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Atomic Force Microscopy of Hydrolysed Polyacrylamide Adsorption onto Calcium Carbonate

Lew JH, Matar OK, Müller EA, Luckham PF, Sousa Santos A, Myo Thant MM

Polymers (Basel), 2023 Oct 10;15(20).
PMID: 37896286 DOI: 10.3390/polym15204037

In this work, the interaction of hydrolysed polyacrylamide (HPAM) of two molecular weights (F3330, 11-13 MDa; F3530, 15-17 MDa) with calcium carbonate (CaCO3) was studied via atomic force microscopy (AFM). In the absence of polymers at 1.7 mM and 1 M NaCl, good agreement with DLVO theory was observed. At 1.7 mM NaCl, repulsive interaction during approach at approximately 20 nm and attractive adhesion of approximately 400 pN during retraction was measured, whilst, at 1 M NaCl, no repulsion during approach was found. Still, a significantly larger adhesion of approximately 1400 pN during retraction was observed. In the presence of polymers, results indicated that F3330 displayed higher average adhesion (450-625 pN) and interaction energy (43-145 aJ) with CaCO3 than F3530's average adhesion (85-88 pN) and interaction energy (8.4-11 aJ). On the other hand, F3530 exerted a longer steric repulsion distance (70-100 nm) than F3330 (30-70 nm). This was likely due to the lower molecular weight. F3330 adopted a flatter configuration on the calcite surface, creating more anchor points with the surface in the form of train segments. The adhesion and interaction energy of both HPAM with CaCO3 can be decreased by increasing the salt concentration. At 3% NaCl, the average adhesion and interaction energy of F3330 was 72-120 pN and 5.6-17 aJ, respectively, while the average adhesion and interaction energy of F3530 was 11.4-48 pN and 0.3-2.98 aJ, respectively. The reduction of adhesion and interaction energy was likely due to the screening of the COO- charged group of HPAM by salt cations, leading to a reduction of electrostatic attraction between the negatively charged HPAM and the positively charged CaCO3.
Fulltext Molecular Dynamics Simulation of Polyacrylamide Adsorption on Calcite

Hue KY, Lew JH, Myo Thant MM, Matar OK, Luckham PF, Müller EA

Molecules, 2023 Aug 31;28(17).
PMID: 37687196 DOI: 10.3390/molecules28176367

In poorly consolidated carbonate rock reservoirs, solids production risk, which can lead to increased environmental waste, can be mitigated by injecting formation-strengthening chemicals. Classical atomistic molecular dynamics (MD) simulation is employed to model the interaction of polyacrylamide-based polymer additives with a calcite structure, which is the main component of carbonate formations. Amongst the possible calcite crystal planes employed as surrogates of reservoir rocks, the (1 0 4) plane is shown to be the most suitable surrogate for assessing the interactions with chemicals due to its stability and more realistic representation of carbonate structure. The molecular conformation and binding energies of pure polyacrylamide (PAM), hydrolysed polyacrylamide in neutral form (HPAM), hydrolysed polyacrylamide with 33% charge density (HPAM 33%) and sulfonated polyacrylamide with 33% charge density (SPAM 33%) are assessed to determine the adsorption characteristics onto calcite surfaces. An adsorption-free energy analysis, using an enhanced umbrella sampling method, is applied to evaluate the chemical adsorption performance. The interaction energy analysis shows that the polyacrylamide-based polymers display favourable interactions with the calcite structure. This is attributed to the electrostatic attraction between the amide and carboxyl functional groups with the calcite. Simulations confirm that HPAM33% has a lower free energy than other polymers, presumably due to the presence of the acrylate monomer in ionised form. The superior chemical adsorption performance of HPAM33% agrees with Atomic Force Microscopy experiments reported herein.
Fulltext Assessing wellbeing: Profiling and socioeconomic status of Kenyir Lake side community, Malaysia

