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Understanding the Relationship between the Talented Twenty Program and College Aspirations for High Ranking Students at a High Priority SchoolCruz, Jeannette 28 March 2011 (has links)
Percentage plans such as the Talented Twenty program purport to assist and motivate high ranking students to attend college and grant access to higher education. This type of plan is particularly important to students enrolled in high priority schools who might not view themselves as potential college students. This study examined the relationship between Florida’s Talented Twenty program that begins intervention with juniors and the college aspirations for high ranking students at a high priority school. Numerous studies have established that increased levels of education lead to higher salaries, career mobility, and an increased quality of life (e.g., Bowen, 1997; Leslie & Brinkman 1988; Pascarella & Terenzini, 1991, Swail, 2000). Given the importance of students’ decisions regarding whether or not they will attend college, understanding how and when they make decisions about attending college is important for them, their parents, advisors, and educational administrators.
This research examined students’ perceptions and insights via interviews. The overarching research question was: How do high ranking high school students attending a high priority school in a south Florida district perceive their college opportunities? Sixteen high ranking students, grades nine – 12 from a high priority school in Miami-Dade County participated in the study. Participants were identified by a school counselor and individual semi structured interviews were conducted at the school. Utilizing a student development theoretical framework developed by Hossler and Gallagher (1987) that centered on students’ predisposition, search strategies and choices, data were organized and emergent themes analyzed.
The analysis of the data revealed that in alignment with the framework (a) parents were the strongest influence in the development of these students’ college aspirations, (b) these students formalized their higher education plans between eighth and 10th grade, (c) these students actively engaged in academic searches and learning opportunities that increased their chances to be admitted into college, and (d) there was no relationship between knowledge regarding the Talented Twenty program and their educational decisions. This study’s findings suggest that interventions and programs intended to influence the educational aspirations of students are more likely to succeed if they take place by the eighth or ninth grade.
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Ranked Search on Data GraphsVaradarajan, Ramakrishna R. 10 March 2009 (has links)
Graph-structured databases are widely prevalent, and the problem of effective search and retrieval from such graphs has been receiving much attention recently. For example, the Web can be naturally viewed as a graph. Likewise, a relational database can be viewed as a graph where tuples are modeled as vertices connected via foreign-key relationships. Keyword search querying has emerged as one of the most effective paradigms for information discovery, especially over HTML documents in the World Wide Web. One of the key advantages of keyword search querying is its simplicity – users do not have to learn a complex query language, and can issue queries without any prior knowledge about the structure of the underlying data. The purpose of this dissertation was to develop techniques for user-friendly, high quality and efficient searching of graph structured databases. Several ranked search methods on data graphs have been studied in the recent years. Given a top-k keyword search query on a graph and some ranking criteria, a keyword proximity search finds the top-k answers where each answer is a substructure of the graph containing all query keywords, which illustrates the relationship between the keyword present in the graph. We applied keyword proximity search on the web and the page graph of web documents to find top-k answers that satisfy user’s information need and increase user satisfaction. Another effective ranking mechanism applied on data graphs is the authority flow based ranking mechanism. Given a top-k keyword search query on a graph, an authority-flow based search finds the top-k answers where each answer is a node in the graph ranked according to its relevance and importance to the query. We developed techniques that improved the authority flow based search on data graphs by creating a framework to explain and reformulate them taking in to consideration user preferences and feedback. We also applied the proposed graph search techniques for Information Discovery over biological databases. Our algorithms were experimentally evaluated for performance and quality. The quality of our method was compared to current approaches by using user surveys.
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Ranking / RankingČerný, Jiří January 2013 (has links)
The aim of the Master's Thesis is the ranking of the selected sector of the Czech economy, specifically group of vehicle manufacturers in terms of their financial performance. In particular the evaluation of the financial performance of selected objects of ranking, creating charts according to specific criteria and their interpretation. The Thesis also provides examples of significant Czech and world rankings, which are described and compared. The theoretical part is given in particular the selection criteria and ranking methodology focusing on value-based criteria (EVA, spread, NPV) and theoretical background of business in the sector. That is then developed in the practical part of the work in the analysis of the automotive industry. The following is a selection and segmentation of objects ranking and the main part of the work focused on ranking of companies based on their financial performance.
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Analýza rankingu ekonomických fakult pomocí metod vícekriteriálního rozhodování / Analysis of the ranking of economic faculties using the multi-criteria decision making methodsBalšánková, Tereza January 2013 (has links)
The thesis deals with the evaluation of the economic faculties of the universities in the Czech Republic using the WSA, TOPSIS and ELECTRE III methods. The theoretical part of the work describes the theory of multi-criteria decision making and focuses on the methods with the cardinal information and methods of calculation of the criteria weights. This part of the work is further devoted to the methodology of the world's most recognized rankings and evaluations of economic faculties in the Czech Republic. The practical part deals with the selection of appropriate criteria, the determination of their scales and evaluation of faculties using the Sanna MS Excel add-in application. In the scope of the sensitivity of the evaluation depending on the change in the weights of the criteria there is drawn up a questionnaire for students of schools with economic focus. The primary purpose is to create an objective ranking of economic faculties. The secondary aim of this work is to assess the sensitivity of the order of the faculties on the method used to calculate the weights of the criteria and on change of the weighting of the criteria itself.
