Thesis (B.A.(Hons.))-- University of Adelaide, Dept. of Psychology, 1980.

Thesis (doctoral)--Rijksuniversiteit te Utrecht. / Description based on print version record.

Abstract The 2009 American Recovery and Reinvestment Act has earmarked 27 billion dollars to promote the adoption of Health Information Technologies (HIT) in the US, and to gain access to these funds, providers must document “Meaningful Use” during the care process. While individual HIT use according to lean measures, including meaningful use, is prevalent in the IS literature, few studies have incorporated rich measures to account for the task, the technology, and the user in a team context. This dissertation conceptualizes Team Deep Structure Use of Computerized Provider Order Entry (CPOE) as an IT- enabled coordination mechanism, and Relational Coordination as the inherent ability of clinical teams to coordinate care spontaneously using informal, relationship based mechanisms. IT-enabled and Relational Coordination mechanisms are each evaluated across five maximally different patient conditions to simultaneously examine their impact on our outcome measure, Patient Satisfaction with the clinical care team. The extant literature has established a deep understanding of IT adoption shortly after implementation, yet the literature is silent on the antecedents of IT use according to rich measures well after the shake down phase, a period in which the majority of organizations operate. We incorporate the Adaptive Structuration Theory (AST) constructs of Faithfulness of Appropriation, and Consensus on Appropriation as the focal antecedents of Deep Structure Use of the clinical system by team members. To our knowledge, no prior research has linked these two AST constructs to clinical outcomes through the incorporation of a rich use mediator such as Deep Structure Use of a Health IT. To test our model, we relied on survey responses from 555 physicians, nurses and mid-levels which had cared for 261 patients across five patient conditions, ranging from vaginal birth, to organ transplant, as well as pneumonia, knee/hip replacement and cardiovascular surgery. Our results confirm that the Adaptive Structuration constructs of Faithfulness of Appropriation and Consensus on Appropriation, generate positive and statistically significant path coefficients predicting Team Deep Structure Use of CPOE. We also report differential effects on Patient Satisfaction with the care team resulting from technology use. Results range from a significant positive path coefficient (.285) associated with higher Team Deep Structure Use on combined Pneumonia and Organ Transplant teams, to a significant negative path coefficient (-.174) on cardiovascular surgery teams. As expected, Pneumonia, Organ Transplant and Cardiovascular Surgery teams all reported positive effects on Patient Satisfaction with the care team as a result of higher Relational Coordination scores. For teams caring for patient conditions consistently associated with a shorter length of stay, including vaginal birth and knee/hip replacement, higher reported use of IT- enabled, or Relational Coordination mechanisms, did not result in a significant increase in Patient Satisfaction. This dissertation contributes to the growing Health IT literature, and has practical implications for clinicians, hospital administrators and Health IT professionals. This dissertation is the first to operationalize a rich measure of use of an HIT by clinical teams, and to simultaneously measure the impact of IT enabled and Relational Coordination mechanisms on Patient Satisfaction. Secondly, through the introduction of Adaptive Structuration constructs, our model establishes a methodology for predicting rich, nuanced use in teams well after the initial shake down phase associated with recent HIT implementation. Through the juxtaposition of the impact of IT-enabled and Relational Coordination mechanisms across patient conditions, practitioners can design interventions and adjust the level of resources applied to process improvement accordingly.

The question raised in this study is: Why are similar companies so different? That is, why do companies of the same size, in the same line of business, and with the same organizational structures, etc., function in different ways? The answer to these questions is expected to be found through knowledge of basic ideas in companies. Important points of departure are that small companies are interesting research objects and that an organization can be viewed as a set of deep and surface structures which may appear in the language of its members and other interested parties. Based chiefly on deep interviews, the study is intended to generate knowledge and understanding of basic ideas and their function in small companies. The deep structures of the four companies show that the basic ideas can be understood as ideologies. They refer to basic values, are apprehended by the members of the organization and other interested parties, and prescribe what is desirable. The differences between the cases form the basis of a classification of the ideologies into four ideal types: capitalistic, religious, narcissistic, and socialistic. The surface structures are viewed in two perspectives, one referring to the behaviour of the companies and the other to the relational behaviour between the companies and the interested parties. The former shows that the patterns of behaviour are different in the four companies and may be characterized as efficiency-directed, adaptation-directed, ego-directed, and socially-directed. A comparison between these patterns of behaviour and the ideologies of the companies makes the directing function of the ideologies visible. Through situation interpretation, ideologies direct organizational behaviour towards particular patterns. The relational perspective causes the controlling function of ideologies to appear. Differences in co-acting between the companies - that is, the extent to which and on what grounds the interested parties behave in accordance with the behaviour of the companies and the attitudes of the interested parties to the ideological values - show that ideologies can exercise control either through their power over problem interpretation or their power over acting. The results of this study indicate that the answer to the initial question is that organizations have different ideological faces. / digitalisering@umu

京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第20777号 / 情博第657号 / 新制||情報||113(附属図書館) / 京都大学大学院情報学研究科知能情報学専攻 / (主査)教授 黒橋 禎夫, 教授 河原 達也, 教授 石田 亨 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM

