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铁路节能环保与安全卫生 2025年第1期15卷 60-64页

作者：何岳嵩中铁十四局集团第二工程有限公司安全监督部山东泰安271000

在建筑施工领域进行安全行为的研究至关重要,传统研究方法主要以文字叙述和表格统计为主,难以捕捉到所有相关的信息和动态。利用CiteSpace软件进行可视化分析,可以帮助研究者从大量文献数据中提取有价值的信息,并构建出建筑施工安全行... 详细信息

在建筑施工领域进行安全行为的研究至关重要,传统研究方法主要以文字叙述和表格统计为主,难以捕捉到所有相关的信息和动态。利用CiteSpace软件进行可视化分析,可以帮助研究者从大量文献数据中提取有价值的信息,并构建出建筑施工安全行为的知识图谱,揭示出不同概念和主题之间的关联和互动,识别出建筑施工安全行为研究中的空白和热点,有助于指导未来的研究方向,推动建筑施工安全行为研究的深入发展。

关键词： CiteSpace 建筑施工安全行为可视化知识图谱

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Conformal Welding for Brain-Intelligence analysis 14th

Conformal Welding for Brain-Intelligence Analysis

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14th International symposium on Visual Computing (ISVC)

作者： Yang, Liqun Razib, Muhammad He, Kenia Chang Yang, Tianren Lu, Zhong-Lin Gu, Xianfeng Zeng, Wei Florida Int Univ Miami FL 33199 USA New York Univ Shanghai Shanghai 200122 Peoples R China NYU 550 1St Ave New York NY 10003 USA SUNY Stony Brook Stony Brook NY 11794 USA

ISBN: (纸本)9783030337209;9783030337193

In this work, we present a geometric method to explore the relationship between brain anatomical structure and human intelligence based on conformal welding theory. We first generate the anatomical atlas on the structural MRI data;then, compute the signature for each cortical region by welding the conformal maps of the region and its complement domain along the common boundary, and combine all the region signature as that for the whole brain;and finally, use the signatures for shape visualization and classification using the learning methods. the signature is global, intrinsic to surface and curve geometry, and invariant to conformal transformations;and the computation is efficient through solving sparse linear systems. Experiments on real data set with 243 subjects demonstrate the efficacy of the proposed method and concluded that the conformal welding signature of cortical surface can classify human intelligence with a competitive accuracy rate compared with traditional features.

关键词： Conformal welding Brain structure Human intelligence

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***: Network analysis in collaborative co-construction of historical context in a large undergraduate classroom 14

***: Network analysis in collaborative co-construction of hi...

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14th International Conference of the Learning Sciences: the Interdisciplinarity of the Learning Sciences, ICLS 2020

作者： Craig, Kalani Danish, Joshua Humburg, Megan Szostalo, Maksymilian McCranie, Ann Hmelo-Silver, Cindy Indiana University Bloomington United States

ISBN: (纸本)9781732467262

History educators in large-lecture humanities undergraduate classrooms struggle to support reading comprehension, defined as the ability to simultaneously read a complex text critically, understand the text’s details and context, and vet the text’s claims. Critical reading of historical texts in particular helps bridge the gap between seeing history as memorization-oriented and seeing it as an inquiry-oriented discipline that reconstructs narrative and context. *** is an open-source, network-analysis software tool paired with activities that support intuitive creation and revision of a network data set and accompanying visualization, and through these representational practices, reading comprehension in humanities classrooms. Findings show that as students draw on details in a historical text to collaboratively construct a larger network, they begin to emphasize context reconstruction over memorization. © ISLS.

关键词： History

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A large-scale comparative analysis of Coding Standard conformance in Open-Source data Science projects 20

A large-scale comparative analysis of Coding Standard confor...

