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24 results on '"Jacobsen, Judith L."'

1. LeucoPatch system for the management of hard-to-heal diabetic foot ulcers in the UK, Denmark, and Sweden: an observer-masked, randomised controlled trial

Author

Dhatariya, Ketan, Chant, Harvey, Spyer, Gill, Donohoe, Mollie, Uchegbu, Elizabeth, Whitelaw, Donald, Nayar, Rahul, Rossing, Peter, Gottlieb, Hans, Michelsen, Morton, Nielsen, Anna Marie, Houlind, Kim, Sørensen, Jan, Henneberg, Eskild, Jørgensen, Bo, Narayanan, Kilimangalam, Kong, Marie-France, Tarik, Ammar, Gandhi, Rajiv, Hariman, Christian, Oguntolu, Victor, Rayman, Gerry, Siddique, Haroon, D'Costa, Ryan, Maguire, Deidre, Aung, Theingi, Holmer, Helene, Catrina, Sergiu-Bogdan, Ogunko, Arthur, Rajbhandari, Satyan, Russell, David, Game, Frances, Jeffcoate, William, Tarnow, Lise, Jacobsen, Judith L, Whitham, Diane J, Harrison, Eleanor F, Ellender, Sharon J, Fitzsimmons, Deborah, and Löndahl, Magnus

Published
2018
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3. Estimation of a low pass filter for solar radiation data

Author

Jacobsen, Judith L., Madsen, Henrik, Harremoës, Poul, Arkeryd, Leif, editor, Engl, Heinz, editor, Fasano, Antonio, editor, Mattheij, Robert M. M., editor, Neittaanmäki, Pekka, editor, Neunzert, Helmut, editor, Brøns, Morton, editor, Bendsøe, Martin Philip, editor, and Sørensen, Mads Peter, editor

Published
1997
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9. LeucoPatch system for the management of hard-to-heal diabetic foot ulcers in the UK, Denmark, and Sweden:an observer-masked, randomised controlled trial

Author

Game, Frances, Jeffcoate, William, Tarnow, Lise, Jacobsen, Judith L., Whitham, Dianej, Harrison, Eleanor F., Ellender, Sharon J., Fitzsimmons, Deborah, Londahl, Magnus, Game, Frances, Jeffcoate, William, Tarnow, Lise, Jacobsen, Judith L., Whitham, Dianej, Harrison, Eleanor F., Ellender, Sharon J., Fitzsimmons, Deborah, and Londahl, Magnus

Published
2018

10. LeucoPatch system for the management of hard-to-heal diabetic foot ulcers in the UK, Denmark, and Sweden: an observer-masked, randomised controlled trial

Author

Game, Frances, primary, Jeffcoate, William, additional, Tarnow, Lise, additional, Jacobsen, Judith L, additional, Whitham, Diane J, additional, Harrison, Eleanor F, additional, Ellender, Sharon J, additional, Fitzsimmons, Deborah, additional, Löndahl, Magnus, additional, Dhatariya, Ketan, additional, Chant, Harvey, additional, Spyer, Gill, additional, Donohoe, Mollie, additional, Uchegbu, Elizabeth, additional, Whitelaw, Donald, additional, Nayar, Rahul, additional, Rossing, Peter, additional, Gottlieb, Hans, additional, Michelsen, Morton, additional, Nielsen, Anna Marie, additional, Houlind, Kim, additional, Sørensen, Jan, additional, Henneberg, Eskild, additional, Jørgensen, Bo, additional, Narayanan, Kilimangalam, additional, Kong, Marie-France, additional, Tarik, Ammar, additional, Gandhi, Rajiv, additional, Hariman, Christian, additional, Oguntolu, Victor, additional, Rayman, Gerry, additional, Siddique, Haroon, additional, D'Costa, Ryan, additional, Maguire, Deidre, additional, Aung, Theingi, additional, Holmer, Helene, additional, Catrina, Sergiu-Bogdan, additional, Ogunko, Arthur, additional, Rajbhandari, Satyan, additional, and Russell, David, additional

Published
2018
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14. Dynamic modelling of processes in rivers affected by precipitation runoff

Author

Jacobsen, Judith L.

Abstract

In this thesis, models for the dynamics of oxygen and organic matter in receiving waters (such as rivers and creeks), which are affected by rain, are developed. A time series analysis framework is used, but presented with special emphasis on continuous time state space models. Also, the concept of model identifiability is attended. For estimation of the parameters in the models the maximum likelihood method is used and the Kalman filter employed to evaluate the likelihood function. In the case of non-linear models, the extended Kalman filter is used. To evaluate the models, various residual analysis methods and model validation tools are employed. To develop the water quality model, including hydraulic relations and the states of oxygen and organic matter, the qualitative concepts of the physical, biological and chemical models are introduced. The model types used in this thesis are one-dimensional stochastic models. Most of the models are based on measurements from one measuring station, though models based on the linear reservoir description applied to measurements from two measuring stations are also considered. Both time varying and time invariant models are employed. In the models, the oxygen dynamic complex includes reaeration, photosynthesis, respiration and degradation of organic matter. The effect of pre-filtering data is investigated, as is various functions for photosynthesis as a function of solar radiation. For the degradation of organic matter delayed reactions have been studied. In most models, precipitation in the form of rain have been included to study the impact from this. Finally, the future and industrial perspectives are presented, along with a list of suggestions for future research related to the subjects considered in this thesis.

Published
1997

15. Grey-box modelling of pharmacokinetic/pharmacodynamic systems

Author

Tornøe, Christoffer Wenzel, Jacobsen, Judith L, Pedersen, Oluf, Hansen, Torben, Madsen, Henrik Tækker, Tornøe, Christoffer Wenzel, Jacobsen, Judith L, Pedersen, Oluf, Hansen, Torben, and Madsen, Henrik Tækker

Abstract

Grey-box pharmacokinetic/pharmacodynamic (PK/PD) modelling is presented as a promising way of modelling PK/PD systems. The concept behind grey-box modelling is based on combining physiological knowledge along with information from data in the estimation of model parameters. Grey-box modelling consists of using stochastic differential equations (SDEs) where the stochastic term in the differential equations represents unknown or incorrectly modelled dynamics of the system. The methodology behind the grey-box PK/PD modelling framework for systematic model improvement is illustrated using simulated data and furthermore applied to Bergman's minimal model of glucose kinetics using clinical data from an intravenous glucose tolerance test (IVGTT). The grey-box estimates of the stochastic system noise parameters indicate that the glucose minimal model is too simple and should preferably be revised in order to describe the complicated in vivo system of insulin and glucose following an IVGTT.

Published
2004

24. LETTERS.

Author

de Geest, Cees, Hoggins, Peter, Skinner, Alistair, McGee, Kim, Jacobsen, Judith L., Rollason, Martin, Millar, Kit, and Roque, Jaime

Published
2016

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