To minimize the excessive vibration and prolong the fatigue life of the offshore wind turbine systems, it is of value to control the vibration that is induced within the structure by implementing certain kinds of damp...To minimize the excessive vibration and prolong the fatigue life of the offshore wind turbine systems, it is of value to control the vibration that is induced within the structure by implementing certain kinds of dampers. In this paper, a ball vibration absorber (BVA) is experimentally investigated through a series of shake table tests on a 1/13 scaled wind turbine model. The reductions in top displacement, top acceleration, bottom stress and platform stress of the wind turbine tower system subjected to earthquakes and equivalent wind-wave loads, respectively, with a ball absorber are examined. Cases of the tower with rotating blades are also investigated to validate the efficacy of this damper in mitigating the vibration of an operating wind turbine. The experimental results indicate that the dynamic performance of the tested wind turbine model with a ball absorber is significantly improved compared with that of the uncontrolled structure in terms of the peak response reduction.展开更多
Dear Editor, Eukaryotic transcriptional regulation networks are extremely complex. Usually, multiple transcription factors (TFs) bind to the promoter region of a gene and cooperate to control gene expression precisely...Dear Editor, Eukaryotic transcriptional regulation networks are extremely complex. Usually, multiple transcription factors (TFs) bind to the promoter region of a gene and cooperate to control gene expression precisely. Identifying cooperative TFs remains a major challenge in modem biological research. Various types of data, including genomic sequences, expression profiles, ChiP-chip data and protein-protein interactions, have been used to identify mechanisms of cooperative transcriptional regulation.展开更多
Background Cumulus clouds are important elements in creating virtual outdoor scenes.Modeling cumulus clouds that have a specific shape is difficult owing to the fluid nature of the cloud.Image-based modeling is an eff...Background Cumulus clouds are important elements in creating virtual outdoor scenes.Modeling cumulus clouds that have a specific shape is difficult owing to the fluid nature of the cloud.Image-based modeling is an efficient method to solve this problem.Because of the complexity of cloud shapes,the task of modeling the cloud from a single image remains in the development phase.Methods In this study,a deep learning-based method was developed to address the problem of modeling 3D cumulus clouds from a single image.The method employs a three-dimensional autoencoder network that combines the variational autoencoder and the generative adversarial network.First,a 3D cloud shape is mapped into a unique hidden space using the proposed autoencoder.Then,the parameters of the decoder are fixed.A shape reconstruction network is proposed for use instead of the encoder part,and it is trained with rendered images.To train the presented models,we constructed a 3D cumulus dataset that included 2003D cumulus models.These cumulus clouds were rendered under different lighting parameters.Results The qualitative experiments showed that the proposed autoencoder method can learn more structural details of 3D cumulus shapes than existing approaches.Furthermore,some modeling experiments on rendering images demonstrated the effectiveness of the reconstruction model.Conclusion The proposed autoencoder network learns the latent space of 3D cumulus cloud shapes.The presented reconstruction architecture models a cloud from a single image.Experiments demonstrated the effectiveness of the two models.展开更多
Convertible bonds are an important segment of the corporate bond market,however,as hybrid instruments,convertible bonds are difficult to value because they depend on variables related to the underlying stock,the fixed...Convertible bonds are an important segment of the corporate bond market,however,as hybrid instruments,convertible bonds are difficult to value because they depend on variables related to the underlying stock,the fixed-income part,and the interaction between these components.Besides,embedded options,such as conversion,call,and put provisions are often restricted to certain periods,may vary over time,and are subject to additional path-dependent features of the state variables.Moreover,the most challenging problem in convertible bond valuation is the underlying stock return process modeling as it retains various complex statistical properties.In this paper,we propose DeepPricing,a novel data-driven convertible bonds pricing model,which is inspired by the recent success of generative adversarial networks(GAN),to address the above challenges.The method introduces a new financial time-series generative adversarial networks(FinGAN),which is able to reproduce risk-neutral stock return process that retains the unique statistical properties such as the fat-tailed distributions,the long-range dependence,and the asymmetry structure etc.,and then transit to its risk-neutral distribution.Thus it is more flexible and accurate to capture the dynamics of the underlying stock return process and keep the rich set of real-world convertible bond specifications compared with previous model-driven models.The experiments on the Chinese convertible bond market demonstrate the effectiveness of DeepPricing model.Compared with the convertible bond market prices,our model has a better convertible bonds pricing performance than both model-driven models,i.e.Black-Scholes,the constant elasticity of variance,GARCH,and the state-of-the-art GAN-based models,i.e.FinGAN-MLP,FinGAN-LSTM.Moreover,our model has a better fitting capacity for higher-volatility convertible bonds and the overall convertible bond market implied volatility smirk,especially for equity-liked convertible bonds,convertible bonds trading in the bull market,and out-of-the-money convertible bonds.Furthermore,the Long-Short and Long-Only investment strategies based on our model earn a significant annualized return with 41.16%and 31.06%,respectively,for the equally-weighted portfolio during the sample period.展开更多
