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Social Foundations of Self II: The Generalized Other01:20

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According to George Herbert Mead, as children progress beyond the game stage, they develop a more comprehensive understanding of societal rules and norms. This cognitive and social development enables them to internalize the expectations of the broader community, refining their ability to regulate behavior.Consistent participation in organized activities is crucial in helping children recognize that their actions are not isolated but contribute to a more significant, interconnected group...
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Physiological Foundation of Stress01:24

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Stress triggers a coordinated physiological response involving the sympathetic nervous system (SNS) and the hypothalamic-pituitary-adrenal (HPA) axis. This dual activation ensures that the body is prepared for both immediate and prolonged stress management. The process begins with the perception of a stressor. This initial phase activates the SNS, leading to the rapid release of adrenaline (epinephrine) from the adrenal glands.
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Adrenaline triggers the...
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Theories play an essential role in organizing patient care. Theories refer to a proposed or followed belief, policy, or procedure that is the basis for action. Nursing theories are knowledge-based concepts that guide nurses' actions, influence nursing education and practice, and allow nurses to care for their patients.
Theories provide a perspective to assess patients' conditions and organize data and methods. They also assist in analyzing and interpreting information. They represent a...
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Social Foundations of Self I: Play and Game01:24

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The development of self in children is deeply rooted in social interactions, mainly through stages of play and structured games. These stages, outlined by sociologist George Herbert Mead, illustrate how children progressively learn to understand and adopt social roles, forming a cohesive sense of self.The Play Stage: Imitation and Simple Role-TakingIn the early years of childhood, the play stage is characterized by imitative behavior, where children engage in role-playing based on familiar...
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Social Foundations of Self III: Self-Evaluation01:30

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Self-evaluation is the process by which individuals assess their abilities, behaviors, and characteristics based on feedback from others. Charles H. Cooley observed that a person’s self-perception is primarily influenced by how others see and judge them. He suggested that individuals form their identities based on their interpretations of others' reactions. As a result, social interactions play a crucial role in shaping self-esteem and personal identity. These external evaluations often...
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Social Foundations of Self IV: Self in Digital Communication01:30

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Since the early 2000s, computer-mediated communication (CMC) has grown rapidly, playing a crucial role in self-development. A key distinction between CMC and real-life interactions is the lack of a physically present partner. This absence makes non-verbal cues such as facial expressions, body language, and paralinguistic signals unavailable in CMC platforms like email, instant messaging, or social media. The lack of these cues can create ambiguity and complicate how feedback is interpreted.The...
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Updated: Feb 13, 2026

A Novel Surgical Technique As a Foundation for In Vivo Partial Liver Engineering in Rat
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Modelos fundacionales para bioinformática

Ziyu Chen1,2, Lin Wei1,2, Ge Gao1,2

  • 1State Key Laboratory of Protein and Plant Gene Research School of Life Sciences Biomedical Pioneering Innovative Center (BIOPIC) & Beijing Advanced Innovation Center for Genomics (ICG) Center for Bioinformatics (CBI) Peking University Beijing China.

Quantitative biology (Beijing, China)
|February 12, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Los modelos fundacionales, como ChatGPT, están transformando la bioinformática. Esta perspectiva explora su uso directo, modelos de bioinformática adaptados y los desafíos futuros para los modelos de lenguaje grandes en el campo.

Palabras clave:
ChatGPTmodelos fundacionalesmodelos de lenguaje grandestransformer

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Área de la Ciencia:

  • Bioinformática
  • Inteligencia Artificial
  • Biología Computacional

Sus antecedentes:

  • Los modelos fundacionales basados en transformadores, ejemplificados por ChatGPT, han impactado significativamente en varios dominios científicos.
  • La integración de modelos de lenguaje grandes (LLM) en la bioinformática presenta tanto oportunidades como desafíos.

Objetivo del estudio:

  • Revisar las aplicaciones directas de los modelos fundacionales textuales en bioinformática.
  • Discutir el desarrollo y el potencial de los modelos fundacionales adaptados a la bioinformática para diversos tipos de datos.
  • Esbozar las direcciones futuras y los desafíos inherentes en el campo de los modelos fundacionales de bioinformática.

Principales métodos:

  • Revisión de la literatura actual sobre modelos fundacionales en bioinformática.
  • Análisis de modelos canónicos de lenguaje grande para tareas de bioinformática.
  • Exploración de modelos basados en transformadores adaptados para datos biológicos de secuencias y no secuencias.

Principales resultados:

  • La aplicación directa de los LLM en bioinformática requiere estrategias para maximizar la utilidad y mitigar las limitaciones.
  • Están surgiendo modelos fundacionales especializados para el análisis de datos biológicos de secuencias y no secuencias.
  • Existe un potencial significativo para modelos fundacionales avanzados de bioinformática, junto con desafíos notables.

Conclusiones:

  • Los modelos fundacionales ofrecen un potencial transformador para la investigación y las aplicaciones en bioinformática.
  • Los modelos adaptados y la aplicación cuidadosa de los LLM generales son cruciales para avanzar en el campo.
  • Abordar los desafíos inherentes será clave para desbloquear todo el potencial de los modelos fundacionales de bioinformática.