The limited high-temperature oxidation resistance of Mg alloys is a key factor restricting their development and application.The addition of some rare earth elements(REs),owing to their unique physical and chemical pr...The limited high-temperature oxidation resistance of Mg alloys is a key factor restricting their development and application.The addition of some rare earth elements(REs),owing to their unique physical and chemical properties,can significantly enhance the oxidation resistance of Mg alloys.Based on our previous study,we conclude that REs such as Gd,Y,and Ce enhance the oxidation resistance of Mg-RE alloys.This article comprehensively reviews recent research progress on high-temperature oxidation behavior and the potential mechanism in Mg-RE alloys.Based on the thermodynamic and kinetic analyses,the evolution of the complex oxide system formed during the high-temperature oxidation of Mg-RE alloys is first summarized.The diffusion behavior and concentration control mechanisms of REs during the oxidation process and how these mechanisms affect the sustained growth of the oxide film and antioxidant properties were elucidated.Moreover,the different structures of the oxide films were classified,and their properties were discussed.Finally,this paper introduces the applications of commonly used REs in Mg alloys and frontier research on their oxidation mechanisms.Based on the above review,we propose that future research perspectives can be explored in terms of expanding the experimental temperature range for oxidation tests,optimizing the chemical composition by adding trace REs to study their synergistic mechanism,revealing the underlying oxidation mechanism through advanced in situ microscopic characterization methods,and investigating the mechanical properties of oxide films using diverse approaches.展开更多
With the increasing popularity of blockchain applications, the security of data sources on the blockchain is gradually receiving attention. Providing reliable data for the blockchain safely and efficiently has become ...With the increasing popularity of blockchain applications, the security of data sources on the blockchain is gradually receiving attention. Providing reliable data for the blockchain safely and efficiently has become a research hotspot, and the security of the oracle responsible for providing reliable data has attracted much attention. The most widely used centralized oracles in blockchain, such as Provable and Town Crier, all rely on a single oracle to obtain data, which suffers from a single point of failure and limits the large-scale development of blockchain. To this end, the distributed oracle scheme is put forward, but the existing distributed oracle schemes such as Chainlink and Augur generally have low execution efficiency and high communication overhead, which leads to their poor applicability. To solve the above problems, this paper proposes a trusted distributed oracle scheme based on a share recovery threshold signature. First, a data verification method of distributed oracles is designed based on threshold signature. By aggregating the signatures of oracles, data from different data sources can be mutually verified, leading to a more efficient data verification and aggregation process. Then, a credibility-based cluster head election algorithm is designed, which reduces the communication overhead by clarifying the function distribution and building a hierarchical structure. Considering the good performance of the BLS threshold signature in large-scale applications, this paper combines it with distributed oracle technology and proposes a BLS threshold signature algorithm that supports share recovery in distributed oracles. The share recovery mechanism enables the proposed scheme to solve the key loss issue, and the setting of the threshold value enables the proposed scheme to complete signature aggregation with only a threshold number of oracles, making the scheme more robust. Finally, experimental results indicate that, by using the threshold signature technology and the cluster head election algorithm, our scheme effectively improves the execution efficiency of oracles and solves the problem of a single point of failure, leading to higher scalability and robustness.展开更多
Punicalagin has been demonstrated to exhibit anti-oxidant and anti-inflammatory properties,but whether and how it could impact hypercholesterolemia remains not fully explored.The aim of this study was to investigate t...Punicalagin has been demonstrated to exhibit anti-oxidant and anti-inflammatory properties,but whether and how it could impact hypercholesterolemia remains not fully explored.The aim of this study was to investigate the influence of punicalagin on hypercholesterolemia in mice and its related mechanisms.After 6 weeks'intervention,punicalagin significantly reduced serum total cholesterol and low-density lipoprotein cholesterol(LDL-C)levels in mice fed a high-fat high-cholesterol(HFHC)diet.Meanwhile,punicalagin supplementation lowered hepatic cholesterol level,which corresponded to the down-regulation of cholesterol synthesis genes(Fdps,Cyp51)and up-regulated bile acid synthesis genes(Cyp7a1,Cyp27a1).In addition,bile acid reabsorption was retarded in punicalagin-fed mice through down-regulating ileal apical sodium-dependent BA transporter(ASBT).Furthermore,intestinal farnesoid X receptor(FXR)-fibroblast growth factor 15(Fgf15)pathway was inhibited while hepatic FXR-small heterodimeric partner(SHP)pathway was activated in punicalagin group.Microbiota analysis and targeted metabolomics showed that punicalagin decreased the abundance of bile-salt hydrolase(BSH)-producing bacteria(Clostridiaceae and Bifidobacteriaceae)and the ratio of primary BAs to secondary BAs.In conclusion,the cholesterol-lowering effect of punicalagin partly through down-regulating cholesterol synthesis and increasing cholesterol catabolism,which could be achieved by regulating gut microbiota,altering bile acid composition and modulating FXR signaling pathway.These findings indicate the potential application of punicalagin-related products as an alternative strategy for hypercholesterolemia prevention and mitigation.展开更多
