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Deforestation and avian extinction on tropical landbridge islands

Sodhi NS, Wilcove DS, Lee TM, Sekercioglu CH, Subaraj R, Bernard H, et al.

Conserv Biol, 2010 Oct;24(5):1290-8.
PMID: 20345403 DOI: 10.1111/j.1523-1739.2010.01495.x

There are few empirical data, particularly collected simultaneously from multiple sites, on extinctions resulting from human-driven land-use change. Southeast Asia has the highest deforestation rate in the world, but the resulting losses of biological diversity remain poorly documented. Between November 2006 and March 2008, we conducted bird surveys on six landbridge islands in Malaysia and Indonesia. These islands were surveyed previously for birds in the early 1900 s, when they were extensively forested. Our bird inventories of the islands were nearly complete, as indicated by sampling saturation curves and nonparametric true richness estimators. From zero (Pulau Malawali and Pulau Mantanani) to 15 (Pulau Bintan) diurnal resident landbird species were apparently extirpated since the early 1900 s. Adding comparable but published extinction data from Singapore to our regression analyses, we found there were proportionally fewer forest bird extinctions in areas with greater remaining forest cover. Nevertheless, the statistical evidence to support this relationship was weak, owing to our unavoidably small sample size. Bird species that are restricted to the Indomalayan region, lay few eggs, are heavier, and occupy a narrower habitat breadth, were most vulnerable to extinction on Pulau Bintan. This was the only island where sufficient data existed to analyze the correlates of extinction. Forest preservation and restoration are needed on these islands to conserve the remaining forest avifauna. Our study of landbridge islands indicates that deforestation may increasingly threaten Southeast Asian biodiversity.

Matched MeSH terms: Regression Analysis
Labor markets and economic development in Malaysia

Smith JP

Res Popul Econ, 1991;7:131-56.
PMID: 12317026
Matched MeSH terms: Regression Analysis*
Demography and the canonical ensemble

Smith JD

Math Biosci, 1998 Nov;153(2):151-61.
PMID: 9825637

The Gibbs canonical ensemble of statistical mechanics is used to describe the probability distribution of the age classes of mothers of new-borns in an age-structured population. The Malthusian parameter emerges as a Lagrange multiplier corresponding to a generation time constraint, while a new perturbation parameter appears as the Lagrange multiplier corresponding to a maternity constraint. Classical Lotka stability reduces to the unperturbed case of the more general canonical ensemble model. The model is used in a case study of the female (peninsular) Malaysian population of 1970. The Malthusian parameter and perturbation are calculated easily by linear regression. Use of the model identifies an anomaly in the population due to the effects of World War II.

Matched MeSH terms: Regression Analysis
Fulltext Pengaruh ciri-ciri personal dan ciri-ciri program latihan terhadap prestasi belajar

Siti Zuliana Md Z, Siti Fardaniah Abdul A

Jurnal Psikologi Malaysia, 2018;32:12-24.

The effectiveness of training is an important aspect in the development of training. After investing a lot of money to organize a training program, the organization often wants to know about the effectiveness of training given to trainee as well as how it can gives impact to the organization. This study was conducted to evaluate the effectiveness of training tested through learning performance among trainees that undergo a transition in the Perbadanan Hal Ehwal Bekas Angkatan Tentera (PERHEBAT). In this study, personal characteristics and training program characteristics acted as the independent variables in predicting learning performance. The instrument used in this study was adapted from Trainee Characteristic Scale, Training Program Characteristic Scale and Training Effectiveness Scale by Siti Fardaniah (2013) for personal characteristics, training program characteristics and learning performance. Questionnaires to measure the dimension of training transfer for the training characteristics was adapted from the Learning Transfer System Inventory (LTSI) by Holton et al. (2000). Data obtained were analyzed using Statistical Package for Social Sciences (SPSS) version 23. The multiple linear regression analysis indicated that extrinsic orientation, self-efficacy and organizational commitment have significant influence on learning performance. Relevance of training content and learning transfer design also affecedt learning performance. Findings in this study can be used as a reference to improve training effectiveness by focusing on personal characteristics and training characteristics conducted in PERHEBAT.

