Displaying all 14 publications

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  1. Fulltext Clone journals: a threat to medical research
    Asim Z, Sorooshian S
    Sao Paulo Med J, 2019;137(6):550-551.
    PMID: 31939492 DOI: 10.1590/1516-3180.2018.0370160919
    Matched MeSH terms: Fraud/prevention & control
  2. Fulltext The performance of expectation maximization (EM) Algorithm in Gaussian Mixed Models (GMM)
    Mohd. Izhan Mohd. Yusoff, Mohd. Rizam Abu Bakar, Abu Hassan Shaari Mohd. Nor
    Pertanika Journal of Science & Technology, 2009;17(2):-.
    MyJurnal
    Expectation Maximization (EM) algorithm has experienced a significant increase in terms of usage in many fields of study. In this paper, the performance of the said algorithm in finding the Maximum Likelihood for the Gaussian Mixed Models (GMM), a probabilistic model normally used in fraud detection and recognizing a person’s voice in speech recognition field, is shown and discussed. At the end of the paper, some suggestions for future research works will also be given.
    Matched MeSH terms: Fraud
  3. Fulltext A Novel Feature-Engineered-NGBoost Machine-Learning Framework for Fraud Detection in Electric Power Consumption Data
    Hussain S, Mustafa MW, Al-Shqeerat KHA, Saeed F, Al-Rimy BAS
    Sensors (Basel), 2021 Dec 17;21(24).
    PMID: 34960516 DOI: 10.3390/s21248423
    This study presents a novel feature-engineered-natural gradient descent ensemble-boosting (NGBoost) machine-learning framework for detecting fraud in power consumption data. The proposed framework was sequentially executed in three stages: data pre-processing, feature engineering, and model evaluation. It utilized the random forest algorithm-based imputation technique initially to impute the missing data entries in the acquired smart meter dataset. In the second phase, the majority weighted minority oversampling technique (MWMOTE) algorithm was used to avoid an unequal distribution of data samples among different classes. The time-series feature-extraction library and whale optimization algorithm were utilized to extract and select the most relevant features from the kWh reading of consumers. Once the most relevant features were acquired, the model training and testing process was initiated by using the NGBoost algorithm to classify the consumers into two distinct categories ("Healthy" and "Theft"). Finally, each input feature's impact (positive or negative) in predicting the target variable was recognized with the tree SHAP additive-explanations algorithm. The proposed framework achieved an accuracy of 93%, recall of 91%, and precision of 95%, which was greater than all the competing models, and thus validated its efficacy and significance in the studied field of research.
    Matched MeSH terms: Fraud
  4. Drug promotion and labeling in developing countries: an update
    Lee PR, Lurie P, Silverman MM, Lydecker M
    J Clin Epidemiol, 1991;44 Suppl 2:49S-55S.
    PMID: 2045842
    Recent studies of drug promotion and labeling in Third World countries since 1972 have observed important changes in the policies of multinational corporations. Earlier studies found that multinational and national drug companies often grossly exaggerated the indications for the drugs and minimized or ignored the hazards. In the latest study, initiated in 1987, considerable improvement in promotional practices of the multinational corporations has been found, but little or no improvement on the part of the national companies. As a result, physicians are still provided with grossly exaggerated claims and the hazards of prescription drugs are covered up or glossed over. A very serious problem--the marketing of fraudulent drug products--has been identified in a number of Third World countries. Drug products are shaped and colored to resemble the original multinational company product, but contain only a small percentage of the active ingredient stated on the label, or perhaps none at all. In Indonesia fraudulent drug products may represent 20-30% of all drug products in the market. Similar fraudulent products have been reported in Brazil, Thailand, Bangladesh and Malaysia.
    Matched MeSH terms: Fraud*
  5. Fulltext SMARTbot: A Behavioral Analysis Framework Augmented with Machine Learning to Identify Mobile Botnet Applications
    Karim A, Salleh R, Khan MK
    PLoS One, 2016;11(3):e0150077.
    PMID: 26978523 DOI: 10.1371/journal.pone.0150077
    Botnet phenomenon in smartphones is evolving with the proliferation in mobile phone technologies after leaving imperative impact on personal computers. It refers to the network of computers, laptops, mobile devices or tablets which is remotely controlled by the cybercriminals to initiate various distributed coordinated attacks including spam emails, ad-click fraud, Bitcoin mining, Distributed Denial of Service (DDoS), disseminating other malwares and much more. Likewise traditional PC based botnet, Mobile botnets have the same operational impact except the target audience is particular to smartphone users. Therefore, it is import to uncover this security issue prior to its widespread adaptation. We propose SMARTbot, a novel dynamic analysis framework augmented with machine learning techniques to automatically detect botnet binaries from malicious corpus. SMARTbot is a component based off-device behavioral analysis framework which can generate mobile botnet learning model by inducing Artificial Neural Networks' back-propagation method. Moreover, this framework can detect mobile botnet binaries with remarkable accuracy even in case of obfuscated program code. The results conclude that, a classifier model based on simple logistic regression outperform other machine learning classifier for botnet apps' detection, i.e 99.49% accuracy is achieved. Further, from manual inspection of botnet dataset we have extracted interesting trends in those applications. As an outcome of this research, a mobile botnet dataset is devised which will become the benchmark for future studies.
