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data processing and analysis in real-world traditional Chinese medicine clinical data: challenges and approaches

STATISTICS IN MEDICINE 2012年第7期31卷 653-660页

作者： Liu, Baoyan Zhou, Xuezhong Wang, Yinhui Hu, Jingqing He, Liyun Zhang, Runshun Chen, Shibo Guo, Yufeng Beijing Jiaotong Univ Sch Comp & Informat Technol Beijing 100044 Peoples R China China Acad Chinese Med Sci Guanganmen Hosp Beijing 100053 Peoples R China China Acad Chinese Med Sci Inst Basic Res Clin Med Beijing 100700 Peoples R China

Traditional Chinese medicine (TCM) is a clinical-based discipline in which real-world clinical practice plays a significant role for both the development of clinical therapy and theoretical research. The large-scale clinical data generated during the daily clinical operations of TCM provide a highly valuable knowledge source for clinical decision making. Secondary analysis of these data would be a vital task for TCM clinical studies before the randomised controlled trials are conducted. In this article, we discuss the challenges and issues, such as structured data curation, data preprocessing and quality, large-scale data management and complex data analysis requirements, in the data processing and analysis of real-world TCM clinical data. Furthermore, we also discuss related state-of-the-art research and solutions in China. We have shown that the clinical data warehouse based on the collection of structured electronic medical record data and clinical terminology would be a promising approach for generating clinical hypotheses and helping the discovery of clinical knowledge from large-scale real-world TCM clinical data. Copyright (c) 2011 John Wiley & Sons, Ltd.

关键词： traditional Chinese medicine real-world clinical data data processing and analysis

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Development of the data processing and analysis System Framework for ICF Experiments

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Plasma Science and Technology 2005年第3期7卷 2872-2874页

作者：杨冬虞孝麒张弛 Department of Modern Physics University of Science & Technology of China Hefei 230026China

An idea is presented about the development of a data processing and analysis system for ICF experiments, which is based on an object oriented framework. The design and preliminary implementation of the data processing and analysis framework based on the ROOT system have been completed. Software for unfolding soft X-ray spectra has been developed to test the functions of this framework.

关键词： initial confinement fusion data processing and analysis object oriented framework ROOT soft X-ray spectra

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Mobile Cloud Computing Model for data processing and analysis on Smartphone

Mobile Cloud Computing Model for Data Processing and Analysi...

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6th International Conference on New Trends in Information Science, Service Science and data Mining (ISSDM)

作者： Choi, Okkyung Jung, Wooyeol Kim, Kangseok Yeh, Hongjin Ajou Univ Grad Sch Dept Knowledge Informat Engn Suwon 441749 South Korea

ISBN: (纸本)9781467308762

Even though many companies and nations are aware of the need for implementing mobile cloud computing to their business practice, sometimes it is difficult to clarify the objective of cloud computing service. The general trend is to just implement ASP (Active Server Provider) instead. The most noteworthy distributed computing framework in the field of cloud computing is 'Hadoop,' an open source tool developed by 'Yahoo' for large scale data processing and analysis. This research proposes a mobile cloud computing model, which utilizes open source codes from distributed computing frameworks, like Hadoop, in an attempt to improve the efficiency of business processing. We will also be able to study how to process and analyze unstructured data in parallel to this model, so that in the future, providing customized information for individuals may be possible using unstructured data.

关键词： Hadoop Cloud Computin data processing and analysis

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data processing and analysis in real-world traditional Chinese medicine clinical data:challenges and approaches

Data processing and analysis in real-world traditional Chine...

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作者：刘保延 Xuezhong Zhou Yinhui Wang Jingqing Hu Liyun He Runshun Zhang Shibo Chen Yufeng Guo 中国中医学科学院中国中医科学院 School of Computer and Information Technology Beijing Jiaotong University Guang'anmen Hospital China Academy of Chinese Medical Sciences Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical Sciences

Traditional Chinese medicine(TCM) is a clinical-based discipline in which real-world clinical practice plays a significant role for both the development of clinical therapy and theoretical *** large-scale clinical data generated during the daily clinical operations of TCM provide a highly valuable knowledge source for clinical decision *** analysis of these data would be a vital task for TCM clinical studies before the randomised controlled trials are *** this article,we discuss the challenges and issues,such as structured data curation,data preprocessing and quality,large-scale data management and complex data analysis requirements,in the data processing and analysis of real-world TCM clinical ***,we also discuss related state-of-the-art research and solutions in *** have shown that the clinical data warehouse based on the collection of structured electronic medical record data and clinical terminology would be a promising approach for generating clinical hypotheses and helping the discovery of clinical knowledge from large-scale real-world TCM clinical *** ? 2011 John Wiley & Sons,Ltd.

