High temperatures negatively impact thermal comfort and public health.Understanding the relationship between urban morphology and thermal variation is crucial for mitigating excessive heat.In this study,we propose a f...High temperatures negatively impact thermal comfort and public health.Understanding the relationship between urban morphology and thermal variation is crucial for mitigating excessive heat.In this study,we propose a framework that uses the sky view factor(SVF),building view factor(BVF),and green view factor(GVF)to represent street-level spatial morphology,computed from Baidu street view images using semantic segmentation and fisheye transformation.The framework also integrates local climate zones(LCZs)classification with summer Landsat thermal data to explore the relationships between SVF,BVF,GVF,and intra-urban thermal variation.An empirical study is conducted in the core built-up area of Fuzhou.Key findings include:(1)Strong urban thermal intensity is characterized by high openness(SVFmean=0.60)and low vegetation(GVFmean=0.15).(2)In general,SVF(r=0.27)is positively associated with street thermal intensity,whereas BVF(r=-0.15)and GVF(r=-0.21)exhibit negative correlations,based on the entire study area.(3)Within LCZ classes(e.g.,LCZs 1-5),SVF(54.57%of the grids)is mostly positively correlated with temperature difference,while GVF(61.30%of the grids)is predominantly negatively correlated with temperature difference.(4)BVF shows the greatest uncertainty in its relationship with thermal variation,as it effectively quantifies exposure to heat-trapping building surfaces that dominate the local energy balance.The above findings imply that there is spatial heterogeneity in the relationship between view factors and intra-urban thermal variation.These results aid in developing street renewal strategies for urban heat mitigation.展开更多
The calculation of viewing and solar geometry angles is a critical first step in retrieving atmospheric and surface variables from geostationary satellite observations.Whereas the viewing angles for geostationary sate...The calculation of viewing and solar geometry angles is a critical first step in retrieving atmospheric and surface variables from geostationary satellite observations.Whereas the viewing angles for geostationary satellites are not timevarying,a primary source of inaccuracy in solar positioning is the use of a single timestamp.Since pixel scanning times can differ significantly across the field-of-view disk(e.g.,by approximately 13 min for Fengyun-4B),this practice leads to errors of up to±2°in solar zenith angle,which translates to±50 W m−2 in extraterrestrial irradiance;the errors in solar azimuth angle can exceed±100°.Beyond scanning time,this work also quantifies the impact of other inputs—including altitude,surface pressure,air temperature,difference between Terrestrial Time and Universal Time,and atmospheric refraction—on the resulting angles.A comparison of our precise calculations with the official National Satellite Meteorological Center L1_GEO product shows an accuracy within 0.1°,confirming its utility for most retrieval tasks.To facilitate higher precision when required,this work releases the corresponding satellite and solar positioning codes in both R and Python.展开更多
Photoacoustic computed tomography(PACT)integrates optical excitation with ultrasound detection to deliver high-resolution imaging in deep tissues.A persistent limitation is the restricted angular coverage in linear ar...Photoacoustic computed tomography(PACT)integrates optical excitation with ultrasound detection to deliver high-resolution imaging in deep tissues.A persistent limitation is the restricted angular coverage in linear array clinical systems,which results in image loss of vascular detail.Deep learning approaches have been investigated,yet models trained only on PACT data often fail to reconstruct vessels that are poorly represented due to incomplete angular sampling and low signal-to-noise ratio.A Doppler-enhanced photoacoustic network(DEPANet)is introduced that fuses co-registered ultrasound power Doppler with multiwavelength PACT to generate enhanced structural and functional images.Ultrasound power Doppler,less sensitive to the limited-view problem,is acquired interleaved and spatially co-registered with PACT without additional hardware modifications.Validation is conducted in simulations,phantoms,small animals,and a human feasibility study.In phantom experiments,DEPANet expands the effective angular coverage more than10-fold.In rats,DEPANet reconstructs obliquely oriented vessels,increases contrast-to-noise ratio by over7 dB,and stabilizes hemoglobin oxygenation estimates.In human anterior interosseous artery and superior thyroid vasculature imaging,DEPANet recovers vessel morphology and provides physiologically consistent blood oxygen saturation maps.These findings demonstrate that DEPANet enables high-quality vascular and functional imaging using standard linear-array PACT systems.展开更多
Rotational computed laminography(CL)has broad application potential in three-dimensional imaging of plate-like objects because it only requires X-rays to pass through the tested object in the thickness direction durin...Rotational computed laminography(CL)has broad application potential in three-dimensional imaging of plate-like objects because it only requires X-rays to pass through the tested object in the thickness direction during the imaging process.In this study,a rectangular cross-section field-of-view rotational CL(RC-CL)is proposed for circuit board imaging.Compared to other rotational CL systems,the field of view is the largest and most suitable for rectangular circuit boards.Meanwhile,as the imaging geometry of RC-CL is significantly different from that of cone-beam CT,the Feldkamp-Davis-Kress(FDK)reconstruction algorithm cannot be used directly.However,transferring the projection data to fit into the CBCT geometry using two-dimensional interpolation introduces interpolation errors.Therefore,an FDK-type analytical reconstruction algorithm applicable to RC-CL was developed.The effectiveness of the method was validated through numerical experiments,and the influence of the tilt angle on the reconstruction results was analyzed.Finally,the RC-CL technique was applied to real defect detection research on circuit boards.展开更多
