It was reported that the total installed capacity of photovoltaic power in China has reached 43.5 GW [1] at the end of 2015. With the vast territory and abundant solar energy resources in western part of China, more t...It was reported that the total installed capacity of photovoltaic power in China has reached 43.5 GW [1] at the end of 2015. With the vast territory and abundant solar energy resources in western part of China, more than 50 percent of photovoltaic power stations and wind farms were built there. In recent years, influenced by such factors as rapid growth in installed capacity of PV power stations and wind farms, power generation districts far away from power consumption load as well as its mismatch in transmission line, the phenomenon of abandoning solar and wind power has already restricted severely the normal operation of photovoltaic and wind power generation. It has greatly reduced the enthusiasm of the investors and constructors for investing and building power stations. This paper, based on the status in quo of power generation market and power supply in China, analyzes multi-aspect reasons for the phenomenon of abandoning solar and wind power and discusses their solutions.展开更多
The COVID-19 pandemic has created unprecedented challenges worldwide.Artificial intelligence(AI)technolo-gies hold tremendous potential for tackling key aspects of pandemic management and response.In the present revie...The COVID-19 pandemic has created unprecedented challenges worldwide.Artificial intelligence(AI)technolo-gies hold tremendous potential for tackling key aspects of pandemic management and response.In the present review,we discuss the tremendous possibilities of AI technology in addressing the global challenges posed by the COVID-19 pandemic.First,we outline the multiple impacts of the current pandemic on public health,the econ-omy,and society.Next,we focus on the innovative applications of advanced AI technologies in key areas such as COVID-19 prediction,detection,control,and drug discovery for treatment.Specifically,AI-based predictive analytics models can use clinical,epidemiological,and omics data to forecast disease spread and patient out-comes.Additionally,deep neural networks enable rapid diagnosis through medical imaging.Intelligent systems can support risk assessment,decision-making,and social sensing,thereby improving epidemic control and public health policies.Furthermore,high-throughput virtual screening enables AI to accelerate the identification of ther-apeutic drug candidates and opportunities for drug repurposing.Finally,we discuss future research directions for AI technology in combating COVID-19,emphasizing the importance of interdisciplinary collaboration.Though promising,barriers related to model generalization,data quality,infrastructure readiness,and ethical risks must be addressed to fully translate these innovations into real-world impacts.Multidisciplinary collaboration engag-ing diverse expertise and stakeholders is imperative for developing robust,responsible,and human-centered AI solutions against COVID-19 and future public health emergencies.展开更多
On June 14,2021,a customs officer(Case A)went to the infirmary at Baoan International Airport in Shenzhen due to a runny nose and fever.He was admitted to the Central Hospital of Baoan immediately.This patient prelimi...On June 14,2021,a customs officer(Case A)went to the infirmary at Baoan International Airport in Shenzhen due to a runny nose and fever.He was admitted to the Central Hospital of Baoan immediately.This patient preliminarily tested positive for coronavirus disease 2019(COVID-19)infection,caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),using a quantitative realtime reverse transcription polymerase chain reaction(qRT-PCR)method in this hospital.Then,a mixed specimen of nasopharyngeal swab.展开更多
Screening for coronavirus disease 2019(COVID-19)virus,also known as SARS-CoV-2,infection every seven days was performed for high-risk populations who worked at the Yantian Port in Yantian District,Shenzhen City,Guangd...Screening for coronavirus disease 2019(COVID-19)virus,also known as SARS-CoV-2,infection every seven days was performed for high-risk populations who worked at the Yantian Port in Yantian District,Shenzhen City,Guangdong Province.On May 20,2021,an oropharyngeal swab from a 44-year-old male(Case A)tested preliminarily positive for COVID-19 by a quantitative real-time reverse transcription polymerase chain reaction(RT-qPCR)method in a third-party laboratory.展开更多
Nanozymes are nanomaterials exhibiting intrinsic enzymatic properties,which suggests that inorganic nanoparticles could be bioactive.It’s in 2007,when we introduced the biological methodologies for natural enzymes to...Nanozymes are nanomaterials exhibiting intrinsic enzymatic properties,which suggests that inorganic nanoparticles could be bioactive.It’s in 2007,when we introduced the biological methodologies for natural enzymes to systematically study the enzymatic properties of iron oxide nanoparticles,we discovered nanozymes.We found that nanozymes,just as natural enzymes,are able to catalyze biochemical reactions under the physiological conditions,following the similar enzymatic kinetics and catalytic mechanisms(Gao et al.,2007).Since then,the developments of nanozymes bloomed,and lots of nanomaterials were found exhibiting various enzymatic activities(Huang et ah,2019).展开更多
