Displaying publications 101 - 120 of 365 in total

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  1. Goh RY, Lee LS, Seow HV, Gopal K
    Entropy (Basel), 2020 Sep 04;22(9).
    PMID: 33286758 DOI: 10.3390/e22090989
    Credit scoring is an important tool used by financial institutions to correctly identify defaulters and non-defaulters. Support Vector Machines (SVM) and Random Forest (RF) are the Artificial Intelligence techniques that have been attracting interest due to their flexibility to account for various data patterns. Both are black-box models which are sensitive to hyperparameter settings. Feature selection can be performed on SVM to enable explanation with the reduced features, whereas feature importance computed by RF can be used for model explanation. The benefits of accuracy and interpretation allow for significant improvement in the area of credit risk and credit scoring. This paper proposes the use of Harmony Search (HS), to form a hybrid HS-SVM to perform feature selection and hyperparameter tuning simultaneously, and a hybrid HS-RF to tune the hyperparameters. A Modified HS (MHS) is also proposed with the main objective to achieve comparable results as the standard HS with a shorter computational time. MHS consists of four main modifications in the standard HS: (i) Elitism selection during memory consideration instead of random selection, (ii) dynamic exploration and exploitation operators in place of the original static operators, (iii) a self-adjusted bandwidth operator, and (iv) inclusion of additional termination criteria to reach faster convergence. Along with parallel computing, MHS effectively reduces the computational time of the proposed hybrid models. The proposed hybrid models are compared with standard statistical models across three different datasets commonly used in credit scoring studies. The computational results show that MHS-RF is most robust in terms of model performance, model explainability and computational time.
    Matched MeSH terms: Data Collection
  2. Khoo HT, Leow CH
    Talanta, 2021 Mar 01;224:121777.
    PMID: 33379011 DOI: 10.1016/j.talanta.2020.121777
    Fast and efficient separation remains a big challenge in high performance liquid chromatography (HPLC). The need for higher efficiency and resolution in separation is constantly in demand. To achieve that, columns developed are rapidly moving towards having smaller particle sizes and internal diameters (i.d.). However, these parameters will lead to high back-pressure in the system and will burden the pumps of the HPLC instrument. To address this limitation, monolithic columns, especially silica-based monolithic columns have been introduced. These columns are being widely investigated for fast and efficient separation of a wide range of molecules. The present article describes the current methods developed to enhance the column efficiency of particle packed columns and how silica monolithic columns can act as an alternative in overcoming the low permeability of particle packed columns. The fundamental processes behind the fabrication of the monolith including the starting materials and the silica sol-gel process will be discussed. Different monolith derivatization and end-capping processes will be further elaborated and followed by highlights of the performance such monolithic columns in key applications in different fields with various types of matrices.
    Matched MeSH terms: Data Collection
  3. Rahim MH, Dom NC, Ismail SNS, Mulud ZA, Abdullah S, Pradhan B
    One Health, 2021 Jun;12:100222.
    PMID: 33553566 DOI: 10.1016/j.onehlt.2021.100222
    This study has highlighted the trend of recently-reported dengue cases after the implementation of the Movement Control Orders (MCOs) caused due to COVID-19 pandemic in Malaysia. The researchers used the dengue surveillance data published by the Malaysian Ministry of Health during the 3 phases of MCO (which ranged between 17th March 2020 and 28th April 2020) was used for determining the cumulative number of dengue patients. Thereafter, the dengue cases were mapped using the Geographical Information System (GIS). The results indicated that during the 42 days of MCO in Peninsular Malaysia, 11,242 total cases of dengue were reported. The daily trend of the dengue cases showed a decrease from 7268 cases that occurred before the MCOs to 4662 dengue cases that occurred during the initial 14 days of the COVID-19 pandemic (i.e., MCO I), to 3075 cases occurring during the MCO II and 3505 dengue cases noted during MCO III. The central peninsular region showed a maximal decrease in new dengue cases (52.62%), followed by the northern peninsular region (1.89%); eastern coastal region (1.25%) and the southern peninsular region (1.14%) during the initial MCO implementation. However, an increase in the new dengue cases was noted during the MCO III period, wherein all states showed an increase in the new dengue cases as compared during MCO II. The decrease in the pattern was not solely based on the MCO, hence, further investigation is necessary after considering different influencing factors. These results have important implication for future large-scale risk assessment, planning and hazard mitigation on dengue management.
