Histopathological analysis of chronic wounds is crucial for clinicians to accurately assess wound healing progress and detect potential malignancy.However,traditional pathological tissue sections require specific stai...Histopathological analysis of chronic wounds is crucial for clinicians to accurately assess wound healing progress and detect potential malignancy.However,traditional pathological tissue sections require specific staining procedures involving carcinogenic chemicals.This study proposes an interdisciplinary approach merging materials science,medicine,and artificial intelligence(AI)to develop a virtual staining technique and intelligent evaluation model based on deep learning for chronic wound tissue pathology.This innovation aims to enhance clinical diagnosis and treatment by offering personalized AI-driven therapeutic strategies.By establishing a mouse model of chronic wounds and using a series of hydrogel wound dressings,tissue pathology sections were periodically collected for manual staining and healing assessment.We focused on leveraging the pix2pix image translation framework within deep learning networks.Through CNN models implemented in Python using PyTorch,our study involves learning and feature extraction for region segmentation of pathological slides.Comparative analysis between virtual staining and manual staining results,along with healing diagnosis conclusions,aims to optimize AI models.Ultimately,this approach integrates new metrics such as image recognition,quantitative analysis,and digital diagnostics to formulate an intelligent wound assessment model,facilitating smart monitoring and personalized treatment of wounds.In blind evaluation by pathologists,minimal disparities were found between virtual and conventional histologically stained images of murine wound tissue.The evaluation used pathologists’average scores on real stained images as a benchmark.The scores for virtual stained images were 71.1%for cellular features,75.4%for tissue structures,and 77.8%for overall assessment.Metrics such as PSNR(20.265)and SSIM(0.634)demonstrated our algorithms’superior performance over existing networks.Eight pathological features such as epidermis,hair follicles,and granulation tissue can be accurately identified,and the images were found to be more faithful to the actual tissue feature distribution when compared to manually annotated data.展开更多
融合子图学习与联邦学习后,联邦子图学习在保护数据隐私的同时可实现多客户端子图信息之间的协同学习.然而,由于不同客户端的数据收集方式存在差异,图数据通常呈现非独立同分布特性.同时,不同客户端局部图数据的结构和特征也存在较大差...融合子图学习与联邦学习后,联邦子图学习在保护数据隐私的同时可实现多客户端子图信息之间的协同学习.然而,由于不同客户端的数据收集方式存在差异,图数据通常呈现非独立同分布特性.同时,不同客户端局部图数据的结构和特征也存在较大差异.这些因素导致联邦子图学习在训练过程中出现收敛困难和泛化能较差等问题.为了解决此问题,文中提出基于嵌入对齐与参数激活的个性化联邦子图学习方法(Personalized Federated Subgraph Learning with Embedding Alignment and Parameter Activation,FSL-EAPA).首先,根据客户端之间的相似性进行个性化模型聚合,降低数据非独立同分布对整体性能的影响.然后,引入参数选择性激活进行模型更新,应对子图结构特征的异质性.最后,利用更新后的客户端为各本地节点嵌入提供正负聚类表示,聚集同类局部节点.因此,FSL-EAPA能充分学习各节点的特征表示,较好地适应不同客户端之间的差异化数据分布.在真实基准图数据集上的实验表明FSL-EAPA的有效性,并且在不同场景下都能获得较高的分类精度.展开更多
The reservoir landslide is typically characterized by high-speed movement of a particle-fluid mixture,and its flow and deposit mechanisms are complex.This paper presents the mechanism of submerged granular column coll...The reservoir landslide is typically characterized by high-speed movement of a particle-fluid mixture,and its flow and deposit mechanisms are complex.This paper presents the mechanism of submerged granular column collapse under different densities ambient fluids based on coupled computational fluid dynamics and discrete element method(CFD-DEM)analysis.Important fluid-particle interaction forces,such as the drag force and the buoyancy,are considered by exchanging interaction forces between the CFD and DEM computations.We focus on the flow and deposit characteristics of submerged granular column collapse,namely the runout distance,the tail end height,the particle velocity,the energy,and deposit morphology,which are analyzed qualitatively and quantitatively.The change in fluid field caused by submerged granular column collapse and the formation of eddies are also discussed.A relatively dense fluid can significantly hinder the motion of granular flow,but can improve the conversion efficiency of kinetic energy from the vertical to the horizontal direction.Moreover,the eddies caused by fluid turbulence erode the surface of the granular pile,which is especially marked in a high-density fluid.The findings can provide vital theoretical support for the flow and deposit characteristics of granular flow under fluid and offer insights for the study of reservoir landslides.展开更多
