4,546 research outputs found

    The development of liquid crystal lasers for application in fluorescence microscopy

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    Lasers can be found in many areas of optical medical imaging and their properties have enabled the rapid advancement of many imaging techniques and modalities. Their narrow linewidth, relative brightness and coherence are advantageous in obtaining high quality images of biological samples. This is particularly beneficial in fluorescence microscopy. However, commercial imaging systems depend on the combination of multiple independent laser sources or use tuneable sources, both of which are expensive and have large footprints. This thesis demonstrates the use of liquid crystal (LC) laser technology, a compact and portable alternative, as an exciting candidate to provide a tailorable light source for fluorescence microscopy. Firstly, to improve the laser performance parameters such that high power and high specification lasers could be realised; device fabrication improvements were presented. Studies exploring the effect of alignment layer rubbing depth and the device cell gap spacing on laser performance were conducted. The results were the first of their kind and produced advances in fabrication that were critical to repeatedly realising stable, single-mode LC laser outputs with sufficient power to conduct microscopy. These investigations also aided with the realisation of laser diode pumping of LC lasers. Secondly, the identification of optimum dye concentrations for single and multi-dye systems were used to optimise the LC laser mixtures for optimal performance. These investigations resulted in novel results relating to the gain media in LC laser systems. Collectively, these advancements yielded lasers of extremely low threshold, comparable to the lowest reported thresholds in the literature. A portable LC laser system was integrated into a microscope and used to perform fluorescence microscopy. Successful two-colour imaging and multi-wavelength switching ability of LC lasers were exhibited for the first time. The wavelength selectivity of LC lasers was shown to allow lower incident average powers to be used for comparable image quality. Lastly, wavelength selectivity enabled the LC laser fluorescence microscope to achieve high enough sensitivity to conduct quantitative fluorescence measurements. The development of LC lasers and their suitability to fluorescence microscopy demonstrated in this thesis is hoped to push towards the realisation of commercialisation and application for the technology

    Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5

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    This fifth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered. First Part of this book presents some theoretical advances on DSmT, dealing mainly with modified Proportional Conflict Redistribution Rules (PCR) of combination with degree of intersection, coarsening techniques, interval calculus for PCR thanks to set inversion via interval analysis (SIVIA), rough set classifiers, canonical decomposition of dichotomous belief functions, fast PCR fusion, fast inter-criteria analysis with PCR, and improved PCR5 and PCR6 rules preserving the (quasi-)neutrality of (quasi-)vacuous belief assignment in the fusion of sources of evidence with their Matlab codes. Because more applications of DSmT have emerged in the past years since the apparition of the fourth book of DSmT in 2015, the second part of this volume is about selected applications of DSmT mainly in building change detection, object recognition, quality of data association in tracking, perception in robotics, risk assessment for torrent protection and multi-criteria decision-making, multi-modal image fusion, coarsening techniques, recommender system, levee characterization and assessment, human heading perception, trust assessment, robotics, biometrics, failure detection, GPS systems, inter-criteria analysis, group decision, human activity recognition, storm prediction, data association for autonomous vehicles, identification of maritime vessels, fusion of support vector machines (SVM), Silx-Furtif RUST code library for information fusion including PCR rules, and network for ship classification. Finally, the third part presents interesting contributions related to belief functions in general published or presented along the years since 2015. These contributions are related with decision-making under uncertainty, belief approximations, probability transformations, new distances between belief functions, non-classical multi-criteria decision-making problems with belief functions, generalization of Bayes theorem, image processing, data association, entropy and cross-entropy measures, fuzzy evidence numbers, negator of belief mass, human activity recognition, information fusion for breast cancer therapy, imbalanced data classification, and hybrid techniques mixing deep learning with belief functions as well

    Experience matters: women's experience of care during facility-based childbirth. A mixed-methods study on postpartum outcomes