The high temperature superconducting REBa2 Cu3 O7-x(REBCO)bulk with a diameter of only a few centimeters can trap a tesla⁃level magnetic field at a moderate temperature.The high magnetic field in such a compact struct...The high temperature superconducting REBa2 Cu3 O7-x(REBCO)bulk with a diameter of only a few centimeters can trap a tesla⁃level magnetic field at a moderate temperature.The high magnetic field in such a compact structure makes the REBCO bulk magnet widely applicable in many scenarios,such as in motor,generator,and bearing for flywheel.This review focuses on some research areas using the REBCO bulk magnet,which is quite interesting but has attracted little attention,including magnet lens,compact NMR,magnetron sputtering system,drug magnetic targeting system,magnetic separation,and magnetic mirror.In all of these areas,the REBCO bulk magnet shows its own advantages of having a high magnetic field but a small size to improve the final function.展开更多
Haploid breeding can shorten the breeding process and improve the breeding efficiency. Currently, in vivo haploid induction technology has been com- monly used in maize （ Zea mays L. ）. This paper briefly introduced...Haploid breeding can shorten the breeding process and improve the breeding efficiency. Currently, in vivo haploid induction technology has been com- monly used in maize （ Zea mays L. ）. This paper briefly introduced in vivo haploid induction technologies, summarized doubling methods of maize haploids and described the significance and application of maize haploids, which provided the basis for further development of haploid breeding in maize.展开更多
Myocardial ischemia–reperfusion injury(MIRI)is a major hindrance to the success of cardiac reperfusion therapy.Although increased neutrophil infiltration is a hallmark of MIRI,the subtypes and alterations of neutroph...Myocardial ischemia–reperfusion injury(MIRI)is a major hindrance to the success of cardiac reperfusion therapy.Although increased neutrophil infiltration is a hallmark of MIRI,the subtypes and alterations of neutrophils in this process remain unclear.Here,we performed single-cell sequencing of cardiac CD45^(+)cells isolated from the murine myocardium subjected to MIRI at six-time points.We identified diverse types of infiltrating immune cells and their dynamic changes during MIRI.Cardiac neutrophils showed the most immediate response and largest changes and featured with functionally heterogeneous subpopulations,including Ccl3^(hi)Neu and Ym-1^(hi)Neu,which were increased at 6 h and 1 d after reperfusion,respectively.Ym-1^(hi)Neu selectively expressed genes with protective effects and was,therefore,identified as a novel specific type of cardiac cell in the injured heart.Further analysis indicated that neutrophils and their subtypes orchestrated subsequent immune responses in the cardiac tissues,especially instructing the response of macrophages.The abundance of Ym-1^(hi)Neu was closely correlated with the therapeutic efficacy of MIRI when neutrophils were specifically targeted by anti-Lymphocyte antigen 6 complex locus G6D(Ly6G)or anti-Intercellular cell adhesion molecule-1(ICAM-1)neutralizing antibodies.In addition,a neutrophil subtype with the same phenotype as Ym-1^(hi)Neu was detected in clinical samples and correlated with prognosis.Ym-1 inhibition exacerbated myocardial injury,whereas Ym-1 supplementation significantly ameliorated injury in MIRI mice,which was attributed to the tilt of Ym-1 on the polarization of macrophages toward the repair phenotype in myocardial tissue.Overall,our findings reveal the antiinflammatory phenotype of Ym-1^(hi)Neu and highlight its critical role in myocardial protection during the early stages of MIRI.展开更多
The 8 mm-thick 2195 Al-Li alloy joints were achieved by Friction Stir Welding(FSW).The microstructural evolution,temperature-dependent mechanical properties,and fracture properties were studied.The T1,δ’/β’and θ...The 8 mm-thick 2195 Al-Li alloy joints were achieved by Friction Stir Welding(FSW).The microstructural evolution,temperature-dependent mechanical properties,and fracture properties were studied.The T1,δ’/β’and θ’precipitates were observed in the Base Metal(BM)and the Heat Affected Zone(HAZ).Most of the precipitates,except for re-precipitated δ’/β’phases,were dissolved in the Nugget Zone(NZ).The tensile specimens that failed at cryogenic temperatures(-196℃)had the maximum Ultimate Tensile Strength(UTS),and the fracture surface showed the inter-granular fracture characteristics.Compared to those at room temperature(25℃),the decreasing tensile properties at high temperature(180℃)were related to microstructure and strain hardening effects.The NZ presented the optimal fracture toughness,and the Crack Tip Opening Displacement(CTOD)was mutually dominated by microhardness and grain size.Analysis on Fatigue Crack Growth(FCG)rates indicates that the Thermal-Mechanically Affected Zone(TMAZ)exhibited the most superior fatigue resistance performance at stress intensity range below17 MPa.m1/2due to compressive residual stress and the crack closure effect.The fatigue fracture surfaces reveal that the crack propagation zone was characterized by the striations and secondary cracks.Also,inter-granular fracture behavior was responsible for the fastest FCG rates in the NZ.展开更多
Background and Aims:Development of fibrosis in chronic liver disease requires activation of hepatic stellate cells(HSCs)and leads to a poor outcome.Artesunate(Art)is an ester derivative of artemisinin that can induce ...Background and Aims:Development of fibrosis in chronic liver disease requires activation of hepatic stellate cells(HSCs)and leads to a poor outcome.Artesunate(Art)is an ester derivative of artemisinin that can induce ferroptosis in HSCs,and activated transcriptional factor 3(ATF3)is an ATF/CREB transcription factor that is induced in response to stress.In this study,we examined the role of the Rho-associated protein kinase 1(ROCK1)/ATF3 axis in Art-induced ferroptosis in HSCs.Methods:HSC activation and ferroptosis were studied in vitro by western blotting,polymerase chain reaction,immunofluorescence,and other assays.ATF3 electrophoretic mobility and ROCK1 protein stability were assayed by western blotting.Immunoprecipitation was used to detect the interaction of ROCK1 and ATF3,as well as ATF3 phosphorylation.A ubiquitination assay was used to verify ROCK1 degradation.Atf3-interfering and Rock1-overexpressing mice were constructed to validate the anti-hepatic fibrosis activity of Art in vivo.Results:Art induced ferroptosis in HSCs following glutathione-dependent antioxidant system inactivation resulting from nuclear accumulation of unphosphorylated ATF3 mediated by ROCK1-ubiquitination in vitro.Art also decreased carbon tetrachloride-induced liver fibrosis in mice,which was reversed by interfering with Atf3 or overexpressing Rock1.Conclusions:The ROCK1/ATF3 axis was involved in liver fibrosis and regulation of ferroptosis,which provides an experimental basis for further study of Art for the treatment of liver fibrosis.展开更多
