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
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
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
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
Background Medical informatics accumulated vast amounts of data for clinical diagnosis and treatment.However,limited access to follow-up data and the difficulty in integrating data across diverse platforms continue to...Background Medical informatics accumulated vast amounts of data for clinical diagnosis and treatment.However,limited access to follow-up data and the difficulty in integrating data across diverse platforms continue to pose significant barriers to clinical research progress.In response,our research team has embarked on the development of a specialized clinical research database for cardiology,thereby establishing a comprehensive digital platform that facilitates both clinical decision-making and research endeavors.Methods The database incorporated actual clinical data from patients who received treatment at the Cardiovascular Medicine Department of Chinese PLA General Hospital from 2012 to 2021.It included comprehensive data on patients'basic information,medical history,non-invasive imaging studies,laboratory test results,as well as peri-procedural information related to interventional surgeries,extracted from the Hospital Information System.Additionally,an innovative artificial intelligence(AI)-powered interactive follow-up system had been developed,ensuring that nearly all myocardial infarction patients received at least one post-discharge follow-up,thereby achieving comprehensive data management throughout the entire care continuum for highrisk patients.Results This database integrates extensive cross-sectional and longitudinal patient data,with a focus on higher-risk acute coronary syndrome patients.It achieves the integration of structured and unstructured clinical data,while innovatively incorporating AI and automatic speech recognition technologies to enhance data integration and workflow efficiency.It creates a comprehensive patient view,thereby improving diagnostic and follow-up quality,and provides high-quality data to support clinical research.Despite limitations in unstructured data standardization and biological sample integrity,the database's development is accompanied by ongoing optimization efforts.Conclusion The cardiovascular specialty clinical database is a comprehensive digital archive integrating clinical treatment and research,which facilitates the digital and intelligent transformation of clinical diagnosis and treatment processes.It supports clinical decision-making and offers data support and potential research directions for the specialized management of cardiovascular diseases.展开更多
Background:The use of third-generation different tyrosine kinase inhibitors(TKIs)is considered the most effective option for treating advanced non-small cell lung cancer(aNSCLC)with epidermal growth factor receptor(EG...Background:The use of third-generation different tyrosine kinase inhibitors(TKIs)is considered the most effective option for treating advanced non-small cell lung cancer(aNSCLC)with epidermal growth factor receptor(EGFR)mutations.However,there is limited information on the efficacy and safety of aumolertinib in patients remains these cases.Methods:The clinical records of patients receiving aumolertinib as first-line therapy across four hospitals in the Guangxi Zhuang Autonomous Region from April 2020 to December 2021 were retrospectively analyzed,using progression-free survival(PFS)as the primary endpoint and overall survival(OS)representing the secondary endpoint.Adverse events(AEs)were assessed using the Common Terminology Criteria for Adverse Events(CTCAE v5.0).Results:Approximately 47 patients with EGFR-Mutant aNSCLC were recruited,including 1 squamous cell carcinoma(SCC)patient,1 EGFR G719C mutated patient,1 EGFR S768 patient mutated,and 1 EGFR KDD mutated patient.The average follow-up duration was 48.1 months concluding in August 2024.The median PFS(mPFS)was 22.2 months(95%CI 17.6 to 26.7),while the median OS(mOS)was 39.7 months(95%CI 32.6 to 46.9).Patients with deletion of exon19 in EGFR(19del)showeda mPFS of 28.4 months,markedlylonger than those with the L858R point mutation(L858R),who had a mPFS of 15.2 months(p<0.036).Overall,22 patients(46.8%)had central nervous system(CNS)metastases at the=basal level.The mPFS for this cohort was 19.7 months.Rashes(17.0%),skin decrustation(4.2%),pruritus(4.2%),dental ulcers(4.2%),increased creatine kinase(2.1%),and musculoskeletal pains(2.1%)were the most prevalent AEs in this study.Grade 3 and higher AEs were observed at a rate of 4.2%.Conclusion:This study concluded that aumolertinib has considerable safety and efficacy for EGFR-mutant NSCLC in a first-line defense.展开更多
