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New cheaper human papilloma virus mass screening strategy reduces cervical cancer incidence in Changsha city:A clinical trial

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World Journal of Clinical Oncology 2024年第12期15卷 1491-1500页

作者： Yue-E Zu Si-Feng Wang Xing-Xing Peng yong-chun wen Xue-Xiang Shen Xiao-Lan Wang wen-Bo Liao Ding Jia Ji-Yang Liu Xiang-wen Peng Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control Changsha Hospital for Maternal&Child Health CareHunan Normal UniversityChangsha 410001Hunan ProvinceChina Changsha Hospital for Maternal&Child Health Care Affiliated Hunan Normal UniversityChangsha 410001Hunan ProvinceChina Department of Administrative Office Hunan Provincial Health CommissionChangsha 410001Hunan ProvinceChina

BACKGROUND Cervical cancer is the second leading cause of death in women worldwide,second only to breast *** 80%of women have been infected with human papillomavirus(HPV)in their *** screening and treatment are effective means of preventing cervical cancer,but due to economic reasons,many parts of the world do not have free screening programs to protect women’s *** To increase HPV cervical cancer screening in Changsha and reduce the incidence of cervical *** Cervical cancer screening included gynecological examination,vaginal secretion examination and HPV high-risk typing *** cytology examination(ThinPrep cytology test)was performed for individuals who test positive for HPV types other than 16 and *** colposcopy examination was performed for HPV16 and 18 positive individuals,as well as for those who were positive for ThinPrep cytology *** the results of vaginal colposcopy examination were abnormal,histopathological examination was *** conducted a cost-benefit analysis after 4 *** From 2019 to 2022,523437 women aged 35-64 years in Changsha city were screened and 73313 were positive,with a 14%positive *** detection rate of precancerous lesions of cervical cancer was 0.6%and the detection rate of cervical cancer was 0.037%.Among 311212 patients who underwent two cancers examinations,the incidence rate was reduced by more than half in the second *** average screening cost per woman was 120 *** average cost of detecting early cases was 10619 RMB,with an early detection cost coefficient of *** Our screening strategy was effective and cost-effective,making it valuable for early diagnosis and treatment of cervical *** is worth promoting in economically limited areas.

关键词： Cervical cancer screening Human papillomavirus ThinPrep cytology test Cost-effective New cheaper screening strategy

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纳米银/伊利石复合材料的制备及其性能研究

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无机材料学报 2018年第5期33卷 570-576页

作者：王树江杨永恒温春阳张国馗苑春晖长春工业大学化学工程学院长春130012

采用水热合成法对伊利石进行改性,再通过微波辅助和紫外灯还原法制备了高载银量的纳米银/伊利石复合材料。利用X射线衍射(XRD)、红外(FT-IR)、扫描电子显微镜(SEM)、透射电子显微镜(TEM)和抑菌圈试验等方法研究了复合材料的结构、形貌... 详细信息

采用水热合成法对伊利石进行改性,再通过微波辅助和紫外灯还原法制备了高载银量的纳米银/伊利石复合材料。利用X射线衍射(XRD)、红外(FT-IR)、扫描电子显微镜(SEM)、透射电子显微镜(TEM)和抑菌圈试验等方法研究了复合材料的结构、形貌及抑菌性能。结果表明,改性后伊利石具有较高的载银量,最高可达27.66%,而且还原的纳米银在伊利石表面分布均匀。抑菌圈试验结果显示,这种复合材料对金黄色葡萄球菌和大肠杆菌均有良好的抑菌效果,最大抑菌尺寸分别达到5.68 mm和6.84 mm。

关键词：纳米银伊利石水热合成法改性抑菌圈

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2017年慢性阻塞性肺疾病全球创议更新解读

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中国实用内科杂志 2017年第2期37卷 132-135页

作者：申永春文富强四川大学华西医院呼吸与危重症医学科生物治疗国家重点实验室呼吸病学研究室四川成都610041

2017年慢性阻塞性肺疾病全球创议综合参考近年来发表的重要文献对慢阻肺的诊断、评估、稳定期与急性加重期的治疗做出了全面修订。文章针对该版创议的临床核心内容做一临床解读。

关键词：慢性阻塞性肺疾病诊断评估治疗

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Scimitar syndrome in an adult with atrial septal defect and severe pulmonary hypertension

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Chinese Medical Journal 2013年第16期126卷 3199-3199页

作者： GUO Shu-jin SHEN yong-chun wen Fu-qiang Department of Respiratory Medicine West China Hospital of Sichuan Universityand Division of Pulmonary Diseases State Key Laboratory of Biotherapy of ChinaChengdu Sichuan 610041 China

To the editor：Scimitar syndrome is a rare congenital anomaly consisting in part of right pulmonary venous return to the inferior vena cava （IVC）.The infantile variant is marked by a higher incidence of associated defects,heart failure,pulmonary hypertension （PH）,and significant *** patient with the pediatric/adult form is less severely *** report a rare case of an 18-year-old girl with atrial septal defect （ASD） and severe PH.