    Matched MeSH terms: Data Collection
  4. Muhammad Ilyas Ahmad Shuhairi, Hadzliana Zainal, Khoirulzariah Ismail
    MyJurnal
    This study aimed to review the availability of sugar-free medicine available in the market using the online Monthly Index of Medical Specialties (MIMS) Malaysia 2016. Data collection was obtained from product information (PI) for prescription medications contained in the MIMS Malaysia 2016. Concise information for each product was collected based on therapeutic class groupings. The therapeutic class obtained from PI was assigned to one of the 11 major therapeutic classes. PI that stated its use in paediatrics was further reviewed for the availability of sugar free ingredient. Each product was then allocated into the poison groups: Group B, Group C and Non-Scheduled Poison. A total of 282 PI items from 336 companies in MIMS Malaysia 2016 that satisfied our eligibility criteria were reviewed. Of the 282 PI items reviewed, most of the products, 169 (59.9%) were sugarbased product, while 87 (30.9%) of them belong to sugar free products. Our study found that most of the medicines reviewed in the MIMS Malaysia 2016 were under Group C (134 of total 282). There is still a high number of sugar-containing medicines despite the promotion of sugar-free medication. Therefore, consumers need to be educated on the use of sugar-free medicines in children to increase the demand and availability in the market.
    Matched MeSH terms: Data Collection
  5. Hashim Y
    J Nanosci Nanotechnol, 2018 Feb 01;18(2):1199-1201.
    PMID: 29448557 DOI: 10.1166/jnn.2018.13956
    This study explores optimization of resistance load (R-Load) of four silicon nanowire transistor (SiNWT)-based static random-access memory (SRAM) cell. Noise margins and inflection voltage of butterfly characteristics with static power consumption of SRAM cell are used as limiting factors in this optimization. Range of R-Load used in this study was 20-1000 KΩ with Vdd = 1 V. Results indicate that optimization depends critically on resistance load value. The optimized range of R-Load is 100-200 KΩ.
    Matched MeSH terms: Data Collection
  6. Nurita AT, Abu Hassan A, Nur Aida H
    Trop Biomed, 2008 Aug;25(2):145-53.
    PMID: 18948886 MyJurnal
    Three species composition surveys were conducted in a rural location in Kedah and an urban location in Pulau Pinang. Two of the surveys were conducted in November 2003, the first was at the Kedah site and the second was at the Pulau Pinang site. The third survey was conducted at the Pulau Pinang site again on the last week of April 2004. All these surveys were conducted one week prior to field evaluations of commercial chemical fly baits. The predominant species recovered from the surveys was the house fly, Musca domestica, which ranked first in prevalence in all three studies. Catches of Musca sorbens, Chrysoma megacephala and Lucillia cuprina were lower than M. domestica. Sarcophaga sp. was not present at the Kedah site and was only present at the Pulau Pinang site during the survey in April 2004. The other fly species present at the Kedah site were Megaselia sp., Psycoda sp., Piophila sp. and Fannia sp. These species were scarce and never exceeded 1% of the total catch.
    Matched MeSH terms: Data Collection
  7. Nejat P, Calautit JK, Majid MZ, Hughes BR, Jomehzadeh F
    Data Brief, 2016 Dec;9:252-6.
    PMID: 27660813 DOI: 10.1016/j.dib.2016.08.042
    This article presents the datasets which were the results of the study explained in the research paper 'Anti-short-circuit device: a new solution for short-circuiting in windcatcher and improvement of natural ventilation performance' (P. Nejat, J.K. Calautit, M.Z. Abd. Majid, B.R. Hughes, F. Jomehzadeh, 2016) [1] which introduces a new technique to reduce or prevent short-circuiting in a two-sided windcatcher and also lowers the indoor CO2 concentration and improve the ventilation distribution. Here, we provide details of the numerical modeling set-up and data collection method to facilitate reproducibility. The datasets includes indoor airflow, ventilation rates and CO2 concentration data at several points in the flow field. The CAD geometry of the windcatcher models are also included.
