Pareto-optimal cycles for power, efficiency and fluctuations of quantum heat engines using reinforcement learning

PA Erdman, A Rolandi, P Abiuso… - Physical Review …, 2023 - APS
The full optimization of a quantum heat engine requires operating at high power, high
efficiency, and high stability (ie, low power fluctuations). However, these three objectives …

Quantifying daily rhythms with non-negative matrix factorization applied to mobile phone data

T Aledavood, I Kivimäki, S Lehmann, J Saramäki - Scientific reports, 2022 - nature.com
Human activities follow daily, weekly, and seasonal rhythms. The emergence of these
rhythms is related to physiology and natural cycles as well as social constructs. The human …

How adolescents use text messaging through their high school years

SE Ehrenreich, KJ Beron, K Burnell… - Journal of Research …, 2020 - Wiley Online Library
Co‐construction theory suggests adolescents use digital communication to address
developmental challenges. For a sample of 214 ethnically diverse adolescents, this …

Social network differences of chronotypes identified from mobile phone data

T Aledavood, S Lehmann, J Saramäki - EPJ Data Science, 2018 - epjds.epj.org
Human activity follows an approximately 24-hour day-night cycle, but there is significant
individual variation in awake and sleep times. Individuals with circadian rhythms at the …

Digital parenting of emerging adults in the 21st century

M Jensen, AM Hussong, E Haston - Social Sciences, 2021 - mdpi.com
In emerging adulthood, when many young people are away from their families for the first
time, mobile phones become an important conduit for maintaining relationships with parents …

Digital daily cycles of individuals

T Aledavood, S Lehmann, J Saramäki - Frontiers in Physics, 2015 - frontiersin.org
Humans, like almost all animals, are phase-locked to the diurnal cycle. Most of us sleep at
night and are active through the day. Because we have evolved to function with this cycle …

Estimating tie strength in social networks using temporal communication data

J Ureña-Carrion, J Saramäki, M Kivelä - EPJ Data Science, 2020 - epjds.epj.org
Even though the concept of tie strength is central in social network analysis, it is difficult to
quantify how strong social ties are. One typical way of estimating tie strength in data-driven …

Tracking urban human activity from mobile phone calling patterns

D Monsivais, A Ghosh, K Bhattacharya… - PLoS computational …, 2017 - journals.plos.org
Timings of human activities are marked by circadian clocks which in turn are entrained to
different environmental signals. In an urban environment the presence of artificial lighting …

Seasonal and geographical impact on human resting periods

D Monsivais, K Bhattacharya, A Ghosh, RIM Dunbar… - Scientific reports, 2017 - nature.com
We study the influence of seasonally and geographically related daily dynamics of daylight
and ambient temperature on human resting or sleeping patterns using mobile phone data of …

The impact of the COVID-19 pandemic on daily rhythms

N Luong, I Barnett, T Aledavood - Journal of the American …, 2023 - academic.oup.com
Objective The COVID-19 pandemic has significantly impacted daily activity rhythms and life
routines with people adjusting to new work schedules, exercise routines, and other everyday …