关键词： Scimitar syndrome hypertension

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Improving postoperative outcomes in patients with pancreatic cancer:Inflammatory and nutritional biomarkers

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World Journal of Clinical Oncology 2025年第1期16卷 59-64页

作者： chun-Han Cheng wen-Rui Hao Tzu-Hurng Cheng Department of Medical Education Linkou Chang Gung Memorial HospitalTaoyuan 33305Taiwan Division of Cardiology Department of Internal MedicineShuang Ho HospitalMinistry of Health and WelfareTaipei Medical UniversityNew Taipei 23561Taiwan Division of Cardiology Department of Internal MedicineSchool of MedicineCollege of MedicineTaipei Medical UniversityTaipei 11002Taiwan Department of Biochemistry School of MedicineCollege of MedicineChina Medical UniversityTaichung 404328Taiwan

This editorial assesses the prognostic value of preoperative inflammatory and nutritional biomarkers in patients undergoing surgical resection for pancreatic *** et al evaluated the ability of seven biomarkers to predict postoperative recovery and long-term *** biomarkers were albumin-to-globulin ratio,prognostic nutritional index(PNI),systemic immune-inflammation index,neutrophil-to-lymphocyte ratio,platelet-to-lymphocyte ratio,nutritional risk index,and geriatric nutritional risk *** PNI was found to be a strong predictor of both overall and recurrence-free survival,underscoring its clinical relevance in managing patients with pancreatic cancer.

关键词： Pancreatic cancer Prognostic nutritional index Systemic immune-inflammation index Postoperative recovery Prognosis

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Radiomics and molecular analysis:Bridging the gap for predicting hepatocellular carcinoma prognosis

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World Journal of Clinical Cases 2025年第4期13卷 56-60页

作者： chun-Han Cheng wen-Rui Hao Tzu-Hurng Cheng Department of Medical Education Linkou Chang Gung Memorial HospitalTaoyuan 33305TaiwanChina Division of Cardiology Department of Internal MedicineShuang Ho HospitalMinistry of Health and WelfareTaipei Medical UniversityNew Taipei 23561TaiwanChina Division of Cardiology Department of Internal MedicineSchool of MedicineCollege of MedicineTaipei Medical UniversityTaipei 11002TaiwanChina Department of Biochemistry School of MedicineCollege of MedicineChina Medical UniversityTaichung 404333TaiwanChina

This editorial examines a recent study that used radiomics based on computed tomography(CT)to predict the expression of the fibroblast-related gene enhancer of zeste homolog 2(EZH2)and its correlation with the survival of patients with hepatocellular carcinoma(HCC).By integrating radiomics with molecular analysis,the study presented a strategy for accurately predicting the expression of EZH2 from CT *** findings demonstrated a strong link between the radiomics model,EZH2 expression,and patient *** noninvasive approach provides valuable insights into the therapeutic management of HCC.

关键词： Hepatocellular carcinoma Computed tomography Radiomics Enhancer of zeste homologue 2 expression Non-invasive imaging

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Targeting TrkB–PSD-95 coupling to mitigate neurological disorders

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Neural Regeneration Research 2025年第3期20卷 715-724页

作者： Xin Yang Yu-wen Alvin Huang John Marshall Department of Molecular Biology Cell Biology and BiochemistryBrown UniversityProvidenceRIUSA Department of Neurology Warren Alpert Medical School of Brown UniversityProvidenceRIUSA Center for Translational Neuroscience Robert J.and Nancy D.Carney Institute for Brain Science and Brown Institute for Translational ScienceBrown UniversityProvidenceRIUSA

Tropomyosin receptor kinase B(TrkB)signaling plays a pivotal role in dendritic growth and dendritic spine formation to promote learning and *** activity-dependent release of brain-derived neurotrophic factor at synapses binds to pre-or postsynaptic TrkB resulting in the strengthening of synapses,reflected by long-term ***,the association of postsynaptic density protein-95 with TrkB enhances phospholipase Cγ-Ca^(2+)/calmodulin-dependent protein kinaseⅡand phosphatidylinositol 3-kinase-mechanistic target of rapamycin signaling required for long-term *** this review,we discuss TrkB-postsynaptic density protein-95 coupling as a promising strategy to magnify brain-derived neurotrophic factor signaling towards the development of novel therapeutics for specific neurological disorders.A reduction of TrkB signaling has been observed in neurodegenerative disorders,such as Alzheimer's disease and Huntington's disease,and enhancement of postsynaptic density protein-95 association with TrkB signaling could mitigate the observed deficiency of neuronal connectivity in schizophrenia and *** with brain-derived neurotrophic factor is problematic,due to poor pharmacokinetics,low brain penetration,and side effects resulting from activation of the p75 neurotrophin receptor or the truncated TrkB.T1 *** TrkB agonists and antibodies that activate TrkB are being intensively investigated,they cannot distinguish the multiple human TrkB splicing isoforms or cell type-specific *** TrkB–postsynaptic density protein-95 coupling provides an alternative approach to specifically boost TrkB signaling at localized synaptic sites versus global stimulation that risks many adverse side effects.

