This paper introduces a small perturbation frequency domain thermal analysis model based on the nonlinear dynamics model.The model can be applied to study the high-precision temperature control of thermal systems unde...This paper introduces a small perturbation frequency domain thermal analysis model based on the nonlinear dynamics model.The model can be applied to study the high-precision temperature control of thermal systems under low-frequency complex perturbations.The frequency domain characteristics of the space gravitational wave detection satellite are analyzed,and a multi-channel perturbation structure is established.The effects of three kinds of heat flow perturbations,including external heat flow,power generation power,and waste heat of electronic equipment,on the temperature through five transfer paths are investigated.It has been discovered that the waste heat from electronic equipment inside the satellite has the most noticeable effect on the temperature power spectral density of temperature-sensitive optical loads,serving as the primary factor influencing thermal stability.For complex noise signals,the small perturbation analysis method can decompose the different frequency components or ranges,reducing the problem to linearized analysis and simplifying complex calculations.The results indicate that the temperature power spectral density decreases as signal frequency increases,with low-frequency signals exerting a greater influence on temperature stability.The small perturbation analysis method is a novel and effective method for temperature control of space thermal systems,with high accuracy and stability.展开更多
Various high entropy alloys(HEAs)with improved mechanical properties were developed by reducing the phase stability and then promote the phase transformation.The promotion of deformation-induced ma rtensitic transform...Various high entropy alloys(HEAs)with improved mechanical properties were developed by reducing the phase stability and then promote the phase transformation.The promotion of deformation-induced ma rtensitic transformation from face-centered cubic(fcc)to hexagonal close-packed(hcp)mostly focuses on overcoming the trade-off of strength-ductility of HEAs at room temperature.However,the hcp phase is brittle at cryogenic-temperature,and thus the enhancement of cryogenic ductility of these HEAs still remains a challenge.Here,we present a concept to toughening Fe50Mn30Co10Cr10 HEAs at cryogenictemperature via retarding phase transformation.The retarded but more persistent phase transformation at high strain level was realized via tailoring the grain size.To further verify the effect of phase transformation rate on ductility of HEAs,the mechanical properties of Fe40Mn40Co10Cr10 HEAs with higher stacking fault energy were tested at room and cryogenic temperature,respectively.The present study sheds light on developing high perfo rmance HEAs,especially for alloys with brittle phase transformation products.展开更多
High entropy alloys(HEAs)with superb mechanical properties have been traditionally produced by solid-ification and subsequent heat treatment,In this paper,we demonstrate a new route via one-step process using sub-rapi...High entropy alloys(HEAs)with superb mechanical properties have been traditionally produced by solid-ification and subsequent heat treatment,In this paper,we demonstrate a new route via one-step process using sub-rapid cooling.Under proper cooling rates,the CrFeCoNiAl0.6 HEA could form ultrafineFCC+BCC dual-phase structure.By varying cooling rate,we can control the fraction of the BCC phaseand refinement of FCC microstructures that have tunable mechanical properties in yield strength and hardness ranging from~580 to~1460 MPa and~260 to~550 Hv.We show that the structure-property-processing relation originates from the sideplate microstructures formed during fast cooling that havespecific crystallographic orientation relationship between the FCC and BCC phases and chemical segrega tion.This work provides a new setting for better understanding of the solid-state phase transformation in HEAs under sub-rapid solidification conditions as well as a novel method for development of high-performance HEAs.展开更多
Transformer-based models have significantly advanced binary code similarity detection(BCSD)by leveraging their semantic encoding capabilities for efficient function matching across diverse compilation settings.Althoug...Transformer-based models have significantly advanced binary code similarity detection(BCSD)by leveraging their semantic encoding capabilities for efficient function matching across diverse compilation settings.Although adversarial examples can strategically undermine the accuracy of BCSD models and protect critical code,existing techniques predominantly depend on inserting artificial instructions,which incur high computational costs and offer limited diversity of perturbations.To address these limitations,we propose AIMA,a novel