Rising demand for minerals and metals in high-tech and new energy industries has led to a great interest in exploration of seabed mineral resources.Such resources,including polymetallic nodule(PMN),polymetallic sulphi...Rising demand for minerals and metals in high-tech and new energy industries has led to a great interest in exploration of seabed mineral resources.Such resources,including polymetallic nodule(PMN),polymetallic sulphide(PMS),and cobalt-rich ferromanganese crust(CFC),are considered as an alternative source of metals to terrestrial deposits.Although a considerable number of sea trials of deep-sea mining have been carried out,the deep-sea mining does not achieve the commercial exploitation due to the complexity of deep-sea mining system and deep-sea mining environment.In fact,to achieve commercial deep-sea mining,the technology and equipment of deep-sea mining are the key points.Therefore,the present study presents the development of the technology and equipment of deep-sea mining.It commences with a requirement of technology and equipment for deep-sea mining,including environmental impact,reliability,energy cost,efficiency,etc.Then,a historical perspective and present-day effort related to deep-sea mining vehicles are given,which highlights the evolution of collection mechanism and walking mode of deep-sea mining vehicle.Subsequently,the present study discusses the operation of subsea lifting system and surface support system,shedding light on the crucial equipment and processes.The challenges and prospects in the deep-sea mining are presented in final,including environmental protection,self-propelled crawler,hydraulic pipeline lifting,and intelligent equipment,etc.展开更多
The publisher regrets that the article type for this publication was incorrectly labeled as a Research Article.The correct designation should be Review Article.This correction does not affect the content or conclusion...The publisher regrets that the article type for this publication was incorrectly labeled as a Research Article.The correct designation should be Review Article.This correction does not affect the content or conclusions of the article.The publisher apologizes for any inconvenience caused.展开更多
To investigate formation mechanisms of secondary organic carbon（SOC） in Eastern China,measurements were conducted in an urban site in Shanghai in the summer of 2015. A period of high O3 concentrations（daily peak 〉...To investigate formation mechanisms of secondary organic carbon（SOC） in Eastern China,measurements were conducted in an urban site in Shanghai in the summer of 2015. A period of high O3 concentrations（daily peak 〉 120 ppb） was observed, during which daily maximum SOC concentrations exceeding 9.0 μg/（C·m^3）. Diurnal variations of SOC concentration and SOC/organic carbon（OC） ratio exhibited both daytime and nighttime peaks. The SOC concentrations correlated well with Ox（= O3＋ NO2） and relative humidity in the daytime and nighttime, respectively, suggesting that secondary organic aerosol formation in Shanghai is driven by both photochemical production and aqueous phase reactions. Single particle mass spectrometry was used to examine the formation pathways of SOC. Along with the daytime increase of SOC, the number fraction of elemental carbon（EC） particles coated with OC quickly increased from 38.1% to 61.9% in the size range of 250–2000 nm, which was likely due to gas-to-particle partitioning of photochemically generated semi-volatile organic compounds onto EC particles. In the nighttime, particles rich in OC components were highly hygroscopic, and number fraction of these particles correlated well with relative humidity and SOC/OC nocturnal peaks. Meanwhile, as an aqueous-phase SOC tracer, particles that contained oxalate-Fe（III） complex also peaked at night. These observations suggested that aqueous-phase processes had an important contribution to the SOC nighttime formation. The influence of aerosol acidity on SOC formation was studied by both bulk and single particle level measurements, suggesting that the aqueous-phase formation of SOC was enhanced by particle acidity.展开更多
