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12,732 results on '"Clare M"'

304. The association between sibling ambivalence and well-being in older adulthood: The role of sibling gender composition.

Author

Lee, Jeenkyoung, Gilligan, Megan, Neppl, Tricia K., Stocker, Clare M., and Conger, Katherine J.

Abstract

Family scholarship has documented negative associations between ambivalence and well-being in the context of parent-adult child relationships. As sibling ties remain salient throughout later life, ambivalence experienced in sibling relationships might also be related to older adult well-being. The purpose of this study was to examine the associations between sibling ambivalence and both psychological and physical well-being of older adults, as well as differences in these links by sibling gender composition. Data came from 702 older adults (392 women) who were 64.58 years old on average (SD = 4.51). Structural equation modeling using FIML revealed that participants who felt more ambivalence toward their siblings reported poorer psychological well-being. However, a multiple group analysis showed that this association was only significant for brother-brother pairs. Findings suggest the need to further investigate the implication of sibling ambivalence for psychological well-being in later life, especially for brothers. [ABSTRACT FROM AUTHOR]

Published
2025
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305. Utilizing Martian samples for future planetary exploration--Characterizing hazards and resources.

Author

Whetsel, Charles, Levine, Joel S., Hoffman, Stephen J., Luckey, Clare M., Watts, Kevin D., and Antonsen, Erik L.

Abstract

One of the most surprising and important findings of the first human landings on the Moon was the discovery of a very fine layer of lunar dust covering the entire surface of Moon along with the negative impacts of this dust on the well-being and operational effectiveness of the astronauts, their equipment, and instrumentation. The United States is now planning for human missions to Mars, a planet where dust can also be expected to be ubiquitous for many or most landing sites. For these missions, the design and operations of key hardware systems must take this dust into account, especially when related to crew health and safety. Improved understanding of Martian dust characteristics can inform its potential to also perform transport of microorganisms, both those inadvertently brought to Mars by the astronauts, or, if Martian microorganisms exist, the potential for their inadvertent return to Earth with the astronauts. Careful planning and design are needed to assure that future missions do not violate the United Nations Outer Space Treaty (1967) signed by all spacefaring nations. In this paper, we review the impact of lunar dust on the Apollo missions and identify several questions about dust in the atmosphere of Mars that may be answered by the curated samples that would be returned by the planned Mars Sample Return (MSR) Campaign. These answers would not only provide an opportunity to better understand the history of Mars but could also reduce uncertainty in charting the future of humanity's exploration of the planet. [ABSTRACT FROM AUTHOR]

Published
2025
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306. Mechanistic modelling of allergen-induced airways disease in early life.

Author

Pybus, Hannah J., Dangarh, Prakrati, Ng, Man Yin Melanie, Lloyd, Clare M., Saglani, Sejal, and Tanaka, Reiko J.

Subjects
HOUSE dust mites, MEDICAL sciences, ASTHMA in children, LUNGS, ALLERGENS, ASTHMA
Abstract

Asthma affects approximately 300 million individuals worldwide and the onset predominantly arises in childhood. Children are exposed to multiple environmental irritants, such as viruses and allergens, that are common triggers for asthma onset, whilst their immune systems are developing in early life. Understanding the impact of allergen exposures on the developing immune system and resulting alterations in lung function in early life will help prevent the onset and progression of allergic asthma in children. In this study, we developed an in silico model describing the pulmonary immune response to a common allergen, house dust mite, to investigate its downstream impact on the pathophysiology of asthma, including airway eosinophilic inflammation, remodelling, and lung function. We hypothesised that altered epithelial function following allergen exposure determines the onset of airway remodelling and abnormal lung function, which are irreversible with current asthma therapies. We calibrated the in silico model using age appropriate in vivo data from neonatal and adult mice. We validated the in silico model using in vivo data from mice on the effects of current treatment strategies. The in silico model recapitulates experimental observations and provides an interpretable in silico tool to assess airway pathology and the underlying immune responses upon allergen exposure. The in silico model simulations predict the extent of bronchial epithelial barrier damage observed when allergen sensitisation occurs and demonstrate that epithelial barrier damage and impaired immune maturation are critical determinants of reduced lung function and asthma development. The in silico model demonstrates that both epithelial barrier repair and immune maturation are potential targets for therapeutic intervention to achieve successful asthma prevention. [ABSTRACT FROM AUTHOR]

Published
2025
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307. Tracheal Ultrasound for Diagnosis of Tracheal Cartilaginous Sleeve in Patients with Syndromic Craniosynostosis.

Author

Richardson, Clare M., Lam, Austin S., Nicholas, Grace E., Wang, Xing, Sie, Kathleen C., Perkins, Jonathan A., Cunningham, Michael L., Romberg, Erin K., Menashe, Sarah, Tang, Elizabeth, Otjen, Jeffrey P., and Dahl, John P.

Abstract

Objective: The aim of this study was to assess the utility of ultrasound (US) imaging for diagnosis of abnormal tracheal morphology, such as tracheal cartilaginous sleeves (TCS), in patients with syndromic craniosynostosis (SC). Study Design: Age‐matched cohort study. Setting: Tertiary pediatric hospital. Methods: Two age‐matched cohorts were identified: patients with SC and known TCS based upon airway endoscopy and normal controls without tracheal pathology. Enrolled patients underwent awake US of the neck which were randomized and reviewed by blinded pediatric radiologists and rated on presence or absence of normal tracheal cartilage morphology and visualization or nonvisualization of a tracheostomy tube. Fisher's exact test was used to assess pooled data. Fleiss' Kappa (κ) was calculated to assess inter‐rater reliability. Results: Ten patients were included in each cohort. Control patients were gender and age‐matched to TCS patients with a mean difference of 3.7 months (±3.9 months). Across all raters, cartilage type was correctly identified in 93% (95% confidence interval [CI]: 84%‐98%) and tracheostomy visualization in 97% (95% CI: 89%‐99%). The sensitivity and specificity for detection of abnormal cartilage pathology was 87% and 100%, respectively. Inter‐rater reliability for cartilage assessment was κ = 0.88 (95% CI: 0.67‐1.00, P <.05) and 0.83 (95% CI: 0.58‐1.00, P <.05) for tracheostomy presence. Conclusion: This study demonstrated that tracheal US is a feasible, accurate screening tool for TCS, and can be successfully performed non‐sedated in patients up to 18 years of age, both with and without tracheostomy tubes in place. [ABSTRACT FROM AUTHOR]

Published
2025
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308. The Discovery of a Gravitationally Lensed Supernova Ia at Redshift 2.22

Author

Rubin, David, Hayden, Brian, Huang, Xiaosheng, Aldering, Greg, Amanullah, Rahman, Barbary, Kyle, Boone, Kyle, Brodwin, Mark, Deustua, Susana E., Dixon, Sam, Eisenhardt, Peter, Fruchter, Andrew S., Gonzalez, Anthony H., Goobar, Ariel, Gupta, Ravi R., Hook, Isobel, Jee, M. James, Kim, Alex G., Kowalski, Marek, Lidman, Chris E., Linder, Eric, Luther, Kyle, Nordin, Jakob, Pain, Reynald, Perlmutter, Saul, Raha, Zachary, Rigault, Mickael, Ruiz-Lapuente, Pilar, Saunders, Clare M., Sofiatti, Caroline, Spadafora, Anthony L., Stanford, S. Adam, Stern, Daniel, Suzuki, Nao, and Williams, Steven C.