Dwell time plays a vital role in determining the accuracy and convergence of the computer-controlled optical surfacing process.However,optimizing dwell time presents a challenge due to its ill-posed nature,resulting i...Dwell time plays a vital role in determining the accuracy and convergence of the computer-controlled optical surfacing process.However,optimizing dwell time presents a challenge due to its ill-posed nature,resulting in non-unique solutions.To address this issue,several well-known methods have emerged,including the iterative,Bayesian,Fourier transform,and matrix-form methods.Despite their independent development,these methods share common objectives,such as minimizing residual errors,ensuring dwell time's positivity and smoothness,minimizing total processing time,and enabling flexible dwell positions.This paper aims to comprehensively review the existing dwell time optimization methods,explore their interrelationships,provide insights for their effective implementations,evaluate their performances,and ultimately propose a unified dwell time optimization methodology.展开更多
Since the discovery of Stimulator of Interferon Genes(STING)as an important pivot for cytosolic DNA sensation and interferon(IFN)induction,intensive efforts have been endeavored to clarify the molecular mechanism of i...Since the discovery of Stimulator of Interferon Genes(STING)as an important pivot for cytosolic DNA sensation and interferon(IFN)induction,intensive efforts have been endeavored to clarify the molecular mechanism of its activation,its physiological function as a ubiquitously expressed protein,and to explore its potential as a therapeutic target in a wide range of immune-related diseases.With its orthodox ligand 2’3’-cyclic GMP–AMP(2’3’-cGAMP)and the upstream sensor 2’3’-cGAMP synthase(cGAS)to be found,STING acquires its central functionality in the best-studied signaling cascade,namely the cGAS–STING–IFN pathway.However,recently updated research through structural research,genetic screening,and biochemical assay greatly extends the current knowledge of STING biology.A second ligand pocket was recently discovered in the transmembrane domain for a synthetic agonist.On its downstream outputs,accumulating studies sketch primordial and multifaceted roles of STING beyond its cytokine-inducing function,such as autophagy,cell death,metabolic modulation,endoplasmic reticulum(ER)stress,and RNA virus restriction.Furthermore,with the expansion of the STING interactome,the details of STING trafficking also get clearer.After retrospecting the brief history of viral interference and the milestone events since the discovery of STING,we present a vivid panorama of STING biology taking into account the details of the biochemical assay and structural information,especially its versatile outputs and functions beyond IFN induction.We also summarize the roles of STING in the pathogenesis of various diseases and highlight the development of small-molecular compounds targeting STING for disease treatment in combination with the latest research.Finally,we discuss the open questions imperative to answer.展开更多
Background and Aims:Naringenin is an anti-inflammatory flavonoid that has been studied in chronic liver disease.The mechanism specific to its antifibrosis activity needs further investigation This study was to focused...Background and Aims:Naringenin is an anti-inflammatory flavonoid that has been studied in chronic liver disease.The mechanism specific to its antifibrosis activity needs further investigation This study was to focused on the cyclic guanosine monophosphate-adenosine monophosphate synthase(cGAS)pathway in hepatic stellate cells and clarified the antifibrosis mechanism of naringenin.Methods:The relationship between the cGAS-stimulator of interferon genes(STING)pathway and liver fibrosis was analyzed using the Gene Expression Omnibus database.Histopathology,immunohistochemistry,fluorescence staining,Western blotting and polymerase chain reaction were performed to assess gene and protein expression levels associated with the cGAS pathway in clinical liver tissue samples and mouse livers.Molecular docking was performed to evaluate the relationship between naringenin and cGAS,and western blotting was performed to study the expression of inflammatory factors downstream of cGAS in vitro.Results:Clinical database analyses showed that the cGAS-STING pathway is involved in the occurrence of chronic liver disease.Naringenin ameliorated liver injury and liver fibrosis,decreased collagen deposition and cGAS expression,and inhibited inflammation in carbon tetrachloride(CCl4)-treated mice.Molecular docking found that cGAS may be a direct target of naringenin.Consistent with the in vivo results,we verified the inhibitory effect of naringenin on activated hepatic stellate cells(HSCs).By using the cGAS-specific agonist double-stranded(ds)DNA,we showed that naringenin attenuated the activation of cGAS and its inflammatory factors affected by dsDNA.We verified that naringenin inhibited the cGAS-STING pathway,thereby reducing the secretion of inflammatory factors by HSCs to ameliorate liver fibrosis.Conclusions:Interrupting the cGAS-STING pathway helped reverse the fibrosis process.Naringenin has potential as an antihepatic fibrosis drug.展开更多
Background:Microsatellite instability(MSI)is a key biomarker for cancer immunotherapy and prognosis.Integration of MSI testing into a next-generation-sequencing(NGS)panel could save tissue sample,reduce turn-around ti...Background:Microsatellite instability(MSI)is a key biomarker for cancer immunotherapy and prognosis.Integration of MSI testing into a next-generation-sequencing(NGS)panel could save tissue sample,reduce turn-around time and cost,and provide MSI status and comprehensive genomic profiling in single test.We aimed to develop an MSI calling model to detect MSI status along with the NGS panel-based profiling test using tumor-only samples.Methods:From January 2019 to December 2020,a total of 174 colorectal cancer(CRC)patients were enrolled,including 31 MSI-high(MSI-H)and 143 microsatellite stability(MSS)cases.Among them,56 paired tumor and normal samples(10 MSI-H and 46 MSS)were used for modeling,and another 118 tumor-only samples were used for validation.MSI polymerase chain reaction(MSI-PCR)was performed as the gold standard.A baseline was built for the selected microsatellite loci using the NGS data of 56 normal blood samples.An MSI detection model was constructed by analyzing the NGS data