High-resolution sub-meter satellite data play an increasingly crucial role in the 3D real-scene China construction initiative.Current research on 3D reconstruction using high-resolution satellite data primarily focuse...High-resolution sub-meter satellite data play an increasingly crucial role in the 3D real-scene China construction initiative.Current research on 3D reconstruction using high-resolution satellite data primarily focuses on two approaches:Multi-stereo fusion and multi-view matching.While algorithms based on these two methodologies for multi-view image 3D reconstruction have reached relative maturity,no systematic comparison has been conducted specifically on satellite data to evaluate the relative merits of multi-stereo fusion versus multi-view matching methods.This paper conducts a comparative analysis of the practical accuracy of both approaches using high-resolution satellite datasets from diverse geographical regions.To ensure fairness in accuracy comparison,both methodologies employ non-local dense matching for cost optimization.Results demonstrate that the multi-stereo fusion method outperforms multi-view matching in all evaluation metrics,exhibiting approximately 1.2%higher average matching accuracy and 10.7%superior elevation precision in the experimental datasets.Therefore,for 3D modeling applications using satellite data,we recommend adopting the multi-stereo fusion approach for digital surface model(DSM)product generation.展开更多
Ground source heat pump systems demonstrate significant potential for northern rural heating applications;however,the effectiveness of these systems is often limited by challenging geological conditions.For instance,i...Ground source heat pump systems demonstrate significant potential for northern rural heating applications;however,the effectiveness of these systems is often limited by challenging geological conditions.For instance,in certain regions,the installation of buried pipes for heat exchangers may be complicated,and these pipes may not always serve as efficient low-temperature heat sources for the heat pumps of the system.To address this issue,the current study explored the use of solar-energy-collecting equipment to supplement buried pipes.In this design,both solar energy and geothermal energy provide low-temperature heat to the heat pump.First,a simulation model of a solar‒ground source heat pump coupling system was established using TRNSYS.The accuracy of this model was validated through experiments and simulations on various system configurations,including varying numbers of buried pipes,different areas of solar collectors,and varying volumes of water tanks.The simulations examined the coupling characteristics of these components and their influence on system performance.The results revealed that the operating parameters of the system remained consistent across the following configurations:three buried pipes,burial depth of 20 m,collector area of 6 m^(2),and water tank volume of 0.5 m^(3);four buried pipes,burial depth of 20 m,collector area of 3 m^(2),and water tank volume of 0.5 m^(3);and five buried pipes with a burial depth of 20 m.Furthermore,the heat collection capacity of the solar collectors spanning an area of 3 m^(2)was found to be equivalent to that of one buried pipe.Moreover,the findings revealed that the solar‒ground source heat pump coupling system demonstrated a lower annual cumulative energy consumption compared to the ground source heat pump system,presenting a reduction of 5.31%compared to the energy consumption of the latter.展开更多
The increased demand for personalized customization calls for new production modes to enhance collaborations among a wide range of manufacturing practitioners who unnecessarily trust each other.In this article,a block...The increased demand for personalized customization calls for new production modes to enhance collaborations among a wide range of manufacturing practitioners who unnecessarily trust each other.In this article,a blockchain-enabled manufacturing collaboration framework is proposed,with a focus on the production capacity matching problem for blockchainbased peer-to-peer(P2P)collaboration.First,a digital model of production capacity description is built for trustworthy and transparent sharing over the blockchain.Second,an optimization problem is formulated for P2P production capacity matching with objectives to maximize both social welfare and individual benefits of all participants.Third,a feasible solution based on an iterative double auction mechanism is designed to determine the optimal price and quantity for production capacity matching with a lack of personal information.It facilitates automation of the matching process while protecting users'privacy via blockchainbased smart contracts.Finally,simulation results from the Hyperledger Fabric-based prototype show that the proposed approach increases social welfare by 1.4%compared to the Bayesian game-based approach,makes all participants profitable,and achieves 90%fairness of enterprises.展开更多
The concept of matching energy was proposed by Gutman and Wagner firstly in 2012. Let G be a simple graph of order n and λ1, λ2, . . . , λn be the zeros of its matching polynomial. The matching energy of a graph G ...The concept of matching energy was proposed by Gutman and Wagner firstly in 2012. Let G be a simple graph of order n and λ1, λ2, . . . , λn be the zeros of its matching polynomial. The matching energy of a graph G is defined as ME(G) = Pni=1 |λi|. By the famous Coulson’s formula, matching energies can also be calculated by an improper integral depending on a parameter. A k-claw attaching graph Gu(k) refers to the graph obtained by attaching k pendent edges to the graph G at the vertex u, where u is called the root of Gu(k). In this paper, we use some theories of mathematical analysis to obtain a new technique to compare the matching energies of two k-claw attaching graphs Gu(k) and Hv(k) with the same order, that is, limk→∞[ME(Gu(k)) − ME(Hv(k))] = ME(G − u) − ME(H − v). By the technique, we finally determine unicyclic graphs of order n with the 9th to 13th minimal matching energies for all n ≥ 58.展开更多
A dominating induced matching(DIM)of G is an induced matching that dominates every edge of G.In this note,we completely determine the number of DIMs in the generalized Petersen graph P(n,k).We prove that if P(n,k)is a...A dominating induced matching(DIM)of G is an induced matching that dominates every edge of G.In this note,we completely determine the number of DIMs in the generalized Petersen graph P(n,k).We prove that if P(n,k)is a generalized Petersen graph with n=0(mod 5)and k=2,3(mod 5),then E(P(n,k))can be partitioned into five DIMs.Meanwhile,in the left cases k=0,1,4(mod 5),we build some counterexamples to show that there exist some P(n,k)'s which are DIM-free.展开更多
Most existing multi-pattern matching algorithms are designed for single English texts leading to issues such as missed matches and space expansion when applied to Chinese-English mixed-text environments.The Hash Trie-...Most existing multi-pattern matching algorithms are designed for single English texts leading to issues such as missed matches and space expansion when applied to Chinese-English mixed-text environments.The Hash Trie-based matching machine demonstrates strong compatibility with both Chinese and English,ensuring high accuracy in text processing and subtree positioning.In this study,a novel functional framework based on the HashTrie structure is proposed and mechanically verified using Isabelle/HOL.This framework is applied to design Functional Multi-Pattern Matching(FMPM),the first functional multi-pattern matching algorithm for Chinese-English mixed texts.FMPM constructs the HashTrie matching machine using character codes and threads the machine according to the associations between pattern strings.The experimental results show that as the stored string information increases,the proposed algorithm demonstrates more significant optimization in retrieval efficiency.FMPM simplifies the implementation of the Threaded Hash Trie(THT)for Chinese-English mixed texts,effectively reducing the uncertainties in the transition from the algorithm description to code implementation.FMPM addresses the problem of space explosion Chinese-English mixed texts and avoids issues such as bound variable iteration errors.The functional framework of the HashTrie structure serves as a reference for the formal verification of future HashTrie-based algorithms.展开更多