Matched MeSH terms: Regression Analysis
Knowledge, attitude and practice of food utensils hygiene amongst food handlers in Kuala Pilah, Negeri Sembilan, Malaysia

Siti Nurul Ain Saipullizan, Razalee Sedek, Sahilah Abd. Mutalib

Sains Malaysiana, 2018;47:1527-1533.

This study aimed to evaluate the level of knowledge, attitude and practice (KAP) amongst food handlers in food utensils
hygiene and presence of bacterial contamination on food utensils. There were two approaches used in this study. In the
first approach, 134 of food handlers from 75 food premises were interviewed via questionnaires to assess their knowledge,
attitude and practice. In the second approach, the presence of Staphylococcus aureus, Escherichia coli and total coliform
of 225 utensils (knives (75), chopping boards (75) and dish plates (75)) was examined. The result showed that the food
handlers had sufficient level of knowledge (80.5%), attitude (87.4%) and practice (90.1%). Highest contamination was
found on the chopping boards for the presence of S. aureus (82.8%), E. coli (9.7%) and total coliform (73.9%). Logistic
regression analysis showed that knowledge contributes to the presence of E. coli on the dish plates; and total coliform
on the knives. Thus, ongoing training that focused on food utensils hygiene must be emphasized to improve knowledge,
attitude and practice amongst the food handlers.

Matched MeSH terms: Regression Analysis
Fulltext Development of Linear Regression Model for tile waste generation in Malaysian construction industry

Siti Hafizan Hassan, Hamidi Abdul Aziz, Mohd Samsudin Abdul Hamid, Siti Rashidah Mohd Nasir, Suhailah Mohamed Noor

ESTEEM Academic Journal, 2019;15(2):11-23.
MyJurnal

The effect of unmanageable construction waste is an unstable land settlement and groundwater pollution. In addition to environmental pollution, construction waste could incur construction cost. The most construction waste is the material used at sites and tile is also a part of the waste generated in construction. The objectives of this study are to determine the tile waste generated in construction stages and linear regression analysis for the amount of tile waste generated. The method used in this study was the Linear Regression Model. The regression model established in the sample data reported an R2 value of 0.793; therefore, the model can predict approximately 79.3% of the factor (area) of tile waste generation. The linear regressions can be applied as tools to predict the tile waste generated at construction sites and help the contractor to track the sources of missing waste.

Matched MeSH terms: Regression Analysis
The sources of the Kuznets relationship between the road deaths to road injuries ratio and economic growth

Sirajudeen AO, Law TH, Wong SV, Jakarni FM, Ng CP

J Safety Res, 2021 09;78:262-269.
PMID: 34399922 DOI: 10.1016/j.jsr.2021.06.007

INTRODUCTION: Past empirical studies indicated that there is a Kuznets or reverse U-shaped relationship between road deaths and per capita income, such that the number of road death increases at a low level of per capita reverse U-shaped relationship was observed between road injuries and per capita income. While these studies explored the impact of per capita income on road deaths and road injuries, no studies have examined the relationship between per capita income and road death to road injury ratio (DPI).
METHOD: Using a fixed effects panel regression analysis from 67 countries spanning over a period of five decades (1960-2013), the present study sought to explore the impact of per capita gross domestic product (per capita GDP) on the DPI ratio and the underlying factors responsible for the relationship.
RESULTS: Our result suggests that per capita GDP followed a reverse U-shaped relationship with DPI. Moreover, the relative improvements in higher mobility roads as compared to improvements in higher accessibility roads, motorcycle ownership to passenger car ownership ratio, percentage of population living in an urban area, infant mortality rate, and the percentage of population below 15 years of age and above 64 years of age contributed to this relationship. Practical Applications: This implies that, at lower level of economic growth where road deaths exceed road injuries, countries should implement low-cost measures to combat road deaths cases. Such measures include mandating wearing of quality helmets and daytime running headlights for motorcycles. On the other hand, at higher level of economic growth where road injuries surpass road deaths, countries are encouraged to devote more resources to improving medical technology and services to treat road injury victims, mandating seatbelt use, as well as enhancing and promoting public transportation service.

