Displaying publications 1 - 20 of 170 in total

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  1. Fulltext "Eating Out", spatiality, temporality and sociality. A database for China, Indonesia, Japan, Malaysia, Singapore and France
    Mognard E, Naidoo K, Laporte C, Tibère L, Alem Y, Khusun H, et al.
    Front Nutr, 2023;10:1066737.
    PMID: 36819687 DOI: 10.3389/fnut.2023.1066737
  2. Fulltext A Study of House Officers in a Teaching Hospital on Knowledge, Perception of Skills and Confidence Level in
    Ismail Mohd Saiboon, Noraliza Mohd Ariffin, Teodoro Javier Herbosa, Ahmad Khaldun Ismail, Nariman Singmamae, Shamsuriani Md Jamal, et al.
    Medicine & Health, 2007;2(2):110-116.
    MyJurnal
    Cardio-pulmonary Resuscitation (CPR) is important and should be mastered by House Officers (HO). House officers who have just completed their studies are assigned to acute medical and surgical wards. If a patient in the ward has a cardiac arrest (CA), these doctors are usually the first to attend.  Therefore an HO must be confident with CPR skills. They must be competent in performing CPR. The authors assessed 26 new HOs from Universiti Kebangsaan Malaysia Hospital (HUKM) with respect to their self-perception about CPR skills, confidence level in performing CPR and knowledge in performing CPR. Knowledge was assessed by a questionnaire. We found that 16 of 26 (61.5%) assessed themselves to have inadequate knowledge and 46.2% had no confidence in performing CPR. The mean score of the written test was 5.7 ± 1.8. Seven out of 26 (27.0%) HOs had incorrect hand placement position for CPR. Only 4 and 9 out of 26 HOs had their sternal paddle and cardiac apex paddle positions correctly placed respectively. In conclusion, knowledge, perception of skills and confidence levels of HOs on CPR are inadequate and need further assessment and improvement. Medical schools need to review their CPR curriculum in order to prepare HOs adequately to work in emergency situations.
  3. A bite by the Twin-Barred Tree Snake, Chrysopelea pelias (Linnaeus, 1758)
    Ismail AK, Weinstein SA, Auliya M, Sabardin DM, Herbosa TJ, Saiboon IM, et al.
    Clin Toxicol (Phila), 2010 Mar;48(3):222-6.
    PMID: 20345298 DOI: 10.3109/15563650903550964
    The Twin-Barred Tree Snake, Chrysopelea pelias, is a colubrine that, like other members of the genus Chrysopelea, is able to glide in the arboreal strata. Little is known about the effects of its bite. This report is the first clinically documented bite by this relatively uncommon rear-fanged species.
  4. Fulltext A fiber Bragg grating--bimetal temperature sensor for solar panel inverters
    Ismail MA, Tamchek N, Hassan MR, Dambul KD, Selvaraj J, Rahim NA, et al.
    Sensors (Basel), 2011;11(9):8665-73.
    PMID: 22164098 DOI: 10.3390/s110908665
    This paper reports the design, characterization and implementation of a fiber Bragg grating (FBG)-based temperature sensor for an insulted-gate Bipolar transistor (IGBT) in a solar panel inverter. The FBG is bonded to the higher coefficient of thermal expansion (CTE) side of a bimetallic strip to increase its sensitivity. Characterization results show a linear relationship between increasing temperature and the wavelength shift. It is found that the sensitivity of the sensor can be categorized into three characterization temperature regions between 26 °C and 90 °C. The region from 41 °C to 90 °C shows the highest sensitivity, with a value of 14 pm/°C. A new empirical model that considers both temperature and strain effects has been developed for the sensor. Finally, the FBG-bimetal temperature sensor is placed in a solar panel inverter and results confirm that it can be used for real-time monitoring of the IGBT temperature.
  5. A laudable strategy to manage bacterial panicle blight disease of rice using biocontrol agents
    Ngalimat MS, Mohd Hata E, Zulperi D, Ismail SI, Ismail MR, Mohd Zainudin NAI, et al.
    J Basic Microbiol, 2023 Nov;63(11):1180-1195.