This study investigates how artificial intelligence(AI)algorithms enable mainstream media to achieve precise emotional matching and improve communication efficiency through reconstructed communication logic.As digital...This study investigates how artificial intelligence(AI)algorithms enable mainstream media to achieve precise emotional matching and improve communication efficiency through reconstructed communication logic.As digital intelligence technology rapidly evolves,mainstream media organizations are increasingly leveraging AI-driven empathy algorithms to enhance audience engagement and optimize content delivery.This research employs a mixed-methods approach,combining quantitative analysis of algorithmic performance metrics with qualitative examination of media communication patterns.Through systematic review of 150 academic papers and analysis of data from 12 major media platforms,this study reveals that algorithmic empathy systems can improve emotional resonance by 34.7%and increase audience engagement by 28.3%compared to traditional communication methods.The findings demonstrate that AI algorithms reconstruct media communication logic through three primary pathways:emotional pattern recognition,personalized content curation,and real-time sentiment adaptation.However,the study also identifies significant challenges including algorithmic bias,emotional authenticity concerns,and ethical implications of automated empathy.The research contributes to understanding how mainstream media can leverage AI technology to build high-quality empathetic communication while maintaining journalistic integrity and social responsibility.展开更多
The cross-modal person re-identification task aims to match visible and infrared images of the same individual.The main challenges in this field arise from significant modality differences between individuals and the ...The cross-modal person re-identification task aims to match visible and infrared images of the same individual.The main challenges in this field arise from significant modality differences between individuals and the lack of high-quality cross-modal correspondence methods.Existing approaches often attempt to establish modality correspondence by extracting shared features across different modalities.However,these methods tend to focus on local information extraction and fail to fully leverage the global identity information in the cross-modal features,resulting in limited correspondence accuracy and suboptimal matching performance.To address this issue,we propose a quadratic graph matching method designed to overcome the challenges posed by modality differences through precise cross-modal relationship alignment.This method transforms the cross-modal correspondence problem into a graph matching task and minimizes the matching cost using a center search mechanism.Building on this approach,we further design a block reasoning module to uncover latent relationships between person identities and optimize the modality correspondence results.The block strategy not only improves the efficiency of updating gallery images but also enhances matching accuracy while reducing computational load.Experimental results demonstrate that our proposed method outperforms the state-of-the-art methods on the SYSU-MM01,RegDB,and RGBNT201 datasets,achieving excellent matching accuracy and robustness,thereby validating its effectiveness in cross-modal person re-identification.展开更多
The effects of micro-ridge-furrow planting(MR)on yield and the efficiency of light,water,and thermal resource use in rapeseed were tested in a three-year field experiment comparing MR to conventional flat planting.MR ...The effects of micro-ridge-furrow planting(MR)on yield and the efficiency of light,water,and thermal resource use in rapeseed were tested in a three-year field experiment comparing MR to conventional flat planting.MR enhanced canopy heterogeneity by altering the leaf angle between plants on ridges and furrows.The heterogeneous canopy environment increased intercepted photosynthetic active radiation,alleviated canopy temperature stress,and optimized canopy humidity,leading to improvements in light-nitrogen matching and net photosynthetic rate.Consequently,dry matter and yield increased by 13.0%and 11.0%,respectively,while radiation,thermal,and precipitation utilization efficiency increased by 12.3%-16.2%.The corresponding improvements in yield and resource use efficiency were attributed to a heterogeneous canopy environment that improved microclimatic conditions.展开更多
BACKGROUND Recently,Olympus Corporation released new scopes(XZ1200/EZ1500).However,there have been few reports on this topic,although improvement in adenoma detection rate(ADR)by texture and color enhancement imaging(...BACKGROUND Recently,Olympus Corporation released new scopes(XZ1200/EZ1500).However,there have been few reports on this topic,although improvement in adenoma detection rate(ADR)by texture and color enhancement imaging(TXI)or computer-aided detection system(CAD)has been reported.AIM To investigate the effects of the scope on the detection of adenomas and sessile serrated lesions(SSLs).METHODS The subjects were patients who underwent pancolonic chromoendoscopy using the EVIS X1 video system center between May 2023 and October 2024.The patients were divided into the new(CF-XZ1200/CF-EZ1500)and 290 series(CF-HQ290Z/PCF-H290Z)groups.Propensity score matching was performed for age,sex,examination purpose,endoscopist,preparation,TXI use,and CAD use.The effects of the scope were analyzed in terms of the ADR,SSL detection rate(SDR),and mean number of adenomas per colonoscopy(APC).RESULTS Of the 7014 patients enrolled,2138 pairs were extracted by propensity score matching(mean age 55.4 years,45.5%male).The new scopes group had a significantly higher ADR than the 290 series group[51.5%vs 45.5%,odds ratio(OR)=1.27,95%CI:1.13-1.43,P<0.001].Similarly,the new scopes group had significantly higher SDR(7.8%vs 5.7%,OR=1.41,95%CI:1.11-1.80,P=0.005)and APC(0.90 vs 0.76,OR=1.11,95%CI:1.05-1.17,P<0.001)than the 290 series group.CONCLUSION In conclusion,the new scope(CF-XZ1200/CF-EZ1500)enhanced the detection of adenomas and SSLs compared to the old ones(290 series).展开更多
BACKGROUND Intellectual disability(ID),affecting 1%-3%of children globally,presents significant challenges for parents that often translate into occupational stress.While studies document elevated parenting stress lev...BACKGROUND Intellectual disability(ID),affecting 1%-3%of children globally,presents significant challenges for parents that often translate into occupational stress.While studies document elevated parenting stress levels(33.57 vs 26.46 in controls),job-related impacts remain poorly understood.This study employs propensity score matching(PSM)to rigorously analyze work stress determinants among parents of preschool-aged children with ID,controlling for socioeconomic and behavioral confounders.The research bridges a critical gap by examining how workplace demands intersect with special caregiving responsibilities,aiming to identify modifiable risk factors for targeted interventions.Findings will inform evidence-based workplace accommodations and support policies,offering novel insights into the occupational consequences of parenting a child with ID through advanced causal inference methods.This work holds important implications for hazard ratio(HR)policies and social support systems serving this vulnerable population.AIM To explore the factors affecting the job stress of parents of preschool children with mental retardation(MR),based on the PSM.METHODS One hundred and twenty-five children aged 3-6 years who were treated in our hospital from December 2022 to December 2024 were included in the questionnaire survey.Five cases were excluded due to incomplete data,and 120 cases completed the study.The questionnaire was filled out by the parents of the children,and 100 parents of normal children were selected to be included in the control group.After the baseline difference was balanced by PSM 1:1 matching,the general information,scores of parental stress in each dimension and parental stress level of the two groups were compared and analyzed.Single factor analysis was carried out on the factors affecting the parental stress of group;Pearson was used to analyze the correlation between the factors affecting parental stress in MR group.Logistic regression was used to analyze the factors affecting the job stress of parents in MR group.RESULTS After matching,there were 97 cases in both groups.The differences of parents'working status and family location in MR group were statistically significant,P<0.05.Parents in MR group were significantly higher than those in control group in every dimension and total score,of which 75.22%were at a high level,P<0.05.Univariate analysis shows that the older the parents are,the more unstable their work status is,the lower their education level is,the less their family income is,their location is in the countryside and the children have a genetic history,the higher their parental stress score is.Pearson correlation analysis showed that the total score of parental stress was related to supporting friends(r=-0.354),seeking social support,maintaining self-esteem and psychological stability(r=-0.146),coping style frequency(r=-0.476)and role size(r=-0.063).P<0.05.Using the binary Logistic regression model,it was found that whether the child had a genetic history(HR=1.667)was a risk factor affecting the parents'job stress of MR children,and friends'support(HR=0.539),seeking social support(HR=0.478),maintaining self-esteem and psychological stability(HR=0.625),and the frequency and role of coping styles(HR=0.794)were all its protective factors,P<0.05.CONCLUSION Parents'parental stress of most preschool children with MR is at a high level,in which children's genetic history is its risk factor,and friends'support,seeking social support,maintaining self-esteem and psychological stability,as well as the frequency and role of coping styles are its protective factors,which provides new intervention programs and measures to alleviate parents'parental stress of MR children.展开更多
