44,207 results on '"Squires, A."'
Search Results
52. HRTF upsampling with a generative adversarial network using a gnomonic equiangular projection
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Hogg, Aidan O. T., Jenkins, Mads, Liu, He, Squires, Isaac, Cooper, Samuel J., and Picinali, Lorenzo
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Electrical Engineering and Systems Science - Audio and Speech Processing ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Human-Computer Interaction ,Computer Science - Machine Learning ,Computer Science - Sound ,Electrical Engineering and Systems Science - Signal Processing - Abstract
An individualised head-related transfer function (HRTF) is very important for creating realistic virtual reality (VR) and augmented reality (AR) environments. However, acoustically measuring high-quality HRTFs requires expensive equipment and an acoustic lab setting. To overcome these limitations and to make this measurement more efficient HRTF upsampling has been exploited in the past where a high-resolution HRTF is created from a low-resolution one. This paper demonstrates how generative adversarial networks (GANs) can be applied to HRTF upsampling. We propose a novel approach that transforms the HRTF data for direct use with a convolutional super-resolution generative adversarial network (SRGAN). This new approach is benchmarked against three baselines: barycentric upsampling, spherical harmonic (SH) upsampling and an HRTF selection approach. Experimental results show that the proposed method outperforms all three baselines in terms of log-spectral distortion (LSD) and localisation performance using perceptual models when the input HRTF is sparse (less than 20 measured positions)., Comment: 15 pages, 9 figures, Preprint (Accepted to IEEE/ACM Transactions on Audio, Speech, and Language Processing on the 15 Feb 2024)
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- 2023
53. Recommendations for Verifying HDR Subjective Testing Workflows
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Vibhoothi, Katsenou, Angeliki, Squires, John, Pitié, François, and Kokaram, Anil
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Computer Science - Human-Computer Interaction ,Computer Science - Multimedia ,Electrical Engineering and Systems Science - Image and Video Processing ,Electrical Engineering and Systems Science - Signal Processing - Abstract
Over the past few years, there has been an increase in the demand and availability of High Dynamic Range (HDR) displays and content. To ensure the production of high-quality materials, human evaluation is required. However, ascertaining whether the full playback pipeline is indeed HDR-compliant can be challenging. In this paper, we present a set of recommendations for conformance testing to validate various aspects of the testing workflow, including playback, displays, brightness, colours, and viewing environment. We assessed the effectiveness of HDR conversion techniques used in current standards development (3GPP) for making source materials. Additionally, we evaluate HDR display technologies, including OLED and LCD, using both consumer television and a reference monitor., Comment: Accepted Camera-ready version of QOMEX 2023 Short-paper
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- 2023
54. Simulation of a Compton-based detector for low-dose high-resolution time-of-flight positron emission tomography
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Domurat-Sousa, Kepler, Poe, Cameron M., McDaniel, Maya S., Spieglan, Eric, Shida, Joao F., Angelico, Evan, Adams, Bernhard W., La Riviere, Patrick J., Frisch, Henry J., and Squires, Allison H.
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Physics - Medical Physics ,High Energy Physics - Experiment - Abstract
Two major challenges in time-of-flight positron emission tomography (TOF-PET) are low spatial resolution and high radioactive dose to the patient, both of which result from limitations in detection technology rather than fundamental physics. A new type of TOF-PET detector employing low-atomic number (low-Z) scintillation media and large-area, high-resolution photodetectors to record Compton scattering locations in the detector has been proposed as a promising alternative, but the minimum technical requirements for such a system have not yet been established. Here we present a simulation study evaluating the potential of a proposed low-Z detection medium, linear alkylbenzene (LAB) doped with a switchable molecular recorder, for next-generation TOF-PET detection. We developed a custom Monte Carlo simulation of full-body TOF-PET using the TOPAS Geant4 software package. By quantifying contributions and tradeoffs for energy, spatial, and timing resolution of the detector, we show that at reasonable combination of specifications, our likelihood-based identification of pairs of first interaction locations in the simulated detector identifies 87.1% of pairs with zero or negligible error, and correctly rejects 90% of all in-patient scatters. The same specifications give TOF-PET sensitivity of ~66.7% and PSF width 4.6 mm with clear contrast. A detector with these specifications provides a clear image of a brain phantom simulated at less than 1% of a standard radiotracer dose., Comment: 25 pages, 9 figures
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- 2023
55. Peer health coach experiences promoting a nondiet approach in a university health coaching program
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Lee, Saemi, Lima Fogaca, Janaina, Papini, Natalie, Joseph, Courtney, Squires, Nikole, Clifford, Dawn, and Lee, Jonathan
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- 2024
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56. Real Estate Insights Navigating the future of property professionals: an AI-enabled paradigm
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Dyason, David and Squires, Graham
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- 2024
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57. Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models.
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Alvaro Ribot, Chandler Squires, and Caroline Uhler
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- 2024
58. Nephrolithiasis and Urinary Tract Calculi
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Squires, Judy H., Chaudhry, Rajeev, Miyashita, Yosuke, Sutherland, Richard, Fordham, Lynn Ansley, Medina, L. Santiago, Series Editor, Applegate, Kimberly E., Series Editor, Blackmore, C. Craig, Series Editor, Otero, Hansel J., editor, and Kaplan, Summer L., editor
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- 2024
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59. ‘A Life Worth Living: All My Days’—Rural Social Work with Older People
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Squires, Becky, de Lima, Philomena, Series Editor, Leach, Belinda, Series Editor, Turbett, Colin, editor, and Pye, Jane, editor
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- 2024
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60. Associations between specialized dementia care, COVID-19 and central nervous system medication use in assisted living: a population-based repeated cross-sectional study
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Maxwell, Colleen J., Dampf, Hana, Squires, Jillian P., Hogan, David B., Cotton, Cecilia A., MMath, Erik Youngson, Hsu, Zoe, and Hoben, Matthias
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- 2024
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61. Tonabersat suppresses priming/activation of the NOD-like receptor protein-3 (NLRP3) inflammasome and decreases renal tubular epithelial-to-macrophage crosstalk in a model of diabetic kidney disease
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Cliff, C. L., Squires, P. E., and Hills, C. E.