Subjects
Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We present the discovery and measurements of a gravitationally lensed supernova (SN) behind the galaxy cluster MOO J1014+0038. Based on multi-band Hubble Space Telescope and Very Large Telescope (VLT) photometry of the supernova, and VLT spectroscopy of the host galaxy, we find a 97.5% probability that this SN is a SN Ia, and a 2.5% chance of a CC SN. Our typing algorithm combines the shape and color of the light curve with the expected rates of each SN type in the host galaxy. With a redshift of 2.2216, this is the highest redshift SN Ia discovered with a spectroscopic host-galaxy redshift. A further distinguishing feature is that the lensing cluster, at redshift 1.23, is the most distant to date to have an amplified SN. The SN lies in the middle of the color and light-curve shape distributions found at lower redshift, disfavoring strong evolution to z = 2.22. We estimate an amplification due to gravitational lensing of 2.8+0.6-0.5 (1.10 +- 0.23 mag)---compatible with the value estimated from the weak-lensing-derived mass and the mass-concentration relation from LambdaCDM simulations---making it the most amplified SN Ia discovered behind a galaxy cluster., Comment: Accepted for publication in ApJ

Published
2017
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309. Parent Engagement in Child-Focused Interventions: A Systematised Review of Qualitative Allied Health Literature.

Author

Burney, Victoria, McCann, Clare M., and Arnold-Saritepe, Angela

Subjects
*PARENTS, *MEDICAL information storage & retrieval systems, *PATIENTS' families, *QUALITATIVE research, *MEDICAL personnel, *CINAHL database, *SOCIAL factors, *FAMILIES, *ALLIED health personnel, *MEDLINE, *THEMATIC analysis, *CHILD care, *INTERPERSONAL relations, *PATIENT participation, *MEDICAL practice, *PSYCHOLOGY information storage & retrieval systems
Abstract

Background: Parent engagement in child-focused interventions is increasingly recognised as an important aspect of effective intervention delivery. While several fields have an emerging literature around parent engagement, no reviews currently exist which combine findings across allied health literatures. Objective: This review aimed to explore factors relevant to understanding parent engagement in child-focused interventions, as described in qualitative literature across allied health disciplines, toward informing the clinical practice of helping professionals in effectively engaging parents. Methods: A systematised qualitative literature review was carried out, with a comprehensive search of five online databases (CINAHL, Embase, MEDLINE, PsycINFO, Scopus) for allied health literature (specifically: behaviour analysis, occupational therapy, psychology, and speech-language therapy) using parent engagement key words. Reference searching and citation tracking steps supported the search. Thematic synthesis was used as the overarching framework and analysis approach. Results: 8824 unique studies were generated in the search. Of the 71 studies which met inclusion criteria, 38 reported qualitative findings and were included in the analysis. Five themes were identified including: societal context, interpersonal context, clinician features, family features, and relationship as engagement. Conclusions: Findings support conceptual explanations of parent engagement as a complex and dynamic process, emphasising the joint contributions of parents and clinicians in developing therapeutic relationships which promote engagement. Across allied health research there are consistency of understandings around parent engagement, supporting the conclusion that clinicians can look to literatures from various helping fields to inform clinical practice around engaging parents in interventions. [ABSTRACT FROM AUTHOR]

Published
2024
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310. Characteristics of the Outdoor Environment Affording Physical Activity, Motor Competence, and Social Interactions in Children Aged 3–7 Years: A Systematic Review.

Author

Taylor, Nicola, Pringle, Andy, and Roscoe, Clare M. P.

Subjects
NATURE & psychology, MOTOR ability, PLAY, EARLY intervention (Education), SYSTEMATIC reviews, GAMES, MEDLINE, INTERPERSONAL relations, ONLINE information services, PHYSICAL activity, CHILD behavior, COOPERATIVENESS, PSYCHOLOGY information storage & retrieval systems, CHILDREN
Abstract

Early childhood education (ECE) settings play a crucial role in promoting physical and social development among children aged 3–7 years. This systematic review sought to examine the associations between characteristics of ECE outdoor environments, social interactions, physical activity, and motor competence. The secondary aim examines previously applied methods to capture children's behaviour in the context of their social and physical environment. Methods: This review used the PRISMA framework and study quality was assessed using the mixed-methods appraisal tool (MMAT). Keyword searches were conducted in seven databases. Studies were eligible if children were aged 3–7 years in ECE; physical activity, social interactions and/or motor competence were measured; location and/or social context were measured. Results were synthesised using an effect direct plot, a table of associations, and narrative synthesis. Results: Twenty-three studies from eight countries met the inclusion criteria. Intervention and controlled cross-sectional studies (n = 9) favoured high-quality outdoor environments rich in affordances, portable play equipment, and natural features to increase children's physical activity, social interactions, and cooperative play. Cross-sectional and descriptive studies (n = 14) positively associated open grassy space, portable and fixed equipment, wheeled toys, and paths with physical activity (p < 0.05). Based on limited evidence, playground size and active games in small groups were associated with greater MC. Conclusions: The findings highlight the benefit of creating diverse affordance rich outdoor environments in early childhood settings to promote physical and social development. Limitations include variability in study designs and protocols for conducting systematic observations, thus emphasising the need for standardised approaches to future research. [ABSTRACT FROM AUTHOR]

Published
2024
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312. Aboriginal and Torres Strait Islander women's views of cervical screening by self?collection: a qualitative study

Author

Whop, Lisa J., Butler, Tamara L., Lee, Natasha, Cunningham, Joan, Garvey, Gail, Anderson, Kate, Condon, John R., Tong, Allison, Moore, Suzanne, Maher, Clare M., Mein, Jacqueline K., Warren, Eloise F., and Brotherton, Julia M.L.

Subjects
Australian aborigines -- Beliefs, opinions and attitudes -- Health aspects, Cancer -- Diagnosis, Cervical cancer -- Diagnosis, Health
Abstract

: Objective: This study aimed to describe Aboriginal and Torres Strait Islander women's views of self?collection introduced in the renewed National Cervical Screening Program. Methods: A total of 79 Aboriginal and/or Torres Strait Islander women (50 screened in previous five years, 29 under?screened) from five clinics across three Australian states/territories participated. Topics discussed were perceptions of self?collection, the instruction card and suggestions for implementing self?collection. We employed yarning (a qualitative method), which established relationships and trust between participants and researchers to facilitate culturally safe conversations. Transcripts were analysed thematically. Results: Most women were unaware of self?collection before the yarn but found it to be an acceptable way to participate in cervical screening. Women perceived self?collection would be convenient, provide a sense of control over the screening experience, and maintain privacy and comfort. The instructions were perceived to be simple and easy to follow. Women had concerns about collecting the sample correctly and the accuracy of the sample (compared to clinician?collected samples). Conclusions: Self?collection is acceptable to Aboriginal and Torres Strait Islander women. Implications for public health: Given the inequitable burden of cervical cancer experienced by Aboriginal and Torres Strait Islander women, self?collection is likely to significantly improve participation and ultimately improve cervical cancer outcomes., Incidence and mortality rates from cervical cancer are two and four times higher, respectively, for Aboriginal and Torres Strait Islander women compared with non?Indigenous women, despite a nationally organised cervical [...]

Published
2022
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315. Immuno-proteomic profiling reveals aberrant immune cell regulation in the airways of individuals with ongoing post-COVID-19 respiratory disease

Author

Vijayakumar, Bavithra, Boustani, Karim, Ogger, Patricia P., Papadaki, Artemis, Tonkin, James, Orton, Christopher M., Ghai, Poonam, Suveizdyte, Kornelija, Hewitt, Richard J., Desai, Sujal R., Devaraj, Anand, Snelgrove, Robert J., Molyneaux, Philip L., Garner, Justin L., Peters, James E., Shah, Pallav L., Lloyd, Clare M., and Harker, James A.

