The effects of word prediction and text-to-speech technologies on the narrative writing skills of students with specific learning disabilities

This study investigated the effects of word prediction and text-to-speech on the narrative composition writing skills of 6, fifth-grade Hispanic boys with specific learning disabilities (SLD). A multiple baseline design across subjects was used to explore the efficacy of word prediction and text-to-speech alone and in combination on four dependent variables: writing fluency (words per minute), syntax (T-units), spelling accuracy, and overall organization (holistic scoring rubric). Data were collected and analyzed during baseline, assistive technology interventions, and at 2-, 4-, and 6-week maintenance probes. ^ Participants were equally divided into Cohorts A and B, and two separate but related studies were conducted. Throughout all phases of the study, participants wrote narrative compositions for 15-minute sessions. During baseline, participants used word processing only. During the assistive technology intervention condition, Cohort A participants used word prediction followed by word prediction with text-to-speech. Concurrently, Cohort B participants used text-to-speech followed by text-to-speech with word prediction. ^ The results of this study indicate that word prediction alone or in combination with text-to-speech has a positive effect on the narrative writing compositions of students with SLD. Overall, participants in Cohorts A and B wrote more words, more T-units, and spelled more words correctly. A sign test indicated that these perceived effects were not likely due to chance. Additionally, the quality of writing improved as measured by holistic rubric scores. When participants in Cohort B used text-to-speech alone, with the exception of spelling accuracy, inconsequential results were observed on all dependent variables. ^ This study demonstrated that word prediction alone or in combination assists students with SLD to write longer, improved-quality, narrative compositions. These results suggest that word prediction or word prediction with text-to-speech be considered as a writing support to facilitate the production of a first draft of a narrative composition. However, caution should be given to the use of text-to-speech alone as its effectiveness has not been established. Recommendations for future research include investigating the use of these technologies in other phases of the writing process, with other student populations, and with other writing styles. Further, these technologies should be investigated while integrated into classroom composition instruction. ^

Off-line and on-line affective recognition of a computer user through a biosignal processing approach

Physiological signals, which are controlled by the autonomic nervous system (ANS), could be used to detect the affective state of computer users and therefore find applications in medicine and engineering. The Pupil Diameter (PD) seems to provide a strong indication of the affective state, as found by previous research, but it has not been investigated fully yet. ^ In this study, new approaches based on monitoring and processing the PD signal for off-line and on-line affective assessment ("relaxation" vs. "stress") are proposed. Wavelet denoising and Kalman filtering methods are first used to remove abrupt changes in the raw Pupil Diameter (PD) signal. Then three features (PDmean, PDmax and PDWalsh) are extracted from the preprocessed PD signal for the affective state classification. In order to select more relevant and reliable physiological data for further analysis, two types of data selection methods are applied, which are based on the paired t-test and subject self-evaluation, respectively. In addition, five different kinds of the classifiers are implemented on the selected data, which achieve average accuracies up to 86.43% and 87.20%, respectively. Finally, the receiver operating characteristic (ROC) curve is utilized to investigate the discriminating potential of each individual feature by evaluation of the area under the ROC curve, which reaches values above 0.90. ^ For the on-line affective assessment, a hard threshold is implemented first in order to remove the eye blinks from the PD signal and then a moving average window is utilized to obtain the representative value PDr for every one-second time interval of PD. There are three main steps for the on-line affective assessment algorithm, which are preparation, feature-based decision voting and affective determination. The final results show that the accuracies are 72.30% and 73.55% for the data subsets, which were respectively chosen using two types of data selection methods (paired t-test and subject self-evaluation). ^ In order to further analyze the efficiency of affective recognition through the PD signal, the Galvanic Skin Response (GSR) was also monitored and processed. The highest affective assessment classification rate obtained from GSR processing is only 63.57% (based on the off-line processing algorithm). The overall results confirm that the PD signal should be considered as one of the most powerful physiological signals to involve in future automated real-time affective recognition systems, especially for detecting the "relaxation" vs. "stress" states.^

Racialized sexualities within the romance tour industry: The influence of affect and emotion upon transnational hierarchies of desire

