The spectral memory effect in scattering media is crucial for applications that employ broadband illumination,as it dictates the available spectral range from independent scattering responses.Previous studies mainly c...The spectral memory effect in scattering media is crucial for applications that employ broadband illumination,as it dictates the available spectral range from independent scattering responses.Previous studies mainly considered a passive result with the average impact of the scattering medium,whereas it is vital to actively enhance or suppress this effect for applications concerned with large spectral range or fine resolution.We construct an analytical model by integrating the concepts of wave-based interference and photon-based propagation,which manifests a potential physical image for active manipulation by utilizing scattering eigenchannels.Our theoretical predictions indicate that the spectral memory effect is enhanced using high-transmission eigenchannels while it is suppressed using low-transmission eigenchannels.These predictions are supported by finite-difference time-domain simulations and experiments,demonstrating that the spectral memory effect’s range can be actively manipulated.Quantitatively,the experiments achieved variations in enhancement and suppression that exceeded threefold(∼3.27).We clarify the underlying principles of the spectral memory effect in scattering media and demonstrate active manipulation of multispectral scattering processes.展开更多
As China-US relations and COVID-19 situation are getting more and more serious,the cooperation between the Guangdong and Portuguesespeaking countries may also be affected.This article starts with the research on the c...As China-US relations and COVID-19 situation are getting more and more serious,the cooperation between the Guangdong and Portuguesespeaking countries may also be affected.This article starts with the research on the cooperation mechanism and situation between China and Brazil under the Belt and Road Initiative.It uses SWOT to analyze Brazil's innovation advantages and shortcomings,the opportunities brought by scientific and technological cooperation and how to handle to the corresponding threats.This article attempts to propose areas and suggestions for the development of scientific and technological cooperation between the two sides.展开更多
President Xi,focusing on building a new pattern of all-round opening up to the outside world and promoting the common prosperity and progress of all countries,put forward a major proposal for the construction of the S...President Xi,focusing on building a new pattern of all-round opening up to the outside world and promoting the common prosperity and progress of all countries,put forward a major proposal for the construction of the Silk Road Economic Belt and the maritime Silk Road in twenty-first Century.The bay area economy as an important coastal economic form,is the highlight of the current international economic map,and is a significant symbol of the world's first-class coastal city.The international first-class bay areas,such as New York Bay area,San Francisco Bay area and Tokyo Bay area,are characterized by openness,innovation,livability and internationalization.The Guangdong-Hong Kong-Macao Greater Bay Area has four worldclass cities,name Guangzhou,Shenzhen,Hong Kong and Macao,and the Pearl River Delta city cluster.It has an open economic structure,efficient resource allocation ability,strong agglomeration and spillover function and development international communication network plays a core function of leading innovation and gathering radiation.It is an important growth pole for promoting the economic development of the maritime Silk Road and a leader in technological change.With the help of Portugal's geographical position on the maritime Silk Road and market access advantages within the EU system,the Greater Bay Area should further deepen scientific and technological cooperation,improve the ability of scientific and technological innovation of both sides,let the scientific research subjects of the bay area help Portugal's scientific and technological development,and enhance PortugaFs scientific and technological position in the EU.From the perspective of the Belt and Road Initiative,combined with the basic situation and cooperation of China,especially Guangdong,Hong Kong and Macao,and the development of science and technology in Portugal,this article explores the technological fields,policy measures that are suitable for scientific and technological cooperation between the two sides,and puts forward corresponding suggestions to contribute to the technological development of China,Portugal and the global economic and social sustainable development.展开更多
