)photodetectors are essential for advancing near-infrared sensing applications.In this work,a Ge∕SiO2 embedded grating structure(EGS)is integrated at the base of a Ge metal-semiconductor-metal(MSM)photodetector via selective epitaxial growth.Serving a dual purpose,the EGS acts as a hard mask to trap threading dislocations,thus suppressing dark current,while simultaneously inducing strong optical resonance for enhanced absorption and polarization sensitivity.The EGS-integrated photodetector achieves a responsivity of 0.25 A/W at 1.6μm,corresponding to an enhancement factor of 2.8 as compared with the reference device.In addition,the polarization extinction ratio is measured to be 2.9.Both the enhancement factor and extinction ratio are determined to maintain above unity throughout the entire L-band.This architecture provides a CMOS-compatible route to realizing high-performance polarization-sensitive Ge photodetectors with extended operational bandwidth.展开更多
The booming demand for flexible electronics requires piezoelectric sensors that can simultaneously deliver high sensitivity and exceptional stretchability,which has become a significant challenge beyond the capabiliti...The booming demand for flexible electronics requires piezoelectric sensors that can simultaneously deliver high sensitivity and exceptional stretchability,which has become a significant challenge beyond the capabilities of conventional devices.Inspired by the hexagonal mesh structure,we adopted an architecture design to fabricate a continuous,structurally flexible ceramic skeleton,thereby developing a piezoelectric sensor integrating both high sensitivity and superior stretchability.The macroscopic 3D interconnected skeleton ensures efficient stress transfer for enhanced pressure sensitivity,while the hexagonal topology with hierarchical microfibers enables deformation-driven slippage under load to ensure robust stretchability.Consequently,the composite achieves remarkable stretchability(220%strain)and excellent mechanical stability(>50 stretch-compression cycles,hysteresis~8.13%).The fully flexible piezoelectric sensor maintains stable functionality even under 100%tensile strain and exhibits high sensitivity(39.57 mV kPa−1),collectively outperforming conventional piezoelectric sensors.Based on these unique advantages,we demonstrate the sensor’s capability in fine surface roughness discrimination and real-time monitoring of human stretching movements,highlighting its great potential for applications in robotic dexterous manipulation and wearable health monitoring systems.展开更多
A highly sensitive,ultra-low detection limit 3-D DNA nanostructure biosensor based on functionalized reflective optical fiber probe(ROFP)is proposed and demonstrated.Our approach achieves a mass limit of detection of~...A highly sensitive,ultra-low detection limit 3-D DNA nanostructure biosensor based on functionalized reflective optical fiber probe(ROFP)is proposed and demonstrated.Our approach achieves a mass limit of detection of~10 aM based on the ROFP.A particular single-nucleotide mismatch sequence is also identified.The sensitivity of the proposed DNA biosensor is 1.51 nm/lgaM,about three-fold higher than using single-strand DNA probes(0.47 nm/lgaM)and with high specificity.The proposed ROFP has high compactness(with a length of~3 mm)which is convenient for sample detection with small volume and complex gradients in small spaces with high sensitivity.展开更多
Background:This study evaluates the efficacy of gabexate mesylate thermosensitive in-situ gel(GMTI) in the treatment of beagle grade Ⅲ pancreatic trauma(PT) with the assistance of contrast-enhanced ultrasound(CEUS) a...Background:This study evaluates the efficacy of gabexate mesylate thermosensitive in-situ gel(GMTI) in the treatment of beagle grade Ⅲ pancreatic trauma(PT) with the assistance of contrast-enhanced ultrasound(CEUS) and investigates its mechanism of action.Methods:A grade Ⅲ PT model consisting of 15 beagle dogs with severed main pancreatic ducts was created and treated with cephalic vein injection of gabexate mesylate(GM)(1.54mL/10kg,TID) and peripancreatic injection of GMTI(4.63 mL/10 kg,QD) guided by CEUS within 24h post-surgery.Ascites and serum levels of amylase(AMY),lipase(LPS),C-reactive protein(CRP),interleukin(IL)-6,tumor necrosis factor(TNF)-α,and urinary trypsinogen activating peptide(TAP) were detected by ELISA.Histopathological changes in the canine pancreas were observed by Hematoxylin and Eosin staining.Results:CEUS accurately displayed pancreatic lesions and guided catheterisation.Compared to the control group,the ascites was significantly reduced after treatment(p<0.01).AMY and LPS ascites significantly decreased on post-operative 1st and 2nd day(p<0.01).The levels of AMY,LPS,CRP,IL-6,and TNF-α in serum were decreased(p<0.05 or p <0.01).Urinary TAP was decreased 1 and 2 days after treatment(p<0.05or p<0.01,respectively).In the control group,pancreatic tissue necrosis was evident in the wound area.Normal glandular cell structures and fibrous tissue hyperplasia were observed in the wound area after GMTI treatment.The GMTI group performed better than the GM group in improving pancreatic histology and reducing AMY levels in the early post-operative period.Conclusion:Guided by CEUS,daily peripancreatic injections of GMTI in Beagles effectively inhibit pancreatic enzyme activity and aid in the adjuvant treatment of pancreatic trauma.展开更多
