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2,753 results on '"Wonnacott, A"'

2. Methodological Reconstruction of Historical Landslide Tsunamis Using Bayesian Inference

Author

Wonnacott, Raelynn, Stewart, Dallin, Whitehead, Jared P, and Harris, Ronald A

Subjects
Physics - Geophysics, Mathematical Physics
Abstract

Indonesia is one of the world's most densely populated regions and lies among the epicenters of Earth's greatest natural hazards. Effectively reducing the disaster potential of these hazards through resource allocation and preparedness first requires an analysis of the risk factors of the region. Since destructive tsunamis present one of the most eminent dangers to coastal communities, understanding their sources and geological history is necessary to determine the potential future risk. Inspired by results from Cummins et al. 2020, and previous efforts that identified source parameters for earthquake-generated tsunamis, we consider landslide-generated tsunamis. This is done by constructing a probability distribution of potential landslide sources based on anecdotal observations of the 1852 Banda Sea tsunami, using Bayesian inference and scientific computing. After collecting over 100,000 samples (simulating 100,000 landslide induced tsunamis), we conclude that a landslide event provides a reasonable match to the tsunami reported in the anecdotal accounts. However, the most viable landslides may push the boundaries of geological plausibility. Future work creating a joint landslide-earthquake model may compensate for the weaknesses associated with an individual landslide or earthquake source event.

Published
2024

3. Language Development beyond the Here-and-Now: Iconicity and Displacement in Child-Directed Communication

Author

Yasamin Motamedi, Margherita Murgiano, Beata Grzyb, Yan Gu, Viktor Kewenig, Ricarda Brieke, Ed Donnellan, Chloe Marshall, Elizabeth Wonnacott, Pamela Perniss, and Gabriella Vigliocco

Abstract

Most language use is displaced, referring to past, future, or hypothetical events, posing the challenge of how children learn what words refer to when the referent is not physically available. One possibility is that iconic cues that imagistically evoke properties of absent referents support learning when referents are displaced. In an audio-visual corpus of caregiver-child dyads, English-speaking caregivers interacted with their children (N = 71, 24-58 months) in contexts in which the objects talked about were either familiar or unfamiliar to the child, and either physically present or displaced. The analysis of the range of vocal, manual, and looking behaviors caregivers produced suggests that caregivers used iconic cues especially in displaced contexts and for unfamiliar objects, using other cues when objects were present.

Published
2024
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4. The Effects of Linear Order in Category Learning: Some Replications of Ramscar et al. (2010) and Their Implications for Replicating Training Studies

Author

Eva Viviani, Michael Ramscar, and Elizabeth Wonnacott

Abstract

Ramscar, Yarlett, Dye, Denny, and Thorpe (2010) showed how, consistent with the predictions of error-driven learning models, the order in which stimuli are presented in training can affect category learning. Specifically, learners exposed to artificial language input where objects preceded their labels learned the discriminating features of categories better than learners exposed to input where labels preceded objects. We sought to replicate this finding in two online experiments employing the same tests used originally: A four pictures test (match a label to one of four pictures) and a four labels test (match a picture to one of four labels). In our study, only findings from the four pictures test were consistent with the original result. Additionally, the effect sizes observed were smaller, and participants over-generalized high-frequency category labels more than in the original study. We suggest that although Ramscar, Yarlett, Dye, Denny, and Thorpe (2010) feature-label order predictions were derived from error-driven learning, they failed to consider that this mechanism also predicts that performance in any training paradigm must inevitably be influenced by participant prior experience. We consider our findings in light of these factors, and discuss implications for the generalizability and replication of training studies.

Published
2024
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5. Rethinking Probabilities: Why Corpus Frequencies Cannot Capture Speakers' Dynamic Linguistic Behavior

Author

Kemper, Santina Simone, Jenkins, Holly Elizabeth, Wonnacott, Elizabeth, and Ramscar, Michael

Subjects
Linguistics, Psychology, Language Production, Language understanding, Predictive Processing
Abstract

Because information theory equates information with event occurrence probabilities, when applying its methods, language researchers typically take the information provided by words to be their relative frequencies in a corpus. This implicitly assumes words occur uniformly across contexts, however empirically, word distributions are bursty: the likelihood of most words appearing in most contexts is small, whereas the likelihood of a word recurring in context is much higher. In an elicitation study we examined whether speakers are sensitive to the dynamic word occurrence probabilities this implies. Consistent with proposals that prenominal adjectives increase noun predictability, participants produced numerous seemingly redundant adjectives prior to unambiguous nouns at first mention. However, despite receiving no feedback, they produced significantly fewer adjectives before subsequent mentions of the same nouns, indicating they had re-evaluated their probabilities. These results support the idea that prenominal adjectives facilitate efficient communication, and that speakers' representations of lexical probabilities are dynamic.

Published
2024

6. A tale of two faults: Statistical reconstruction of the 1820 Flores Sea earthquake using tsunami observations alone

Author

Paskett, T., Whitehead, J. P., Harris, R. A., Ashcroft, C., Krometis, J. A., Sorensen, I., and Wonnacott, R.

Subjects
Physics - Geophysics
Abstract

Using a Bayesian approach we compare anecdotal tsunami runup observations from the 29 December 1820 Flores Sea earthquake with close to 200,000 tsunami simulations to determine the most probable earthquake parameters causing the tsunami. Using a dual hypothesis of the source earthquake either originating from the Flores Thrust or the Walanae/Selayar Fault, we found that neither source perfectly matches the observational data, particularly while satisfying seismic constraints of the region. However, there is clear quantitative evidence that a major earthquake on the Walanae/Selayar Fault more closely aligns with historical records of the tsunami, and earthquake shaking. The simulated data available from this study alludes to the potential for a different source in the region or the occurrence of an earthquake near where both faults potentially merge and simultaneously rupture similar to the 2016 Kaikoura, New Zealand event., Comment: 22 pages, 9 figures

Published
2023

7. The persistent homology of genealogical networks

Author

Boyd, Zachary M., Callor, Nick, Gledhill, Taylor, Jenkins, Abigail, Snellman, Robert, Webb, Benjamin Z., and Wonnacott, Raelynn

Subjects
Quantitative Biology - Molecular Networks, Computer Science - Discrete Mathematics, Physics - Physics and Society
Abstract

Genealogical networks (i.e. family trees) are of growing interest, with the largest known data sets now including well over one billion individuals. Interest in family history also supports an 8.5 billion dollar industry whose size is projected to double within 7 years (FutureWise report HC1137). Yet little mathematical attention has been paid to the complex network properties of genealogical networks, especially at large scales. The structure of genealogical networks is of particular interest due to the practice of forming unions, e.g. marriages, that are typically well outside one's immediate family. In most other networks, including other social networks, no equivalent restriction exists on the distance at which relationships form. To study the effect this has on genealogical networks we use persistent homology to identify and compare the structure of 101 genealogical and 31 other social networks. Specifically, we introduce the notion of a network's persistence curve, which encodes the network's set of persistence intervals. We find that the persistence curves of genealogical networks have a distinct structure when compared to other social networks. This difference in structure also extends to subnetworks of genealogical and social networks suggesting that, even with incomplete data, persistent homology can be used to meaningfully analyze genealogical networks. Here we also describe how concepts from genealogical networks, such as common ancestor cycles, are represented using persistent homology. We expect that persistent homology tools will become increasingly important in genealogical exploration as popular interest in ancestry research continues to expand.

Published
2023

9. The Impact of Multi-Word Units in Early Foreign Language Learning and Teaching Contexts: A Systematic Review

Author

Schulz, Johannes, Hamilton, Catherine, Wonnacott, Elizabeth, and Murphy, Victoria

Abstract

This systematic review reports on research investigating the impact of multi-word unit (MWU) input on young learners' second language (L2) attainment in instructed settings. Recent findings suggest that L2 learners can generalise from MWU input, abstract patterns and employ such schemata productively via slot-filling, indicating that MWUs are key catalysts of learners' L2 development. Simultaneously, primary school L2 instruction is on the rise worldwide and the importance of MWUs is acknowledged in curricula, teacher education and teaching materials. Therefore, the incentive of this review is to systematically report the state of the art of research regarding the impact of MWU instruction in early L2 teaching contexts. The review covers English, German and French research into typically developing monolingual children aged 5-12 learning an L2 in instructed teaching settings. Only two of the total results (n = 2233) met the inclusion criteria. Following quality assessment using the Mixed Methods Appraisal Tool and based on a narrative synthesis of available results, we cannot report trustworthy evidence of the effectiveness of teaching MWUs to young L2 learners. We highlight the lack of research evidence and conclude that existing research lacks robust evidence that MWU input already established in teaching contexts has a measurable effect on specific aspects of students' L2 attainment, such as productive skills. Although we promote MWU's potentially facilitating role in L2 development, we call for more classroom-based intervention research on MWUs in primary school contexts to enable much-needed evidence-based recommendations for L2 teaching to support L2 learning outcomes in primary schools.

