Displaying publications 1 - 20 of 69 in total

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  1. Ong SQ, Dawood MM, Rahman H, Alias MF, Moideen MA, Lee PC, et al.
    MethodsX, 2024 Jun;12:102563.
    PMID: 38328504 DOI: 10.1016/j.mex.2024.102563
    Mosquito-borne diseases pose a significant threat in many Southeast Asian countries, particularly through the sylvatic cycle, which has a wildlife reservoir in forests and rural areas. Studying the composition and diversity of vectors and pathogen transmission is especially challenging in forests and rural areas due to their remoteness, limited accessibility, lack of power, and underdeveloped infrastructure. This study is based on the WHO mosquito sampling protocol, modifies technical details to support mosquito collection in difficult-to-access and resource-limited areas. Specifically, we describe the procedure for using rechargeable lithium batteries and solar panels to power the mosquito traps, demonstrate a workflow for processing and storing the mosquitoes in a -20 °C freezer, data management tools including microclimate data, and quality assurance processes to ensure the validity and reliability of the results. A pre- and post-test was utilized to measure participant knowledge levels. Additional research is needed to validate this protocol for monitoring vector-borne diseases in hard-to-reach areas within other countries and settings.
  2. Rahman H, Khan AR, Sadiq T, Farooqi AH, Khan IU, Lim WH
    Tomography, 2023 Dec 05;9(6):2158-2189.
    PMID: 38133073 DOI: 10.3390/tomography9060169
    Computed tomography (CT) is used in a wide range of medical imaging diagnoses. However, the reconstruction of CT images from raw projection data is inherently complex and is subject to artifacts and noise, which compromises image quality and accuracy. In order to address these challenges, deep learning developments have the potential to improve the reconstruction of computed tomography images. In this regard, our research aim is to determine the techniques that are used for 3D deep learning in CT reconstruction and to identify the training and validation datasets that are accessible. This research was performed on five databases. After a careful assessment of each record based on the objective and scope of the study, we selected 60 research articles for this review. This systematic literature review revealed that convolutional neural networks (CNNs), 3D convolutional neural networks (3D CNNs), and deep learning reconstruction (DLR) were the most suitable deep learning algorithms for CT reconstruction. Additionally, two major datasets appropriate for training and developing deep learning systems were identified: 2016 NIH-AAPM-Mayo and MSCT. These datasets are important resources for the creation and assessment of CT reconstruction models. According to the results, 3D deep learning may increase the effectiveness of CT image reconstruction, boost image quality, and lower radiation exposure. By using these deep learning approaches, CT image reconstruction may be made more precise and effective, improving patient outcomes, diagnostic accuracy, and healthcare system productivity.
  3. Wiart C, Shorna AA, Rahmatullah M, Nissapatorn V, Seelan JSS, Rahman H, et al.
    Molecules, 2023 Jul 28;28(15).
    PMID: 37570687 DOI: 10.3390/molecules28155717
    Scorodocarpus borneensis (Baill.) Becc. is attracting increased attention as a potential commercial medicinal plant product in Southeast Asia. This review summarizes the current knowledge on the taxonomy, habitat, distribution, medicinal uses, natural products, pharmacology, toxicology, and potential utilization of S. borneesis in the pharmaceutical/nutraceutical/functional cosmetic industries. All data in this review were compiled from Google Scholar, PubMed, Science Direct, Web of Science, ChemSpider, PubChem, and a library search from 1866 to 2022. A total of 33 natural products have been identified, of which 11 were organosulfur compounds. The main organosulfur compound in the seeds is bis-(methylthiomethyl)disulfide, which inhibited the growth of a broad spectrum of bacteria and fungi, T-lymphoblastic leukemia cells, as well as platelet aggregation. Organic extracts evoked anti-microbial, cytotoxic, anti-free radical, and termiticidal effects. S. borneensis and its natural products have important and potentially patentable pharmacological properties. In particular, the seeds have the potential to be used as a source of food preservatives, antiseptics, or termiticides. However, there is a need to establish acute and chronic toxicity, to examine in vivo pharmacological effects and to perform clinical studies.
  4. Mohd Tamam MQ, Omi MRT, Yahya WJ, Ithnin AM, Abdul Rahman H, Rahman MM, et al.
    Sci Rep, 2023 Jun 30;13(1):10599.
    PMID: 37391435 DOI: 10.1038/s41598-023-37662-4
    Malaysia is one of the top exporters of palm oil, and although currently facing fierce resistance towards palm oil imports in some parts of the globe, one of the ways to utilize this commodity is by increasing palm biodiesel content in local commercial diesel. However, due to the oxygen-rich nature of biodiesel, its utilization suffers from increased nitrogen oxides (NOx) emission compared to conventional diesel. To mitigate this issue and improve diesel engine performance and emissions using biodiesel-diesel blends, this study attempted to investigate implementation of a real-time non-surfactant emulsion fuel supply system (RTES) which produces water-in-diesel emulsion as fuel without surfactants. NOx reducing capability of water-in-diesel produced by RTES has been well documented. Therefore, in this study, 30% biodiesel-diesel (B30) was used as the base fuel while B30-derived emulsions consisting of 10 wt%, 15 wt% and 20 wt% water content were supplied into a 100 kVA, 5.9-L common rail turbocharged diesel engine electric generator. Fuel consumption and exhaust emissions were measured and compared with commercially available Malaysian low grade diesel fuel (D2M). Evidence suggested that emulsified B30 biodiesel-diesel produced by RTES was able to increase brake thermal efficiency (BTE) up to a maximum of 36% and reduce brake specific fuel consumption (BSFC) up to 8.70%. Furthermore, B30 biodiesel-diesel emulsions produced significantly less NOx, carbon monoxide and smoke at high engine load. In conclusion, B30 biodiesel-diesel emulsions can be readily utilized in current diesel engines without compromising on performance and emissions.
