聚焦小学英语“教学评一体化”的教学理念,针对当前课堂评价存在的“独揽式”评价、“延迟式”反馈、“单维式”聚焦、“虚化式”情境等问题,以外研社《英语》四年级下册Unit 5 School Events中第三课时“Field trip”为例,创新性地提...聚焦小学英语“教学评一体化”的教学理念,针对当前课堂评价存在的“独揽式”评价、“延迟式”反馈、“单维式”聚焦、“虚化式”情境等问题,以外研社《英语》四年级下册Unit 5 School Events中第三课时“Field trip”为例,创新性地提出并构建基于REAL模式的“问题链驱动型”表现性评价体系。展开更多
In this paper,we introduce the real pairwise completely positive(RPCP)matrices with one of them is necessarily positive semidefinite while the other one is necessarily entrywise nonnegative,which has a real pairwise c...In this paper,we introduce the real pairwise completely positive(RPCP)matrices with one of them is necessarily positive semidefinite while the other one is necessarily entrywise nonnegative,which has a real pairwise completely positive(RPCP)decomposition.We study the properties of RPCP matrices and give some necessary and sufficient conditions for a matrix pair to be RPCP.First,we give an equivalent decomposition for the RPCP matrices,which is different from the RPCP-decomposition and show that the matrix pair(X,X)is RPCP if and only if X is completely positive.Besides,we also prove that the RPCP matrices checking problem is equivalent to the separable completion problem.A semidefinite algorithm is also proposed for detecting whether or not a matrix pair is RPCP.The asymptotic and finite convergence of the algorithm are also discussed.If it is RPCP,we can further give a RPCP-decomposition for it;if it is not,we can obtain a certificate for this.展开更多
The information exchange among satellites is crucial for the implementation of cluster satellite cooperative missions.However,achieving fast perception,rapid networking,and highprecision time synchronization among nod...The information exchange among satellites is crucial for the implementation of cluster satellite cooperative missions.However,achieving fast perception,rapid networking,and highprecision time synchronization among nodes without the support of the Global Navigation Satellite System(GNSS)and other prior information remains a formidable challenge to real-time wireless networks design.Therefore,a self-organizing network methodology based on multi-agent negotiation is proposed,which autonomously determines the master node through collaborative negotiation and competitive elections.On this basis,a real-time network protocol design is carried out and a high-precision time synchronization method with motion compensation is proposed.Simulation results demonstrate that the proposed method enables rapid networking with the capability of selfdiscovery,self-organization,and self-healing.For a cluster of 8 satellites,the networking time and the reorganization time are less than 4 s.The time synchronization accuracy exceeds 10-10s with motion compensation,demonstrating excellent real-time performance and stability.The research presented in this paper provides a valuable reference for the design and application of spacebased self-organizing networks for satellite cluster.展开更多
Many experiments have supported the contact models,such as the GW and MB models,but the majority of previous validations have been performed under light loads,resulting in a linear relationship between normal force an...Many experiments have supported the contact models,such as the GW and MB models,but the majority of previous validations have been performed under light loads,resulting in a linear relationship between normal force and contact area.However,the real contact area fraction should never equal one;there must be a limit smaller than the apparent area,implying that the real contact area cannot increase linearly indefinitely.In this paper,the real contact area between two polymethylmethacrylate(PMMA)blocks under heavy load is measured using the total reflection method,and the contact area is analyzed using the image processing method.The results show that the real contact area increases with normal load linearly in light loads but non-linearly in heavy loads;the number of contact spots increases with load linearly in light loads but also non-linearly in heavy loads,synchronous with the change in the real contact area.The GW,MB,and Zhao,Maietta,and Chang(ZMC)models were used to predict the experiment results,but none of them predicted the non-linear stage.A revised GW model based on the bulk deformation hypothesis performs better in predicting the non-linear stage.The study’s findings can be applied to PMMA or other similar materials,and they can serve as a useful reference for future research on the contact mechanisms of other materials.展开更多