The evolution of the rust layers on carbon steel and weathering steel in high humidity and heat marine atmospheric environment was investigated by wet/dry cyclic acceleration corrosion tests in this study.The corrosio...The evolution of the rust layers on carbon steel and weathering steel in high humidity and heat marine atmospheric environment was investigated by wet/dry cyclic acceleration corrosion tests in this study.The corrosion process of carbon steel and weathering steel was divided into two stages and the reasons for the changes in the corrosion rates of two steels were different.The composition phase of the inner rust layer of weathering steel was mainly goethite,whereas that of carbon steel was mainly akaganeite.Rust resistance(Rr)performed better than charge transfer resistance(Rt)in evaluating the protection performance of rust layer.As the corrosion proceeded,the evolution of the cathodic process of weathering steel was not obvious,whereas that of carbon steel was irregular.展开更多
Apoptosis is a form of programmed cell death that is essential for maintaining internal environmental stability.Disordered apoptosis can cause a variety of diseases;therefore,sensing apoptosis can provide help in stud...Apoptosis is a form of programmed cell death that is essential for maintaining internal environmental stability.Disordered apoptosis can cause a variety of diseases;therefore,sensing apoptosis can provide help in study of mechanism of the relevant diseases and drug development.It is known that caspase-3 is a key enzyme involved in apoptosis and the expression of its activity is an indication of apoptosis.Here,we present a genetically encoded switch-on m Neon Green2-based molecular biosensor.m Neon Green2 is the brightest monomeric green fluorescent protein.The substrate of caspase-3,DEVD amino acid residues,is inserted in it,while cyclized by insertion of Nostoc punctiforme Dna E intein to abolish the fluorescence(inactive state).Caspase-3-catalyzed cleavage of DEVD linearizes m Neon Green2 and rebuilds the natural barrel structure to restore the fluorescence(activated state).The characterization exhibited that the Caspase-3 biosensor has shortened response time,higher sensitivity,and prolonged functional shelf life in detection of caspase-3 amongst the existing counterparts.We also used the Caspase-3 biosensor to evaluate the effect of several drugs on the induction of apoptosis of He La and MCF-7 tumor cells and inhibition of Zika virus invasion.展开更多
Over Antarctica,surface fluxes play an important role in the local atmospheric dynamical processes.To reveal the surface fluxes characteristics and aerodynamic and thermal roughness lengths over Zhongshan station,Anta...Over Antarctica,surface fluxes play an important role in the local atmospheric dynamical processes.To reveal the surface fluxes characteristics and aerodynamic and thermal roughness lengths over Zhongshan station,Antarctica,this paper analyzes the data observed at the station during 3 March 2008 through 15 February 2009.It is found that easterlies dominated this site throughout the whole year,with a maximum(average)speed of 25(5.6)m s−1 at 3.9 m height,and the annual maximum(minimum)surface temperature reached 291.05(230.05)K,while the annual maximum(minimum)air-specific humidity was 4.1(0.05)g/kg at 3.9 m height.The maximum(minimum)values of seasonal mean temperature,humidity,each radiation components,sensible and latent heat flux occurred in summer(winter),while for the seasonal averaged wind speed andτthe minimums(maximums)appeared in summer(autumn).After comparing with a partially linear regression method for aerodynamic roughness length and four previous equations that derive thermal roughness length from surface Reynolds number,constant values of aerodynamic roughness length as 3.6×10^(−3)m and thermal roughness length as 1.2×10^(−4)m at this site were validated by using the other three level observations and suggested for future studies.展开更多
This paper deals with the qualitative behavior of orbits at degenerate singular point with the method of quasi normal sector, which is a generalization of Frommer's normal sectors. Several examples show that this ...This paper deals with the qualitative behavior of orbits at degenerate singular point with the method of quasi normal sector, which is a generalization of Frommer's normal sectors. Several examples show that this method is more effective than the wellknown methods of Z-sectors, normal sectors and generalized normal sector.展开更多
