The Spirit Is Willing: Nonlinearity, Bifurcations, and Mental Control

In recent years there has been considerable interest in the construction of nonlinear models of the dynamics of human behavior. In this exploratory article we argue that attempts at controlling problematic thoughts, emotions, or behaviors can lead to nonlinearity in mental/behavioral dynamics. We illustrate our model by fitting threshold autoregression models to self-recorded time series of the daily highs in intensity of anxiety and obsessive ruminations, kept by an individual in therapy for this problem. In our discussion, we raise the possibility that bifurcations that occur in this nonlinear model may offer insight into mental control paradoxes.     

Speaker Recognition Using Constrained Convolutional Neural Networks in Emotional Speech

Speaker recognition is an important classification task, which can be solved using several approaches. Although building a speaker recognition model on a closed set of speakers under neutral speaking conditions is a well-researched task and there are solutions that provide excellent performance, the classification accuracy of developed models significantly decreases when applying them to emotional speech or in the presence of interference. Furthermore, deep models may require a large number of parameters, so constrained solutions are desirable in order to implement them on edge devices in the Internet of Things systems for real-time detection. The aim of this paper is to propose a simple and constrained convolutional neural network for speaker recognition tasks and to examine its robustness for recognition in emotional speech conditions. We examine three quantization methods for developing a constrained network: floating-point eight format, ternary scalar quantization, and binary scalar quantization. The results are demonstrated on the recently recorded SEAC dataset.     

Exploring students' mathematical performance,metacognitive experiences and skills in relation to fundamental theorem of calculus

Several studies have explored students’ understanding of the relationships between definite integrals and areas under curve(s). So far, however, there has been less attention to students’ understanding of the Fundamental Theorem of Calculus (FTC). In addition, students’ metacognitive experiences and skills whilst solving FTC questions have not previously been explored. This paper explored students’ mathematical performance, metacognitive experiences and metacognitive skills in relation to FTC questions by interviewing nine university and eight Year 13 students. The findings show that several students had difficulty solving questions related to the FTC and that students’ metacognitive experiences and skills could be further developed.     

Aspects of Rich Accessibility User Experiences

We present an approach to providing broad-based accessibility to graphical applications by employing the capabilities of the Eclipse platform and aspect-oriented programming (AOP) in a way that leverages the strengths of each. We first describe the Eclipse platform and the variety of frameworks that can be useful to the effort. We also present the advantages of aspect-oriented programming and contrast aspect-oriented programming with object-oriented programming (OOP). Then, we discuss how to use the Eclipse frameworks and AOP in the design of accessible Eclipse-based applications and share some situations of when to leverage these frameworks and when we do not from the perspective of robustness and efficiency.     

基于大脑情感学习模型和自适应遗传算法的混沌时间序列预测

针对传统神经网络预测精度不高、收敛速度慢的问题,提出一种基于大脑情感学习模型和自适应遗传算法的混沌时间序列预测方法.大脑情感学习模型模拟了哺乳动物大脑中杏仁体和眶额皮质之间的情感学习机制,具有计算复杂度低、运算速度快的特点,因此可以大大提高混沌预测的快速性.为了进一步提高大脑情感学习模型的预测精度,采用自适应遗传算法优化其参数,将待优化的权值与阈值分布在染色体基因序列上,用适应度函数选出最佳参数,从而增强了模型的逼近能力.基于Lorenz混沌时间序列和实际地磁Dst指数序列的预测结果表明,本文方法较其他传统方法在预测精度、运算速度和稳定性上均具有明显优势.     