gradient-guided assembly instruction relocation method.Our method decouples the detection model into tokenization,embedding,and encoding layers to enable efficient gradient computation.Since token IDs of instructions are discrete and nondifferentiable,we compute gradients in the continuous embedding space to evaluate the influence of each token.The most critical tokens are identified by calculating the L2 norm of their embedding gradients.We then establish a mapping between instructions and their corresponding tokens to aggregate token-level importance into instructionlevel significance.To maximize adversarial impact,a sliding window algorithm selects the most influential contiguous segments for relocation,ensuring optimal perturbation with minimal length.This approach efficiently locates critical code regions without expensive search operations.The selected segments are relocated outside their original function boundaries via a jump mechanism,which preserves runtime control flow and functionality while introducing“deletion”effects in the static instruction sequence.Extensive experiments show that AIMA reduces similarity scores by up to 35.8%in state-of-the-art BCSD models.When incorporated into training data,it also enhances model robustness,achieving a 5.9%improvement in AUROC.展开更多
The use of RNA interference(RNAi)technology to control pests is explored by researchers globally.Even though RNA is a new class of pest control compound unlike conventional chemical pesticides,the evolution of pest re...The use of RNA interference(RNAi)technology to control pests is explored by researchers globally.Even though RNA is a new class of pest control compound unlike conventional chemical pesticides,the evolution of pest resistance needs to be considered.Here,we first investigate RNAi-based biopesticide resistance of Fusarium asiaticum,which is responsible for devastating diseases of plants,for example,Fusarium head blight.Five resistant strains were isolated from 500 strains that treated with UV-mutagenesis.The mutation common to all of the five resistant mutants occurred in the gene encoding Dicer2(point mutations at codon 1005 and 1007),which were under strong purifying selection pressure.To confirm whether the mutations in Dicer2 confer resistance to RNAi,we exchanged the Dicer2 locus between the sensitive strain and the resistant strain by homologous double exchange.The transformed mutants,Dicer2R1005Dand Dicer2E1007H,exhibited resistance to dsRNA in vitro.Further study showed that mutations of R1005D and E1007H affected the intramolecular interactions of Dicer2,resulting in the dysfunction of RNase III domain of Dicer2.The amount of sRNAs produced by Dicer2R1005Dand Dicer2E1007Hwas extremely reduced along with variation of sRNA length.Together,these findings revealed a new potential mechanism of RNAi resistance and provided insight into RNAi-related biopesticide deployment for fungal control.展开更多
The reverse design of solid rocket motor(SRM)propellant grain involves determining the grain geometry to closely match a predefined internal ballistic curve.While existing reverse design methods are feasible,they ofte...The reverse design of solid rocket motor(SRM)propellant grain involves determining the grain geometry to closely match a predefined internal ballistic curve.While existing reverse design methods are feasible,they often face challenges such as lengthy computation times and limited accuracy.To achieve rapid and accurate matching between the targeted ballistic curve and complex grain shape,this paper proposes a novel reverse design method for SRM propellant grain based on time-series data imaging and convolutional neural network(CNN).First,a finocyl grain shape-internal ballistic curve dataset is created using parametric modeling techniques to comprehensively cover the design space.Next,the internal ballistic time-series data is encoded into three-channel images,establishing a potential relationship between the ballistic curves and their image representations.A CNN is then constructed and trained using these encoded images.Once trained,the model enables efficient inference of propellant grain dimensions from a target internal ballistic curve.This paper conducts comparative experiments across various neural network models,validating the effectiveness of the feature extraction method that transforms internal ballistic time-series data into images,as well as its generalization capability across different CNN architectures.Ignition tests were performed based on the predicted propellant grain.The results demonstrate that the relative error between the experimental internal ballistic curves and the target curves is less than 5%,confirming the validity and feasibility of the proposed reverse design methodology.展开更多
