Aristotle Said “Happiness is a State of Activity” — Predicting Mood Through Body Sensing with Smartwatches

We measure and predict states of Activation and Happiness using a body sensing application connected to smartwatches. Through the sensors of commercially available smartwatches we collect individual mood states and correlate them with body sensing data such as acceleration, heart rate, light level data, and location, through the GPS sensor built into the smartphone connected to the smartwatch. We polled users on the smartwatch for seven weeks four times per day asking for their mood state. We found that both Happiness and Activation are negatively correlated with heart beats and with the levels of light. People tend to be happier when they are moving more intensely and are feeling less activated during weekends. We also found that people with a lower Conscientiousness and Neuroticism and higher Agreeableness tend to be happy more frequently. In addition, more Activation can be predicted by lower Openness to experience and higher Agreeableness and Conscientiousness. Lastly, we find that tracking people’s geographical coordinates might play an important role in predicting Happiness and Activation. The methodology we propose is a first step towards building an automated mood tracking system, to be used for better teamwork and in combination with social network analysis studies.     

The modernity of Dedekind’s anticipations contained in What are numbers and what are they good for?

Archive for History of Exact Sciences - We show that Dedekind, in his proof of the principle of definition by mathematical recursion, used implicitly both the concept of an inductive cone from an...     

Long-term increases in clutch size in common snapping turtles (Chelydra serpentina) and diamondback terrapins (Malaclemys terrapin)

Clutch size (CS) is a well-studied life history characteristic, and optimal egg size theory predicts that CS should correlate positively with reproductive investment. Turtles are good subjects for studies of reproductive strategies because few turtle species exhibit parental care; therefore quantifying their short-term reproductive investment is mostly limited to measuring egg size and number. Clutch size is usually reported as an average value for each turtle population, and where CS variation is noted, it is usually attributable to variation in adult body size. In two long-term studies of ecologically dissimilar species we detected a dramatic increase in CS in a common snapping turtle (Chelydra serpentina) population and in a diamondback terrapin (Malaclemys terrapin) population. It is unknown whether these changes are due to either variation in adult body size or resource availability; but the temporal patterns we observed have apparently never been reported previously. These trends remain unexplained and should be explored further.     

基于小波分析对地面电场信号的去噪及闪电信息提取

基于小波分析方法,通过对7种小波函数在误差控制和阈值方法选取上的对比,参考信噪比及均方误差等计算结果,选取了较为合理的Rigrsure阈值分析方法和sym5小波函数作为地面大气电场信号的去噪处理方法.该方法不仅能够较好地对电场信号波形平滑处理,降低电场波形中噪声信号的叠加度,还可保留闪电引起的电场的快速变化.在此基础上,利用差分计算方法实现了对闪电信号的自动识别,引入了总闪电频数误差及分时段闪电频数与人工分析结果的相关系数等2个参考量来选取差分计算方法中电场差分阈值,通过该方法可以实现闪电频数和极性等有关信息的提取.     

普通话在线游戏学习系统的研究与应用

针对希望进一步掌握普通话口语学习的外国学习者,该研究提出了一种普通话游戏学习系统.系统的学习模式结合了计算机技术和语言学研究成果,打破了传统的教学模式的限制,对学习者进行实时评测,提供学习报告与口语学习的最终评定结果.结果表明,该系统能够较为有效地辅助外国学习者的普通话口语学习.     

一类血吸虫病模型Hopf分支的频域分析

运用频域上的分支理论研究了一类血吸虫病传播模型的Hopf分支动态，严格证明了Hopf分支的存在性，运用四阶调和平衡方法推导出由Hopf分支产生的周期轨的近似解析表达式、频率和振幅。研究结果表明，被感染的钉螺由潜伏期进入易传染期的几率δ对人体内寄生虫数量有重要影响。     

科技创新获利能力形成机理研究

科技创新已成为影响企业获利和社会经济增长的关键性因素。在对科技创新获利能力的形成动因厦路径进行详细分析的基础上，对其形成过程中的规律及效果进行了深入的研究与评价．并运用指标体系法构建起科技创新获利能力形成评价体系．对科技创新获利能力的增强提供了理论依据与指导．具有一定的前瞻性和可行性。