52,997 results on '"Easton"'
Search Results
202. 9. Where Are We? gps and gnss Today
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Easton, Richard D.
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- 2013
203. 5. Invisible Stars: How GPS Works
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Easton, Richard D.
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- 2013
204. 3. Success Has Many Fathers: Early Concepts for Satellite Navigation
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Easton, Richard D.
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- 2013
205. Title Page, Copyright, Dedication
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Easton, Richard D.
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- 2013
206. 2. Weather Permitting: A Brief History of Navigation
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Easton, Richard D.
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- 2013
207. 1. New Moons Rising: The Satellite Age Arrives
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Easton, Richard D.
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- 2013
208. List of Abbreviations
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Easton, Richard D.
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- 2013
209. Acknowledgments
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Easton, Richard D.
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- 2013
210. Cover
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Easton, Richard D.
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- 2013
211. Foreword
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Easton, Richard D.
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- 2013
212. List of Illustrations
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Easton, Richard D.
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- 2013
213. Reaching for Improvement: Teacher Evaluation and Its Role in Instructional Improvement. Research Summary
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University of Chicago Consortium on School Research, Shyjka, Andria, and Easton, John Q.
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This research summary provides the key findings and interpretive summary--chapters 3 and 4--from the full report, "Reaching for Improvement: Teacher Evaluation and its Role in Instructional Improvement." The full report contains additional details on the context, methodology, and findings of this study. This document has minor differences to ensure clarity in its shorter form. This study examined teachers' experiences with instructional improvement in seven Chicago Public Schools from 2017-18 to ask: What organizational conditions and capacities supported evaluation-driven instructional improvement? [For the full Research Report, see ED623750.]
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- 2022
214. Experimental translocations of the threatened New Zealand plants Carex inopinata Cook (Cyperaceae) and Simplicia laxa Kirk (Poaceae)
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Lloyd, Kelvin Michael, Fay, Valerie, and Easton, Luke
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- 2018
215. The Perils of Pedagogy: The Works of John Greyson ed. by Brenda Longfellow, Scott MacKenzie, and Thomas Waugh (review)
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Easton, Anthony
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- 2016
216. Cluster randomised controlled trial of a financial incentive for mothers to improve breast feeding in areas with low breastfeeding rates: the NOSH study protocol
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Sabina Sanghera, Julia Fox-Rushby, Mary J Renfrew, Maxine Johnson, Clare Relton, Stephen Walters, Mark Strong, Kate Thomas, Julia Burrows, Barbara Whelan, Heather M Whitford, Elaine Scott, Nana Anoyke, and Easton Sue
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Medicine - Abstract
Introduction Breast feeding can promote positive long-term and short-term health outcomes in infant and mother. The UK has one of the lowest breastfeeding rates (duration and exclusivity) in the world, resulting in preventable morbidities and associated healthcare costs. Breastfeeding rates are also socially patterned, thereby potentially contributing to health inequalities. Financial incentives have been shown to have a positive effect on health behaviours in previously published studies.Methods and analysis Based on data from earlier development and feasibility stages, a cluster (electoral ward) randomised trial with mixed-method process and content evaluation was designed. The ‘Nourishing Start for Health’ (NOSH) intervention comprises a financial incentive programme of up to 6 months duration, delivered by front-line healthcare professionals, in addition to existing breastfeeding support. The intervention aims to increase the prevalence and duration of breast feeding in wards with low breastfeeding rates. The comparator is usual care (no offer of NOSH intervention). Routine data on breastfeeding rates at 6–8 weeks will be collected for 92 clusters (electoral wards) on an estimated 10 833 births. This sample is calculated to provide 80% power in determining a 4% point difference in breastfeeding rates between groups. Content and process evaluation will include interviews with mothers, healthcare providers, funders and commissioners of infant feeding services. The economic analyses, using a healthcare provider's perspective, will be twofold, including a within-trial cost-effectiveness analysis and beyond-trial modelling of longer term expectations for cost-effectiveness. Results of economic analyses will be expressed as cost per percentage point change in cluster level in breastfeeding rates between trial arms. In addition, we will present difference in resource use impacts for a range of acute conditions in babies aged 0–6 months.Ethics and dissemination Participating organisations Research and Governance departments approved the study. Results will be published in peer-reviewed journals and at conference presentations.Trial registration number ISRCTN44898617; Pre-results.
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- 2016
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217. Factorization in Additive Monoids of Evaluation Polynomial Semirings
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Ajran, Khalid, Bringas, Juliet, Li, Bangzheng, Singer, Easton, and Tirador, Marcos
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Mathematics - Commutative Algebra ,Primary: 13A05, 16Y60, Secondary: 06F05, 11R09 - Abstract
For a positive real $\alpha$, we can consider the additive submonoid $M$ of the real line that is generated by the nonnegative powers of $\alpha$. When $\alpha$ is transcendental, $M$ is a unique factorization monoid. However, when $\alpha$ is algebraic, $M$ may not be atomic, and even when $M$ is atomic, it may contain elements having more than one factorization (i.e., decomposition as a sum of irreducibles). The main purpose of this paper is to study the phenomenon of multiple factorizations inside $M$. When $\alpha$ is algebraic but not rational, the arithmetic of factorizations in $M$ is highly interesting and complex. In order to arrive to that conclusion, we investigate various factorization invariants of $M$, including the sets of lengths, sets of Betti elements, and catenary degrees. Our investigation gives continuity to recent studies carried out by Chapman, et al. in 2020 and by Correa-Morris and Gotti in 2022., Comment: 18 pages
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- 2023
218. Annual (2023) taxonomic update of RNA-directed RNA polymerase-encoding negative-sense RNA viruses (realm Riboviria: kingdom Orthornavirae: phylum Negarnaviricota).
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Bukreyev, Alexander, Burt, Felicity, Büttner, Carmen, Calisher, Charles, Cao, Mengji, Casas, Inmaculada, Chandran, Kartik, Charrel, Rémi, Kumar Chaturvedi, Krishna, Chooi, Kar, Crane, Anya, Dal Bó, Elena, Carlos de la Torre, Juan, de Souza, William, de Swart, Rik, Debat, Humberto, Dheilly, Nolwenn, Di Paola, Nicholas, Di Serio, Francesco, Dietzgen, Ralf, Digiaro, Michele, Drexler, J, Duprex, W, Dürrwald, Ralf, Easton, Andrew, Elbeaino, Toufic, Ergünay, Koray, Feng, Guozhong, Firth, Andrew, Fooks, Anthony, Formenty, Pierre, Freitas-Astúa, Juliana, Gago-Zachert, Selma, Laura García, María, García-Sastre, Adolfo, Garrison, Aura, Gaskin, Thomas, Gong, Wenjie, Gonzalez, Jean-Paul, de Bellocq, JoëlleGoüy, Griffiths, Anthony, Groschup, Martin, Günther, Ines, Günther, Stephan, Hammond, John, Hasegawa, Yusuke, Hayashi, Kazusa, Hepojoki, Jussi, Higgins, Colleen, Hongō, Seiji, Horie, Masayuki, Hughes, Holly, Hume, Adam, Hyndman, Timothy, Ikeda, Kenichi, Jiāng, Dàohóng, Jonson, Gilda, Junglen, Sandra, Klempa, Boris, Klingström, Jonas, Kondō, Hideki, Koonin, Eugene, Krupovic, Mart, Kubota, Kenji, Kurath, Gael, Laenen, Lies, Lambert, Amy, Lǐ, Jiànróng, Li, Jun-Min, Liu, Ran, Lukashevich, Igor, MacDiarmid, Robin, Maes, Piet, Marklewitz, Marco, Marshall, Sergio, Marzano, Shin-Yi, McCauley, John, Mirazimi, Ali, Mühlberger, Elke, Nabeshima, Tomoyuki, Naidu, Rayapati, Natsuaki, Tomohide, Navarro, Beatriz, Navarro, José, Neriya, Yutaro, Netesov, Sergey, Neumann, Gabriele, Nowotny, Norbert, Nunes, Márcio, Ochoa-Corona, Francisco, Okada, Tomoyuki, Palacios, Gustavo, Pallás, Vicente, Papa, Anna, Paraskevopoulou, Sofia, Parrish, Colin, Pauvolid-Corrêa, Alex, Pawęska, Janusz, Pérez, Daniel, and Pfaff, Florian
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Aliusviridae ,Arenaviridae ,Articulavirales ,Artoviridae ,Aspiviridae ,Bornaviridae ,Bunyavirales ,Crepuscuviridae ,Discoviridae ,Filoviridae ,Fimoviridae ,Goujianvirales ,Hantaviridae ,ICTV ,International Committee on Taxonomy of Viruses ,Jingchuvirales ,Lispiviridae ,Mononegavirales ,Muvirales ,Mymonaviridae ,Myriaviridae ,Nairoviridae ,Natareviridae ,Negarnaviricota ,Nyamiviridae ,Orthomyxoviridae ,Orthornavirae ,Paramyxoviridae ,Peribunyaviridae ,Phasmaviridae ,Phenuiviridae ,Pneumoviridae ,Rhabdoviridae ,Riboviria ,Serpentovirales ,Sunviridae ,Tenuivirus ,Tosoviridae ,Tospoviridae ,Tulasviridae ,articulaviral ,bunyaviral ,bunyavirus ,goujianviral ,megaclassification ,megataxonomy ,mononegaviral ,muviral ,negarnaviricot ,serpentoviral ,virus classification ,virus nomenclature ,virus taxonomy ,Negative-Sense RNA Viruses ,RNA Viruses ,RNA-Dependent RNA Polymerase - Abstract
In April 2023, following the annual International Committee on Taxonomy of Viruses (ICTV) ratification vote on newly proposed taxa, the phylum Negarnaviricota was amended and emended. The phylum was expanded by one new family, 14 new genera, and 140 new species. Two genera and 538 species were renamed. One species was moved, and four were abolished. This article presents the updated taxonomy of Negarnaviricota as now accepted by the ICTV.
