Hey Queens!

Drag has been a part of society since as early as Ancient Greece. However, the art form has evolved throughout the centuries and is still evolving today. Modern day drag is commonly associated with RuPaul Charles and his achievements as a drag performer. He has helped pave the way for present and future drag performers to express themselves through the art form. The mainstreaming of drag has had numerous positive and negative impacts on the LGBTQIA+ community. This thesis documents the history of the art form and how it interacts with individual performers and society. This thesis consists of two parts: the audio podcast and the written script

Managing and Querying Multi-Version XML Data with Update Logging

With the increasing popularity of storing content on the WWW and intranet in XML form, there arises the need for the control and management of this data. As this data is constantly evolving, users want to be able to query previous versions, query changes in documents, as well as to retrieve a particular document version efficiently. This paper proposes a version management system for XML data that can manage and query changes in an effective and meaningful manner

Document Retrieval, Automatic

Document Retrieval is the computerized process of producing a relevance ranked list of documents in response to an inquirer’s request by comparing their request to an automatically produced index of the documents in the system. Everyone uses such systems today in the form of web-based search engines. While evolving from a fairly small discipline in the 1940s, to a large, profitable industry today, the field has maintained a healthy research focus, supported by test collections and large-scale annual comparative tests of systems. A document retrieval system is comprised of three core modules: document processor, query analyzer, and matching function. There are several theoretical models on which document retrieval systems are based: Boolean, Vector Space, Probabilistic, and Language Model

CYBERTERRORYZM ,,KONIEM TROJAŃSKIM” W DOBIE GLOBALIZACJI

The aim of the article is the general characterization of cyberterrorism as a new and constantly evolving form of terrorism. The phenomenon was described in the context of globalization processes and the main definitions of terrorism were cited, followed by the specific factors determining cyberterrorism. The article was based on an analysis of source documents – legislation on terrorismprevention and cyberspace protection. Definitions review was performed. The results of earlier research related to the topic of work are quoted.It has been assessed that in the future the threat of cyber-attacks will be a challenge for states and international organizations. The development of modern technologies and the creation of computerized societies is a factor that provides new areas of action for terrorists. Potential targets of attacks are varied and difficult to protect. Preventive actions should be characterized by a comprehensive approach to the problem and systemic, long-term action in the international sphere.The aim of the article is the general characterization of cyberterrorism as a new and constantly evolving form of terrorism. The phenomenon was described in the context of globalization processes and the main definitions of terrorism were cited, followed by the specific factors determining cyberterrorism. The article was based on an analysis of source documents – legislation on terrorism prevention and cyberspace protection. Definitions review was performed. The results of earlier research related to the topic of work are quoted. It has been assessed that in the future the threat of cyber-attacks will be a challenge for states and international organizations. The development of modern technologies and the creation of computerized societies is a factor that provides new areas of action for terrorists. Potential targets of attacks are varied and difficult to protect. Preventive actions should be characterized by a comprehensive approach to the problem and systemic, long-term action in the international sphere

Evolving text classification rules with genetic programming

We describe a novel method for using genetic programming to create compact classification rules using combinations of N-grams (character strings). Genetic programs acquire fitness by producing rules that are effective classifiers in terms of precision and recall when evaluated against a set of training documents. We describe a set of functions and terminals and provide results from a classification task using the Reuters 21578 dataset. We also suggest that the rules may have a number of other uses beyond classification and provide a basis for text mining applications

The 1963 Ford Foundation Program for Film Makers and the Networks of Experimental Cinema

In June 1963, the Ford Foundation's Humanities and the Arts program sent out a call for nominations for their Program for Film Makers. Nine months later, in March 1964, twelve American filmmakers received grants of 10,000 dollars "to enable a limited number of creative film makers to extend and deepen their artistic experience and productivity." The documents surrounding the creation and development of this one-time grant in support of experimental filmmaking reveal the challenges facing private foundations engaged with an evolving and diverse art form. Furthermore, they counter a representation of experimental filmmaking as individualistic and author-centered by uncovering networks of support among artists and the cultural milieu that sustained their works

Evolving Lucene search queries for text classification

We describe a method for generating accurate, compact, human understandable text classifiers. Text datasets are indexed using Apache Lucene and Genetic Programs are used to construct Lucene search queries. Genetic programs acquire fitness by producing queries that are effective binary classifiers for a particular category when evaluated against a set of training documents. We describe a set of functions and terminals and provide results from classification tasks

Evolving rules for document classification

We describe a novel method for using Genetic Programming to create compact classification rules based on combinations of N-Grams (character strings). Genetic programs acquire fitness by producing rules that are effective classifiers in terms of precision and recall when evaluated against a set of training documents. We describe a set of functions and terminals and provide results from a classification task using the Reuters 21578 dataset. We also suggest that because the induced rules are meaningful to a human analyst they may have a number of other uses beyond classification and provide a basis for text mining applications