关键词： traditional Chinese medicine real-world clinical data data processing and analysis

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The Application and Exploration of Big data in data processing and analysis

The Application and Exploration of Big Data in Data Processi...

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作者： Mengbo Wang Xue Jiang Guangdong Innovative Technical College

With the development of mobile Internet technology, Internet of things, cloud computing and other information technology, big data is more and more widely used in real life. Big data refers to the use of all data for analysis and processing. According to big data's 4 V characteristic: Volume(large number), Velocity(high speed), Variety(variety), Value(value density), this paper explores its role in data processing and analysis, and explores the unknown field of data processing and analysis. There is no mature application of big data analysis method in chemical data processing and analysis field at present. Need According to the existing application examples, combined with the characteristics of analytical chemical data processing and analysis, the concrete operation flow is formed. The emphasis of this paper is to understand the application and characteristics of big data's analytical work in various fields at the present stage, and to explore the concrete operation flow and effect of big data analysis applied to the processing and analysis of analytical chemical data.

关键词： Big data data processing and analysis Analytical chemistry

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Mobile cloud computing model for data processing and analysis on smartphone

Mobile cloud computing model for data processing and analysi...

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International Conference on New Trends in Information and Service Science, NISS

作者： Okkyung Choi Wooyeol Jung Kangseok Kim Hongjin Yeh Department of Knowledge Information Engineering Graduate School of Ajou University Suwon South Korea

ISBN: (纸本)9781467308762

Even though many companies and nations are aware of the need for implementing mobile cloud computing to their business practice, sometimes it is difficult to clarify the objective of cloud computing service. The general trend is to just implement ASP (Active Server Provider) instead. The most noteworthy distributed computing framework in the field of cloud computing is `Hadoop,' an open source tool developed by `Yahoo' for large scale data processing and analysis. This research proposes a mobile cloud computing model, which utilizes open source codes from distributed computing frameworks, like Hadoop, in an attempt to improve the efficiency of business processing. We will also be able to study how to process and analyze unstructured data in parallel to this model, so that in the future, providing customized information for individuals may be possible using unstructured data.

关键词： Cloud Computin data processing and analysis Hadoop

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Reporting methods for processing and analysis of data from serial block face scanning electron microscopy

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JOURNAL OF MICROSCOPY 2016年第1期263卷 3-9页

作者： Borrett, S. Hughes, L. Univ Oxford Sir William Dunn Sch Pathol S Parks Rd Oxford OX1 3RE England Oxford Brookes Univ Dept Biol & Med Sci Gipsy Lane Oxford OX3 0BP England

Serial block face scanning electron microscopy is rapidly becoming a popular tool for collecting large three-dimensional data sets of cells and tissues, filling the resolution and volume gap between fluorescence microscopy and high-resolution electron microscopy. The automated collection of data within the instrument occupies the smallest proportion of the time required to prepare and analyse biological samples. It is the processing of data once it has been collected that proves the greatest challenge. In this review we discuss different methods that are used to process data. We suggest potential workflows that can be used to facilitate the transfer of raw image stacks into quantifiable data as well as propose a set of criteria for reporting methods for data analysis to enable replication of work. Lay description A three-dimensional (3D) microscopy technique, serial block face scanning electron microscopy (SBFSEM), is becoming increasingly popular in biological research. The technique results in large volumes of data being produced, which can cause issues such as for data analysis. This review explores the different methods being used in published work and makes suggestions about how these methods can be reported to enable replication of the research conducted.