of tissue samples.The performance of the model was compared with the results of MSI-PCR.Results:We first intersected the target genomic regions of the NGS panels used in this study to select common microsatellite loci.A total of 42 loci including 23 mononucleotide repeat sites and 19 longer repeat sites were candidates for modeling.As mononucleotide repeat sites are more sensitive and specific for detecting MSI status than sites with longer length motif and the mononucleotide repeat sites performed even better than the total sites,a model containing 23 mononucleotide repeat sites was constructed and named Colorectal Cancer Microsatellite Instability test(CRC-MSI).The model achieved 100%sensitivity and 100%specificity when compared with MSI-PCR in both training and validation sets.Furthermore,the CRC-MSI model was robust with the tumor content as low as 6%.In addition,8 out of 10 MSI-H samples showed alternations in the four mismatch repair genes(MLH1,MSH2,MSH6,and PMS2).Conclusion:MSI status can be accurately determined along the targeted NGS panels using only tumor samples.The performance of mononucleotide repeat sites surpasses loci with longer repeat motif in MSI calling.展开更多
1 Introduction In this letter,we consider the problem of recovering an unknown sparse signal from its few measurements when part of the support prior of the desired signal is available.This problem naturally raises fr...1 Introduction In this letter,we consider the problem of recovering an unknown sparse signal from its few measurements when part of the support prior of the desired signal is available.This problem naturally raises from the compressed sensing(CS),which was proposed by Candès et al.[1]around 2006.Since then,CS has rapidly developed,see,e.g.,[2–5].展开更多
Numerical weather prediction(NWP)data possess internal inaccuracies,such as low NWP wind speed corresponding to high actual wind power generation.This study is intended to reduce the negative effects of such inaccurac...Numerical weather prediction(NWP)data possess internal inaccuracies,such as low NWP wind speed corresponding to high actual wind power generation.This study is intended to reduce the negative effects of such inaccuracies by proposing a pure data-selection framework(PDF)to choose useful data prior to modeling,thus improving the accuracy of day-ahead wind power forecasting.Briefly,we convert an entire NWP training dataset into many small subsets and then select the best subset combination via a validation set to build a forecasting model.Although a small subset can increase selection flexibility,it can also produce billions of subset combinations,resulting in computational issues.To address this problem,we incorporated metamodeling and optimization steps into PDF.We then proposed a design and analysis of the computer experiments-based metamodeling algorithm and heuristic-exhaustive search optimization algorithm,respectively.Experimental results demonstrate that(1)it is necessary to select data before constructing a forecasting model;(2)using a smaller subset will likely increase selection flexibility,leading to a more accurate forecasting model;(3)PDF can generate a better training dataset than similarity-based data selection methods(e.g.,K-means and support vector classification);and(4)choosing data before building a forecasting model produces a more accurate forecasting model compared with using a machine learning method to construct a model directly.展开更多
1.The“room temperature superconductor LK-99”events from the Korean group On 2023 July 22nd,two papers have submitted to the arXiv,which declared that they finished the world's first room temperature ambient pres...1.The“room temperature superconductor LK-99”events from the Korean group On 2023 July 22nd,two papers have submitted to the arXiv,which declared that they finished the world's first room temperature ambient pressure superconductor called LK-99(https://arxiv.org/ftp/arxiv/papers/2307/2307.12008.pdf,https://arxiv.org/ftp/arxiv/papers/2307/2307.12037.pdf).展开更多
The merits of compressed air energy storage(CAES)include large power generation capacity,long service life,and environmental safety.When a CAES plant is switched to the grid-connected mode and participates in grid reg...The merits of compressed air energy storage(CAES)include large power generation capacity,long service life,and environmental safety.When a CAES plant is switched to the grid-connected mode and participates in grid regulation,using the traditional control mode with low accuracy can result in excess grid-connected impulse current and junction voltage.This occurs because the CAES output voltage does not match the frequency,amplitude,and phase of the power grid voltage.Therefore,an adaptive linear active disturbance-rejection control(A-LADRC)strategy was proposed.Based on the LADRC strategy,which is more accurate than the traditional proportional integral controller,the proposed controller is enhanced to allow adaptive adjustment of bandwidth parameters,resulting in improved accuracy and response speed.The problem of large impulse current when CAES is switched to the grid-connected mode is addressed,and the frequency fluctuation is reduced.Finally,the effectiveness of the proposed strategy in reducing the impact of CAES on the grid connection was verified using a hardware-in-the-loop simulation platform.The influence of the k value in the adaptive-adjustment formula on the A-LADRC was analyzed through simulation.The anti-interference performance of the control was verified by increasing and decreasing the load during the presynchronization process.展开更多
文摘To minimize the excessive vibration and prolong the fatigue life of the offshore wind turbine systems, it is of value to control the vibration that is induced within the structure by implementing certain kinds of dampers. In this paper, a ball vibration absorber (BVA) is experimentally investigated through a series of shake table tests on a 1/13 scaled wind turbine model. The reductions in top displacement, top acceleration, bottom stress and platform stress of the wind turbine tower system subjected to earthquakes and equivalent wind-wave loads, respectively, with a ball absorber are examined. Cases of the tower with rotating blades are also investigated to validate the efficacy of this damper in mitigating the vibration of an operating wind turbine. The experimental results indicate that the dynamic performance of the tested wind turbine model with a ball absorber is significantly improved compared with that of the uncontrolled structure in terms of the peak response reduction.
