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The PI3Kδ inhibitor roginolisib (IOA‐244) preserves T‐cell function and activity
Molecular Oncology, EarlyView.Identification of novel PI3K inhibitors with limited immune‐related adverse effects is highly sought after. We found that roginolisib and idelalisib inhibit chronic lymphocytic leukemia (CLL) cells and Treg suppressive functions to similar extents, but roginolisib affects cytotoxic T‐cell function and promotion of pro‐inflammatory T helper subsets to a
Elise Solli +7 more
wiley +1 more source
The Journal of Risk Model Validation, 2008 Model risk as part of the operational risk is a serious problem for financial institutions. As the pricing of derivatives as well as the computation of the market or credit risk of an institution depend on statistical models the application of a wrong model can lead to a serious overor underestimation of the institution’s risk.
Sibbertsen, Philipp +2 more
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1994
Im Unterschied zu den vorausgegangenen Kapiteln nehmen wir an, das an einem Objekt/Subjekt (z.B. Patient) nicht nur eine Beobachtung vorgenommen wird, sondern das wiederholte Beobachtungen vorliegen. Diese wiederholten Messungen (repeated measures oder repeated measurements) werden zu vorher definierten Zeitpunkten erhoben und sollen Auskunft geben ...
openaire +1 more source
Im Unterschied zu den vorausgegangenen Kapiteln nehmen wir an, das an einem Objekt/Subjekt (z.B. Patient) nicht nur eine Beobachtung vorgenommen wird, sondern das wiederholte Beobachtungen vorliegen. Diese wiederholten Messungen (repeated measures oder repeated measurements) werden zu vorher definierten Zeitpunkten erhoben und sollen Auskunft geben ...
openaire +1 more source
Advancing formative measurement models
Journal of Business Research, 2008Formative measurement models were first introduced in the literature more than forty years ago and the discussion about their methodological contribution has been increasing since the 1990s. However, the use of formative indicators for construct measurement in empirical studies is still scarce.
Diamantopoulos, Adamantios +2 more
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Measuring Clustering Model Complexity
2017The capacity of a clustering model can be defined as the ability to represent complex spatial data distributions. We introduce a method to quantify the capacity of an approximate spectral clustering model based on the eigenspectrum of the similarity matrix, providing the ability to measure capacity in a direct way and to estimate the most suitable ...
Rovetta, Stefano +2 more
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Chemoreflex Model Parameters Measurement
1998In 1966, Lloyd introduced a model of the control of breathing (12). In our current version this model, ventilation (V) is the sum of three components; central and peripheral chemoreflex drives to ventilation (Vc and Vp, respectively), and a basal ventilatory drive (Vb) dependent on state.
R M, Mohan +5 more
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Performance measurement systems - Models, characteristics and measures
International Journal of Operations & Production Management, 2001In spite of the increasing importance of performance measurement in operations management, few large scale empirical studies concern models, characteristics and indicators of the performance measurement systems (PMSs). Results of a survey conducted in 115 medium and large sized Italian manufacturing firms operating in three main industries are ...
DE TONI, Alberto Felice +1 more
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Flexible Parametric Measurement Error Models
Biometrics, 1999Summary.Inferences in measurement error models can be sensitive to modeling assumptions. Specifically, if the model is incorrect, the estimates can be inconsistent. To reduce sensitivity to modeling assumptions and yet still retain the efficiency of parametric inference, we propose using flexible parametric models that can accommodate departures from ...
Carroll, Raymond J. +2 more
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980
Many measures have been developed to quantify the structural properties of image texture. This correspondence explores their applicability to textures generated by several standard models.
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Many measures have been developed to quantify the structural properties of image texture. This correspondence explores their applicability to textures generated by several standard models.
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2003
Although DEA does not need a priori information on the underlying functional forms and weights among various input and output measures, it assumes proportional improvements of inputs or outputs. This assumption becomes invalid when a preference structure over the improvement of different inputs (outputs) is present in evaluating (inefficient) DMUs (see
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Although DEA does not need a priori information on the underlying functional forms and weights among various input and output measures, it assumes proportional improvements of inputs or outputs. This assumption becomes invalid when a preference structure over the improvement of different inputs (outputs) is present in evaluating (inefficient) DMUs (see
openaire +1 more source