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Whole breast ultrafractionation radiotherapy after breast-conserving surgery in early breast cancer: A single-center, prospective, observational study from China

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Malignancy Spectrum 2024年第2期1卷 113-122页

作者： Rui-Zhi Zhao Cheng huang Tian-Lan Tang Gui-Qing Shi Si-Lin Chen Yu-Ping Lin Ying Wang Liu-Qing Jiang Jin-hua Chen Chun-Sen Xu Fang-Meng Fu zhong-hua han Shun-Guo Lin Chuan Wang Yong Yang Department of Radiation Oncology Fujian Medical University Union HospitalFujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors(Fujian Medical University)Clinical Research Center for Radiology and Radiotherapy of Fujian Province(DigestiveHematological and Breast Malignancies)FuzhouFujianChina Department of Follow-Up Center Fujian Medical University Union HospitalFuzhouFujianChina Department of Breast Surgery Fujian Medical University Union HospitalFuzhouFujianChina

Objective:This single-center,prospective,observational study was designed to investigate the toxicities,patient-reported outcome(PRO),and dosimetric analysis of whole breast ultrafractionation radiotherapy(RT)after breast-conserving surgery(BCS)in early breast cancer(BC).Patients and methods:Patients diagnosed with BC stage I,II and treated with BCS were enrolled.A dose of 26 Gray(Gy)in five fractions was prescribed to the whole breast and tumor *** endpoints included toxicities,PRO,and dosimetric *** was measured by the European Organization for Research and Treatment of Cancer general quality of life questionnaire(EORTC QLQ-C30)and the BC-specific questionnaire(EORTC QLQ-BR23)***:Between January 2022 and June 2023,62 female patients were *** median age was 45 *** patients(83.9%)were diagnosed with pathological stage I *** median planning target volume(PTV)was 456.4 *** minimum,maximum,and mean doses,and D95(dose of PTV irradiated volume more than 95%)to PTV were 20.2,28.8,27.2,and 26.3 Gy,*** median mean lung dose and percentage lung volume receiving 8 Gy(V8)were 3.6 Gy and 13.4%,*** median mean heart dose,V1.5(percentage of organ volume irradiated with 1.5 Gy or higher),and V7(percentage of organ volume irradiated with 7 Gy or higher)were 0.6 Gy,6.8%,and 0.4%,*** effects before RT showed no obvious differences compared to that post *** toxicities of grade 3 or higher *** patients had asymptomatic radiation pneumonia(grade 1),and 12 patients had radiation dermatitis(grade 1).No factor was significantly related to radiation dermatitis or radiation *** the EORTC QLQ-C30 and QLQ-BR23 questionnaires,all function and symptom scores before RT had no significant differences compared with that after RT,1−2 months after RT,and 3−4 months after *** RT did not worsen *** 1-year crude local control was 100%.Conclusion:Whole br

关键词： ultrafractionation radiotherapy breast cancer breast-conserving surgery toxicities patient-reported outcome

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Perioperative artificial nutrition in malnourished gastrointestinal cancer patients

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World Journal of Gastroenterology 2006年第15期12卷 2441-2444页

作者： Guo-Hao Wu zhong-hua Liu Zhao-han Wu Zhao-Guang Wu Department of General Surgery Z-hongshan-HospitalFudan University Shanghai 200032 China

AIM： To investigate the potential role of perioperative nutrition in reducing complications and mortality in malnourished gastrointestinal cancer patients. METHODS： Four hundred and sixty-eight elective moderately or severely malnourished surgical patients with gastric or colorectal cancers defined by the subjective global assessment （SGA） were randomly assigned to 7 d preoperative and 7 d postoperative parenteral or enteral nutrition vs a simple control group. The nutrition regimen included 24.6±5.2 kcal /kg per d non-protein and 0.23±0.04 g nitrogen /kg per d. Control patients did not receive preoperative nutrition but received 600±100 kcal non-protein plus or not plus 62 ± 16 g crystalline amino acids postoperatively. RESULTS： Complications occurred in 18.3% of the patients receiving nutrition and in 33.5% of the control patients （P= 0.012）. Fourteen patients died in the control group and 5 in those receiving nutrition. There were significant differences in the mortality between the two groups （2.1% vs 6.0%, P=0.003）. The total length of hospitalization and postoperative stay of control patients were significantly longer （29 vs 22 d, P=0.014） than those of the studied patients （23 vs 12 d, P= 0.000）. CONCLUSION： Perioperative nutrition support is beneficial for moderately or severely malnourished gastrointestinal cancer patients and can reduce surgical complications and mortality.