In the case of major public emergencies, the ability of cities to resist shocks becomes very important and reflects urban resilience. This paper selected the supply guarantee facilities during the city-wide lockdown o...In the case of major public emergencies, the ability of cities to resist shocks becomes very important and reflects urban resilience. This paper selected the supply guarantee facilities during the city-wide lockdown of Shanghai during March-May 2022 due to COVID-19 pandemic as the research object. In this research, the per capita supply guarantee capacity and supply guarantee overlay intensity were analyzed based on the official list of facilities, and the actual role of the supply guarantee facilities was investigated through a public research questionnaire. The thermodynamic diagram map that was generated based on phone visits reflected the actual distribution of the population. Then the level of “supply guarantee resilience” was evaluated and graded for each district of Shanghai. It was concluded that the overall level of supply guarantee resilience was high in the central city, divergence in the near suburban districts, and generally low in the remote suburban districts. Based on this, the paper summarized the problems of supply guarantee revealed in Shanghai during the epidemic lockdown as well as proposed strategies to improve the resilience of similar scenarios in the future. With the help of big data and public research tools, this paper aimed to provide ways and methods to evaluate the resilience of cities under major public emergencies.展开更多
In this study,the volatile and non-volatile profiles of tender(EST)and old(ESO)leaves of E'se tea were compared.The results indicated that both EST and ESO were enriched with similar components but in differing pr...In this study,the volatile and non-volatile profiles of tender(EST)and old(ESO)leaves of E'se tea were compared.The results indicated that both EST and ESO were enriched with similar components but in differing proportions.Notably,EST exhibited a significantly higher polyphenol concentration compared to ESO,with phloridzin as the primary phenolic compound in both,albeit at a higher level in EST(151.95 mg/g vs 132.33 mg/g,p1,p<0.05)were identified in both EST and ESO,including 2-hexenal,(E)-,benzaldehyde,and acetophenone.Sensory evaluation further revealed that the EST infusion possessed a more pronounced astringency,thickness,bitterness,and a lingering sweetness,which could be attributed to its higher concentrations of phenolic compounds,free amino acids,and soluble proteins.Overall,EST demonstrated a notable enrichment in both volatile and non-volatile compounds,coupled with a highly favourablE'sensory acceptance,underscoring its promising potential for application in the food industry.展开更多
This article focuses on the factors influencing fracture nonunion, classification and treatment. The article emphasizes the importance of understanding the influencing factors and mechanisms of fracture healing for de...This article focuses on the factors influencing fracture nonunion, classification and treatment. The article emphasizes the importance of understanding the influencing factors and mechanisms of fracture healing for developing effective treatment strategies and improving patients’ quality of life. It also points out the challenges of current treatment, such as patient compliance and limitations of treatment methods, and looks at future treatment directions.展开更多
The new generation of gravity measurement satellites will use high-precision inter-satellite laser interferometry technology to measure the gravity field.The heat flow outside the satellite's orbit will act on the...The new generation of gravity measurement satellites will use high-precision inter-satellite laser interferometry technology to measure the gravity field.The heat flow outside the satellite's orbit will act on the optical bench(OB)through laser emission and reception apertures and introduce the temperature noise of the measurement signal.Based on modeling the orbital thermal environment at the incoming aperture and outgoing aperture of the laser designed on the spacecraft front panel,baffles are designed to reduce the heat flow from the apertures into the optical measurement system.The temperature noise of the optical bench caused by space radiation during on-orbit operation was analyzed using finite element simulation software.For the current design of the baffles,the temperature noise of the optical bench is lower than 0.1 K/Hz1/2@1 mHz when the direct solar radiation enters the apertures;when the apertures are in the light-blocking environment,the temperature noise of the optical bench is lower than 0.1 mK/Hz1/2@1 mHz,which meets the temperature noise requirement of a laser interferometer.The baffles are designed to achieve a stable shading period of up to 4 months in a year to facilitate the satellite to carry out ranging work.展开更多
