Panel needed to combat research fraud.
Ontology highlight
ABSTRACT:
SUBMITTER: Christie B
PROVIDER: S-EPMC1117015 | biostudies-literature | 1999 Nov
REPOSITORIES: biostudies-literature
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Project description:Ensuring safe and healthy food is a big challenge due to the complexity of food supply chains and their vulnerability to many internal and external factors, including food fraud. Recent research has shown that Artificial Intelligence (AI) based algorithms, in particularly data driven Bayesian Network (BN) models, are very suitable as a tool to predict future food fraud and hence allowing food producers to take proper actions to avoid that such problems occur. Such models become even more powerful when data can be used from all actors in the supply chain, but data sharing is hampered by different interests, data security and data privacy. Federated learning (FL) may circumvent these issues as demonstrated in various areas of the life sciences. In this research, we demonstrate the potential of the FL technology for food fraud using a data driven BN, integrating data from different data owners without the data leaving the database of the data owners. To this end, a framework was constructed consisting of three geographically different data stations hosting different datasets on food fraud. Using this framework, a BN algorithm was implemented that was trained on the data of different data stations while the data remained at its physical location abiding by privacy principles. We demonstrated the applicability of the federated BN in food fraud and anticipate that such framework may support stakeholders in the food supply chain for better decision-making regarding food fraud control while still preserving the privacy and confidentiality nature of these data.
| S-EPMC10474077 | biostudies-literature
Project description: Not available
| S-EPMC1117303 | biostudies-literature
Project description: Not available
| S-EPMC1181273 | biostudies-literature
Project description:Manuscript Title: Discovery of tissue-specific exons using comprehensive human exon microarrays We have designed a high-density oligonucleotide microarray with probesets for more than one million annotated and predicted exons in the human genome. Using these arrays and a simple algorithm that normalizes exon signal to signal from the gene as a whole, we have identified tissue-specific exons from a panel of 16 different normal adult tissues. Pair-wise comparisons between the tissues suggest that 75% of detected genes are differentially alternatively spliced. We also demonstrate how an inclusive exon microarray can be used to discover novel alternative splicing events. As examples, 15 new tissue-specific exons from 9 genes were validated by RT-PCR and sequencing. Keywords: exon analysis
2007-01-01 | GSE5791 | GEO
Project description:Online studies enable researchers to recruit large, diverse samples, but the nature of these studies provides an opportunity for applicants to misrepresent themselves to increase the likelihood of meeting eligibility criteria for a trial, particularly those that provide financial incentives. This study describes rates of fraudulent applications to an online intervention trial of an Internet intervention for insomnia among older adults (ages ≥55). Applicants were recruited using traditional (e.g., flyers, health providers), online (e.g., Craigslist, Internet searches), and social media (e.g., Facebook) recruitment methods. Applicants first submitted an interest form that included identifying information (name, date of birth, address). This data was then queried against a national database (TransUnion's TLOxp) to determine the application's verification status. Applications were determined to be verified (i.e., information from interest form matched TLOxp report), potentially fraudulent (i.e., potential discrepancy in provided information on interest form versus TLOxp report), or fraudulent (i.e., confirmed discrepancy). Of 1766 total interest forms received, 125 (7.08%) were determined to be fraudulent. Enrollment attempts that were fraudulent were detected among 12.22% of applicants who reported learning of the study through online, 7.04% through social media, 4.58% through traditional, and 4.27% through other methods. Researchers conducting online trials should take precautions, as applicants may provide fraudulent information to gain access to their studies. Reviewing all applications and verifying the identities and eligibility of participants is critical to the integrity of online research trials.