Matched MeSH terms: Regression Analysis
Fulltext Comparative study of PGA and INAA for analyses of meteorite samples

Siong, Wee Boon, Ebihara, Mitsuru

Jurnal Sains Nuklear Malaysia, 2011;23(2):74-80.
MyJurnal

Prompt gamma-ray analysis (PGA) and instrumental neutron activation analysis (INAA) are essential for the study of rare samples such as meteorites because of non-destructivity and relatively being free from contaminations. The objective of this research is to utilize PGA and INAA techniques for comparative study and apply them to meteorite analyses. In this study, 11 meteorite samples received from the Meteorite Working Group of NASA were analyzed. The Allende meteorite powder was included as quality control material. Results from PGA and INAA for Allende showed in good agreement with literature values, signifying the reliabilities of these two methods. Elements Al, Ca, Mg, Mn, Na and Ti were determined by both methods and their results are compared. Comparison of PGA and INAA data using linear regression analysis showed correlations coefficients r2 > 0.90 for Al, Ca, Mn and Ti, 0.85 for Mg, and 0.38 for Na. The PGA results for Na using 472 keV were less accurate due to the interference from the broad B peak. Therefore, Na results from INAA method are preferred. For other elements (Al, Ca, Mg, Mn and Ti), PGA and INAA results can be used as cross-reference for consistency. The PGA and INAA techniques have been applied to meteorite samples and results are comparable to literature values compiled from previously analyzed meteorites. In summary, both PGA and INAA methods give reasonably good agreement and are indispensable in the study of meteorites.

Matched MeSH terms: Regression Analysis
Fulltext Spirometric studies in Malaysians between 13 and 69 years of age

Singh R, Singh HJ, Sirisinghe RG

Med J Malaysia, 1993 Jun;48(2):175-84.
PMID: 8350793

Spirometry was performed on 1,999 subjects (1,385 males and 614 females) ranging in age from 13 to 69 years and comprising of all the main races in Malaysia. They were divided into 6 age groups. Mean forced vital capacity (FVC) in the males and females was 3.49 +/- 0.02 L and 2.51 +/- 0.02 L respectively. Both FVC and FEV1 correlated negatively with age. Regression analysis on data between the ages of 20 to 69 years revealed an age-related decline in FVC of about 30 ml per year of life in the males and 22 ml per year in the females. Multiple stepwise regression of the data for the prediction of an individual's FVC above the age of 20 years gave an equation for the males: FVC = 0.0407 (height)-0.0296 (age)-2.343 L and for the females: FVC = 0.031 (height)-0.022 (age)-1.64 L. Predicted FVC values derived from equations based on other populations were considerably higher than the observed mean in this study, re-emphasizing the need to be cautious when applying formulae derived from one population to another. Grossly erroneous conclusions may be reached unless predicted equations for lung-function tests for a given population group are derived from studies based upon the same population group.

Matched MeSH terms: Regression Analysis
Cardiopulmonary fitness in a sample of Malaysian population

Singh R, Singh HJ, Sirisinghe RG

Jpn. J. Physiol., 1989;39(4):475-85.
PMID: 2601189

Lung capacity and maximum oxygen uptake (VO2max) were measured directly in 167 healthy males, from all the main races in Malaysia. Their ages ranged from 13 to 59 years. They were divided into five age groups (A to E), ranging from the second to the sixth decade. Lung capacities were determined using a dry spirometer and VO2max was taken as the maximum rate of oxygen consumption during exhaustive exercise on a cycle ergometer. Mean forced vital capacity (FVC) was 3.3 +/- 0.5 l and it correlated negatively with age. Mean VO2max was 3.2 +/- 0.2 l.min-1 (56.8 +/- 3.5 ml.kg-1.min-1) in Group A (13-19 years) compared to 1.7 +/- 0.2 l.min-1 (28.9 +/- 2.9 ml.kg-1.min-1) in Group E (50-59 years). Regression analysis revealed an age-related decline in VO2max of 0.77 ml.kg-1.min-1.year-1. Multiple regression of the data gave the following equations for the prediction of an individual's VO2max: VO2max (l.min-1) = 1.99 + 0.035 (weight)-0.04 (age), VO2max (ml.kg-1.min-1) = 67.7-0.77 (age), where age is in years, weight in kg. In terms of VO2max as an index of cardiopulmonary performance. Malaysians have a relatively lower capacity when related to the Swedish norms or even to those of some Chilean workers. Malaysians were, however, within the average norms of the American Heart Association's recommendations. Age-related decline in VO2max was also somewhat higher in the Malaysians.