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- 2023
219. Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer‐specific survival
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Morra, Anna, Schreurs, Maartje AC, Andrulis, Irene L, Anton‐Culver, Hoda, Augustinsson, Annelie, Beckmann, Matthias W, Behrens, Sabine, Bojesen, Stig E, Bolla, Manjeet K, Brauch, Hiltrud, Broeks, Annegien, Buys, Saundra S, Camp, Nicola J, Castelao, Jose E, Cessna, Melissa H, Chang‐Claude, Jenny, Chung, Wendy K, Sahlberg, Kristine K, Børresen‐Dale, Anne‐Lise, Gram, Inger Torhild, Olsen, Karina Standahl, Engebråten, Olav, Naume, Bjørn, Geisler, Jürgen, OSBREAC, Alnæs, Grethe I Grenaker, Colonna, Sarah V, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Dennis, Joe, Devilee, Peter, Dörk, Thilo, Dunning, Alison M, Dwek, Miriam, Easton, Douglas F, Eccles, Diana M, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Fehm, Tanja N, Figueroa, Jonine D, Flyger, Henrik, Gabrielson, Marike, Gago‐Dominguez, Manuela, García‐Closas, Montserrat, García‐Sáenz, José A, Genkinger, Jeanine, Grassmann, Felix, Gündert, Melanie, Hahnen, Eric, Haiman, Christopher A, Hamann, Ute, Harrington, Patricia A, Hartikainen, Jaana M, Hoppe, Reiner, Hopper, John L, Houlston, Richard S, Howell, Anthony, Clarke, Christine, Marsh, Deborah, Scott, Rodney, Baxter, Robert, Yip, Desmond, Carpenter, Jane, Davis, Alison, Pathmanathan, Nirmala, Simpson, Peter, Graham, J Dinny, Sachchithananthan, Mythily, Amor, David, Andrews, Lesley, Antill, Yoland, Balleine, Rosemary, Beesley, Jonathan, Bennett, Ian, Bogwitz, Michael, Botes, Leon, Brennan, Meagan, Brown, Melissa, Buckley, Michael, Burke, Jo, Butow, Phyllis, Caldon, Liz, Campbell, Ian, Cao, Michelle, Chakrabarti, Anannya, Chauhan, Deepa, Chauhan, Manisha, Chenevix‐Trench, Georgia, Christian, Alice, Cohen, Paul, Colley, Alison, Crook, Ashley, Cui, James, Courtney, Eliza, Cummings, Margaret, and Dawson, Sarah‐Jane
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Breast Cancer ,Cancer ,Women's Health ,Clinical Research ,Prevention ,Female ,Humans ,Breast Neoplasms ,Checkpoint Kinase 2 ,Genetic Predisposition to Disease ,Germ-Line Mutation ,Heterozygote ,Proportional Hazards Models ,CHEK2 c.1100delC germline genetic variant ,contralateral breast cancer risk ,radiotherapy ,survival ,systemic treatment ,NBCS Collaborators ,ABCTB Investigators ,kConFab Investigators ,Biochemistry and Cell Biology ,Oncology and carcinogenesis - Abstract
BackgroundBreast cancer (BC) patients with a germline CHEK2 c.1100delC variant have an increased risk of contralateral BC (CBC) and worse BC-specific survival (BCSS) compared to non-carriers.AimTo assessed the associations of CHEK2 c.1100delC, radiotherapy, and systemic treatment with CBC risk and BCSS.MethodsAnalyses were based on 82,701 women diagnosed with a first primary invasive BC including 963 CHEK2 c.1100delC carriers; median follow-up was 9.1 years. Differential associations with treatment by CHEK2 c.1100delC status were tested by including interaction terms in a multivariable Cox regression model. A multi-state model was used for further insight into the relation between CHEK2 c.1100delC status, treatment, CBC risk and death.ResultsThere was no evidence for differential associations of therapy with CBC risk by CHEK2 c.1100delC status. The strongest association with reduced CBC risk was observed for the combination of chemotherapy and endocrine therapy [HR (95% CI): 0.66 (0.55-0.78)]. No association was observed with radiotherapy. Results from the multi-state model showed shorter BCSS for CHEK2 c.1100delC carriers versus non-carriers also after accounting for CBC occurrence [HR (95% CI): 1.30 (1.09-1.56)].ConclusionSystemic therapy was associated with reduced CBC risk irrespective of CHEK2 c.1100delC status. Moreover, CHEK2 c.1100delC carriers had shorter BCSS, which appears not to be fully explained by their CBC risk.
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- 2023
220. Ovarian cancer pathology characteristics as predictors of variant pathogenicity in BRCA1 and BRCA2
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O’Mahony, Denise G, Ramus, Susan J, Southey, Melissa C, Meagher, Nicola S, Hadjisavvas, Andreas, John, Esther M, Hamann, Ute, Imyanitov, Evgeny N, Andrulis, Irene L, Sharma, Priyanka, Daly, Mary B, Hake, Christopher R, Weitzel, Jeffrey N, Jakubowska, Anna, Godwin, Andrew K, Arason, Adalgeir, Bane, Anita, Simard, Jacques, Soucy, Penny, Caligo, Maria A, Mai, Phuong L, Claes, Kathleen BM, Teixeira, Manuel R, Chung, Wendy K, Lazaro, Conxi, Hulick, Peter J, Toland, Amanda E, Pedersen, Inge Sokilde, Neuhausen, Susan L, Vega, Ana, de la Hoya, Miguel, Nevanlinna, Heli, Dhawan, Mallika, Zampiga, Valentina, Danesi, Rita, Varesco, Liliana, Gismondi, Viviana, Vellone, Valerio Gaetano, James, Paul A, Janavicius, Ramunas, Nikitina-Zake, Liene, Nielsen, Finn Cilius, van Overeem Hansen, Thomas, Pejovic, Tanja, Borg, Ake, Rantala, Johanna, Offit, Kenneth, Montagna, Marco, Nathanson, Katherine L, Domchek, Susan M, Osorio, Ana, García, María J, Karlan, Beth Y, De Fazio, Anna, Bowtell, David, McGuffog, Lesley, Leslie, Goska, Parsons, Michael T, Dörk, Thilo, Speith, Lisa-Marie, dos Santos, Elizabeth Santana, da Costa, Alexandre André BA, Radice, Paolo, Peterlongo, Paolo, Papi, Laura, Engel, Christoph, Hahnen, Eric, Schmutzler, Rita K, Wappenschmidt, Barbara, Easton, Douglas F, Tischkowitz, Marc, Singer, Christian F, Tan, Yen Yen, Whittemore, Alice S, Sieh, Weiva, Brenton, James D, Yannoukakos, Drakoulis, Fostira, Florentia, Konstantopoulou, Irene, Soukupova, Jana, Vocka, Michal, Chenevix-Trench, Georgia, Pharoah, Paul DP, Antoniou, Antonis C, Goldgar, David E, Spurdle, Amanda B, and Michailidou, Kyriaki
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Ovarian Cancer ,Cancer ,Breast Cancer ,Women's Health ,Rare Diseases ,Genetics ,2.1 Biological and endogenous factors ,Good Health and Well Being ,Humans ,Female ,Virulence ,BRCA1 Protein ,BRCA2 Protein ,Ovarian Neoplasms ,Genetic Predisposition to Disease ,Breast Neoplasms ,HEBON Investigators ,GEMO Study Collaborators ,AOCS Group ,CZECANCA Consortium ,Consortium of Investigators of Modifiers of BRCA1/2 ,Evidence-based Network for the Interpretation of Germline Mutant Alleles Consortium ,Public Health and Health Services ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
BackgroundThe distribution of ovarian tumour characteristics differs between germline BRCA1 and BRCA2 pathogenic variant carriers and non-carriers. In this study, we assessed the utility of ovarian tumour characteristics as predictors of BRCA1 and BRCA2 variant pathogenicity, for application using the American College of Medical Genetics and the Association for Molecular Pathology (ACMG/AMP) variant classification system.MethodsData for 10,373 ovarian cancer cases, including carriers and non-carriers of BRCA1 or BRCA2 pathogenic variants, were collected from unpublished international cohorts and consortia and published studies. Likelihood ratios (LR) were calculated for the association of ovarian cancer histology and other characteristics, with BRCA1 and BRCA2 variant pathogenicity. Estimates were aligned to ACMG/AMP code strengths (supporting, moderate, strong).ResultsNo histological subtype provided informative ACMG/AMP evidence in favour of BRCA1 and BRCA2 variant pathogenicity. Evidence against variant pathogenicity was estimated for the mucinous and clear cell histologies (supporting) and borderline cases (moderate). Refined associations are provided according to tumour grade, invasion and age at diagnosis.ConclusionsWe provide detailed estimates for predicting BRCA1 and BRCA2 variant pathogenicity based on ovarian tumour characteristics. This evidence can be combined with other variant information under the ACMG/AMP classification system, to improve classification and carrier clinical management.
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- 2023
221. Hegel and the Philosophy of Religion: The Wofford Symposium (review)
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Easton, Loyd David
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- 2008
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222. Divine Will and the Mechanical Philosophy (review)
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Easton, Patricia Ann
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- 2008
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223. Philosophical Selections, and: Treatise on Nature and Grace (review)
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Easton, Patricia Ann
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- 2008
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224. The CompactLight Design Study
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D’Auria, G., Adli, E., Aicheler, M., Aksoy, A., Alesini, D., Apsimon, R., Arnsberg, J., Auchettl, R., Bainbridge, A., Balazs, K., Bantekas, D., Bedolla, J., Behtouei, M., Bellaveglia, M., vd Berg, M., Bernhard, A., Bignami, A., Breitenbach, M., Breukers, M., Burt, G., Cai, J., Calvi, M., Cardelli, F., Carpanese, M., Cortes, H. M. Castaneda, Castilla, A., Cianchi, A., Clarke, J., Cowie, L., Croia, M., Cross, A., Danailov, M., Dattoli, G., Deleval, S., Mitri, S. Di, Diomede, M., Dowd, R., Dunning, D., Easton, J., Fang, W., Fatehi, S., Faus-Golfe, A., Ferianis, M., Ferrario, M., Ficcadenti, L., Gallo, A., Gazis, E., Gazis, N., Geometrante, R., Gethmann, J., Gioppo, R., Giribono, A., González-Iglesias, D., Goryashko, V., Grohmann, S., Gu, Q., Han, Y., Hinton, A., Hobi, A., Hoekstra, R., Huang, X., Jacewicz, M., Jones, J., Kaertner, F., Karagiannaki, A., Kokole, M., Kotitsa, R., Kotsopoulos, D., Krasch, B., Latina, A., Lepercq, P., Liu, X., Lucas, T. G., Luiten, O. J., Maheshwari, M., Mahnic, J., Mak, A., Marcos, J., Marin, E., Marinov, K., Martínez, B. G., Mercier, B., Migliorati, M., Milharcic, T., Mostacci, A., Mu noz, R., Musat, V., Mutsaers, P. H. A., Nergiz, Z., Nguyen, F., Nix, L., Palumbo, L., Parodi, M., Pavlica, R., Pellegrino, L., Pereira, D. E., Perez, F., Petralia, A., Piersanti, L., Pockar, J., Pramatari, K., Priem, H., Primozic, U., Rassool, R., Reiche, S., Revilak, P., Richter, S. C., Rochow, R., Rossi, C., Salén, P., Schmidt, T., Schoerling, D., Schulte, D., Scifo, J., Sheehy, S., Shepherd, B., Spataro, B., Stapnes, S., Stragier, X. F. D., Syratchev, I., Tabacco, C., Tan, J., Tanke, E., Taylor, G., Telahi, I., Thompson, N., Trachanas, E., Tzanetou, K. S., Vaccarezza, C., Vainola, J., Vannozzi, A., Volpi, M., Wang, C., Williams, P., Wu, X., Wuensch, W., Yap, J., Zangrando, M., Zhang, K., Zhang, L., Zhao, Y., Zhao, Z., and Zhu, D.
