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2. Optimal Routes to Ultrafast Polarization Reversal in Ferroelectric LiNbO3

Author

Hardy, R. Tanner, Rosenbrock, Conrad, Hart, Gus L. W., and Johnson, Jeremy A.

Subjects
Condensed Matter - Materials Science
Abstract

We use the frozen phonon method to calculate the anharmonic potential energy surface and to model the ultrafast ferroelectric polarization reversal in LiNbO3 driven by intense pulses of THz light. Before stable switching of the polarization occurs, there exists a region of excitation field-strengths where transient switching can occur, as observed experimentally [Physical Review Letters 118, 197601 (2017)]. By varying the excitation frequency from 4 to 20 THz, our modeling suggests that more efficient, permanent polarization switching can occur by directly exciting the soft mode at 7 THz, compared to nonlinear phononic-induced switching driven by exciting a high frequency mode at 18 THz. We also show that neglecting anharmonic coupling pathways in the modeled experiment can lead to significant differences in the modeled switching field strengths., Comment: 8 pages, 3 figures

Published
2023

4. Methods for Characterising Oxide Inclusions and Porosity in Powder Ni Alloys for Disk Rotor Applications

Author

Hardy, M. C., Minisandram, R. S., Buckingham, R. C., Broadbent, R. J., Berment-Parr, I. M. D., Mignanelli, P. M., Pickard, A. C., Robb, R. T., Baxter, G. J., Horbury, A., Wright, D. C., Brooks Hardy, R. R., McDevitt, E. T., Mills, D. E., Cormier, Jonathan, editor, Edmonds, Ian, editor, Forsik, Stephane, editor, Kontis, Paraskevas, editor, O’Connell, Corey, editor, Smith, Timothy, editor, Suzuki, Akane, editor, Tin, Sammy, editor, and Zhang, Jian, editor

Published
2024
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5. The Relationship between Special Education Placement and High School Outcomes

Author

Cole, Sandi M., Murphy, Hardy R., Frisby, Michael B., and Robinson, James

Abstract

Propensity score matching was used to create intervention and comparison groups to compare academic outcomes of students with disabilities in the U.S. state of Indiana placed in more inclusive settings with those placed in less inclusive settings. Student and school demographic and outcome data were analyzed from the eighth grade in 2013 through graduation in 2018. Students with disabilities spending 80% more time in inclusive classrooms did better in reading and math than peers spending more time in special education classrooms. The study shows differences in diploma types of students in more inclusive settings than those in less inclusive settings, indicating that students in inclusive settings engage in more rigorous course of study and are more prepared for successful post-secondary educational and employment opportunities.

Published
2023
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8. The Relationship of Special Education Placement and Student Academic Outcomes

Author

Cole, Sandi M., Murphy, Hardy R., Frisby, Michael B., Grossi, Teresa A., and Bolte, Hannah R.

Abstract

This study investigates the academic outcomes of a special education student cohort in the state of Indiana placed in high and low inclusion settings. Student scores in these two settings from the Indiana State Test of Educational Progress (ISTEP+ English/Language Arts and math) were compared from fourth grade in 2014 through the eighth grade in 2018. Results of this study show that students with disabilities who spent 80% or more of their time in a general education inclusive classroom did significantly better in both reading and math assessment than their peers who spent more time in separate special education classrooms.

Published
2021
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9. Explaining differential vulnerability to climate change: A social science review.

Author

Thomas, Kimberley, Hardy, R Dean, Lazrus, Heather, Mendez, Michael, Orlove, Ben, Rivera-Collazo, Isabel, Roberts, J Timmons, Rockman, Marcy, Warner, Benjamin P, and Winthrop, Robert

Subjects
access, culture, governance, knowledge, vulnerability, Climate-Related Exposures and Conditions, Climate Action
Abstract

The varied effects of recent extreme weather events around the world exemplify the uneven impacts of climate change on populations, even within relatively small geographic regions. Differential human vulnerability to environmental hazards results from a range of social, economic, historical, and political factors, all of which operate at multiple scales. While adaptation to climate change has been the dominant focus of policy and research agendas, it is essential to ask as well why some communities and peoples are disproportionately exposed to and affected by climate threats. The cases and synthesis presented here are organized around four key themes (resource access, governance, culture, and knowledge), which we approach from four social science fields (cultural anthropology, archaeology, human geography, and sociology). Social scientific approaches to human vulnerability draw vital attention to the root causes of climate change threats and the reasons that people are forced to adapt to them. Because vulnerability is a multidimensional process rather than an unchanging state, a dynamic social approach to vulnerability is most likely to improve mitigation and adaptation planning efforts. This article is categorized under:Vulnerability and Adaptation to Climate Change > Values-Based Approach to Vulnerability and Adaptation.

Published
2019

15. Novel DNA methylation signatures of tobacco smoking with trans-ethnic effects

Author

Christiansen, C., Castillo-Fernandez, J. E., Domingo-Relloso, A., Zhao, W., El-Sayed Moustafa, J. S., Tsai, P.-C., Maddock, J., Haack, K., Cole, S. A., Kardia, S. L. R., Molokhia, M., Suderman, M., Power, C., Relton, C., Wong, A., Kuh, D., Goodman, A., Small, K. S., Smith, J. A., Tellez-Plaza, M., Navas-Acien, A., Ploubidis, G. B., Hardy, R., and Bell, J. T.

Published
2021
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16. Qualitative data sharing and synthesis for sustainability science

Author

Alexander, Steven M., Jones, Kristal, Bennett, Nathan J., Budden, Amber, Cox, Michael, Crosas, Mercè, Game, Edward T., Geary, Janis, Hardy, R. Dean, Johnson, Jay T., Karcher, Sebastian, Motzer, Nicole, Pittman, Jeremy, Randell, Heather, Silva, Julie A., da Silva, Patricia Pinto, Strasser, Carly, Strawhacker, Colleen, Stuhl, Andrew, and Weber, Nic

Published
2020
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17. Modelling of Subspan Oscillations of Bundled Conductors

Author

H. J. Krispin, J. Havel, J. Huang, J. Garnier, S. Kolosov, J. P. Paradis, A. Leblond, C. B. Rawlins, U. Cosmai, P. Van Dyke, J. L. Lilien, W. Troppauer, A. Manenti, L. Mazzola, E. Ruggeri, N. Sahlani, D. Proctor, C. Rozé, M. Landeira, S. Thaddey, C. Hardy, R. Tong, B. Liu, A. Bhangor, A. Vinogradov, T. A. Furtado and M. Araujo, Diana, Giorgio, CIGRE, Series Editor, and Diana, Giorgio, editor

Published
2018
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18. Modelling of Aeolian Vibrations of Bundled Conductors

Author

H. J. Krispin, J. Havel, J. Huang, J. Garnier, S. Kolosov, J. P. Paradis, A. Leblond, C. B. Rawlins, U. Cosmai, P. Van Dyke, J. L. Lilien, W. Troppauer, A. Manenti, L. Mazzola, E. Ruggeri, N. Sahlani, D. Proctor, C. Rozé, M. Landeira, S. Thaddey, C. Hardy, R. Tong, B. Liu, A. Bhangor, A. Vinogradov, T. A. Furtado and M. Araujo, Diana, Giorgio, CIGRE, Series Editor, and Diana, Giorgio, editor