Although the image dehazing problem has received considerable attention over recent years,the existing models often prioritise performance at the expense of complexity,making them unsuitable for real-world application...Although the image dehazing problem has received considerable attention over recent years,the existing models often prioritise performance at the expense of complexity,making them unsuitable for real-world applications,which require algorithms to be deployed on resource constrained-devices.To address this challenge,we propose WaveLiteDehaze-Network(WLD-Net),an end-to-end dehazing model that delivers performance comparable to complex models while operating in real time and using significantly fewer parameters.This approach capitalises on the insight that haze predominantly affects low-frequency infor-mation.By exclusively processing the image in the frequency domain using discrete wavelet transform(DWT),we segregate the image into high and low frequencies and process them separately.This allows us to preserve high-frequency details and recover low-frequency components affected by haze,distinguishing our method from existing approaches that use spatial domain processing as the backbone,with DWT serving as an auxiliary component.DWT is applied at multiple levels for better in-formation retention while also accelerating computation by downsampling feature maps.Subsequently,a learning-based fusion mechanism reintegrates the processed frequencies to reconstruct the dehazed image.Experiments show that WLD-Net out-performs other low-parameter models on real-world hazy images and rivals much larger models,achieving the highest PSNR and SSIM scores on the O-Haze dataset.Qualitatively,the proposed method demonstrates its effectiveness in handling a diverse range of haze types,delivering visually pleasing results and robust performance,while also generalising well across different scenarios.With only 0.385 million parameters(more than 100 times smaller than comparable dehazing methods),WLD-Net processes 1024×1024 images in just 0.045 s,highlighting its applicability across various real-world scenarios.The code is available at https://github.com/AliMurtaza29/WLD-Net.展开更多
Diffuse large B-cell lymphoma(DLBCL),the most common subtype of non-Hodgkin’s lymphoma(NHL)worldwide,accounts for 39% and 44% of nodal and extranodal NHL cases in China,respectively1.Standard first-line treatment for...Diffuse large B-cell lymphoma(DLBCL),the most common subtype of non-Hodgkin’s lymphoma(NHL)worldwide,accounts for 39% and 44% of nodal and extranodal NHL cases in China,respectively1.Standard first-line treatment for DLBCL is chemo-immunotherapy with rituximab,cyclophos-phamide,doxorubicin,vincristine,and prednisone,which cures 50%-60% of patients2.展开更多
Although ray tracing produces high-fidelity, realistic images, it is considered computationally burdensome when implemented on a high rendering rate system. Perception-driven rendering techniques generate images with ...Although ray tracing produces high-fidelity, realistic images, it is considered computationally burdensome when implemented on a high rendering rate system. Perception-driven rendering techniques generate images with minimal noise and distortion that are generally acceptable to the human visual system, thereby reducing rendering costs. In this paper, we introduce a perception-entropy-driven temporal reusing method to accelerate real-time ray tracing. We first build a just noticeable difference(JND) model to represent the uncertainty of ray samples and image space masking effects. Then, we expand the shading gradient through gradient max-pooling and gradient filtering to enlarge the visual receipt field. Finally, we dynamically optimize reusable time segments to improve the accuracy of temporal reusing. Compared with Monte Carlo ray tracing, our algorithm enhances frames per second(fps) by 1.93× to 2.96× at 8 to 16 samples per pixel, significantly accelerating the Monte Carlo ray tracing process while maintaining visual quality.展开更多
Transitioning real estate development toward low-carbon operations is a critical strategy for China to achieve its carbon peaking and neutrality targets.Accurately calculating CO_(2) emissions from real estate develop...Transitioning real estate development toward low-carbon operations is a critical strategy for China to achieve its carbon peaking and neutrality targets.Accurately calculating CO_(2) emissions from real estate development is essential for effective implementation of low-carbon strategies.However,research that specifically addresses CO_(2) emissions from real estate development is lacking.To fill this knowledge gap,this study examined CO_(2) emissions from China's real estate development between 2000 and 2020,presenting a comprehensive analysis of the production and consumption aspects of emissions,and inter-provincial transfers of emissions driven by the sector.Our findings reveal a significant increase in embodied CO_(2) emissions fromChina's real estate development,escalating from 145.5Mt in 2000 to 477.3Mt in 2020.The proportion of emissions attributable to real estate development among China's total CO_(2) emissions ranged from5%to 6%between 2000 and 2020,underscoring the sector's non-negligible impact on the country's overall CO_(2) emissions.Our analysis demonstrated that building material production,especially steel and cement,contributed significantly to the sector's emissions,underscoring the need for decarbonization and the adoption of green building materials.Additionally,a marginal increase in CO_(2) emissions per constructed area requires enhanced sustainable construction practices.Furthermore,our study revealed that the ongoing rise in inter-provincial CO_(2) emissions transfer due to real estate development intensifies carbon inequality across provinces.These findings are instrumental for policymakers and stakeholders to develop targeted interventions to mitigate CO_(2) emissions and promote sustainable growth in China's real estate sector.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.