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- 2024
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225. Analysing the effect of defects on stress concentration and fatigue life of L-PBF AlSi10Mg alloy using finite element modelling
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Afroz, L., Inverarity, S. B., Qian, M., Easton, M., and Das, R.
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- 2024
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226. A population-based audit of ethnicity and breast cancer risk in one general practice catchment area in North London, UK: implications for practice
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Ferris Michelle, Easton Douglas F, Doherty Rebecca J, Briggs Brian HJ, Newman Michelle, Saraf Ifthikhar M, Scambler Sarah, Wagman Lyndon, Wyndham Michael T, Ward Ann, and Eeles Rosalind A
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breast cancer risk ,Ashkenazi ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 ,Genetics ,QH426-470 - Abstract
Abstract Objectives To conduct a pilot population-based study within a general practice catchment area to determine whether the incidence of breast cancer was increased in the Ashkenazi population. Design Population-based cohort study. Setting A single general practice catchment area in North London. Participants 1947 women over the age of 16 who responded to a questionnaire about ethnicity and breast cancer. Main outcome measures Incidence of breast cancer, ethnicity. Results This study showed a 1.5-fold (95% CI 0.93–2.39) increase in breast cancer risk in the Ashkenazim compared with the non-Ashkenazi white population. The increased incidence was for both premenopausal and postmenopausal breast cancer (expected incidence pre:post is 1:4 whereas in the Ashkenazim it was 1:1; 51 and 52% of cases respectively). This increase was not shown in the Sephardim. Asians had a reduction in incidence (OR = 0.44; 95% CI 0.10–1.89). Results were adjusted for other risk factors for breast cancer. Conclusion This study showed a 1.5-fold increase in breast cancer rates in Ashkenazim compared with the non-Jewish white population when adjusted for age (i.e. corrections were made to allow comparison of age groups) and this is not observed in the Sephardic population. The proportion of premenopausal breast cancer was just over double that of the general population. This is the first general practice population-based study in the UK to address this issue and has implications for general practitioners who care for patients from the Ashkenazi community.
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- 2007
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227. New-gen ryegrass complements herd genetics
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Easton, Barry
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- 2017
228. The Fear of Writing Badly
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Easton, Celia A
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- 2004
229. IT-RUDA: Information Theory Assisted Robust Unsupervised Domain Adaptation
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Rashidi, Shima, Tennakoon, Ruwan, Rekavandi, Aref Miri, Jessadatavornwong, Papangkorn, Freis, Amanda, Huff, Garret, Easton, Mark, Mouritz, Adrian, Hoseinnezhad, Reza, and Bab-Hadiashar, Alireza
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Computer Science - Machine Learning ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Distribution shift between train (source) and test (target) datasets is a common problem encountered in machine learning applications. One approach to resolve this issue is to use the Unsupervised Domain Adaptation (UDA) technique that carries out knowledge transfer from a label-rich source domain to an unlabeled target domain. Outliers that exist in either source or target datasets can introduce additional challenges when using UDA in practice. In this paper, $\alpha$-divergence is used as a measure to minimize the discrepancy between the source and target distributions while inheriting robustness, adjustable with a single parameter $\alpha$, as the prominent feature of this measure. Here, it is shown that the other well-known divergence-based UDA techniques can be derived as special cases of the proposed method. Furthermore, a theoretical upper bound is derived for the loss in the target domain in terms of the source loss and the initial $\alpha$-divergence between the two domains. The robustness of the proposed method is validated through testing on several benchmarked datasets in open-set and partial UDA setups where extra classes existing in target and source datasets are considered as outliers.
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- 2022
230. Web3 Challenges and Opportunities for the Market
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Sheridan, Dan, Harris, James, Wear, Frank, Cowell Jr, Jerry, Wong, Easton, and Yazdinejad, Abbas
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Computer Science - Computers and Society ,Computer Science - Multimedia - Abstract
The inability of a computer to think has been a limiter in its usefulness and a point of reassurance for humanity since the first computers were created. The semantic web is the first step toward removing that barrier, enabling computers to operate based on conceptual understanding, and AI and ML are the second. Both semantic knowledge and the ability to learn are fundamental to web3, as are blockchain, decentralization, transactional transparency, and ownership. Web3 is the next generational step in the information age, where the web evolves into a more digestible medium for users and machines to browse knowledge. The slow introduction of Web3 across the global software ecosystem will impact the people who enable the current iteration. This evolution of the internet space will expand the way knowledge is shared, consumed, and owned, which will lessen the requirement for a global standard and allow data to interact efficiently, no matter the construction of the knowledge. The heart of this paper understands the: 1) Enablement of Web3 across the digital ecosystem. 2) What a Web3 developer will look like. 3) How this alteration will evolve the market around software and knowledge in general.
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- 2022
231. Associations of a Breast Cancer Polygenic Risk Score With Tumor Characteristics and Survival
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Lopes Cardozo, Josephine MN, Andrulis, Irene L, Bojesen, Stig E, Dörk, Thilo, Eccles, Diana M, Fasching, Peter A, Hooning, Maartje J, Keeman, Renske, Nevanlinna, Heli, Rutgers, Emiel JT, Easton, Douglas F, Hall, Per, Pharoah, Paul DP, van 't Veer, Laura J, Schmidt, Marjanka K, Ahearn, Thomas U, Anton-Culver, Hoda, Arndt, Volker, Auer, Paul L, Augustinsson, Annelie, Beane Freeman, Laura E, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bolla, Manjeet K, Bonanni, Bernardo, Boyle, Terry, Brenner, Hermann, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Camp, Nicola J, Canzian, Federico, Cardoso, Fatima, Castelao, Jose E, Cessna, Melissa H, Chan, Tsun L, Chang-Claude, Jenny, Chenevix-Trench, Georgia, Choi, Ji-Yeob, Colonna, Sarah V, Copson, Ellen, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Dennis, Joe, Devilee, Peter, Drukker, Caroline A, Dunning, Alison M, Dwek, Miriam, Eliassen, A Heather, Engel, Christoph, Evans, D Gareth, Figueroa, Jonine D, Fletcher, Olivia, Flyger, Henrik, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José A, Genkinger, Jeanine, Giles, Graham G, González-Neira, Anna, Guénel, Pascal, Gündert, Melanie, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, Hartman, Mikael, Heemskerk-Gerritsen, Bernadette AM, Hein, Alexander, Ho, Weang-Kee, Hoppe, Reiner, Hopper, John L, Houlston, Richard S, Howell, Anthony, Hunter, David J, Ito, Hidemi, Jakubowska, Anna, Jernström, Helena, John, Esther M, Johnson, Nichola, Jones, Michael E, Joseph, Vijai, Kaaks, Rudolf, Kang, Daehee, Kim, Sung-Won, Kitahara, Cari M, Koppert, Linetta B, Kosma, Veli-Matti, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, and Koutros, Stella
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Prevention ,Human Genome ,Genetics ,Cancer ,Women's Health ,Breast Cancer ,Good Health and Well Being ,Female ,Humans ,Breast Neoplasms ,Risk Factors ,Prognosis ,Proportional Hazards Models ,Breast ,Breast Cancer Association Consortium and MINDACT Collaborators ,Clinical Sciences ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
PurposeA polygenic risk score (PRS) consisting of 313 common genetic variants (PRS313) is associated with risk of breast cancer and contralateral breast cancer. This study aimed to evaluate the association of the PRS313 with clinicopathologic characteristics of, and survival following, breast cancer.MethodsWomen with invasive breast cancer were included, 98,397 of European ancestry and 12,920 of Asian ancestry, from the Breast Cancer Association Consortium (BCAC), and 683 women from the European MINDACT trial. Associations between PRS313 and clinicopathologic characteristics, including the 70-gene signature for MINDACT, were evaluated using logistic regression analyses. Associations of PRS313 (continuous, per standard deviation) with overall survival (OS) and breast cancer-specific survival (BCSS) were evaluated with Cox regression, adjusted for clinicopathologic characteristics and treatment.ResultsThe PRS313 was associated with more favorable tumor characteristics. In BCAC, increasing PRS313 was associated with lower grade, hormone receptor-positive status, and smaller tumor size. In MINDACT, PRS313 was associated with a low risk 70-gene signature. In European women from BCAC, higher PRS313 was associated with better OS and BCSS: hazard ratio (HR) 0.96 (95% CI, 0.94 to 0.97) and 0.96 (95% CI, 0.94 to 0.98), but the association disappeared after adjustment for clinicopathologic characteristics (and treatment): OS HR, 1.01 (95% CI, 0.98 to 1.05) and BCSS HR, 1.02 (95% CI, 0.98 to 1.07). The results in MINDACT and Asian women from BCAC were consistent.ConclusionAn increased PRS313 is associated with favorable tumor characteristics, but is not independently associated with prognosis. Thus, PRS313 has no role in the clinical management of primary breast cancer at the time of diagnosis. Nevertheless, breast cancer mortality rates will be higher for women with higher PRS313 as increasing PRS313 is associated with an increased risk of disease. This information is crucial for modeling effective stratified screening programs.
