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Fraude
26
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561“…Firstly, all the tools uncover anomalous statistical patterns, which are consistent with election fraud from 2004 onwards. Although our results are not a concluding proof of fraud, they signal the Recall Referendum as a turning point in the integrity of the Venezuelan elections. …”
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562por Sommersguter-Reichmann, Margit, Wild, Claudia, Stepan, Adolf, Reichmann, Gerhard, Fried, Andrea“…Estimates from the European Healthcare Fraud and Corruption Network calculate an approximate €56 billion annual loss to Europe as a result of corruption. …”
Publicado 2018
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563por Pennisi, Francesco, Giraudo, Alessandro, Cavallini, Nicola, Esposito, Giovanna, Merlo, Gabriele, Geobaldo, Francesco, Acutis, Pier Luigi, Pezzolato, Marzia, Savorani, Francesco, Bozzetta, Elena“…The sale of frozen–thawed fish and fish products, labeled as fresh, is currently one of the most common and insidious commercial food frauds. For this reason, the demand of reliable tools to identify the storage conditions is increasing. …”
Publicado 2021
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564por Cai, Zhendong, Zhong, Guowei, Liu, Qianqian, Yang, Xingqiao, Zhang, Xiaoxia, Zhou, Song, Zeng, Xiaoqun, Wu, Zhen, Pan, Daodong“…Frequent meat frauds have aroused significant social attention. …”
Publicado 2022
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565“…Rice fraud is one of the common threats to the rice industry. …”
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566“…Existing research focuses on how voter ID laws affect voter turnout and fraud. But the extent to which they produce observable electoral benefits for Republican candidates and/or penalize Democrats remains an open question. …”
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567por González-Domínguez, Raúl, Sayago, Ana, Morales, María Teresa, Fernández-Recamales, Ángeles“…The adulteration of virgin olive oil with hazelnut oil is a common fraud in the food industry, which makes mandatory the development of accurate methods to guarantee the authenticity and traceability of virgin olive oil. …”
Publicado 2019
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568“…Here we present a machine learning methodology for identifying polling places at risk of election fraud and estimating the extent of potential electoral manipulation, using synthetic training data. …”
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569
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572por Jakobsson, Markus“…Fraud poses a significant threat to the Internet. 1.5% of all online advertisements attempt to spread malware. …”
Publicado 2012
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573por Bhattacharyya, Dhruba Kumar“…Finding these anomalies has extensive applications in areas such as cyber security, credit card and insurance fraud detection, and military surveillance for enemy activities. …”
Publicado 2013
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574“…The considerations are based on experience gained in real-life projects concerning, e.g., medical diagnosis and therapy support, control of an unmanned helicopter, fraud detection algorithmic trading or fire commander decision support.…”
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575por Mascolo, Celestina, Ceruso, Marina, Palma, Giuseppe, Anastasio, Aniello, Pepe, Tiziana, Sordino, Paolo“…The Pink dentex (Dentex gibbosus, Rafinesque 1810) is one of the most commercially important Sparidae species and it is often subjected to fraud. Here, we report the complete mitochondrial genome of D. gibbosus. …”
Publicado 2018
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576Recalibrating the anti-corruption, transparency, and accountability formula to advance public health“…We fill a documented gap in guidance on how to develop anti-corruption mechanisms by walking through the seven analytical steps of the Fraud Risk Assessment methodology as applicable to health programs. …”
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577por Vian, Taryn“…Results: Corruption, or the abuse of power for private gain, in health systems includes bribes and kickbacks, embezzlement, fraud, political influence/nepotism and informal payments, among other behaviors. …”
Publicado 2020
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578“…Blockchain technology can solve the problems in the current supply chain finance business, such as incorrect information between banks and enterprises, lack of visibility in transaction process, and possible joint fraud in the core enterprise model. However, it still has problems such as inconvenient information verification, data fraud, and difficulty to achieve a balance between efficiency, security and cost. …”
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579“…The scandals in publicly listed companies have highlighted the large losses that can result from financial statement fraud and weak corporate governance. Machine learning techniques have been applied to automatically detect financial statement fraud with great success. …”
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580“…At this point and at these ages, the risk of cyber fraud is even greater. The transition from the physical environment to the Internet took place quickly without the appropriate time to control potential risks and the proper information and training of teachers and students. …”
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