Matched MeSH terms: Regression Analysis
Fulltext Cardiopulmonary capacities of Malaysian females

Singh R, Singh HJ, Sirisinghe RG

Singapore Med J, 1995 Apr;36(2):169-72.
PMID: 7676261

Aerobic capacity (VO2max) and lung capacities were measured in 66 healthy females ranging in age from 13 to 49 years. Forced vital capacity (FVC) and peak expiratory flow rate (PEFR) were measured using a dry spirometer and Wrights peak flow meter respectively. Cardiopulmonary parameters were obtained from a progressive ergocycle test to exhaustion. Mean FVC and PEFR obtained were 2.73 +/- 0.07 L and 412 +/- 8.5 L/min respectively. FVC correlated negatively with age in subjects from the 3rd to 5th decade of age (r = 0.38, p < 0.05). Mean VO2max was 43.2 +/- 0.9 ml/kg/min in the 2nd decade compared to 30.3 +/- 0.7 ml/kg/min in the fifth decade. Regression analysis revealed an age related decline in VO2max of 0.45 +/- 0.8 ml/kg/min/year, which was found to be somewhat higher compared to other studies.

Matched MeSH terms: Regression Analysis
Malaysian pharmacy students' intention to provide smoking cessation counseling

Simansalam S, Hadijah Shamsudin S, Mohamed MHN

Curr Pharm Teach Learn, 2017 Sep;9(5):918-924.
PMID: 29233325 DOI: 10.1016/j.cptl.2017.05.022

BACKGROUND AND PURPOSE: Malaysian National Quit Smoking Program had proposed to integrate smoking cessation counseling skills into all relevant healthcare curricula as one of its strategies to increase the number of Malaysians giving up smoking. More effective implementation of the curricula can be facilitated by further understanding the factors influencing students' intention in terms of providing smoking cessation counseling. This study, guided by Integrated Behavior Model (IBM), aimed to explore the factors which influenced pharmacy undergraduates in providing smoking cessation counseling.
EDUCATIONAL ACTIVITY AND SETTING: Following the elicitation study, the IBM-guided questionnaire was developed and distributed to students from two pharmacy schools which agreed to participate, each representing public and private institutions.
FINDINGS: A total of 387 pharmacy students participated yielding a 83% response rate. Multiple regression analysis revealed that all three, namely, attitude (23%), perceived norm (16%), and personal agency (16%) were significant predictors of students' intention. Further analysis revealed 'experiential attitude', a component of attitude as the strongest predictor. In other words, students who felt more comfortable had higher intention to provide smoking cessation counseling.
SUMMARY: An implication of this study is that tobacco-related curricula with an emphasis to enhance students' comfort level in providing counseling would be of value for these future pharmacists in terms of their intention as well as actual provision of smoking cessation counseling through the mediation of "experiential attitude" and personal agency.

Matched MeSH terms: Regression Analysis
Fulltext Blood pressure in rural and urban adult healthy females of Jat Sikh community in Punjab, North India: an epidemiologic profile

Sidhu S, Badaruddoza, Kaur A

Med J Malaysia, 2004 Jun;59(2):233-41.
PMID: 15559175

Blood pressure readings were collected from 1042 adult females of rural and urban Jat Sikh community of Punjab, a north Indian State. Anthropometric measurements like height, weight and skinfold thickness were also collected. The difference between rural and urban females in systolic, diastolic and mean arterial blood pressure was found to be statistically significant. All anthropometric variables and age have a significant positive association with blood pressure. The effects of anthropometric variables on blood pressure were assessed simultaneously through stepwise multiple regression analysis. All 'F' ratios have been found highly significant (p < 0.001) among both rural and urban female population.

