A Relationship-Driven Framework for Model Merging

2007 ◽  
Author(s):  
Mehrdad Sabetzadeh ◽  
Shiva Nejati ◽  
Steve Easterbrook ◽  
Marsha Chechik
Keyword(s):  
Model Merging

scholarly journals An open system model of decision-making and temporal oscillations in preference strength

2020 ◽  
Author(s):  
Peter D. Kvam ◽  
Jerome R Busemeyer ◽  
Timothy Joseph Pleskac
Keyword(s):  
Decision Making ◽  
Open System ◽  
Epistemic Uncertainty ◽  
System Model ◽  
Dynamic Changes ◽  
Model Merging ◽  
Constructive Process ◽  
Preference Strength ◽  
Over Time ◽  
Suppression Effects

Contemporary theories of choice posit that decision making is a constructive process in which a decision maker uses information about the choice options to generate support for various decisions and judgments, then uses these decisions and judgments to reduce their uncertainty about their own preferences. Here we examine how these constructive processes unfold by tracking dynamic changes in preference strength. Across two experiments, we observed that mean preference strength oscillated over time and found that eliciting a choice strongly affected the pattern of oscillation. Preferences following choices oscillated between being stronger than those without prior choice (bolstering) and being weaker than those without choice (suppression). An open system model, merging epistemic uncertainty about how a person reacts to options and ontic uncertainty about how their preference is affected by choice, accounts for the oscillations resulting in both bolstering and suppression effects.

P4488Organotypic culture of the epicardium: a new tool for cardiovascular research

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
D Maselli ◽  
R D Johnson ◽  
R Szilveszter Matos ◽  
C Chiappini ◽  
P Camelliti ◽  
...  
Keyword(s):  
Cell Fate ◽  
Cell Tracking ◽  
Ex Vivo ◽  
Border Zone ◽  
Paracrine Factors ◽  
Porcine Heart ◽  
Epicardial Cells ◽  
Vascular Regeneration ◽  
Model Merging

Abstract Background The epicardium, the most external layer of the heart, is composed of a layer of epithelial cells and underlying connective tissue. Following myocardial infarction, epicardial cells are activated and provide a source of paracrine factors and progenitor cells. In the border zone of the ischaemic tissue, the activated epicardial cells support cardiac and vascular regeneration by releasing pro-angiogenic and pro-survival factors, and by differentiating towards multiple cell lineages. During this process, activated epicardial cells migrate to the site of injury where they contribute to both post-ischemic remodelling and fibrosis. There is limited knowledge of the cellular and molecular regulation of these processes in large animals and humans, in part due to the lack of robust and representative models. Purpose In this project, we developed an ex vivo 3D organotypic model derived from porcine hearts, amenable to culture, which enables structural, molecular and cellular studies of the epicardium. Methods Thin epicardial/cardiac tissue slices (EpCardio-TS) were obtained by using a vibratome to cut the first layer of tissue from the epicardial side of porcine heart cubes. Slices were cultured for up to 72h in a bioreactor that uses a 3D printed chamber connected to a control system that allows maintenance and adjustment of culture conditions, and ensures continuous media flow. Local intracellular delivery of fluorescent quantum-dots (Qdots) was performed using nanoneedle chips to track epicardial cells, whilst cell fate is visualised in 3D by performing immunofluorescence on decolourised slices. Results Intact EpCardio-TS obtained from porcine heart included a viable epicardium, expressing typical epicardial markers (wt-1, mesothelin, uroplakin), and an electrically active myocardium. Live/dead staining showed epicardial (67.8±16.2%, N=5) and myocardial (40.8±28.6%, N=3) viability, and TUNEL assay confirmed low levels of apoptosis (6.3±5.1% of wt-1+ epicardial cells N=1). Moreover, the presence of proliferating epicardial cells (PCNA+), the increase in wt-1+ cells, and the increase in epicardial gene expression (Tbx18 and TCF21) suggested that cells maintain their progenitor phenotype and undergo activation in culture. Nanoinjection of fluorescent Qdots to EpCardio-TS localized them to the wt-1+ cells on the slice surface, presenting a strategy to mark the epicardial layer. This, combined with the successful decolourisation of the slices, provides an in vitro platform to track the role of epicardial cells in cardiac remodelling and fibrosis. Conclusions EpCardio-TS represents a robust ex vivo model merging the complexity of a 3D organotypic culture with the simplicity of the in vitro culture. EpCardio-TS are amenable to culture and cell tracking, and can therefore find application in toxicology and gene therapy screening for the modulation of epicardial interactions with myocardial and non-myocardial cells of the heart.