The endocrine system is crucial for maintaining overall homeostasis.However,its cellular signatures have not been elucidated during aging.Here,we conducted the first-ever single-cell transcriptomic profiles from eight...The endocrine system is crucial for maintaining overall homeostasis.However,its cellular signatures have not been elucidated during aging.Here,we conducted the first-ever single-cell transcriptomic profiles from eight endocrine organs in young and aged mice,revealing the activation of cell-type-specific aging pathways,such as loss of proteostasis,genomic instability and reactive oxygen species(ROS).Among six sex-shared endocrine organs,aging severely impaired gene expression networks in functional endocrine cells,accompanied by enhanced immune infiltration and unfolded protein response(UPR).Mechanism investigations showed that expanded aging-associated exhausted T cells activated MHC-I-UPR axis across functional endocrine cells by releasing GZMK.The inhibition of GZMK receptors by small chemical molecules counteracted the UPR and senescence,suggesting the immune infiltration is a possible driver of endocrine aging.Machine learning identified CD59 as a novel aging feature in sex-shared functional endocrine cells.For two sex-specific endocrine organs,both aged ovaries and testes showed enhanced immune responses.Meanwhile,cell-type-specific aging-associated transcriptional changes revealed an enhanced ROS mainly in aged theca cells of ovaries,while aged spermatogonia in testes showed impaired DNA repair.This study provides a comprehensive analysis of endocrine system aging at single-cell resolution,offering profound insights into mechanisms of endocrine aging.展开更多
The aim of radiotherapy(RT)is to deliver prescribed doses to tumors while sparing neighboring organs at risk.As the demand for treatment precision increases in modern RT,intrafractional motion management becomes criti...The aim of radiotherapy(RT)is to deliver prescribed doses to tumors while sparing neighboring organs at risk.As the demand for treatment precision increases in modern RT,intrafractional motion management becomes critical for achieving high precision,particularly for tumors in the thorax and abdomen that are affected by respiration and other physiological motions.Deep learning(DL)has demonstrated strong po-tential in addressing the limitations of conventional methods by enabling rapid and accurate tumor motion detection,tumor location prediction,and management measures.This review provides a comprehensive overview of recent DL-based applications in intrafractional motion management,which are categorized into three areas:(1)tumor motion detection for real-time tumor localization,(2)tumor location prediction to compensate for the latency of the motion management system,and(3)management measures,including gating and real-time adaptive RT.In addition,this review discusses key challenges and their potential so-lutions for DL-based motion management.展开更多
Objectives:The objective of this study was to examine communication effectiveness(CE)in conjunction with participant satisfaction in a multicultural fitness program.Methods:Adults from a fitness program site with part...Objectives:The objective of this study was to examine communication effectiveness(CE)in conjunction with participant satisfaction in a multicultural fitness program.Methods:Adults from a fitness program site with participant diversity and multicultural backgrounds were selected and asked to complete a three-part Fitness CE Evaluation Scale questionnaire:CE Questionnaire and Customer Satisfaction(CS)Scale plus a short demographic survey.A sample of 95 participants was recruited from a Midwest Functional 45 Fitness Training Program site in the U.S.A.Multivariate Analysis of Variance(MANOVA)tests were conducted for CE and CS variable vectors.Results:The results showed that there were significant main effects on CE and CS for nationality(p=0.001;p<0.001)and language(p=0.006;p<0.001),but no effect for participation frequency,respectively;there were also significant main effects on CS for gender(p=0.006)and membership type(p=0.019).Univariate tests revealed that domestics and/or first language participants scored significantly higher on reactionto strangers(p=0.001;p=0.001),uncertainty(p<0.001;p<0.001),facilities/services(p<0.001;p<0.001),individual/psychological factor(p=0.009;p=0.034),relaxation(p=0.018;p=0.021),social factor(p<0.001;p=0.002),and health/fitness(p<0.001;p=0.001),respectively.Conclusions:Being highly aware of fitness participants’uncertainty and reaction to strangers can help multicultural fitness program managers or trainers improve their communication effectiveness,which will continue improving their customers’satisfaction.展开更多