The regulation of catalytic pyrolysis products of coal tar(CT)is a great challenge due to its complex chemical composition and inter-component interactions.Herein,Fe-Ca/H-Si catalysts were prepared and used for cataly...The regulation of catalytic pyrolysis products of coal tar(CT)is a great challenge due to its complex chemical composition and inter-component interactions.Herein,Fe-Ca/H-Si catalysts were prepared and used for catalytic pyrolysis of CT for upgrading quality by acid treatment and impregnation methods,and the effect of carrier crystallinity on the distribution of CT pyrolysis products was investigated.The results showed that acid treatment disrupted the ordered crystals of silica(H-Si),creating more E’-centres defects as crystallinity decreased,and generating more sites for phenol removal reactions.The phenolic conversion of CT over H-Si increased by 12.42%at 700℃ during pyrolysis compared to SiO2.Meanwhile,the lower crystallinity of H-Si produced a larger free volume,providing sites for the anchoring of Fe and Ca.Fe facilitated the cleavage of C-C bonds and promoted the conversion of naphthalenes to aliphatic hydrocarbons.Additionally,CaO altered the electron distribution of compounds such as 2-ethyl-phenol and promoted their deoxygenation.Model compound experiments showed that the Fe-Ca/H-Si catalyst achieved 79.82% phenol conversion at 700℃,and also promoted the one-step deep reduction of naphthalene to 1-decene.These findings indicate that the Fe-Ca/H-Si catalyst offers a promising strategy for utilization of real CT.展开更多
Objective Rheumatoid arthritis(RA)is a systemic autoimmune disease that affects the small joints of the whole body and degrades the patients’quality of life.Zhengqing Fengtongning(ZF)is a traditional Chinese medicine...Objective Rheumatoid arthritis(RA)is a systemic autoimmune disease that affects the small joints of the whole body and degrades the patients’quality of life.Zhengqing Fengtongning(ZF)is a traditional Chinese medicine preparation used to treat RA.ZF may cause liver injury.In this study,we aimed to develop a prediction model for abnormal liver function caused by ZF.Methods This retrospective study collected data from multiple centers from January 2018 to April 2023.Abnormal liver function was set as the target variable according to the alanine transaminase(ALT)level.Features were screened through univariate analysis and sequential forward selection for modeling.Ten machine learning and deep learning models were compared to find the model that most effectively predicted liver function from the available data.Results This study included 1,913 eligible patients.The LightGBM model exhibited the best performance(accuracy=0.96)out of the 10 learning models.The predictive metrics of the LightGBM model were as follows:precision=0.99,recall rate=0.97,F1_score=0.98,area under the curve(AUC)=0.98,sensitivity=0.97 and specificity=0.85 for predicting ALT<40 U/L;precision=0.60,recall rate=0.83,F1_score=0.70,AUC=0.98,sensitivity=0.83 and specificity=0.97 for predicting 40≤ALT<80 U/L;and precision=0.83,recall rate=0.63,F1_score=0.71,AUC=0.97,sensitivity=0.63 and specificity=1.00 for predicting ALT≥80 U/L.ZF-induced abnormal liver function was found to be associated with high total cholesterol and triglyceride levels,the combination of TNF-αinhibitors,JAK inhibitors,methotrexate+nonsteroidal anti-inflammatory drugs,leflunomide,smoking,older age,and females in middle-age(45-65 years old).Conclusion This study developed a model for predicting ZF-induced abnormal liver function,which may help improve the safety of integrated administration of ZF and Western medicine.展开更多
Accurate detection of fashion design attributes is essential for trend analyses and recommendation systems.Among these attributes,the neckline style plays a key role in shaping garment aesthetics.However,the presence ...Accurate detection of fashion design attributes is essential for trend analyses and recommendation systems.Among these attributes,the neckline style plays a key role in shaping garment aesthetics.However,the presence of complex backgrounds and varied body postures in real-world fashion images presents challenges for reliable neckline detection.To address this problem,this research builds a comprehensive fashion neckline database from online shop images and proposes an efficient fashion neckline detection model based on the YOLOv8 architecture(FN-YOLO).First,the proposed model incorporates a BiFormer attention mechanism into the backbone,enhancing its feature extraction capability.Second,a lightweight multi-level asymmetry detector head(LADH)is designed to replace the original head,effectively reducing the computational complexity and accelerating the detection speed.Last,the original loss function is replaced with Wise-IoU,which improves the localization accuracy of the detection box.The experimental results demonstrate that FN-YOLO achieves a mean average precision(mAP)of 81.7%,showing an absolute improvement of 3.9%over the original YOLOv8 model,and a detection speed of 215.6 frame/s,confirming its suitability for real-time applications in fashion neckline detection.展开更多
