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Secondary lymphoma develops in the setting of heart failure when treating breast cancer: A case report

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World Journal of Clinical Cases 2019年第12期7卷 1492-1498页

作者： Sen han tao An Wei-Ping Liu Yu-Qin song Jun Zhu Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education) Department of Lymphoma Peking University Cancer Hospital and Institute Beijing 100142 China Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Science and Peking Union Medical College Heart Failure Center Beijing 100142 China

BACKGROUND Cardiovascular side effects occur frequently during anti-cancer treatment, and there is a growing concern that they may lead to premature morbidity and death. CASE SUMMARY A 32-year-old woman was diagnosed with breast cancer. After comprehensive treatment with neoadjuvant chemotherapy, surgery, postoperative adjuvant chemotherapy, postoperative adjuvant radiotherapy, and endocrine therapy, her breast cancer was cured. However, heart failure associated with anti-cancer treatment presented, most probably related to chemotherapy containing anthracycline. After active treatment, her cardiac function returned to normal. Unfortunately, follow-up visits revealed a second primary malignancy, lymphoma. After multiple courses of chemotherapy combined with targeted therapy, her lymphoma acquired complete remission and no cardiotoxicity was observed again. Heart failure related to breast treatment may be reversible. CONCLUSION Using alternatives to anthracycline in patients with lymphoma who are at risk of cardiac failure may preserve cardiac function.

关键词： Breast cancer Chemotherapy Cardiac toxicity Heart failure Anthracycline Cardio-oncology Case report

Application of deep learning technique to the sea surface height prediction in the South China Sea

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Acta Oceanologica Sinica 2021年第7期40卷 68-76页

作者： tao song Ningsheng han Yuhang Zhu Zhongwei Li Yineng Li Shaotian Li Shiqiu Peng College of Computer and Communication Engineering China University of Petroleum(East China)Qingdao 266580China State Key Laboratory of Tropical Oceanography South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou 511458China Key Laboratory of Science and Technology on Operational Oceanography Chinese Academy of SciencesGuangzhou 511458China Guangxi Key Laboratory of Marine Disaster in the Beibu Gulf Bubei Gulf UniversityQinzhou 535011China Department of Artificial Intelligence Faculty of Computer SciencePolytechnical University of MadridBoadilla del Monte 28660MadridSpain

A deep-learning-based method,called ConvLSTMP3,is developed to predict the sea surface heights(SSHs).ConvLSTMP3 is data-driven by treating the SSH prediction problem as the one of extracting the spatial-temporal features of SSHs,in which the spatial features are“learned”by convolutional operations while the temporal features are tracked by long short term memory(LSTM).Trained by a reanalysis dataset of the South China Sea(SCS),ConvLSTMP3 is applied to the SSH prediction in a region of the SCS east off Vietnam coast featured with eddied and offshore currents in *** results show that ConvLSTMP3 achieves a good prediction skill with a mean RMSE of 0.057 m and accuracy of 93.4%averaged over a 15-d prediction *** particular,ConvLSTMP3 shows a better performance in predicting the temporal evolution of mesoscale eddies in the region than a full-dynamics ocean *** the much less computation in the prediction required by ConvLSTMP3,our study suggests that the deep learning technique is very useful and effective in the SSH prediction,and could be an alternative way in the operational prediction for ocean environments in the future.

关键词： deep learning sea surface height prediction convolutional operation long short term memory

Dual membership SVM method based on spectral clustering

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Journal of Systems Engineering and Electronics 2012年第2期23卷 225-232页

作者： Xiaodong song Liyan han School of Economics and Management Beihang UniversityBeijing 100191P.R.China

A new fuzzy support vector machine algorithm with dual membership values based on spectral clustering method is pro- posed to overcome the shortcoming of the normal support vector machine algorithm, which divides the training datasets into two absolutely exclusive classes in the binary classification, ignoring the possibility of ＂overlapping＂ region between the two training classes. The proposed method handles sample ＂overlap＂ effi- ciently with spectral clustering, overcoming the disadvantages of over-fitting well, and improving the data mining efficiency greatly. Simulation provides clear evidences to the new method.

关键词： dual membership model fuzzy support vector ma- chine (FSVM) spectral clustering sample "overlap".

