Conventional path protection algorithms in all-optical data center networks(DCNs)need a relatively long calculation time but with low efficiency.In this article,we propose a preset path recovery algorithm by combining...Conventional path protection algorithms in all-optical data center networks(DCNs)need a relatively long calculation time but with low efficiency.In this article,we propose a preset path recovery algorithm by combining machine learning and priority execution method.The former is to predict areas of frequent optical path failures in data centers,and the latter is to ensure accurate protection in those areas while reducing computation time and improving performance.Firstly,we construct a dataset using rules composed of topological edge relationships,failure time,failure frequency,packet loss rate,latency and service type.Then,based on the above dataset,SVM(support vector machine)algorithm is used to predict frequent failure areas.Finally,based on different prediction frequencies,priority construction is carried out to cluster the entire topology,and p-cycle(preconfigured protection cycle)is applied to each topology.Experiments show that the combination of SVM prediction and classification protection can significantly reduce the protection range of potential failure areas to reduce computation time while ensuring high accuracy,as compared with traditional optical path protection algorithms.展开更多
Piceatannol(PIC)is a natural stilbene polyphenol found in various plants,which has pharmacological effects such as anti-tumor,anti-inflammatory,antiviral,liver protection,myocardial protection,and eye tissue protectio...Piceatannol(PIC)is a natural stilbene polyphenol found in various plants,which has pharmacological effects such as anti-tumor,anti-inflammatory,antiviral,liver protection,myocardial protection,and eye tissue protection.PIC can inhibit the proliferation of liver cancer cells and induce apoptosis and autophagy by activating the ULK1/Atg13 signaling pathway.PIC can reduce HBV inflammation by downregulating the Notch pathway.Through antioxidant,anti-inflammatory,and anti abnormal autophagy,PIC can relieve vomiting toxin induced liver injury.By inhibiting the HMGB1/TLR4/NF-κB pathway,PIC can protect myocardium.By activating the SIRT1/FOXO3a/BNIP3 pathway,PIC can protect corneal epithelial cells from oxidative damage.PIC can directly inhibit rotavirus and conduct antiviral biosynthesis.PIC has high safety,multi-target regulation,and good development prospects,but its molecular mechanism and clinical efficacy still need to be further studied.展开更多
Soft robots,owing to their ability to undergo continuous large deformations,hold significant promise in fields such as disaster rescue,scientific exploration,and medical healthcare.However,they are prone to damage und...Soft robots,owing to their ability to undergo continuous large deformations,hold significant promise in fields such as disaster rescue,scientific exploration,and medical healthcare.However,they are prone to damage under harsh working conditions,which can negatively impact their operational efficiency.The existing research on the protection of soft robots is very limited.In this study,inspired by the natural armor of the arapaima and the asymmetrical body surface structures of the cobra,a high-performance flexible protective system was designed using a coupled biomimetic approach.An electronic pressure testing machine was used to evaluate the flexibility and protective performance of the biomimetic protection system.The results indicated that the presence of the asymmetric structures can substantially enhance the protection performance of the biomimetic protection system without appreciably compromising its flexibility in the slightest.This is due to the reason that the frictional anisotropic effect of asymmetric structure has varying effects on the interlocking interaction between adjacent scales in bending and compression conditions.This study introduces a novel approach aiming at enhancing the protective performance of flexible protection systems,thus presenting potential applications in soft robotic systems.展开更多
The efficient healing rate for self-healing anticorrosion coatings plays an essential role on resisting rapidly developed corrosion and providing sufficient protection properties.The anticorrosion poly(urethane-urea)(...The efficient healing rate for self-healing anticorrosion coatings plays an essential role on resisting rapidly developed corrosion and providing sufficient protection properties.The anticorrosion poly(urethane-urea)(PU)coatings reinforced by mesoporous polydopamine modified Ti3C2TxMXene(MPDA/Ti3C2Tx)were constructed.MPDA/Ti3C2Txwas embedded to offer hierarchically interfacial interactions through microscopic hydrogen bonding in PU chains-PDA molecules,and mesoscopic engaging effects originated from PU matrix anchoring interface mesopores.Hydrogen and disulfide bonds are co-incorporated into PU for producing room-temperature self-healing ability.What's more,the photothermal conversion capability of MPDA/Ti3C2Txendows PU coating with greatly accelerated self-healing rate to resist corrosion expansion.The healed coating exhibited promising stability in simulated seawater after 47 d,proving the practicality and feasibility in protection application of marine facilities.展开更多
Background Cotton charcoal rot disease,caused by Macrophomina phaseolina,is a major threat to cotton production in Israel and globally,leading to severe yield loss due to post-flowering plant collapse.Current manageme...Background Cotton charcoal rot disease,caused by Macrophomina phaseolina,is a major threat to cotton production in Israel and globally,leading to severe yield loss due to post-flowering plant collapse.Current management relies heavily on chemical fungicides.However,rising environmental concerns and fungicide resistance underscore the need for sustainable alternatives.This study evaluated novel clay-based formulations for the controlled release of azoxystrobin(AS).The approach aims to protect cotton during the sensitive early growth stages when pathogen penetration and colonization occur.Two types of clay carriers—bentonite(montmorillonite)and sepiolite—were tested for their ability to deliver AS effectively.Results While seedlings grown in the greenhouse showed minimal visible symptoms at the disease latent stage,quantitative real-time PCR analysis indicated that both formulations effectively suppressed root infection,reducing M.phaseolina DNA levels by 81%.In a full-season open-enclosure trial,bentonite-AS treatment exhibited reduced efficacy,possibly due to phytotoxicity at the tested concentration.In contrast,the sepiolite-AS treatment increased flower bud number by 87%and reduced pathogen infection by up to 92%at 68 days post-sowing,although these effects were not statistically significant due to high variability.At harvest,sepiolite-AS and bentonite alone increased shoot dry weight per plant by 129%and 128%,respectively,and reduced pathogen DNA levels by 63%and 69%,respectively.Conclusion Overall,although environmental variability led to statistical insignificance,the findings support the clay-AS approach,especially sepiolite,as an effective means to prevent early infection and reduce late-season disease outbreaks.This formulation holds promise for seed coating or sowing strip applications,offering a practical,eco-friendly approach that can be integrated with biological control to reduce chemical inputs across diverse cultivation systems.展开更多
The proliferation of diverse entities within distribution network has led to an increase in the scale and complexity of data asset interactions,exacerbating security risks,such as unauthorized access,data tampering,an...The proliferation of diverse entities within distribution network has led to an increase in the scale and complexity of data asset interactions,exacerbating security risks,such as unauthorized access,data tampering,and forgery.In response to these challenges,this study introduces a novel framework that enhances the protection of data assets.It incorporates a multi-dimensional knowledge graph(MDKG)to refine access control and overcome current limitations by integrating a comprehensive set of data asset attributes,roles,policies,and permissions.This approach fosters the development of a nuanced and adaptable access-control mechanism.Furthermore,the framework integrates multiple topology(MTP)for holistic security risk detection,leveraging attention mechanisms,and cross-fusion to adapt to the dynamic data security landscape.Empirical evaluations affirm the effectiveness of MDKG-based access control,whereas comparative experiments demonstrate the superiority of the MTP-based security risk model over existing models.The framework was proven to be effective in countering security risks.This study provides innovative perspectives on data asset protection and establishes a solid foundation for the advancement of smart grid technology.展开更多