  5. Ojonuba HS, Abdul Rahman H, Zaremohzzabieh Z, Mohd Zulkefli NA
    PMID: 36834427 DOI: 10.3390/ijerph20043731
    (1) Background: Substance use among inner-city adolescents is at an alarming rate in Nigeria. Despite their high exposure to this risk, limited experimental tests have been conducted on prevention programs. (2) Methods: This study investigates the effectiveness of an empowerment education intervention in reducing the risk of substance use in Abuja's inner-city adolescents. Random selection placed adolescents into intervention and control conditions, and assessment was conducted at baseline, post-test, and 3-months follow-up intervention. After pre-test, the intervention group engaged in an empowerment education intervention of 11 sessions. (3) Results: In a post-test of three months, results show significant and positive changes among adolescents in substance use, including a notable reduction in positive attitudes toward drugs. In other words, the results showed adolescents reported less depression and substance use as well as higher peer support, parental support, social competence, and self-esteem at post-test and 3-month follow-ups as compared to the pre-intervention period. In addition, at both post-test and the 3-month follow-up, the intervention group performed better than the control group on peer support, parental support, social competence, and self-esteem. (4) Conclusions: This study presents a new indication that the empowerment education intervention effectively reduces substance use among Nigeria's inner-city adolescents.
  6. Wang C, Tang Y, Mo Y, Huang MM, Abdul-Rahman H
    Heliyon, 2023 Feb;9(2):e13386.
    PMID: 36755599 DOI: 10.1016/j.heliyon.2023.e13386
    The significance of innovation management in triggering and sustaining increase in corporations of distinct size, age or enterprise type, is receiving growing attention, yet scant empirical research have been carried out in project-oriented service firms, in particular small-scaled enterprises. This study aims to identify how innovation management in small construction firms could enable them to pursue innovation and achieve greater business performance. Data collection comprises 157 empirical surveys leading to a conceptual framework modelled using the structural equation modelling approach. The findings show that entrepreneurship and networking have a direct and considerable influence on both technological and non-technological innovation, which consequently improves firm performance.
  7. Rahman H, Naik Bukht TF, Ahmad R, Almadhor A, Javed AR
    Comput Intell Neurosci, 2023;2023:7717712.
    PMID: 36909966 DOI: 10.1155/2023/7717712
    Medical image analysis places a significant focus on breast cancer, which poses a significant threat to women's health and contributes to many fatalities. An early and precise diagnosis of breast cancer through digital mammograms can significantly improve the accuracy of disease detection. Computer-aided diagnosis (CAD) systems must analyze the medical imagery and perform detection, segmentation, and classification processes to assist radiologists with accurately detecting breast lesions. However, early-stage mammography cancer detection is certainly difficult. The deep convolutional neural network has demonstrated exceptional results and is considered a highly effective tool in the field. This study proposes a computational framework for diagnosing breast cancer using a ResNet-50 convolutional neural network to classify mammogram images. To train and classify the INbreast dataset into benign or malignant categories, the framework utilizes transfer learning from the pretrained ResNet-50 CNN on ImageNet. The results revealed that the proposed framework achieved an outstanding classification accuracy of 93%, surpassing other models trained on the same dataset. This novel approach facilitates early diagnosis and classification of malignant and benign breast cancer, potentially saving lives and resources. These outcomes highlight that deep convolutional neural network algorithms can be trained to achieve highly accurate results in various mammograms, along with the capacity to enhance medical tools by reducing the error rate in screening mammograms.
  8. Karuppaiah A, Selvaraj D, Sellappan M, Nagarajan A, Babu D, Rahman H, et al.
    Curr Pharm Des, 2023;29(4):239-245.
    PMID: 36624648 DOI: 10.2174/1381612829666230109111635
    Metallic nanoparticles (MNPs) have been widely used for diagnostic and therapeutic purposes in clinical practice. A number of MNP formulations are being investigated in clinical trials for various applications. This increase in the use of NPs results in higher exposure to humans, leading to toxicity issues. Hence, it is necessary to determine the possible undesirable effects of the MNPs after in-vivo application and exposure. One of the main reasons for the toxicity of MNPs is the release of their respective metallic ions throughout the body. Many research studies are in progress investigating the various strategies to reduce the toxicity of MNPs. These research studies aim to change the size, dose, agglomeration, release, and excretion rates of MNPs. In this perspective review, we discussed the possible strategies to improve the therapeutic effects of MNPs through various processes, with lessons learned from the studies involving silver nanoparticles (AgNPs). We also discussed the ways to manage the toxicity of MNPs by purification, surface functionalization, synergistic effect, and targeted therapy approach. All these strategies could reduce the dose of the MNPs without compromising their therapeutic benefits, which could decrease the toxicity of MNPs. Additionally, we briefly discussed the market and toxicology testing for FDA-regulated MNPs.
  9. Khan Z, Karatas Y, Martins MAP, Jamshed S, Rahman H
    Curr Med Res Opin, 2022 01;38(1):145-154.
    PMID: 34694167 DOI: 10.1080/03007995.2021.1997287
    BACKGROUND: Globally, pharmacovigilance (PV) is crucial for the patient's safety and proper use of drugs. Spontaneous reporting of adverse drug reaction (ADR) is a professional obligation of every healthcare professionals (HCPs). The purpose of this systematic review was to analyze the existing literature about the knowledge, attitude, and practices (KAP) level of HCPs regarding PV and ADRs reporting in Turkey.