关键词： Serial block face scanning electron microscopy SBFSEM 3D reconstruction data processing and analysis

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processing and analysis of X-ray photoelectron diffraction data using IGOR Pro

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JOURNAL OF APPLIED CRYSTALLOGRAPHY 2018年第3期51卷 935-942页

作者： Liang, Xihui Lubin, Christophe Mathieu, Claire Barrett, Nicholas CEA IRAMIS SPEC LENSIS F-91191 Gif Sur Yvette France Guangzhou Res Inst Optomechanoelect Technol 3 Keyan Rd Guangzhou 510663 Guangdong Peoples R China

A software package is presented for nearly real-time display of diffractograms during X-ray photoelectron diffraction (XPD) data acquisition and for processing and analysis after an experiment. During the experiment, the package is able to automatically read X-ray photoelectron spectroscopy (XPS) data, perform initial data processing and project intensity values as XPD diffractograms. Four display modes are supported. After the experiment, the package is able to open, process and analyze XPD patterns. The processing functions include rotation, cropping, creating a full 2 pi pattern using symmetry operations, smoothing and converting a pattern to an image suitable for publication. The analysis functions include displaying polar angles, azimuthal angles, intensity, the core level spectrum at a selected angular data point, and azimuthal and radial profiles. The package also integrates fitting functions for core level spectra. The package is developed using the IGOR Pro scripting language. A graphical user interface has been developed to allow all the operations just by mouse clicking. The package is designed to interface directly with an XPD system at the Saclay center of the French Atomic Energy and Alternative Energies Authority, but the algorithms are generally applicable and can be readily adapted to other XPD systems.

关键词： X-ray photoelectron diffraction X-ray photoelectron spectroscopy data processing and analysis IGOR Pro

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Facilitating Reproducibility in Catalysis Research with Managed Workflows and RO-Crates: A Galaxy Case Study

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CHEMCATCHEM 2025年第10期17卷

作者： Nieva-de-la-Hidalga, Abraham Liborio, Leandro Austin, Patrick Devadasan, Subindev Underwood, Tom Belozerov, Alexander Wilding, Martin Ramanan, Nitya Catlow, C. Richard A. Cardiff Univ Sch Chem TRH Bldg Maindy Rd Cardiff CF24 4HQ Wales UK Catalysis Hub Res Complex Harwell Didcot OX11 0FA England Rutherford Appleton Lab Sci & Technol Facil Council Sci Comp Dept Didcot OX11 0QX England Diamond Light Source Ltd Didcot OX11 0DE England UCL Chem Dept London WC1H 0AJ England Cardiff Univ Sch Comp Sci & Informat Cardiff CF24 4AG Wales

Publishing supporting data significantly impacts researchers' productivity, especially in experiments requiring extensive tracking of data, processing steps, parameters, and outputs. A managed workflow environment, combined with RO-Crates, addresses these data management challenges. Workflows provide an alternative for handling complex data analyses by orchestrating various processing tools. The RO-Crate format, a community-driven proposal for packaging data, provenance, and workflows, facilitates publishing and reproducibility. The Galaxy workflow management system integrates workflows and RO-Crates, enabling the export of analyses, which can be shared and restored by other users. Using Galaxy, we demonstrate how to improve support for reproducibility. We tested our approach by designing an experiment using diverse supporting data from selected papers. In the experiment, we identified specific FAIRness and completeness issues hindering result reproduction, even when authors made significant efforts to document and publish their supporting data. In comparison, the proposed approach supports reproducibility by packaging datasets in RO-Crate format, streamlining the process. The Galaxy RO-Crates, published as supporting materials, enhance data sharing, transparency, and reproducibility, thus supporting the advancement of FAIR research practices in catalysis research.

关键词： data processing and analysis FAIR data objects Reproducibility of results Workflow management system X-ray absorption spectroscopy

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Research and Application of Power Digital Control Platform Based on Big data 24

Research and Application of Power Digital Control Platform B...

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Proceedings of the 2024 4th International Conference on Big data, Artificial Intelligence and Risk Management

作者： Xiaoxia Liu State Grid East Inner Mongolia Information & communication company Hohhot Inner Mongolia China

ISBN: (纸本)9798400709753

By applying cloud storage, big data, distributed computing and other technologies, integrating business data and real-time data from departments such as marketing, scheduling, and production in power operation, a power production big data platform has been constructed, achieving functions such as metadata modeling, data cleaning, data extraction, DM (data Mining), data analysis, data presentation, and data services. By utilizing the power production big data platform, the problems in power production operation and inspection management have been addressed, An Corresponding ***-time power production control system that monitors, controls, and analyzes various abnormal power situations has been implemented, achieving functions such as fault tripping control, shutdown control, load control, low voltage control, three-phase imbalance control, risk assessment and warning, reliability and benefit analysis, providing favorable technical support for power operation, maintenance, and maintenance management.

关键词： data processing and analysis

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