BACKGROUND Endoscopic full-thickness resection(EFTR)is increasingly used for treating gastrointestinal stromal tumors(GISTs)in the stomach.AIM To compare the efficacy,tolerability,and clinical outcomes of EFTR vs surg...BACKGROUND Endoscopic full-thickness resection(EFTR)is increasingly used for treating gastrointestinal stromal tumors(GISTs)in the stomach.AIM To compare the efficacy,tolerability,and clinical outcomes of EFTR vs surgical resection(SR)for gastric GISTs.METHODS We collected clinical data from patients diagnosed with GISTs who underwent either EFTR or SR at our hospital from October 2011 to July 2024.Patients were matched in a 1:1 ratio based on baseline characteristics and tumor clinical-pathological features using propensity score matching.We analyzed perioperative outcomes and follow-up data.The primary outcome measure was progressionfree survival(PFS).RESULTS Out of 912 patients,573 met the inclusion criteria.After matching,each group included 95 patients.The EFTR group demonstrated statistically significant advantages over the SR group in average operative time(P<0.001),length of hospital stay(P<0.001),time to resume liquid diet(P<0.001),incidence of adverse events(P=0.031),and hospitalization costs(P<0.001).The en bloc resection rate was significantly different,with SR group at 100%and EFTR group at 93.7%(P=0.038).The median follow-up was 2451.50 days.Recurrence occurred in 3 patients in the EFTR group and 4 patients in the SR group,with no statistically significant difference(P=1.000).Factors associated with PFS included age,tumor size,high-risk category in the modified National Institutes of Health(NIH)risk score,and resection status.Resection status was identified as an independent prognostic factor for PFS(P=0.0173,hazard ratios=0.0179,95%CI:0.000655-0.491).Notably,there was no statistically significant difference in PFS between the two groups.CONCLUSION This study is a non-inferiority design.The EFTR group significantly outperformed the SR group in terms of operative time,length of hospital stay,time to resume a liquid diet,incidence of adverse events,and hospitalization costs,demonstrating its higher economic efficiency and better tolerability.Additionally,although the en bloc resection rate was lower in the EFTR group compared to the SR group,there were no significant differences in tumor recurrence rates and progression-free survival between the two groups.This study found no statistical difference in the primary endpoint of postoperative recurrence rates between the two groups.However,due to sample size limitations,this result requires further validation in larger-scale studies.The current results should be viewed as exploratory evidence.展开更多
The impact of location services on people’s lives has grown significantly in the era of widespread smart device usage.Due to global navigation satellite system(GNSS)signal rejection,weak signal strength in indoor env...The impact of location services on people’s lives has grown significantly in the era of widespread smart device usage.Due to global navigation satellite system(GNSS)signal rejection,weak signal strength in indoor environments and radio signal interference caused by multiwall environments,which collectively lead to significant positioning errors,vision-based positioning has emerged as a crucial method in indoor positioning research.This paper introduces a scale hierarchical matching model to tackle challenges associated with large visual databases and high scene similarity,both of which will compromise matching accuracy and lead to prolonged positioning delays.The proposed model establishes an image feature database using GIST features and speeded up robust feature(SURF)in the offline stage.In the online stage,a positioning navigating algorithm is constructed based on Dijkstra’s path planning.Additionally,a corresponding Android application has been developed to facilitate visual positioning and navigation in indoor environments.Experimental results obtained in real indoor environments demonstrate that the proposed method significantly enhances positioning accuracy compared with similar algorithms,while effectively reducing time overhead.This improvement caters to the requirements for indoor positioning and navigation,thereby meeting user needs.展开更多
Objectives This study aimed to analyze the prevalence of long-term central line-associated bloodstream infections(CLABSI)among hospitalized adults with cancer in Italy and compare the characteristics of patients who r...Objectives This study aimed to analyze the prevalence of long-term central line-associated bloodstream infections(CLABSI)among hospitalized adults with cancer in Italy and compare the characteristics of patients who required long-term central venous access device(LCVAD)substitution due to prior CLABSI with those who had never experienced CLABSI.Methods The study was conducted in hospitals across northern and central Italy using a multicenter,observational,cross-sectional design from March to September 2021.A total of 174 adults with cancer were included.Data were collected through electronic case report forms,including demographic,clinical,treatment-related,and catheter-related variables.Propensity score matching(PSM)was used to compare the characteristics of patients who underwent LCVAD substitution due to previous CLABSI with those who never experienced CLABSI.Multiple correspondence analysis(MCA)was conducted to explore the patterns within matched subgroups.Results The prevalence of CLABSI was 3%,and 5.2%of patients required LCVAD substitution due to prior CLABSI.After applying PSM,the groups were successfully balanced for sex,age,presence of metastases,comorbidities,BMI,received treatments,corticosteroid therapy,ongoing antibiotics,hormone therapy,type of LCVAD,lumens,and utilization frequency.Hematologic cancer was more frequent in the CLABSI group(44.4%)compared to the non-infective group(0),with a statistically significant difference(P=0.045).MCA revealed potential patterns among matched subgroups but did not identify statistically significant associations:patients with previous LCVAD substitution were more frequently associated with a history of prior infections,ongoing antibiotic therapy,and unspecified primary lesion locations;conversely,patients who never experienced CLABSI tended to cluster around characteristics such as hormone therapy and corticosteroid therapy.Conclusions These findings emphasize the importance of continuous monitoring,individualized infection prevention strategies in oncology nursing practice.Future research with larger datasets is needed to validate these findings and develop tailored interventions to reduce CLABSI risks.展开更多
To enhance network security,this study employs a deep graph matching model for vulnerability similarity detection.The model utilizes a Word Embedding layer to vectorize data words,an Image Embedding layer to vectorize...To enhance network security,this study employs a deep graph matching model for vulnerability similarity detection.The model utilizes a Word Embedding layer to vectorize data words,an Image Embedding layer to vectorize data graphs,and an LSTM layer to extract the associations between word and graph vectors.A Dropout layer is applied to randomly deactivate neurons in the LSTM layer,while a Softmax layer maps the LSTM analysis results.Finally,a fully connected layer outputs the detection results with a dimension of 1.Experimental results demonstrate that the AUC of the deep graph matching vulnerability similarity detection model is 0.9721,indicating good stability.The similarity scores for vulnerabilities such as memory leaks,buffer overflows,and targeted attacks are close to 1,showing significant similarity.In contrast,the similarity scores for vulnerabilities like out-of-bounds memory access and logical design flaws are less than 0.4,indicating good similarity detection performance.The model’s evaluation metrics are all above 97%,with high detection accuracy,which is beneficial for improving network security.展开更多
The composites prepared by combining lightweight carbon materials with magnetic metals have demonstrated excellent dielectric and magnetic properties,indicating potential applications in the field of electromagnetic w...The composites prepared by combining lightweight carbon materials with magnetic metals have demonstrated excellent dielectric and magnetic properties,indicating potential applications in the field of electromagnetic wave(EMW)absorption.However,the rational microstructure design and component optimization of these composites in regulating their magnetic-dielectric balance to achieve high-performance EMW absorption remains challenging.Herein,hierarchical yolk-shell Fe@SiO_(2)@NC composites with dual impedance matching layers and dual built-in electric fields were prepared by self-template aggregation and in situ reduction strategies.The introduction of a SiO_(2)wave-transparent layer into a conventional dielectric-magnetic system has resulted in the successful realization of nanoscale precise impedance matching regulation in absorbers,thereby enabling effective ultra-wideband EMW absorption.The dual impedance matching layers of the internal void layer and the SiO_(2)wave-transparent layer facilitate multiple scattering and reflection of EMWs within the absorbers,and the dual built-in electric fields of Fe/SiO_(2)and SiO_(2)/NC can effectively enhance interfacial polarization effect to attenuate EMWs.The predominantly optimized Fe@SiO_(2)@NC-2 exhibits an ultra-wide effective absorption bandwidth(EAB)of 7.10 GHz and an impressive minimum reflection loss(RL_(min))of−64.83 dB,indicating that optimizing the impedance matching via quantitative design can maximize the EMW absorption performance.This work provides a straightforward yet effective approach for constructing multi-component materials with hierarchical yolk-shell structure,which offers valuable insight into the microstructure design and component optimization of innovative EMW absorption materials.展开更多
