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Design of acceleration control schedule for adaptive cycle engine based on direct simulation model

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Chinese Journal of Aeronautics 2024年第6期37卷 307-318页

作者： Keran song Linyuan JIA Yuchun CHEN Tian tan School of Power and Energy Northwestern Polytechnical UniversityXi’an 710072China

To design the optimum acceleration control schedule for the Adaptive Cycle Engine(ACE)in the full flight envelope,this paper establishes a direct simulation model of the ACE transient *** this model,geometric parameters are used to replace the component state *** corresponding relationship between geometric parameters and component state parameters is determined by sensitivity *** geometric variables are controlled when the geometric adjustment speed exceeds the limit,and at the same time the corresponding component state parameters are *** gradient optimization algorism is used to optimize the ground acceleration process of ACE,and the control schedule in terms of operating point of compression components and corrected acceleration rate is used as the full-envelope acceleration control schedule based on the similarity *** acceleration control schedules of the triple-bypass mode and the double-bypass mode are designed in this *** acceleration processes under various flight conditions are simulated using the acceleration control *** with the acceleration process with the linear geometric adjustment schedule,the acceleration performance of ACE is improved by the acceleration control schedule,with the impulse of the acceleration process of the triple-bypass mode being increased by 8.7%-12.3% and the impulse of the double-bypass mode acceleration process being increased by 11.8%-14.1%.

关键词： Adaptive Cycle Engine(ACE) Direct simulation method Acceleration Control schedule Full flight envelope

Transfer of Highest Weight Modules and Small Unipotent Representations

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Acta Mathematica Sinica,English Series 2024年第3期40卷 772-791页

作者： hai An HE Jing song HUANG Kayue Daniel WONG Department of Mathematics College of SciencesShanghai UniversityShanghai 200444P.R.China Newtouch Center for Mathematics of Shanghai University Shanghai 200444P.R.China Mathematics Research Center School of Science and EngineeringThe Chinese University of Hong KongShenzhen 518172P.R.China

We study the transfer between small special unipotent representations for all equal rank real forms of type E_(6) and E_(7). As a consequence, one can verify these modules are unitarity using the results of Wallach an... 详细信息

关键词： Unipotent representations Wallach representations Transfer of unitary modules

XGCN:a library for large-scale graph neural network recommendations

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Frontiers of Computer Science 2024年第3期18卷 247-249页

作者： Xiran song Hong HUANG Jianxun LIAN hai JIN National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabCluster and Grid Computing LabSchool of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China Microsoft Research Asia Beijing 100080China

1 Introduction Graph Neural Networks(GNNs)have gained widespread adoption in recommendation systems,and nowadays there is a pressing need to effectively manage large-scale graph data[1].When it comes to large graphs,GNNs may encounter the scalability issue stemming from their multi-layer messagepassing ***,scaling GNNs has emerged as a crucial research area in recent years,with numerous scaling strategies being proposed.

关键词： scaling gained operations

Computed tomography-based radiomics combined with machine learning allows differentiation between primary intestinal lymphoma and Crohn's disease

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World Journal of Gastroenterology 2024年第25期30卷 3155-3165页

作者： Meng-Jun Xiao Yu-Teng Pan Jia-He tan hai-Ou Li hai-Yan Wang Department of Radiology Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinan 250021Shandong ProvinceChina Medical Science and Technology Innovation Center Shandong First Medical University&Shandong Academy of Medical SciencesJinan 250000Shandong ProvinceChina University of California DavisCA 95616United States Qilu Hospital Cheeloo College of MedicineShandong UniversityJinan 250012Shandong ProvinceChina

BACKGROUND Due to similar clinical manifestations and imaging signs,differential diagnosis of primary intestinal lymphoma(PIL)and Crohn's disease(CD)is a challenge in clinical *** To investigate the ability of radiomics combined with machine learning methods to differentiate PIL from *** We collected contrast-enhanced computed tomography(CECT)and clinical data from 120 patients form center 1.A total of 944 features were extracted singlephase images of CECT *** the last absolute shrinkage and selection operator model,the best predictive radiographic features and clinical indications were *** from 54 patients were collected at center 2 as an external validation set to verify the robustness of the *** area under the receiver operating characteristic curve,accuracy,sensitivity and specificity were used for *** A total of five machine learning models were built to distinguish PIL from *** on the results from the test group,most models performed well with a large area under the curve(AUC)(>0.850)and high accuracy(>0.900).The combined clinical and radiomics model(AUC=1.000,accuracy=1.000)was the best model among all *** Based on machine learning,a model combining clinical data with radiologic features was constructed that can effectively differentiate PIL from CD.