    PMID: 37348082 DOI: 10.1002/jobm.202300182
    Bacterial panicle blight (BPB) disease is a dreadful disease in rice-producing countries. Burkholderia glumae, a Gram-negative, rod-shaped, and flagellated bacterium was identified as the primary culprit for BPB disease. In 2019, the disease was reported in 18 countries, and to date, it has been spotted in 26 countries. Rice yield has been reduced by up to 75% worldwide due to this disease. Interestingly, the biocontrol strategy offers a promising alternative to manage BPB disease. This review summarizes the management status of BPB disease using biological control agents (BCA). Bacteria from the genera Bacillus, Burkholderia, Enterobacter, Pantoea, Pseudomonas, and Streptomyces have been examined as BCA under in vitro, glasshouse, and field conditions. Besides bacteria, bacteriophages have also been reported to reduce BPB pathogens under in vitro and glasshouse conditions. Here, the overview of the mechanisms of bacteria and bacteriophages in controlling BPB pathogens is addressed. The applications of BCA using various delivery methods could effectively manage BPB disease to benefit the agroecosystems and food security.
  6. Fulltext A newton cooperative genetic algorithm method for in silico optimization of metabolic pathway production
    Ismail MA, Deris S, Mohamad MS, Abdullah A
    PLoS One, 2015;10(5):e0126199.
    PMID: 25961295 DOI: 10.1371/journal.pone.0126199
    This paper presents an in silico optimization method of metabolic pathway production. The metabolic pathway can be represented by a mathematical model known as the generalized mass action model, which leads to a complex nonlinear equations system. The optimization process becomes difficult when steady state and the constraints of the components in the metabolic pathway are involved. To deal with this situation, this paper presents an in silico optimization method, namely the Newton Cooperative Genetic Algorithm (NCGA). The NCGA used Newton method in dealing with the metabolic pathway, and then integrated genetic algorithm and cooperative co-evolutionary algorithm. The proposed method was experimentally applied on the benchmark metabolic pathways, and the results showed that the NCGA achieved better results compared to the existing methods.
  7. Fulltext A review of microsatellite markers and their applications in rice breeding programs to improve blast disease resistance
    Miah G, Rafii MY, Ismail MR, Puteh AB, Rahim HA, Islam KhN, et al.
    Int J Mol Sci, 2013;14(11):22499-528.
    PMID: 24240810 DOI: 10.3390/ijms141122499
    Over the last few decades, the use of molecular markers has played an increasing role in rice breeding and genetics. Of the different types of molecular markers, microsatellites have been utilized most extensively, because they can be readily amplified by PCR and the large amount of allelic variation at each locus. Microsatellites are also known as simple sequence repeats (SSR), and they are typically composed of 1-6 nucleotide repeats. These markers are abundant, distributed throughout the genome and are highly polymorphic compared with other genetic markers, as well as being species-specific and co-dominant. For these reasons, they have become increasingly important genetic markers in rice breeding programs. The evolution of new biotypes of pests and diseases as well as the pressures of climate change pose serious challenges to rice breeders, who would like to increase rice production by introducing resistance to multiple biotic and abiotic stresses. Recent advances in rice genomics have now made it possible to identify and map a number of genes through linkage to existing DNA markers. Among the more noteworthy examples of genes that have been tightly linked to molecular markers in rice are those that confer resistance or tolerance to blast. Therefore, in combination with conventional breeding approaches, marker-assisted selection (MAS) can be used to monitor the presence or lack of these genes in breeding populations. For example, marker-assisted backcross breeding has been used to integrate important genes with significant biological effects into a number of commonly grown rice varieties. The use of cost-effective, finely mapped microsatellite markers and MAS strategies should provide opportunities for breeders to develop high-yield, blast resistance rice cultivars. The aim of this review is to summarize the current knowledge concerning the linkage of microsatellite markers to rice blast resistance genes, as well as to explore the use of MAS in rice breeding programs aimed at improving blast resistance in this species. We also discuss the various advantages, disadvantages and uses of microsatellite markers relative to other molecular marker types.
  8. ADAM9 Expression in Uterine Cervical Cancer and Its Associated Factors
    Mohd Isa SA, Md Salleh MS, Ismail MP, Hairon SM
    Asian Pac J Cancer Prev, 2019 Apr 29;20(4):1081-1087.