Phylogeny has long informed pteridophyte classification. As our ability to infer evolutionary trees has improved, classifications aimed at recognizing natural groups have become increasingly predictive and stable. Her...Phylogeny has long informed pteridophyte classification. As our ability to infer evolutionary trees has improved, classifications aimed at recognizing natural groups have become increasingly predictive and stable. Here, we provide a modern, comprehensive classification for lycophytes and ferns, down to the genus level, utilizing a community-based approach. We use monophyly as the primary criterion for the recognition of taxa, but also aim to preserve existing taxa and circumscriptions that are both widely accepted and consistent with our understanding of pteridophyte phylogeny. In total, this classification treats an estimated 11 916 species in 337 genera, 51 families, 14 orders, and two classes. This classification is not intended as the final word on lycophyte and fern taxonomy, but rather a summary statement of current hypotheses, derived from the best available data and shaped by those most familiar with the plants in question. We hope that it will serve as a resource for those wanting references to the recent literature on pteridophyte phylogeny and classification, a framework for guiding future investigations, and a stimulus to further discourse.展开更多
基金supported by the National Key Research and Development Program of China(No.2022YFC2204400)。
摘要This paper introduces a small perturbation frequency domain thermal analysis model based on the nonlinear dynamics model.The model can be applied to study the high-precision temperature control of thermal systems under low-frequency complex perturbations.The frequency domain characteristics of the space gravitational wave detection satellite are analyzed,and a multi-channel perturbation structure is established.The effects of three kinds of heat flow perturbations,including external heat flow,power generation power,and waste heat of electronic equipment,on the temperature through five transfer paths are investigated.It has been discovered that the waste heat from electronic equipment inside the satellite has the most noticeable effect on the temperature power spectral density of temperature-sensitive optical loads,serving as the primary factor influencing thermal stability.For complex noise signals,the small perturbation analysis method can decompose the different frequency components or ranges,reducing the problem to linearized analysis and simplifying complex calculations.The results indicate that the temperature power spectral density decreases as signal frequency increases,with low-frequency signals exerting a greater influence on temperature stability.The small perturbation analysis method is a novel and effective method for temperature control of space thermal systems,with high accuracy and stability.
基金financially supported by the National Natural Science Foundation of China(Nos.U1832203,11975202,U1704159 and 51701183)the China Postdoctoral Science Foundation(No.2018M630834)。
摘要Various high entropy alloys(HEAs)with improved mechanical properties were developed by reducing the phase stability and then promote the phase transformation.The promotion of deformation-induced ma rtensitic transformation from face-centered cubic(fcc)to hexagonal close-packed(hcp)mostly focuses on overcoming the trade-off of strength-ductility of HEAs at room temperature.However,the hcp phase is brittle at cryogenic-temperature,and thus the enhancement of cryogenic ductility of these HEAs still remains a challenge.Here,we present a concept to toughening Fe50Mn30Co10Cr10 HEAs at cryogenictemperature via retarding phase transformation.The retarded but more persistent phase transformation at high strain level was realized via tailoring the grain size.To further verify the effect of phase transformation rate on ductility of HEAs,the mechanical properties of Fe40Mn40Co10Cr10 HEAs with higher stacking fault energy were tested at room and cryogenic temperature,respectively.The present study sheds light on developing high perfo rmance HEAs,especially for alloys with brittle phase transformation products.
基金supported by National Natural Science Foundation of China [grant nos. 51701183, U1704159]China Postdoctoral Science Foundation funded project [grant no. 2017M622368,2018M630834]
摘要High entropy alloys(HEAs)with superb mechanical properties have been traditionally produced by solid-ification and subsequent heat treatment,In this paper,we demonstrate a new route via one-step process using sub-rapid cooling.Under proper cooling rates,the CrFeCoNiAl0.6 HEA could form ultrafineFCC+BCC dual-phase structure.By varying cooling rate,we can control the fraction of the BCC phaseand refinement of FCC microstructures that have tunable mechanical properties in yield strength and hardness ranging from~580 to~1460 MPa and~260 to~550 Hv.We show that the structure-property-processing relation originates from the sideplate microstructures formed during fast cooling that havespecific crystallographic orientation relationship between the FCC and BCC phases and chemical segrega tion.This work provides a new setting for better understanding of the solid-state phase transformation in HEAs under sub-rapid solidification conditions as well as a novel method for development of high-performance HEAs.