Enhancing Autonomous Decision-Making (ADM) for unmanned combat aerial vehicle formations in beyond-visual-range air combat is pivotal for future battlefields, whereas the predominant reinforcement learning technique f...Enhancing Autonomous Decision-Making (ADM) for unmanned combat aerial vehicle formations in beyond-visual-range air combat is pivotal for future battlefields, whereas the predominant reinforcement learning technique for ADM has been proven to be inadequately fitting complex tactical Unit Coordination (UC), limiting the integrity of decision-making for formations. This study proposes a knowledge-enhanced ADM method, with a focus on UC, to elevate formation combat effectiveness. The main innovation is integrating data mining technique with tactical knowledge mining and integration. Foremost, based on Frequent Event Arrangement Mining (FEAM) theory, a cross-channel UC knowledge mining method is designed by introducing data flow, which is capable of capturing dynamic coordinative action sequences. Then, a dual-mode knowledge integration method is proposed by employing the Graph Attention Network (GAT) and attenuated structural similarity, bolstering the interplay between autonomous UC tactics fitting and knowledge injection. The experimental results demonstrate that the algorithm surpasses the existing methods, providing more strategic maneuver trajectories and a win rate of more than 90% in different scenarios. The method is promising to augment the autonomous operational capabilities of unmanned formations and drive the evolution of combat effectiveness.展开更多
Natural phytoconstituents exhibit distinct advantages in the management and prevention of inflammatory bowel disease(IBD),attributed to their robust biological activity,multi-target effects,and elevated safety profile...Natural phytoconstituents exhibit distinct advantages in the management and prevention of inflammatory bowel disease(IBD),attributed to their robust biological activity,multi-target effects,and elevated safety profile.Although promising,the clinical application of phytoconstituents have been impeded by poor water solubility,low oral bioavailability,and inadequate colonic targeting.Recent advancements in nanotechnology has offered prospective avenues for the application of phytoconstituents in the treatment of IBD.A common strategy involves encapsulating or conjugating phytoconstituents with nanocarriers to enhance their stability,prolong intestinal retention,and facilitate targeted delivery to colonic inflammatory tissues.Furthermore,drawing inspiration from the self-assembling nanostructures that emerge during the decoction process of Chinese herbs,a variety of natural active compounds-based nanoassemblies have been developed for the treatment of IBD.They exhibit high drug-loading capacities and surmount the challenges posed by poor water solubility and low bioavailability.Notably,phyto-derived nanovesicles,owing to their unique structure and biological functions,can serve as therapeutic agents or novel delivery vehicles for the treatment of IBD.Consequently,this review provides an extensive overview of emerging phytoconstituent-derived nano-medicines/vesicles for the treatment of IBD,intending to offer novel insights for the clinical management of IBD.展开更多
Background:With the proliferation of smartphones,adolescent mobile phone dependency has intensified,potentially precipitating academic burnout and other adverse outcomes among students.Contemporary study mostly examin...Background:With the proliferation of smartphones,adolescent mobile phone dependency has intensified,potentially precipitating academic burnout and other adverse outcomes among students.Contemporary study mostly examines college populations,resulting in a lack of exploration on the internal mechanisms connecting mobile phone dependency to academic burnout.In addition to analysing the chain-mediated effects of sleep quality and cognitive flexibility,this study sought to provide theoretical insights for prevention by applying the Conservation of Resources theory to examine the relationship between academic burnout and mobile phone dependency among middle and high school students.Methods:A cluster convenience sampling approach was adopted.Data were collected from 811 middle and high school students in Tianjin,China,using a paper-based questionnaire battery comprising the Mobile Phone Addiction Index,the Pittsburgh Sleep Quality