Background:Terpinen-4-ol(T4O),a key constituent of tea tree essential oil and various aromatic plants,has shown promising antiproliferative and pro-apoptotic effects in melanoma and other cancer types.However,its effi...Background:Terpinen-4-ol(T4O),a key constituent of tea tree essential oil and various aromatic plants,has shown promising antiproliferative and pro-apoptotic effects in melanoma and other cancer types.However,its efficacy against cutaneous squamous cell carcinoma(cSCC)remains unclear.Thus,in this study,we investigated the in vivo and in vitro effects of T4O on cSCC cell lines and preliminarily explored its impacting pathways.Methods:Using CCK8 and assay colony formation,we assessed the viability of cSCC A431,SCL-1,and COLO-16 cells treated with T40 at varying concentrations(0,1,2,and 4μM).Flow cytometry was employed to evaluate T4O’s effect on cSCC cell’s cycle progression and apoptosis induction.Additionally,western blotting was utilized to examine the expression intensities of N-cadherin and E-cadherin,two indicative markers of the epithelial-mesenchymal transition(EMT)pathway.T4O’s in vivo effect on inhibiting tumor progression was evaluated on an established xenograft tumor model.Then,the molecular mechanisms of T4O’s antitumor effect were explored by an integrated genome-wide transcriptomics and proteomics study on cSCC A431c cells.Finally,calpain-2’s potential mediator role in T4O’s anti-tumor mechanism was investigated in calpain-2 knockdown cell lines prepared via siRNA transfection.Result:It’s demonstrated that T4O treatment inhibited cSCC proliferation,clonogenicity,migration,and invasion while inducing apoptosis and suppressing the EMT pathway.T4O administration also inhibited cSCC tumorigenesis in the xenograft tumor model.RNA-sequencing and iTRAQ analysis detected significant upregulation of calpain-2 expression in T4O-treated cSCC cells.Western blotting confirmed that T4O significantly increased calpain-2 expression and promoted proteolytic cleavage ofβ-catenin and caspase-12,two calpain-2 target proteins.Importantly,siRNA-mediated calpain-2 knockdown relieved T4O’s suppressive effect on cSCC cell proliferation and motility.Mechanistically,T4O upregulates calpain-2 expression and promotes the cleavage ofβ-catenin and caspase-12,with siRNA-mediated calpain-2 knockdown mitigating T4O’s suppressive effects.Conclusion:These findings suggest that T4O’s antitumor activity in cSCC is mediated through the upregulation of calpain-2 expression and subsequent modulation ofβ-catenin and caspase-12.展开更多
In order to ensure food safety,controlling foodborne pathogen contamination is of utmost importance.Growing apprehensions regarding the safety of synthetic antimicrobials,due to their adverse health effects,have promp...In order to ensure food safety,controlling foodborne pathogen contamination is of utmost importance.Growing apprehensions regarding the safety of synthetic antimicrobials,due to their adverse health effects,have prompted a search for alternative options.Plant natural products(PNPs)with antimicrobial activity are being explored as a viable alternative.Among the various antimicrobial natural products studied,plant essential oils,plant flavonoids,plant polyphenols,plant polysaccharides,and plant antimicrobial peptides have been identified as potential candidates.PNPs demonstrate a diverse array of antimicrobial mechanisms,encompassing cell wall and membrane damage,interference with genetic replication,disruption of energy metabolism,and induction of oxidative stress at the single-cell level,as well as inhibition of biofilm formation and quorum sensing at the population level.Certain PNPs have been harnessed as natural antimicrobial agents for the food preservation.The utilization of encapsulation technology proves to be an effective strategy in protecting PNPs,thereby ensuring good antimicrobial efficacy,enhanced dispersibility,and controlled release within food products.The utilization of nanoemulsions,nanoliposomes,edible packaging,electrospun nanofibers,and microcapsules formed by encapsulation has enriched the ways in which PNPs can be applied in food preservation.Although PNPs have great potential in food preservation,their widespread application in the food industry is currently constrained by factors such as production costs,safety concerns,and legal considerations.Chemical synthesis and biosynthesis pathways offer viable strategies for reducing the cost of producing PNPs,and ongoing efforts to assess safety and improve regulatory frameworks are likely to facilitate the broader adoption of PNPs in food preservation practices.This article provides an overview of the main types of PNPs with antimicrobial activity and their properties,focusing on their mechanisms of action.Additionally,it summarizes the use of PNPs in food preservation and discusses the characteristics and applications of different encapsulation technologies.Lastly,the paper briefly analyzes current limitations and proposes potential future trends for this field.展开更多
Abuse of amphetamine-based stimulants is a primary public health concern.Recent studies have underscored a troubling escalation in the inappropriate use of prescription amphetamine-based stimulants.However,the neuroph...Abuse of amphetamine-based stimulants is a primary public health concern.Recent studies have underscored a troubling escalation in the inappropriate use of prescription amphetamine-based stimulants.However,the neurophysiological mechanisms underlying the impact of acute methamphetamine exposure(AME)on sleep homeostasis remain to be explored.This study employed non-human primates and electroencephalogram(EEG)sleep staging to evaluate the influence of AME on neural oscillations.The primary focus was on alterations in spindles,delta oscillations,and slow oscillations(SOs)and their interactions as conduits through which AME influences sleep stability.AME predominantly diminishes sleep-spindle waves in the non-rapid eye movement 2(NREM2)stage,and impacts SOs and delta waves differentially.Furthermore,the competitive relationships between SO/delta waves nesting with sleep spindles were selectively strengthened by methamphetamine.Complexity analysis also revealed that the SO-nested spindles had lost their ability to maintain sleep depth and stability.In summary,this finding could be one of the intrinsic electrophysiological mechanisms by which AME disrupted sleep homeostasis.展开更多