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- 2024
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62. Assessing primary health care provider and organization readiness to address family violence in Alberta, Canada: development of a Delphi consensus readiness tool
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Montesanti, Stephanie, Sehgal, Anika, Zaeem, Lubna, McManus, Carrie, Squires, Suzanne, and Silverstone, Peter
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- 2024
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63. An adaptive biomolecular condensation response is conserved across environmentally divergent species
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Keyport Kik, Samantha, Christopher, Dana, Glauninger, Hendrik, Hickernell, Caitlin Wong, Bard, Jared A. M., Lin, Kyle M., Squires, Allison H., Ford, Michael, Sosnick, Tobin R., and Drummond, D. Allan
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- 2024
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64. Real world outcomes of distributing Lucira Check-It® COVID self-tests in Ontario, Canada: the GetaKit COVID study
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Orser, Lauren, Squires, Janet E., Musten, Alexandra, Ho, Nikki, Lindsay, Jennifer, Pai, Nitika Pant, and O’Byrne, Patrick
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- 2024
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65. Influence of the work environment of nurses on the 30-day mortality of patients hospitalized in Polish hospitals. cross-sectional studies
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Malinowska-Lipień, Iwona, Put, Dariusz, Maluchnik, Michał, Gabryś, Teresa, Kózka, Maria, Gajda, Krzysztof, Gniadek, Agnieszka, Brzostek, Tomasz, and Squires, Allison
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- 2024
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66. Incorporating frailty to address the key challenges to geriatric economic evaluation
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Kwon, Joseph, Squires, Hazel, and Young, Tracey
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- 2024
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67. The association between health-related quality of life and problem gambling severity: a cross-sectional analysis of the Health Survey for England
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Moore, Esther, Pryce, Robert, Squires, Hazel, and Goyder, Elizabeth
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- 2024
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68. Breast Health Awareness: Understanding Health-Seeking Behavior in Western Kenya
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Bhatia, Manisha B., Kisilu, Nicholas, Kiptoo, Stephen, Limenik, Ivan, Adaniya, Emily, Kibiwot, Silvanus, Wabende, Lucy Nanjala, Jepkirui, Sally, Awuor, Dorice Adhiambo, Morgan, Jennifer, Loehrer, Patrick J., Hunter-Squires, JoAnna L., and Busakhala, Naftali
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- 2024
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69. A common framework for health data governance standards
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Torabi, Fatemeh, Squires, Emma, Orton, Chris, Heys, Sharon, Ford, David, Lyons, Ronan A., and Thompson, Simon
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- 2024
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70. Serum biomarkers correlated with liver stiffness assessed in a multicenter study of pediatric cholestatic liver disease
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Leung, Daniel H, Devaraj, Sridevi, Goodrich, Nathan P, Chen, Xinpu, Rajapakshe, Deepthi, Ye, Wen, Andreev, Victor, Minard, Charles G, Guffey, Danielle, Molleston, Jean P, Bass, Lee M, Karpen, Saul J, Kamath, Binita M, Wang, Kasper S, Sundaram, Shikha S, Rosenthal, Philip, McKiernan, Patrick, Loomes, Kathleen M, Jensen, M Kyle, Horslen, Simon P, Bezerra, Jorge A, Magee, John C, Merion, Robert M, Sokol, Ronald J, Shneider, Benjamin L, Network, The Childhood Liver Disease Research, Alonso, Estella, Bass, Lee, Kelly, Susan, Riordan, Mary, Melin‐Aldana, Hector, Bezerra, Jorge, Bove, Kevin, Heubi, James, Miethke, Alexander, Tiao, Greg, Denlinger, Julie, Chapman, Erin, Sokol, Ronald, Feldman, Amy, Mack, Cara, Narkewicz, Michael, Suchy, Frederick, Van Hove, Johan, Garcia, Benigno, Kauma, Mikaela, Kocher, Kendra, Steinbeiss, Matthew, Lovell, Mark, Piccoli, David, Rand, Elizabeth, Russo, Pierre, Spinner, Nancy, Erlichman, Jessi, Stalford, Samantha, Pakstis, Dina, King, Sakya, Squires, Robert, Sindhi, Rakesh, Venkat, Veena, Bukauskas, Kathy, Haberstroh, Lori, Squires, James, Bull, Laura, Curry, Joanna, Langlois, Camille, Kim, Grace, Teckman, Jeffery, Kociela, Vikki, Nagy, Rosemary, Patel, Shraddha, Cerkoski, Jacqueline, Bozic, Molly, Subbarao, Girish, Klipsch, Ann, Sawyers, Cindy, Cummings, Oscar, Murray, Karen, Hsu, Evelyn, Cooper, Kara, Young, Melissa, Finn, Laura, Ng, Vicky, Quammie, Claudia, Putra, Juan, Sharma, Deepika, Parmar, Aishwarya, Guthery, Stephen, Jensen, Kyle, Rutherford, Ann, Lowichik, Amy, Book, Linda, and Meyers, Rebecka
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Biomedical and Clinical Sciences ,Clinical Sciences ,Chronic Liver Disease and Cirrhosis ,Rare Diseases ,Pediatric ,Liver Disease ,Digestive Diseases ,Oral and gastrointestinal ,Humans ,Child ,Liver ,Matrix Metalloproteinase 7 ,Endoglin ,Interleukin-8 ,Cholestasis ,Liver Cirrhosis ,Liver Diseases ,Biomarkers ,Alagille Syndrome ,Elasticity Imaging Techniques ,Childhood Liver Disease Research Network ,Medical Biochemistry and Metabolomics ,Immunology ,Gastroenterology & Hepatology ,Clinical sciences - Abstract
Background and aimsDetailed investigation of the biological pathways leading to hepatic fibrosis and identification of liver fibrosis biomarkers may facilitate early interventions for pediatric cholestasis.Approach and resultsA targeted enzyme-linked immunosorbent assay-based panel of nine biomarkers (lysyl oxidase, tissue inhibitor matrix metalloproteinase (MMP) 1, connective tissue growth factor [CTGF], IL-8, endoglin, periostin, Mac-2-binding protein, MMP-3, and MMP-7) was examined in children with biliary atresia (BA; n = 187), alpha-1 antitrypsin deficiency (A1AT; n = 78), and Alagille syndrome (ALGS; n = 65) and correlated with liver stiffness (LSM) and biochemical measures of liver disease. Median age and LSM were 9 years and 9.5 kPa. After adjusting for covariates, there were positive correlations among LSM and endoglin ( p = 0.04) and IL-8 ( p
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- 2023
71. Unpaired Multi-Domain Causal Representation Learning
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Sturma, Nils, Squires, Chandler, Drton, Mathias, and Uhler, Caroline
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Statistics - Machine Learning ,Computer Science - Machine Learning ,Statistics - Methodology - Abstract
The goal of causal representation learning is to find a representation of data that consists of causally related latent variables. We consider a setup where one has access to data from multiple domains that potentially share a causal representation. Crucially, observations in different domains are assumed to be unpaired, that is, we only observe the marginal distribution in each domain but not their joint distribution. In this paper, we give sufficient conditions for identifiability of the joint distribution and the shared causal graph in a linear setup. Identifiability holds if we can uniquely recover the joint distribution and the shared causal representation from the marginal distributions in each domain. We transform our identifiability results into a practical method to recover the shared latent causal graph.