Transitions within the boundary layer significantly affect the aerodynamic and aerothermodynamic dynamics of hypersonic vehicles.Accurately predicting these transitions poses a significant challenge in vehicle design....Transitions within the boundary layer significantly affect the aerodynamic and aerothermodynamic dynamics of hypersonic vehicles.Accurately predicting these transitions poses a significant challenge in vehicle design.At high speeds and altitudes,thermochemical processes within the hypersonic boundary layer lead to real gas effects that alter flow stability and further complicate transition prediction.Direct numerical simulation and linear stability theory are used to investigate the effects of chemical reaction-induced terms on the second and cross-flow modes,and to identify the main sources of species disturbances.Efficient stability analysis method for real gas is developed by applying multilevel assumptions to the linear stability equation.The results indicate that at lower wall temperatures,species disturbances primarily arise from convective terms,and there is a continuous contribution from chemical reaction source terms.The contributions of the diffusion and chemical source terms to species disturbances increase with the intensity of chemical reactions.When the nitrogen within the boundary layer is not dissociated or is only weakly dissociated,the assumption of complete freezing of the species disturbances can be employed to enhance the computational efficiency of the linear stability analysis.Chemical non-equilibrium linear stability theory based on the freezing assumption is suitable for most experimental and flight conditions,significantly reducing the computational time for real gas transition predictions,making it comparable to that for perfect gas.展开更多
This research focuses on quality control strategies in real estate HVAC engineering construction management.It first elaborates on the role of HVAC systems and challenges like material compliance risks and installatio...This research focuses on quality control strategies in real estate HVAC engineering construction management.It first elaborates on the role of HVAC systems and challenges like material compliance risks and installation deficiencies.Then it details design validation,vendor qualification,and construction-phase monitoring methods.Case studies in various real estate projects illustrate these strategies,and a 5-phase quality maturity model was proposed for quality improvement.展开更多
In this article,the department of the author Joo-Ho Lee“Department of Surgery,Ewha Womans University Mokdong Hospital,Seoul 07985,Republic of Korea”was incorrectly listed.It has been updated as follows:Joo-Ho Lee.De...In this article,the department of the author Joo-Ho Lee“Department of Surgery,Ewha Womans University Mokdong Hospital,Seoul 07985,Republic of Korea”was incorrectly listed.It has been updated as follows:Joo-Ho Lee.Department of Surgery,Nowon Eulji Medical Center,Eulji University,Seoul 01830,Republic of Korea.展开更多
This paper expounds the characteristics of BIM technology,including visualization,parameterization,and collaboration.It analyzes the quality control requirements of real estate projects and the problems of the traditi...This paper expounds the characteristics of BIM technology,including visualization,parameterization,and collaboration.It analyzes the quality control requirements of real estate projects and the problems of the traditional control system.It introduces the quality control strategies based on BIM,such as constructing the framework,combining with technologies to control deviations,etc.It also mentions the PDCA mechanism,application terminals,etc.,and points out the application obstacles and future development directions.展开更多
Fluctuations in real estate prices are closely linked to the macro-economy,exerting a profound influence on social investment and consumption levels.As a key source of funding for the real estate market,bank credit si...Fluctuations in real estate prices are closely linked to the macro-economy,exerting a profound influence on social investment and consumption levels.As a key source of funding for the real estate market,bank credit significantly affects housing price changes in major Chinese cities.This paper explores the transmission mechanisms and pathways of bank credit on real estate prices through theoretical analysis and empirical research.It constructs a panel regression model to empirically analyze the relationship between bank credit scale and housing prices in 35 large and medium-sized Chinese cities from 2012 to 2022,assess the impact of credit on housing price fluctuations,and compare differences between first-tier and second-tier cities.Based on these findings,the paper proposes suggestions for regulating housing prices by controlling credit scale,aiming to deepen the understanding of the relationship between bank credit and housing prices and support the stable development of China’s macro-economy and real estate market.展开更多
BACKGROUND Glucagon-like peptide-1 receptor agonists(GLP-1RAs)play a key role in managing type 2 diabetes mellitus(T2DM).Transitioning between different GLP-1RA has been proposed as a treatment strategy.AIM To investi...BACKGROUND Glucagon-like peptide-1 receptor agonists(GLP-1RAs)play a key role in managing type 2 diabetes mellitus(T2DM).Transitioning between different GLP-1RA has been proposed as a treatment strategy.AIM To investigate switching patterns between GLP-1RA and their impact on glycemic control.METHODS A retrospective study involving patients with T2DM who initiated GLP-1RA therapy between 2009 and 2021 and transitioned to another GLP-1RA.Baseline glycated hemoglobin(HbA1c)was defined as the most recent measurement within 1 year prior to switching,and follow-up HbA1c was the first measurement recorded 4-15 months post-switch.RESULTS Among 70654 patients initiating GLP-1RA therapy,18047(25.5%)switched regimens.In the 13970 patients with available HbA1c,levels decreased from 8.5%±1.6%to 7.6%±1.4%(P<0.001).HbA1c decreased in 78.3%(10943/13970)of these patients,with the most frequent improvement observed in those switching from daily to weekly GLP-1RA(81%,5582/6890).CONCLUSION Switching between GLP-1RAs can serve as a practical alternative to treatment intensification for effectively managing T2DM.展开更多