关键词： Angelman syndrome autism brain-derived neurotrophic factor depression neurodegenerative disorder neurodevelopmental disorder postsynaptic density protein-95 synaptic plasticity TrkB

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Wave effect of gravitational waves intersected with a microlens field Ⅱ:An adaptive hierarchical tree algorithm and population study

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 241-254页

作者： Xikai Shan Guoliang Li Xuechun Chen wen Zhao Bin Hu Shude Mao Department of Astronomy Tsinghua University Purple Mountain Observatory Chinese Academy of Sciences Institute for Frontier in Astronomy and Astrophysics Beijing Normal University School of Physics and Astronomy Beijing Normal University School of Astronomy and Space Science University of Science and Technology of China CAS Key Laboratory for Researches in Galaxies and Cosmology Department of Astronomy University of Science and Technology of ChinaChinese Academy of Sciences

The gravitational lensing wave effect generated by a microlensing field embedded in a lens galaxy is an inevitable phenomenon in strong lensed gravitational waves （SLGWs）.This effect presents both challenges and opportunities for the detection and application of ***,investigating this wave effect requires computing a complete diffraction integral over each microlens in the *** is extremely time-consuming due to the large number of microlenses （10～3-10～6）.Therefore,simply adding all the microlenses is ***,the complexity of the time delay surface makes the lens plane resolution a crucial factor in controlling numerical *** this paper,we propose a trapezoid approximation-based adaptive hierarchical tree algorithm to meet the challenges of calculation speed and *** find that this algorithm accelerates the calculation by four orders of magnitude compared to the simple adding method and is one order of magnitude faster than the fixed hierarchical tree algorithm proposed for electromagnetic *** importantly,our algorithm ensures controllable numerical errors,increasing confidence in the *** with our previous work （***.66,239511,2023）,this paper addresses all numerical issues,including integral convergence,precision,and computational time1).Finally,we conducted a population study on the microlensing wave effect of SLGWs using this algorithm and found that the microlensing wave effect cannot be ignored,especially for Type II SLGWs （from saddle position of the time delay surface） due to their intrinsic geometric structures and their typical intersection with a denser microlensing ***,more than 33%（11%） of SLGWs have a mismatch larger than 1%（3%） compared to the unlensed ***,we found that the mismatch between signal pairs in a doubly imaged GW is generally larger than 10-3,and 61%（25%） of signal pairs have a mismatch larger than 1%（3%）.Therefo

关键词： gravitational lensing diffractional integral algorithm gravitational wave

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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

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An efficient quantum proactive incremental learning algorithm

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 49-57页

作者： Lingxiao Li Jing Li Yanqi Song Sujuan Qin Qiaoyan wen Fei Gao State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications School of Cyberspace Security Beijing University of Posts and Telecommunications

In scenarios where a large amount of data needs to be learned, incremental learning can make full use of old knowledge, significantly reduce the computational cost of the overall learning process, and maintain high performance. In this paper, taking the MaxCut problem as our example, we introduce the idea of incremental learning into quantum computing, and propose a Quantum Proactive Incremental Learning algorithm(QPIL). Instead of a one-off training of quantum circuit, QPIL contains a multi-phase training on gradually-increased subgraphs of all vertices, proactively reducing large-scale problems to smaller ones to solve in steps, providing an efficient solution for MaxCut. Specifically, some vertices and corresponding edges are randomly selected for training to obtain optimized parameters of the quantum circuit at first. Then, in each incremental phase, the remaining vertices and corresponding edges are gradually added and the parameters obtained from the previous phase are reused in the parameter initialization of the current phase. We perform experiments on 120 different small-scale graphs, and it shows that QPIL performs superior to prevalent quantum and classical baselines in terms of approximation ratio(AR), time cost, anti-forgetting, and solving stability. In particular, QPIL's AR surpasses 20% of mainstream quantum baselines, and the time cost is less than 1/5 of them. The idea of QPIL is expected to inspire efficient and high-quality solutions in large-scale Max Cut and other combinatorial optimization problems.

关键词： variational quantum algorithm incremental learning multi-phase training MaxCut quantum computing

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