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Found 6374 publications

Exercise Addiction: a Thematic Analysis of Self-Reported Cases for Clinical Insight and Prevention

Publication Name: International Journal of Mental Health and Addiction

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Exercise addiction (EA) is a potentially harmful behavioral disorder that remains clinically undefined, with research often relying on symptom-based models that overlook subjective experiences. This study reviewed 63 self-reported EA cases using Braun and Clarke’s thematic analysis to identify recurring experiential patterns that may go beyond the component model of addictions (CMA). Nine themes emerged: loss of control, diverse exercise engagement, identity fusion, emotional coping, social disconnection, health denial, gender disparity, compulsive quantification, and severe physical consequences. The findings provide ecologically valid insights into the psychological and social dynamics of EA. Some themes partially overlapped with the CMA, but also with obsessive passion and self-determination, highlighting the limitations of current research frameworks and the need for more inductive, person-centered approaches. The results have practical implications for prevention, early detection, and intervention strategies and contribute to the ongoing effort to establish clinical diagnosis criteria for EA.

Open Access: Yes

DOI: 10.1007/s11469-025-01549-4

Digital economy and export complexity: unveiling its role in transforming china’s manufacturing industry

Publication Name: Environment Development and Sustainability

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The digital economy has become a key driver in transforming and upgrading China’s manufacturing industry. This study contributes to the existing literature by utilizing spatial econometrics on panel data from 31 provinces, autonomous regions, and municipalities across mainland China to capture the regional spatial effects of the digital economy and regional disparities on the technological complexity of China’s manufacturing exports. These areas are often overlooked in prior studies. Unlike prior research focusing on isolated mechanisms, this study simultaneously evaluates three mediating pathways: innovation, human capital, and industrial restructuring, providing a comprehensive understanding of digitalization’s impact on export complexity. The duration of the study spans from 2011 to 2020. The study’s findings reveal that the digital economy’s growth significantly improves the technological complexity of manufacturing exports. It achieves this through three primary channels: promoting technological innovation, enhancing human capital, and advancing industrial structures. Furthermore, the influence of the digital economy on export technology complexity varies by region, indicating regional heterogeneity. Therefore, to foster a strong industrial ecosystem, each region must refine its digital economy environment, elevate development levels, encourage collaboration, and facilitate information sharing, thereby accelerating the digital transformation of manufacturing.

Open Access: Yes

DOI: 10.1007/s10668-025-06742-y

Does urban shrinkage impact energy efficiency?: Evidence from Chinese counties

Publication Name: Renewable Energy

Publication Date: 2025-01-01

Volume: 238

Issue: Unknown

Page Range: Unknown

Description:

Some cities in China are facing challenges due to population loss while also attempting to address energy conservation and emissions reduction. Although urban shrinkage can relieve pressure from energy consumption demands, such as water, electricity and gas, does it improve urban energy efficiency? This study attempts to answer this question. Based on Point of Interest (POI) big data and Global Human Settlement Layer (GHSL) raster data, this study identifies urban shrinkage from the coupling perspective of administrative and economic boundaries. It also examines the impact of urban shrinkage on energy efficiency. The results suggest that Chinese counties’ overall energy efficiency is experiencing a four-stage “decline-rise-decline-rise” trend, and the urban shrinkage of Chinese counties exists in three major areas: the Northeast, the Southwest, and the Centre. Compared to non-shrinking cities, urban shrinkage has a significant negative impact on improving energy efficiency. This impact exhibits significant heterogeneity. Specifically, compared with mature resource cities and cities in Western China, regenerative cities, non-resource cities and cities in Central China have less impact on energy efficiency. In addition, urban shrinkage may impede energy efficiency improvement by hindering industrial structure transformation and upgrading, energy-saving technology innovation, and financial development. Clarifying the relationship between urban shrinkage and energy efficiency is helpful for shrinking cities to change their development strategies, which is critical for sustainable development.

Open Access: Yes

DOI: 10.1016/j.renene.2024.121878

Implications of Financial Literacy on Pawnshop Usage

Publication Name: Policy Implications on International Financial Economics and Banking

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 441-464

Description:

This chapter aims to analyze financial literacy implications on pawnshop usage. The analysis departs from the assumption that individuals and micro-organizations lacking financial literacy and lower opportunities to have access to short-term credit provided by formal financing and banking institutions, are more likely to use pawnshops to get easily and fastest financial resources urgently needed for survival, living expenses and other required matters. The method used is the semi-structured interviews to borrowers followed by meta-analysis and meta-cognitive approaches based on conceptual, theoretical and empirical literature review. The chapter concludes that the financial literacy of undeserved individuals and micro-organizations, tend to reduce their access to formal financial and banking institutions to get credit, driving them to use pawnshops.