Published
2023
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10. Dissolving yourself in connection to others: shared experiences of ego attenuation and connectedness during group VR experiences can be comparable to psychedelics

Author

Glowacki, David R., Williams, Rhoslyn Roebuck, Maynard, Olivia M., Pike, James E., Freire, Rachel, Wonnacott, Mark D., and Chatziapostolou, Mike

Subjects
Computer Science - Human-Computer Interaction
Abstract

With a growing body of research highlighting the therapeutic potential of experiential phenomenology which diminishes egoic identity and increases one's sense of connectedness, there is significant interest in how to elicit such 'self-transcendent experiences' (STEs) in laboratory contexts. Psychedelic drugs (YDs) have proven particularly effective in this respect, producing subjective phenomenology which reliably elicits intense STEs. With virtual reality (VR) emerging as a powerful tool for constructing new perceptual environments, we describe a VR framework called 'Isness-distributed' (Isness-D) which harnesses the unique affordances of distributed multi-person VR to blur conventional self-other boundaries. Within Isness-D, groups of participants co-habit a shared virtual space, collectively experiencing their bodies as luminous energetic essences with diffuse spatial boundaries. It enables moments of 'energetic coalescence', a new class of embodied phenomenological intersubjective experience where bodies can fluidly merge, enabling participants to have an experience of including multiple others within their self-representation. To evaluate Isness-D, we adopted a citizen science approach, coordinating an international network of Isness-D 'nodes'. We analyzed the results (N = 58) using 4 different self-report scales previously applied to analyze subjective YD phenomenology (the inclusion of community in self scale, ego-dissolution inventory, communitas scale, and the MEQ30 mystical experience questionnaire). Despite the complexities associated with a distributed experiment like this, the Isness-D scores on all 4 scales were statistically indistinguishable from recently published YD studies, demonstrating that distributed VR can be used to design intersubjective STEs where people dissolve their sense of self in the connection to others.

Published
2021

11. Analyzing and Modeling the Dynamic Electrical Characteristics of Nanocomposite Large-Range Strain Gauges

Author

Alex M. Wonnacott, Anton E. Bowden, Ulrike H. Mitchell, and David T. Fullwood

Subjects
nanocomposites, viscoelasticity, high-deflection strain gauges, modeling, Chemical technology, TP1-1185
Abstract

Flexible high-deflection strain gauges have been demonstrated to be cost-effective and accessible sensors for capturing human biomechanical deformations. However, the interpretation of these sensors is notably more complex compared to conventional strain gauges, particularly during dynamic motion. In addition to the non-linear viscoelastic behavior of the strain gauge material itself, the dynamic response of the sensors is even more difficult to capture due to spikes in the resistance during strain path changes. Hence, models for extracting strain from resistance measurements of the gauges most often only work well under quasi-static conditions. The present work develops a novel model that captures the complete dynamic strain–resistance relationship of the sensors, including resistance spikes, during cyclical movements. The forward model, which converts strain to resistance, comprises the following four parts to accurately capture the different aspects of the sensor response: a quasi-static linear model, a spike magnitude model, a long-term creep decay model, and a short-term decay model. The resulting sensor-specific model accurately predicted the resistance output, with an R-squared value of 0.90. Additionally, an inverse model which predicts the strain vs. time data that would result in the observed resistance data was created. The inverse model was calibrated for a particular sensor from a small amount of cyclic data during a single test. The inverse model accurately predicted key strain characteristics with a percent error as low as 0.5%. Together, the models provide new functionality for interpreting high-deflection strain sensors during dynamic strain measurement applications, including wearables sensors used for biomechanical modeling and analysis.

Published
2024
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12. UK Kidney Association Clinical Practice Guideline: Sodium-Glucose Co-transporter-2 (SGLT-2) Inhibition in Adults with Kidney Disease 2023 UPDATE

Author

Alistair J. Roddick, Alexa Wonnacott, David Webb, Angela Watt, Michael A. Watson, Natalie Staplin, Alex Riding, Eirini Lioudaki, Apexa Kuverji, Mohsen El Kossi, Patrick Holmes, Matt Holloway, Donald Fraser, Chris Carvalho, James O. Burton, Sunil Bhandari, William G. Herrington, and Andrew H. Frankel

Subjects
Guideline, Chronic kidney disease, Acute kidney injury, Gliflozin, Diseases of the genitourinary system. Urology, RC870-923
Abstract

Abstract Large placebo-controlled trials have demonstrated kidney and cardiovascular clinical benefits of SGLT-2 inhibitors. Data from the EMPA-KIDNEY and DELIVER trials and associated meta-analyses triggered an update to the UK Kidney Association Clinical Practice Guideline on Sodium-Glucose Co-transporter-2 (SGLT-2) Inhibition in Adults with Kidney Disease. We provide a summary of the full guideline and highlight the rationale for recent updates. The use of SGLT-2 inhibitors in people with specific medical conditions, including type 1 diabetes, kidney transplants, and people admitted to hospital with heart failure is also considered, along with Recommendations for future research and Recommendations for implementation. A full “lay” summary of the guidelines is provided as an appendix to ensure that these guidelines are accessible and understandable to people who are not medical professionals.

Published
2023
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13. Effects of empagliflozin on progression of chronic kidney disease: a prespecified secondary analysis from the empa-kidney trial