关键词： Malnutrition Perioperative nutrition Parenteral nutrition Enteral nutrition Mortality Complications

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Does hyoscine butylbromide really improve polyp detection during colonoscopy? A meta-analysis of randomized controlled trials

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World Journal of Gastroenterology 2014年第22期20卷 7034-7039页

作者： Pei-Jing Cui Jing Yao hua-zhong han Yi-Jun Zhao Jun Yang Department of Geriatrics Ruijin HospitalShanghai Jiao Tong University School of Medicine Department of Surgery Sixth People’s HospitalShanghai Jiao Tong University

AIM: To investigate the benefits of hyoscine butylbromide in polyp detection during colonoscopy by a meta-analysis of available randomized controlled trials (RCTs).

关键词： Hyoscine butylbromide Polyp detection Adenoma detection Colonoscopy

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Biliary stenting with or without sphincterotomy for malignant biliary obstruction:A meta-analysis

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World Journal of Gastroenterology 2014年第38期20卷 14033-14039页

作者： Pei-Jing Cui Jing Yao Yi-Jun Zhao hua-zhong han Jun Yang Department of Geriatrics Ruijin HospitalShanghai Jiao Tong University School of Medicine Department of Surgery Sixth People’s HospitalShanghai Jiao Tong University

AIM: To investigate the benefits of endoscopic sphincterotomy (EST) before stent placement by meta-analysis of randomized controlled trials (RCTs).

关键词： Biliary stent Endoscopic sphincterotomy Endoscopic retrograde cholangiopancreatography Malignant biliary obstruction

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High-dimensional aerodynamic data modeling using a machine learning method based on a convolutional neural network

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Advances in Aerodynamics 2022年第1期4卷 845-875页

作者： Bo-Wen Zan zhong-hua han Chen-Zhou Xu Ming-Qi Liu Wen-Zheng Wang Institute of Aerodynamic and Multidisciplinary Design Optimization National Key Laboratory of Science and Technology On Aerodynamic Design and ResearchSchool of AeronauticsNorthwestern Polytechnical UniversityXi’an710072China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province School of Aeronautics and AstronauticsUniversity of Electronic Science and Technology of ChinaChengdu611731China

Modeling high-dimensional aerodynamic data presents a significant challenge in aero-loads prediction, aerodynamic shape optimization, flight control, and simulation. This article develops a machine learning approach based on a convolutional neural network (CNN) to address this problem. A CNN can implicitly distill features underlying the data. The number of parameters to be trained can be significantly reduced because of its local connectivity and parameter-sharing properties, which is favorable for solving high-dimensional problems in which the training cost can be prohibitive. A hypersonic wing similar to the Sanger aerospace plane carrier wing is employed as the test case to demonstrate the CNN-based modeling method. First, the wing is parameterized by the free-form deformation method, and 109 variables incorporating flight status and aerodynamic shape variables are defined as model input. Second, more than 7000 sample points generated by the Latin hypercube sampling method are evaluated by performing computational fluid dynamics simulations using a Reynolds-averaged Navier-Stokes flow solver to obtain an aerodynamic database, and a CNN model is built based on the observed data. Finally, the well-trained CNN model considering both flight status and shape variables is applied to aerodynamic shape optimization to demonstrate its capability to achieve fast optimization at multiple flight statuses.

关键词： Aerodynamic data modeling High-dimensional problem Machine learning Convolutional neural network Computational fluid dynamics

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Effect of Mo and cold forging deformation on strength and ductility of cobalt-based alloy L605

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Journal of Iron and Steel Research International 2024年第7期31卷 1811-1823页

作者： zhong-lin Wang Zhi-hua Gong Quan Li han-sheng Bao School of Materials and Metallurgy Inner Mongolia University of Science and TechnologyBaotou 014017Inner MongoliaChina Institute of Special Steels Central Iron and Steel Research Institute Co.Ltd.Beijing 100081China

Mo element was added to cobalt-based alloy L605,and cold forging deformation was *** effects of the addition and cold forging deformation on the microstructure and mechanical properties of the alloy were studied by thermodynamic calculation,electron backscatter diffraction,transmission electron microscopy,and X-ray *** stacking fault energy(SFE)of the alloy decreased after the addition,and the formation of stacking faults and intersections were promoted to improve the strength and *** tensile strength of the alloy with Mo increased from 1190 to 1702 MPa after 24%cold deformation,producing significant work *** strengthening mechanism is strain-induced martensitic transformation(SIMT)and deformation *** alloy,combined with Mo and after 24%deformation,had both high strength and ductility in comparison with the original cobalt-based alloy *** is attributed to the lower SFE which caused the increase in stacking fault *** the tensile process,theε-hcp phase was easily generated at the stacking fault to reduce the stress concentration and increase the *** SIMT by adjusting the density of stacking faults can improve the mechanical properties of cobalt-based ***ε-hcp phase,the interaction between deformation twins and dislocations,and the interaction between e-hcp phases during cold forging deformation caused local stress concentration,lowering ductility and toughness.