NASICON-type vanadium fluorophosphate is a promising cathode for sodium-ion batteries.Yet,the thermally-driven loss of undercoordinated dangling fluorine anions weakens its structural stability,which triggers severe f...NASICON-type vanadium fluorophosphate is a promising cathode for sodium-ion batteries.Yet,the thermally-driven loss of undercoordinated dangling fluorine anions weakens its structural stability,which triggers severe framework distortion from interconnected double-octahedral to isolated local octahedral units,as well as a degeneracy of t_(2g) electronic configuration of vanadium(V)3d orbit.In this work,it is clarified that such a degenerate state undergoes spontaneous lattice evolution to reduce the system energy,which causes a low crystalline symmetry and a parasitic V^(4+)/V^(3+)redox reaction in the low-voltage region.Herein,an anion-coordination regulation strategy is developed to suppress this degeneration by anchoring fluorine anions in the double-octahedral[V_(2)O_(8)F_(3)]framework.Density functional theory calculations and in-situ techniques track the F-anion-driven structural evolution and charge compensation mechanisms,revealing that this strategy mitigates detrimental phase segregation during the initial desodiation stage and enhances the Na^(+)diffusion kinetic rate over a factor of 100.Concurrently,this strategy releases the V^(4+)/V^(3+)redox kinetics by eliminating the parasitic low-voltage plateau.The full-cell assembled with the optimized fluorophosphate cathode delivers an increase of 50%in discharge capacity and stable two-voltage-plateau behavior,enabled by its double-octahedral[V_(2)O_(8)F_(3)]polyanionic structure that facilitates unimpeded three-dimensional(3D)Na^(+)transport.By correlating anion-coordination stability with orbital-level charge compensation,this work establishes a universal paradigm for highperformance polyanionic cathodes,positioning it as a competitive candidate for battery applications.展开更多
To address the limitations of existing abnormal traffic detection methods,such as insufficient temporal and spatial feature extraction,high false positive rate(FPR),poor generalization,and class imbalance,this study p...To address the limitations of existing abnormal traffic detection methods,such as insufficient temporal and spatial feature extraction,high false positive rate(FPR),poor generalization,and class imbalance,this study proposed an intelligent detection method that combines a Stacked Convolutional Network(SCN),Bidirectional Long Short-Term Memory(BiLSTM)network,and Equalization Loss v2(EQL v2).This method was divided into two components:a feature extraction model and a classification and detection model.First,SCN was constructed by combining a Convolutional Neural Network(CNN)with a Depthwise Separable Convolution(DSC)network to capture the abstract spatial features of traffic data.These features were then input into the BiLSTM to capture temporal dependencies.An attention mechanism was incorporated after SCN and BiLSTM to enhance the extraction of key spatiotemporal features.To address class imbalance,the classification detection model applied EQL v2 to adjust the weights of the minority classes,ensuring that they received equal focus during training.The experimental results indicated that the proposed method outperformed the existing methods in terms of accuracy,FPR,and F1-score and significantly improved the identification rate of minority classes.展开更多
Background Pigs fed diets with different ingredients but identical nutritional levels show significant differences in growth performance,indicating that growth may also be influenced by the synchronicity of dietary ca...Background Pigs fed diets with different ingredients but identical nutritional levels show significant differences in growth performance,indicating that growth may also be influenced by the synchronicity of dietary carbon and nitrogen supply.Therefore,this study aimed to determine glucose release kinetics of various feed ingredients,to investigate a glucose release pattern that is conducive to synchronized carbon–nitrogen supply,and to elucidate the underlying mechanisms by which this synchronization optimizes growth of pigs.Results We analyzed the glucose release kinetics of 23 feed ingredients in vitro and found that their glucose release rates and amounts varied greatly.Based on this,a nitrogen-free diet and 5 purified diets,which represented the observed variations in glucose release rates and quantities among feed ingredients,were designed for 18 ileal-cannulated pigs.The results demonstrated that slower glucose release pattern could disrupt the synchrony of dietary carbon and nitrogen supply,reducing the growth of pigs and increasing nitrogen losses.Specifically,the diet with slower and moderate amounts of glucose release showed a relatively slower release of amino acids.Pigs fed this diet had the lower amino acid digestibility and the enrichment of harmful bacteria,such as Streptococcus,in the terminal ileum.Conversely,the diets with slower and lower glucose release exhibited a relatively rapid release of amino acids but also resulted in poor growth.They increased glucogenic amino acid digestibility and potentially enriched bacteria involved in nitrogen cycling and carbon metabolism.Notably,only the diet with rapid glucose release achieved synchronized and rapid release of nutrients.Pigs fed this diet exhibited higher amino acid digestibility,decreased harmful bacteria enrichment,improved nutrient utilization,and enhanced short-term growth performance.Conclusions Our research analyzed significant differences in glucose release kinetics among swine feed ingredients and revealed that slow glucose release disrupted dietary carbon–nitrogen supply synchrony,shifting amino acid utilization and enriching pathogens,negatively impacting growth and nutrient utilization.Consequently,choosing feed ingredients releasing glucose at a rapid rate to balance dietary carbon and nitrogen supply helps promote pig growth,and ensures efficient feed utilization.展开更多
The novel structural reliability methodology presented in this study is especially well suited for multidimensional structural dynamics that are physically measured or numerically simulated over a representative timel...The novel structural reliability methodology presented in this study is especially well suited for multidimensional structural dynamics that are physically measured or numerically simulated over a representative timelapse.The Gaidai multivariate reliability method is applied to an operational offshore Jacket platform that operates in Bohai Bay.This study demonstrates the feasibility of this method to accurately estimate collapse risks in dynamic systems under in situ environmental stressors.Modern reliability approaches do not cope easily with the high dimensionality of real engineering dynamic systems,as well as nonlinear intercorrelations between various structural components.The Jacket offshore platform is chosen as the case study for this reliability analysis because of the presence of various hotspot stresses that synchronously arise in its structural parts.The authors provide a straightforward,precise method for estimating overall risks of operational failure,damage,or hazard for nonlinear multidimensional dynamic systems.The latter tool is important for offshore engineers during the design stage.展开更多