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- 2023
232. Subsequent ischemic stroke and tobacco smoking: A secondary analysis of the POINT trial
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Lang, Adam Edward, de Havenon, Adam, Grory, Brian Mac, Henninger, Nils, Shu, Liqi, Furie, Karen L, Easton, J Donald, Kim, Anthony, Johnston, S Claiborne, and Yaghi, Shadi
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Epidemiology ,Biomedical and Clinical Sciences ,Health Sciences ,Prevention ,Neurosciences ,Stroke ,Tobacco Smoke and Health ,Brain Disorders ,Tobacco ,Clinical Research ,Cancer ,Good Health and Well Being ,Humans ,Aspirin ,Clopidogrel ,Hemorrhage ,Ischemic Attack ,Transient ,Ischemic Stroke ,Neoplasm Recurrence ,Local ,Platelet Aggregation Inhibitors ,Smoking ,Tobacco Smoking ,tobacco ,cigarettes ,stroke ,clopidogrel ,Cardiovascular medicine and haematology ,Public health - Abstract
BackgroundThe aim of this study was to determine the effect of smoking status on subsequent stroke risk in patients with minor ischemic stroke or TIA and to determine whether smoking modifies the effect of clopidogrel-based DAPT on subsequent stroke risk.MethodsThis was a post-hoc analysis of the Platelet Oriented Inhibition in New TIA and Minor Ischemic Stroke (POINT) trial, which had a 90-day follow-up period. We used multivariable Cox regression and subgroup interaction analysis to determine the effect of smoking on the risk of subsequent ischemic stroke and major hemorrhage, respectively.ResultsData from 4877 participants enrolled in the POINT trial were analyzed. Among these, 1004 were current smokers and 3873 were non-smokers at the time of index event. Smoking was associated with a non-significant trend toward an increased risk of subsequent ischemic stroke during follow up (adjusted HR, 1.31 (95% CI, 0.97-1.78), p = 0.076). The effect of clopidogrel on ischemic stroke did not differ between non-smokers (HR, 0.74 (95% CI, 0.56-0.98), p = 0.03) and smokers (HR, 0.63 (95% CI, 0.37-1.05), p = 0.078), p for interaction = 0.572. Similarly, the effect of clopidogrel on major hemorrhage did not differ between non-smokers (hazard ratio, 1.67 (95% CI, 0.40-7.00), p = 0.481) and smokers (HR, 2.59 (95% CI, 1.08-6.21), p = 0.032), p for interaction = 0.613.ConclusionsIn this post-hoc analysis of the POINT trial we found that the effect of clopidogrel on reducing subsequent ischemic stroke as well as risk of major hemorrhage did not depend on smoking status, indicating that smokers benefit to a similar degree from DAPT as non-smokers.
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- 2023
233. DOD's financial audit strategy: The way ahead
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Easton, Mark E., CAPT, Ret
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AUDITING ,FINANCE - Defense Dept - United States - Abstract
illus por
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- 2010
234. Trust, Because You Can't Verify: Privacy and Security Hurdles in Education Technology Acquisition Practices.
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Easton Kelso, Ananta Soneji, Sazzadur Rahaman, Yan Shoshitaishvili, and Rakibul Hasan 0001
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- 2024
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235. Modelling Individual Aesthetic Preferences of 3D Sculptures.
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Edward Easton, Ulysses Bernardet, and Anikó Ekárt
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- 2024
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236. Enzephalitiden
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Finke, Carsten, Easton, Ava, Frommelt, Peter, editor, Thöne-Otto, Angelika, editor, and Grötzbach, Holger, editor
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- 2024
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237. Closer to home: A study of equity-focused pre-k access and enrollment policies in Chicago
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Connors, Maia C., Ehrlich Loewe, Stacy B., Stein, Amanda G., Francis, John, Kabourek, Sarah, and Easton, John Q.
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- 2025
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238. Evaluating the need for standardised disease manifestation categories in patients infected with the tick-borne encephalitis virus: A Delphi panel
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Halsby, Kate, Dobler, Gerhard, Easton, Ava, Karelis, Guntis, Krbková, Lenka, Kyncl, Jan, Sellner, Johann, Strle, Franc, Veje, Malin, Zajkowska, Joanna, Zavadska, Dace, Angulo, Frederick J., Pilz, Andreas, Erber, Wilhelm, Gabriel, Meghan, Russo, Jon, Price, Mark, Madhava, Harish, and Meyding-Lamadé, Uta Katharina
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- 2025
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239. A Path to Equity: From Expanded Pre-Kindergarten Access to Success in Elementary School. Research Brief
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University of Chicago Consortium on School Research, NORC at the University of Chicago, Start Early, Connors, Maia C., Stein, Amanda G., Ehrlich, Stacy B., Francis, John, Kabourek, Sarah E., and Easton, John Q.
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In 2013-14, Chicago Public Schools (CPS), the nation's third-largest school district, implemented several changes to the policies governing its pre-kindergarten (pre-k) application and enrollment process. Two policy changes that were central to the school district's strategy focused on increasing access to full-day pre-k for high-priority student groups: (1) increasing the overall number of full-day pre-k classrooms within school buildings; and (2) intentionally placing those full-day pre-k classrooms in neighborhoods with a large proportion of age-eligible, high-priority children and historically low rates of enrollment in CPS pre-k. This research examines whether and how access--defined as the distance to the closest school with full-day school-based pre-k and the number of full-day pre-k classrooms near potential students' homes--was related to pre-k enrollment and ongoing learning outcomes in early elementary school. In other words: Does the geographic placement of full-day pre-k classrooms within a school district matter? In prior work, it was found that after these policy changes in Chicago, there were more equitable patterns of pre-k access and enrollment. This brief presents new findings: Geographic placement of full-day pre-k matters not only for more equitable pre-k access and enrollment, but also for academic outcomes in early elementary school. Students--especially in high-priority student groups--who were eligible to enroll in pre-k after the policy changes had higher math scores and grades in early elementary school than did students eligible for pre-k before the policy changes. These benefits are partly explained by the fact that Black students and those living in lowest-income neighborhoods lived closer to full-day school-based pre-k options post-policy, which in turn was related to increased enrollment in full-day pre-k, higher kindergarten entry skills, and ultimately better 2nd grade academic outcomes.
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- 2021
240. Productivity losses associated with Fetal Alcohol Spectrum Disorder in New Zealand
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Easton, Brian
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- 2016
241. Immunomodulatory therapy in children with paediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 (PIMS-TS, MIS-C; RECOVERY): a randomised, controlled, open-label, platform trial