Author

Staplin, N, Haynes, R, Judge, PK, Wanner, C, Green, JB, Emberson, J, Preiss, D, Mayne, KJ, Ng, SYA, Sammons, E, Zhu, D, Hill, M, Stevens, W, Wallendszus, K, Brenner, S, Cheung, AK, Liu, ZH, Li, J, Hooi, LS, Liu, WJ, Kadowaki, T, Nangaku, M, Levin, A, Cherney, D, Maggioni, AP, Pontremoli, R, Deo, R, Goto, S, Rossello, X, Tuttle, KR, Steubl, D, Petrini, M, Seidi, S, Landray, MJ, Baigent, C, Herrington, WG, Abat, S, Abd Rahman, R, Abdul Cader, R, Abdul Hafidz, MI, Abdul Wahab, MZ, Abdullah, NK, Abdul-Samad, T, Abe, M, Abraham, N, Acheampong, S, Achiri, P, Acosta, JA, Adeleke, A, Adell, V, Adewuyi-Dalton, R, Adnan, N, Africano, A, Agharazii, M, Aguilar, F, Aguilera, A, Ahmad, M, Ahmad, MK, Ahmad, NA, Ahmad, NH, Ahmad, NI, Ahmad Miswan, N, Ahmad Rosdi, H, Ahmed, I, Ahmed, S, Aiello, J, Aitken, A, AitSadi, R, Aker, S, Akimoto, S, Akinfolarin, A, Akram, S, Alberici, F, Albert, C, Aldrich, L, Alegata, M, Alexander, L, Alfaress, S, Alhadj Ali, M, Ali, A, Alicic, R, Aliu, A, Almaraz, R, Almasarwah, R, Almeida, J, Aloisi, A, Al-Rabadi, L, Alscher, D, Alvarez, P, Al-Zeer, B, Amat, M, Ambrose, C, Ammar, H, An, Y, Andriaccio, L, Ansu, K, Apostolidi, A, Arai, N, Araki, H, Araki, S, Arbi, A, Arechiga, O, Armstrong, S, Arnold, T, Aronoff, S, Arriaga, W, Arroyo, J, Arteaga, D, Asahara, S, Asai, A, Asai, N, Asano, S, Asawa, M, Asmee, MF, Aucella, F, Augustin, M, Avery, A, Awad, A, Awang, IY, Awazawa, M, Axler, A, Ayub, W, Azhari, Z, Baccaro, R, Badin, C, Bagwell, B, Bahlmann-Kroll, E, Bahtar, AZ, Bains, D, Bajaj, H, Baker, R, Baldini, E, Banas, B, Banerjee, D, Banno, S, Bansal, S, Barberi, S, Barnes, S, Barnini, C, Barot, C, Barrett, K, Barrios, R, Bartolomei Mecatti, B, Barton, I, Barton, J, Basily, W, Bavanandan, S, Baxter, A, Becker, L, Beddhu, S, Beige, J, Beigh, S, Bell, S, Benck, U, Beneat, A, Bennett, A, Bennett, D, Benyon, S, Berdeprado, J, Bergler, T, Bergner, A, Berry, M, Bevilacqua, M, Bhairoo, J, Bhandari, S, Bhandary, N, Bhatt, A, Bhattarai, M, Bhavsar, M, Bian, W, Bianchini, F, Bianco, S, Bilous, R, Bilton, J, Bilucaglia, D, Bird, C, Birudaraju, D, Biscoveanu, M, Blake, C, Bleakley, N, Bocchicchia, K, Bodine, S, Bodington, R, Boedecker, S, Bolduc, M, Bolton, S, Bond, C, Boreky, F, Boren, K, Bouchi, R, Bough, L, Bovan, D, Bowler, C, Bowman, L, Brar, N, Braun, C, Breach, A, Breitenfeldt, M, Brettschneider, B, Brewer, A, Brewer, G, Brindle, V, Brioni, E, Brown, C, Brown, H, Brown, L, Brown, R, Brown, S, Browne, D, Bruce, K, Brueckmann, M, Brunskill, N, Bryant, M, Brzoska, M, Bu, Y, Buckman, C, Budoff, M, Bullen, M, Burke, A, Burnette, S, Burston, C, Busch, M, Bushnell, J, Butler, S, Büttner, C, Byrne, C, Caamano, A, Cadorna, J, Cafiero, C, Cagle, M, Cai, J, Calabrese, K, Calvi, C, Camilleri, B, Camp, S, Campbell, D, Campbell, R, Cao, H, Capelli, I, Caple, M, Caplin, B, Cardone, A, Carle, J, Carnall, V, Caroppo, M, Carr, S, Carraro, G, Carson, M, Casares, P, Castillo, C, Castro, C, Caudill, B, Cejka, V, Ceseri, M, Cham, L, Chamberlain, A, Chambers, J, Chan, CBT, Chan, JYM, Chan, YC, Chang, E, Chant, T, Chavagnon, T, Chellamuthu, P, Chen, F, Chen, J, Chen, P, Chen, TM, Chen, Y, Cheng, C, Cheng, H, Cheng, MC, Ching, CH, Chitalia, N, Choksi, R, Chukwu, C, Chung, K, Cianciolo, G, Cipressa, L, Clark, S, Clarke, H, Clarke, R, Clarke, S, Cleveland, B, Cole, E, Coles, H, Condurache, L, Connor, A, Convery, K, Cooper, A, Cooper, N, Cooper, Z, Cooperman, L, Cosgrove, L, Coutts, P, Cowley, A, Craik, R, Cui, G, Cummins, T, Dahl, N, Dai, H, Dajani, L, D'Amelio, A, Damian, E, Damianik, K, Danel, L, Daniels, C, Daniels, T, Darbeau, S, Darius, H, Dasgupta, T, Davies, J, Davies, L, Davis, A, Davis, J, Davis, L, Dayanandan, R, Dayi, S, Dayrell, R, De Nicola, L, Debnath, S, Deeb, W, Degenhardt, S, DeGoursey, K, Delaney, M, DeRaad, R, Derebail, V, Dev, D, Devaux, M, Dhall, P, Dhillon, G, Dienes, J, Dobre, M, Doctolero, E, Dodds, V, Domingo, D, Donaldson, D, Donaldson, P, Donhauser, C, Donley, V, Dorestin, S, Dorey, S, Doulton, T, Draganova, D, Draxlbauer, K, Driver, F, Du, H, Dube, F, Duck, T, Dugal, T, Dugas, J, Dukka, H, Dumann, H, Durham, W, Dursch, M, Dykas, R, Easow, R, Eckrich, E, Eden, G, Edmerson, E, Edwards, H, Ee, LW, Eguchi, J, Ehrl, Y, Eichstadt, K, Eid, W, Eilerman, B, Ejima, Y, Eldon, H, Ellam, T, Elliott, L, Ellison, R, Epp, R, Er, A, Espino-Obrero, M, Estcourt, S, Estienne, L, Evans, G, Evans, J, Evans, S, Fabbri, G, Fajardo-Moser, M, Falcone, C, Fani, F, Faria-Shayler, P, Farnia, F, Farrugia, D, Fechter, M, Fellowes, D, Feng, F, Fernandez, J, Ferraro, P, Field, A, Fikry, S, Finch, J, Finn, H, Fioretto, P, Fish, R, Fleischer, A, Fleming-Brown, D, Fletcher, L, Flora, R, Foellinger, C, Foligno, N, Forest, S, Forghani, Z, Forsyth, K, Fottrell-Gould, D, Fox, P, Frankel, A, Fraser, D, Frazier, R, Frederick, K, Freking, N, French, H, Froment, A, Fuchs, B, Fuessl, L, Fujii, H, Fujimoto, A, Fujita, A, Fujita, K, Fujita, Y, Fukagawa, M, Fukao, Y, Fukasawa, A, Fuller, T, Funayama, T, Fung, E, Furukawa, M, Furukawa, Y, Furusho, M, Gabel, S, Gaidu, J, Gaiser, S, Gallo, K, Galloway, C, Gambaro, G, Gan, CC, Gangemi, C, Gao, M, Garcia, K, Garcia, M, Garofalo, C, Garrity, M, Garza, A, Gasko, S, Gavrila, M, Gebeyehu, B, Geddes, A, Gentile, G, George, A, George, J, Gesualdo, L, Ghalli, F, Ghanem, A, Ghate, T, Ghavampour, S, Ghazi, A, Gherman, A, Giebeln-Hudnell, U, Gill, B, Gillham, S, Girakossyan, I, Girndt, M, Giuffrida, A, Glenwright, M, Glider, T, Gloria, R, Glowski, D, Goh, BL, Goh, CB, Gohda, T, Goldenberg, R, Goldfaden, R, Goldsmith, C, Golson, B, Gonce, V, Gong, Q, Goodenough, B, Goodwin, N, Goonasekera, M, Gordon, A, Gordon, J, Gore, A, Goto, H, Gowen, D, Grace, A, Graham, J, Grandaliano, G, Gray, M, Greene, T, Greenwood, G, Grewal, B, Grifa, R, Griffin, D, Griffin, S, Grimmer, P, Grobovaite, E, Grotjahn, S, Guerini, A, Guest, C, Gunda, S, Guo, B, Guo, Q, Haack, S, Haase, M, Haaser, K, Habuki, K, Hadley, A, Hagan, S, Hagge, S, Haller, H, Ham, S, Hamal, S, Hamamoto, Y, Hamano, N, Hamm, M, Hanburry, A, Haneda, M, Hanf, C, Hanif, W, Hansen, J, Hanson, L, Hantel, S, Haraguchi, T, Harding, E, Harding, T, Hardy, C, Hartner, C, Harun, Z, Harvill, L, Hasan, A, Hase, H, Hasegawa, F, Hasegawa, T, Hashimoto, A, Hashimoto, C, Hashimoto, M, Hashimoto, S, Haskett, S, Hauske, SJ, Hawfield, A, Hayami, T, Hayashi, M, Hayashi, S, Hazara, A, Healy, C, Hecktman, J, Heine, G, Henderson, H, Henschel, R, Hepditch, A, Herfurth, K, Hernandez, G, Hernandez Pena, A, Hernandez-Cassis, C, Herzog, C, Hewins, S, Hewitt, D, Hichkad, L, Higashi, S, Higuchi, C, Hill, C, Hill, L, Himeno, T, Hing, A, Hirakawa, Y, Hirata, K, Hirota, Y, Hisatake, T, Hitchcock, S, Hodakowski, A, Hodge, W, Hogan, R, Hohenstatt, U, Hohenstein, B, Hooi, L, Hope, S, Hopley, M, Horikawa, S, Hosein, D, Hosooka, T, Hou, L, Hou, W, Howie, L, Howson, A, Hozak, M, Htet, Z, Hu, X, Hu, Y, Huang, J, Huda, N, Hudig, L, Hudson, A, Hugo, C, Hull, R, Hume, L, Hundei, W, Hunt, N, Hunter, A, Hurley, S, Hurst, A, Hutchinson, C, Hyo, T, Ibrahim, FH, Ibrahim, S, Ihana, N, Ikeda, T, Imai, A, Imamine, R, Inamori, A, Inazawa, H, Ingell, J, Inomata, K, Inukai, Y, Ioka, M, Irtiza-Ali, A, Isakova, T, Isari, W, Iselt, M, Ishiguro, A, Ishihara, K, Ishikawa, T, Ishimoto, T, Ishizuka, K, Ismail, R, Itano, S, Ito, H, Ito, K, Ito, M, Ito, Y, Iwagaitsu, S, Iwaita, Y, Iwakura, T, Iwamoto, M, Iwasa, M, Iwasaki, H, Iwasaki, S, Izumi, K, Izumi, T, Jaafar, SM, Jackson, C, Jackson, Y, Jafari, G, Jahangiriesmaili, M, Jain, N, Jansson, K, Jasim, H, Jeffers, L, Jenkins, A, Jesky, M, Jesus-Silva, J, Jeyarajah, D, Jiang, Y, Jiao, X, Jimenez, G, Jin, B, Jin, Q, Jochims, J, Johns, B, Johnson, C, Johnson, T, Jolly, S, Jones, L, Jones, S, Jones, T, Jones, V, Joseph, M, Joshi, S, Judge, P, Junejo, N, Junus, S, Kachele, M, Kadoya, H, Kaga, H, Kai, H, Kajio, H, Kaluza-Schilling, W, Kamaruzaman, L, Kamarzarian, A, Kamimura, Y, Kamiya, H, Kamundi, C, Kan, T, Kanaguchi, Y, Kanazawa, A, Kanda, E, Kanegae, S, Kaneko, K, Kang, HY, Kano, T, Karim, M, Karounos, D, Karsan, W, Kasagi, R, Kashihara, N, Katagiri, H, Katanosaka, A, Katayama, A, Katayama, M, Katiman, E, Kato, K, Kato, M, Kato, N, Kato, S, Kato, T, Kato, Y, Katsuda, Y, Katsuno, T, Kaufeld, J, Kavak, Y, Kawai, I, Kawai, M, Kawase, A, Kawashima, S, Kazory, A, Kearney, J, Keith, B, Kellett, J, Kelley, S, Kershaw, M, Ketteler, M, Khai, Q, Khairullah, Q, Khandwala, H, Khoo, KKL, Khwaja, A, Kidokoro, K, Kielstein, J, Kihara, M, Kimber, C, Kimura, S, Kinashi, H, Kingston, H, Kinomura, M, Kinsella-Perks, E, Kitagawa, M, Kitajima, M, Kitamura, S, Kiyosue, A, Kiyota, M, Klauser, F, Klausmann, G, Kmietschak, W, Knapp, K, Knight, C, Knoppe, A, Knott, C, Kobayashi, M, Kobayashi, R, Kobayashi, T, Koch, M, Kodama, S, Kodani, N, Kogure, E, Koizumi, M, Kojima, H, Kojo, T, Kolhe, N, Komaba, H, Komiya, T, Komori, H, Kon, SP, Kondo, M, Kong, W, Konishi, M, Kono, K, Koshino, M, Kosugi, T, Kothapalli, B, Kozlowski, T, Kraemer, B, Kraemer-Guth, A, Krappe, J, Kraus, D, Kriatselis, C, Krieger, C, 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2024
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14. Impact of primary kidney disease on the effects of empagliflozin in patients with chronic kidney disease: secondary analyses of the EMPA-KIDNEY trial

