Showing 201 - 220 results of 1,840 for search '(regulars OR ((regulates OR regulateds) OR regulate))', query time: 0.16s Refine Results
  1. 201
  2. 202

    Learning from the community: iterative co-production of a programme to support the development of attention, regulation and thinking skills in toddlers at elevated likelihood of autism or ADHD by Hendry, A, Hulks, V, Murphy, S, Radford, H, Smith, S, Charman, T, Mathers, S, Rhodes, S, Scerif, G

    Published 2025
    “…The logic model for the resultant programme—Supporting Toddlers with a connection to autism or ADHD to develop strong Attention, Regulation and Thinking skills (START)—involves three mechanisms of change: The child has appropriate play-based opportunities to practise EF skills; Parenting behaviours linked to strong EFs are encouraged; Parents are empowered to improve environmental-fit for their child so that EF stressors are reduced.…”
    Journal article
  3. 203

    Emerging functions of alternative splicing coupled with nonsense-mediated decay by Hamid, Fursham M., Makeyev, Eugene V.

    Published 2015
    Subjects: “…Post-transcriptional regulation of gene expression…”
    Get full text
    Get full text
    Journal Article
  4. 204
  5. 205
  6. 206

    Controlling fibrous capsule formation through long-term down-regulation of collagen type I (COL1A1) expression by nanofiber-mediated siRNA gene silencing by Rujitanaroj, Pim-On, Jao, Brian, Yang, Junghoon, Wang, Feng, Anderson, James M., Wang, Jun, Chew, Sing Yian

    Published 2013
    “…In this study, we investigated the efficacy of siRNA–poly(caprolactone-co-ethylethylene phosphate) nanofibers in controlling fibrous capsule formation through the down-regulation of collagen type I (COL1A1) in vitro and in vivo. …”
    Get full text
    Get full text
    Journal Article
  7. 207
  8. 208

    Manifold regularized stochastic block model by He, Tiantian, Bai, Lu, Ong, Yew-Soon

    Published 2021
    “…To fill this void, we propose a novel SBM dubbed manifold regularized stochastic model (MrSBM) to perform the task of unsupervised learning in network data in this paper. …”
    Get full text
    Conference Paper
  9. 209
  10. 210
  11. 211

    On the clique number of a strongly regular graph by Greaves, Gary Royden Watson, Soicher, Leonard H.

    Published 2021
    “…We determine new upper bounds for the clique numbers of strongly regular graphs in terms of their parameters. These bounds improve on the Delsarte bound for infinitely many feasible parameter tuples for strongly regular graphs, including infinitely many parameter tuples that correspond to Paley graphs.…”
    Get full text
    Journal Article
  12. 212

    Reconciling Bayesian and perimeter regularization for binary inversion by Dunbar, Oliver R. A., Dunlop, Matthew M., Elliott, Charles M., Hoang, Viet Ha, Stuart, Andrew M.

    Published 2021
    “…A central theme in classical algorithms for the reconstruction of discontinuous functions from observational data is perimeter regularization via the use of total variation. On the other hand, sparse or noisy data often demand a probabilistic approach to the reconstruction of images, to enable uncertainty quantification; the Bayesian approach to inversion, which itself introduces a form of regularization, is a natural framework in which to carry this out. …”
    Get full text
    Journal Article
  13. 213

    Laplacian embedded regression for scalable manifold regularization by Chen, Lin, Tsang, Ivor Wai-Hung, Xu, Dong

    Published 2013
    “…In particular, the manifold regularization framework has laid solid theoretical foundations for a large family of SSL algorithms, such as Laplacian support vector machine (LapSVM) and Laplacian regularized least squares (LapRLS). …”
    Get full text
    Get full text
    Journal Article
  14. 214

    TRIPs-Py: Techniques for regularization of inverse problems in python by Pasha, Mirjeta, Gazzola, Silvia, Sanderford, Connor, Ugwu, Ugochukwu O.

    Published 2024
    “…The solvers available in TRIPs-Py include direct regularization methods (such as truncated singular value decomposition and Tikhonov) and iterative regularization techniques (such as Krylov subspace methods and recent solvers for ℓ𝑝 -ℓ𝑞 formulations, which enforce sparse or edge-preserving solutions and handle different noise types). …”
    Get full text
    Article
  15. 215

    Regularizing variational methods for robust object boundary detection by Fang, Wen

    Published 2009
    “…In order to achieve a robust object detection, additional boundary constraints need to be incorporated into the variational methods to regularize the curve evolution. In this thesis, two new boundary constraints are proposed. …”
    Get full text
    Thesis
  16. 216
  17. 217
  18. 218

    Laplacian Regularized Subspace Learning for interactive image re-ranking by Zhang, Lining., Wang, Lipo., Lin, Weisi.

    Published 2013
    “…In this paper, we propose a novel subspace learning based IR scheme by using a graph embedding framework, termed Laplacian Regularized Subspace Learning (LRSL). The LRSL method can model both within-class compactness and between-class separation by specially designing an intrinsic graph and a penalty graph in the graph embedding framework, respectively. …”
    Get full text
    Get full text
    Conference Paper
  19. 219

    Enhancing exemplar SVMs using part level transfer regularization by Aytar, Y, Zisserman, A

    Published 2012
    “…<br> In this paper we introduce a method of part based transfer regularization that boosts the performance of E-SVMs, with a negligible additional cost. …”
    Conference item
  20. 220

    Understanding collective regularity in human mobility as a familiar stranger phenomenon by Leng, Yan, Santistevan, Dominiquo, Pentland, Alex

    Published 2022
    “…To understand the social and spatial components of familiar strangers more deeply, we study the temporal regularity and spatial structure of collective urban mobility to shed light on the mechanisms that guide these interactions. …”
    Get full text
    Article