Search Results (276)

Background: The role of emotional intelligence on the experience of behavioural addictions is a growing area of research interest. However, there are operationalisation issues in studying both emotional intelligence and behavioural addictions separately. This review aims to report on the existing literature of studies exploring the relationship between these two concepts, and to identify gaps in research practice in order to inform future studies. Methods: A search, covering the date range of 2013–2024, conducted in five databases in August 2024 identified 43 articles, reported according to PRISMA 2020 guidelines. The findings are discussed under four subheadings: technology-related behavioural addiction, internet gaming disorder, eating disorders, and consumer behaviour and compulsive buying. Results: Overall, the results show that emotional intelligence is negatively correlated with behavioural addictions and plays both a moderating and mediating role in the associations between behavioural addictions and other negative outcomes such as suicidal ideation, rumination, fear of missing out, and depression. Conclusions: In addition to summarising studies and controversial discussions on emotional intelligence and behavioural addictions, this review suggests possible roadmaps to ensure more accurate research outcomes by highlighting the importance of theoretical and methodological distinctions between trait and ability models of emotional intelligence. Full article

Integrating Internet of Things (IoT) devices and machine learning (ML) techniques holds immense potential for transforming beekeeping practices. This review paper offers a critical analysis of state-of-the-art IoT-enabled precision beekeeping systems. It examines the diverse sensor technologies deployed for honeybee data acquisition, delving into their strengths and limitations, particularly regarding accuracy, reliability, energy sustainability, transmission range, feasibility, and scalability. Furthermore, this paper dissects prevalent ML models used for bee behaviour analysis, disease detection, and colony monitoring tasks. This paper evaluates their methodologies, performance metrics, and the challenges involved in selecting appropriate machine learning algorithms. It also examines the influence of sensing devices, computational complexity, dataset limitations, validation procedures, evaluation metrics, and the effects of pre-processing techniques on these models’ outcomes. Building upon this analysis, this paper identifies key research gaps and proposes promising avenues for future investigation. The focus is on the synergistic use of IoT and ML to address colony health management challenges and the overall sustainability of the beekeeping industry. Full article

Phubbing, defined as the disruption of social relationships and interactions due to excessive cell phone use, is becoming an increasing concern in modern society. Since one of the primary motivations for cell phone use is internet access, it is crucial to assess the time that individuals spend online to measure the prevalence of phubbing as a social behaviour disorder. This study aimed to better understand and evaluate the phubbing phenomenon by predicting future trends in internet usage using machine learning techniques. Four machine learning models—an artificial neural network (ANN), support vector regression (SVR), random forest (RF) regression, and time series—were employed to predict the average internet usage. Data from 2014 to 2024 were obtained from the World Bank, and cross-validation was used to enhance the reliability and accuracy of the models. All four models were successful in predicting internet usage, with the ANN showing the highest accuracy, followed by SVR, RF, and the time series. According to the data, the average daily time spent online increased from 277 min in 2014 to 417 min in 2024. Projections based on these machine learning models estimate that this figure will rise to 507 min by 2030 and 603 min by 2035. These findings provide valuable insights into the potential risks of increased phubbing behaviours on social interactions and offer a foundation for the exploration of the long-term health implications of excessive internet use. Future research could further examine the effects of phubbing on mental health and develop strategies to mitigate this social behaviour disorder. Full article

This study examines the association between problematic internet use, or internet addiction, and adolescent mental health, focusing on key psychological variables, assessing the strength of these associations, and identifying potential moderating factors. Methods: A search of the Web of Science databases over the past five years identified 830 articles. Of these, 33 met the inclusion criteria, involving 303,243 participants (average age 14.57; 49.44% female). The selection process was verified by two researchers. Results: Nine psychological variables were analyzed: depression, anxiety, stress, suicidal behaviour, psychological well-being, self-esteem, externalizing problems, aggressiveness, and impulsiveness. Internet addiction showed positive correlations with aggressiveness (r+ = 0.391), depression (r+ = 0.318), anxiety (r+ = 0.252), and suicidal behaviour (r+ = 0.264). Negative correlations were observed with psychological well-being (r+ = ?0.312) and self-esteem (r+ = ?0.306). No significant associations were found for externalizing problems, impulsiveness, or stress. None of the moderators showed a significant correlation with internet addiction and depression. Conclusions: Although limited by small sample sizes for some variables and the cross-sectional design of most studies, the findings confirm that there is a negative relationship between internet addiction and adolescent mental health. It is related to poorer self-perceived health, greater psychological distress, and greater aggression. Full article

