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Related Concept Videos

Confirmation Biases01:31

Confirmation Biases

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The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
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Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
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Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
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During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
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Correspondence bias, also referred to as the fundamental attribution error, describes the tendency to attribute another person’s behavior to internal characteristics rather than situational influences. This cognitive bias leads individuals to overlook external factors that may be influencing actions, thereby fostering potentially inaccurate assessments of others’ intentions and dispositions.Empirical Evidence for Correspondence BiasResearch has consistently demonstrated the...
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Self-serving bias is a cognitive phenomenon in which individuals attribute positive outcomes to internal factors such as their abilities, intelligence, or effort while attributing negative outcomes to external circumstances. This cognitive distortion helps maintain self-esteem but can also impede objective self-assessment.Theoretical Explanations of Self-Serving BiasTwo primary theories explain the self-serving bias: the cognitive explanation and the motivational explanation.The cognitive...
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Bias-scanning based tunable LSPR sensor.

Lingling Ran1, Yifei Tao, Kai Guo

  • 1College of Electronics Engineering, Heilongjiang University, Harbin, 150080, China.

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|January 9, 2018
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Summary
This summary is machine-generated.

This study details tunable localized surface plasmon resonance (LSPR) sensors for environmental refractive index sensing. Bias-scanning enables effective single-wavelength measurements, with performance adjustable via nanoparticle manipulation.

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Area of Science:

  • Plasmonics
  • Nanotechnology
  • Environmental Sensing

Background:

  • Localized surface plasmon resonance (LSPR) sensors are crucial for detecting environmental changes.
  • Traditional LSPR sensors often require complex spectral scanning.
  • Developing simpler, tunable LSPR sensing methods is an ongoing challenge.

Purpose of the Study:

  • To theoretically and numerically investigate bias-scanning based tunable LSPR sensors.
  • To explore the sensor's response to environmental refractive index changes.
  • To demonstrate the adjustability of sensor performance through nanoscale design.

Main Methods:

  • Theoretical modeling of LSPR sensor principles.
  • Numerical simulations of sensor characteristics.
  • Analysis of scattering-bias spectral shifts with varying refractive indices.
  • Investigation of nanoparticle size and shape effects on sensing performance.

Main Results:

  • LSPR sensors exhibit linear negative shifts in scattering-bias spectral position with increasing refractive index.
  • Bias-scanning allows for effective single-wavelength environmental refractive index sensing.
  • Nanoscale manipulation of metal nanoparticles tunes sensor performance.

Conclusions:

  • Bias-scanning based tunable LSPR sensors offer an effective method for environmental refractive index detection.
  • These sensors can simplify detection by replacing spectrum scanning with bias scanning.
  • The findings may advance the development of novel electrochemical sensors.