This report is a description of a three-month internship from January 20, 1992 through April 20, 1992 with the New Orleans Opera Association where the intern was the assistant to the Director of Development/Marketing/Public Relations. The New Orleans Opera celebrates 50 years of financial and artistic success in the 1992/93 season and serves as an example to other arts organizations not only in New Orleans but throughout the United States. Over this fifty-year life, however, the organization has not adjusted its managerial practices sufficiently to compensate for the change throughout the business and arts-related industries; consequently, the Association operates with outdated thoughts and customs. Within the scheme of operations, however, is a very successful fundraising organization buttressed by the support of extremely loyal patrons and sold-out houses. The intern will give an overview of the organization and explain her duties and responsibilities with short and long-term effects on the Association.

Yeung Wing Kai. / "Architecture Department, Chinese University of Hong Kong, Master of Architecture Programme 2002-2003, design report." / Includes bibliographical references (leaf [156]). / Introduction --- p.3 / Thesis proposal --- p.4-13 / The ConnectinglTransitiorillntermediate Space between Building and Environment --- p.14 / Schedules --- p.15-16 / Proposed Client´ؤHong Kong Football Association / Existing Location / Plans of the HKFA Building --- p.17-21 / "Interview with Martin Lam, General Secretary of HKFA" --- p.22-26 / Researches --- p.27-43 / Site Information / Site Selection --- p.44-47 / "Site Analysis ,Site Potentials and Constraints" --- p.48-71 / Design Developments --- p.72 / Prelimary Design --- p.73-86 / Sketches of Ideas --- p.87-91 / Scheme01 --- p.92-98 / Scheme02 --- p.99-103 / Scheme03 --- p.104-116 / Scheme04 --- p.117-131 / Final Design --- p.132-151 / Appendix --- p.152 / Otters to Building Department --- p.153-154 / Letters to HKFA asking for interviews --- p.155 / Biblography --- p.156

Thesis (PH. D.)--University of Chicago, 1909. / Includes bibliographical references. Also available on the Internet.

Thesis (Ph. D.)--Virginia Polytechnic Institute and State University, 1982. / Vita. Abstract. Includes bibliographical references (leaves 558-562). Also available via the Internet.

Introduction The present study evaluated reported methodological characteristics of GWAS, investigating relationships between reported methodological characteristics and outcomes observed. Methods GWAS were identified from NHGRI’s catalogue of GWAS (2005 to 2009). Multivariate meta-regression models (random effects) were produced to identify the impact of reported study characteristics and the strength of relationships between the variables and outcomes. Results The summary odds ratios for replication components of GWAS in cancer was 1.34 (95% CI 1.25, 1.43) and neuropsychiatric disorders was 1.43 (95% CI 1.30, 1.57). Heterogeneity was accounted for by nature of the control group, relationship between case/control groups, whether cases/controls were drawn from the same population, if data was a primary collection or a build on pre-existing data, if quality assurance was reported, and if the study reported power/sample size. Conclusion Evidence supports the existence of variability in reporting, with index components demonstrating less variability than replication components in the GWAS.

Introduction The present study evaluated reported methodological characteristics of GWAS, investigating relationships between reported methodological characteristics and outcomes observed. Methods GWAS were identified from NHGRI’s catalogue of GWAS (2005 to 2009). Multivariate meta-regression models (random effects) were produced to identify the impact of reported study characteristics and the strength of relationships between the variables and outcomes. Results The summary odds ratios for replication components of GWAS in cancer was 1.34 (95% CI 1.25, 1.43) and neuropsychiatric disorders was 1.43 (95% CI 1.30, 1.57). Heterogeneity was accounted for by nature of the control group, relationship between case/control groups, whether cases/controls were drawn from the same population, if data was a primary collection or a build on pre-existing data, if quality assurance was reported, and if the study reported power/sample size. Conclusion Evidence supports the existence of variability in reporting, with index components demonstrating less variability than replication components in the GWAS.

none

None

In plural democratic societies, individuals or organizations often use all kinds of channels to express opinions to governments and tend to impact or change particular policies on behalf of themselves. Though it is ordinary phenomenon in democratic systems; while¡A the source is limited, and its distributions have been done to be as possibly fair as we can. If pressure groups lobby in policymaking process, it might lead in such problems as corruptions, tortuosity benefits feeding and illegalities, etc. It does not only decline the policy-making qualities, but also is unfair to the citizens. To prevent this kind of canker and to improve the fairness and justice of policymaking process, we should establish a system of adequate lobbying disclosure laws. In one hand, protecting people¡¦s rights to petite to public departments, the freedom to speak, the freedom to associate; in the other hand, making a lobbying and meaningful law that suits for the political environments. For the goals above, the article will discuss the theories about lobbying, the law making process of the lobbying law, and introduce the lobbying legist rations and experiences in America. Finally, the advance research developments and suggestions Are offered.

Discovery of {it association rules} is an important problem in the area of data mining. Given a database of sales transactions, it is desirable to discover the important associations among items such that the presence of some items in a transaction will imply the presence of other items in the same transaction. Since mining association rules may require to repeatedly scan through a large transaction database to find different association patterns, the amount of processing could be huge, and performance improvement is an essential concern. Among this problem, how to efficiently {it count large itemsets} is the major work, where a large itemset is a set of items appearing in a sufficient number of transactions. In this thesis, we propose efficient algorithms for mining association rules based on a high-level set-based approach. A set-based approach allows a clear expression of what needs to be done as opposed to specifying exactly how the operations are carried out in a low-level approach, where a low-level approach means to retrieve one tuple from the database at a time. The advantage of the set-based approach, like the SETM algorithm, is simple and stable over the range of parameter values. However, the SETM algorithm proposed by Houtsma and Swami may generate too many invalid candidate itemsets. Therefore, in this thesis, we propose a set-based algorithm called SETM*, which provides the same advantages of the SETM algorithm, while it avoids the disadvantages of the SETM algorithm. In the SETM* algorithm, we reduce the size of the candidate database by modifying the way of constructing it, where a candidate database is a transaction database formed with candidate $k$-itemsets. Then, based on the new way to construct the candidate database in the SETM* algorithm, we propose SETM*-2K, mbox{SETM*-MaxK} and SETM*-Lmax algorithms. In the SETM*-2K algorithm, given a $k$, we efficiently construct $L_{k}$ based on $L_{w}$, where $w=2^{lceil log_{2}k ceil - 1}$, instead of step by step. In the SETM*-MaxK algorithm, we efficiently to find the $L_{k}$ based on $L_{w}$, where $L_{k} ot= emptyset, L_{k+1}=emptyset$ and $w=2^{lceil log_{2}k ceil - 1}$, instead of step by step. In the SETM*-Lmax algorithm, we use a forward approach to find all maximal large itemsets from $L_{k}$, and the $k$-itemset is not included in the $k$-subsets of the $j$-itemset, except $k=MaxK$, where $1 leq k < j leq MaxK$, $L_{MaxK} ot= emptyset$ and $L_{MaxK+1}=emptyset$. We conduct several experiments using different synthetic relational databases. The simulation results show that the SETM* algorithm outperforms the SETM algorithm in terms of storage space or the execution time for all relational database settings. Moreover, we show that the proposed SETM*-2K and SETM*-MaxK algorithms also require shorter time to achieve their goals than the SETM or SETM* algorithms. Furthermore, we also show that the proposed forward approach (SETM*-Lmax) to find all maximal large itemsets requires shorter time than the backward approach proposed by Agrawal.