基金This work was supported by the National Basic Research Program of China (Grant Nos. 2009CB918404 and 2006CB910700), International S&T Cooperation Program of China (Grant No. 2007DFA31040) and the National Natural Science Foundation of China (Grant Nos. 30700154 and 31070746).
文摘Dear Editor, Eukaryotic transcriptional regulation networks are extremely complex. Usually, multiple transcription factors (TFs) bind to the promoter region of a gene and cooperate to control gene expression precisely. Identifying cooperative TFs remains a major challenge in modem biological research. Various types of data, including genomic sequences, expression profiles, ChiP-chip data and protein-protein interactions, have been used to identify mechanisms of cooperative transcriptional regulation.
基金the National Key R&D Program of China(2017YFB1002702).
文摘Background Cumulus clouds are important elements in creating virtual outdoor scenes.Modeling cumulus clouds that have a specific shape is difficult owing to the fluid nature of the cloud.Image-based modeling is an efficient method to solve this problem.Because of the complexity of cloud shapes,the task of modeling the cloud from a single image remains in the development phase.Methods In this study,a deep learning-based method was developed to address the problem of modeling 3D cumulus clouds from a single image.The method employs a three-dimensional autoencoder network that combines the variational autoencoder and the generative adversarial network.First,a 3D cloud shape is mapped into a unique hidden space using the proposed autoencoder.Then,the parameters of the decoder are fixed.A shape reconstruction network is proposed for use instead of the encoder part,and it is trained with rendered images.To train the presented models,we constructed a 3D cumulus dataset that included 2003D cumulus models.These cumulus clouds were rendered under different lighting parameters.Results The qualitative experiments showed that the proposed autoencoder method can learn more structural details of 3D cumulus shapes than existing approaches.Furthermore,some modeling experiments on rendering images demonstrated the effectiveness of the reconstruction model.Conclusion The proposed autoencoder network learns the latent space of 3D cumulus cloud shapes.The presented reconstruction architecture models a cloud from a single image.Experiments demonstrated the effectiveness of the two models.
基金supported by the Postdoctoral Science Foundation of China(Project No.2021M700055)。
文摘Convertible bonds are an important segment of the corporate bond market,however,as hybrid instruments,convertible bonds are difficult to value because they depend on variables related to the underlying stock,the fixed-income part,and the interaction between these components.Besides,embedded options,such as conversion,call,and put provisions are often restricted to certain periods,may vary over time,and are subject to additional path-dependent features of the state variables.Moreover,the most challenging problem in convertible bond valuation is the underlying stock return process modeling as it retains various complex statistical properties.In this paper,we propose DeepPricing,a novel data-driven convertible bonds pricing model,which is inspired by the recent success of generative adversarial networks(GAN),to address the above challenges.The method introduces a new financial time-series generative adversarial networks(FinGAN),which is able to reproduce risk-neutral stock return process that retains the unique statistical properties such as the fat-tailed distributions,the long-range dependence,and the asymmetry structure etc.,and then transit to its risk-neutral distribution.Thus it is more flexible and accurate to capture the dynamics of the underlying stock return process and keep the rich set of real-world convertible bond specifications compared with previous model-driven models.The experiments on the Chinese convertible bond market demonstrate the effectiveness of DeepPricing model.Compared with the convertible bond market prices,our model has a better convertible bonds pricing performance than both model-driven models,i.e.Black-Scholes,the constant elasticity of variance,GARCH,and the state-of-the-art GAN-based models,i.e.FinGAN-MLP,FinGAN-LSTM.Moreover,our model has a better fitting capacity for higher-volatility convertible bonds and the overall convertible bond market implied volatility smirk,especially for equity-liked convertible bonds,convertible bonds trading in the bull market,and out-of-the-money convertible bonds.Furthermore,the Long-Short and Long-Only investment strategies based on our model earn a significant annualized return with 41.16%and 31.06%,respectively,for the equally-weighted portfolio during the sample period.
基金National Key R&D Program of China(Grant No.2018YFF0109401)the National Natural Science Foundation of China(Grant Nos.51702316,51777205,51807191 and 11745005)+1 种基金the International Partnership Program of the Chinese Academy of Sciences(Grant Nos.182111KYSB20170039 and 182111KYSB20170067)the Key Research Program of Frontier Sciences,CAS(Grant No.ZDBS⁃LY⁃JSC039).
文摘The high temperature superconducting REBa2 Cu3 O7-x(REBCO)bulk with a diameter of only a few centimeters can trap a tesla⁃level magnetic field at a moderate temperature.The high magnetic field in such a compact structure makes the REBCO bulk magnet widely applicable in many scenarios,such as in motor,generator,and bearing for flywheel.This review focuses on some research areas using the REBCO bulk magnet,which is quite interesting but has attracted little attention,including magnet lens,compact NMR,magnetron sputtering system,drug magnetic targeting system,magnetic separation,and magnetic mirror.In all of these areas,the REBCO bulk magnet shows its own advantages of having a high magnetic field but a small size to improve the final function.
