Search Results - "GARDNER, P"

On the application of domain adaptation in structural health monitoring by Gardner, P., Liu, X., Worden, K.

“…•An outline of the applicability of domain adaptation in SHM.•The application of domain adaptation (DA) to population-based SHM (PBSHM).•Definitions of…”
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Foundations of population-based SHM, Part III: Heterogeneous populations – Mapping and transfer by Gardner, P., Bull, L.A., Gosliga, J., Dervilis, N., Worden, K.

“…•For the first time a new population-based methodology is proposed that alleviates problems with sparsity of data in SHM.•The applicability of domain…”
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An evaluation of the accuracy and speed of metagenome analysis tools by Lindgreen, Stinus, Adair, Karen L., Gardner, Paul P.

“…Metagenome studies are becoming increasingly widespread, yielding important insights into microbial communities covering diverse environments from terrestrial…”
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Evolving schema representations in orbitofrontal ensembles during learning by Zhou, Jingfeng, Jia, Chunying, Montesinos-Cartagena, Marlian, Gardner, Matthew P. H., Zong, Wenhui, Schoenbaum, Geoffrey

“…How do we learn about what to learn about? Specifically, how do the neural elements in our brain generalize what has been learned in one situation to recognize…”
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Solubility-Weighted Index: fast and accurate prediction of protein solubility by Bhandari, Bikash K, Gardner, Paul P, Lim, Chun Shen

“…Abstract Motivation Recombinant protein production is a widely used technique in the biotechnology and biomedical industries, yet only a quarter of target…”
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Convergent regulatory evolution and loss of flight in paleognathous birds by Sackton, Timothy B, Grayson, Phil, Cloutier, Alison, Hu, Zhirui, Liu, Jun S, Wheeler, Nicole E, Gardner, Paul P, Clarke, Julia A, Baker, Allan J, Clamp, Michele, Edwards, Scott V

“…A core question in evolutionary biology is whether convergent phenotypic evolution is driven by convergent molecular changes in proteins or regulatory regions…”
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Machine learning identifies signatures of host adaptation in the bacterial pathogen Salmonella enterica by Wheeler, Nicole E, Gardner, Paul P, Barquist, Lars

“…Emerging pathogens are a major threat to public health, however understanding how pathogens adapt to new niches remains a challenge. New methods are urgently…”
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Rethinking dopamine as generalized prediction error by Gardner, Matthew P H, Schoenbaum, Geoffrey, Gershman, Samuel J

“…Midbrain dopamine neurons are commonly thought to report a reward prediction error (RPE), as hypothesized by reinforcement learning (RL) theory. While this…”
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Essential guidelines for computational method benchmarking by Weber, Lukas M, Saelens, Wouter, Cannoodt, Robrecht, Soneson, Charlotte, Hapfelmeier, Alexander, Gardner, Paul P, Boulesteix, Anne-Laure, Saeys, Yvan, Robinson, Mark D

“…In computational biology and other sciences, researchers are frequently faced with a choice between several computational methods for performing data analyses…”
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On the application of kernelised Bayesian transfer learning to population-based structural health monitoring by Gardner, P., Bull, L.A., Dervilis, N., Worden, K.

“…Data-driven approaches to Structural Health Monitoring (SHM) generally suffer from a lack of available health-state data. In particular, for most structures,…”
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Semi-analytic forecasts for JWST – VI. Simulated light-cones and galaxy clustering predictions by Yung, L Y Aaron, Somerville, Rachel S, Ferguson, Henry C, Finkelstein, Steven L, Gardner, Jonathan P, Davé, Romeel, Bagley, Micaela B, Popping, Gergö, Behroozi, Peter