Dear Editor,The industrial internet of things(IIoT) integrates communications and controls into a cohesive system within the framework of Industry 5.0,where time delay critically impairs system performance.Especially,...Dear Editor,The industrial internet of things(IIoT) integrates communications and controls into a cohesive system within the framework of Industry 5.0,where time delay critically impairs system performance.Especially,the introduction of wireless networks results in more severe induced delays than wired networks,owing to the greater complexity of factors affecting reliable state updates.展开更多
Polar semiconductors,particularly the emerging polar two-dimensional(2D)halide perovskites,have motivated immense interest in diverse photoelectronic devices due to their distinguishing polarizationgenerated photoelec...Polar semiconductors,particularly the emerging polar two-dimensional(2D)halide perovskites,have motivated immense interest in diverse photoelectronic devices due to their distinguishing polarizationgenerated photoelectric effects.However,the constraints on the organic cation's choice are still subject to limitations of polar 2D halide perovskites due to the size of the inorganic pocket between adjacent corner-sharing octahedra.Herein,a mixed spacer cation ordering strategy is employed to assemble a polar 2D halide perovskite NMAMAPb Br4(NMPB,NMA is N-methylbenzene ammonium,MA is methylammonium)with alternating cation in the interlayer space.Driven by the incorporation of a second MA cation,the perovskite layer transformed from a 2D Pb7Br24anionic network with corner-and face-sharing octahedra to a flat 2D PbBr4perovskite networks only with corner-sharing octahedra.In the crystal structure of NMPB,the asymmetric hydrogen-bonding interactions between ordered mixed-spacer cations and 2D perovskite layers give rise to a second harmonic generation response and a large polarization of 1.3μC/cm2.More intriguingly,the ordered 2D perovskite networks endow NMPB with excellent self-powered polarization-sensitive detection performance,showing a considerable polarization-related dichroism ratio up to 1.87.The reconstruction of an inorganic framework within a crystal through mixed cation ordering offers a new synthetic tool for templating perovskite lattices with controlled properties,overcoming limitations of conventional cation choice.展开更多
In modern complex systems,real-time regression prediction plays a vital role in performance evaluation and risk warning.Nevertheless,existing methods still face challenges in maintaining stability and predictive accur...In modern complex systems,real-time regression prediction plays a vital role in performance evaluation and risk warning.Nevertheless,existing methods still face challenges in maintaining stability and predictive accuracy under complex conditions.To address these limitations,this study proposes an online prediction approach that integrates event tracking sensitivity analysis with machine learning.Specifically,a real-time event tracking sensitivity analysis method is employed to capture and quantify the impact of key events on system outputs.On this basis,a mutualinformation–based self-extraction mechanism is introduced to construct prior weights,which are then incorporated into a LightGBM prediction model.Furthermore,iterative optimization of the feature selection threshold is performed to enhance both stability and accuracy.Experiments on composite microsensor data demonstrate that the proposed method achieves robust and efficient real-time prediction,with potential extension to industrial monitoring and control applications.展开更多
Background:Sensitive skin affects a substantial portion of the global population and has significant implications for skin health and well-being.In addition to unpleasant sensory effects,individuals with sensitive ski...Background:Sensitive skin affects a substantial portion of the global population and has significant implications for skin health and well-being.In addition to unpleasant sensory effects,individuals with sensitive skin were likely to be more susceptible to hyperpigmentation.However,the association between sensitive skin and hyperpigmentation,as well as the underlying molecular mechanisms,remain unclear.Objective:This study aims to investigate the correlation and intrinsic mechanisms between sensitive skin and hyperpigmentation through network pharmacology combined with molecular docking.Materials and Methods:The targets associated with sensitive skin and hyperpigmentation were collected from the human gene database,GeneCards.Subsequently,the protein-protein interaction(PPI)network,Kyoto Encyclopedia of Genes and Genomes(KEGG),and Gene Ontology(GO)enrichment analysis were performed to explore the biological connections between sensitive skin and hyperpigmentation.Additionally,the targets of 15 active compounds with reported lightening effects were collected from TCMSP,BATMAN and SymMap databases.Target analysis and molecular docking were performed to identify potential candidates for addressing hyperpigmentation on sensitive skin.The anti-melanogenesis effect of the identified candidate was verified in B16F10 cells.Results:A total of 16971 sensitive skin targets and 11382 hyperpigmentation targets were screened,and 9693 overlapping targets were identified,with a core set comprising 164 targets.The combination of PPI network,KEGG and GO analysis revealed the key role of tyrosinase and immune-mediated inflammation in pigmentation on sensitive skin.Among the 15 active compounds,oxyresveratrol was identified as having a high correlation with the core set targets and predicted strong inhibition of Tyrosine-protein Kinase Kit.The application of oxyresveratrol exhibited a dose-dependent suppression of melanin production in B16F10 cells.Conclusion:This study suggested the crucial roles of immune-mediated inflammation in sensitive skin and hyperpigmentation,as well as highlighted the potential of oxyresveratrol in addressing hyperpigmentation on sensitive skin.These comprehensive findings provide a deeper understanding of the connection mechanism between sensitive skin and hyperpigmentation,offering new insights for the development of targeted treatments and interventions.展开更多