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Faust, Saul N, Haynes, Richard, Jones, Christine E, Staplin, Natalie, Whittaker, Elizabeth, Jaki, Thomas, Juszczak, Ed, Spata, Enti, Wan, Mandy, Bamford, Alasdair, Dimitri, Paul, Finn, Adam, Furness, John, Ramanan, Athimalaipet V, Gale, Christopher, Cathie, Katrina, Drysdale, Simon, Bernatoniene, Jolanta, Murray, Clare, Roehr, Charles C, Fleming, Paul, Riordan, Andrew, Bandi, Srini, Jyothish, Deepthi, Evans, Jennifer, Emonts, Marieke, Kelly, Dominic, Pathan, Nazima, Davies, Patrick, Hague, Rosie, Pollock, Louisa, Semple, Malcolm G, Peto, Leon, Baillie, J Kenneth, Buch, Maya, Jeffery, Katie, Knight, Marian, Lim, Wei Shen, Montgomery, Alan, Mukherjee, Aparna, Mumford, Andrew, Rowan, Kathryn, Thwaites, Guy, Mafham, Marion, Emberson, Jonathan, Landray, Martin J, Horby, Peter W, Chappell, Lucy, Day, Jeremy, Dung, DV, Quang, NN, Binh, Prof, Burhan, E, Alisjahbana, B, Koirala, J, Basnet, S, Kestelyn, E, Basnyat, B, Gyanwali, P, Hamers, RL, Sandercock, P, Darbyshire, J, DeMets, D, Fowler, R, Lalloo, D, Munavvar, M, Roberts, I, Warris, A, Wittes, J, Craddock-Bamford, A, Barton, J, Basoglu, A, Brown, R, Brudlo, W, Denis, E, Fletcher, L, Howard, S, Musini, S, Taylor, K, Cui, G, Goodenough, B, King, A, Lay, M, Murray, D, Stevens, W, Wallendszus, K, Welsh, R, Crichton, C, Davies, J, Goldacre, R, Harper, C, Knight, F, Nunn, M, Salih, H, Welch, J, Campbell, M, Pessoa-Amorim, G, Zayed, M, Wiles, J, Bagley, G, Cameron, S, Chamberlain, S, Farrell, B, Freeman, H, Kennedy, A, Whitehouse, A, Wilkinson, S, Wood, C, Reith, C, Davies, K, Halls, H, Holland, L, Truell, R, Wilson, K, Lingwood, Emma, Howie, L, Lunn, M, Rodgers, Penelope, Amuasi, J, Baird, K, Bao, T, Bittaye, M, Bonney, J, D'Alessandro, U, Dhimal, M, Huyen, T, Jagne, A, Karkey, A, Maiga, O, Matey, E, Nadjm, B, Nel, J, Pant, S, Puspatriani, K, Rahardjani, M, Raijal, S, Rees, H, Rimainar, A, Roberts, C, Rocca, A, Shrestha, S, Usuf, E, Vidaillic, C, Wulandari, F, Alexander, A, Amezaga, M, Armah, C, Asghar, A, Aubrey, P, Barker-Williams, K, Barnard, A, Bartholomew, J, Beaumont-Jewell, D, Beddows, S, Beety, J, Birch, C, Boyle, P, Brend, M, Brookes, M, Callens, C, Campbell, D, Campbell, H, Cate, H, Chambers, E, Chapman, K, Coe, A, Collins, J, Crawshaw, S, Das, S, De Soyza, A, Denton, E, Dicks, P, Dolman, M, Donaldson, K, Dowden, L, Dowling, S, Drake, C, Duckles-Leech, H, Duffy, H, Gerdes, L, Gibbons, K, Gill, L, Gilmour, K, Goodwin, J, Graham, J, Green, C, Hall, C, Hall, A, Hampshire, K, Hanson, J, Harman, T, Harper, H, Harrison, S, Hicks, J, Hodgson, H, Hough, M, Jackson, S, Johnson, G, Kirk, J, Lemoine, N, Levett, C, Lock, S, Lockett, T, Logan, M, Lomme, K, Luo, J, McMillan, N, Membrey, H, Mguni, N, Minton, J, Monaghan, H, Murphy, S, Muzengi, N, Naz, M, Nickson, I, Odam, M, Ohia, U, Okell, E, Oliver, A, Pearson, K, Pine, K, Pleass, R, Porter, D, Porter, L, Potter, A, Poustie, V, Pratt, S, Price, A, Priest, A, Rodgers, A, Rook, C, Ryan, P, Sam, S, Sharratt, P, Sheffield, J, Shenton, J, Shirley, K, Skinner, T, Slade, H, Sutu, M, Taylor, J, Thomas, E, Tinkler, H, Unsworth, A, Usher, R, van't Hoff, W, Walker, S, Walters, J, Walton, E, Warmington, J, Wayman, E, Williams, P, Williamson, J, Williamson, D, Yelnoorkar, F, Knight, M, Hodson, K, Pavord, S, Williamson, C, Bowman, L, Chen, F, Clarke, R, Goonasekara, M, Herrington, W, Judge, P, Ng, S, Preiss, D, Sammons, E, Zhu, D, Arkley, C, Bowker, P, Bruce, J, Byrne-Watts, V, Chapman, G, Coleman, G, Denwood, T, Gray, J, Harrison, D, Mather, N, Pinches, H, Rees, A, Rees, S, Turner, G, Abani, O, Abbas, A, Abbas, F, Abbas, J, Abbas, K, Abbas, M, Abbasi, S, Abbass, H, Abbott, A, Abdallah, N, Abdelaziz, A, Abdelfattah, M, Abdelqader, B, Abdul, A, Abdul, B, Abdul, S, Abdul Rasheed, A, Abdulakeem, A, Abdul-Kadir, R, Abdullah, A, Abdulmumeen, A, Abdul-Raheem, R, Abdulshukkoor, N, Abdusamad, K, Abed El Khaleq, Y, Abedalla, M, Abeer Ul Amna, A, Abel, L, Abernethy, K, Abeywickrema, M, Abhinaya, C, Aboaba, A, Aboagye-Odei, A, Aboelela, H, Abo-Leyah, H, Abouelela, K, Abou-Haggar, A, Abouibrahim, M, Abousamra, A, Abouzaid, M, Abraham, M, Abraham, T, Abraheem, A, Abrams, J, Abrams, R, Abu, H, Abu-Arafeh, A, Abubacker, S, Abung, A, Abusamra, Y, Aceampong, Y, Achara, A, Acharya, D, Acheampong, S, Acheampong, P, Acheson, J, Achieng, S, Acosta, A, Acquah, R, Acton, C, Adabie-Ankrah, J, Adair, P, Adam, F, Adam, M, Adamali, H, Adamczyk, M, Adams, C, Adams, D, Adams, K, Adams, L, Adams, N, Adams, R, Adams, T, Adamu-Ikeme, L, Adati, K, Adcock, K, Addo, A, Adeagbo, O, Adebiyi, A, Adedeji, O, Adegeye, Y, Adegoke, K, Adell, V, Adenwalla, S, Adeoye, F, Adesemoye, O, Adewunmi, E, Adeyanju, A, Adeyemi, J, Adeyemo, T, Adhikary, R, Aditya, A, Adkins, G, Adnan, A, Aeron-Thomas, J, Affleck, D, Afnan, C, Afridi, M, Aftab, Z, Agarwal, M, Agbeko, R, Agbo, C, Aggarwal, S, Aghababaie, A, Aguilar Jimenez, L, Ahamed Sadiq, S, Ahammed Nazeer, M, Ahmed, A, Ahmed, B, Ahmed, F, Ahmed, H, Ahmed, I, Ahmed, K, Ahmed, L, Ahmad, M, Ahmed, N, Ahmed, O, Ahmed, R, Ahmad, S, Ahmed, S H, Ahmed Ali, R, Ahmed Mohamud, B, Ahmer, S, Ahonia, A, Aiken, C, Ail, D, Ainsworth, M, Aissa, M, Aitken, L, Ajay, B, Ajibode, A, Ajmi, A, Akhtar, N, Akili, S, Akinbiyi, B, Akindolie, O, Akinfenwa, Y, Akinkugbe, O, Akinpelu, I, Akram, M, Aktinade, O, Akudi, U, Al Aaraj, A, Al Balushi, A, Al Dakhola, M, Al Swaifi, A, Al-Abadi, E, Alabi, A, Aladangady, N, Alafifi, M, Alam, A, Alam, S, Al-Asadi, A, Alatzoglou, K, Albert, P, Albon, L, Alcala, A, Alcorn, G, Alcorn, S, Aldana, A, Alderdice, D, Aldesouki, A, Aldouri, R, Aldridge, J, Aldridge, N, Alegria, A, Alexander, C, Alexander, J, Alexander, P, Al-Fori, J, Alghazawi, L, Alhabsha, O, Al-Hakim, B, Alhameed, R, Al-Hayali, M, Al-Hity, S, Ali, A, Ali, F, Ali, J, Ali, M, Ali, N, Ali, O, Ali, R, Ali, S, Aliberti, E, Alin, J, Alina, A, Alipustain, A, Aliyuda, F, Alizaedeh, K, Al-Jibury, M, Al-Juboori, S, Al-Khalil, M, Alkhudhayri, A, Alkhusheh, M, Allan, F, Allan, N, Allanson, A, Allcock, R, Allen, E, Allen, J, Allen, K, Allen, L, Allen, P, Allen, R, Allen, S, Allen, T, Alli, A, Allison, K, Allman, B, Allsup, D, Allsop, H, Allsop, L, Almahroos, A, Al-Moasseb, H, Al-Obaidi, M, Alomari, L, Al-Rabahi, A, Al-Ramadhani, B, Al-Saadi, Z, Al-Sammarraie, R, Alshaer, I, Al-Shahi Salman, R, Al-Shamkhani, W, Alsheikh, F, Al-Sheklly, B, Altaf, S, Alty, A, Alvarez, M, Alvarez Corral, M, Alveyn, E, Alzetani, M, Amamou, S, Amar, N, Ambalavanan, S, Ambrogetti, R, Ambrose, C, Ameen, A, Ames, K, Amin, A, Amin, K, Amin, S, Amin, T, Amit, B, Amjad, A, Amjad, N, Amosun, V, Amsal, M, Amsha, K, Amutio Martin, N, Amy, P, Anada, A, Anand, A, Anandappa, S, Anantapatnaikuni, S, Anderson, E, Anderson, J, Anderson, L, Anderson, M, Anderson, N, Anderson, R, Anderson, S, Anderson, W, Andreou, P, Andrews, A, Andrews, J, Aneke, K, Ang, A, Ang, W, Angel, T, Angela, A, Angelini, P, Anguvaa, L, Anichtchik, O, Anim-Somuah, M, Aniruddhan, K, Annett, J, Anning, L, Anstey, P, Anstey, R, Anthony, A, Anthony-Pillai, A, Antill, P, Antonnia, Z, Anu, V, Anwar, M, Apetri, E, Apostolopoulos, A, Appleby, S, Appleyard, D, Aquino, M, Araba, B, Aransiola, S, Araujo, M, Archer, A, Archer, D, Archer, S, Arcoria, D, Ardley, C, Arias, A, Aribike, O, Arimoto, R, Armata, I, Armistead, J, Armitage, A, Armstrong, C, Armstrong, M, Armstrong, S, Armstrong, W, Armtrong, P, Arndt, H, Arnison-Newgass, C, Arnold, D, Arnold, R, Arnott, A, Arora, D, Arora, R, Arora, K, Arora, P, Arter, A, Arumaithurai, A, Arya, A, Arya, R, Asandei, D, Asghar, M, Ashab, M, Ashbrook-Raby, C, Ashby, H, Ashcroft, J, Ashcroft, S, Asher, G, Ashfak, Z, Ashfaq, A, Ashish, A, Ashley, D, Ashman-Flavell, S, Ashok, S, Ashour, A, Ashraf, S, Ashraf, M, Ashraq, M, Ashton, D, Ashton, S, Ashworth, A, Ashworth, F, Ashworth, R, Aslam, A, Aslam, I, Aslam, S, Aslett, L, Asogan, H, Asrar, A, Assaf, O, Astin-Chamberlain, R, Athorne, D, Atkins, B, Atkins, C, Atkins, S, Atkinson, J, Atkinson, V, Atomode, A, Atraskiewicz, B, Attia, A, Attubato, E, Attwood, M, Auer, Z, Aujayeb, A, Aung, A, Aung, H, Aung, K, Aung, N, Aung, Y, Aung, Z, Austin, E, Austin, K, Auwal, A, Avari, M, Avery, M, Aveyard, N, Avis, J, Aviss, G, Avram, C, Avram, P, Awadelkareem, A, Awadzi, G, Awaly, M, Awan, A, Awoseyila, A, Aya, A, Ayaz, E, Ayers, A, Azam, J, Azeem, A, Azharuddin, M, Aziz, A, Aziz, G, Aziz, I, Aziz, N, Azkoul, A, Azman