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Judge, PK, Staplin, N, Mayne, KJ, Wanner, C, Green, JB, Hauske, SJ, Emberson, JR, Preiss, D, Ng, SYA, Roddick, AJ, Sammons, E, Zhu, D, Hill, M, Stevens, W, Wallendszus, K, Brenner, S, Cheung, AK, Liu, ZH, Li, J, Hooi, LS, Liu, WJ, Kadowaki, T, Nangaku, M, Levin, A, Cherney, D, Maggioni, AP, Pontremoli, R, Deo, R, Goto, S, Rossello, X, Tuttle, KR, Steubl, D, Massey, D, Landray, MJ, Baigent, C, Haynes, R, Herrington, WG, Abat, S, Abd Rahman, R, Abdul Cader, R, Abdul Hafidz, MI, Abdul Wahab, MZ, Abdullah, NK, Abdul-Samad, T, Abe, M, Abraham, N, Acheampong, S, Achiri, P, Acosta, JA, Adeleke, A, Adell, V, Adewuyi-Dalton, R, Adnan, N, Africano, A, Agharazii, M, Aguilar, F, Aguilera, A, Ahmad, M, Ahmad, MK, Ahmad, NA, Ahmad, NH, Ahmad, NI, Ahmad Miswan, N, Ahmad Rosdi, H, Ahmed, I, Ahmed, S, Aiello, J, Aitken, A, AitSadi, R, Aker, S, Akimoto, S, Akinfolarin, A, Akram, S, Alberici, F, Albert, C, Aldrich, L, Alegata, M, Alexander, L, Alfaress, S, Alhadj Ali, M, Ali, A, Alicic, R, Aliu, A, Almaraz, R, Almasarwah, R, Almeida, J, Aloisi, A, Al-Rabadi, L, Alscher, D, Alvarez, P, Al-Zeer, B, Amat, M, Ambrose, C, Ammar, H, An, Y, Andriaccio, L, Ansu, K, Apostolidi, A, Arai, N, Araki, H, Araki, S, Arbi, A, Arechiga, O, Armstrong, S, Arnold, T, Aronoff, S, Arriaga, W, Arroyo, J, Arteaga, D, Asahara, S, Asai, A, Asai, N, Asano, S, Asawa, M, Asmee, MF, Aucella, F, Augustin, M, Avery, A, Awad, A, Awang, IY, Awazawa, M, Axler, A, Ayub, W, Azhari, Z, Baccaro, R, Badin, C, Bagwell, B, Bahlmann-Kroll, E, Bahtar, AZ, Bains, D, Bajaj, H, Baker, R, Baldini, E, Banas, B, Banerjee, D, Banno, S, Bansal, S, Barberi, S, Barnes, S, Barnini, C, Barot, C, Barrett, K, Barrios, R, Bartolomei Mecatti, B, Barton, I, Barton, J, Basily, W, Bavanandan, S, Baxter, A, Becker, L, Beddhu, S, Beige, J, Beigh, S, Bell, S, Benck, U, Beneat, A, Bennett, A, Bennett, D, Benyon, S, Berdeprado, J, Bergler, T, Bergner, A, Berry, M, Bevilacqua, M, Bhairoo, J, Bhandari, S, Bhandary, N, Bhatt, A, Bhattarai, M, Bhavsar, M, Bian, W, Bianchini, F, Bianco, S, Bilous, R, Bilton, J, Bilucaglia, D, Bird, C, Birudaraju, D, Biscoveanu, M, Blake, C, Bleakley, N, Bocchicchia, K, Bodine, S, Bodington, R, Boedecker, S, Bolduc, M, Bolton, S, Bond, C, Boreky, F, Boren, K, Bouchi, R, Bough, L, Bovan, D, Bowler, C, Bowman, L, Brar, N, Braun, C, Breach, A, Breitenfeldt, M, Brettschneider, B, Brewer, A, Brewer, G, Brindle, V, Brioni, E, Brown, C, Brown, H, Brown, L, Brown, R, Brown, S, Browne, D, Bruce, K, Brueckmann, M, Brunskill, N, Bryant, M, Brzoska, M, Bu, Y, Buckman, C, Budoff, M, Bullen, M, Burke, A, Burnette, S, Burston, C, Busch, M, Bushnell, J, Butler, S, Büttner, C, Byrne, C, Caamano, A, Cadorna, J, Cafiero, C, Cagle, M, Cai, J, Calabrese, K, Calvi, C, Camilleri, B, Camp, S, Campbell, D, Campbell, R, Cao, H, Capelli, I, Caple, M, Caplin, B, Cardone, A, Carle, J, Carnall, V, Caroppo, M, Carr, S, Carraro, G, Carson, M, Casares, P, Castillo, C, Castro, C, Caudill, B, Cejka, V, Ceseri, M, Cham, L, 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Yahaya, H, Yalamanchili, H, Yamada, A, Yamada, N, Yamagata, K, Yamaguchi, M, Yamaji, Y, Yamamoto, A, Yamamoto, S, Yamamoto, T, Yamanaka, A, Yamano, T, Yamanouchi, Y, Yamasaki, N, Yamasaki, Y, Yamashita, C, Yamauchi, T, Yan, Q, Yanagisawa, E, Yang, F, Yang, L, Yano, S, Yao, S, Yao, Y, Yarlagadda, S, Yasuda, Y, Yiu, V, Yokoyama, T, Yoshida, S, Yoshidome, E, Yoshikawa, H, Young, A, Young, T, Yousif, V, Yu, H, Yu, Y, Yuasa, K, Yusof, N, Zalunardo, N, Zander, B, Zani, R, Zappulo, F, Zayed, M, Zemann, B, Zettergren, P, Zhang, H, Zhang, L, Zhang, N, Zhang, X, Zhao, J, Zhao, L, Zhao, S, Zhao, Z, Zhong, H, Zhou, N, Zhou, S, Zhu, L, Zhu, S, Zietz, M, Zippo, M, Zirino, F, and Zulkipli, FH