Microstructural evolution during the progressive transformation-induced plasticity effect in a Fe-0.1C-5Mnmedium manganese steel

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 369-379页

作者： Mei Zhang Wenhao Li Yangfei Chen Yang Jiang Xiaofei Guo han Dong School of Materials Science and Engineering Shanghai UniversityShanghai 200444China State Key Laboratory of Advanced Special Steel Shanghai UniversityShanghai 200444China

The microstructural evolution of a cold-rolled and intercritical annealed medium-Mn steel(Fe-0.10C-5Mn)was investigated during uniaxial tensile ***-situ observations under scanning electron microscopy,transmission electron microscopy,and X-ray diffraction analysis were conducted to characterize the progressive transformation-induced plasticity process and associated fracture initiation *** findings were discussed with the local strain measurements via digital image *** results indicated that Lüders band formation in the steel was limited to 1.5%strain,which was mainly due to the early-stage martensitic phase transformation of a very small amount of the less stable large-sized retained austenite(RA),which led to localized stress concentrations and strain hardening and further retardation of *** small-sized RA exhibited high stability and progressively transformed into martensite and contributed to a stably extended Portevin-Le Chatelier *** volume fraction of RA gradually decreased from 26.8%to 8.2%prior to *** the late deformation stage,fracture initiation primarily occurred at the austenite/martensite and ferrite/martensite interfaces and the ferrite phase.

关键词： medium-Mn steel retained austenite progressive transformation-induced plasticity effect local strain fracture initiation

Correlations of Serological Markers with Development of Systemic Involvement in Adult Immunoglobulin A Vasculitis:A Retrospective Study of 259 Patients in Central China

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Current Medical Science 2021年第5期41卷 888-893页

作者： Ying-li NIE Ze-xing song Juan tao Xu han Liu YANG Department of Dermatology Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Wuhan Children's Hospital(Wuhan Maternal and Child Healthcare Hospital) Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430015China School of Public Health Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China

Objective:Although relatively rare,adult immunoglobulin A vasculitis(IgAV)can lead to severe complications and longer hospitalization,and result in poor prognosis,when compared to childhood ***,early identification and prevention for patients prone to develop systemic involvement are *** purpose of this study was to explore the correlations of common serological markers with the development of systemic involvement in adult ***:A retrospective analysis was performed for adult IgAV patients,who were hospitalized in Wuhan Union Hospital between January 2016 and December 2019.A total of 259 patients were enrolled,and the pre-treatment serological markers were comprehensively ***:In the present study,49.0% and 33.2% of patients developed renal and gastrointestinal(GI)involvement,***,the elevated levels of white blood cells count,D-Dimer(D-D),C-reactive protein(CRP)and neutrophil granulocyte ratio(NE%)>60% were significantly associated with GI involvement in the univariate analysis,while the decrease in high density lipoprotein level,and the elevated D-D and CRP levels were significantly associated with renal involvement(Phan the individual serological ***:The present study suggests that common serological markers have close correlations with systemic involvement in adult IgAV,and that the establishment of a prediction model for systemic involvement may be helpful in facilitating personalized therapeutic strategies and clinical management for IgAV patients.

关键词： adult gastrointestinal involvement immunoglobulin A vasculitis kidney serological marker

Brain region-specific roles of brain-derived neurotrophic factor in social stress-induced depressive-like behavior

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Neural Regeneration Research 2025年第1期20卷 159-173页

作者： Man han Deyang Zeng Wei Tan Xingxing Chen Shuyuan Bai Qiong Wu Yushan Chen Zhen Wei Yufei Mei Yan Zeng Brain Science and Advanced Technology Institute Wuhan University of Science and TechnologyWuhanHubei ProvinceChina Geriatric Hospital Affiliated to Wuhan University of Science and Technology WuhanHubei ProvinceChina School of Public Health Wuhan University of Science and TechnologyWuhanHubei ProvinceChina

Brain-derived neurotrophic factor is a key factor in stress adaptation and avoidance of a social stress behavioral *** studies have shown that brain-derived neurotrophic factor expression in stressed mice is brain region–specific,particularly involving the corticolimbic system,including the ventral tegmental area,nucleus accumbens,prefrontal cortex,amygdala,and *** how brain-derived neurotrophic factor participates in stress processing in different brain regions will deepen our understanding of social stress *** this review,we discuss the expression and regulation of brain-derived neurotrophic factor in stress-sensitive brain regions closely related to the pathophysiology of *** focused on associated molecular pathways and neural circuits,with special attention to the brain-derived neurotrophic factor–tropomyosin receptor kinase B signaling pathway and the ventral tegmental area–nucleus accumbens dopamine *** determined that stress-induced alterations in brain-derived neurotrophic factor levels are likely related to the nature,severity,and duration of stress,especially in the above-mentioned brain regions of the corticolimbic ***,BDNF might be a biological indicator regulating stress-related processes in various brain regions.

