Theoretical Foundations of a Study Examining Adolescent Literature and Rape Myth Acceptance

Adolescents are at the greatest risk for victimization and perpetration of sexual assault. This paper examines the current trends in literacy education which marginalize aesthetic reading experiences and using reader response theory, and argues that young adult literature may provide an opportunity to reduce rape myth acceptance in adolescents.

The Five Foundations of Leadership in Japan's Lodging Industry

This article discusses the results of pioneer research done by Michigan State University's School of Hotel, Restaurant and Institutional Management researchers, in cooperation with the Japanese Management Association, on the foundations of Japanese lodging industry leadership. While the results presented here simply represent the opinions of CEOs and presidents in Japan's lodging industry, the research offers an insight into leadership foundations and the results provide a guide for developing leadership skills in those who aspire to be future leaders in Japan’s lodging industry

Content Analysis of Outcome Assessment of Global Learning Foundations Courses: A Case Study

This study used content analysis to interpret and evaluate outcome evaluation matrices of undergraduate Global Learning foundations courses. The findings revealed a lack of uniformity in the faculty members’ interpretation and implementation of global learning components in the coursework. Successful teaching practices and challenges were identified and classified.

Oman's foreign policy: Foundations and practice

The object of this dissertation is to record and analyze the foreign policy of the Sultanate of Oman from the early twentieth century until 2004. It challenges the central assumption of the contemporary scholarship on the subject that Muscat's modern foreign policy begins in 1970. It is often presumed that the pre-1970 era does not merit a thorough investigation to understand Muscat's modus operandi today. This study argues that for a comprehensive understanding of Muscat's foreign policy since 1970, the frontier of the historical analysis of Oman's regional and international involvement should be pushed back to the 1930's, when the young Sultan Said assumed power over the country divided by the "Treaty" or the "Agreement" of Sib. Indeed, the thrust of this research lies at once in repudiating the conventional wisdom regarding both the persona of Sultan Said and the customary political/historical narrative of Said's reign. The critical analysis of this period is utilized to rebut the pervasive and largely inaccurate historical narrative of the events prior to 1970, to recount an original interpretation of the period, and to use the narrative as a preamble for subsequent foreign policy directions and initiatives. Furthermore, this dissertation covers the gaps in the literature resulting from the absence of any materials that either record or analyze Muscat's foreign policy from 1996 until 2004. In addition, his study provides new information and a fresh analysis of the international relations of the region, including great power rivalry, especially the competition between the United States and Great Britain, and the attitudes of major regional actors, such as Iran, Saudi Arabia, and Iraq. ^ The use of a thorough historical inquiry is vital to support the central claim of this dissertation; therefore, a large section of this dissertation is based almost exclusively on archival materials collected from the British Public Records Office, the University of Oxford and the Library of Congress. This project represents the most comprehensive use of archival materials on the subject matter to date. ^

Foundations of quantitative information flow: Channels, cascades, and the information order

Secrecy is fundamental to computer security, but real systems often cannot avoid leaking some secret information. For this reason, the past decade has seen growing interest in quantitative theories of information flow that allow us to quantify the information being leaked. Within these theories, the system is modeled as an information-theoretic channel that specifies the probability of each output, given each input. Given a prior distribution on those inputs, entropy-like measures quantify the amount of information leakage caused by the channel. ^ This thesis presents new results in the theory of min-entropy leakage. First, we study the perspective of secrecy as a resource that is gradually consumed by a system. We explore this intuition through various models of min-entropy consumption. Next, we consider several composition operators that allow smaller systems to be combined into larger systems, and explore the extent to which the leakage of a combined system is constrained by the leakage of its constituents. Most significantly, we prove upper bounds on the leakage of a cascade of two channels, where the output of the first channel is used as input to the second. In addition, we show how to decompose a channel into a cascade of channels. ^ We also establish fundamental new results about the recently-proposed g-leakage family of measures. These results further highlight the significance of channel cascading. We prove that whenever channel A is composition refined by channel B, that is, whenever A is the cascade of B and R for some channel R, the leakage of A never exceeds that of B, regardless of the prior distribution or leakage measure (Shannon leakage, guessing entropy leakage, min-entropy leakage, or g-leakage). Moreover, we show that composition refinement is a partial order if we quotient away channel structure that is redundant with respect to leakage alone. These results are strengthened by the proof that composition refinement is the only way for one channel to never leak more than another with respect to g-leakage. Therefore, composition refinement robustly answers the question of when a channel is always at least as secure as another from a leakage point of view.^