Published
2024
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15. Children's Knowledge of Multiple Word Meanings: Which Factors Count and for Whom?

Author

Booton, Sophie A., Wonnacott, Elizabeth, Hodgkiss, Alex, Mathers, Sandra, and Murphy, Victoria A.

Abstract

Most common words in English have multiple different meanings, but relatively little is known about why children grasp some meanings better than others. This study aimed to examine how variables at the child-level, wordform-level, and meaning-level impact knowledge of words with multiple meanings. In this study, 174 children aged 5- to 9-years-old completed a test of homonym knowledge, and measures of non-verbal intelligence and language background were collected. Psycholinguistic features of the wordforms tested were assessed through collecting adult ratings, corpus coding, and using existing databases. Logistic mixed effects models revealed that whilst the frequency of wordforms contributed to children's knowledge, so also did dominance and imageability of the separate meanings of the word. Predictors were similar for children with English as an Additional Language and English as a first language. This greater understanding of why some word meanings are known better than others has significant implications for vocabulary learning.

Published
2022
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16. Isness: Using Multi-Person VR to Design Peak Mystical-Type Experiences Comparable to Psychedelics

Author

Glowacki, David R., Wonnacott, Mark D., Freire, Rachel, Glowacki, Becca R., Gale, Ella M., Pike, James E., de Haan, Tiu, Chatziapostolou, Mike, and Metatla, Oussama

Subjects
Computer Science - Human-Computer Interaction
Abstract

Studies combining psychotherapy with psychedelic drugs (PsiDs) have demonstrated positive outcomes that are often associated with PsiDs' ability to induce 'mystical-type' experiences (MTEs) - i.e., subjective experiences whose characteristics include a sense of connectedness, transcendence, and ineffability. We suggest that both PsiDs and virtual reality can be situated on a broader spectrum of psychedelic technologies. To test this hypothesis, we used concepts, methods, and analysis strategies from PsiD research to design and evaluate 'Isness', a multi-person VR journey where participants experience the collective emergence, fluctuation, and dissipation of their bodies as energetic essences. A study (N=57) analyzing participant responses to a commonly used PsiD experience questionnaire (MEQ30) indicates that Isness participants had MTEs comparable to those reported in double-blind clinical studies after high doses of psilocybin & LSD. Within a supportive setting and conceptual framework, VR phenomenology can create the conditions for MTEs from which participants derive insight and meaning.

Published
2020
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17. A Bridge Anchored on Both Sides: Formal Deduction in Introductory CS, and Code Proofs in Discrete Math

Author

Wonnacott, David G. and Osera, Peter-Michael

Subjects
Computer Science - Programming Languages, Computer Science - Logic in Computer Science, K.3.2
Abstract

There is a sharp disconnect between the programming and mathematical portions of the standard undergraduate computer science curriculum, leading to student misunderstanding about how the two are related. We propose connecting the subjects early in the curriculum---specifically, in CS1 and the introductory discrete mathematics course---by using formal reasoning about programs as a bridge between them. This article reports on Haverford and Grinnell College's experience in constructing the end points of this bridge between CS1 and discrete mathematics. Haverford's long-standing "3-2-1" curriculum introduces code reasoning in conjunction with introductory programming concepts, and Grinnell's discrete mathematics introduces code reasoning as a motivation for logic and formal deduction. Both courses present code reasoning in a style based on symbolic code execution techniques from the programming language community, but tuned to address the particulars of each course. These courses rely primarily on traditional means of proof authoring with pen-and-paper. This is unsatisfactory for students who receive no feedback until grading on their work and instructors who must shoulder the burden of interpreting students' proofs and giving useful feedback. To this end, we also describe the current state of Orca, an in-development proof assistant for undergraduate education that we are developing to address these issues in our courses. Finally, in teaching our courses, we have discovered a number of educational research questions about the effectiveness of code reasoning in bridging the gap between programming and mathematics, and the ability of tools like \orca to support this pedagogy. We pose these research questions as next steps to formalize our initial experiences in our courses with the hope of eventually generalizing our approaches for wider adoption., Comment: 36 pages, including references; "experiments" section to be discussed at ICER 2019 work-in-progress session; prior material currently under review