Photoelectrochemical(PEC)water splitting using bismuth vanadate(BiVO_(4))as a photoanode shows promise for renewable hydrogen production.Depositing cobalt phosphate(CoPi)on the BiVO_(4)photoanode as an oxygen evolutio...Photoelectrochemical(PEC)water splitting using bismuth vanadate(BiVO_(4))as a photoanode shows promise for renewable hydrogen production.Depositing cobalt phosphate(CoPi)on the BiVO_(4)photoanode as an oxygen evolution cocatalyst(OEC)is an effective method to improve the PEC performance.However,the CoPi/BiVO_(4)photoanode still faces challenges in terms of slow interface photogenerated carrier transport.Herein,we utilize the advantage of the classical strong metal-support interaction(SMSI)between Au and BiVO_(4)to prepare a CoPi/Au/BiVO_(4)(SMSI-CoPi/Au/BiVO_(4))photoanode.Due to the formation of SMSI,the accumulated electrons at the interface of CoPi/Au induce the accelerated extraction of photogenerated holes.Meanwhile,the active electron density of CoPi is increased,leading to improved water oxidation kinetic.As a result,the SMSI-CoPi/Au/BiVO_(4)photoanode exhibits a high photocurrent density of 5.01 m A cm^(-2)at 1.23 V versus the reversible hydrogen electrode and an applied bias photon-to-current efficiency of 1.78%.This work highlights a novel approach to enhance hole transfer and water oxidation kinetics of OEC/BiVO_(4)composite photoanodes,offering the great potential of using SMSI for PEC water splitting.展开更多
With the rapid adoption of artificial intelligence(AI)in domains such as power,transportation,and finance,the number of machine learning and deep learning models has grown exponentially.However,challenges such as dela...With the rapid adoption of artificial intelligence(AI)in domains such as power,transportation,and finance,the number of machine learning and deep learning models has grown exponentially.However,challenges such as delayed retraining,inconsistent version management,insufficient drift monitoring,and limited data security still hinder efficient and reliable model operations.To address these issues,this paper proposes the Intelligent Model Lifecycle Management Algorithm(IMLMA).The algorithm employs a dual-trigger mechanism based on both data volume thresholds and time intervals to automate retraining,and applies Bayesian optimization for adaptive hyperparameter tuning to improve performance.A multi-metric replacement strategy,incorporating MSE,MAE,and R2,ensures that new models replace existing ones only when performance improvements are guaranteed.A versioning and traceability database supports comparison and visualization,while real-time monitoring with stability analysis enables early warnings of latency and drift.Finally,hash-based integrity checks secure both model files and datasets.Experimental validation in a power metering operation scenario demonstrates that IMLMA reduces model update delays,enhances predictive accuracy and stability,and maintains low latency under high concurrency.This work provides a practical,reusable,and scalable solution for intelligent model lifecycle management,with broad applicability to complex systems such as smart grids.展开更多
This study evaluates the 1995-2020 global ocean-sea ice simulation using the unstructured-mesh model for prediction across scales(MPAS)-ocean/sea ice model within energy exascale earth system model(E3SM)version 2.1(E3...This study evaluates the 1995-2020 global ocean-sea ice simulation using the unstructured-mesh model for prediction across scales(MPAS)-ocean/sea ice model within energy exascale earth system model(E3SM)version 2.1(E3SMv2-MPAS)at 60 km to 10 km resolution.Multi-source observational data are utilized to validate sea surface temperature/salinity,sea ice,three-dimensional thermal-saline structures,mixed layer depth,ocean heat content,and sea surface height.Key results show the following:(1)E3SMv2-MPAS captures seasonal-to-decadal variability in surface fields and sea ice,but shows systematic biases in sea surface temperature of western boundary currents(inadequate eddy parameterization)and Arctic sea surface salinity(misrepresented freshwater fluxes and mixing processes).(2)The model robustly represents three-dimensional climate variability,yet underestimates mixed layer depth in key regions(Antarctic Circumpolar Current and North Atlantic),revealing deficiencies in extreme mixing.(3)Ocean heat content distributions are well-simulated.(4)Sea surface height spatial patterns and interannual variability are accurately reproduced.This work identifies critical refinements for unstructured-mesh models:mesoscale eddy parameterization,polar ocean-sea ice coupling,and multi-scale energy processes,advancing high-resolution climate model development and laying the groundwork for improved ocean forecasting systems.展开更多
The dual transmitter implements the equivalent anti-magnetic flux transient electromagnetic method, which can effectively reduce the scope of the transient electromagnetic detection blind area. However, this method is...The dual transmitter implements the equivalent anti-magnetic flux transient electromagnetic method, which can effectively reduce the scope of the transient electromagnetic detection blind area. However, this method is rarely reported in the detection of pipelines in urban geophysical exploration and the application of coal mines. Based on this, this paper realizes the equivalent anti-magnetic flux transient electromagnetic method based on the dual launcher. The suppression effect of this method on the blind area is analyzed by physical simulation. And the detection experiment of underground pipelines is carried out outdoors. The results show that the dual launcher can significantly reduce the turn-off time, thereby effectively reducing the impact of the blind area on the detection results, and the pipeline detection results verify the device’s effectiveness. Finally, based on the ground experimental results, the application prospect of mine advanced detection is discussed. Compared with other detection fields, the formation of blind areas is mainly caused by the equipment. If the dual launcher can be used to reduce the blind area, the accuracy of advanced detection can be improved more effectively. The above research results are of great significance for improving the detection accuracy of the underground transient electromagnetic method.展开更多
基金supported by the Key R&D Program of Shandong Province,China(No.2025CXGC 010412)the National Key Research and Development Program of China(No.2022YFB3709300)the National Natural Science Foundation of China(No.U21A2048).