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Noncommunicable Chronic Diseases-National Science and Technology Major Project(2023ZD0503906)。
文摘Background Medical informatics accumulated vast amounts of data for clinical diagnosis and treatment.However,limited access to follow-up data and the difficulty in integrating data across diverse platforms continue to pose significant barriers to clinical research progress.In response,our research team has embarked on the development of a specialized clinical research database for cardiology,thereby establishing a comprehensive digital platform that facilitates both clinical decision-making and research endeavors.Methods The database incorporated actual clinical data from patients who received treatment at the Cardiovascular Medicine Department of Chinese PLA General Hospital from 2012 to 2021.It included comprehensive data on patients'basic information,medical history,non-invasive imaging studies,laboratory test results,as well as peri-procedural information related to interventional surgeries,extracted from the Hospital Information System.Additionally,an innovative artificial intelligence(AI)-powered interactive follow-up system had been developed,ensuring that nearly all myocardial infarction patients received at least one post-discharge follow-up,thereby achieving comprehensive data management throughout the entire care continuum for highrisk patients.Results This database integrates extensive cross-sectional and longitudinal patient data,with a focus on higher-risk acute coronary syndrome patients.It achieves the integration of structured and unstructured clinical data,while innovatively incorporating AI and automatic speech recognition technologies to enhance data integration and workflow efficiency.It creates a comprehensive patient view,thereby improving diagnostic and follow-up quality,and provides high-quality data to support clinical research.Despite limitations in unstructured data standardization and biological sample integrity,the database's development is accompanied by ongoing optimization efforts.Conclusion The cardiovascular specialty clinical database is a comprehensive digital archive integrating clinical treatment and research,which facilitates the digital and intelligent transformation of clinical diagnosis and treatment processes.It supports clinical decision-making and offers data support and potential research directions for the specialized management of cardiovascular diseases.
基金supported by the National Natural Science Foundation of China(grant nos.82260498 and 82160471)Quzhou City Qujiang District Life Oasis PublicWelfare Service Center,Health Development Promotion Project-Cancer Research Project(grant no.BJHA-CRP-033)+1 种基金Guangxi Medical and Health Key Discipline Construction Project,2021 Guilin City Science Research and Technology Development Plan Project(grant no.20210227-7-9)Beijing Xisike Clinical Oncology Research Foundation(grant no.Y-QL202101-0214).
文摘Background:The use of third-generation different tyrosine kinase inhibitors(TKIs)is considered the most effective option for treating advanced non-small cell lung cancer(aNSCLC)with epidermal growth factor receptor(EGFR)mutations.However,there is limited information on the efficacy and safety of aumolertinib in patients remains these cases.Methods:The clinical records of patients receiving aumolertinib as first-line therapy across four hospitals in the Guangxi Zhuang Autonomous Region from April 2020 to December 2021 were retrospectively analyzed,using progression-free survival(PFS)as the primary endpoint and overall survival(OS)representing the secondary endpoint.Adverse events(AEs)were assessed using the Common Terminology Criteria for Adverse Events(CTCAE v5.0).Results:Approximately 47 patients with EGFR-Mutant aNSCLC were recruited,including 1 squamous cell carcinoma(SCC)patient,1 EGFR G719C mutated patient,1 EGFR S768 patient mutated,and 1 EGFR KDD mutated patient.The average follow-up duration was 48.1 months concluding in August 2024.The median PFS(mPFS)was 22.2 months(95%CI 17.6 to 26.7),while the median OS(mOS)was 39.7 months(95%CI 32.6 to 46.9).Patients with deletion of exon19 in EGFR(19del)showeda mPFS of 28.4 months,markedlylonger than those with the L858R point mutation(L858R),who had a mPFS of 15.2 months(p<0.036).Overall,22 patients(46.8%)had central nervous system(CNS)metastases at the=basal level.The mPFS for this cohort was 19.7 months.Rashes(17.0%),skin decrustation(4.2%),pruritus(4.2%),dental ulcers(4.2%),increased creatine kinase(2.1%),and musculoskeletal pains(2.1%)were the most prevalent AEs in this study.Grade 3 and higher AEs were observed at a rate of 4.2%.Conclusion:This study concluded that aumolertinib has considerable safety and efficacy for EGFR-mutant NSCLC in a first-line defense.
基金Japan International Cooperation Agency(JICA)via Malaysia-Japan Linkage Research Grant 2024.