    METHODS: A systematic and comprehensive articles search strategy was carried out in different seven electronic databases (PubMed, PubMed Central, Goggle Scholar, Ovid-SP, MEDLINE, Wiley Online Library, DergiPark) from 2010 to 2020. We searched to identify existing literature about cross-sectional observational studies investigating the KAP of HCPs regarding PV and ADRs reporting in different geographical regions of Turkey. Quality assessment and risk of bias were assessed among included studies.

    RESULTS: Fifteen studies were chosen for full-text analysis. Finally, according to inclusion criteria, seven research articles were selected for systematic review. Overall, the KAP of HCPs varies across the studies. The lack of a standardized validated measuring tool to evaluate the KAP and differences in questionnaire items were the main limitations in included studies. Around, 69.1% (range: 54.6-100%) of HCPs were not aware of the national pharmacovigilance center in Turkey. About, 37.5% (range: 7.1-75.7%) of HCPs believed that reporting of ADRs is not important and 87.5% (range: 69.3-100%) stated that they never reported ADR previously during their practice. The most frequently highlighted barriers to PV were lack of time, uncertainty and did not know where to report.

    CONCLUSION: This systematic review revealed a major KAP gap in Turkey towards PV activities. Low ADR reporting practice of HCPs was a major identified issue. The creation of a mandatory unified PV education intervention for future HCPs to rationally report ADR of drugs are crucial for a better healthcare system.