关键词： Cobalt-based alloy-Stacking fault energy Strain-induced martensitic transformation Deformation twin Cold forging deformation

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Cardiovascular computed tomography in cardiovascular disease:An overview of its applications from diagnosis to prediction

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Journal of Geriatric Cardiology 2024年第5期21卷 550-576页

作者： zhong-hua SUN Discipline of Medical Radiation Science Curtin Medical SchoolCurtin UniversityPerthAustralia Curtin Health Innovation Research Institute(CHIRI) Curtin UniversityPerth 6012Australia

Cardiovascular computed tomography angiography(CTA)is a widely used imaging modality in the diagnosis of cardiovascular *** in CT imaging technology have further advanced its applications from high diagnostic value to minimising radiation exposure to *** addition to the standard application of assessing vascular lumen changes,CTA-derived applications including 3D printed personalised models,3D visualisations such as virtual endoscopy,virtual reality,augmented reality and mixed reality,as well as CT-derived hemodynamic flow analysis and fractional flow reserve(FFRCT)greatly enhance the diagnostic performance of CTA in cardiovascular *** widespread application of artificial intelligence in medicine also significantly contributes to the clinical value of CTA in cardiovascular *** value of CTA has extended from the initial diagnosis to identification of vulnerable lesions,and prediction of disease extent,hence improving patient care and *** this review article,as an active researcher in cardiovascular imaging for more than 20 years,I will provide an overview of cardiovascular CTA in cardiovascular *** is expected that this review will provide readers with an update of CTA applications,from the initial lumen assessment to recent developments utilising latest novel imaging and visualisation *** will serve as a useful resource for researchers and clinicians to judiciously use the cardiovascular CT in clinical practice.

关键词： diagnosis cardiovascular prediction

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Triple reverse order law for the Drazin inverse

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Applied Mathematics(A Journal of Chinese Universities) 2024年第1期39卷 55-68页

作者： WANG hua zhong Cheng-cheng College of Sciences Inner Mongolia University of TechnologyHohhot 010051China College of Engineering University of Jinan Quancheng CollegeYantai 265600China

In this paper,we investigate the reverse order law for Drazin inverse of three bound-ed linear operators under some commutation ***,the Drazin invertibility of sum is also obtained for two bounded linear operators and... 详细信息

关键词： Drazin inverse reverse order law space decomposition

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Hyperspectral image super resolution using deep internal and self-supervised learning

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CAAI Transactions on Intelligence Technology 2024年第1期9卷 128-141页

作者： Zhe Liu Xian-hua han Graduate School of Science and Technology for Innovation Yamaguchi UniversityYamaguchiJapan Graduate School of Artificial Intelligence and Science Rikkyo UniversityTokyoJapan

By automatically learning the priors embedded in images with powerful modelling ca-pabilities,deep learning-based algorithms have recently made considerable progress in reconstructing the high-resolution hyperspectral(HR-HS)*** previously collected large-amount of external data,these methods are intuitively realised under the full supervision of the ground-truth ***,the database construction in merging the low-resolution(LR)HS(LR-HS)and HR multispectral(MS)or RGB image research paradigm,commonly named as HSI SR,requires collecting corresponding training triplets:HR-MS(RGB),LR-HS and HR-HS image simultaneously,and often faces dif-ficulties in *** learned models with the training datasets collected simultaneously under controlled conditions may significantly degrade the HSI super-resolved perfor-mance to the real images captured under diverse *** handle the above-mentioned limitations,the authors propose to leverage the deep internal and self-supervised learning to solve the HSI SR *** authors advocate that it is possible to train a specific CNN model at test time,called as deep internal learning(DIL),by on-line preparing the training triplet samples from the observed LR-HS/HR-MS(or RGB)images and the down-sampled LR-HS ***,the number of the training triplets extracted solely from the transformed data of the observation itself is extremely few particularly for the HSI SR tasks with large spatial upscale factors,which would result in limited reconstruction *** solve this problem,the authors further exploit deep self-supervised learning(DSL)by considering the observations as the unlabelled training ***,the degradation modules inside the network were elaborated to realise the spatial and spectral down-sampling procedures for transforming the generated HR-HS estimation to the high-resolution RGB/LR-HS approximation,and then the reconstruction errors of the observations were formulated for mea

关键词： computer vision deep learning deep neural networks hyperspectral image enhancement

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Side Information-Based Stealthy False Data Injection Attacks Against Multi-Sensor Remote Estimation

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 1054-1056页

作者： Haibin Guo zhong-hua Pang Chao Li the Key Laboratory of Fieldbus Technology and Automation of Beijing North China University of TechnologyBeijing 100144China

Dear Editor,This letter investigates a novel stealthy false data injection(FDI)attack scheme based on side information to deteriorate the multi-sensor estimation performance of cyber-physical systems(CPSs).Compared with most existing works depending on the full system knowledge,this attack scheme is only related to attackers'sensor and physical process *** design principle of the attack signal is derived to diverge the system estimation ***,it is proven that the proposed attack scheme can successfully bypass the residual-based ***,all theoretical results are verified by numerical simulation.

关键词： estimation scheme system

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