基金supported by Key Laboratory of Cyberspace Security,Ministry of Education,China。
摘要Transformer-based models have significantly advanced binary code similarity detection(BCSD)by leveraging their semantic encoding capabilities for efficient function matching across diverse compilation settings.Although adversarial examples can strategically undermine the accuracy of BCSD models and protect critical code,existing techniques predominantly depend on inserting artificial instructions,which incur high computational costs and offer limited diversity of perturbations.To address these limitations,we propose AIMA,a novel gradient-guided assembly instruction relocation method.Our method decouples the detection model into tokenization,embedding,and encoding layers to enable efficient gradient computation.Since token IDs of instructions are discrete and nondifferentiable,we compute gradients in the continuous embedding space to evaluate the influence of each token.The most critical tokens are identified by calculating the L2 norm of their embedding gradients.We then establish a mapping between instructions and their corresponding tokens to aggregate token-level importance into instructionlevel significance.To maximize adversarial impact,a sliding window algorithm selects the most influential contiguous segments for relocation,ensuring optimal perturbation with minimal length.This approach efficiently locates critical code regions without expensive search operations.The selected segments are relocated outside their original function boundaries via a jump mechanism,which preserves runtime control flow and functionality while introducing“deletion”effects in the static instruction sequence.Extensive experiments show that AIMA reduces similarity scores by up to 35.8%in state-of-the-art BCSD models.When incorporated into training data,it also enhances model robustness,achieving a 5.9%improvement in AUROC.
基金funded by the National Natural Science Foundation of China(32372585)the Natural Science Foundation of Jiangsu Province,China(BK20231471)the National Training Program of Innovation and Entrepreneurship for Undergraduates,China(202210307013Z)。
摘要The use of RNA interference(RNAi)technology to control pests is explored by researchers globally.Even though RNA is a new class of pest control compound unlike conventional chemical pesticides,the evolution of pest resistance needs to be considered.Here,we first investigate RNAi-based biopesticide resistance of Fusarium asiaticum,which is responsible for devastating diseases of plants,for example,Fusarium head blight.Five resistant strains were isolated from 500 strains that treated with UV-mutagenesis.The mutation common to all of the five resistant mutants occurred in the gene encoding Dicer2(point mutations at codon 1005 and 1007),which were under strong purifying selection pressure.To confirm whether the mutations in Dicer2 confer resistance to RNAi,we exchanged the Dicer2 locus between the sensitive strain and the resistant strain by homologous double exchange.The transformed mutants,Dicer2R1005Dand Dicer2E1007H,exhibited resistance to dsRNA in vitro.Further study showed that mutations of R1005D and E1007H affected the intramolecular interactions of Dicer2,resulting in the dysfunction of RNase III domain of Dicer2.The amount of sRNAs produced by Dicer2R1005Dand Dicer2E1007Hwas extremely reduced along with variation of sRNA length.Together,these findings revealed a new potential mechanism of RNAi resistance and provided insight into RNAi-related biopesticide deployment for fungal control.
摘要The reverse design of solid rocket motor(SRM)propellant grain involves determining the grain geometry to closely match a predefined internal ballistic curve.While existing reverse design methods are feasible,they often face challenges such as lengthy computation times and limited accuracy.To achieve rapid and accurate matching between the targeted ballistic curve and complex grain shape,this paper proposes a novel reverse design method for SRM propellant grain based on time-series data imaging and convolutional neural network(CNN).First,a finocyl grain shape-internal ballistic curve dataset is created using parametric modeling techniques to comprehensively cover the design space.Next,the internal ballistic time-series data is encoded into three-channel images,establishing a potential relationship between the ballistic curves and their image representations.A CNN is then constructed and trained using these encoded images.Once trained,the model enables efficient inference of propellant grain dimensions from a target internal ballistic curve.This paper conducts comparative experiments across various neural network models,validating the effectiveness of the feature extraction method that transforms internal ballistic time-series data into images,as well as its generalization capability across different CNN architectures.Ignition tests were performed based on the predicted propellant grain.The results demonstrate that the relative error between the experimental internal ballistic curves and the target curves is less than 5%,confirming the validity and feasibility of the proposed reverse design methodology.