Published
2022
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316. Author Correction: Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data

Author

Chen, Xi, Wang, Yuan, Cappuccio, Antonio, Cheng, Wan-Sze, Zamojski, Frederique Ruf, Nair, Venugopalan D., Miller, Clare M., Rubenstein, Aliza B., Nudelman, German, Tadych, Alicja, Theesfeld, Chandra L., Vornholt, Alexandria, George, Mary-Catherine, Ruffin, Felicia, Dagher, Michael, Chawla, Daniel G., Soares-Schanoski, Alessandra, Spurbeck, Rachel R., Ndhlovu, Lishomwa C., Sebra, Robert, Kleinstein, Steven H., Letizia, Andrew G., Ramos, Irene, Fowler, Jr, Vance G., Woods, Christopher W., Zaslavsky, Elena, Troyanskaya, Olga G., and Sealfon, Stuart C.

Published
2023
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317. Run, Jump, Throw and Catch: How Proficient Are Children Attending English Schools at the Fundamental Motor Skills Identified as Key within the School Curriculum?

Author

Duncan, Michael J., Roscoe, Clare M. P., Noon, Mark, Clark, Cain C. T., O'Brien, Wesley, and Eyre, Emma L. J.

Abstract

This study examined proficiency levels in fundamental motor skills (FMS) in children within Key Stage 1 and 2 of the English school system. Four hundred and ninety-two children aged 6-9 Years old (245 boys, 247 girls) from school Years Two (n = 130), Three (n = 154) and Four (n = 208) participated in this study. FMS for the run, jump, throw and catch were assessed using the Test of Gross Motor Development -- 2. The proportion of children who achieved mastery or near mastery of the skills was determined. For the whole sample, 18.5% (n = 91) did not achieve mastery in any of the four skills. A similar proportion (18.7%, n = 92) achieved mastery in all four of the FMS examined in this study. The proportion of children achieving mastery of all four skills was lower for Year Two children (0%) compared to children in years Three (24%) and Four (25%). More boys (25.7%) achieved mastery in all four of the FMS compared to girls (11.7%). Individual behavioural components in skill performance were also examined. The results of the present study highlight that less than one-fifth of children aged 6-9 years old have mastered the four key FMS identified by the physical education (PE) curriculum despite having the developmental potential to become fundamentally competent by six years of age. Fostering positive trajectories of FMS development presents a challenge for PE specialists given the association between FMS mastery in childhood and physical activity, weight status and health.

Published
2020
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318. Loss of E-cadherin leads to Id2-dependent inhibition of cell cycle progression in metastatic lobular breast cancer

Author

Rätze, Max A. K., Koorman, Thijs, Sijnesael, Thijmen, Bassey-Archibong, Blessing, van de Ven, Robert, Enserink, Lotte, Visser, Daan, Jaksani, Sridevi, Viciano, Ignacio, Bakker, Elvira R. M., Richard, François, Tutt, Andrew, O’Leary, Lynda, Fitzpatrick, Amanda, Roca-Cusachs, Pere, van Diest, Paul J., Desmedt, Christine, Daniel, Juliet M., Isacke, Clare M., and Derksen, Patrick W. B.

Published
2022
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319. Molecular mechanism of poliovirus Sabin vaccine strain attenuation

Author

Avanzino, Brian C, Jue, Helen, Miller, Clare M, Cheung, Emily, Fuchs, Gabriele, and Fraser, Christopher S

Subjects
Biochemistry and Cell Biology, Biological Sciences, Emerging Infectious Diseases, Genetics, Biodefense, Infectious Diseases, Good Health and Well Being, Animals, Baculoviridae, Base Sequence, Cloning, Molecular, Escherichia coli, Eukaryotic Initiation Factor-4A, Eukaryotic Initiation Factor-4G, Gene Expression, Genes, Reporter, Genetic Vectors, HeLa Cells, Humans, Internal Ribosome Entry Sites, Luciferases, Mutation, Nucleic Acid Conformation, Poliovirus, Poliovirus Vaccine, Oral, Polypyrimidine Tract-Binding Protein, Protein Biosynthesis, Recombinant Proteins, Sequence Alignment, Sf9 Cells, Spodoptera, Vaccines, Attenuated, poliovirus, eukaryotic translation initiation factor 4G, eukaryotic initiation factor 4A, RNA-binding protein, eukaryotic translation initiation, plus-stranded RNA virus, internal ribosome entry site, vaccine, virulence, Hela Cells, Chemical Sciences, Medical and Health Sciences, Biochemistry & Molecular Biology, Biological sciences, Biomedical and clinical sciences, Chemical sciences
Abstract

Recruitment of poliovirus (PV) RNA to the human ribosome requires the coordinated interaction of the viral internal ribosome entry site (IRES) and several host cellular initiation factors and IRES trans-acting factors (ITAFs). Attenuated PV Sabin strains contain point mutations in the PV IRES domain V (dV) that inhibit viral translation. Remarkably, attenuation is most apparent in cells of the central nervous system, but the molecular basis to explain this is poorly understood. The dV contains binding sites for eukaryotic initiation factor 4G (eIF4G) and polypyrimidine tract-binding protein (PTB). Impaired binding of these proteins to the mutant IRESs has been observed, but these effects have not been quantitated. We used a fluorescence anisotropy assay to reveal that the Sabin mutants reduce the equilibrium dissociation constants of eIF4G and PTB to the PV IRES by up to 6-fold. Using the most inhibitory Sabin 3 mutant, we used a real-time fluorescence helicase assay to show that the apparent affinity of an active eIF4G/4A/4B helicase complex for the IRES is reduced by 2.5-fold. The Sabin 3 mutant did not alter the maximum rate of eIF4A-dependent helicase activity, suggesting that this mutant primarily reduces the affinity, rather than activity, of the unwinding complex. To confirm this affinity model of attenuation, we show that eIF4G overexpression in HeLa cells overcomes the attenuation of a Sabin 3 mutant PV-luciferase replicon. Our study provides a quantitative framework for understanding the mechanism of PV Sabin attenuation and provides an explanation for the previously observed cell type-specific translational attenuation.

Published
2018

324. Prospective cohort study reveals unexpected aetiologies of livestock abortion in northern Tanzania

Author

Thomas, Kate M., Kibona, Tito, Claxton, John R., de Glanville, William A., Lankester, Felix, Amani, Nelson, Buza, Joram J., Carter, Ryan W., Chapman, Gail E., Crump, John A., Dagleish, Mark P., Halliday, Jo E. B., Hamilton, Clare M., Innes, Elisabeth A., Katzer, Frank, Livingstone, Morag, Longbottom, David, Millins, Caroline, Mmbaga, Blandina T., Mosha, Victor, Nyarobi, James, Nyasebwa, Obed M., Russell, George C., Sanka, Paul N., Semango, George, Wheelhouse, Nick, Willett, Brian J., Cleaveland, Sarah, and Allan, Kathryn J.

Published
2022
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328. Speculating on Biodesign in the Future Home.

Author

Phillip Gough, Jack Forman, Pat Pataranutaporn, Leigh-Anne Hepburn, Carolina Ramirez Figueroa, Clare M. Cooper, Angela Vujic, David Sun Kong, Raphael Kim, Pattie Maes, Hiroshi Ishii 0001, Misha Sra, and Naseem Ahmadpour

Published
2021
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331. Correction: Loss of E-cadherin leads to Id2-dependent inhibition of cell cycle progression in metastatic lobular breast cancer

Author

Rätze, Max A. K., Koorman, Thijs, Sijnesael, Thijmen, Bassey-Archibong, Blessing, van de Ven, Robert, Enserink, Lotte, Visser, Daan, Jaksani, Sridevi, Viciano, Ignacio, Bakker, Elvira R. M., Richard, François, Tutt, Andrew, O’Leary, Lynda, Fitzpatrick, Amanda, Roca-Cusachs, Pere, van Diest, Paul J., Desmedt, Christine, Daniel, Juliet M., Isacke, Clare M., and Derksen, Patrick W. B.

