5153 research outputs found
Sort by
Self-Perception of Transformational Leadership Practices of American Dental Hygiene Program Administrators
No full textA poster describing leadership practices in dental hygiene
A Computer-aided Diagnostic System for Wireless Capsule Endoscopy
No full textThis thesis is being archived as a Digitized Shelf Copy for campus access to current students and staff only. We currently cannot provide this open access without the author's permission. If you are the author of this work and desire to provide it open access or wish access removed please contact the Wahlstrom Library to discuss permission.Wireless capsule endoscopy (WCE) is a technology breakthrough that allows the non-invasive visualization of the entire small intestine. This swallowable capsule technology enables the investigation of the small intestine without pain or need for sedation, thus encouraging patients to undergo gastrointestinal (GI) track examinations. Nevertheless, the average viewing time ranges from one to two hours, depending on the experience of the gastroenterologist. To address this problem, we look into machine vision based approaches for automatic medical imaging analysis. The process of selecting suitable low-level features is often determined by the modality of imaging as well as the nature of diagnoses. For example, image arises from radiologic projection technique such as x-ray often shows overlapping structures while image from tomographic technique such as magnetic resonance imaging (MRI) shows individually bounded anatomic objects. Computational approaches for projection based images may concentrates on detecting density blobs while tomography based images may focus on the identifying the relationships among different organ boundaries. Each imaging modality imposes unique restrictions for automatic image abstraction processes. In this dissertation, we investigate low-level image features for automatic analysis in WCE imaging, which is photography based imaging modality, and propose a computer-aided diagnostic (CAD) system for indexing and assisting physicians to speed up the diagnosis time. The advancing in Very-large-scale integration (VLSI), broadband networks, and image/video standards dramatically increases the amount of digital library and multimedia database. However, a robust image understanding at the machine level remains an open issue. Today, most of the image search engines perform keyword based textual search on text annotation for visual information. Due to lacking of automatic annotation system, today's search approach on medical imaging still relies on manual annotation and hence, it is not scalable. Manual annotation is not only laborious, error prone, very costly, if a collection of images are not annotated, they are not indexed or retrieved. The aims of this system are to help physicians reducing diagnosis time with an automatic tool that detects medical significant events in the WCE domain. In addition, this system is also served as a critical piece to bridging the semantic gap between machine and human perception in medical imaging
Parallel and Distributed Object Recognition
No full textThis poster presents a parallel implementation of an object detection algorithm, as well as an improved pruning technique, which is an important part in an object detection implementation. We focus on face detection, even though the techniques developed are applicable to object detection in general. We implement the well known face detection algorithm of Viola-Jones and parallelize the important steps, and then come up with a better pruning algorithm when many nearby windows indicate a detection. We also consider the effect of multiple scales and present a pruning algorithm that minimizes the detected windows such that a single window indicating the presence of a detected face can be concluded. Our pruning algorithm maximizes the face detection such that a few false positives may be detected, but all faces present are correctly identified
NMR detection of graphene nanoribbons
No full textNobel prize winning material as "the thinnest material in our universe", graphene, a single atom thick sheet of sp2 carbon atoms, promises a diverse range of applications from composite materials to quantum dots, and even in several bioengineering applications. For graphene, that availability is encumbered by having to surmount the high cohesive van der Waals energy (5.9 kJ mol-1 carbon) adhering graphitic sheets to one another. Moreover, graphene being extremely hydrophobic, it has low solubility in water. Here we demonstrate the feasibility of developing biological graphene dispersions using wet chemistry and ultra sonication. 13C NMR spectra of graphene dispersions indicate the presence of graphene carbon signature in solution. Our future work is to use this graphene dispersion in a cellular assay to explore graphene-protein binding and also to study the graphene nanoribbon structures as contrast agents and drug delivery
Anatomy and Cranial Functional Morphology of the Small-Bodied Dinosaur Fruitadens haagarorum from the Upper Jurassic of the USA
No full textBackground: Heterodontosaurids are an important but enigmatic and poorly understood early radiation of ornithischian dinosaurs. The late-surviving heterodontosaurid Fruitadens haagarorum from the Late Jurassic (early Tithonian) Morrison Formation of the western USA is represented by remains of several small (<1 metre total body length, <1 kg body mass) individuals that include well-preserved but incomplete cranial and postcranial material. Fruitadens is hypothesized to represent one of the smallest known ornithischian dinosaurs. Methodology/Principal Findings: We describe the cranial and postcranial anatomy of Fruitadens in detail, providing comparisons to all other known heterodontosaurid taxa. High resolution micro-CT data provides new insights into tooth replacement and the internal anatomy of the tooth-bearing bones. Moreover, we provide a preliminary functional analysis of the skull of late-surviving heterodontosaurids, discuss the implications of Fruitadens for current understanding of heterodontosaurid monophyly, and briefly review the evolution and biogeography of heterodontosaurids. Conclusions/Significance: The validity of Fruitadens is supported by multiple unique characters of the dentition and hindlimb as well as a distinct character combination. Fruitadens shares highly distinctive appendicular characters with other heterodontosaurids, strengthening monophyly of the clade on the basis of the postcranium. Mandibular morphology and muscle moment arms suggest that the jaws of late-surviving heterodontosaurids, including Fruitadens, were adapted for rapid biting at large gape angles, contrasting with the jaws of the stratigraphically older Heterodontosaurus, which were better suited for strong jaw adduction at small gapes. The lack of wear facets and plesiomorphic dentition suggest that Fruitadens used orthal jaw movements and employed simple puncture-crushing to process food. In combination with its small body size, these results suggest that Fruitadens was an ecological generalist, consuming select plant material and possibly insects or other invertebrates.https://doi.org/10.1371/journal.pone.003155
Drug Delivery in the Body Using Nanotechnology
No full textA poster discussing the use of nanotechnology in drug delivery
Improving ELI Friday Afternoon Afterschool Activities via Service Engineering Models
No full textThis project focuses on the improving process for ELI Friday Afternoon Afterschool Activities and improving the organizing of the afterschool activities better in the coming sessions. The main method for the team to collect data was from doing a survey about the feedbacks and attendance of the activities in last 2 to 4 months. After analysis the data, modeling the data by the service management methods, the Friday Afternoon Activities become the major problem and would be improved by this project
The Shared Trajectories of Al Quaeda and the Ku Klux Klan
No full textA poster showing parallels between the Ku Klux Klan and Al Qaeda