    Matched MeSH terms: Fraud
  6. Fulltext A Review of Gelatin Source Authentication Methods
    Hameed AM, Asiyanbi-H T, Idris M, Fadzillah N, Mirghani MES
    Trop Life Sci Res, 2018 Jul;29(2):213-227.
    PMID: 30112151 MyJurnal DOI: 10.21315/tlsr2018.29.2.15
    Gelatin is a very popular pharmaceutical and food ingredient and the most studied ingredient in Halal researches. Interest in source gelatin authentication is based on religious and cultural beliefs, food fraud prevention and health issues. Seven gelatin authentication methods that have been developed include: nucleic acid based, immunochemical, electrophoretic analysis, spectroscopic, mass-spectrometric, chromatographic-chemometric and chemisorption methods. These methods are time consuming, and require capital intensive equipment with huge running cost. Reliability of gelatin authentication methods is challenged mostly by transformation of gelatin during processing and close similarities among gelatin structures. This review concisely presents findings and challenges in this research area and suggests needs for more researches on development of rapid authentication method and process-transformed gelatins.
    Matched MeSH terms: Fraud
  7. A suitable method to detect potential fraud of bringing Malayan box turtle (Cuora amboinensis) meat into the food chain
    Ali ME, Asing, Hamid SB, Razzak MA, Rashid NR, Al Amin M, et al.
    Food Addit Contam Part A Chem Anal Control Expo Risk Assess, 2015;32(8):1223-33.
    PMID: 26062948 DOI: 10.1080/19440049.2015.1058535
    Malayan box turtle (Cuora amboinensis) has been a wildlife-protected vulnerable turtle species in Malaysia since 2005. However, because of its purported usage in traditional medicine, tonic foods and feeds, clandestine black market trade is rampant. Several polymerase chain reaction (PCR) assays for the taxonomic detection and classification of turtle species have been proposed. These assays are based on long-length target amplicons which are assumed to break down under compromised states and, hence, might not be suitable for the forensic tracing and tracking of turtle trafficking. For the first time this paper develops a very short-amplicon-length PCR assay (120 bp) for the detection of Malayan box turtle meat in raw, processed and mixed matrices, and experimental evidence is produced that such an assay is not only more stable and reliable but also more sensitive than those previously published. We checked the assay specificity against 20 different species and no cross-species detection was observed. The possibility of any false-negative detection was eliminated by a universal endogenous control for eukaryotes. The assay detection limit was 0.0001 ng of box turtle DNA from pure meat and 0.01% turtle meat in binary and ternary admixtures and commercial meatballs. Superior target stability and sensitivity under extreme treatments of boiling, autoclaving and microwave cooking suggested that this newly developed assay would be suitable for any forensic and/or archaeological identification of Malayan box turtle species, even in severely degraded specimens. Further, in silico studies indicated that the assay has the potential to be used as a universal probe for the detection of nine Cuora species, all of which are critically endangered.
    Matched MeSH terms: Fraud*
  8. A suitable method for the detection of a potential fraud of bringing macaque monkey meat into the food chain
    Rashid NR, Ali ME, Hamid SB, Rahman MM, Razzak MA, Asing, et al.
    Food Addit Contam Part A Chem Anal Control Expo Risk Assess, 2015;32(7):1013-22.
    PMID: 25906074 DOI: 10.1080/19440049.2015.1039073
    Being the third-largest primate population has not made macaque (Macaca fascicularis sp.) monkeys less exposed to threats and dangers. Despite wildlife protection, they have been widely hunted and consumed in several countries because of their purported nutritional values. In addition to trading as pure bush meats in several places, monkey meat has been sold in meatball and soup products in Indonesia. Thus the possibility of macaque meat trafficking under the label of common meats is quite high. This paper reports the development of a polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) assay with the shortest amplicon length for the confirmed detection of monkey meat under compromised states which are known to degrade DNA. We amplified a 120-bp region of d-loop gene using a pair of macaque-specific primers and confirmed their specificity for the target species through cross-challenging against 17 different species using a 141-bp site of an 18 S rRNA gene as an endogenous control for eukaryotes. This eliminated the possibilities of any false-negative detection with complex matrices or degraded specimens. The detection limit was 0.00001 ng DNA in a pure state and 0.1% of meat in mixed matrices and commercial meatball products. RFLP analysis further authenticated the originality of the PCR product and distinctive restriction patterns were found upon AluI and CViKI-1 digestion. A micro-fluidic lab-on-a-chip automated electrophoretic system separated the fragments with high resolution. The assay was validated for screening commercial meatball products with sufficient internal control.