After the design of aerospace products is completed,a manufacturability assessment needs to be conducted based on 3D model's features in terms of modeling quality and process design,otherwise the cost of design ch...After the design of aerospace products is completed,a manufacturability assessment needs to be conducted based on 3D model's features in terms of modeling quality and process design,otherwise the cost of design changes will increase.Due to the poor structure and low reusability of product manufacturing feature information and assessment knowledge in the current aerospace product manufacturability assessment process,it is difficult to realize automated manufacturability assessment.To address these issues,a domain ontology model is established for aerospace product manufacturability assessment in this paper.On this basis,a structured representation method of manufacturability assessment knowledge and a knowledge graph data layer construction method are proposed.Based on the semantic information and association information expressed by the knowledge graph,a rule matching method based on subgraph matching is proposed to improve the precision and recall.Finally,applications and experiments based on the software platform verify the effectiveness of the proposed knowledge graph construction and rule matching method.展开更多
Under the“dual carbon”goal,local governments in China have strategically focused on enhancing capital utilization efficiency and enforcing environmental regulations to improve carbon emission performance.This dual a...Under the“dual carbon”goal,local governments in China have strategically focused on enhancing capital utilization efficiency and enforcing environmental regulations to improve carbon emission performance.This dual approach targets the intertwined challenges of economic development and environmental protection.Utilizing data from 266 prefecture-level cities in China from 2007 to 2019,this study systematically investigates the effects of capital matching and environmental regulation on carbon emission performance through the spatial Durbin model and the instrumental variable method.The results indicate that both capital matching and environmental regulation significantly enhance carbon emission performance.Capital matching demonstrates positive spatial spillover effects,whereas environmental regulation exhibits negative spatial spillover effects.Furthermore,there are synergistic effects between capital matching and environmental regulation that jointly enhance carbon emission performance.To address potential biases caused by endogenous environmental regulation,the study uses the proportion of environment-related words in provincial government work reports as an instrumental variable for environmental regulation.Additionally,to capture the heterogeneity in the environmental governance willingness and intensity of prefecture-level municipal governments,the study constructs heterogeneous instrumental variables.These variables are derived by multiplying the proportion of a prefecture-level city’s total industrial output value to the province’s total industrial output value with the proportion of environment-related words in the provincial government work reports.Analyses based on these instrumental variables reveal that endogenous issues in environmental regulation lead to an overestimation of its positive impact on carbon emission performance.展开更多
Accurate and robust navigation in complex surgical environments is crucial for bronchoscopic surgeries.This study purposes a bronchoscopic lumen feature matching network(BLFM-Net)based on deep learning to address the ...Accurate and robust navigation in complex surgical environments is crucial for bronchoscopic surgeries.This study purposes a bronchoscopic lumen feature matching network(BLFM-Net)based on deep learning to address the challenges of image noise,anatomical complexity,and the stringent real-time requirements.The BLFM-Net enhances bronchoscopic image processing by integrating several functional modules.The FFA-Net preprocessing module mitigates image fogging and improves visual clarity for subsequent processing.The feature extraction module derives multi-dimensional features,such as centroids,area,and shape descriptors,from dehazed images.The Faster RCNN Object detection module detects bronchial regions of interest and generates bounding boxes to localize key areas.The feature matching module accelerates the process by combining detection boxes,extracted features,and a KD-Tree(K-Dimensional Tree)-based algorithm,ensuring efficient and accurate regional feature associations.The BLFM-Net was evaluated on 5212 bronchoscopic images,demonstrating superior performance compared to traditional and other deep learning-based image matching methods.It achieved real-time matching with an average frame time of 6 ms,with a matching accuracy of over 96%.The method remained robust under challenging conditions including frame dropping(0,5,10,20),shadowed regions,and variable lighting,maintaining accuracy of above 94%even with the frame dropping of 20.This study presents BLFM-Net,a deep learning-based matching network designed to enhance and match bronchial features in bronchoscopic images.The BLFM-Net shows improved accuracy,real-time performance,and reliability,making a valuable tool for bronchoscopic surgeries.展开更多
BACKGROUND:Pulse indicated continuous cardiac output(PiCCO)has largely replaced Swan-Ganz catheterization in shock patients.However,whether PiCCO monitoring can improve outcomes of shock patients,such as mortality,len...BACKGROUND:Pulse indicated continuous cardiac output(PiCCO)has largely replaced Swan-Ganz catheterization in shock patients.However,whether PiCCO monitoring can improve outcomes of shock patients,such as mortality,length of hospital stay,duration of mechanical ventilation,or laboratory parameters,remains unknown.METHODS:This retrospective cohort study included patients with shock in the intensive care unit(ICU)from January 2013 to January 2020.Patients were divided into PiCCO group and non-PiCCO group based on treatment with PiCCO monitoring or not.Demographic characteristics,Acute Physiology and Chronic Health Evaluation(APACHE)II scores,quick Sequential Organ Failure Assessment(qSOFA)scores,14-day mortality,and N-terminal pro-B-type natriuretic peptide(NT-proBNP)levels at 0,1,3 and 7 days after onset of shock,duration of mechanical ventilation,length of hospital stay and hospitalization costs were compiled and analyzed using propensity score matching(PSM).RESULTS:Real-world analysis of 1,583 ICU patients suff ering shock after propensity score matching revealed that 14-day mortality did not differ between PiCCO and non-PiCCO groups(36.2%vs.32.6%,P=0.343).Duration of mechanical ventilation,hospital stay,and hospitalization costs were also similar between the two groups(P>0.05).No diff erences in changes of NT-proBNP levels on days 0,1,3,and 7 as compared to baseline were noted between the two groups(P>0.05).CONCLUSIONS:The results of our real-world indicate that PiCCO monitoring may not shorten the duration of mechanical ventilation,length of hospital stay,or reduce hospitalization costs,nor will it bring survival benefi ts to ICU patients suff ering shock.展开更多
文摘High-resolution sub-meter satellite data play an increasingly crucial role in the 3D real-scene China construction initiative.Current research on 3D reconstruction using high-resolution satellite data primarily focuses on two approaches:Multi-stereo fusion and multi-view matching.While algorithms based on these two methodologies for multi-view image 3D reconstruction have reached relative maturity,no systematic comparison has been conducted specifically on satellite data to evaluate the relative merits of multi-stereo fusion versus multi-view matching methods.This paper conducts a comparative analysis of the practical accuracy of both approaches using high-resolution satellite datasets from diverse geographical regions.To ensure fairness in accuracy comparison,both methodologies employ non-local dense matching for cost optimization.Results demonstrate that the multi-stereo fusion method outperforms multi-view matching in all evaluation metrics,exhibiting approximately 1.2%higher average matching accuracy and 10.7%superior elevation precision in the experimental datasets.Therefore,for 3D modeling applications using satellite data,we recommend adopting the multi-stereo fusion approach for digital surface model(DSM)product generation.