Published
2018
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19. Erratum: Consortium biology in immunology: The perspective from the Immunological Genome Project

Author

Benoist, C, Lanier, L, Merad, M, Mathis, D, Ericson, J, Painter, M, Davis, S, Laplace, C, Hyatt, G, Paik, H, Rothamel, K, Cruse, R, Doran, G, Heng, T, Asinovski, N, Ortiz-Lopes, A, Ergun, A, Gray, D, Wakamatsu, E, Hill, J, Mingueneau, M, Cipolletta, D, Yoshida, H, Cohen, N, Kim, E, Brennan, P, Lynch, L, Brenner, M, Costello, J, Collins, JJ, Blair, D, Dustin, M, Knell, J, Yang, E, Best, A, Shaw, L, Doedens, A, Goldrath, A, Shinton, S, Zhou, Y, Hardy, R, Jojic, V, Mostafavi, S, Koller, D, Jianu, R, Laidlaw, D, Bezman, N, Sun, J, Zhu, Y, Hendricks, D, Kamimura, Y, Min-Oo, G, Morvan, M, Nabekura, T, Lam, V, Kim, C, Greter, M, Helft, J, Chow, A, Bogunovic, M, Mortha, A, Price, J, Hashimoto, D, Miller, J, Sathe, P, Chudnovskiy, A, Lavin, Y, Idoyaga, J, Gautier, E, Jakubzick, C, D'Angelo, J, Randolph, G, Shay, T, Regev, A, Gazit, R, Rossi, D, Kreslawsky, T, von Bohmer, H, Bellemare-Pelletier, A, Elpek, K, Spelv, L, Fletcher, A, Malhotra, D, Cremasco, V, Turley, S, Kim, F, Nageswara Rao, T, and Wagers, A

Subjects
Immunology
Published
2014

20. Prognostic implications of left ventricular strain by speckle-tracking echocardiography in the general population: a meta-analysis

Author

Al Saikhan L, Park C, Hardy R, and Hughes A

Subjects
Community dwelling individuals, Mortality, Cardiovascular disease, Left ventricular strain, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Lamia Al Saikhan,1 Chloe Park,2,3 Rebecca Hardy,3 Alun Hughes2,31Department of Cardiac Technology, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam 34212, Kingdom of Saudi Arabia; 2Institute of Cardiovascular Science, School of Life and Medical Sciences, University College London, London, UK; 3MRC Unit for Lifelong Health and Ageing, University College London, London, UKPurpose: Left ventricular (LV) mechanics by speckle-tracking echocardiography (STE) is prognostic in patients with cardiovascular diseases, but evidence related to community-dwelling individuals is uncertain. We therefore performed a systematic review and meta-analysis of STE as a predictor of adverse outcomes in the general population.Methods: PRISMA guidelines were followed and MEDLINE and EMBASE were searched to identify eligible studies. Primary outcome was all-cause mortality and secondary outcomes were composite cardiac and cardiovascular end-point. Random effects meta-analysis was performed, and a modified Newcastle-Ottawa Assessment Scale was used for quality assessment.Results: Eight papers matched the predefined criteria (total number of individuals studied=11,744). All publications assessed global longitudinal strain (GLS) by two-dimensional speckle-tracking echocardiography (2D-STE), one assessed circumferential, radial and transverse strains, and one assessed GLS-derived post-systolic shortening. None assessed LV rotational measures in association with outcomes. Two studies reported associations between GLS and all-cause mortality and composite cardiovascular end-point. Six papers reported an association between GLS and composite cardiac end-point, three of which were from the same study. Four papers were suitable for meta-analysis. GLS predicted all-cause mortality (pooled minimally adjusted HR per unit strain (%)=1.07 [95% CI 1.03–1.11], p=0.001), and composite cardiovascular (pooled maximally adjusted HR=1.18 [1.09–1.28], p

Published
2019

23. The Use of Music in the Instructional Design of Multimedia.

Author

Hardy, R. Donald and Jost, Karen Lee

Abstract

This study explores the way music operates in the mental processing of computer-supported instructional messages, whose other modes are text and graphics. The experiment examined the effect of music on the immediate recall and understanding of three equivalent science lessons delivered by a computer. The objective properties of the music were manipulated to produce feelings that were congruent with the psychological dynamics of the lessons' instructional strategies. This technique sought to enhance achievement by stimulating multiple (triple) encoding in short term memory. It aligned an abstract musical input, which elaborated subjectively on content, with instructional strategy, which is a subjective lesson element. This research, therefore, proposed and tested a variable, Music-Instructional Strategy-Integration (MISI) element, that moderated the instructional treatments. The study also sought subjects' affective evaluations of the lessons accompanied by music as well as their preferences for music in association with academic endeavors. The experimental procedure examined the effects on achievement of three forms of ninth grade lessons on physical science topics, each of which was differently moderated by music or ran in silence. The primary analysis of variance showed no significant statistical results regarding achievement. There was no statistically significant difference in the subjects' rating of the musical patterns, and no relationship between achievement scores and subjects' ratings was found. The subjects were consistent in favoring an association of music with academic activity. The study found that the inclusion of music can stimulate positive student affect toward computer-supported instruction and toward science instruction. It identifies the need for additional research with multiple encoding, and with literal music, which depicts content by becoming one of its objective parts. An appendix lists musical compositions used in the research. (Contains 69 references.) (Author/SWC)

Published
1996

25. Synergistic induction of local glucocorticoid generation by inflammatory cytokines and glucocorticoids: implications for inflammation associated bone loss

Author

Kaur, K, Hardy, R, Ahasan, MM, Eijken, M, van Leeuwen, JP, Filer, A, Thomas, AM, Raza, K, Buckley, CD, Stewart, PM, Rabbitt, EH, Hewison, M, and Cooper, MS

Subjects
2.1 Biological and endogenous factors, Aetiology, Inflammatory and immune system, 11-beta-Hydroxysteroid Dehydrogenase Type 1, Cell Differentiation, Cells, Cultured, Cytokines, Dose-Response Relationship, Drug, Drug Synergism, Gene Expression Regulation, Enzymologic, Glucocorticoids, Humans, Inflammation Mediators, Osteoblasts, Osteosarcoma, Synovial Membrane, Tumor Cells, Cultured, Clinical Sciences, Immunology, Public Health and Health Services, Arthritis & Rheumatology
Abstract

ObjectivesSynovial fibroblasts and osteoblasts generate active glucocorticoids by means of the 11beta-hydroxysteroid dehydrogenase type 1 (11beta-HSD1) enzyme. This activity increases in response to proinflammatory cytokines or glucocorticoids. During inflammatory arthritis synovium and bone are exposed to both these factors. This study hypothesised that glucocorticoids magnify the effects of inflammatory cytokines on local glucocorticoid production in both synovium and bone.MethodsThe effects of inflammatory cytokines (IL-1beta/tumour necrosis factor alpha; TNFalpha) and glucocorticoids, alone or combined, were assessed on the expression and activity of 11beta-HSD1 in primary synovial fibroblasts, primary human osteoblasts and MG-63 osteosarcoma cells. A range of other target genes and cell types were used to examine the specificity of effects. Functional consequences were assessed using IL-6 ELISA.ResultsIn synovial fibroblasts and osteoblasts, treatment with cytokines or glucocorticoids in isolation induced 11beta-HSD1 expression and activity. However, in combination, 11beta-HSD1 expression, activity and functional consequences were induced synergistically to a level not seen with isolated treatments. This effect was seen in normal skin fibroblasts but not foreskin fibroblasts or adipocytes and was only seen for the 11beta-HSD1 gene. Synergistic induction had functional consequences on IL-6 production.ConclusionsCombined treatment with inflammatory cytokines and glucocorticoids synergistically induces 11beta-HSD1 expression and activity in synovial fibroblasts and osteoblasts, providing a mechanism by which synovium and bone can interact to enhance anti-inflammatory responses by increasing localised glucocorticoid levels. However, the synergistic induction of 11beta-HSD1 might also cause detrimental glucocorticoid accumulation in bone or surrounding tissues.

