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Related Concept Videos

Random and Systematic Errors01:20

Random and Systematic Errors

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Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
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Systematic Sampling Method01:17

Systematic Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
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Propagation of Uncertainty from Systematic Error01:10

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The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
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Systematic Error: Methodological and Sampling Errors01:15

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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
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Chemical Equilibria: Systematic Approach to Equilibrium Calculations01:21

Chemical Equilibria: Systematic Approach to Equilibrium Calculations

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Equilibrium calculations for systems involving multiple equilibria are often complex. For example, to calculate the solubility of a sparingly soluble salt in an aqueous solution in the presence of a common ion, one must consider all the equilibria in this solution. Calculations for these systems can be complicated and tedious, so a systematic approach with a series of steps is often helpful. The process is detailed below.
The first step is to identify all the chemical reactions involved, The...
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Cerebral Hemispheres01:05

Cerebral Hemispheres

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The human brain, a complex organ, is functionally divided into two cerebral hemispheres—left and right. These hemispheres are interconnected by a structure of paramount importance, the corpus callosum. This substantial bundle of neural fibers is not just a bridge between the hemispheres but a crucial element for the brain's comprehensive functioning. It enables efficient communication between the two hemispheres, allowing each side of the brain to control and receive sensory and motor...
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Related Experiment Video

Updated: Jan 26, 2026

Analysis of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage with High Frequency Transcranial Duplex Ultrasound
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Hemorrhage from cerebral cavernous malformations: a systematic pooled analysis.

Bradley A Gross1, Rose Du2

  • 1Division of Neurological Surgery, Barrow Neurological Institute, Phoenix, Arizona; and.

Journal of Neurosurgery
|May 21, 2016
PubMed
Summary
This summary is machine-generated.

Prior hemorrhage significantly increases the risk of future bleeding in cavernous malformations (CMs). Other factors like age, sex, and location do not appear to be significant risk factors for CM hemorrhage.

Keywords:
CM = cavernous malformationDVA = developmental venous anomalybleedcavernomacavernous hemangiomacavernous malformationepidemiologyhemorrhagenatural historyvascular disorders

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Area of Science:

  • Neurology
  • Neurosurgery
  • Vascular Malformations

Background:

  • Cavernous malformations (CMs) are vascular anomalies with a risk of hemorrhage.
  • Understanding the hemorrhage rate and associated risk factors is crucial for patient management.

Purpose of the Study:

  • To determine the overall annual hemorrhage rate for cavernous malformations.
  • To identify significant risk factors associated with CM hemorrhage.

Main Methods:

  • A systematic, pooled analysis of English-language studies from the PubMed database was conducted.
  • Included studies focused on the natural history, annual hemorrhage rates, and risk factors of CMs.
  • Data extraction included demographic data, hemorrhage rates, and risk factors.

Main Results:

  • The annual hemorrhage rate for CMs was 2.5% per patient-year.
  • Prior CM hemorrhage was identified as a significant risk factor (HR 3.73, p = 0.02).
  • Younger age, female sex, deep location, size, multiplicity, and associated developmental venous anomalies (DVAs) were not significant risk factors.

Conclusions:

  • Prior hemorrhage is a significant predictor of future bleeding in cavernous malformations.
  • Factors such as age, sex, CM location, size, multiplicity, and associated DVAs were not found to be significant risk factors.
  • Future research should focus on prospective rates of seizure and non-hemorrhagic neurological deficits alongside hemorrhage rates.