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Search Results: 1 - 10 of 118416 matches for " Alan O’Connor "
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Non-obstetric vaginal trauma  [PDF]
Ian S. C. Jones, Alan OConnor
Open Journal of Obstetrics and Gynecology (OJOG) , 2013, DOI: 10.4236/ojog.2013.31005

Objective: To describe the mechanism, injury pattern and management of women who present to the Emergency Department with non-obstetric vaginal trauma. Methods: A retrospective, single institution case series was carried out. Data was sourced from medical records of women who presented to the Emergency Department and Royal Brisbane and Women’s Hospital between 2007 and 2011. Records of possible injuries to the vagina were assessed to determine incidence, age, site, type of injury, mechanism of injury and whether urinary retention required treatment. Results: Vaginal non-obstetric trauma was found in 11 of 519 cases resulting in lacerations or tears. Injuries were due to consensual coitus, other forms of sexual activity and self harm. Acute urinary retention did not occur in any case but two cases required resuscitation. Site of injury was most common high in the vagina. Conclusion: Non-obstetric vaginal injuries are uncommon (incidence 2.1%). All cases require assessment for vulvar, vaginal, urethral, anal and bony pelvis injuries. This may require examination under anaesthesia. Social worker and psychological support is important to reduce the incidence of long-term psychological problems.