Published
2010

28. Local and systemic glucocorticoid metabolism in inflammatory arthritis

Author

Hardy, R, Rabbitt, EH, Filer, A, Emery, P, Hewison, M, Stewart, PM, Gittoes, NJ, Buckley, CD, Raza, K, and Cooper, MS

Subjects
Autoimmune Disease, Clinical Research, Arthritis, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, 11-beta-Hydroxysteroid Dehydrogenase Type 1, 11-beta-Hydroxysteroid Dehydrogenase Type 2, Aged, Arthritis, Rheumatoid, Cortisone, Enzyme Inhibitors, Female, Glucocorticoids, Humans, Hydrocortisone, Interleukin-6, Male, Middle Aged, Osteoarthritis, Synovial Fluid, Synovial Membrane, Tissue Culture Techniques, Clinical Sciences, Immunology, Public Health and Health Services, Arthritis & Rheumatology
Abstract

BackgroundIsolated, primary synovial fibroblasts generate active glucocorticoids through expression of 11beta-hydroxysteroid dehydrogenase type 1 (11beta-HSD1). This enzyme produces cortisol from inactive cortisone (and prednisolone from prednisone).ObjectiveTo determine how intact synovial tissue metabolises glucocorticoids and to identify the local and systemic consequences of this activity by examination of glucocorticoid metabolism in patients with rheumatoid arthritis (RA).MethodsSynovial tissue was taken from patients with RA during joint replacement surgery. Glucocorticoid metabolism in explants was assessed by thin-layer chromatography and specific enzyme inhibitors. RT-PCR and immunohistochemistry were used to determine expression and distribution of 11beta-HSD enzymes. Systemic glucocorticoid metabolism was examined in patients with RA using gas chromatography/mass spectrometry.ResultsSynovial tissue synthesised cortisol from cortisone, confirming functional 11beta-HSD1 expression. In patients with RA, enzyme activity correlated with donor erythrocyte sedimentation rate (ESR). Synovial tissues could also convert cortisol back to cortisone. Inhibitor studies and immunohistochemistry suggested this was owing to 11beta-HSD2 expression in synovial macrophages, whereas 11beta-HSD1 expression occurred primarily in fibroblasts. Synovial fluids exhibited lower cortisone levels than matched serum samples, indicating net local steroid activation. Urinary analyses indicated high 11beta-HSD1 activity in untreated patients with RA compared with controls and a significant correlation between total body 11beta-HSD1 activity and ESR.ConclusionsSynovial tissue metabolises glucocorticoids, the predominant effect being glucocorticoid activation, and this increases with inflammation. Endogenous glucocorticoid production in the joint is likely to have an impact on local inflammation and bone integrity.

Published
2008

29. Ethnic Differences in the Association Between Age at Natural Menopause and Risk of Type 2 Diabetes Among Postmenopausal Women: A Pooled Analysis of Individual Data From 13 Cohort Studies.

Author

Chung, H-F, Dobson, AJ, Hayashi, K, Hardy, R, Kuh, D, Anderson, DJ, van der Schouw, YT, Greenwood, DC, Cade, JE, Demakakos, P, Brunner, EJ, Eastwood, SV, Sandin, S, Weiderpass, E, Mishra, GD, Chung, H-F, Dobson, AJ, Hayashi, K, Hardy, R, Kuh, D, Anderson, DJ, van der Schouw, YT, Greenwood, DC, Cade, JE, Demakakos, P, Brunner, EJ, Eastwood, SV, Sandin, S, Weiderpass, E, and Mishra, GD

Abstract

OBJECTIVE: To investigate associations between age at natural menopause, particularly premature ovarian insufficiency (POI) (natural menopause before age 40 years), and incident type 2 diabetes (T2D) and identify any variations by ethnicity. RESEARCH DESIGN AND METHODS: We pooled individual-level data of 338,059 women from 13 cohort studies without T2D before menopause from six ethnic groups: White (n = 177,674), Chinese (n = 146,008), Japanese (n = 9,061), South/Southeast Asian (n = 2,228), Black (n = 1,838), and mixed/other (n = 1,250). Hazard ratios (HRs) of T2D associated with age at menopause were estimated in the overall sample and by ethnicity, with study as a random effect. For each ethnic group, we further stratified the association by birth year, education level, and BMI. RESULTS: Over 9 years of follow-up, 20,064 (5.9%) women developed T2D. Overall, POI (vs. menopause at age 50-51 years) was associated with an increased risk of T2D (HR 1.31; 95% CI 1.20-1.44), and there was an interaction between age at menopause and ethnicity (P < 0.0001). T2D risk associated with POI was higher in White (1.53; 1.36-1.73), Japanese (4.04; 1.97-8.27), and Chinese women born in 1950 or later (2.79; 2.11-3.70); although less precise, the risk estimates were consistent in women of South/Southeast Asian (1.46; 0.89-2.40), Black (1.72; 0.95-3.12), and mixed/other (2.16; 0.83-5.57) ethnic groups. A similar pattern, but with a smaller increased risk of T2D, was observed with early menopause overall (1.16; 1.10-1.23) and for White, Japanese, and Chinese women born in 1950 or later. CONCLUSIONS: POI and early menopause are risk factors for T2D in postmenopausal women, with considerable variation across ethnic groups, and may need to be considered in risk assessments of T2D among women.

Published
2023

30. The Relationship Between Special Education Placement and High School Outcomes

Author

Sandi M. Cole, Hardy R. Murphy, Michael B. Frisby, and James Robinson

Subjects
Rehabilitation, Education
Abstract

Propensity score matching was used to create intervention and comparison groups to compare academic outcomes of students with disabilities in the U.S. state of Indiana placed in more inclusive settings with those placed in less inclusive settings. Student and school demographic and outcome data were analyzed from the eighth grade in 2013 through graduation in 2018. Students with disabilities spending 80% more time in inclusive classrooms did better in reading and math than peers spending more time in special education classrooms. The study shows differences in diploma types of students in more inclusive settings than those in less inclusive settings, indicating that students in inclusive settings engage in more rigorous course of study and are more prepared for successful post-secondary educational and employment opportunities.

