Gambling is a well-known leisure activity that leads to significant consequences when consumed excessively. We provide an analysis of the impact of access to faster and more reliable internet connection on gambling. We rely on variations in the rollout of Australia's largest infrastructure project, National Broadband Network (NBN) installation, to measure internet speed at the postcode level. Using gambling data from the Household, Income and Labour Dynamics in Australia (HILDA) survey, we find that access to high-speed internet is associated with a decline in gambling proxied by the Problem Gambling Severity Index (PGSI). However, a closer look at the various forms of gambling show that internet speed is associated with an increase in online-based gambling activities, which constitute a relatively small proportion of gambling activities that Australians participate in. In contrast, internet speed is associated with a decline in venue-based gambling activities, which constitute a large proportion of gambling activities that occur in Australia, and therefore explains the overall negative effect on gambling. We find that social capital and cognitive functioning are channels through which internet speed influences gambling.
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http://dx.doi.org/10.1007/s10899-024-10352-0 | DOI Listing |
Phys Chem Chem Phys
December 2024
Post Industry Technology Research and Development Center of the State Posts Bureau (Internet of Things Technology), Nanjing University of Posts and Telecommunications, Nanjing 210023, P.R. China.
This paper introduces a novel butterfly optimization algorithm, called the spiral search and dynamic crossover based butterfly optimization algorithm (SCBO), for parameter estimation in proton exchange membrane fuel cell (PEMFC) models. To enhance the global performance of the butterfly algorithm, a spin-search strategy is incorporated to expand its exploration range, while an adaptive factor is introduced to strike a balance between exploration and exploitation. Additionally, a dynamic crossover operation is integrated to enhance solution diversity, addressing the algorithm's tendency to converge to local optima.
View Article and Find Full Text PDFHardwareX
September 2024
Universidad Tecnológica de Panamá, Avenida Universidad Tecnológica de Panamá, Vía Puente Centenario, Campus Metropolitano Víctor Levi Sasso 0819-0728, Panama.
In recent years, the escalation of industrial activities has significantly increased natural resource pollution, with air pollution becoming a major cause of diseases affecting living organisms. To address this critical environmental challenge, this study proposes a comprehensive air pollution monitoring system utilizing advanced technological instruments based on the Internet of Things (IoT). The system's primary objective is to provide precise, rapid, and efficient measurements, enabling detailed examinations of pollutant behaviors and facilitating data dissemination.
View Article and Find Full Text PDFHeliyon
December 2024
Tourism and Culture School, the Tourism College of Changchun University, Changchun, 130000, China.
This study aims to analyze the evolutionary characteristics and development levels of regional ice and snow tourist destinations by integrating the Back Propagation Neural Network (BPNN) within an Internet of Things (IoT) framework. Data from multiple sources are gathered through web scraping technology from various online platforms and are then subjected to cleaning, standardization, and normalization. A feature recognition model for ice and snow tourism is constructed based on a BPNN combined with a Spatial-Temporal Graph Convolutional Network (ST-GCN) algorithm.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Automation & Information Engineering, Sichuan University of Science & Engineering, Yibin 644000, China.
Lightweight object detection algorithms play a paramount role in unmanned aerial vehicles (UAVs) remote sensing. However, UAV remote sensing requires target detection algorithms to have higher inference speeds and greater accuracy in detection. At present, most lightweight object detection algorithms have achieved fast inference speed, but their detection precision is not satisfactory.
View Article and Find Full Text PDFSensors (Basel)
November 2024
DIGIMEDIA-Digital Media and Interaction Research Centre, Department of Communication and Arts, University of Aveiro, 3810-193 Aveiro, Portugal.
Maritime navigation safety relies on preventing accidents, such as collisions and groundings. However, several factors can exacerbate these risks, including inexistent or inadequate buoyage systems and nautical charts with outdated bathymetry. The International Hydrographic Organization (IHO) highlights high costs and traditional methods as obstacles to updating bathymetric information, impacting both safety and socio-economic factors.
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