Displaying publications 1 - 20 of 791 in total

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  1. Abu Hassan A, Rahman WA, Salmah MR, Rashid MZ, Jaal Z, Adanan CR, et al.
    J. Vector Ecol., 1997 Dec;22(2):109-14.
    PMID: 9491360
    Using cow-baited net traps in the coastal and hilly areas of northern peninsular Malaysia, 21 species of Anopheles mosquitoes were found. The distribution of common Anopheles is presented. The composition of the anopheline mosquito fauna was more diversified in the coastal areas than in the hilly areas. The displacement of Anopheles sundaicus by Anopheles subpictus and the disappearance of Anopheles hackeri in the coastal area were noted.
    Matched MeSH terms: Demography
  2. Saw SH
    Demography, 1967 Jun;4(2):859-75.
    PMID: 21318696 DOI: 10.2307/2060325
    The first section of this paper is devoted to an analysis of some theoretical aspects of the Chinese system of reckoning ages, and the second section offers a method of collecting the age statistics of a Chinese population: A discussion of the errors found in the age returns and the unsuccessful measures taken to eradicate these errors in the Malayan censuses conducted prior to1957 leads to an appraisal of the method of collecting Chinese age data in the 1957 census.
    Matched MeSH terms: Demography
  3. Arokiasamy JT
    Med J Malaysia, 1999 Dec;54(4):429-32.
    PMID: 11072458
    Matched MeSH terms: Demography*
  4. Davanzo J, Haaga J
    Popul Stud (Camb), 1982 Nov;36(3):373-93.
    PMID: 11630825
    Matched MeSH terms: Demography*
  5. Crain JB
    J Malays Branch R Asiat Soc, 1972;45(2):110-21.
    PMID: 11632306
    Matched MeSH terms: Demography*
  6. Tagore D, Aghakhanian F, Naidu R, Phipps ME, Basu A
    BMC Biol, 2021 03 29;19(1):61.
    PMID: 33781248 DOI: 10.1186/s12915-021-00981-x
    BACKGROUND: The demographic history of South and Southeast Asia (S&SEA) is complex and contentious, with multiple waves of human migration. Some of the earliest footfalls were of the ancestors of modern Austroasiatic (AA) language speakers. Understanding the history of the AA language family, comprising of over 150 languages and their speakers distributed across broad geographical region in isolated small populations of various sizes, can help shed light on the peopling of S&SEA. Here we investigated the genetic relatedness of two AA groups, their relationship with other ethno-linguistically distinct populations, and the relationship of these groups with ancient genomes of individuals living in S&SEA at different time periods, to infer about the demographic history of this region.

    RESULTS: We analyzed 1451 extant genomes, 189 AAs from India and Malaysia, and 43 ancient genomes from S&SEA. Population structure analysis reveals neither language nor geography appropriately correlates with genetic diversity. The inconsistency between "language and genetics" or "geography and genetics" can largely be attributed to ancient admixture with East Asian populations. We estimated a pre-Neolithic origin of AA language speakers, with shared ancestry between Indian and Malaysian populations until about 470 generations ago, contesting the existing model of Neolithic expansion of the AA culture. We observed a spatio-temporal transition in the genetic ancestry of SEA with genetic contribution from East Asia significantly increasing in the post-Neolithic period.

    CONCLUSION: Our study shows that contrary to assumptions in many previous studies and despite having linguistic commonality, Indian AAs have a distinct genomic structure compared to Malaysian AAs. This linguistic-genetic discordance is reflective of the complex history of population migration and admixture shaping the genomic landscape of S&SEA. We postulate that pre-Neolithic ancestors of today's AAs were widespread in S&SEA, and the fragmentation and dissipation of the population have largely been a resultant of multiple migrations of East Asian farmers during the Neolithic period. It also highlights the resilience of AAs in continuing to speak their language in spite of checkered population distribution and possible dominance from other linguistic groups.

