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Paramedics are responsible for managing emergencies, caring for patients and performing life-saving procedures under heavy workloads, which can have a significant negative effect on their emotional eating and food addiction (FA) behaviors. Thus, this cross-sectional study aims to shed light on the relationship between emotional eating tendencies and FA in paramedics by considering their food preferences, sex, and body mass index (BMI) factors.

The questionnaire consisted of Yale Food Addiction Scale and Emotional Eating Questionnaire (EEQ), as well as sex, age, weight, height and number of snacks and main meals collected face-to-face from the 196 paramedics.

The FA prevalence was 14.9%, and more than half of the paramedics were emotional eaters. The total score of the EEQ was significantly higher in the FA diagnosed group than in the group FA not diagnosed (p < 0.001). The food preferences of the paramedics were found to differ significantly depending on whether they were diagnosed with FA or emotional eating. Being a food addict or emotional eater significantly increases the odds of consuming chocolate-wafer, pie-cake, chips, pastries, pasta and fries (p < 0.05), and participants with FA diagnosis and emotional eaters were more likely to prefer these foods than those with nondiagnosis and nonemotional eaters (p < 0.05).

Findings highlighted the connection between FA and the emotional eating behavior of paramedics, indicating that they attempt to compensate for their emotional ups and downs through eating. The job-related stress and emotional eating behaviors of paramedics may increase their BMI and susceptibility to FA.

The purpose of this study is to explore linguistic stylometric patterns encompassing lexical, syntactic, structural, sentiment and politeness features that are found in librarians’ responses to user queries.

A total of 462 online texts/transcripts comprising answers of librarians to users’ questions drawn from the Internet Public Library were examined. A Principal Component Analysis, which is a data reduction technique, was conducted on the texts and transcripts. Data analysis illustrates the three principal components that predominantly occur in librarians’ answers: stylometric richness, stylometric brevity and interpersonal support.

The results of the study have important implications in digital information services because stylometric features such as lexical richness, structural clarity and interpersonal support may interplay with the degree of complexity of user queries, the (a)synchronous communication mode, application of information service guideline and manuals and overall characteristics and quality of a given digital information service. Such interplay may bring forth a direct impact on user perceptions and satisfaction regarding interaction with librarians and the information service received through the computer-mediated communication channel.

To the best of the authors’ knowledge, the stylometric features encompassing lexical, syntactic, structural, sentiment and politeness using Principal Component Analysis have not been explored in digital information/reference services. Thus, there is an emergent need to explore more fully how linguistic stylometric features interplay with the types of user queries, the asynchronous online communication mode, application of information service guidelines and the quality of a particular digital information service.

This study aims to conduct performance and clustering analyses with the help of Digital Government Reference Library (DGRL) v16.6 database examining the role of emerging technologies (ETs) in public services delivery.

VOSviewer and SciMAT techniques were used for clustering and mapping the use of ETs in the public services delivery. Collecting documents from the DGRL v16.6 database, the paper uses text mining analysis for identifying key terms and trends in e-Government research regarding ETs and public services.

The analysis indicates that all ETs are strongly linked to each other, except for blockchain technologies (due to its disruptive nature), which indicate that ETs can be, therefore, seen as accumulative knowledge. In addition, on the whole, findings identify four stages in the evolution of ETs and their application to public services: the “electronic administration” stage, the “technological baseline” stage, the “managerial” stage and the “disruptive technological” stage.

The output of the present research will help to orient policymakers in the implementation and use of ETs, evaluating the influence of these technologies on public services.

The research helps researchers to track research trends and uncover new paths on ETs and its implementation in public services.

Recent research has focused on the need of implementing ETs for improving public services, which could help cities to improve the citizens’ quality of life in urban areas. This paper contributes to expanding the knowledge about ETs and its implementation in public services, identifying trends and networks in the research about these issues.