Published
2022
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332. Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation

Author

Ghafoorian, Mohsen, Mehrtash, Alireza, Kapur, Tina, Karssemeijer, Nico, Marchiori, Elena, Pesteie, Mehran, Guttmann, Charles R. G., de Leeuw, Frank-Erik, Tempany, Clare M., van Ginneken, Bram, Fedorov, Andriy, Abolmaesumi, Purang, Platel, Bram, and Wells III, William M.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Magnetic Resonance Imaging (MRI) is widely used in routine clinical diagnosis and treatment. However, variations in MRI acquisition protocols result in different appearances of normal and diseased tissue in the images. Convolutional neural networks (CNNs), which have shown to be successful in many medical image analysis tasks, are typically sensitive to the variations in imaging protocols. Therefore, in many cases, networks trained on data acquired with one MRI protocol, do not perform satisfactorily on data acquired with different protocols. This limits the use of models trained with large annotated legacy datasets on a new dataset with a different domain which is often a recurring situation in clinical settings. In this study, we aim to answer the following central questions regarding domain adaptation in medical image analysis: Given a fitted legacy model, 1) How much data from the new domain is required for a decent adaptation of the original network?; and, 2) What portion of the pre-trained model parameters should be retrained given a certain number of the new domain training samples? To address these questions, we conducted extensive experiments in white matter hyperintensity segmentation task. We trained a CNN on legacy MR images of brain and evaluated the performance of the domain-adapted network on the same task with images from a different domain. We then compared the performance of the model to the surrogate scenarios where either the same trained network is used or a new network is trained from scratch on the new dataset.The domain-adapted network tuned only by two training examples achieved a Dice score of 0.63 substantially outperforming a similar network trained on the same set of examples from scratch., Comment: 8 pages, 3 figures

Published
2017
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335. Alkaline air : changing perspectives on nitrogen and air pollution in an ammonia-rich world

Author

Sutton, Mark A., van Dijk, Netty, Levy, Peter E., Jones, Matthew R., Leith, Ian D., Sheppard, Lucy J., Leeson, Sarah, Sim Tang, Y., Stephens, Amy, Braban, Christine F., Dragosits, Ulrike, Howard, Clare M., Vieno, Massimo, Fowler, David, Corbett, Paul, Naikoo, Mohd Irfan, Munzi, Silvana, Ellis, Christopher J., Chatterjee, Sudipto, Steadman, Claudia E., Móring, Andrea, and Wolseley, Patricia A.