文摘The limited high-temperature oxidation resistance of Mg alloys is a key factor restricting their development and application.The addition of some rare earth elements(REs),owing to their unique physical and chemical properties,can significantly enhance the oxidation resistance of Mg alloys.Based on our previous study,we conclude that REs such as Gd,Y,and Ce enhance the oxidation resistance of Mg-RE alloys.This article comprehensively reviews recent research progress on high-temperature oxidation behavior and the potential mechanism in Mg-RE alloys.Based on the thermodynamic and kinetic analyses,the evolution of the complex oxide system formed during the high-temperature oxidation of Mg-RE alloys is first summarized.The diffusion behavior and concentration control mechanisms of REs during the oxidation process and how these mechanisms affect the sustained growth of the oxide film and antioxidant properties were elucidated.Moreover,the different structures of the oxide films were classified,and their properties were discussed.Finally,this paper introduces the applications of commonly used REs in Mg alloys and frontier research on their oxidation mechanisms.Based on the above review,we propose that future research perspectives can be explored in terms of expanding the experimental temperature range for oxidation tests,optimizing the chemical composition by adding trace REs to study their synergistic mechanism,revealing the underlying oxidation mechanism through advanced in situ microscopic characterization methods,and investigating the mechanical properties of oxide films using diverse approaches.
基金supported by the National Natural Science Foundation of China(Grant No.62102449)the Central Plains Talent Program under Grant No.224200510003.
文摘With the increasing popularity of blockchain applications, the security of data sources on the blockchain is gradually receiving attention. Providing reliable data for the blockchain safely and efficiently has become a research hotspot, and the security of the oracle responsible for providing reliable data has attracted much attention. The most widely used centralized oracles in blockchain, such as Provable and Town Crier, all rely on a single oracle to obtain data, which suffers from a single point of failure and limits the large-scale development of blockchain. To this end, the distributed oracle scheme is put forward, but the existing distributed oracle schemes such as Chainlink and Augur generally have low execution efficiency and high communication overhead, which leads to their poor applicability. To solve the above problems, this paper proposes a trusted distributed oracle scheme based on a share recovery threshold signature. First, a data verification method of distributed oracles is designed based on threshold signature. By aggregating the signatures of oracles, data from different data sources can be mutually verified, leading to a more efficient data verification and aggregation process. Then, a credibility-based cluster head election algorithm is designed, which reduces the communication overhead by clarifying the function distribution and building a hierarchical structure. Considering the good performance of the BLS threshold signature in large-scale applications, this paper combines it with distributed oracle technology and proposes a BLS threshold signature algorithm that supports share recovery in distributed oracles. The share recovery mechanism enables the proposed scheme to solve the key loss issue, and the setting of the threshold value enables the proposed scheme to complete signature aggregation with only a threshold number of oracles, making the scheme more robust. Finally, experimental results indicate that, by using the threshold signature technology and the cluster head election algorithm, our scheme effectively improves the execution efficiency of oracles and solves the problem of a single point of failure, leading to higher scalability and robustness.
基金supported in part by the National Key Research and Development Program of China(2022YFD2100104)the Science and Technology Program of Shaanxi Province,China(2022JM-111)Graduate Innovation Fund of Dalian Polytechnic University。
文摘Punicalagin has been demonstrated to exhibit anti-oxidant and anti-inflammatory properties,but whether and how it could impact hypercholesterolemia remains not fully explored.The aim of this study was to investigate the influence of punicalagin on hypercholesterolemia in mice and its related mechanisms.After 6 weeks'intervention,punicalagin significantly reduced serum total cholesterol and low-density lipoprotein cholesterol(LDL-C)levels in mice fed a high-fat high-cholesterol(HFHC)diet.Meanwhile,punicalagin supplementation lowered hepatic cholesterol level,which corresponded to the down-regulation of cholesterol synthesis genes(Fdps,Cyp51)and up-regulated bile acid synthesis genes(Cyp7a1,Cyp27a1).In addition,bile acid reabsorption was retarded in punicalagin-fed mice through down-regulating ileal apical sodium-dependent BA transporter(ASBT).Furthermore,intestinal farnesoid X receptor(FXR)-fibroblast growth factor 15(Fgf15)pathway was inhibited while hepatic FXR-small heterodimeric partner(SHP)pathway was activated in punicalagin group.Microbiota analysis and targeted metabolomics showed that punicalagin decreased the abundance of bile-salt hydrolase(BSH)-producing bacteria(Clostridiaceae and Bifidobacteriaceae)and the ratio of primary BAs to secondary BAs.In conclusion,the cholesterol-lowering effect of punicalagin partly through down-regulating cholesterol synthesis and increasing cholesterol catabolism,which could be achieved by regulating gut microbiota,altering bile acid composition and modulating FXR signaling pathway.These findings indicate the potential application of punicalagin-related products as an alternative strategy for hypercholesterolemia prevention and mitigation.
基金supported by the Basic Research Program of the Guizhou Science Cooperation Foundation Project(Grant Number:ZK[2021]466)Guizhou Provincial Health Commission(Grant Number:gzwkj2022-062).