The concept of Net Zero Carbon Buildings,which aims to reduce greenhouse gas emissions,is essential in addressing climate change.However,the development of such buildings in Thailand faces significant challenges,inclu...The concept of Net Zero Carbon Buildings,which aims to reduce greenhouse gas emissions,is essential in addressing climate change.However,the development of such buildings in Thailand faces significant challenges,including high construction costs,uncertain returns,and limited investment incentives.This study explores the factors influencing real estate developers’decisions to pursue Net Zero Carbon Buildings in Thailand,with a focus on physical,financial,and policy-related elements.Data collection was done with 388 respondents who are stakeholders,including developers,consultants,designers,and sustainability experts,through an online questionnaire,and analyzed using Multiple Regression Analysis.The independent variables in the analytical model consist of three groups of factors:physical buildings,climate finance,and climate policy.The results indicate that physical building factors,including building age,engineering systems,and design;climate finance factors,such as project cost increases,financial returns,and investment incentives;and climate policy factors,including government policies,international climate agreements,and carbon taxes,significantly influence development decisions.Government policies,building engineering systems,and financial incentives were identified as key positive drivers for investment,while carbon taxes and energy efficiency-focused designs were found to potentially discourage investment due to higher costs.The study concludes that substantial government support such as tax incentives,grants,and low-interest financing is critical to fostering investment in Net Zero Carbon Buildings.Additionally,raising awareness among developers and the private sector about the long-term benefits of these projects is essential to strengthening investment incentives.展开更多
This study employs panel data from 284 Chinese cities(2011-2023)to investigate the impact of digital-real economy integration on urban green and low-carbon transformation.The empirical analysis reveals a distinct east...This study employs panel data from 284 Chinese cities(2011-2023)to investigate the impact of digital-real economy integration on urban green and low-carbon transformation.The empirical analysis reveals a distinct east-west gradient in both integration and transformation levels,with eastern cities leading the trend,alongside a consistent nationwide increase.We find that digital-real economy integration significantly advances urban green and low-carbon development and generates positive spatial spillover effects.Mechanism analyses show that integration facilitates this transformation by enhancing factor allocation efficiency,improving energy utilization efficiency,and upgrading the industrial structure.The effects are more pronounced in eastern cities,non-old industrial bases,and resource-dependent cities.Policy implications include formulating digital strategies to spur industrial upgrading,investing in technology and talent,promoting clean energy,and supporting green industries to foster high-quality,low-carbon urban development.展开更多
Real estate construction management faces technological innovation and risk-control challenges.Digital,intelligent,and green construction technologies are driving management transformation.This paper explores innovati...Real estate construction management faces technological innovation and risk-control challenges.Digital,intelligent,and green construction technologies are driving management transformation.This paper explores innovation paths like BIM,IoT,AI robots,and eco-friendly materials,analyzes risk characteristics,and proposes strategies such as a full-process risk management framework,technology verification,standardization,and data security systems.It also discusses the supporting role of government regulation,industry standards,corporate governance,and personnel training,aiming to provide theoretical and practical guidance for modernizing real estate construction management.展开更多