To investigate the mechanisms of apigenin(API)and proanthocyanidins(PC)in soothing sensitive skin(SS),a mast cell degranulation model was established by stimulating RBL-2H3 cells with the calcium ionophore A23187.Base...To investigate the mechanisms of apigenin(API)and proanthocyanidins(PC)in soothing sensitive skin(SS),a mast cell degranulation model was established by stimulating RBL-2H3 cells with the calcium ionophore A23187.Based on the combinatorial experiments,it was found that when API and PC were combined at the molar ratios of 4∶1 and 2∶1,they exhibited the antagonistic effects on histamine release(combination index CI>1);when they are combined at the molar ratios of 1∶1,1∶2 or 1∶4,they showed the synergistic effects on histamine release(CI<1).Among them,the combination of API and PC at a molar ratio of 1∶1 showed the better potent synergistic antihistamine release effect(CI=0.70).Histamine is a hallmark of the mast cell degranulation,consequently,the combination of API and PC at a molar ratio of 1∶1 yields the better efficiency in inhibiting the mast cell degranulation with the lowest IC50value.Compared to the utilization of API or PC alone,the IC50value was reduced by 11.150 and 6.503μmol/L,respectively.Compared to the positive control paeonol(PA),the treatment with the combination significantly reduced theβ-hex secretion,decreased the F-actin cytoskeleton rearrangement,and markedly suppressed the release of TNF-α,IL-4,and MCP-1.Further studies on the signaling pathways related to the mast cell degranulation indicated that the combination effectively inhibited the intracellular Ca2+influx and significantly suppressed the phosphorylation of calmodulin-dependent protein kinase(CaMK)and phospholipase C/protein kinase C(PLC/PKC).In summary,the combination of API and PC at a molar ratio of 1∶1 exhibited the better synergistic antagonistic effect on the histamine release,inhibited the mast cell degranulation model activation by reducing Ca2+influx and inhibiting the activation of Ca2+/CaMK and PLC/PKC pathways,stabilized the cell membranes,regulated the inflammatory factor secretion,and exerted an effect in alleviating sensitive skin.展开更多
The development of the Internet of Things(IoT)has brought convenience to people’s lives,but it also introduces significant security risks.Due to the limitations of IoT devices themselves and the challenges of re-host...The development of the Internet of Things(IoT)has brought convenience to people’s lives,but it also introduces significant security risks.Due to the limitations of IoT devices themselves and the challenges of re-hosting technology,existing fuzzing for IoT devices is mainly conducted through black-box methods,which lack effective execution feedback and are blind.Meanwhile,the existing static methods mainly rely on taint analysis,which has high overhead and high false alarm rates.We propose a new directed fuzz testing method for detecting bugs in web service programs of IoT devices,which can test IoT devices more quickly and efficiently.Specifically,we identify external input entry points using multiple features.Then we quickly find sensitive targets and paths affected by external input sources based on sensitive data flow analysis of decompiled code,treating them as testing objects.Finally,we performa directed fuzzing test.We use debugging interfaces to collect execution feedback and guide the programto reach sensitive targets based on programpruning techniques.We have implemented a prototype system,AntDFuzz,and evaluated it on firmware fromten devices across five well-known manufacturers.We discovered twelve potential vulnerabilities,seven of which were confirmed and assigned bug id by China National Vulnerability Database(CNVD).The results show that our approach has the ability to find unknown bugs in real devices and is more efficient compared to existing tools.展开更多
基金supported by the National Natural Science Foundation of China(No.62003237).
摘要A temperature-insensitive micro-displacement sensor based on a spindle-shaped single mode fiber(SMF)is presented and demonstrated.The SMF is bent into a balloon-shaped SMF and burned into a spindle-shaped SMF by a flame.Due to the bending of the fiber,part of the incident light leaks from the fiber core into the fiber cladding,which excites higher order cladding modes.Therefore,modal interference occurs.The experimental results show that the maximum sensitivity of the sensors is−203 pm/µm when micro-displacement varies from 0 to 80µm.The sensors are insensitive to temperature in the range of 20–70°C.In addition,the sensors have the advantages of simple structure,low cost,small volume,high sensitivity and stability,which can be widely used in numerous high-precision industrial measurements and civil engineering structure monitoring fields.