Background:Curcumin is a plant polyphenol with antitumor properties and inhibits the development of colorectal cancer(CRC).However,as the molecular mechanism associated is still unclear,our study aimed to explore the ...Background:Curcumin is a plant polyphenol with antitumor properties and inhibits the development of colorectal cancer(CRC).However,as the molecular mechanism associated is still unclear,our study aimed to explore the underlying molecular mechanisms by which curcumin inhibits CRC.Methods:HT29 and SW480 cells were treated with curcumin or/and Doxycycline(DOX),and cell viability,colony forming ability,migration and invasion were confirmed by cell counting kit-8(CCK-8),colony forming,Transwell assays.And Yes-associated protein 1(YAP)and PDZ-binding motif(TAZ)signaling-related genes or proteins were analyzed using reverse transcription quantitative real-time PCR(RT-qPCR),western blot,and immunofluorescence assays.Then nude mice xenograft tumor model was constructed,YAP and Ki67 expressions were tested by immunohistochemistry(IHC)staining.Results:In our study,we proved that curcumin significantly inhibited the CRC cell viability,cell migration,and cell invasion abilities.In addition,curcumin inhibited YAP and Transcriptional coactivator with TAZ or the YAP/TAZ signaling axis in CRC cells.Further,in the nude mice model,curcumin treatment significantly decreased the size and weight of xenotransplant tumors.Conclusion:Therefore,curcumin significantly inhibited CRC development and invasion by regulating the YAP/TAZ signaling axis.展开更多
Diabetic foot ulcer(DFU)often evolves into chronic wounds that resist healing over an extended period,sometimes necessitating amputation in severe cases.Traditional wound management approaches generally fail to contro...Diabetic foot ulcer(DFU)often evolves into chronic wounds that resist healing over an extended period,sometimes necessitating amputation in severe cases.Traditional wound management approaches generally fail to control these chronic sores successfully.Thus,it arouses a huge demand in clinic for a novel wound dressing to treat DFU effectively.Hydrogel as an ideal delivery system exhibits excellent loading capacity and sustainable release behavior.It also boasts tunable physical and chemical properties adaptable to diverse biomedical scenarios,making it a suitable material for fabricating functional wound dressings to treat DFU.The hydrogel dressings are classified into hemostatic,antibacterial and anti-inflammatory,and healing-promoting hydrogel dressings by associating the pathogenesis of DFU in this paper.The design and fabrication strategies for the dressings,as well as their therapeutic effects in treating DFU,are extensively reviewed.Additionally,this paper highlights future perspectives of multifunctional hydrogel dressings in DFU treatment.This review aims to provide valuable references for material scientists to design and develop hydrogel wound dressings with enhanced capabilities for DFU treatment,and to further translate them intothe clinic inthefuture.展开更多
Hetero-structures made from vertically stacked monolayers of transition metal dichalcogenides hold great potential for optoelectronic and thermoelectric devices.Discovery of the optimal layered material for specific a...Hetero-structures made from vertically stacked monolayers of transition metal dichalcogenides hold great potential for optoelectronic and thermoelectric devices.Discovery of the optimal layered material for specific applications necessitates the estimation of key material properties,such as electronic band structure and thermal transport coefficients.However,screening of material properties via brute force ab initio calculations of the entire material structure space exceeds the limits of current computing resources.Moreover,the functional dependence of material properties on the structures is often complicated,making simplistic statistical procedures for prediction difficult to employ without large amounts of data collection.Here,we present a Gaussian process regression model,which predicts material properties of an input hetero-structure,as well as an active learning model based on Bayesian optimization,which can efficiently discover the optimal hetero-structure using a minimal number of ab initio calculations.The electronic band gap,conduction/valence band dispersions,and thermoelectric performance are used as representative material properties for prediction and optimization.The Materials Project platform is used for electronic structure computation,while the BoltzTraP code is used to compute thermoelectric properties.Bayesian optimization is shown to significantly reduce the computational cost of discovering the optimal structure when compared with finding an optimal structure by building a regression model to predict material properties.The models can be used for predictions with respect to any material property and our software,including data preparation code based on the Python Materials Genomics(PyMatGen)library as well as python-based machine learning code,is available open source.展开更多
基金the National Science Fund for Distinguished Young Scholars(Grant No.52225107)National Key Research and Development Program of China(Grant No.2021YFC2801503)for funding provided to this work.