文摘Background:Terpinen-4-ol(T4O),a key constituent of tea tree essential oil and various aromatic plants,has shown promising antiproliferative and pro-apoptotic effects in melanoma and other cancer types.However,its efficacy against cutaneous squamous cell carcinoma(cSCC)remains unclear.Thus,in this study,we investigated the in vivo and in vitro effects of T4O on cSCC cell lines and preliminarily explored its impacting pathways.Methods:Using CCK8 and assay colony formation,we assessed the viability of cSCC A431,SCL-1,and COLO-16 cells treated with T40 at varying concentrations(0,1,2,and 4μM).Flow cytometry was employed to evaluate T4O’s effect on cSCC cell’s cycle progression and apoptosis induction.Additionally,western blotting was utilized to examine the expression intensities of N-cadherin and E-cadherin,two indicative markers of the epithelial-mesenchymal transition(EMT)pathway.T4O’s in vivo effect on inhibiting tumor progression was evaluated on an established xenograft tumor model.Then,the molecular mechanisms of T4O’s antitumor effect were explored by an integrated genome-wide transcriptomics and proteomics study on cSCC A431c cells.Finally,calpain-2’s potential mediator role in T4O’s anti-tumor mechanism was investigated in calpain-2 knockdown cell lines prepared via siRNA transfection.Result:It’s demonstrated that T4O treatment inhibited cSCC proliferation,clonogenicity,migration,and invasion while inducing apoptosis and suppressing the EMT pathway.T4O administration also inhibited cSCC tumorigenesis in the xenograft tumor model.RNA-sequencing and iTRAQ analysis detected significant upregulation of calpain-2 expression in T4O-treated cSCC cells.Western blotting confirmed that T4O significantly increased calpain-2 expression and promoted proteolytic cleavage ofβ-catenin and caspase-12,two calpain-2 target proteins.Importantly,siRNA-mediated calpain-2 knockdown relieved T4O’s suppressive effect on cSCC cell proliferation and motility.Mechanistically,T4O upregulates calpain-2 expression and promotes the cleavage ofβ-catenin and caspase-12,with siRNA-mediated calpain-2 knockdown mitigating T4O’s suppressive effects.Conclusion:These findings suggest that T4O’s antitumor activity in cSCC is mediated through the upregulation of calpain-2 expression and subsequent modulation ofβ-catenin and caspase-12.
基金supported by the National Natural Science Foundation of China(32060520)Science and Technology Talents and Platform Program of Yunnan Province(202105AF150049)University Key Laboratory of Food Microbial Resources and Utilization in Yunnan Province(Yunjiaofa[2018]No.135).
文摘In order to ensure food safety,controlling foodborne pathogen contamination is of utmost importance.Growing apprehensions regarding the safety of synthetic antimicrobials,due to their adverse health effects,have prompted a search for alternative options.Plant natural products(PNPs)with antimicrobial activity are being explored as a viable alternative.Among the various antimicrobial natural products studied,plant essential oils,plant flavonoids,plant polyphenols,plant polysaccharides,and plant antimicrobial peptides have been identified as potential candidates.PNPs demonstrate a diverse array of antimicrobial mechanisms,encompassing cell wall and membrane damage,interference with genetic replication,disruption of energy metabolism,and induction of oxidative stress at the single-cell level,as well as inhibition of biofilm formation and quorum sensing at the population level.Certain PNPs have been harnessed as natural antimicrobial agents for the food preservation.The utilization of encapsulation technology proves to be an effective strategy in protecting PNPs,thereby ensuring good antimicrobial efficacy,enhanced dispersibility,and controlled release within food products.The utilization of nanoemulsions,nanoliposomes,edible packaging,electrospun nanofibers,and microcapsules formed by encapsulation has enriched the ways in which PNPs can be applied in food preservation.Although PNPs have great potential in food preservation,their widespread application in the food industry is currently constrained by factors such as production costs,safety concerns,and legal considerations.Chemical synthesis and biosynthesis pathways offer viable strategies for reducing the cost of producing PNPs,and ongoing efforts to assess safety and improve regulatory frameworks are likely to facilitate the broader adoption of PNPs in food preservation practices.This article provides an overview of the main types of PNPs with antimicrobial activity and their properties,focusing on their mechanisms of action.Additionally,it summarizes the use of PNPs in food preservation and discusses the characteristics and applications of different encapsulation technologies.Lastly,the paper briefly analyzes current limitations and proposes potential future trends for this field.
基金supported by the National Natural Science Foundation of China(No.82271515)the SJTU Trans-Med Awards Research(No.2019015)+4 种基金the Scientific and Technological Innovation Action Plan of Shanghai(No.KY20211478)the Shanghai Municipal Science and Technology Major Project(No.2021SHZDZX)the Nursing Development Program of Shanghai Jiao Tong University School of Medicine(No.SJTUHLXK2022)the 2024 Shanghai Ruijin Hospital Nursing Research Fund(No.RJHK-2024-001)the Shanghai Nursing Association Funding(No.2024MS-B13),China。
文摘Abuse of amphetamine-based stimulants is a primary public health concern.Recent studies have underscored a troubling escalation in the inappropriate use of prescription amphetamine-based stimulants.However,the neurophysiological mechanisms underlying the impact of acute methamphetamine exposure(AME)on sleep homeostasis remain to be explored.This study employed non-human primates and electroencephalogram(EEG)sleep staging to evaluate the influence of AME on neural oscillations.The primary focus was on alterations in spindles,delta oscillations,and slow oscillations(SOs)and their interactions as conduits through which AME influences sleep stability.AME predominantly diminishes sleep-spindle waves in the non-rapid eye movement 2(NREM2)stage,and impacts SOs and delta waves differentially.Furthermore,the competitive relationships between SO/delta waves nesting with sleep spindles were selectively strengthened by methamphetamine.Complexity analysis also revealed that the SO-nested spindles had lost their ability to maintain sleep depth and stability.In summary,this finding could be one of the intrinsic electrophysiological mechanisms by which AME disrupted sleep homeostasis.
