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Related Concept Videos

Controlled-Current Coulometry: Overview01:27

Controlled-Current Coulometry: Overview

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Controlled current coulometry, also known as amperostatic coulometry, is a technique used in electrochemical analysis to measure the quantity of a substance through the controlled passage of current. It involves the application of a constant current to an electrochemical cell containing the analyte of interest. As the current flows through the cell, the analyte undergoes a redox reaction at the electrode surface, resulting in a charge transfer. By monitoring the time required for a certain...
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Magnetic Flux01:18

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The magnetic flux measures the number of magnetic field lines passing through a given surface area. The SI unit for magnetic flux is the weber (Wb). Magnetic flux is a scalar quantity. It depends on three factors: the strength of the magnetic field B, the area through which the field lines pass, and the relative orientation of the field with the surface area.
Suppose a surface is divided into elements of area dA. For each element, the component of the magnetic field that is normal to the...
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Magnetic Field Of A Current Loop01:16

Magnetic Field Of A Current Loop

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Consider a circular loop with a radius a, that carries a current I. The magnetic field due to the current at an arbitrary point P along the axis of the loop can be calculated using the Biot-Savart law.
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Mesh Analysis with Current Sources01:10

Mesh Analysis with Current Sources

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Mesh analysis becomes simpler when analyzing circuits with current sources, whether independent or dependent. The presence of current sources reduces the number of equations required for analysis. Two cases illustrate this:
Current Source in One Mesh: The analysis process is straightforward when a current source is found in only one mesh within the circuit. Mesh currents are assigned as usual, with the mesh containing the current source excluded from the analysis. Kirchhoff's voltage law...
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Review and Preview01:10

Review and Preview

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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
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Review and Preview01:13

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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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[MERS-CoV: A current review].

Matthias Bundschuh1, Doris Klingelhoefer1

  • 1Zentrum für Gesundheitswissenschaften, Institut für Arbeitsmedizin, Sozialmedizin und Umweltmedizin, Goethe-Universität, Theodor-Stern-Kai 7 Haus 9b, 60590 Frankfurt am Mai, Deutschland.

Zentralblatt Fur Arbeitsmedizin, Arbeitsschutz Und Ergonomie
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Summary
This summary is machine-generated.

Middle East Respiratory Syndrome Coronavirus (MERS-CoV) causes severe respiratory illness, with most cases in Saudi Arabia. This emerging virus has a high mortality rate, necessitating travel and occupational health awareness.

Keywords:
MERS-CoVMiddle East Respiratory Syndromenovel coronavirus

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Area of Science:

  • Virology
  • Infectious Diseases
  • Public Health

Context:

  • Emerging infectious disease caused by a novel coronavirus.
  • First identified in the Arabian Peninsula in summer 2012.
  • Significant outbreaks primarily reported in Saudi Arabia, with imported cases internationally.

Purpose:

  • To provide a current overview of Middle East Respiratory Syndrome Coronavirus (MERS-CoV).
  • To highlight the clinical presentation and severity of MERS-CoV infections.
  • To emphasize the importance of MERS-CoV in travel and occupational medicine.

Summary:

  • MERS-CoV is a severe respiratory illness characterized by flu-like symptoms progressing to pneumonia and acute respiratory distress syndrome.
  • The disease has a significant mortality rate, estimated at 55%.
  • Cases have been reported in Saudi Arabia and imported to other countries, including Germany.

Impact:

  • Informs travel medicine recommendations regarding MERS-CoV.
  • Raises awareness for occupational health professionals dealing with potential MERS-CoV exposure.
  • Contributes to the understanding and management of emerging viral threats.