In this study,an integrated thermal protection system was formed by bonding the Carbon/Carbon(C/C) composite thermal insulation layer and carbon foam thermal insulation tile on an aluminum honeycomb sandwich panel acc...In this study,an integrated thermal protection system was formed by bonding the Carbon/Carbon(C/C) composite thermal insulation layer and carbon foam thermal insulation tile on an aluminum honeycomb sandwich panel according to the functions of each layer of materials,and the thermal–mechanical response was analyzed by experimental tests and numerical simulations.First,infrared lamp facility and arcjet wind tunnel tests were used to check the accuracy of the model and calculate the heat-shielding index.Then,using the aerodynamic heat flow and pressure of the vehicles re-entry process,the temperature field and thermal deformation of the thermal protection system were analyzed according to the thermal–mechanical coupling analysis,and its performance requirements as a vehicles shell were evaluated.Analysis show that the thermomechanical properties of each layer were mismatched due to thermal deformation,resulting in debonding at the interlayer interface,which was also observed in the experiment.In addition,a 1 mm gap in the insulation tile promotes the release of thermal stress and reduces interlayer disbonding.According to the multi-scale model,10 thermal cycles(corresponding to the flight process) were analyzed,and the failure and damage evolution process of C/C composites at the microscopic level were revealed.The results of thermal cycling show that the microscopic damage started from the interfacial debonding of the fiber/matrix and ended with the connection of the pores through crack propagation in the matrix.This study provides a solution for analyzing the thermal–mechanical response of a thermal protection system and a design solution for improving reusability.展开更多
Carbon fibers have excellent properties,including high strength,light weight,corrosion resistance,andhigh durability;therefore,they are widely used in various fields.Carbon fibers possess excellent electricalconductiv...Carbon fibers have excellent properties,including high strength,light weight,corrosion resistance,andhigh durability;therefore,they are widely used in various fields.Carbon fibers possess excellent electricalconductivity and electrochemical stability,and they can be used as electrode materials for functionalizedapplications in civil engineering.This study explores the evolution mechanism of the electrochemicalproperties of carbon fibers and carbon fiber composites used as anodes.This study further focuses onthe collaborative intervention technique of impressed current cathodic protection and structuralstrengthening(ICCP-SS)for reinforced concrete structures,as well as the non-destructive recycling of car-bon fibers based on their electrochemical evolution mechanism.This study aims to provide new ideas forthe functionalization of carbon fiber composites in civil engineering.展开更多
BACKGROUND:Hemiplegia,a prevalent stroke-related condition,is often studied for motor dysfunction;however,spasticity remains under-researched.Abnormal muscle tone significantly hinders hemiplegic patients’walking rec...BACKGROUND:Hemiplegia,a prevalent stroke-related condition,is often studied for motor dysfunction;however,spasticity remains under-researched.Abnormal muscle tone significantly hinders hemiplegic patients’walking recovery.OBJECTIVE:To determine whether early suspension-protected training with a personal assistant machine for stroke patients enhances walking ability and prevents muscle spasms.METHODS:Thirty-two early-stage stroke patients from Shenzhen University General Hospital and the China Rehabilitation Research Center were randomly assigned to the experimental group(n=16)and the control group(n=16).Both groups underwent 4 weeks of gait training under the suspension protection system for 30 minutes daily,5 days a week.The experimental group used the personal assistant machine during training.Three-dimensional gait analysis(using the Cortex motion capture system),Brunnstrom staging,Fugl-Meyer Assessment for lower limb motor function,Fugl-Meyer balance function,and the modified Ashworth Scale were evaluated within 1 week before the intervention and after 4 weeks of intervention.RESULTS AND CONCLUSION:After the 4-week intervention,all outcome measures showed significant changes in each group.The experimental group had a small but significant increase in the modified Ashworth Scale score(P<0.05,d=|0.15|),while the control group had a large significant increase(P<0.05,d=|1.48|).The experimental group demonstrated greater improvements in walking speed(16.5 to 38.44 cm/s,P<0.05,d=|4.01|),step frequency(46.44 to 64.94 steps/min,P<0.05,d=|2.32|),stride length(15.50 to 29.81 cm,P<0.05,d=|3.44|),and peak hip and knee flexion(d=|1.82|to|2.17|).After treatment,the experimental group showed significantly greater improvements than the control group in walking speed(38.44 vs.26.63 cm/s,P<0.05,d=|2.75|),stride length,peak hip and knee flexion(d=|1.31|to|1.45|),step frequency(64.94 vs.59.38 steps/min,P<0.05,d=|0.85|),and a reduced support phase(bilateral:24.31%vs.28.38%,P<0.05,d=|0.88|;non-paretic:66.19%vs.70.13%,P<0.05,d=|0.94|).For early hemiplegia,personal assistant machine-assisted gait training under the suspension protection system helps establish a correct gait pattern,prevents muscle spasms,and improves motor function.展开更多
The comprehensive pattern of the natural environment constitutes a complex system shaped by interactions among multiple natural elements,including geology,terrain,climate,hydrology,soil,and biodiversity.The regional s...The comprehensive pattern of the natural environment constitutes a complex system shaped by interactions among multiple natural elements,including geology,terrain,climate,hydrology,soil,and biodiversity.The regional structure that embodies this complexity is defined as the comprehensive natural terrestrial system.Consequently,this system provides an integrated perspective for understanding the overall characteristics of the natural environment and resources.Pakistan,with agriculture as its core economic sector,has a natural environment that is inherently linked to its topographic and climatic conditions.Its geographical environmental conditions are similar to those of China.Through analysis of Pakistan's geological,geomorphological,climatological,hydrological,and vegetation conditions,we adopted the methodology of China's comprehensive natural regionalization to establish a comprehensive natural terrestrial system scheme for Pakistan.Hierarchically,this scheme is divided into 3 major regions,5 temperature zones,8 humidity areas,and 23 natural regions.The scheme reveals the diversity of Pakistan's natural environment and its three-dimensional geographical zonality characteristics.Furthermore,this study analyzes the ecological advantages,constraints,and resource development potential of each regional unit and proposes targeted strategies for ecological conservation and socioeconomic development.The scheme provides a scientific basis for the sustainable socioeconomic development of Pakistan.展开更多
The rapid integration of photovoltaic(PV)generation and energy storage systems has significantly increased the operational complexity of low-voltage direct current(LVDC)distribution networks in zero-carbon parks.Under...The rapid integration of photovoltaic(PV)generation and energy storage systems has significantly increased the operational complexity of low-voltage direct current(LVDC)distribution networks in zero-carbon parks.Under highly variable operating conditions,conventional DC protection schemes relying on fixed overcurrent thresholds often suffer from maloperation or failure to trip,particularly during fluctuations in PV power,load switching,and changes in network topology.To address these challenges,this paper proposes an adaptive DC protection strategy based on an artificial neural network(ANN)-driven dynamic threshold optimization mechanism.The proposed method replaces static protection settings with an adaptive threshold that is continuously updated according to real-time system operating conditions.A dual-layer ANN architecture is developed to capture the nonlinear relationship between grid parameter variations and optimal protection thresholds.To enhance learning accuracy and convergence performance,the backpropagation neural network is further optimized using an improved grey wolf optimizer with a nonlinear convergence factor and mutation operator.The optimized ANN enables rapid and reliable threshold adjustment without relying on high-speed communication,making the scheme suitable for decentralized and edge-computing-based protection architectures.A comprehensive simulation platform for a PV-energy storage LVDC distribution system is established in MATLAB/Simulink to generate training and testing datasets under diverse scenarios,including variations in PV output,load shedding,different fault types,and measurement uncertainties.Simulation results demonstrate that the proposed adaptive protection strategy effectively eliminates threshold mismatch problems observed in fixed-setting methods.The results confirm that the proposed ANN-based adaptive protection strategy provides a robust,fast,and communication-independent solution for reliable protection of LVDC distribution networks with high penetration of renewable energy sources.展开更多