摘要In the case of major public emergencies, the ability of cities to resist shocks becomes very important and reflects urban resilience. This paper selected the supply guarantee facilities during the city-wide lockdown of Shanghai during March-May 2022 due to COVID-19 pandemic as the research object. In this research, the per capita supply guarantee capacity and supply guarantee overlay intensity were analyzed based on the official list of facilities, and the actual role of the supply guarantee facilities was investigated through a public research questionnaire. The thermodynamic diagram map that was generated based on phone visits reflected the actual distribution of the population. Then the level of “supply guarantee resilience” was evaluated and graded for each district of Shanghai. It was concluded that the overall level of supply guarantee resilience was high in the central city, divergence in the near suburban districts, and generally low in the remote suburban districts. Based on this, the paper summarized the problems of supply guarantee revealed in Shanghai during the epidemic lockdown as well as proposed strategies to improve the resilience of similar scenarios in the future. With the help of big data and public research tools, this paper aimed to provide ways and methods to evaluate the resilience of cities under major public emergencies.
基金supported by funds from the Key Research and Development Program of Zhejiang Province(Grant No.2023C04028)to Ran Wei.
摘要In this study,the volatile and non-volatile profiles of tender(EST)and old(ESO)leaves of E'se tea were compared.The results indicated that both EST and ESO were enriched with similar components but in differing proportions.Notably,EST exhibited a significantly higher polyphenol concentration compared to ESO,with phloridzin as the primary phenolic compound in both,albeit at a higher level in EST(151.95 mg/g vs 132.33 mg/g,p1,p<0.05)were identified in both EST and ESO,including 2-hexenal,(E)-,benzaldehyde,and acetophenone.Sensory evaluation further revealed that the EST infusion possessed a more pronounced astringency,thickness,bitterness,and a lingering sweetness,which could be attributed to its higher concentrations of phenolic compounds,free amino acids,and soluble proteins.Overall,EST demonstrated a notable enrichment in both volatile and non-volatile compounds,coupled with a highly favourablE'sensory acceptance,underscoring its promising potential for application in the food industry.
摘要This article focuses on the factors influencing fracture nonunion, classification and treatment. The article emphasizes the importance of understanding the influencing factors and mechanisms of fracture healing for developing effective treatment strategies and improving patients’ quality of life. It also points out the challenges of current treatment, such as patient compliance and limitations of treatment methods, and looks at future treatment directions.
基金supported by the National Key R&D Program (2022YFC2204001)the National Natural Science Foundation of China (12005310)
摘要The new generation of gravity measurement satellites will use high-precision inter-satellite laser interferometry technology to measure the gravity field.The heat flow outside the satellite's orbit will act on the optical bench(OB)through laser emission and reception apertures and introduce the temperature noise of the measurement signal.Based on modeling the orbital thermal environment at the incoming aperture and outgoing aperture of the laser designed on the spacecraft front panel,baffles are designed to reduce the heat flow from the apertures into the optical measurement system.The temperature noise of the optical bench caused by space radiation during on-orbit operation was analyzed using finite element simulation software.For the current design of the baffles,the temperature noise of the optical bench is lower than 0.1 K/Hz1/2@1 mHz when the direct solar radiation enters the apertures;when the apertures are in the light-blocking environment,the temperature noise of the optical bench is lower than 0.1 mK/Hz1/2@1 mHz,which meets the temperature noise requirement of a laser interferometer.The baffles are designed to achieve a stable shading period of up to 4 months in a year to facilitate the satellite to carry out ranging work.
基金the National Center for Protein Sciences and the Laboratory Animal Center at Peking University for the supportsupported by the National Key Research and Development Program of China(2021YFA0909300)+2 种基金the National Natural Science Foundation of China(32241006)the Yunnan Basic Research Special Project-Key Project(202401AS070474)the Yunnan Revitalization Talent Support Program Top Team(202405AS350022)。
摘要The endocrine system is crucial for maintaining overall homeostasis.However,its cellular signatures have not been elucidated during aging.Here,we conducted the first-ever single-cell transcriptomic profiles from eight endocrine organs in young and aged mice,revealing the activation of cell-type-specific aging pathways,such as loss of proteostasis,genomic instability and reactive oxygen species(ROS).Among six sex-shared endocrine organs,aging severely impaired gene expression networks in functional endocrine cells,accompanied by enhanced immune infiltration and unfolded protein response(UPR).Mechanism investigations showed that expanded aging-associated exhausted T cells activated MHC-I-UPR axis across functional endocrine cells by releasing GZMK.The inhibition of GZMK receptors by small chemical molecules counteracted the UPR and senescence,suggesting the immune infiltration is a possible driver of endocrine aging.Machine learning identified CD59 as a novel aging feature in sex-shared functional endocrine cells.For two sex-specific endocrine organs,both aged ovaries and testes showed enhanced immune responses.Meanwhile,cell-type-specific aging-associated transcriptional changes revealed an enhanced ROS mainly in aged theca cells of ovaries,while aged spermatogonia in testes showed impaired DNA repair.This study provides a comprehensive analysis of endocrine system aging at single-cell resolution,offering profound insights into mechanisms of endocrine aging.