Given the existence of real estate market bubbles and risks arising from high government debt,countries are faced with the challenge of preventing systemic risks.This study investigates the macroeconomic dynamics of t...Given the existence of real estate market bubbles and risks arising from high government debt,countries are faced with the challenge of preventing systemic risks.This study investigates the macroeconomic dynamics of the real estate market and local government debt risk from the perspective of liquidity constraints.We build a dynamic stochastic general equilibrium model with real estate and local government debt risk based on the New Keynesian-Dynamic Stochastic General Equilibrium Model(NK-DSGE)model to investigate the transmission path of local government debt risk under real estate regulation.In addition,we analyze the risk transmission between the real estate market and local government under different tax systems and investigate the shock to household welfare from a local government debt default.The results show monetary policy can effectively control the scale of local government debt to reduce default risk.An increase in property taxes that restrains housing demand can effectively regulate the real estate market.Although reducing taxes can increase macroeconomic output,reducing tax rates on consumption,capital,and labor weakens the liquidity of household assets.Further,lowering taxes increases local government default risk,which reduces household welfare and makes it more difficult for local governments to deleverage.Our findings provide important insights for countries seeking an effective real estate regulation mechanism to curb local government default risk.展开更多
文摘聚焦小学英语“教学评一体化”的教学理念,针对当前课堂评价存在的“独揽式”评价、“延迟式”反馈、“单维式”聚焦、“虚化式”情境等问题,以外研社《英语》四年级下册Unit 5 School Events中第三课时“Field trip”为例,创新性地提出并构建基于REAL模式的“问题链驱动型”表现性评价体系。
文摘In this paper,we introduce the real pairwise completely positive(RPCP)matrices with one of them is necessarily positive semidefinite while the other one is necessarily entrywise nonnegative,which has a real pairwise completely positive(RPCP)decomposition.We study the properties of RPCP matrices and give some necessary and sufficient conditions for a matrix pair to be RPCP.First,we give an equivalent decomposition for the RPCP matrices,which is different from the RPCP-decomposition and show that the matrix pair(X,X)is RPCP if and only if X is completely positive.Besides,we also prove that the RPCP matrices checking problem is equivalent to the separable completion problem.A semidefinite algorithm is also proposed for detecting whether or not a matrix pair is RPCP.The asymptotic and finite convergence of the algorithm are also discussed.If it is RPCP,we can further give a RPCP-decomposition for it;if it is not,we can obtain a certificate for this.
基金supported by the National Natural Science Foundation of China(No.62401597)the Natural Science Foundation of Hunan Province,China(No.2024JJ6469)the Scientific Research Project of National University of Defense Technology,China(No.ZK22-02)。
文摘The information exchange among satellites is crucial for the implementation of cluster satellite cooperative missions.However,achieving fast perception,rapid networking,and highprecision time synchronization among nodes without the support of the Global Navigation Satellite System(GNSS)and other prior information remains a formidable challenge to real-time wireless networks design.Therefore,a self-organizing network methodology based on multi-agent negotiation is proposed,which autonomously determines the master node through collaborative negotiation and competitive elections.On this basis,a real-time network protocol design is carried out and a high-precision time synchronization method with motion compensation is proposed.Simulation results demonstrate that the proposed method enables rapid networking with the capability of selfdiscovery,self-organization,and self-healing.For a cluster of 8 satellites,the networking time and the reorganization time are less than 4 s.The time synchronization accuracy exceeds 10-10s with motion compensation,demonstrating excellent real-time performance and stability.The research presented in this paper provides a valuable reference for the design and application of spacebased self-organizing networks for satellite cluster.
基金Supported by National Natural Science Foundation of China(Grant No.11872033)Beijing Municipal Natural Science Foundation(Grant No.3172017)。
文摘Many experiments have supported the contact models,such as the GW and MB models,but the majority of previous validations have been performed under light loads,resulting in a linear relationship between normal force and contact area.However,the real contact area fraction should never equal one;there must be a limit smaller than the apparent area,implying that the real contact area cannot increase linearly indefinitely.In this paper,the real contact area between two polymethylmethacrylate(PMMA)blocks under heavy load is measured using the total reflection method,and the contact area is analyzed using the image processing method.The results show that the real contact area increases with normal load linearly in light loads but non-linearly in heavy loads;the number of contact spots increases with load linearly in light loads but also non-linearly in heavy loads,synchronous with the change in the real contact area.The GW,MB,and Zhao,Maietta,and Chang(ZMC)models were used to predict the experiment results,but none of them predicted the non-linear stage.A revised GW model based on the bulk deformation hypothesis performs better in predicting the non-linear stage.The study’s findings can be applied to PMMA or other similar materials,and they can serve as a useful reference for future research on the contact mechanisms of other materials.
