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Related Concept Videos

In-situ Hybridization02:31

In-situ Hybridization

In situ hybridization (ISH) is a technique used to detect and localize specific DNA or RNA molecules in cells, tissue, or tissue sections using a labeled probe. The technique was first used in 1969 for the investigation of nucleic acids. It is currently an essential tool in scientific research and clinical settings, especially for diagnostic purposes.
Types of probes and labels
A probe is a complementary strand of DNA or RNA that binds to corresponding nucleotide sequences in a cell. Many...
Classification of Systems-I01:26

Classification of Systems-I

Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Control Systems01:10

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
Modeling and Similitude01:12

Modeling and Similitude

Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
Transient and Steady-state Response01:24

Transient and Steady-state Response

In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state response.
Multimachine Stability01:25

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:

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Related Experiment Video

Updated: May 11, 2026

In Situ SIMS and IR Spectroscopy of Well-defined Surfaces Prepared by Soft Landing of Mass-selected Ions
10:22

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Published on: June 16, 2014

In situ simulation: identification of systems issues.

Jeanne-Marie Guise1, Jeanette Mladenovic

  • 1Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Oregon Health & Science University, mail code L466, 3181 SW Sam Jackson Pk Rd, Portland, OR 97239-3098, USA. guisej@ohsu.edu

Seminars in Perinatology
|June 1, 2013
PubMed
Summary

In situ simulation improves healthcare safety by training teams and enhancing systems. This approach, recommended by leading health organizations, helps identify and fix systemic issues that cause medical errors.

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Area of Science:

  • Healthcare Quality Improvement
  • Patient Safety
  • Medical Simulation

Background:

  • Medical errors stem from systemic, not individual, failures, as highlighted by the Institute of Medicine's 'To Err is Human' report.
  • Healthcare delivery involves complex systems, processes, and policies that can contribute to errors.
  • Patient safety is a critical concern in healthcare, necessitating robust interventions to reduce risks.

Purpose of the Study:

  • To discuss the application of in situ simulation for improving healthcare systems.
  • To highlight the role of in situ simulation in identifying and addressing systemic weaknesses.
  • To evaluate the potential of in situ simulation as a safe practice intervention.

Main Methods:

  • In situ simulation as a training and systems-evaluation tool.
  • Review of recommendations from the Institute of Medicine, Joint Commission, and Agency for Healthcare Research and Quality.
  • Analysis of how in situ simulation can enhance policies and technologies.

Main Results:

  • In situ simulation provides a unique platform for team training in a real clinical environment.
  • It facilitates the evaluation and improvement of healthcare systems, policies, and technologies.
  • Simulation is recognized as a key intervention for reducing medical errors and risks.

Conclusions:

  • In situ simulation is a valuable method for enhancing healthcare safety and reducing errors.
  • It supports the improvement of systems, processes, and conditions that influence healthcare delivery.
  • The integration of in situ simulation aligns with recommendations from major healthcare organizations for safer patient care.