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Fraude
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265A numeric-based machine learning design for detecting organized retail fraud in digital marketplaces“…Detecting and responding to these terrible acts as early as possible is critical for protecting consumers and businesses while also keeping an eye on rising patterns and fraud. The issue of detecting fraud in general has been studied widely, especially in financial services, but studies focusing on organized retail crimes are extremely rare in literature. …”
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266por Tharyan, Prathap“…The sanctity accorded to scientific research has been violated by numerous instances of research fraud, as well as deceptive and conflicted research that have seriously harmed people, subverted the evidence-base, wasted valuable resources, and undermined public trust. …”
Publicado 2012
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267“…BACKGROUND: Despite the importance of health care fraud and the political, legislative and administrative attentions paid to it, combating fraud remains a challenge to the health systems. …”
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268“…The article’s main finding is that high levels of electoral fraud are indeed linked to less satisfaction with democracy. …”
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269“…It is also important to recognise the potential legal repercussions and harms to the patients who have had their identities stolen. CONCLUSION: Identity fraud poses significant challenges to patient care, vigilance from clinicians and implementing strategies to reduce system error can help to limit harms to the patient and the health care system.…”
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270por Sarriá, Encarnación, Recio, Patricia, Rico, Ana, Díaz-Olalla, Manuel, Sanz-Barbero, Belén, Ayala, Alba, Zunzunegui, María Victoria“…Over the past few decades, the financial system has engaged in abusive practices that meet the definition of fraud. Our objective is to compare the prevalence of psychological distress and levels of health-related quality of life according to having been exposed to financial fraud and its economic impact on family finances. …”
Publicado 2019
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271por Chen, Jinshi“…From discursive psychological perspective, the present study applies conversation analysis to discuss fraudsters’ threatening language in Chinese cellphone fraud conversations. The authentic data are collected from Chinese media which report legal news or conduct public legal education on the battle against cellphone frauds. …”
Publicado 2020
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272“…This lack of patient participation introduces a risk of fraud and abuse. Blockchain technology enables secure data management with transparency, which could mitigate this risk of health care fraud and abuse. …”
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273“…With the continuous development and wide application of artificial intelligence technology, artificial neural network technology has begun to be used in the field of fraud identification. Among them, learning vector quantization (LVQ) neural network is the most widely used in the field of fraud identification, and the fraud identification rate is relatively high. …”
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274“…BACKGROUND: Healthcare fraud entails great financial and human losses; however, there is no consensus regarding its definition, nor is there an inventory of its manifestations and factors. …”
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275“…Food fraud not only exacerbates human public health risks but also threatens the business development of food and related industries. …”
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276“…The present study examined belief in false headlines about election fraud after the 2020 U.S. presidential election. …”
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277por Previti, Annalisa, Vicari, Domenico, Conte, Francesca, Pugliese, Michela, Gargano, Valeria, Alibrandi, Angela, Zirilli, Agata, Passantino, Annamaria“…Data show that the inspection activities have significantly improved in terms of sampling and fraud detection. However, a higher incidence of fraud involving the meat sector was observed. …”
Publicado 2022
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278“…The problem of fraud in China's health insurance has existed for a long time and is becoming more serious, which needs to be solved urgently. …”
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279“…We aimed to analyse the strategies and policies of academic integrity in the face of assessment fraud in postgraduate studies in Spain. To this end, we examined the three strategies most commonly used by higher education institutions to address and prevent dishonest behaviour among students: (1) the use of technological mechanisms to detect plagiarism and identity control on assessment tests; (2) regulatory devices and resources (academic regulations and codes of conduct); and (3) training and awareness-raising activities. …”
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280“…PURPOSE: To identify the factors that influence whistleblowing behavior as it relates to health care insurance fraud in Jiangsu Province, China. METHODS: To construct a factor model and formulate research hypotheses using the Motivation–Opportunity–Ability framework. …”
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