Published
2020

339. The impact of viral mutations on recognition by SARS-CoV-2 specific T cells

Author

Aanensen, David M., Abudahab, Khalil, Adams, Helen, Adams, Alexander, Afifi, Safiah, Aggarwal, Dinesh, Ahmad, Shazaad S.Y., Aigrain, Louise, Alcolea-Medina, Adela, Alikhan, Nabil-Fareed, Allara, Elias, Amato, Roberto, Annett, Tara, Aplin, Stephen, Ariani, Cristina V., Asad, Hibo, Ash, Amy, Ashfield, Paula, Ashford, Fiona, Atkinson, Laura, Attwood, Stephen W., Auckland, Cressida, Aydin, Alp, Baker, David J., Baker, Paul, Balcazar, Carlos E., Ball, Jonathan, Barrett, Jeffrey C., Barrow, Magdalena, Barton, Edward, Bashton, Matthew, Bassett, Andrew R., Batra, Rahul, Baxter, Chris, Bayzid, Nadua, Beaver, Charlotte, Beckett, Angela H., Beckwith, Shaun M., Bedford, Luke, Beer, Robert, Beggs, Andrew, Bellis, Katherine L., Berry, Louise, Bertolusso, Beatrice, Best, Angus, Betteridge, Emma, Bibby, David, Bicknell, Kelly, Binns, Debbie, Birchley, Alec, Bird, Paul W., Bishop, Chloe, Blacow, Rachel, Blakey, Victoria, Blane, Beth, Bolt, Frances, Bonfield, James, Bonner, Stephen, Bonsall, David, Boswell, Tim, Bosworth, Andrew, Bourgeois, Yann, Boyd, Olivia, Bradley, Declan T., Breen, Cassie, Bresner, Catherine, Breuer, Judith, Bridgett, Stephen, Bronner, Iraad F., Brooks, Ellena, Broos, Alice, Brown, Julianne R., Bucca, Giselda, Buchan, Sarah L., Buck, David, Bull, Matthew, Burns, Phillipa J., Burton-Fanning, Shirelle, Byaruhanga, Timothy, Byott, Matthew, Campbell, Sharon, Carabelli, Alessandro M., Cargill, James S., Carlile, Matthew, Carvalho, Silvia F., Casey, Anna, Castigador, Anibolina, Catalan, Jana, Chalker, Vicki, Chaloner, Nicola J., Chand, Meera, Chappell, Joseph G., Charalampous, Themoula, Chatterton, Wendy, Chaudhry, Yasmin, Churcher, Carol M., Clark, Gemma, Clarke, Phillip, Cogger, Benjamin J., Cole, Kevin, Collins, Jennifer, Colquhoun, Rachel, Connor, Thomas R., Cook, Kate F., Coombes, Jason, Corden, Sally, Cormie, Claire, Cortes, Nicholas, Cotic, Marius, Cotton, Seb, Cottrell, Simon, Coupland, Lindsay, Cox, MacGregor, Cox, Alison, Craine, Noel, Crawford, Liam, Cross, Aidan, Crown, Matthew R., Crudgington, Dorian, Cumley, Nicola, Curran, Tanya, Curran, Martin D., da Silva Filipe, Ana, Dabrera, Gavin, Darby, Alistair C., Davidson, Rose K., Davies, Alisha, Davies, Robert M., Davis, Thomas, de Angelis, Daniela, De Lacy, Elen, de Oliveira Martins, Leonardo, Debebe, Johnny, Denton-Smith, Rebecca, Dervisevic, Samir, Dewar, Rebecca, Dey, Jayasree, Dias, Joana, Dobie, Donald, Dorman, Matthew J., Downing, Fatima, Driscoll, Megan, du Plessis, Louis, Duckworth, Nichola, Durham, Jillian, Eastick, Kirstine, Easton, Lisa J., Eccles, Richard, Edgeworth, Jonathan, Edwards, Sue, El Bouzidi, Kate, Eldirdiri, Sahar, Ellaby, Nicholas, Elliott, Scott, Eltringham, Gary, Ensell, Leah, Erkiert, Michelle J., Zamudio, Marina Escalera, Essex, Sarah, Evans, Johnathan M., Evans, Cariad, Everson, William, Fairley, Derek J., Fallon, Karlie, Fanaie, Arezou, Farr, Ben W., Fearn, Christopher, Feltwell, Theresa, Ferguson, Lynne, Fina, Laia, Flaviani, Flavia, Fleming, Vicki M., Forrest, Sally, Foster-Nyarko, Ebenezer, Foulkes, Benjamin H., Foulser, Luke, Fragakis, Mireille, Frampton, Dan, Francois, Sarah, Fraser, Christophe, Freeman, Timothy M., Fryer, Helen, Fuchs, Marc, Fuller, William, Gajee, Kavitha, Galai, Katerina, Gallagher, Abbie, Gallagher, Eileen, Gallagher, Michael D., Gallis, Marta, Gaskin, Amy, Gatica-Wilcox, Bree, Geidelberg, Lily, Gemmell, Matthew, Georgana, Iliana, George, Ryan P., Gifford, Laura, Gilbert, Lauren, Girgis, Sophia T., Glaysher, Sharon, Goldstein, Emily J., Golubchik, Tanya, Gomes, Andrea N., Gonçalves, Sónia, Goodfellow, Ian G., Goodwin, Scott, Goudarzi, Salman, Gourtovaia, Marina, Graham, Clive, Graham, Lee, Grant, Paul R., Green, Luke R., Green, Angie, Greenaway, Jane, Gregory, Richard, Guest, Martyn, Gunson, Rory N., Gupta, Ravi K., Gutierrez, Bernardo, Haldenby, Sam T., Hamilton, William L., Hansford, Samantha E., Haque, Tanzina, Harris, Kathryn A., Harrison, Ian, Harrison, Ewan M., Hart, Jennifer, Hartley, John A., Harvey, William T., Harvey, Matthew, Hassan-Ibrahim, Mohammed O., Heaney, Judith, Helmer, Thomas, Henderson, John H., Hesketh, Andrew R., Hey, Jessica, Heyburn, David, Higginson, Ellen E., Hill, Verity, Hill, Jack D., Hilson, Rachel A., Hilvers, Ember, Holden, Matthew T.G., Hollis, Amy, Holmes, Christopher W., Holmes, Nadine, Holmes, Alison H., Hopes, Richard, Hornsby, Hailey R., Hosmillo, Myra, Houlihan, Catherine, Howson-Wells, Hannah C., Hubb, Jonathan, Huckson, Hannah, Hughes, Warwick, Hughes, Joseph, Hughes, Margaret, Hutchings, Stephanie, Idle, Giles, Illingworth, Chris J., Impey, Robert, Irish-Tavares, Dianne, Iturriza-Gomara, Miren, Izuagbe, Rhys, Jackson, Chris, Jackson, Ben, Jackson, Leigh M., Jackson, Kathryn A., Jackson, David K., Jahun, Aminu S., James, Victoria, James, Keith, Jeanes, Christopher, Jeffries, Aaron R., Jeremiah, Sarah, Jermy, Andrew, John, Michaela, Johnson, Rob, Johnson, Kate, Johnston, Ian, Jones, Owen, Jones, Sophie, Jones, Hannah, Jones, Christopher R., Jones, Neil, Joseph, Amelia, Judges, Sarah, Kay, Gemma L., Kay, Sally, Keatley, Jon-Paul, Keeley, Alexander J., Kenyon, Anita, Kermack, Leanne M., Khakh, Manjinder, Kidd, Stephen P., Kimuli, Maimuna, Kirk, Stuart, Kitchen, Christine, Kitchman, Katie, Knight, Bridget A., Koshy, Cherian, Kraemer, Moritz U.G., Kumziene-Summerhayes, Sara, Kwiatkowski, Dominic, Lackenby, Angie, Laing, Kenneth G., Lampejo, Temi, Langford, Cordelia F., Lavin, Deborah, Lawton, Andrew I., Lee, Jack, Lee, David, Lensing, Stefanie V., Leonard, Steven, Levett, Lisa J., Le-Viet, Thanh, Lewis, Jonathan, Lewis, Kevin, Liddle, Jennifier, Liggett, Steven, Lillie, Patrick J., Lister, Michelle M., Livett, Rich, Lo, Stephanie, Loman, Nicholas J., Loose, Matthew W., Louka, Stavroula F., Loveson, Katie F., Lowdon, Sarah, Lowe, Hannah, Lowe, Helen L., Lucaci, Anita O., Ludden, Catherine, Lynch, Jessica, Lyons, Ronan A., Lythgoe, Katrina, Machin, Nicholas W., MacIntyre-Cockett, George, Mack, Andrew, Macklin, Ben, Maclean, Alasdair, Macnaughton, Emily, Madona, Pinglawathee, Maes, Mailis, Maftei, Laurentiu, Mahanama, Adhyana I.K., Mahungu, Tabitha W., Mair, Daniel, Maksimovic, Joshua, Malone, Cassandra S., Maloney, Daniel, Manesis, Nikos, Manley, Robin, Mantzouratou, Anna, Marchbank, Angela, Mariappan, Arun, Martincorena, Inigo, Martinez Nunez, Rocio T., Mather, Alison E., Maxwell, Patrick, Mayhew, Megan, Mbisa, Tamyo, McCann, Clare M., McCarthy, Shane A., McCluggage, Kathryn, McClure, Patrick C., McCrone, J.T., McHugh, Martin P., McKenna, James P., McKerr, Caoimhe, McManus, Georgina M., McMurray, Claire L., McMurray, Claire, McNally, Alan, Meadows, Lizzie, Medd, Nathan, Megram, Oliver, Menegazzo, Mirko, Merrick, Ian, Michell, Stephen L., Michelsen, Michelle L., Mirfenderesky, Mariyam, Mirza, Jeremy, Miskelly, Julia, Moles-Garcia, Emma, Moll, Robin J., Molnar, Zoltan, Monahan, Irene M., Mondani, Matteo, Mookerjee, Siddharth, Moore, Christopher, Moore, Jonathan, Moore, Nathan, Moore, Catherine, Morcrette, Helen, Morgan, Sian, Morgan, Mari, Mori, Matilde, Morriss, Arthur, Moses, Samuel, Mower, Craig, Muir, Peter, Mukaddas, Afrida, Munemo, Florence, Munn, Robert, Murray, Abigail, Murray, Leanne J., Murray, Darren R., Mutingwende, Manasa, Myers, Richard, Nastouli, Eleni, Nebbia, Gaia, Nelson, Andrew, Nelson, Charlotte, Nicholls, Sam, Nichols, Jenna, Nicodemi, Roberto, Nomikou, Kyriaki, O’Grady, Justin, O'Brien, Sarah, Odedra, Mina, Ohemeng-Kumi, Natasha, Oliver, Karen, Orton, Richard J., Osman, Husam, xeine O'Toole, Pacchiarini, Nicole, Padgett, Debra, Page, Andrew J., Park, Emily J., Park, Naomi R., Parmar, Surendra, Partridge, David G., Pascall, David, Patel, Amita, Patel, Bindi, Paterson, Steve, Payne, Brendan A.I., Peacock, Sharon J., Pearson, Clare, Pelosi, Emanuela, Percival, Benita, Perkins, Jon, Perry, Malorie, Pinckert, Malte L., Platt, Steven, Podplomyk, Olga, Pohare, Manoj, Pond, Marcus, Pope, Cassie F., Poplawski, Radoslaw, Powell, Jessica, Poyner, Jennifer, Prestwood, Liam, Price, Anna, Price, James R., Prieto, Jacqui A., Pritchard, David T., Prosolek, Sophie J., Pugh, Georgia, Pusok, Monika, Pybus, Oliver G., Pymont, Hannah M., Quail, Michael A., Quick, Joshua, Radulescu, Clara, Raghwani, Jayna, Ragonnet-Cronin, Manon, Rainbow, Lucille, Rajan, Diana, Rajatileka, Shavanthi, Ramadan, Newara A., Rambaut, Andrew, Ramble, John, Randell, Paul A., Randell, Paul, Ratcliffe, Liz, Raviprakash, Veena, Raza, Mohammad, Redshaw, Nicholas M., Rey, Sara, Reynolds, Nicola, Richter, Alex, Robertson, David L., Robinson, Esther, Robson, Samuel