Search results for "model [interaction]"
showing 10 items of 1495 documents
Effects of COVID-19 on Business Models in Romania and the Netherlands, A Digitalization Perspective
2020
Abstract The research objective is to study how Romanian and Dutch organizations’ business models have changed under COVID-19 conditions. The role of digitalization in adapting business models and business practices is studied. The theoretical background reviews literature about business models and their dimensions. Literature review investigated digitalization in Romanian and Dutch organizations. Research questions were: To what extent do Romanian and Dutch organizations use: • more digital methods in their offer to their clients now than before the crisis? • more digital methods in their business processes now than before the crisis? • more digital methods in communicating with their clie…
Philosophy and science: the axes of evil in disability studies?
2007
In this review, I concentrate on analysing the response Tom Shakespeare’s Disability rights and wrongs has awoken in the disability studies community. I argue that the complicated relationship between politics and science is the underlying cause for many controversies in disability studies. The research field should regain its autonomy and scrutinise properly its ontological premises. The field of disability studies in the UK is in turmoil. During the past 10 years or so, there have been several debates that have revolved around the social model of disability. The latest source of a heated debate is Tom Shakespeare’s Disability rights and wrongs . Many of us working outside the UK have foll…
Endothelin-1-Mediated Drug Resistance in EGFR-Mutant Non-Small Cell Lung Carcinoma.
2020
Abstract Progression on therapy in non-small cell lung carcinoma (NSCLC) is often evaluated radiographically, however, image-based evaluation of said therapies may not distinguish disease progression due to intrinsic tumor drug resistance or inefficient tumor penetration of the drugs. Here we report that the inhibition of mutated EGFR promotes the secretion of a potent vasoconstrictor, endothelin-1 (EDN1), which continues to increase as the cells become resistant with a mesenchymal phenotype. As EDN1 and its receptor (EDNR) is linked to cancer progression, EDNR-antagonists have been evaluated in several clinical trials with disappointing results. These trials were based on a hypothesis that…
VEGF-targeted therapy stably modulates the glycolytic phenotype of tumor cells
2014
Abstract Anti-VEGF therapy perturbs tumor metabolism, severely impairing oxygen, glucose, and ATP levels. In this study, we investigated the effects of anti-VEGF therapy in multiple experimental tumor models that differ in their glycolytic phenotypes to gain insights into optimal modulation of the metabolic features of this therapy. Prolonged treatments induced vascular regression and necrosis in tumor xenograft models, with highly glycolytic tumors becoming treatment resistant more rapidly than poorly glycolytic tumors. By PET imaging, prolonged treatments yielded an increase in both hypoxic and proliferative regions of tumors. A selection for highly glycolytic cells was noted and this met…
Increased basic fibroblast growth factor release and proliferation in xenotransplanted squamous cell carcinoma after combined irradiation/anti-vascul…
2012
Novel strategies of cancer therapy combine irradiation and anti-angiogenic active compounds. However, little is known concerning the undesired cellular and molecular effects caused by this novel treatment concept. We used a mouse squamous cell carcinoma (SCC) xenotransplantation model to evaluate the potential undesired effects which compromise the success of this therapeutic combination. SCCs were subcutanously implanted in nude mice. Animals were treated with a fractionated irradiation scheme (5x4 Gy) alone or in combination with daily injections of anti-vascular endothelial growth factor (VEGF) antibodies. Controls remained untreated. Before and after treatment, resonance imaging (MRI), …
Ovine Carotid Artery-Derived Cells as an Optimized Supportive Cell Layer in 2-D Capillary Network Assays
2014
PLoS one 9(3), e91664 (2014). doi:10.1371/journal.pone.0091664
Nonlocal Second Order Vehicular Traffic Flow Models And Lagrange-Remap Finite Volumes
2011
In this paper a second order vehicular macroscopic model is derived from a microscopic car–following type model and it is analyzed. The source term includes nonlocal anticipation terms. A Finite Volume Lagrange–remap scheme is proposed.
Prediction of Molecular Volume and Surface of Alkanes by Molecular Topology.
2003
Molecular volume and molecular surface are expressed as a function of topological degree in alkane graphs. This allows not only a straightforward approach to calculate such physicochemical magnitudes but also an interpretation of the role of the local vertex invariant (LOVI) or valence degree, delta, as well as the connectivity indices in the prediction of physicochemical properties. The interpretation is based on the concept of molecular accessibility (as introduced by Estrada, J. Phys. Chem. A 2002, 106, 9085) for which precise mathematical definitions are provided.
Numerical study of blow-up in solutions to generalized Kadomtsev-Petviashvili equations
2013
We present a numerical study of solutions to the generalized Kadomtsev-Petviashvili equations with critical and supercritical nonlinearity for localized initial data with a single minimum and single maximum. In the cases with blow-up, we use a dynamic rescaling to identify the type of the singularity. We present a discussion of the observed blow-up scenarios.
Comparison of machine learning models for gully erosion susceptibility mapping
2020
© 2019 China University of Geosciences (Beijing) and Peking University Gully erosion is a disruptive phenomenon which extensively affects the Iranian territory, especially in the Northern provinces. A number of studies have been recently undertaken to study this process and to predict it over space and ultimately, in a broader national effort, to limit its negative effects on local communities. We focused on the Bastam watershed where 9.3% of its surface is currently affected by gullying. Machine learning algorithms are currently under the magnifying glass across the geomorphological community for their high predictive ability. However, unlike the bivariate statistical models, their structu…