We analyzed variations in the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)genome during a flight-related cluster outbreak of coronavirus disease 2019(COVID-19)in Shenzhen,China,to explore the characteri...We analyzed variations in the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)genome during a flight-related cluster outbreak of coronavirus disease 2019(COVID-19)in Shenzhen,China,to explore the characteristics of SARS-CoV-2 transmission and intra-host single nucleotide variations(iSNVs)in a confined space.Thirty-three patients with COVID-19 were sampled,and 14 were resampled 3-31 days later.All 47 nasopharyngeal swabs were deep-sequenced.iSNVs and similarities in the consensus genome sequence were analyzed.Three SARS-CoV-2 variants of concern,Delta(n=31),Beta(n=1),and C.1.2(n=1),were detected among the 33 patients.The viral genome sequences from 30 Delta-positive patients had similar SNVs;14 of these patients provided two successive samples.Overall,the 47 sequenced genomes contained 164 iSNVs.Of the 14 paired(successive)samples,the second samples(T2)contained more iSNVs(median:3;95%confidence interval[95%CI]:2.77-10.22)than did the first samples(T1;median:2;95%CI:1.63-3.74;Wilcoxon test,P=0.021).38 iSNVs were detected in T1 samples,and only seven were also detectable in T2 samples.Notably,T2 samples from two of the 14 paired samples had additional mutations than the T1 samples.The iSNVs of the SARS-CoV-2 genome exhibited rapid dynamic changes during a flight-related cluster outbreak event.Intra-host diversity increased gradually with time,and new site mutations occurred in vivo without a population transmission bottleneck.Therefore,we could not determine the generational relationship from the mutation site changes alone.展开更多
文摘It was reported that the total installed capacity of photovoltaic power in China has reached 43.5 GW [1] at the end of 2015. With the vast territory and abundant solar energy resources in western part of China, more than 50 percent of photovoltaic power stations and wind farms were built there. In recent years, influenced by such factors as rapid growth in installed capacity of PV power stations and wind farms, power generation districts far away from power consumption load as well as its mismatch in transmission line, the phenomenon of abandoning solar and wind power has already restricted severely the normal operation of photovoltaic and wind power generation. It has greatly reduced the enthusiasm of the investors and constructors for investing and building power stations. This paper, based on the status in quo of power generation market and power supply in China, analyzes multi-aspect reasons for the phenomenon of abandoning solar and wind power and discusses their solutions.
文摘The COVID-19 pandemic has created unprecedented challenges worldwide.Artificial intelligence(AI)technolo-gies hold tremendous potential for tackling key aspects of pandemic management and response.In the present review,we discuss the tremendous possibilities of AI technology in addressing the global challenges posed by the COVID-19 pandemic.First,we outline the multiple impacts of the current pandemic on public health,the econ-omy,and society.Next,we focus on the innovative applications of advanced AI technologies in key areas such as COVID-19 prediction,detection,control,and drug discovery for treatment.Specifically,AI-based predictive analytics models can use clinical,epidemiological,and omics data to forecast disease spread and patient out-comes.Additionally,deep neural networks enable rapid diagnosis through medical imaging.Intelligent systems can support risk assessment,decision-making,and social sensing,thereby improving epidemic control and public health policies.Furthermore,high-throughput virtual screening enables AI to accelerate the identification of ther-apeutic drug candidates and opportunities for drug repurposing.Finally,we discuss future research directions for AI technology in combating COVID-19,emphasizing the importance of interdisciplinary collaboration.Though promising,barriers related to model generalization,data quality,infrastructure readiness,and ethical risks must be addressed to fully translate these innovations into real-world impacts.Multidisciplinary collaboration engag-ing diverse expertise and stakeholders is imperative for developing robust,responsible,and human-centered AI solutions against COVID-19 and future public health emergencies.
基金Shenzhen Science and Technology Innovation Commission Key project(no.JSGG20200225152648408)the Shenzhen Science and Technology Innovation Commission COVID-19 Special Fund(no.JSGG20200207161926465)Sanming Project of Medicine in Shenzhen(No.SZSM202011008).
文摘On June 14,2021,a customs officer(Case A)went to the infirmary at Baoan International Airport in Shenzhen due to a runny nose and fever.He was admitted to the Central Hospital of Baoan immediately.This patient preliminarily tested positive for coronavirus disease 2019(COVID-19)infection,caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),using a quantitative realtime reverse transcription polymerase chain reaction(qRT-PCR)method in this hospital.Then,a mixed specimen of nasopharyngeal swab.