  10. Shah MKA, Azad AK, Nawaz A, Ullah S, Latif MS, Rahman H, et al.
    Polymers (Basel), 2021 Dec 30;14(1).
    PMID: 35012154 DOI: 10.3390/polym14010135
    This study aims to develop chitosan-based voriconazole nanoparticles (NPs) using spray-drying technique. The effect of surfactants and polymers on the physicochemical properties, in vitro release, and permeation of NPs was investigated. The prepared NPs containing various surfactants and polymers (e.g., Tween 20 (T20), Tween 80 (T80), sodium lauryl sulfate (SLS), propylene glycol (PG), and Polyethylene glycol-4000 (PEG-4000)) were physiochemically evaluated for size, zeta potential, drug content, percent entrapment efficiency, in vitro release, and permeation across rats' skin. A Franz diffusion cell was used for evaluating the in vitro release and permeation profile. The voriconazole-loaded NPs were investigated for antifungal activity against Candida albicans (C. albicans). The prepared NPs were in the nano range (i.e., 160-500 nm) and positively charged. Images taken by a scanning electron microscope showed that all prepared NPs were spherical and smooth. The drug content of NPs ranged from 75% to 90%. Nanoparticle formulations exhibited a good in vitro release profile and transport voriconazole across the rat's skin in a slow control release manner. The NPs containing SLS, T80, and PG exhibited the best penetration and skin retention profile. In addition, the formulation exhibited a potential antifungal effect against C. albicans. It was concluded that the development of chitosan NPs has a great potential for the topical delivery of voriconazole against fungal infection.
  11. Rahman H, Ali H, Din RU, Ahmad I, Sarker MR, Ali SHM
    Molecules, 2021 Oct 27;26(21).
    PMID: 34770905 DOI: 10.3390/molecules26216497
    Surface plasmon (SP)-induced spectral hole burning (SHB) at the silver-dielectric interface is investigated theoretically. We notice a typical lamb dip at a selective frequency, which abruptly reduces the absorption spectrum of the surface plasmons polaritons (SPP). Introducing the spontaneous generated coherence (SGC) in the atomic medium, the slope of dispersion becomes normal. Additionally, slow SPP propagation is also noticed at the interface. The spectral hole burning dip is enhanced with the SGC effect and can be modified and controlled with the frequency and intensity of the driving fields. The SPP propagation length at the hole-burning region is greatly enhanced under the effect of SGC. A propagation length of the order of 600 µm is achieved for the modes, which is a remarkable result. The enhancement of plasmon hole burning under SGC will find significant applications in sensing technology, optical communication, optical tweezers and nano-photonics.
  12. Shujaa Edin HY, Al-Haj NA, Rasedee A, Banu Alitheen N, Abdul Kadir A, Wun How C, et al.
    Saudi J Biol Sci, 2021 Sep;28(9):5214-5220.
    PMID: 34466099 DOI: 10.1016/j.sjbs.2021.05.043
    Erythropoietin (EPO) is widely used to treat anemia in patients undergoing chemotherapy for cancers. The main objective of this study was to investigate the effect of rHuEPO on the response of spheroid breast cancer, MCF-7, cells to tamoxifen treatment. The MCF-7 spheroids were treated with 10 mg/mL tamoxifen in combination with either 0, 10, 100 or 200 IU/mL rHuEPO for 24, 48 or 72 h. The viability of the MCF-7 cells was determined using the annexin-V, cell cycle, caspases activation and acridine orange/propidium iodide staining. rHuEPO-tamoxifen combination significantly (p greater than 0.05) increased the number of spheroid MCF-7 cells entering early apoptotic phase after 12 h and late apoptotic phase after 24 h of treatment; primarily the result of the antiproliferative effect tamoxifen. Tamoxifen alone significantly (p h, the combination treatment produced greater (p 
  13. Ang CY, Dhaliwal JS, Muharram SH, Akkawi ME, Hussain Z, Rahman H, et al.
    BMJ Open, 2021 07 07;11(7):e048609.
    PMID: 34233993 DOI: 10.1136/bmjopen-2021-048609
    INTRODUCTION: Antimicrobial resistance (AMR) is a global public and patient safety issue. With the high AMR risk, ensuring that the next generation of dentists that have optimal knowledge and confidence in the area of AMR is crucial. A systematic approach is vital to design an AMR content that is comprehensive and clinically relevant. The primary objective of this research study will be to implement a consensus-based approach to elucidate AMR content and curriculum priorities for professional dentistry programmes. This research aims to establish consensus along with eliciting opinion on appropriate AMR topics to be covered in the Bachelor of Dental Surgery syllabus.

    METHODS AND ANALYSIS: A three-phase approach to validate content for curriculum guidelines on AMR will be adopted. First, literature review and content analysis were conducted to find out the available pertinent literature in dentistry programmes. A total of 23 potential literature have been chosen for inclusion within this study following literature review and analysis in phase 1. The materials found will be used to draft curriculum on antimicrobials for dentistry programmes. The next phase involves the validation of the drafted curriculum content by recruiting local and foreign experts via a survey questionnaire. Finally, Delphi technique will be conducted to obtain consensus on the important or controversial modifications to the revised curriculum.