基金supported by 2024 Central Guidance Local Science and Technology Development Fund Project"Study on the mechanism and evaluation method of thermal pollution in water bodies,as well as research on thermal carrying capacity".(Grant 246Z4506G)Key Research and Development Project in Hebei Province:"Key Technologies and Equipment Research and Demonstration of Multiple Energy Complementary(Electricity,Heat,Cold System)for Solar Energy,Geothermal Energy,Phase Change Energy"(Grant 236Z4310G)the Hebei Academy of Sciences Key Research and Development Program"Research on Heat Transfer Mechanisms and Efficient Applications of Intermediate and Deep Geothermal Energy"(22702)。
文摘Ground source heat pump systems demonstrate significant potential for northern rural heating applications;however,the effectiveness of these systems is often limited by challenging geological conditions.For instance,in certain regions,the installation of buried pipes for heat exchangers may be complicated,and these pipes may not always serve as efficient low-temperature heat sources for the heat pumps of the system.To address this issue,the current study explored the use of solar-energy-collecting equipment to supplement buried pipes.In this design,both solar energy and geothermal energy provide low-temperature heat to the heat pump.First,a simulation model of a solar‒ground source heat pump coupling system was established using TRNSYS.The accuracy of this model was validated through experiments and simulations on various system configurations,including varying numbers of buried pipes,different areas of solar collectors,and varying volumes of water tanks.The simulations examined the coupling characteristics of these components and their influence on system performance.The results revealed that the operating parameters of the system remained consistent across the following configurations:three buried pipes,burial depth of 20 m,collector area of 6 m^(2),and water tank volume of 0.5 m^(3);four buried pipes,burial depth of 20 m,collector area of 3 m^(2),and water tank volume of 0.5 m^(3);and five buried pipes with a burial depth of 20 m.Furthermore,the heat collection capacity of the solar collectors spanning an area of 3 m^(2)was found to be equivalent to that of one buried pipe.Moreover,the findings revealed that the solar‒ground source heat pump coupling system demonstrated a lower annual cumulative energy consumption compared to the ground source heat pump system,presenting a reduction of 5.31%compared to the energy consumption of the latter.
基金supported in part by the National Natural Science Foundation of China(62273310)the Natural Science Foundation of Zhejiang Province of China(LY22F030006,LZ24F030009)
文摘The increased demand for personalized customization calls for new production modes to enhance collaborations among a wide range of manufacturing practitioners who unnecessarily trust each other.In this article,a blockchain-enabled manufacturing collaboration framework is proposed,with a focus on the production capacity matching problem for blockchainbased peer-to-peer(P2P)collaboration.First,a digital model of production capacity description is built for trustworthy and transparent sharing over the blockchain.Second,an optimization problem is formulated for P2P production capacity matching with objectives to maximize both social welfare and individual benefits of all participants.Third,a feasible solution based on an iterative double auction mechanism is designed to determine the optimal price and quantity for production capacity matching with a lack of personal information.It facilitates automation of the matching process while protecting users'privacy via blockchainbased smart contracts.Finally,simulation results from the Hyperledger Fabric-based prototype show that the proposed approach increases social welfare by 1.4%compared to the Bayesian game-based approach,makes all participants profitable,and achieves 90%fairness of enterprises.
基金Supported by the National Natural Science Foundation of China(Nos.12271439,11871398)the National College Students Innovation and Entrepreneurship Training Program(No.201910699173)。
文摘The concept of matching energy was proposed by Gutman and Wagner firstly in 2012. Let G be a simple graph of order n and λ1, λ2, . . . , λn be the zeros of its matching polynomial. The matching energy of a graph G is defined as ME(G) = Pni=1 |λi|. By the famous Coulson’s formula, matching energies can also be calculated by an improper integral depending on a parameter. A k-claw attaching graph Gu(k) refers to the graph obtained by attaching k pendent edges to the graph G at the vertex u, where u is called the root of Gu(k). In this paper, we use some theories of mathematical analysis to obtain a new technique to compare the matching energies of two k-claw attaching graphs Gu(k) and Hv(k) with the same order, that is, limk→∞[ME(Gu(k)) − ME(Hv(k))] = ME(G − u) − ME(H − v). By the technique, we finally determine unicyclic graphs of order n with the 9th to 13th minimal matching energies for all n ≥ 58.
基金Ming Chen was supported by National Key Research and Development Program of China(No.2024YFA1013900)。
文摘A dominating induced matching(DIM)of G is an induced matching that dominates every edge of G.In this note,we completely determine the number of DIMs in the generalized Petersen graph P(n,k).We prove that if P(n,k)is a generalized Petersen graph with n=0(mod 5)and k=2,3(mod 5),then E(P(n,k))can be partitioned into five DIMs.Meanwhile,in the left cases k=0,1,4(mod 5),we build some counterexamples to show that there exist some P(n,k)'s which are DIM-free.
基金Supported by the National Natural Science Foundation of China(62462036,62462037)Jiangxi Provincial Natural Science Foundation(20242BAB26017,20232BAB202010)+1 种基金Cultivation Project for Academic and Technical Leader in Major Disciplines in Jiangxi Province(20232BCJ22013)the Jiangxi Province Graduate Innovation Found Project(YC2024-S214)。
文摘Most existing multi-pattern matching algorithms are designed for single English texts leading to issues such as missed matches and space expansion when applied to Chinese-English mixed-text environments.The Hash Trie-based matching machine demonstrates strong compatibility with both Chinese and English,ensuring high accuracy in text processing and subtree positioning.In this study,a novel functional framework based on the HashTrie structure is proposed and mechanically verified using Isabelle/HOL.This framework is applied to design Functional Multi-Pattern Matching(FMPM),the first functional multi-pattern matching algorithm for Chinese-English mixed texts.FMPM constructs the HashTrie matching machine using character codes and threads the machine according to the associations between pattern strings.The experimental results show that as the stored string information increases,the proposed algorithm demonstrates more significant optimization in retrieval efficiency.FMPM simplifies the implementation of the Threaded Hash Trie(THT)for Chinese-English mixed texts,effectively reducing the uncertainties in the transition from the algorithm description to code implementation.FMPM addresses the problem of space explosion Chinese-English mixed texts and avoids issues such as bound variable iteration errors.The functional framework of the HashTrie structure serves as a reference for the formal verification of future HashTrie-based algorithms.
