Noble metal nanoparticles exhibit unique surface plasmon resonance dependent optical properties.On this basis,gold nanoparticles(AuNPs)encapsulated in metal–organic frameworks(MOFs)can form AuNPs@MOFs composites to m...Noble metal nanoparticles exhibit unique surface plasmon resonance dependent optical properties.On this basis,gold nanoparticles(AuNPs)encapsulated in metal–organic frameworks(MOFs)can form AuNPs@MOFs composites to modulate the optical properties of fluorescent molecules,which is less reported.In this paper,based on the fluorescence enhancement effect of AuNPs on 2-(2-hydroxyphenyl)-1H-benzimidazole(HPBI)molecules,zeolitic imidazolate framework-8(ZIF-8)crystals with structural stability were introduced.AuNPs@ZIF-8 exhibited a significantly pronounced fluorescence enhancement of the HPBI molecules.In addition,by comparing the fluorescence characteristics of the HPBI molecules adsorbed on AuNPs@ZIF-8 and those captured in AuNPs@ZIF-8,we found that the ZIF-8 can act as a spacer layer with highly effective near-field enhancement.All our preliminary results shed light on future research on the composite structures of noble metal particles and MOFs for fluorescent probes and sensing applications.展开更多
Driven by the goal of“carbon neutrality”and“emission peak”,effectively controlling system carbon emissions has become significantly important to governments around the world.To this end,a novel two-stage low-carbo...Driven by the goal of“carbon neutrality”and“emission peak”,effectively controlling system carbon emissions has become significantly important to governments around the world.To this end,a novel two-stage low-carbon economic scheduling framework that considers the coordinated optimization of ladder-type carbon trading and integrated demand response(IDR)is proposed in this paper for the integrated energy system(IES),where the first stage determines the energy consumption plan of users by leveraging the price-based electrical-heat IDR.In contrast,the second stage minimizes the system total cost to optimize the outputs of generations with consideration of the uncertainty of renewables.In addition,to fully exploit the system’s emission reduction potential,a carbon trading cost model with segmented CO_(2) emission intervals is built by introducing a reward-penalty ladder-type carbon trading mechanism,and the flexible thermal comfort elasticity of customers is taken into account by putting forward a predicted mean vote index on the load side.The CPLEX optimizer resolves the two-stage model,and the study results on a modified IES situated in North China show the proposed model can effectively reduce carbon emissions and guarantee economical efficiency operation of the system.展开更多
The DC distribution network system equipped with a large number of power electronic equipment exhibits weak damping characteristics and is prone to low-frequency and high-frequency unstable oscillations.The current in...The DC distribution network system equipped with a large number of power electronic equipment exhibits weak damping characteristics and is prone to low-frequency and high-frequency unstable oscillations.The current interpretation of the oscillation mechanism has not been unified.Firstly,this paper established the complete statespace model of the distribution system consisting of a large number of electric vehicles,characteristic equation of the distribution network system is derived by establishing a state-space model,and simplified reduced-order equations describing the low-frequency oscillation and the high-frequency oscillation are obtained.Secondly,based on eigenvalue analysis,the oscillation modes and the influence of the key system parameters on the oscillation mode are studied.Besides,impacts of key factors,such as distribution network connection topology and number of dynamic loads,have been discussed to suppress oscillatory instability caused by inappropriate design or dynamic interactions.Finally,using the DC distribution example system,through model calculation and time-domain simulation analysis,the correctness of the aforementioned analysis is verified.展开更多
This paper analyzes the urban spatial structure of Tarim River Basin from the perspectives of urbanization, urban density, grading scales and spatial evolution patterns, using geographical theories and methods, such a...This paper analyzes the urban spatial structure of Tarim River Basin from the perspectives of urbanization, urban density, grading scales and spatial evolution patterns, using geographical theories and methods, such as fractal theory, principle component analysis, urbanization imbalance index, urban scale imbalance indicator, and urban spatial interaction. The results show that the urban spatial structure displays balanced distribution in the overall pattern, while an imbalanced distribution in each region. The development of town pattern tends to be gathering to the central towns in the oasis of Tarim River Basin and a development axis has begun to form along the southern Xinjiang railway. Based on the division of urban hinterland, and the development characteristics of oasis economy, this paper puts forward an urban spatial organization model. This model uses "breakpoint model" and divides Tarim River Basin into five urban clusters: Korla urban cluster, Kuqa urban cluster, Aksu urban cluster, Kashgar urban cluster and Hotan urban cluster. As a conclusion, this article puts forward an overall framework of urban spatial organization in Tarim River Basin: "one axis, double core, and five groups".展开更多