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- 2023
72. Examining the Use of Twitter in Online Classes: Can Twitter Improve Interaction and Engagement?
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Rohr, Linda, Squires, Laura, and Peters, Adrienne
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Student engagement promotes communication and knowledge acquisition, a concept that is challenged in the online environment as few opportunities exist to physically connect instructors and learners. Limited research suggests that social media is a tool that can positively impact student engagement in the online classroom, which is especially relevant in the case of the COVID-19 pandemic and learning formats transitioning online. Specifically, Twitter, a favoured format for sharing news, entertainment, and professional networking, may provide a platform and an opportunity for engagement between students and the instructor outside of the traditional, formal classroom setting. This research explores how postsecondary students enrolled in two introductory online self-directed asynchronous courses used social media tools for personal, professional, and academic purposes and how Twitter, as a course evaluation requirement, contributed to interaction and engagement. Relying on 104 pre- and 34 post-semester surveys, our analysis revealed that while Twitter was not used as widely as other social media platforms, a notable proportion of students shared positive perceptions about Twitter's use. Further analysis revealed some polarizing results with recommendations for successfully implementing Twitter in online learning.
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- 2022
73. The road to recovery: conservation management for the Critically Endangered Bali myna shows signs of success
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Thomas M. Squires, Agus N.K. Kepakisan, Hery Kusumanegara, Nigel J. Collar, Luh P.E.K. Yuni, Andrew Owen, Andri Nugroho, Mas U. Sarmawi, S. Sunny Nelson, Nurul L. Winarni, and Stuart J. Marsden
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Anthropogenic landscapes ,Asian songbird crisis ,Bali starling ,conservation breeding ,habitat associations ,IUCN Red List ,Leucopsar rothschildi ,reintroduction ,General. Including nature conservation, geographical distribution ,QH1-199.5 - Abstract
The Bali myna Leucopsar rothschildi has long suffered heavy trapping, leading to its near extinction in the wild and categorization as Critically Endangered on the IUCN Red List. Decades of conservation breeding, release of birds and post-release management at Bali Barat National Park have, until recently, failed to secure a viable wild population. However, over the past decade, population increases, expansion into new areas of the National Park and beyond, and successful breeding in both artificial and natural nest sites have occurred. These recent successes are associated with a change in approach by the National Park authority from concentrating efforts on the last refugium of the species (an area protected from trapping but with potentially suboptimal habitat) and towards the human-dominated landscapes around the main road through the National Park. Bali mynas tended to favour areas with extensive shorter grass cover and open canopies and to shun denser woodland. Anthropogenic landscapes such as farmland and plantations presumably mimic the original savannah habitat of the species, but nestbox provision has probably been crucial in these areas in the absence of natural cavities. A potential further factor in the increases in myna numbers and range has been a scheme involving local people in commercial breeding of the species, thereby reducing its market price, and working with communities to reduce trapping pressure. We encourage continuing operation of this management strategy inside the National Park and its further extension into adjacent tourist areas, which appear to have myna-friendly socio-ecological conditions.
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- 2024
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74. Staying Engaged and Achieving Promotion: The Role of Collegial Support and Career Reflection and Assessment for Mid-Career Faculty
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Vicki Squires and Melanie J. Hamilton
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mid-career faculty ,engagement ,career development ,collegial support ,Education (General) ,L7-991 ,Theory and practice of education ,LB5-3640 - Abstract
The challenges and tensions experienced by mid-career faculty (MCF) can lead to frustration, disengagement, or leaving the professoriate altogether, a trend noted by researchers prior to and especially after the pandemic. In this article, we explore the role that collegial support and career reflection and assessment strategies targeting mid-career faculty can play to preserve institutional vitality, support faculty agency, and promote student success. Additionally, we propose initiatives and supports that may assist these faculty members in staying in the academy and staying well as they pursue professional fulfillment and work towards their goals, including promotion to full professorship. We contend that post-secondary campuses should invest in keeping MCF engaged because of the crucial roles they serve on campus.
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- 2024
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75. Assessing primary health care provider and organization readiness to address family violence in Alberta, Canada: development of a Delphi consensus readiness tool
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Stephanie Montesanti, Anika Sehgal, Lubna Zaeem, Carrie McManus, Suzanne Squires, and Peter Silverstone
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Family violence ,Intimate partner violence ,Modified Delphi technique ,Primary healthcare ,Readiness ,Evaluation ,Medicine (General) ,R5-920 - Abstract
Abstract Background Family violence, which includes intimate partner abuse, child abuse, and elder abuse, is a serious public health concern. Primary healthcare (PHC) offers a vital opportunity to identify and address family violence, yet barriers prevent the effective implementation of family violence interventions in PHC settings. The purpose of this study is to improve family violence identification and response in Alberta’s PHC settings by exploring readiness factors. Methods An integrated knowledge translation approach, combining implementation science and participatory action research, was employed to develop a readiness assessment tool for addressing family violence within PHC settings in Alberta. The research involved three phases: phase 1 involved a rapid evidence assessment, phase 2 engaged a panel of healthcare and family violence experts to explore readiness components in the Alberta context, and phase 3 utilized a 3-round Delphi consensus-building process to refine readiness indicators. Results Phase 1 findings from a rapid evidence assessment highlighted five main models/tools for assessing readiness to implement family violence interventions in PHC settings. In phase 2, additional concepts were identified through exploration with healthcare and family violence expert panel members, resulting in a total of 16 concepts for assessing family violence readiness within the Alberta PHC context. The 3-round Delphi consensus-building process in Phase 3 involved nine panelists, who collectively agreed on the inclusion of all concepts and indicators, yielding a total of 60 items for the proposed readiness assessment tool for addressing family violence in PHC within Alberta. Conclusion The current study lays the groundwork for future family violence intervention programs, offering insights into key components that promote readiness for implementing comprehensive programs and supporting PHC organizations in effectively addressing family violence.