文摘This study investigates how artificial intelligence(AI)algorithms enable mainstream media to achieve precise emotional matching and improve communication efficiency through reconstructed communication logic.As digital intelligence technology rapidly evolves,mainstream media organizations are increasingly leveraging AI-driven empathy algorithms to enhance audience engagement and optimize content delivery.This research employs a mixed-methods approach,combining quantitative analysis of algorithmic performance metrics with qualitative examination of media communication patterns.Through systematic review of 150 academic papers and analysis of data from 12 major media platforms,this study reveals that algorithmic empathy systems can improve emotional resonance by 34.7%and increase audience engagement by 28.3%compared to traditional communication methods.The findings demonstrate that AI algorithms reconstruct media communication logic through three primary pathways:emotional pattern recognition,personalized content curation,and real-time sentiment adaptation.However,the study also identifies significant challenges including algorithmic bias,emotional authenticity concerns,and ethical implications of automated empathy.The research contributes to understanding how mainstream media can leverage AI technology to build high-quality empathetic communication while maintaining journalistic integrity and social responsibility.
文摘The cross-modal person re-identification task aims to match visible and infrared images of the same individual.The main challenges in this field arise from significant modality differences between individuals and the lack of high-quality cross-modal correspondence methods.Existing approaches often attempt to establish modality correspondence by extracting shared features across different modalities.However,these methods tend to focus on local information extraction and fail to fully leverage the global identity information in the cross-modal features,resulting in limited correspondence accuracy and suboptimal matching performance.To address this issue,we propose a quadratic graph matching method designed to overcome the challenges posed by modality differences through precise cross-modal relationship alignment.This method transforms the cross-modal correspondence problem into a graph matching task and minimizes the matching cost using a center search mechanism.Building on this approach,we further design a block reasoning module to uncover latent relationships between person identities and optimize the modality correspondence results.The block strategy not only improves the efficiency of updating gallery images but also enhances matching accuracy while reducing computational load.Experimental results demonstrate that our proposed method outperforms the state-of-the-art methods on the SYSU-MM01,RegDB,and RGBNT201 datasets,achieving excellent matching accuracy and robustness,thereby validating its effectiveness in cross-modal person re-identification.
基金supported by the National Key Research and Development Program of China (2021YFD1901200)the Key Research and Development Program of Hubei Province of China (2023BBB028)+1 种基金the Earmarked Fund of Hubei province of Chinathe Fundamental Research Funds for the Central Universities (2662024ZKQD005)
文摘The effects of micro-ridge-furrow planting(MR)on yield and the efficiency of light,water,and thermal resource use in rapeseed were tested in a three-year field experiment comparing MR to conventional flat planting.MR enhanced canopy heterogeneity by altering the leaf angle between plants on ridges and furrows.The heterogeneous canopy environment increased intercepted photosynthetic active radiation,alleviated canopy temperature stress,and optimized canopy humidity,leading to improvements in light-nitrogen matching and net photosynthetic rate.Consequently,dry matter and yield increased by 13.0%and 11.0%,respectively,while radiation,thermal,and precipitation utilization efficiency increased by 12.3%-16.2%.The corresponding improvements in yield and resource use efficiency were attributed to a heterogeneous canopy environment that improved microclimatic conditions.
基金Ethics Committee of the Certified Institutional Review Board of the Yoyogi Mental Clinic(No.RKK227).
文摘BACKGROUND Recently,Olympus Corporation released new scopes(XZ1200/EZ1500).However,there have been few reports on this topic,although improvement in adenoma detection rate(ADR)by texture and color enhancement imaging(TXI)or computer-aided detection system(CAD)has been reported.AIM To investigate the effects of the scope on the detection of adenomas and sessile serrated lesions(SSLs).METHODS The subjects were patients who underwent pancolonic chromoendoscopy using the EVIS X1 video system center between May 2023 and October 2024.The patients were divided into the new(CF-XZ1200/CF-EZ1500)and 290 series(CF-HQ290Z/PCF-H290Z)groups.Propensity score matching was performed for age,sex,examination purpose,endoscopist,preparation,TXI use,and CAD use.The effects of the scope were analyzed in terms of the ADR,SSL detection rate(SDR),and mean number of adenomas per colonoscopy(APC).RESULTS Of the 7014 patients enrolled,2138 pairs were extracted by propensity score matching(mean age 55.4 years,45.5%male).The new scopes group had a significantly higher ADR than the 290 series group[51.5%vs 45.5%,odds ratio(OR)=1.27,95%CI:1.13-1.43,P<0.001].Similarly,the new scopes group had significantly higher SDR(7.8%vs 5.7%,OR=1.41,95%CI:1.11-1.80,P=0.005)and APC(0.90 vs 0.76,OR=1.11,95%CI:1.05-1.17,P<0.001)than the 290 series group.CONCLUSION In conclusion,the new scope(CF-XZ1200/CF-EZ1500)enhanced the detection of adenomas and SSLs compared to the old ones(290 series).
基金Supported by the Self-Funded Plan for Scientific and Technological Research and Development of Shijiazhuang City in 2022,No.221460383.
文摘BACKGROUND Intellectual disability(ID),affecting 1%-3%of children globally,presents significant challenges for parents that often translate into occupational stress.While studies document elevated parenting stress levels(33.57 vs 26.46 in controls),job-related impacts remain poorly understood.This study employs propensity score matching(PSM)to rigorously analyze work stress determinants among parents of preschool-aged children with ID,controlling for socioeconomic and behavioral confounders.The research bridges a critical gap by examining how workplace demands intersect with special caregiving responsibilities,aiming to identify modifiable risk factors for targeted interventions.Findings will inform evidence-based workplace accommodations and support policies,offering novel insights into the occupational consequences of parenting a child with ID through advanced causal inference methods.This work holds important implications for hazard ratio(HR)policies and social support systems serving this vulnerable population.AIM To explore the factors affecting the job stress of parents of preschool children with mental retardation(MR),based on the PSM.METHODS One hundred and twenty-five children aged 3-6 years who were treated in our hospital from December 2022 to December 2024 were included in the questionnaire survey.Five cases were excluded due to incomplete data,and 120 cases completed the study.The questionnaire was filled out by the parents of the children,and 100 parents of normal children were selected to be included in the control group.After the baseline difference was balanced by PSM 1:1 matching,the general information,scores of parental stress in each dimension and parental stress level of the two groups were compared and analyzed.Single factor analysis was carried out on the factors affecting the parental stress of group;Pearson was used to analyze the correlation between the factors affecting parental stress in MR group.Logistic regression was used to analyze the factors affecting the job stress of parents in MR group.RESULTS After matching,there were 97 cases in both groups.The differences of parents'working status and family location in MR group were statistically significant,P<0.05.Parents in MR group were significantly higher than those in control group in every dimension and total score,of which 75.22%were at a high level,P<0.05.Univariate analysis shows that the older the parents are,the more unstable their work status is,the lower their education level is,the less their family income is,their location is in the countryside and the children have a genetic history,the higher their parental stress score is.Pearson correlation analysis showed that the total score of parental stress was related to supporting friends(r=-0.354),seeking social support,maintaining self-esteem and psychological stability(r=-0.146),coping style frequency(r=-0.476)and role size(r=-0.063).P<0.05.Using the binary Logistic regression model,it was found that whether the child had a genetic history(HR=1.667)was a risk factor affecting the parents'job stress of MR children,and friends'support(HR=0.539),seeking social support(HR=0.478),maintaining self-esteem and psychological stability(HR=0.625),and the frequency and role of coping styles(HR=0.794)were all its protective factors,P<0.05.CONCLUSION Parents'parental stress of most preschool children with MR is at a high level,in which children's genetic history is its risk factor,and friends'support,seeking social support,maintaining self-esteem and psychological stability,as well as the frequency and role of coping styles are its protective factors,which provides new intervention programs and measures to alleviate parents'parental stress of MR children.