Single-pixel imaging(SPI)is a promising technology for optical imaging beyond the visible spectrum,where commercial cameras are expensive or unavailable.However,limitations such as slow pattern projection rates and ti...Single-pixel imaging(SPI)is a promising technology for optical imaging beyond the visible spectrum,where commercial cameras are expensive or unavailable.However,limitations such as slow pattern projection rates and time-consuming reconstruction algorithms hinder its throughput for real-time imaging.Consequently,conventional SPI is inadequate for high-speed,high-resolution tasks.To address these challenges,we developed an ultrahigh-throughput single-pixel complex-field microscopy(SPCM)system utilizing frequency-comb acousto-optic coherent encoding(FACE).This system enables real-time complex-field monitoring in the non-visible domain.Operating at 1030 nm,our system achieves a record-high space-bandwidth-time product(SBP-T)of 1.3×10^(7),surpassing previous SPCM(~10^(4)),SPI(~10^(5)),and even certain types of commercial near-infrared cameras(~10^(6)).It supports real-time streaming at 1000 Hz with a frame size of 80×81 pixels and a lateral resolution of 3.76μm across an approximately 300μm field of view.We validated the system by imaging dynamic transparent scenes,including microfluidics,live microorganisms,chemical reactions,as well as imaging through scattering media.This advancement offers a superior solution for high-speed,high-resolution complex-field imaging beyond the visible spectrum,significantly enhancing SPI performance across various applications.展开更多
Over the past few decades,extensive scientific has been dedicated to polymer synthesis employing renewable resources.In this study,we devised and synthesized multifunctional polyeugenol-based nanoparticles,exhibiting ...Over the past few decades,extensive scientific has been dedicated to polymer synthesis employing renewable resources.In this study,we devised and synthesized multifunctional polyeugenol-based nanoparticles,exhibiting remarkable antioxidant and antibacterial properties.The grafting of eugenol onto the nanoparticle surface was achieved via a thiol-ene chemical reaction with a grafting rate of 3.5%.To comprehend the properties of the synthesized nanoparticles,we employed Fourier transform infrared spectroscopy,X-ray photoelectron spectroscopy and pyrolysis-gas chromatography mass spectrometry.Subsequent scanning electron microscopic and transmission electron microscopic analyses revealed the presence of a crosslinked structure within the polyeugenol-based nanoparticles,as well as a heteroge-neous microsphere structure on the surface.Due to the inherent crosslinking structure,the polyeugenol-based nanoparticles demonstrated robust the resistance to solvents,as ascertained through thermog-ravimetric analysis and solvent resistance tests.Notably,nitrogen adsorption/desorption studies confirmed the adsorption capacity of the polyeugenol-based nanoparticles,rendering them potentially suitable for drug transport applications.Moreover,the assays for assessing cytocompatibility and reactive oxygen species scavenging activities demonstrated better performance of the eugenol-based nano-particles compared to eugenol.Furthermore,the polyeugenol-based nanoparticles exhibited certain bactericidal activities against Escherichia coli,Staphylococcus aureus,and Fusobacterium nucleatum.Consequently,these observations indicated the nontoxic nature and expansive application prospects of the polyeugenol-based nanoparticles in the domains of medicine and food preservation.This work presented a pioneering concept for the development of antioxidant and antibacterial multifunctional polymer materials derived from eugenol.展开更多
Tomographic particle image velocimetry(Tomo-PIV)has been successfully applied in measuring three-dimensional(3D)flow field in recent years.Such technology highly relies on the reconstruction technique which provides t...Tomographic particle image velocimetry(Tomo-PIV)has been successfully applied in measuring three-dimensional(3D)flow field in recent years.Such technology highly relies on the reconstruction technique which provides the spatial particle distribution by using images from multiple cameras at different viewing angles.As the most popular reconstruction method,the multiplicative algebraic reconstruction technique(MART)has advantages in high computational speed and high accuracy for low particle seeding reconstruction.However,the accuracy is not satisfactory in the case of dense particle distributions to be reconstructed.To overcome this problem,a symmetric encode-decoder fully convolutional network is proposed in this paper to improve the reconstruction quality of MART.The input of the neural network is the particle field reconstructed by the MART approach,while the output is the regenerated image with the same resolution.Numerical evaluations indicate that those blurred or irregular particles can be significantly refined by the trained neural network.Most of the ghost particles can also be removed by this filtering method.The reconstruction accuracy can be improved by more than 10%without increasing the computational cost.Experimental evaluations indicate that the trained neural network can also provide similar satisfactory reconstruction and improved velocity fields.展开更多