基金Supported by Project of Modern Crop Breeding[Guangdong Finance of Agriculture(2014)No.492]2012 Innovation and Entrepreneurship Training Program for University Students of Guangdong Province(1134712062)
文摘Haploid breeding can shorten the breeding process and improve the breeding efficiency. Currently, in vivo haploid induction technology has been com- monly used in maize （ Zea mays L. ）. This paper briefly introduced in vivo haploid induction technologies, summarized doubling methods of maize haploids and described the significance and application of maize haploids, which provided the basis for further development of haploid breeding in maize.
基金supported by the National Natural Science Foundation of China(82022076,81974249,82070136,82104488,and 82305194)the Postdoctoral Science Foundation of China(2023M731222,and 2020T130040ZX)the Foundation of Hubei Key Laboratory of Biological Targeted Therapy(2023swbx021)。
文摘Myocardial ischemia–reperfusion injury(MIRI)is a major hindrance to the success of cardiac reperfusion therapy.Although increased neutrophil infiltration is a hallmark of MIRI,the subtypes and alterations of neutrophils in this process remain unclear.Here,we performed single-cell sequencing of cardiac CD45^(+)cells isolated from the murine myocardium subjected to MIRI at six-time points.We identified diverse types of infiltrating immune cells and their dynamic changes during MIRI.Cardiac neutrophils showed the most immediate response and largest changes and featured with functionally heterogeneous subpopulations,including Ccl3^(hi)Neu and Ym-1^(hi)Neu,which were increased at 6 h and 1 d after reperfusion,respectively.Ym-1^(hi)Neu selectively expressed genes with protective effects and was,therefore,identified as a novel specific type of cardiac cell in the injured heart.Further analysis indicated that neutrophils and their subtypes orchestrated subsequent immune responses in the cardiac tissues,especially instructing the response of macrophages.The abundance of Ym-1^(hi)Neu was closely correlated with the therapeutic efficacy of MIRI when neutrophils were specifically targeted by anti-Lymphocyte antigen 6 complex locus G6D(Ly6G)or anti-Intercellular cell adhesion molecule-1(ICAM-1)neutralizing antibodies.In addition,a neutrophil subtype with the same phenotype as Ym-1^(hi)Neu was detected in clinical samples and correlated with prognosis.Ym-1 inhibition exacerbated myocardial injury,whereas Ym-1 supplementation significantly ameliorated injury in MIRI mice,which was attributed to the tilt of Ym-1 on the polarization of macrophages toward the repair phenotype in myocardial tissue.Overall,our findings reveal the antiinflammatory phenotype of Ym-1^(hi)Neu and highlight its critical role in myocardial protection during the early stages of MIRI.
基金supported by the National Key Research and Development Program of China(No.2020YFA0711101)the National Natural Science Foundation of China(Nos.U1837204 and 51974100)。
文摘The 8 mm-thick 2195 Al-Li alloy joints were achieved by Friction Stir Welding(FSW).The microstructural evolution,temperature-dependent mechanical properties,and fracture properties were studied.The T1,δ’/β’and θ’precipitates were observed in the Base Metal(BM)and the Heat Affected Zone(HAZ).Most of the precipitates,except for re-precipitated δ’/β’phases,were dissolved in the Nugget Zone(NZ).The tensile specimens that failed at cryogenic temperatures(-196℃)had the maximum Ultimate Tensile Strength(UTS),and the fracture surface showed the inter-granular fracture characteristics.Compared to those at room temperature(25℃),the decreasing tensile properties at high temperature(180℃)were related to microstructure and strain hardening effects.The NZ presented the optimal fracture toughness,and the Crack Tip Opening Displacement(CTOD)was mutually dominated by microhardness and grain size.Analysis on Fatigue Crack Growth(FCG)rates indicates that the Thermal-Mechanically Affected Zone(TMAZ)exhibited the most superior fatigue resistance performance at stress intensity range below17 MPa.m1/2due to compressive residual stress and the crack closure effect.The fatigue fracture surfaces reveal that the crack propagation zone was characterized by the striations and secondary cracks.Also,inter-granular fracture behavior was responsible for the fastest FCG rates in the NZ.
基金supported by the National Natural Science Foundation of China(No.82000572,82073914,82173874,82274185)the Natural Science Foundation of Jiangsu Province(No.BK20220467,BK20200840)+4 种基金the Major Project of the Natural Science Research of Jiangsu Higher Education Institutions(No.22KJB310013,19KJA310005)the Joint Project of Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica and Yangtze River Pharmaceutical(No.JKLPSE202005)the Natural Science Foundation of Nanjing University of Chinese Medicine(No.NZY82000572)Nanjing Pharmaceutical Association-Changzhou Fourth Pharmaceutical Hospital Pharmaceutical Research Fund(NO.2021YX030)Postgraduate Research&Practice Innovation Program of Jiangsu Province(No.SJCX22_0792).
文摘Background and Aims:Development of fibrosis in chronic liver disease requires activation of hepatic stellate cells(HSCs)and leads to a poor outcome.Artesunate(Art)is an ester derivative of artemisinin that can induce ferroptosis in HSCs,and activated transcriptional factor 3(ATF3)is an ATF/CREB transcription factor that is induced in response to stress.In this study,we examined the role of the Rho-associated protein kinase 1(ROCK1)/ATF3 axis in Art-induced ferroptosis in HSCs.Methods:HSC activation and ferroptosis were studied in vitro by western blotting,polymerase chain reaction,immunofluorescence,and other assays.ATF3 electrophoretic mobility and ROCK1 protein stability were assayed by western blotting.Immunoprecipitation was used to detect the interaction of ROCK1 and ATF3,as well as ATF3 phosphorylation.A ubiquitination assay was used to verify ROCK1 degradation.Atf3-interfering and Rock1-overexpressing mice were constructed to validate the anti-hepatic fibrosis activity of Art in vivo.Results:Art induced ferroptosis in HSCs following glutathione-dependent antioxidant system inactivation resulting from nuclear accumulation of unphosphorylated ATF3 mediated by ROCK1-ubiquitination in vitro.Art also decreased carbon tetrachloride-induced liver fibrosis in mice,which was reversed by interfering with Atf3 or overexpressing Rock1.Conclusions:The ROCK1/ATF3 axis was involved in liver fibrosis and regulation of ferroptosis,which provides an experimental basis for further study of Art for the treatment of liver fibrosis.