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Comparative analysis of business environment conditions for small and medium-sized enterprises within V4 countries / Komparatívna analýza podmienok podnikateľského prostredia pre malé a stredné podniky v rámci krajín V4Bača, Slavomír January 2013 (has links)
The main aim of the master's thesis is to clarify the problematic of small and medium-sized enterprises (SMEs), analyse relevancy and historical development of selected ratios influencing business environment conditions for SMEs, and determine the best country within V4 region in terms of favourableness of selected business environment conditions for 2014. Theoretical part of the thesis discusses the problematic of SMEs from different points of view emphasizing on the approach of European Union. Based on literature relevant indicators are selected and presented for each V4 country individually. Analytical part of the thesis analyses external environment conditions for SMEs within V4 region in 2014 through five groups of indicators: Taxation, Labour Cost, Demand, Corruption and Law Enforcement, and Easy of Doing Business. The whole analysis is conducted based on secondary data and method of indexes. All of the five groups of indicators are analysed separately and based on these results the final ranking is created. The results of the study show relatively similar business conditions for SMEs within V4 area with Poland having the best SMEs business environment in 2014.
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Analýza efektivnosti a výkonnosti ve vysokém školství / Efficiency and performance analysis of higher educationKrňávek, Jiří January 2015 (has links)
This thesis focuses on the efficiency and performance analysis of higher education in the Czech Republic. The theoretical part deals with interpretation of methods, which are then used in the practical part. These methods are data envelopment analysis (DEA) and methods of multi-criteria evaluation with cardinal information on criteria. Another important chapter of the theoretical part is the chapter about the most famous world rankings of universities and practice in this field in the Czech Republic. The practical part is divided into two sections. The first deals with the analysis of the efficiency of economic faculties on public universities in the Czech Republic from 2011 to 2013. The second one is aimed at the creation of a ranking of these faculties for 2015 using the methods of multi-criteria evaluation.
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Ranking / RankingBílková, Michaela January 2015 (has links)
The aim of the Master´s Thesis is the ranking of the selected sector of the Czech economy, specifically the group CZ NACE 1051: Milk processing, production of dairy products and cheese. In particular the evaluation of the financial performance of selected objects of ranking, creating charts according to specific criteria and their interpretation. The Thesis also provides examples of significant Czech and world rankings, which are more closely described and compared. The theoretical part describes the selection criteria and ranking methodology, followed by the selection and segmentation of objects included in the ranking. The practical part of the work is focused on ranking of companies based on their financial performance.
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Ranking finanční výkonnosti / Financial performance rankingČejka, Ladislav January 2015 (has links)
The subject-matter of this diploma thesis is a comparison of financial performance of issuers of selected stock titles listed on the official market of the RM-SYSTÉM, česká burza cenných papírů a.s. stock exchange from a potential investor's perspective. The comprehensive comparison of financial performance presented both in the numerical and the graphic form is achieved through the application of the ranking method based on evaluation criteria analysing financial performance in the years 2009 to 2015 with a view of economic power, profitability, stability and investor perspective. The ranking is compiled with the use of each of the evaluation criteria on the basis of weighted average, taking account of the up-to-datedness of the input data of pre-defined materiality coefficients, and on the basis of arithmetic average representing the median value for the calculation of absolute volatility expressed by the standard deviation.
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Simulation ranking and selection procedures and applications in network reliability designKiekhaefer, Andrew Paul 01 May 2011 (has links)
This thesis presents three novel contributions to the application as well as development of ranking and selection procedures. Ranking and selection is an important topic in the discrete event simulation literature concerned with the use of statistical approaches to select the best or set of best systems from a set of simulated alternatives. Ranking and selection is comprised of three different approaches: subset selection, indifference zone selection, and multiple comparisons. The methodology addressed in this thesis focuses primarily on the first two approaches: subset selection and indifference zone selection.
Our first contribution regards the application of existing ranking and selection procedures to an important body of literature known as system reliability design. If we are capable of modeling a system via a network of arcs and nodes, then the difficult problem of determining the most reliable network configuration, given a set of design constraints, is an optimization problem that we refer to as the network reliability design problem. In this thesis, we first present a novel solution approach for one type of network reliability design optimization problem where total enumeration of the solution space is feasible and desirable. This approach focuses on improving the efficiency of the evaluation of system reliabilities as well as quantifying the probability of correctly selecting the true best design based on the estimation of the expected system reliabilities through the use of ranking and selection procedures, both of which are novel ideas in the system reliability design literature. Altogether, this method eliminates the guess work that was previously associated with this design problem and maintains significant runtime improvements over the existing methodology.
Our second contribution regards the development of a new optimization framework for the network reliability design problem that is applicable to any topological and terminal configuration as well as solution sets of any sizes. This framework focuses on improving the efficiency of the evaluation and comparison of system reliabilities, while providing a more robust performance and user-friendly procedure in terms of the input parameter level selection. This is accomplished through the introduction of two novel statistical sampling procedures based on the concepts of ranking and selection: Sequential Selection of the Best Subset and Duplicate Generation. Altogether, this framework achieves the same convergence and solution quality as the baseline cross-entropy approach, but achieves runtime and sample size improvements on the order of 450% to 1500% over the example networks tested.
Our final contribution regards the development and extension of the general ranking and selection literature with novel procedures for the problem concerned with the selection of the -best systems, where system means and variances are unknown and potentially unequal. We present three new ranking and selection procedures: a subset selection procedure, an indifference zone selection procedure, and a combined two stage subset selection and indifference zone selection procedure. All procedures are backed by proofs of the theoretical guarantees as well as empirical results on the probability of correct selection. We also investigate the effect of various parameters on each procedure's overall performance.
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Supporting Entity-oriented Search with Fine-grained Information in Knowledge Graphs / 知識グラフ内の微細な情報を用いたエンティティ指向検索の支援Wiradee, Imrattanatrai 23 September 2020 (has links)
京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第22806号 / 情博第736号 / 新制||情||126(附属図書館) / 京都大学大学院情報学研究科社会情報学専攻 / (主査)教授 吉川 正俊, 教授 森 信介, 教授 田島 敬史 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM
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