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- 2024
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76. An adaptive biomolecular condensation response is conserved across environmentally divergent species
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Samantha Keyport Kik, Dana Christopher, Hendrik Glauninger, Caitlin Wong Hickernell, Jared A. M. Bard, Kyle M. Lin, Allison H. Squires, Michael Ford, Tobin R. Sosnick, and D. Allan Drummond
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Science - Abstract
Abstract Cells must sense and respond to sudden maladaptive environmental changes—stresses—to survive and thrive. Across eukaryotes, stresses such as heat shock trigger conserved responses: growth arrest, a specific transcriptional response, and biomolecular condensation of protein and mRNA into structures known as stress granules under severe stress. The composition, formation mechanism, adaptive significance, and even evolutionary conservation of these condensed structures remain enigmatic. Here we provide a remarkable view into stress-triggered condensation, its evolutionary conservation and tuning, and its integration into other well-studied aspects of the stress response. Using three morphologically near-identical budding yeast species adapted to different thermal environments and diverged by up to 100 million years, we show that proteome-scale biomolecular condensation is tuned to species-specific thermal niches, closely tracking corresponding growth and transcriptional responses. In each species, poly(A)-binding protein—a core marker of stress granules—condenses in isolation at species-specific temperatures, with conserved molecular features and conformational changes modulating condensation. From the ecological to the molecular scale, our results reveal previously unappreciated levels of evolutionary selection in the eukaryotic stress response, while establishing a rich, tractable system for further inquiry.
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- 2024
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77. Introducing the READY Study: DHH Young People's Well-Being and Self-Determination
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Young, Alys, Espinoza, Francisco, Dodds, Claire, Squires, Garry, Rogers, Katherine, Chilton, Helen, and O'Neill, Rachel
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READY is a self-report prospective longitudinal study of deaf and hard of hearing (DHH) young people aged 16 to 19 years on entry. Its overarching aim is to explore the risk and protective factors for successful transition to adulthood. This article introduces the cohort of 163 DHH young people, background characteristics and study design. Focusing on self-determination and subjective well-being only, those who completed the assessments in written English (n = 133) score significantly lower than general population comparators. Sociodemographic variables explain very little of the variance in well-being scores; higher levels of self-determination are a predictor of higher levels of well-being, outweighing the influence of any background characteristics. Although women and those who are LGBTQ+ have statistically significantly lower well-being scores, these aspects of their identity are not predictive risk factors. These results add to the case for self-determination interventions to support better well-being amongst DHH young people.
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- 2023
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78. Vacuole dynamics and popping-based motility in liquid droplets of DNA.
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Saleh, Omar A, Wilken, Sam, Squires, Todd M, and Liedl, Tim
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Vacuoles ,DNA - Abstract
Liquid droplets of biomolecules play key roles in organizing cellular behavior, and are also technologically relevant, yet physical studies of dynamic processes of such droplets have generally been lacking. Here, we investigate and quantify the dynamics of formation of dilute internal inclusions, i.e., vacuoles, within a model system consisting of liquid droplets of DNA 'nanostar' particles. When acted upon by DNA-cleaving restriction enzymes, these DNA droplets exhibit cycles of appearance, growth, and bursting of internal vacuoles. Analysis of vacuole growth shows their radius increases linearly in time. Further, vacuoles pop upon reaching the droplet interface, leading to droplet motion driven by the osmotic pressure of restriction fragments captured in the vacuole. We develop a model that accounts for the linear nature of vacuole growth, and the pressures associated with motility, by describing the dynamics of diffusing restriction fragments. The results illustrate the complex non-equilibrium dynamics possible in biomolecular condensates.
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- 2023
79. Accuracy of Automated Written Expression Curriculum-Based Measurement Scoring
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Mercer, Sterett H., Cannon, Joanna E., Squires, Bonita, Guo, Yue, and Pinco, Ella
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We examined the extent to which automated written expression curriculum-based measurement (aWE-CBM) can be accurately used to computer score student writing samples for screening and progress monitoring. Students (n = 174) with learning difficulties in Grades 1 to 12 who received 1:1 academic tutoring through a community-based organization completed narrative writing samples in the fall and spring across two academic years. The samples were evaluated using four automated and hand-calculated WE-CBM scoring metrics. Results indicated automated and hand-calculated scores were highly correlated at all four timepoints for counts of total words written (rs = 1.00), words spelled correctly (rs = 0.99-1.00), correct word sequences (CWS; rs = 0.96-0.97), and correct minus incorrect word sequences (CIWS; rs = 0.86-0.92). For CWS and CIWS, however, automated scores systematically overestimated hand-calculated scores, with an unacceptable amount of error for CIWS for some types of decisions. These findings provide preliminary evidence that aWE-CBM can be used to efficiently score narrative writing samples, potentially improving the feasibility of implementing multi-tiered systems of support in which the written expression skills of large numbers of students are screened and monitored.
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- 2021
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80. Creating an Equity Framework That Supports Underserved Students. Policy Brief
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Education Commission of the States (ECS), Squires, John, and Roberts, Maxine T.
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The growing divides across the educational spectrum all underscore the need to change systems to promote the talents and success of every student, particularly those who are racially minoritized or poverty-impacted within a state. Enacting a process to establish policy that addresses the needs of these student groups can help create the conditions for each student to succeed. To build targeted reforms that serve students who are often disproportionately impacted in the educational system, state and education leaders can consider policies and practices for maximizing opportunities and outcomes for each student group in their state. Using an equity framework, as outlined in this series of reports, provides an important foundation from which to start. This Policy Brief proposes three core principles for creating an equity framework: using data intentionally, understanding the institutional environment and implementing differentiated supports for underserved students. This brief is the first installment in a three-part series on how the use of an equity framework can support success for students who are underserved in educational settings. [For "Using Student Data to Address Inequities. Policy Brief," see ED620217. For "Promising Practices in Creating an Equity Framework. Policy Brief," see ED620215.]