文摘Rising demand for minerals and metals in high-tech and new energy industries has led to a great interest in exploration of seabed mineral resources.Such resources,including polymetallic nodule(PMN),polymetallic sulphide(PMS),and cobalt-rich ferromanganese crust(CFC),are considered as an alternative source of metals to terrestrial deposits.Although a considerable number of sea trials of deep-sea mining have been carried out,the deep-sea mining does not achieve the commercial exploitation due to the complexity of deep-sea mining system and deep-sea mining environment.In fact,to achieve commercial deep-sea mining,the technology and equipment of deep-sea mining are the key points.Therefore,the present study presents the development of the technology and equipment of deep-sea mining.It commences with a requirement of technology and equipment for deep-sea mining,including environmental impact,reliability,energy cost,efficiency,etc.Then,a historical perspective and present-day effort related to deep-sea mining vehicles are given,which highlights the evolution of collection mechanism and walking mode of deep-sea mining vehicle.Subsequently,the present study discusses the operation of subsea lifting system and surface support system,shedding light on the crucial equipment and processes.The challenges and prospects in the deep-sea mining are presented in final,including environmental protection,self-propelled crawler,hydraulic pipeline lifting,and intelligent equipment,etc.
文摘The publisher regrets that the article type for this publication was incorrectly labeled as a Research Article.The correct designation should be Review Article.This correction does not affect the content or conclusions of the article.The publisher apologizes for any inconvenience caused.
基金supported by the National Natural Science Foundation of China(Nos.91544224,21507010,41775150)the Ministry of Science&Technology of China(No.2012YQ220113-4)the Changjiang Scholars program of the Chinese Ministry of Education
文摘To investigate formation mechanisms of secondary organic carbon（SOC） in Eastern China,measurements were conducted in an urban site in Shanghai in the summer of 2015. A period of high O3 concentrations（daily peak 〉 120 ppb） was observed, during which daily maximum SOC concentrations exceeding 9.0 μg/（C·m^3）. Diurnal variations of SOC concentration and SOC/organic carbon（OC） ratio exhibited both daytime and nighttime peaks. The SOC concentrations correlated well with Ox（= O3＋ NO2） and relative humidity in the daytime and nighttime, respectively, suggesting that secondary organic aerosol formation in Shanghai is driven by both photochemical production and aqueous phase reactions. Single particle mass spectrometry was used to examine the formation pathways of SOC. Along with the daytime increase of SOC, the number fraction of elemental carbon（EC） particles coated with OC quickly increased from 38.1% to 61.9% in the size range of 250–2000 nm, which was likely due to gas-to-particle partitioning of photochemically generated semi-volatile organic compounds onto EC particles. In the nighttime, particles rich in OC components were highly hygroscopic, and number fraction of these particles correlated well with relative humidity and SOC/OC nocturnal peaks. Meanwhile, as an aqueous-phase SOC tracer, particles that contained oxalate-Fe（III） complex also peaked at night. These observations suggested that aqueous-phase processes had an important contribution to the SOC nighttime formation. The influence of aerosol acidity on SOC formation was studied by both bulk and single particle level measurements, suggesting that the aqueous-phase formation of SOC was enhanced by particle acidity.
基金This work was financially supported by the Second Batch of Medical and Health Science and Technology Plan(self-financing)Projects in Shantou in 2020,Shantou Science and Technology Bureau Document Shantou([2020]No.58).