关键词： Primary intestinal lymphoma Crohn's disease Radiomics Machine learning Diagnosis

Transformer-Based Cloud Detection Method for High-Resolution Remote Sensing Imagery

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Computers, Materials & Continua 2024年第7期80卷 661-678页

作者： Haotang tan song Sun Tian Cheng Xiyuan Shu Key Laboratory of GIS Application Research School of Geography and TourismChongqing Normal UniversityChongqing401331China College of Computer and Information Science Chongqing Normal UniversityChongqing401331China Department of Military Installations Army Logistics AcademyChongqing401331China

Cloud detection from satellite and drone imagery is crucial for applications such as weather forecasting and *** the limitations of conventional convolutional neural networks,we propose an innovative transformer-based *** method leverages transformers,which are adept at processing data sequences,to enhance cloud detection ***,we introduce a Cyclic Refinement Architecture that improves the resolution and quality of feature extraction,thereby aiding in the retention of critical details often lost during cloud *** extensive experimental validation shows that our approach significantly outperforms established models,excelling in high-resolution feature extraction and precise cloud *** integrating Positional Visual Transformers(PVT)with this architecture,our method advances high-resolution feature delineation and segmentation ***,our research offers a novel perspective for surmounting traditional challenges in cloud detection and contributes to the advancement of precise and dependable image analysis across various domains.

关键词： Cloud transformer image segmentation remotely sensed imagery pyramid vision transformer

Study of Clinical Practical Model of Urinary System Injury

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Chinese Medical Journal 2015年第7期128卷 928-932页

作者： Gang Li Yuan-Yi Wu Wei-Jun Fu Ying-Xin Jia Bing-Hong Zhang Yong-De Xu Zhong-Xin Wang Jian-Guo Shi hai-song tan Ye-Yong Qian Bin-Yi Shi Chao-Hua Zhang Xiao-Xiong Wang Institute of Organ Transplant of Chinese PLA 309 Hospital of PLA Beijing 100091 China Department of Urology The First Affiliated Hospital of Chinese PLA General Hospital Beijing 100048 China Department of Urology Hainan Branch of Chinese PLA General Hospital Sanya Hainan 572013 China Military Department of the Academy of Armoured Force Engineering Beijing 100072 China Department of Urinary General Hospital of Chengdu Military Command Chengdu Sichuan 610083 China Andrology Center Peking University First Hospital Peking University Beijing 100034 China Department of Urology Chinese PLA General Hospital Beijing 100853 China Department of Urology Baoding First Hospital Baoding 071000 China

Background： In order to improve the clinical treatment level of urinary system injury, it is necessary to build tip an animal model of urinary system wound, which is not only analogous to real clinical practice, but also simple and practical. Methods： We have developed the third generation of firearm fragment wound generator based on the first and the second producer. The best explosive charge of the blank cartridge was selected by gradient powder loading experiments. The firearm fragment injuries were made to the bulbous urethra of 10 New Zealand male rabbits. One week preoperatively and 2, 4 and 8 weeks postoperatively, all the animals underwent urethroscopy and urethrography. At 2, 4 and 8 weeks postoperatively, two animals were randomly selected and killed, and the urethra was cut off for pathological examination. Results： The shooting distance of the third generation of firearm fragment wound generator is 2 cm. The best explosive charge of the blank cartridge is 1 g ofnitrocotton. All rabbits survived the procedures and stayed alive until they were killed, h!juries were limited to bulbous urethra and distal urethra. Round damaged areas, 1-1.5 cm in length, on the ventral wall were observed. Ureteroscopy restdts showed that canal diameter gradually shrank by over 50% in 9 rabbits. The rate of success was 90%. Urethrography result noted that a 11.3 cm stricture was formed at the bulbous urethra. Histology results of injured stricture urethra showed that fibrous connective tissue hyperplasia and hyaline degeneration caused further stricture in the canal. Conclusions： The third generation of firearm fragment wound generator imitates the bullet firing process and is more accurate and repeatable. The corresponding rabbit model of traumatic complex urethral stricture simulates the real complex clinical conditions. This animal model provides a standardized platform for clinical researches on treating traumatic injuries to the urinary system.

