Matching Items (38)
Description
Navigating within non-linear structures is a challenge for all users when the space is large but the problem is most pronounced when the users are blind or visually impaired. Such users access digital content through screen readers like JAWS which read out the text on the screen. However presentation of non-linear narratives in such a manner without visual cues and information about spatial dependencies is very inefficient for such users. The NSDL Science Literacy StrandMaps are visual layouts to help students and teachers browse educational resources. A Strandmap shows relationships between concepts and how they build upon one another across grade levels. NSDL Strandmaps are non-linear narratives which need to be presented to users who are blind in an effective way. A good summary of the Strandmap can give the users an idea about the concepts that are explained in it. This can help them decide whether to view the map or not. In addition, a preview-based navigation mechanism can help users decide which direction they want to take, based on a preview of upcoming content in each direction. Given a non-linear narrative like a Strandmap which has both text and structure, and a word limit w, the goal of this thesis is to find the best way to create its summary. The following approaches are considered: – Purely Text-based Approach using a Multi-document Text Summarizer – Purely Structure-based Approach using PageRank – Approaches Combining both Text and Structure → CUTS-Based Approach (Topic Segmentation) → PageRank with Content Since no reference summaries for such structures were available, user studies were conducted to evaluate these algorithms. PageRank with Content approach performed the best. Another important conclusion was that text and structure are intertwined in a Strandmap by design.
ContributorsGaur, Shruti (Author) / Candan, Kasim Selcuk (Thesis advisor) / Sundaram, Hari (Committee member) / Davulcu, Hasan (Committee member) / Arizona State University (Publisher)
Created2011
Description
Templates are wildly used in Web sites development. Finding the template for a given set of Web pages could be very important and useful for many applications like Web page classification and monitoring content and structure changes of Web pages. In this thesis, two novel sequence-based Web page template detection algorithms are presented. Different from tree mapping algorithms which are based on tree edit distance, sequence-based template detection algorithms operate on the Prüfer/Consolidated Prüfer sequences of trees. Since there are one-to-one correspondences between Prüfer/Consolidated Prüfer sequences and trees, sequence-based template detection algorithms identify the template by finding a common subsequence between to Prüfer/Consolidated Prüfer sequences. This subsequence should be a sequential representation of a common subtree of input trees. Experiments on real-world web pages showed that our approaches detect templates effectively and efficiently.
ContributorsHuang, Wei (Author) / Candan, Kasim Selcuk (Thesis advisor) / Sundaram, Hari (Committee member) / Davulcu, Hasan (Committee member) / Arizona State University (Publisher)
Created2011
Description
Covid-19 is unlike any coronavirus we have seen before, characterized mostly by the ease with which it spreads. This analysis utilizes an SEIR model built to accommodate various populations to understand how different testing and infection rates may affect hospitalization and death. This analysis finds that infection rates have a significant impact on Covid-19 impact regardless of the population whereas the impact that testing rates have in this simulation is not as pronounced. Thus, policy-makers should focus on decreasing infection rates through targeted lockdowns and vaccine rollout to contain the virus, and decrease its spread.
ContributorsShah, Aashney Lalita (Author) / Pedrielli, Giulia (Thesis director) / Candan, Kasim Selcuk (Committee member) / Industrial, Systems & Operations Engineering Prgm (Contributor) / Industrial, Systems & Operations Engineering Prgm (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
This research study aims to find out the way how goodwill should be evaluated. This paper is about accounting for goodwill which will provide general information about goodwill value, especially of public companies. Additionally, I will discuss sources of goodwill, the importance of goodwill, why it is important to evaluate goodwill correctly, and what methods have been applied to evaluate goodwill. This thesis will analyze the advantages and disadvantages of both methods of accounting for goodwill which are the impairment testing method and the amortization method. This study is done by researching studies, journal articles, reviews, books, and websites about accounting. Lastly, this study will provide a suggestion for how goodwill should be evaluated effectively.
ContributorsPham, Trang Thi Thuy (Author) / Shields, Paul (Thesis director) / Huang, Xiaochuan (Committee member) / School of Accountancy (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
In recent years, there are increasing numbers of applications that use multi-variate time series data where multiple uni-variate time series coexist. However, there is a lack of systematic of multi-variate time series. This thesis focuses on (a) defining a simplified inter-related multi-variate time series (IMTS) model and (b) developing robust multi-variate temporal (RMT) feature extraction algorithm that can be used for locating, filtering, and describing salient features in multi-variate time series data sets. The proposed RMT feature can also be used for supporting multiple analysis tasks, such as visualization, segmentation, and searching / retrieving based on multi-variate time series similarities. Experiments confirm that the proposed feature extraction algorithm is highly efficient and effective in identifying robust multi-scale temporal features of multi-variate time series.