A Neural Network Approach to Smarter Sensor Networks for Water Quality Monitoring
Edel OConnor,Alan F. Smeaton,Noel E. OConnor,Fiona Regan
Sensors , 2012, DOI: 10.3390/s120404605
Abstract: Environmental monitoring is evolving towards large-scale and low-cost sensor networks operating reliability and autonomously over extended periods of time. Sophisticated analytical instrumentation such as chemo-bio sensors present inherent limitations because of the number of samples that they can take. In order to maximize their deployment lifetime, we propose the coordination of multiple heterogeneous information sources. We use rainfall radar images and information from a water depth sensor as input to a neural network (NN) to dictate the sampling frequency of a phosphate analyzer at the River Lee in Cork, Ireland. This approach shows varied performance for different times of the year but overall produces output that is very satisfactory for the application context in question. Our study demonstrates that even with limited training data, a system for controlling the sampling rate of the nutrient sensor can be set up and can improve the efficiency of the more sophisticated nodes of the sensor network.
A New Troodontid Theropod, Talos sampsoni gen. et sp. nov., from the Upper Cretaceous Western Interior Basin of North America
Lindsay E. Zanno, David J. Varricchio, Patrick M. O'Connor, Alan L. Titus, Michael J. Knell
PLOS ONE , 2011, DOI: 10.1371/journal.pone.0024487
Abstract: Background Troodontids are a predominantly small-bodied group of feathered theropod dinosaurs notable for their close evolutionary relationship with Avialae. Despite a diverse Asian representation with remarkable growth in recent years, the North American record of the clade remains poor, with only one controversial species—Troodon formosus—presently known from substantial skeletal remains. Methodology/Principal Findings Here we report a gracile new troodontid theropod—Talos sampsoni gen. et sp. nov.—from the Upper Cretaceous Kaiparowits Formation, Utah, USA, representing one of the most complete troodontid skeletons described from North America to date. Histological assessment of the holotype specimen indicates that the adult body size of Talos was notably smaller than that of the contemporary genus Troodon. Phylogenetic analysis recovers Talos as a member of a derived, latest Cretaceous subclade, minimally containing Troodon, Saurornithoides, and Zanabazar. MicroCT scans reveal extreme pathological remodeling on pedal phalanx II-1 of the holotype specimen likely resulting from physical trauma and subsequent infectious processes. Conclusion/Significance Talos sampsoni adds to the singularity of the Kaiparowits Formation dinosaur fauna, which is represented by at least 10 previously unrecognized species including the recently named ceratopsids Utahceratops and Kosmoceratops, the hadrosaurine Gryposaurus monumentensis, the tyrannosaurid Teratophoneus, and the oviraptorosaurian Hagryphus. The presence of a distinct troodontid taxon in the Kaiparowits Formation supports the hypothesis that late Campanian dinosaurs of the Western Interior Basin exhibited restricted geographic ranges and suggests that the taxonomic diversity of Late Cretaceous troodontids from North America is currently underestimated. An apparent traumatic injury to the foot of Talos with evidence of subsequent healing sheds new light on the paleobiology of deinonychosaurians by bolstering functional interpretations of prey grappling and/or intraspecific combat for the second pedal digit, and supporting trackway evidence indicating a minimal role in weight bearing.
Indexing of Fictional Video Content for Event Detection and Summarisation
Bart Lehane,Noel E. O'Connor,Hyowon Lee,Alan F. Smeaton
EURASIP Journal on Image and Video Processing , 2007, DOI: 10.1155/2007/14615
Abstract: This paper presents an approach to movie video indexing that utilises audiovisual analysis to detect important and meaningful temporal video segments, that we term events. We consider three event classes, corresponding to dialogues, action sequences, and montages, where the latter also includes musical sequences. These three event classes are intuitive for a viewer to understand and recognise whilst accounting for over 90% of the content of most movies. To detect events we leverage traditional filmmaking principles and map these to a set of computable low-level audiovisual features. Finite state machines (FSMs) are used to detect when temporal sequences of specific features occur. A set of heuristics, again inspired by filmmaking conventions, are then applied to the output of multiple FSMs to detect the required events. A movie search system, named MovieBrowser, built upon this approach is also described. The overall approach is evaluated against a ground truth of over twenty-three hours of movie content drawn from various genres and consistently obtains high precision and recall for all event classes. A user experiment designed to evaluate the usefulness of an event-based structure for both searching and browsing movie archives is also described and the results indicate the usefulness of the proposed approach.
Object Segmentation in Images using EEG Signals
Eva Mohedano,Graham Healy,Kevin McGuinness,Xavier Giro-i-Nieto,Noel E. O'Connor,Alan F. Smeaton
Computer Science , 2014, DOI: 10.1145/2647868.2654896
Abstract: This paper explores the potential of brain-computer interfaces in segmenting objects from images. Our approach is centered around designing an effective method for displaying the image parts to the users such that they generate measurable brain reactions. When an image region, specifically a block of pixels, is displayed we estimate the probability of the block containing the object of interest using a score based on EEG activity. After several such blocks are displayed, the resulting probability map is binarized and combined with the GrabCut algorithm to segment the image into object and background regions. This study shows that BCI and simple EEG analysis are useful in locating object boundaries in images.
Subtilomycin: A New Lantibiotic from Bacillus subtilis Strain MMA7 Isolated from the Marine Sponge Haliclona simulans
Robert W. Phelan,Matthieu Barret,Paul D. Cotter,Paula M. O'Connor,Rui Chen,John P. Morrissey,Alan D. W. Dobson,Fergal O'Gara,Teresa M. Barbosa
Marine Drugs , 2013, DOI: 10.3390/md11061878
Abstract: Bacteriocins are attracting increased attention as an alternative to classic antibiotics in the fight against infectious disease and multidrug resistant pathogens. Bacillus subtilis strain MMA7 isolated from the marine sponge Haliclona simulans displays a broad spectrum antimicrobial activity, which includes Gram-positive and Gram-negative pathogens, as well as several pathogenic Candida species. This activity is in part associated with a newly identified lantibiotic, herein named as subtilomycin. The proposed biosynthetic cluster is composed of six genes, including protein-coding genes for LanB-like dehydratase and LanC-like cyclase modification enzymes, characteristic of the class I lantibiotics. The subtilomycin biosynthetic cluster in B. subtilis strain MMA7 is found in place of the sporulation killing factor ( skf) operon, reported in many B. subtilis isolates and involved in a bacterial cannibalistic behaviour intended to delay sporulation. The presence of the subtilomycin biosynthetic cluster appears to be widespread amongst B. subtilis strains isolated from different shallow and deep water marine sponges. Subtilomycin possesses several desirable industrial and pharmaceutical physicochemical properties, including activity over a wide pH range, thermal resistance and water solubility. Additionally, the production of the lantibiotic subtilomycin could be a desirable property should B. subtilis strain MMA7 be employed as a probiotic in aquaculture applications.
Exploring EEG for Object Detection and Retrieval
Eva Mohedano,Amaia Salvador,Sergi Porta,Xavier Giró-i-Nieto,Graham Healy,Kevin McGuinness,Noel O'Connor,Alan F. Smeaton
Computer Science , 2015,
Abstract: This paper explores the potential for using Brain Computer Interfaces (BCI) as a relevance feedback mechanism in content-based image retrieval. We investigate if it is possible to capture useful EEG signals to detect if relevant objects are present in a dataset of realistic and complex images. We perform several experiments using a rapid serial visual presentation (RSVP) of images at different rates (5Hz and 10Hz) on 8 users with different degrees of familiarization with BCI and the dataset. We then use the feedback from the BCI and mouse-based interfaces to retrieve localized objects in a subset of TRECVid images. We show that it is indeed possible to detect such objects in complex images and, also, that users with previous knowledge on the dataset or experience with the RSVP outperform others. When the users have limited time to annotate the images (100 seconds in our experiments) both interfaces are comparable in performance. Comparing our best users in a retrieval task, we found that EEG-based relevance feedback outperforms mouse-based feedback. The realistic and complex image dataset differentiates our work from previous studies on EEG for image retrieval.
A longitudinal study of quality of life among people living with a progressive neurological illness  [PDF]
Marita P. McCabe, Elodie J. OConnor
Health (Health) , 2013, DOI: 10.4236/health.2013.56A2004

