Displaying publications 101 - 120 of 433 in total

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  1. Vijian K, Teo EG, Kanesen D, Wong ASH
    PMID: 32922934 DOI: 10.1186/s41016-020-0185-4
    Background: Globally, severe traumatic brain injury (TBI) has been the principal cause of mortality among individuals aged 45 and below. The incidence of road traffic accidents in Malaysia is one of the highest in the world with thousands of victims sustaining severe disabilities. The aim of this study is to determine the association between leucocytosis and extended Glasgow Outcome Scale (GOSE) scores as well the relationship of other factors and the outcomes of severe TBI.

    Methods: This was a retrospective observational study. A total of 44 consecutive patients who were admitted to Sarawak General Hospital from January 1, 2018, to September 30, 2018, with severe TBI were included. Data were collected from discharge summaries and hospital medical records. Chi-square and t test were used. SPSS was employed.

    Results: Of a total of 44 patients with severe TBI, 18 patients (41%) died during the same admission. The mean age of patients was 37.1 years with 93.2% of affected patients being male. 56.9% of patients presented with a Glasgow Coma Scale (GCS) of 6 and less. A large percentage (86.3%) were discharged with a GOSE of less than 7. Older age and low admission GCS (6 and less) were significantly associated with poor GOSE scores on discharge and after 6 months (p < 0.05) on multivariate analysis. Leucocytosis on admission was also associated with poor outcomes where patients with higher total white counts on presentation attaining lower GOSE scores (p < 0.05).

    Conclusion: We concluded that leucocytosis was significantly associated with poor outcomes in severe TBI patients in addition to other factors such as advanced age and poor GCS on arrival.

    Matched MeSH terms: Multivariate Analysis
  2. Lauridsen TK, Park L, Tong SY, Selton-Suty C, Peterson G, Cecchi E, et al.
    Circ Cardiovasc Imaging, 2015 Jul;8(7):e003397.
    PMID: 26162783 DOI: 10.1161/CIRCIMAGING.114.003397
    Staphylococcus aureus left-sided native valve infective endocarditis (LNVIE) has higher complication and mortality rates compared with endocarditis from other pathogens. Whether echocardiographic variables can predict prognosis in S aureus LNVIE is unknown.
    Matched MeSH terms: Multivariate Analysis
  3. Amin AM, Mostafa H, Arif NH, Abdul Kader MAS, Kah Hay Y
    Clin Chim Acta, 2019 Jun;493:112-122.
    PMID: 30826371 DOI: 10.1016/j.cca.2019.02.030
    BACKGROUND: Coronary artery disease (CAD) claims lives yearly. Nuclear magnetic resonance (1H NMR) metabolomics analysis is efficient in identifying metabolic biomarkers which lend credence to diagnosis. We aimed to identify CAD metabotypes and its implicated pathways using 1H NMR analysis.

    METHODS: We analysed plasma and urine samples of 50 stable CAD patients and 50 healthy controls using 1H NMR. Orthogonal partial least square discriminant analysis (OPLS-DA) followed by multivariate logistic regression (MVLR) models were developed to indicate the discriminating metabotypes. Metabolic pathway analysis was performed to identify the implicated pathways.

    RESULTS: Both plasma and urine OPLS-DA models had specificity, sensitivity and accuracy of 100%, 96% and 98%, respectively. Plasma MVLR model had specificity, sensitivity, accuracy and AUROC of 92%, 86%, 89% and 0.96, respectively. The MVLR model of urine had specificity, sensitivity, accuracy and AUROC of 90%, 80%, 85% and 0.92, respectively. 35 and 12 metabolites were identified in plasma and urine metabotypes, respectively. Metabolic pathway analysis revealed that urea cycle, aminoacyl-tRNA biosynthesis and synthesis and degradation of ketone bodies pathways were significantly disturbed in plasma, while methylhistidine metabolism and galactose metabolism pathways were significantly disturbed in urine. The enrichment over representation analysis against SNPs-associated-metabolite sets library revealed that 85 SNPs were significantly enriched in plasma metabotype.

    CONCLUSIONS: Cardiometabolic diseases, dysbiotic gut-microbiota and genetic variabilities are largely implicated in the pathogenesis of CAD.