Ab Manaf N, Sa'at NH, A Rahim NAA, Kamaruddin SNAA, Abdullah SS, Omar K

Heliyon, 2023 Jun;9(6):e16399.
PMID: 37303545 DOI: 10.1016/j.heliyon.2023.e16399

The Kenyir Lake side community offers numerous advantages to the local community. However, the problems of backwardness and poverty have been identified as the government's main challenges in its efforts to develop the community and maximise the advantages. Therefore, this study was conducted to identify the Kenyir Lake community's profile and assess its well-being. The study was conducted in three sub-districts near Tasik Kenyir, namely Kuala Berang, Hulu Telemong, and Jenagor, with a total of 510 respondents, who are heads of households (HOH). This study was carried out using a quantitative approach using questionnaire with a simple random sampling method. The findings of this study offered demographic profiling and discovered nine indicators of well-being, namely 1) Life Achievement, 2) Health Level, 3) Family Relationship, 4) Community Relationship, 5) Spiritual Level, 6) Safety Level and Social Problems, 7) Income or Finance, 8) Basic Facilities, and 9) Communication Technology. The study found that most respondents are satisfied with their lives now compared to 10 years ago. This study will help many parties to develop the Kenyir Lake Side Community, starting from the local authorities to the highest administration in the country.
Fulltext Risk stratification and assessment framework for international travel and border measures amidst the COVID-19 pandemic - A Malaysian perspective

Omar K, Baha Raja D, Abdul Taib NA, Rajaram N, Ahmed J, Arvinder-Singh HS, et al.

Travel Med Infect Dis, 2022;47:102318.
PMID: 35342008 DOI: 10.1016/j.tmaid.2022.102318

BACKGROUND: Guided by the best practices adapted from national and international bodies including the World Health Organization (WHO), the Centers for Disease Control (CDC), and the UK Joint Biosecurity Centre (JBC), this paper aims to develop and provide an empirical risk stratification and assessment framework for advancing the safe resumption of global travel during the COVID-19 pandemic.
METHOD: Variables included in our model are categorized into four pillars: (i) incidence of cases, (ii) reliability of case data, (iii) vaccination, and (iv) variant surveillance. These measures are combined based on weights that reflect their corresponding importance in risk assessment within the context of the pandemic to calculate the risk score for each country. As a validation step, the outcome of the risk stratification from our model is compared against four countries.
RESULTS: Our model is found to have good agreement with these benchmarked risk designations for 27 out of the top 30 countries with the strongest travel ties to Malaysia (90%). Each factor within this model signifies its importance and can be adapted by governing bodies to address the changing needs of border control policies for the recommencement of international travel.
CONCLUSION: In practice, the proposed model provides a turnkey solution for nations to manage transmission risk by enabling stakeholders to make informed, evidence-based decisions to minimize fluctuations of imported cases and serves as a structure to support the improvement, planning, and activation of public health control measures.
Fulltext The mediating effect of interpersonal distrust on the relationship between perceived organizational politics and workplace ostracism in higher education institutions

Karim DN, Abdul Majid AH, Omar K, Aburumman OJ

Heliyon, 2021 Jun;7(6):e07280.
PMID: 34258449 DOI: 10.1016/j.heliyon.2021.e07280

Despite a widespread consensus towards the implications of workplace ostracism to employees, little research attention has been paid to exploring its determinants, especially in the educational sector. In the context of higher education institutions, workplace ostracism can lead to a number of undesired outcomes, such as deviant workplace behavior, turnover, and decreased job performance. Thus, this study aims to explore the role of perceived organizational politics in promoting workplace ostracism. Drawing on the social exchange theory, the study also attempts to identify the mediating role of interpersonal distrust in the relationship between perceived organizational politics and workplace ostracism in higher education institutions. Data were conveniently collected from 154 full-time faculty members serving in five public universities in Bangladesh. To test the research hypotheses, the study employed partial least squares path modeling. The findings revealed that there is a significant positive association between perceived organizational politics and workplace ostracism and that interpersonal distrust plays an intervening role in the relationship. These results highlight the role of perceived organizational politics and interpersonal distrust in shaping academics' workplace ostracism. Based on the findings, the study suggests both practical and theoretical implications with directions for future research.
Fulltext Knowledge, Attitude, and Practice of Oral Hygiene Among Students of a Private University

Iqbal MZ, Rathi R, Prajapati SK, Omar K, Bahari MB, Rajan S, et al.