Online international introduction sites that offer romance tours to American men in search of a foreign bride are an important and rapidly growing component of the internet dating industry; the number of these agencies in the U.S. tripled from two hundred to six hundred in the past 10 years. Previous scholars have examined the so-called `mail order bride' industry in order to demonstrate that the women involved are agents and not victims. Many scholars have also highlighted the importance of race in shaping American men's desires in one particular region or country. My dissertation provides an important addition to the literature surrounding romance tourism by including participants from all three major regions associated with romance tourism: Eastern Europe, South America, and Southeast Asia. I collected the data for the dissertation by becoming a participant observer of a romance tour in Ukraine, Colombia, and the Philippines. I argue that romance tourism is an important example of the global intimate, and the ways in which globalized processes are created and sustained through everyday intimate emotions and interactions. By examining the ways in which the emotions of desire, disgust, and anxiety influence individual romance tour participant's constructions of racialized hierarchies, the links between individual emotions and global systems are revealed. The concept of the global intimate challenges the hierarchy of scale that places the body, the home, and the intimate on a much lower level than the scale of the global or the national, and at the same time challenges the binary that divides the individual from the global. Through highlighting the different emotional negotiations that are constantly occurring in the romance tour industry, I highlight the important ways in which individual emotions and affects influence global processes on a large scale and vice versa.^

Text analytics of social media: Sentiment analysis, event detection and summarization

In the last decade, large numbers of social media services have emerged and been widely used in people's daily life as important information sharing and acquisition tools. With a substantial amount of user-contributed text data on social media, it becomes a necessity to develop methods and tools for text analysis for this emerging data, in order to better utilize it to deliver meaningful information to users. ^ Previous work on text analytics in last several decades is mainly focused on traditional types of text like emails, news and academic literatures, and several critical issues to text data on social media have not been well explored: 1) how to detect sentiment from text on social media; 2) how to make use of social media's real-time nature; 3) how to address information overload for flexible information needs. ^ In this dissertation, we focus on these three problems. First, to detect sentiment of text on social media, we propose a non-negative matrix tri-factorization (tri-NMF) based dual active supervision method to minimize human labeling efforts for the new type of data. Second, to make use of social media's real-time nature, we propose approaches to detect events from text streams on social media. Third, to address information overload for flexible information needs, we propose two summarization framework, dominating set based summarization framework and learning-to-rank based summarization framework. The dominating set based summarization framework can be applied for different types of summarization problems, while the learning-to-rank based summarization framework helps utilize the existing training data to guild the new summarization tasks. In addition, we integrate these techneques in an application study of event summarization for sports games as an example of how to better utilize social media data. ^

Text Analytics of Social Media: Sentiment Analysis, Event Detection and Summarization

In the last decade, large numbers of social media services have emerged and been widely used in people's daily life as important information sharing and acquisition tools. With a substantial amount of user-contributed text data on social media, it becomes a necessity to develop methods and tools for text analysis for this emerging data, in order to better utilize it to deliver meaningful information to users. Previous work on text analytics in last several decades is mainly focused on traditional types of text like emails, news and academic literatures, and several critical issues to text data on social media have not been well explored: 1) how to detect sentiment from text on social media; 2) how to make use of social media's real-time nature; 3) how to address information overload for flexible information needs. In this dissertation, we focus on these three problems. First, to detect sentiment of text on social media, we propose a non-negative matrix tri-factorization (tri-NMF) based dual active supervision method to minimize human labeling efforts for the new type of data. Second, to make use of social media's real-time nature, we propose approaches to detect events from text streams on social media. Third, to address information overload for flexible information needs, we propose two summarization framework, dominating set based summarization framework and learning-to-rank based summarization framework. The dominating set based summarization framework can be applied for different types of summarization problems, while the learning-to-rank based summarization framework helps utilize the existing training data to guild the new summarization tasks. In addition, we integrate these techneques in an application study of event summarization for sports games as an example of how to better utilize social media data.

Hiearchies of Eating Disorders: Fat-Phobia and Internalized Beauty Ideals in Online Communities

Research and discourse on Eating Disorders (ED) have a tendency to perpetuate certain stereotypes regarding women of color, however unintentional or innocuous it may appear. The research conducted, does show that the prominent ED within communities of minorities or of lower social status is Binge Eating Disorder (BED). A Foucauldian discourse analysis of online forums by young women with ED, such as myproana.com, would be the primary method of documenting how these women form a hierarchy of the community's ED, and analyze if it correlates with the social status primarily associated with the Eating Disorder. Within these forums, and ED based communities, a clear hierarchy is formed, with Anorexia Nervosa at the top and BED at the bottom. From the minimal research available on women of color and ED, it is clear that, for Black women at least, BED is the most common—and thus it is my goal to explore any possible correlation if applicable. Because so little exists that focuses on EDs in women of color, this analysis may help to promote more research in race and class dynamics of Eating Disorders, as well on how those factors affect how women view their own bodies.