基金The Guangxi Scientific Projects under contract No.2025GXNSFAA069160the Guangxi Science and Technology Program under contract No.AD25069075+2 种基金the National Natural Science Foundation of China under contract No.42366002the Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Program under contract Nos SML2021SI1004,SML2023SP215,SML2023SP218,and SML2023SP238the NSFC Shiptime Sharing Project under contract Nos 42349911,42449910,and 42449911。
摘要Grain-size sensitive component separation(GSCS)methods are pivotal for paleoenvironmental reconstruction but remain underexplored in tectonically active deep-sea seamount settings like the central South China Sea(SCS).This study presents the first systematic comparison of three GSCS techniques,namely standard deviation(STD),endmember modeling(EMM),and principal component analysis(PCA).These methods are applied specifically to sediment core GT-06 recovered from the Zhongnan Seamount in the central South China Sea.By integrating grain-size unmixing with complementary proxies,including magnetic susceptibility(MS)and loss on ignition(LOI),we assess the resolving power of each method and relate the resulting components to site-specific sedimentary processes(e.g.,summer monsoon,volcanic activity,seamount collapse-induced turbidity currents).Key results show that all methods identified three dominant grain-size ranges(clay,silt-sand,coarse sand)with robust inter-method correlations.Critically,EMM and PCA uniquely resolved a volcanic-derived silt component(EM2)that was undetectable using the STD method,highlighting a key limitation of STD in complex settings.Four geologically meaningful end-members were identified:(1)fine-grained terrigenous clay linked to the East Asian summer monsoon(EASM),(2)volcanic detritus reflecting Quaternary submarine eruptions,(3)siliceous biogenic debris indicative of monsoon-modulated productivity,and(4)coarse calcareous fragments associated with seamount collapse-induced turbidity currents.The results highlight the superior ability of EMM/PCA to resolve complex signals,whereas STD serves as an efficient yet limited tool for first-order screening.Together,these methods form a site-adapted framework for tectonically active deep-sea seamounts:EMM/PCA enabling fine-scale interpretation of monsoon-volcanic-turbidity interactions,and STD supports rapid large-dataset comparison.This workflow improves the reliability of paleoenvironmental reconstructions in mixed-signal settings like the Zhongnan Seamount.
摘要Introduction Prostate cancer(PCa)remains one of the most commonly diagnosed malignancies and a leading cause of cancer-related death among males worldwide.For patients with metastatic disease,treatment strategies are largely determined by disease state,including metastatic hormone-sensitive prostate cancer(mHSPC)and metastatic castration-resistant prostate cancer(mCRPC),which represent sequential stages of tumor evolution.
基金supported by the National Natural Science Foundation of China (Grant No.12374021)Beijing Natural Science Foundation (Grant No.1252031)。
摘要To overcome the limitations of traditional single-crystal X-ray diffraction(SCXRD)for microcrystalline materials and the peak-overlapping issue of powder X-ray diffraction(PXRD),this study employed cryogenic continuous rotation electron diffraction(cryo-cRED)with a low-dose strategy to determine the crystal structure of CL30,a novel silicogermanate framework.It is confirmed that CL30 crystallizes in the C2/m space group and has layered topology composed of discontinuous zigzag chains connected by double four-membered ring(d4r)units,with fluoride anions(F-)occluded in the d4r units.In CL30,charge balance involves organic structure-directing agent(OSDA)cations,occluded F-,and terminal oxygen sites whose protonation state cannot be established from the present three dimensional(3D)ED data.F-encapsulated in the d4r units contributes to charge compensation as the counter-anion to OSDA cations,rather than only balancing the framework charge.Although the refinement indices(R1=0.29,wR2=0.71)exceeded typical small-molecule crystallography standards,the structural model remained highly reliable,as supported by geometric restraints and validation.In electron diffraction,elevated R1 values are commonly attributed to the intrinsic factors of the technique,such as dynamic scattering,detector noise from scintillator-based detectors,and TEM stage instability(large spheres of confusion).This study introduces a new structural prototype to the silicogermanate family and establishes a feasible workflow for determining the structures of radiation-sensitive microcrystalline porous materials.
摘要The Industrial Internet of Things(IIoT)has revolutionized conventional manufacturing industries by improving control,monitoring,and management,resulting in increased agility and long-term sustainability.The demand for processing and storage resources increases as the number of IoT devices and the data they generate increases.Cloud computing often serves these needs,but in certain scenarios,real-time data processing near the source is necessary to guarantee low latency,minimize bandwidth usage,and enhance data security.This work proposes a novel edge computing-based IIoT architecture for delay-sensitive monitoring and control in manufacturing industries.In contrast to previous work,this work is designed to enhance system performance by ensuring the availability of edge nodes and distributing task execution loads evenly across multiple edge computing nodes.The proposed architecture is further optimized for efficient allocation of resources and scheduling of tasks by the addition of a task scheduling algorithm by using Round Trip Time(RTT)and Resource Logger(RL).In an effort to optimize the response time of both the complete system and individual Device Nodes(DN),the work also considers the deployment of heterogeneous Edge Nodes(EN).The evaluation results show that the proposed architecture reduces the communication delay and overhead by 88.28% compared to the traditional cloud-based approach and 12.32% compared to the previously proposed methods ATS-FOA and RBEC/PENB,respectively,for executing IIoT applications.The proposed Resource Logger,Round Trip Time-Based Edge Node Selection(RLRTT-ESA),and task scheduling algorithms further improved the total application response time by 47.25% in comparison to the previously proposed methods ATS-FOA and RBEC/PENB,respectively.
基金funded by the National Natural Science Foundation of China(Grant No.62441212)the Major Project of the Natural Science Foundation of Inner Mongolia(Grant No.2025ZD008).