3D Gaussian splatting(3DGS)has gained significant attention for its real-time,photorealistic rendering in novel view synthesis.However,its performance degrades severely when applied to real-world scenes with transient...3D Gaussian splatting(3DGS)has gained significant attention for its real-time,photorealistic rendering in novel view synthesis.However,its performance degrades severely when applied to real-world scenes with transients that break cross-view consistency.Existing methods typically attempt to identify and mask out these transients,but inherent masking errors often leave behind incoherent floating Gaussians,resulting in spotted artifacts that degrade the final scene quality.To address these limitations,we propose CleanSplat,a curriculum structural Gaussian splatting method that purifies the scene Gaussians through curriculum 3DGS optimization for transient removal and structural pruning of spotted artifacts.We introduce a curriculum-guided masking paradigm that generates coarse-to-fine transient masks from multi-scale features.The progressive optimization is driven by modulating the masking supervision based on current training state.To clear the spots,we propose a structure-aware handling strategy that employs a superpoint graph(SPG)partitioning of the Gaussians to perform principled identification and hierarchical pruning.This allows for the filtering of both intra-superpoint outliers and entire spurious superpoints based on local 3D coherence instead of only simple photometric consistency.By integrating curriculum 3DGS optimization and structural pruning,our method effectively separates the transients and purifies the static scene Gaussians.Extensive experiments on challenging datasets demonstrate that CleanSplat significantly outperforms state-of-the-art methods,delivering more detailed and cleaner novel view synthesis.展开更多
Open-vocabulary 3D querying based on 3D Gaussian splatting(3DGS)shows great promise in facilitating accurate 3D query capabilities of AI systems.These methods typically rely on pre-captured multi-view images to enable...Open-vocabulary 3D querying based on 3D Gaussian splatting(3DGS)shows great promise in facilitating accurate 3D query capabilities of AI systems.These methods typically rely on pre-captured multi-view images to enable natural language interactions with 3D scenes.In practice,when embodied AI encounters unexplored scenes,it is difficult to obtain observations from different viewpoints beforehand.This challenge highlights the importance of exploring natural language-driven 3D scene querying from a single current viewpoint.This paper proposes single view language Gaussian splatting(SVLGaussian)for the novel task:Open-vocabulary 3D querying based on the input single view.By leveraging multi-round inference of multimodal large language models,SVLGaussian efficiently generates pixel-level semantic probabilities and rapidly embeds them into a 3D Gaussian field,enabling real-time language-guided semantic querying.To verify our model,we annotated three datasets:Lerf_ovs and 3D-OVS,which are tailored for open-vocabulary 3D querying,and RE10K,which is adapted for single-view 3D reconstruction.Both quantitative and qualitative results show that our method effectively supports open-vocabulary 3D querying from a single view.展开更多
Waveguide technology stands as the cornerstone of augmented reality(AR)displays.The polarization volume grating(PVG),with strong refractive index modulation and distinctive polarization selectivity,has exhibited great...Waveguide technology stands as the cornerstone of augmented reality(AR)displays.The polarization volume grating(PVG),with strong refractive index modulation and distinctive polarization selectivity,has exhibited great potential to achieve the two core prerequisites[full-color vision and wide field of view(FOV)]of current wave-guide-based AR displays.However,the development of single-layer full-color PVG waveguides remains stagnant,primarily hindered by severe chromatic dispersion.展开更多
Non-line-of-sight(NLOS)imaging aims to reconstruct objects beyond line-of-sight view,offering potential applications in various fields.However,conventional transient NLOS methods are constrained by the detection regio...Non-line-of-sight(NLOS)imaging aims to reconstruct objects beyond line-of-sight view,offering potential applications in various fields.However,conventional transient NLOS methods are constrained by the detection region,preventing the reconstruction of targets outside its normal space and thereby limiting practical applicability.In this paper,a computational imaging method for super-field-of-view(Super-FoV)reconstruction based on spatial encoding of a translated point spread function(PSF)is proposed.展开更多
Monitoring cardiac function is a fundamental component of the diagnosis and management of critically ill patients.While pulmonary artery catheterization has long served as the standard for hemodynamic assessment,its i...Monitoring cardiac function is a fundamental component of the diagnosis and management of critically ill patients.While pulmonary artery catheterization has long served as the standard for hemodynamic assessment,its invasive nature and associated risks have shifted clinical practice toward non-invasive modalities.[1] Among these methods,point-of-care ultrasound(POCUS) has gained widespread acceptance,offering real-time bedside evaluation of cardiac function.展开更多
Background:Adolescents are highly exposed to digital food-related content,including mukbang videos,yet the psychological consequences of such exposure remain insufficiently understood.This study aimed to examine the a...Background:Adolescents are highly exposed to digital food-related content,including mukbang videos,yet the psychological consequences of such exposure remain insufficiently understood.This study aimed to examine the association between mukbang viewing and anxiety among adolescents and to investigate the mediating roles of high-caffeine beverages and sugar-sweetened beverages intake.Methods:Data from 51,850 adolescents were drawn from the 2022 Korea Youth Risk Behavior Web-based Survey.Parallel mediation analyses were conducted using PROCESS Model 4 with 5000 bootstrap samples to assess whether the frequency of high-caffeine beverages and sugar-sweetened beverages consumption mediated the association between mukbang viewing and anxiety.Analyses were adjusted for academic record,household economic level,grade,and gender.Results:Mukbang viewing was positively associated with anxiety(p<0.001).Watching mukbang significantly predicted higher high-caffeine beverages(B=0.0363,p<0.001)and sugar-sweetened beverages(B=0.0663,p<0.001).In the mediation model,both high-caffeine beverages intake(B=0.4064,p<0.001)and sugar-sweetened beverages intake(B=0.2457,p<0.001)were significantly associated with increased anxiety.The total effect of mukbang viewing on anxiety was significant(B=0.1053),with both a direct effect(B=0.0743)and a significant indirect effect through the two mediators(B=0.0311).Bootstrapped confidence intervals confirmed significant indirect pathways via high-caffeine beverages(B=0.0148,95%CI[0.0120,0.0175])and sugar-sweetened beverages(B=0.0163,95%CI[0.0136,0.0192]).Conclusions:Mukbang viewing is associated with higher anxiety among adolescents,and this relationship is partially mediated by increased high-caffeine beverages and sugar-sweetened beverages intake.These findings suggest that dietary behaviors represent important behavioral pathways linking digital food content exposure to adolescent mental health.展开更多