    PMID: 31030477
    Background: Cervical cancer is a preventable disease caused by human papillomaviruses. It is the third most
    common cancer to occur in women of reproductive age. The ADAM9 protein plays a role in basement membrane
    degradation and tumour metastasis in certain types of tumour. Thus, it has the potential to become a new targeted
    therapy. The objective of this study was to investigate ADAM9 expression in cervical cancer and to determine the
    factors associated with ADAM9-positive expression. Methods: This cross-sectional study was conducted in Hospital
    Universiti Sains Malaysia (HUSM) Kelantan, Malaysia from December 2010 to December 2012. Histological slides
    obtained from 95 cervical cancer cases diagnosed and/or treated in HUSM from 2000 to 2010 were analysed. The
    ADAM9 immunostain was then performed on the paraffin blocks. The statistical data entry and analysis were done
    using SPSS version 18.0. Multiple logistic regression analysis was performed to determine the factors associated with
    ADAM9-positive expression. Result: Of the 95 cervical cancer patients included in the study, 72 (75.8%) patients showed
    positive ADAM9 expression. The mean age of the patients was 53.89 (10.83) years old. Squamous cell carcinoma was
    the most common type of cervical cancer (n = 67, 70.5%). Factors that showed a statistically significant association
    with ADAM9-positive expression were tumour size (adjusted odds ratio [adj. OR]: 1.08; 95% confidence interval
    [CI]: 1.02, 1.13; p = 0.004), distant metastasis (adj. OR: 12.82; 95% CI: 1.91, 86.13; p = 0.009) and the histological
    type of cervical cancer (i.e. squamous cell carcinoma) (adj. OR: 7.39; 95% CI: 1.42, 38.51; p = 0.017). Conclusion:
    The ADAM9 immunostain was consistently positive in malignant cells. Thus, ADAM9 expression can be used as a
    prognostic/therapeutic indicator in aiding clinician decision-making regarding patient treatment (targeted therapy).
  9. Fulltext Acceptance of medical drone technology and its determinant factors among public and healthcare personnel in a Malaysian urban environment: knowledge, attitude, and perception
    Za'im Sahul Hameed M, Nordin R, Ismail A, Zulkifley MA, Sham ASH, Sabudin RZAR, et al.
    Front Public Health, 2023;11:1199234.
    PMID: 38045974 DOI: 10.3389/fpubh.2023.1199234
    INTRODUCTION: Unmanned aerial vehicles (UAVs) are used for commercial, medical, public safety, and scientific research purposes in various countries.

    METHODS: This study aimed to explore the acceptance of medical delivery drones among medical practitioners as well as the public community in Malaysia using a knowledge, attitude, and perception (KAP) model and statistical analysis to decrease uncertainty. Bivariate and multivariate analyses of the results were performed in SPSS.

    RESULTS: A total of 639 respondents took part in the survey, of which 557 complete responses were finally analyzed. The results showed that the overall acceptance rate for medical delivery drones was positive. The acceptance rate was significantly correlated with knowledge, attitude, and perception scores but not with sociodemographic factors.

    DISCUSSION: Raising awareness and educating the medical as well as public communities regarding the potential role and benefits of drones are therefore important in garnering support for drone usage for medical purposes.

  10. Advances to improve the eating and cooking qualities of rice by marker-assisted breeding
    Phing Lau WC, Latif MA, Y Rafii M, Ismail MR, Puteh A
    Crit Rev Biotechnol, 2016;36(1):87-98.
    PMID: 24937109 DOI: 10.3109/07388551.2014.923987
    The eating and cooking qualities of rice are heavily emphasized in breeding programs because they determine market values and they are the appealing attributes sought by consumers. Conventional breeding has developed traditional varieties with improved eating and cooking qualities. Recently, intensive genetic studies have pinpointed the genes that control eating and cooking quality traits. Advances in genetic studies have developed molecular techniques, thereby allowing marker-assisted breeding (MAB) for improved eating and cooking qualities in rice. MAB has gained the attention of rice breeders for the advantages it can offer that conventional breeding cannot. There have been successful cases of using MAB to improve the eating and cooking qualities in rice over the years. Nevertheless, MAB should be applied cautiously given the intensive effort needed for genotyping. Perspectives from conventional breeding to marker-assisted breeding will be discussed in this review for the advancement of the eating and cooking qualities of fragrance, amylose content (AC), gel consistency (GC) and gelatinization temperature (GT) in rice. These four parameters are associated with eating and cooking qualities in rice. The genetic basis of these four parameters is also included in this review. MAB is another approach to rice variety improvement and development in addition to being an alternative to genetic engineering. The MAB approach shortens the varietal development time, and is therefore able to deliver improved rice varieties to farmers within a shorter period of time.
  11. Fulltext Alleviation of water stress effects on MR220 rice by application of periodical water stress and potassium fertilization
    Zain NA, Ismail MR, Mahmood M, Puteh A, Ibrahim MH
    Molecules, 2014;19(2):1795-819.