Oman's foreign policy : foundations and practice

The object of this dissertation is to record and analyze the foreign policy of the Sultanate of Oman from the early twentieth century until 2004. It challenges the central assumption of the contemporary scholarship on the subject that Muscat's modern foreign policy begins in 1970. It is often presumed that the pre-1970 era does not merit a thorough investigation to understand Muscat's modus operandi today. This study argues that for a comprehensive understanding of Muscat's foreign policy since 1970, the frontier of the historical analysis of Oman's regional and international involvement should be pushed back to the 1930's, when the young Sultan Said assumed power over the country divided by the "Treaty" or the "Agreement" of Sib. Indeed, the thrust of this research lies at once in repudiating the conventional wisdom regarding both the persona of Sultan Said and the customary political/historical narrative of Said's reign. The critical analysis of this period is utilized to rebut the pervasive and largely inaccurate historical narrative of the events prior to 1970, to recount an original interpretation of the period, and to use the narrative as a preamble for subsequent foreign policy directions and initiatives. Furthermore, this dissertation covers the gaps in the literature resulting from the absence of any materials that either record or analyze Muscat's foreign policy from 1996 until 2004. In addition, his study provides new information and a fresh analysis of the international relations of the region, including great power rivalry, especially the competition between the United States and Great Britain, and the attitudes of major regional actors, such as Iran, Saudi Arabia, and Iraq. The use of a thorough historical inquiry is vital to support the central claim of this dissertation; therefore, a large section of this dissertation is based almost exclusively on archival materials collected from the British Public Records Office, the University of Oxford and the Library of Congress. This project represents the most comprehensive use of archival materials on the subject matter to date.

Glia-augmented artificial neural networks: foundations and applications

Information processing in the human brain has always been considered as a source of inspiration in Artificial Intelligence; in particular, it has led researchers to develop different tools such as artificial neural networks. Recent findings in Neurophysiology provide evidence that not only neurons but also isolated and networks of astrocytes are responsible for processing information in the human brain. Artificial neural net- works (ANNs) model neuron-neuron communications. Artificial neuron-glia networks (ANGN), in addition to neuron-neuron communications, model neuron-astrocyte con- nections. In continuation of the research on ANGNs, first we propose, and evaluate a model of adaptive neuro fuzzy inference systems augmented with artificial astrocytes. Then, we propose a model of ANGNs that captures the communications of astrocytes in the brain; in this model, a network of artificial astrocytes are implemented on top of a typical neural network. The results of the implementation of both networks show that on certain combinations of parameter values specifying astrocytes and their con- nections, the new networks outperform typical neural networks. This research opens a range of possibilities for future work on designing more powerful architectures of artificial neural networks that are based on more realistic models of the human brain.

Validation of Coded Aperture Coherent Scatter Spectral Imaging for Differentiation of Normal and Neoplastic Breast Tissues via Surgical Pathology

This study intends to validate the sensitivity and specificity of coded aperture coherent scatter spectral imaging (CACSSI) by comparison to clinical histological preparation and pathologic analysis methods currently used for the differentiation of normal and neoplastic breast tissues. A composite overlay of the CACSSI rendered image and pathologist interpreted, stained sections validate the ability of coherent scatter imaging to differentiate cancerous tissues from normal, healthy breast structures ex-vivo. Via comparison to the pathologist annotated slides, the CACSSI system may be further optimized to maximized sensitivity and specificity for differentiation of breast carcinomas.

Home: the foundations of belonging

To be at home means to be embedded in a dense pattern of relationships to people and place which gives rise to an inherently meaningful experience of the world. This order is neither abstract nor imposed from without, but crystallises from the shared experience of people inhabiting a concrete location. Home involves the localisation of meaning in a concrete setting and in the activities of everyday life, and this embodies an ongoing process of ‘cosmicisation’ which is vital for both social life and individual well-being. Home is not a fixed structure, static and frozen, which shuts out the external world; it is a dynamic centre which draws in experience and gives it meaning. It is a constellation of significance rather than a singular and unitary essence. It is produced by localising processes, which work to concentrate and stabilise value around a secure centre. The elaboration of seven interlinked localising processes forms the core of the thesis: The cultivation of place The accumulation of collective memory The crystallisation of life-ways and their evolution into tradition The generation of mutuality of being through sharing in fundamental biological processes which generate and preserve life Social circles of gift exchange and recognition which reinforce this mutuality of being The elaboration of symbolic boundaries The counterparts of localising processes are globalising ones. These involve the dismantling of the taken-for-granted relationships of everyday life and their reconstitution within spatially extended networks, governed by rationalised institutions, within separate spheres of economic production, commercial transactions, political administration and cultural exchange. The global market, the public arena, technological development and the bureaucratic state are all solvents of localised associations, which result in the dissipation and relativisation of value. However globalising processes never entirely displace localising ones. Even today, localising processes shape those areas of our lives which anchor our identities and provide a sense of meaning: the everyday interactions of home, family, community and intimate circles of friendship.

Theoretical Foundations of Developing Modeling Instruction Curriculum for College Biology Courses

Modeling Instruction (MI) has been successfully implemented in high school science classes. Moreover, MI curriculum for introductory physics has also been developed at a university level. Noticing the gap, the author will provide theoretical foundations to support the statement that MI curriculum should be developed for college biology courses.