Off-line and On-line Affective Recognition of a Computer User through A Biosignal Processing Approach

Physiological signals, which are controlled by the autonomic nervous system (ANS), could be used to detect the affective state of computer users and therefore find applications in medicine and engineering. The Pupil Diameter (PD) seems to provide a strong indication of the affective state, as found by previous research, but it has not been investigated fully yet. In this study, new approaches based on monitoring and processing the PD signal for off-line and on-line affective assessment (“relaxation” vs. “stress”) are proposed. Wavelet denoising and Kalman filtering methods are first used to remove abrupt changes in the raw Pupil Diameter (PD) signal. Then three features (PDmean, PDmax and PDWalsh) are extracted from the preprocessed PD signal for the affective state classification. In order to select more relevant and reliable physiological data for further analysis, two types of data selection methods are applied, which are based on the paired t-test and subject self-evaluation, respectively. In addition, five different kinds of the classifiers are implemented on the selected data, which achieve average accuracies up to 86.43% and 87.20%, respectively. Finally, the receiver operating characteristic (ROC) curve is utilized to investigate the discriminating potential of each individual feature by evaluation of the area under the ROC curve, which reaches values above 0.90. For the on-line affective assessment, a hard threshold is implemented first in order to remove the eye blinks from the PD signal and then a moving average window is utilized to obtain the representative value PDr for every one-second time interval of PD. There are three main steps for the on-line affective assessment algorithm, which are preparation, feature-based decision voting and affective determination. The final results show that the accuracies are 72.30% and 73.55% for the data subsets, which were respectively chosen using two types of data selection methods (paired t-test and subject self-evaluation). In order to further analyze the efficiency of affective recognition through the PD signal, the Galvanic Skin Response (GSR) was also monitored and processed. The highest affective assessment classification rate obtained from GSR processing is only 63.57% (based on the off-line processing algorithm). The overall results confirm that the PD signal should be considered as one of the most powerful physiological signals to involve in future automated real-time affective recognition systems, especially for detecting the “relaxation” vs. “stress” states.

Racialized Sexualities within the Romance Tour Industry: the Influence of Affect and Emotion Upon Transnational Hierarchies of Desire

Online international introduction sites that offer romance tours to American men in search of a foreign bride are an important and rapidly growing component of the internet dating industry; the number of these agencies in the U.S. tripled from two hundred to six hundred in the past 10 years. Previous scholars have examined the so-called ‘mail order bride’ industry in order to demonstrate that the women involved are agents and not victims. Many scholars have also highlighted the importance of race in shaping American men’s desires in one particular region or country. My dissertation provides an important addition to the literature surrounding romance tourism by including participants from all three major regions associated with romance tourism: Eastern Europe, South America, and Southeast Asia. I collected the data for the dissertation by becoming a participant observer of a romance tour in Ukraine, Colombia, and the Philippines. I argue that romance tourism is an important example of the global intimate, and the ways in which globalized processes are created and sustained through everyday intimate emotions and interactions. By examining the ways in which the emotions of desire, disgust, and anxiety influence individual romance tour participant’s constructions of racialized hierarchies, the links between individual emotions and global systems are revealed. The concept of the global intimate challenges the hierarchy of scale that places the body, the home, and the intimate on a much lower level than the scale of the global or the national, and at the same time challenges the binary that divides the individual from the global. Through highlighting the different emotional negotiations that are constantly occurring in the romance tour industry, I highlight the important ways in which individual emotions and affects influence global processes on a large scale and vice versa.