    ETHICS AND DISSEMINATION: An ethics application is currently under review with the Institute of Health Science Research Ethics Committee, Universiti Brunei Darussalam. All participants are required to provide a written consent form. Findings will be used to identify significant knowledge gaps on AMR aspect in a way that results in lasting change in clinical practice. Moreover, AMR content priorities related to dentistry clinical practice will be determined in order to develop need-based educational resource on microbes, hygiene and prudent antimicrobial use for dentistry programmes.

  14. Sreedharan Nair R, Rahman H, Kong MX, Tan XY, Chen KY, Shanmugham S
    Turk J Pharm Sci, 2021 06 18;18(3):352-359.
    PMID: 34157826 DOI: 10.4274/tjps.galenos.2020.88725
    Objectives: N,N-Diethyl-3-methylbenzamide (DEET) is a broad-spectrum insect repellent that can easily permeate through the skin and can cause undesirable effects, especially in children and pregnant women. The objective of this research was to formulate and evaluate DEET-encapsulated microparticles containing a hydrogel designed to reduce skin permeation and prolong drug release.

    Materials and Methods: The formulation design was based on the independent formulation variables of the concentration of chitosan and sodium tripolyphosphate using a simple factorial design experiment. DEET-loaded microparticles were developed and incorporated into a hydrogel. The size of the microparticles was analyzed using the Zetasizer Nano® particle size analyzer, and the surface morphology, using field emission scanning electron microscopy. Drug release from the microparticles was determined by the dialysis bag method. A rheological evaluation of the formulated gel was performed using a Thermo Haake Rheometer. The in vitro permeation of the formulation was performed using a synthetic Strat-M® membrane.

    Results: The size of the microparticles ranged from 0.45 to 8.3 μm, and the encapsulation efficiencies were >50% for all the formulations. The drug-release curves showed no initial burst release from the microparticle formulation. Instead, a slow and controlled drug release was observed over 24 hours that followed Higuchi kinetics. The cumulative amount of DEET permeated (over 24 h) from the DEET solution (control), and the formulation was 211.6±19.5 μg/cm2 and 4.07±0.08 μg/cm2, respectively.

    Conclusion: A significantly low DEET permeation from the microparticle formulations indicated minimal absorption of the drug into the body and thus, reduced systemic toxicity. Thixotropic evaluation of the hydrogel formulation demonstrated a hysteresis loop that fitted closely to the Herschel-Bulkley rheological model, ensuring an effortless application and prolonged retention on the skin. Hence, it can be concluded that the developed formulation is an effective delivery approach for controlled insect repellent activity with reduced skin absorption.

  15. Azmi ES, How V, Abdul Rahman H
    Jamba, 2021;13(1):1102.
    PMID: 34394849 DOI: 10.4102/jamba.v13i1.1102
    Worsening climatic conditions can subsequently lead to the frequent occurrence of unpredictable natural disasters. The early-life educational approach is one of the non-structural mitigations in disaster management, which are the most effective efforts to promote early-life disaster awareness and enhance the knowledge transfer in disaster risk education. By using the health belief model (HBM), this study aims to examine the effectiveness of HBM on the flood-risk reduction (FRR) educational intervention by looking into the perceived susceptibility, severity, benefit and self-efficacy among elementary school children in Malaysia. This study utilised the one-group pre-test-post-test design by recruiting 224 elementary school children in the pre-FRR educational intervention programme, and 205 who undertook a post-intervention programme a month later. This study showed that the FRR educational intervention significantly improved (p < 0.001) the overall HBM components during the post-intervention, particularly in: (1) FRR knowledge, (2) perceived susceptibility, (3) perceived severity and (4) perceived benefits. The one-way analysis of covariance test showed that knowledge transfer intervention is effective to improve all the HBM components that include (1) FRR knowledge, F(38,127) = 2.517; (2) perceived susceptibility, F(6,191) = 6.957; (3) perceived severity, F(20,163) = 2.944; (4) perceived benefits, F(25,153) = 2.342 and (5) self-efficacy, F(7,189) = 12.526. The impact of integrating HBM into knowledge transfer intervention was seen to be effective and provide a positive knowledge enhancement among learners. Therefore, it is crucial to implement a consistent and sustainable educational intervention to harness formal education for community resilience at an early age.
  16. Noman S, Shahar HK, Abdul Rahman H, Ismail S, Abdulwahid Al-Jaberi M, Azzani M
    PMID: 33396424 DOI: 10.3390/ijerph18010263
    There have been various systematic reviews on the significance of educational interventions as necessary components to encourage breast cancer screening (BCS) and reduce the burden of breast cancer (BC). However, only a few studies have attempted to examine these educational interventions comprehensively. This review paper aimed to systematically evaluate the effectiveness of various educational interventions in improving BCS uptake, knowledge, and beliefs among women in different parts of the world. Following the PRISMA guidelines, a comprehensive literature search on four electronic databases, specifically PubMed, Scopus, Web of Science, and ScienceDirect, was performed in May 2019. A total of 22 interventional studies were reviewed. Theory- and language-based multiple intervention strategies, which were mainly performed in community and healthcare settings, were the commonly shared characteristics of the educational interventions. Most of these studies on the effectiveness of interventions showed favorable outcomes in terms of the BCS uptake, knowledge, and beliefs among women. Educational interventions potentially increase BCS among women. The interpretation of the reported findings should be treated with caution due to the heterogeneity of the studies in terms of the characteristics of the participants, research designs, intervention strategies, and outcome measures.
  17. Sharudin SN, Huda Al Firdas AN, Hitam S, Hamid Z, Nordin NJ, Othman N, et al.
    Malays J Pathol, 2020 Aug;42(2):287-291.
    PMID: 32860384
    INTRODUCTION: Lymphoma of parapharyngeal space (PPS) is a rare condition. The clinical presentations may vary and often masquerades as infection or an inflammatory condition. A misdiagnosis will lead to a delay in treatment of the disease. Due to the complex anatomy of PPS, any attributed pressure from masses can lead to a life-threatening event such as cardiac syncope.