基金supported by the Accelerator and Detector Research Program,part of the Scientific User Facility Division of the Basic Energy Science Office of the U.S.Department of Energy(DOE),under the Field Work Proposal No.FWP-PS032This research was performed at the Optical Metrology Laboratory at the National Synchrotron Light Source II,a U.S.DOE Office of Science User Facility operated by Brookhaven National Laboratory(BNL)under Contract No.DE-SC0012704This work was performed under the BNL LDRD 17-016“Diffraction limited and wavefront preserving reflective optics development.”This work was also supported by the Natural Science Foundation of Fujian Province,China,under grant number 2022J011245.
文摘Dwell time plays a vital role in determining the accuracy and convergence of the computer-controlled optical surfacing process.However,optimizing dwell time presents a challenge due to its ill-posed nature,resulting in non-unique solutions.To address this issue,several well-known methods have emerged,including the iterative,Bayesian,Fourier transform,and matrix-form methods.Despite their independent development,these methods share common objectives,such as minimizing residual errors,ensuring dwell time's positivity and smoothness,minimizing total processing time,and enabling flexible dwell positions.This paper aims to comprehensively review the existing dwell time optimization methods,explore their interrelationships,provide insights for their effective implementations,evaluate their performances,and ultimately propose a unified dwell time optimization methodology.
基金supported by the National Key Research and Development Program of China(No.2019YFC1316204)the National Natural Science Foundation of China(Nos.81974249,82070136).
文摘Since the discovery of Stimulator of Interferon Genes(STING)as an important pivot for cytosolic DNA sensation and interferon(IFN)induction,intensive efforts have been endeavored to clarify the molecular mechanism of its activation,its physiological function as a ubiquitously expressed protein,and to explore its potential as a therapeutic target in a wide range of immune-related diseases.With its orthodox ligand 2’3’-cyclic GMP–AMP(2’3’-cGAMP)and the upstream sensor 2’3’-cGAMP synthase(cGAS)to be found,STING acquires its central functionality in the best-studied signaling cascade,namely the cGAS–STING–IFN pathway.However,recently updated research through structural research,genetic screening,and biochemical assay greatly extends the current knowledge of STING biology.A second ligand pocket was recently discovered in the transmembrane domain for a synthetic agonist.On its downstream outputs,accumulating studies sketch primordial and multifaceted roles of STING beyond its cytokine-inducing function,such as autophagy,cell death,metabolic modulation,endoplasmic reticulum(ER)stress,and RNA virus restriction.Furthermore,with the expansion of the STING interactome,the details of STING trafficking also get clearer.After retrospecting the brief history of viral interference and the milestone events since the discovery of STING,we present a vivid panorama of STING biology taking into account the details of the biochemical assay and structural information,especially its versatile outputs and functions beyond IFN induction.We also summarize the roles of STING in the pathogenesis of various diseases and highlight the development of small-molecular compounds targeting STING for disease treatment in combination with the latest research.Finally,we discuss the open questions imperative to answer.
基金supported by the National Natural Science Foundation of China (82073914 and 81870423)the Jiangsu Province Traditional Chinese Medicine Science and Technology Development Plan Project (QN202112)the Joint Project of Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica and Yangtze River Pharmaceutical (JKLPSE202005).
文摘Background and Aims:Naringenin is an anti-inflammatory flavonoid that has been studied in chronic liver disease.The mechanism specific to its antifibrosis activity needs further investigation This study was to focused on the cyclic guanosine monophosphate-adenosine monophosphate synthase(cGAS)pathway in hepatic stellate cells and clarified the antifibrosis mechanism of naringenin.Methods:The relationship between the cGAS-stimulator of interferon genes(STING)pathway and liver fibrosis was analyzed using the Gene Expression Omnibus database.Histopathology,immunohistochemistry,fluorescence staining,Western blotting and polymerase chain reaction were performed to assess gene and protein expression levels associated with the cGAS pathway in clinical liver tissue samples and mouse livers.Molecular docking was performed to evaluate the relationship between naringenin and cGAS,and western blotting was performed to study the expression of inflammatory factors downstream of cGAS in vitro.Results:Clinical database analyses showed that the cGAS-STING pathway is involved in the occurrence of chronic liver disease.Naringenin ameliorated liver injury and liver fibrosis,decreased collagen deposition and cGAS expression,and inhibited inflammation in carbon tetrachloride(CCl4)-treated mice.Molecular docking found that cGAS may be a direct target of naringenin.Consistent with the in vivo results,we verified the inhibitory effect of naringenin on activated hepatic stellate cells(HSCs).By using the cGAS-specific agonist double-stranded(ds)DNA,we showed that naringenin attenuated the activation of cGAS and its inflammatory factors affected by dsDNA.We verified that naringenin inhibited the cGAS-STING pathway,thereby reducing the secretion of inflammatory factors by HSCs to ameliorate liver fibrosis.Conclusions:Interrupting the cGAS-STING pathway helped reverse the fibrosis process.Naringenin has potential as an antihepatic fibrosis drug.
