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Muscles for Facial Expressions01:14

Muscles for Facial Expressions

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The craniofacial muscles are a collection of approximately 20 thin skeletal muscles situated beneath the skin of the face and scalp. These muscles, primarily responsible for the vast array of human facial expressions, originate from the bones or fibrous structures of the skull and extend outwards to connect with the skin. While most skeletal muscles in the body are enveloped in thick fascia, facial muscles generally have a more delicate fascial covering, with the buccinator muscle being a...
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Facial Feedback Hypothesis01:24

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Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Extraction: Advanced Methods00:56

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Reducing Line Loss01:18

Reducing Line Loss

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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
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Analysis of the effects of subcutaneous musculoaponeurotic system facial support on the nasolabial crease.

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Related Experiment Video

Updated: Jan 15, 2026

Single-stage Dynamic Reanimation of the Smile in Irreversible Facial Paralysis by Free Functional Muscle Transfer
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Single-stage Dynamic Reanimation of the Smile in Irreversible Facial Paralysis by Free Functional Muscle Transfer

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The Face Lift: An Algorithm for Producing Consistently Superior Results.

Michael J Sundine1

  • 1Sundine Center for Plastic Surgery 200 Newport Center Drive Suite 301 Newport Beach, CA 92660 michael@drsundine.com.

Plastic and Reconstructive Surgery
|October 14, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an algorithmic approach for facial rejuvenation, moving beyond specific techniques to tailor treatments. The high SMAS (Superficial Musculoaponeurotic System) procedure offers a long-lasting solution for comprehensive facial aging improvement.

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Area of Science:

  • Plastic Surgery
  • Cosmetic Surgery
  • Facial Rejuvenation Techniques

Background:

  • Facial and neck lifts are common cosmetic procedures with numerous variations.
  • Existing methods aim for optimal patient outcomes but lack a standardized, individualized approach.

Purpose of the Study:

  • To propose an algorithmic approach for facial rejuvenation tailored to individual patient needs.
  • To introduce a decision tree for optimizing patient outcomes in facial aging treatment.

Main Methods:

  • Development of a novel algorithmic approach for facial rejuvenation.
  • Preference for a high Superficial Musculoaponeurotic System (SMAS) procedure for its longevity and comprehensive results.

Main Results:

  • The proposed algorithm allows for tailored treatment plans, enhancing patient outcomes.
  • The high SMAS approach demonstrates proven longevity and comprehensive improvement capabilities.

Conclusions:

  • An algorithmic approach offers a superior, individualized method for facial rejuvenation compared to standardized recipes.
  • The decision tree provides a structured framework for optimizing results in treating facial aging.