Index,the Cognitive Flexibility Scale,and the Adolescent Academic Burnout Scale.Descriptive statistics and correlation analyses were conducted using SPSS 25.0.Chain mediation effects were examined via the PROCESS macro,with significance assessed using bias-corrected bootstrap 95%confidence intervals.Results:A statistically significant positive link exists between mobile phone dependency and academic burnout among middle and high school students(r=0.575,p<0.001).Dependence on mobile phones had a substantial direct impact on academic burnout(β=0.303,p<0.001).Chain mediation analysis revealed that mobile phone dependency had a substantial direct impact on academic burnout(β=0.303,p<0.001).Sleep quality and cognitive flexibility mediated the link between mobile phone dependency and academic burnout.These indirect pathways represent 44.18%of the total effect.Conclusions:Mobile phone dependency contributes to academic burnout amongmiddle and high school students,mediated sequentially by sleep quality and cognitive flexibility.These findings suggest a potential intervention strategy to mitigate academic burnout by targeting excessive mobile phone use,enhancing sleep hygiene,and implementing cognitive flexibility training.展开更多
BACKGROUND Gut microbiota dysbiosis plays a central role in the pathogenesis of functional constipation(FC),but clinical treatment has shown uneven efficacy through methods of regulating intestinal flora.Most existing...BACKGROUND Gut microbiota dysbiosis plays a central role in the pathogenesis of functional constipation(FC),but clinical treatment has shown uneven efficacy through methods of regulating intestinal flora.Most existing studies have concentrated on overall case-control comparisons,with limited stratification by age or constipation subtype.Knowledge of how these factors shape gut microbiota composition remains inadequate,constraining the development of effective personalized microbiota-based interventions.Ninety-two patients with FC completed questionnaires and underwent anorectal manometry and gastrointestinal transit tests;stool samples were collected for 16S rRNA gene sequencing.Stool samples alone were collected from 34 healthy controls.Patients with FC were categorized into age groups(young,middle-aged,and older)and classified into normal-transit constipation,slow-transit consti-pation(STC),defecatory disorder(DD),and mixed constipation subtypes.Gut mi-crobial compositions across age groups and constipation subtypes were com-pared,and their correlations with clinical parameters were investigated.RESULTS The young group demonstrated significantly higher anal resting and squeeze pressures than the middle-aged and the older groups.Microbial richness and diversity were substantially lower in the older group than in middle-aged and young groups.Gut microbiota in the young group was predominantly enriched in taxa increasing sphincter tone and inhibiting intestinal peristalsis;the older group featured abundances of short-chain fatty acid-producing,beneficial taxa.The middle-aged group showed an enrichment of pro-inflammatory and pathogenic bacteria.Microbial richness and diversity were higher in STC than in the DD group.Moreover,STC group was enriched in taxa associated with slower peristalsis;DD group showed enrichment of motility-promoting taxa.CONCLUSION Significant differences in microbial composition and function were observed across age groups and constipation subtypes in FC,suggesting underlying pathophysiological heterogeneity and providing a basis for precision diagnosis and treatment.展开更多
Objective Human brucellosis is a serious public health concern in the Xilingol League,Inner Mongolia;however,the epidemic trends are unclear.Method In this study,Joinpoint regression analysis and spatiotemporal analys...Objective Human brucellosis is a serious public health concern in the Xilingol League,Inner Mongolia;however,the epidemic trends are unclear.Method In this study,Joinpoint regression analysis and spatiotemporal analysis were applied to investigate the epidemic evolution of human brucellosis.Result From 2004 to 2023,a total of 35,747 cases were reported,with an annual average of 1787.35cases and an annual average incidence rate of 176.04/100,000.The incidence increased from 173.96/100,000 in 2004 to 500.71/100,000 in 2009 and fluctuated to 61.43/100,000 in 2023.Three epidemic join points were observed in which the disease experienced an alternative rise and fall,peaking in 2009(APC=21.73,P>0.001)and 2020(APC=21.51,P>0.001).The disease showed a persistent decline trend in lentitude(AAPC=–5.30,P>0.001),suggesting challenges in disease control and a higher risk of rebound.The most cases were reported in Xilinhot City(n=4,777),followed by 4,391 in Sonid Left Banner,and 4,324 in Abaga Banner.Spatiotemporal analysis revealed two high clusters(CI and CII)from 2005 to 2012,the high cluster encompassing eight counties and shifting from north to south.Conclusion The present analysis highlights that human brucellosis has decreased significantly in the Xilingol League,but the epidemic is still severe;further implementation of a strict control program is necessary.展开更多