Published
2019

18. Effects of Empagliflozin on Fluid Overload, Weight, and Blood Pressure in CKD

Author

Mayne, Kaitlin J., Staplin, Natalie, Keane, David F., Wanner, Christoph, Brenner, Susanne, Cejka, Vladimir, Stegbauer, Johannes, Judge, Parminder K., Preiss, David, Emberson, Jonathan, Trinca, Daniele, Dayanandan, Rejive, Lee, Ryonfa, Nolan, John, Omata, Akiko, Green, Jennifer B., Cherney, David Z.I., Hooi, Lai Seong, Pontremoli, Roberto, Tuttle, Katherine R., Lees, Jennifer S., Mark, Patrick B., Davies, Simon J., Hauske, Sibylle J., Steubl, Dominik, Brückmann, Martina, Landray, Martin J., Baigent, Colin, Haynes, Richard, Herrington, William G., Baigent, Colin, Landray, Martin J., Wanner, Christoph, Herrington, William G., Haynes, Richard, Green, Jennifer B., Hauske, Sibylle J., Brueckmann, Martina, Hopley, Mark, von-Eynatten, Maximillian, George, Jyothis, Brenner, Susanne, Cheung, Alfred K., Preiss, David, Liu, Zhi-Hong, Li, Jing, Hooi, Laiseong, Liu, Wen, Kadowaki, Takashi, Nangaku, Masaomi, Levin, Adeera, Cherney, David, Pontremoli, Roberto, Maggioni, Aldo P., Staplin, Natalie, Emberson, Jonathan, Hantel, Stefan, Goto, Shinya, Deo, Rajat, Tuttle, Katherine R., Hill, Michael, Judge, Parminder, Mayne, Kaitlin J., Ng, Sarah Y.A., Rossello, Xavier, Sammons, Emily, Zhu, Doreen, Sandercock, Peter, Bilous, Rudolf, Herzog, Charles, Whelton, Paul, Wittes, Janet, Bennett, Derrick, Achiri, Patricia, Ambrose, Chrissie, Badin, Cristina, Barton, Jill, Brown, Richard, Burke, Andy, Butler, Sebastian, Dayanandan, Rejive, Donaldson, Pia, Dykas, Robert, Fletcher, Lucy, Frederick, Kate, Kingston, Hannah, Gray, Mo, Harding, Emily, Hashimoto, Akiko, Howie, Lyn, Hurley, Susan, Lee, Ryonfa, Luker, Nik, Murphy, Kevin, Nakahara, Mariko, Nolan, John, Nunn, Michelle, Mulligan, Sorcha, Omata, Akiko, Pickworth, Sandra, Qiao, YanRu, Shah, Shraddha, Taylor, Karen, Timadjer, Alison, Willett, Monique, Wincott, Liz, Yan, Qin, Yu, Hui, Bowman, Louise, Chen, Fang, Clarke, Robert, Goonasekera, Michelle, Haynes, Richard, Herrington, William G., Judge, Parminder, Karsan, Waseem, Mafham, Marion, Mayne, Kaitlin J., Ng, Sarah Y. A., Preiss, David, Reith, Christina, Sammons, Emily, Zayed, Mohammed, Zhu, Doreen, Ellison, Ritva, Moys, Rowan, Stevens, Will, Verdel, Kevin, Wallendszus, Karl, Bowler, Chris, Brewer, Anna, Measor, Andy, Cui, Guanguo, Daniels, Charles, Field, Angela, Goodenough, Bob, Lawson, Ashley, Mostefai, Youcef, Radhakrishnan, Dheeptha, Syed, Samee, Xia, Shuang, Adewuyi-Dalton, Ruth, Arnold, Thomas, Beneat, Anne-Marie, Bhatt, Anoushka, Bird, Chloe, Breach, Andrew, Brown, Laura, Caple, Mark, Chavagnon, Tatyana, Chung, Karen, Clark, Sarah, Condurache, Luminita, Eichstadt, Katarzyna, Obrero, Marta Espino, Forest, Scarlett, French, Helen, Goodwin, Nick, Gordon, Andrew, Gordon, Joanne, Guest, Cat, Harding, Tina, Hill, Michael, Hozak, Michal, Lacey, Matthew, MacLean, David, Messinger, Louise, Moffat, Stewart, Radley, Martin, Shenton, Claire, Tipper, Sarah, Tyler, Jon, Weaving, Lesley, Wheeler, James, Williams, Elissa, Williams, Tim, Woodhouse, Hamish, Chamberlain, Angela, Chambers, Jo, Davies, Joanne, Donaldson, Denise, Faria-Shayler, Pati, Fleming-Brown, Denise, Ingell, Jennifer, Knott, Carol, Liew, Anna, Lochhead, Helen, Meek, Juliette, Rodriguez-Bachiller, Isabel, Wilson, Andrea, Zettergren, Patrick, AitSadi, Rach, Barton, Ian, Baxter, Alex, Bu, Yonghong, Danel, Lukasz, Grotjahn, Sonja, Kurien, Rijo, Lay, Michael, Maskill, Archie, Murawska, Aleksandra, Raff, Rachel, Young, Allen, Baigent, Colin, Haynes, Richard, Herrington, William G., Landray, Martin J., Preiss, David, Emberson, Jonathan, Sardell, Rebecca, Staplin, Natalie, Wanner, Christoph, Brenner, Susanne, Cejka, Vladimir, Fajardo-Moser, Marcela, Hartner, Christian, Poehler, Doris, Renner, Janina, Scheidemantel, Franziska, Haynes, Richard, Preiss, David, Herrington, William G., Judge, Parminder, Zhu, Doreen, Ng, Sarah Y. A., Mayne, Kaitlin J., Badin, Cristina, Chambers, Jo, Davies, Joanne, Donaldson, Denise, Gray, Mo, Harding, Emily, Ingell, Jenny, Qiao, Yanru, Shah, Shraddha, Wilson, Andrea, Zettergren, Patrick, Wanner, Christoph, Brenner, Susanne, Cejka, Vladimir, Ghavampour, Sharang, Knoppe, Anja, Schmidt-Gurtler, Hans, Dumann, Hubert, Merscher, Sybille, Patecki, Margret, Schlieper, Georg Rainer, Torp, Anke, Weber, Bianca, Zietz, Maja, Sitter, Thomas, Fuessl, Louise, Krappe, Julia, Loutan, Jerome, Vielhauer, Volker, Andriaccio, Luciano, Maurer, Magdalena, Winkelmann, Bernhard, Dursch, Martin, Seifert, Linda, Tenbusch, Linda, Weinmann-Menke, Julia, Boedecker, Simone, KaluzaSchilling, Wiebke, Kraus, Daniel, Krieger, Carina, Schmude, Margit, Schreiber, Anne, Eckrich, Ewelina, Tschope, Diethelm, Arbi, Abdulwahab, Lee-Barkey, Young, Stratmann, Bernd, Prib, Natalie, Rolfsmeier, Sina, Schneider, Irina, Rump, Lars, Stegbauer, Johannes, Pötz, Christine, Schemmelmann, Mara, Schmidt, Claudia, Haller, Hermann, Kaufeld, Jessica, Menne, Jan, Bahlmann-Kroll, Elisabeth, Bergner, Angela, Haynes, Richard, Herrington, William G., Zhu, Doreen, Gavrila, Madita, Lafferty, Kathryn, Rabara, Ria, Ruse, Sally, Weetman, Maria, Byrne, Cath, Jesky, Mark, Cowley, Alison, McHaffie, Emma, Waterfall, Holly, Taylor, Jo, Bough, Laura, Phillips, Thomas, Goodwin, Barbara Winter-, Frankel, Andrew, Tomlinson, James, Alegata, Marlon, Almasarwah, Rashid, Apostolidi, Anthoula, Vourvou, Maria, Walters, Thomas, Ugni, Shiva, Gunda, Smita, Oluyombo, Rotimi, Brindle, Vicki, Coutts, Ping, Fuller, Tracy, Nadar, Evelyn, Wong, Christopher, Goldsmith, Christopher, Barnes, Sherald, Bennett, Ann, Burston, Claire, Hope, Samantha, Hunt, Nicola, Kurian, Lini, Fish, Richard, Farrugia, Daniela, Lee, Judy, Sadler, Emma, Turner, Hannah, Clarke, Helen, Carnall, Victoria, Benyon, Sarah, Blake, Caroline, Estcourt, Stephanie, Piper, Jane, Morgan, Neal, Hutchinson, Carolyn, McKinley, Teresa, Doulton, Tim, Delaney, Michael, Montasser, Mahmoud, Hansen, Jenny, Loader, David, Moon, Angela, Morris, Frances, Fraser, Donald, Ali, Mohammad Alhadj, Griffin, Sian, Latif, Farah, Witczak, Justyna, Wonnacott, Alexa, Jeffers, Lynda, Webley, Yvette, Bell, Samira, Cosgrove, Leanne, Craik, Rachel, Murray, Shona, Khwaja, Arif, Jackson, Yvonne, Mbuyisa, Angeline, Sellars, Rachel, Lewington, Andrew, Baker, Richard, Dorey, Suzannah, Tobin, Kay, Wheatley, Rosalyn, Patel, Rajan, Mark, Patrick, Rankin, Alastair, Sullivan, Michael, Forsyth, Kirsty, and McDougall, Rowan

Published
2024
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21. MicroRNA regulation of podocyte insulin sensitivity

Author

Wonnacott, Alexa

Subjects
616.4
Abstract

Diabetic Nephropathy (DN) is a devastating complication of diabetes, and is the leading cause of end stage renal failure in the UK. Uncovering mechanistic pathways in DN pathogenesis is vital in establishing new therapeutic targets to prevent its progression. Podocyte-specific insulin resistance in mice leads to a renal injury that mimics that seen in diabetic kidney disease, indicating that podocyte insulin signalling may be of critical importance in the development of DN. MicroRNAs (miRNAs) are post-transcriptional gene regulators that demonstrate aberrant expression in multiple diabetic models, and are implicated in the development of insulin resistance in liver, fat and muscle. The aim of this work was to establish the role of miRNAs in the regulation of podocyte insulin signalling. This thesis details the differential microRNA expression of an in vitro model of podocyte insulin resistance, and the subsequent validation of miR-155-5p as an important regulator of podocyte insulin sensitivity. MiR-155 was upregulated in insulin-resistant podocytes, and in the urine of patients with DN. Furthermore, overexpression of miR-155 in podocytes resulted in reduction in PI3K/Akt signalling and abrogation of glucose uptake in vitro. Bioinformatic analyses were used to identify putative miR-155 targets. PIK3R1 and CSF1R were confirmed to demonstrate miR-155 induced repression, hypothesised to result in podocyte insulin resistance via negative regulation of PI3K signalling. Whole glomerular miRNA sequencing from the db/db mouse indicated that changes associated with established diabetic pathways of oxidative stress, inflammation and fibrosis are transcriptionally activated as early as 4 weeks. These findings support the hypothesis that changes in miRNA expression are an initiating insult in DN, and highlight miRNAs as potential therapeutic targets to arrest disease development.

