837 research outputs found
Index-Stratified Types
Get PDFWe present Tores, a core language for encoding metatheoretic proofs. The novel features we introduce are well-founded Mendler-style (co)recursion over indexed data types and a form of recursion over objects in the index language to build new types. The latter, which we call index-stratified types, are analogue to the concept of large elimination in dependently typed languages. These features combined allow us to encode sophisticated case studies such as normalization for lambda calculi and normalization by evaluation. We prove the soundness of Tores as a programming and proof language via the key theorems of subject reduction and termination
In Defence of "the Lesser Cousin of History": An Interview with Rohan Wilson
Get PDFFew branches of postcolonial literature are as contested \ud
as the historical fiction of settler societies. This interview with the Australian historical novelist Rohan Wilson, author of The Roving Party (2011) and To Name Those Lost (2014), explores the intersections between truth, accuracy, and existential authenticity in his fictional accounts of nineteenth-century Tasmania. Wilson offers \ud
a nuanced yet robust defence of fiction’s role in narrating colonial history. He explains his intentions in writing two linked yet distinctive novels of the frontier—one that focuses on the “Black War” of the 1820s and 1830s, and another that explores how racial violence is refracted by capitalism in subsequent decades
Shape optimization of channels for incompressible flows
Get PDFNázev práce: Optimalizace tvaru kanálu v úlohách nestlačitelného proudění Autor: Zuzana Záhorová Katedra: Katedra numerické matematiky Vedoucí diplomové práce: Doc. Dr. Ing. Eduard Rohan e-mail vedoucího: [email protected] Abstrakt: V předložené práci studujeme problém tvarové optimalizace pro úlohy vnitřního proudění ve 3D. Uvažováno je laminární, nestlačitelné, stacionární proudění popsané Navier- Stokesovými rovnicemi. Jsou popsány stabilizace Navier-Stokesových rovnic potřebné pro řešení úloh s nízkou viskozitou. Předloženy jsou teoretické poznatky týkající se problému tvarové optimalizace včetně důkazu existence řešení. Je popsána adjungovaná metoda pro řešení optimalizační úlohy. Odvozena je analytická analýza citlivosti. Představujeme postupy využité při výpočtech a numerický software pro řešení optimalizačních úloh. Jsou prezentovány výsledky pro stabilizované i nestabilizované řešení Navier-Stokesových rovnic. Představíme výsledky zahrnující lineární omezení geometrie oblasti. Klíčová slova: Nestlačitelné Navier-Stokesovy rovnice, SUPG/PSPG stabilizace, Adjun- govaná metoda, Analýza citlivosti Title: Shape optimization of channels for incompressible flows Author: Zuzana Záhorová Department:..
Data and Code for "Universal Constraints on Protein Evolution in the Long-Term Evolution Experiment with Escherichia coli"
No full textinput data files are located in the data/ directory.
source code is located in the src/ directory.
code and data for the LTEE 60,000 generation metagenomics dataset are located in the LTEE-metagenomic-repo/ directory.
results from running the source code are located in the results/ directory.
for all inquiries: contact the author at rohan dot maddamsetti at duke dot ed
Real-Time Human-Robot Communication for Manipulation Tasks in Partially Observed Environments
No full textKŌDA ROHAN\nTsuyu Dandan and Nineteenth Century English Literature
Get PDFpdfKōda Rohan recorded explanatory notes for Tsuyu Dandan (1889) as follows. "One: The ineptitude of the writing aside, to say that my literary devices are quite something and that Edward George Bulwer Lytton and William Makepeace Thackeray are really nothing is a big lie, for in fact I indulge in mere magic tricks. The discerning reader will quickly penetrate them."
Here with the coyness of a neophyte author, a self-assertive attitude which emphasizes the use of as a narrative technique can be seen. This study will deal with four questions.