Open Access: Yes

DOI: 10.4018/979-8-3373-3725-8.ch015

Revolutionising autonomous vehicles: inspiring consumers in the age of Industry 4.0 technologies

Publication Name: Journal of Marketing Management

Publication Date: 2025-01-01

Volume: 41

Issue: 13-14

Page Range: 1341-1369

Description:

Advances in AI and Industry 4.0 technologies are reshaping society, yet consumer resistance to innovations like autonomous vehicles (AVs) remains significant. Despite the proven benefits of fully autonomous vehicles, adoption lags. This study addresses gaps in AV adoption research by developing a sequential theoretical framework to explore the psychological relationships between AV stressors, benefits, trust, adoption difficulty, and consumer resistance. Grounded in trust, JTBD theory, and inspiration theories, the model was tested on 671 consumers in Australia and the USA, revealing that trust and inspiration play a crucial role in reducing resistance. Notably, inspired consumers exhibit lower resistance, suggesting a focus on AV benefits to foster inspiration and facilitate adoption. The study’s findings have practical implications for promoting AV adoption, highlighting the pivotal role of trust and inspiration in reducing consumer resistance. Marketers and policymakers can benefit from this research by designing strategies that inspire consumers and ease adoption barriers.

Open Access: Yes

DOI: 10.1080/0267257X.2025.2541840

A Learning Factory Environment for Human–Robot Collaboration-Based Remanufacturing Supported by Artificial Intelligence Solutions

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1546 LNNS

Issue: Unknown

Page Range: 296-303

Description:

In contrast to one-way assembly of products, simple disassembly and more complex remanufacturing present additional challenges and unknowns on several levels, often requiring human capabilities to be combined with machines—thereby becoming a rewarding deployment field for human–robot collaboration, supported by artificial intelligence, advanced planning and extended reality for improved human–machine interrelations. While the industry has realized little benefit of these—still evolving—areas, learning factories can contribute to closing gaps in skills and mindset of future engineers likely to actively shape the aforementioned fields at the time they begin to notably penetrate industrial production. The paper proposes an approach for building up a portfolio of learning factory resources supporting students in acquiring and independently refining knowledge and practice related to collaborative remanufacturing. The paper presents an incremental approach extending manufacturing knowledge to diagnostics and disassembly in collaborative environments, with an outlook on more comprehensive remanufacturing.

Open Access: Yes

DOI: 10.1007/978-3-031-98883-7_36

Integration of Life Cycle Assessment in Structural Optimisation of Steel Structures

Publication Name: Lecture Notes in Civil Engineering

Publication Date: 2025-01-01

Volume: 770 LNCE

Issue: Unknown

Page Range: 181-190

Description:

Lowering environmental impacts has lately been a critical objective of structural optimisation due to the significant amount of greenhouse gas (GHG) emissions in the civil engineering sector. This work introduces a Life Cycle Assessment (LCA) based multi-objective optimisation framework for the optimal design of mixed steel-timber structures by varying the building design’s size, shape, and topology. The study’s novelty stems from the integration of an environmental objective function in the early design process, based on LCA methodology and standard environmental indicators, and the definition of a structural target function where a penalty-based approach is implemented for reducing structural complexity in situ. The structural cost and the Global Warming Potential (GWP) are the objective functions of the optimisation problem. The analysis outcomes reveal that minimising the number of connections as well as moving towards timber-steel solutions represents the key aspect to achieve a sustainable and effective design of spatial truss structures.

Open Access: Yes

DOI: 10.1007/978-3-032-08407-1_16

Passion and Addiction in Aerobic, Anaerobic, and Mixed (CrossFit) Exercises

Publication Name: Studia Sportiva

Publication Date: 2025-01-01

Volume: 19

Issue: 2

Page Range: 235-249

Description:

This study employed exercise dependence and four-phase models to investigate the relationship between passion for exercise and the risk of exercise addiction (REA) among practitioners of aerobic, anaerobic, and CrossFit exercises. Participants (N = 424; 60.8% female; meanage = 38.29 ± 9.71 years) were recruited from fitness centers and social media in Hungary. The sample included 234 CrossFit, 126 aerobic (e.g., running, cycling, swimming), and 64 anaerobic (bodybuilding) exercisers. Data were collected online on Qualtrics, which included demographic questions, the Exercise Addiction Inventory-3, and the Passion Scale-8. CrossFit participants exhibited the highest exercise frequency and intensity, with a greater prevalence of REA (25.2%) compared to the anaerobic (15.6%) and aerobic (14.3%) groups. Cross Fitters also scored higher on salience, withdrawal symptoms, and passion. However, group differences in absolute REA scores vanished after controlling for passion and exercise characteristics. Gender differences emerged, with females showing a stronger affective connection to exercise and higher withdrawal symptoms. Passion was strongly correlated with REA (r = 0.55) and accounted for 28% of the variance in it. Further research is needed to distinguish between passion-driven exercise and addiction.

Open Access: Yes

DOI: 10.5817/StS2025-2-17

Visual Inspection in Transport Using Autonomous Robots

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1258 LNNS

Issue: Unknown

Page Range: 132-143

Description:

The development of new technologies, which include advanced sensors and the application of artificial intelligence, has led to the moment that some operations done by workers can be changed in the maintenance domain. Visual inspection is one of the operations that will be changed in the future. Today, there are various legal regulations regarding the maintenance and control of vehicles in the transport sector, which cause additional costs for operators. There is a need to reduce those costs by integrating autonomous robots for the visual inspection of various vehicles. In addition to reduced costs, the benefits are reflected in improved human safety, greater efficiency, and reduced errors during the visual controls. This paper explores various applications of autonomous robots in various transport domains, including rail systems, road and bridge networks, aerospace, and maritime industries. It also shows a real example of visual control of locomotive undercarriage in railways.

Open Access: Yes

DOI: 10.1007/978-3-031-81799-1_13