Magnesium(Mg)alloys have broad application prospects in transportation,biomedical engineering,and marine engineering owing to their low density,high specific strength,and excellent processing properties.However,their ...Magnesium(Mg)alloys have broad application prospects in transportation,biomedical engineering,and marine engineering owing to their low density,high specific strength,and excellent processing properties.However,their inherent susceptibility to corrosion and insufficient service stability urgently necessitate the development of advanced protective coating technologies.Functional hydrophobic and superhydrophobic coatings are designed by constructing special wetting interfaces that combine micro-anostructures with low-surface-energy materials.These coatings not only significantly delay the penetration of corrosive media but also integrate multiple functionalities,such as antibacterial activity,self-healing,anti-icing,antifouling,photocatalysis,and electrical conductivity,thereby realizing a transition from passive isolation to active protection.This review systematically summarizes the material systems,structural design strategies,protection mechanisms,representative fabrication methods,and recent progress in the application of functional hydrophobic/superhydrophobic coatings for Mg alloys.Particular attention is devoted to the synergistic relationships among surface roughness,porosity,surface energy,and durability,as well as to defect evolution and failure modes under multifield coupled environments.Addressing current bottlenecks,including the lack of fluorine-free alternatives,insufficient multifunctional integration,complex fabrication processes,and limited long-term service stability,the article highlights future research directions such as green alternative materials,multifunctional modular integration,bioinspired interface reinforcement,and intelligent responsive protection systems.Collectively,these insights provide theoretical foundations and technical pathways toward achieving long-term,reliable protection and advancing the practical engineering applications of hydrophobic/superhydrophobic coatings on Mg alloys under complex service environments.展开更多
With increasing artwork plagiarism incidents,the necessity of using digital watermarking technology for high-quality artwork copyright protection is evident.Current digital watermarking methods are limited in impercep...With increasing artwork plagiarism incidents,the necessity of using digital watermarking technology for high-quality artwork copyright protection is evident.Current digital watermarking methods are limited in imperceptibility and robustness.To address this,based on comprehensive copyright protection research,we develop a novel watermark framework named ArtFlow,using Invertible Neural Networks(INN).Our framework treats watermark embedding and recovery as inverse image transformations,implemented through forward and reverse processes of INN.To ensure high-quality watermark embedding,we utilize frequency domain transformations and attention mechanisms to guide the watermark into high-frequency areas of the image that have greater protective weighting.These areas are attractive to plagiarizers yet have minimal impact on the artistic integrity of the artwork itself.For strong plagiarism-resistant,we design a noise layer that includes various infringement methods—transmission,plagiarism action,and camera-shooting—to train robust watermark recovery process.Additionally,an image quality enhancement module is introduced to minimize the distortions that may arise from infringement before the watermark recovery.Experimental results across four datasets confirm that our ArtFlow surpasses existing advanced watermarking methods.展开更多
This paper addresses the protection-strategy-based distributed state estimation(SE)problem for time-varying nonlinear complex networks,where uncertain inner coupling and random false data injection attacks are conside...This paper addresses the protection-strategy-based distributed state estimation(SE)problem for time-varying nonlinear complex networks,where uncertain inner coupling and random false data injection attacks are considered.Owing to the fact that the measurement signals can be easily injected with false data by potential attackers before being transmitted to the estimator,a novel protection strategy is firstly proposed from the perspective of the defender to mitigate the effects of malicious attacks on the estimation performance.Based on the proposed protection strategy,more suspicious and unreliable measurements received are identified and discarded respectively.Accordingly,the zero-order holder strategy is employed to compensate for the discarded measurements.Subsequently,the purpose of this paper is to design a protection-strategy-based distributed SE scheme such that an optimized upper bound(UB)on the estimation error covariance(EEC)is obtained.Furthermore,a sufficient criterion is provided to guarantee the uniform boundedness of UB on the EEC.Finally,a localization problem involving multiple mobile robots is used to demonstrate the effectiveness and practicality of proposed variance-constrained optimized SE method.展开更多
This study presents a novel bionic thin-walled tube with a complex cross-section(BS),inspired by the protective thorns of the durian fruit,to enhance crashworthiness and impact protection.The spiky durian shell dissip...This study presents a novel bionic thin-walled tube with a complex cross-section(BS),inspired by the protective thorns of the durian fruit,to enhance crashworthiness and impact protection.The spiky durian shell dissipates impact energy and shields non-impact regions,motivating the biomimetic design.Quasi-static compression tests demonstrate that BS5 achieves a 9%higher Specific Energy Absorption(SEA)than Sinusoidal corrugated tubes(SIN)and 22%higher than Double Corrugated Tapered tubes(DT).The three BS configurations also exhibit 31-60%higher Crushing Force Efficiency(CFE)while reducing Undulation of Load-carrying Capacity(ULC)by 26-74%,resulting in smoother force-displacement responses.Bulkheads provide no advantage in axial energy absorption;in fact,BS5 without bulkhead achieves a 33%higher SEA.Structures with polygonal mid-sections show lower imperfection sensitivity than square ones,and when the side length-to-thickness ratio is preserved,larger-scale structures retain stable absorption efficiency,indicating potential for protective applications such as shelters.By integrating two antiprism units,BS5 delivers 45%higher SEA,71%higher CFE,and 35%lower ULC than a single antiprism tube.A calibrated linear elastic constitutive model accurately predicts crushing behavior under quasi-static loading.Unlike SIN and DT double-layer structures that collapse in thick-walled modes,deformation analysis reveals that double-layer BSs possess an optimal interlayer spacing to avoid such degeneration,exhibit a more complex plastic hinge evolution mechanism and higher energy absorption efficiency.Low-velocity drop-weight tests confirm superior impact resistance of BSs compared with SIN and DT,while high-velocity simulations reveal only a 21%increase in Initial Peak Crushing Force(IPCF)from 5 to 50 m/s,demonstrating robust dynamic performance.Overall,the durian-inspired BS tubes exhibit excellent crashworthiness and strong potential for advanced defense and engineering impact protection applications.展开更多