J Pharm Bioallied Sci, 2021;13(1):123-128.
PMID: 34084058 DOI: 10.4103/jpbs.JPBS_298_20

OBJECTIVE: The objective of the study was to evaluate the knowledge, attitude, and practice among pre-final and final year students of pharmacy, medicine, biotechnology, and business faculties about oral hygiene.
MATERIALS AND METHODS: A cross-sectional observational study was conducted to evaluate the knowledge, attitude, and practice of students towards oral hygiene at a private university in Malaysia. Validated questionnaires were distributed to a convenient stratified sample of 324 students studying in the different selected faculties, namely pharmacy, medicine, biotechnology, and business, respectively. The Statistical Package for Social Science (SPSS) Version 24.0 was used to analyze the data.
RESULTS: With regard to knowledge, upon evaluation, it was seen that the students of the Faculty of Pharmacy had the highest percentage of adequate knowledge, which was statistically significant with a P-value of 0.001 and the effect size of 0.246. On the evaluation of attitudes, it was seen that the Faculty of Biotechnology had the highest positive attitudes. According to race, Malay students had the highest positive attitude among all the races that participated in the study, which showed a P-value of 0.037 with the effect size of 0.034. Regarding practice, the Faculty of Pharmacy had the lowest practice compared with the other faculties. This variable had a P-value of 0.001 and showed to have significance against the practice with an effect size of 0.193.
CONCLUSION: Overall, a good attitude was seen amongst the students on their oral hygiene. It was also observed that the attitude, knowledge, and practice of the students in a private university increased with an increasing level of education.
Fulltext Gaussian smoothing and modified histogram normalization methods to improve neural-biomarker interpretations for dyslexia classification mechanism

Usman OL, Muniyandi RC, Omar K, Mohamad M

PLoS One, 2021;16(2):e0245579.
PMID: 33630876 DOI: 10.1371/journal.pone.0245579

Achieving biologically interpretable neural-biomarkers and features from neuroimaging datasets is a challenging task in an MRI-based dyslexia study. This challenge becomes more pronounced when the needed MRI datasets are collected from multiple heterogeneous sources with inconsistent scanner settings. This study presents a method of improving the biological interpretation of dyslexia's neural-biomarkers from MRI datasets sourced from publicly available open databases. The proposed system utilized a modified histogram normalization (MHN) method to improve dyslexia neural-biomarker interpretations by mapping the pixels' intensities of low-quality input neuroimages to range between the low-intensity region of interest (ROIlow) and high-intensity region of interest (ROIhigh) of the high-quality image. This was achieved after initial image smoothing using the Gaussian filter method with an isotropic kernel of size 4mm. The performance of the proposed smoothing and normalization methods was evaluated based on three image post-processing experiments: ROI segmentation, gray matter (GM) tissues volume estimations, and deep learning (DL) classifications using Computational Anatomy Toolbox (CAT12) and pre-trained models in a MATLAB working environment. The three experiments were preceded by some pre-processing tasks such as image resizing, labelling, patching, and non-rigid registration. Our results showed that the best smoothing was achieved at a scale value, σ = 1.25 with a 0.9% increment in the peak-signal-to-noise ratio (PSNR). Results from the three image post-processing experiments confirmed the efficacy of the proposed methods. Evidence emanating from our analysis showed that using the proposed MHN and Gaussian smoothing methods can improve comparability of image features and neural-biomarkers of dyslexia with a statistically significantly high disc similarity coefficient (DSC) index, low mean square error (MSE), and improved tissue volume estimations. After 10 repeated 10-fold cross-validation, the highest accuracy achieved by DL models is 94.7% at a 95% confidence interval (CI) level. Finally, our finding confirmed that the proposed MHN method significantly outperformed the normalization method of the state-of-the-art histogram matching.
Fulltext Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection

Albadr MAA, Tiun S, Ayob M, Al-Dhief FT, Omar K, Hamzah FA

PLoS One, 2020;15(12):e0242899.
PMID: 33320858 DOI: 10.1371/journal.pone.0242899

The coronavirus disease (COVID-19), is an ongoing global pandemic caused by severe acute respiratory syndrome. Chest Computed Tomography (CT) is an effective method for detecting lung illnesses, including COVID-19. However, the CT scan is expensive and time-consuming. Therefore, this work focus on detecting COVID-19 using chest X-ray images because it is widely available, faster, and cheaper than CT scan. Many machine learning approaches such as Deep Learning, Neural Network, and Support Vector Machine; have used X-ray for detecting the COVID-19. Although the performance of those approaches is acceptable in terms of accuracy, however, they require high computational time and more memory space. Therefore, this work employs an Optimised Genetic Algorithm-Extreme Learning Machine (OGA-ELM) with three selection criteria (i.e., random, K-tournament, and roulette wheel) to detect COVID-19 using X-ray images. The most crucial strength factors of the Extreme Learning Machine (ELM) are: (i) high capability of the ELM in avoiding overfitting; (ii) its usability on binary and multi-type classifiers; and (iii) ELM could work as a kernel-based support vector machine with a structure of a neural network. These advantages make the ELM efficient in achieving an excellent learning performance. ELMs have successfully been applied in many domains, including medical domains such as breast cancer detection, pathological brain detection, and ductal carcinoma in situ detection, but not yet tested on detecting COVID-19. Hence, this work aims to identify the effectiveness of employing OGA-ELM in detecting COVID-19 using chest X-ray images. In order to reduce the dimensionality of a histogram oriented gradient features, we use principal component analysis. The performance of OGA-ELM is evaluated on a benchmark dataset containing 188 chest X-ray images with two classes: a healthy and a COVID-19 infected. The experimental result shows that the OGA-ELM achieves 100.00% accuracy with fast computation time. This demonstrates that OGA-ELM is an efficient method for COVID-19 detecting using chest X-ray images.
Fulltext Degraded Historical Document Binarization: A Review on Issues, Challenges, Techniques, and Future Directions

Sulaiman A, Omar K, Nasrudin MF

J Imaging, 2019 Apr 12;5(4).
PMID: 34460486 DOI: 10.3390/jimaging5040048

In this era of digitization, most hardcopy documents are being transformed into digital formats. In the process of transformation, large quantities of documents are stored and preserved through electronic scanning. These documents are available from various sources such as ancient documentation, old legal records, medical reports, music scores, palm leaf, and reports on security-related issues. In particular, ancient and historical documents are hard to read due to their degradation in terms of low contrast and existence of corrupted artefacts. In recent times, degraded document binarization has been studied widely and several approaches were developed to deal with issues and challenges in document binarization. In this paper, a comprehensive review is conducted on the issues and challenges faced during the image binarization process, followed by insights on various methods used for image binarization. This paper also discusses the advanced methods used for the enhancement of degraded documents that improves the quality of documents during the binarization process. Further discussions are made on the effectiveness and robustness of existing methods, and there is still a scope to develop a hybrid approach that can deal with degraded document binarization more effectively.
Fulltext Is it safe to prescribe triple drugs therapy for lymphatic filariasis infection in Epidermolysis Bullosa patient? a case report

S. Izuddin, Nur Dalila Zakaria, Nur L. A., Omar K. K.

Malaysian Journal of Medicine and Health Sciences, 2019;15(106):85-85.
MyJurnal

Introduction:Filariasis is an endemic infection in tropical and subtropical countries. The disease is caused by para-sites from the group filarodidae. Epidermolysis Bullosa, on the other hand is a group of rare genetic skin diseases that characterize by skin blister and erode facilely. Due to rarity of Epidermolysis Bullosa and uncommon occurrence of Filariasis, there is extremely limited case or paper reporting on safety profile of medication that are used to treat Filariasis patient with underlying Epidermolysis Bullosa.Serious adverse event that is anticipated in this cohort of patient are Stevens-Johnson syndrome and Mazotti reaction. Case description: Surveillance activity is necessary in high endemic localities in Sabah in order to control the spread of this mosquitoes-borne disease. The available tool is Brugia RapidTM kit, a test kit that detects filarial antibodies.A 13 year-old boy with underlying Epidemolysis Bullosa Simplex was detected during surveillance activities. It was further confirmed with night blood on microscopic slide that depicted high density of parasite (microfilaria count: 31). The WHO specifically exempted the following groups from the treatment - children under 5 years of age; pregnant women; and seriously ill individuals i.e. those who are having acute or chronic illness that makes them too sick or weak to get out of bed; and those with an illness who are life-dependent on medical intervention. This is because ingestion of the medications can result in adverse events due to the destruction of killed parasites. No guideline is available for treatment of lymphatic filariasis in rare genetic disorders. Conclusion: The recommended dosage for IDA is Ivermectin 3mcg/kg, Diethylcarbamazine 6mg/kg and Albendazole 400mg for positive patient yearly. Patient was admitted in hospital for observation treatment with the suggested dose. From the case study it shows it is safe to treat this cohort patient. However, it is advisable to treat such rare cases by case basis and in comparison to others where treatment is given in the community this patients should be treat in more control environment such in the hospital.
Fulltext The effect of kelulut honey on fasting blood glucose and metabolic parameters in patients with impaired fasting glucose

Rashid MR, Nor Aripin KN, Syed Mohideen FB, Baharom N, Omar K, Md Taujuddin NMS, et al.