In exploring hypersonic propulsion,precooler combined engines require the development of lightweight,efficient,and compact heat exchangers(HX).As additive manufacturing technology continues to progress,triply periodic...In exploring hypersonic propulsion,precooler combined engines require the development of lightweight,efficient,and compact heat exchangers(HX).As additive manufacturing technology continues to progress,triply periodic minimal surface(TPMS)structures,characterized by exceptionally high surface area to volume ratios and intricate geometric structures,have demonstrated superior heat transfer performance.This research examines the thermal-hydraulic(TH)behavior of FKS and Diamond as heat transfer structures under different Reynolds numbers through numerical simulations.The Nusselt number for FKS is 13.2%–17.6%higher than Diamond,while the friction factor for FKS is approximately 18.8%–29.3%higher.A detailed analysis of the internal flow mechanisms reveals that the flow pattern within TPMS can be summarized as cyclic convergence-separation-convergence.The fluid experiences constant disturbances from the structure in all spatial directions,generating strong turbulent mixing and large wall shear stresses,which significantly enhance heat transfer performance.展开更多
基金supported by the Fundamental Research Funds for the Central Universities(No.20720230037)the National Natural Science Foundation of China(No.52273305)+2 种基金Natural Science Foundation of Fujian Province of China(No.2023J05012)State Key Laboratory of Vaccines for Infectious Diseases,Xiang An Biomedicine Laboratory(Nos.2023XAKJ0103071,2023XAKJ0102061)Natural Science Foundation of Xiamen,China(No.3502Z20227010).
文摘Histopathological analysis of chronic wounds is crucial for clinicians to accurately assess wound healing progress and detect potential malignancy.However,traditional pathological tissue sections require specific staining procedures involving carcinogenic chemicals.This study proposes an interdisciplinary approach merging materials science,medicine,and artificial intelligence(AI)to develop a virtual staining technique and intelligent evaluation model based on deep learning for chronic wound tissue pathology.This innovation aims to enhance clinical diagnosis and treatment by offering personalized AI-driven therapeutic strategies.By establishing a mouse model of chronic wounds and using a series of hydrogel wound dressings,tissue pathology sections were periodically collected for manual staining and healing assessment.We focused on leveraging the pix2pix image translation framework within deep learning networks.Through CNN models implemented in Python using PyTorch,our study involves learning and feature extraction for region segmentation of pathological slides.Comparative analysis between virtual staining and manual staining results,along with healing diagnosis conclusions,aims to optimize AI models.Ultimately,this approach integrates new metrics such as image recognition,quantitative analysis,and digital diagnostics to formulate an intelligent wound assessment model,facilitating smart monitoring and personalized treatment of wounds.In blind evaluation by pathologists,minimal disparities were found between virtual and conventional histologically stained images of murine wound tissue.The evaluation used pathologists’average scores on real stained images as a benchmark.The scores for virtual stained images were 71.1%for cellular features,75.4%for tissue structures,and 77.8%for overall assessment.Metrics such as PSNR(20.265)and SSIM(0.634)demonstrated our algorithms’superior performance over existing networks.Eight pathological features such as epidermis,hair follicles,and granulation tissue can be accurately identified,and the images were found to be more faithful to the actual tissue feature distribution when compared to manually annotated data.