基金funded by Beijing Natural Science Foundation(Grant No.:7242112,1242036)the National Natural Science Foundation of China(Grant No.:12205375,12205376)Beijing Hope Run Special Fund of Cancer Foundation of China(Grant No.:LC2022B28).
摘要The aim of radiotherapy(RT)is to deliver prescribed doses to tumors while sparing neighboring organs at risk.As the demand for treatment precision increases in modern RT,intrafractional motion management becomes critical for achieving high precision,particularly for tumors in the thorax and abdomen that are affected by respiration and other physiological motions.Deep learning(DL)has demonstrated strong po-tential in addressing the limitations of conventional methods by enabling rapid and accurate tumor motion detection,tumor location prediction,and management measures.This review provides a comprehensive overview of recent DL-based applications in intrafractional motion management,which are categorized into three areas:(1)tumor motion detection for real-time tumor localization,(2)tumor location prediction to compensate for the latency of the motion management system,and(3)management measures,including gating and real-time adaptive RT.In addition,this review discusses key challenges and their potential so-lutions for DL-based motion management.
基金funded by Department of Education of Guangdong Province(NO.2022GXJK239,2024SQXX_025)Guangzhou Sport University(NO.XGQN202410).
摘要Objectives:The objective of this study was to examine communication effectiveness(CE)in conjunction with participant satisfaction in a multicultural fitness program.Methods:Adults from a fitness program site with participant diversity and multicultural backgrounds were selected and asked to complete a three-part Fitness CE Evaluation Scale questionnaire:CE Questionnaire and Customer Satisfaction(CS)Scale plus a short demographic survey.A sample of 95 participants was recruited from a Midwest Functional 45 Fitness Training Program site in the U.S.A.Multivariate Analysis of Variance(MANOVA)tests were conducted for CE and CS variable vectors.Results:The results showed that there were significant main effects on CE and CS for nationality(p=0.001;p<0.001)and language(p=0.006;p<0.001),but no effect for participation frequency,respectively;there were also significant main effects on CS for gender(p=0.006)and membership type(p=0.019).Univariate tests revealed that domestics and/or first language participants scored significantly higher on reactionto strangers(p=0.001;p=0.001),uncertainty(p<0.001;p<0.001),facilities/services(p<0.001;p<0.001),individual/psychological factor(p=0.009;p=0.034),relaxation(p=0.018;p=0.021),social factor(p<0.001;p=0.002),and health/fitness(p<0.001;p=0.001),respectively.Conclusions:Being highly aware of fitness participants’uncertainty and reaction to strangers can help multicultural fitness program managers or trainers improve their communication effectiveness,which will continue improving their customers’satisfaction.
摘要Phylogeny has long informed pteridophyte classification. As our ability to infer evolutionary trees has improved, classifications aimed at recognizing natural groups have become increasingly predictive and stable. Here, we provide a modern, comprehensive classification for lycophytes and ferns, down to the genus level, utilizing a community-based approach. We use monophyly as the primary criterion for the recognition of taxa, but also aim to preserve existing taxa and circumscriptions that are both widely accepted and consistent with our understanding of pteridophyte phylogeny. In total, this classification treats an estimated 11 916 species in 337 genera, 51 families, 14 orders, and two classes. This classification is not intended as the final word on lycophyte and fern taxonomy, but rather a summary statement of current hypotheses, derived from the best available data and shaped by those most familiar with the plants in question. We hope that it will serve as a resource for those wanting references to the recent literature on pteridophyte phylogeny and classification, a framework for guiding future investigations, and a stimulus to further discourse.