scholarly journals Heterogeneous Map Merging: State of the Art

Robotics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 74 ◽  
Author(s):  
Andersone
Keyword(s):  
State Of The Art ◽  
Physical Nature ◽  
Attractive Alternative ◽  
Environment Modeling ◽  
Mapping Algorithms ◽  
Main Research ◽  
Model Merging ◽  
Shared Information ◽  
Technical Specifications ◽  
Map Merging

Multi-robot mapping and environment modeling have several advantages that makeit an attractive alternative to the mapping with a single robot: faster exploration, higherfault tolerance, richer data due to different sensors being used by different systems. However,the environment modeling with several robotic systems operating in the same area causes problemsof higher-order—acquired knowledge fusion and synchronization over time, revealing the sameenvironment properties using different sensors with different technical specifications. While theexisting robot map and environment model merging techniques allow merging certain homogeneousmaps, the possibility to use sensors of different physical nature and different mapping algorithms islimited. The resulting maps from robots with different specifications are heterogeneous, and eventhough some research on how to merge fundamentally different maps exists, it is limited to specificapplications. This research reviews the state of the art in homogeneous and heterogeneous mapmerging and illustrates the main research challenges in the area. Six factors are identified thatinfluence the outcome of map merging: (1) robotic platform hardware configurations, (2) maprepresentation types, (3) mapping algorithms, (4) shared information between robots, (5) relativepositioning information, (6) resulting global maps.

A Feature-Based Evaluation of Model Merge Methods for e-Health Solutions

2020 ◽  
Vol 10 (10) ◽  
pp. 2473-2480
Author(s):  
Waqar Mehmood ◽  
Muhammad Shafiq ◽  
Muhammad Qaiser Saleem ◽  
Ali Saeed Alowayr ◽  
Waqar Aslam
Keyword(s):  
Software Configuration Management ◽  
Model Driven Engineering ◽  
Model Driven ◽  
Software Configuration ◽  
Model Merging ◽  
Development Lifecycle ◽  
Model Differencing ◽  
Software Development Lifecycle ◽  
Feature Based ◽  
Merging Techniques

Model-driven engineering (MDE) paradigm considers models as central artifacts for software development lifecycle during which models evolve. Developing an e-health solution using MDE poses challenges of model version control, model differencing and model merging, which requires appropriate software configuration management (SCM). In this paper we focus on model-driven merging, which refers to combining two or more versions of a model into a single consolidated version. SCM for model-driven merging leverages evolution of valid configurations, which is a highly desired behavior. Our investigation is based on the features that are required for model-driven SCM realization. Initially, we identify these features using which the existing model-driven merging techniques are evaluated. It is observed that though various proposals are made by academia and research community, a standard model-driven SCM solution that can cater to the needs of industry is still absent. This is in contrary to the situation of traditional SCM systems where standard solutions exist. We also present the usefulness of each technique along with the tradeoffs involved. Finally, guidelines are provided to select techniques appropriate for given circumstances.

Acoustic scene classification based on Mel spectrogram decomposition and model merging

2021 ◽  
Vol 182 ◽  
pp. 108258
Author(s):  
Tao Zhang ◽  
Guoqing Feng ◽  
Jinhua Liang ◽  
Tong An
Keyword(s):  
Scene Classification ◽  
Model Merging

Consistency Checking of Conceptual Models via Model Merging

2007 ◽  
Author(s):  
Mehrdad Sabetzadeh ◽  
Shiva Nejati ◽  
Sotirios Liaskos ◽  
Steve Easterbrook ◽  
Marsha Chechik
Keyword(s):  
Conceptual Models ◽  
Consistency Checking ◽  
Model Merging
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