Facing a paradigm shift in professional credentialing: Preparedness of registered dietitians for Professional Development 2001

In the year 2001, the Commission on Dietetic Registration (CDR) will begin a new process of recertifying Registered Dietitians (RD) using a self-directed lifelong learning portfolio model. The model, entitled Professional Development 2001 (PD 2001), is designed to increase competency through targeted learning. This portfolio consists of five steps: reflection, learning needs assessment, formulation of a learning plan, maintenance of a learning log, and evaluation of the learning plan. By targeting learning, PD 2001 is predicted to foster more up-to-date practitioners than the current method that requires only a quantity of continuing education hours. This is the first major change in the credentialing system since 1975. The success or failure of the new system will impact the future of approximately 60,000 practitioners. The purpose of this study was to determine the readiness of RDs to change to the new system. Since the model is dependent on setting goals and developing learning plans, this study examined the methods dietitians use to determine their five-year goals and direction in practice. It also determined RD's attitudes towards PD 2001 and identified some of the factors that influenced their beliefs. A dual methodological design using focus groups and questionnaires was utilized. Sixteen focus groups were held during state dietetic association meetings. Demographic data was collected on the 132 registered dietitians who participated in the focus groups using a self-administered questionnaire. The audiotaped sessions were transcribed into 643 pages of text and analyzed using Non-numerical Unstructured Data - Indexing Searching and Theorizing (NUD*IST version 4). Thirty-four of the 132 participants (26%) had formal five-year goals. Fifty-four participants (41%) performed annual self-assessments. In general, dietitians did not currently have professional goals nor conduct self-assessments and they claimed they did not have the skills or confidence to perform these tasks. Major barriers to successful implementation of PD 2001 are uncertainty, misinterpretation, and misinformation about the process and purpose, which in turn contribute to negative impressions. Renewed vigor to provide a positive, accurate message along with presenting goal-setting strategies will be necessary for better acceptance of this professional development process. ^

Eastern Orthodox Christian fasting in northeastern Pennsylvania

The purpose of this research was to examine the fasting practices of Eastern Orthodox Christians (EOCs) in northeastern Pennsylvania. Fasting, according to Eastern Orthodox Church doctrine, is primarily abstinence from meat, dairy products, fish and certain other foods during Easter Lent and other periods, for approximately 180 days annually. Goals were to discern what EOCs consider their fasting rules to be, their actual fasting practices, what factors influence this practice and the relationship of fasting to nutrition. Methodology included 29 months of ethnographic fieldwork at local parishes, content analysis of local written materials and semi-structured interviews of 58 core church members. A pile sort was conducted whereby subjects classified various foods according to fasting or non-fasting status and then sorted the fasting foods into a hierarchy of avoidance. Data were analyzed using ANTHROPAC and NVivo software. Results included identification of a cognitive hierarchy of avoidance, with meat the most important to avoid, followed by dairy and alcoholic beverages. An important finding was the differences in subjects' knowledge of Church doctrine and a wide variation in their actual fasting practices. Contrary to Church doctrine, fish was not usually perceived as a food to abstain from. A historic Byzantine Catholic presence in the area (with a different fasting doctrine), family members who did not fast, and health concerns were some factors that affected fasting practices. A conclusion is that while meat, dairy and alcoholic beverages were usually categorized as foods to avoid during fasts, it is not possible to generalize with regard to actual practices or the impact of fasting on nutrition, due to individual variation. It was demonstrated that qualitative data could provide information that can be crucial to know prior to conducting quantitative nutrition research or counseling. Findings of this study suggest that one cannot assume subjects who belong to a given religion that has prescribed food avoidance practices are following them homogeneously and/or according to official doctrine. ^

Square and compass: Freemasonry's tools for constructing a global civil society

The concept of a global civil society is gaining greater acceptance among International Relations (IR) scholars, yet few studies exist that look at the role of fraternal organizations and their influence in constructing this realm. Freemasonry, one of the oldest fraternal orders, exerts a powerful influence on its membership through its symbolism, architecture and ritual, based on the tenets of mutual respect and tolerance towards all human beings. Such principles helped in creating a body of practices and institutions as early as the eighteenth century which two hundred years later were identified and conceptualized as global civil society. ^ The allegations of anti-Masons and conspiracy theorists offer a continuous account of Masonry's influence on the political scene since its modern founding in 1717 Great Britain. Conspiracy theorists portray the coming of a New World Order, orchestrated and directed by a secret hierarchy of Masons/Illuminati. Even though the lens of conspiracy theories paints a distorted view of reality, it does focus attention to Freemasonry's activities as a major player in politics over the span of three centuries. Not only do such theories challenge the novelty of practices that make up a global civil society, but also the notion that it is an inclusive and growing sector that unites people across the globe. They also provide a valuable critique by pointing out the inconsistencies and discriminatory practices of Masonry as contrasted with the lofty ideals and aims for humanity. ^ The Masonic influence in the social world is perceived as one that reflects the liberal worldview where the nation-state and power structures are in pursuit of human progress, or profit. The symbolism of Masonry, however, carries a message that can be characterized as representing republican ideals. Masonic symbolism and ritual create spaces of meaning where the contradictions between the ideals and the structures of inequality and elitism can be resolved. Freemasonry as a symbolic system proclaiming their inherent republican values does have a global reach. However, the effectiveness of these values is bounded by the constraints that are inherent in a liberal world dominated by nation-states. ^