BACKGROUND Situs inversus totalis(SIT)is a rare congenital anomaly characterized by complete mirror-image transposition of thoracic and abdominal organs.The presence of gallstone disease in these patients represents a...BACKGROUND Situs inversus totalis(SIT)is a rare congenital anomaly characterized by complete mirror-image transposition of thoracic and abdominal organs.The presence of gallstone disease in these patients represents a diagnostic and technical challenge,particularly when laparoscopic cholecystectomy is indicated.CASE SUMMARY We report two cases of symptomatic gallstone disease in patients with SIT.The first case involved a 27-year-old female diagnosed with cholelithiasis following radiological evaluation,while the second case involved a 45-year-old male presenting with cholelithiasis and choledocholithiasis requiring preoperative endoscopic retrograde cholangiopancreatography.Cases were identified retrospectively from institutional surgical records.Data were collected from clinical charts,imaging studies,operative reports,and follow-up visits.In both patients,laparoscopic cholecystectomy was successfully performed using a mirror-image port placement strategy.No intraoperative or postoperative complications occurred,and both patients were discharged on the first postoperative day.CONCLUSION Laparoscopic cholecystectomy in patients with SIT is safe and feasible when meticulous preoperative imaging and careful adaptation of surgical technique are employed.Awareness of mirror-image anatomy and strict adherence to the critical view of safety are essential to minimize the risk of iatrogenic injury.展开更多
With holism,dynamics,interconnectedness,and emergence as its core characteristics,the Unified Complex Systems Theory(UCST)focuses on the evolutionary laws and intrinsic mechanisms of multi-element,multi-level,and mult...With holism,dynamics,interconnectedness,and emergence as its core characteristics,the Unified Complex Systems Theory(UCST)focuses on the evolutionary laws and intrinsic mechanisms of multi-element,multi-level,and multi-dimensional systems,providing a scientific analytical framework for accurately judging the existence and development of various complex phenomena.The core philosophical views of Marx and Engels,including historical materialism,dialectics,alienation theory,and communism theory,have sparked extensive debates since their proposal-garnering numerous adherents while also facing sharp criticisms-and continue to exert a certain influence on the global intellectual and political arenas.Based on the perspective of the UCST,this paper draws on both the interpretations and developments of their views by proponents such as Lenin,Lukács,and Habermas,as well as the doubts and reflections raised by critics like Popper,Russell,and Hayek.From the dual dimensions of theoretical logic and practical verification,it comprehensively analyzes the theoretical value and inherent limitations of Marx and Engels’core philosophical views.Incorporating practical cases from multiple countries and academic research findings,this study aims to provide a neutral,objective,and pluralistic reference for the rational understanding of Marxist philosophy.展开更多
The establishment of a sound science and technology ethics governance system is an inevitable requirement for national modernization.Faced with the development of human gene technology and the chaos in research activi...The establishment of a sound science and technology ethics governance system is an inevitable requirement for national modernization.Faced with the development of human gene technology and the chaos in research activities,the ethical standards and legal positioning of human gene research activities urgently need to be clarified.The human rights ethics view has value inclusiveness and value fundamentality,and includes three levels of connotations:content dimension,relationship dimension,and obligation dimension.It should serve as the ethical standard for human gene research activities.Based on the provisions of China’s Constitution,the human rights ethics view on human gene research,as a constitutional ethics view,can elucidate different levels of rights content,such as human dignity,life and health,and research freedom.It also addresses the weighing of basic rights conflicts and the dual obligation subjects of public and private nature.Relying on the constitutional value embedding of the research ethics view to form ethical consensus,improving ethical review through framework legislation for human rights interests,and implementing ethical responsibility through the human rights-oriented interpretation of ethical legal norms are the three pathways to realizing the human rights ethics view on human gene research.展开更多
Urban environments offer a wealth of opportunities for residents to respite from their hectic life.Outdoor running or jogging becomes increasingly popular of an option.Impacts of urban environments on outdoor running,...Urban environments offer a wealth of opportunities for residents to respite from their hectic life.Outdoor running or jogging becomes increasingly popular of an option.Impacts of urban environments on outdoor running,despite some initial studies,remain underexplored.This study aims to establish an analytical framework that can holistically assess the urban environment on the healthy vitality of running.The proposed framework is applied to two modern Chinese cities,i.e.,Guangzhou and Shenzhen.We construct three interpretable random forest models to explore the non-linear relationship between environmental variables and running intensity(RI)through analyzing the runners'trajectories and integrating with multi-source urban big data(e.g.,street view imagery,remote sensing,and socio-economic data)across the built,natural,and social dimensions,The findings uncover that road density has the greatest impact on RI,and social variables(e.g.,population density and housing price)and natural variables(e.g.,slope and humidity)all make notable impact on outdoor running.Despite these findings,the impact of environmental variables likely change across different regions due to disparate regional construction and micro-environments,and those specific impacts as well as optimal thresholds also alter.Therefore,construction of healthy cities should take the whole urban environment into account and adapt to local conditions.This study provides a comprehensive evaluation on the influencing variables of healthy vitality and guides sustainable urban planning for creating running-friendly cities.展开更多
The increasing prevalence of multi-view data has made multi-view clustering a crucial technique for discovering latent structures from heterogeneous representations.However,traditional fuzzy clustering algorithms show...The increasing prevalence of multi-view data has made multi-view clustering a crucial technique for discovering latent structures from heterogeneous representations.However,traditional fuzzy clustering algorithms show limitations with the inherent uncertainty and imprecision of such data,as they rely on a single-dimensional membership value.To overcome these limitations,we propose an auto-weighted multi-view neutrosophic fuzzy clustering(AW-MVNFC)algorithm.Our method leverages the neutrosophic framework,an extension of fuzzy sets,to explicitly model imprecision and ambiguity through three membership degrees.The core novelty of AWMVNFC lies in a hierarchical weighting strategy that adaptively learns the contributions of both individual data views and the importance of each feature within a view.Through a unified objective function,AW-MVNFC jointly optimizes the neutrosophic membership assignments,cluster centers,and the distributions of view and feature weights.Comprehensive experiments conducted on synthetic and real-world datasets demonstrate that our algorithm achieves more accurate and stable clustering than existing methods,demonstrating its effectiveness in handling the complexities of multi-view data.展开更多