Background/Objectives: Robot-assisted and open radical prostatectomy (RARP and ORP) are established procedures for localized prostate cancer, with comparable oncological and functional outcomes. Little is known about patients’ knowledge of both procedures. This study aimed to examine comparatively the informational behaviour and knowledge of patients undergoing ORP vs. RARP. Methods: This prospective, multicentre study included patients who underwent RARP or ORP prior to presurgery counselling. The questionnaires gathered information about patients’ information-seeking behaviours and their assessment of outcomes for RARP vs. ORP. We investigated risk factors for the misperception of procedure outcomes. Results: A total of 508 patients were included (307 RARP (60%); 201 ORP (40%)). The most common sources of information were outpatient urologists (84%), urologic departments (67%) and the internet (57%). Compared with ORP, RARP patients more often received the same amount of information about both procedures (60% vs. 40%, p < 0.001). Compared with ORP, RARP patients wrongfully considered their procedure to be superior in terms of oncological and functional outcomes. In the multivariable analysis, age > 66 years (OR 2.1, p = 0.02), no high school degree (OR 1.9, p = 0.04), unbalanced information search (OR 2.4, p = 0.02), RARP patient status (OR 8.9, p < 0.001), and treatment at a centre offering only one procedure (OR 3.5, p < 0.001) were independent predictors of misperception. Conclusions: RARP patients wrongfully considered their intervention to be oncologically and functionally more beneficial than ORP patients perceived it to be. This may be due to unbalanced sources of information. Urologists and surgical centres must address this misperception to enable patients to make informed decisions. Full article

Internet of Things (IoT) devices are ubiquitous in various applications, such as smart homes, asset and people tracking, and city management systems. However, their deployment in adverse conditions, including unstable internet connectivity and power sources, present new cybersecurity challenges through new attack vectors. The LoRaWAN protocol, with its open and distributed network architecture, has gained prominence as a leading LPWAN solution, presenting novel security challenges. This paper proposes the implementation of machine learning algorithms, specifically the K-Nearest Neighbours (KNN) algorithm, within an Intrusion Detection System (IDS) for LoRaWAN networks. Through behavioural analysis based on previously observed packet patterns, the system can detect potential intrusions that may disrupt critical tracking services. Initial simulated packet classification attained over 90% accuracy. By integrating the Suricata IDS and extending it through a custom toolset, sophisticated rule sets are incorporated to generate confidence metrics to classify packets as either presenting an abnormal or normal behaviour. The current work uses third-party multi-vendor sensor data obtained in the city of Lisbon for training and validating the models. The results show the efficacy of the proposed technique in evaluating received packets, logging relevant parameters in the database, and accurately identifying intrusions or expected device behaviours. We considered two use cases for evaluating our work: one with a more traditional approach where the devices and network are static, and another where we assume that both the devices and the network are mobile; for example, when we need to report data back from sensors on a rail infrastructure to a mobile LoRaWAN gateway onboard a train. Full article

The logistics and transportation sectors are struggling to manage empty containers (ECs), resulting in unused resources, inefficiencies, and increased CO₂ emissions. The Physical Internet (PI) concept provides an opportunity to improve container sharing and transportation by intelligently organising logistics resources. This paper shows how PI principles can address the EC problem in truck transportation. The objective is to reduce CO₂ emissions with improved space-sharing strategies. The problem is formulated and solved using a two-stage optimisation approach (2Stage-Opt) to optimise container motion. The validity of the 2Stage-Opt solutions is tested using a developed multi-agent system simulation (MASS) model to replicate the behaviour of real multi-modal hubs. This approach is evaluated using a real-world case study from a multi-modal logistics centre in the north of France. The results indicate that utilising PI-container solutions offers significant sustainability benefits, especially in reducing the number of trucks used in the simulation and the CO₂ emissions from ECs. Full article