    Matched MeSH terms: Data Collection
  8. Mohammadi SH, Norazizan S, Nikkhah HA
    Qual Quant, 2018;52(4):1761-1778.
    PMID: 29937584 DOI: 10.1007/s11135-017-0565-9
    There is a growing consensus among citizens and members of local government that citizen participation is desirable for local government. However in practice, there are differing perceptions between them regarding the level and extent of citizen participation. As citizen participation is a multi faceted concept, its meaning is construed differently by both the members of local government and the citizen groups. This paper attempts to describe the conflicts that arise from participation. The paper is based on the study of the process of citizen participation in local government carried out in Torbat-Heydarieh city, Iran. A qualitative research method is seen as the most suitable approach of collecting and analyzing the data. The method employed for data collection in this research is in-depth interviews. In-depth interviews were conducted to gauge the existence of conflicts regarding participation. The findings reveal four areas that give rise to conflicts. This study also attempts to highlight two different views regarding citizen participation; the people-centered view and authority-centered view.
    Matched MeSH terms: Data Collection
  9. Sirunyan AM, Tumasyan A, Adam W, Ambrogi F, Asilar E, Bergauer T, et al.
    Phys Rev Lett, 2018 Jun 08;120(23):231801.
    PMID: 29932697 DOI: 10.1103/PhysRevLett.120.231801
    The observation of Higgs boson production in association with a top quark-antiquark pair is reported, based on a combined analysis of proton-proton collision data at center-of-mass energies of sqrt[s]=7, 8, and 13 TeV, corresponding to integrated luminosities of up to 5.1, 19.7, and 35.9  fb^{-1}, respectively. The data were collected with the CMS detector at the CERN LHC. The results of statistically independent searches for Higgs bosons produced in conjunction with a top quark-antiquark pair and decaying to pairs of W bosons, Z bosons, photons, τ leptons, or bottom quark jets are combined to maximize sensitivity. An excess of events is observed, with a significance of 5.2 standard deviations, over the expectation from the background-only hypothesis. The corresponding expected significance from the standard model for a Higgs boson mass of 125.09 GeV is 4.2 standard deviations. The combined best fit signal strength normalized to the standard model prediction is 1.26_{-0.26}^{+0.31}.
    Matched MeSH terms: Data Collection
  10. Aliteh NA, Minakata K, Tashiro K, Wakiwaka H, Kobayashi K, Nagata H, et al.
    Sensors (Basel), 2020 Jan 23;20(3).
    PMID: 31979252 DOI: 10.3390/s20030637
    Oil palm ripeness' main evaluation procedure is traditionally accomplished by human vision. However, the dependency on human evaluators to grade the ripeness of oil palm fresh fruit bunches (FFBs) by traditional means could lead to inaccuracy that can cause a reduction in oil palm fruit oil extraction rate (OER). This paper emphasizes the fruit battery method to distinguish oil palm fruit FFB ripeness stages by determining the value of load resistance voltage and its moisture content resolution. In addition, computer vision using a color feature is tested on the same samples to compare the accuracy score using support vector machine (SVM). The accuracy score results of the fruit battery, computer vision, and a combination of both methods' accuracy scores are evaluated and compared. When the ripe and unripe samples were tested for load resistance voltage ranging from 10 Ω to 10 kΩ, three resistance values were shortlisted and tested for moisture content resolution evaluation. A 1 kΩ load resistance showed the best moisture content resolution, and the results were used for accuracy score evaluation comparison with computer vision. From the results obtained, the accuracy scores for the combination method are the highest, followed by the fruit battery and computer vision methods.
    Matched MeSH terms: Data Collection
  11. Hossain MI, Faruque MRI, Islam MT, Ullah MH
    Materials (Basel), 2014 Dec 25;8(1):57-71.
    PMID: 28787924 DOI: 10.3390/ma8010057