In recent years,with the rapid development of software systems,the continuous expansion of software scale and the increasing complexity of systems have led to the emergence of a growing number of software metrics.Defe...In recent years,with the rapid development of software systems,the continuous expansion of software scale and the increasing complexity of systems have led to the emergence of a growing number of software metrics.Defect prediction methods based on software metric elements highly rely on software metric data.However,redundant software metric data is not conducive to efficient defect prediction,posing severe challenges to current software defect prediction tasks.To address these issues,this paper focuses on the rational clustering of software metric data.Firstly,multiple software projects are evaluated to determine the preset number of clusters for software metrics,and various clustering methods are employed to cluster the metric elements.Subsequently,a co-occurrence matrix is designed to comprehensively quantify the number of times that metrics appear in the same category.Based on the comprehensive results,the software metric data are divided into two semantic views containing different metrics,thereby analyzing the semantic information behind the software metrics.On this basis,this paper also conducts an in-depth analysis of the impact of different semantic view of metrics on defect prediction results,as well as the performance of various classification models under these semantic views.Experiments show that the joint use of the two semantic views can significantly improve the performance of models in software defect prediction,providing a new understanding and approach at the semantic view level for defect prediction research based on software metrics.展开更多
Drone-based small object detection is of great significance in practical applications such as military actions, disaster rescue, transportation, etc. However, the severe scale differences in objects captured by drones...Drone-based small object detection is of great significance in practical applications such as military actions, disaster rescue, transportation, etc. However, the severe scale differences in objects captured by drones and lack of detail information for small-scale objects make drone-based small object detection a formidable challenge. To address these issues, we first develop a mathematical model to explore how changing receptive fields impacts the polynomial fitting results. Subsequently, based on the obtained conclusions, we propose a simple but effective Hybrid Receptive Field Network (HRFNet), whose modules include Hybrid Feature Augmentation (HFA), Hybrid Feature Pyramid (HFP) and Dual Scale Head (DSH). Specifically, HFA employs parallel dilated convolution kernels of different sizes to extend shallow features with different receptive fields, committed to improving the multi-scale adaptability of the network;HFP enhances the perception of small objects by capturing contextual information across layers, while DSH reconstructs the original prediction head utilizing a set of high-resolution features and ultrahigh-resolution features. In addition, in order to train HRFNet, the corresponding dual-scale loss function is designed. Finally, comprehensive evaluation results on public benchmarks such as VisDrone-DET and TinyPerson demonstrate the robustness of the proposed method. Most impressively, the proposed HRFNet achieves a mAP of 51.0 on VisDrone-DET with 29.3 M parameters, which outperforms the extant state-of-the-art detectors. HRFNet also performs excellently in complex scenarios captured by drones, achieving the best performance on the CS-Drone dataset we built.展开更多
Volumetric additive manufacturing(VAM) transforms traditional 2D light pattern projection into spatial light field energy superposition,maximizing the utilization of radiated light and allowing for ultra-fast,support-...Volumetric additive manufacturing(VAM) transforms traditional 2D light pattern projection into spatial light field energy superposition,maximizing the utilization of radiated light and allowing for ultra-fast,support-free printing,which has specific applications in fields such as life sciences and optics.However,traditional VAM processes require numerous projections and extensive computational preparation,limiting practical applications due to low projection efficiency and prolonged calculation times.In this study,we developed sparse-view irradiation processing VAM(SVIP-VAM),employing an optimized odd-even(OE) irradiation strategy inspired by sparse-view computed tomography.Theoretically,we demonstrated structural contour reconstruction feasibility with as few as 8 projections.Using this sparse-view approach,we achieved high-quality fabrication with only 15 projections,enhancing each projection efficiency by over 60 times and reducing projection set computational time by nearly 10-fold.Ultimately,this efficient sparse-view method significantly expands VAM applications into fields requiring rapid manufacturing,such as tissue engineering,medical implants,and aerospace manufacturing.展开更多
基金funded by the National Natural Science Foundation of China(Grant No.42371482)。
摘要High temperatures negatively impact thermal comfort and public health.Understanding the relationship between urban morphology and thermal variation is crucial for mitigating excessive heat.In this study,we propose a framework that uses the sky view factor(SVF),building view factor(BVF),and green view factor(GVF)to represent street-level spatial morphology,computed from Baidu street view images using semantic segmentation and fisheye transformation.The framework also integrates local climate zones(LCZs)classification with summer Landsat thermal data to explore the relationships between SVF,BVF,GVF,and intra-urban thermal variation.An empirical study is conducted in the core built-up area of Fuzhou.Key findings include:(1)Strong urban thermal intensity is characterized by high openness(SVFmean=0.60)and low vegetation(GVFmean=0.15).(2)In general,SVF(r=0.27)is positively associated with street thermal intensity,whereas BVF(r=-0.15)and GVF(r=-0.21)exhibit negative correlations,based on the entire study area.(3)Within LCZ classes(e.g.,LCZs 1-5),SVF(54.57%of the grids)is mostly positively correlated with temperature difference,while GVF(61.30%of the grids)is predominantly negatively correlated with temperature difference.(4)BVF shows the greatest uncertainty in its relationship with thermal variation,as it effectively quantifies exposure to heat-trapping building surfaces that dominate the local energy balance.The above findings imply that there is spatial heterogeneity in the relationship between view factors and intra-urban thermal variation.These results aid in developing street renewal strategies for urban heat mitigation.