With the rapid development of new-generation information technologies such as big data, cloud computing, and the Internet of Things, ecological environmental protection is undergoing profound changes. This paper discu...With the rapid development of new-generation information technologies such as big data, cloud computing, and the Internet of Things, ecological environmental protection is undergoing profound changes. This paper discusses the connotation, current situation, challenges, and implementation paths of informatization construction of ecological environmental protection in the era of big data. Firstly, it analyzes the application value of big data technology in environmental monitoring, pollution source supervision, ecological assessment, emergency management, and other fields. Secondly, it sorts out the main progress and prominent problems of China’s ecological environment informatization construction. Then, it puts forward a systematic construction framework from four dimensions: data collection, platform construction, analysis and application, and institutional guarantee. Finally, it prospects the future trend of big data-driven ecological environmental governance. The research shows that the intelligent environmental protection system with data as the core driving force can significantly improve the refinement, scientization, and intelligence level of environmental management and provide strong support for realizing the modernization of harmonious coexistence between humans and nature.展开更多
The development of the digital economy has made data a critical production resource for enterprises.Against this backdrop,new forms of economic crimes have emerged,targeting data and utilizing technology as their tool...The development of the digital economy has made data a critical production resource for enterprises.Against this backdrop,new forms of economic crimes have emerged,targeting data and utilizing technology as their tool,resulting in severe violations of corporate data rights.Criminal law serves as the ultimate safeguard for various rights and plays a crucial role in protecting corporate data rights.However,overemphasizing data security measures may hinder data flow and technological innovation.Conversely,it would encourage criminal acts and harm the interests of the enterprise.Therefore,given the specific characteristics of emerging economic crimes,it is essential to clarify the appropriate level of constitutional protection for corporate data rights,analyze existing issues,and propose corresponding recommendations.This approach will ensure adequate protection of corporate data rights while facilitating data circulation and technological innovation,thereby enabling more effective responses to the challenges posed by these new types of economic crimes.展开更多
Protective hardware is essential for mitigating damage caused by unavoidable falls in humanoid robots.Despite notable progress in fall protection hardware,the theoretical foundation for modeling and the feasibility of...Protective hardware is essential for mitigating damage caused by unavoidable falls in humanoid robots.Despite notable progress in fall protection hardware,the theoretical foundation for modeling and the feasibility of conducting full-scale fall experiments on robots or their surrogates remain somewhat limited.This paper proposes a method for optimizing the thickness of Expandable Polyethylene(EPE),which is used as back protection for the Chubao humanoid robot,based on small-scale impact test data to predict full-scale behavior.The optimal thickness is defined as a balance between compact design and protective effectiveness.An equivalent impact model characterized by four parameters:contact area S,mass m,fall height h,and cushioning material thickness d is introduced to describe impact conditions.The relationship between the peak impact acceleration ap and material thickness d,which forms the core of the method and gives rise to the name AP-D,is analyzed through their plotted curves.After introducing three characteristic parameters and two correction fac-tors,the relationship among the aforementioned variables is derived.Subsequently,both the optimal thickness do and its corresponding peak impact acceleration aop are predicted via nonlinear and linear regression models.Finally,the accuracy and effectiveness of the theoretically derived optimal thickness are validated on both a dummy and the actual robot.With the cushioning material applied,the peak chest acceleration is reduced to 41.57g for the dummy and 32.08g for the robot.展开更多
The photoelectrochemical cathodic protection(PCP)performance of pure TiO2photoanode is significantly limited by its narrow light absorption range,rapid recombination of photogenerated electron-hole pairs,and ineffi...The photoelectrochemical cathodic protection(PCP)performance of pure TiO2photoanode is significantly limited by its narrow light absorption range,rapid recombination of photogenerated electron-hole pairs,and inefficient electron transfer.A novel TiO2/RGO(reduced graphene oxide)/CuInS2(T/G/Cu)photoanode based on TiO2nanotube arrays modified with RGO and CuInS2nanoparticles was developed to improve the corrosion resistance of HRB400 rebars.This ternary photoanode featuring heterojunction structures was synthesized through a combination of anodization,potentiostatic deposition,and successive ionic layer adsorption reaction.Comprehensive characterization techniques,including scanning electron microscope,transmission electron microscope,X-ray diffraction,and X-ray photoelectron spectroscopy,confirmed the uniform distribution of layered RGO and CuInS2nanoparticles on the surface of TiO2nanotubes,indicating the successful formation of n-n type heterostructures.Photoelectrochemical analyses,such as ultraviolet-visible diffuse reflectance spectrum,photoluminescence spectroscopy,electrochemical impedance spectroscopy,and Mott-Schottky,revealed that T/G/Cu n-n heterojunction films exhibited a reduced bandgap(2.87 eV),significantly suppressed photogenerated electron-hole recombination,and enhanced the charge transfer efficiency.Under visible light irradiation,T/G/Cu-2 exhibited a cathodic shift in potential to-0.78 V vs.SCE(saturated calomel electrode)and generated a photocurrent density of 20.0μA/cm2,demonstrating significantly enhanced PCP performance compared to the pure TiO2photoanode.The high electrical conductivity and large specific surface area of RGO,along with the built-in electric field within n-n heterostructure,enabling efficient electron migration and cathodic polarization of HRB400 rebar.展开更多
Hypervelocity rocket sled systems are critical for testing advanced military technologies,yet track damage at speeds exceeding Mach 5 remains a significant challenge for system reliability and performance.In this stud...Hypervelocity rocket sled systems are critical for testing advanced military technologies,yet track damage at speeds exceeding Mach 5 remains a significant challenge for system reliability and performance.In this study,we investigated the hypervelocity impact response and protection for highstrength U71 Mn or bainitic steel used in rocket sled tracks.Flyer plate impact experiments using a two-stage light-gas gun were conducted to study the hypervelocity collision response,followed by the microstructural characterization via optical microscope,scanning electron microscopy equipped with electron backscatter diffraction to reveal underlying damage mechanisms.Then,the calibrated thermalmechanical coupled finite element simulations using the Johnson-Cook constitutive model and MieGrüneisen equation of state were carried out.Results indicated that bainitic steel exhibits superior impact resistance with predominantly smooth scratch-dominated damage due to its higher ductility.In contrast,U71 Mn suffered significant material spallation and crack propagation arising from brittle fracture mechanisms.Zinc-rich epoxy primer coatings effectively mitigated stress concentration and temperature rise in the substrate at impacting velocities below 2.4 km/s,so as to suppress the microstructural damage such as adiabatic shear bands and dynamic recrystallization.However,coating protection diminished at ultra-high-speed impacts due to the coating failure.Dimensional analysis established quantitative relationships of the gouge damage size to projectile mass,impact velocity,and material yield strength.This study provides in-depth insights into damage mechanisms in hypervelocity rail systems,demonstrating that bainitic steel combined with protective coatings can significantly enhance impact resistance and system reliability,offering valuable guidance for the design and optimization of hypervelocity testing platforms.展开更多
基金supported by the National Natural Science Foundation of China(62025105,62222103,62401197,62301097,62401092,U24A20216)the Natural Science Foundation of Chongqing(CSTB2024NSCQ-MSX0375,CSTB2024NSCQMSX-0991)+2 种基金the China Postdoctoral Science Foundation(2024MD754042)the Exchange Project for Key Lab of Optical Fiber Sensing and Communications(Ministry of Education of China)(ZYGX2024K010)the Chongqing Municipal Education Commission(KJQN202400630).