The limited molecular classifications and disease signatures of osteoarthritis(OA)impede the development of prediagnosis and targeted therapeutics for OA patients.To classify and understand the subtypes of OA,we colle...The limited molecular classifications and disease signatures of osteoarthritis(OA)impede the development of prediagnosis and targeted therapeutics for OA patients.To classify and understand the subtypes of OA,we collected three types of tissue including cartilage,subchondral bone,and synovium from multiple clinical centers and constructed an extensive transcriptome atlas of OA patients.By applying unsupervised clustering analysis to the cartilage transcriptome,OA patients were classified into four subtypes with distinct molecular signatures:a glycosaminoglycan metabolic disorder subtype(C1),a collagen metabolic disorder subtype(C2),an activated sensory neuron subtype(C3),and an inflammation subtype(C4).Through ligand-receptor crosstalk analysis of the three knee tissue types,we linked molecular functions with the clinical symptoms of different OA subtypes.For example,the Gene Ontology functional term of vasculature development was enriched in the subchondral bone-cartilage crosstalk of C2 and the cartilage-subchondral bone crosstalk of C4,which might lead to severe osteophytes in C2 patients and apparent joint space narrowing in C4 patients.Based on the marker genes of the four OA subtypes identified in this study,we modeled OA subtypes with two independent published RNA-seq datasets through random forest classification.The findings of this work contradicted traditional OA diagnosis by medical imaging and revealed distinct molecular subtypes in knee OA patients,which may allow for precise diagnosis and treatment of OA.展开更多
The ultrahigh vacuum scanning tunneling microscope(STM)was used to characterize the GaSb_(1-x)Bi_(x) films of a few nanometers thickness grown by the molecular beam epitaxy(MBE)on the GaSb buffer layer of 100 nm with ...The ultrahigh vacuum scanning tunneling microscope(STM)was used to characterize the GaSb_(1-x)Bi_(x) films of a few nanometers thickness grown by the molecular beam epitaxy(MBE)on the GaSb buffer layer of 100 nm with the GaSb(100)substrates.The thickness of the GaSb_(1-x)Bi_(x) layers of the samples are 5 and 10 nm,respectively.For comparison,the GaSb buffer was also characterized and its STM image displays terraces whose surfaces are basically atomically flat and their roughness is generally less than 1 monolayer(ML).The surface of 5 nm GaSb_(1-x)Bi_(x) film reserves the same terraced morphology as the buffer layer.In contrast,the morphology of the 10 nm GaSb_(1-x)Bi_(x) film changes to the mound-like island structures with a height of a few MLs.The result implies the growth mode transition from the two-dimensional mode as displayed by the 5 nm film to the Stranski-Krastinov mode as displayed by the 10 nm film.The statistical analysis with the scanning tunneling spectroscopy(STS)measurements indicates that both the incorporation and the inhomogeneity of Bi atoms increase with the thickness of the GaSb_(1-x)Bi_(x) layer.展开更多
Volumetric combustion has been developed to realize a high substitution ratio of biomass in co-firing boilers, which features an intensive flue gas internal recirculation inside furnace. However, the characteristics o...Volumetric combustion has been developed to realize a high substitution ratio of biomass in co-firing boilers, which features an intensive flue gas internal recirculation inside furnace. However, the characteristics of NOx and SOx emissions in large-scale boilers with volumetric combustion were not fully clear. In this paper, an Aspen Plus model of volumetric combustion system was built up based on a co-firing boiler. In order to characterize the reductions of NOx and SOx, three biomass substitution ratios were involved, namely, 100% biomass, 45% biomass with 55% coal, and 100% coal. The effects of flue gas recirculation ratio, air preheating temperature, oxygen concentration, and fuel types on pollutants emission in the volumetric combustion system were investigated. According to the results, it was concluded the higher substitution ratio of biomass in a co-firing boiler, the lower emissions of NOx and SOx. Moreover, flue gas internal recirculation is an effective pathway for NOx reduction and an increased recirculation ratio resulted in a significant decreasing of NOx emission;however, the SOx increased slightly. The influences of air preheating temperature and O2 concentration on NOx emission were getting weak with increasing of recirculation ratio. When 10% or even higher of flue gas was recycled, it was observed that almost no NOx formed thermodynamically under all studied conditions. Finally, to reach a low emission level of NOx, less energy would be consumed during biomass combustion than coal combustion process for internal recirculation of flue gas.展开更多