基金supported by the National Natural Science Foundation of China(Grant No.42375192).
摘要The calculation of viewing and solar geometry angles is a critical first step in retrieving atmospheric and surface variables from geostationary satellite observations.Whereas the viewing angles for geostationary satellites are not timevarying,a primary source of inaccuracy in solar positioning is the use of a single timestamp.Since pixel scanning times can differ significantly across the field-of-view disk(e.g.,by approximately 13 min for Fengyun-4B),this practice leads to errors of up to±2°in solar zenith angle,which translates to±50 W m−2 in extraterrestrial irradiance;the errors in solar azimuth angle can exceed±100°.Beyond scanning time,this work also quantifies the impact of other inputs—including altitude,surface pressure,air temperature,difference between Terrestrial Time and Universal Time,and atmospheric refraction—on the resulting angles.A comparison of our precise calculations with the official National Satellite Meteorological Center L1_GEO product shows an accuracy within 0.1°,confirming its utility for most retrieval tasks.To facilitate higher precision when required,this work releases the corresponding satellite and solar positioning codes in both R and Python.
基金supported by the Research Grants Council of the Hong Kong Special Administrative Region(Grant No.11104922)the National Natural Science Foundation of China(Grant No.61805102)。
摘要Photoacoustic computed tomography(PACT)integrates optical excitation with ultrasound detection to deliver high-resolution imaging in deep tissues.A persistent limitation is the restricted angular coverage in linear array clinical systems,which results in image loss of vascular detail.Deep learning approaches have been investigated,yet models trained only on PACT data often fail to reconstruct vessels that are poorly represented due to incomplete angular sampling and low signal-to-noise ratio.A Doppler-enhanced photoacoustic network(DEPANet)is introduced that fuses co-registered ultrasound power Doppler with multiwavelength PACT to generate enhanced structural and functional images.Ultrasound power Doppler,less sensitive to the limited-view problem,is acquired interleaved and spatially co-registered with PACT without additional hardware modifications.Validation is conducted in simulations,phantoms,small animals,and a human feasibility study.In phantom experiments,DEPANet expands the effective angular coverage more than10-fold.In rats,DEPANet reconstructs obliquely oriented vessels,increases contrast-to-noise ratio by over7 dB,and stabilizes hemoglobin oxygenation estimates.In human anterior interosseous artery and superior thyroid vasculature imaging,DEPANet recovers vessel morphology and provides physiologically consistent blood oxygen saturation maps.These findings demonstrate that DEPANet enables high-quality vascular and functional imaging using standard linear-array PACT systems.
基金supported by the National Key Research and Development Program of China(No.2022YFF0607802)。
摘要Rotational computed laminography(CL)has broad application potential in three-dimensional imaging of plate-like objects because it only requires X-rays to pass through the tested object in the thickness direction during the imaging process.In this study,a rectangular cross-section field-of-view rotational CL(RC-CL)is proposed for circuit board imaging.Compared to other rotational CL systems,the field of view is the largest and most suitable for rectangular circuit boards.Meanwhile,as the imaging geometry of RC-CL is significantly different from that of cone-beam CT,the Feldkamp-Davis-Kress(FDK)reconstruction algorithm cannot be used directly.However,transferring the projection data to fit into the CBCT geometry using two-dimensional interpolation introduces interpolation errors.Therefore,an FDK-type analytical reconstruction algorithm applicable to RC-CL was developed.The effectiveness of the method was validated through numerical experiments,and the influence of the tilt angle on the reconstruction results was analyzed.Finally,the RC-CL technique was applied to real defect detection research on circuit boards.
基金Supported by Science and Technology Project of Hainan Provincial Department of Transportation(Grant No.HNJTT-KXC-2024-3-22-02)the National Natural Science Foundation of China(Grant Nos.62272018,62206184).