    A new design and analysis of a wide-band double-negative metamaterial, considering a frequency range of 0.5 to 7 GHz, is presented in this paper. Four different unit cells with varying design parameters are analyzed to evaluate the effects of the unit-cell size on the resonance frequencies of the metamaterial. Moreover, open and interconnected 2 × 2 array structures of unit cells are analyzed. The finite-difference time-domain (FDTD) method, based on the Computer Simulation Technology (CST) Microwave Studio, is utilized in the majority of this investigation. The experimental portion of the study was performed in a semi-anechoic chamber. Good agreement is observed between the simulated and measured S parameters of the developed unit cell and array. The designed unit cell exhibits negative permittivity and permeability simultaneously at S-band (2.95 GHz to 4.00 GHz) microwave frequencies. In addition, the designed unit cell can also operate as a double-negative medium throughout the C band (4.00 GHz to 4.95 GHz and 5.00 GHz to 5.57 GHz). At a number of other frequencies, it exhibits a single negative value. The two array configurations cause a slight shift in the resonance frequencies of the metamaterial and hence lead to a slight shift of the single- and double-negative frequency ranges of the metamaterial.
    Matched MeSH terms: Data Collection
  12. Sirunyan AM, Tumasyan A, Adam W, Asilar E, Bergauer T, Brandstetter J, et al.
    Phys Rev Lett, 2017 Aug 25;119(8):082301.
    PMID: 28952777 DOI: 10.1103/PhysRevLett.119.082301
    The production of jets in association with Z bosons, reconstructed via the μ^{+}μ^{-} and e^{+}e^{-} decay channels, is studied in pp and, for the first time, in Pb-Pb collisions. Both data samples were collected by the CMS experiment at the LHC, at a nucleon-nucleon center-of-mass energy of 5.02 TeV. The Pb-Pb collisions were analyzed in the 0%-30% centrality range. The back-to-back azimuthal alignment was studied in both pp and Pb-Pb collisions for Z bosons with transverse momentum p_{T}^{Z}>60  GeV/c and a recoiling jet with p_{T}^{jet}>30  GeV/c. The p_{T} imbalance x_{jZ}=p_{T}^{jet}/p_{T}^{Z}, as well as the average number of jet partners per Z, R_{jZ}, was studied in intervals of p_{T}^{Z}. The R_{jZ} is found to be smaller in Pb-Pb than in pp collisions, which suggests that in Pb-Pb collisions a larger fraction of partons associated with the Z bosons fall below the 30  GeV/c p_{T}^{jet} threshold because they lose energy.
    Matched MeSH terms: Data Collection
  13. Alshami IH, Ahmad NA, Sahibuddin S, Firdaus F
    Sensors (Basel), 2017 Aug 05;17(8).
    PMID: 28783047 DOI: 10.3390/s17081789
    The Global Positioning System demonstrates the significance of Location Based Services but it cannot be used indoors due to the lack of line of sight between satellites and receivers. Indoor Positioning Systems are needed to provide indoor Location Based Services. Wireless LAN fingerprints are one of the best choices for Indoor Positioning Systems because of their low cost, and high accuracy, however they have many drawbacks: creating radio maps is time consuming, the radio maps will become outdated with any environmental change, different mobile devices read the received signal strength (RSS) differently, and peoples' presence in LOS between access points and mobile device affects the RSS. This research proposes a new Adaptive Indoor Positioning System model (called DIPS) based on: a dynamic radio map generator, RSS certainty technique and peoples' presence effect integration for dynamic and multi-floor environments. Dynamic in our context refers to the effects of people and device heterogeneity. DIPS can achieve 98% and 92% positioning accuracy for floor and room positioning, and it achieves 1.2 m for point positioning error. RSS certainty enhanced the positioning accuracy for floor and room for different mobile devices by 11% and 9%. Then by considering the peoples' presence effect, the error is reduced by 0.2 m. In comparison with other works, DIPS achieves better positioning without extra devices.
    Matched MeSH terms: Data Collection
  14. Lin GSS, Goh SM, Halil MHM
    Health Res Policy Syst, 2023 Sep 12;21(1):95.
    PMID: 37700266 DOI: 10.1186/s12961-023-01048-9
    BACKGROUND: The dental workforce plays a crucial role in delivering quality oral healthcare services, requiring continuous training and education to meet evolving professional demands. Understanding the impact of dental workforce training and education programmes on policy evolution is essential for refining existing policies, implementing evidence-based reforms and ensuring the growth of the dental profession. Therefore, this study protocol aims to assess the influence of dental workforce training and education programmes on policy evolution in Malaysia.