Shah, A, Azzopardi, G, Azzoug, H, Babatunde, F, Babi, M, Babiker, B, Babington, G, Babirecki, M, Babores, M, Babs-Osibodu, A, Bacciarelli, S, Bachar, R, Bachour, M, Bacon, G, Bacon, J, Badal, B, Bader, M, Badhan, G, Badhrinarayanan, S, Bae, J, Baggaley, A, Baggott, A, Bagmane, D, Bagshaw, L, Bahadori, K, Bailey, A, Bailey, J, Bailey, K, Bailey, L, Bailey, M, Bailey, P, Bailey, S, Baillie, H, Baillie, J, Bain, J, Bains, V, Baird, D, Baird, E, Baird, S, Baird, T, Baird, Y, Bajandouh, A, Baker, D, Baker, E, Baker, J, Baker, K, Baker, M, Baker, R, Baker, T, Baker, V, Bakere, H, Bakerly, N, Baker-Moffatt, M, Bakhai, A, Bakhtiar, N, Bakoulas, P, Bakthavatsalam, D, Balachandran, N, Balan, A, Balasingam, P, Balaskas, T, Balasubramania, M, Balatoni, N, Balcombe, A, Baldwin, A, Baldwin, C, Baldwin, D, Baldwin, F, Baldwin-Jones, R, Bale, N, Balfour, J, Ball, R, Ball, M, Ballard, K, Balluz, I, Balmforth, C, Balogh, E, Baltmr, A, Baluwala, A, Bambridge, G, Bamford, P, Bamford, A, Bamgboye, A, Bancroft, H, Bancroft, E, Banda, J, Bandaru, K, Bandla, N, Bandyopadhyam, S, Banerjee, A, Banerjee, R, Bani-Saad, O, Banks, H, Banks, L, Banks, P, Bann, C, Bannister, H, Bannister, O, Banton, L, Baptist, M, Baqai, T, Baral, A, Baramova, D, Barbe, R, Barbon, E, Barbosa, M, Barbour, J, Barclay, A, Barclay, C, Bardsley, G, Bareford, S, Bari, S, Barker, A, Barker, D, Barker, E, Barker, H, Barker, J, Barker, L, Barker, O, Barkha, S, Barla, J, Barlow, G, Barlow, R, Barlow, V, Barnacle, J, Barnes, D, Barnes, N, Barnes, R, Barnes, T, Barnetson, C, Barnett, A, Barnett-Vanes, A, Barnsley, W, Barr, A, Barr, C, Barr, D, Barr, J, Barratt, N, Barratt, S, Barrera, M, Barrett, A, Barrett, F, 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Stockdale, A, Stocker, D, Stockham, L, Stockton, P, Stoddard, E, Stokes, C, Stone, B, Stone, R, Stone, S, Storey, I, Storton, K, Stourton, F, Strachan, A, Strait, C, Stratton, E, Stratton, J, Straw, S, Streit, D, Stride, E, Stringer, S, Strong-Sheldrake, S, Struik, S, Stuart, C, Stubbs, A, Stubbs, H, Sturdy, A, Sturney, S, Stuttard, M, Suarez, C, Subba, K, Subbe, C, Subramaniam, K, Subramanian, M, Subramanian, V, Subudhi, C, Suckling, R, Sudershan, S, Sugden, P, Sukla, R, Sukumara, A, Suleiman, E, Suliman, A, Suliman, F, Sultan, S, Sundar, S, Sundaram, R, Sundhar, R, Sung, E, Sunni, N, Suntharalingam, J, Sur, A, Suresh, D, Suresh, N, Suresh, S, Surtees, M, Susan, C, Suter, D, Suthar, R, Sutherland, H, Sutherland, R, Sutherland, S, Sutinyte, D, Sutton, D, Sutton, S, Svensson, M, Svirpliene, S, Swain, A, Swain, R, Swaine, T, Swales, C, Swanson-Low, C, Swart, T, Sweetman, S, Swift, E, Swift, P, Swift, R, Swingler, R, Swinhoe, S, Swist-Szulik, K, Swithenbank, L, Syed, O, Sykes, C, Sykes, D, Sykes, E, Sylvester, L, Symington, D, Symon, D, Syndercombe, A, Syrimi, Z, Syson, J, Szabo, G, Szabó, D, Szakmany, T, Szarazova, N, Szekely, M, Szekeres, A, Szeto, M, Szymiczek, K, Tadros, M, Tageldin, A, Tague, L, Tahir, H, Tahir, M, Tai, M, Tait, J, Takyi, A, Talbot, P, Talbot -Smith, A, Talbot-Ponsonby, J, Tallent, R, Tallon, B, Tan, A, Tan, B, Tan, H, Tan, J, Tan, K, Tan, W, Tana, A, Tanner, A, Tanney, C, Tanqueray, T, Tanton, E, Tanzil-Al-Imran, T, Tarft, H, Taribagil, P, Tarin, O, Tariq, S, Tarpey, D, Tarr, E, Tarrant, L, Tasiou, A, Tate, A, Tate, M, Tate, P, Tatham, K, Tavares, S, Tavoukjian, V, Taylor, A, Taylor, B, Taylor, C, Taylor, D, Taylor, E, Taylor, H, Taylor, L, Taylor, M, Taylor, N, Taylor, R, Taylor, S, Taylor, T, Taylor, V, Taylor-Siddons, M, Taynton, T, Te, A, Teasdale, F, Teasdale, J, Teasdale, K, Tebbutt, J, Tee, C, Teeluck, I, Tejero Moya, B, Tejwani, R, Telfer, A, Teli, V, Tempany, J, Temple, J, Temple, N, Tench, H, Teoh, Y, Tereszkowski-Kaminski, R, Terrett, L, Terry, L, Tetla, D, Tewari, S, Tewkesbury, D, Texeira, J, Tey, C, Thake, M, Thakker, C, Thakker, M, Thakrar, J, Thamu, B, Thatcher, H, Thayanandan, A, Thazhatheyil, K, Thein, E, Theocharidou, L, Thet, P, Thevarajah, K, Thevendra, M, Thiri Phoo, N, Thirlwall, Y, Thirumaran, M, Thomas, A, Thomas, C, Thomas, H, Thomas, J, Thomas, K, Thomas, L, Thomas, R, Thomas, S, Thomas, T, Thomas, V, Thomasson, K, Thomas-Turner, R, Thompson, C, Thompson, E, Thompson, F, Thompson, H, Thompson, J, Thompson, K, Thompson, L, Thompson, M, Thompson, O, Thompson, R, Thompson, Y, Thomson, N, Thorburn, P, Thorn, N, Thorne, C, Thorne, N, Thornton, A, Thornton, D, Thornton, J, Thornton, R, Thornton, S, Thornton, T, Thorpe, S, Thorpe, C, Thorpe, N, Thozthumparambil, P, Thrasyvoulou, L, Thraves, H, Thueux, G, Thu-Ta, P, Thwaiotes, V, Tiberi, S, Tieger, S, Tierney, C, Tighe, M, Tilbey, S, Till, C, Tiller, A, Tiller, H, Timerick, J, Timlick, E, Timmins, A, Timmis, A, Timms, H, Timoroksa, A, Tinashe, S, Tingley, S, Tinker, N, Tinkler, M, Tipper, J, Tirumalai Adisesh, A, Tivenan, H, Tluchowska, K, T-Michael, H, Todd, A, Todd, J, Todd, S, Toffoletti, O, Tohfa, M, Tohill, S, Tolson, M, Tomasova, N, Tomlin, S, Tomlins, S, Tomlinson, J, Tomlinson, K, Tonkin, J, Tonna, I, Toohey, C, Topham, K, Topping, M, Torokwa, A, Torrance, C, Touma, O, Tous Sampol, L, Tousis, R, Tout, M, Tovey, P, Towersey, G, Townley, J, Tozer, R, Tran, M, Tranter, H, Travers, J, Travill, C, Traynor, S, Trethowan, L, Treus Gude, E, Trevelyan, M, Trewick, N, Tridente, A, Triggs, S, Trim, F, Trimmings, A, Trinick, T, Trivedi, K, Troedson, S, Tropman, E, Trotter, A, Trous, S, Trower, H, Trowsdale Stannard, M, Trudgill, N, Truman, N, Truslove, M, Trussell, S, Trussell, T, Tsakiridou, K, Tsang, C, Tsang, P, Tsawayo, T, Tsilimpari, K, Tsinaslanidis, G, Tso, S, Tucker, S, Tucker, N, Tudor, D, Tufail, A, Tuff, J, Tuffney, J, Tully, R, Tunesi, G, Turbitt, K, Turel, R, Turgut, T, Turley, C, Turnbull, A, Turner, A, Turner, C, Turner, K, Turner, L, Turner, M, Turner, P, Turner, S, Turner, V, Turner-bone, I, Turney, S, Turvey, J, Tweed, C, Tweed, D, Twemlow, R, Twohey, E, Tyagi, B, Tyagi, V, Tyer, A, Tyler, A, Tyler, J, Tyzack, A, Tzavaras, P, Tzinieris, I, Uddin, A, Uddin, M, Uddin, R, Ugoji, J, Ukaegbu, E, Ul Haq, M, Ul Hassan, W, Ul-Haq, Z, Ullah, S, Um, J, Umaipalan, A, Umate, A, Umeadi, J, Umeh, A, Umeojiako, W, Ummat, B, Underhill, E, Underwood, C, Underwood, J, Uppal, V, Upson, G, Ur Rasool, M, Uriel, A, Urruela, S, Uru, H, Usher, J, Usher, M, Usher-Rea, A, Ustianowski, A, Uzu, H, Vaccari, L, Vaghela, U, Vaidya, A, Vail, D, Valecka, B, Valentine, J, Valeria, B, Vallabhaneni, P, Vallotton, N, Vamplew, L, Vamvakiti, E, Vamvakopoulos, J, van Bruggen, L, van de Venne, M, van der Meer, A, van der Stelt, N, van Koutrik, L, Van Loggerenberg, A, Vance-Daniel, J, Vancheeswaran, R, Vandeyoon, S, Vankayalapati, P, Vanmali, P, Vansomeren, C, Vara, S, Vardy, S, Varghese, A, Varghese, M, Varney, W, Varnier, G, Varouxaki, A, Varquez, R, Vasadi, V, Vassell, K, Vassell, O, Vasu, V, Vasudevan, V, Vatish, M, Vaughan, S, Vayalaman, H, Vayapooree, D, Vaz, C, Veale, N, Veerasamy, S, Velankar, S, Velauthar, L, Veli, N, Vella, N, Velugupati, A, Velusamy, A, Venables, I, Venditti, M, Venkataramakrishnan, R, Venn, R, Ventilacion, L, Vere, J, Veres, M, Vergnano, S, Verling, W, Verma, A, Vernall, R, Vernon, B, Vertue, M, Verueco, L, Verula, J, Vethanayagam, N, Vettikumaran, S, Veys, L, Vickers, C, Victor, S, Victoria, S, Vidler, J, Vijayakumar, B, Vijayaraghavan Nalini, V, Vilcinskaite, B, Vileito, A, Vilimiene, N, Vinall, L, Vinay, S, Vinayakarao, L, Vincent, O, Vincent, R, Virdee, P, Virgilio, E, Virk, A, Visentin, E, Vitaglione, M, Vithian, K, Vittoria, S, Vivekananthan, S, Vlad, E, Vlies, B, von Oven, L, Vooght, C, Vutipongsatorn, K, Vuylsteke, A, Vyras, E, W Hay, A, Wach, R, Wadams, B, Wadd, S, Waddington, N, Wade, P, Wadsley, J, Wadsworth, K, Wafa, S, Wagstaff, D, Wagstaff, L, Wahab, D, Wahbi, Z, Waheed