A 'Subject Indexing Language' (SIL) is an artificial language used for formulating names of subjects. Although classificationists have sought for universals in many fields of study such as, philosophy, biology, general systems theory, etc., the search for a deep structure of SILs formally began with Ranganathan's idea of 'absolute syntax' and was brought to the present by G. Bhattacharyya and D. Austin. Whereas Bhattacharyya's deep structure of SIL is primarily based on classificatory principles (parallel to 'absolute syntax'), the deep structure proposed by Austin has a linguistic connotation. The present study describes and compares two such deep structurebased SILs, viz., PRECIS (PREserved Context Index System) and DSIS (Deep Structure Indexing System), a recent computerized version of POPSI (POstulate-based Permuted Subject Indexing), developed by F. J. Devadason at Documentation Research and Training Centre, Bangalore, India. Both also belong to the category of SILs typified as 'string indexing' languages. The study involves: i) writing of a suitable DSIS index entry generation program, ii) using both PRECIS (in-house) and DSIS programs to index a collection of representative sample documents from the soft sciences, iii) analyzing and comparing their respective syntactic and semantic aspects in terms of both linguistic and classificatory principles, and iv) applying some measures of efficiency and effectiveness. It was realized that certain modifications in the existing DSIS string manipulation algorithms are necessary to make the program fully operational. Although, no attempts have been made to quantify the measures of effectiveness and efficiency as such, suggestions have been provided as to what these probably would be. Some indications of their searching difficulties for a prospective searcher have been put forward as well.

This thesis deals with a motive, very frequent in the novels of Haruki Murakami: a male protagonist trying to save his spouse, who has disappeared in a "different world". This can be of course interpreted as an orphic myth variation. However, the version used by Murakami resembles the story of Izanagi and Izanami deities in the Kojiki, ancient Japanese chronicle, more than the Greek orphic myth. Therefore, the motive is treated like a specific "Izanagi myth" variation here in the thesis, and the examination of its function is focused on the novels, the most important segment of Murakami's work. Murakami intentionally uses a very complicated form of narration in the novels. Therefore, to examine the exact function of Izanagi myth motive in the novel stories, a method of abstraction of these stories from their narrative discourses is used, based on the theories of Seymour Chatman. According to these theories, stories are strictly chronological sequences of events, while narrative discourses are more specific forms of these sequences, processed by the narrators. To abstract "exact" stories from Murakami's novels' specific discourses, we concentrate on all time-related data in their texts and use them to reconstruct the minute chronological orders of events - the stories of the novels. After that, we...

Scale-invariant interest points have found several highly successful applications in computer vision, in particular for image-based matching and recognition. This paper presents a theoretical analysis of the scale selection properties of a generalized framework for detecting interest points from scale-space features presented in Lindeberg (Int. J. Comput. Vis. 2010, under revision) and comprising: an enriched set of differential interest operators at a fixed scale including the Laplacian operator, the determinant of the Hessian, the new Hessian feature strength measures I and II and the rescaled level curve curvature operator, as well as an enriched set of scale selection mechanisms including scale selection based on local extrema over scale, complementary post-smoothing after the computation of non-linear differential invariants and scale selection based on weighted averaging of scale values along feature trajectories over scale. A theoretical analysis of the sensitivity to affine image deformations is presented, and it is shown that the scale estimates obtained from the determinant of the Hessian operator are affine covariant for an anisotropic Gaussian blob model. Among the other purely second-order operators, the Hessian feature strength measure I has the lowest sensitivity to non-uniform scaling transformations, followed by the Laplacian operator and the Hessian feature strength measure II. The predictions from this theoretical analysis agree with experimental results of the repeatability properties of the different interest point detectors under affine and perspective transformations of real image data. A number of less complete results are derived for the level curve curvature operator. / <p>QC 20121003</p> / Image descriptors and scale-space theory for spatial and spatio-temporal recognition

The study focused on pertinent challenges and key guidelines in introducing and assessing students’ higher order thinking skills (HOTS) in a literature based English foreign language (EFL) curriculum. A curricular initiative in Israel, namely to integrate HOTS in the teaching and learning of literature in the high school EFL classes, prompted this study to measure its effectiveness on students’ abilities to understand and apply the HOTS in their reading and writing. This mixed-methods study dealt with the following research questions: Are HOTS innate skills or must they be purposefully taught in order for students to learn and to apply them? To what extent has 10th and 11th grade EFL Israeli students’ ability to apply HOTS to their bridging essays, after completing two years in the English literature programme, been improved? How accurately could students demonstrate an understanding of HOTS by naming them and by providing an example of how they could apply them in the areas of reading and writing? The overall key findings showed that; HOTS must be taught and practiced in order for students to learn and to apply them and that teaching students to use HOTS will improve their reading and writing capabilities in regard to higher order thinking as well as their understanding of specific HOTS. It was also found that students enjoy the challenge of infusing HOTS into a literature curriculum and expressing what they learn in their writing. They are consequently motivated to learn when they are challenged with a programme that infuses HOTS into an EFL literature curriculum. Implications of the findings are that the subject specific approach and infusion method for teaching HOTS are successful in the EFL classroom. The findings provide a novel contribution to the study of HOTS pedagogy within a literature based EFL curriculum programme. Recommendations for further studies are made, particularly on HOTS vis-à-vis weaker EFL students as well as on examining different writing formats, such as opinion essays, to determine if HOTS are transferring to other types of writing after students’ participation in this curricular initiative. / Curriculum and Instructional Studies / D. Ed. (Curriculum Studies)