C., Rogan, Fiona, Rooke, Stefan, Rowe, Will, Roy, Sunando, Rudder, Steven, Ruis, Chris, Rushton, Steven, Ryan, Felicity, Saeed, Kordo, Samaraweera, Buddhini, Sambles, Christine M., Sanderson, Roy, Sanderson, Theo, Sang, Fei, Sass, Thea, Scher, Emily, Scott, Garren, Scott, Carol, Sehmi, Jasveen, Shaaban, Sharif, Shah, Divya, Shaw, Jessica, Shelest, Ekaterina, Shepherd, James G., Sheridan, Liz A., Sheriff, Nicola, Shirley, Lesley, Sillitoe, John, Silviera, Siona, Simpson, David A., Singh, Aditi, Singleton, Dawn, Skvortsov, Timofey, Sloan, Tim J., Sluga, Graciela, Smith, Ken, Smith, Kim S., Smith, Perminder, Smith, Darren L., Smith, Louise, Smith, Colin P., Smith, Nikki, Smollett, Katherine L., Snell, Luke B., Somassa, Thomas, Southgate, Joel, Spellman, Karla, Spencer Chapman, Michael H., Spurgin, Lewis G., Spyer, Moira J., Stanley, Rachael, Stanley, William, Stanton, Thomas D., Starinskij, Igor, Stockton, Joanne, Stonehouse, Susanne, Storey, Nathaniel, Studholme, David J., Sudhanva, Malur, Swindells, Emma, Taha, Yusri, Tan, Ngee Keong, Tang, Julian W., Tang, Miao, Taylor, Ben E.W., Taylor, Joshua F., Taylor, Sarah, Temperton, Ben, Templeton, Kate E., Thomas, Claire, Thomson, Laura, Thomson, Emma C., Thornton, Alicia, Thurston, Scott A.J., Todd, John A., Tomb, Rachael, Tong, Lily, Tonkin-Hill, Gerry, Torok, M. Estee, Tovar-Corona, Jaime M., Trebes, Amy, Trotter, Alexander J., Tsatsani, Ioulia, Turnbull, Robyn, Twohig, Katherine A., Umpleby, Helen, Underwood, Anthony P., Vamos, Edith E., Vasylyeva, Tetyana I., Vattipally, Sreenu, Vernet, Gabrielle, Vipond, Barry B., Volz, Erik M., Walsh, Sarah, Wang, Dennis, Warne, Ben, Warwick-Dugdale, Joanna, Wastnedge, Elizabeth, Watkins, Joanne, Watson, Louisa K., Waugh, Sheila, Webster, Hermione J., Weldon, Danni, Westwick, Elaine, Whalley, Thomas, Wheeler, Helen, Whitehead, Mark, Whiteley, Max, Whitwham, Andrew, Wierzbicki, Claudia, Willford, Nicholas J., Williams, Lesley-Anne, Williams, Rebecca, Williams, Cheryl, Williams, Chris, Williams, Charlotte A., Williams, Rachel J., Williams, Thomas, Williams, Catryn, Williamson, Kathleen A., Wilson-Davies, Eleri, Witele, Eric, Withell, Karen T., Witney, Adam A., Wolverson, Paige, Wong, Nick, Workman, Trudy, Wright, Victoria, Wright, Derek W., Wyatt, Tim, Wyllie, Sarah, Xu-McCrae, Li, Yavus, Mehmet, Yaze, Geraldine, Yeats, Corin A., Yebra, Gonzalo, Yew, Wen C., Young, Gregory R., Young, Jamie, Zarebski, Alex E., Zhang, Peijun, Baillie, J. Kenneth, Semple, Malcolm G., Openshaw, Peter J.M., Carson, Gail, Alex, Beatrice, Andrikopoulos, Petros, Bach, Benjamin, Barclay, Wendy S., Bogaert, Debby, Chechi, Kanta, Cooke, Graham S., Docherty, Annemarie B., Correia, Gonçalo dos Santos, Dumas, Marc-Emmanuel, Dunning, Jake, Fletcher, Tom, Green, Christopher A., Greenhalf, William, Griffin, Julian L., Gupta, Rishi K., Harrison, Ewen M., Hiscox, Julian A., Wai Ho, Antonia Ying, Horby, Peter W., Ijaz, Samreen, Khoo, Saye, Klenerman, Paul, Law, Andrew, Lewis, Matthew R., Liggi, Sonia, Lim, Wei Shen, Maslen, Lynn, Mentzer, Alexander J., Merson, Laura, Meynert, Alison M., Noursadeghi, Mahdad, Olanipekun, Michael, Osagie, Anthonia, Palmarini, Massimo, Palmieri, Carlo, Paxton, William A., Pollakis, Georgios, Price, Nicholas, Russell, Clark D., Sancho-Shimizu, Vanessa, Sands, Caroline J., Scott, Janet T., Sigfrid, Louise, Solomon, Tom, Sriskandan, Shiranee, Stuart, David, Summers, Charlotte, Swann, Olivia V., Takats, Zoltan, Takis, Panteleimon, Tedder, Richard S., Thompson, A.A. Roger, Thwaites, Ryan S., Zambon, Maria, Hardwick, Hayley, Donohue, Chloe, Griffiths, Fiona, Oosthuyzen, Wilna, Donegan, Cara, Spencer, Rebecca G., Dalton, Jo, Girvan, Michelle, Saviciute, Egle, Roberts, Stephanie, Harrison, Janet, Marsh, Laura, Connor, Marie, Halpin, Sophie, Jackson, Clare, Gamble, Carrol, Plotkin, Daniel, Lee, James, Leeming, Gary, Wham, Murray, Clohisey, Sara, Hendry, Ross, Scott-Brown, James, Shaw, Victoria, McDonald, Sarah E., Keating, Seán, Ahmed, Katie A., Armstrong, Jane A., Ashworth, Milton, Asiimwe, Innocent G., Bakshi, Siddharth, Barlow, Samantha L., Booth, Laura, Brennan, Benjamin, Bullock, Katie, Catterall, Benjamin W.A., Clark, Jordan J., Clarke, Emily A., Cole, Sarah, Cooper, Louise, Cox, Helen, Davis, Christopher, Dincarslan, Oslem, Dunn, Chris, Dyer, Philip, Elliott, Angela, Evans, Anthony, Finch, Lorna, Fisher, Lewis W.S., Foster, Terry, Garcia-Dorival, Isabel, Gunning, Philip, Hartley, Catherine, Jensen, Rebecca L., Jones, Christopher B., Jones, Trevor R., Khandaker, Shadia, King, Katharine, Kiy, Robyn T., Koukorava, Chrysa, Lake, Annette, Lant, Suzannah, Latawiec, Diane, Lavelle-Langham, Lara, Lefteri, Daniella, Lett, Lauren, Livoti, Lucia A., Mancini, Maria, McDonald, Sarah, McEvoy, Laurence, McLauchlan, John, Metelmann, Soeren, Miah, Nahida S., Middleton, Joanna, Mitchell, Joyce, Moore, Shona C., Murphy, Ellen G., Penrice-Randal, Rebekah, Pilgrim, Jack, Prince, Tessa, Reynolds, Will, Ridley, P. Matthew, Sales, Debby, Shaw, Victoria E., Shears, Rebecca K., Small, Benjamin, Subramaniam, Krishanthi S., Szemiel, Agnieska, Taggart, Aislynn, Tanianis-Hughes, Jolanta, Thomas, Jordan, Trochu, Erwan, van Tonder, Libby, Wilcock, Eve, Zhang, J. Eunice, Flaherty, Lisa, Maziere, Nicole, Cass, Emily, Carracedo, Alejandra Doce, Carlucci, Nicola, Holmes, Anthony, Massey, Hannah, Murphy, Lee, Wrobel, Nicola, McCafferty, Sarah, Morrice, Kirstie, MacLean, Alan, Adeniji, Kayode, Agranoff, Daniel, Agwuh, Ken, Ail, Dhiraj, Aldera, Erin L., Alegria, Ana, Allen, Sam, Angus, Brian, Ashish, Abdul, Atkinson, Dougal, Bari, Shahedal, Barlow, Gavin, Barnass, Stella, Barrett, Nicholas, Bassford, Christopher, Basude, Sneha, Baxter, David, Beadsworth, Michael, Bernatoniene, Jolanta, Berridge, John, Berry, Colin, Best, Nicola, Bothma, Pieter, Chadwick, David, Brittain-Long, Robin, Bulteel, Naomi, Burden, Tom, Burtenshaw, Andrew, Caruth, Vikki, Chambler, Duncan, Chee, Nigel, Child, Jenny, Chukkambotla, Srikanth, Clark, Tom, Collini, Paul, Cosgrove, Catherine, Cupitt, Jason, Cutino-Moguel, Maria-Teresa, Dark, Paul, Dawson, Chris, Donnison, Phil, Douthwaite, Sam, Drummond, Andrew, DuRand, Ingrid, Dushianthan, Ahilanadan, Dyer, Tristan, Eziefula, Chi, Fegan, Chrisopher, Finn, Adam, Fullerton, Duncan, Garg, Sanjeev, Garg, Atul, Gkrania-Klotsas, Effrossyni, Godden, Jo, Goldsmith, Arthur, Hardy, Elaine, Hartshorn, Stuart, Harvey, Daniel, Havalda, Peter, Hawcutt, Daniel B., Hobrok, Maria, Hodgson, Luke, Hormis, Anil, Jacobs, Michael, Jain, Susan, Jennings, Paul, Kaliappan, Agilan, Kasipandian, Vidya, Kegg, Stephen, Kelsey, Michael, Kendall, Jason, Kerrison, Caroline, Kerslake, Ian, Koch, Oliver, Koduri, Gouri, Koshy, George, Laha, Shondipon, Laird, Steven, Larkin, Susan, Leiner, Tamas, Lillie, Patrick, Limb, James, Linnett, Vanessa, Little, Jeff, Lyttle, Mark, MacMahon, Michael, MacNaughton, Emily, Mankregod, Ravish, Masson, Huw, Matovu, Elijah, McCullough, Katherine, McEwen, Ruth, Meda, Manjula, Mills, Gary, Minton, Jane, Mohandas, Kavya, Mok, Quen, Moon, James, Moore, Elinoor, Morgan, Patrick, Morris, Craig, Mortimore, Katherine, Mpenge, Mbiye, Mulla, Rohinton, Murphy, Michael, Nagel, Megan, Nagarajan, Thapas, Nelson, Mark, Norris, Lillian, O'Shea, Matthew K., Otahal, Igor, Ostermann, Marlies, Pais, Mark, Panchatsharam, Selva, Papakonstantinou, Danai, Paraiso, Hassan, Patel, Brij, Pattison, Natalie, Pepperell, Justin, Peters, Mark, Phull, Mandeep, Pintus, Stefania, Pooni, Jagtur Singh, Planche, Tim, Post, Frank, Price, David, Prout, Rachel, Rae, Nikolas, Reschreiter, Henrik, Reynolds, Tim, Richardson, Neil, Roberts, Mark, Roberts, Devender, Rose, Alistair, Rousseau, Guy, Ruge, Bobby, Ryan, Brendan, Saluja, Taranprit, Schmid, Matthias L., Shah, Aarti, Shanmuga, Prad, Sharma, Anil, Shawcross, Anna, Sizer, Jeremy, Shankar-Hari, Manu, Smith, Richard, Snelson, Catherine, Spittle, Nick, Staines, Nikki, Stambach, Tom, Stewart, Richard, Subudhi, Pradeep, Szakmany, Tamas, Tatham, Kate, Thomas, Jo, Thompson, Chris, Thompson, Robert, Tridente, Ascanio, Tupper-Carey, Darell, Twagira, Mary, Vallotton, Nick, Vancheeswaran, Rama, Vincent-Smith, Lisa, Visuvanathan, Shico, Vuylsteke, Alan, Waddy, Sam, Wake, Rachel, Walden, Andrew, Welters, Ingeborg, Whitehouse, Tony, Whittaker, Paul, Whittington, Ashley, Papineni, Padmasayee, Wijesinghe, Meme, Williams, Martin, Wilson, Lawrence, Winchester, Stephen, Wiselka, Martin, Wolverson, Adam, Wootton, Daniel G., Workman, Andrew, Yates, Bryan, Young, Peter, de Silva, Thushan I., Liu, Guihai, Lindsey, Benjamin B., Dong, Danning, Hsu, Nienyun Sharon, Shah, Dhruv, Wellington, Dannielle, Angyal, Adrienn, Brown, Rebecca, Parker, Matthew D., Ying, Zixi, Yao, Xuan, Turtle, Lance, Dunachie, Susanna, Maini, Mala K., Ogg, Graham, Knight, Julian C., Peng, Yanchun, Rowland-Jones, Sarah L., and Dong, Tao