Solar resource monitoring and evaluation is the foundation of informatization of photovoltaic power station. In 2016, China began to bring in high-precision solar resource monitoring technology which provides reliable...Solar resource monitoring and evaluation is the foundation of informatization of photovoltaic power station. In 2016, China began to bring in high-precision solar resource monitoring technology which provides reliable basic data for the photovoltaic informatization development. This paper systematically sorts out design basis, monitoring elements and system architecture of high-precision monitoring station, and analyzes operation effect of high-precision solar resource monitoring station from performance of solar radiation meter and prediction results of luminous power, which provide important data support for analysis of power generation efficiency of photovoltaic module, prediction of power generation of power station, evaluation of operation effect of power station, etc.展开更多
Desertification is a serious ecological problem leading to significant biodiversity loss,but how desertification drives shifts in life history and fitness of animals remains understudied.To clarify whether habitat des...Desertification is a serious ecological problem leading to significant biodiversity loss,but how desertification drives shifts in life history and fitness of animals remains understudied.To clarify whether habitat desertification causes shifts in life history strategies,we compared ecological factors and reproductive traits of Phrynocephalus przewalskii from three different desertification habitats-fixed dune,semi-fixed dune and mobile dune of a semi-arid region of Inner Mongolia,at the eastern edge of Hobq Desert,China.Our results showed a significant shift in the egg size-number trade-off of P.przewalskii in response to desertification,with lizards from the mobile dune habitat producing smaller clutches of larger eggs than lizards from the fixed and semi-fixed dune habitats.This life history shift is likely adaptive and driven by abiotic factors(temperature and precipitation)rather than biotic factors(food availability and lizard population density).Our study demonstrates that habitat desertification drives the shift in egg size-number trade-off in a lizard and highlights the importance of exploring the life history responses of animals to habitat desertification as well as to other traditionally well-studied factors like temperature,especially in the context of future global clima te change.展开更多
In this paper,we propose a method to deal with numerical integral by using two kinds of C^2 quasi-interpolation operators on the bivariate spline space,and also dis- cuss the convergence properties and error estimates...In this paper,we propose a method to deal with numerical integral by using two kinds of C^2 quasi-interpolation operators on the bivariate spline space,and also dis- cuss the convergence properties and error estimates.Moreover,the proposed method is applied to the numerical evaluation of 2-D singular integrals.Numerical exper- iments will be carried out and the results will be compared with some previously published results.展开更多
Interleukin I receptor associated kinase 1 (IRAK1) is a downstream signal molecule of activated MyD88 recruitment, which can activate Fas associated death domain protein (FADD) to induce apoptosis. IRAK1 can also acti...Interleukin I receptor associated kinase 1 (IRAK1) is a downstream signal molecule of activated MyD88 recruitment, which can activate Fas associated death domain protein (FADD) to induce apoptosis. IRAK1 can also activate tumor necrosis factor-related factor 6 (TRAF6) and induce the expression of a series of downstream specific genes. IRAK1 is an essential factor in the induction of mitochondrial division and necroptosis. In the current study, RNAi technique was used to silence IRAK1, and the apoptosis and necroptosis rate of SK-Hep1 cells were detected by flow cytometry. The apoptosis and the necroptosis pathway of hepatoma SK-Hep1 cells were blocked separately, and the expressions of FADD, RIP1 and TRAF6 genes were silenced separately. The results showed when the expression of IRAK1 was down-regulated, the apoptosis and necroptosis rate of SK-Hep1 cells were significantly increased. With silenced FADD, RIP1 and TRAF6, respectively, the expression of IRAK1 protein had no significant change. However, the expression of IRAK1 mRNA decreased significantly (p < 0.01) after the silencing of RIP1 and TRAF6 genes, while the IRAK1 mRNA did not change significantly after the silencing of FADD genes;when z-VAD-FMK was interfered, the expression of IRAK1 mRNA decreased significantly after the silencing of TRAF6 genes, while the IRAK1 mRNA did not change significantly after the silencing of FADD and RIP1genes. The study shows that RAK1 gene inhibits apoptosis and necroptosis in SK-Hep1 cells. TRAF6 gene affected the role of IRAK1 in apoptosis and necroptosis, RIP1 gene affected the role of IRAK1 in apoptosis, while FADD gene did not affect the role of IRAK1 in apoptosis and necroptosis.展开更多