Matched MeSH terms: Regression Analysis
Chemical composition and antioxidant properties of candlenut oil extracted by supercritical CO2

Siddique BM, Ahmad A, Alkarkhi AF, Ibrahim MH, K MO

J Food Sci, 2011 May;76(4):C535-42.
PMID: 22417332 DOI: 10.1111/j.1750-3841.2011.02146.x

Candlenut oil was extracted using supercritical CO(2) (SC-CO(2)) with an optimization of parameters, by the response surface methodology. The ground candlenut samples were treated in 2 different ways, that is, dried in either a heat oven (sample moisture content of 2.91%) or dried in a vacuum oven (sample moisture content of 1.98%), before extraction. An untreated sample (moisture content of 4.87%) was used as a control. The maximum percentage of oil was extracted from the heat-oven-dried sample (77.27%), followed by the vacuum-oven-dried sample (74.32%), and the untreated sample (70.12%). At an SC-CO(2) pressure of 48.26 Mpa and 60 min of extraction time, the optimal temperatures for extraction were found to be 76.4 °C, 73.9 °C, and 70.6 °C for the untreated, heat-oven-dried, and vacuum-oven-dried samples, respectively. The heat-oven-dried sample contains the highest percentage of linoleic acid, followed by the untreated and vacuum-oven-dried samples. The antiradical activity of candlenut oil corresponded to an IC(50) value of 30.37 mg/mL.

Matched MeSH terms: Regression Analysis
Fulltext Higher body mass index and lower intake of dairy products predict poor glycaemic control among Type 2 Diabetes patients in Malaysia

Shu PS, Chan YM, Huang SL

PLoS One, 2017;12(2):e0172231.
PMID: 28234927 DOI: 10.1371/journal.pone.0172231

This cross-sectional study was designed to determine factors contributing to glyceamic control in order to provide better understanding of diabetes management among Type 2 Diabetes patients. A pre-tested structured questionnaire was used to obtain information on socio-demographic and medical history. As a proxy measure for glycaemic control, glycosylated haemoglobin (HbA1c) was obtained as secondary data from the medical reports. Perceived self-care barrier on diabetes management, diet knowledge and skills, and diet quality were assessed using pretested instruments. With a response rate of 80.3%, 155 subjects were recruited for the study. Mean HbA1c level of the subjects was 9.02 ± 2.25% with more than 70% not able to achieve acceptable level in accordance to WHO recommendation. Diet quality of the subjects was unsatisfactory especially for vegetables, fruits, fish and legumes as well as from the milk and dairy products group. Higher body mass index (BMI), poorer medication compliance, lower diet knowledge and skill scores and lower intake of milk and dairy products contributed significantly on poor glycaemic control. In conclusion, while perceived self-care barriers and diet quality failed to predict HbA1c, good knowledge and skill ability, together with appropriate BMI and adequate intake of dairy products should be emphasized to optimize glycaemic control among type 2 diabetes patients.

Matched MeSH terms: Regression Analysis
Fulltext The Influence of Neurocognitive Impairment, Depression, and Alcohol Use Disorders on Health-Related Quality of Life among Incarcerated, HIV-Infected, Opioid Dependent Malaysian Men: A Moderated Mediation Analysis

Shrestha R, Weikum D, Copenhaver M, Altice FL

AIDS Behav, 2017 Apr;21(4):1070-1081.
PMID: 27544515 DOI: 10.1007/s10461-016-1526-3

Prior research has widely recognized neurocognitive impairment (NCI), depression, and alcohol use disorders (AUDs) as important negative predictors of health-related quality of life (HRQoL) among people living with HIV (PLWH). No studies to date, however, have explored how these neuropsychological factors operate together and affect HRQoL. Incarcerated male PLWH (N = 301) meeting criteria for opioid dependence were recruited from Malaysia's largest prison. Standardized scales for NCI, depression, alcohol use disorders (AUDs) and HRQoL were used to conduct a moderated mediation model to explore the extent to which depression mediated the relationship between NCI, HRQoL, and AUDs using an ordinary least squares regression-based path analytic framework. Results showed that increasing levels of NCI (B = -0.1773, p

Matched MeSH terms: Regression Analysis
Fulltext A Moderated Mediation Model of HIV-Related Stigma, Depression, and Social Support on Health-Related Quality of Life among Incarcerated Malaysian Men with HIV and Opioid Dependence