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14th ACM/IEEE International symposium on Empirical Software Engineering and Measurement, ESEM 2020

作者： Simmons, Andrew J. Barnett, Scott Rivera-Villicana, Jessica Bajaj, Akshat Vasa, Rajesh Deakin University Applied Artificial Intelligence Inst. GeelongVIC Australia

ISBN: (纸本)9781450375801

Background: Meeting the growing industry demand for data Science requires cross-disciplinary teams that can translate machine learning research into production-ready code. Software engineering teams value adherence to coding standards as an indication of code readability, maintainability, and developer expertise. However, there are no large-scale empirical studies of coding standards focused specifically on data Science projects. Aims: this study investigates the extent to which data Science projects follow code standards. In particular, which standards are followed, which are ignored, and how does this differ to traditional software projects? Method: We compare a corpus of 1048 Open-Source data Science projects to a reference group of 1099 non-data Science projects with a similar level of quality and maturity. Results: data Science projects suffer from a significantly higher rate of functions that use an excessive numbers of parameters and local variables. data Science projects also follow different variable naming conventions to non-data Science projects. Conclusions: the differences indicate that data Science codebases are distinct from traditional software codebases and do not follow traditional software engineering conventions. Our conjecture is that this may be because traditional software engineering conventions are inappropriate in the context of data Science projects. © 2020 IEEE Computer Society. All rights reserved.

关键词： Open source software

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Software Engineering Projects analysis using Interactive Multimodal Graph Explorer - IMiGEr 10

Software Engineering Projects Analysis using Interactive Mul...

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14th International Joint Conference on Computer Vision, Imaging and Computer Graphics theory and Applications (VISIGRAPP) / 10th International Conference on Information visualization theory and Applications (IVAPP)

作者： Holy, Lukas Picha, Petr Lipka, Richard Brada, Premek Univ West Bohemia NTIS New Technol Informat Soc European Ctr Excellence Fac Appl Sci Univ 8 Plzen Czech Republic

ISBN: (纸本)9789897583544

this paper describes a visualization technique designed to help work with complex diagrams containing multiple types of nodes and edges, by using a combination of visual clutter reduction and graph exploration techniques. We show its application, including preliminary evaluation, on software engineering projects data gathered from various tools and repositories used for software development. An online tool implementing the technique and plans for its extension by a connected view of time perspective data are briefly presented.

关键词： Graph visualization Visual Clutter large Graphs Software Engineering

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Visual Growing Neural Gas for Exploratory data analysis 10

Visual Growing Neural Gas for Exploratory Data Analysis

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作者： Ventocilla, Elio Riveiro, Maria Univ Skovde Sch Informat Skovde Sweden

ISBN: (纸本)9789897583544

this paper argues for the use of a topology learning algorithm, the Growing Neural Gas (GNG), for providing an overview of the structure of large and multidimensional datasets that can be used in exploratory data analysis. We introduce a generic, off-the-shelf library, Visual GNG, developed using the Big data framework Apache Spark, which provides an incremental visualization of the GNG training process, and enables userin-the-loop interactions where users can pause, resume or steer the computation by changing optimization parameters. Nine case studies were conducted with domain experts from different areas, each working on unique real-world datasets. the results show that Visual GNG contributes to understanding the distribution of multidimensional data;finding which features are relevant in such distribution;estimating the number of k clusters to be used in traditional clustering algorithms, such as K-means;and finding outliers.

关键词： Growing Neural Gas Dimensionality Reduction Multidimensional data Visual Analytics Exploratory data analysis

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Tactical Rings: A visualization Technique for Analyzing Tactical Patterns in Tennis 14th

Tactical Rings: A Visualization Technique for Analyzing Tact...

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14th International symposium on Visual Computing (ISVC)

作者： Pokharel, Shiraj Zhu, Ying Georgia State Univ Dept Comp Sci Atlanta GA 30303 USA Georgia State Univ Creat Media Ind Inst Atlanta GA 30303 USA

ISBN: (纸本)9783030337230;9783030337223

Sports data visualization can be a useful tool for analyzing or presenting sports data. In this paper, we present a new technique to visualize and analyze shot-by-shot tactical patterns in tennis. Previous work in tennis data analysis and visualization focus more on high-level statistics and overviews such as heat-maps but did not handle data analytics at micro-level. Our visualization technique can reveal patterns and imbalances in a tennis match that lead to a deeper understanding of the game. We demonstrate the application and benefits of our visualization technique with case studies.

关键词： visualization systems Visual analytics Visual data mining and knowledge discovery

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Breaking the Curse of Visual data Exploration: Improving Analyses by Building Bridges between data World and Real World 10

Breaking the Curse of Visual Data Exploration: Improving Ana...