The“Internet Plus”business model calls for the optimization of business education in higher education institutes.The fast pace of“Internet Plus”requires business students to have abundant interdisciplinary knowled...The“Internet Plus”business model calls for the optimization of business education in higher education institutes.The fast pace of“Internet Plus”requires business students to have abundant interdisciplinary knowledge,comprehensive modern business skills,habits of lifelong self-learning,and the courage to innovate.This paper proposes that higher education institutes should improve their business education programs in the following ways:firstly,form teaching alliances to provide interdisciplinary learning opportunities for business students;secondly,establish a social practice tutor team from excellent alumni;thirdly,build an online education platform for alumni to develop lifelong autonomous learning habits;finally,explore the three-tutor training model for business students.展开更多
With the wide spread of the epidemic,the long-term closed lifestyle and the sharp reduction of physical activities,many people have mental health problems such as panic,anxiety and depression.At present,there are few ...With the wide spread of the epidemic,the long-term closed lifestyle and the sharp reduction of physical activities,many people have mental health problems such as panic,anxiety and depression.At present,there are few studies on the effect of exercise on depression.Therefore,the study selected exercise intervention therapy and other intervention methods to evaluate the intervention effect of depression,and explored the effect of exercise intervention by evaluating depression scale and effective indicators.Hope this can provide a new idea for exercise intervention as an adjunctive therapy for depression on drug treatment.展开更多
The clinical utilization of doxorubicin(Dox)in various malignancies is restrained by its major adverse effect:irreversible cardiomyopathy.Extensive studies have been done to explore the prevention of Dox cardiomyopath...The clinical utilization of doxorubicin(Dox)in various malignancies is restrained by its major adverse effect:irreversible cardiomyopathy.Extensive studies have been done to explore the prevention of Dox cardiomyopathy.Currently,ferroptosis has been shown to participate in the incidence and development of Dox cardiomyopathy.Sorting Nexin 3(SNX3),the retromer-associated cargo binding protein with important physiological functions,was identified as a potent therapeutic target for cardiac hypertrophy in our previous study.However,few study has shown whether SNX3 plays a critical role in Dox-induced cardiomyopathy.In this study,a decreased level of SNX3 in Dox-induced cardiomyopathy was observed.Cardiac-specific Snx3 knockout(Snx3-cKO)significantly alleviated cardiomyopathy by downregulating Dox-induced ferroptosis significantly.SNX3 was further demonstrated to exacerbate Dox-induced cardiomyopathy via induction of ferroptosis in vivo and in vitro,and cardiac-specific Snx3 transgenic(Snx3-cTg)mice were more susceptible to Dox-induced feroptosis and cardiomyopathy.Mechanistically,SNX3 facilitated the recycling of transferrin 1 receptor(TFRC)via direct interaction,disrupting iron homeostasis,increasing the accumulation of iron,triggering ferroptosis,and eventually exacerbating Dox-induced cardiomyopathy.Overall,these findings established a direct SNX3-TFRC-ferroptosis positive regulatory axis in Dox-induced cardiomyopathy and suggested that targeting SNX3 provided a new effective therapeutic strategy for Dox-induced cardiomyopathy through TFRCdependentferroptosis.展开更多
In the process of collating the raw data,the authors noticed an inadvertent mistake occurred in Fig.3b that needs to be corrected after online publication of the article.In Fig.3b,as a result of an error in the graphi...In the process of collating the raw data,the authors noticed an inadvertent mistake occurred in Fig.3b that needs to be corrected after online publication of the article.In Fig.3b,as a result of an error in the graphics panel arrangement process,the band of NEMO was repeatedly inserted asβ-actin by mistake.The correct band is shown as below and in the updated Fig.3b.The correction did not affect any of our results or discussion as present in the original publication.We regret any inconvenience this has caused.展开更多
Many efforts have been exerted toward screening potential drugs for targets,and conducting wet experiments remains a laborious and time-consuming approach.Artificial intelligence methods,such as Convolutional Neural N...Many efforts have been exerted toward screening potential drugs for targets,and conducting wet experiments remains a laborious and time-consuming approach.Artificial intelligence methods,such as Convolutional Neural Network(CNN),are widely used to facilitate new drug discovery.Owing to the structural limitations of CNN,features extracted from this method are local patterns that lack global information.However,global information extracted from the whole sequence and local patterns extracted from the special domain can influence the drugtarget affinity.A fusion of global information and local patterns can construct neural network calculations closer to actual biological processes.This paper proposes a Fingerprint-embedding framework for Drug-Target binding Affinity prediction(FingerDTA),which uses CNN to extract local patterns and utilize fingerprints to characterize global information.These fingerprints are generated on the basis of the whole sequence of drugs or targets.Furthermore,FingerDTA achieves comparable performance on Davis and KIBA data sets.In the case study of screening potential drugs for the spike protein of the coronavirus disease 2019(COVID-19),7 of the top 10 drugs have been confirmed potential by literature.Ultimately,the docking experiment demonstrates that FingerDTA can find novel drug candidates for targets.All codes are available at http://lanproxy.biodwhu.cn:9099/mszjaas/FingerDTA.git.展开更多