文摘BACKGROUND Endoscopic full-thickness resection(EFTR)is increasingly used for treating gastrointestinal stromal tumors(GISTs)in the stomach.AIM To compare the efficacy,tolerability,and clinical outcomes of EFTR vs surgical resection(SR)for gastric GISTs.METHODS We collected clinical data from patients diagnosed with GISTs who underwent either EFTR or SR at our hospital from October 2011 to July 2024.Patients were matched in a 1:1 ratio based on baseline characteristics and tumor clinical-pathological features using propensity score matching.We analyzed perioperative outcomes and follow-up data.The primary outcome measure was progressionfree survival(PFS).RESULTS Out of 912 patients,573 met the inclusion criteria.After matching,each group included 95 patients.The EFTR group demonstrated statistically significant advantages over the SR group in average operative time(P<0.001),length of hospital stay(P<0.001),time to resume liquid diet(P<0.001),incidence of adverse events(P=0.031),and hospitalization costs(P<0.001).The en bloc resection rate was significantly different,with SR group at 100%and EFTR group at 93.7%(P=0.038).The median follow-up was 2451.50 days.Recurrence occurred in 3 patients in the EFTR group and 4 patients in the SR group,with no statistically significant difference(P=1.000).Factors associated with PFS included age,tumor size,high-risk category in the modified National Institutes of Health(NIH)risk score,and resection status.Resection status was identified as an independent prognostic factor for PFS(P=0.0173,hazard ratios=0.0179,95%CI:0.000655-0.491).Notably,there was no statistically significant difference in PFS between the two groups.CONCLUSION This study is a non-inferiority design.The EFTR group significantly outperformed the SR group in terms of operative time,length of hospital stay,time to resume a liquid diet,incidence of adverse events,and hospitalization costs,demonstrating its higher economic efficiency and better tolerability.Additionally,although the en bloc resection rate was lower in the EFTR group compared to the SR group,there were no significant differences in tumor recurrence rates and progression-free survival between the two groups.This study found no statistical difference in the primary endpoint of postoperative recurrence rates between the two groups.However,due to sample size limitations,this result requires further validation in larger-scale studies.The current results should be viewed as exploratory evidence.
基金Supported by the National Natural Science Foundation of China(No.61971162,61771186)the Natural Science Foundation of Heilongjiang Province(No.PL2024F025)+1 种基金the Open Research Fund of National Mobile Communications Research Laboratory in Southeast University(No.2023D07)the Fundamental Scientific Research Funds of Heilongjiang Province(No.2022-KYYWF-1050).
文摘The impact of location services on people’s lives has grown significantly in the era of widespread smart device usage.Due to global navigation satellite system(GNSS)signal rejection,weak signal strength in indoor environments and radio signal interference caused by multiwall environments,which collectively lead to significant positioning errors,vision-based positioning has emerged as a crucial method in indoor positioning research.This paper introduces a scale hierarchical matching model to tackle challenges associated with large visual databases and high scene similarity,both of which will compromise matching accuracy and lead to prolonged positioning delays.The proposed model establishes an image feature database using GIST features and speeded up robust feature(SURF)in the offline stage.In the online stage,a positioning navigating algorithm is constructed based on Dijkstra’s path planning.Additionally,a corresponding Android application has been developed to facilitate visual positioning and navigation in indoor environments.Experimental results obtained in real indoor environments demonstrate that the proposed method significantly enhances positioning accuracy compared with similar algorithms,while effectively reducing time overhead.This improvement caters to the requirements for indoor positioning and navigation,thereby meeting user needs.
基金part of a project that has received funding from the 5x1000 Humanitas funds。
文摘Objectives This study aimed to analyze the prevalence of long-term central line-associated bloodstream infections(CLABSI)among hospitalized adults with cancer in Italy and compare the characteristics of patients who required long-term central venous access device(LCVAD)substitution due to prior CLABSI with those who had never experienced CLABSI.Methods The study was conducted in hospitals across northern and central Italy using a multicenter,observational,cross-sectional design from March to September 2021.A total of 174 adults with cancer were included.Data were collected through electronic case report forms,including demographic,clinical,treatment-related,and catheter-related variables.Propensity score matching(PSM)was used to compare the characteristics of patients who underwent LCVAD substitution due to previous CLABSI with those who never experienced CLABSI.Multiple correspondence analysis(MCA)was conducted to explore the patterns within matched subgroups.Results The prevalence of CLABSI was 3%,and 5.2%of patients required LCVAD substitution due to prior CLABSI.After applying PSM,the groups were successfully balanced for sex,age,presence of metastases,comorbidities,BMI,received treatments,corticosteroid therapy,ongoing antibiotics,hormone therapy,type of LCVAD,lumens,and utilization frequency.Hematologic cancer was more frequent in the CLABSI group(44.4%)compared to the non-infective group(0),with a statistically significant difference(P=0.045).MCA revealed potential patterns among matched subgroups but did not identify statistically significant associations:patients with previous LCVAD substitution were more frequently associated with a history of prior infections,ongoing antibiotic therapy,and unspecified primary lesion locations;conversely,patients who never experienced CLABSI tended to cluster around characteristics such as hormone therapy and corticosteroid therapy.Conclusions These findings emphasize the importance of continuous monitoring,individualized infection prevention strategies in oncology nursing practice.Future research with larger datasets is needed to validate these findings and develop tailored interventions to reduce CLABSI risks.
基金Special Project Funded by Tsinghua University Press:“Engineering Drawing and CAD”Course Construction and Textbook Development。
文摘To enhance network security,this study employs a deep graph matching model for vulnerability similarity detection.The model utilizes a Word Embedding layer to vectorize data words,an Image Embedding layer to vectorize data graphs,and an LSTM layer to extract the associations between word and graph vectors.A Dropout layer is applied to randomly deactivate neurons in the LSTM layer,while a Softmax layer maps the LSTM analysis results.Finally,a fully connected layer outputs the detection results with a dimension of 1.Experimental results demonstrate that the AUC of the deep graph matching vulnerability similarity detection model is 0.9721,indicating good stability.The similarity scores for vulnerabilities such as memory leaks,buffer overflows,and targeted attacks are close to 1,showing significant similarity.In contrast,the similarity scores for vulnerabilities like out-of-bounds memory access and logical design flaws are less than 0.4,indicating good similarity detection performance.The model’s evaluation metrics are all above 97%,with high detection accuracy,which is beneficial for improving network security.