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- 2021
81. Promising Practices in Creating an Equity Framework. Policy Brief
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Education Commission of the States (ECS), Roberts, Maxine T., and Squires, John
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Emerging practices in both K-12 and higher education hold great promise in the establishment of equity frameworks. The use of finely disaggregated data, the effort to track additional student groups, and related work, all help to establish policies and tools to monitor the impact of reform efforts to address inequities. State programs and initiatives that employ aspects of the proposed equity framework are highlighted in this final Policy Brief in the series. This brief delves into specific state examples, including Massachusetts, where the department of higher education crafted an equity framework to address inequities for Black and Latino students, who are often placed into developmental education; and Washington, where a school district used disaggregated data in a meaningful way to provide services for its students. This brief is the third installment in a three-part series on how the use of an equity framework can support success for students who are underserved in educational settings. [For "Creating an Equity Framework That Supports Underserved Students. Policy Brief", see ED620218. For "Using Student Data to Address Inequities. Policy Brief", see ED620217.]
- Published
- 2021
82. Using Student Data to Address Inequities. Policy Brief
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Education Commission of the States (ECS), von Zastrow, Claus, Roberts, Maxine T., and Squires, John
- Abstract
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet barriers to collecting and reporting on disaggregated data persist. Nonetheless, states that disaggregate data as fully as possible can best support the increasingly diverse student populations they serve in their schools and higher education institutions. Past and present data collection practices are presented in this Policy Brief along with insight on enduring challenges and strategies for improving both the collection and presentation of data. The brief is the second installment in a three-part series on how the use of an equity framework can support success for students who are underserved in educational settings. [For "Creating an Equity Framework That Supports Underserved Students. Policy Brief," see ED620218. For "Promising Practices in Creating an Equity Framework. Policy Brief," see ED620215.]
- Published
- 2021
83. Conservative criminal justice
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Squires, Peter, primary
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- 2024
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84. Conservative criminal justice: a strange rediscovery of ‘law and order’ politics
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Squires, Peter, primary
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- 2024
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85. Anion-polarisation-directed short-range-order in antiperovskite Li$_2$FeSO
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Coles, Samuel W., Falkowski, Viktoria, Geddes, Harry S., Pérez, Gabriel E., Booth, Samuel G., Squires, Alexander G., O'Rourke, Conn, McColl, Kit, Goodwin, Andrew L., Cussen, Serena A., Clarke, Simon J., Islam, M. Saiful, and Morgan, Benjamin J.
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Condensed Matter - Materials Science ,Condensed Matter - Statistical Mechanics - Abstract
Short-range ordering in cation-disordered cathodes can have a significant effect on their electrochemical properties. Here, we characterise the cation short-range order in the antiperovskite cathode material Li$_2$FeSO, using density functional theory, Monte Carlo simulations, and synchrotron X-ray pair-distribution-function data. We predict partial short-range cation-ordering, characterised by favourable OLi$_4$Fe$_2$ oxygen coordination with a preference for polar cis-OLi$_4$Fe$_2$ over non-polar trans-OLi$_4$Fe$_2$ configurations. This preference for polar cation configurations produces long-range disorder, in agreement with experimental data. The predicted short-range-order preference contrasts with that for a simple point-charge model, which instead predicts preferential trans-OLi$_4$Fe$_2$ oxygen coordination and corresponding long-range crystallographic order. The absence of long-range order in Li$_2$FeSO can therefore be attributed to the relative stability of cis-OLi$_4$Fe$_2$ and other non-OLi$_4$Fe$_2$ oxygen-coordination motifs. We show that this effect is associated with the polarisation of oxide and sulfide anions in polar coordination environments, which stabilises these polar short-range cation orderings. We propose similar anion-polarisation-directed short-range-ordering may be present in other heterocationic materials that contain cations with different formal charges. Our analysis also illustrates the limitations of using simple point-charge models to predict the structure of cation-disordered materials, where other factors, such as anion polarisation, may play a critical role in directing both short- and long-range structural correlations.
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- 2022
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86. Linear Causal Disentanglement via Interventions
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Squires, Chandler, Seigal, Anna, Bhate, Salil, and Uhler, Caroline
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Statistics - Machine Learning ,Computer Science - Machine Learning - Abstract
Causal disentanglement seeks a representation of data involving latent variables that relate to one another via a causal model. A representation is identifiable if both the latent model and the transformation from latent to observed variables are unique. In this paper, we study observed variables that are a linear transformation of a linear latent causal model. Data from interventions are necessary for identifiability: if one latent variable is missing an intervention, we show that there exist distinct models that cannot be distinguished. Conversely, we show that a single intervention on each latent variable is sufficient for identifiability. Our proof uses a generalization of the RQ decomposition of a matrix that replaces the usual orthogonal and upper triangular conditions with analogues depending on a partial order on the rows of the matrix, with partial order determined by a latent causal model. We corroborate our theoretical results with a method for causal disentanglement that accurately recovers a latent causal model.
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- 2022
87. Two approaches to inpainting microstructure with deep convolutional generative adversarial networks
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Squires, Isaac, Cooper, Samuel J., Dahari, Amir, and Kench, Steve
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Computer Science - Computer Vision and Pattern Recognition ,Electrical Engineering and Systems Science - Image and Video Processing - Abstract
Imaging is critical to the characterisation of materials. However, even with careful sample preparation and microscope calibration, imaging techniques are often prone to defects and unwanted artefacts. This is particularly problematic for applications where the micrograph is to be used for simulation or feature analysis, as defects are likely to lead to inaccurate results. Microstructural inpainting is a method to alleviate this problem by replacing occluded regions with synthetic microstructure with matching boundaries. In this paper we introduce two methods that use generative adversarial networks to generate contiguous inpainted regions of arbitrary shape and size by learning the microstructural distribution from the unoccluded data. We find that one benefits from high speed and simplicity, whilst the other gives smoother boundaries at the inpainting border. We also outline the development of a graphical user interface that allows users to utilise these machine learning methods in a 'no-code' environment., Comment: 16 pages, 11 figures
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- 2022
88. MicroLib: A library of 3D microstructures generated from 2D micrographs using SliceGAN
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Kench, Steve, Squires, Isaac, Dahari, Amir, and Cooper, Samuel J
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Computer Science - Machine Learning ,Computer Science - Computational Engineering, Finance, and Science - Abstract
3D microstructural datasets are commonly used to define the geometrical domains used in finite element modelling. This has proven a useful tool for understanding how complex material systems behave under applied stresses, temperatures and chemical conditions. However, 3D imaging of materials is challenging for a number of reasons, including limited field of view, low resolution and difficult sample preparation. Recently, a machine learning method, SliceGAN, was developed to statistically generate 3D microstructural datasets of arbitrary size using a single 2D input slice as training data. In this paper, we present the results from applying SliceGAN to 87 different microstructures, ranging from biological materials to high-strength steels. To demonstrate the accuracy of the synthetic volumes created by SliceGAN, we compare three microstructural properties between the 2D training data and 3D generations, which show good agreement. This new microstructure library both provides valuable 3D microstructures that can be used in models, and also demonstrates the broad applicability of the SliceGAN algorithm., Comment: 10 pages, 4 figures
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- 2022
89. The effect of variable labels on deep learning models trained to predict breast density
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Squires, Steven, Harkness, Elaine F., Evans, D. Gareth, and Astley, Susan M.