    METHODS: A mixed-method research design will be employed, combining quantitative surveys and qualitative interviews. Stakeholder theory and policy change models will form the theoretical framework of the study. Participants from various stakeholder groups will be recruited using purposive sampling. Data collection will involve surveys and one-on-one semi-structured interviews. Descriptive statistics, inferential analysis and thematic analysis will be used to analyse the data. Integration of quantitative and qualitative data will be used to provide a comprehensive understanding of the data.

    DISCUSSION: This study will shed light on factors influencing policy decisions related to dental education and workforce development in Malaysia. The findings will inform evidence-based decision-making, guide the enhancement of dental education programmes and improve the quality of oral healthcare services. Challenges related to participant recruitment and data collection should be considered, and the study's unique contribution to the existing body of knowledge in the Malaysian context will be discussed.

    Matched MeSH terms: Data Collection
  15. Md Zamri ASS, Saruddin MZ, Harun A, Abd Aziz SF, Aizad Za'bah AK, Dapari R, et al.
    PLoS One, 2023;18(6):e0287040.
    PMID: 37307252 DOI: 10.1371/journal.pone.0287040
    INTRODUCTION: Occupational asthma (OA) is a type of Work-Related Asthma characterised by variable airflow limitation and/or inflammation due to causes and conditions attributable to a particular occupational environment, and not to stimuli encountered outside the workplace. There is an increasing need to extend the depth of knowledge of OA to better manage this condition, especially among food industry workers who are affected by it.

    OBJECTIVE: This systematic review aimed to determine the factors associated with occupational asthma among food industry workers by electronically collecting articles from two databases (Medline and Scopus).

    METHODS: This systematic review was prepared in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta Analyses) updated guideline. Two independent reviewers screened the titles and abstracts of the collected data, which were then stored in Endnote20 based on the inclusion and exclusion criteria. The included articles have been critically appraised to assess the quality of the studies using the Mixed Methods Appraisal Tool (MMAT).

    RESULT: The search yielded 82 articles from Medline and 85 from SCOPUS, resulting in 167 unique hits. Only 22 articles have been included in the full-text assessment following a rigorous selection screening. Of the 22 articles identified, five were included in the final review. Several factors were found to have contributed to occupational asthma among food industry workers. They were classified into two categories: (1) work environment-related factors; and (2) individual factors.

    CONCLUSION: Several work environment and individual-related factors were found to be associated with OA among food industry workers. A better understanding of the development of the disease and its potential risk factors is needed because it can affect worker's quality of life. Pre-employment and periodic medical surveillance should be conducted to assess and detect any possible risk of developing occupational asthma among workers.

    Matched MeSH terms: Data Collection
  16. Kee PS, Karunanathie H, Maggo SDS, Kennedy MA, Chua EW
    Methods Mol Biol, 2023;2967:181-192.
    PMID: 37608112 DOI: 10.1007/978-1-0716-3358-8_15
    Polymerase chain reaction (PCR) is a laboratory technique used to amplify a targeted region of DNA, demarcated by a set of oligonucleotide primers. Long-range PCR is a form of PCR optimized to facilitate the amplification of large fragments. Using the adapted long-range PCR protocol described in this chapter, we were able to generate PCR products of 6.6, 7.2, 13, and 20 kb from human genomic DNA samples. For some of the long PCRs, successful amplification was not possible without the use of PCR enhancers. Thus, we also evaluated the impact of some enhancers on long-range PCR and included the findings as part of this updated chapter.
    Matched MeSH terms: Data Collection
  17. Ansari M, Ibrahim MI, Hassali MA, Shankar PR, Koirala A, Thapa NJ
    BMC Res Notes, 2012 Oct 24;5:576.
    PMID: 23095352 DOI: 10.1186/1756-0500-5-576
    BACKGROUND: In developing countries, mothers usually manage diarrhea at home with the pattern of management depending on perceived disease severity and beliefs. The study was carried out with the objective of determining mothers' beliefs and barriers about diarrhea and its management.

    METHODS: Qualitative methods involving two focus group discussions and eight in-depth interviews were used to collect the data. The study was conducted at the following places: Tankisinuwari, Kanchanbari and Pokhariya of Morang district, Nepal during the months of February and March 2010. Purposive sampling method was adopted to recruit twenty mothers based on the inclusion criteria. A semi-structured interview guide was used to conduct the interviews. Written informed consent was obtained from all of the participants before conducting the interviews. The interviews were moderated by the main researcher with the support of an expert observer from Nobel Medical College. The interviews were recorded with the permission of the participants and notes were written by a pre trained note-taker. The recordings were transcribed verbatim. All the transcribed data was categorized and analyzed using thematic content analysis.

    RESULTS: Twenty mothers participated in the interviews and most (80%) of them were not educated. About 75% of the mothers had a monthly income of up to 5000 Nepalese rupees (US$ 60.92). Although a majority of mothers believed diarrhea to be due to natural causes, there were also beliefs about supernatural origin of diarrhea. Thin watery diarrhea was considered as the most serious. There was diversity in mothers' beliefs about foods/fluids and diarrhea management approaches. Similarly, several barriers were noted regarding diarrhea prevention and/or management such as financial weakness, lack of awareness, absence of education, distance from healthcare facilities and senior family members at home. The elderly compelled the mothers to visit traditional healers.