文摘Although the image dehazing problem has received considerable attention over recent years,the existing models often prioritise performance at the expense of complexity,making them unsuitable for real-world applications,which require algorithms to be deployed on resource constrained-devices.To address this challenge,we propose WaveLiteDehaze-Network(WLD-Net),an end-to-end dehazing model that delivers performance comparable to complex models while operating in real time and using significantly fewer parameters.This approach capitalises on the insight that haze predominantly affects low-frequency infor-mation.By exclusively processing the image in the frequency domain using discrete wavelet transform(DWT),we segregate the image into high and low frequencies and process them separately.This allows us to preserve high-frequency details and recover low-frequency components affected by haze,distinguishing our method from existing approaches that use spatial domain processing as the backbone,with DWT serving as an auxiliary component.DWT is applied at multiple levels for better in-formation retention while also accelerating computation by downsampling feature maps.Subsequently,a learning-based fusion mechanism reintegrates the processed frequencies to reconstruct the dehazed image.Experiments show that WLD-Net out-performs other low-parameter models on real-world hazy images and rivals much larger models,achieving the highest PSNR and SSIM scores on the O-Haze dataset.Qualitatively,the proposed method demonstrates its effectiveness in handling a diverse range of haze types,delivering visually pleasing results and robust performance,while also generalising well across different scenarios.With only 0.385 million parameters(more than 100 times smaller than comparable dehazing methods),WLD-Net processes 1024×1024 images in just 0.045 s,highlighting its applicability across various real-world scenarios.The code is available at https://github.com/AliMurtaza29/WLD-Net.
基金sponsored by Shanghai Roche Pharmaceuticals Ltd.
文摘Diffuse large B-cell lymphoma(DLBCL),the most common subtype of non-Hodgkin’s lymphoma(NHL)worldwide,accounts for 39% and 44% of nodal and extranodal NHL cases in China,respectively1.Standard first-line treatment for DLBCL is chemo-immunotherapy with rituximab,cyclophos-phamide,doxorubicin,vincristine,and prednisone,which cures 50%-60% of patients2.
基金supported by the National Natural Science Foundation of China (No.U19A2063)the Jilin Provincial Science&Technology Development Program of China (No.20230201080GX)。
文摘Although ray tracing produces high-fidelity, realistic images, it is considered computationally burdensome when implemented on a high rendering rate system. Perception-driven rendering techniques generate images with minimal noise and distortion that are generally acceptable to the human visual system, thereby reducing rendering costs. In this paper, we introduce a perception-entropy-driven temporal reusing method to accelerate real-time ray tracing. We first build a just noticeable difference(JND) model to represent the uncertainty of ray samples and image space masking effects. Then, we expand the shading gradient through gradient max-pooling and gradient filtering to enlarge the visual receipt field. Finally, we dynamically optimize reusable time segments to improve the accuracy of temporal reusing. Compared with Monte Carlo ray tracing, our algorithm enhances frames per second(fps) by 1.93× to 2.96× at 8 to 16 samples per pixel, significantly accelerating the Monte Carlo ray tracing process while maintaining visual quality.
文摘Transitioning real estate development toward low-carbon operations is a critical strategy for China to achieve its carbon peaking and neutrality targets.Accurately calculating CO_(2) emissions from real estate development is essential for effective implementation of low-carbon strategies.However,research that specifically addresses CO_(2) emissions from real estate development is lacking.To fill this knowledge gap,this study examined CO_(2) emissions from China's real estate development between 2000 and 2020,presenting a comprehensive analysis of the production and consumption aspects of emissions,and inter-provincial transfers of emissions driven by the sector.Our findings reveal a significant increase in embodied CO_(2) emissions fromChina's real estate development,escalating from 145.5Mt in 2000 to 477.3Mt in 2020.The proportion of emissions attributable to real estate development among China's total CO_(2) emissions ranged from5%to 6%between 2000 and 2020,underscoring the sector's non-negligible impact on the country's overall CO_(2) emissions.Our analysis demonstrated that building material production,especially steel and cement,contributed significantly to the sector's emissions,underscoring the need for decarbonization and the adoption of green building materials.Additionally,a marginal increase in CO_(2) emissions per constructed area requires enhanced sustainable construction practices.Furthermore,our study revealed that the ongoing rise in inter-provincial CO_(2) emissions transfer due to real estate development intensifies carbon inequality across provinces.These findings are instrumental for policymakers and stakeholders to develop targeted interventions to mitigate CO_(2) emissions and promote sustainable growth in China's real estate sector.