    Matched MeSH terms: Multivariate Analysis
  4. Mubarak S, Yusoff NH, Adnan TH
    Clin Exp Reprod Med, 2019 Jun;46(2):87-94.
    PMID: 31181876 DOI: 10.5653/cerm.2019.46.2.87
    OBJECTIVE: The primary objective of this study was to compare clinical pregnancy rates in intrauterine insemination (IUI) treatment cycles with transabdominal ultrasound guidance during intrauterine catheter insemination (US-IUI) versus the "blind method" IUI without ultrasound guidance (BM-IUI). The secondary objective was to compare whether US-IUI had better patient tolerability and whether US-IUI made the insemination procedure easier for the clinician to perform compared to BM-IUI.

    METHODS: This was a randomized controlled trial done at the Reproductive Medicine Unit of General Hospital Kuala Lumpur, Malaysia. We included women aged between 25 and 40 years who underwent an IUI treatment cycle with follicle-stimulating hormone injections for controlled ovarian stimulation.

    RESULTS: A total of 130 patients were recruited for our study. The US-IUI group had 70 patients and the BM-IUI group had 60 patients. The clinical pregnancy rate was 10% in both groups (p> 0.995) and there were no significant difference between the groups for patient tolerability assessed by scores on a pain visual analog scale (p= 0.175) or level of difficulty for the clinician (p> 0.995). The multivariate analysis further showed no significant increase in the clinical pregnancy rate (adjusted odds ratio, 1.07; 95% confidence interval, 0.85-1.34; p= 0.558) in the US-IUI group compared to the BM-IUI group even after adjusting for potential covariates.

    CONCLUSION: The conventional blind method for intrauterine catheter insemination is recommended for patients undergoing IUI treatment. The use of ultrasound during the insemination procedure increased the need for trained personnel to perform ultrasonography and increased the cost, but added no extra benefits for patients or clinicians.