关键词： amygdala chronic mild stress chronic social defeat stress corticolimbic system depression hippocampus medial prefrontal cortex nucleus accumbens social stress models ventral tegmental area

The detection, extraction and parameter estimation of extreme-mass-ratio inspirals with deep learning

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 86-96页

作者： Qianyun Yun Wen-Biao han Yi-Yang Guo He Wang Minghui Du hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Shanghai Astronomical Observatory Chinese Academy of Sciences School of Physics and Astronomy Shanghai Jiao Tong University School of Astronomy and Space Science University of Chinese Academy of Sciences Taiji Laboratory for Gravitational Wave Universe (Beijing/hangzhou) University of Chinese Academy of Sciences Lanzhou Center for Theoretical Physics Key Laboratory of Theoretical Physics of Gansu Province Key Laboratory of Quantum Theory and Applications of MoE Lanzhou University Institute of Theoretical Physics & Research Center of Gravitation Lanzhou University International Centre for Theoretical Physics Asia-Pacific (ICTP-AP) University of Chinese Academy of Sciences (UCAS) Center for Gravitational Wave Experiment National Microgravity Laboratory Institute of Mechanics Chinese Academy of Sciences

One of the primary goals of space-borne gravitational wave detectors is to detect and analyze extreme-mass-ratio inspirals(EMRIs). This task is particularly challenging because EMRI signals are complex, lengthy, and faint. In this work, we introduce a2-layer convolutional neural network(CNN) approach to detect EMRI signals for space-borne detectors, achieving a true positive rate(TPR) of 96.9% at a 1% false positive rate(FPR) for signal-to-noise ratio(SNR) from 50 to 100. Especially, the key intrinsic parameters of EMRIs such as the mass, spin of the supermassive black hole(SMBH) and the initial eccentricity of the orbit can also be inferred directly by employing a neural network. The mass and spin of the SMBH can be determined at 99% and 92% respectively. This will greatly reduce the parameter spaces and computing cost for the following Bayesian parameter *** model also has a low dependency on the accuracy of the waveform model. This study underscores the potential of deep learning methods in EMRI data analysis, enabling the rapid detection of EMRI signals and efficient parameter estimation.

关键词： gravitational wave EMRIs deep-learing

Microstructure,Texture Evolution,and Strain Hardening Behaviour of As-extruded Mg-Zn and Mg-Y Alloys under Compression

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Journal of Wuhan University of Technology(Materials Science) 2023年第2期38卷 430-439页

作者： han Xiuzhu XIAO tao YU Zijian Beijing Institute of Spacecraft System Engineering Beijing100094China Faculty of Materials and Manufacturing Beijing University of TechnologyBeijing100124China

Microstructure,texture evolution and strain hardening behaviour of the Mg-1Y and Mg-1Zn(wt%)alloys were investigated under room temperature *** characterization was performed by optical microscopy,scanning electron microscopy,electron back scattered diffraction and transmission electron *** experimental results show that Mg-1Zn alloy exhibits conventional three-stage strain hardening curves,while Mg-1Y alloy exhibits novel six-stage strain hardening *** Mg-1Y alloy,rare earth texture leads to weak tensile twinning activity in compression and consequently results in a moderate evolution to***,inefficient tensile twinning activity and weak slip-twinning interaction give rise to excellent ductility and high hardening capacity but low strain hardening *** Mg-1Zn alloy,basal texture leads to pronounced tensile twinning activity in compression and consequently results in rapid evolution to*** intense tensile twinning activity and strong slip-twinning interaction lead to high strain hardening rate but poor ductility and low hardening capacity.

关键词： magnesium alloy texture rare earth twinning strain hardening behavior

Rényi divergence on learning with errors

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Science China(Information Sciences) 2020年第9期63卷 124-139页

作者： Yang tao han WANG Rui ZhanG State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of Sciences School of Cyber Security University of Chinese Academy of Sciences

Many lattice-based schemes are built from the hardness of the learning with errors problem, which naturally comes in two flavors: the decision LWE and search LWE. In this paper, we investigate the decision LWE and search LWE by Rényi divergence respectively and obtain the following results: For decision LWE,we apply RD on LWE variants with different error distributions(i.e., center binomial distribution and uniform distribution, which are frequently used in the NIST PQC submissions) and prove the pseudorandomness in theory. As a by-product, we extend the so-called public sampleability property and present an adaptively public sampling property to the application of Rényi divergence on more decision problems. As for search LWE, we improve the classical reduction proof from Gap SVP to LWE. Besides, as an independent interest,we also explore the intrinsic relation between the decision problem and search problem.

关键词： Rényi divergence learning with errors decision problems search problems post-quantum cryptography