摘要3D Gaussian splatting(3DGS)has gained significant attention for its real-time,photorealistic rendering in novel view synthesis.However,its performance degrades severely when applied to real-world scenes with transients that break cross-view consistency.Existing methods typically attempt to identify and mask out these transients,but inherent masking errors often leave behind incoherent floating Gaussians,resulting in spotted artifacts that degrade the final scene quality.To address these limitations,we propose CleanSplat,a curriculum structural Gaussian splatting method that purifies the scene Gaussians through curriculum 3DGS optimization for transient removal and structural pruning of spotted artifacts.We introduce a curriculum-guided masking paradigm that generates coarse-to-fine transient masks from multi-scale features.The progressive optimization is driven by modulating the masking supervision based on current training state.To clear the spots,we propose a structure-aware handling strategy that employs a superpoint graph(SPG)partitioning of the Gaussians to perform principled identification and hierarchical pruning.This allows for the filtering of both intra-superpoint outliers and entire spurious superpoints based on local 3D coherence instead of only simple photometric consistency.By integrating curriculum 3DGS optimization and structural pruning,our method effectively separates the transients and purifies the static scene Gaussians.Extensive experiments on challenging datasets demonstrate that CleanSplat significantly outperforms state-of-the-art methods,delivering more detailed and cleaner novel view synthesis.
基金supported by the Key Research and Development Program of Zhejiang Province(Grant No.2025C01026)the National College Students Innovation and Entrepreneurship Training Program of the Ministry of Education of the People's Republic of China(Grant No.202410336024)+1 种基金the National Natural Science Foundation of China(Grant Nos.62206082,62402152,62472133 and 62422204)the Natural Science Foundation of Zhejiang Province(Grant Nos.LDT23F02025F02,LQN25F020017 and LRG26F020001)。
摘要Open-vocabulary 3D querying based on 3D Gaussian splatting(3DGS)shows great promise in facilitating accurate 3D query capabilities of AI systems.These methods typically rely on pre-captured multi-view images to enable natural language interactions with 3D scenes.In practice,when embodied AI encounters unexplored scenes,it is difficult to obtain observations from different viewpoints beforehand.This challenge highlights the importance of exploring natural language-driven 3D scene querying from a single current viewpoint.This paper proposes single view language Gaussian splatting(SVLGaussian)for the novel task:Open-vocabulary 3D querying based on the input single view.By leveraging multi-round inference of multimodal large language models,SVLGaussian efficiently generates pixel-level semantic probabilities and rapidly embeds them into a 3D Gaussian field,enabling real-time language-guided semantic querying.To verify our model,we annotated three datasets:Lerf_ovs and 3D-OVS,which are tailored for open-vocabulary 3D querying,and RE10K,which is adapted for single-view 3D reconstruction.Both quantitative and qualitative results show that our method effectively supports open-vocabulary 3D querying from a single view.
基金Advanced Materials-National Science and Technology Major Project(2025ZD0616000)National Natural Science Foundation of China(62575070,62175032,U25A20522,12534017)+2 种基金Natural Science Foundation for Distinguished Young Scholars of Fujian Province(2024J010046)Fujian Provincial Foreign Cooperation Project(2025I1002)Shenzhen Science and Technology Innovation Commission(KJZD20240903103807010)。
摘要Waveguide technology stands as the cornerstone of augmented reality(AR)displays.The polarization volume grating(PVG),with strong refractive index modulation and distinctive polarization selectivity,has exhibited great potential to achieve the two core prerequisites[full-color vision and wide field of view(FOV)]of current wave-guide-based AR displays.However,the development of single-layer full-color PVG waveguides remains stagnant,primarily hindered by severe chromatic dispersion.
基金National Natural Science Foundation of China(62427803,62031018,U23A20283)Jiangsu Provincial Key Research and Development Program(BE2022391)Fundamental Research Funds for the Central Universities(30924010812)。
摘要Non-line-of-sight(NLOS)imaging aims to reconstruct objects beyond line-of-sight view,offering potential applications in various fields.However,conventional transient NLOS methods are constrained by the detection region,preventing the reconstruction of targets outside its normal space and thereby limiting practical applicability.In this paper,a computational imaging method for super-field-of-view(Super-FoV)reconstruction based on spatial encoding of a translated point spread function(PSF)is proposed.
摘要Monitoring cardiac function is a fundamental component of the diagnosis and management of critically ill patients.While pulmonary artery catheterization has long served as the standard for hemodynamic assessment,its invasive nature and associated risks have shifted clinical practice toward non-invasive modalities.[1] Among these methods,point-of-care ultrasound(POCUS) has gained widespread acceptance,offering real-time bedside evaluation of cardiac function.
摘要Background:Adolescents are highly exposed to digital food-related content,including mukbang videos,yet the psychological consequences of such exposure remain insufficiently understood.This study aimed to examine the association between mukbang viewing and anxiety among adolescents and to investigate the mediating roles of high-caffeine beverages and sugar-sweetened beverages intake.Methods:Data from 51,850 adolescents were drawn from the 2022 Korea Youth Risk Behavior Web-based Survey.Parallel mediation analyses were conducted using PROCESS Model 4 with 5000 bootstrap samples to assess whether the frequency of high-caffeine beverages and sugar-sweetened beverages consumption mediated the association between mukbang viewing and anxiety.Analyses were adjusted for academic record,household economic level,grade,and gender.Results:Mukbang viewing was positively associated with anxiety(p<0.001).Watching mukbang significantly predicted higher high-caffeine beverages(B=0.0363,p<0.001)and sugar-sweetened beverages(B=0.0663,p<0.001).In the mediation model,both high-caffeine beverages intake(B=0.4064,p<0.001)and sugar-sweetened beverages intake(B=0.2457,p<0.001)were significantly associated with increased anxiety.The total effect of mukbang viewing on anxiety was significant(B=0.1053),with both a direct effect(B=0.0743)and a significant indirect effect through the two mediators(B=0.0311).Bootstrapped confidence intervals confirmed significant indirect pathways via high-caffeine beverages(B=0.0148,95%CI[0.0120,0.0175])and sugar-sweetened beverages(B=0.0163,95%CI[0.0136,0.0192]).Conclusions:Mukbang viewing is associated with higher anxiety among adolescents,and this relationship is partially mediated by increased high-caffeine beverages and sugar-sweetened beverages intake.These findings suggest that dietary behaviors represent important behavioral pathways linking digital food content exposure to adolescent mental health.