Dear Editor,Glioblastoma(GBM)is a lethal primary brain cancer,with a median survival of less than 2 years.1 Immune checkpoint blockades(ICBs)have revolutionized cancer therapy in the last decade,but they have little c...Dear Editor,Glioblastoma(GBM)is a lethal primary brain cancer,with a median survival of less than 2 years.1 Immune checkpoint blockades(ICBs)have revolutionized cancer therapy in the last decade,but they have little clinical benefit in GBM.1 Genomic and transcriptomic analysis revealed a significant enrichment of PTEN mutations in GBM patients resistant to ICBs.2 PTEN deficiency activates the phosphatidylinositol 3-kinase(PI3K)-AKT pathway to shape an immunosuppressive microenvironment.展开更多
Particle image velocimetry(PIV)is an essential method in experimental fluid dynamics.In recent years,the development of deep learning‐based methods has inspired new ap-proaches to tackle the PIV problem,which conside...Particle image velocimetry(PIV)is an essential method in experimental fluid dynamics.In recent years,the development of deep learning‐based methods has inspired new ap-proaches to tackle the PIV problem,which considerably improves the accuracy of PIV.However,the supervised learning of PIV is driven by large volumes of data with ground truth information.Therefore,the authors consider unsupervised PIV methods.There has been some work on unsupervised PIV,but they are not nearly as effective as supervised learning PIV.The authors try to improve the effectiveness and accuracy of unsupervised PIV by adding classical PIV methods and physical constraints.In this paper,the authors propose an unsupervised PIV method combined with the cross‐correlation method and divergence‐free constraint,which obtains better performance than other unsupervised PIV methods.The authors compare some classical PIV methods and some deep learning methods,such as LiteFlowNet,LiteFlowNet‐en,and UnLiteFlowNet with the authors’model on the synthetic dataset.Besides,the authors contrast the results of LiteFlowNet,UnLiteFlowNet and the authors’model on experimental particle images.As a result,the authors’model shows comparable performance with classical PIV methods as well as supervised PIV methods and outperforms the previous unsupervised PIV method in most flow cases.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.12325408,92150102,62205302,92150301,12274129,12074121,62105101,62175066,12274139,and 12404380)the Fundamental and Applied Basic Research Project of Guangzhou(Grant No.2024A04J2001)the Guangdong Basic and Applied Basic Research Foundation(Grant Nos.2024B1515020051 and 2023A1515110742).
文摘The spectral memory effect in scattering media is crucial for applications that employ broadband illumination,as it dictates the available spectral range from independent scattering responses.Previous studies mainly considered a passive result with the average impact of the scattering medium,whereas it is vital to actively enhance or suppress this effect for applications concerned with large spectral range or fine resolution.We construct an analytical model by integrating the concepts of wave-based interference and photon-based propagation,which manifests a potential physical image for active manipulation by utilizing scattering eigenchannels.Our theoretical predictions indicate that the spectral memory effect is enhanced using high-transmission eigenchannels while it is suppressed using low-transmission eigenchannels.These predictions are supported by finite-difference time-domain simulations and experiments,demonstrating that the spectral memory effect’s range can be actively manipulated.Quantitatively,the experiments achieved variations in enhancement and suppression that exceeded threefold(∼3.27).We clarify the underlying principles of the spectral memory effect in scattering media and demonstrate active manipulation of multispectral scattering processes.
基金supported by the Guangdong Province Science and Technology Project"Guangdong Province Industry-University-Research Collaborative Innovation Model"(2015A080804003)。
文摘As China-US relations and COVID-19 situation are getting more and more serious,the cooperation between the Guangdong and Portuguesespeaking countries may also be affected.This article starts with the research on the cooperation mechanism and situation between China and Brazil under the Belt and Road Initiative.It uses SWOT to analyze Brazil's innovation advantages and shortcomings,the opportunities brought by scientific and technological cooperation and how to handle to the corresponding threats.This article attempts to propose areas and suggestions for the development of scientific and technological cooperation between the two sides.
