Displaying publications 61 - 66 of 66 in total

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  1. Noh, C.H.C., Azmin, N.F.M., Amid, A., Asnawi, A.L.
    MyJurnal
    Bioactive compounds are one of the natural products used especially for medicinal, pharmaceutical and food application. Increasing research performed on the extraction, isolation and identification of bioactive compounds, however non to date has explored on the identification of flavonoids classes. Therefore, this study was focused on the development of algorithm for rapid identification of flavonoids classes which are flavanone, flavone and flavonol and also their derivatives. Fourier Transform Infrared (FTIR) spectroscopy coupled with multivariate statistical data analysis, which is Principal Component Analysis (PCA) was utilized. The results exhibited that few significant wavenumber range provides the identification and characterization of the flavonoids classes based on PCA algorithm. The study concluded that FTIR coupled with PCA analysis can be used as a molecular fingerprint for rapid identification of flavonoids.
    Matched MeSH terms: Data Interpretation, Statistical
  2. Haerian BS, Roslan H, Raymond AA, Tan CT, Lim KS, Zulkifli SZ, et al.
    Seizure, 2010 Jul;19(6):339-46.
    PMID: 20605481 DOI: 10.1016/j.seizure.2010.05.004
    The C3435T, a major allelic variant of the ABCB1 gene, is proposed to play a crucial role in drug-resistance in epilepsy. The C/C genotype carriers reportedly are at higher risk of pharmacoresistance to AEDs, but only in some studies. The hypothesis of the C-variant associated risk and resistance to antiepileptic drugs (AEDs) has been hampered by conflicting results from inadequate power in case-control studies. To assess the role of C3435T polymorphism in drug-resistance in epilepsy, a systematic review and meta-analysis was conducted.
    Matched MeSH terms: Data Interpretation, Statistical
  3. Tan CS, Ting WS, Mohamad MS, Chan WH, Deris S, Shah ZA
    Biomed Res Int, 2014;2014:213656.
    PMID: 25250315 DOI: 10.1155/2014/213656
    When gene expression data are too large to be processed, they are transformed into a reduced representation set of genes. Transforming large-scale gene expression data into a set of genes is called feature extraction. If the genes extracted are carefully chosen, this gene set can extract the relevant information from the large-scale gene expression data, allowing further analysis by using this reduced representation instead of the full size data. In this paper, we review numerous software applications that can be used for feature extraction. The software reviewed is mainly for Principal Component Analysis (PCA), Independent Component Analysis (ICA), Partial Least Squares (PLS), and Local Linear Embedding (LLE). A summary and sources of the software are provided in the last section for each feature extraction method.
    Matched MeSH terms: Data Interpretation, Statistical*
  4. Lim YY, Prang KH, Cysique L, Pietrzak RH, Snyder PJ, Maruff P
    Behav Res Methods, 2009 Nov;41(4):1190-200.
    PMID: 19897828 DOI: 10.3758/BRM.41.4.1190
    Verbal memory tests-although important to the neuropsychological assessment of memory-are biased to many cultures. In the present article, we highlighted the limitations associated with the direct translation of tests and word matching, as well as the lack of ecological validity and cultural appropriateness when tests developed in one culture are used in another. To overcome these limitations, a verbal memory paradigm was developed that framed the memory assessment with a shopping-list format, but that developed culturally specific stimuli for the different language groups. The aim of the present study was to determine the equivalence of this shopping list memory test in different cultural and language groups. Eighty-three adults from English-, French-, Malay-, and Chinese-speaking cultures participated in four experiments. The results of all the experiments indicated that performance of verbal list learning is equivalent, irrespective of the language used. These results support the use of this methodology for minimizing cross-cultural test bias, and have important implications for testing culturally and linguistically diverse individuals.
    Matched MeSH terms: Data Interpretation, Statistical
  5. Mohd Suki N, Chwee Lian JC, Suki NM
    J Hosp Mark Public Relations, 2009;19(2):113-28.
    PMID: 19827322 DOI: 10.1080/15390940903041567
    In today's highly competitive health care environment, many private health care settings are now looking into customer service indicators to learn customers' perceptions and determine whether they are meeting customers' expectations in order to ensure that their customers are satisfied with the services. This research paper aims to investigate whether the human elements were more important than the nonhuman elements in private health care settings. We used the internationally renowned SERVQUAL five-dimension model plus three additional dimensions-courtesy, communication, and understanding of customers of the human element-when evaluating health care services. A total of 191 respondents from three private health care settings in the Klang Valley region of Malaysia were investigated. Descriptive statistics were calculated by the Statistical Package for Social Sciences (SPSS) computer program, version 15. Interestingly, the results suggested that customers nowadays have very high expectations especially when it comes to the treatment they are receiving. Overall, the research indicated that the human elements were more important than the nonhuman element in private health care settings. Hospital management should look further to improve on areas that have been highlighted. Implications for management practice and directions for future research are discussed.
    Matched MeSH terms: Data Interpretation, Statistical
  6. Hasali MA, Ibrahim MI, Sulaiman SA, Ahmad Z, Hasali JB
    Pharm World Sci, 2005 Jun;27(3):249-53.
    PMID: 16096896
    BACKGROUND: Pneumonia is one of the leading causes of morbidity and mortality among children in many developing countries. It is reported that 12.9 million children under 5 years of age died world-wide in 1990 and one-third of these deaths or 4.3 million annually were attributed to acute respiratory infection with pneumonia.

    OBJECTIVES: On this basis, a study was conducted in a district hospital to study the therapy outcomes of antibiotic regimens used in pediatric community-acquired pneumonia (CAP) management and to conduct a cost-effectiveness analysis (CE) between IV ampicillin versus combination therapy of IV ampicillin and IV gentamicin.

    METHOD: A prospective, randomized, controlled, single blind study was conducted in a pediatric ward in a 80-bed district hospital. Pediatric patients diagnosed with CAP aged 2 months to 5 years old were randomly and equally divided into two treatment arms: ampicillin versus ampicillin plus gentamicin. The dose of IV ampicillin used in this study was 100 mg/kg/day divided every 6 h and 5 mg/kg of IV gentamicin as a single daily dose. Both clinical and economic evaluations were carried out to compare both treatment arms.

    RESULTS: With the inclusion and exclusion criteria, only 40 patients diagnosed with CAP were included in the study. The results showed that the two treatment arms were significantly different (P < 0.05) in terms of duration of patients on ampicillin, number of days of hospitalization and time to switch to oral therapy. A significant difference was noted between the two treatment modalities in terms of effectiveness and cost (P < 0.05).

    CONCLUSION: Overall, the endpoint of this study showed that the total cost per patient of ampicillin-treated group is cheaper than the total cost with the combination therapy (ampicillin plus gentamicin) and reduced unnecessary exposure to adverse effects or toxicities. Besides that, addition of gentamicin in the treatment modalities will only increase the cost of treatment without introducing any changes in the treatment outcome.

    Matched MeSH terms: Data Interpretation, Statistical
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