    PMID: 24504074 DOI: 10.3390/molecules19021795
    The use of periodical water stress and potassium fertilization may enhance rice tolerance to drought stress and improve the crop's instantaneous water use efficiency without much yield reduction. This study was conducted to assess the effects of different periodical water stress combined with potassium fertilization regimes on growth, yield, leaf gas exchanges and biochemical changes in rice grown in pots and compare them with standard local rice grower practices. Five treatments including (1) standard local grower's practice (control, 80CF = 80 kg K2O/ha + control flooding); (2) 120PW15 = 120 kg K2O/ha + periodical water stress for 15 days; (3) 120DS15V = 120 kg K2O/ha + drought stress for 15 days during the vegetative stage; (4) 120DS25V = 120 kg K2O/ha + drought stress for 25 days and (5) 120DS15R = 120 kg K2O/ha + drought stress for 15 days during the reproductive stage, were evaluated in this experiment. Control and 120PW15 treatments were stopped at 100 DAS, and continuously saturated conditions were applied until harvest. It was found that rice under 120PW15 treatment showed tolerance to drought stress evidenced by increased water use efficiency, peroxidase (POX), catalase (CAT) and proline levels, maximum efficiency of photosystem II (fv/fm) and lower minimal fluorescence (fo), compared to other treatments. Path coefficient analysis revealed that most of parameters contribute directly rather than indirectly to rice yield. In this experiment, there were four factors that are directly involved with rice yield: grain soluble sugar, photosynthesis, water use efficiency and total chlorophyll content. The residual factors affecting rice yield are observed to be quite low in the experiment (0.350), confirming that rice yield was mostly influenced by the parameters measured during the study.
  12. Fulltext An EPQ Model for Delayed Deteriorating Items with Two-Phase Production Period, Exponential Demand Rate and Linear Holding Cost
    Malumfashi ML, Ismail MT, Ali MKM
    Bull Malays Math Sci Soc, 2022;45(Suppl 1):395-424.
    PMID: 35698582 DOI: 10.1007/s40840-022-01316-x
    The economic production quantity (EPQ) model for delayed deteriorating items considering two-phase production periods, exponential demand rate and linearly increasing function of time holding cost is proposed to solve a production problem similar to the one caused by the Covid-19 pandemic. Without shortages, the necessary and sufficient conditions for optimality of this model are characterized through a theorem and lemmas while a solution methodology based on differential calculus is adopted. This paper determines the best replenishment cycle length corresponding to the optimal total variable cost and production quantity of imperfect production industry. To illustrate this model, a numerical experiment is conducted. The results demonstrate that a higher carrying charge decreases the production quantity and a longer demanding period decreases the total variable cost of an industry with a distracted production period. Finally, managerial insights are discussed using sensitivity analysis and future research directions are exposed.
  13. An Empirical Analysis of Sacha Inchi (Plantae: Plukenetia volubilis L.) Seed Proteins and Their Applications in the Food and Biopharmaceutical Industries
    Rashid MHU, Yi EKJ, Amin NDM, Ismail MN
    Appl Biochem Biotechnol, 2023 Nov 18.
    PMID: 37979081 DOI: 10.1007/s12010-023-04783-5
    Sacha Inchi (Plukenetia volubilis L.) is a plant native in the Amazon rainforest in South America known for its edible seeds, which are rich in lipids, proteins, vitamin E, polyphenols, minerals, and amino acids. Rural communities in developing nations have been using this plant for its health benefits, including as a topical cream for rejuvenating and revitalising skin and as a treatment for muscle pain and rheumatism. Although Sacha Inchi oil has been applied topically to soften skin, treat skin diseases, and heal wounds, its protein-rich seeds have not yet received proper attention for extensive investigation. Proteins in Sacha Inchi seeds are generally known to have antioxidant and antifungal activities and are extensively used nowadays in making protein-rich food alternatives worldwide. Notably, large-scale use of seed proteins has begun in nanoparticle and biofusion technologies related to the human health-benefitting sector. To extract and identify their proteins, the current study examined Sacha Inchi seeds collected from the Malaysian state of Kedah. Our analysis revealed a protein concentration of 73.8 ± 0.002 mg/g of freeze-dried seed flour. Employing liquid chromatography-tandem mass spectrometry (LC-MS/MS) and PEAKS studio analysis, we identified 217 proteins in the seed extract, including 152 with known proteins and 65 unknown proteins. This study marks a significant step towards comprehensively investigating the protein composition of Sacha Inchi seeds and elucidating their potential applications in the food and biopharmaceutical sectors. Our discoveries not only enhance our knowledge of Sacha Inchi's nutritional characteristics but also pave the way for prospective research and innovative advancements in the realms of functional food and health-related domains.