ContributorsWang, Xiaolan (Author) / Candan, Kasim Selcuk (Thesis advisor) / Sapino, Maria Luisa (Committee member) / Fainekos, Georgios (Committee member) / Davulcu, Hasan (Committee member) / Arizona State University (Publisher)
Created2013
Description
The volume of scientific research is growing at an exponential rate over the past100 years. With the advent of the internet and ubiquitous access to the web, academic research search engines such as Google Scholar, Microsoft Academic, etc., have become the go-to platforms for systemic reviews and search. Although many academic search engines host lots of content, they provide minimal context about where the search terms matched. Many of these search engines also fail to provide additional tools which can help enhance a researcher’s understanding of research content outside their respective websites. An example of such a tool can be a browser extension/plugin that surfaces context-relevant information about a research article when the user reads a research article. This dissertation discusses a solution developed to bring more intrinsic characteristics of research documents such as the structure of the research document, tables in the document, the keywords associated with the document to improve search capabilities and augment the information a researcher may read. The prototype solution named Sci-Genie(https://sci-genie.com/) is a search engine over scientific articles from Computer Science ArXiv. Sci-Genie parses research papers and indexes research documents’ structure to provide context-relevant information about the matched search fragments. The same search engine also powers a browser extension to augment the information about a research article the user may be reading. The browser extension augments the user’s interface with information about tables from the cited papers, other papers by the same authors, and even the citations to and from the current article. The browser extension is further powered with access endpoints that leverage a machine learning model to filter tables comparing various entities. The dissertation further discusses these machine learning models and some baselines that help classify whether a table is comparing various entities or not. The dissertation finally concludes by discussing the current shortcomings of Sci-Genie and possible future research scope based on learnings after building Sci-Genie.
ContributorsDave, Valay (Author) / Zou, Jia (Thesis advisor) / Ben Amor, Heni (Thesis advisor) / Candan, Kasim Selcuk (Committee member) / Arizona State University (Publisher)
Created2021
Description中小微企业是社会与经济的基本盘，它们面临的贷款融资难是全世界各国家都长期存在的世界难题，已经成了影响中小微企业经营发展的重要问题。以往的学术研究都指出了融资难的根本影响因素，那就是信息不对称，但是以往的专家学者通常是基于理性经济人的假设前提来开展进一步的影响因素研究，本论文尝试从行为金融学的视角来研究中小微企业融资难问题，研究分析贷款过程中的非理性行为因素，为提升小微贷款可获得性寻求新的思路和解决方法。以中小企业融资理论、信息不对称理论和行为金融理论为基础，结合上市银行的披露数据和问卷调查开展实证研究分析，发现企业和银行在中小微贷款融资过程中都存在非理性行为，产生心理授权效应、锚定效应和确定效应，对小微贷款可得性产生显著影响。