文摘融合子图学习与联邦学习后,联邦子图学习在保护数据隐私的同时可实现多客户端子图信息之间的协同学习.然而,由于不同客户端的数据收集方式存在差异,图数据通常呈现非独立同分布特性.同时,不同客户端局部图数据的结构和特征也存在较大差异.这些因素导致联邦子图学习在训练过程中出现收敛困难和泛化能较差等问题.为了解决此问题,文中提出基于嵌入对齐与参数激活的个性化联邦子图学习方法(Personalized Federated Subgraph Learning with Embedding Alignment and Parameter Activation,FSL-EAPA).首先,根据客户端之间的相似性进行个性化模型聚合,降低数据非独立同分布对整体性能的影响.然后,引入参数选择性激活进行模型更新,应对子图结构特征的异质性.最后,利用更新后的客户端为各本地节点嵌入提供正负聚类表示,聚集同类局部节点.因此,FSL-EAPA能充分学习各节点的特征表示,较好地适应不同客户端之间的差异化数据分布.在真实基准图数据集上的实验表明FSL-EAPA的有效性,并且在不同场景下都能获得较高的分类精度.
基金supported by the National Natural Science Foundation of China(No.51825905).
文摘The reservoir landslide is typically characterized by high-speed movement of a particle-fluid mixture,and its flow and deposit mechanisms are complex.This paper presents the mechanism of submerged granular column collapse under different densities ambient fluids based on coupled computational fluid dynamics and discrete element method(CFD-DEM)analysis.Important fluid-particle interaction forces,such as the drag force and the buoyancy,are considered by exchanging interaction forces between the CFD and DEM computations.We focus on the flow and deposit characteristics of submerged granular column collapse,namely the runout distance,the tail end height,the particle velocity,the energy,and deposit morphology,which are analyzed qualitatively and quantitatively.The change in fluid field caused by submerged granular column collapse and the formation of eddies are also discussed.A relatively dense fluid can significantly hinder the motion of granular flow,but can improve the conversion efficiency of kinetic energy from the vertical to the horizontal direction.Moreover,the eddies caused by fluid turbulence erode the surface of the granular pile,which is especially marked in a high-density fluid.The findings can provide vital theoretical support for the flow and deposit characteristics of granular flow under fluid and offer insights for the study of reservoir landslides.
文摘Enhancing Autonomous Decision-Making (ADM) for unmanned combat aerial vehicle formations in beyond-visual-range air combat is pivotal for future battlefields, whereas the predominant reinforcement learning technique for ADM has been proven to be inadequately fitting complex tactical Unit Coordination (UC), limiting the integrity of decision-making for formations. This study proposes a knowledge-enhanced ADM method, with a focus on UC, to elevate formation combat effectiveness. The main innovation is integrating data mining technique with tactical knowledge mining and integration. Foremost, based on Frequent Event Arrangement Mining (FEAM) theory, a cross-channel UC knowledge mining method is designed by introducing data flow, which is capable of capturing dynamic coordinative action sequences. Then, a dual-mode knowledge integration method is proposed by employing the Graph Attention Network (GAT) and attenuated structural similarity, bolstering the interplay between autonomous UC tactics fitting and knowledge injection. The experimental results demonstrate that the algorithm surpasses the existing methods, providing more strategic maneuver trajectories and a win rate of more than 90% in different scenarios. The method is promising to augment the autonomous operational capabilities of unmanned formations and drive the evolution of combat effectiveness.