    Matched MeSH terms: Multivariate Analysis
  5. Tan PC, Aziz AZ, Ismail IS, Omar SZ
    Clin Biochem, 2012 Oct;45(15):1192-6.
    PMID: 22659058 DOI: 10.1016/j.clinbiochem.2012.05.025
    OBJECTIVES: To evaluate gamma-glutamyltransferase (GGT), alanine transaminases (ALT) and aspartate transaminases (AST) levels and prevalent gestational diabetes mellitus (GDM).
    DESIGN AND METHODS: Random plasma glucose, GGT, ALT and AST and the 50-g glucose challenge test were done on antenatal women followed by diagnostic 3-point 75-g oral glucose tolerance test within two weeks. GDM was diagnosed by ADA (2011) criteria.
    RESULTS: The GDM rate was 12.2% (319/2610). Mean GGT level was higher in GDM women, 18 ± 12 vs. 16 ± 11 IU/L; P=0.03. The risk for GDM was higher for women in the highest GGT quartile band compared to the lowest: RR 1.35 95%CI 1.0-1.8; P=0.04. However, after adjustment for confounders, GGT was no longer associated with GDM. There was no correlation between ALT and AST levels and GDM.
    CONCLUSIONS: Liver transaminases do not predict GDM in contrast to type 2 diabetes.
    Matched MeSH terms: Multivariate Analysis
  6. Tan PC, Tan NC, Omar SZ
    Clin Chem Lab Med, 2009;47(2):165-71.
    PMID: 19191722 DOI: 10.1515/CCLM.2009.041
    Serum human chorionic gonadotropin (hCG) and estradiol levels are higher in women with hyperemesis gravidarum (HG) than in unaffected pregnant controls. We postulated that higher levels of these hormones may be associated with clinically more severe HG. The aim of this study was to evaluate the effect of maternal hCG and estradiol levels on the severity of HG.
    Matched MeSH terms: Multivariate Analysis
  7. Ataie-Jafari A, Loke SC, Rahmat AB, Larijani B, Abbasi F, Leow MK, et al.
    Clin Nutr, 2013 Dec;32(6):911-7.
    PMID: 23395257 DOI: 10.1016/j.clnu.2013.01.012
    This participant-blinded parallel-group randomized placebo-controlled study demonstrated that alfacalcidol (vitamin D analogue) preserves beta cell function in newly diagnosed type 1 diabetes (T1DM) in children.
    Matched MeSH terms: Multivariate Analysis
  8. Nizam A, Naing L, Mokhtar N
    Clin Oral Investig, 2003 Dec;7(4):222-5.
    PMID: 14648258
    The aim of this study was to determine the age and sequence of eruption of permanent teeth, as well as gender differences, in children and adolescents in Kelantan, Malaysia. Cross-sectional data on permanent teeth eruption were collected by examining pre-school, primary and secondary school children of 5-17 years of age. The subjects were drawn by multistage random sampling from the school registers. There were 2,382 subjects in the sample, 1,062 boys and 1,320 girls. The data were subjected to probit regression analysis. The mean age of eruption of lower first molar was 6.0 (95%CI: 5.8, 6.2) years. The median age of eruption of each tooth was earlier in girls than in boys. Although the range of years during which the permanent teeth erupted was similar in both sexes, i.e. 6-12 years, the sequence of the tooth eruption differed. All mandibular teeth, with the exception of first and second premolars in both males and females, tended to erupt earlier than their maxillary counterparts. The findings seem to correspond to earlier studies done in the other parts of the world.
    Matched MeSH terms: Multivariate Analysis
  9. Chan WK, Tan AT, Vethakkan SR, Tah PC, Vijayananthan A, Goh KL
    Clin Res Hepatol Gastroenterol, 2014 Jun;38(3):284-91.
    PMID: 24736032 DOI: 10.1016/j.clinre.2014.02.009
    BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) and cardiovascular diseases are both common among patients with diabetes mellitus.
    OBJECTIVE: The aim of this study is to determine if ultrasonography-diagnosed NAFLD is associated with prevalent ischemic heart disease (IHD) among patients with diabetes mellitus.
    METHODS: This is a cross-sectional study on consecutive patients seen at the Diabetic Clinic, University of Malaya Medical Centre. The medical record for each patient was reviewed for documented IHD. Patients without documented IHD but had symptoms and/or electrocardiographic changes suggestive of IHD were referred for cardiac evaluation.
    RESULTS: Data for 399 patients were analyzed. Mean age was 62.8±10.5 years with 43.1% male. NAFLD and IHD were present in 49.6 and 26.6%, respectively. The prevalence of IHD among patients with and without NAFLD was 24.7 and 28.4%, respectively (P=0.414). The prevalence of IHD was highest among the Indians (34.1%) followed by the Malays (29.2%) and the Chinese (20.1%). No association was found between NAFLD and IHD when analyzed according to ethnicity. On multivariate analysis, independent factors associated with IHD were older age, lower levels of physical activity, greater waist circumference and higher serum glycated hemoglobin level.
    CONCLUSIONS: Ultrasonography-diagnosed NAFLD was not associated with prevalent IHD among patients with diabetes mellitus in a multiracial Asian hospital clinic population.

    Study site: Diabetic clinc, University Malaya Medical Centre (UMMC)
    Matched MeSH terms: Multivariate Analysis
  10. Aziz Z, Tey NP
    Complement Ther Med, 2009 Jan;17(1):44-50.
    PMID: 19114228 DOI: 10.1016/j.ctim.2008.04.008
    The aim of this study was to examine the prevalence and identify factors, which predict the use of herbal medicines among Malaysian adults.
    Matched MeSH terms: Multivariate Analysis
  11. Kyaw MT, Sakthiswary R, Ani Amelia Z, Rahana AR, Munirah MM
    Cureus, 2020 Apr 11;12(4):e7632.
    PMID: 32399364 DOI: 10.7759/cureus.7632
    BACKGROUND: Methotrexate (MTX), which is the anchor drug in rheumatoid arthritis (RA), targets actively proliferating cells including the oocytes and granulosa cells which may impair the ovarian reserve. The purpose of this study was to determine the effects of MTX therapy on gonadotropic hormones, i.e. follicular stimulating hormone (FSH) and luteinizing hormone (LH) in female RA patients of reproductive age.

    MATERIALS AND METHODS: This is a cross-sectional study conducted at the Universiti Kebangsaan Malaysia Medical Centre (UKMMC), from January 2018 to July 2018. Women with RA aged between 15 and 49 years who were on MTX therapy for at least six months, were consecutively recruited. All subjects were interviewed to gather information on their menstrual history and menopausal symptoms. The medical records were reviewed to obtain further data on the disease characteristics and RA treatment. The RA disease activity was determined using the DAS 28 scoring system. All subjects were tested for their serum FSH and LH levels.