    Matched MeSH terms: Fraud*
  9. Fulltext MUSLIM TRAVELLERS’ PERCEPTION ON QUALITY OF SERVICE BY UMRAH AND HAJJ TRAVEL AGENCIES IN MALAYSIA
    AINATUN NABIHAH MOHD SHUKRI, AZIZUL YADI YAAKOP, KALSITINOOR SET
    UMT Journal of Undergraduate Research, 2019;1(1):18-23.
    MyJurnal
    Millions of Muslims from all over the world perform Umrah and Hajj every year. There were 250,000 pilgrims from Malaysia in 2017, and the number is expected to grow by 20 percent in 2018. This projected increase will create a huge demand for Umrah and Hajj travel agencies’ services in Malaysia. At present, there are 328 Umrah and Hajj travel agencies registered under Malaysia’s Ministry of Tourism and Culture (MOTAC). However, the supposedly bright outlook maybe marred by undesirable consequences. Along with the increase in the number of Umrah and Hajj travel agencies, there also tends to be an increase in fraud Umrah packages offered by fake agents in Malaysia. Such incidents will cause sadness and anger in the victims and other involved parties. Umrah package fraud involving fake agents in Malaysia has attracted the attention of many including the public, the government, the private sector, even the media. Nevertheless, studies on correlation between Muslim travellers’ perception of the quality of service by Umrah travel agencies and their decision to purchase the Umrah package are scarce in Malaysia. Hence, this study investigated Muslim travellers’ perception of Umrah and Hajj travel agencies’ service quality and its influence on their decision to purchase the Umrah package, in an attempt to discover why some Muslim travellers fell into fake agents’ trap in Malaysia. A total of 319 Muslim respondents completed the questionnaire on service quality perception, specifically service quality elements and loyalty. The data obtained was examined using SPSS version 25 for descriptive and regression analysis. Umrah and Hajj travel agencies as well as relevant government agencies could use the findings of the study to assist with formulating plans and policies to improve the quality of service by Umrah and Hajj industry players and awareness among Muslim travellers on the importance of being able to identify bogus agencies. The limitations, implications andsuggestions for future research are also discussed.
    Matched MeSH terms: Fraud
  10. Fulltext Scale validation for the identification of falsified hand sanitizer: public and regulatory authorities perspectives from United Arab Emirates
    Jairoun AA, Al-Hemyari SS, Shahwan M, El-Dahiyat F, Jamshed S
    BMC Public Health, 2020 Oct 22;20(1):1595.
    PMID: 33092568 DOI: 10.1186/s12889-020-09707-0
    BACKGROUND: Since the time of declaration of global pandemic of COVID-19 by World Health Organization (WHO), falsified hand sanitizers surfaced regularly in markets, posing possible harm to public due to unlisted inclusion of methanol. The current research is an attempt to develop and validate a tool to document falsified hand sanitizer in the UAE community.

    METHOD: A descriptive cross-sectional community-based study was conducted among 1280 randomly selected participants. Respondents were sent a web-based electronic link to the survey via email. Content validity, factor analyses and known group validity were used to develop and validate a new scale to identify falsified hand sanitizer. Test-retest reliability, internal consistency, item internal consistency (IIC), and intraclass correlation coefficients (ICCs) were used to assess the reliability of the scale. SPSS version 24 was used to conduct data analysis.

    RESULTS: A total of 1280 participants were enrolled in the study. The content validity index (CVI) was 0.83 with the final scale of 12 items. The Kaiser-Meyer-Olkin (KMO) value was 0.788, with the Bartlett test of sphericity achieving statistical significance (p 

    Matched MeSH terms: Fraud*
  11. The direct and indirect effects of corruption on motor vehicle crash deaths
    Hua LT, Noland RB, Evans AW
    Accid Anal Prev, 2010 Nov;42(6):1934-42.
