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Related Concept Videos

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
192
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

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A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
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Distribution Reliability and Automation01:25

Distribution Reliability and Automation

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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

397
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
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Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

195
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
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Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

278
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
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Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
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A model-driven framework for data-driven applications in serverless cloud computing.

Fatima Samea1, Farooque Azam1, Muhammad Rashid2

  • 1Department of Computer and Software Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan.

Plos One
|August 29, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces UMLPDA (Unified Modeling Language Profile for Data-driven Applications) to simplify developing data-driven applications in serverless cloud computing. The framework automates frontend and backend code generation, reducing development effort and errors.

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Area of Science:

  • Cloud Computing
  • Software Engineering
  • Data Management

Background:

  • Serverless cloud computing allows developers to focus on applications while providers manage resources.
  • Data-driven applications in serverless environments require consistent user experiences across connections.
  • GraphQL is popular for data-driven applications but complex low-level implementations increase development effort and errors.

Purpose of the Study:

  • To simplify the development of data-driven applications in serverless cloud computing environments.
  • To address complexities in real-time distributed data communication and synchronization.
  • To provide a higher-level abstraction for modeling both frontend and backend requirements.

Main Methods:

  • Introduced UMLPDA (Unified Modeling Language Profile for Data-driven Applications) based on UML-Model-driven Architectures.
  • Developed a modeling approach to resolve data communication and synchronization complexities.
  • Created an open-source Model-to-Text transformation engine to auto-generate Angular2 frontend and GraphQL backend code.

Main Results:

  • The proposed UMLPDA framework simplifies the development of data-driven applications.
  • Automated code generation reduces development effort and potential errors.
  • Validation through three case studies on Amazon Web Services confirmed the framework's effectiveness.

Conclusions:

  • UMLPDA offers a higher abstraction level for developing complex data-driven applications in serverless environments.
  • The automated transformation engine successfully generates functional frontend and backend code.
  • The framework significantly enhances the simplicity and efficiency of building data-driven applications.