Adigun, A, Waidyanatha, S, Waite, A, Wake, R, Wakefield, A, Wakeford, W, Wakinshaw, F, Waldeck, E, Walden, A, Walding, L, Waldron, A, Waldron, J, Wales, E, Wali, B, Walker, D, Walker, G, Walker, H, Walker, I, Walker, K, Walker, L, Walker, O, Walker, R, Wallace, G, Wallbutton, R, Wallen, J, Waller, A, Waller, R, Wallis, G, Wallis, L, Wallis, M, Walmsley, E, Walsh, D, Walsh, E, Walsh, L, Walstow, D, Walter, D, Walters, A, Walters, H, Walton, L, Walton, M, Walton, O, Walton, S, Wands, M, Wane, R, Wang, F, Wang, N, Wang, R, Wang, S, Warbrick, D, Warburton, S, Ward, C, Ward, D, Ward, E, Ward, H, Ward, J, Ward, L, Ward, N, Ward, R, Ward, T, Warden, S, Wardere, G, Wardle, S, Wardy, H, Waring, G, Waring, S, Warner, B, Warner, C, Warnock, L, Warran, S, Warren, J, Warren, L, Warren, R, Warren, Y, Warrender, D, Warren-Miell, H, Warwick, G, Wassall, H, Wasson, E, Wastson, E, Watchorn, H, Waterfall, H, Waters, A, Waters, D, Waterstone, M, Watkin, A, Watkins, C, Watkins, E, Watkins, K, Watkins, L, Watson, A, Watson, E, Watson, F, Watson, J, Watson, K, Watson, L, Watson, P, Watson, R, Watters, M, Watterson, D, Watts, D, Watts, J, Watts, M, Waugh, V, Wayman, M, Wazir, A, Weatherhead, M, Weatherly, N, Webb, C, Webb, H, Webb, K, Webb, S, Websdale, C, Webster, D, Webster, I, Webster, J, Webster, T, Wedlin, J, Wee, L, Weerakoon, R, Weerasinghe, T, Weeratunga, J, Weetman, M, Wei, S, Weichert, I, Welch, E, Welch, H, Welch, L, Welch, S, Welham, B, Weller, S, Wellings, L, Wells, B, Wellstead, S, Welsh, B, Welters, I, Welton, R, Wenn, V, Wentworth, L, Wesonga, J, Wesseldine, K, West, J, West, M, West, R, West, S, Western, L, Westhead, R, Weston, H, Westwood, A, Westwood, K, Westwood, S, Wetherill, B, Wheaver, S, Wheeler, H, Whelan, B, Whelband, M, Whileman, A, Whitcher, A, White, A, White, B, White, C, White, D, White, J, White, K, White, M, White, N, White, S, White, T, Whitehead, C, Whitehorn, K, Whitehouse, C, Whitehouse, T, Whiteley, J, Whiteley, L, Whiteley, S, Whitham, R, Whitlingum, G, Whitmore, D, Whittam, L, Whittington, A, Whittle, H, Whittle, R, Wiafe, E, Wiblin, L, Wickens, O, Widdrington, J, Wieboldt, J, Wieringa, H, Wiesender, C, Wiffen, L, Wight, A, Wignall, A, Wignall, C, Wilce, A, Wilcock, D, Wilcock, E, Wilcox, L, Wild, B, Wild, L, Wild, S, Wilde, M, Wilding, L, Wilding, P, Wildsmith, T, Wileman, J, Wiles, K, Wilhelmsen, E, Wiliams, T, Wilkie, J, Wilkin, D, Wilkins, H, Wilkins, J, Wilkins, S, Wilkinson, I, Wilkinson, L, Wilkinson, N, Wilkinson, T, Willetts, S, Williams, A, Williams, C, Williams, D, Williams, E, Williams, G, Williams, H, Williams, J, Williams, K, Williams, M, Williams, R, Williams, S, Williams, T, Williamson, A, Williamson, H, Williamson, R, Willis, E, Willis, H, Willis, J, Wills, L, Willsher, L, Willshire, C, Wilson, A, Wilson, B, Wilson, D, Willson, F, Wilson, I, Willson, J, Wilson, K-A, Wilson, L, Wilson, M, Wilson, T, Win, K, Win, M, Win, T, Win, W, Winckworth, L, Winder, L, Winder, P, Winearl, S, Winmill, H, Winn, S, Winpenny, C, Winslow, H, Winter, H, Winter, J, Winter-Goodwin, B, Winterton, J, Winwood, H, Wischhusen, J, Wisdom, S, Wise, M, Wiselka, M, Wiseman, R, Wiseman, S, Wishart, S, Wishlade, T, Witele, E, Withers, N, Wixted, D, Wodehouse, T, Wolf, W, Wolff, N, Wolffsohn, K, Wolf-Roberts, R, Wolodimeroff, E, Wolstencroft, A, Wong, A, Wong, C, Wong, C H, Wong, E, Wong, J, Wong, K, Wong, M, Wong, N, Wong, S, Wong, T, Wood, A, Wood, D, Wood, F, Wood, G, Wood, H, Wood, J, Wood, L, Wood, M, Wood, S, Wood, T, Woodall, K, Woodfield, R, Woodford, C, Woodford, E, Woodford, J, Woodhead, L, Woodhead, T, Woodland, P, Woodman, M, Woodmansey, S, Woods, C, Woods, J, Woods, K, Woods, S, Woodward, Z, Woolcock, M, Wooldridge, G, Woolf, R, Woollard, C, Woollen, L, Woolley, E, Woolley, J, Woosey, D, Wootton, D, Wootton, J, Worley, D, Worton, S, Wraight, J, Wray, M, Wren, K, Wren, L, Wrey Brown, C, Wright, C, Wright, D, Wright, F, Wright, H, Wright, I, Wright, L, Wright, R, Wright, S, Wright, T, Wroe, C, Wroe, H, Wu, H, Wu, P, Wubetu, J, Wulandari, R, Wurie, S, Wyatt, C, Wyn-Griffiths, F, Wynter, I, Xavier, B, Xhikola, A, Xia, B, Xia, Z, Y Ellis, T, Yacoba, E, Yakubi, M, Yan, M, Yanagisawa, Y, Yang, F, Yang, Y, Yanney, M, Yap, W, Yaqoob, N, Yasmin, S, Yates, B, Yates, D, Yates, E, Yates, H, Yates, M, Yates, T, Ye, J, Yearwood Martin, C, Yein, K, Yeoh, A, Yeung, C, Yew, P, Yewatkar, D, Ylquimiche Melly, L, Ynter, I, Yong, H, Yorke, J, Youens, J, Younes Ibrahim, A, Young, E, Young, G, Young, L, Yousafzar, A, Youssouf, S, Yousuf, A, Yu, C, Yuan, J, Yung, B, Yusef, D, Yusef, S, Yusuf, I, Zafar, A-M, Zagalo, S, Zaher, S, Zahoor, A, Zainab, M, Zak, T, Zaki, K, Zakir, N, Zalewska, K, Zamalloa, A, Zaman, M, Zaman, S, Zamikula, J, Zammit, L, Zammit-Mangion, M, Zawadzka, M, Zebracki, E, Zehnder, D, Zeidan, L, Zeinali, D, Zhang, J, Zhao, X, Zheng, D, Zia, M, Zibdeh, O, Zill-E-Huma, R, Zin, E, Zincone, E, Zindoga, G, Zinkin, E, Zinyemba, V, Zipitis, C, Zitter, L, Zmierczak, A, Zubikarai, G, Zubir, A, Zuhra, N, Zulaikha, R, Zulfikar, S, Zullo, C, and Zuriaga-Alvaro, A
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- 2024
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242. Measuring the price of Australian water
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Easton, Steve and Pinder, Sean
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- 2022
243. Correction: Improving the communication of multifactorial cancer risk assessment results for different audiences: a co-design process
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Donoso, Francisca Stutzin, Carver, Tim, Ficorella, Lorenzo, Fennell, Nichola, Antoniou, Antonis C., Easton, Douglas F., Tischkowitz, Marc, Walter, Fiona M., Usher-Smith, Juliet A., and Archer, Stephanie
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- 2024
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244. Microbiome assembly and maintenance across the lifespan of bumble bee workers
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Hammer, Tobin J, Easton‐Calabria, August, and Moran, Nancy A
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Microbiology ,Biological Sciences ,Ecology ,Clinical Research ,Genetics ,Aging ,Human Genome ,1.1 Normal biological development and functioning ,Underpinning research ,Humans ,Bees ,Animals ,Longevity ,RNA ,Ribosomal ,16S ,Microbiota ,Gastrointestinal Microbiome ,Bacteria ,ageing ,Bombus ,gut microbiota ,immunity ,senescence ,temporal dynamics ,Bombus ,Evolutionary Biology ,Biological sciences - Abstract
How a host's microbiome changes over its lifespan can influence development and ageing. As these temporal patterns have only been described in detail for a handful of hosts, an important next step is to compare microbiome succession more broadly and investigate why it varies. Here we characterize the temporal dynamics and stability of the bumble bee worker gut microbiome. Bumble bees have simple and host-specific gut microbiomes, and their microbial dynamics may influence health and pollination services. We used 16S rRNA gene sequencing, quantitative PCR and metagenomics to characterize gut microbiomes over the lifespan of Bombus impatiens workers. We also sequenced gut transcriptomes to examine host factors that may control the microbiome. At the community level, microbiome assembly is highly predictable and similar to patterns of primary succession observed in the human gut. However, at the strain level, partitioning of bacterial variants among colonies suggests stochastic colonization events similar to those observed in flies and nematodes. We also find strong differences in temporal dynamics among symbiont species, suggesting ecological differences among microbiome members in colonization and persistence. Finally, we show that both the gut microbiome and host transcriptome-including expression of key immunity genes-stabilize, as opposed to senesce, with age. We suggest that in highly social groups such as bumble bees, maintenance of both microbiomes and immunity contribute to inclusive fitness, and thus remain under selection even in old age. Our findings provide a foundation for exploring the mechanisms and functional outcomes of bee microbiome succession.
