Learning Urban Nightlife Routines from Mobile Data

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In the context of smart cities, ensuring road safety is crucial due to increasing urbanization and the interconnected nature of contemporary urban environments. Leveraging innovative technologies is essential to mitigate risks and create safer communities. ...

Background & Aims: Current therapies for the treatment of alcohol-related liver disease (ALD) have proven largely ineffective. Patients relapse and the disease progresses even after liver transplantation. Altered epigenetic mechanisms are characteristic of ...

In this dissertation, I develop theory and evidence to argue that new technologies are central to how firms organize to create and capture value. I use computational methods such as reinforcement learning and probabilistic topic modeling to investigate thr ...

Background Few studies have examined the interactions between individual socioeconomic position and neighbourhood deprivation and the findings so far are heterogeneous. Using a large sample of diverse cohorts, we investigated the interaction effect of neig ...

Oxidative stress can contribute to the development of diseases, and may originate from exposures to toxicants commonly found in air pollution and cigarette smoke such as polycyclic aromatic hydrocarbons (PAHs) and volatile organic compounds (VOCs). Yet, as ...

Alcohol use disorder (AUD) is characterized by impairments in decision-making that can exist as stable traits or transient states. Cognitive inflexibility reflects an inability to update information that guides decision-making and is thought to contribute ...

Music analysis, in particular harmonic analysis, is concerned with the way pitches are organized in pieces of music, and a range of empirical applications have been developed, for example, for chord recognition or key finding. Naturally, these approaches r ...

Introduction Most evidence on associations between alcohol use behaviors and the characteristics of its social and physical context is based on self-reports from study participants and, thus, only account for their subjective impressions of the situation. ...

The development of radical-based remote C(sp3)-H functionalizations of redox-active alcohol derivatives, oxidative cycloaddition and rearrangement transformations under visible light photocatalysis constitute the basis of this thesis. The first chapter des ...

With the increasing rate of urbanization, understanding food and beverage consumption, including alcohol drinking behaviour with its consequences, is relevant in such a megacity in the future. Especially, investigation of alcohol drinking is necessary for ...

Heavy alcohol consumption can lead to many severe consequences. In this paper, we study the phenomenon of heavy drinking at night (4+ drinks for women or 5+ for men on a single evening), using a smartphone sensing dataset depicting about nightlife and drin ...

This paper explores home as a space of youth nightlife and drinking through a feminist lens. It draws on feminist geographical scholarship on home and 40 semi-structured interviews with young people aged 16–25 in Switzerland in the context of a larger inte ...

This paper i) compares parametric and semi-parametric representations of unobserved heterogeneity in hierarchical Bayesian logit models and ii) applies these methods to infer distributions of willingness to pay for features of shared automated vehicle (SAV ...

Introduction and Aims Drinks consumed in real life are diverse, in terms of beverage type, container size and alcohol by volume. To date, most ecological momentary assessment studies have assessed drinking amounts with 'standard' drinks, although their eve ...

Background The amount of alcohol consumed during an occasion can be influenced by physical and social attributes of the setting, characteristics and state of individuals, and the interactions of these components. This systematic review identifies and descr ...

Small variance asymptotics is emerging as a useful technique for inference in large scale Bayesian non-parametric mixture models. This paper analyses the online learning of robot manipulation tasks with Bayesian non-parametric mixture models under small va ...

Tonality has been the cornerstone of Western music-theoretical discourse for centuries. This study addresses the subject, using traditional music analysis, data-driven corpus methods, and computational models, concentrating on historical changes of tonalit ...

Alcohol consumption is the number one risk factor for morbidity and mortality among young people. In late adolescence and early adulthood, excessive drinking and intoxication are more common than in any other life period, increasing the risk of adverse phy ...

Background and Aims: The threshold of 4+/5+ drinks per occasion has been used for decades in alcohol research to distinguish between non risky versus risky episodic drinking. However, no study has assessed the validity of this threshold using event level d ...

Objective: Young people often drink more alcohol than intended over the course of a night. This study investigates individual and night-specific factors predicting young people’s acknowledgment of having drunk more than intended. Method: Using the Youth@Ni ...

Learning Urban Nightlife Routines from Mobile Data

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Artificial intelligence of things for smart cities: advanced solutions for enhancing transportation safety

Anti-miR-873-5p improves alcohol-related liver disease by enhancing hepatic deacetylation via SIRT1

Technology Strategy in Dynamic Environments: A Computational Analysis of the Automation of Routines, the Organization of AI, and the Evaluation of Technology Risk

Association of neighbourhood disadvantage and individual socioeconomic position with all-cause mortality: a longitudinal multicohort analysis

Associations between urinary biomarkers of oxidative stress and biomarkers of tobacco smoke exposure in smokers

Impaired cognitive flexibility and heightened urgency are associated with increased alcohol consumption in rodent models of excessive drinking

Discovering Tonal Profiles with Latent Dirichlet Allocation

Ten seconds of my nights: Exploring methods to measure brightness, loudness and attendance and their associations with alcohol use from video clips

Development of remote C-H bond functionalization of redox-active alcohol derivatives and oxidative transformations under photoredox catalysis

Understanding Eating And Drinking In Context From Crowdsourced Data

Understanding Heavy Drinking at Night through Smartphone Sensing and Active Human Engagement

Youth nightlife at home: towards a feminist conceptualisation of home

A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles

Shooting shots: Estimating alcoholic drink sizes in real life using event-level reports and annotations of close-up pictures

The contexts of heavy drinking: A systematic review of the combinations of context-related factors associated with heavy drinking occasions

Small Variance Asymptotics for Non-Parametric Online Robot Learning

Transitions of Tonality: A Model-Based Corpus Study

DrinkSense: Characterizing Youth Drinking Behavior using Smartphones

After how many drinks does someone experience acute consequences-determining thresholds for binge drinking based on two event-level studies: Optimal thresholds for binge drinking

What Reminds Young People That They Drank More Than Intended on Weekend Nights: An Event-Level Study