Published
2022

33. Impact of the Deepwater Horizon oil spill on loggerhead turtle Caretta caretta nest densities in northwest Florida

Author

Lauritsen, AM, Dixon, PM, Cacela, D, Brost, B, Hardy, R, MacPherson, SL, Meylan, A, Wallace, BP, and Witherington, B

Subjects
Zoology, QL1-991, Botany, QK1-989
Abstract

The 2010 Deepwater Horizon (DWH) oil spill and associated response activities overlapped with habitats for multiple life stages of federally protected sea turtles in the northern Gulf of Mexico. Although most assessment efforts focused on documenting the presence, abundance, and exposure of sea turtles to DWH oil in marine habitats, oil also washed ashore on sand beaches used by nesting turtles, specifically in NW Florida and Alabama, USA. In addition, extensive and highly mechanized beach cleanup efforts were conducted in NW Florida as well as Alabama, Louisiana, and Mississippi. Thus, the DWH oil spill negatively affected sea turtle nesting directly (e.g. adverse effects of oil exposure) and indirectly (e.g. beach cleanup activities deterring nesting) in several ways. In this study, we used a before-after, control-impact statistical modeling approach to examine long-term (1997-2012) historical records of loggerhead turtle (Caretta caretta) nest densities in 2 segments of the Florida Gulf coastline, one that was heavily affected by the oil spill (NW Florida) and one that was relatively unaffected (SW Florida). Loggerhead nest densities on NW Florida beaches in 2010 were reduced by 43.7% (95% confidence interval: 10-65%) relative to expected nesting rates in the absence of DWH oil and cleanup efforts. When we applied this reduction to all nesting habitat in NW Florida, this equated to a loss of approximately 251 unrealized nests from the 2010 nesting seasonóa loss we attribute to direct (e.g. mortality) and indirect (e.g. deterrence of nesting) effects related to the DWH incident.

Published
2017
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34. Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4·4 million participants

Author

Zhou, B, Lu, Y, Hajifathalian, K, Bentham, J, Di Cesare, M, Danaei, G, Bixby, H, Cowan, MJ, Ali, MK, Taddei, C, Lo, WC, Reis-Santos, B, Stevens, GA, Riley, LM, Miranda, JJ, Bjerregaard, P, Rivera, JA, Fouad, HM, Ma, G, Mbanya, JC, McGarvey, ST, Mohan, V, Onat, A, Pilav, A, Ramachandran, A, Romdhane, HB, Paciorek, CJ, Bennett, JE, Ezzati, M, Abdeen, ZA, Abdul Kadir, K, Abu-Rmeileh, NM, Acosta-Cazares, B, Adams, R, Aekplakorn, W, Aguilar-Salinas, CA, Agyemang, C, Ahmadvand, A, Al-Othman, AR, Alkerwi, A, Amouyel, P, Amuzu, A, Andersen, LB, Anderssen, SA, Anjana, RM, Aounallah-Skhiri, H, Aris, T, Arlappa, N, Arveiler, D, Assah, FK, Avdicová, M, Azizi, F, Balakrishna, N, Bandosz, P, Barbagallo, CM, Barceló, A, Batieha, AM, Baur, LA, Benet, M, Bernabe-Ortiz, A, Bharadwaj, S, Bhargava, SK, Bi, Y, Bjertness, E, Bjertness, MB, Björkelund, C, Blokstra, A, Bo, S, Boehm, BO, Boissonnet, CP, Bovet, P, Brajkovich, I, Breckenkamp, J, Brenner, H, Brewster, LM, Brian, GR, Bruno, G, Bugge, A, Cabrera de León, A, Can, G, Cândido, AP, Capuano, V, Carlsson, AC, Carvalho, MJ, Casanueva, FF, Casas, JP, Caserta, CA, Castetbon, K, Chamukuttan, S, Chaturvedi, N, Chen, CJ, Chen, F, Chen, S, Cheng, CY, Chetrit, A, Chiou, ST, Cho, Y, Chudek, J, Cifkova, R, Claessens, F, Concin, H, Cooper, C, Cooper, R, Costanzo, S, Cottel, D, Cowell, C, Crujeiras, AB, D'Arrigo, G, Dallongeville, J, Dankner, R, Dauchet, L, de Gaetano, G, De Henauw, S, Deepa, M, Dehghan, A, Deschamps, V, Dhana, K, Di Castelnuovo, AF, Djalalinia, S, Doua, K, Drygas, W, Du, Y, Dzerve, V, Egbagbe, EE, Eggertsen, R, El Ati, J, Elosua, R, Erasmus, RT, Erem, C, Ergor, G, Eriksen, L, Escobedo-de la Peña, J, Fall, CH, Farzadfar, F, Felix-Redondo, FJ, Ferguson, TS, Fernández-Bergés, D, Ferrari, M, Ferreccio, C, Feskens, EJ, Finn, JD, Föger, B, Foo, LH, Forslund, AS, Francis, DK, Franco Mdo, C, Franco, OH, Frontera, G, Furusawa, T, Gaciong, Z, Garnett, SP, Gaspoz, JM, Gasull, M, Gates, L, Geleijnse, JM, Ghasemian, A, Ghimire, A, Giampaoli, S, Gianfagna, F, Giovannelli, J, Giwercman, A, Gross, MG, González Rivas, JP, Gorbea, MB, Gottrand, F, Grafnetter, D, Grodzicki, T, Grøntved, A, Gruden, G, Gu, D, Guan, OP, Guerrero, R, Guessous, I, Guimaraes, AL, Gutierrez, L, Hambleton, IR, Hardy, R, Hari Kumar, R, Hata, J, He, J, Heidemann, C, Herrala, S, Hihtaniemi, IT, Ho, SY, Ho, SC, Hofman, A, Hormiga, CM, Horta, BL, Houti, L, Howitt, C, Htay, TT, Htet, AS, Htike, MM, Hu, Y, Hussieni, AS, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ikeda, N, Ikram, MA, Irazola, VE, Islam, M, Iwasaki, M, Jacobs, JM, Jafar, T, Jamil, KM, Jasienska, G, Jiang, CQ, Jonas, JB, Joshi, P, Kafatos, A, Kalter-Leibovici, O, Kasaeian, A, Katz, J, Kaur, P, Kavousi, M, Keinänen-Kiukaanniemi, S, Kelishadi, R, Kengne, AP, Kersting, M, Khader, YS, Khalili, D, Khang, YH, Kiechl, S, Kim, J, Kolsteren, P, Korrovits, P, Kratzer, W, Kromhout, D, Kujala, UM, Kula, K, Kyobutungi, C, Laatikainen, T, Lachat, C, Laid, Y, Lam, TH, Landrove, O, Lanska, V, Lappas, G, Laxmaiah, A, Leclercq, C, Lee, J, Lehtimäki, T, Lekhraj, R, León-Muñoz, LM, Li, Y, Lim, WY, Lima-Costa, MF, Lin, HH, Lin, X, Lissner, L, Lorbeer, R, Lozano, JE, Luksiene, D, Lundqvist, A, Lytsy, P, Machado-Coelho, GL, Machi, S, Maggi, S, Magliano, DJ, Makdisse, M, Mallikharjuna Rao, K, Manios, Y, Manzato, E, Margozzini, P, Marques-Vidal, P, Martorell, R, Masoodi, SR, Mathiesen, EB, Matsha, TE, McFarlane, SR, McLachlan, S, McNulty, BA, Mediene-Benchekor, S, Meirhaeghe, A, Menezes, AM, Merat, S, Meshram, II, Mi, J, Miquel, JF, Mohamed, MK, Mohammad, K, Mohammadifard, N, Mohd Yusoff, MF, Møller, NC, Molnár, D, Mondo, CK, Morejon, A, Moreno, LA, Morgan, K, Moschonis, G, Mossakowska, M, Mostafa, A, Mota, J, Motta, J, Mu, TT, Muiesan, ML, Müller-Nurasyid, M, Mursu, J, Nagel, G, Námešná, J, Nang, EE, NangThetia, VB, Navarrete-Muñoz, EM, Ndiaye, NC, Nenko, I, Nervi, F, Nguyen, ND, Nguyen, QN, Nieto-Martínez, RE, Ning, G, Ninomiya, T, Noale, M, Noto, D, Nsour, MA, Ochoa-Avilés, AM, Oh, K, Ordunez, P, Osmond, C, Otero, JA, Owusu-Dabo, E, Pahomova, E, Palmieri, L, Panda-Jonas, S, Panza, F, Parsaeian, M, Peixoto, SV, Pelletier, C, Peltonen, M, Peters, A, Peykari, N, Pham, ST, Pitakaka, F, Piwonska, A, Piwonski, J, Plans-Rubió, P, Porta, M, Portegies, ML, Poustchi, H, Pradeepa, R, Price, JF, Punab, M, Qasrawi, RF, Qorbani, M, Radisauskas, R, Rahman, M, Raitakari, O, Rao, SR, Ramke, J, Ramos, R, Rampal, S, Rathmann, W, Redon, J, Reganit, PF, Rigo, F, Robinson, SM, Robitaille, C, Rodríguez-Artalejo, F, Rodriguez-Perez Mdel, C, Rodríguez-Villamizar, LA, Rojas-Martinez, R, Ronkainen, K, Rosengren, A, Rubinstein, A, Rui, O, Ruiz-Betancourt, BS, Russo Horimoto, RV, Rutkowski, M, Sabanayagam, C, Sachdev, HS, Saidi, O, Sakarya, S, Salanave, B, Salonen, JT, Salvetti, M, Sánchez-Abanto, J, Santos, D, dos Santos, RN, Santos, R, Saramies, JL, Sardinha, LB, Sarrafzadegan, N, Saum, KU, Scazufca, M, Schargrodsky, H, Scheidt-Nave, C, Sein, AA, Sharma, SK, Shaw, JE, Shibuya, K, Shin, Y, Shiri, R, Siantar, R, Sibai, AM, Simon, M, Simons, J, Simons, LA, Sjostrom, M, Slowikowska-Hilczer, J, Slusarczyk, P, Smeeth, L, Snijder, MB, So, HK, Sobngwi, E, Söderberg, S, Solfrizzi, V, Sonestedt, E, Soumare, A, Staessen, JA, Stathopoulou, MG, Steene-Johannessen, J, Stehle, P, Stein, AD, Stessman, J, Stöckl, D, Stokwiszewski, J, Stronks, K, Strufaldi, MW, Sun, CA, Sundström, J, Sung, YT, Suriyawongpaisal, P, Sy, RG, Tai, ES, Tamosiunas, A, Tang, L, Tarawneh, M, Tarqui-Mamani, CB, Taylor, A, Theobald, H, Thijs, L, Thuesen, BH, Tolonen, HK, Tolstrup, JS, Topbas, M, Torrent, M, Traissac, P, Trinh, OT, Tulloch-Reid, MK, Tuomainen, TP, Turley, ML, Tzourio, C, Ueda, P, Ukoli, FA, Ulmer, H, Uusitalo, HM, Valdivia, G, Valvi, D, van Rossem, L, van Valkengoed, IG, Vanderschueren, D, Vanuzzo, D, Vega, T, Velasquez-Melendez, G, Veronesi, G, Verschuren, WM, Verstraeten, R, Viet, L, Vioque, J, Virtanen, JK, Visvikis-Siest, S, Viswanathan, B, Vollenweider, P, Voutilainen, S, Vrijheid, M, Wade, AN, Wagner, A, Walton, J, Wan Mohamud, WN, Wang, F, Wang, MD, Wang, Q, Wang, YX, Wannamethee, SG, Weerasekera, D, Whincup, PH, Widhalm, K, Wiecek, A, Wijga, AH, Wilks, RJ, Willeit, J, Wilsgaard, T, Wojtyniak, B, Wong, TY, Woo, J, Woodward, M, Wu, FC, Wu, SL, Xu, H, Yan, W, Yang, X, Ye, X, Yoshihara, A, Younger-Coleman, NO, Zambon, S, Zargar, AH, Zdrojewski, T, Zhao, W, Zheng, Y, and Zuñiga Cisneros, J

