Results 61 to 70 of about 33,284,612 (360)
Structural Equation Modeling and Regression: Guidelines for Research Practice
The growing interest in Structured Equation Modeling (SEM) techniques and recognition of their importance in IS research suggests the need to compare and contrast different types of SEM techniques so that research designs can be selected appropriately ...
David Gefen+2 more
semanticscholar +1 more source
Model Risk of Risk Models [PDF]
This paper evaluates the model risk of models used for forecasting systemic and market risk. Model risk, which is the potential for different models to provide inconsistent outcomes, is shown to be increasing with and caused by market uncertainty. During calm periods, the underlying risk forecast models produce similar risk readings, hence, model risk ...
Danielsson, Jon+3 more
openaire +5 more sources
occumb: An R package for site occupancy modeling of eDNA metabarcoding data
This study introduces a new R package, occumb, for the convenient application of site occupancy modeling using environmental DNA (eDNA) metabarcoding data. We outline a data analysis workflow, including data setup, model fitting, model assessment, and comparison of potential study settings based on model predictions, all of which can be performed using
Keiichi Fukaya, Yuta Hasebe
wiley +1 more source
Micro-modeling of stack bond masonry in compression using a plasticity law [PDF]
A set of experimental tests to determine the compressive strength of masonry stack prisms has been numerically simulated using a combined plasticity-smeared crack constitutive law employed in three-dimensional ...
Drougkas, Anastasios+2 more
core
The ability to develop, use, and refine models of experimental systems is a nationally recognized learning outcome for undergraduate physics lab courses. However, no assessments of students' model-based reasoning exist for upper-division labs. This study
Dounas-Frazer, Dimitri R.+4 more
core +1 more source
Non-model model organisms [PDF]
Model organisms are widely used in research as accessible and convenient systems to study a particular area or question in biology. Traditionally only a handful of organisms have been widely studied, but modern research tools are enabling researchers to extend the set of model organisms to include less-studied and more unusual systems.
Madeline A. Lancaster+20 more
openaire +6 more sources
Dendritic cells steering antigen and leukocyte traffic in lymph nodes
Dendritic cells are key players in the activation of T cells and their commitment to effector function. In this In a Nutshell Review, we will discuss how dendritic cells guide the trafficking of antigen and leukocytes in the lymph node, thus influencing T‐cell activation processes. Dendritic cells (DCs) play a central role in initiating and shaping the
Enrico Dotta+3 more
wiley +1 more source
Creation of the spacecraft’s command-and-measurement system’s heterogeneous simulation model
This article presents software tools designed for construction of heterogeneous models by software integration of logical models having their work methods set in the knowledge bases and engineering models created in a technical simulation environment. In
O. S. Isaeva+5 more
doaj +1 more source
3D physical modeling of tsunamis generated by submerged landslides at a conical island. The role of initial acceleration [PDF]
This paper presents a new set of 3D experiments aimed to gain insight on the role of the initial acceleration upon the generation process of tsunamis by submerged landslides that may occur at the flanks of conical islands.
Bellotti, G.+7 more
core
Nested Models and Model Uncertainty [PDF]
AbstractUncertainty about the appropriate choice among nested models is a concern for optimal policy when policy prescriptions from those models differ. The standard procedure is to specify a prior over the parameter space, ignoring the special status of submodels (e.g., those resulting from zero restrictions).
Kriwoluzky, A., Stoltenberg, C.A.
openaire +8 more sources