Results 251 to 260 of about 2,205,726 (308)
Weakening the nuclear envelope: Lamin B receptor in melanoma metastasis
LBR‐driven nuclear fragility supports melanoma invasion. A: Melanocyte presents low LBR (Lamin B Receptor) levels, maintaining nuclear integrity and lamina‐chromatin tethering. B: During malignant progression, upregulation of LBR clusters at the INM (Inner Nuclear Membrane) during confined migration causes local lamina weakening and cholesterol ...
Francesca Lorenzini +1 more
wiley +1 more source
Does Timing Matter? Exploring the Effects of Measurement Error on Models. [PDF]
Sherlock BD +3 more
europepmc +1 more source
Developing and internally validating AI-based aging resilience biomarkers in non-human primates. [PDF]
Bennett RF +7 more
europepmc +1 more source
Preoperative hemoglobin glycation index and postoperative complications after non-cardiac surgery: a retrospective cohort study. [PDF]
Zhang Y, Lan L, Zhang Y, Shen L.
europepmc +1 more source
Complexity of fractal dimension patterns and machine learning-based classification of altered motor cortical oscillatory activity in rodent models of Parkinson disease. [PDF]
Alam M +4 more
europepmc +1 more source
Integrating physical modeling with artificial intelligence for predicting fish survival zones in polluted rivers to maintain a sustainable aquaculture industry. [PDF]
El-Sattar HKA +3 more
europepmc +1 more source
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1992
Abstract Experimental designs for non-linear models depend on the values of the parameters, which will generally be unknown. In this section we first give four examples of non-linear models and then consider the general implications for design of this dependence on unknown values.
A C Atkinson, A N Donev
openaire +2 more sources
Abstract Experimental designs for non-linear models depend on the values of the parameters, which will generally be unknown. In this section we first give four examples of non-linear models and then consider the general implications for design of this dependence on unknown values.
A C Atkinson, A N Donev
openaire +2 more sources
Theoretical and Applied Genetics, 1982
A model, developed by Seyffert and Forkmann (1976), simulates quantitative characters by genes with biochemically definable action. This model, however, possesses a number of shortcomings which have been overcome by a modified model of the form: [Formula: see text] where [Formula: see text] is the score of the genotype [x1,...
openaire +2 more sources
A model, developed by Seyffert and Forkmann (1976), simulates quantitative characters by genes with biochemically definable action. This model, however, possesses a number of shortcomings which have been overcome by a modified model of the form: [Formula: see text] where [Formula: see text] is the score of the genotype [x1,...
openaire +2 more sources