基金Shenzhen Science and Technology Innovation Commission Key project(No.JSGG20200225152648408)the Shenzhen Science and Technology Innovation Commission COVID-19 Special Fund(No.JSGG20200207161926465)Sanming Project of Medicine in Shenzhen(No.SZSM202011008).
文摘Screening for coronavirus disease 2019(COVID-19)virus,also known as SARS-CoV-2,infection every seven days was performed for high-risk populations who worked at the Yantian Port in Yantian District,Shenzhen City,Guangdong Province.On May 20,2021,an oropharyngeal swab from a 44-year-old male(Case A)tested preliminarily positive for COVID-19 by a quantitative real-time reverse transcription polymerase chain reaction(RT-qPCR)method in a third-party laboratory.
基金supported by Sanming Project of Medicine in Shenzhen(SZSM201612031)Chinese Academy of Sciences(YJKYYQ20180048)+5 种基金the National Natural Science Foundation of China(81722024,81772736 and 81571728)the Basic Research Foundation for Shenzhen s Science and Technology(20190726095103499)Project of CAS Laboratory for Nanozyme(KFJ-PTXM-013)the National Key Research and Development Program of China(2017YFA0205501,2017YFA0205503)the Key Research Program of Frontier Sciences of Chinese Academy of Sciences(QYZDY-SSW-SMC013)the Youth Innovation Promotion Association(2014078).
文摘Nanozymes are nanomaterials exhibiting intrinsic enzymatic properties,which suggests that inorganic nanoparticles could be bioactive.It’s in 2007,when we introduced the biological methodologies for natural enzymes to systematically study the enzymatic properties of iron oxide nanoparticles,we discovered nanozymes.We found that nanozymes,just as natural enzymes,are able to catalyze biochemical reactions under the physiological conditions,following the similar enzymatic kinetics and catalytic mechanisms(Gao et al.,2007).Since then,the developments of nanozymes bloomed,and lots of nanomaterials were found exhibiting various enzymatic activities(Huang et ah,2019).
基金supported financially by the National Key R&D Program of China(No.2016YFE0203600)the National Natural Science Foundation of China(No.51571027)the National Environmental Corrosion Platform(NECP).References.
文摘The evolution of the rust layers on carbon steel and weathering steel in high humidity and heat marine atmospheric environment was investigated by wet/dry cyclic acceleration corrosion tests in this study.The corrosion process of carbon steel and weathering steel was divided into two stages and the reasons for the changes in the corrosion rates of two steels were different.The composition phase of the inner rust layer of weathering steel was mainly goethite,whereas that of carbon steel was mainly akaganeite.Rust resistance(Rr)performed better than charge transfer resistance(Rt)in evaluating the protection performance of rust layer.As the corrosion proceeded,the evolution of the cathodic process of weathering steel was not obvious,whereas that of carbon steel was irregular.
基金supported by the National Natural Science Foundation of China(21890743)National Key Research and Development Program of China(2017YFA0205500,2018YFA0902702)the Strategic Priority Research Program of the Chinese Academy of Sciences,China(XDB29050100)。
文摘Apoptosis is a form of programmed cell death that is essential for maintaining internal environmental stability.Disordered apoptosis can cause a variety of diseases;therefore,sensing apoptosis can provide help in study of mechanism of the relevant diseases and drug development.It is known that caspase-3 is a key enzyme involved in apoptosis and the expression of its activity is an indication of apoptosis.Here,we present a genetically encoded switch-on m Neon Green2-based molecular biosensor.m Neon Green2 is the brightest monomeric green fluorescent protein.The substrate of caspase-3,DEVD amino acid residues,is inserted in it,while cyclized by insertion of Nostoc punctiforme Dna E intein to abolish the fluorescence(inactive state).Caspase-3-catalyzed cleavage of DEVD linearizes m Neon Green2 and rebuilds the natural barrel structure to restore the fluorescence(activated state).The characterization exhibited that the Caspase-3 biosensor has shortened response time,higher sensitivity,and prolonged functional shelf life in detection of caspase-3 amongst the existing counterparts.We also used the Caspase-3 biosensor to evaluate the effect of several drugs on the induction of apoptosis of He La and MCF-7 tumor cells and inhibition of Zika virus invasion.