文摘Noble metal nanoparticles exhibit unique surface plasmon resonance dependent optical properties.On this basis,gold nanoparticles(AuNPs)encapsulated in metal–organic frameworks(MOFs)can form AuNPs@MOFs composites to modulate the optical properties of fluorescent molecules,which is less reported.In this paper,based on the fluorescence enhancement effect of AuNPs on 2-(2-hydroxyphenyl)-1H-benzimidazole(HPBI)molecules,zeolitic imidazolate framework-8(ZIF-8)crystals with structural stability were introduced.AuNPs@ZIF-8 exhibited a significantly pronounced fluorescence enhancement of the HPBI molecules.In addition,by comparing the fluorescence characteristics of the HPBI molecules adsorbed on AuNPs@ZIF-8 and those captured in AuNPs@ZIF-8,we found that the ZIF-8 can act as a spacer layer with highly effective near-field enhancement.All our preliminary results shed light on future research on the composite structures of noble metal particles and MOFs for fluorescent probes and sensing applications.
基金supported by the State Grid Shandong Electric Power Company Economic and Technical Research Institute Project(SGSDJY00GPJS2100135).
文摘Driven by the goal of“carbon neutrality”and“emission peak”,effectively controlling system carbon emissions has become significantly important to governments around the world.To this end,a novel two-stage low-carbon economic scheduling framework that considers the coordinated optimization of ladder-type carbon trading and integrated demand response(IDR)is proposed in this paper for the integrated energy system(IES),where the first stage determines the energy consumption plan of users by leveraging the price-based electrical-heat IDR.In contrast,the second stage minimizes the system total cost to optimize the outputs of generations with consideration of the uncertainty of renewables.In addition,to fully exploit the system’s emission reduction potential,a carbon trading cost model with segmented CO_(2) emission intervals is built by introducing a reward-penalty ladder-type carbon trading mechanism,and the flexible thermal comfort elasticity of customers is taken into account by putting forward a predicted mean vote index on the load side.The CPLEX optimizer resolves the two-stage model,and the study results on a modified IES situated in North China show the proposed model can effectively reduce carbon emissions and guarantee economical efficiency operation of the system.
基金supported by the State Grid Shandong Electric Power Company Economic and Technical Research Institute Project(Grant No.SGSDJY00GPJS2100135).
文摘The DC distribution network system equipped with a large number of power electronic equipment exhibits weak damping characteristics and is prone to low-frequency and high-frequency unstable oscillations.The current interpretation of the oscillation mechanism has not been unified.Firstly,this paper established the complete statespace model of the distribution system consisting of a large number of electric vehicles,characteristic equation of the distribution network system is derived by establishing a state-space model,and simplified reduced-order equations describing the low-frequency oscillation and the high-frequency oscillation are obtained.Secondly,based on eigenvalue analysis,the oscillation modes and the influence of the key system parameters on the oscillation mode are studied.Besides,impacts of key factors,such as distribution network connection topology and number of dynamic loads,have been discussed to suppress oscillatory instability caused by inappropriate design or dynamic interactions.Finally,using the DC distribution example system,through model calculation and time-domain simulation analysis,the correctness of the aforementioned analysis is verified.
基金supported by West Light Foundation of the Chinese Academy of Sciences (XBBS200812)the Chinese Academy of Sciences Action-plan for West Development (KZCX2-XB2-03)
文摘This paper analyzes the urban spatial structure of Tarim River Basin from the perspectives of urbanization, urban density, grading scales and spatial evolution patterns, using geographical theories and methods, such as fractal theory, principle component analysis, urbanization imbalance index, urban scale imbalance indicator, and urban spatial interaction. The results show that the urban spatial structure displays balanced distribution in the overall pattern, while an imbalanced distribution in each region. The development of town pattern tends to be gathering to the central towns in the oasis of Tarim River Basin and a development axis has begun to form along the southern Xinjiang railway. Based on the division of urban hinterland, and the development characteristics of oasis economy, this paper puts forward an urban spatial organization model. This model uses "breakpoint model" and divides Tarim River Basin into five urban clusters: Korla urban cluster, Kuqa urban cluster, Aksu urban cluster, Kashgar urban cluster and Hotan urban cluster. As a conclusion, this article puts forward an overall framework of urban spatial organization in Tarim River Basin: "one axis, double core, and five groups".