摘要Aiming at the problem of insufficient recognition of implicit variants by existing Chinese sensitive text detection methods,this paper proposes the IPKE-MoE framework,which consists of three parts,namely,a sensitive word variant extraction framework,a sensitive word variant knowledge enhancement layer and a mixture-of-experts(MoE)classification layer.First,sensitive word variants are precisely extracted through dynamic iterative prompt templates and the context-aware capabilities of Large Language Models(LLMs).Next,the extracted variants are used to construct a knowledge enhancement layer for sensitive word variants based on RoCBert models.Specifically,after locating variants via n-gram algorithms,variant types are mapped to embedding vectors and fused with original word vectors.Finally,a mixture-of-experts(MoE)classification layer is designed(sensitive word,sentiment,and semantic experts),which decouples the relationship between sensitiveword existence and text toxicity throughmultiple experts.This framework effectively combines the comprehension ability of Large Language Models(LLMs)with the discriminative ability of smaller models.Our two experiments demonstrate that the sensitive word variant extraction framework based on dynamically iterated prompt templates outperforms other baseline prompt templates.TheRoCBert models incorporating the sensitive word variant knowledge enhancement layer and a mixture-of-experts(MoE)classification layer achieve superior classification performance compared to other baselines.
摘要Sensitive skin and skin aging share key features such as barrier damage,chronic inflammation,extracellular matrix(ECM)breakdown,and vascular changes.Recent studies have identified Cellular Communication Network Factor 1(CCN1)as an important regulator in these processes.In this review,we summarize current understanding of CCN1 expression patterns and signaling mechanisms in skin biology and discuss how its upregulation,which is triggered by ultraviolet radiation,intrinsic aging,or environmental stress,can lead to barrier dysfunction,inflammation,collagen degradation,angiogenesis,cellular senescence,and pigmentation abnormalities.We emphasize that sustained CCN1 accumulation in the ECM perpetuates fibroblast activation and keratinocyte dysfunction,thereby contributing to persistent tissue damage.These findings highlight the critical role of CCN1 in regulating the skin microenvironment and intercellular communication and suggest it as a potential therapeutic target for preventing or treating sensitive skin and skin aging.Future strategies aimed at modulating CCN1 or its downstream pathways may help restore skin homeostasis and improve long-term skin health.
摘要Leveraging both global contextual dependencies and local temporal-spectral patterns can further enhance speech quality and intelligibility,motivating the integration of diverse neural network structures for improved mask estimation.Furthermore,due to the limitations of existing time-frequency phase-aware masks,a new constrained phase-sensitive mask is introduced and estimated using the proposed architectures.In this paper,we first propose a modified transformer model for constrained phasesensitive ideal magnitude ratio mask(cPSIRM)estimation(TRF-cPSIRM)to incorporate both magnitude and phase information and improve speech enhancement quality.The transformer model can extract global information,whereas the convolutional neural network(CNN)and convolutional recurrent network(CRN)are effective in capturing local content.CNNs have feature extraction capability due to their convolutional layers,and CRNs benefit from the temporal modelling strength of LSTM recurrent layers,which is useful for enhancement.Therefore,in this paper,to exploit both transformer(TRF)and CNN/CRN capabilities,we propose the cascaded structures(models)of CNN and TRF layers(CNN-TRF-cPSIRM)and also TRF and CRN layers(TRF-CRN-cPSIRM)for cPSIRM estimation and,consequently,speech enhancement.The CNN is used for feature extraction in CNN-TRF-cPSIRM and CRN for enhancement in TRF-CRN-cPSIRM.Moreover,considering the harmonic property of speech in the frequency spectrum,we present the transposed transformer-based model(TTRF),in which the neighbourhood relationship between the different frequency sub-bands is used as a sequence in the model.Then,to model both the long-term and short-term dependencies,the cascaded model of TTRF(intra-transformer)and TRF(inter-transformer)is proposed for cPSIRM estimation(TTRF-TRF-cPSIRM).The experimental results show that among these transformer-based models,the CNN-TRF-cPSIRM has the best performance,achieving up to about 0.44 perceptual evaluation of speech quality(PESQ)improvement over the baseline and 1.5 over the noisy speech.
基金Supported by Guangxi Project for Enhancing the Basic Research Capabilities of Middle-aged and Young Teachers(2022KY0263)Guangxi Science and Technology Program(LT2600640032).
摘要This paper introduces value sensitive design(VSD)and institutional ethics theory,proposes a diagnostic framework of"institutional ethics absence",and differentiates between the two paradigms of"technical ethics embedding"and"institutional ethics reconstruction".The analysis indicates that the prevailing ethical challenges in the intelligent public health governance do not stem from technical limitations.Instead,they reflect an external manifestation of the absence of institutional ethics.Although ethical principles are broadly proclaimed,there is a deficiency in operational mechanisms to transform these principles into institutional regulations,leading to"institutional hollowness"wherein principles exist nominally but lack substantive enforcement.The article elucidates the integration pathway between VSD and institutional ethics:VSD offers a methodological foundation for embedding ethical considerations into design,whereas institutional ethics provides a"meta-institutional"guarantee for the design process.Together,these approaches facilitate the"dual embedding"of ethical requirements at both technological and institutional levels.This paper develops a three-tiered institutional reconstruction pathway centered on the core concepts of"precaution,human subjectivity,and justice".It integrates the frameworks of technical standard setting,organizational ethics review,and legal accountability,thereby offering theoretical support for the ethical legitimacy of intelligent public health governance in the digital era.
