878 research outputs found
Optical Coherence Tomography Angiography Findings in Patients With Acute Syphilitic Posterior Placoid Chorioretinopathy
No full textPurpose: Acute syphilitic posterior placoid chorioretinopathy (ASPPC) is an uncommon and distinct manifestation of ocular syphilis necessitating immediate treatment. ASPPC is attributed to disruption of the choriocapillaris, retinal pigment epithelium, and photoreceptors. Optical coherence tomography angiography (OCTA) can evaluate choriocapillaris vascular flow and may provide further information about ASPPC's disease process. Methods: OCTA images from 7 eyes of 4 patients with ASPPC were compared before and after treatment when available. Results: All eyes demonstrated increased choriocapillaris vascular flow voids in the distribution of the ASPPC lesions at initial testing. Following treatment, decreased placoid lesion size was associated with decreased flow voids on OCTA along with improved ellipsoid zone integrity in 2 patients. Conclusions: Disruption of choriocapillaris vascular flow in ASPPC that causes outer retinal changes can improve following treatment as suggested by OCTA imaging. Some cases may continue to demonstrate decreased flow even after appropriate therapy
Visual abstract – Supplemental material for Hybrid Coronary Revascularization: Early Outcomes and Midterm Follow-Up in Patients Undergoing Single or Multivessel Robotic TECAB and PCI
No full textSupplemental material, sj-pptx-1-inv-10.1177_15569845221137349 for Hybrid Coronary Revascularization: Early Outcomes and Midterm Follow-Up in Patients Undergoing Single or Multivessel Robotic TECAB and PCI by Sarah M. Nisivaco, Hiroto Kitahara, Abdul Rahman Abutaleb, Sandeep Nathan and Husam H. Balkhy in Innovations: Technology and Techniques in Cardiothoracic and Vascular Surgery</p
Proceedings of ASME Turbo Expo 2013: Power for Land, Sea and Air, Volume 1A: Combustion, Fuels and Emissions
No full textShahrokh Etemad (with Sandeep Alavandi and Benjamin Baird) is a contributing author, Fuel Flexible Rich Catalytic Lean Burn System for Low Btu Fuels
Acute Ethanol Administration Rapidly Increases Phosphorylation of Conventional Protein Kinase C in Specific Mammalian Brain Regions in Vivo
No full textBackground
Protein kinase C (PKC) is a family of isoenzymes that regulate a variety of functions in the central nervous system including neurotransmitter release, ion channel activity, and cell differentiation. Growing evidence suggests that specific isoforms of PKC influence a variety of behavioral, biochemical, and physiological effects of ethanol in mammals. The purpose of this study was to determine whether acute ethanol exposure alters phosphorylation of conventional PKC isoforms at a threonine 674 (p-cPKC) site in the hydrophobic domain of the kinase, which is required for its catalytic activity.
Methods
Male rats were administered a dose range of ethanol (0, 0.5, 1, or 2 g/kg, intragastric) and brain tissue was removed 10 minutes later for evaluation of changes in p-cPKC expression using immunohistochemistry and Western blot methods.
Results
Immunohistochemical data show that the highest dose of ethanol (2 g/kg) rapidly increases p-cPKC immunoreactivity specifically in the nucleus accumbens (core and shell), lateral septum, and hippocampus (CA3 and dentate gyrus). Western blot analysis further showed that ethanol (2 g/kg) increased p-cPKC expression in the P2 membrane fraction of tissue from the nucleus accumbens and hippocampus. Although p-cPKC was expressed in numerous other brain regions, including the caudate nucleus, amygdala, and cortex, no changes were observed in response to acute ethanol. Total PKC? immunoreactivity was surveyed throughout the brain and showed no change following acute ethanol injection
Distance vision test – a play?
No full textDear World & Everyone In It is a ground-breaking new poetry anthology presenting the work of over 60 of the most talented and interesting young poets currently writing in the UK. Chosen by one of the country's leading young poetry editors, inspired by American precedents, and growing out of The Rialto's recent series of young poets features curated by Nathan Hamilton, it is the first British anthology to attempt to define a generation through a properly representative cross-section of work and a fully collaborative editorial process.
