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| 1 | Interpretation of breast cancer screening guideline for Chinese women显示文摘Breast cancer is the most common malignant tumor in Chinese women.Early screening is the best way to improve the rates of early diagnosis and survival of breast cancer patients.The peak onset age for breast cancer in Chinese women is considerably younger than those in European and American women.It is imperative to develop breast cancer screening guideline that is suitable for Chinese women.By summarizing the current evidence on breast cancer screening in Chinese women,and referring to the latest guidelines and consensus on breast cancer screening in Europe,the United States,and East Asia,the China Anti-Cancer Association and National Clinical Research Center for Cancer(Tianjin Medical University Cancer Institute and Hospital)have formulated population-based guideline for breast cancer screening in Chinese women.The guideline provides recommendations on breast cancer screening for Chinese women at average or high risk of breast cancer according to the following three aspects:age of screening,screening methods,and screening interval.This article provides more detailed information to support the recommendations in this guideline and to provide more direction for current breast cancer screening practices in China. | Yubei Huang Zhongsheng Tong Kexin Chen Ying Wang Peifang Liu Lin Gu Juntian Liu Jinpu Yu Fengju Song Wenhua Zhao Yehui Shi Hui Li Huaiyuan Xiao Xishan Hao | 2019 | Cancer Biology & Medicine2019，16，4： | 10 |
| 2 | Data-driven science and machine learning methods in laser-plasma physics显示文摘Laser-plasma physics has developed rapidly over the past few decades as lasers have become both more powerful and more widely available.Early experimental and numerical research in this field was dominated by single-shot experiments with limited parameter exploration.However,recent technological improvements make it possible to gather data for hundreds or thousands of different settings in both experiments and simulations.This has sparked interest in using advanced techniques from mathematics,statistics and computer science to deal with,and benefit from,big data.At the same time,sophisticated modeling techniques also provide new ways for researchers to deal effectively with situation where still only sparse data are available.This paper aims to present an overview of relevant machine learning methods with focus on applicability to laser-plasma physics and its important sub-fields of laser-plasma acceleration and inertial confinement fusion. | Andreas Döpp Christoph Eberle Sunny Howard Faran Irshad Jinpu Lin Matthew Streeter | 2023 | High Power Laser Science and Engineering2023，11，5： | 0 |
| 3 | Tango Controls and data pipeline for petawatt laser experiments显示文摘The Centre for Advanced Laser Applications in Garching,Germany,is home to the ATLAS-3000 multi-petawatt laser,dedicated to research on laser particle acceleration and its applications.A control system based on Tango Controls is implemented for both the laser and four experimental areas.The device server approach features high modularity,which,in addition to the hardware control,enables a quick extension of the system and allows for automated data acquisition of the laser parameters and experimental data for each laser shot.In this paper we present an overview of our implementation of the control system,as well as our advances in terms of experimental operation,online supervision and data processing.We also give an outlook on advanced experimental supervision and online data evaluation–where the data can be processed in a pipeline–which is being developed on the basis of this infrastructure. | Nils Weiße Leonard Doyle Johannes Gebhard Felix Balling Florian Schweiger Florian Haberstroh Laura D.Geulig Jinpu Lin Faran Irshad Jannik Esslinger Sonja Gerlach Max Gilljohann Vignesh Vaidyanathan Dennis Siebert Andreas Münzer Gregor Schilling Jörg Schreiber Peter G.Thirolf Stefan Karsch Andreas Döpp | 2023 | High Power Laser Science and Engineering2023，11，4： | 0 |
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