摘要Ecologically sensitive areas face multiple overlapping pressures, and their environmental risks show spatial heterogeneity and dynamic evolution. To address the problems of insufficient risk identification accuracy and low coordination efficiency among governance actors, this study builds a risk identification simulation model based on multi-source indicator fusion, uses spatial analysis methods to define risk levels and distribution patterns, and designs a quantifiable multi-actor collaborative governance framework. Scenario simulations are used to compare and verify governance outcomes. The results show that the fusion model effectively improves the spatial resolution and stability of risk identification, and the collaborative governance framework significantly reduces the rate of risk spread and improves governance response efficiency. This provides a reusable methodological approach for risk control in ecologically sensitive areas.
基金National Key Research and Development Program of China(2024YFA1409700)CAS Project for Young Scientists in Basic Research(YSBR-056)+1 种基金National Natural Science Foundation of China(62125405,62274161,62274158,62305326,62304253,12474023)Youth Innovation Promotion Association(2023122)。
摘要Expanding the detection range beyond 1.55μm and introducing the polarization sensitivity of germanium(Ge)photodetectors are essential for advancing near-infrared sensing applications.In this work,a Ge∕SiO2 embedded grating structure(EGS)is integrated at the base of a Ge metal-semiconductor-metal(MSM)photodetector via selective epitaxial growth.Serving a dual purpose,the EGS acts as a hard mask to trap threading dislocations,thus suppressing dark current,while simultaneously inducing strong optical resonance for enhanced absorption and polarization sensitivity.The EGS-integrated photodetector achieves a responsivity of 0.25 A/W at 1.6μm,corresponding to an enhancement factor of 2.8 as compared with the reference device.In addition,the polarization extinction ratio is measured to be 2.9.Both the enhancement factor and extinction ratio are determined to maintain above unity throughout the entire L-band.This architecture provides a CMOS-compatible route to realizing high-performance polarization-sensitive Ge photodetectors with extended operational bandwidth.
基金supported by the National Key Research and Development Program of China(No.2024YFB3815800 and No.2024YFB3815801)the National Natural Scientific Foundation of China(No.62474107).
摘要The booming demand for flexible electronics requires piezoelectric sensors that can simultaneously deliver high sensitivity and exceptional stretchability,which has become a significant challenge beyond the capabilities of conventional devices.Inspired by the hexagonal mesh structure,we adopted an architecture design to fabricate a continuous,structurally flexible ceramic skeleton,thereby developing a piezoelectric sensor integrating both high sensitivity and superior stretchability.The macroscopic 3D interconnected skeleton ensures efficient stress transfer for enhanced pressure sensitivity,while the hexagonal topology with hierarchical microfibers enables deformation-driven slippage under load to ensure robust stretchability.Consequently,the composite achieves remarkable stretchability(220%strain)and excellent mechanical stability(>50 stretch-compression cycles,hysteresis~8.13%).The fully flexible piezoelectric sensor maintains stable functionality even under 100%tensile strain and exhibits high sensitivity(39.57 mV kPa−1),collectively outperforming conventional piezoelectric sensors.Based on these unique advantages,we demonstrate the sensor’s capability in fine surface roughness discrimination and real-time monitoring of human stretching movements,highlighting its great potential for applications in robotic dexterous manipulation and wearable health monitoring systems.
基金supported by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(Grant Nos.25KJB416001 and 22KJB510034)the National Natural Science Foundation of China(Grant Nos.12174199 and 11704199)+5 种基金the Scientific Research Foundation for Highlevel Talents in Nanjing Vocational College of Information Technology(Grant No.YB202410)the China Postdoctoral Science Foundation(Grant No.2021M701765)General Program of Natural Science Foundation of Jiangsu Province(Grant No.BK20221330)Jiangsu University‘Blue Project’FundingPostgraduate Research&Practice Innovation Programs of Jiangsu ProvinceJiangsu Province Higher Education Teaching Reform Research Project(Grant No.2025JGYB487)。
摘要A highly sensitive,ultra-low detection limit 3-D DNA nanostructure biosensor based on functionalized reflective optical fiber probe(ROFP)is proposed and demonstrated.Our approach achieves a mass limit of detection of~10 aM based on the ROFP.A particular single-nucleotide mismatch sequence is also identified.The sensitivity of the proposed DNA biosensor is 1.51 nm/lgaM,about three-fold higher than using single-strand DNA probes(0.47 nm/lgaM)and with high specificity.The proposed ROFP has high compactness(with a length of~3 mm)which is convenient for sample detection with small volume and complex gradients in small spaces with high sensitivity.