Published
2020

22. OMG-VR: Open-source Mudra Gloves for Manipulating Molecular Simulations in VR

Author

Freire, Rachel, Glowacki, Becca Rose, Williams, Rhoslyn Roebuck, Wonnacott, Mark, Jamieson-Binnie, Alexander, and Glowacki, David R.

Subjects
Computer Science - Human-Computer Interaction, Physics - Biological Physics, Physics - Chemical Physics
Abstract

As VR finds increasing application in scientific research domains like nanotechnology and biochemistry, we are beginning to better understand the domains in which it brings the most benefit, as well as the gestures and form factors that are most useful for specific applications. Here we describe Open-source Mudra Gloves for Virtual Reality (OMG-VR): etextile gloves designed to facilitate research scientists and students carrying out detailed and complex manipulation of simulated 3d molecular objects in VR. The OMG-VR is designed to sense when a user pinches together their thumb and index finger, or thumb and middle finger, forming a "mudra" position. Tests show that they provide good positional tracking of the point at which a pinch takes place, require no calibration, and are sufficiently accurate and robust to enable scientists to accomplish a range of tasks that involve complex spatial manipulation of molecules. The open source design offers a promising alternative to existing controllers and more costly commercial VR data gloves.

Published
2019

24. UK Pension Megafunds: The Tax Perspective

Author

Wonnacott, Benjamin

Subjects
Investment companies -- Taxation -- Investments -- Laws, regulations and rules, Pension funds -- Taxation -- Laws, regulations and rules, Government regulation, Company investment, Business, international
Abstract

As the Government embarks on ambitious reforms to the UK pension fund investment sector, with major implications for the private capital industry, the tax treatment of pension fund returns may [...]

Published
2024

25. Linking Language to Sensory Experience: Onomatopoeia in Early Language Development

Author

Motamedi, Yasamin, Murgiano, Margherita, Perniss, Pamela, Wonnacott, Elizabeth, Marshall, Chloë, Goldin-Meadow, Susan, and Vigliocco, Gabriella

Abstract

A key question in developmental research concerns how children learn associations between words and meanings in their early language development. Given a vast array of possible referents, how does the child know what a word refers to? We contend that onomatopoeia (e.g. "knock," "meow"), where a word's sound evokes the sound properties associated with its meaning, are particularly useful in children's early vocabulary development, offering a link between word and sensory experience not present in arbitrary forms. We suggest that, because onomatopoeia evoke imagery of the referent, children can draw from sensory experience to easily link onomatopoeic words to meaning, both when the referent is present as well as when it is absent. We use two sources of data: naturalistic observations of English-speaking caregiver-child interactions from 14 up to 54 months, to establish whether these words are present early in caregivers' speech to children, and experimental data to test whether English-speaking children can learn from onomatopoeia when it is present. Our results demonstrate that onomatopoeia: (1) are most prevalent in early child-directed language and in children's early productions; (2) are learnt more easily by children compared with non-iconic forms; and (3) are used by caregivers in contexts where they can support communication and facilitate word learning.

Published
2021
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26. Impact of genetically modified organism requirements on gene therapy development in the EU, Japan, and the US

Author

Gentaro Tajima, Seoan Huh, Natalie Anne Schmidt, Judith C. Macdonald, Tobias Fleischmann, and Keith Merrell Wonnacott

Subjects
genetically modified organisms, environmental risk assessment, virus vectors, adeno-associated virus, viral shedding, multi-regional clinical trials, Genetics, QH426-470, Cytology, QH573-671
Abstract

Advanced therapies are emerging as an important class of medicinal products; among these, gene therapies are advancing at an exceptional rate. However, one of the major challenges for gene therapies relates to the additional regulatory requirements for genetically modified organisms. In this paper, we provide an overview of the regulatory requirements for genetically modified organisms in the European Union, Japan, and the United States. We share our experience in managing these requirements and their impact on the adeno-associated virus gene therapies that are under development at Pfizer. Specifically, we discuss the relative complexity of the approval process and the impact of risk assessment expectations on the clinical development of genetically modified organisms. We also compare the regulatory processes and timelines of various regions based on our experience with adeno-associated viral vectors. Finally, we propose that genetically modified organisms, for which pathogenicity and replication competency are well controlled, should be regulated solely under medicinal product regulations and be exempt from additional requirements for genetically modified organisms. Even if an exemption is not implemented, it should still be possible to significantly reduce the sponsor and agency burden by simplifying and harmonizing documentation and data requirements as well as timelines for applications for genetically modified organisms.

Published
2022
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27. Sampling molecular conformations and dynamics in a multi-user virtual reality framework

Author

Connor, Michael O, Deeks, Helen M., Dawn, Edward, Metatla, Oussama, Roudaut, Anne, Sutton, Matthew, Glowacki, Becca Rose, Sage, Rebecca, Tew, Philip, Wonnacott, Mark, Bates, Phil, Mulholland, Adrian J., and Glowacki, David R.

Subjects
Physics - Chemical Physics, Computer Science - Human-Computer Interaction, Physics - Biological Physics, Physics - Physics Education
Abstract

We describe a framework for interactive molecular dynamics in a multiuser virtual reality environment, combining rigorous cloud-mounted physical atomistic simulation with commodity virtual reality hardware, which we have made accessible to readers (see isci.itch.io/nsb-imd). It allows users to visualize and sample, with atomic-level precision, the structures and dynamics of complex molecular structures 'on the fly', and to interact with other users in the same virtual environment. A series of controlled studies, wherein participants were tasked with a range of molecular manipulation goals (threading methane through a nanotube, changing helical screw-sense, and tying a protein knot), quantitatively demonstrate that users within the interactive VR environment can complete sophisticated molecular modelling tasks more quickly than they can using conventional interfaces, especially for molecular pathways and structural transitions whose conformational choreographies are intrinsically 3d. This framework should accelerate progress in nanoscale molecular engineering areas such as drug development, synthetic biology, and catalyst design. More broadly, our findings highlight VR's potential in scientific domains where 3d dynamics matter, spanning research and education., Comment: 5 pages, 3 figures, 19 pages Supporting Info

Published
2018
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28. Learners Restrict Their Linguistic Generalizations Using Preemption but Not Entrenchment: Evidence From Artificial-Language-Learning Studies With Adults and Children.

Author

Samara, Anna, Wonnacott, Elizabeth, Saxena, Gaurav, Maitreyee, Ramya, Fazekas, Judit, and Ambridge, Ben

Subjects
*LANGUAGE research, *LINGUISTIC models, *LANGUAGE acquisition, *VERBS, *CLOWNS
Abstract

A central goal of research into language acquisition is explaining how, when learners generalize to new cases, they appropriately restrict their generalizations (e.g., to avoid producing ungrammatical utterances such as *the clown laughed the man; "*" indicates an ungrammatical form). The past 30 years have seen an unresolved debate between statistical preemption and entrenchment as explanations. Under preemption, the use of a verb in a particular construction (e.g., *the clown laughed the man) is probabilistically blocked by hearing that other verb constructions with similar meanings only (e.g., the clown made the man laugh). Under entrenchment, such errors (e.g., *the clown laughed the man) are probabilistically blocked by hearing any utterance that includes the relevant verb (e.g., by the clown made the man laugh and the man laughed). Across five artificial-language-learning studies, we designed a training regime such that learners received evidence for the (by the relevant hypothesis) ungrammaticality of a particular unattested verb/noun + particle combination (e.g., *chila + kem; *squeako + kem) via either preemption only or entrenchment only. Across all five studies, participants in the preemption condition (as per our preregistered prediction) rated unattested verb/noun + particle combinations as less acceptable for restricted verbs/nouns, which appeared during training, than for unrestricted, novel-at-test verbs/nouns, which did not appear during training, that is, strong evidence for preemption. Participants in the entrenchment condition showed no evidence for such an effect (and in 3/5 experiments, positive evidence for the null). We conclude that a successful model of learning linguistic restrictions must instantiate competition between different forms only where they express the same (or similar) meanings. [ABSTRACT FROM AUTHOR]

Published
2025
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29. Onomatopoeia, gestures, actions and words:How do caregivers use multimodal cues in their communication to children?