基金financially supported by the National Natural Science Foundation of China(Nos.52172222 and 51972226)the National Natural Science Foundation of Tianjin City(No.20JCZDJC00570).
文摘The composites prepared by combining lightweight carbon materials with magnetic metals have demonstrated excellent dielectric and magnetic properties,indicating potential applications in the field of electromagnetic wave(EMW)absorption.However,the rational microstructure design and component optimization of these composites in regulating their magnetic-dielectric balance to achieve high-performance EMW absorption remains challenging.Herein,hierarchical yolk-shell Fe@SiO_(2)@NC composites with dual impedance matching layers and dual built-in electric fields were prepared by self-template aggregation and in situ reduction strategies.The introduction of a SiO_(2)wave-transparent layer into a conventional dielectric-magnetic system has resulted in the successful realization of nanoscale precise impedance matching regulation in absorbers,thereby enabling effective ultra-wideband EMW absorption.The dual impedance matching layers of the internal void layer and the SiO_(2)wave-transparent layer facilitate multiple scattering and reflection of EMWs within the absorbers,and the dual built-in electric fields of Fe/SiO_(2)and SiO_(2)/NC can effectively enhance interfacial polarization effect to attenuate EMWs.The predominantly optimized Fe@SiO_(2)@NC-2 exhibits an ultra-wide effective absorption bandwidth(EAB)of 7.10 GHz and an impressive minimum reflection loss(RL_(min))of−64.83 dB,indicating that optimizing the impedance matching via quantitative design can maximize the EMW absorption performance.This work provides a straightforward yet effective approach for constructing multi-component materials with hierarchical yolk-shell structure,which offers valuable insight into the microstructure design and component optimization of innovative EMW absorption materials.
基金Sponsored by the National Key Research and Development Program from Ministry of Science and Technology of the People's Republic of China (Grant No.2020YFB1711403)。
文摘After the design of aerospace products is completed,a manufacturability assessment needs to be conducted based on 3D model's features in terms of modeling quality and process design,otherwise the cost of design changes will increase.Due to the poor structure and low reusability of product manufacturing feature information and assessment knowledge in the current aerospace product manufacturability assessment process,it is difficult to realize automated manufacturability assessment.To address these issues,a domain ontology model is established for aerospace product manufacturability assessment in this paper.On this basis,a structured representation method of manufacturability assessment knowledge and a knowledge graph data layer construction method are proposed.Based on the semantic information and association information expressed by the knowledge graph,a rule matching method based on subgraph matching is proposed to improve the precision and recall.Finally,applications and experiments based on the software platform verify the effectiveness of the proposed knowledge graph construction and rule matching method.
文摘Under the“dual carbon”goal,local governments in China have strategically focused on enhancing capital utilization efficiency and enforcing environmental regulations to improve carbon emission performance.This dual approach targets the intertwined challenges of economic development and environmental protection.Utilizing data from 266 prefecture-level cities in China from 2007 to 2019,this study systematically investigates the effects of capital matching and environmental regulation on carbon emission performance through the spatial Durbin model and the instrumental variable method.The results indicate that both capital matching and environmental regulation significantly enhance carbon emission performance.Capital matching demonstrates positive spatial spillover effects,whereas environmental regulation exhibits negative spatial spillover effects.Furthermore,there are synergistic effects between capital matching and environmental regulation that jointly enhance carbon emission performance.To address potential biases caused by endogenous environmental regulation,the study uses the proportion of environment-related words in provincial government work reports as an instrumental variable for environmental regulation.Additionally,to capture the heterogeneity in the environmental governance willingness and intensity of prefecture-level municipal governments,the study constructs heterogeneous instrumental variables.These variables are derived by multiplying the proportion of a prefecture-level city’s total industrial output value to the province’s total industrial output value with the proportion of environment-related words in the provincial government work reports.Analyses based on these instrumental variables reveal that endogenous issues in environmental regulation lead to an overestimation of its positive impact on carbon emission performance.
基金funded by the National Natural Science Foundation of China(Grant No.52175028).
文摘Accurate and robust navigation in complex surgical environments is crucial for bronchoscopic surgeries.This study purposes a bronchoscopic lumen feature matching network(BLFM-Net)based on deep learning to address the challenges of image noise,anatomical complexity,and the stringent real-time requirements.The BLFM-Net enhances bronchoscopic image processing by integrating several functional modules.The FFA-Net preprocessing module mitigates image fogging and improves visual clarity for subsequent processing.The feature extraction module derives multi-dimensional features,such as centroids,area,and shape descriptors,from dehazed images.The Faster RCNN Object detection module detects bronchial regions of interest and generates bounding boxes to localize key areas.The feature matching module accelerates the process by combining detection boxes,extracted features,and a KD-Tree(K-Dimensional Tree)-based algorithm,ensuring efficient and accurate regional feature associations.The BLFM-Net was evaluated on 5212 bronchoscopic images,demonstrating superior performance compared to traditional and other deep learning-based image matching methods.It achieved real-time matching with an average frame time of 6 ms,with a matching accuracy of over 96%.The method remained robust under challenging conditions including frame dropping(0,5,10,20),shadowed regions,and variable lighting,maintaining accuracy of above 94%even with the frame dropping of 20.This study presents BLFM-Net,a deep learning-based matching network designed to enhance and match bronchial features in bronchoscopic images.The BLFM-Net shows improved accuracy,real-time performance,and reliability,making a valuable tool for bronchoscopic surgeries.
文摘BACKGROUND:Pulse indicated continuous cardiac output(PiCCO)has largely replaced Swan-Ganz catheterization in shock patients.However,whether PiCCO monitoring can improve outcomes of shock patients,such as mortality,length of hospital stay,duration of mechanical ventilation,or laboratory parameters,remains unknown.METHODS:This retrospective cohort study included patients with shock in the intensive care unit(ICU)from January 2013 to January 2020.Patients were divided into PiCCO group and non-PiCCO group based on treatment with PiCCO monitoring or not.Demographic characteristics,Acute Physiology and Chronic Health Evaluation(APACHE)II scores,quick Sequential Organ Failure Assessment(qSOFA)scores,14-day mortality,and N-terminal pro-B-type natriuretic peptide(NT-proBNP)levels at 0,1,3 and 7 days after onset of shock,duration of mechanical ventilation,length of hospital stay and hospitalization costs were compiled and analyzed using propensity score matching(PSM).RESULTS:Real-world analysis of 1,583 ICU patients suff ering shock after propensity score matching revealed that 14-day mortality did not differ between PiCCO and non-PiCCO groups(36.2%vs.32.6%,P=0.343).Duration of mechanical ventilation,hospital stay,and hospitalization costs were also similar between the two groups(P>0.05).No diff erences in changes of NT-proBNP levels on days 0,1,3,and 7 as compared to baseline were noted between the two groups(P>0.05).CONCLUSIONS:The results of our real-world indicate that PiCCO monitoring may not shorten the duration of mechanical ventilation,length of hospital stay,or reduce hospitalization costs,nor will it bring survival benefi ts to ICU patients suff ering shock.