    CASE REPORT: We report a rare case of PPS B-cell non-Hodgkin lymphoma with superimposed Tuberculosis (TB) and fungal infection that presents with several episodes of syncope and hemodynamic depression.

    DISCUSSION: The clinical entities in PPS lesions syncope and its associated syndromes, pathophysiology, and differential diagnosis together with possible managements are further discussed.

  18. Noman S, Shahar HK, Abdul Rahman H, Ismail S
    PMID: 32059587 DOI: 10.3390/ijerph17041167
    Breast cancer is the most common cancer spread among women worldwide. Whereas many studies have discussed the significance of breast cancer screening among women in various countries, few have attempted to discuss this topic among female school teachers. As teachers educate and communicate with students, this may play an essential role in health education and in promoting healthy behavior, such as breast cancer screening. The primary goal of this study is to develop and implement an educational intervention of breast cancer screening and evaluate its effectiveness among Yemeni female school teachers in Malaysia. This was carried out as per the health belief model. A cluster-randomized controlled trial was conducted among 183 Yemeni female school teachers in twelve schools in Klang Valley, Malaysia. A random assignment of the target schools was made to include them within the intervention or control group. Participants in the intervention group were offered a 90-minute session for one-day educational intervention on breast cancer screening. On the other hand, participants in the control group were offered the same educational materials at the end of the study. Relevant data was collected at baseline, one month following the intervention, and then three- and six-months follow-up assessments. Analysis of such data was done via IBM SPSS software 25.0 by generalized estimating equations (GEE) to assess the differential changes over time. A primary outcome embodied in breast cancer screening practice uptake was expected. Secondary outcomes include the target group's knowledge on and beliefs of breast cancer screening. This study intends to contribute to the credibility and effectiveness of utilizing a theory-based breast cancer screening intervention in order to raise the awareness of women on conducting breast cancer screening.
  19. Chandra Paul G, Senthilkumar S, Rahman H
    Heliyon, 2020 Jan;6(1):e02865.
    PMID: 31909234 DOI: 10.1016/j.heliyon.2019.e02865
    The main motivation and novel notion of this present communication is to implement the recently suggested fourth order with four stages embedded RKARMS(4,4) algorithm to examine its efficiency in reinvesting the structures of extrasolar protoplanets formed via disk instability which being presented in Paul et al. [1] (G.C. Paul, M.M. Rahman, D. Kumar, M.C. Barman, the radius spectrum of solid grains settling in gaseous giant protoplanets, Earth Sci. Inform. 6 (2013) 137-144) for the case of convective heat transfer using classical Runge-Kutta (RK) technique of order four. The results by the RKARMS(4,4) algorithm compared well with those obtained by the classical RK method of order four for any time length and found to be more suitable.
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