J Nutr Metab, 2019;2019:3176018.
PMID: 30863635 DOI: 10.1155/2019/3176018

Background: Impaired fasting glucose (IFG) poses a higher risk of diabetes. Honey has been reported to improve metabolic abnormalities including lowering hyperglycemia. This study is sought at determining the effect of Malaysian Kelulut honey (KH) on fasting glucose levels and metabolic parameters in IFG patients.
Methods: This quasi-experimental intervention study of 30-day duration was conducted among 60 adult patients with IFG. They were allocated into taking 30 g/day KH group (experimental group, n=30) and not taking KH group (control group, n=30). Body mass index (BMI), waist circumference, blood pressure (BP), fasting glucose, and lipid profile levels (total cholesterol, triglyceride, high-density lipoprotein, and low-density lipoprotein) were measured before and after treatment.
Results: There was no significant difference in all measured variables at day 30 compared to day 1 within both groups. Similarly, all measured variables neither at day 1 nor at day 30 had shown a statistically significant difference between the groups.
Conclusions: Daily intake of 30 g KH for 30 days resulted in insignificant effect on fasting glucose, fasting lipid profiles, and other metabolic parameters in patients with IFG. Further studies that employ longer study duration are needed to ascertain the finding.
Study site: Universiti Sains Islam Malaysia (USIM) Specialist Centre, Negeri Sembilan, Malaysia, and Faculty of Medicine and Health Sciences, Kuala Lumpur in Malaysia.
Fulltext Clinical and Sociodemographic Predictors of the Quality of Life among Patients with Type 2 Diabetes Mellitus on the East Coast of Peninsular Malaysia

Jusoh Z, Tohid H, Omar K, Muhammad NA, Ahmad S

Malays J Med Sci, 2018 Feb;25(1):84-95.
PMID: 29599638 MyJurnal DOI: 10.21315/mjms2018.25.1.10

Background: The quality of life (QoL) describes the multidimensional self-perceived well-being of a person, which is an important diabetes outcome. This study aimed to measure the QoL scores among patients with type 2 diabetes mellitus (T2DM), as well as their clinical and sociodemographic predictors.

Methods: This cross-sectional study involved 180 randomly sampled patients at a primary care clinic on the East Coast of Peninsular Malaysia. A self-administered questionnaire containing the Audit of Diabetes Dependent Quality of Life-18 (ADDQoL-18) was used.

Results: Most of the respondents (96.7%) were Malay, with a median (interquartile range, IQR) age of 54.0 (14.0) years old. The majority of them were females (60.0%), married (81.1%) and from low-income families (63.3%), who attained a secondary education or lower (75.6%). Only 49.4% of them were employed. The mean (standard deviation, SD) ADDQoL-18 average weighted impact score was -4.58 (2.21) and all 18 domains were negatively affected, particularly the living condition, family life and working life. The multiple linear regression analysis showed that the age (adjusted B = 0.05,P= 0.004) and insulin use (adjusted B = -0.84,P= 0.011) were QoL predictors.

Conclusion: T2DM negatively impacts the patient's QoL in all aspects of their life. The QoL improvement with age suggests that the older patients had accepted and adapted to their illness. The need to improve the QoL among insulin users was also highlighted.
Study site: Klinik Kesihatan, Malaysia
Role of Religion in Preventing Youth Sexual Activity in Malaysia: A Mixed Methods Study

Muhammad NA, Shamsuddin K, Sulaiman Z, Amin RM, Omar K

J Relig Health, 2017 Dec;56(6):1916-1929.
PMID: 26809242 DOI: 10.1007/s10943-016-0185-z