基金supported by the Guangdong Province Science and Technology Project"Guangdong Province Industry-University-Research Collaborative Innovation Model"(2015A080804003)。
文摘President Xi,focusing on building a new pattern of all-round opening up to the outside world and promoting the common prosperity and progress of all countries,put forward a major proposal for the construction of the Silk Road Economic Belt and the maritime Silk Road in twenty-first Century.The bay area economy as an important coastal economic form,is the highlight of the current international economic map,and is a significant symbol of the world's first-class coastal city.The international first-class bay areas,such as New York Bay area,San Francisco Bay area and Tokyo Bay area,are characterized by openness,innovation,livability and internationalization.The Guangdong-Hong Kong-Macao Greater Bay Area has four worldclass cities,name Guangzhou,Shenzhen,Hong Kong and Macao,and the Pearl River Delta city cluster.It has an open economic structure,efficient resource allocation ability,strong agglomeration and spillover function and development international communication network plays a core function of leading innovation and gathering radiation.It is an important growth pole for promoting the economic development of the maritime Silk Road and a leader in technological change.With the help of Portugal's geographical position on the maritime Silk Road and market access advantages within the EU system,the Greater Bay Area should further deepen scientific and technological cooperation,improve the ability of scientific and technological innovation of both sides,let the scientific research subjects of the bay area help Portugal's scientific and technological development,and enhance PortugaFs scientific and technological position in the EU.From the perspective of the Belt and Road Initiative,combined with the basic situation and cooperation of China,especially Guangdong,Hong Kong and Macao,and the development of science and technology in Portugal,this article explores the technological fields,policy measures that are suitable for scientific and technological cooperation between the two sides,and puts forward corresponding suggestions to contribute to the technological development of China,Portugal and the global economic and social sustainable development.
基金supported in part by the National Natural Science Foundation of China(12404380,12325408,12274129,12374274,12274139,62175069,62175066,62475070,12474404)the Fundamental and Applied Basic Research Project of Guangzhou(2024A04J2001)+2 种基金the Guangdong Basic and Applied Basic Research Foundation(2023A1515110742,2023B1515120044,2024B1515020051)Shanghai Municipal Education Commission(2024AI01007)Science and Technology Commission of Shanghai Municipality(QNKJ2024031).
文摘Single-pixel imaging(SPI)is a promising technology for optical imaging beyond the visible spectrum,where commercial cameras are expensive or unavailable.However,limitations such as slow pattern projection rates and time-consuming reconstruction algorithms hinder its throughput for real-time imaging.Consequently,conventional SPI is inadequate for high-speed,high-resolution tasks.To address these challenges,we developed an ultrahigh-throughput single-pixel complex-field microscopy(SPCM)system utilizing frequency-comb acousto-optic coherent encoding(FACE).This system enables real-time complex-field monitoring in the non-visible domain.Operating at 1030 nm,our system achieves a record-high space-bandwidth-time product(SBP-T)of 1.3×10^(7),surpassing previous SPCM(~10^(4)),SPI(~10^(5)),and even certain types of commercial near-infrared cameras(~10^(6)).It supports real-time streaming at 1000 Hz with a frame size of 80×81 pixels and a lateral resolution of 3.76μm across an approximately 300μm field of view.We validated the system by imaging dynamic transparent scenes,including microfluidics,live microorganisms,chemical reactions,as well as imaging through scattering media.This advancement offers a superior solution for high-speed,high-resolution complex-field imaging beyond the visible spectrum,significantly enhancing SPI performance across various applications.
基金support from the Lishui Science and Technology Bureau project (grant No.2019SJZC37)Lishui Lvgu Famous Doctor Talent Training project,the Science and Technology Research Projects of Lishui Science and Technology Bureau (grant No.2020GYX02)Zhejiang Province"13th Five Year Plan"Provincial Industry University Cooperation Collaborative Education project.
文摘Over the past few decades,extensive scientific has been dedicated to polymer synthesis employing renewable resources.In this study,we devised and synthesized multifunctional polyeugenol-based nanoparticles,exhibiting remarkable antioxidant and antibacterial properties.The grafting of eugenol onto the nanoparticle surface was achieved via a thiol-ene chemical reaction with a grafting rate of 3.5%.To comprehend the properties of the synthesized nanoparticles,we employed Fourier transform infrared spectroscopy,X-ray photoelectron spectroscopy and pyrolysis-gas chromatography mass spectrometry.Subsequent scanning electron microscopic and transmission electron microscopic analyses revealed the presence of a crosslinked structure within the polyeugenol-based nanoparticles,as well as a heteroge-neous microsphere structure on the surface.Due to the inherent crosslinking structure,the polyeugenol-based nanoparticles demonstrated robust the resistance to solvents,as ascertained through thermog-ravimetric analysis and solvent resistance tests.Notably,nitrogen adsorption/desorption studies confirmed the adsorption capacity of the polyeugenol-based nanoparticles,rendering them potentially suitable for drug transport applications.Moreover,the assays for assessing cytocompatibility and reactive oxygen species scavenging activities demonstrated better performance of the eugenol-based nano-particles compared to eugenol.Furthermore,the polyeugenol-based nanoparticles exhibited certain bactericidal activities against Escherichia coli,Staphylococcus aureus,and Fusobacterium nucleatum.Consequently,these observations indicated the nontoxic nature and expansive application prospects of the polyeugenol-based nanoparticles in the domains of medicine and food preservation.This work presented a pioneering concept for the development of antioxidant and antibacterial multifunctional polymer materials derived from eugenol.