  14. Fulltext An enhanced topologically significant directed random walk in cancer classification using gene expression datasets
    Seah CS, Kasim S, Fudzee MFM, Law Tze Ping JM, Mohamad MS, Saedudin RR, et al.
    Saudi J Biol Sci, 2017 Dec;24(8):1828-1841.
    PMID: 29551932 DOI: 10.1016/j.sjbs.2017.11.024
    Microarray technology has become one of the elementary tools for researchers to study the genome of organisms. As the complexity and heterogeneity of cancer is being increasingly appreciated through genomic analysis, cancerous classification is an emerging important trend. Significant directed random walk is proposed as one of the cancerous classification approach which have higher sensitivity of risk gene prediction and higher accuracy of cancer classification. In this paper, the methodology and material used for the experiment are presented. Tuning parameter selection method and weight as parameter are applied in proposed approach. Gene expression dataset is used as the input datasets while pathway dataset is used to build a directed graph, as reference datasets, to complete the bias process in random walk approach. In addition, we demonstrate that our approach can improve sensitive predictions with higher accuracy and biological meaningful classification result. Comparison result takes place between significant directed random walk and directed random walk to show the improvement in term of sensitivity of prediction and accuracy of cancer classification.
  15. Fulltext Anthropometry of Malaysian young adults
    Karmegam, Karuppiah, Salit MS, Ismail MY, Ismail N, Tamrin SB, et al.
    J Hum Ergol (Tokyo), 2011 Dec;40(1-2):37-46.
    PMID: 25665206 DOI: 10.11183/jhe.40.37
    This paper presents the results of an anthropometric data collected from polytechnic students in Malaysia. A total of 1032 (595 males and 437 females) students participated in the study. Their ages ranged from 18 to 24 years. A total of 34 anthropometric dimensions were measured. Descriptive statistics such as mean, standard deviation, standard error of mean, coefficient of variation, minimum, maximum and percentile for each parameter were estimated. In addition, the comparison between Malaysia anthropometric data and Thailand (South) anthropometric data were also presented. The results show that there is a total of 12 and 11 (of dimensions parameters) significant differences (p < 0.05) between the male and female adults respectively.
  16. Fulltext Application of an Effective Statistical Technique for an Accurate and Powerful Mining of Quantitative Trait Loci for Rice Aroma Trait
    Golestan Hashemi FS, Rafii MY, Ismail MR, Mohamed MT, Rahim HA, Latif MA, et al.
    PLoS One, 2015;10(6):e0129069.
    PMID: 26061689 DOI: 10.1371/journal.pone.0129069
    When a phenotype of interest is associated with an external/internal covariate, covariate inclusion in quantitative trait loci (QTL) analyses can diminish residual variation and subsequently enhance the ability of QTL detection. In the in vitro synthesis of 2-acetyl-1-pyrroline (2AP), the main fragrance compound in rice, the thermal processing during the Maillard-type reaction between proline and carbohydrate reduction produces a roasted, popcorn-like aroma. Hence, for the first time, we included the proline amino acid, an important precursor of 2AP, as a covariate in our QTL mapping analyses to precisely explore the genetic factors affecting natural variation for rice scent. Consequently, two QTLs were traced on chromosomes 4 and 8. They explained from 20% to 49% of the total aroma phenotypic variance. Additionally, by saturating the interval harboring the major QTL using gene-based primers, a putative allele of fgr (major genetic determinant of fragrance) was mapped in the QTL on the 8th chromosome in the interval RM223-SCU015RM (1.63 cM). These loci supported previous studies of different accessions. Such QTLs can be widely used by breeders in crop improvement programs and for further fine mapping. Moreover, no previous studies and findings were found on simultaneous assessment of the relationship among 2AP, proline and fragrance QTLs. Therefore, our findings can help further our understanding of the metabolomic and genetic basis of 2AP biosynthesis in aromatic rice.
  17. Fulltext Application of empirical mode decomposition with local linear quantile regression in financial time series forecasting
    Jaber AM, Ismail MT, Altaher AM
    ScientificWorldJournal, 2014;2014:708918.