文摘Background:Microsatellite instability(MSI)is a key biomarker for cancer immunotherapy and prognosis.Integration of MSI testing into a next-generation-sequencing(NGS)panel could save tissue sample,reduce turn-around time and cost,and provide MSI status and comprehensive genomic profiling in single test.We aimed to develop an MSI calling model to detect MSI status along with the NGS panel-based profiling test using tumor-only samples.Methods:From January 2019 to December 2020,a total of 174 colorectal cancer(CRC)patients were enrolled,including 31 MSI-high(MSI-H)and 143 microsatellite stability(MSS)cases.Among them,56 paired tumor and normal samples(10 MSI-H and 46 MSS)were used for modeling,and another 118 tumor-only samples were used for validation.MSI polymerase chain reaction(MSI-PCR)was performed as the gold standard.A baseline was built for the selected microsatellite loci using the NGS data of 56 normal blood samples.An MSI detection model was constructed by analyzing the NGS data of tissue samples.The performance of the model was compared with the results of MSI-PCR.Results:We first intersected the target genomic regions of the NGS panels used in this study to select common microsatellite loci.A total of 42 loci including 23 mononucleotide repeat sites and 19 longer repeat sites were candidates for modeling.As mononucleotide repeat sites are more sensitive and specific for detecting MSI status than sites with longer length motif and the mononucleotide repeat sites performed even better than the total sites,a model containing 23 mononucleotide repeat sites was constructed and named Colorectal Cancer Microsatellite Instability test(CRC-MSI).The model achieved 100%sensitivity and 100%specificity when compared with MSI-PCR in both training and validation sets.Furthermore,the CRC-MSI model was robust with the tumor content as low as 6%.In addition,8 out of 10 MSI-H samples showed alternations in the four mismatch repair genes(MLH1,MSH2,MSH6,and PMS2).Conclusion:MSI status can be accurately determined along the targeted NGS panels using only tumor samples.The performance of mononucleotide repeat sites surpasses loci with longer repeat motif in MSI calling.
基金supported by the project of the Natural Science of Ningxia(Nos.2022AAC03642,2020AAC03254)the Southwest University Training Program of Innovation and Entrepreneurship for Undergraduates(No.X202210635563)。
文摘1 Introduction In this letter,we consider the problem of recovering an unknown sparse signal from its few measurements when part of the support prior of the desired signal is available.This problem naturally raises from the compressed sensing(CS),which was proposed by Candès et al.[1]around 2006.Since then,CS has rapidly developed,see,e.g.,[2–5].
基金supported by the National Natural Science Foundation of China(72101066,72131005,72121001,72171062,91846301,and 71772053)Heilongjiang Natural Science Excellent Youth Fund(YQ2022G004)Key Research and Development Projects of Heilongjiang Province(JD22A003).
文摘Numerical weather prediction(NWP)data possess internal inaccuracies,such as low NWP wind speed corresponding to high actual wind power generation.This study is intended to reduce the negative effects of such inaccuracies by proposing a pure data-selection framework(PDF)to choose useful data prior to modeling,thus improving the accuracy of day-ahead wind power forecasting.Briefly,we convert an entire NWP training dataset into many small subsets and then select the best subset combination via a validation set to build a forecasting model.Although a small subset can increase selection flexibility,it can also produce billions of subset combinations,resulting in computational issues.To address this problem,we incorporated metamodeling and optimization steps into PDF.We then proposed a design and analysis of the computer experiments-based metamodeling algorithm and heuristic-exhaustive search optimization algorithm,respectively.Experimental results demonstrate that(1)it is necessary to select data before constructing a forecasting model;(2)using a smaller subset will likely increase selection flexibility,leading to a more accurate forecasting model;(3)PDF can generate a better training dataset than similarity-based data selection methods(e.g.,K-means and support vector classification);and(4)choosing data before building a forecasting model produces a more accurate forecasting model compared with using a machine learning method to construct a model directly.
文摘1.The“room temperature superconductor LK-99”events from the Korean group On 2023 July 22nd,two papers have submitted to the arXiv,which declared that they finished the world's first room temperature ambient pressure superconductor called LK-99(https://arxiv.org/ftp/arxiv/papers/2307/2307.12008.pdf,https://arxiv.org/ftp/arxiv/papers/2307/2307.12037.pdf).
基金supported by National Natural Science Foundation of China(Project No.52077079).
文摘The merits of compressed air energy storage(CAES)include large power generation capacity,long service life,and environmental safety.When a CAES plant is switched to the grid-connected mode and participates in grid regulation,using the traditional control mode with low accuracy can result in excess grid-connected impulse current and junction voltage.This occurs because the CAES output voltage does not match the frequency,amplitude,and phase of the power grid voltage.Therefore,an adaptive linear active disturbance-rejection control(A-LADRC)strategy was proposed.Based on the LADRC strategy,which is more accurate than the traditional proportional integral controller,the proposed controller is enhanced to allow adaptive adjustment of bandwidth parameters,resulting in improved accuracy and response speed.The problem of large impulse current when CAES is switched to the grid-connected mode is addressed,and the frequency fluctuation is reduced.Finally,the effectiveness of the proposed strategy in reducing the impact of CAES on the grid connection was verified using a hardware-in-the-loop simulation platform.The influence of the k value in the adaptive-adjustment formula on the A-LADRC was analyzed through simulation.The anti-interference performance of the control was verified by increasing and decreasing the load during the presynchronization process.
