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Related Concept Videos

Psychodynamic Perspectives on Personality01:27

Psychodynamic Perspectives on Personality

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The psychodynamic perspective in psychology asserts that most personality functions operate unconsciously, outside of awareness. This means that the motives and emotions driving behavior often remain hidden, automatically buried in the unconscious mind as a defense mechanism to shield us from psychological distress. According to this theory, the unconscious mind contains thoughts, memories, and emotions that are too disturbing to face directly.
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Social Cognitive Perspective on Personality01:30

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Social cognitive perspectives on personality emphasize the importance of conscious awareness, beliefs, expectations, and goals in shaping behavior. These perspectives incorporate behaviorist principles, such as learning through reinforcement and conditioning, but extend beyond them by highlighting human reasoning and planning. Unlike traditional behaviorist views, social cognitive theory focuses on how individuals reflect on their past experiences and plan for future outcomes by considering...
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Criticisms of the Evolutionary Perspective01:23

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In a study where individuals posing as strangers offered compliments and proposed casual sex to students, the responses differed significantly based on gender. Not a single woman accepted the proposal, while 70% of the men agreed. This outcome provides a useful scenario to explore through the lens of evolutionary psychology and social learning theory, highlighting the diverse perspectives on human sexual behaviors.
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The Behavioral Perspective on Personality01:19

The Behavioral Perspective on Personality

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Behaviorists view personality as primarily shaped by environmental reinforcements and consequences. According to this perspective, behavior is influenced by external stimuli, and individuals adjust their actions based on rewards and punishments. Over time, learning histories — accumulated patterns of reinforcement — play a significant role in shaping personality. Behaviors that lead to positive outcomes are reinforced, while those resulting in negative outcomes are diminished.
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Changes in Skin Color: Clinical Perspectives01:14

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The first thing a clinician sees is the skin, so the examination of the skin should be part of any thorough physical examination. Most skin disorders are relatively benign, but a few, including melanomas, can be fatal if untreated. A couple of the more noticeable disorders, albinism and vitiligo, affect the appearance of the skin and its accessory organs.
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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Visualizing Dengue Virus through Alexa Fluor Labeling
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Challenges in dengue research: A computational perspective.

José Lourenço1, Warren Tennant2, Nuno R Faria1

  • 1Department of Zoology University of Oxford Oxford UK.

Evolutionary Applications
|April 12, 2018
PubMed
Summary
This summary is machine-generated.

New computational methods can improve understanding and control of dengue virus, a widespread arbovirus impacting global health. These advanced approaches offer valuable research opportunities for future dengue interventions and vaccination strategies.

Keywords:
computationdengueepidemiologyevolutionmodels

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Area of Science:

  • * Computational biology and bioinformatics
  • * Epidemiology and public health
  • * Arbovirology and infectious disease modeling

Background:

  • * Dengue virus is a major global arbovirus with significant economic and social impact, particularly in South America and South-East Asia.
  • * Existing control interventions have been insufficient due to factors like urbanization, globalization, vector expansion, and policy challenges.
  • * Computational approaches have aided in understanding dengue's population dynamics but have not fully addressed critical biological aspects for control.

Purpose of the Study:

  • * To propose and discuss advanced computational avenues for dengue research.
  • * To link evolutionary, ecological, and epidemiological thinking within a multiscale framework.
  • * To expand on classic modeling assumptions for improved dengue control strategies.

Main Methods:

  • * Real-time computational analysis of genetic data.
  • * Phylodynamic modeling frameworks.
  • * Within-host model frameworks.
  • * GPU-accelerated computing.

Main Results:

  • * Emerging computational approaches offer new avenues for research in dengue virus.
  • * These methods can provide a deeper understanding of dengue's evolution and epidemiology.
  • * Advanced modeling can inform more robust intervention and vaccination strategies.

Conclusions:

  • * Novel computational strategies are crucial for addressing the complexities of dengue virus.
  • * Integrating evolutionary, ecological, and epidemiological data through advanced modeling is key.
  • * These approaches hold significant promise for future dengue control programs and public health initiatives.