摘要Background:This study evaluates the efficacy of gabexate mesylate thermosensitive in-situ gel(GMTI) in the treatment of beagle grade Ⅲ pancreatic trauma(PT) with the assistance of contrast-enhanced ultrasound(CEUS) and investigates its mechanism of action.Methods:A grade Ⅲ PT model consisting of 15 beagle dogs with severed main pancreatic ducts was created and treated with cephalic vein injection of gabexate mesylate(GM)(1.54mL/10kg,TID) and peripancreatic injection of GMTI(4.63 mL/10 kg,QD) guided by CEUS within 24h post-surgery.Ascites and serum levels of amylase(AMY),lipase(LPS),C-reactive protein(CRP),interleukin(IL)-6,tumor necrosis factor(TNF)-α,and urinary trypsinogen activating peptide(TAP) were detected by ELISA.Histopathological changes in the canine pancreas were observed by Hematoxylin and Eosin staining.Results:CEUS accurately displayed pancreatic lesions and guided catheterisation.Compared to the control group,the ascites was significantly reduced after treatment(p<0.01).AMY and LPS ascites significantly decreased on post-operative 1st and 2nd day(p<0.01).The levels of AMY,LPS,CRP,IL-6,and TNF-α in serum were decreased(p<0.05 or p <0.01).Urinary TAP was decreased 1 and 2 days after treatment(p<0.05or p<0.01,respectively).In the control group,pancreatic tissue necrosis was evident in the wound area.Normal glandular cell structures and fibrous tissue hyperplasia were observed in the wound area after GMTI treatment.The GMTI group performed better than the GM group in improving pancreatic histology and reducing AMY levels in the early post-operative period.Conclusion:Guided by CEUS,daily peripancreatic injections of GMTI in Beagles effectively inhibit pancreatic enzyme activity and aid in the adjuvant treatment of pancreatic trauma.
基金supported by the National Natural Science Foundation of China(62273298)Hebei Natural Science Foundation(F2023203063)Provincial Key Laboratory Performance Subsidy Project(22567612H)
摘要Dear Editor,The industrial internet of things(IIoT) integrates communications and controls into a cohesive system within the framework of Industry 5.0,where time delay critically impairs system performance.Especially,the introduction of wireless networks results in more severe induced delays than wired networks,owing to the greater complexity of factors affecting reliable state updates.
基金supported by the National Natural Science Foundation of China(Nos.22193042,22125110,22075285,52473283,21921001,U21A2069)the Key Research Program of Frontier Sciences of the Chinese Academy of Sciences(No.ZDBS-LY-SLH024)the Youth Innovation Promotion of Chinese Academy of Sciences(No.2020307)。
摘要Polar semiconductors,particularly the emerging polar two-dimensional(2D)halide perovskites,have motivated immense interest in diverse photoelectronic devices due to their distinguishing polarizationgenerated photoelectric effects.However,the constraints on the organic cation's choice are still subject to limitations of polar 2D halide perovskites due to the size of the inorganic pocket between adjacent corner-sharing octahedra.Herein,a mixed spacer cation ordering strategy is employed to assemble a polar 2D halide perovskite NMAMAPb Br4(NMPB,NMA is N-methylbenzene ammonium,MA is methylammonium)with alternating cation in the interlayer space.Driven by the incorporation of a second MA cation,the perovskite layer transformed from a 2D Pb7Br24anionic network with corner-and face-sharing octahedra to a flat 2D PbBr4perovskite networks only with corner-sharing octahedra.In the crystal structure of NMPB,the asymmetric hydrogen-bonding interactions between ordered mixed-spacer cations and 2D perovskite layers give rise to a second harmonic generation response and a large polarization of 1.3μC/cm2.More intriguingly,the ordered 2D perovskite networks endow NMPB with excellent self-powered polarization-sensitive detection performance,showing a considerable polarization-related dichroism ratio up to 1.87.The reconstruction of an inorganic framework within a crystal through mixed cation ordering offers a new synthetic tool for templating perovskite lattices with controlled properties,overcoming limitations of conventional cation choice.
基金financial support from the National Natural Science Foundation of China(Grants No.U2330206,No.U2230206,and No.62173068)the Natural Science Foundation of Guangxi Province(Grant No.AB24010157)+1 种基金the Sichuan Forestry and Grassland Bureau(Grant Nos.G202206012 and G202206012-2)Sichuan Science and Technology Program(Grant Nos.2024NSFSC1483,2024ZYD0156,2023NSFC1962,and DQ202412).
摘要In modern complex systems,real-time regression prediction plays a vital role in performance evaluation and risk warning.Nevertheless,existing methods still face challenges in maintaining stability and predictive accuracy under complex conditions.To address these limitations,this study proposes an online prediction approach that integrates event tracking sensitivity analysis with machine learning.Specifically,a real-time event tracking sensitivity analysis method is employed to capture and quantify the impact of key events on system outputs.On this basis,a mutualinformation–based self-extraction mechanism is introduced to construct prior weights,which are then incorporated into a LightGBM prediction model.Furthermore,iterative optimization of the feature selection threshold is performed to enhance both stability and accuracy.Experiments on composite microsensor data demonstrate that the proposed method achieves robust and efficient real-time prediction,with potential extension to industrial monitoring and control applications.