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
Purpose: High breast density is associated with reduced efficacy of mammographic screening and increased risk of developing breast cancer. Accurate and reliable automated density estimates can be used for direct risk prediction and passing density related information to further predictive models. Expert reader assessments of density show a strong relationship to cancer risk but also inter-reader variation. The effect of label variability on model performance is important when considering how to utilise automated methods for both research and clinical purposes. Methods: We utilise subsets of images with density labels to train a deep transfer learning model which is used to assess how label variability affects the mapping from representation to prediction. We then create two end-to-end deep learning models which allow us to investigate the effect of label variability on the model representation formed. Results: We show that the trained mappings from representations to labels are altered considerably by the variability of reader scores. Training on labels with distribution variation removed causes the Spearman rank correlation coefficients to rise from $0.751\pm0.002$ to either $0.815\pm0.006$ when averaging across readers or $0.844\pm0.002$ when averaging across images. However, when we train different models to investigate the representation effect we see little difference, with Spearman rank correlation coefficients of $0.846\pm0.006$ and $0.850\pm0.006$ showing no statistically significant difference in the quality of the model representation with regard to density prediction. Conclusions: We show that the mapping between representation and mammographic density prediction is significantly affected by label variability. However, the effect of the label variability on the model representation is limited.
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- 2022
90. Enabling Advanced Multi-Modal Neuroimaging Analysis within a Trusted Research Environment
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Lewis Hotchkiss, Emma Squires, John Gallacher, Mark Newbury, Catrin Morris, Ronan Lyons, and Simon Thompson
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Demography. Population. Vital events ,HB848-3697 - Abstract
Introduction Globally, 55 million individuals have dementia, with an increasing annual incident of 10 million. Enabling the development of new multi-modal models can improve the current diagnostic pathways and potentially contribute to early diagnosis and treatment of dementia. Here, we report how multi-modal resources is achieved within the successful Trusted Research Environment (TRE). Objectives We aimed to identify the challenges of the storage, distribution and analysis of neuroimaging data and how we could implement a comprehensive infrastructure to deal with these. The problems we specifically aimed to address were how to: anonymise scans, store large amounts of data, standardise datasets to a common format, extract metadata, provision the data, and allow for analysis. Methods We document various stages and capacities required for multi-modal neuroimaging analysis for dementia and conclude that achieving research ready assets to enable neuroimaging analysis for dementia from existing resources requires an engineered process to facilitate multiple aspects of curation, provisioning and large-scale analysis. Results We developed an ingest pipeline for neuroimaging data to meet the requirements set out in the objectives. This involved standardising all datasets to the Brain Imaging Data Structure, defacing scans and anonymising data, using MinIO for data storage and extracting metadata from header information for data discovery and provisioning. Conclusion The neuroimaging ingest pipeline developed has allowed for the distribution of imaging datasets within DPUK which has facilitated multi-modal research on anonymised and standardised data and enabled linkage with phenotypic and genomic data.
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- 2024
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91. Developing a Framework for Safe AI Model Development on Sensitive Healthcare Data
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Lewis Hotchkiss, Emma Squires, Timothy Rittman, John Gallacher, and Simon Thompson
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Demography. Population. Vital events ,HB848-3697 - Abstract
The Dementias Platform UK (DPUK) Data Portal holds over 60 cohort datasets from over 3 million participants with a range of multi-modal data including neuroimaging and genomics. This has meant we have seen an increasing interest in the development of AI models with the potential for clinical implementation. However, this presents a unique challenge to disclosure control when it comes to assessing these AI models for release due to the risk of attacks such as membership inference, model inversion or even just vulnerabilities in the models like overfitting. This is why we hosted a series of workshops bringing together members of the public, expert researchers, and data owners across the UK to build a framework for allowing the safe development and release of AI models trained on sensitive healthcare data. From this, we have put together recommendations and guidelines for the use of privacy-preserving techniques in AI models to protect patient privacy, and to allow the safe deployment of these models outside of trusted research environments. We also identified the unique challenges to privacy and implementation of privacy-preserving techniques in AI models regarding the use of complex data such as neuroimaging and genomics. This framework has created a path forward for supporting safe AI model development which takes into consideration rapidly evolving ethical, legal and privacy considerations.
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- 2024
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92. The 'angioletti' of Palermo: the health and development of mummified non-adults in late modern Palermo, Sicily (1787–1880 CE)
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Kirsty Squires, Mark Viner, Wayne Hoban, Robert Loynes, Katherine Van Schaik, and Dario Piombino-Mascali
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mummies ,non-adults ,Capuchin Catacombs ,radiography ,demography ,health ,Medicine (General) ,R5-920 - Abstract
The Capuchin Catacombs in Palermo, Sicily, have been home to non-adult mummified remains since the seventeenth century CE. Despite the increasing numbers of scientific studies conducted at this site, very little research has focused specifically on the youngest members of late modern (1787–1880 CE) society. This research aims to redress the balance by examining 43 individuals to gain insight into the demographic profile of mummified non-adults, to characterize their health status and possible cause of death, and to better understand the funerary treatment offered to the youngest members of society. A portable X-ray unit was used to capture anteroposterior and lateral images of each mummy; this facilitated age estimation, the identification of pathological and/traumatic lesions, and evidence of conservation and the mummification process more generally. This study revealed that regardless of age and health status at the time of death, the mortuary rite performed was primarily influenced by the wealth and social standing of the deceased’s kin. No demographic trends were observed in the data and the lack of evidence of metabolic, neoplastic, and traumatic bone lesions suggest these non-adults died from short-term, acute illnesses. Even when individuals did display evidence of chronic health conditions that would have impacted their day-to-day lives (e.g., B035), they were not excluded from this mortuary tradition on the basis of their long-term health and care requirements in life. Artifacts were found with all individuals examined and were associated with the mummification process, conservation of mummies, and/or their display. This research has ultimately demonstrated that non-invasive imaging can be used to gain a more comprehensive understanding of the lives and deaths of non-adults inhabiting late modern Palermo.