One of the popular approaches of preventing youth sexual activity in Malaysia is using religion to promote premarital sexual abstinence. Despite this intervention, youth continue to practise premarital sex. Thus, the purpose of this exploratory mixed methods study was to understand the role of religion on sexual activity among college students in Klang Valley, Malaysia. A self-administered questionnaire survey to determine the relationship between religiosity and youth sexual activity was carried out on 1026 students recruited from 12 randomly selected colleges. Concurrently, face-to-face interviews were conducted on 15 students to explore how religiosity had influenced their decision on sexual activity. The survey data were analysed using logistic regression, while the qualitative data from the interviews were examined using thematic analysis with separate analysis for each gender. Both quantitative and qualitative results were then compared and integrated. Religious activity significantly reduced the risk of continuing sexual activity among female students (AOR = 0.67, CI = 0.47, 0.95, p = 0.02) but not male students. There was no significant relationship of religious affiliation and intrinsic religiosity (inner faith) to sexual activity by gender. Having faith in religion and strong sexual desire were the main themes that explained participants' sexual behaviour. Engaging in religious activity might be effective at preventing female students from being sexually active. However, when sexual urges and desires are beyond control, religiosity might not be effective.
Fulltext Questionnaire development and validity to measure sexual intention among youth in Malaysia

Muhammad NA, Shamsuddin K, Mohd Amin R, Omar K, Thurasamy R

BMC Public Health, 2017 02 02;17(1):157.
PMID: 28152993 DOI: 10.1186/s12889-016-3949-1

BACKGROUND: From the Theory of Planned Behaviour perspective, sexual intention is determined by a permissive attitude, perception of social norms and perceived self-efficacy in performing sexual activity. The aim of this study was to develop and validate the Youth Sexual Intention Questionnaire (YSI-Q), which was designed to measure sexual intention among youths in Malaysia.
METHODS: A total of 25 items were developed based on literature reviews encompassing four main constructs: sexual intention, attitude, social norms and self-efficacy. The YSI-Q then underwent a validation process that included content and face validity, exploratory factor analysis (EFA), reliability analysis, and confirmatory factor analysis (CFA). This study was conducted on unmarried youths aged 18 to 22 years who were studying in colleges around Klang Valley, Malaysia.
RESULTS: EFA supported the four factor structure, but five items were removed due to incorrect placement or low factor loading (<0.60). Internal reliability using Cronbach's alpha ranged between 0.89 and 0.94. The CFA further confirmed the construct, convergent and discriminant validity of the YSI-Q with χ 2 = 392.43, df = 164, p
Fulltext Norms for eating disorder examination questionnaire (EDE-Q) among secondary school students in Kuala Lumpur, Malaysia

Musa, R., Haniff, J., Bujang, M.A., Mohamad, N.A., Omar, K., Radeef, A.S.

International Medical Journal Malaysia, 2016;15(2):57-61.
MyJurnal

Introduction: The Eating Disorder Examination Questionnaire (EDE-Q) has been widely used as a tool to
detect eating disorders. We aimed to identify the EDE-Q normative data among secondary school students in
Kuala Lumpur, Malaysia. Methods: This is a cross-sectional study involving four secondary schools in an
urban area. The respondents of secondary school students were selected using stratified sampling. Results:
There were 298 teenagers 12 to 17 years of age who participated in the study. The EDE-Q mean scores ±
standard deviation was 1.27 ± 1.08 for the total score (Global Score), 0.78 ± 0.95 for Restraint Domain, 1.02
± 1.03 for Eating Concern, 1.76 ± 1.55 for Shape Concern and 1.54 ± 1.43 for Weight Concern. Conclusion:
Mean values obtained from this study were relatively lower when compared to western populations. Shape
Concern and Weight Concern had higher scores compared to the other domains. These values are useful for
EDE-Q interpretation in Malaysia.
Fulltext Adaptive localization of focus point regions via random patch probabilistic density from whole-slide, Ki-67-stained brain tumor tissue

Alomari YM, Sheikh Abdullah SN, MdZin RR, Omar K

Comput Math Methods Med, 2015;2015:673658.
PMID: 25793010 DOI: 10.1155/2015/673658

