Showing 1,241 - 1,260 results of 5,974 for search '((pinnae OR (spie OR spike)) OR ((((ping OR eng) OR pion) OR (linbo OR brings)) OR link))', query time: 0.18s Refine Results
  1. 1241

    Detection of functional and topological modules in protein interaction networks by Ranjan, Bobby

    Published 2018
    “…In this project, we explored the potential of using four common module detection algorithms - stochastic block model, Louvain method, modified Louvain (incremental Louvain) method and link community - in order to detect functional modules of for protein interaction networks. …”
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    Final Year Project (FYP)
  2. 1242
  3. 1243

    Lower diastolic tension may be indicative of higher proarrhythmic propensity in failing human cardiomyocytes by Zhou, X, Levesque, P, Chaudhary, K, Davis, M, Rodriguez, B

    Published 2024
    “…We aim to investigate the mechanistic link between proarrhythmic abnormalities, reduced contractility and diastolic dysfunction in heart failure, using electromechanical modelling and simulations of human failing cardiomyocytes. …”
    Journal article
  4. 1244

    Multivariate central limit theorems for random clique complexes by Temčinas, T, Nanda, V, Reinert, G

    Published 2023
    “…These are:</p> <br> <p>(1) the vector of critical simplex counts attained by a lexicographical Morse matching,</br> (2) the vector of simplex counts in the link of a fixed simplex, and<br> (3) the vector of total simplex counts.…”
    Journal article
  5. 1245

    Strong and weak random walks on signed networks by Babul, SA, Tian, Y, Lambiotte, R

    Published 2025
    “…Comparing strong and weak walks on synthetic and empirical networks, we demonstrate that weak walks outperform strong walks in scenarios involving more than two communities or asymmetric link densities. Our findings suggest that replacing strong walks with weak walks could enhance other signed network random-walk algorithms, broadening their applicability to more realistic network structures.…”
    Journal article
  6. 1246

    ‘Canon in colour’: contextual knowledge of race and empire as powerful knowledge by Elliott, V

    Published 2024
    “…I argue that ‘canon in colour’ is an example of powerful knowledge, and link this account to Hodgson & Harris’s (2024) concept of horizontal literacy. …”
    Journal article
  7. 1247

    Gender equality, growth, and how a technological trap destroyed female work by Humphries, J, Schneider, B

    Published 2021
    “…We sketch the pathways within the development literature that have been hypothesised as linking equality for women to rising incomes and the reverse channels, from higher incomes to equality. …”
    Working paper
  8. 1248

    Function and regulation of the ADP-ribosylhydrolase TARG1 by Groslambert, J

    Published 2024
    “…The previously proposed role of the ADP-ribosylhydrolase TARG1 in the DNA damage response, along with its link to neurodegeneration, underscored the crucial activity of this hydrolytic enzyme in maintaining cellular homeostasis. …”
    Thesis
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  19. 1259

    Opportunities and Limitations of Earth Observation Technology for Environmental Justice Advocacy: A Case Study of Toxic Prisons in the U.S. by Ovienmhada, Ufuoma

    Published 2024
    “…This application is increasingly more pressing as space agencies like NASA are seeking information on how their data can be used to support underserved communities. This dissertation brings together EO data science, systems engineering, and community- engagement to elucidate opportunities and limitations of Earth Observation Technology for Environmental Justice Advocacy. …”
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    Thesis
  20. 1260

    Structure-aware generation network for recipe generation from images by Wang, Hao, Lin, Guosheng, Hoi, Steven C. H., Miao, Chunyan

    Published 2021
    “…To address the above limitations, we propose a novel framework of Structure-aware Generation Network (SGN) to tackle the food recipe generation task. Our approach brings together several novel ideas in a systematic framework: (1) exploiting an unsupervised learning approach to obtain the sentence-level tree structure labels before training; (2) generating trees of target recipes from images with the supervision of tree structure labels learned from (1); and (3) integrating the inferred tree structures with the recipe generation procedure. …”
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    Conference Paper