Author

Vigliocco, Gabriella, Motamedi, Yasamin, Murgiano, Margherita, Wonnacott, Elizabeth, Marshall, Chloe, Maillo, Iris Milan, and Perniss, Pamela

Subjects
language development, word learning, iconicity, onomatopoeia, co-speech gestures, child directed speech, naturalistic observation.
Abstract

Most research on how children learn the mapping betweenwords and world has assumed that language is arbitrary, andhas investigated language learning in contexts in which objectsreferred to are present in the environment. Here, we reportanalyses of a semi-naturalistic corpus of caregivers talking totheir 2-3 year-old. We focus on caregivers’ use of non-arbitrarycues across different expressive channels: both iconic(onomatopoeia and representational gestures) and indexical(points and actions with objects). We ask if these cues are useddifferently when talking about objects known or unknown tothe child, and when the referred objects are present or absent.We hypothesize that caregivers would use these cues moreoften with objects novel to the child. Moreover, they would usethe iconic cues especially when objects are absent becauseiconic cues bring to the mind’s eye properties of referents. Wefind that cue distribution differs: all cues except points are morecommon for unknown objects indicating their potential role inlearning; onomatopoeia and representational gestures are morecommon for displaced contexts whereas indexical cues aremore common when objects are present. Thus, caregiversprovide multimodal non-arbitrary cues to support children’svocabulary learning and iconicity – specifically – can supportlinking mental representations for objects and labels.

Published
2019

30. Lexical iconicity facilitates word learning in situated and displaced learningcontexts

Author

Motamedi, Yasamin, Wonnacott, Elizabeth, Marshall, Chloe, Perniss, Pamela, and Vigliocco, Gabriella

Abstract

We present an experimental study that examines how lexical iconicity (i.e. onomatopoeia) affects early word learning,across learning contexts. Children aged 24-36 months (N=37) were first trained on labels that are either iconic or neutralwith respect to the referent event, and then tested using a forced-choice task to select the correct referent given a label. Weassessed learning across two contexts: situated, where label and referent co-occur, and displaced, where children learn thelabel following the referent event. We predicted that iconicity would aid word learning, and would have a more facilitatoryeffect in the displaced condition, helping the child to associate label and referent. Our findings demonstrate that childrenlearn iconic labels in the experiment better than they do neutral labels. However, we find no difference across learningcontextsiconicity facilitates word learning in both situated and displaced learning scenarios.

Published
2019

31. Group VR experiences can produce ego attenuation and connectedness comparable to psychedelics

Author

David R. Glowacki, Rhoslyn Roebuck Williams, Mark D. Wonnacott, Olivia M. Maynard, Rachel Freire, James E. Pike, and Mike Chatziapostolou

Subjects
Medicine, Science
Abstract

Abstract With a growing body of research highlighting the therapeutic potential of experiential phenomenology which diminishes egoic identity and increases one’s sense of connectedness, there is significant interest in how to elicit such ‘self-transcendent experiences’ (STEs) in laboratory contexts. Psychedelic drugs (YDs) have proven particularly effective in this respect, producing subjective phenomenology which reliably elicits intense STEs. With virtual reality (VR) emerging as a powerful tool for constructing new perceptual environments, we describe a VR framework called ‘Isness-distributed’ (Isness-D) which harnesses the unique affordances of distributed multi-person VR to blur conventional self-other boundaries. Within Isness-D, groups of participants co-habit a shared virtual space, collectively experiencing their bodies as luminous energetic essences with diffuse spatial boundaries. It enables moments of ‘energetic coalescence’, a new class of embodied intersubjective experience where bodies can fluidly merge, enabling participants to include multiple others within their self-representation. To evaluate Isness-D, we adopted a citizen science approach, coordinating an international network of Isness-D 'nodes'. We analyzed the results (N = 58) using 4 different self-report scales previously applied to analyze subjective YD phenomenology (the inclusion of community in self scale, ego-dissolution inventory, communitas scale, and the MEQ30 mystical experience questionnaire). Despite the complexities associated with a distributed experiment like this, the Isness-D scores on all 4 scales were statistically indistinguishable from recently published YD studies, demonstrating that distributed VR can be used to design intersubjective STEs where people dissolve their sense of self in the connection to others.

Published
2022
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35. Hybrid Static/Dynamic Schedules for Tiled Polyhedral Programs

Author

Jin, Tian, Prajapati, Nirmal, Ranasinghe, Waruna, Iooss, Guillaume, Zou, Yun, Rajopadhye, Sanjay, and Wonnacott, David

Subjects
Computer Science - Programming Languages, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Performance
Abstract

Polyhedral compilers perform optimizations such as tiling and parallelization; when doing both, they usually generate code that executes "barrier-synchronized wavefronts" of tiles. We present a system to express and generate code for hybrid schedules, where some constraints are automatically satisfied through the structure of the code, and the remainder are dynamically enforced at run-time with data flow mechanisms. We prove bounds on the added overheads that are better, by at least one polynomial degree, than those of previous techniques. We propose a generic mechanism to implement the needed synchronization, and show it can be easily realized for a variety of targets: OpenMP, Pthreads, GPU (CUDA or OpenCL) code, languages like X10, Habanero, Cilk, as well as data flow platforms like DAGuE, and OpenStream and MPI. We also provide a simple concrete implementation that works without the need of any sophisticated run-time mechanism. Our experiments show our simple implementation to be competitive or better than the wavefront-synchronized code generated by other systems. We also show how the proposed mechanism can achieve 24% to 70% reduction in energy.

Published
2016

41. The Role of Input Variability and Learner Age in Second Language Vocabulary Learning

Author

Sinkeviciute, Ruta, Brown, Helen, Brekelmans, Gwen, and Wonnacott, Elizabeth

Abstract

Input variability is key in many aspects of linguistic learning, yet variability increases input complexity, which may cause difficulty in some learning contexts. The current work investigates this trade-off by comparing speaker variability effects on L2 vocabulary learning in different age groups. Existing literature suggests that speaker variability benefits L2 vocabulary learning in adults, but this may not be the case for younger learners. In this study native English-speaking adults, 7- to 8-year-olds, and 10- to 11-year-olds learned six novel Lithuanian words from a single speaker, and six from eight speakers. In line with previous research, adults showed better production of the multispeaker items at test. No such benefit was found for either group of children, either in production or comprehension. Children also had greater difficulties in processing multiple-speaker cues during training. We conclude that age-related capacity limitations may constrain the ability to utilize speaker variability when learning words in a new language.

Published
2019
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43. Analyzing and Modeling the Dynamic Electrical Characteristics of Nanocomposite Large-Range Strain Gauges.

Author

Wonnacott, Alex M., Bowden, Anton E., Mitchell, Ulrike H., and Fullwood, David T.

Subjects
STRAIN gages, WEARABLE technology, VISCOELASTICITY, DETECTORS, DYNAMIC models, STRAIN sensors
Abstract

Flexible high-deflection strain gauges have been demonstrated to be cost-effective and accessible sensors for capturing human biomechanical deformations. However, the interpretation of these sensors is notably more complex compared to conventional strain gauges, particularly during dynamic motion. In addition to the non-linear viscoelastic behavior of the strain gauge material itself, the dynamic response of the sensors is even more difficult to capture due to spikes in the resistance during strain path changes. Hence, models for extracting strain from resistance measurements of the gauges most often only work well under quasi-static conditions. The present work develops a novel model that captures the complete dynamic strain–resistance relationship of the sensors, including resistance spikes, during cyclical movements. The forward model, which converts strain to resistance, comprises the following four parts to accurately capture the different aspects of the sensor response: a quasi-static linear model, a spike magnitude model, a long-term creep decay model, and a short-term decay model. The resulting sensor-specific model accurately predicted the resistance output, with an R-squared value of 0.90. Additionally, an inverse model which predicts the strain vs. time data that would result in the observed resistance data was created. The inverse model was calibrated for a particular sensor from a small amount of cyclic data during a single test. The inverse model accurately predicted key strain characteristics with a percent error as low as 0.5%. Together, the models provide new functionality for interpreting high-deflection strain sensors during dynamic strain measurement applications, including wearables sensors used for biomechanical modeling and analysis. [ABSTRACT FROM AUTHOR]

Published
2024
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