    CONCLUSIONS: There were varied beliefs among the mothers about the types, causes and severity of diarrhea, classification of foods/fluids and beliefs and barriers about preventing or treating diarrhea.

    Matched MeSH terms: Data Collection/methods; Data Collection/statistics & numerical data
  18. Ebrahimiasl S, Zakaria A
    Sensors (Basel), 2014;14(2):2549-60.
    PMID: 24509767 DOI: 10.3390/s140202549
    A nanocrystalline SnO2 thin film was synthesized by a chemical bath method. The parameters affecting the energy band gap and surface morphology of the deposited SnO2 thin film were optimized using a semi-empirical method. Four parameters, including deposition time, pH, bath temperature and tin chloride (SnCl2·2H2O) concentration were optimized by a factorial method. The factorial used a Taguchi OA (TOA) design method to estimate certain interactions and obtain the actual responses. Statistical evidences in analysis of variance including high F-value (4,112.2 and 20.27), very low P-value (<0.012 and 0.0478), non-significant lack of fit, the determination coefficient (R2 equal to 0.978 and 0.977) and the adequate precision (170.96 and 12.57) validated the suggested model. The optima of the suggested model were verified in the laboratory and results were quite close to the predicted values, indicating that the model successfully simulated the optimum conditions of SnO2 thin film synthesis.
    Matched MeSH terms: Data Collection
  19. Wearn OR, Rowcliffe JM, Carbone C, Bernard H, Ewers RM
    PLoS One, 2013;8(11):e77598.
    PMID: 24223717 DOI: 10.1371/journal.pone.0077598
    The proliferation of camera-trapping studies has led to a spate of extensions in the known distributions of many wild cat species, not least in Borneo. However, we still do not have a clear picture of the spatial patterns of felid abundance in Southeast Asia, particularly with respect to the large areas of highly-disturbed habitat. An important obstacle to increasing the usefulness of camera trap data is the widespread practice of setting cameras at non-random locations. Non-random deployment interacts with non-random space-use by animals, causing biases in our inferences about relative abundance from detection frequencies alone. This may be a particular problem if surveys do not adequately sample the full range of habitat features present in a study region. Using camera-trapping records and incidental sightings from the Kalabakan Forest Reserve, Sabah, Malaysian Borneo, we aimed to assess the relative abundance of felid species in highly-disturbed forest, as well as investigate felid space-use and the potential for biases resulting from non-random sampling. Although the area has been intensively logged over three decades, it was found to still retain the full complement of Bornean felids, including the bay cat Pardofelis badia, a poorly known Bornean endemic. Camera-trapping using strictly random locations detected four of the five Bornean felid species and revealed inter- and intra-specific differences in space-use. We compare our results with an extensive dataset of >1,200 felid records from previous camera-trapping studies and show that the relative abundance of the bay cat, in particular, may have previously been underestimated due to the use of non-random survey locations. Further surveys for this species using random locations will be crucial in determining its conservation status. We advocate the more wide-spread use of random survey locations in future camera-trapping surveys in order to increase the robustness and generality of inferences that can be made.
    Matched MeSH terms: Data Collection
  20. Chan KW, Tan GH, Wong RC
    J Forensic Sci, 2013 Jan;58 Suppl 1:S199-207.
    PMID: 23013257 DOI: 10.1111/j.1556-4029.2012.02285.x
    Statistical validation is crucial for the clustering of unknown samples. This study aims to demonstrate how statistical techniques can be optimized using simulated heroin samples containing a range of analyte concentrations that are similar to those of the case samples. Eight simulated heroin distribution links consisting of 64 postcut samples were prepared by mixing one of two mixtures of paracetamol-caffeine-dextromethorphan at different proportions with eight precut samples. Analyte contents and compositional variation of the prepared samples were investigated. A number of data pretreatments were evaluated by associating the postcut samples with the corresponding precut samples using principal component analysis and discriminant analysis. Subsequently, combinations of seven linkage methods and five distance measures were explored using hierarchical cluster analysis. In this study, Ward-Manhattan showed better distinctions between unrelated links and was able to cluster all related samples in very close distance under the known links on a dendogram. A similar discriminative outcome was also achieved by 90 unknown case samples when clustered via Ward-Manhattan.
    Matched MeSH terms: Data Collection
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