① What function did Kōda Rohan think that narrative technique had in Edo popular fiction? I will first investigate the topology of , clarifying this technique which overflows the boundaries of , , in connection with Lytton and Thackeray. Naturally, this will result in ③ an investigation as to whether or not Lytton and Thackeray were borrowed from Tsubouchi Shōyō's Shōsetsu shinzui, Tō sei shosei katagi, or translations. If so,④ the question of why it was not George Eliot or Charles Dickens naturally arises. Through questions ② to④ I would like to clarify the relationship between Koda Rohan and nineteenth century English literature and to capture anew the stratifications of Rohan's literature.conference pape
Modelling of 3D placental cell features using deep learning
No full textSerial block-face scanning electron microscopy (SBFSEM) is a well-established technique for producing a sequential series of high-resolution images of a material, from which three-dimensional structures can be determined. This is achieved by incorporating a diamond knife microtome within a scanning electron microscope (SEM). The result is a "stack" of sequential SEM images that correspond to the 3D volume of the sample. Typically, a SBFSEM stack might include ~500-2000 SEM images, each with ~10nm spatial resolution in x and y, and separated in height by ~50nm in z.In our work imaging human placental tissue using SBFSEM, we currently employ human labelling of features within the SEM image stacks, which allows 3D reconstruction and analysis. Whilst human labelling can be very accurate, the amount of time needed to label a single feature in a SBFSEM stack can be several months, and hence there is a practical limit to how many image stacks can be analysed. There is therefore a clear need for alternative methods for analysis that do not require human labelling.Here, for the first time, we use a neural network to generate an SEM image when we provide the overall shape of the structures within the placental tissue. This is based on recent work in the field of generative neural networks that can be used to generate “fake” images of human faces [1] (also see the interactive website [2]). The analogy is that we are using a neural network to generate “fake” SEM images of placenta cells.This process can be repeated for any 3D cell shape, and the results so far are shown to be statistically consistent with experimental data. This early result therefore offers the tantalising prospect of using a generative neural network for data-driven modelling of 3D cell biology.The work presented here takes several novel steps. Firstly, we use a custom-written algorithm to label the boundary of the placenta cell in every SEM image in a stack. For each image, this boundary is used to make a “mask” that is labelled green outside the cell and red inside the cell. Secondly, we train a neural network to transform a green/red mask into a “fake” SEM image, meaning we can therefore generate an SEM image for any placental cell shape. Thirdly, we extend this capability into 3D, and use the neural network to generate a “fake” stack of SEM images for any chosen 3D placental cell shape. As a demonstration of a potential application of this approach, we label the position of generated blood cells in each of the generated SEM images in the “fake” stack, and our next aim is to visualise a predicted 3D capillary network for a placental villi. This work builds upon our previous work [3] (presented at BIOSTEC 2020), where we demonstrated that a neural network can be used to automatically label features of placenta cell types, such as the endothelial cells and pericytes. This was achieved through training a neural network on SEM images of placenta cells that had the features of interest already labelled by a human.[1] Karras, T. et al, “A style-based generator architecture for generative adversarial networks”, IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019, 4401-4410.[2] https://thispersondoesnotexist.com/[3] Mackay B.S. et al, “Deep Learning for the Automated Feature Labelling of 3-Dimensional Imaged Placenta”, BIOSTEC 2020, doi:10.1007/978-3-030-72379-8_6<br/
Replication Data for: Going to Outer Space with New Space: The Rise and Consequences of Evolving Public-Private Partnerships
No full textReplication R code and data to produce the plots included in the publication
Asgard archaea modulate potential methanogenesis substrates in wetland soil
No full textData supporting the findings of this study, including the complete genomes of soil-associated Atabeyarchaeia and Freyarchaeia and their in situ metabolic profiles, are available.Asgard archaea modulate potential methanogenesis substrates in wetland soilLuis E. Valentin-Alvarado1,2,†, Kathryn E. Appler3,†, Valerie De Anda3,4, Marie C. Schoelmerich1,‡, Jacob West-Roberts5, Veronika Kivenson9, Alexander Crits-Christoph1,2,§, Lynn Ly6, Rohan Sachdeva1, David F. Savage1,7, Brett J. Baker3,4, and Jillian F. Banfield1,4,8,9,* </p
sj-docx-1-ine-10.1177_15910199241247884 - Supplemental material for Predictors of acute post-thrombectomy intracranial hemorrhage expansion in anterior circulation infarcts
No full textSupplemental material, sj-docx-1-ine-10.1177_15910199241247884 for Predictors of acute post-thrombectomy intracranial hemorrhage expansion in anterior circulation infarcts by Akshay Bhamidipati, Nishit Mummareddy, Seoiyoung Ahn,c Gabriel Bendfeldt, Alexander T Lyons, Surya Gangavarapu, Jeffrey Chen, Jacob Jo, Naveed Kamal, Steven G Roth, Michael T Froehler, Rohan V Chitale and Matthew R Fusco in Interventional Neuroradiology</p
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