基金This work was supported in parts by the National Natural Science Foundation of China under grant no.61973270the Foundation for Innovative Research Groups of the National Natural Science Foundation of China under grant no.61621002the Fundamental Research Funds for Central Universities.
文摘Tomographic particle image velocimetry(Tomo-PIV)has been successfully applied in measuring three-dimensional(3D)flow field in recent years.Such technology highly relies on the reconstruction technique which provides the spatial particle distribution by using images from multiple cameras at different viewing angles.As the most popular reconstruction method,the multiplicative algebraic reconstruction technique(MART)has advantages in high computational speed and high accuracy for low particle seeding reconstruction.However,the accuracy is not satisfactory in the case of dense particle distributions to be reconstructed.To overcome this problem,a symmetric encode-decoder fully convolutional network is proposed in this paper to improve the reconstruction quality of MART.The input of the neural network is the particle field reconstructed by the MART approach,while the output is the regenerated image with the same resolution.Numerical evaluations indicate that those blurred or irregular particles can be significantly refined by the trained neural network.Most of the ghost particles can also be removed by this filtering method.The reconstruction accuracy can be improved by more than 10%without increasing the computational cost.Experimental evaluations indicate that the trained neural network can also provide similar satisfactory reconstruction and improved velocity fields.
基金The work is supported by tWwhe National Natural Science Foundation of China(NSFC Grant#81620108020�,to D.G.,Grant#81803568,to F.X.,Grant#31800151,to J.W.)Guangdong Zhujiang Talents Program(to D.G.)+2 种基金Natural Science Foundation of Guangdong Province(Grant#2018A030310099 to F.X.)Shenzhen Science and Technology Program(Grant#KQTD20180411143323605 and#JSGG20200225150431472 to D.G.,Grant#JCYJ20170818162249554,to FX)National Ten-thousand Talents Program(to D.G.).
文摘Dear Editor,Glioblastoma(GBM)is a lethal primary brain cancer,with a median survival of less than 2 years.1 Immune checkpoint blockades(ICBs)have revolutionized cancer therapy in the last decade,but they have little clinical benefit in GBM.1 Genomic and transcriptomic analysis revealed a significant enrichment of PTEN mutations in GBM patients resistant to ICBs.2 PTEN deficiency activates the phosphatidylinositol 3-kinase(PI3K)-AKT pathway to shape an immunosuppressive microenvironment.
基金Natural Science Foundation of Zhejiang Province,Grant/Award Number:LY21F030003National Key Research and Development Program of China,Grant/Award Number:2019YFB1705800National Natural Science Foundation of China,Grant/Award Number:61973270。
文摘Particle image velocimetry(PIV)is an essential method in experimental fluid dynamics.In recent years,the development of deep learning‐based methods has inspired new ap-proaches to tackle the PIV problem,which considerably improves the accuracy of PIV.However,the supervised learning of PIV is driven by large volumes of data with ground truth information.Therefore,the authors consider unsupervised PIV methods.There has been some work on unsupervised PIV,but they are not nearly as effective as supervised learning PIV.The authors try to improve the effectiveness and accuracy of unsupervised PIV by adding classical PIV methods and physical constraints.In this paper,the authors propose an unsupervised PIV method combined with the cross‐correlation method and divergence‐free constraint,which obtains better performance than other unsupervised PIV methods.The authors compare some classical PIV methods and some deep learning methods,such as LiteFlowNet,LiteFlowNet‐en,and UnLiteFlowNet with the authors’model on the synthetic dataset.Besides,the authors contrast the results of LiteFlowNet,UnLiteFlowNet and the authors’model on experimental particle images.As a result,the authors’model shows comparable performance with classical PIV methods as well as supervised PIV methods and outperforms the previous unsupervised PIV method in most flow cases.