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- 2024
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93. Ethnic differences in the manifestation of early-onset type 2 diabetes
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Liam Smeeth, Moffat J Nyirenda, Andrew T Hattersley, Angus G Jones, Jean-Claude Katte, Isaac Sekitoleko, Davis Kibirige, Anita V Hill, William Lumu, Julieanne Knupp, and Steven Squires
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Diseases of the endocrine glands. Clinical endocrinology ,RC648-665 - Abstract
Introduction We undertook phenotypic characterization of early-onset and late-onset type 2 diabetes (T2D) in adult black African and white European populations with recently diagnosed T2D to explore ethnic differences in the manifestation of early-onset T2D.Research design and methods Using the Uganda Diabetes Phenotype study cohort of 500 adult Ugandans and the UK StartRight study cohort of 714 white Europeans with recently diagnosed islet autoantibody-negative T2D, we compared the phenotypic characteristics of participants with early-onset T2D (diagnosed at
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- 2024
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94. Cumulative sucrose exposure for repeated procedural pain in preterm neonates and neurodevelopment at 18 months of corrected age: a prospective observational longitudinal study
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Marsha Campbell-Yeo, Janet Squires, Carole Estabrooks, Denise Harrison, Janet Yamada, Mariana Bueno, Anna Taddio, Bonnie Stevens, Anne R Synnes, Sharyn Gibbins, Marilyn Ballantyne, Carol McNair, Shirine Riahi, and Charles Victor
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Pediatrics ,RJ1-570 - Abstract
Introduction Oral sucrose is repeatedly administered to neonates in the neonatal intensive care unit (NICU) to treat pain from commonly performed procedures; however, there is limited evidence on its long-term cumulative effect on neurodevelopment. We examined the association between total sucrose volumes administered to preterm neonates for pain mitigation in the NICU and their neurodevelopment at 18 months of corrected age (CA).Methods A prospective longitudinal single-arm observational study that enrolled hospitalised preterm neonates
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- 2024
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95. 'Survival ecology' : an urgent ecological study of birds imperilled by the cage-bird trade across Java and Bali, Indonesia
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Squires, Thomas Michael
- Abstract
Throughout Southeast Asia, the trade in wild-caught songbirds-prized for their vocal ability, plumage, rarity and cultural significance-is having a massive effect on wild populations, such that an Asian Songbird Crisis was declared in 2017. Indonesia, particularly its most populous island of Java, is widely regarded as the epicentre of Southeast Asia's cage-bird trade, with millions of birds sold annually at markets irrespective of their legal status and astonishing levels of bird ownership that have led to estimates that there may actually be more songbirds kept in cages across Java than there are in the wild. The aim of this thesis was to understand the ecology and management needs of some of the passerines most threatened by the cage-bird trade across Java and Bali, Indonesia, to guide in situ conservation actions. First, I implemented a citizen science event in Java and Bali to gather bird occurrence data and examine the potential for citizen science as a conservation tool in Indonesia. I then used these data to model the distributions of 23 of Java's lowland birds in order to assess the convergence between the current distribution and previous distribution maps and the network of protected areas. Following this, I studied the ecology and conservation management of two of Java and Bali's most endangered sturnids, the Black-winged Myna (Acridotheres melanopterus) and Bali Myna (Leucopsar rothschildi). There are large existing gaps in biological data coverage that hinder efforts to generate robust baseline information on the distribution and abundance of birds across Java and Bali. I attempted to address this by designing and implementing a month-long citizen science event, 'BigMonth2020', which had the dual aim of engaging Indonesian society in citizen science and generating a large bird occurrence dataset. The event was publicised through social media and incentivised with grants and competitions. A huge number of bird records (n = 102,887) were submitted to the 'Burungnesia' phone app during the event, resulting in a massive increase (147%) in spatial coverage of data, so that now 79.3% of grid squares contain at least some data. Three quarters of Java and Bali's bird species (n = 353) were recorded and this included 27 globally threatened species, many of which were recorded in new areas. The event was more inclusive in terms of female participation (23.4% of participants were female) than other bird- related pastimes in Indonesia, such as bird-keeping and songbird contests, and the vast majority (71.8%) of participants were under 30-years old. The project cost less than US$10,000 to run, and serves as a model for rapidly establishing a distributional baseline for monitoring biodiversity trajectories. The current distributions of many of Java's lowland passerines remain poorly understood, and this lack of baseline data precludes efforts to monitor distribution changes in threatened species. Data generated from BigMonth2020 were combined with other citizen science bird datasets available for Java (eBird, Burungnesia and the Indonesian Bird Atlas) to assess the current distributions of 23 of Java's lowland birds. Most species exhibited relatively patchy distributions that were often significantly smaller than existing estimates for their extent of occurrence. Among the environmental variables used in modelling, land-cover-based predictors were ultimately the most important in the models for the majority of species (20/23), with landscape-scale habitat diversity, the proportion of forest, and the proportion of cultivated land most commonly the most important predictor. The lack of convergence between the current distribution of the modelled species with Java's formally protected areas suggests that future conservation for these and other lowland birds, which are likely to come under increasing anthropogenic pressure, will need to occur alongside people and involve other effective area-based conservation measures (OECMs). My findings highlight the considerable value of continued citizen science efforts across Java, and indeed elsewhere in data-poor yet biodiverse regions. Sturnids are popular cage-birds owing to their vocal ability and the bold colours and striking patterns of their plumage and in some cases bare facial skin. As a result, there have been disastrous population declines in some of Java's sturnids. I documented the plight of the Black-winged Myna, a Java and Bali endemic that has been trapped to near extinction. I estimated the current range and population size of the species at Baluran National Park, which supports Java's last known population, and used species distribution modelling to evaluate the suitability of currently unoccupied areas across the park to identify priorities for management intervention. I estimated that the Black- winged Myna population numbers 179 individuals (95% CI: 111-288) and that its current range is restricted to a small area (12.3 km2) of savanna and dry deciduous woodland, while my model indicated that a considerable extra portion (72.1 km2) has potentially suitable habitat. I inferred that the main cause for the disparity between its current and potential range is trapping, compounded by savanna loss and degradation due to overgrazing by cattle and the spread of invasive thorny acacia (Vachellia nilotica). The recent partial clearance of acacia appears to have assisted a modest population recovery by the myna, but its further population growth depends on effective management of illegal poaching, further clearance of acacia, and easing grazing pressure on areas of savanna, particularly through engagement with human communities living inside the park. Continuing with the theme of studying endangered sturnids, I measured the viability of the Bali Myna population at Bali Barat National Park (BBNP). Despite decades of conservation efforts, in the 2000s it was reported that there were probably no Bali Mynas left in the wild, and it is unlikely these reports would be false considering how well-known the location of the last individuals' was and that mynas can be readily detected by call. Since then, reintroductions of captive-bred birds and other management interventions have led to population growth. To plan for the next decade of conservation management, I modelled the Bali Myna population at BBNP to explore the effects of (1) changes to population supplementation and (2) an increase in trapping intensity. A baseline model was validated using population census and captive-bred release data from the last ten years and the model was projected ten years into the future. The population was predicted to increase under current levels of supplementation, while stopping supplementation in five years had only a small effect. I modelled the differential effects of two trapping methods used by poachers and three trapping volumes. The population was resilient to low levels of trapping with and without population supplementation but declined under high levels of trapping. On current trajectory, I estimated that the population will approach self-sustainability in the next 5-10 years. The supplementation programme at BBNP could then either be scaled back or repurposed as a translocation project to expand the myna's range, and nest- boxes could be used to support population growth. There is much more work needed to address issues related to the Asian Songbird Crisis, and I conclude by providing some recommendations for future work that are related to the topics covered in this thesis. Among these are the need to continue to grow citizen science efforts across Indonesia, a recommendation for urgent fieldwork to understand the status of at least three of Sulawesi's six island endemic sturnids (and indeed other Indonesian sturnids that are poorly known), a call for community-based conservation projects, and further ecological fieldwork to support reintroductions and conservation management of threatened species.
