Results 31 to 40 of about 2,534,918 (292)

Optimal control of nonlinear systems: a predictive control approach [PDF]

open access: yes, 2003
A new nonlinear predictive control law for a class of multivariable nonlinear systems is presented in this paper. It is shown that the closed-loop dynamics under this nonlinear predictive controller explicitly depend on design parameters (prediction time
Gawthrop, P. J.   +8 more
core   +1 more source

Regime Specific Predictability in Predictive Regressions [PDF]

open access: yesSSRN Electronic Journal, 2010
Predictive regressions are linear specifications linking a noisy variable such as stock returns to past values of a more persistent regressor with the aim of assessing the presence of predictability. Key complications that arise are the potential presence of endogeneity and the poor adequacy of asymptotic approximations.
Gonzalo, Jesus, Pitarakis, Jean-Yves
openaire   +7 more sources

Anti‐PD‐(L)1 Antibodies: Insights From QSP‐Based Meta‐Analysis

open access: yesCPT: Pharmacometrics & Systems Pharmacology
Checkpoint inhibitors that target PD‐1 or PD‐L1 have had a profound effect in a variety of cancers, both as a single therapy and in combinations. Meta‐analyses suggest that monoclonal antibodies (mAbs) targeting PD‐1 may yield better survival outcomes ...
Carter L. Johnson   +8 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

Algorithms with Predictions

open access: yesCommunications of the ACM, 2020
Seeking a new approach that goes beyond worst-case analysis.
Michael Mitzenmacher   +1 more
openaire   +3 more sources

Predicting the Predictive Power of IDP Ensembles [PDF]

open access: yesStructure, 2014
The function of intrinsically disordered proteins may be interpreted in terms of their structural ensembles. The article by Schwalbe and colleagues in this issue of Structure combines NMR and SAXS constraints to generate structural ensembles that unveil important functional and pathological features.
Tompa, Péter, Váradi, Mihály
openaire   +3 more sources

Polynomial approach to nonlinear predictive generalized minimum variance control [PDF]

open access: yes, 2010
A relatively simple approach to non-linear predictive generalised minimum variance (NPGMV) control is introduced for non-linear discrete-time multivariable systems.
Majecki, P.M., Grimble, M.J.
core   +4 more sources

Interactions of Therapeutic Antibodies With Presynaptically‐Released Misfolded Proteins in Neurodegenerative Diseases. A Spatial Monte‐Carlo Simulation Study

open access: yesCPT: Pharmacometrics & Systems Pharmacology
The spatial progression hypothesis of misfolded tau and alpha‐synuclein proteins in Alzheimer's and Parkinson's Disease proposes the release of proteins from a presynaptic membrane followed by diffusion over the synaptic cleft and uptake by the ...
Jamie Goff   +4 more
doaj   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan   +18 more
wiley   +1 more source

Sorting with Predictions

open access: yesAdvances in Neural Information Processing Systems 36, 2023
We explore the fundamental problem of sorting through the lens of learning-augmented algorithms, where algorithms can leverage possibly erroneous predictions to improve their efficiency. We consider two different settings: In the first setting, each item is provided a prediction of its position in the sorted list. In the second setting, we assume there
Bai, X, Coester, C
openaire   +4 more sources

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