Diabolical Witches or Sinful Princes? “Political” Foundations of Demonological Skepticism in the Early Modern Period

Skepticism regarding witchcraft, characteristic (but not exclusive) of the Spanish lands, corresponds with a particular view of evil’s etiology. Whereas paradigmatic texts of radical demonology, as the Malleus Maleficarum, gave a conclusive step towards the demonization of natural evil (as they put the blame on the devil and the witches for calamities and plagues), texts of Castilian origin, as Alonso de Espina’s Fortalitium fidei, embraced the traditional position: they considered the devil as a promoter of moral evil in the world, meanwhile natural evil is seen as a result of the wrath of God for the sins of His people –particularly, the sin of Christian princes. I argue that the distinction between these two ways of thinking the causality of the world’s misfortunes can be read in political terms.

Machine learning classification of surgical pathology reports and chunk recognition for information extraction noise reduction

Background and aims: Machine learning techniques for the text mining of cancer-related clinical documents have not been sufficiently explored. Here some techniques are presented for the pre-processing of free-text breast cancer pathology reports, with the aim of facilitating the extraction of information relevant to cancer staging.

Materials and methods: The first technique was implemented using the freely available software RapidMiner to classify the reports according to their general layout: ‘semi-structured’ and ‘unstructured’. The second technique was developed using the open source language engineering framework GATE and aimed at the prediction of chunks of the report text containing information pertaining to the cancer morphology, the tumour size, its hormone receptor status and the number of positive nodes. The classifiers were trained and tested respectively on sets of 635 and 163 manually classified or annotated reports, from the Northern Ireland Cancer Registry.

Results: The best result of 99.4% accuracy – which included only one semi-structured report predicted as unstructured – was produced by the layout classifier with the k nearest algorithm, using the binary term occurrence word vector type with stopword filter and pruning. For chunk recognition, the best results were found using the PAUM algorithm with the same parameters for all cases, except for the prediction of chunks containing cancer morphology. For semi-structured reports the performance ranged from 0.97 to 0.94 and from 0.92 to 0.83 in precision and recall, while for unstructured reports performance ranged from 0.91 to 0.64 and from 0.68 to 0.41 in precision and recall. Poor results were found when the classifier was trained on semi-structured reports but tested on unstructured.

Conclusions: These results show that it is possible and beneficial to predict the layout of reports and that the accuracy of prediction of which segments of a report may contain certain information is sensitive to the report layout and the type of information sought.

Building a 'Repository of Science': the importance of integrating Biobanks within molecular pathology programmes

Repositories containing high quality human biospecimens linked with robust and relevant clinical and pathological information are required for the discovery and validation of biomarkers for disease diagnosis, progression and response to treatment. Current molecular based discovery projects using either low or high throughput technologies rely heavily on ready access to such sample collections. It is imperative that modern biobanks align with molecular diagnostic pathology practices not only to provide the type of samples needed for discovery projects but also to ensure requirements for ongoing sample collections and the future needs of researchers are adequately addressed. Biobanks within comprehensive molecular pathology programmes are perfectly positioned to offer more than just tumour derived biospecimens; for example, they have the ability to facilitate researchers gaining access to sample metadata such as digitised scans of tissue samples annotated prior to macrodissection for molecular diagnostics or pseudoanonymised clinical outcome data or research results retrieved from other users utilising the same or overlapping cohorts of samples. Furthermore, biobanks can work with molecular diagnostic laboratories to develop standardized methodologies for the acquisition and storage of samples required for new approaches to research such as ‘liquid biopsies’ which will ultimately feed into the test validations required in large prospective clinical studies in order to implement liquid biopsy approaches for routine clinical practice. We draw on our experience in Northern Ireland to discuss how this harmonised approach of biobanks working synergistically with molecular pathology programmes is key for the future success of precision medicine.

Emergence and Innovation in Digital Learning: Foundations and Applications

Educational systems worldwide are facing an enormous shift as a result of sociocultural, political, economic, and technological changes. The technologies and practices that have developed over the last decade have been heralded as opportunities to transform both online and traditional education systems. While proponents of these new ideas often postulate that they have the potential to address the educational problems facing both students and institutions and that they could provide an opportunity to rethink the ways that education is organized and enacted, there is little evidence of emerging technologies and practices in use in online education. Because researchers and practitioners interested in these possibilities often reside in various disciplines and academic departments the sharing and dissemination of their work across often rigid boundaries is a formidable task. Contributors to Emergence and Innovation in Digital Learning include individuals who are shaping the future of online learning with their innovative applications and investigations on the impact of issues such as openness, analytics, MOOCs, and social media. Building on work first published in Emerging Technologies in Distance Education, the contributors to this collection harness the dispersed knowledge in online education to provide a one-stop locale for work on emergent approaches in the field. Their conclusions will influence the adoption and success of these approaches to education and will enable researchers and practitioners to conceptualize, critique, and enhance their understanding of the foundations and applications of new technologies.