Published
2016
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35. Modelling floodplain morpho-dynamics using a two-dimensional finite element approach

Author

Hardy, R. J.

Subjects
551.442, River flooding modelling
Abstract

As part of the effort to satisfy the ever increasing demand for a greater understanding of fluvial, hydrological, chemical, sedimentological and geomorphological processes operating on the floodplain, mathematical simulation models have come to play a significant role in the understanding, prediction and management of the floodplain environment. Underlying the accurate numerical representation of hydraulically driven processes is the provision of a suitable floodplain hydrology model which accounts for the interaction between surface hydraulics and subsurface hydrology. Such a numerical representation is currently not available at the spatial and temporal resolution required. It is the aim of this thesis to develop a novel conceptual approach to modelling floodplain hydrology in which the fundamental need to consider the interaction between surface and subsurface flow is the floodplain environment is addressed. This is achieved through the interactive coupling of a one-dimensional finite difference infiltration model with the state-of-the-art two-dimensional physically based finite element hydraulic model, TELEMAC2D. The coupled model provides an unparalleled spatial and temporal representation of surface and subsurface flow processes within the floodplain environment. The utility of this integrated approach is explored through an application of the model to two areas of contemporary floodplain research. In the first of these the model is run to assess the impact of infiltration on flood flow prediction for an llkm reach of the River Culm, UK, over a range of flood and soil conditions. In the second the model is run to investigate the nitrate buffering potential of floodplain riparian soils during flooding. For this investigation a model accounting for nitrate transport and denitrification is developed within the existing integrated hydraulic-infiltration model structure. An evaluation of the results from both of these investigations supports the need for a new approach to modelling fluvially driven floodplain processes which accounts for the spatially interactive nature of floodplain hydrology.