Published
2021
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343. How well can global chemistry models calculate the reactivity of short-lived greenhouse gases in the remote troposphere, knowing the chemical composition

Author

Prather, Michael J, Flynn, Clare M, Zhu, Xin, Steenrod, Stephen D, Strode, Sarah A, Fiore, Arlene M, Correa, Gustavo, Murray, Lee T, and Lamarque, Jean-Francois

Subjects
Earth Sciences, Atmospheric Sciences, Climate Action, Meteorology & Atmospheric Sciences, Atmospheric sciences
Abstract

We develop a new protocol for merging in situ measurements with 3-D model simulations of atmospheric chemistry with the goal of integrating these data to identify the most reactive air parcels in terms of tropospheric production and loss of the greenhouse gases ozone and methane. Presupposing that we can accurately measure atmospheric composition, we examine whether models constrained by such measurements agree on the chemical budgets for ozone and methane. In applying our technique to a synthetic data stream of 14ĝ€880 parcels along 180°ĝ€W, we are able to isolate the performance of the photochemical modules operating within their global chemistry-climate and chemistry-transport models, removing the effects of modules controlling tracer transport, emissions, and scavenging. Differences in reactivity across models are driven only by the chemical mechanism and the diurnal cycle of photolysis rates, which are driven in turn by temperature, water vapor, solar zenith angle, clouds, and possibly aerosols and overhead ozone, which are calculated in each model. We evaluate six global models and identify their differences and similarities in simulating the chemistry through a range of innovative diagnostics. All models agree that the more highly reactive parcels dominate the chemistry (e.g., the hottest 10ĝ€% of parcels control 25-30ĝ€% of the total reactivities), but do not fully agree on which parcels comprise the top 10ĝ€%. Distinct differences in specific features occur, including the spatial regions of maximum ozone production and methane loss, as well as in the relationship between photolysis and these reactivities. Unique, possibly aberrant, features are identified for each model, providing a benchmark for photochemical module development. Among the six models tested here, three are almost indistinguishable based on the inherent variability caused by clouds, and thus we identify four, effectively distinct, chemical models. Based on this work, we suggest that water vapor differences in model simulations of past and future atmospheres may be a cause of the different evolution of tropospheric O3 and CH4, and lead to different chemistry-climate feedbacks across the models.

Published
2018

344. Genetic Patterns of Common-Bean Seed Acquisition and Early-Stage Adoption Among Farmer Groups in Western Uganda

Author

Wilkus, Erin L, Mier y Teran, Jorge C Berny, Mukankusi, Clare M, and Gepts, Paul

Subjects
Agricultural, Veterinary and Food Sciences, Agriculture, Land and Farm Management, Biological Sciences, Genetics, Zero Hunger, seed system, participatory variety selection, single nucleotide polymorphisms, farmer association, variety adoption, population structure, genetic diversity, Phaseolus vulgaris, Plant Biology, Crop and pasture production, Plant biology
Abstract

Widespread adoption of new varieties can be valuable, especially where improved agricultural production technologies are hard to access. However, as farmers adopt new varieties, in situ population structure and genetic diversity of their seed holdings can change drastically. Consequences of adoption are still poorly understood due to a lack of crop genetic diversity assessments and detailed surveys of farmers' seed management practices. Common bean (Phaseolus vulgaris) is an excellent model for these types of studies, as it has a long history of cultivation among smallholder farmers, exhibits eco-geographic patterns of diversity (e.g., Andean vs. Mesoamerican gene-pools), and has been subjected to post-Columbian dispersal and recent introduction of improved cultivars. The Hoima district of western Uganda additionally provides an excellent social setting for evaluating consequences of adoption because access to improved varieties has varied across farmer groups in this production region. This study establishes a baseline understanding of the common bean diversity found among household producers in Uganda and compares the crop population structure, diversity and consequences of adoption of household producers with different adoption practices. Molecular diversity analysis, based on 4,955 single nucleotide polymorphism (SNP) markers, evaluated a total of 1,156 seed samples that included 196 household samples collected from household producers in the Hoima district, 19 breeder-selected varieties used in participatory breeding activities that had taken place prior to the study in the region, and a global bean germplasm collection. Households that had participated in regional participatory breeding efforts were more likely to adopt new varieties and, consequently, diversify their seed stocks than those that had not participated. Of the three farmer groups that participated in breeding efforts, households from the farmer group with the longest history of bean production were more likely to conserve "Seed Engufu", a local "Calima"-type variety of the Andean bean gene pool, and, at the same time, introduce rare Mesoamerican gene pool varieties into household seed stocks.