基金the Reserve Program for Young and Middle-aged Academic and Technical Leaders in Yunnan Province(202205AC160031)the Yunnan Fundamental Research Projects(202301BF070001-010,202501AS070077)+1 种基金the National College Student Innovation and Entrepreneurship Project(202310673093)the Yunnan University Students Innovation and Entrepreneurship Project(S202310673170).
文摘The regulation of catalytic pyrolysis products of coal tar(CT)is a great challenge due to its complex chemical composition and inter-component interactions.Herein,Fe-Ca/H-Si catalysts were prepared and used for catalytic pyrolysis of CT for upgrading quality by acid treatment and impregnation methods,and the effect of carrier crystallinity on the distribution of CT pyrolysis products was investigated.The results showed that acid treatment disrupted the ordered crystals of silica(H-Si),creating more E’-centres defects as crystallinity decreased,and generating more sites for phenol removal reactions.The phenolic conversion of CT over H-Si increased by 12.42%at 700℃ during pyrolysis compared to SiO2.Meanwhile,the lower crystallinity of H-Si produced a larger free volume,providing sites for the anchoring of Fe and Ca.Fe facilitated the cleavage of C-C bonds and promoted the conversion of naphthalenes to aliphatic hydrocarbons.Additionally,CaO altered the electron distribution of compounds such as 2-ethyl-phenol and promoted their deoxygenation.Model compound experiments showed that the Fe-Ca/H-Si catalyst achieved 79.82% phenol conversion at 700℃,and also promoted the one-step deep reduction of naphthalene to 1-decene.These findings indicate that the Fe-Ca/H-Si catalyst offers a promising strategy for utilization of real CT.
基金supported by the Budgeted Fund of Shanghai University of Traditional Chinese Medicine(Natural Science)(No.2021LK037)the Open Project of Qinghai Province Key Laboratory of Tibetan Medicine Pharmacology and Safety Evaluation(No.2021-ZY-03).
文摘Objective Rheumatoid arthritis(RA)is a systemic autoimmune disease that affects the small joints of the whole body and degrades the patients’quality of life.Zhengqing Fengtongning(ZF)is a traditional Chinese medicine preparation used to treat RA.ZF may cause liver injury.In this study,we aimed to develop a prediction model for abnormal liver function caused by ZF.Methods This retrospective study collected data from multiple centers from January 2018 to April 2023.Abnormal liver function was set as the target variable according to the alanine transaminase(ALT)level.Features were screened through univariate analysis and sequential forward selection for modeling.Ten machine learning and deep learning models were compared to find the model that most effectively predicted liver function from the available data.Results This study included 1,913 eligible patients.The LightGBM model exhibited the best performance(accuracy=0.96)out of the 10 learning models.The predictive metrics of the LightGBM model were as follows:precision=0.99,recall rate=0.97,F1_score=0.98,area under the curve(AUC)=0.98,sensitivity=0.97 and specificity=0.85 for predicting ALT<40 U/L;precision=0.60,recall rate=0.83,F1_score=0.70,AUC=0.98,sensitivity=0.83 and specificity=0.97 for predicting 40≤ALT<80 U/L;and precision=0.83,recall rate=0.63,F1_score=0.71,AUC=0.97,sensitivity=0.63 and specificity=1.00 for predicting ALT≥80 U/L.ZF-induced abnormal liver function was found to be associated with high total cholesterol and triglyceride levels,the combination of TNF-αinhibitors,JAK inhibitors,methotrexate+nonsteroidal anti-inflammatory drugs,leflunomide,smoking,older age,and females in middle-age(45-65 years old).Conclusion This study developed a model for predicting ZF-induced abnormal liver function,which may help improve the safety of integrated administration of ZF and Western medicine.
基金Fundamental Research Funds for the Central Universities,China(Nos.2232020G-08 and 2232020E-03)Shanghai University Knowledge Service Platform,China(No.13S107024)。
文摘Accurate detection of fashion design attributes is essential for trend analyses and recommendation systems.Among these attributes,the neckline style plays a key role in shaping garment aesthetics.However,the presence of complex backgrounds and varied body postures in real-world fashion images presents challenges for reliable neckline detection.To address this problem,this research builds a comprehensive fashion neckline database from online shop images and proposes an efficient fashion neckline detection model based on the YOLOv8 architecture(FN-YOLO).First,the proposed model incorporates a BiFormer attention mechanism into the backbone,enhancing its feature extraction capability.Second,a lightweight multi-level asymmetry detector head(LADH)is designed to replace the original head,effectively reducing the computational complexity and accelerating the detection speed.Last,the original loss function is replaced with Wise-IoU,which improves the localization accuracy of the detection box.The experimental results demonstrate that FN-YOLO achieves a mean average precision(mAP)of 81.7%,showing an absolute improvement of 3.9%over the original YOLOv8 model,and a detection speed of 215.6 frame/s,confirming its suitability for real-time applications in fashion neckline detection.