摘要Conventional path protection algorithms in all-optical data center networks(DCNs)need a relatively long calculation time but with low efficiency.In this article,we propose a preset path recovery algorithm by combining machine learning and priority execution method.The former is to predict areas of frequent optical path failures in data centers,and the latter is to ensure accurate protection in those areas while reducing computation time and improving performance.Firstly,we construct a dataset using rules composed of topological edge relationships,failure time,failure frequency,packet loss rate,latency and service type.Then,based on the above dataset,SVM(support vector machine)algorithm is used to predict frequent failure areas.Finally,based on different prediction frequencies,priority construction is carried out to cluster the entire topology,and p-cycle(preconfigured protection cycle)is applied to each topology.Experiments show that the combination of SVM prediction and classification protection can significantly reduce the protection range of potential failure areas to reduce computation time while ensuring high accuracy,as compared with traditional optical path protection algorithms.
基金Supported by Central Government Funds for Local University Reform and Development(Talent Cultivation Program)(2020GSP16)the Heilongjiang Provincial College Student Innovation and Entrepreneurship Training Program Project(202510223002)the Postgraduate Innovation Research Project in Heilongjiang Bayi Agricultural University(YJSCX2025-KJQN66,YJSCX2025-XCZX84).
摘要Piceatannol(PIC)is a natural stilbene polyphenol found in various plants,which has pharmacological effects such as anti-tumor,anti-inflammatory,antiviral,liver protection,myocardial protection,and eye tissue protection.PIC can inhibit the proliferation of liver cancer cells and induce apoptosis and autophagy by activating the ULK1/Atg13 signaling pathway.PIC can reduce HBV inflammation by downregulating the Notch pathway.Through antioxidant,anti-inflammatory,and anti abnormal autophagy,PIC can relieve vomiting toxin induced liver injury.By inhibiting the HMGB1/TLR4/NF-κB pathway,PIC can protect myocardium.By activating the SIRT1/FOXO3a/BNIP3 pathway,PIC can protect corneal epithelial cells from oxidative damage.PIC can directly inhibit rotavirus and conduct antiviral biosynthesis.PIC has high safety,multi-target regulation,and good development prospects,but its molecular mechanism and clinical efficacy still need to be further studied.
基金financially supported by the National Natural Science Foundation of China(No.52175176)the Key Scientific and Technological Project of Henan Province(No.252102230031)+1 种基金the Doctoral Research Foundation of Zhengzhou University of Light Industry(No.2024BSJJ004)the Fund of Henan Key Laboratory of Superhard Abrasives and Grinding Equipment,Henan University of Technology(No.JDKFJJ2023002).
摘要Soft robots,owing to their ability to undergo continuous large deformations,hold significant promise in fields such as disaster rescue,scientific exploration,and medical healthcare.However,they are prone to damage under harsh working conditions,which can negatively impact their operational efficiency.The existing research on the protection of soft robots is very limited.In this study,inspired by the natural armor of the arapaima and the asymmetrical body surface structures of the cobra,a high-performance flexible protective system was designed using a coupled biomimetic approach.An electronic pressure testing machine was used to evaluate the flexibility and protective performance of the biomimetic protection system.The results indicated that the presence of the asymmetric structures can substantially enhance the protection performance of the biomimetic protection system without appreciably compromising its flexibility in the slightest.This is due to the reason that the frictional anisotropic effect of asymmetric structure has varying effects on the interlocking interaction between adjacent scales in bending and compression conditions.This study introduces a novel approach aiming at enhancing the protective performance of flexible protection systems,thus presenting potential applications in soft robotic systems.
基金financially supported by the National Natural Science Foundation of China(Nos.52401096,52201077,and 52403096)the Natural Science Foundation of Shandong Province(Nos.ZR2024QE462 and ZR2022QE191)+3 种基金project 24-4-4-zrjj-54-jch supported by Qingdao Natural Science FoundationResearch Start-up Fund of Qingdao University of Science and Technology(No.12030430010982)the Taishan Scholars Program(No.tsqn202312206)Youth Innovation Team of Shandong Province Higher Education Institutions(No.2023KJ308)。
摘要The efficient healing rate for self-healing anticorrosion coatings plays an essential role on resisting rapidly developed corrosion and providing sufficient protection properties.The anticorrosion poly(urethane-urea)(PU)coatings reinforced by mesoporous polydopamine modified Ti3C2TxMXene(MPDA/Ti3C2Tx)were constructed.MPDA/Ti3C2Txwas embedded to offer hierarchically interfacial interactions through microscopic hydrogen bonding in PU chains-PDA molecules,and mesoscopic engaging effects originated from PU matrix anchoring interface mesopores.Hydrogen and disulfide bonds are co-incorporated into PU for producing room-temperature self-healing ability.What's more,the photothermal conversion capability of MPDA/Ti3C2Txendows PU coating with greatly accelerated self-healing rate to resist corrosion expansion.The healed coating exhibited promising stability in simulated seawater after 47 d,proving the practicality and feasibility in protection application of marine facilities.
基金supported by a one-year research grant (2023) from ICA Israel (Jewish Colonization Association)a two-year grant (2023–2024) from Migal–Galilee Research Institute (Israel)
摘要Background Cotton charcoal rot disease,caused by Macrophomina phaseolina,is a major threat to cotton production in Israel and globally,leading to severe yield loss due to post-flowering plant collapse.Current management relies heavily on chemical fungicides.However,rising environmental concerns and fungicide resistance underscore the need for sustainable alternatives.This study evaluated novel clay-based formulations for the controlled release of azoxystrobin(AS).The approach aims to protect cotton during the sensitive early growth stages when pathogen penetration and colonization occur.Two types of clay carriers—bentonite(montmorillonite)and sepiolite—were tested for their ability to deliver AS effectively.Results While seedlings grown in the greenhouse showed minimal visible symptoms at the disease latent stage,quantitative real-time PCR analysis indicated that both formulations effectively suppressed root infection,reducing M.phaseolina DNA levels by 81%.In a full-season open-enclosure trial,bentonite-AS treatment exhibited reduced efficacy,possibly due to phytotoxicity at the tested concentration.In contrast,the sepiolite-AS treatment increased flower bud number by 87%and reduced pathogen infection by up to 92%at 68 days post-sowing,although these effects were not statistically significant due to high variability.At harvest,sepiolite-AS and bentonite alone increased shoot dry weight per plant by 129%and 128%,respectively,and reduced pathogen DNA levels by 63%and 69%,respectively.Conclusion Overall,although environmental variability led to statistical insignificance,the findings support the clay-AS approach,especially sepiolite,as an effective means to prevent early infection and reduce late-season disease outbreaks.This formulation holds promise for seed coating or sowing strip applications,offering a practical,eco-friendly approach that can be integrated with biological control to reduce chemical inputs across diverse cultivation systems.
基金supported by the National Key R&D Program of China(2022YFB3105100).
摘要The proliferation of diverse entities within distribution network has led to an increase in the scale and complexity of data asset interactions,exacerbating security risks,such as unauthorized access,data tampering,and forgery.In response to these challenges,this study introduces a novel framework that enhances the protection of data assets.It incorporates a multi-dimensional knowledge graph(MDKG)to refine access control and overcome current limitations by integrating a comprehensive set of data asset attributes,roles,policies,and permissions.This approach fosters the development of a nuanced and adaptable access-control mechanism.Furthermore,the framework integrates multiple topology(MTP)for holistic security risk detection,leveraging attention mechanisms,and cross-fusion to adapt to the dynamic data security landscape.Empirical evaluations affirm the effectiveness of MDKG-based access control,whereas comparative experiments demonstrate the superiority of the MTP-based security risk model over existing models.The framework was proven to be effective in countering security risks.This study provides innovative perspectives on data asset protection and establishes a solid foundation for the advancement of smart grid technology.