This study investigated predictors of quality of life (QOL) of people with progressive neurological illnesses. Participants were 257 people with motor neurone disease (MND), Huntington’s disease (HD), multiple sclerosis (MS), or Parkinson’s. Participants completed questionnaires on two occasions, 12 months apart. There was an increase in severity of symptoms for people withMND, negative mood for people with HD and Parkinson’s, and social support satisfaction for people with MS. Regression analyses were conducted to determine predictors of QOL for each group. Predictor variables were length of illness, symptoms (physical symptoms, control over body, cognitive symptoms and psychological symptoms), mood, relationship satisfaction and social support. Predictors of QOL were severity of symptoms for people withMND, HD and MS; negative mood for people withMNDand Parkinson’s; and social support satisfaction for people with MS. These results demonstrate the importance of illness severity and mood in predicting QOL, but also indicate differences between illness groups. The limited role played by social support and relationship is a surprising finding from the current study.

Effect of emotional valence on episodic memory stages as indexed by event-related potentials  [PDF]
Marc E. Lavoie, Kieron P. OConnor
World Journal of Neuroscience (WJNS) , 2013, DOI: 10.4236/wjns.2013.34034

Several investigations have shown that emotional events show superior recall than non-emotional ones. However, the cortical mechanisms underlying the episodic recall of emotional scenes are still poorly understood. Our main aim was to compare the magnitude of the Event-Related brain Potentials (ERP) old-new effect related to emotionally unpleasant, pleasant and neutral photographic images. As expected, correct recognition of all types of images elicited three topographically distinct ERP components sensitive to the classical old-new recognition effect. The results revealed that the behavioral performances were mainly sensitive to arousal, while the ERP old/new effect over posterior regions (300 - 1000 ms) was exclusively affected by unpleasantness. A later component (1000 - 1400 ms) showed an inverted old/ new effect at parietal sites, which was also sensitive to unpleasantness. These results imply that ERP reflecting episodic conscious recollection and post-retrieval monitoring are clearly affected both by valence and arousal.

World Soybean Trade: Growth and Sustainability  [PDF]
Ian McFarlane, Ernesto A. OConnor
Modern Economy (ME) , 2014, DOI: 10.4236/me.2014.55054

Soybeans can be consumed directly as food, and in China they are the major ingredient in food products such as tofu and soy milk, but direct consumption is small relative to their wider use in animal feed, and it is the requirement for livestock feed that drives international trade. Rapid growth of economies and population, especially in Asia, has led to increased demand for animal protein and cooking oil. This paper analyses the recent growth in supply of soybeans from North and South America to China, and considers the factors that may affect this trade in future; a contrast is made with supply from North and South America to Europe, which has not been increasing. The constraints preventing an increase in supply of soybeans to Europe are reviewed. The paper concludes with brief discussion of the factors which will affect world markets for soybeans and soybean products in future.

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