基金supported by the National Key Research and Development Program of China(2023YFB2406100)the National Natural Science Foundation of China(Grant No.22075062 and U23A20573)+6 种基金the Heilongjiang Touyan Team(Grant No.HITTY20190033)the Heilongjiang Postdoctoral Financial Assistance(Grant No.LBH-Z23137)the Postdoctoral Fellowship Program of CPSF(Grant No.GZC20233448)the China Postdoctoral Science Foundation(Grant No.2024M754198)the Shenzhen Science and Technology Program(KCXST20221021111216037)the Fundamental Research Funds for the Central Universities(Grant No.FRFCU5710051922)the program of “Open bidding for selecting the best candidates”(Grant No.2023JCA06)from Jiangxi Fuzhou Municipal Government。
文摘NASICON-type vanadium fluorophosphate is a promising cathode for sodium-ion batteries.Yet,the thermally-driven loss of undercoordinated dangling fluorine anions weakens its structural stability,which triggers severe framework distortion from interconnected double-octahedral to isolated local octahedral units,as well as a degeneracy of t_(2g) electronic configuration of vanadium(V)3d orbit.In this work,it is clarified that such a degenerate state undergoes spontaneous lattice evolution to reduce the system energy,which causes a low crystalline symmetry and a parasitic V^(4+)/V^(3+)redox reaction in the low-voltage region.Herein,an anion-coordination regulation strategy is developed to suppress this degeneration by anchoring fluorine anions in the double-octahedral[V_(2)O_(8)F_(3)]framework.Density functional theory calculations and in-situ techniques track the F-anion-driven structural evolution and charge compensation mechanisms,revealing that this strategy mitigates detrimental phase segregation during the initial desodiation stage and enhances the Na^(+)diffusion kinetic rate over a factor of 100.Concurrently,this strategy releases the V^(4+)/V^(3+)redox kinetics by eliminating the parasitic low-voltage plateau.The full-cell assembled with the optimized fluorophosphate cathode delivers an increase of 50%in discharge capacity and stable two-voltage-plateau behavior,enabled by its double-octahedral[V_(2)O_(8)F_(3)]polyanionic structure that facilitates unimpeded three-dimensional(3D)Na^(+)transport.By correlating anion-coordination stability with orbital-level charge compensation,this work establishes a universal paradigm for highperformance polyanionic cathodes,positioning it as a competitive candidate for battery applications.
基金supported by the National Natural Science Foundation of China(Grant No.62102449).
文摘To address the limitations of existing abnormal traffic detection methods,such as insufficient temporal and spatial feature extraction,high false positive rate(FPR),poor generalization,and class imbalance,this study proposed an intelligent detection method that combines a Stacked Convolutional Network(SCN),Bidirectional Long Short-Term Memory(BiLSTM)network,and Equalization Loss v2(EQL v2).This method was divided into two components:a feature extraction model and a classification and detection model.First,SCN was constructed by combining a Convolutional Neural Network(CNN)with a Depthwise Separable Convolution(DSC)network to capture the abstract spatial features of traffic data.These features were then input into the BiLSTM to capture temporal dependencies.An attention mechanism was incorporated after SCN and BiLSTM to enhance the extraction of key spatiotemporal features.To address class imbalance,the classification detection model applied EQL v2 to adjust the weights of the minority classes,ensuring that they received equal focus during training.The experimental results indicated that the proposed method outperformed the existing methods in terms of accuracy,FPR,and F1-score and significantly improved the identification rate of minority classes.
基金supported by the National Key Research and Development Program of China(2021YFD1300201)the National Natural Science Foundation of China(32330100 and 32125036)+3 种基金the China Agricultural Research System(CARS-35)2115 Talent Development Program of China Agricultural Universitythe 111 Project(No.B16044)the 2023 Key Project of the Graduate Independent Innovation Research Fund at China Agricultural University。
文摘Background Pigs fed diets with different ingredients but identical nutritional levels show significant differences in growth performance,indicating that growth may also be influenced by the synchronicity of dietary carbon and nitrogen supply.Therefore,this study aimed to determine glucose release kinetics of various feed ingredients,to investigate a glucose release pattern that is conducive to synchronized carbon–nitrogen supply,and to elucidate the underlying mechanisms by which this synchronization optimizes growth of pigs.Results We analyzed the glucose release kinetics of 23 feed ingredients in vitro and found that their glucose release rates and amounts varied greatly.Based on this,a nitrogen-free diet and 5 purified diets,which represented the observed variations in glucose release rates and quantities among feed ingredients,were designed for 18 ileal-cannulated pigs.The results demonstrated that slower glucose release pattern could disrupt the synchrony of dietary carbon and nitrogen supply,reducing the growth of pigs and increasing nitrogen losses.Specifically,the diet with slower and moderate amounts of glucose release showed a relatively slower release of amino acids.Pigs fed this diet had the lower amino acid digestibility and the enrichment of harmful bacteria,such as Streptococcus,in the terminal ileum.Conversely,the diets with slower and lower glucose release exhibited a relatively rapid release of amino acids but also resulted in poor growth.They increased glucogenic amino acid digestibility and potentially enriched bacteria involved in nitrogen cycling and carbon metabolism.Notably,only the diet with rapid glucose release achieved synchronized and rapid release of nutrients.Pigs fed this diet exhibited higher amino acid digestibility,decreased harmful bacteria enrichment,improved nutrient utilization,and enhanced short-term growth performance.Conclusions Our research analyzed significant differences in glucose release kinetics among swine feed ingredients and revealed that slow glucose release disrupted dietary carbon–nitrogen supply synchrony,shifting amino acid utilization and enriching pathogens,negatively impacting growth and nutrient utilization.Consequently,choosing feed ingredients releasing glucose at a rapid rate to balance dietary carbon and nitrogen supply helps promote pig growth,and ensures efficient feed utilization.
文摘The novel structural reliability methodology presented in this study is especially well suited for multidimensional structural dynamics that are physically measured or numerically simulated over a representative timelapse.The Gaidai multivariate reliability method is applied to an operational offshore Jacket platform that operates in Bohai Bay.This study demonstrates the feasibility of this method to accurately estimate collapse risks in dynamic systems under in situ environmental stressors.Modern reliability approaches do not cope easily with the high dimensionality of real engineering dynamic systems,as well as nonlinear intercorrelations between various structural components.The Jacket offshore platform is chosen as the case study for this reliability analysis because of the presence of various hotspot stresses that synchronously arise in its structural parts.The authors provide a straightforward,precise method for estimating overall risks of operational failure,damage,or hazard for nonlinear multidimensional dynamic systems.The latter tool is important for offshore engineers during the design stage.
