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Internet Addiction and Antisocial Internet Behavior of Adolescents
Published 2011-01-01“…., cyberbullying) such as distributing libelous statements against a certain person, (3) the use of Internet to cheat others, and (4) the use of Internet to do illegal gambling. The characteristics of the moral stages that are associated with these antisocial Internet behaviors are investigated in detail.…”
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62
Dopamine Agonists and Pathologic Behaviors
Published 2012-01-01“…Use of these medications in Parkinson’s disease has been complicated by the emergence of pathologic behavioral patterns such as hypersexuality, pathologic gambling, excessive hobbying, and other circumscribed obsessive-compulsive disorders of impulse control in people having no history of such disorders. …”
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63
Playing by the rules: Government regulation and consumer trust in the online poker industry
Published 2025-03-01“…The study also finds lingering effects of the Unlawful Internet Gambling Enforcement Act, which made it difficult for players to manage funds on unregulated sites. …”
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64
Redesigning and Implementing the Public Game Information and Rating System in South Korea
Published 2022-01-01“…Rating reviews in the game industry aim to enhance the protection of young users, promote game ethics, and prevent negative use of it as a gambling but recent studies and public opinions have reported that the current rating system in South Korea is excessively regulative. …”
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65
Personality structure assessment of people with opiate addiction and people with internet addiction disorder
Published 2024-01-01“…Neurobiological and pharmacological data suggest similarities between the pathophysiology of opiate addiction and pathological gambling. The objective of this research was to compare the sociodemographic characteristics of people with Internet Addiction Disorder, people who are addicted to opiates and the control group. …”
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66
Bytecode-based approach for Ethereum smart contract classification
Published 2022-10-01“…In recent years, blockchain technology has been widely used and concerned in many fields, including finance, medical care and government affairs.However, due to the immutability of smart contracts and the particularity of the operating environment, various security issues occur frequently.On the one hand, the code security problems of contract developers when writing contracts, on the other hand, there are many high-risk smart contracts in Ethereum, and ordinary users are easily attracted by the high returns provided by high-risk contracts, but they have no way to know the risks of the contracts.However, the research on smart contract security mainly focuses on code security, and there is relatively little research on the identification of contract functions.If the smart contract function can be accurately classified, it will help people better understand the behavior of smart contracts, while ensuring the ecological security of smart contracts and reducing or recovering user losses.Existing smart contract classification methods often rely on the analysis of the source code of smart contracts, but contracts released on Ethereum only mandate the deployment of bytecode, and only a very small number of contracts publish their source code.Therefore, an Ethereum smart contract classification method based on bytecode was proposed.Collect the Ethereum smart contract bytecode and the corresponding category label, and then extract the opcode frequency characteristics and control flow graph characteristics.The characteristic importance is analyzed experimentally to obtain the appropriate graph vector dimension and optimal classification model, and finally the multi-classification task of smart contract in five categories of exchange, finance, gambling, game and high risk is experimentally verified, and the F1 score of the XGBoost classifier reaches 0.913 8.Experimental results show that the algorithm can better complete the classification task of Ethereum smart contracts, and can be applied to the prediction of smart contract categories in reality.…”
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67
Investigation of the Relationship Among Fantasy Football Participation Motivation, Consumer Satisfaction and Behavioral Intentions
Published 2018-12-01“…As a result of the regression analysis, FFPM (subscales of entertainment, social interaction and gambling) could be predicted behavioral intent @ 36% (F = 92,453, p lt;0.01). …”
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68
Decision Making Cognition in Primary Progressive Aphasia
Published 2012-01-01“…We sought to investigate the decision making profile of Primary Progressive Aphasia (PPA) by assessing patients diagnosed with this disease (n = 10), patients diagnosed with behavioral variant frontotemporal dementia (bvFTD, n = 35), and matched controls (n = 14) using the Iowa Gambling Task, a widely used test that mimics real-life decision making. …”
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69
Malicious user detection in Momo application based on spatio-temporal behavior and static attribute analysis