    Matched MeSH terms: Demography*
  7. Lau L
    Med J Malaysia, 1974 Jun;28(4):234-8.
    PMID: 4279021
    Matched MeSH terms: Demography/methods*
  8. Evers HD
    Ekistics, 1977;44(263):220-5.
    PMID: 12262669
    Matched MeSH terms: Demography*
  9. Sutlive V
    Urban anthropol, 1977;6(4):355-69.
    PMID: 12310786
    Matched MeSH terms: Demography*
  10. Tan AK, Mallika PS, Asokumaran T, Mohamad Aziz S, Intan G
    Malays Fam Physician, 2011;6(2-3):68-71.
    PMID: 25606227 MyJurnal
    To evaluate the demography, aetiology, type and outcome of paediatric ocular trauma in tertiary centre in Malaysia.
    Matched MeSH terms: Demography
  11. Khongtong, J., Ab Karim, S., Othman, M., Bolong, J.
    MyJurnal
    Street food in NST province is crucial for the people due to the changing of lifestyles. The
    consumers demand enhances the number of street vendors in the province. Nevertheless, there
    are vendors that are not practicing good hygienic compared to other province. The objectives
    of this study are to identify the pattern of street food consumption, and consumers’ opinion
    towards the street food. Observation and in-depth interview were used to collect data. Ten
    respondents with various demographic backgrounds were interviewed on their experiences,
    and opinions toward street food. The data found that the street food consuming pattern was
    formed in six major themes: consumer characteristic, type of food, location, time of consuming,
    ways to consume and reasons of consuming. Additionally, the study also declared consumer’s
    opinion on the problems related to street food. The finding aims local authority to have more
    understanding on the culture of street food consumption, and the problems that have been
    existed to find the appropriate improvement, and do not induce any conflict between local
    authority with street vendors and authority with consumers.
    Matched MeSH terms: Demography
  12. Michael John Rathbone
    MyJurnal
    The nature, extent and definition of a collaboration varies between individuals, disciplines, departments and institutions. It depends upon such factors as the people involved, the nature of the research problem, the research environment, the institutional culture and demographic factors. This paper will examine the concept of collaborative research and discuss its place and position in an evolving university.
    Matched MeSH terms: Demography
  13. Saidatulnisa Abdullah, Shitan, Mahendran
    MyJurnal
    The analysis of the spatial data has been carried out in many disciplines such as demography, meteorology, geology and remote sensing. The spatial data modelling is important because it recognizes the phenomenon of spatial correlation in field experiments. Three main categories of the spatial models, namely, the simultaneous autoregressive (SAR) models (Whittle, 1954), the conditional autoregressive (CAR) models (Bartlett, 1971), and the moving average (MA) models (Haining, 1978) have been studied. Whittle (1954) presented a form of bilateral autoregressive (AR) models, whereas Basu and Reinsel (1993) considered the first-order autoregressive moving average (ARMA) model of the quadrant type. Awang, N. and Mahendran Shitan (2003) presented the second-order ARMA model, and established some explicit stationary conditions for the model. When fitting the spatial models and making prediction, it is assumed that, the properties of the process would not change with sites. Properties like stationarities have to be assumed, and for this reason, it was therefore imperative that the researchers had made certain that the process was stationary. This could be achieved by providing the explicit stationarity conditions for the model. The explicit conditions, for a stationary representation of the second-order spatial unilateral ARMA model denoted as ARMA(2,1;2,1), have been established (Awang, N. and Mahendran Shitan, 2003) and in this paper, some explicit conditions are established for a stationary representation of the second-order spatial unilateral ARMA model, denoted as ARMA(2,2;2,2).
    Matched MeSH terms: Demography
  14. Kashmoola, Muhannad Ali, Nazih Shaaban Mustafa, Robiah Mohamed, Siti Nabilah Mohamed Talmizi
    MyJurnal
    Temporomandibular joint dysfunction (TMD) is regarded as multifactorial in origin
    and this may influence the diagnosis and treatment plan. Early detection of TMD with suitable
    management may provide good response. This study was to relate demographic factors, signs and
    symptoms, diagnosis, stage of detection and treatment modalities on review outcome. (Copied from article).
    Matched MeSH terms: Demography
  15. Low CC, Ong LY, Koo VC, Leow MC
    Heliyon, 2020 Sep;6(9):e05107.
    PMID: 33024875 DOI: 10.1016/j.heliyon.2020.e05107
    Digital signage is widely utilized in digital-out-of-home (DOOH) advertising for marketing and business. Recently, the combination of the digital camera and digital signage enables the advertiser to gather the audience demographic for audience measurement. Audience measurement is useful for the advertiser to understand the audience's behavior and improve their business strategies. When an audience is facing the digital display, the vision-based DOOH system will process the audience's face and broadcast a personalized advertisement. Most of the digital signage is available in an uncontrolled environment of public areas. Thus, it poses two main challenges for the vision-based DOOH system to track the audience's movement, which are multiple adjacent faces and occlusion by passer-by. In this paper, a new framework is proposed to combine the digital signage with a depth camera for tracking multi-face in the three-dimensional (3D) environment. The proposed framework extracts the audience's face centroid position (x, y) and depth information (z) and plots into the aerial map to simulate the audience's movement that is corresponding to the real-world environment. The advertiser can further measure the advertising effectiveness through the audience's behavior.
    Matched MeSH terms: Demography
  16. Priscilla D, Hamidin A, Azhar MZ, Noorjan K, Salmiah MS, Bahariah K
    Malays J Med Sci, 2011 Jul;18(3):49-56.
    PMID: 22135601 MyJurnal
    The paper examined the quality of life of haematological cancer patients according to their socio-demographic profiles and clinical diagnoses.

    Study site: Ampang Hospital, Kuala Lumpur
    Matched MeSH terms: Demography
  17. Rusdi JF, Salam S, Abu NA, Sunaryo B, Taufiq R, Muchlis LS, et al.
    Data Brief, 2019 Dec;27:104610.
    PMID: 31656841 DOI: 10.1016/j.dib.2019.104610
    This article contains dataset on the behavior of international tourists when traveling is related to 1) tourist demographics, 2) things that affect tourists to choose travel destinations when planning, 3) use of mobile data while traveling, 4) how to get internet access while traveling, 5) social media used during traveling, and 6) behavior of smartphone use for tourists during traveling. The raw data presented here can be used as material to analyze the behavior of international tourists related to any media that affects international tourists in planning their trips, and how they behave during traveling. This data is a source of raw data from our research on smartphones and international tourist behavior, besides being used for various other research purposes.
    Matched MeSH terms: Demography
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