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- 2023
245. Etiology of oncogenic fusions in 5,190 childhood cancers and its clinical and therapeutic implication
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Liu, Yanling, Klein, Jonathon, Bajpai, Richa, Dong, Li, Tran, Quang, Kolekar, Pandurang, Smith, Jenny L, Ries, Rhonda E, Huang, Benjamin J, Wang, Yi-Cheng, Alonzo, Todd A, Tian, Liqing, Mulder, Heather L, Shaw, Timothy I, Ma, Jing, Walsh, Michael P, Song, Guangchun, Westover, Tamara, Autry, Robert J, Gout, Alexander M, Wheeler, David A, Wan, Shibiao, Wu, Gang, Yang, Jun J, Evans, William E, Loh, Mignon, Easton, John, Zhang, Jinghui, Klco, Jeffery M, Meshinchi, Soheil, Brown, Patrick A, Pruett-Miller, Shondra M, and Ma, Xiaotu
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Biological Sciences ,Bioinformatics and Computational Biology ,Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Genetics ,Human Genome ,Biotechnology ,Pediatric Research Initiative ,Pediatric Cancer ,Rare Diseases ,Cancer ,Pediatric ,5.1 Pharmaceuticals ,Development of treatments and therapeutic interventions ,Aetiology ,2.1 Biological and endogenous factors ,Humans ,Child ,Core Binding Factor Alpha 2 Subunit ,Oncogene Fusion ,Precursor Cell Lymphoblastic Leukemia-Lymphoma ,Transcriptome ,Causality ,Oncogene Proteins ,Fusion - Abstract
Oncogenic fusions formed through chromosomal rearrangements are hallmarks of childhood cancer that define cancer subtype, predict outcome, persist through treatment, and can be ideal therapeutic targets. However, mechanistic understanding of the etiology of oncogenic fusions remains elusive. Here we report a comprehensive detection of 272 oncogenic fusion gene pairs by using tumor transcriptome sequencing data from 5190 childhood cancer patients. We identify diverse factors, including translation frame, protein domain, splicing, and gene length, that shape the formation of oncogenic fusions. Our mathematical modeling reveals a strong link between differential selection pressure and clinical outcome in CBFB-MYH11. We discover 4 oncogenic fusions, including RUNX1-RUNX1T1, TCF3-PBX1, CBFA2T3-GLIS2, and KMT2A-AFDN, with promoter-hijacking-like features that may offer alternative strategies for therapeutic targeting. We uncover extensive alternative splicing in oncogenic fusions including KMT2A-MLLT3, KMT2A-MLLT10, C11orf95-RELA, NUP98-NSD1, KMT2A-AFDN and ETV6-RUNX1. We discover neo splice sites in 18 oncogenic fusion gene pairs and demonstrate that such splice sites confer therapeutic vulnerability for etiology-based genome editing. Our study reveals general principles on the etiology of oncogenic fusions in childhood cancer and suggests profound clinical implications including etiology-based risk stratification and genome-editing-based therapeutics.
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- 2023
246. Unravelling crack tip damage mechanisms: In-situ tensile assessment of Al-6Zn-2.1 Mg-2Cu alloy strengthened by Ti, Zr, and Sc micro-alloying
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Mukherjee, Diya, Tiwari, Yoshit, E, Chandrasekar, Mandal, Nilrudra, Qiu, Dong, Mukherjee, Manidipto, Easton, Mark A., and Roy, Himadri
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- 2024
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247. Distinct Reproductive Risk Profiles for Intrinsic-Like Breast Cancer Subtypes: Pooled Analysis of Population-Based Studies
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Jung, Audrey Y, Ahearn, Thomas U, Behrens, Sabine, Middha, Pooja, Bolla, Manjeet K, Wang, Qin, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Freeman, Laura E Beane, Becher, Heiko, Brenner, Hermann, Canzian, Federico, Carey, Lisa A, Consortium, CTS, Czene, Kamila, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Figueroa, Jonine D, Fritschi, Lin, Gabrielson, Marike, Giles, Graham G, Guénel, Pascal, Hadjisavvas, Andreas, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hoppe, Reiner, Hopper, John L, Howell, Anthony, Hunter, David J, Hüsing, Anika, Kaaks, Rudolf, Kosma, Veli-Matti, Koutros, Stella, Kraft, Peter, Lacey, James V, Le Marchand, Loic, Lissowska, Jolanta, Loizidou, Maria A, Mannermaa, Arto, Maurer, Tabea, Murphy, Rachel A, Olshan, Andrew F, Olsson, Håkan, Patel, Alpa V, Perou, Charles M, Rennert, Gad, Shibli, Rana, Shu, Xiao-Ou, Southey, Melissa C, Stone, Jennifer, Tamimi, Rulla M, Teras, Lauren R, Troester, Melissa A, Truong, Thérèse, Vachon, Celine M, Wang, Sophia S, Wolk, Alicja, Wu, Anna H, Yang, Xiaohong R, Zheng, Wei, Dunning, Alison M, Pharoah, Paul DP, Easton, Douglas F, Milne, Roger L, Chatterjee, Nilanjan, Schmidt, Marjanka K, García-Closas, Montserrat, and Chang-Claude, Jenny
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Aging ,Cancer ,Clinical Research ,Women's Health ,Breast Cancer ,4.1 Discovery and preclinical testing of markers and technologies ,Female ,Humans ,Breast Neoplasms ,Receptor ,ErbB-2 ,Receptors ,Progesterone ,Receptors ,Estrogen ,Triple Negative Breast Neoplasms ,Case-Control Studies ,Risk Factors ,Biomarkers ,Tumor ,CTS Consortium ,Receptor ,erbB-2 ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
BackgroundReproductive factors have been shown to be differentially associated with risk of estrogen receptor (ER)-positive and ER-negative breast cancer. However, their associations with intrinsic-like subtypes are less clear.MethodsAnalyses included up to 23 353 cases and 71 072 controls pooled from 31 population-based case-control or cohort studies in the Breast Cancer Association Consortium across 16 countries on 4 continents. Polytomous logistic regression was used to estimate the association between reproductive factors and risk of breast cancer by intrinsic-like subtypes (luminal A-like, luminal B-like, luminal B-HER2-like, HER2-enriched-like, and triple-negative breast cancer) and by invasiveness. All statistical tests were 2-sided.ResultsCompared with nulliparous women, parous women had a lower risk of luminal A-like, luminal B-like, luminal B-HER2-like, and HER2-enriched-like disease. This association was apparent only after approximately 10 years since last birth and became stronger with increasing time (odds ratio [OR] = 0.59, 95% confidence interval [CI] = 0.49 to 0.71; and OR = 0.36, 95% CI = 0.28 to 0.46 for multiparous women with luminal A-like tumors 20 to less than 25 years after last birth and 45 to less than 50 years after last birth, respectively). In contrast, parous women had a higher risk of triple-negative breast cancer right after their last birth (for multiparous women: OR = 3.12, 95% CI = 2.02 to 4.83) that was attenuated with time but persisted for decades (OR = 1.03, 95% CI = 0.79 to 1.34, for multiparous women 25 to less than 30 years after last birth). Older age at first birth (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) and breastfeeding (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) were associated with lower risk of triple-negative breast cancer but not with other disease subtypes. Younger age at menarche was associated with higher risk of all subtypes; older age at menopause was associated with higher risk of luminal A-like but not triple-negative breast cancer. Associations for in situ tumors were similar to luminal A-like.ConclusionsThis large and comprehensive study demonstrates a distinct reproductive risk factor profile for triple-negative breast cancer compared with other subtypes, with implications for the understanding of disease etiology and risk prediction.
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- 2022
248. 2022 taxonomic update of phylum Negarnaviricota (Riboviria: Orthornavirae), including the large orders Bunyavirales and Mononegavirales.
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Bukreyev, Alexander, Burt, Felicity, Büttner, Carmen, Calisher, Charles, Candresse, Thierry, Carson, Jeremy, Casas, Inmaculada, Chandran, Kartik, Charrel, Rémi, Chiaki, Yuya, Crane, Anya, Crane, Mark, Dacheux, Laurent, Bó, Elena, de la Torre, Juan, de Lamballerie, Xavier, de Souza, William, de Swart, Rik, Dheilly, Nolwenn, Di Paola, Nicholas, Di Serio, Francesco, Dietzgen, Ralf, Digiaro, Michele, Drexler, J, Duprex, W, Dürrwald, Ralf, Easton, Andrew, Elbeaino, Toufic, Ergünay, Koray, Feng, Guozhong, Feuvrier, Claudette, Firth, Andrew, Fooks, Anthony, Formenty, Pierre, Freitas-Astúa, Juliana, Gago-Zachert, Selma, García, María, García-Sastre, Adolfo, Garrison, Aura, Godwin, Scott, Gonzalez, Jean-Paul, de Bellocq, Joëlle, Griffiths, Anthony, Groschup, Martin, Günther, Stephan, Hammond, John, Hepojoki, Jussi, Hierweger, Melanie, Hongō, Seiji, Horie, Masayuki, Horikawa, Hidenori, Hughes, Holly, Hume, Adam, Hyndman, Timothy, Jiāng, Dàohóng, Jonson, Gilda, Junglen, Sandra, Kadono, Fujio, Karlin, David, Klempa, Boris, Klingström, Jonas, Koch, Michel, Kondō, Hideki, Koonin, Eugene, Krásová, Jarmila, Krupovic, Mart, Kubota, Kenji, Kuzmin, Ivan, Laenen, Lies, Lambert, Amy, Lǐ, Jiànróng, Li, Jun-Min, Lieffrig, François, Lukashevich, Igor, Luo, Dongsheng, Maes, Piet, Marklewitz, Marco, Marshall, Sergio, Marzano, Shin-Yi, McCauley, John, Mirazimi, Ali, Mohr, Peter, Moody, Nick, Morita, Yasuaki, Morrison, Richard, Mühlberger, Elke, Naidu, Rayapati, Natsuaki, Tomohide, Navarro, José, Neriya, Yutaro, Netesov, Sergey, Neumann, Gabriele, Nowotny, Norbert, Ochoa-Corona, Francisco, Palacios, Gustavo, Pallandre, Laurane, Pallás, Vicente, Papa, Anna, Paraskevopoulou, Sofia, and Parrish, Colin
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Humans ,Mononegavirales ,Phylogeny ,Viruses - Abstract
In March 2022, following the annual International Committee on Taxonomy of Viruses (ICTV) ratification vote on newly proposed taxa, the phylum Negarnaviricota was amended and emended. The phylum was expanded by two new families (bunyaviral Discoviridae and Tulasviridae), 41 new genera, and 98 new species. Three hundred forty-nine species were renamed and/or moved. The accidentally misspelled names of seven species were corrected. This article presents the updated taxonomy of Negarnaviricota as now accepted by the ICTV.
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- 2022
249. Grain refinement and morphological control of intermetallic compounds: A comprehensive review
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Raj Paul, Amrit, Dumbre, Jayshri, Qiu, Dong, Easton, Mark, Mazur, Maciej, and Mukherjee, Manidipto
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- 2024
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250. Dignity in the Pediatric Population: A Systematic Review
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Silverstein, Allison, Easton, Veronica, Barrows, Cory, Sawyer, Kimberly, Coughlin, Rachel, Mali, Nidhi, Kessler, Amber, Robinson, Matthew, Sirrine, Erica, Spears, Madison, Wrigley, Jordan, Baker, Justin N, and Kaye, Erica C
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- 2024
- Full Text
- View/download PDF
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