基金the National Key R&D Program of China(2017YFA0104900)the National Natural Science Foundation of China(81630065,31830029,and 81802195)the China Postdoctoral Science Foundation(2017M621913).
文摘The limited molecular classifications and disease signatures of osteoarthritis(OA)impede the development of prediagnosis and targeted therapeutics for OA patients.To classify and understand the subtypes of OA,we collected three types of tissue including cartilage,subchondral bone,and synovium from multiple clinical centers and constructed an extensive transcriptome atlas of OA patients.By applying unsupervised clustering analysis to the cartilage transcriptome,OA patients were classified into four subtypes with distinct molecular signatures:a glycosaminoglycan metabolic disorder subtype(C1),a collagen metabolic disorder subtype(C2),an activated sensory neuron subtype(C3),and an inflammation subtype(C4).Through ligand-receptor crosstalk analysis of the three knee tissue types,we linked molecular functions with the clinical symptoms of different OA subtypes.For example,the Gene Ontology functional term of vasculature development was enriched in the subchondral bone-cartilage crosstalk of C2 and the cartilage-subchondral bone crosstalk of C4,which might lead to severe osteophytes in C2 patients and apparent joint space narrowing in C4 patients.Based on the marker genes of the four OA subtypes identified in this study,we modeled OA subtypes with two independent published RNA-seq datasets through random forest classification.The findings of this work contradicted traditional OA diagnosis by medical imaging and revealed distinct molecular subtypes in knee OA patients,which may allow for precise diagnosis and treatment of OA.
基金supported by the National Natural Science Foundation of China(Nos.61474073,61874069 and 61804157).
文摘The ultrahigh vacuum scanning tunneling microscope(STM)was used to characterize the GaSb_(1-x)Bi_(x) films of a few nanometers thickness grown by the molecular beam epitaxy(MBE)on the GaSb buffer layer of 100 nm with the GaSb(100)substrates.The thickness of the GaSb_(1-x)Bi_(x) layers of the samples are 5 and 10 nm,respectively.For comparison,the GaSb buffer was also characterized and its STM image displays terraces whose surfaces are basically atomically flat and their roughness is generally less than 1 monolayer(ML).The surface of 5 nm GaSb_(1-x)Bi_(x) film reserves the same terraced morphology as the buffer layer.In contrast,the morphology of the 10 nm GaSb_(1-x)Bi_(x) film changes to the mound-like island structures with a height of a few MLs.The result implies the growth mode transition from the two-dimensional mode as displayed by the 5 nm film to the Stranski-Krastinov mode as displayed by the 10 nm film.The statistical analysis with the scanning tunneling spectroscopy(STS)measurements indicates that both the incorporation and the inhomogeneity of Bi atoms increase with the thickness of the GaSb_(1-x)Bi_(x) layer.
文摘Volumetric combustion has been developed to realize a high substitution ratio of biomass in co-firing boilers, which features an intensive flue gas internal recirculation inside furnace. However, the characteristics of NOx and SOx emissions in large-scale boilers with volumetric combustion were not fully clear. In this paper, an Aspen Plus model of volumetric combustion system was built up based on a co-firing boiler. In order to characterize the reductions of NOx and SOx, three biomass substitution ratios were involved, namely, 100% biomass, 45% biomass with 55% coal, and 100% coal. The effects of flue gas recirculation ratio, air preheating temperature, oxygen concentration, and fuel types on pollutants emission in the volumetric combustion system were investigated. According to the results, it was concluded the higher substitution ratio of biomass in a co-firing boiler, the lower emissions of NOx and SOx. Moreover, flue gas internal recirculation is an effective pathway for NOx reduction and an increased recirculation ratio resulted in a significant decreasing of NOx emission;however, the SOx increased slightly. The influences of air preheating temperature and O2 concentration on NOx emission were getting weak with increasing of recirculation ratio. When 10% or even higher of flue gas was recycled, it was observed that almost no NOx formed thermodynamically under all studied conditions. Finally, to reach a low emission level of NOx, less energy would be consumed during biomass combustion than coal combustion process for internal recirculation of flue gas.