By drawing on the poets' own recommendations, this anthology represents more effectively and appropriately a new generational mood - hybrid, playful, collaborative, ambitious, inclusive, cooperative. Less top down, more bottom up, it speaks also of other movements in our world, and even ends up challenging parochial notions of Britishness by including overseas poets who live or work here and who have become engaged and influential in the scene.
Avoiding, or ironising, older, oppositional attitudes, Nathan Hamilton introduces his anthology with an essay describing 'this new generation's hybridisation of two aptly ironic and business-sounding "strains" in UK poetics - taxonomised as "product" and "process"'. His lively analysis juxtaposes modernist approaches with those exploring more traditional modes, hoping to bring some of the pleasures of the former to a wider audience.
Dear World & Everyone In It is an indispensable summary or starting map for anyone wanting to explore and enjoy more of the current UK poetry landscape or seeking to better understand what's going on out there.
The poets included are: Rachael Allen, Andrew Bailey, Emily Berry, Ben Borek, Siddhartha Bose, Elizabeth-Jane Burnett, James Byrne, Stuart Calton, Tom Chivers, Tim Cockburn, Becky Cremin, Emily Critchley, Joe Crot, Patrick Coyle, Amy De'Ath, Laura Elliott, Stephen Emmerson, Amy Evans, Ollie Evans, S.J. Fowler, Miriam Gamble, Jim Goar, Matthew Gregory, Elizabeth Guthrie, Emily Hasler, Oli Hazzard, Colin Herd, Holly Hopkins, Sarah Howe, Tom Ironmonger, Meiron Jordan, Katharine Kilalea, Sarah Kelly, Luke Kennard, Laura Kilbride, Michael Kindellan, Agnes Lehoczky, Frances Leviston, Eireann Lorsung, Chris McCabe, Michael McKimm, Fabian Macpherson, Toby Martinez de las Rivas, mendoza, James Midgley, Marianne Morris, Camilla Nelson, Kei Miller, Tamarin Norwood, Richard Parker, Sandeep Parmar, Holly Pester, Heather Phillipson, Kate Potts, Nat Raha, Sam Riviere, Sophie Robinson, Hannah Silva, Angus Sinclair, Marcus Slease, Andy Spragg, Ben Stainton, Keston Sutherland, Jonty Tiplady, Emily Toder, Simon Turner, Jack Underwood, Ahren Warner, Tom Warner, Rachel Warriner, James Wilkes and Steve Willey
Characterizing collagen mimetic peptides for orthogonal self-assembly
No full textA computational design of collagen mimetic peptides (CMPs) that self-assemble orthogonally (mutually exclusively), in the presence of other pre-existing collagen trimer mixtures, in vitro, has been proposed. The orthogonality in self-assembly was brought about by orthogonal patterning of ionic salt bridges and residues, along the collagen trimers’ axial length. Through the aid of circular dichroism spectroscopy alone, a novel experimental protocol was set-up to rapidly assess the level of cross-talk that may arise in such designed ‘heterogeneous monomer to trimer folding’ mixture environments. It is shown that the designed collagen mimetic peptides are stable and hetero-specific within their composite 3 chain peptide ecosystem. We experimentally demonstrate the extent to which loss in specificity could possibly occur, upon moving to a higher order ‘more than 3 monomers in solution’ peptide ensemble. Although the desired level of multi-state orthogonality was not achieved in the current design, the experimental results obtained were used to estimate the stability and specificity barrier threshold that one might run into, if one were to instead design orthogonal systems where-in specificity is incorporated during the computational design stage itself a priori. A Pareto frontier plot indicating the specificity versus stability trade-off is plotted. We conclude that a bottom-up design approach, incorporating design of specificity during the sequence design stage, would be a better way forward for achieving self-assembling orthogonality. In contrast to the complex chaperone assisted protein folding systems existing in nature, our method is a simplistic first step towards the complementary approach of modular synthetic collagen molecule design.Ph.D.Includes bibliographical referencesby Sandeep Vishwanath Belur
Resin and steel-reinforced resin used as injection materials in bolted connections