| S-EPMC8164029 | biostudies-literature
Project description:BackgroundElder mistreatment is common and has serious social and medical consequences for victims. Though programs to combat this mistreatment have been developed and implemented for more than three decades, previous systematic literature reviews have found few successful ones.ObjectiveTo conduct a more comprehensive examination of programs to improve elder mistreatment identification, intervention, or prevention, including those that had not undergone evaluation.DesignSystematic review.SettingOvid MEDLINE, Ovid EMBASE, Cochrane Library, PsycINFO Elton B. Stephens Co. (EBSCO), AgeLine, CINAHL.MeasurementsWe abstracted key information about each program and categorized programs into 14 types and 9 subtypes. For programs that reported an impact evaluation, we systematically assessed the study quality. We also systematically examined the potential for programs to be successfully implemented in environments with limited resources available.ResultsWe found 116 articles describing 115 elder mistreatment programs. Of these articles, 43% focused on improving prevention, 50% focused on identification, and 95% focused on intervention, with 66% having multiple foci. The most common types of program were: educational (53%), multidisciplinary team (MDT) (21%), psychoeducation/therapy/counseling (15%), and legal services/support (8%). Of the programs, 13% integrated an acute-care hospital, 43% had high potential to work in low-resource environments, and 57% reported an attempt to evaluate program impact, but only 2% used a high-quality study design.ConclusionMany programs to combat elder mistreatment have been developed and implemented, with the majority focusing on education and MDT development. Though more than half reported evaluation of program impact, few used high-quality study design. Many have the potential to work in low-resource environments. Acute-care hospitals were infrequently integrated into programs.
| S-EPMC6561817 | biostudies-literature
Project description:BackgroundDespite 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. We aimed to identify, categorize and assess the effectiveness of the interventions to combat health care fraud and abuse.MethodsThe interventions to combat health care fraud can be categorized as the interventions for 'prevention' and 'detection' of fraud, and 'response' to fraud. We conducted sensitive search strategies on Embase, CINAHL, and PsycINFO from 1975 to 2008, and Medline from 1975-2010, and on relevant professional and organizational websites. Articles assessing the effectiveness of any intervention to combat health care fraud were eligible for inclusion in our review. We considered including the interventional studies with or without a concurrent control group. Two authors assessed the studies for inclusion, and appraised the quality of the included studies. As a limited number of studies were found, we analyzed the data using narrative synthesis.FindingsThe searches retrieved 2229 titles, of which 221 full-text studies were assessed. We found no studies using an RCT design. Only four original articles (from the US and Taiwan) were included: two studies within the detection category, one in the response category, one under the detection and response categories, and no studies under the prevention category. The findings suggest that data-mining may improve fraud detection, and legal interventions as well as investment in anti-fraud activities may reduce fraud.DiscussionOur analysis shows a lack of evidence of effect of the interventions to combat health care fraud. Further studies using robust research methodologies are required in all aspects of dealing with health care fraud and abuse, assessing the effectiveness and cost-effectiveness of methods to prevent, detect, and respond to fraud in health care.
| S-EPMC3427314 | biostudies-literature
Project description:This introductory article frames our special issue in terms of how historicizing research integrity and fraud can benefit current discussions of scientific conduct and the need to improve public trust in science.
| S-EPMC7731644 | biostudies-literature
Project description:Expression profiling of a panel of metastatic melanoma cell lines
2013-02-01 | E-MTAB-1496 | biostudies-arrayexpress
Project description:Despite the considerable amount of research devoted to understanding fraud, few studies have examined how the physical environment can influence the likelihood of committing fraud. One recent study found a link between room brightness and occurrence of human fraud behaviors. Therefore, the present study aims to investigate how temperature may affect fraud. Based on a power analysis using the effect size observed in a pilot study, we recruited 105 participants and randomly divided them into three temperature groups (warm, medium, and cool). We then counted fraud behaviors in each group and tested for potential significant differences with a Kruskal-Wallis test. Additionally, we used a correlation analysis to determine whether the perceived temperature affected fraud. As a result, regardless of participants' subjective sensory experience or their physical environment, we did not find that temperature-related factors influence the incidence of fraud. We discussed the potential reason for the results and suggested directions for future research.
| S-EPMC7677414 | biostudies-literature