    RESULTS: A total of 40 patients were included in this study. The median dose of MTX used by the subjects was 12.5 mg weekly. The mean cumulative MTX dose was 1664.92 ± 738.61 mg. More than half (53.1%) of the subjects reported menopausal symptoms especially hot flushes. We found that FSH levels had a significant positive correlation with cumulative MTX dose [(r = 0.86), p < 0.001] and the duration of MTX therapy [(r = 0.84), p < 0.001]. Besides, there was a significant relationship between disease activity based on DAS 28 and FSH levels (p < 0.01). Age, body mass index, disease duration, and weekly MTX dose showed no associations with the FSH levels. On multivariate analysis, DAS 28 was found to be the only parameter that remained significant [β = 1.74 (95% CI 1.17-2.31), p < 0.001]. The LH levels, on the other hand, were not associated with MTX therapy or disease activity.

    CONCLUSION: Higher levels of FSH, which is an indicator of diminished ovarian reserve, have a significant positive relationship with disease activity, cumulative dose, and duration of MTX therapy in RA.

    Matched MeSH terms: Multivariate Analysis
  12. Momtaz YA, Hamid TA, Bagat MF, Hazrati M
    Curr Aging Sci, 2019;12(1):62-66.
    PMID: 31589113 DOI: 10.2174/1874609812666190614104328
    INTRODUCTION: Although diabetes through several possible mechanisms such as increased microvascular pathology and inefficiency of glucose utilization during cognitive tasks can be associated with cognitive impairment, there is inconclusive evidence that shows elderly diabetic patients under therapy have higher cognitive function compared to their non-diabetics counterparts. The present study was conducted to elucidate the association between diabetes and cognitive function in later life.

    METHODS: Data for this study, consisting of 2202 older adults aged 60 years and above, were taken from a population-based survey entitled "Identifying Psychosocial and Identifying Economic Risk Factor of Cognitive Impairment among Elderly. Data analysis was conducted using the IBM SPSS Version 23.0.

    RESULTS: The mean of MMSE was found to be 22.67 (SD = 4.93). The overall prevalence of selfreported diabetes was found to be 23.6% (CI95%: 21.8% - 25.4%). The result of independent t-test showed diabetic subjects had a higher mean score of MMSE (M = 23.05, SD =4 .55) than their counterparts without diabetes (M = 22.55, SD = 5.04) (t = -2.13 p