摘要BACKGROUND Situs inversus totalis(SIT)is a rare congenital anomaly characterized by complete mirror-image transposition of thoracic and abdominal organs.The presence of gallstone disease in these patients represents a diagnostic and technical challenge,particularly when laparoscopic cholecystectomy is indicated.CASE SUMMARY We report two cases of symptomatic gallstone disease in patients with SIT.The first case involved a 27-year-old female diagnosed with cholelithiasis following radiological evaluation,while the second case involved a 45-year-old male presenting with cholelithiasis and choledocholithiasis requiring preoperative endoscopic retrograde cholangiopancreatography.Cases were identified retrospectively from institutional surgical records.Data were collected from clinical charts,imaging studies,operative reports,and follow-up visits.In both patients,laparoscopic cholecystectomy was successfully performed using a mirror-image port placement strategy.No intraoperative or postoperative complications occurred,and both patients were discharged on the first postoperative day.CONCLUSION Laparoscopic cholecystectomy in patients with SIT is safe and feasible when meticulous preoperative imaging and careful adaptation of surgical technique are employed.Awareness of mirror-image anatomy and strict adherence to the critical view of safety are essential to minimize the risk of iatrogenic injury.
基金supported by the start-up funding from Westlake University under Grant Number 041030150118the scientific research project of Westlake University“Theoretical Research and Demonstration Application of Complex Systems and Deep-Sea Technology(Phase I)”under Grant Number WU2025A006.
摘要With holism,dynamics,interconnectedness,and emergence as its core characteristics,the Unified Complex Systems Theory(UCST)focuses on the evolutionary laws and intrinsic mechanisms of multi-element,multi-level,and multi-dimensional systems,providing a scientific analytical framework for accurately judging the existence and development of various complex phenomena.The core philosophical views of Marx and Engels,including historical materialism,dialectics,alienation theory,and communism theory,have sparked extensive debates since their proposal-garnering numerous adherents while also facing sharp criticisms-and continue to exert a certain influence on the global intellectual and political arenas.Based on the perspective of the UCST,this paper draws on both the interpretations and developments of their views by proponents such as Lenin,Lukács,and Habermas,as well as the doubts and reflections raised by critics like Popper,Russell,and Hayek.From the dual dimensions of theoretical logic and practical verification,it comprehensively analyzes the theoretical value and inherent limitations of Marx and Engels’core philosophical views.Incorporating practical cases from multiple countries and academic research findings,this study aims to provide a neutral,objective,and pluralistic reference for the rational understanding of Marxist philosophy.
基金This paper is an interim result of“Constitutional Boundaries of the Application of Human Gene Editing Technology,”a Youth Project of the National Social Science Fund of China(Project Approval Number 23CFX040)supported by the“National Funded Programs for Postdoctoral Researchers”(GZC20230937).
摘要The establishment of a sound science and technology ethics governance system is an inevitable requirement for national modernization.Faced with the development of human gene technology and the chaos in research activities,the ethical standards and legal positioning of human gene research activities urgently need to be clarified.The human rights ethics view has value inclusiveness and value fundamentality,and includes three levels of connotations:content dimension,relationship dimension,and obligation dimension.It should serve as the ethical standard for human gene research activities.Based on the provisions of China’s Constitution,the human rights ethics view on human gene research,as a constitutional ethics view,can elucidate different levels of rights content,such as human dignity,life and health,and research freedom.It also addresses the weighing of basic rights conflicts and the dual obligation subjects of public and private nature.Relying on the constitutional value embedding of the research ethics view to form ethical consensus,improving ethical review through framework legislation for human rights interests,and implementing ethical responsibility through the human rights-oriented interpretation of ethical legal norms are the three pathways to realizing the human rights ethics view on human gene research.
基金National Natural Science Foundation of China,No.42171455The Hong Kong RGC Research Impact Fund,No.R5011-23The Hong Kong General Research Fund,No.15204121。
摘要Urban environments offer a wealth of opportunities for residents to respite from their hectic life.Outdoor running or jogging becomes increasingly popular of an option.Impacts of urban environments on outdoor running,despite some initial studies,remain underexplored.This study aims to establish an analytical framework that can holistically assess the urban environment on the healthy vitality of running.The proposed framework is applied to two modern Chinese cities,i.e.,Guangzhou and Shenzhen.We construct three interpretable random forest models to explore the non-linear relationship between environmental variables and running intensity(RI)through analyzing the runners'trajectories and integrating with multi-source urban big data(e.g.,street view imagery,remote sensing,and socio-economic data)across the built,natural,and social dimensions,The findings uncover that road density has the greatest impact on RI,and social variables(e.g.,population density and housing price)and natural variables(e.g.,slope and humidity)all make notable impact on outdoor running.Despite these findings,the impact of environmental variables likely change across different regions due to disparate regional construction and micro-environments,and those specific impacts as well as optimal thresholds also alter.Therefore,construction of healthy cities should take the whole urban environment into account and adapt to local conditions.This study provides a comprehensive evaluation on the influencing variables of healthy vitality and guides sustainable urban planning for creating running-friendly cities.