    PMID: 20728645 DOI: 10.1016/j.aap.2010.05.015
    Recent empirical research has found that there is an inverted U-shaped or Kuznets relationship between income and motor vehicle crash (MVC) deaths, such that MVC deaths increase as national income increases and decrease after reaching a critical level. Corruption has been identified as one of the underlying factors that could affect this relationship, primarily by undermining institutional development and effective enforcement schemes. The total effect of corruption can be decomposed into two components, a direct and an indirect effect. The direct effect measures the immediate impact of corruption on MVC deaths by undermining effective enforcement and regulations, while the indirect effect captures the impact of corruption on hindering increases in per capita income and the consequent impact of reduced income on MVC deaths. By influencing economic growth, corruption can lead to an increase or decrease in MVC deaths depending on the income level. Using data from 60 countries between 1982 and 2003, these effects are estimated using linear panel and fixed effects negative binomial models. The estimation results suggest that corruption has different direct effects for less developed and highly developed countries. It has a negative (decreasing) effect on MVC deaths for less developed countries and a positive (increasing) effect on MVC deaths for highly developed countries. For highly developed countries, the total effect is positive at lower per capita income levels, but decreases with per capita income and becomes negative at per capita income levels of about US$ 38,248. For less developed countries, the total effect is negative within the sample range and decreases with increased per capita income. In summary, the results of this study suggest that reduction of corruption is likely a necessary condition to effectively tackle road safety problems.
    Matched MeSH terms: Fraud/statistics & numerical data*
  12. Identification of the species origin of commercially available processed food products by mitochondrial DNA analysis
    Chandrika, M., Maimunah, M., Zainon, M.N., Son, R.
    International Food Research Journal, 2010;17(4):867-876.
    MyJurnal
    Legislation concerning the safety assessment and labelling of foodstuffs has been implemented in many countries. Consequential to a number of cases of food adulteration reported globally, a fast and reliable detection method for the food traceability is required in ensuring effective implementation of food legislation in a country. In this study, PCR-RFLP technique based on cyt b gene has been tested for its suitability for these purposes. This method combines the use of a pair of universal primer that amplifies a 359 bp fragment on the cyt b gene from meat muscle DNA and restriction enzyme analysis. Analysis of experimental beef frankfurter, minced beef, pork frankfurter and pork cocktail samples demonstrated the suitability of the assay for the detection of the beef (Bos taurus) and pork (Sus scrofa), but not applicable for some processed food, particularly detection of mackerel (Rasterelliger brachysoma), sardine (Saedinella Fimbriata) and tuna (Thunnus tonggol) origin in canned food. Commercial frauds through species mislabelling or misdescribed were not detected. The assay is demonstrated applicable for routine analysis of meat traceability of foodstuffs and legislation purposes, if sufficient availability of detectable mtDNA in the foodstuffs is ensured.
    Matched MeSH terms: Fraud
  13. Post-disaster victimization: how survivors of disasters can continue to suffer after the event is over
    Phua KL
    New Solut, 2008;18(2):221-31.
    PMID: 18511398 DOI: 10.2190/NS.18.2.k
    When public health researchers study the health effects of disasters (whether "naturally-occurring," disasters due to failure of technology, or disasters due to terrorism), some aspects of the post-disaster situation of victims are often overlooked. Social science research has shown that the vast majority of people tend to behave altruistically during and after a disaster. Nevertheless, cases of victimization of survivors do occur. They can include post-disaster victimization of survivors by other individuals (including fellow survivors, opportunistic outsiders, and even unethical aid workers and rogue members of the police, armed forces or international organizations such as the United Nations), groups (such as organized criminal gangs) and institutions (through neglect, incompetence, bureaucratic inefficiency or through institutionalized discriminatory practices). In this article, various kinds of post-disaster victimization that can occur are discussed.
    Matched MeSH terms: Fraud
  14. Disease, disorder, or deception? Latah as habit in a Malay extended family
    Bartholomew RE
    J. Nerv. Ment. Dis., 1994 Jun;182(6):331-8; discussion 339-41.
    PMID: 8201305 DOI: 10.1097/00005053-199406000-00004
    Thirty-seven cases of latah are examined within the author's Malay extended family (N = 115). Based on ethnographic data collected and a literature review, cases are readily divisible into two broad categories: habitual (N = 33) and performance (N = 4). The first form represents an infrequent, culturally conditioned habit that is occasionally used as a learned coping strategy in the form of a cathartic stress response to sudden startle with limited secondary benefits (i.e., exhibiting brief verbal obscenity with impunity). In this sense, it is identical to Western swearing. Performers are engaged in conscious, ritualized social gain through the purported exploitation of a neurophysiological potential. The latter process is essentially irrelevant, akin to sneezing or yawning. It is concluded that latah is a social construction of Western-trained universalist scientists. The concept of malingering and fraud in anthropology is critically discussed.
    Matched MeSH terms: Fraud
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