关键词： Animal Injury Models Urogenital System, Wound Generator

Preparation and properties of ZrO_(2)-strengthened porous mullite insulation materials using Y_(2)O_(3) additive

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Journal of Iron and Steel Research International 2024年第6期31卷 1514-1521页

作者： Wang-zhi Yu Yi-hong Shi Ping Liu Yong-wan Wu Cheng-hao song Xian-gong Deng Xiang Ding song-lin Ran Yi Zhang hai-jun Zhang hai-liang Deng Advanced Ceramics Research Center School of Materials Science and EngineeringAnhui University of TechnologyMa'anshan 243002AnhuiChina The State Key Laboratory of Refractories and Metallurgy Wuhan University of Science and TechnologyWuhan 430081HubeiChina

ZrO_(2)-strengthened porous mullite insulation materials were prepared by foaming technology utilizing ZrSiO_(4) and Al_(2)O_(3) as primary materials and Y_(2)O_(3) as an *** effects of Y_(2)O_(3) contents on the phase composition,microstructure,mechanical properties,and heat conductivity of the porous mullite insulation materials were investigated.A suitable Y_(2)O_(3) content could promote phase transition of monoclinic ZrO_(2)(m-ZrO_(2))to tetragonal ZrO_(2)(t-ZrO_(2)),reduce pore size,and improve the strengths of as-prepared *** cold crushing strength and bending strength of as-prepared specimens with a 119µm spherical pore size using 6 wt.%Y_(2)O_(3) were 35.2 and 13.0 MPa,respectively,with a heat conductivity being only 0.248 W/(m K).

关键词： Porous mullite insulation material Zirconium oxide Y_(2)O_(3) Mechanical property Heat conductivity

Precise control of page cache for containers

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Frontiers of Computer Science 2024年第2期18卷 17-30页

作者： Kun WANG song WU Shengbang LI Zhuo HUANG Hao FAN Chen YU hai JIN National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabCluster and Grid Computing Lab School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China

Container-based virtualization isbecoming increasingly popular in cloud computing due to its efficiency and *** isolation is a fundamental property of *** works have indicated weak resource isolation could cause significant performance degradation for containerized applications and enhanced resource ***,current studies have almost not discussed the isolation problems of page cache which is a key resource for *** leverage memory cgroup to control page cache ***,existing policy introduces two major problems in a container-based ***,containers can utilize more memory than limited by their cgroup,effectively breaking memory ***,the Os kernel has to evict page cache to make space for newly-arrived memory requests,slowing down containerized *** paper performs an empirical study of these problems and demonstrates the performance impacts on containerized *** we propose pCache(precise control of page cache)to address the problems by dividing page cache into private and shared and controlling both kinds of page cache separately and *** do so,pCache leverages two new technologies:fair account(f-account)and evict on demand(EoD).F-account splits the shared page cache charging based on per-container share to prevent containers from using memory for free,enhancing memory *** EoD reduces unnecessary page cache evictions to avoid the performance *** evaluation results demonstrate that our system can effectively enhance memory isolation for containers and achieve substantial performance improvement over the original page cache management policy.

关键词： page cache memory cgroup container isolation cloud computing

Investigating the causal link between gut microbiota and dry age-related macular degeneration:a bidirectional Mendelian randomization study

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International Journal of Ophthalmology(English edition) 2024年第9期17卷 1723-1730页

作者： hai-Yan Huang Jing Wang Bo Qin Yao tan Clinical Medical College of Guizhou Medical University Guiyang 550004Guizhou ProvinceChina Postdoctoral Station of Clinical Medicine The Third Xiangya HospitalCentral South UniversityChangsha 410000Hunan ProvinceChina The Third Xiangya Hospital Central South UniversityChangsha 410000Hunan ProvinceChina

AIM:To assess the causal link between 211 gut microbiota(GM)taxa and dry age-related macular degeneration(dAMD)***:Mendelian randomization using instrumental factors taken from a genome-wide association study(GWAS)were *** variance weighted(IVW)analysis and sensitivity analysis were performed on the FinnGen project,which included 5095 cases and 222590 ***:The IVW analysis showed substantial genusand family-level relationships between GM taxa and dAMD ***,the family Peptococcaceae(P=0.03),genus Bilophila(P=3.91×10^(-3)),genus Faecalibacterium(P=6.55×10^(-3)),and genus Roseburia(P=0.04)were linked to a higher risk of developing dAMD,while the genus Candidatus Soleaferrea(P=7.75×10^(-4)),genus Desulfovibrio(P=0.04)and genus Eubacterium ventriosum group(P=0.04)exhibited a protective effect against *** significant causal relationships were observed at higher taxonomic ***,in the reverse IVW analysis,no meaningful causal effects of the 7 GM ***:These findings give support for the gutretina axis participation in dAMD and shed light on putative underlying *** on the connection between GM and dAMD have not yet revealed the underlying mechanism.

关键词： dry age-related macular degeneration gut microbiota mendelian randomization gut-retina axis genome-wide association study