Published 2024-08-01“…Momo, a popular mobile social application, has attracted a significant number of malicious users engaged in illegal online activities such as fraud, online gambling, and illegal lending. The detection of these malicious users is of great importance. …”
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70
Optimizing Prenuptial Agreements for Asset Protection: A Maqashid Sharia Based Approach
Published 2024-09-01“…The high divorce rates in Indonesia, mainly due to online gambling, highlight the vulnerability of asset protection at the beginning of marriage and underscore the importance of prenuptial agreements (PNAs). …”
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71
Loewenstein Occupational Therapy Cognitive Assessment to Evaluate People with Addictions
Published 2017-01-01“…The LOTCA, along with a battery of neuropsychological tests, was administered to a sample of 48 subjects who start a treatment by substance or gambling addictions. Findings. A correlational pattern was observed of a considerable magnitude between the effects of the LOTCA scales and those of some neuropsychological tests, but not with others. …”
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72
Impulsive-Compulsive Behaviours in Belgian-Flemish Parkinson’s Disease Patients: A Questionnaire-Based Study
Published 2019-01-01“…In 15 patients (17%), a positive QUIP score for one or more impulse control disorders (ICD) was noted: pathological gambling in 1, hypersexuality in 8, compulsive shopping in 5, and compulsive eating in 8 patients. …”
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73
Apathy and Emotion-Based Decision-Making in Amnesic Mild Cognitive Impairment and Alzheimer’s Disease
Published 2014-01-01“…All participants completed the Lille apathy rating scale (LARS) and the Iowa gambling task (IGT). Results. Both aMCI and AD participants had reduced performances on the IGT and were more apathetic compared to controls without any difference between aMCI and AD groups. …”
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74
Exploring the rise and diversity of health and societal issues that use a public health approach: A scoping review and narrative synthesis.
Published 2024-01-01“…We purposively selected four of these categories; adverse childhood experiences; end of life care; gambling addiction and violence reduction/ knife crime for further analysis of the approach including how it was conceptualised and operationalised; less than 13% of the studies described the implementation of a public health approach and there was considerable heterogeneity across and within categories as to how this was done. …”
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75
Spreading Social Influence with both Positive and Negative Opinions in Online Networks
Published 2019-06-01“…Motivated by the goal of alleviating social problems, such as drinking, smoking, and gambling, and influence-spreading problems, such as promoting new products, we consider positive and negative influences, and propose a new optimization problem called the Minimum-sized Positive Influential Node Set (MPINS) selection problem to identify the minimum set of influential nodes such that every node in the network can be positively influenced by these selected nodes with no less than a threshold of θ. …”
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76
Exploring mental health symptoms in elite athletes during the COVID-19 pandemic: A systematic review and meta-analysis on sex differences.
Published 2025-01-01“…Limited evidence was available for eating disorders, gambling, substance use, and sleep problems. In conclusion, female and male athletes differed in mental health symptoms during the COVID-19 pandemic. …”
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77
Fatigue State Evaluation of Urban Railway Transit Drivers Using Psychological, Biological, and Physical Response Signals
Published 2025-01-01“…Specifically, we applied statistical analytics on self-reported fatigue feelings, the Mackworth Clock Task, the Stroop Test, and the Iowa Gambling Task to evaluate the impact of fatigue on driver performance. …”
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Associations between HEXACO personality traits, substance use disorders, and behavioral addictions: a protocol for a comprehensive systematic review and meta-analysis
Published 2025-01-01“…., narcotics and cannabis) and behavioral addictions (e.g., gambling, gaming, social media addiction, and compulsive sexual behavior disorder) across different populations. …”
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79
Social Cognition in Patients with Early-Onset Parkinson’s Disease
Published 2021-01-01“…Differences remained significant after adjusting for Montreal Cognitive Assessment (MoCA) test scores for all SC subtests except the decision-making scale and the Iowa gambling task. No significant correlations between SC and other clinical PD variables were found. …”
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80
Impulsivity, Sensation Seeking, and Risk-Taking Behaviors among HIV-Positive and HIV-Negative Heroin Dependent Persons
Published 2016-01-01“…Data collection tools included Balloon Analogue Risk Task (BART), Iowa Gambling Task (IGT), Barratt Impulsiveness Scale (BIS), and Zuckerman Sensation Seeking Scale (SSS). …”
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