基金supported by the National Natural Science Foundation of China(Nos.52472241,52403108 and 52301285)Department of Science and Technology of Hubei Province(Nos.2025AFA114 and 2024CSA076)+1 种基金Wuhan Science and Technology Bureau(Nos.2023020201010116 and 2024040801020319)Hubei Provincial Department of Education(No.Q20231703)。
文摘Photoelectrochemical(PEC)water splitting using bismuth vanadate(BiVO_(4))as a photoanode shows promise for renewable hydrogen production.Depositing cobalt phosphate(CoPi)on the BiVO_(4)photoanode as an oxygen evolution cocatalyst(OEC)is an effective method to improve the PEC performance.However,the CoPi/BiVO_(4)photoanode still faces challenges in terms of slow interface photogenerated carrier transport.Herein,we utilize the advantage of the classical strong metal-support interaction(SMSI)between Au and BiVO_(4)to prepare a CoPi/Au/BiVO_(4)(SMSI-CoPi/Au/BiVO_(4))photoanode.Due to the formation of SMSI,the accumulated electrons at the interface of CoPi/Au induce the accelerated extraction of photogenerated holes.Meanwhile,the active electron density of CoPi is increased,leading to improved water oxidation kinetic.As a result,the SMSI-CoPi/Au/BiVO_(4)photoanode exhibits a high photocurrent density of 5.01 m A cm^(-2)at 1.23 V versus the reversible hydrogen electrode and an applied bias photon-to-current efficiency of 1.78%.This work highlights a novel approach to enhance hole transfer and water oxidation kinetics of OEC/BiVO_(4)composite photoanodes,offering the great potential of using SMSI for PEC water splitting.
基金funded by Anhui NARI ZT Electric Co.,Ltd.,entitled“Research on the Shared Operation and Maintenance Service Model for Metering Equipment and Platform Development for the Modern Industrial Chain”(Grant No.524636250005).
文摘With the rapid adoption of artificial intelligence(AI)in domains such as power,transportation,and finance,the number of machine learning and deep learning models has grown exponentially.However,challenges such as delayed retraining,inconsistent version management,insufficient drift monitoring,and limited data security still hinder efficient and reliable model operations.To address these issues,this paper proposes the Intelligent Model Lifecycle Management Algorithm(IMLMA).The algorithm employs a dual-trigger mechanism based on both data volume thresholds and time intervals to automate retraining,and applies Bayesian optimization for adaptive hyperparameter tuning to improve performance.A multi-metric replacement strategy,incorporating MSE,MAE,and R2,ensures that new models replace existing ones only when performance improvements are guaranteed.A versioning and traceability database supports comparison and visualization,while real-time monitoring with stability analysis enables early warnings of latency and drift.Finally,hash-based integrity checks secure both model files and datasets.Experimental validation in a power metering operation scenario demonstrates that IMLMA reduces model update delays,enhances predictive accuracy and stability,and maintains low latency under high concurrency.This work provides a practical,reusable,and scalable solution for intelligent model lifecycle management,with broad applicability to complex systems such as smart grids.
基金The National Key R&D Program of China under contract No.2021YFC3101503the Science and Technology Innovation Program of Hunan Province under contract No.2022RC3070+1 种基金the National Natural Science Foundation of China under contract Nos 42305176 and 42276205the Hunan Provincial Natural Science Foundation of China under contract No.2023JJ10053.
文摘This study evaluates the 1995-2020 global ocean-sea ice simulation using the unstructured-mesh model for prediction across scales(MPAS)-ocean/sea ice model within energy exascale earth system model(E3SM)version 2.1(E3SMv2-MPAS)at 60 km to 10 km resolution.Multi-source observational data are utilized to validate sea surface temperature/salinity,sea ice,three-dimensional thermal-saline structures,mixed layer depth,ocean heat content,and sea surface height.Key results show the following:(1)E3SMv2-MPAS captures seasonal-to-decadal variability in surface fields and sea ice,but shows systematic biases in sea surface temperature of western boundary currents(inadequate eddy parameterization)and Arctic sea surface salinity(misrepresented freshwater fluxes and mixing processes).(2)The model robustly represents three-dimensional climate variability,yet underestimates mixed layer depth in key regions(Antarctic Circumpolar Current and North Atlantic),revealing deficiencies in extreme mixing.(3)Ocean heat content distributions are well-simulated.(4)Sea surface height spatial patterns and interannual variability are accurately reproduced.This work identifies critical refinements for unstructured-mesh models:mesoscale eddy parameterization,polar ocean-sea ice coupling,and multi-scale energy processes,advancing high-resolution climate model development and laying the groundwork for improved ocean forecasting systems.
文摘The dual transmitter implements the equivalent anti-magnetic flux transient electromagnetic method, which can effectively reduce the scope of the transient electromagnetic detection blind area. However, this method is rarely reported in the detection of pipelines in urban geophysical exploration and the application of coal mines. Based on this, this paper realizes the equivalent anti-magnetic flux transient electromagnetic method based on the dual launcher. The suppression effect of this method on the blind area is analyzed by physical simulation. And the detection experiment of underground pipelines is carried out outdoors. The results show that the dual launcher can significantly reduce the turn-off time, thereby effectively reducing the impact of the blind area on the detection results, and the pipeline detection results verify the device’s effectiveness. Finally, based on the ground experimental results, the application prospect of mine advanced detection is discussed. Compared with other detection fields, the formation of blind areas is mainly caused by the equipment. If the dual launcher can be used to reduce the blind area, the accuracy of advanced detection can be improved more effectively. The above research results are of great significance for improving the detection accuracy of the underground transient electromagnetic method.