基金supported by grants from the National Key R&D Program of China(No.2022YFB3709100)。
摘要In this study,an integrated thermal protection system was formed by bonding the Carbon/Carbon(C/C) composite thermal insulation layer and carbon foam thermal insulation tile on an aluminum honeycomb sandwich panel according to the functions of each layer of materials,and the thermal–mechanical response was analyzed by experimental tests and numerical simulations.First,infrared lamp facility and arcjet wind tunnel tests were used to check the accuracy of the model and calculate the heat-shielding index.Then,using the aerodynamic heat flow and pressure of the vehicles re-entry process,the temperature field and thermal deformation of the thermal protection system were analyzed according to the thermal–mechanical coupling analysis,and its performance requirements as a vehicles shell were evaluated.Analysis show that the thermomechanical properties of each layer were mismatched due to thermal deformation,resulting in debonding at the interlayer interface,which was also observed in the experiment.In addition,a 1 mm gap in the insulation tile promotes the release of thermal stress and reduces interlayer disbonding.According to the multi-scale model,10 thermal cycles(corresponding to the flight process) were analyzed,and the failure and damage evolution process of C/C composites at the microscopic level were revealed.The results of thermal cycling show that the microscopic damage started from the interfacial debonding of the fiber/matrix and ended with the connection of the pores through crack propagation in the matrix.This study provides a solution for analyzing the thermal–mechanical response of a thermal protection system and a design solution for improving reusability.
基金the support provided by the Key-Area Research and Development Program of Guangdong Province(2019B111107002).
摘要Carbon fibers have excellent properties,including high strength,light weight,corrosion resistance,andhigh durability;therefore,they are widely used in various fields.Carbon fibers possess excellent electricalconductivity and electrochemical stability,and they can be used as electrode materials for functionalizedapplications in civil engineering.This study explores the evolution mechanism of the electrochemicalproperties of carbon fibers and carbon fiber composites used as anodes.This study further focuses onthe collaborative intervention technique of impressed current cathodic protection and structuralstrengthening(ICCP-SS)for reinforced concrete structures,as well as the non-destructive recycling of car-bon fibers based on their electrochemical evolution mechanism.This study aims to provide new ideas forthe functionalization of carbon fiber composites in civil engineering.
摘要BACKGROUND:Hemiplegia,a prevalent stroke-related condition,is often studied for motor dysfunction;however,spasticity remains under-researched.Abnormal muscle tone significantly hinders hemiplegic patients’walking recovery.OBJECTIVE:To determine whether early suspension-protected training with a personal assistant machine for stroke patients enhances walking ability and prevents muscle spasms.METHODS:Thirty-two early-stage stroke patients from Shenzhen University General Hospital and the China Rehabilitation Research Center were randomly assigned to the experimental group(n=16)and the control group(n=16).Both groups underwent 4 weeks of gait training under the suspension protection system for 30 minutes daily,5 days a week.The experimental group used the personal assistant machine during training.Three-dimensional gait analysis(using the Cortex motion capture system),Brunnstrom staging,Fugl-Meyer Assessment for lower limb motor function,Fugl-Meyer balance function,and the modified Ashworth Scale were evaluated within 1 week before the intervention and after 4 weeks of intervention.RESULTS AND CONCLUSION:After the 4-week intervention,all outcome measures showed significant changes in each group.The experimental group had a small but significant increase in the modified Ashworth Scale score(P<0.05,d=|0.15|),while the control group had a large significant increase(P<0.05,d=|1.48|).The experimental group demonstrated greater improvements in walking speed(16.5 to 38.44 cm/s,P<0.05,d=|4.01|),step frequency(46.44 to 64.94 steps/min,P<0.05,d=|2.32|),stride length(15.50 to 29.81 cm,P<0.05,d=|3.44|),and peak hip and knee flexion(d=|1.82|to|2.17|).After treatment,the experimental group showed significantly greater improvements than the control group in walking speed(38.44 vs.26.63 cm/s,P<0.05,d=|2.75|),stride length,peak hip and knee flexion(d=|1.31|to|1.45|),step frequency(64.94 vs.59.38 steps/min,P<0.05,d=|0.85|),and a reduced support phase(bilateral:24.31%vs.28.38%,P<0.05,d=|0.88|;non-paretic:66.19%vs.70.13%,P<0.05,d=|0.94|).For early hemiplegia,personal assistant machine-assisted gait training under the suspension protection system helps establish a correct gait pattern,prevents muscle spasms,and improves motor function.
基金The International Partnership Program of Chinese Academy of Sciences,No.046GJHZ2023071MI。
摘要The comprehensive pattern of the natural environment constitutes a complex system shaped by interactions among multiple natural elements,including geology,terrain,climate,hydrology,soil,and biodiversity.The regional structure that embodies this complexity is defined as the comprehensive natural terrestrial system.Consequently,this system provides an integrated perspective for understanding the overall characteristics of the natural environment and resources.Pakistan,with agriculture as its core economic sector,has a natural environment that is inherently linked to its topographic and climatic conditions.Its geographical environmental conditions are similar to those of China.Through analysis of Pakistan's geological,geomorphological,climatological,hydrological,and vegetation conditions,we adopted the methodology of China's comprehensive natural regionalization to establish a comprehensive natural terrestrial system scheme for Pakistan.Hierarchically,this scheme is divided into 3 major regions,5 temperature zones,8 humidity areas,and 23 natural regions.The scheme reveals the diversity of Pakistan's natural environment and its three-dimensional geographical zonality characteristics.Furthermore,this study analyzes the ecological advantages,constraints,and resource development potential of each regional unit and proposes targeted strategies for ecological conservation and socioeconomic development.The scheme provides a scientific basis for the sustainable socioeconomic development of Pakistan.
基金supported by the Key Science and Technology Project of China Southern Power Grid Co.,Ltd.(GZKJXM20232507).
摘要The rapid integration of photovoltaic(PV)generation and energy storage systems has significantly increased the operational complexity of low-voltage direct current(LVDC)distribution networks in zero-carbon parks.Under highly variable operating conditions,conventional DC protection schemes relying on fixed overcurrent thresholds often suffer from maloperation or failure to trip,particularly during fluctuations in PV power,load switching,and changes in network topology.To address these challenges,this paper proposes an adaptive DC protection strategy based on an artificial neural network(ANN)-driven dynamic threshold optimization mechanism.The proposed method replaces static protection settings with an adaptive threshold that is continuously updated according to real-time system operating conditions.A dual-layer ANN architecture is developed to capture the nonlinear relationship between grid parameter variations and optimal protection thresholds.To enhance learning accuracy and convergence performance,the backpropagation neural network is further optimized using an improved grey wolf optimizer with a nonlinear convergence factor and mutation operator.The optimized ANN enables rapid and reliable threshold adjustment without relying on high-speed communication,making the scheme suitable for decentralized and edge-computing-based protection architectures.A comprehensive simulation platform for a PV-energy storage LVDC distribution system is established in MATLAB/Simulink to generate training and testing datasets under diverse scenarios,including variations in PV output,load shedding,different fault types,and measurement uncertainties.Simulation results demonstrate that the proposed adaptive protection strategy effectively eliminates threshold mismatch problems observed in fixed-setting methods.The results confirm that the proposed ANN-based adaptive protection strategy provides a robust,fast,and communication-independent solution for reliable protection of LVDC distribution networks with high penetration of renewable energy sources.