基金supported by the National Natural Science Foundation of China(No.92271102).
文摘Transitions within the boundary layer significantly affect the aerodynamic and aerothermodynamic dynamics of hypersonic vehicles.Accurately predicting these transitions poses a significant challenge in vehicle design.At high speeds and altitudes,thermochemical processes within the hypersonic boundary layer lead to real gas effects that alter flow stability and further complicate transition prediction.Direct numerical simulation and linear stability theory are used to investigate the effects of chemical reaction-induced terms on the second and cross-flow modes,and to identify the main sources of species disturbances.Efficient stability analysis method for real gas is developed by applying multilevel assumptions to the linear stability equation.The results indicate that at lower wall temperatures,species disturbances primarily arise from convective terms,and there is a continuous contribution from chemical reaction source terms.The contributions of the diffusion and chemical source terms to species disturbances increase with the intensity of chemical reactions.When the nitrogen within the boundary layer is not dissociated or is only weakly dissociated,the assumption of complete freezing of the species disturbances can be employed to enhance the computational efficiency of the linear stability analysis.Chemical non-equilibrium linear stability theory based on the freezing assumption is suitable for most experimental and flight conditions,significantly reducing the computational time for real gas transition predictions,making it comparable to that for perfect gas.
文摘This research focuses on quality control strategies in real estate HVAC engineering construction management.It first elaborates on the role of HVAC systems and challenges like material compliance risks and installation deficiencies.Then it details design validation,vendor qualification,and construction-phase monitoring methods.Case studies in various real estate projects illustrate these strategies,and a 5-phase quality maturity model was proposed for quality improvement.
文摘In this article,the department of the author Joo-Ho Lee“Department of Surgery,Ewha Womans University Mokdong Hospital,Seoul 07985,Republic of Korea”was incorrectly listed.It has been updated as follows:Joo-Ho Lee.Department of Surgery,Nowon Eulji Medical Center,Eulji University,Seoul 01830,Republic of Korea.
文摘This paper expounds the characteristics of BIM technology,including visualization,parameterization,and collaboration.It analyzes the quality control requirements of real estate projects and the problems of the traditional control system.It introduces the quality control strategies based on BIM,such as constructing the framework,combining with technologies to control deviations,etc.It also mentions the PDCA mechanism,application terminals,etc.,and points out the application obstacles and future development directions.
文摘Fluctuations in real estate prices are closely linked to the macro-economy,exerting a profound influence on social investment and consumption levels.As a key source of funding for the real estate market,bank credit significantly affects housing price changes in major Chinese cities.This paper explores the transmission mechanisms and pathways of bank credit on real estate prices through theoretical analysis and empirical research.It constructs a panel regression model to empirically analyze the relationship between bank credit scale and housing prices in 35 large and medium-sized Chinese cities from 2012 to 2022,assess the impact of credit on housing price fluctuations,and compare differences between first-tier and second-tier cities.Based on these findings,the paper proposes suggestions for regulating housing prices by controlling credit scale,aiming to deepen the understanding of the relationship between bank credit and housing prices and support the stable development of China’s macro-economy and real estate market.
文摘BACKGROUND Glucagon-like peptide-1 receptor agonists(GLP-1RAs)play a key role in managing type 2 diabetes mellitus(T2DM).Transitioning between different GLP-1RA has been proposed as a treatment strategy.AIM To investigate switching patterns between GLP-1RA and their impact on glycemic control.METHODS A retrospective study involving patients with T2DM who initiated GLP-1RA therapy between 2009 and 2021 and transitioned to another GLP-1RA.Baseline glycated hemoglobin(HbA1c)was defined as the most recent measurement within 1 year prior to switching,and follow-up HbA1c was the first measurement recorded 4-15 months post-switch.RESULTS Among 70654 patients initiating GLP-1RA therapy,18047(25.5%)switched regimens.In the 13970 patients with available HbA1c,levels decreased from 8.5%±1.6%to 7.6%±1.4%(P<0.001).HbA1c decreased in 78.3%(10943/13970)of these patients,with the most frequent improvement observed in those switching from daily to weekly GLP-1RA(81%,5582/6890).CONCLUSION Switching between GLP-1RAs can serve as a practical alternative to treatment intensification for effectively managing T2DM.