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作者： Kraus, Matthias Weiler, Niklas Breitkreutz, thorsten Keim, Daniel A. Stein, Manuel Univ Konstanz Data Anal & Visualizat Constance Germany

ISBN: (纸本)9789897583544

Visual data exploration is a useful means to extract relevant information from large sets of data. the visual analytics pipeline processes data recorded from the real world to extract knowledge from gathered data. Subsequently, the resulting knowledge is associated with the real world and applied to it. However, the considered data for the analysis is usually only a small fraction of the actual real-world data and lacks above all in context information. It can easily happen that crucial context information is disregarded, leading to false conclusions about the real world. therefore, conclusions and reasoning based on the analysis of this data pertain to the world represented by the data, and may not be valid for the real world. the purpose of this paper is to raise awareness of this discrepancy between the data world and the real world which has a high impact on the validity of analysis results in the real world. We propose two strategies which help to identify and remove specific differences between the data world and the real world. the usefulness and applicability of our strategies are demonstrated via several use cases.

关键词： visualization theory Uncertainty Validation Visual Analytics

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NEMESIS (NEtwork MEdicine analysis): Towards Visual Exploration of Network Medicine data 10

NEMESIS (NEtwork MEdicine analySIS): Towards Visual Explorat...

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作者： Angelini, Marco Blasilli, Graziano Farina, Lorenzo Lenti, Simone Santucci, Giuseppe Sapienza Univ Rome DIAG Dept Comp Control & Management Engn Antonio Ruber Rome Italy

ISBN: (纸本)9789897583544

the emerging Network Medicine domain is causing a shift between diagnosis based on the conventional reductionist approach, arguing that biological factors work in a simple linear way, and the analysis of perturbations within the comprehensive network map of molecular components and their interactions, i.e., the "Interactome". As a consequence, clinicians are investigating more than 140,000 interactions between more than 13,000 genes and their connections with drugs and diseases, along a sequence of "networks". Making sense of this complex structure is a challenging activity and the visual analytics application NEMESIS tries to attack such a problem allowing for interactively exploring this large body of knowledge, focusing on subsets of data and investigating their relationships with other relevant dimensions, pursuing the main goal of facilitating hypothesis formulation and validation.

关键词： Network Medicine Visual Analytics Interactome

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CSA: a web service for the complete process of ChIP-Seq analysis

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BMC BIOINFORMATICS 2019年第15期20卷 1-8页

作者： Li, Min Tang, Li Wu, Fang-Xiang Pan, Yi Wang, Jianxin Cent South Univ Sch Comp Sci & Engn Changsha Hunan Peoples R China Univ Saskatchewan Div Biomed Engn Saskatoon SK S7N 5A9 Canada Univ Saskatchewan Dept Mech Engn Saskatoon SK S7N 5A9 Canada Georgia State Univ Dept Comp Sci Atlanta GA 30303 USA

Background: Chromatin immunoprecipitation sequencing (ChIP-seq) is a technology that combines chromatin immunoprecipitation (ChIP) with next generation of sequencing technology (NGS) to analyze protein interactions with DNA. At present, most ChIP-seq analysis tools adopt the command line, which lacks user-friendly interfaces. Although some web services with graphical interfaces have been developed for ChIP-seq analysis, these sites cannot provide a comprehensive analysis of ChIP-seq from raw data to downstream analysis. Results: In this study, we develop a web service for the whole process of ChIP-Seq analysis (CSA), which covers mapping, quality control, peak calling, and downstream analysis. In addition, CSA provides a customization function for users to define their own workflows. And the visualization of mapping, peak calling, motif finding, and pathway analysis results are also provided in CSA. For the different types of ChIP-seq datasets, CSA can provide the corresponding tool to perform the analysis. Moreover, CSA can detect differences in ChIP signals between ChIP samples and controls to identify absolute binding sites. Conclusions: the two case studies demonstrate the effectiveness of CSA, which can complete the whole procedure of ChIP-seq analysis. CSA provides a web interface for users, and implements the visualization of every analysis step. the website of CSA is available at http://***.

关键词： ChIP-seq Quality control Peak calling Downstream analysis visualization

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