Published
1997

40. Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331 288 participants

Author

Danaei, G, Fahimi, S, Lu, Y, Zhou, B, Hajifathalian, K, Di Cesare, M, Lo, WC, Reis-Santos, B, Cowan, MJ, Shaw, JE, Bentham, J, Lin, JK, Bixby, H, Magliano, D, Bovet, P, Miranda, JJ, Khang, YH, Stevens, GA, Riley, LM, Ali, MK, Ezzati, M, Abdeen, ZA, Kadir, KA, Abu-Rmeileh, M, Acosta-Cazares, B, Aekplakorn, W, Aguilar-Salinas, CA, Ahmadvand, A, Al Nsour, M, Alkerwi, A, Amouyel, P, Andersen, LB, Anderssen, SA, Andrade, DS, Anjana, RM, Aounallah-Skhiri, H, Aris, T, Arlappa, N, Arveiler, D, Assah, FK, Avdicová, M, Balakrishna, N, Bandosz, P, Barbagallo, CM, Barceló, A, Batieha, AM, Baur, LA, Ben Romdhane, H, Bernabe-Ortiz, A, Bhargava, SK, Bi, Y, Bjerregaard, P, Björkelund, C, Blake, M, Blokstra, A, Bo, S, Boehm, BO, Boissonnet, CP, Brajkovich, I, Breckenkamp, J, Brewster, LM, Brian, GR, Bruno, G, Bugge, A, Cabrera de León, A, Can, G, Cândido, AP, Capuano, V, Carvalho, MJ, Casanueva, FF, Caserta, CA, Castetbon, K, Chamukuttan, S, Chaturvedi, N, Chen, CJ, Chen, F, Chen, S, Cheng, CY, Chetrit, A, Chiou, ST, Cho, Y, Chudek, J, Cifkova, R, Claessens, F, Concin, H, Cooper, C, Cooper, R, Costanzo, S, Cottel, D, Cowell, C, Crujeiras, AB, D'Arrigo, G, Dallongeville, J, Dankner, R, Dauchet, L, de Gaetano, G, De Henauw, S, Deepa, M, Dehghan, A, Dhana, K, Di Castelnuovo, AF, Djalalinia, S, Doua, K, Drygas, W, Du, Y, Egbagbe, EE, Eggertsen, R, El Ati, J, Elosua, R, Erasmus, RT, Erem, C, Ergor, G, Eriksen, L, Escobedo-de la Peña, J, Fall, CH, Farzadfar, F, Felix-Redondo, FJ, Ferguson, TS, Fernández-Bergés, D, Ferrari, M, Ferreccio, C, Finn, JD, Föger, B, Foo, LH, Fouad, HM, Francis, DK, Franco Mdo, C, Frontera, G, Furusawa, T, Gaciong, Z, Galbarczyk, A, Garnett, SP, Gaspoz, JM, Gasull, M, Gates, L, Geleijnse, JM, Ghasemain, A, Giampaoli, S, Gianfagna, F, Giovannelli, J, Gonzalez Gross, M, González Rivas, JP, Gorbea, MB, Gottrand, F, Grant, JF, Grodzicki, T, Grøntved, A, Gruden, G, Gu, D, Guan, OP, Guerrero, R, Guessous, I, Guimaraes, AL, Gutierrez, L, Hardy, R, Hari Kumar, R, Heidemann, C, Hihtaniemi, IT, Ho, SY, Ho, SC, Hofman, A, Horimoto, AR, Hormiga, CM, Horta, BL, Houti, L, Hussieni, AS, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ikeda, N, Ikram, MA, Irazola, VE, Islam, M, Iwasaki, M, Jacobs, JM, Jafar, T, Jasienska, G, Jiang, CQ, Jonas, JB, Joshi, P, Kafatos, A, Kalter-Leibovici, O, Kasaeian, A, Katz, J, Kaur, P, Kavousi, M, Kelishadi, R, Kengne, AP, Kersting, M, Khader, YS, Kiechl, S, Kim, J, Kiyohara, Y, Kolsteren, P, Korrovits, P, Koskinen, S, Kratzer, W, Kromhout, D, Kula, K, Kurjata, P, Kyobutungi, C, Lachat, C, Laid, Y, Lam, TH, Lanska, V, Lappas, G, Laxmaiah, A, Leclercq, C, Lee, J, Lehtimäki, T, Lekhraj, R, León-Muñoz, LM, Li, Y, Lim, WY, Lima-Costa, MF, Lin, HH, Lin, X, Lissner, L, Lorbeer, R, Lozano, JE, Lundqvist, A, Lytsy, P, Ma, G, Machado-Coelho, GL, Machi, S, Maggi, S, Makdisse, M, Mallikharjuna v, K, Manios, Y, Manzato, E, Margozzini, P, Marques-Vidal, P, Martorell, R, Masoodi, SR, Matsha, TE, Mbanya, JC, McFarlane, SR, McGarvey, ST, McLachlan, S, McNulty, BA, Mediene-Benchekor, S, Meirhaeghe, A, Menezes, AM, Merat, S, Meshram, II, Mi, J, Miquel, JF, Mohamed, MK, Mohammad, K, Mohan, V, Mohd Yusoff, MF, Møller, NC, Molnar, D, Mondo, CK, Moreno, LA, Morgan, K, Moschonis, G, Mossakowska, M, Mostafa, A, Mota, J, Muiesan, ML, Müller-Nurasyid, M, Mursu, J, Nagel, G, Námešná, J, Nang, EE, Nangia, VB, Navarrete-Muñoz, EM, Ndiaye, NC, Nervi, F, Nguyen, ND, Nieto-Martínez, RE, Alvarado, L, Ning, G, Ninomiya, T, Noale, M, Noto, D, Ochoa-Avilés, M, Oh, K, Onat, A, Osmond, C, Otero, JA, Palmieri, L, Panda-Jonas, S, Panza, F, Parsaeian, M, Peixoto, SV, Pereira, AC, Peters, A, Peykari, N, Pilav, A, Pitakaka, F, Piwonska, A, Piwonski, J, Plans-Rubió, P, Porta, M, Portegies, ML, Poustchi, H, Pradeepa, R, Price, JF, Punab, M, Qasrawi, RF, Qorbani, M, Raitakari, O, Ramachandra Rao, S, Ramachandran, A, Ramos, R, Rampal, S, Rathmann, W, Redon, J, Reganit, PF, Rigo, F, Robinson, SM, Robitaille, C, Rodríguez, LA, Rodríguez-Artalejo, F, del Cristo Rodriguez-Perez, M, Rojas-Martinez, R, Romaguera, D, Rosengren, A, Rubinstein, A, Rui, O, Ruiz-Betancourt, BS, Rutkowski, M, Sabanayagam, C, Sachdev, HS, Saidi, O, Sakarya, S, Salanave, B, Salonen, JT, Salvetti, M, Sánchez-Abanto, J, Santos, RN, Santos, R, Sardinha, LB, Scazufca, M, Schargrodsky, H, Scheidt-Nave, C, Shibuya, K, Shin, Y, Shiri, R, Siantar, R, Sibai, AM, Simon, M, Simons, J, Simons, LA, Sjostrom, M, Slowikowska-Hilczer, J, Slusarczyk, P, Smeeth, L, Snijder, MB, Solfrizzi, V, Sonestedt, E, Soumare, A, Staessen, JA, Steene-Johannessen, J, Stehle, P, Stein, AD, Stessman, J, Stöckl, D, Stokwiszewski, J, Strufaldi, MW, Sun, CA, Sundström, J, Suriyawongpaisal, P, Sy, RG, Tai, ES, Tarawneh, M, Tarqui-Mamani, CB, Thijs, L, Tolstrup, JS, Topbas, M, Torrent, M, Traissac, P, Trinh, OT, Tulloch-Reid, MK, Tuomainen, TP, Turley, ML, Tzourio, C, Ueda, P, Ukoli, FM, Ulmer, H, Valdivia, G, van Valkengoed, IG, Vanderschueren, D, Vanuzzo, D, Vega, T, Velasquez-Melendez, G, Veronesi, G, Verschuren, M, Vioque, J, Virtanen, J, Visvikis-Siest, S, Viswanathan, B, Vollenweider, P, Voutilainen, S, Wade, AN, Wagner, A, Walton, J, Mohamud, WN, Wang, MD, Wang, YX, Wannamethee, SG, Weerasekera, D, Whincup, PH, Widhalm, K, Wiecek, A, Wilks, RJ, Willeit, J, Wojtyniak, B, Wong, TY, Woo, J, Woodward, M, Wu, AG, Wu, FC, Wu, SL, Xu, H, Yang, X, Ye, X, Yoshihara, A, Younger-Coleman, NO, Zambon, S, Zargar, AH, Zdrojewski, T, Zhao, W, and Zheng, Y

