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相关概念视频

Schemas01:42

Schemas

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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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Bullying02:04

Bullying

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A modern form of aggression is bullying. As you learn in your study of child development, socializing and playing with other children is beneficial for children’s psychological development. However, as you may have experienced as a child, not all play behavior has positive outcomes. Some children are aggressive and want to play roughly. Other children are selfish and do not want to share toys. One form of negative social interactions among children that has become a national concern is...
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Psychological and Sociocultural Causes of Schizophrenia01:29

Psychological and Sociocultural Causes of Schizophrenia

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Schizophrenia, a complex psychiatric disorder, has been historically misunderstood. Early psychological theories attributed its origins to childhood trauma and unresponsive parenting. However, contemporary research largely rejects these notions, favoring the vulnerability-stress hypothesis. This model proposes that individuals with a genetic predisposition to schizophrenia may develop the disorder following exposure to significant environmental stressors. Notably, studies on high-risk...
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Social Scripts02:10

Social Scripts

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People tend to know what behavior is expected of them in specific, familiar settings. A script is a person’s knowledge about the sequence of events expected in a specific setting (Schank & Abelson, 1977). Essentially, scripts are a particular kind of schema, one containing default values for the features within an event. In the restaurant example, the script's features include the props (e.g., tables, menu, food, and money), the roles to be played (e.g., customer and waiter),...
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Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

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Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
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Stress Prevention and Stress Management Techniques II01:23

Stress Prevention and Stress Management Techniques II

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Personality types, particularly Type A and Type B, significantly influence how individuals respond to stress. These personality distinctions are marked by varying levels of ambition, competitiveness, and coping styles, all of which shape an individual's resilience to stressors.
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Individuals with Type A personalities are often highly competitive and ambitious and operate with a strong sense of urgency. Commonly labeled as...
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相关实验视频

Updated: Jul 1, 2025

An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones
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智能手机键盘动态预测影响自杀想法.

Loran Knol1,2, Anisha Nagpal3, Imogen E Leaning4,5

  • 1Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands. loran.knol@donders.ru.nl.

NPJ digital medicine
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概括
此摘要是机器生成的。

数字表型提供实时心理健康见解,但面临着整合挑战. 本研究提出了一个使用时间独立组件分析 (ICA) 和混合效应模型的管道,以合并多种数据,将打字行为与门诊患者的无意识症联系起来.

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相关实验视频

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科学领域:

  • 数字健康数字健康
  • 计算精神病学是一种计算精神病学.
  • 心理健康评估 心理健康评估

背景情况:

  • 数字表型化使得不引人注目的,实时的心理健康监测成为可能.
  • 整合不同样本率的不同数据模式带来了重大挑战.
  • 现有的方法难以处理高维数据和时间同步.

研究的目的:

  • 开发一个整合的管道,用于融合数字表型化数据模式.
  • 为应对多式联网数据中高维度和不同采样频率的挑战.
  • 调查数字行为数据与心理健康症状之间的关系.

主要方法:

  • 开发了一个管道,将数据转换为一个共同的时间单位.
  • 将时间独立组件分析 (ICA) 应用于高维自报告数据.
  • 利用线性混合效果模型来融合自我报告和键盘动态数据.

主要成果:

  • 在自我报告数据上,ICA确定了与幸福感,无情感,易怒和社会功能障碍相关的组件.
  • 打字时手机运动减少与无情感增加相关 (β = -0.12,p = 0.00030).
  • 该管道成功集成了每日自我报告和BiAffect键盘动态.

结论:

  • 拟议的管道有效地整合了多式联运数字表型化数据.
  • 这种方法可以通过行为模式更深入地了解心理健康状况.
  • 该方法广泛适用于密集的纵向数字表型化数据集.