情绪影响下选时博弈模型及其最优策略

依据Quiggin的秩依期望效用理论研究经典选时博弈问题。通过引入可以刻画局中人在博弈中情绪状态的非线性决策权重函数,将RDEU有限策略博弈扩展到连续博弈,构建了RDEU选时博弈模型。基于Riccati微分方程的解法,求出博弈模型中局中人的最优策略。最后,通过数值仿真,分析了不同情绪状态对局中人博弈决策行为的影响。研究发现,情绪对混合策略意义下的局中人最优策略有着显著的影响,在乐观情绪状态下,局中人对混合策略极易产生自信和较高的信任倾向,表现出"风险爱好者"行为;在悲观情绪状态下,局中人往往对混合策略缺乏自信和信任,表现出“风险厌恶者”行为。     

Relationships between emotional dispositions and mathematics achievement moderated by instructional practices: analysis of TIMSS 2015

ABSTRACT

This research is a secondary analysis with Korean students’ data collected in the TIMSS 2015 to describe the moderation effects of instructional practices on the relationships between students’ emotional dispositions toward mathematics and mathematics achievement. From the TIMSS 2015 database, we collected mathematics achievement scores, a student-level contextual scale for students’ emotional disposition, and teacher-level contextual scales representing teachers’ instructional practices. We applied hierarchical linear modelling to construct multilevel models. The findings showed that the achievement gap between emotional dispositions – like and dislike – became smaller when teachers more frequently implemented certain instructional practices like asking students to complete challenging exercises, decide their own problem-solving procedures, and express their ideas in class. Students who disliked mathematics were likely to have higher scores as their teachers implemented each of those practices more frequently. Findings provide important implications to teachers regarding: It is important to encourage students to reason through instructional practices like asking them to decide their own problem-solving procedures and to solve challenging problems.     

企业员工的情绪智力对其工作绩效的影响

采用情绪智力三维结构和工作绩效四因素模型考察二者之间的关系,研究结果发现企业员工的情绪智力与其工作绩效整体及工作绩效的各个维度都有显著性的相关关系。工作绩效的评定方式调节情绪智力与工作绩效的关系.个体对外界消极情绪的调节与控制能力对自我评定的工作绩效产生更为显著性的影响,而对自我积极情绪信息的感知与体验和对环境积极情绪的表达与评价能力预测主管评定的工作绩效.情绪智力对员工的适应绩效和努力绩效的影响大于对任务绩效的影响,工作绩效的不同成分受到情绪智力不同成分的影响。     

基于情绪宣泄效用的邻避冲突演化博弈

近年来,日益增多的邻避冲突事件使地方政府在社会治理方面陷入了一定的困境。邻避冲突的产生原因不仅仅在于利益和风险的分配不均,还在于社区民众对地方政府在决策及沟通方面存在着不满情绪。社区民众不满情绪的程度在邻避冲突进程中随着政府行为的不同而变化,随着不满情绪程度的上升,采取更激烈的抗议手段可以给民众带来更大的情绪宣泄效用。因此情绪宣泄效用可以从动机上对“中国式”邻避冲突的螺旋式演进态势提供有效的解释。本文构建了地方政府与社区民众的演化博弈模型,分析了演化均衡解及相关稳定性,对纯策略均衡解进行了数值模拟。结合博弈模型理论结果对杭州中泰垃圾焚烧项目邻避冲突事件进行了分析,最后对邻避设施规划建设给出了相关建议。     

考虑公司信息披露情绪的欧式脆弱期权定价

从公司信息披露的角度来看,定量数据直观地反映了公司的经营和财务状况,而描述性的非结构文本信息是对定量数据的有效补充。本文从公司年报中挖掘信用违约文本信息,构建语调变量情绪指标,以调控脆弱期权的违约临界值,改进经典的Klein欧式脆弱期权定价模型。研究表明:随着语调变量指标的增大,欧式看涨看跌期权价格呈递减趋势,且指标越接近1,期权价格递减速度越快,说明期权价格对负向情绪更加敏感,符合金融市场实际情况。此外,应用研究发现不考虑情绪指标的Klein模型倾向于低估期权价格,考虑公司信息披露情绪的脆弱期权定价模型能更准确地分析财务困境对信用风险的影响,结果更贴近实际情况。