文摘The concept of Net Zero Carbon Buildings,which aims to reduce greenhouse gas emissions,is essential in addressing climate change.However,the development of such buildings in Thailand faces significant challenges,including high construction costs,uncertain returns,and limited investment incentives.This study explores the factors influencing real estate developers’decisions to pursue Net Zero Carbon Buildings in Thailand,with a focus on physical,financial,and policy-related elements.Data collection was done with 388 respondents who are stakeholders,including developers,consultants,designers,and sustainability experts,through an online questionnaire,and analyzed using Multiple Regression Analysis.The independent variables in the analytical model consist of three groups of factors:physical buildings,climate finance,and climate policy.The results indicate that physical building factors,including building age,engineering systems,and design;climate finance factors,such as project cost increases,financial returns,and investment incentives;and climate policy factors,including government policies,international climate agreements,and carbon taxes,significantly influence development decisions.Government policies,building engineering systems,and financial incentives were identified as key positive drivers for investment,while carbon taxes and energy efficiency-focused designs were found to potentially discourage investment due to higher costs.The study concludes that substantial government support such as tax incentives,grants,and low-interest financing is critical to fostering investment in Net Zero Carbon Buildings.Additionally,raising awareness among developers and the private sector about the long-term benefits of these projects is essential to strengthening investment incentives.
基金funded by the China Agricultural University 2115 Talent Project.
文摘This study employs panel data from 284 Chinese cities(2011-2023)to investigate the impact of digital-real economy integration on urban green and low-carbon transformation.The empirical analysis reveals a distinct east-west gradient in both integration and transformation levels,with eastern cities leading the trend,alongside a consistent nationwide increase.We find that digital-real economy integration significantly advances urban green and low-carbon development and generates positive spatial spillover effects.Mechanism analyses show that integration facilitates this transformation by enhancing factor allocation efficiency,improving energy utilization efficiency,and upgrading the industrial structure.The effects are more pronounced in eastern cities,non-old industrial bases,and resource-dependent cities.Policy implications include formulating digital strategies to spur industrial upgrading,investing in technology and talent,promoting clean energy,and supporting green industries to foster high-quality,low-carbon urban development.
文摘Real estate construction management faces technological innovation and risk-control challenges.Digital,intelligent,and green construction technologies are driving management transformation.This paper explores innovation paths like BIM,IoT,AI robots,and eco-friendly materials,analyzes risk characteristics,and proposes strategies such as a full-process risk management framework,technology verification,standardization,and data security systems.It also discusses the supporting role of government regulation,industry standards,corporate governance,and personnel training,aiming to provide theoretical and practical guidance for modernizing real estate construction management.
基金supported by the National Natural Science Foundation of China(Nos.72271135,72141304,71901130)National Social Science Fund of China(22&ZD117)+3 种基金Laboratory of Computation and Analytics of Complex Management Systems(Tianjin University)Special Funds for Taishan Scholars(tsqn202211120)2024 Qingdao Finance Society Key Project2024 Qingdao Social Science Planning Project.
文摘Given the existence of real estate market bubbles and risks arising from high government debt,countries are faced with the challenge of preventing systemic risks.This study investigates the macroeconomic dynamics of the real estate market and local government debt risk from the perspective of liquidity constraints.We build a dynamic stochastic general equilibrium model with real estate and local government debt risk based on the New Keynesian-Dynamic Stochastic General Equilibrium Model(NK-DSGE)model to investigate the transmission path of local government debt risk under real estate regulation.In addition,we analyze the risk transmission between the real estate market and local government under different tax systems and investigate the shock to household welfare from a local government debt default.The results show monetary policy can effectively control the scale of local government debt to reduce default risk.An increase in property taxes that restrains housing demand can effectively regulate the real estate market.Although reducing taxes can increase macroeconomic output,reducing tax rates on consumption,capital,and labor weakens the liquidity of household assets.Further,lowering taxes increases local government default risk,which reduces household welfare and makes it more difficult for local governments to deleverage.Our findings provide important insights for countries seeking an effective real estate regulation mechanism to curb local government default risk.
