15,236 research outputs found
Father Andrew Mullen 1790-1818: a study in early nineteenth century spirituality
No full textThis thesis is laid out in three parts: Part I. The life and death of Andrew Mullen. The life is based, to a large extent, on a long letter to his mother, Catherine Mullen, dated 7 January 1810. The letter gives a definite insight into his spirituality based on his membership of the Archconfraternity of the Blessed Sacrament. There is a hint that he had a premonition of an early death. Part II. The burial of Andrew Mullen and the immediate cult to him This is based on documentary evidence. Part III. Most of this part is a catalogue of testimonies taken from 1993 onwards. Then there is the conclusion on the popular devotion to Andrew Mullen stressing the theological aspect of the subject. In the course of writing the thesis it was decided to separate the documentary evidence from the oral tradition. This was advantageous in developing the thesis, and the documents provided a secure basis for the oral tradition. Two pieces of information were found in March 1997. They are death notices: 2 January 1819, The Leinster Journal and 7 January 1819, The Car low Morning Post. There is a slight discrepancy between the two on the date of his death. Also this discrepancy shows a slight difference from the date of the tombstone
The key to success in Afghanistan: a modern silk road strategy
No full textS. Frederick Starr; Andrew C. Kuchin
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
author-bios-SRD-19-0063.R1 – Supplemental material for The Network Structure of Police Misconduct
No full textSupplemental material, author-bios-SRD-19-0063.R1 for The Network Structure of Police Misconduct by George Wood, Daria Roithmayr and Andrew V. Papachristos in Socius</p
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Machine learning (ml) approaches to model interdependencies between dynamic loads and crack propagation
No full textStarr, Andrew - Associate SupervisorThe application of machine learning in structural health and crack prediction is of
paramount importance, as it offers the potential to enhance the accuracy,
efficiency, and reliability of detecting and predicting damage in various materials
and structures. This research presents an in-depth exploration of machine
learning (ML) applications in the field of Structural Health Monitoring (SHM)
across various materials, including composites, metals, and polymers. The study
identifies the current challenges in implementing ML in SHM, such as data
sparsity, interpretability of ML models, overfitting, and the absence of general
guidelines for ML model selection.
The research analyses the dynamic response data of different materials and
establishes significant crack depth predictors for materials such as aluminum,
concrete, and 3D-printed Acrylonitrile Butadiene Styrene (ABS). It further
investigates and validates selected ML models to predict crack depth in different
materials. The models' performance is evaluated using Mean Squared Error
(MSE) on both training and test sets, demonstrating their ability to capture
meaningful patterns within the data and make reasonably accurate predictions.
A significant contribution of this study is the proposal of an automated model
utilizing the H2O library for crack propagation prediction in ABS materials. This
model demonstrates the potential of automation in SHM, offering substantial
benefits for structural integrity assessment, maintenance strategies, and
materials design in various industries. This research concludes with
recommendations for future research, including the exploration of advanced ML
algorithms, investigation of additional predictive features, and evaluation of the
models in different real-world scenarios.PhD in Manufacturin
Andrew Field papers
No full textAndrew Field (1938- ) is a scholar, translator, and author, who has published translations of Russian literature, critical studies, biographies, fiction, essays, and travel articles. He holds degrees from Columbia University as well as a Ph.D. from the University of Queensland, Brisbane, Australia. From 1977 to 1979, he was a professor at Griffith University, Brisbane, Australia. Dr. Field's papers consist of materials relating to the writing of his 1983 study of the life and work of Djuna Barnes, Djuna: the Formidable Miss Barnes (alternately entitled Djuna: The Life and Times of Djuna Barnes). Included in the collection are correspondence, manuscripts, research notes, clippings related to the book's publication and reception, and photographs. Also included is a handwritten manuscript of a poem by Barnes
Ep. #185 - Andrew Blum
No full textThis recording and transcript form part of a collection of podcasts conducted by the Cultures of Energy at Rice University. Cultures of Energy brings writers, artists and scholars together to talk, think and feel their way into the Anthropocene. We cover serious issues like climate change, species extinction and energy transition. But we also try to confront seemingly huge and insurmountable problems with insight, creativity and laughter.Co-host Cymene reminisces this week about being the first intern hired by Wired magazine waaaay back in the day. Then (14:42) we are joined by journalist Andrew Blum (https://www.andrewblum.net)—the celebrated author of Tubes: A Journey to the Center of the Internet—to talk about his new book, The Weather Machine (Ecco/HarperCollins, 2019). We dive deep into it, beginning with our “golden age” of meteorology, and its improved computer simulations. We talk about human presence within massive information infrastructures, his interest in place philosophy, balancing attentions to weather and climate, comparing weather banality vs. weather catastrophe; and, Andrew explains to us the different ways of interpreting the history of weather forecasting. From there we turn to the intersection of war and weather, how Cold War rivalry and internationalism helped shape the weather machine as a global cooperative project, and whether private corporations like Google and IBM will control the future of forecasting. Chemtrails and other weather conspiracies make an appearance, as does the secret Nazi invasion of Canada to build a weather station. We close talking about weather and sympathy and sharing storm stories
Servants, Aestheticism, and "The Dominance of Form"
No full textThe fictional representation of domestic servants reveals the relationship between aesthetic form and social domination in the work of aesthetes from Wilde to Henry James and beyond. Tracing the sources of Wilde's An Ideal Husband and Dorian Gray and James' The Ambassadors in French decadence and situating them within the history of service, I show that aestheticist depictions of servants recall, through literary form, the aesthete's dependence on servants' labor. I suggest that modernism shared this socially self-conscious concept of aesthetic form with aestheticism, precisely because it too pursued aesthetic autonomy.Published in ELH, copyright The Johns Hopkins University Press.Peer reviewe
A novel railway maintenance robot for inspection and repair
No full textStarr, Andrew - Associate SupervisorRobotics and automation are widely used in various sectors for their economic
benefits, accuracy, and efficiency. However, the railway industry has been slow
to adopt these technologies for track inspection and repair, despite the increasing
demands of asset management. Advances in robotics, computing, sensors, and
Industry 5.0 are driving companies to explore innovative inspection and repair
methods to optimize resource usage. Mobile manipulators, which combine robot
mobility with industrial precision, have the potential to replace humans in risky
and tedious tasks.
In this research, a Robotic Inspection and Repair System (RIRS) has been
developed to establish an improved track inspection method and a robotic repair
technique. With a 0.27% error rate in calculating defect positions and 1mm
precision in actuation, RIRS demonstrates strong feasibility for railway track
maintenance.
Later, an improved inspection method has been proposed fusing 3D
reconstructed model of the target object from the monocular camera with the
large-scale Global Positioning System (GPS) data, medium-scale environment
perception from Light Detection And Ranging (LiDAR) and small-scale Colour
and Depth (RGB-D) model. Texture of surface and less than 5%-dimensional
error of the 3D model compared to the physical model ensures the credibility of
the improved inspection technique which provides more information of the target
object and sets the foundation for a data-rich digital twin in the future.
Finally, the framework of both human-in-the-loop repair task and autonomous
simulated repair task have been proposed. Successful delivery of the correct tool
based on the detected defect upon receiving command from the human operator
and automatic circular trajectory generation demonstrate the prospects of RIRS
for assisting human in track repair tasks.PhD in Manufacturin
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