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- 2023
96. Art centres supporting our elders - 'old people, that's where our strength comes from' - results from a national survey of Australian Aboriginal and Torres Strait Islander community controlled art centres
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Mackell, Paulene, Squires, Kathryn, Fraser, Scott, Cecil, Jessica, Meredith, Maree, Malay, Roslyn, Lindeman, Melissa A, Schmidt, Chrischona, Batchelor, Frances, and Dow, Briony
- Published
- 2022
97. Intergenerational transfer, parental support and housing: a literature review
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Wang, Xueqi and Squires, Graham
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- 2024
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98. HRTF Upsampling With a Generative Adversarial Network Using a Gnomonic Equiangular Projection.
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Aidan O. T. Hogg, Mads Jenkins, He Liu, Isaac Squires, Samuel J. Cooper, and Lorenzo Picinali
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- 2024
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99. Revision of northeast Pacific Paleogene cypraeoidean gastropods (Mollusca), including recognition of three new species: Implications for paleobiogeographic distribution and faunal turnover
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Groves, Lindsey and Squires, Richard L.
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Paleocene ,Eocene ,cypraeids ,eocypraeids ,faunal changes - Abstract
The Paleogene cypraeoidean fauna of the northeast Pacific region (NEP), extending from Vancouver Island, British Columbia, Canada southward to Baja California Sur, México, consists of 12 genera, 20 named species (three of which are new), six open-nomenclature species, one Cypraeidae, indeterminate to genus and species, one cf. species, and four nomina dubia. All taxa are figured here. Species reassigned at the genus level are Protocypraea? simiensis (Nelson, 1925) and Luponovula maniobraensis (Squires and Advocate, 1986). Improved documentation of known NEP species include Propustularia kemperae (Nelson, 1925), Grovesia castacensis (Stewart, 1926) [1927]), G. mathewsonii (Gabb, 1864), and Eratotrivia crescentensis (Weaver and Palmer, 1922). The three new species, Subepona leahae, Bernaya kaylinae, and Eocypraea judithsmithae are from the upper lower Eocene Llajas Formation of Simi Valley, Ventura County and Devil Canyon, Los Angeles County, California. Six open-nomenclature species need better preserved material; they are: Bernaya sp., two Protocypraea? sp., Gisortia sp., Eocypraea sp., and Cypraedia sp., as does an indeterminate cypraeid from the Lodo Formation of central California. Nomina dubia are “Bernaya” fresnoensis (Anderson, 1905), “Eocypraea” bayerquei (Gabb, 1864), “Sphaerocypraea” martini (Dickerson, 1914), and “Sulcocypraea” oakvillensis (Van Winkle, 1918). Eratotrivia mackini (Durham, 1944) is herein reassigned to the synonymy of Grovesia mathewsonii (Gabb, 1869). The NEP Paleocene cypraeoidean fauna consists of four genera, a cypraeid of unknown generic affinity, and two nomina dubia. The early Eocene “Capay Stage” cypraeoidean fauna is comprised of eight genera and two nomina dubia. That was during the peak of NEP cypraeoidean biodiversity, which coincided with the “Early Eocene Climate Optimum” (EECO), the warmest time of the Paleogene. At the end of “Capay” time, biodiversity abruptly decreased, and this trend continued to the end of “Domengine Stage” time, when a faunal turnover took place. The cypraeoidean faunas in the subsequent “Tejon Stage” and Galvinian Stage continued to be diminished because of the ongoing cooling of the ocean waters. Continued global cooling eventually caused the disappearance of the thermophilic Paleogene NEP cypraeoideans before the beginning of the Oligocene. Most of the NEP cypraeoidean fauna is very similar morphologically to species found in the Tethys region of Europe, especially France, Italy, and Ukraine. These similar species are indicative that the introduction of most of the NEP cyraeoidean genera into the NEP region was via a westward-directed, warm-water current originating in the ancient Tethys Sea region of western Europe. The point of origin of the Paleocene Propustularia is unknown, and the late Eocene Nuceolaria most likely arrived in the NEP region via a Pacific Ocean route.
- Published
- 2023
100. Influence of Body Mass Index on the Evaluation and Management of Pediatric Abdominal Pain in the Emergency Department
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Theiler, Carly A., Swanson, Morgan Bobb, Squires, Ryan, and Harland, Karisa K.
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Pediatric ,Abdominal Pain ,Body Mass Index ,BMI ,Emergency ,PEM - Abstract
Introduction: Childhood obesity is a serious concern in the United States, with over one third of the pediatric population classified as obese. Abdominal pain is one of the most common chief complaints among pediatric emergency department (ED) visits. We hypothesized that overweight and obese children being evaluated in the ED for abdominal pain would have higher resource utilization than their normal and underweight peers.Methods: This was a retrospective review of pediatric patients
- Published
- 2023
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