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    Background: The poor treatment women are receiving during facility-based childbirth is an escalating global issue with potentially adverse postnatal consequences. My thesis aims to enhance understanding of these consequences, with a focus on postnatal care-seeking behaviour, maternal mental health and breastfeeding patterns in Tucumán, Argentina. / Objective: I sought to investigate the impact of mistreatment during childbirth (MDC) on postnatal outcomes and explore the influence of individual, interpersonal and societal factors on this relationship. / Methods: Employing a pragmatic epistemological framework, I adopted a mixed-methods approach. First, a systematic review of existing literature on mistreatment and its postnatal effects provided a comprehensive foundation for my research. Subsequently, I conducted semi-structured interviews and focus group discussions with women from an underserved community in Tucumán to gain qualitative insights. To complement this, I carried out a prospective cohort study with women who delivered in a public maternity hospital. Data analysis involved using the capability, opportunity, motivation, and behaviour (COM-B) model, directed acyclic graphs, and factor analysis to examine behavioural impacts, association pathways, and operationalisation of MDC. Multivariable models were applied to measure the association between MDC and postnatal outcomes. / Results: The study revealed that MDC should not be operationalised as a single construct, as women perceive breaches of quality of care differently from direct physical or verbal abuse. Health literacy, social support and self-esteem were identified as psychosocial confounders in the relationship between mistreatment and postnatal outcomes. Only 26% of women in the cohort study in Tucumán accessed postnatal care, with incidences of postpartum depression and anxiety of 67% and 21%, respectively. No statistically significant association was found between MDC and care seeking behaviour, although a possible trend emerged suggesting the women experiencing physical or verbal MDC could be more likely to seek care than those who were not mistreated. / Conclusion: Several exploratory hypotheses are presented to explain the trend suggesting that women who are verbally or physically mistreated are more prone to seek care after birth. Additionally, three concrete contributions emerged from this work: 1) the need to differentiate the conceptualisation of MDC from its operationalisation when assessing postnatal effects; 2) the importance of integrating psychosocial factors into the theory of change when designing effective interventions, and 3) the urgency of enhancing postnatal care access to improve maternal and newborn health outcomes, regardless of women’s childbirth experiences

    Reshaping Higher Education for a Post-COVID-19 World: Lessons Learned and Moving Forward

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    A Comprehensive Review of Data-Driven Co-Speech Gesture Generation

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    Gestures that accompany speech are an essential part of natural and efficient embodied human communication. The automatic generation of such co-speech gestures is a long-standing problem in computer animation and is considered an enabling technology in film, games, virtual social spaces, and for interaction with social robots. The problem is made challenging by the idiosyncratic and non-periodic nature of human co-speech gesture motion, and by the great diversity of communicative functions that gestures encompass. Gesture generation has seen surging interest recently, owing to the emergence of more and larger datasets of human gesture motion, combined with strides in deep-learning-based generative models, that benefit from the growing availability of data. This review article summarizes co-speech gesture generation research, with a particular focus on deep generative models. First, we articulate the theory describing human gesticulation and how it complements speech. Next, we briefly discuss rule-based and classical statistical gesture synthesis, before delving into deep learning approaches. We employ the choice of input modalities as an organizing principle, examining systems that generate gestures from audio, text, and non-linguistic input. We also chronicle the evolution of the related training data sets in terms of size, diversity, motion quality, and collection method. Finally, we identify key research challenges in gesture generation, including data availability and quality; producing human-like motion; grounding the gesture in the co-occurring speech in interaction with other speakers, and in the environment; performing gesture evaluation; and integration of gesture synthesis into applications. We highlight recent approaches to tackling the various key challenges, as well as the limitations of these approaches, and point toward areas of future development.Comment: Accepted for EUROGRAPHICS 202

    Informationsströme in digitalen Kulturen

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    Wir sind umgeben von einer Vielzahl an Informationsströmen, die uns selbstverständlich erscheinen. Um diese digitalen Kulturen zu beschreiben, entwickeln medienwissenschaftliche Arbeiten Theorien einer Welt im Fluss. Dabei erliegen ihre Diagnosen oftmals einem Technikfetisch und vernachlässigen gesellschaftliche Strukturen. Mathias Denecke legt eine systematische Kritik dieser Theoriebildung vor. Dazu zeichnet er die Geschichte der Rede von strömenden Informationen in der Entwicklung digitaler Computer nach und diskutiert, wie der Begriff für Gegenwartsbeschreibungen produktiv gemacht werden kann