基金supported by the National Natural Science Foundation of China(Nos.82273824,31670359 and 82372111)the Liao Ning Revitalization Talents Program(No.XLYC 1905019)。
文摘Natural phytoconstituents exhibit distinct advantages in the management and prevention of inflammatory bowel disease(IBD),attributed to their robust biological activity,multi-target effects,and elevated safety profile.Although promising,the clinical application of phytoconstituents have been impeded by poor water solubility,low oral bioavailability,and inadequate colonic targeting.Recent advancements in nanotechnology has offered prospective avenues for the application of phytoconstituents in the treatment of IBD.A common strategy involves encapsulating or conjugating phytoconstituents with nanocarriers to enhance their stability,prolong intestinal retention,and facilitate targeted delivery to colonic inflammatory tissues.Furthermore,drawing inspiration from the self-assembling nanostructures that emerge during the decoction process of Chinese herbs,a variety of natural active compounds-based nanoassemblies have been developed for the treatment of IBD.They exhibit high drug-loading capacities and surmount the challenges posed by poor water solubility and low bioavailability.Notably,phyto-derived nanovesicles,owing to their unique structure and biological functions,can serve as therapeutic agents or novel delivery vehicles for the treatment of IBD.Consequently,this review provides an extensive overview of emerging phytoconstituent-derived nano-medicines/vesicles for the treatment of IBD,intending to offer novel insights for the clinical management of IBD.
基金supported by the Philosophy and Social Sciences Planning Foundation of Tianjin(Grant No.TJJX22-006).
文摘Background:With the proliferation of smartphones,adolescent mobile phone dependency has intensified,potentially precipitating academic burnout and other adverse outcomes among students.Contemporary study mostly examines college populations,resulting in a lack of exploration on the internal mechanisms connecting mobile phone dependency to academic burnout.In addition to analysing the chain-mediated effects of sleep quality and cognitive flexibility,this study sought to provide theoretical insights for prevention by applying the Conservation of Resources theory to examine the relationship between academic burnout and mobile phone dependency among middle and high school students.Methods:A cluster convenience sampling approach was adopted.Data were collected from 811 middle and high school students in Tianjin,China,using a paper-based questionnaire battery comprising the Mobile Phone Addiction Index,the Pittsburgh Sleep Quality Index,the Cognitive Flexibility Scale,and the Adolescent Academic Burnout Scale.Descriptive statistics and correlation analyses were conducted using SPSS 25.0.Chain mediation effects were examined via the PROCESS macro,with significance assessed using bias-corrected bootstrap 95%confidence intervals.Results:A statistically significant positive link exists between mobile phone dependency and academic burnout among middle and high school students(r=0.575,p<0.001).Dependence on mobile phones had a substantial direct impact on academic burnout(β=0.303,p<0.001).Chain mediation analysis revealed that mobile phone dependency had a substantial direct impact on academic burnout(β=0.303,p<0.001).Sleep quality and cognitive flexibility mediated the link between mobile phone dependency and academic burnout.These indirect pathways represent 44.18%of the total effect.Conclusions:Mobile phone dependency contributes to academic burnout amongmiddle and high school students,mediated sequentially by sleep quality and cognitive flexibility.These findings suggest a potential intervention strategy to mitigate academic burnout by targeting excessive mobile phone use,enhancing sleep hygiene,and implementing cognitive flexibility training.
基金Supported by the China Medical and Health Development Foundation,No.2022-HX-76China-Japan Friendship Hospital Highlevel Hospital Clinical Business Expenses Special Project,No.2023-NHLHCRF-YYPPLC-ZR-19.