Published
2018

345. Cloud impacts on photochemistry: building a climatology of photolysis rates from the Atmospheric Tomography mission

Author

Hall, Samuel R, Ullmann, Kirk, Prather, Michael J, Flynn, Clare M, Murray, Lee T, Fiore, Arlene M, Correa, Gustavo, Strode, Sarah A, Steenrod, Stephen D, Lamarque, Jean-Francois, Guth, Jonathan, Josse, Béatrice, Flemming, Johannes, Huijnen, Vincent, Abraham, N Luke, and Archibald, Alex T

Subjects
Earth Sciences, Atmospheric Sciences, Climate Action, Astronomical and Space Sciences, Meteorology & Atmospheric Sciences, Atmospheric sciences, Climate change science
Abstract

Measurements from actinic flux spectroradiometers on board the NASA DC-8 during the Atmospheric Tomography (ATom) mission provide an extensive set of statistics on how clouds alter photolysis rates (J values) throughout the remote Pacific and Atlantic Ocean basins. J values control tropospheric ozone and methane abundances, and thus clouds have been included for more than three decades in tropospheric chemistry modeling. ATom made four profiling circumnavigations of the troposphere capturing each of the seasons during 2016-2018. This work examines J values from the Pacific Ocean flights of the first deployment, but publishes the complete Atom-1 data set (29 July to 23 August 2016). We compare the observed J values (every 3s along flight track) with those calculated by nine global chemistry-climate/transport models (globally gridded, hourly, for a mid-August day). To compare these disparate data sets, we build a commensurate statistical picture of the impact of clouds on J values using the ratio of J-cloudy (standard, sometimes cloudy conditions) to J-clear (artificially cleared of clouds). The range of modeled cloud effects is inconsistently large but they fall into two distinct classes: (1) models with large cloud effects showing mostly enhanced J values aloft and or diminished at the surface and (2) models with small effects having nearly clear-sky J values much of the time. The ATom-1 measurements generally favor large cloud effects but are not precise or robust enough to point out the best cloud-modeling approach. The models here have resolutions of 50-200 km and thus reduce the occurrence of clear sky when averaging over grid cells. In situ measurements also average scattered sunlight over a mixed cloud field, but only out to scales of tens of kilometers. A primary uncertainty remains in the role of clouds in chemistry, in particular, how models average over cloud fields, and how such averages can simulate measurements.

Published
2018

347. SARS-CoV-2 seropositivity and subsequent infection risk in healthy young adults: a prospective cohort study

Author

Letizia, Andrew G, Ge, Yongchao, Vangeti, Sindhu, Goforth, Carl, Weir, Dawn L, Kuzmina, Natalia A, Balinsky, Corey A, Chen, Hua Wei, Ewing, Dan, Soares-Schanoski, Alessandra, George, Mary-Catherine, Graham, William D, Jones, Franca, Bharaj, Preeti, Lizewski, Rhonda A, Lizewski, Stephen E, Marayag, Jan, Marjanovic, Nada, Miller, Clare M, Mofsowitz, Sagie, Nair, Venugopalan D, Nunez, Edgar, Parent, Danielle M, Porter, Chad K, Santa Ana, Ernesto, Schilling, Megan, Stadlbauer, Daniel, Sugiharto, Victor A, Termini, Michael, Sun, Peifang, Tracy, Russell P, Krammer, Florian, Bukreyev, Alexander, Ramos, Irene, and Sealfon, Stuart C

Published
2021
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348. Recurrent emergence of SARS-CoV-2 spike deletion H69/V70 and its role in the Alpha variant B.1.1.7

Author

Robson, Samuel C., Loman, Nicholas J., Connor, Thomas R., Golubchik, Tanya, Martinez Nunez, Rocio T., Ludden, Catherine, Corden, Sally, Johnston, Ian, Bonsall, David, Smith, Colin P., Awan, Ali R., Bucca, Giselda, Torok, M. Estee, Saeed, Kordo, Prieto, Jacqui A., Jackson, David K., Hamilton, William L., Snell, Luke B., Moore, Catherine, Harrison, Ewan M., Goncalves, Sonia, Fairley, Derek J., Loose, Matthew W., Watkins, Joanne, Livett, Rich, Moses, Samuel, Amato, Roberto, Nicholls, Sam, Bull, Matthew, Smith, Darren L., Barrett, Jeff, Aanensen, David M., Curran, Martin D., Parmar, Surendra, Aggarwal, Dinesh, Shepherd, James G., Parker, Matthew D., Glaysher, Sharon, Bashton, Matthew, Underwood, Anthony P., Pacchiarini, Nicole, Loveson, Katie F., Templeton, Kate E., Langford, Cordelia F., Sillitoe, John, de Silva, Thushan I., Wang, Dennis, Kwiatkowski, Dominic, Rambaut, Andrew, O’Grady, Justin, Cottrell, Simon, Holden, Matthew T.G., Thomson, Emma C., Osman, Husam, Andersson, Monique, Chauhan, Anoop J., Hassan-Ibrahim, Mohammed O., Lawniczak, Mara, Alderton, Alex, Chand, Meera, Constantinidou, Chrystala, Unnikrishnan, Meera, Darby, Alistair C., Hiscox, Julian A., Paterson, Steve, Martincorena, Inigo, Volz, Erik M., Page, Andrew J., Pybus, Oliver G., Bassett, Andrew R., Ariani, Cristina V., Chapman, Michael H. Spencer, Li, Kathy K., Shah, Rajiv N., Jesudason, Natasha G., Taha, Yusri, McHugh, Martin P., Dewar, Rebecca, Jahun, Aminu S., McMurray, Claire, Pandey, Sarojini, McKenna, James P., Nelson, Andrew, Young, Gregory R., McCann, Clare M., Elliott, Scott, Lowe, Hannah, Temperton, Ben, Roy, Sunando, Price, Anna, Rey, Sara, Wyles, Matthew, Rooke, Stefan, Shaaban, Sharif, de Cesare, Mariateresa, Letchford, Laura, Silveira, Siona, Pelosi, Emanuela, Wilson-Davies, Eleri, Hosmillo, Myra, O’Toole, Áine, Hesketh, Andrew R., Stark, Richard, du Plessis, Louis, Ruis, Chris, Adams, Helen, Bourgeois, Yann, Michell, Stephen L., Grammatopoulos, Dimitris, Edgeworth, Jonathan, Breuer, Judith, Todd, John A., Fraser, Christophe, Buck, David, John, Michaela, Kay, Gemma L., Palmer, Steve, Peacock, Sharon J., Heyburn, David, Weldon, Danni, Robinson, Esther, McNally, Alan, Muir, Peter, Vipond, Ian B., Boyes, John, Sivaprakasam, Venkat, Salluja, Tranprit, Dervisevic, Samir, Meader, Emma J., Park, Naomi R., Oliver, 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2021
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