    Honors Colleges in the 21st Century

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    Table of Contents Acknowledgments Introduction | Richard Badenhausen Part I: Honors College Contexts: Past and Present CHAPTER ONE Oxbridge and Core Curricula: Continuing Conversations with the Past in Honors Colleges | Christopher A. Snyder CHAPTER TWO Characteristics of the 21st-Century Honors College | Andrew J. Cognard-Black and Patricia J. Smith Part II: Transitioning to an Honors College CHAPTER THREE Should We Start an Honors College? An Administrative Playbook for Working Through the Decision | Richard Badenhausen CHAPTER FOUR Beyond the Letterhead: A Tactical Toolbox for Transitioning from Program to College | Sara Hottinger, Megan McIlreavy, Clay Motley, and Louis Keiner Part III: Administrative Leadership CHAPTER FIVE “It Is What You Make It’’: Opportunities Arising from the Unique Roles of Honors College Deans | Jeff Chamberlain, Thomas M. Spencer, and Jefford Vahlbusch CHAPTER SIX The Role of the Honors College Dean in the Future of Honors Education | Peter Parolin, Timothy J. Nichols, Donal C. Skinner, and Rebecca C. Bott-Knutson CHAPTER SEVEN From the Top Down: Implications of Honors College Deans’ Race and Gender | Malin Pereira, Jacqueline Smith-Mason, Karoline Summerville, and Scott Linneman Part IV: Honors College Operations CHAPTER EIGHT Something Borrowed, Something New: Honors College Faculty and the Staffing of Honors Courses | Erin E. Edgington and Linda Frost CHAPTER NINE Telling Your Story: Stewardship and the Honors College | Andrew Martino Part V: Honors Colleges as Leaders in the Work of Diversity, Equity, Inclusion, and Access CHAPTER TEN Cultivating Institutional Change: Infusing Principles of Diversity, Equity, and Inclusion into Everyday Honors College Practices | Tara M. Tuttle, Julie Stewart, and Kayla Powell CHAPTER ELEVEN Positioning Honors Colleges to Lead Diversity and Inclusion Efforts at Predominantly White Institutions | Susan Dinan, Jason T. Hilton, and Jennifer Willford CHAPTER TWELVE Honors Colleges as Levers of Educational Equity | Teagan Decker, Joshua Kalin Busman, and Michele Fazio CHAPTER THIRTEEN Promoting the Inclusion of LGBTQ+ Students: The Role of the Honors College in Faith-Based Colleges and Universities | Paul E. Prill Part VI: Supporting Students CHAPTER FOURTEEN Who Belongs in Honors? Culturally Responsive Advising and Transformative Diversity | Elizabeth Raisanen CHAPTER FIFTEEN Fostering Student Leadership in Honors Colleges | Jill Nelson Granger Part VII: Honors College Curricular Innovation CHAPTER SIXTEEN Honors Liberal Arts for the 21st Century | John Carrell, Aliza S. Wong, Chad Cain, Carrie J. Preston, and Muhammad H. Zaman CHAPTER SEVENTEEN Honors Colleges, Transdisciplinary Education, and Global Challenges | 423 Paul Knox and Paul Heilker Part VIII: Community Engagement CHAPTER EIGHTEEN Teaching and Learning in the Fourth Space: Preparing Scholars to Engage in Solving Community Problems | Heidi Appel, Rebecca C. Bott-Knutson, Joy Hart, Paul Knox, Andrea Radasanu, Leigh E. Fine, Timothy J. Nichols, Daniel Roberts, Keith Garbutt, William Ziegler, Jonathan Kotinek, Kathy Cooke, Ralph Keen, Mark Andersen, and Jyotsna Kapur CHAPTER NINETEEN Serving Our Communities: Leveraging the Honors College Model at Two-Year Institutions | Eric Hoffman, Victoria M. Bryan, and Dan Flores About the Authors About the NCHC Monograph Serie

    Historical Burdens on Physics

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    When learning physics, one follows a track very similar to the historical path of the evolution of this science: one takes detours, overcomes superfluous obstacles and repeats mistakes, one learns inappropriate concepts and uses outdated methods. In the book, more than 200 articles present and analyze such obsolete concepts methods. All articles have the same structure: 1. subject, 2. deficiencies, 3. origin, 4. disposal. The articles had originally appeared as columns in various magazines. Accordingly, we had tried to write them in an easily understandable way
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