文摘Solar resource monitoring and evaluation is the foundation of informatization of photovoltaic power station. In 2016, China began to bring in high-precision solar resource monitoring technology which provides reliable basic data for the photovoltaic informatization development. This paper systematically sorts out design basis, monitoring elements and system architecture of high-precision monitoring station, and analyzes operation effect of high-precision solar resource monitoring station from performance of solar radiation meter and prediction results of luminous power, which provide important data support for analysis of power generation efficiency of photovoltaic module, prediction of power generation of power station, evaluation of operation effect of power station, etc.
基金supported by grants from the National Natural Science Foundation of China (31861143023, 31821001, and 31570526)China’s Biodiversity Observation Network (Sino-BON)
文摘Desertification is a serious ecological problem leading to significant biodiversity loss,but how desertification drives shifts in life history and fitness of animals remains understudied.To clarify whether habitat desertification causes shifts in life history strategies,we compared ecological factors and reproductive traits of Phrynocephalus przewalskii from three different desertification habitats-fixed dune,semi-fixed dune and mobile dune of a semi-arid region of Inner Mongolia,at the eastern edge of Hobq Desert,China.Our results showed a significant shift in the egg size-number trade-off of P.przewalskii in response to desertification,with lizards from the mobile dune habitat producing smaller clutches of larger eggs than lizards from the fixed and semi-fixed dune habitats.This life history shift is likely adaptive and driven by abiotic factors(temperature and precipitation)rather than biotic factors(food availability and lizard population density).Our study demonstrates that habitat desertification drives the shift in egg size-number trade-off in a lizard and highlights the importance of exploring the life history responses of animals to habitat desertification as well as to other traditionally well-studied factors like temperature,especially in the context of future global clima te change.
基金This project was supported by the National Natural Science Foundation of China （No. 60373093, No. 60533060）.
文摘In this paper,we propose a method to deal with numerical integral by using two kinds of C^2 quasi-interpolation operators on the bivariate spline space,and also dis- cuss the convergence properties and error estimates.Moreover,the proposed method is applied to the numerical evaluation of 2-D singular integrals.Numerical exper- iments will be carried out and the results will be compared with some previously published results.
文摘Interleukin I receptor associated kinase 1 (IRAK1) is a downstream signal molecule of activated MyD88 recruitment, which can activate Fas associated death domain protein (FADD) to induce apoptosis. IRAK1 can also activate tumor necrosis factor-related factor 6 (TRAF6) and induce the expression of a series of downstream specific genes. IRAK1 is an essential factor in the induction of mitochondrial division and necroptosis. In the current study, RNAi technique was used to silence IRAK1, and the apoptosis and necroptosis rate of SK-Hep1 cells were detected by flow cytometry. The apoptosis and the necroptosis pathway of hepatoma SK-Hep1 cells were blocked separately, and the expressions of FADD, RIP1 and TRAF6 genes were silenced separately. The results showed when the expression of IRAK1 was down-regulated, the apoptosis and necroptosis rate of SK-Hep1 cells were significantly increased. With silenced FADD, RIP1 and TRAF6, respectively, the expression of IRAK1 protein had no significant change. However, the expression of IRAK1 mRNA decreased significantly (p < 0.01) after the silencing of RIP1 and TRAF6 genes, while the IRAK1 mRNA did not change significantly after the silencing of FADD genes;when z-VAD-FMK was interfered, the expression of IRAK1 mRNA decreased significantly after the silencing of TRAF6 genes, while the IRAK1 mRNA did not change significantly after the silencing of FADD and RIP1genes. The study shows that RAK1 gene inhibits apoptosis and necroptosis in SK-Hep1 cells. TRAF6 gene affected the role of IRAK1 in apoptosis and necroptosis, RIP1 gene affected the role of IRAK1 in apoptosis, while FADD gene did not affect the role of IRAK1 in apoptosis and necroptosis.
基金the Nanjing University of Finance and Economics 2020 Ideological and Political Demonstration Class Project“Industrial Economics”(Project Number:CQF2020001).
文摘The“Internet Plus”business model calls for the optimization of business education in higher education institutes.The fast pace of“Internet Plus”requires business students to have abundant interdisciplinary knowledge,comprehensive modern business skills,habits of lifelong self-learning,and the courage to innovate.This paper proposes that higher education institutes should improve their business education programs in the following ways:firstly,form teaching alliances to provide interdisciplinary learning opportunities for business students;secondly,establish a social practice tutor team from excellent alumni;thirdly,build an online education platform for alumni to develop lifelong autonomous learning habits;finally,explore the three-tutor training model for business students.
