Lattices of Finitely Alternative Normal Tense Logics

Studia Logica - A finitely alternative normal tense logic $$T_{n,m}$$ is a normal tense logic characterized by frames in which every point has at most n future alternatives and m past alternatives....     

Splitting the affective atom: Divergence of valence and approach-avoidance motivation during a dynamic emotional experience

Current Psychology - Valence and approach-avoidance motivation are two distinct but closely related components of affect. However, little is known about how these two processes evolve and covary in...     

Philosophy of medicine in 2021

Theoretical Medicine and Bioethics -     

Teachers with a growth mindset are motivated and engaged: the relationships among mindsets,motivation, and engagement in teaching

Social Psychology of Education - Past research on mindsets has mostly focused on studying students’ beliefs about the malleability of their intelligence or teachers’ beliefs about the...     

情感计算技术如何推动犯罪风险评估工具的发展？

摘 要 随着近年来人工智能深度学习技术的发展,情感计算与人格计算技术日渐成熟,在许多实际应用场景中取得了良好的表现,当前人工智能情感计算技术应用于犯罪风险评估领域,能够有效解决目前主流的风险评估工具难以解决的个体内差异性的预测因子评估问题以及被测评参与者因社会赞许性而导致结果失真的问题。本文在详细阐述目前主流评估工具的局限性基础上,详细阐述了以情感计算技术为支撑的动态风险评估工具的设计思路、目前已有的技术方案以及设计细节的理论依据,在此基础上最后提出以人工智能技术为支撑的新型评估工具的未来发展方向。     

从端粒和端粒酶探析冥想对压力的缓解作用

冥想是一种维持自我注意的身心调节技术,是缓解因压力所致的抑郁、焦虑等消极情绪的有效方法。端粒是维持染色体稳定和完整的DNA片段,大量有关冥想对端粒及端粒酶活性影响的研究阐明,通常情况下压力人群经过冥想训练能提高端粒长度并增加端粒酶活性,这种改变与压力缓解密切相关。这一积极效果主要得益于皮质醇和炎症等生物因素及心理和环境等非生物因素。未来可以通过对比不同冥想练习的效果、增加追踪研究、多学科联合及扩大样本等找到最有利于提高端粒长度和端粒酶活性的冥想方式。     

Contextual Influence of Risk and Protective Factors on Chinese Adolescent Psychological Well-Being,Delinquent Behavior and Academic Performance: the Role of Family and Friends

Applied Research in Quality of Life - Research shows that family and friends are influential on adolescents’ development. However, little is known about the joint influence of these two...