    Matched MeSH terms: Multivariate Analysis
  13. Baydar N, White MJ, Simkins C, Babakol O
    Demography, 1990 Feb;27(1):97-109.
    PMID: 2303144
    State planning plays a central role in Malaysia's social and economic development. The government's rural development policies are designed to promote agricultural incomes and help counterbalance ethnic inequalities. The Federal Land Development Authority (FELDA) implements one of the internationally most successful land development and resettlement programs. In this article, we quantify the impact of FELDA settlements on local out-migration rates, linking macro and micro approaches and using data from the Malaysian Family Life Survey, national censuses, and other sources. A model of instantaneous migration rates specifies an individual's migration rate as a function of individual-level sociodemographic characteristics, the level of urbanization of the origin and destination, and the extent of rural development at the district of current residence. Our results show that in the late 1960s and early 1970s, the existence of rural development centers in a district reduced the levels of out-migration to pre-1965 levels.
    Matched MeSH terms: Multivariate Analysis
  14. Chew BH, Ismail M, Lee PY, Taher SW, Haniff J, Mustapha FI, et al.
    Diabetes Res Clin Pract, 2012 Jun;96(3):339-47.
    PMID: 22305940 DOI: 10.1016/j.diabres.2012.01.017
    Numerous studies with compelling evidence had shown a clear relationship between dyslipidaemia and cardiovascular (CV) events in patients with diabetes mellitus. This was an observational study based on secondary data from the online registry database Adult Diabetes Control and Management (ADCM) looking into the determinants of uncontrolled dyslipidaemia in type 2 diabetes mellitus patients. Independent predictors were identified using multivariate logistic regression. A total of 303 centres (289 health clinics, 14 hospitals) contributed a total of 70,889 patients (1972 or 2.8% patients were from hospital). About thirty eight percent were reported to have dyslipidaemia. There were 40.7% patients on lipid-lowering agents and of those above age 40 years old, only 38.1% of them were on a statin. Malay ethnicity and younger age groups (<50 years old) were two major determinants of uncontrolled LDL-C, TG and HDL-C. Female gender and uncontrolled blood pressure were determinants of uncontrolled LDL-C, and poor glycaemic control was related independently to high TG. This study has highlighted the suboptimal management of diabetic dyslipidaemia in Malaysia. Pharmacological treatment of dyslipidaemia could be more effective. Healthcare stakeholders in this country, especially in the primary care, have to recognize these shortfalls and take immediate remedial measures.
    Matched MeSH terms: Multivariate Analysis
  15. Mohamad Syamim Hilm, Sofianita Mutalib, Sarifah Radiah Shari, Siti Nur Kamaliah Kamarudin
    ESTEEM Academic Journal, 2020;16(2):31-40.
    MyJurnal
    Electricity is one of the most important resources and fundamental infrastructure for every nation. Its milestone shows a significant contribution to world development that brought forth new technological breakthroughs throughout the centuries. Electricity demand constantly fluctuates, which affects the supply. Suppliers need to generate more electrical energy when demand is high, and less when demand is low. It is a common practice in power markets to have a reserve margin for unexpected fluctuation of demand. This research paper investigates regression techniques: multiple linear regression (MLR) and vector autoregression (VAR) to forecast demand with predictors of economic growth, population growth, and climate change as well as the demand itself. Auto-Regressive Integrated Moving Average (Auto-ARIMA) was used in benchmarking the forecasting. The results from MLR and VAR (lag-values=20) and Auto-ARIMA are monitored for five months from June to October of 2019. Using the root mean square error (RMSE) as an indicator for accuracy, Auto-ARIMA has the lowest RMSE for four months except in June 2019. VAR (lag-values=20) shows good forecasting capabilities for all five months, considering it uses the same lag values (20) for each month. Three different techniques have been successfully examined in order to find the best model for the prediction of the demand.
    Matched MeSH terms: Multivariate Analysis
  16. Shazlin Umar, Azriani Ab Rahman, Aziah Daud, Azizah Othman, Normastura Abd Rahman, Azizah Yusoff, et al.
    MyJurnal
    Objective: The objectives of this study were to determine the effect of a one and a half year educational intervention on the job dissatisfaction of teachers in 30 Community Based Rehabilitation (CBR) centres in Kelantan, Malaysia, and to identify the factors influencing changes in job dissatisfaction following the intervention. Method: Ten educational modules were administered to the teachers. A validated Malay version of Job Content Questionnaire (JCQ) was used pre intervention, mid intervention and post intervention. Result: Repeated Measure ANOVA revealed there was a statistically significant reduction in the mean of job dissatisfaction (p = 0.048). Multiple Linear Regression revealed that co- worker support (β= 0.034 (95% CI = 0.009, 0.059)), having less decision authority (β: -0.023; 95% CI: -0.036, -0.01) and being single (β: -0.107; 95% CI: -0.176,-0.038) were significantly associated with decreases in job dissatisfaction. Conclusion: The intervention program elicited improvement in job satisfaction. Efforts should be made to sustain the effect of the intervention in reducing job dissatisfaction by continuous support visits to CBR centres.
    Matched MeSH terms: Multivariate Analysis
  17. Wan Nor Arifin
    MyJurnal