Shrestha R, Copenhaver M, Bazazi AR, Huedo-Medina TB, Krishnan A, Altice FL

AIDS Behav, 2017 Apr;21(4):1059-1069.
PMID: 28108877 DOI: 10.1007/s10461-017-1693-x

Although it is well established that HIV-related stigma, depression, and lack of social support are negatively associated with health-related quality of life (HRQoL) among people living with HIV (PLH), no studies to date have examined how these psychosocial factors interact with each other and affect HRQoL among incarcerated PLH. We, therefore, incorporated a moderated mediation model (MMM) to explore whether depression mediates the effect of HIV-related stigma on HRQoL as a function of the underlying level of social support. Incarcerated HIV-infected men with opioid dependence (N = 301) were recruited from the HIV units in Kajang prison in Malaysia. Participants completed surveys assessing demographic characteristics, HIV-related stigma, depression, social support, and HRQoL. Results showed that the effect of HIV-related stigma on HRQoL was mediated via depression (a1:β = 0.1463, p

Matched MeSH terms: Regression Analysis
Association of ABO blood group B with myocardial infarction

Sheikh MK, Bahari MB, Yusoff NM, Knight A

J Coll Physicians Surg Pak, 2009 Aug;19(8):514-7.
PMID: 19651016 DOI: 08.2009/JCPSP.514517

The purpose of this study was to find out the association between blood group B and Myocardial Infarction (MI) in sample population in Malaysia.

Matched MeSH terms: Regression Analysis
Fulltext Preparation and Evaluation of the ZnO NP-Ampicillin/Sulbactam Nanoantibiotic: Optimization of Formulation Variables Using RSM Coupled GA Method and Antibacterial Activities

Sharma N, Singh V, Pandey AK, Mishra BN, Kulsoom M, Dasgupta N, et al.

Biomolecules, 2019 11 21;9(12).
PMID: 31766572 DOI: 10.3390/biom9120764

Nanoparticles (NPs) possessing antibacterial activity represent an effective way of overcoming bacterial resistance. In the present work, we report a novel formulation of a nanoantibiotic formed using Ampicillin/sulbactam (Ams) and a zinc oxide nanoparticle (ZnO NP). 'ZnO NP-Ams' nanoantibiotic formulation is optimized using response surface methodology coupled genetic algorithm approach. The optimized formulation of nanoantibiotic (ZnO NP: 49.9 μg/mL; Ams: 33.6 μg/mL; incubation time: 27 h) demonstrated 15% enhanced activity compared to the unoptimized formulation against K. pneumoniae. The reactive oxygen species (ROS) generation was directly proportional to the interaction time of nanoantibiotic and K. pneumoniae after the initial lag phase of ~18 h as evident from 2'-7'-Dichlorodihydrofluorescein diacetate assay. A low minimum inhibitory concentration (6.25 μg/mL) of nanoantibiotic formulation reveals that even a low concentration of nanoantibiotic can prove to be effective against K. pneumoniae. The importance of nanoantibiotic formulation is also evident by the fact that the 100 μg/mL of Ams and 25 µg of ZnO NP was required individually to inhibit the growth of K. pneumonia, whereas only 6.25 μg/mL of optimized nanoantibiotic formulation (ZnO NP and Ams in the ratio of 49.9: 33.6 in μg/mL and conjugation time of 27 h) was needed for the same.

Matched MeSH terms: Regression Analysis
New method for distance-based close following safety indicator

Sharizli AA, Rahizar R, Karim MR, Saifizul AA

Traffic Inj Prev, 2015;16(2):190-5.
PMID: 24827899 DOI: 10.1080/15389588.2014.921913

The increase in the number of fatalities caused by road accidents involving heavy vehicles every year has raised the level of concern and awareness on road safety in developing countries like Malaysia. Changes in the vehicle dynamic characteristics such as gross vehicle weight, travel speed, and vehicle classification will affect a heavy vehicle's braking performance and its ability to stop safely in emergency situations. As such, the aim of this study is to establish a more realistic new distance-based safety indicator called the minimum safe distance gap (MSDG), which incorporates vehicle classification (VC), speed, and gross vehicle weight (GVW).

Matched MeSH terms: Regression Analysis

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