文摘With the wide spread of the epidemic,the long-term closed lifestyle and the sharp reduction of physical activities,many people have mental health problems such as panic,anxiety and depression.At present,there are few studies on the effect of exercise on depression.Therefore,the study selected exercise intervention therapy and other intervention methods to evaluate the intervention effect of depression,and explored the effect of exercise intervention by evaluating depression scale and effective indicators.Hope this can provide a new idea for exercise intervention as an adjunctive therapy for depression on drug treatment.
基金supported by the National Natural Science Foundation of China(82173808,U21A20419,82270500)Natural Science Foundation of Guangdong Province(2021B1515020100,China)+3 种基金Guangzhou Basic and Applied Basic Research Project(202206080007,China)Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program(2017BT01Y093,China)Guangdong Provincial Key Laboratory of Construction Foundation(2017B030314030,China)Academic promotion program of Shandong First Medical University(2019LJ003,China).
文摘The clinical utilization of doxorubicin(Dox)in various malignancies is restrained by its major adverse effect:irreversible cardiomyopathy.Extensive studies have been done to explore the prevention of Dox cardiomyopathy.Currently,ferroptosis has been shown to participate in the incidence and development of Dox cardiomyopathy.Sorting Nexin 3(SNX3),the retromer-associated cargo binding protein with important physiological functions,was identified as a potent therapeutic target for cardiac hypertrophy in our previous study.However,few study has shown whether SNX3 plays a critical role in Dox-induced cardiomyopathy.In this study,a decreased level of SNX3 in Dox-induced cardiomyopathy was observed.Cardiac-specific Snx3 knockout(Snx3-cKO)significantly alleviated cardiomyopathy by downregulating Dox-induced ferroptosis significantly.SNX3 was further demonstrated to exacerbate Dox-induced cardiomyopathy via induction of ferroptosis in vivo and in vitro,and cardiac-specific Snx3 transgenic(Snx3-cTg)mice were more susceptible to Dox-induced feroptosis and cardiomyopathy.Mechanistically,SNX3 facilitated the recycling of transferrin 1 receptor(TFRC)via direct interaction,disrupting iron homeostasis,increasing the accumulation of iron,triggering ferroptosis,and eventually exacerbating Dox-induced cardiomyopathy.Overall,these findings established a direct SNX3-TFRC-ferroptosis positive regulatory axis in Dox-induced cardiomyopathy and suggested that targeting SNX3 provided a new effective therapeutic strategy for Dox-induced cardiomyopathy through TFRCdependentferroptosis.
文摘In the process of collating the raw data,the authors noticed an inadvertent mistake occurred in Fig.3b that needs to be corrected after online publication of the article.In Fig.3b,as a result of an error in the graphics panel arrangement process,the band of NEMO was repeatedly inserted asβ-actin by mistake.The correct band is shown as below and in the updated Fig.3b.The correction did not affect any of our results or discussion as present in the original publication.We regret any inconvenience this has caused.
基金funded by the China National Key Research and Development Program(No.2019YFA0904300).
文摘Many efforts have been exerted toward screening potential drugs for targets,and conducting wet experiments remains a laborious and time-consuming approach.Artificial intelligence methods,such as Convolutional Neural Network(CNN),are widely used to facilitate new drug discovery.Owing to the structural limitations of CNN,features extracted from this method are local patterns that lack global information.However,global information extracted from the whole sequence and local patterns extracted from the special domain can influence the drugtarget affinity.A fusion of global information and local patterns can construct neural network calculations closer to actual biological processes.This paper proposes a Fingerprint-embedding framework for Drug-Target binding Affinity prediction(FingerDTA),which uses CNN to extract local patterns and utilize fingerprints to characterize global information.These fingerprints are generated on the basis of the whole sequence of drugs or targets.Furthermore,FingerDTA achieves comparable performance on Davis and KIBA data sets.In the case study of screening potential drugs for the spike protein of the coronavirus disease 2019(COVID-19),7 of the top 10 drugs have been confirmed potential by literature.Ultimately,the docking experiment demonstrates that FingerDTA can find novel drug candidates for targets.All codes are available at http://lanproxy.biodwhu.cn:9099/mszjaas/FingerDTA.git.