Published
2015
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41. Analysis of rare disruptive germline mutations in 2135 enriched BRCA-negative breast cancers excludes additional high-impact susceptibility genes

Author

Loveday, C., primary, Garrett, A., additional, Law, P., additional, Hanks, S., additional, Poyastro-Pearson, E., additional, Adlard, J.W., additional, Barwell, J., additional, Berg, J., additional, Brady, A.F., additional, Brewer, C., additional, Chapman, C., additional, Cook, J., additional, Davidson, R., additional, Donaldson, A., additional, Douglas, F., additional, Greenhalgh, L., additional, Henderson, A., additional, Izatt, L., additional, Kumar, A., additional, Lalloo, F., additional, Miedzybrodzka, Z., additional, Morrison, P.J., additional, Paterson, J., additional, Porteous, M., additional, Rogers, M.T., additional, Walker, L., additional, Eccles, D., additional, Evans, D.G., additional, Snape, K., additional, Hanson, H., additional, Houlston, R.S., additional, Turnbull, C., additional, Ardern-Jones, A., additional, Adlard, J., additional, Ahmed, M., additional, Attard, G., additional, Bailey, K., additional, Bancroft, E., additional, Bardsley, C., additional, Barton, D., additional, Bartlett, M., additional, Baxter, L., additional, Belk, R., additional, Bernhard, B., additional, Bishop, T., additional, Boyes, L., additional, Bradshaw, N., additional, Brant, S., additional, Brice, G., additional, Bromilow, G., additional, Brooks, C., additional, Bruce, A., additional, Bulman, B., additional, Burgess, L., additional, Campbell, J., additional, Canham, N., additional, Castle, B., additional, Cetnarskyj, R., additional, Claber, O., additional, Coates, N., additional, Cole, T., additional, Collins, A., additional, Coulson, S., additional, Crawford, G., additional, Cruger, D., additional, Cummings, C., additional, D’Mello, L., additional, Day, L., additional, Dell, B., additional, Dolling, C., additional, Dorkins, H., additional, Downing, S., additional, Drummond, S., additional, Dubras, C., additional, Dunlop, J., additional, Durrell, S., additional, Eddy, C., additional, Edwards, M., additional, Edwards, E., additional, Edwardson, J., additional, Eeles, R., additional, Ellis, I., additional, Elmslie, F., additional, Evans, G., additional, Gibbons, B., additional, Gardiner, C., additional, Ghali, N., additional, Giblin, C., additional, Gibson, S., additional, Goff, S., additional, Goodman, S., additional, Goudie, D., additional, Grier, J., additional, Gregory, H., additional, Halliday, S., additional, Hardy, R., additional, Hartigan, C., additional, Heaton, T., additional, Higgins, C., additional, Hodgson, S., additional, Homfray, T., additional, Horrigan, D., additional, Houghton, C., additional, Hughes, L., additional, Hunt, V., additional, Irvine, L., additional, Jacobs, C., additional, James, S., additional, James, M., additional, Jeffers, L., additional, Jobson, I., additional, Jones, W., additional, Kennedy, M.J., additional, Kenwrick, S., additional, Kightley, C., additional, Kirk, C., additional, Kirk, E., additional, Kivuva, E., additional, Kohut, K., additional, Kosicka-Slawinska, M., additional, Kulkarni, A., additional, Lambord, N., additional, Langman, C., additional, Leonard, P., additional, Levene, S., additional, Locker, S., additional, Logan, P., additional, Longmuir, M., additional, Lucassen, A., additional, Lyus, V., additional, Magee, A., additional, Male, A., additional, Mansour, S., additional, McBride, D., additional, McCann, E., additional, McConnell, V., additional, McEntagart, M., additional, McKeown, C., additional, McLeish, L., additional, McLeod, D., additional, Melville, A., additional, Mercer, L., additional, Mercer, C., additional, Mitra, A., additional, Murday, V., additional, Murray, A., additional, Myhill, K., additional, Myring, J., additional, O'Hara, E., additional, Pearson, P., additional, Pichert, G., additional, Platt, K., additional, Pottinger, C., additional, Price, S., additional, Protheroe, L., additional, Pugh, S., additional, Quarrell, O., additional, Randhawa, K., additional, Riddick, C., additional, Robertson, L., additional, Robinson, A., additional, Roffey-Johnson, V., additional, Rogers, M., additional, Rose, S., additional, Rowe, S., additional, Schofield, A., additional, Rahman, N., additional, Saya, S., additional, Scott, G., additional, Scott, J., additional, Searle, A., additional, Shanley, S., additional, Sharif, S., additional, Shaw, A., additional, Shaw, J., additional, Shea-Simonds, J., additional, Side, L., additional, Sillibourne, J., additional, Simon, K., additional, Simpson, S., additional, Slater, S., additional, Smalley, S., additional, Smith, K., additional, Snadden, L., additional, Soloway, J., additional, Stait, Y., additional, Stayner, B., additional, Steel, M., additional, Steel, C., additional, Stewart, H., additional, Stirling, D., additional, Thomas, M., additional, Thomas, S., additional, Tomkins, S., additional, Turner, H., additional, Vandersteen, A., additional, Wakeling, E., additional, Waldrup, F., additional, Watt, C., additional, Watts, S., additional, Webber, A., additional, Whyte, C., additional, Wiggins, J., additional, Williams, E., additional, and Winchester, L., additional

Published
2022
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44. The Relationship Between Special Education Placement and High School Outcomes.

Author

Cole, Sandi M., Murphy, Hardy R., Frisby, Michael B., and Robinson, James

Subjects
*SPECIAL education, *SECONDARY education, *PROPENSITY score matching, *STUDENTS with disabilities, *JOB vacancies
Abstract

Propensity score matching was used to create intervention and comparison groups to compare academic outcomes of students with disabilities in the U.S. state of Indiana placed in more inclusive settings with those placed in less inclusive settings. Student and school demographic and outcome data were analyzed from the eighth grade in 2013 through graduation in 2018. Students with disabilities spending 80% more time in inclusive classrooms did better in reading and math than peers spending more time in special education classrooms. The study shows differences in diploma types of students in more inclusive settings than those in less inclusive settings, indicating that students in inclusive settings engage in more rigorous course of study and are more prepared for successful post-secondary educational and employment opportunities. [ABSTRACT FROM AUTHOR]

Published
2023
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47. Operational definition of Active and Healthy Ageing (AHA): A conceptual framework

