Flow Moods: Recommending Music by Moods on Deezer

The music streaming service Deezer extensively relies on its Flow algorithm, which generates personalized radio-style playlists of songs, to help users discover musical content. Nonetheless, despite promising results over the past years, Flow used to ignore the moods of users when providing recommendations. In this paper, we present Flow Moods, an improved version of Flow that addresses this limitation. Flow Moods leverages collaborative filtering, audio content analysis, and mood annotations from professional music curators to generate personalized mood-specific playlists at scale. We detail the motivations, the development, and the deployment of this system on Deezer. Since its release in 2021, Flow Moods has been recommending music by moods to millions of users every day.Comment: 16th ACM Conference on Recommender Systems (RecSys 2022) - Industry pape

Early maturation processes in coal. Part 1: Pyrolysis mass balances and structural evolution of coalified wood from the Morwell Brown Coal seam

In this work, we develop a theoretical approach to evaluate maturation process of kerogen-like material, involving molecular dynamic reactive modeling with a reactive force field to simulate the thermal stress. The Morwell coal has been selected to study the thermal evolution of terrestrial organic matter. To achieve this, a structural model is first constructed based on models from the literature and analytical characterization of our samples by modern 1-and 2-D NMR, FTIR, and elemental analysis. Then, artificial maturation of the Morwell coal is performed at low conversions in order to obtain, quantitative and qualitative, detailed evidences of structural evolution of the kerogen upon maturation. The observed chemical changes are a defunctionalization of the carboxyl, carbonyl and methoxy functional groups coupling with an increase of cross linking in the residual mature kerogen. Gaseous and liquids hydrocarbons, essentially CH4, C4H8 and C14+ liquid hydrocarbons, are generated in low amount, merely by cleavage of the lignin side chain

Endogenous value of time in freight transport models, In: Applied transport economics - A management and policy perspective

The value of time, in freight transport, comes from how supply chains work. This chapter discusses this matter and some implications including the endogenous nature of the value of time

Amélioration continue de la gestion des médicaments de la chaîne du froid à l'hôpital et à l'officine

CAEN-BU Médecine pharmacie (141182102) / SudocLYON1-BU Santé (693882101) / SudocSudocFranceF

Social support network and continuity of care: an ego-network study of psychiatric service users

Purpose: For severely mentally ill (SMI) users, continuity of care requires consistency between the supports provided by the members of their social support network. However, we know little about their network cohesion and its association with continuity of care. We set out to investigate this association and hypothesised that it would depend on the severity of the user’s situation and on his/her living arrangements. Methods: We conducted face-to-face interviews with 380 SMI users recruited in outpatient and inpatient mental health services in three areas in Belgium. Data regarding users’ social networks were collected using an ego-network mapping technique and analysed with social network analysis. The cohesion indicators were density (frequency of connections between network members), centralisation (having a small number of central people), and egobetweenness (the user’s centrality in his/her own network). Participants’ perception of continuity of care was measured by the Alberta Continuity of Services Scale. Results: Results show that cohesion indicators were associated with continuity of care only for users with high-severity problems, regardless of their living arrangements. The numbers of network members, professionals, and services in the network were all negatively associated with continuity of care for all the users. Conclusions: Satisfactory continuity of care requires fewer professionals or services in a user’s network and a dense network for users with the most severe problems. This implies that those providing care must not only be able to increase cohesion within a network, but also to adapt their interventions to support the transition to a different, individualised network structure when severity decreases

The structure of social support: a multilevel analysis of the personal networks of people with severe mental disorders

Background: For psychiatric service users suffering from severe mental disorders, the social support provided by personal social networks is essential for living a meaningful life within the community. However, the importance of the support received depend on the relations between the providers of social support. Yet this hasn’t been addressed in the literature so far for people with severe mental disorders. This article seeks to investigate how characteristics of service users with severe mental disorders, their social contacts, and the pattern of relationships between those contacts influence the distribution and provision of social support to people with severe mental disorders. Methods: We collected personal network data relating to 380 psychiatric service users from a random sample of health care providers in Belgium. We computed various measures of the structure of those networks and of the position of support persons within those networks. We conducted a multilevel analysis of the importance of the support provided by each support persons. Results: The results show that the more central a support person was in the network of a service user, the more important his or her support was considered to be by the service user. Also, the denser the network in which a support person was embedded, the less important was the support he or she offers, but only for hospitalised service users. Conclusion: These finding highlight the collective dimension of social support. We discuss the implications for the organisation of mental health care

Ab Initio Investigation of Ethane Dissociation Using Generalized Transition State Theory

The simple carbon−carbon scission of ethane is investigated by performing quantum mechanical calculations. The approach described in this paper was developed to determine dissociation rate constants for both small and large organic molecules, such as n-alkanes or alkyl-benzenes, for reasonable ranges of computation time and accuracy. The methodology that we propose is based on generalized transition state theory, where transition states are defined along rate constant profiles and not along potential energy curves. Simulations reported in this paper aim to validate this methodology by examining the dissociation of ethane. Calculations, performed at the DFT B3:LYP 6-31G** theory level, correctly account for the looseness of the transition state as a function of temperature. Dissociation activation parameters obtained by this method are in good agreement with data available in the literature. Despite the assumptions made, the order of magnitude and the specific temperature dependence of rate constants for methyl recombination are also fairly predicted