Analysis of whole-slide tissue for digital pathology images has been clinically approved to provide a second opinion to pathologists. Localization of focus points from Ki-67-stained histopathology whole-slide tissue microscopic images is considered the first step in the process of proliferation rate estimation. Pathologists use eye pooling or eagle-view techniques to localize the highly stained cell-concentrated regions from the whole slide under microscope, which is called focus-point regions. This procedure leads to a high variety of interpersonal observations and time consuming, tedious work and causes inaccurate findings. The localization of focus-point regions can be addressed as a clustering problem. This paper aims to automate the localization of focus-point regions from whole-slide images using the random patch probabilistic density method. Unlike other clustering methods, random patch probabilistic density method can adaptively localize focus-point regions without predetermining the number of clusters. The proposed method was compared with the k-means and fuzzy c-means clustering methods. Our proposed method achieves a good performance, when the results were evaluated by three expert pathologists. The proposed method achieves an average false-positive rate of 0.84% for the focus-point region localization error. Moreover, regarding RPPD used to localize tissue from whole-slide images, 228 whole-slide images have been tested; 97.3% localization accuracy was achieved.
Fulltext Automatic detection and quantification of WBCs and RBCs using iterative structured circle detection algorithm

Alomari YM, Sheikh Abdullah SN, Zaharatul Azma R, Omar K

Comput Math Methods Med, 2014;2014:979302.
PMID: 24803955 DOI: 10.1155/2014/979302

Segmentation and counting of blood cells are considered as an important step that helps to extract features to diagnose some specific diseases like malaria or leukemia. The manual counting of white blood cells (WBCs) and red blood cells (RBCs) in microscopic images is an extremely tedious, time consuming, and inaccurate process. Automatic analysis will allow hematologist experts to perform faster and more accurately. The proposed method uses an iterative structured circle detection algorithm for the segmentation and counting of WBCs and RBCs. The separation of WBCs from RBCs was achieved by thresholding, and specific preprocessing steps were developed for each cell type. Counting was performed for each image using the proposed method based on modified circle detection, which automatically counted the cells. Several modifications were made to the basic (RCD) algorithm to solve the initialization problem, detecting irregular circles (cells), selecting the optimal circle from the candidate circles, determining the number of iterations in a fully dynamic way to enhance algorithm detection, and running time. The validation method used to determine segmentation accuracy was a quantitative analysis that included Precision, Recall, and F-measurement tests. The average accuracy of the proposed method was 95.3% for RBCs and 98.4% for WBCs.
Fulltext Physical and psychosocial impacts of pregnancy on adolescents and their coping strategies: a descriptive study in Kuala Lumpur, Malaysia

Su XV, Muhammad NA, Tan PS, Tan KTM, Tohid H, Omar K

Malaysian Journal of Public Health Medicine, 2014;14(3):0-0.
MyJurnal

Teenage pregnancy carries serious impacts on adolescent health. This study aimed to examine the effects of pregnancy on adolescents and to explore how they cope with the problems they faced during the pregnancy. It involved 26 adolescents residing in a government shelter home in Kuala Lumpur. A self-administered questionnaire containing a mixture of open- and closed-ended questions was used. Among physical (sleeping problem and self-care problem), psychological (emotional difficulties and low self-efficacy) and social (stigma and discrimination, financial difficulty, friendship problem and school dropout) problems, emotional difficulties were the most common problems, whereas stigma and discrimination was the least common. Young adolescents aged less than 16 years old were significantly associated with poor self-care (p=0.01). To cope with their problems, the adolescents generally used avoidance, withdrawal, and social support, particularly from parents and peers. Doctors were the least popular among all. In conclusion, holistic and individualised care is needed. Strategies to reduce emotional problem experienced by pregnant adolescents should be implemented. The available healthcare services for teenage pregnancy should also be promoted.
Fulltext Validation of the Malay version of the Parental Bonding Instrument among Malaysian youths using exploratory factor analysis

Muhammad NA, Shamsuddin K, Omar K, Shah SA, Mohd Amin R

Malays J Med Sci, 2014 Sep-Oct;21(5):51-9.
PMID: 25977634 MyJurnal

Parenting behaviour is culturally sensitive. The aims of this study were (1) to translate the Parental Bonding Instrument into Malay (PBI-M) and (2) to determine its factorial structure and validity among the Malaysian population.
Correlates of depression, anxiety and stress among Malaysian university students

Shamsuddin K, Fadzil F, Ismail WS, Shah SA, Omar K, Muhammad NA, et al.

Asian J Psychiatr, 2013 Aug;6(4):318-23.
PMID: 23810140 DOI: 10.1016/j.ajp.2013.01.014

University students face not only challenges related with independent living, but also academic challenges. This predisposes them to depression, anxiety and stress, which are fairly common.

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