建议通过强化企业信用信息开放共享、提升信息披露、加强政策引导、坚持发挥中小银行对小微企业的服务优势、鼓励银行发展金融科技优化提升服务等多种方式，进一步提升小微贷款可得性，缓解中小微企业融资难问题。
ContributorsDeng, Bo (Author) / Huang, Xiaochuan (Thesis advisor) / Wu, Fei (Thesis advisor) / Zheng, Zhiqiang (Committee member) / Arizona State University (Publisher)
Created2022
Description随着经营中赊销占比的增加，对企业的营运资本管理能力要求更高，而如何优化营运资金项目，特别是其中的应收账款和存货等流动资产对企业意义重大。混凝土企业的存货占比很小，应收账款在企业流动性资金中的占比极高，影响营运资本周转期的主要因素为应收账款周转期，如何有效提高营运资本效率，特别是应收账款回收效率，是混凝土企业在市场竞争中求得生存的核心之一。以占用营运资金形成应收帐款促进销售会给企业带来一定的优势，也会为企业带来一定的风险，应收账款增加带来的营运资本管理是财务管理的重要事实，需要准确监视和适当管理，企业必须了解应收帐款的规模、性质以及时限，并深入分析讨论这些因素会对企业的绩效带来的潜在影响，合理发挥应收帐款的作用，确保企业营运资本处于正常、合理水平。本文首先以营运资本周转期为核心被解释变量，查看影响不同企业营运资本周转期差异的原因，并基于对这些原因的分析，建立混凝土企业营运资本风险，特别是应收账款风险的预警机制，其次，探讨营运资本周转期与企业绩效的相关关系，验证不同企业的营运资本周转期差异是否会影响企业绩效，在数据支撑的范围内，对影响大小进行一定程度的探讨，为江苏省混凝土行业公司提供一定的经营指导意见，同时为不同企业探索营运资本周转期与企业绩效的相关关系提供参考。
本文研究发现对于江苏省内不同混凝土企业，营运资本周转期与企业绩效正相关且显著，这表明混凝土企业的贸易特征非常明显，企业绩效更多的来自于降低营运资本效率。同时，研究还发现，企业站点数量、周边站点数量、银行承兑汇票结算、其他结算方式、激励机制、客户付款流程、分类催收、第三方催收、竞争形势、高管交际能力这些变量与营运资本周转期密切相关，这些维度分别属于企业规模、企业竞争、资金结算、激励机制、客户信息、账款催收、高管特征等大类，表明提升混凝土企业营运资本周转效率的方式方法多样，值得行业内企业家们总结与探索。
ContributorsTang, Wenfeng (Author) / Huang, Xiaochuan (Thesis advisor) / Sun, Jianfei (Thesis advisor) / Yan, Hong (Committee member) / Arizona State University (Publisher)
Created2022
Description2020年，中国经济总量首次突破百万亿大关，位居全球经济总量排名第二，成为全球经济唯一正增长的经济体，实现了中国“增长奇迹”。但是，近年来企业普通员工收入的增长速度远低于社会经济发展的增长速度。二十一世纪是人才竞争的时代，企业转型升级发展的关键在于员工的自主创新能力。根据薪酬激励理论，企业为员工支付更高的薪酬可以调动员工的工作热情和积极性，增强员工的自主创新能力，提高企业创新绩效和企业价值。因此，本文试图研究员工薪酬与企业价值之间的关系，并探索创新绩效是否在其关系中起到中介效应作用。本文通过回顾和梳理国内外有关员工薪酬、创新绩效和企业价值三者关系的相关文献，结合该领域国内外学者的研究经验，以我国科创板上市的214家公司为本文研究的样本。在理论分析和经验研究的基础上，得出以下研究结果：
（1）在科创板上市公司的全样本中，回归结果发现，员工薪酬与企业价值呈显著正相关，员工薪酬与企业创新绩效呈显著正相关，创新绩效与企业价值呈显著正相关，创新绩效在员工薪酬与企业价值的关系中具有中介效应的作用。
（2）区分了企业产权性质后，在民营企业的样本组中，其回归结果发现与全样本组的回归结果基本一致。在非民营企业的样本组中，员工薪酬与创新绩效和企业价值的系数虽为正，但系数的P值并不显著，说明员工薪酬对创新绩效和企业价值都具有正向的激励作用，但不显著；创新绩效对企业价值具有正向的促进作用，但不显著；创新绩效在员工薪酬对企业价值的关系中不具有中介效应，而是起到了遮掩效应的作用。
（3）区分了企业经营所在地后，在非一线城市企业样本中，其回归结果发现与全样本的回归结果基本一致。在一线城市企业样本中，回归结果发现，员工薪酬的系数虽然为正，但P值不显著，说明员工薪酬对创新绩效和企业价值都具有正向的激励作用，但不显著；创新绩效与企业价值呈显著正向相关；创新绩效在员工薪酬对企业价值的关系中起到了遮掩效应。
ContributorsJin, Jian (Author) / Huang, Xiaochuan (Thesis advisor) / Chang, Chun (Thesis advisor) / Li, Hongmin (Committee member) / Arizona State University (Publisher)
Created2022
Description在新证券法实施当年，企业纷纷变更会计师事务所。基于此背景展开本文的研究。本文主要关注新证券法实施后，事务所变更对审计质量的影响。本文发现，新证券法实施之前，事务所变更并未提升公司的审计质量，反而降低了审计质量，而在新证券法实施引起后，事务所变更对审计质量具有显著的正向作用。一方面，事务所通过增加审计师的人数与改善审计师的学历构成提高审计质量；另一方面，审计师通过提高自身审计审慎程度来应对外部监管环境，提高其审计质量。本文还进行了进一步研究，首先关注“换师不换所”现象的影响，发现排除了该现象影响后，事务所变更对审计质量的正向提升作用更加显著。其次关注公司自身特征的影响，发现新证券法实施后，事务所变更对审计质量的正向影响作用，在企业内部控制较差、民营企业、市场化水平较低时更加显著，表明新证券法实施后，企业通过更换会计师事务所提升了审计质量。最后关注审计师个人特征的影响，本文将审计师个人特征归类为“硬性条件”和“软实力”，发现新证券法实施后事务所变更对审计质量的正向作用，在审计师性别为女、学历较高、审计经验较丰富以及所内职务较高时更加显著。
本文研究发现为新证券法实施提供了经济后果检验证据，并发现事务所通过事务所层面和审计师层面改善其审计行为，补充了相关政策后果研究；同时拓宽了事务所层面的圈层研究，并为审计质量研究提供增量贡献。
ContributorsSun, Yao (Author) / Huang, Xiaochuan (Thesis advisor) / Cheng, Shijun (Thesis advisor) / Zhu, Kevin (Committee member) / Arizona State University (Publisher)
Created2022