文摘BACKGROUND Gut microbiota dysbiosis plays a central role in the pathogenesis of functional constipation(FC),but clinical treatment has shown uneven efficacy through methods of regulating intestinal flora.Most existing studies have concentrated on overall case-control comparisons,with limited stratification by age or constipation subtype.Knowledge of how these factors shape gut microbiota composition remains inadequate,constraining the development of effective personalized microbiota-based interventions.Ninety-two patients with FC completed questionnaires and underwent anorectal manometry and gastrointestinal transit tests;stool samples were collected for 16S rRNA gene sequencing.Stool samples alone were collected from 34 healthy controls.Patients with FC were categorized into age groups(young,middle-aged,and older)and classified into normal-transit constipation,slow-transit consti-pation(STC),defecatory disorder(DD),and mixed constipation subtypes.Gut mi-crobial compositions across age groups and constipation subtypes were com-pared,and their correlations with clinical parameters were investigated.RESULTS The young group demonstrated significantly higher anal resting and squeeze pressures than the middle-aged and the older groups.Microbial richness and diversity were substantially lower in the older group than in middle-aged and young groups.Gut microbiota in the young group was predominantly enriched in taxa increasing sphincter tone and inhibiting intestinal peristalsis;the older group featured abundances of short-chain fatty acid-producing,beneficial taxa.The middle-aged group showed an enrichment of pro-inflammatory and pathogenic bacteria.Microbial richness and diversity were higher in STC than in the DD group.Moreover,STC group was enriched in taxa associated with slower peristalsis;DD group showed enrichment of motility-promoting taxa.CONCLUSION Significant differences in microbial composition and function were observed across age groups and constipation subtypes in FC,suggesting underlying pathophysiological heterogeneity and providing a basis for precision diagnosis and treatment.
基金supported by the National Key Research and Development Program of China(Grant number:2019YFC1200700[No.32095])National Natural Science Foundation of China(L2124006,Institute internal number:90100)Central Government-Guided Local Science and Technology Development Funding Projects(Grant number:2024ZY0053)。
文摘Objective Human brucellosis is a serious public health concern in the Xilingol League,Inner Mongolia;however,the epidemic trends are unclear.Method In this study,Joinpoint regression analysis and spatiotemporal analysis were applied to investigate the epidemic evolution of human brucellosis.Result From 2004 to 2023,a total of 35,747 cases were reported,with an annual average of 1787.35cases and an annual average incidence rate of 176.04/100,000.The incidence increased from 173.96/100,000 in 2004 to 500.71/100,000 in 2009 and fluctuated to 61.43/100,000 in 2023.Three epidemic join points were observed in which the disease experienced an alternative rise and fall,peaking in 2009(APC=21.73,P>0.001)and 2020(APC=21.51,P>0.001).The disease showed a persistent decline trend in lentitude(AAPC=–5.30,P>0.001),suggesting challenges in disease control and a higher risk of rebound.The most cases were reported in Xilinhot City(n=4,777),followed by 4,391 in Sonid Left Banner,and 4,324 in Abaga Banner.Spatiotemporal analysis revealed two high clusters(CI and CII)from 2005 to 2012,the high cluster encompassing eight counties and shifting from north to south.Conclusion The present analysis highlights that human brucellosis has decreased significantly in the Xilingol League,but the epidemic is still severe;further implementation of a strict control program is necessary.
基金supported by the Natural Science Basic Research Program of Shaanxi(Program No.2024JC-YBMS-449)Project ZR2022QE233 supported by Shandong Provincial Natural Science Foundation.
文摘In exploring hypersonic propulsion,precooler combined engines require the development of lightweight,efficient,and compact heat exchangers(HX).As additive manufacturing technology continues to progress,triply periodic minimal surface(TPMS)structures,characterized by exceptionally high surface area to volume ratios and intricate geometric structures,have demonstrated superior heat transfer performance.This research examines the thermal-hydraulic(TH)behavior of FKS and Diamond as heat transfer structures under different Reynolds numbers through numerical simulations.The Nusselt number for FKS is 13.2%–17.6%higher than Diamond,while the friction factor for FKS is approximately 18.8%–29.3%higher.A detailed analysis of the internal flow mechanisms reveals that the flow pattern within TPMS can be summarized as cyclic convergence-separation-convergence.The fluid experiences constant disturbances from the structure in all spatial directions,generating strong turbulent mixing and large wall shear stresses,which significantly enhance heat transfer performance.