Author

Bousquet, Jean, Kuh, D., Bewick, M., Standberg, T., Farrell, J., Pengelly, R., Joel, M. E., Rodriguez Mañas, L., Mercier, J., Bringer, J., Camuzat, T., Bourret, R., Bedbrook, A., Kowalski, M. L., Samolinski, B., Bonini, S., Brayne, C., Michel, J. P., Venne, J., Viriot-Durandal, P., Alonso, J., Avignon, A., Ben-Shlomo, Y., Bousquet, P. J., Combe, B., Cooper, R., Hardy, R., Iaccarino, G., Keil, T., Kesse-Guyot, E., Momas, I., Ritchie, K., Robine, J. M., Thijs, C., Tischer, C., Vellas, B., Zaidi, A., Alonso, F., Andersen Ranberg, K., Andreeva, V., Ankri, J., Arnavielhe, S., Arshad, H., Augé, P., Berr, C., Bertone, P., Blain, H., Blasimme, A., Buijs, G. J., Caimmi, D., Carriazo, A., Cesario, A., Coletta, J., Cosco, T., Criton, M., Cuisinier, F., Demoly, P., Fernandez-Nocelo, S., Fougère, B., Garcia-Aymerich, J., Goldberg, M., Guldemond, N., Gutter, Z., Harman, D., Hendry, A., Heve, D., Illario, M., Jeande, C., Krauss-Etschmann, S., Krys, O., Kula, D., Laune, D., Lehmann, S., Maier, D., Malva, J., Matignon, P., Melen, E., Mercier, G., Moda, G., Nizinkska, A., Nogues, M., O’Neill, M., Pelissier, J. Y., Poethig, D., Porta, D., Postma, D., Puisieux, F., Richards, M., Robalo-Cordeiro, C., Romano, V., Roubille, F., Schulz, H., Scott, A., Senesse, P., Slagter, S., Smit, H. A., Somekh, D., Stafford, M., Suanzes, J., Todo-Bom, A., Touchon, J., Traver-Salcedo, V., Van Beurden, M., Varraso, R., Vergara, I., Villalba-Mora, E., Wilson, N., Wouters, E., and Zins, M.

Published
2015
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48. The Lick Observatory Supernova Search follow-up program: photometry data release of 70 SESNe

Author

Zheng, WK, Zheng, WK, Stahl, BE, De Jaeger, T, Filippenko, AV, Wang, SQ, Gan, WP, Brink, TG, Altunin, I, Baer-Way, R, Bigley, A, Blanchard, K, Blanchard, PK, Bradley, J, Cargill, SK, Casper, C, Chapman, T, Chander, V, Channa, S, Choi, BY, Choksi, N, Chu, M, Clubb, KI, Cohen, DP, Dalba, PA, Degraw, A, De Kouchkovsky, M, Ellison, M, Falcon, E, Fox, OD, Fuller, K, Ganeshalingam, M, Girish, N, Gould, C, Halevi, G, Halle, A, Hayakawa, KT, Hardy, R, Hestenes, J, Hoffman, AM, Hyland, M, Jeffers, BT, Jennings, C, Kandrashoff, MT, Khodanian, A, Kim, M, Kim, H, Kislak, ME, Krishnan, D, Kumar, S, Kumar, SG, Leja, J, Leonard, EJ, Li, GZ, Li, W, Lian, JS, Liu, E, Lowe, TB, Lu, P, Ma, E, Mason, MN, May, M, McAllister, K, McGinness, E, Modak, S, Molloy, J, Murakami, YS, Nayak, O, Perera, D, Pina, K, Punjabi, D, Rikhter, A, Ross, TW, Sipple, J, Soler, C, Stegman, S, Stephens, H, Sunseri, J, Tang, K, Taylor, S, Thrasher, P, Van Dyk, SD, Wang, XG, Wayland, J, Wilkins, A, Yagubyan, A, Yuk, H, Yunus, S, Zhang, KD, Zheng, WK, Zheng, WK, Stahl, BE, De Jaeger, T, Filippenko, AV, Wang, SQ, Gan, WP, Brink, TG, Altunin, I, Baer-Way, R, Bigley, A, Blanchard, K, Blanchard, PK, Bradley, J, Cargill, SK, Casper, C, Chapman, T, Chander, V, Channa, S, Choi, BY, Choksi, N, Chu, M, Clubb, KI, Cohen, DP, Dalba, PA, Degraw, A, De Kouchkovsky, M, Ellison, M, Falcon, E, Fox, OD, Fuller, K, Ganeshalingam, M, Girish, N, Gould, C, Halevi, G, Halle, A, Hayakawa, KT, Hardy, R, Hestenes, J, Hoffman, AM, Hyland, M, Jeffers, BT, Jennings, C, Kandrashoff, MT, Khodanian, A, Kim, M, Kim, H, Kislak, ME, Krishnan, D, Kumar, S, Kumar, SG, Leja, J, Leonard, EJ, Li, GZ, Li, W, Lian, JS, Liu, E, Lowe, TB, Lu, P, Ma, E, Mason, MN, May, M, McAllister, K, McGinness, E, Modak, S, Molloy, J, Murakami, YS, Nayak, O, Perera, D, Pina, K, Punjabi, D, Rikhter, A, Ross, TW, Sipple, J, Soler, C, Stegman, S, Stephens, H, Sunseri, J, Tang, K, Taylor, S, Thrasher, P, Van Dyk, SD, Wang, XG, Wayland, J, Wilkins, A, Yagubyan, A, Yuk, H, Yunus, S, and Zhang, KD

Abstract

We present BVRI and unfiltered (Clear) light curves of 70 stripped-envelope supernovae (SESNe), observed between 2003 and 2020, from the Lick Observatory Supernova Search follow-up program. Our SESN sample consists of 19 spectroscopically normal SNe Ib, 2 peculiar SNe Ib, six SNe Ibn, 14 normal SNe Ic, 1 peculiar SN Ic, 10 SNe Ic-BL, 15 SNe IIb, 1 ambiguous SN IIb/Ib/c, and 2 superluminous SNe. Our follow-up photometry has (on a per-SN basis) a mean coverage of 81 photometric points (median of 58 points) and a mean cadence of 3.6 d (median of 1.2 d). From our full sample, a subset of 38 SNe have pre-maximum coverage in at least one passband, allowing for the peak brightness of each SN in this subset to be quantitatively determined. We describe our data collection and processing techniques, with emphasis toward our automated photometry pipeline, from which we derive publicly available data products to enable and encourage further study by the community. Using these data products, we derive host-galaxy extinction values through the empirical colour evolution relationship and, for the first time, produce accurate rise-time measurements for a large sample of SESNe in both optical and infrared passbands. By modelling multiband light curves, we find that SNe Ic tend to have lower ejecta masses and lower ejecta velocities than SNe Ib and IIb, but higher 56Ni masses.

Published
2022

49. POS0056 GLOBAL STEROID METABOLISM IN MACROPHAGES: SHAPING INFLAMMATORY FUNCTION AND DISEASE ACTIVITY IN RHEUMATOID ARTHRITIS

Author

Martin, C. S., primary, Singh Kalirai, M., additional, Crastin, A., additional, Somma, D., additional, Kurowska-Stolarska, M., additional, Turner, J. D., additional, Schiffer, L., additional, Gilligan, L. C., additional, Taylor, A. E., additional, Scheel-Toellner, D., additional, Raza, K., additional, Filer, A., additional, Jones, S., additional, Arlt, W., additional, Hewison, M., additional, and Hardy, R. S., additional

Published
2022
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