摘要The increasing prevalence of multi-view data has made multi-view clustering a crucial technique for discovering latent structures from heterogeneous representations.However,traditional fuzzy clustering algorithms show limitations with the inherent uncertainty and imprecision of such data,as they rely on a single-dimensional membership value.To overcome these limitations,we propose an auto-weighted multi-view neutrosophic fuzzy clustering(AW-MVNFC)algorithm.Our method leverages the neutrosophic framework,an extension of fuzzy sets,to explicitly model imprecision and ambiguity through three membership degrees.The core novelty of AWMVNFC lies in a hierarchical weighting strategy that adaptively learns the contributions of both individual data views and the importance of each feature within a view.Through a unified objective function,AW-MVNFC jointly optimizes the neutrosophic membership assignments,cluster centers,and the distributions of view and feature weights.Comprehensive experiments conducted on synthetic and real-world datasets demonstrate that our algorithm achieves more accurate and stable clustering than existing methods,demonstrating its effectiveness in handling the complexities of multi-view data.
基金supported by the CCF-NSFOCUS‘Kunpeng’Research Fund(CCF-NSFOCUS2024012).
摘要In recent years,with the rapid development of software systems,the continuous expansion of software scale and the increasing complexity of systems have led to the emergence of a growing number of software metrics.Defect prediction methods based on software metric elements highly rely on software metric data.However,redundant software metric data is not conducive to efficient defect prediction,posing severe challenges to current software defect prediction tasks.To address these issues,this paper focuses on the rational clustering of software metric data.Firstly,multiple software projects are evaluated to determine the preset number of clusters for software metrics,and various clustering methods are employed to cluster the metric elements.Subsequently,a co-occurrence matrix is designed to comprehensively quantify the number of times that metrics appear in the same category.Based on the comprehensive results,the software metric data are divided into two semantic views containing different metrics,thereby analyzing the semantic information behind the software metrics.On this basis,this paper also conducts an in-depth analysis of the impact of different semantic view of metrics on defect prediction results,as well as the performance of various classification models under these semantic views.Experiments show that the joint use of the two semantic views can significantly improve the performance of models in software defect prediction,providing a new understanding and approach at the semantic view level for defect prediction research based on software metrics.
基金supported by the National Natural Science Foundation of China(Nos.62276204 and 62203343)the Fundamental Research Funds for the Central Universities(No.YJSJ24011)+1 种基金the Natural Science Basic Research Program of Shanxi,China(Nos.2022JM-340 and 2023-JC-QN-0710)the China Postdoctoral Science Foundation(Nos.2020T130494 and 2018M633470).
摘要Drone-based small object detection is of great significance in practical applications such as military actions, disaster rescue, transportation, etc. However, the severe scale differences in objects captured by drones and lack of detail information for small-scale objects make drone-based small object detection a formidable challenge. To address these issues, we first develop a mathematical model to explore how changing receptive fields impacts the polynomial fitting results. Subsequently, based on the obtained conclusions, we propose a simple but effective Hybrid Receptive Field Network (HRFNet), whose modules include Hybrid Feature Augmentation (HFA), Hybrid Feature Pyramid (HFP) and Dual Scale Head (DSH). Specifically, HFA employs parallel dilated convolution kernels of different sizes to extend shallow features with different receptive fields, committed to improving the multi-scale adaptability of the network;HFP enhances the perception of small objects by capturing contextual information across layers, while DSH reconstructs the original prediction head utilizing a set of high-resolution features and ultrahigh-resolution features. In addition, in order to train HRFNet, the corresponding dual-scale loss function is designed. Finally, comprehensive evaluation results on public benchmarks such as VisDrone-DET and TinyPerson demonstrate the robustness of the proposed method. Most impressively, the proposed HRFNet achieves a mAP of 51.0 on VisDrone-DET with 29.3 M parameters, which outperforms the extant state-of-the-art detectors. HRFNet also performs excellently in complex scenarios captured by drones, achieving the best performance on the CS-Drone dataset we built.
基金supported financially by the Beijing Municipal Natural Science Foundation (L232109)National Natural Science Foundation of China (22073003)Fundamental Research Funds for the Central Universities (YWF-22-K-101)。
摘要Volumetric additive manufacturing(VAM) transforms traditional 2D light pattern projection into spatial light field energy superposition,maximizing the utilization of radiated light and allowing for ultra-fast,support-free printing,which has specific applications in fields such as life sciences and optics.However,traditional VAM processes require numerous projections and extensive computational preparation,limiting practical applications due to low projection efficiency and prolonged calculation times.In this study,we developed sparse-view irradiation processing VAM(SVIP-VAM),employing an optimized odd-even(OE) irradiation strategy inspired by sparse-view computed tomography.Theoretically,we demonstrated structural contour reconstruction feasibility with as few as 8 projections.Using this sparse-view approach,we achieved high-quality fabrication with only 15 projections,enhancing each projection efficiency by over 60 times and reducing projection set computational time by nearly 10-fold.Ultimately,this efficient sparse-view method significantly expands VAM applications into fields requiring rapid manufacturing,such as tissue engineering,medical implants,and aerospace manufacturing.