Background/Objectives: Adolescence represents a period of heightened vulnerability to risky sexual behaviours. In Portugal, adolescents are initiating sexual activity at increasingly younger ages, making it relevant to characterise their knowledge about sexually transmitted diseases and prevention methods at an earlier stage of their development. Methods: A cross-sectional observational study was conducted involving the application of a questionnaire to 750 ninth-grade students from Vila Nova de Gaia, Porto, Portugal. The questionnaire covered topics such as perceptions of sexuality, knowledge of sexuality and STIs, methods of transmission prevention, and sources of information. Results: The mean age was 14.4 years, with 19.9% reporting having already initiated sexual activity. Overall, the knowledge about sexually transmitted infections was low, with a score of 7.08 out of a maximum score of 18. Condoms and immunisation were well-recognised preventive measures, but many misconceptions persisted. Better knowledge is associated with better attitudes regarding the likelihood of having sexual intercourse. Conclusions: This study reveals adolescents’ limited knowledge about sexually transmitted infections, misconceptions about prevention, and reliance on peers and the internet over trusted sources, highlighting the need for comprehensive sexual education in middle school. Full article

We adapt the classical mixed Poisson process models for investigation of consumer behaviour in a situation where after a random time we can no longer identify a customer despite the customer remaining in the panel and continuing to perform buying actions. We derive explicit expressions for the distribution of the number of purchases by a random customer observed at a random subinterval for a given interval. For the estimation of parameters in the gamma–Poisson scheme, we use the estimator minimizing the Hellinger distance between the sampling and model distributions, and demonstrate that this method is almost as efficient as the maximum likelihood being much simpler. The results can be used for modelling internet user behaviour where cookies and other user identifiers naturally expire after a random time. Full article

Background: This study aimed to investigate whether Internet-based cognitive behavioural therapy intervention (ICBT) for individuals with tinnitus had an indirect effect on the third-party disability noticed by significant others (SOs). Methods: Significant Others Questionnaire (CTSOQ). Individuals with tinnitus completed standardized self-reported outcome measures for tinnitus severity, anxiety, depression, insomnia, hearing-related quality of life, tinnitus cognitions, hearing disability, and hyperacusis. Results: In total, 194 pairs of individuals with tinnitus and their SOs participated. The impact of third-party disability experienced by SOs was significantly reduced after individuals with tinnitus undertook the ICBT intervention (d = 0.41). This reduced SOs with severe difficulties from 52% to 35%. The remaining impact was mild for 30% and moderate for 35%. SOs with higher baseline difficulties and SOs who were partners (e.g., spouses) were less likely to notice indirect benefits from intervention undertaken by their family members. There was a moderate positive correlation between the post-intervention CTSOQs and the clinical variables of tinnitus severity and depression. Conclusions: Third-party disability may be reduced as an indirect effect of individuals with tinnitus undertaking ICBT. Including SOs of individuals with tinnitus within the rehabilitation process may add additional benefits, and such involvement should be encouraged. Full article

Background: The perception of the risk of sexually transmitted infections (STIs) is a well-researched phenomenon, but not in relation to cyberchondria and health literacy. Therefore, our aim was to examine the association between the assessment of the risk of sexually transmitted diseases and HIV, cyberchondria, and health literacy. Materials and methods: This study was conducted in 2020–2021 in Croatia. The experimental group consisted of patients from the Centre for Voluntary Counselling and Testing for HIV (N = 134). The control group consisted of other patients recruited from daily epidemiological practices (N = 171). The instruments that were used were questionnaires that measure the perception of risk of sexually transmitted infections and HIV, health literacy, and cyberchondria. Results: Out of 305 respondents, 134 (43.9%) were in the STI counselling group, and 171 (56.1%) were in the control group. Generally, the participants in the former perceived the risk of sexually transmitted infections and HIV to be higher (but still low) than those in the latter. There was no difference in health literacy between the STI and control group; the health literacy score was average in both groups. There were differences in almost all the cyberchondria factors, except for Mistrust. Health literacy, belonging to the STI counselling group, and risk behaviours were positively associated with CH in the logistic regression analysis. Conclusions: People with a risk for STIs tend to minimize this risk, have higher cyberchondria levels, and have average health literacy. Cyberchondria is positively associated with health literacy, and more education about excessive health-related internet research is needed. Full article