“…ABSTRACT In anticipation of the new era of high-redshift exploration marked by the commissioning of the James Webb Space Telescope (JWST), we present two sets…”
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Best practices for the management of local-regional recurrent chordoma: a position paper by the Chordoma Global Consensus Group by Stacchiotti, S., Gronchi, A., Fossati, P., Akiyama, T., Alapetite, C., Baumann, M., Blay, J.Y., Bolle, S., Boriani, S., Bruzzi, P., Capanna, R., Caraceni, A., Casadei, R., Colia, V., Debus, J., Delaney, T., Desai, A., Dileo, P., Dijkstra, S., Doglietto, F., Flanagan, A., Froelich, S., Gardner, P.A., Gelderblom, H., Gokaslan, Z.L., Haas, R., Heery, C., Hindi, N., Hohenberger, P., Hornicek, F., Imai, R., Jeys, L., Jones, R.L., Kasper, B., Kawai, A., Krengli, M., Leithner, A., Logowska, I., Martin Broto, J., Mazzatenta, D., Morosi, C., Nicolai, P., Norum, O.J., Patel, S., Penel, N., Picci, P., Pilotti, S., Radaelli, S., Ricchini, F., Rutkowski, P., Scheipl, S., Sen, C., Tamborini, E., Thornton, K.A., Timmermann, B., Torri, V., Tunn, P.U., Uhl, M., Yamada, Y., Weber, D.C., Vanel, D., Varga, P.P., Vleggeert-Lankamp, C.L.A., Casali, P.G., Sommer, J.

“…Chordomas are rare, malignant bone tumors of the skull-base and axial skeleton. Until recently, there was no consensus among experts regarding appropriate…”
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Past experience shapes the neural circuits recruited for future learning by Sharpe, Melissa J., Batchelor, Hannah M., Mueller, Lauren E., Gardner, Matthew P. H., Schoenbaum, Geoffrey

“…Experimental research controls for past experience, yet prior experience influences how we learn. Here, we tested whether we could recruit a neural population…”
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Analysis of 11,430 recombinant protein production experiments reveals that protein yield is tunable by synonymous codon changes of translation initiation sites by Bhandari, Bikash K, Lim, Chun Shen, Remus, Daniela M, Chen, Augustine, van Dolleweerd, Craig, Gardner, Paul P

“…Recombinant protein production is a key process in generating proteins of interest in the pharmaceutical industry and biomedical research. However, about 50%…”
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Tactile perception of the roughness of 3D-printed textures by Tymms, Chelsea, Zorin, Denis, Gardner, Esther P

“…Surface roughness is one of the most important qualities in haptic perception. Roughness is a major identifier for judgments of material composition, comfort,…”
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Equation discovery for nonlinear dynamical systems: A Bayesian viewpoint by Fuentes, R., Nayek, R., Gardner, P., Dervilis, N., Rogers, T., Worden, K., Cross, E.J.

“…•A novel approach to Bayesian equation discovery for nonlinear structural dynamical systems.•Proposed approach follows a hierarchical sparse Bayesian…”
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A comprehensive comparison of comparative RNA structure prediction approaches by Gardner, Paul P, Giegerich, Robert

“…An increasing number of researchers have released novel RNA structure analysis and prediction algorithms for comparative approaches to structure prediction…”
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Overcoming the problem of repair in structural health monitoring: Metric-informed transfer learning by Gardner, P., Bull, L.A., Dervilis, N., Worden, K.

“…Structural repairs alter the physical properties of a structure, changing its responses, both in terms of its normal condition and of its different damage…”
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Causal evidence supporting the proposal that dopamine transients function as temporal difference prediction errors by Maes, Etienne J. P, Sharpe, Melissa J., Usypchuk, Alexandra A., Lozzi, Megan, Chang, Chun Yun, Gardner, Matthew P. H., Schoenbaum, Geoffrey, Iordanova, Mihaela D.

“…Reward-evoked dopamine transients are well established as prediction errors. However, the central tenet of temporal difference accounts—that similar transients…”
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On risk-based active learning for structural health monitoring by Hughes, A.J., Bull, L.A., Gardner, P., Barthorpe, R.J., Dervilis, N., Worden, K.

“…A primary motivation for the development and implementation of structural health monitoring systems, is the prospect of gaining the ability to make informed…”
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