    Multivariate analyses depend on multivariate normality assumption. Although the analyses are available in SPSS, it is not possible to assess the assumption from the basic package. Statistical assessment of the normality is available in a specialized package, SPSS Amos, in form of Mardia's multivariate kurtosis. However, graphical assessment of the normality by chi-square versus Mahalanobis distance plot is not available in both of the packages. The aim of this article is to present the steps to construct the plot in SPSS in a point-and-click manner as expected by most SPSS users.
    Matched MeSH terms: Multivariate Analysis
  18. Mohamed I, Othman F, Ibrahim AI, Alaa-Eldin ME, Yunus RM
    Environ Monit Assess, 2015 Jan;187(1):4182.
    PMID: 25433545 DOI: 10.1007/s10661-014-4182-y
    This case study uses several univariate and multivariate statistical techniques to evaluate and interpret a water quality data set obtained from the Klang River basin located within the state of Selangor and the Federal Territory of Kuala Lumpur, Malaysia. The river drains an area of 1,288 km(2), from the steep mountain rainforests of the main Central Range along Peninsular Malaysia to the river mouth in Port Klang, into the Straits of Malacca. Water quality was monitored at 20 stations, nine of which are situated along the main river and 11 along six tributaries. Data was collected from 1997 to 2007 for seven parameters used to evaluate the status of the water quality, namely dissolved oxygen, biochemical oxygen demand, chemical oxygen demand, suspended solids, ammoniacal nitrogen, pH, and temperature. The data were first investigated using descriptive statistical tools, followed by two practical multivariate analyses that reduced the data dimensions for better interpretation. The analyses employed were factor analysis and principal component analysis, which explain 60 and 81.6% of the total variation in the data, respectively. We found that the resulting latent variables from the factor analysis are interpretable and beneficial for describing the water quality in the Klang River. This study presents the usefulness of several statistical methods in evaluating and interpreting water quality data for the purpose of monitoring the effectiveness of water resource management. The results should provide more straightforward data interpretation as well as valuable insight for managers to conceive optimum action plans for controlling pollution in river water.
    Matched MeSH terms: Multivariate Analysis
  19. Sheikhy Narany T, Ramli MF, Aris AZ, Sulaiman WN, Fakharian K
    Environ Monit Assess, 2014 Sep;186(9):5797-815.
    PMID: 24891071 DOI: 10.1007/s10661-014-3820-8
    In recent years, groundwater quality has become a global concern due to its effect on human life and natural ecosystems. To assess the groundwater quality in the Amol-Babol Plain, a total of 308 water samples were collected during wet and dry seasons in 2009. The samples were analysed for their physico-chemical and biological constituents. Multivariate statistical analysis and geostatistical techniques were applied to assess the spatial and temporal variabilities of groundwater quality and to identify the main factors and sources of contamination. Principal component analysis (PCA) revealed that seven factors explained around 75% of the total variance, which highlighted salinity, hardness and biological pollution as the dominant factors affecting the groundwater quality in the Plain. Two-way analysis of variance (ANOVA) was conducted on the dataset to evaluate the spatio-temporal variation. The results showed that there were no significant temporal variations between the two seasons, which explained the similarity between six component factors in dry and wet seasons based on the PCA results. There are also significant spatial differences (p > 0.05) of the parameters under study, including salinity, potassium, sulphate and dissolved oxygen in the plain. The least significant difference (LSD) test revealed that groundwater salinity in the eastern region is significantly different to the central and western side of the study area. Finally, multivariate analysis and geostatistical techniques were combined as an effective method for demonstrating the spatial structure of multivariate spatial data. It was concluded that multiple natural processes and anthropogenic activities were the main sources of groundwater salinization, hardness and microbiological contamination of the study area.
    Matched MeSH terms: Multivariate Analysis
  20. Ajorlo M, Abdullah RB, Yusoff MK, Halim RA, Hanif AH, Willms WD, et al.
    Environ Monit Assess, 2013 Oct;185(10):8649-58.
    PMID: 23604787 DOI: 10.1007/s10661-013-3201-8
    This study investigates the applicability of multivariate statistical techniques including cluster analysis (CA), discriminant analysis (DA), and factor analysis (FA) for the assessment of seasonal variations in the surface water quality of tropical pastures. The study was carried out in the TPU catchment, Kuala Lumpur, Malaysia. The dataset consisted of 1-year monitoring of 14 parameters at six sampling sites. The CA yielded two groups of similarity between the sampling sites, i.e., less polluted (LP) and moderately polluted (MP) at temporal scale. Fecal coliform (FC), NO3, DO, and pH were significantly related to the stream grouping in the dry season, whereas NH3, BOD, Escherichia coli, and FC were significantly related to the stream grouping in the rainy season. The best predictors for distinguishing clusters in temporal scale were FC, NH3, and E. coli, respectively. FC, E. coli, and BOD with strong positive loadings were introduced as the first varifactors in the dry season which indicates the biological source of variability. EC with a strong positive loading and DO with a strong negative loading were introduced as the first varifactors in the rainy season, which represents the physiochemical source of variability. Multivariate statistical techniques were effective analytical techniques for classification and processing of large datasets of water quality and the identification of major sources of water pollution in tropical pastures.
    Matched MeSH terms: Multivariate Analysis
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