基金supported by the National Natural Science Foundation of China(No.52461013,No.52471117).
摘要Magnesium(Mg)alloys have broad application prospects in transportation,biomedical engineering,and marine engineering owing to their low density,high specific strength,and excellent processing properties.However,their inherent susceptibility to corrosion and insufficient service stability urgently necessitate the development of advanced protective coating technologies.Functional hydrophobic and superhydrophobic coatings are designed by constructing special wetting interfaces that combine micro-anostructures with low-surface-energy materials.These coatings not only significantly delay the penetration of corrosive media but also integrate multiple functionalities,such as antibacterial activity,self-healing,anti-icing,antifouling,photocatalysis,and electrical conductivity,thereby realizing a transition from passive isolation to active protection.This review systematically summarizes the material systems,structural design strategies,protection mechanisms,representative fabrication methods,and recent progress in the application of functional hydrophobic/superhydrophobic coatings for Mg alloys.Particular attention is devoted to the synergistic relationships among surface roughness,porosity,surface energy,and durability,as well as to defect evolution and failure modes under multifield coupled environments.Addressing current bottlenecks,including the lack of fluorine-free alternatives,insufficient multifunctional integration,complex fabrication processes,and limited long-term service stability,the article highlights future research directions such as green alternative materials,multifunctional modular integration,bioinspired interface reinforcement,and intelligent responsive protection systems.Collectively,these insights provide theoretical foundations and technical pathways toward achieving long-term,reliable protection and advancing the practical engineering applications of hydrophobic/superhydrophobic coatings on Mg alloys under complex service environments.
基金supported in part by the National Natural Science Foundation of China under Grants 62172155,62402171,62402505 and 62472434in part by the Science and Technology Innovation Program of Hunan Province under Grant 2022RC3061.
摘要With increasing artwork plagiarism incidents,the necessity of using digital watermarking technology for high-quality artwork copyright protection is evident.Current digital watermarking methods are limited in imperceptibility and robustness.To address this,based on comprehensive copyright protection research,we develop a novel watermark framework named ArtFlow,using Invertible Neural Networks(INN).Our framework treats watermark embedding and recovery as inverse image transformations,implemented through forward and reverse processes of INN.To ensure high-quality watermark embedding,we utilize frequency domain transformations and attention mechanisms to guide the watermark into high-frequency areas of the image that have greater protective weighting.These areas are attractive to plagiarizers yet have minimal impact on the artistic integrity of the artwork itself.For strong plagiarism-resistant,we design a noise layer that includes various infringement methods—transmission,plagiarism action,and camera-shooting—to train robust watermark recovery process.Additionally,an image quality enhancement module is introduced to minimize the distortions that may arise from infringement before the watermark recovery.Experimental results across four datasets confirm that our ArtFlow surpasses existing advanced watermarking methods.
基金supported in part by the National Natural Science Foundation of China(12171124,12471416)the Natural Science Foundation of Heilongjiang Province of China(PL2024F015)+2 种基金the MCIN/AEI/10.13039/501100011033“ERDF a Way of Making Europe”(PID2021-124486NB-I00)the Alexander von Humboldt Foundation of Germany。
摘要This paper addresses the protection-strategy-based distributed state estimation(SE)problem for time-varying nonlinear complex networks,where uncertain inner coupling and random false data injection attacks are considered.Owing to the fact that the measurement signals can be easily injected with false data by potential attackers before being transmitted to the estimator,a novel protection strategy is firstly proposed from the perspective of the defender to mitigate the effects of malicious attacks on the estimation performance.Based on the proposed protection strategy,more suspicious and unreliable measurements received are identified and discarded respectively.Accordingly,the zero-order holder strategy is employed to compensate for the discarded measurements.Subsequently,the purpose of this paper is to design a protection-strategy-based distributed SE scheme such that an optimized upper bound(UB)on the estimation error covariance(EEC)is obtained.Furthermore,a sufficient criterion is provided to guarantee the uniform boundedness of UB on the EEC.Finally,a localization problem involving multiple mobile robots is used to demonstrate the effectiveness and practicality of proposed variance-constrained optimized SE method.
基金support from Foundation of State Key Laboratory of Transient Physics(6142606241202).
摘要This study presents a novel bionic thin-walled tube with a complex cross-section(BS),inspired by the protective thorns of the durian fruit,to enhance crashworthiness and impact protection.The spiky durian shell dissipates impact energy and shields non-impact regions,motivating the biomimetic design.Quasi-static compression tests demonstrate that BS5 achieves a 9%higher Specific Energy Absorption(SEA)than Sinusoidal corrugated tubes(SIN)and 22%higher than Double Corrugated Tapered tubes(DT).The three BS configurations also exhibit 31-60%higher Crushing Force Efficiency(CFE)while reducing Undulation of Load-carrying Capacity(ULC)by 26-74%,resulting in smoother force-displacement responses.Bulkheads provide no advantage in axial energy absorption;in fact,BS5 without bulkhead achieves a 33%higher SEA.Structures with polygonal mid-sections show lower imperfection sensitivity than square ones,and when the side length-to-thickness ratio is preserved,larger-scale structures retain stable absorption efficiency,indicating potential for protective applications such as shelters.By integrating two antiprism units,BS5 delivers 45%higher SEA,71%higher CFE,and 35%lower ULC than a single antiprism tube.A calibrated linear elastic constitutive model accurately predicts crushing behavior under quasi-static loading.Unlike SIN and DT double-layer structures that collapse in thick-walled modes,deformation analysis reveals that double-layer BSs possess an optimal interlayer spacing to avoid such degeneration,exhibit a more complex plastic hinge evolution mechanism and higher energy absorption efficiency.Low-velocity drop-weight tests confirm superior impact resistance of BSs compared with SIN and DT,while high-velocity simulations reveal only a 21%increase in Initial Peak Crushing Force(IPCF)from 5 to 50 m/s,demonstrating robust dynamic performance.Overall,the durian-inspired BS tubes exhibit excellent crashworthiness and strong potential for advanced defense and engineering impact protection applications.
摘要With the rapid development of new-generation information technologies such as big data, cloud computing, and the Internet of Things, ecological environmental protection is undergoing profound changes. This paper discusses the connotation, current situation, challenges, and implementation paths of informatization construction of ecological environmental protection in the era of big data. Firstly, it analyzes the application value of big data technology in environmental monitoring, pollution source supervision, ecological assessment, emergency management, and other fields. Secondly, it sorts out the main progress and prominent problems of China’s ecological environment informatization construction. Then, it puts forward a systematic construction framework from four dimensions: data collection, platform construction, analysis and application, and institutional guarantee. Finally, it prospects the future trend of big data-driven ecological environmental governance. The research shows that the intelligent environmental protection system with data as the core driving force can significantly improve the refinement, scientization, and intelligence level of environmental management and provide strong support for realizing the modernization of harmonious coexistence between humans and nature.
