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Related Concept Videos

Barriers to Effective Communication II01:21

Barriers to Effective Communication II

The barriers to effective communication also include cultural barriers, semantic barriers, gender barriers, and time constraints.
Cultural barriers:
Differences in values, beliefs, religion, knowledge, and tradition can significantly impact communication. Awareness of nonverbal cues is critical, especially when conversing with a patient from a different culture. What appears appropriate in one culture may be inappropriate in another.
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Barriers to Effective Communication I01:30

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In multi-pass transmembrane proteins, the polypeptide chain crosses the membrane more than once. The transmembrane polypeptide chain either forms an α-helix or β-strand structure. α-Helix containing multi-pass transmembrane proteins are ubiquitous, whereas β-strand containing ones are mainly found in gram-negative bacteria, mitochondria, and chloroplasts.
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Related Experiment Video

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Human Fear Conditioning Conducted in Full Immersion 3-Dimensional Virtual Reality
10:38

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Published on: August 9, 2010

MAC-bridging for multi-PHYs communication in BAN.

Sana Ullah1, Pervez Khan, Niamat Ullah

  • 1Graduate School of Telecommunication Engineering, Inha University, 253 Yonghyun-dong, Nam-gu, Incheon 402-751, South Korea. sanajcs@hotmail.com

Sensors (Basel, Switzerland)
|December 14, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel MAC layer bridging technique for Body Area Networks (BANs), enabling seamless communication across multiple physical layers (Multi-PHYs). The method enhances data transmission probability while minimizing power consumption and delay in wearable health monitoring systems.

Keywords:
Body Area NetworkMACWBANchannelsfrequency bandsmultiplephysicaltransparencywireless

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Area of Science:

  • Biomedical Engineering
  • Wireless Communications
  • Network Protocols

Background:

  • Body Area Networks (BANs) utilize low-power sensor nodes for ambulatory health monitoring.
  • BAN nodes often operate on different frequency bands or Multiple Physical Layers (Multi-PHYs).
  • Existing solutions connect nodes on different Multi-PHYs at the link layer, creating inefficiencies.

Purpose of the Study:

  • To introduce a MAC layer bridging protocol for logically connecting nodes on different Multi-PHYs within a BAN.
  • To analyze the stochastic behavior of Multi-PHYs interfaces using numerical approximations.
  • To evaluate the performance of the proposed bridging technique.

Main Methods:

  • A novel MAC layer bridging procedure is proposed to connect different PHYs within the same BAN.
  • Numerical approximations are used to analyze the stochastic behavior of bridges with Multi-PHYs interfaces.
  • Simulations are conducted to validate analytical results, focusing on MICS (PHY1) and ISM (PHY2) bands.

Main Results:

  • The proposed bridging method allows logical connection at the MAC layer, unlike link-layer bridging.
  • Performance analysis on PHY2 (receiving from PHY1) shows high transmission probability.
  • Results indicate low power consumption and tolerable delay with the deployment of multiple bridges.

Conclusions:

  • The developed MAC layer bridging protocol effectively enables Multi-PHYs communication in BANs.
  • The approach offers significant improvements in transmission reliability and efficiency for health monitoring.
  • This technique supports seamless data relay and filtering between different physical layers within a BAN.