Framework for enterprise systems engineering

This research aimed at developing a research framework for the emerging field of enterprise systems engineering (ESE). The framework consists of an ESE definition, an ESE classification scheme, and an ESE process. This study views an enterprise as a system that creates value for its customers. Thus, developing the framework made use of system theory and IDEF methodologies. This study defined ESE as an engineering discipline that develops and applies systems theory and engineering techniques to specification, analysis, design, and implementation of an enterprise for its life cycle. The proposed ESE classification scheme breaks down an enterprise system into four elements. They are work, resources, decision, and information. Each enterprise element is specified with four system facets: strategy, competency, capacity, and structure. Each element-facet combination is subject to the engineering process of specification, analysis, design, and implementation, to achieve its pre-specified performance with respect to cost, time, quality, and benefit to the enterprise. This framework is intended for identifying research voids in the ESE discipline. It also helps to apply engineering and systems tools to this emerging field. It harnesses the relationships among various enterprise aspects and bridges the gap between engineering and management practices in an enterprise. The proposed ESE process is generic. It consists of a hierarchy of engineering activities presented in an IDEF0 model. Each activity is defined with its input, output, constraints, and mechanisms. The output of an ESE effort can be a partial or whole enterprise system design for its physical, managerial, and/or informational layers. The proposed ESE process is applicable to a new enterprise system design or an engineering change in an existing system. The long-term goal of this study aims at development of a scientific foundation for ESE research and development.

Improving caches in consolidated environments

Memory (cache, DRAM, and disk) is in charge of providing data and instructions to a computer's processor. In order to maximize performance, the speeds of the memory and the processor should be equal. However, using memory that always match the speed of the processor is prohibitively expensive. Computer hardware designers have managed to drastically lower the cost of the system with the use of memory caches by sacrificing some performance. A cache is a small piece of fast memory that stores popular data so it can be accessed faster. Modern computers have evolved into a hierarchy of caches, where a memory level is the cache for a larger and slower memory level immediately below it. Thus, by using caches, manufacturers are able to store terabytes of data at the cost of cheapest memory while achieving speeds close to the speed of the fastest one.^ The most important decision about managing a cache is what data to store in it. Failing to make good decisions can lead to performance overheads and over-provisioning. Surprisingly, caches choose data to store based on policies that have not changed in principle for decades. However, computing paradigms have changed radically leading to two noticeably different trends. First, caches are now consolidated across hundreds to even thousands of processes. And second, caching is being employed at new levels of the storage hierarchy due to the availability of high-performance flash-based persistent media. This brings four problems. First, as the workloads sharing a cache increase, it is more likely that they contain duplicated data. Second, consolidation creates contention for caches, and if not managed carefully, it translates to wasted space and sub-optimal performance. Third, as contented caches are shared by more workloads, administrators need to carefully estimate specific per-workload requirements across the entire memory hierarchy in order to meet per-workload performance goals. And finally, current cache write policies are unable to simultaneously provide performance and consistency guarantees for the new levels of the storage hierarchy.^ We addressed these problems by modeling their impact and by proposing solutions for each of them. First, we measured and modeled the amount of duplication at the buffer cache level and contention in real production systems. Second, we created a unified model of workload cache usage under contention to be used by administrators for provisioning, or by process schedulers to decide what processes to run together. Third, we proposed methods for removing cache duplication and to eliminate wasted space because of contention for space. And finally, we proposed a technique to improve the consistency guarantees of write-back caches while preserving their performance benefits.^

Under the ABC Umbrella: Orphanages, Rights, and Education in Mexico

The National System for the Integral Development of the Family (DIF) in Mexico assists children in orphanages. This paper provides an overview of its current practices, and advocates a holistic educational/social model for “alternative orphanages,” integrating Maslow’s Hierarchy of Needs and the rights-based approach. The model complements DIF’s social efforts.