摘要Background:Sensitive skin affects a substantial portion of the global population and has significant implications for skin health and well-being.In addition to unpleasant sensory effects,individuals with sensitive skin were likely to be more susceptible to hyperpigmentation.However,the association between sensitive skin and hyperpigmentation,as well as the underlying molecular mechanisms,remain unclear.Objective:This study aims to investigate the correlation and intrinsic mechanisms between sensitive skin and hyperpigmentation through network pharmacology combined with molecular docking.Materials and Methods:The targets associated with sensitive skin and hyperpigmentation were collected from the human gene database,GeneCards.Subsequently,the protein-protein interaction(PPI)network,Kyoto Encyclopedia of Genes and Genomes(KEGG),and Gene Ontology(GO)enrichment analysis were performed to explore the biological connections between sensitive skin and hyperpigmentation.Additionally,the targets of 15 active compounds with reported lightening effects were collected from TCMSP,BATMAN and SymMap databases.Target analysis and molecular docking were performed to identify potential candidates for addressing hyperpigmentation on sensitive skin.The anti-melanogenesis effect of the identified candidate was verified in B16F10 cells.Results:A total of 16971 sensitive skin targets and 11382 hyperpigmentation targets were screened,and 9693 overlapping targets were identified,with a core set comprising 164 targets.The combination of PPI network,KEGG and GO analysis revealed the key role of tyrosinase and immune-mediated inflammation in pigmentation on sensitive skin.Among the 15 active compounds,oxyresveratrol was identified as having a high correlation with the core set targets and predicted strong inhibition of Tyrosine-protein Kinase Kit.The application of oxyresveratrol exhibited a dose-dependent suppression of melanin production in B16F10 cells.Conclusion:This study suggested the crucial roles of immune-mediated inflammation in sensitive skin and hyperpigmentation,as well as highlighted the potential of oxyresveratrol in addressing hyperpigmentation on sensitive skin.These comprehensive findings provide a deeper understanding of the connection mechanism between sensitive skin and hyperpigmentation,offering new insights for the development of targeted treatments and interventions.
摘要To investigate the mechanisms of apigenin(API)and proanthocyanidins(PC)in soothing sensitive skin(SS),a mast cell degranulation model was established by stimulating RBL-2H3 cells with the calcium ionophore A23187.Based on the combinatorial experiments,it was found that when API and PC were combined at the molar ratios of 4∶1 and 2∶1,they exhibited the antagonistic effects on histamine release(combination index CI>1);when they are combined at the molar ratios of 1∶1,1∶2 or 1∶4,they showed the synergistic effects on histamine release(CI<1).Among them,the combination of API and PC at a molar ratio of 1∶1 showed the better potent synergistic antihistamine release effect(CI=0.70).Histamine is a hallmark of the mast cell degranulation,consequently,the combination of API and PC at a molar ratio of 1∶1 yields the better efficiency in inhibiting the mast cell degranulation with the lowest IC50value.Compared to the utilization of API or PC alone,the IC50value was reduced by 11.150 and 6.503μmol/L,respectively.Compared to the positive control paeonol(PA),the treatment with the combination significantly reduced theβ-hex secretion,decreased the F-actin cytoskeleton rearrangement,and markedly suppressed the release of TNF-α,IL-4,and MCP-1.Further studies on the signaling pathways related to the mast cell degranulation indicated that the combination effectively inhibited the intracellular Ca2+influx and significantly suppressed the phosphorylation of calmodulin-dependent protein kinase(CaMK)and phospholipase C/protein kinase C(PLC/PKC).In summary,the combination of API and PC at a molar ratio of 1∶1 exhibited the better synergistic antagonistic effect on the histamine release,inhibited the mast cell degranulation model activation by reducing Ca2+influx and inhibiting the activation of Ca2+/CaMK and PLC/PKC pathways,stabilized the cell membranes,regulated the inflammatory factor secretion,and exerted an effect in alleviating sensitive skin.
摘要The development of the Internet of Things(IoT)has brought convenience to people’s lives,but it also introduces significant security risks.Due to the limitations of IoT devices themselves and the challenges of re-hosting technology,existing fuzzing for IoT devices is mainly conducted through black-box methods,which lack effective execution feedback and are blind.Meanwhile,the existing static methods mainly rely on taint analysis,which has high overhead and high false alarm rates.We propose a new directed fuzz testing method for detecting bugs in web service programs of IoT devices,which can test IoT devices more quickly and efficiently.Specifically,we identify external input entry points using multiple features.Then we quickly find sensitive targets and paths affected by external input sources based on sensitive data flow analysis of decompiled code,treating them as testing objects.Finally,we performa directed fuzzing test.We use debugging interfaces to collect execution feedback and guide the programto reach sensitive targets based on programpruning techniques.We have implemented a prototype system,AntDFuzz,and evaluated it on firmware fromten devices across five well-known manufacturers.We discovered twelve potential vulnerabilities,seven of which were confirmed and assigned bug id by China National Vulnerability Database(CNVD).The results show that our approach has the ability to find unknown bugs in real devices and is more efficient compared to existing tools.