摘要The development of the digital economy has made data a critical production resource for enterprises.Against this backdrop,new forms of economic crimes have emerged,targeting data and utilizing technology as their tool,resulting in severe violations of corporate data rights.Criminal law serves as the ultimate safeguard for various rights and plays a crucial role in protecting corporate data rights.However,overemphasizing data security measures may hinder data flow and technological innovation.Conversely,it would encourage criminal acts and harm the interests of the enterprise.Therefore,given the specific characteristics of emerging economic crimes,it is essential to clarify the appropriate level of constitutional protection for corporate data rights,analyze existing issues,and propose corresponding recommendations.This approach will ensure adequate protection of corporate data rights while facilitating data circulation and technological innovation,thereby enabling more effective responses to the challenges posed by these new types of economic crimes.
基金Natural Science Foundation of Beijing Municipality under Grant L243004the National Natural Science Foundation of China under Grant 62403060.
摘要Protective hardware is essential for mitigating damage caused by unavoidable falls in humanoid robots.Despite notable progress in fall protection hardware,the theoretical foundation for modeling and the feasibility of conducting full-scale fall experiments on robots or their surrogates remain somewhat limited.This paper proposes a method for optimizing the thickness of Expandable Polyethylene(EPE),which is used as back protection for the Chubao humanoid robot,based on small-scale impact test data to predict full-scale behavior.The optimal thickness is defined as a balance between compact design and protective effectiveness.An equivalent impact model characterized by four parameters:contact area S,mass m,fall height h,and cushioning material thickness d is introduced to describe impact conditions.The relationship between the peak impact acceleration ap and material thickness d,which forms the core of the method and gives rise to the name AP-D,is analyzed through their plotted curves.After introducing three characteristic parameters and two correction fac-tors,the relationship among the aforementioned variables is derived.Subsequently,both the optimal thickness do and its corresponding peak impact acceleration aop are predicted via nonlinear and linear regression models.Finally,the accuracy and effectiveness of the theoretically derived optimal thickness are validated on both a dummy and the actual robot.With the cushioning material applied,the peak chest acceleration is reduced to 41.57g for the dummy and 32.08g for the robot.
基金supported by the Fujian Provincial Natural Science Foundation(Grant No.2025J01474)the China Postdoctoral Science Foundation(Grant No.2025M770878)+6 种基金the Opening Project of the Collaborative Innovation Center for Clean Energy Application Technology(Grant No.QJNY22-02)Building Environment Engineering Technology Research Center in Dazhou(Sichuan University of Arts and Sciences,Grant No.SDJ2025ZB-05)Shandong Provincial Key Laboratory of Monocrystalline Silicon Semiconductor Materials and Technology(Grant No.2023KFKT011)Material Corrosion and Protection Key Laboratory of Sichuan province(Grant No.2023CL19)Key Laboratory of Laser Technology and Optoelectronic Functional Materials of Hainan Province(Grant No.2024LTOM02)Fujian Key Laboratory of Surface and Interface Engineering for High Performance Materials(Xiamen University,Grant No.MGFJ2302)Xiamen Key Laboratory of High Performance Metals and Materials(Xiamen University,Grant No.HPMM2302).
摘要The photoelectrochemical cathodic protection(PCP)performance of pure TiO2photoanode is significantly limited by its narrow light absorption range,rapid recombination of photogenerated electron-hole pairs,and inefficient electron transfer.A novel TiO2/RGO(reduced graphene oxide)/CuInS2(T/G/Cu)photoanode based on TiO2nanotube arrays modified with RGO and CuInS2nanoparticles was developed to improve the corrosion resistance of HRB400 rebars.This ternary photoanode featuring heterojunction structures was synthesized through a combination of anodization,potentiostatic deposition,and successive ionic layer adsorption reaction.Comprehensive characterization techniques,including scanning electron microscope,transmission electron microscope,X-ray diffraction,and X-ray photoelectron spectroscopy,confirmed the uniform distribution of layered RGO and CuInS2nanoparticles on the surface of TiO2nanotubes,indicating the successful formation of n-n type heterostructures.Photoelectrochemical analyses,such as ultraviolet-visible diffuse reflectance spectrum,photoluminescence spectroscopy,electrochemical impedance spectroscopy,and Mott-Schottky,revealed that T/G/Cu n-n heterojunction films exhibited a reduced bandgap(2.87 eV),significantly suppressed photogenerated electron-hole recombination,and enhanced the charge transfer efficiency.Under visible light irradiation,T/G/Cu-2 exhibited a cathodic shift in potential to-0.78 V vs.SCE(saturated calomel electrode)and generated a photocurrent density of 20.0μA/cm2,demonstrating significantly enhanced PCP performance compared to the pure TiO2photoanode.The high electrical conductivity and large specific surface area of RGO,along with the built-in electric field within n-n heterostructure,enabling efficient electron migration and cathodic polarization of HRB400 rebar.
基金financial support from the National Key Research and Development Program(Grant No.2024YFA1209801)the National Natural Science Foundation of China(Grant Nos.12302140,12325204)+4 种基金the China Postdoctoral Science Foundation(Grant No.2023M732794)the Fundamental Research Funds for the Central Universities of China(Grant No.sxzy012023213)the Scientific Research Program of Shaanxi Province(Grant No.2023JC-XJ-02)the Young Talent Support Program of Xi'an Science and Technology Association(Grant No.959202413069)Postdoctoral Fellowship Program(Grade B)of China Postdoctoral Science Foundation(Grant No.GZB20230575)。
摘要Hypervelocity rocket sled systems are critical for testing advanced military technologies,yet track damage at speeds exceeding Mach 5 remains a significant challenge for system reliability and performance.In this study,we investigated the hypervelocity impact response and protection for highstrength U71 Mn or bainitic steel used in rocket sled tracks.Flyer plate impact experiments using a two-stage light-gas gun were conducted to study the hypervelocity collision response,followed by the microstructural characterization via optical microscope,scanning electron microscopy equipped with electron backscatter diffraction to reveal underlying damage mechanisms.Then,the calibrated thermalmechanical coupled finite element simulations using the Johnson-Cook constitutive model and MieGrüneisen equation of state were carried out.Results indicated that bainitic steel exhibits superior impact resistance with predominantly smooth scratch-dominated damage due to its higher ductility.In contrast,U71 Mn suffered significant material spallation and crack propagation arising from brittle fracture mechanisms.Zinc-rich epoxy primer coatings effectively mitigated stress concentration and temperature rise in the substrate at impacting velocities below 2.4 km/s,so as to suppress the microstructural damage such as adiabatic shear bands and dynamic recrystallization.However,coating protection diminished at ultra-high-speed impacts due to the coating failure.Dimensional analysis established quantitative relationships of the gouge damage size to projectile mass,impact velocity,and material yield strength.This study provides in-depth insights into damage mechanisms in hypervelocity rail systems,demonstrating that bainitic steel combined with protective coatings can significantly enhance impact resistance and system reliability,offering valuable guidance for the design and optimization of hypervelocity testing platforms.