基金广州市科技计划(批准号:201707010426和20180401350)广东省自然科学基金(批准号:2017A030313010)+3 种基金the Ministry of Economy and Competitiveness(批准号:MTM 2016-77278-P)Agencia de Gestio d’Ajuts Universitaris i de Recerca(批准号:2017SGR1617)the European project(批准号:Dynamics-H2020-MSCA-RISE-2017-777911)Barcelona Graduate School of Mathematics(批准号:MDM-2014-0445)资助项目
基金the National Natural Science Foundation of China(Grant Nos.41376005 and 41505004)the National Key Projects of Ministry of Science and Technology of China(2016YFA0602100)+1 种基金the Chinese Polar Environmental Comprehensive Investigation and Assessment Program,and the Open Project Program(KLME1508)the Key Laboratory of Meteorological Disaster of Ministry of Education at Nanjing University of Information Science and Technology。
文摘Over Antarctica,surface fluxes play an important role in the local atmospheric dynamical processes.To reveal the surface fluxes characteristics and aerodynamic and thermal roughness lengths over Zhongshan station,Antarctica,this paper analyzes the data observed at the station during 3 March 2008 through 15 February 2009.It is found that easterlies dominated this site throughout the whole year,with a maximum(average)speed of 25(5.6)m s−1 at 3.9 m height,and the annual maximum(minimum)surface temperature reached 291.05(230.05)K,while the annual maximum(minimum)air-specific humidity was 4.1(0.05)g/kg at 3.9 m height.The maximum(minimum)values of seasonal mean temperature,humidity,each radiation components,sensible and latent heat flux occurred in summer(winter),while for the seasonal averaged wind speed andτthe minimums(maximums)appeared in summer(autumn).After comparing with a partially linear regression method for aerodynamic roughness length and four previous equations that derive thermal roughness length from surface Reynolds number,constant values of aerodynamic roughness length as 3.6×10^(−3)m and thermal roughness length as 1.2×10^(−4)m at this site were validated by using the other three level observations and suggested for future studies.
基金supported by the National Natural Science Foundation of China(No.11401111,No.11171355)the Ph.D.Programs Foundation of Ministry of Education of China(No.20100171110040)
文摘This paper deals with the qualitative behavior of orbits at degenerate singular point with the method of quasi normal sector, which is a generalization of Frommer's normal sectors. Several examples show that this method is more effective than the wellknown methods of Z-sectors, normal sectors and generalized normal sector.
基金the National Natural Science Foundation of China(grant number 82161148009)the Non‐profit Central Research Institute Fund of the Chinese Academy of Medical Science(grant number APL211276910010201002008)+4 种基金the Shenzhen Science and Technology Innovation Commission Key project(grant number JSGG20200225152648408)the Shenzhen Key Medical Discipline Construction Fund(grant number SZXK064)the Key Project of Shenzhen Science and Technology Innovation Commission(grant number KCXFZ2020020110061900)the First Fighting the Epidemic Project of Shenzhen(grant number JSGG 20210901145004012)the key project of Beijing Natural Science Foundation(grant number Z190017).
文摘We analyzed variations in the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)genome during a flight-related cluster outbreak of coronavirus disease 2019(COVID-19)in Shenzhen,China,to explore the characteristics of SARS-CoV-2 transmission and intra-host single nucleotide variations(iSNVs)in a confined space.Thirty-three patients with COVID-19 were sampled,and 14 were resampled 3-31 days later.All 47 nasopharyngeal swabs were deep-sequenced.iSNVs and similarities in the consensus genome sequence were analyzed.Three SARS-CoV-2 variants of concern,Delta(n=31),Beta(n=1),and C.1.2(n=1),were detected among the 33 patients.The viral genome sequences from 30 Delta-positive patients had similar SNVs;14 of these patients provided two successive samples.Overall,the 47 sequenced genomes contained 164 iSNVs.Of the 14 paired(successive)samples,the second samples(T2)contained more iSNVs(median:3;95%confidence interval[95%CI]:2.77-10.22)than did the first samples(T1;median:2;95%CI:1.63-3.74;Wilcoxon test,P=0.021).38 iSNVs were detected in T1 samples,and only seven were also detectable in T2 samples.Notably,T2 samples from two of the 14 paired samples had additional mutations than the T1 samples.The iSNVs of the SARS-CoV-2 genome exhibited rapid dynamic changes during a flight-related cluster outbreak event.Intra-host diversity increased gradually with time,and new site mutations occurred in vivo without a population transmission bottleneck.Therefore,we could not determine the generational relationship from the mutation site changes alone.