No full textInjection bolts are bolts in which the cavity produced by the clearance between the bolt and the wall of the hole is completely filled up with a two-component resin. Filling of the clearance is carried out through a small hole in the head of the bolt. After injection and complete curing, the connection is slip resistant. Recently the injection material, typically an epoxy resin, was modified at TU Delft by adding steel shots (spherical particles) to mitigate the effects of resin compliance in the shear connection of reusable composite (steel-concrete) structures. Experimental compressive material tests on unconfined/confined resin and steel-reinforced resin are evaluated in this chapter. The uniaxial model which combines damage mechanics and the Ramberg-Osgood relationship is proposed to describe the uniaxial compressive behavior of resin and steel-reinforced resin. First-order numerical homogenization is employed as a high-fidelity model, where a combined nonlinear isotropic/kinematic cyclic hardening model is employed to define the steel plasticity, the linear Drucker-Prager plastic criterion was used to simulate resin damage, and the cohesive surfaces reflecting the relationship between traction and displacement at the interface. The linear Drucker-Prager plastic model is used as a low-fidelity model.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Steel & Composite Structure
Anomaly-Based DNN Model for Intrusion Detection in IoT and Model Explanation: Explainable Artificial Intelligence
No full textIoT has gained immense popularity recently with advancements in technologies and big data. IoT network is dynamically increasing with the addition of devices, and the big data is generated within the network, making the network vulnerable to attacks. Thus, network security is essential, and an intrusion detection system is needed. In this paper, we proposed a deep learning-based model for detecting intrusions or attacks in IoT networks. We constructed a DNN model, applied a filter method for feature reduction, and tuned the model with different parameters. We also compared the performance of DNN with other machine learning techniques in terms of accuracy, and the proposed DNN model with weight decay of 0.0001 and dropout rate of 0.01 achieved an accuracy of 0.993, and the reduced loss on the NSL-KDD dataset having five classes. DL models are a black box and hard to understand, so we explained the model predictions using LIME.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Cyber Securit
Developing A Multiomic Association Between Ionizing Radiation Exposure And Biological Aging Processes For Space Exploration Purpose
No full textIf humans continue to push to be a space exploring species, time and radiation pose the most significant barriers. While not a new idea, approaching a rad-age association with today’s technology offers a fresh look at treating and monitoring both as a similar challenge. To get to that point, starting from square one helps shape the project and avoid common pitfalls. Each chapter is an incremental step to developing this association using multi-omics by building theoretical knowledge of the relationship between radioactive damage and aging processes, building technical knowledge by developing bioinformatic pipelines to integrate different -omes, using genetics data to create a new foundation for associative studies, then integrating epigenetic data to identify potential control mechanisms and corroborate a rad-age assessment. Results of each chapter include (1) a better understanding of how to develop an association and a comprehensive table of biological age indicators, (2) three submodules on processing genetic data, epigenetic data, and integrating the two, (3) using human genetics data to define a 29-year-old threshold between young and old patients to then identify 664 genes from various statistical analyses of age, radiation, sex, and dependent interactions of age and radiation, and (4) integrating human DNA methylation data with previous gene expression findings to narrow the list of genes of interest to 17 statistically significant genes with regard to p-value \u3c 0.05 and |fold-change|\u3e2. Functional analysis emphasize pathways dealing with DNA repair, mitochondrial function, immune response, and metabolism with diseases including cardiovascular diseases, cognitive disfunction, and a multitude of cancers. These 17 genes could serve as future starting points for dedicated studies on controlling rad-age outcomes and benefit outlooks on the radiation workforce, cancer radiotherapy, geriatrics, and general aerospace medicine
Programme 2023-2024
No full text 21 JUIN 2024 Peripheral Knowledges: Croiser les regards, croiser les sources : énoncés autochtones et discours ethnographiques Date: vendredi 21 juin 2024 Heure : 12h00 – 14h00 heure de Paris Lieu: Salle : salle 830, Bâtiment Olympe de Gouges, Place Paul Ricoeur, Université Paris Cité Zoom : https://u-paris.zoom.us/j/81518884438?pwd=ivOZB4hC437a9HstFdXqZ0GHVaUtES.1 Intervenant.es : Éléonore Devevey (maître-assistante, Université de Genève) Nathan Norris (Ph..
- …