    PMID: 25140343 DOI: 10.1155/2014/708918
    This paper mainly forecasts the daily closing price of stock markets. We propose a two-stage technique that combines the empirical mode decomposition (EMD) with nonparametric methods of local linear quantile (LLQ). We use the proposed technique, EMD-LLQ, to forecast two stock index time series. Detailed experiments are implemented for the proposed method, in which EMD-LPQ, EMD, and Holt-Winter methods are compared. The proposed EMD-LPQ model is determined to be superior to the EMD and Holt-Winter methods in predicting the stock closing prices.
  18. Fulltext Artificial Bee Colony algorithm in estimating kinetic parameters for yeast fermentation pathway
    Ismail AM, Remli MA, Choon YW, Nasarudin NA, Ismail NN, Ismail MA, et al.
    J Integr Bioinform, 2023 Jun 01;20(2).
    PMID: 37341516 DOI: 10.1515/jib-2022-0051
    Analyzing metabolic pathways in systems biology requires accurate kinetic parameters that represent the simulated in vivo processes. Simulation of the fermentation pathway in the Saccharomyces cerevisiae kinetic model help saves much time in the optimization process. Fitting the simulated model into the experimental data is categorized under the parameter estimation problem. Parameter estimation is conducted to obtain the optimal values for parameters related to the fermentation process. This step is essential because insufficient identification of model parameters can cause erroneous conclusions. The kinetic parameters cannot be measured directly. Therefore, they must be estimated from the experimental data either in vitro or in vivo. Parameter estimation is a challenging task in the biological process due to the complexity and nonlinearity of the model. Therefore, we propose the Artificial Bee Colony algorithm (ABC) to estimate the parameters in the fermentation pathway of S. cerevisiae to obtain more accurate values. A metabolite with a total of six parameters is involved in this article. The experimental results show that ABC outperforms other estimation algorithms and gives more accurate kinetic parameter values for the simulated model. Most of the estimated kinetic parameter values obtained from the proposed algorithm are the closest to the experimental data.
  19. Assessing Body Fat of Children by Skinfold Thickness, Bioelectrical Impedance Analysis, and Dual-Energy X-Ray Absorptiometry: A Validation Study Among Malay Children Aged 7 to 11 Years
    Noradilah MJ, Ang YN, Kamaruddin NA, Deurenberg P, Ismail MN, Poh BK
    Asia Pac J Public Health, 2016 Jul;28(5 Suppl):74S-84S.
    PMID: 27073201 DOI: 10.1177/1010539516641505
    This study aims to validate skinfold (SKF) and bioelectrical impedance analysis (BIA) against dual-energy X-ray absorptiometry (DXA) in determining body fat percentage (BF%) of Malay children aged 7 to 11 years. A total of 160 children had their BF% assessed using SKF and BIA, with DXA as the criterion method. Four SKF equations (SKFBray, SKFJohnston, SKFSlaughter, and SKFGoran) and 4 BIA equations (BIAManufacturer, BIAHoutkooper, BIARush, and BIAKushner) were used to estimate BF%. Mean age, weight, and height were 9.4 ± 1.1years, 30.5 ± 9.9 kg, and 131.3 ± 8.4 cm. All equations significantly underestimated BF% (P < .05). BIA equations had reasonable agreement with DXA and were independent of BF% with BIAManufacturer being the best equation. Although BIA underestimates BF% as compared with DXA, BIA was more suitable to measure BF% in a population that is similar to this study sample than SKF, suggesting a need to develop new SKF equations that are population specific.
  20. Assessing the comparative advantage of broiler production in Peninsular Malaysia using policy analysis matrix
    Benalywa ZA, Ismail MM, Shamsudin MN, Yusop Z
    Trop Anim Health Prod, 2019 Feb;51(2):321-327.
    PMID: 30112733 DOI: 10.1007/s11250-018-1690-8
    Broiler meat is the largest and cheapest protein source in Malaysia. Using the policy analysis matrix (PAM), this study examines the comparative advantage of broiler production in Peninsular Malaysia. Three hundred and ten farms in Peninsular Malaysia were involved in a field survey. The results of the domestic resource cost (DRC) show that Malaysia has a comparative advantage in all scales of broiler production. Sensitivity analysis indicates that the changes in input prices have a significant effect on comparative advantage. Nonetheless, the industry should reduce its dependence on corn-based feed, which is expensive and has an unstable price, to increase competitiveness in further securing its comparative advantage.
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