Emotional health represents a significant burden on the mental health of university students. Adapting to a new learning environment and facing increased academic pressure make this period particularly vulnerable for their emotional health and well-being. The objective of the study was to analyse the prevalence of emotional and behavioural problems in university students and their association with lifestyle habits, and mental and physical health indicators. A cross-sectional study was conducted on a sample of 1268 students (23.65 ± 7.84 years) from a university in northern Spain during November 2020 and March 2021. An online questionnaire was administered, comprising the self-report Strengths and Difficulties questionnaire, the Trait Meta-Mood Scale, the Rosenberg Self-Esteem Scale, the Satisfaction with Life Scale, the Perceived Stress Scale, the SENTIA-Brief Scale, the KIDMED questionnaire, the International Physical Activity Questionnaire-Short Form, the Alcohol Use Disorders Identification Test, and the Compulsive Internet Use Scale. 27.60% of students exhibited some form of emotional and behavioural problem. Students who did not present emotional and behavioural problems showed lower perceived stress, reduced suicidal behaviour and emotional intelligence deficits, as well as lower alcohol consumption and compulsive internet use (p < 0.001). Additionally, they reported higher engagement in physical activity and greater adherence to the Mediterranean diet (p < 0.001). The study shows that emotional and behavioural problems are recurring among university students, and given that modifiable psychosocial and lifestyle factors are associated with these issues, it underscores the need to develop multidisciplinary intervention strategies. Full article

The ubiquity of digital devices and the Internet, along with continuing technological innovation, makes it difficult not to rely on them in some capacity, whether for work or play, in our daily lives. This dependence on their usage could impact life satisfaction. Furthermore, the recognition and perception of this dependence could have implications for life satisfaction as well, whether positive or negative. We thus sought to explore how perceptions of dependence and dependent behaviour on digital devices and the Internet affected life satisfaction. We also examined whether one had a greater effect than the other. We conducted three online nationally representative surveys with 7991, 7703, and 8356 Singaporeans, and performed a hierarchical linear regression analysis on the data. The results show significant but weak positive relationships between dependence on digital devices, the importance of the Internet, and life satisfaction. A greater consistent effect on life satisfaction was also observed from the perceptions of dependence compared with dependent behavior. The implications are discussed, with implications for governmental policy strategy for reducing the potential harms of dependence on digital devices and the Internet. Full article

Petri nets are a graphical notation for describing a class of discrete event dynamic systems whose behaviours are characterised by concurrency, synchronisation, mutual exclusion and conflict. They have been used over the years for the modelling of various distributed systems applications. With the advent of pervasive systems and the Internet of Things, the Calculus of Context-aware Ambients (CCA) has emerged as a suitable formal notation for analysing the behaviours of these systems. In this paper, we are interested in comparing the expressive power of Petri nets to that of CCA. That is, can the class of systems represented by Petri nets be modelled in CCA? To answer this question, an algorithm is proposed that maps any Petri net onto a CCA process. We prove that a Petri net and its corresponding CCA process are behavioural equivalent. It follows that CCA is at least as expressive as Petri nets, i.e., any system that can be specified in Petri nets can also be specified in CCA. Moreover, tools developed for CCA can also be used to analyse the behaviours of Petri nets. Full article

This paper describes an empirical experiment of Internet of Things (IoT)’s integration in the Post-Occupancy Evaluation (POE) process. The experiment aimed to trial a novel IoT approach to enabling building user responsiveness to prevalent IEQ for individualised comfort. The purpose is to provide a system that mitigates a common issue of centralised air conditioning that limits occupants’ control over their immediate environment. To achieve this, an IoT platform was developed with smart IEQ monitoring sensors and wearable devices and trialled with PhD researchers in a shared university workspace. The findings provided empirical evidence of IoT’s enhanced benefits to improving user control over their individual comfort and enabling positive energy behaviour in buildings. Specifically, the IoT system provided real-time insight into CO₂ concentration data while enabling responsive occupant interaction with their immediate environment and at-the-moment mitigation actions. Outputs of the experiment showed that the perceptions of participants about the stuffiness of the air, productivity, and healthy environment were significantly better after taking the mitigation action compared to before. Also, we found a significant relationship between measured CO₂ concentration readings and perceived air stuffiness (p = 0.004) and productivity (p = 0.006) and a non-significant relationship between CO₂ concentration readings and perceived healthy environment (p = 0.058). Interestingly, we observed that irrespective of the similarities in recorded CO₂ concentration readings being within acceptable ranges (632–712 ppm), the perception of air stuffiness significantly differed (p = 0.018) before and after the mitigation actions. The effectiveness of the developed IoT platform was evidenced as most of the participants found the process very easy to participate in with little interruptions to their work as little time was consumed. The results are useful in modifying approaches to building occupant comfort and energy behaviour in commercial and residential settings. Full article