文摘Background:Curcumin is a plant polyphenol with antitumor properties and inhibits the development of colorectal cancer(CRC).However,as the molecular mechanism associated is still unclear,our study aimed to explore the underlying molecular mechanisms by which curcumin inhibits CRC.Methods:HT29 and SW480 cells were treated with curcumin or/and Doxycycline(DOX),and cell viability,colony forming ability,migration and invasion were confirmed by cell counting kit-8(CCK-8),colony forming,Transwell assays.And Yes-associated protein 1(YAP)and PDZ-binding motif(TAZ)signaling-related genes or proteins were analyzed using reverse transcription quantitative real-time PCR(RT-qPCR),western blot,and immunofluorescence assays.Then nude mice xenograft tumor model was constructed,YAP and Ki67 expressions were tested by immunohistochemistry(IHC)staining.Results:In our study,we proved that curcumin significantly inhibited the CRC cell viability,cell migration,and cell invasion abilities.In addition,curcumin inhibited YAP and Transcriptional coactivator with TAZ or the YAP/TAZ signaling axis in CRC cells.Further,in the nude mice model,curcumin treatment significantly decreased the size and weight of xenotransplant tumors.Conclusion:Therefore,curcumin significantly inhibited CRC development and invasion by regulating the YAP/TAZ signaling axis.
基金funded by the Science and Technology Innovation Project,China Academy of Chinese Medical Sciences,clinical study on the effect of modified Bu yang Huan wu decoction combined with early anticoagulant intervention on the prevention of lower extremity deep vein thrombosis syndrome(CI2021A01905)。
文摘Diabetic foot ulcer(DFU)often evolves into chronic wounds that resist healing over an extended period,sometimes necessitating amputation in severe cases.Traditional wound management approaches generally fail to control these chronic sores successfully.Thus,it arouses a huge demand in clinic for a novel wound dressing to treat DFU effectively.Hydrogel as an ideal delivery system exhibits excellent loading capacity and sustainable release behavior.It also boasts tunable physical and chemical properties adaptable to diverse biomedical scenarios,making it a suitable material for fabricating functional wound dressings to treat DFU.The hydrogel dressings are classified into hemostatic,antibacterial and anti-inflammatory,and healing-promoting hydrogel dressings by associating the pathogenesis of DFU in this paper.The design and fabrication strategies for the dressings,as well as their therapeutic effects in treating DFU,are extensively reviewed.Additionally,this paper highlights future perspectives of multifunctional hydrogel dressings in DFU treatment.This review aims to provide valuable references for material scientists to design and develop hydrogel wound dressings with enhanced capabilities for DFU treatment,and to further translate them intothe clinic inthefuture.
基金This work was supported as part of the Computational Materials Sciences Program funded by the US Department of Energy,Office of Science,Basic Energy Sciences,under Award Number DE-SC0014607Calculations were performed at the Center for High Performance Computing of the University of Southern California,as well as the National Energy Research Scientific Computing Center,a DOE Office of Science User Facility supported by the Office of Science of the US Department of Energy under Contract No.DE-AC02-05CH11231.
文摘Hetero-structures made from vertically stacked monolayers of transition metal dichalcogenides hold great potential for optoelectronic and thermoelectric devices.Discovery of the optimal layered material for specific applications necessitates the estimation of key material properties,such as electronic band structure and thermal transport coefficients.However,screening of material properties via brute force ab initio calculations of the entire material structure space exceeds the limits of current computing resources.Moreover,the functional dependence of material properties on the structures is often complicated,making simplistic statistical procedures for prediction difficult to employ without large amounts of data collection.Here,we present a Gaussian process regression model,which predicts material properties of an input hetero-structure,as well as an active learning model based on Bayesian optimization,which can efficiently discover the optimal hetero-structure using a minimal number of ab initio calculations.The electronic band gap,conduction/valence band dispersions,and thermoelectric performance are used as representative material properties for prediction and optimization.The Materials Project platform is used for electronic structure computation,while the BoltzTraP code is used to compute thermoelectric properties.Bayesian optimization is shown to significantly reduce the computational cost of discovering the optimal structure when compared with finding an optimal structure by building a regression model to predict material properties.The models can be used for predictions with respect to any material property and our software,including data preparation code based on the Python Materials Genomics(PyMatGen)library as well as python-based machine learning code,is available open source.
