Displaying all 11 publications

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  1. Lim A, Krishnan SS, Blebil AQ, Malone D
    Int J Pharm Pract, 2023 Dec 19;31(6):646-649.
    PMID: 37410964 DOI: 10.1093/ijpp/riad048
    OBJECTIVES: To describe the implementation and assess whether an objective structured clinical examination (OSCE) is a viable assessment tool for testing Antimicrobial Stewardship (AMS) principles.

    METHODS: A three-station OSCE set in a hospital and community pharmacy was designed and mapped to the World Health Organisation's AMS intervention practical guide. This OSCE comprised 39 unique cases and was implemented across two campuses (Malaysia and Australia) at one institute. Stations were 8 min long and consisted of problem-solving and applying AMS principles to drug therapy management (Station 1), counselling on key antimicrobials (Station 2) or managing infectious diseases in primary care (Station 3). Primary outcome measure to assess viability was the proportion of students who were able to pass each case.

    KEY FINDINGS: Other than three cases with pass rates of 50, 52.8 and 66. 7%, all cases had pass rates of 75% or more. Students were most confident with referral to medical practitioner cases and switching from intravenous to oral or empirical to directed therapy.

    CONCLUSIONS: An AMS-based OSCE is a viable assessment tool in pharmacy education. Further research should explore whether similar assessments can help improve students' confidence at recognising opportunities for AMS intervention in the workplace.

  2. Ali Q, Salman A, Parveen S
    Heliyon, 2022 Dec;8(12):e12486.
    PMID: 36590548 DOI: 10.1016/j.heliyon.2022.e12486
    The concepts of environmental and business sustainability are well-established in the business lexicon of progressive firms. However, firms are yet to examine the effects of environmental management practices (EMPs) on environmental performance (EP) and financial performance (FP) by connecting the missing linkage of environment, social, and governance disclosure (ESGD). This study analyses the impact of EMPs on EP and FP and offers empirical evidence of whether ESGD mediates the relationship between EP and FP of firms in Malaysia. The data from 141 listed firms on Bursa Malaysia was extracted between 2009-2020. The data was analyzed using data envelopment analysis (DEA) and the generalized method of moments (GMM) technique. The findings reflect that EMPs have a significant positive effect on EP and all five proxies of EP have a significant positive effect on ESGD (except 'S') and FP. Also, ESGD together with its three proxies mediates the relationship between EP and FP. The findings of this research offer an empirical rationale for regulators and policymakers of industrial firms to accelerate their EMPs and improve ESGD mechanisms for better environmental and financial outcomes.
  3. Blebil AQ, S Sulaiman SA, A Hassali M, Dujaili JA, Zin AM
    Value Health Reg Issues, 2014 May;3:19-23.
    PMID: 29702926 DOI: 10.1016/j.vhri.2013.09.001
    OBJECTIVES: Assessment of nicotine withdrawal symptoms is an essential part of tobacco dependence treatment. This study aimed to evaluate the psychometric properties of a Malay translated version of the Minnesota Nicotine Withdrawal Scale (MNWS).

    METHODS: The original scale was translated into Malay following the standard guidelines proposed for translation studies. The reliability and validity of the Malay version scale were evaluated on the basis of data collected from 133 participants. The Cronbach's alpha coefficient was calculated to assess the reliability. To validate the psychometric properties of the scale, factor analysis and construct validity were used. This study was conducted at the Quit Smoking Clinic at Penang General Hospital, Penang, Malaysia.

    RESULTS: The translated scale has excellent reliability, with total Cronbach's alpha of 0.91. The test-retest reliability for the scale presented an excellent reliability and stability of the translated scale with Spearman's rank correlation coefficient (r = 0.876; P < 0.001). There was a significant positive correlation between the exhaled carbon monoxide level, Fagerstrom Test for Nicotine Dependence total score, and number of cigarettes smoked per day and the MNWS total score (r = 0.72, 0.68, and 0.68, respectively; P < 0.001). A principal-components analysis with orthogonal rotation yielded a unidimensional model that includes all the items of the MNWS.

    CONCLUSIONS: The Malay version of the MNWS is a reliable and valid measure of withdrawal symptoms as well as the smoking urge, and it is applicable to clinical practice and research study.

    Study site: Quit Smoking Clinic at Penang General Hospital, Penang, Malaysia.
  4. Abdulelah J, Sulaiman SAS, Hassali MA, Blebil AQ, Awaisu A, Bredle JM
    Value Health Reg Issues, 2015 May;6:53-59.
    PMID: 29698193 DOI: 10.1016/j.vhri.2015.03.006
    BACKGROUND: Various generic instruments exist to assess health-related quality of life (HRQOL) in patients with tuberculosis (TB), but a psychometrically sound disease-specific instrument is lacking.

    OBJECTIVES: The present study aimed to develop and psychometrically validate a multidimensional TB-specific HRQOL instrument relevant to the value of patients with pulmonary TB in Iraq with an eye toward cross-cultural application.

    METHODS: The core general HRQOL questionnaire is composed of the Functional Assessment of Cancer Therapy-General items. A modular approach was followed for the development of the Functional Assessment of Chronic Illness Therapy-Tuberculosis (FACIT-TB) questionnaire in which a set of items assessing quality-of-life (QOL) issues not sufficiently covered by the core Functional Assessment of Cancer Therapy-General items, but considered to be relevant to the target population, was added. Moreover, principal-component analysis was used to determine the new subscale structure of the questionnaire.

    RESULTS: In addition to the 27 items of the core questionnaire, a set of 20 items referring to disease symptoms related to the site of infection, adverse effects, and additional QOL dimensions such as fatigue, social stigma, and economic burden of the illness was included. Factor analysis demonstrated that the FACIT-TB construct comprised five domains.

    CONCLUSIONS: A rigorous method was applied in the development of the FACIT-TB measure to fully understand the impact of TB on patients' QOL. The instrument is psychometrically sound and portrays multiple important dimensions of HRQOL. FACIT-TB is relatively brief, is easy to administer and score, and is appropriate for use in clinical trials and practice.
  5. Saeed AQ, Sheikh Abdullah SNH, Che-Hamzah J, Abdul Ghani AT
    J Med Internet Res, 2021 09 21;23(9):e27414.
    PMID: 34236992 DOI: 10.2196/27414
    BACKGROUND: Glaucoma leads to irreversible blindness. Globally, it is the second most common retinal disease that leads to blindness, slightly less common than cataracts. Therefore, there is a great need to avoid the silent growth of this disease using recently developed generative adversarial networks (GANs).

    OBJECTIVE: This paper aims to introduce a GAN technology for the diagnosis of eye disorders, particularly glaucoma. This paper illustrates deep adversarial learning as a potential diagnostic tool and the challenges involved in its implementation. This study describes and analyzes many of the pitfalls and problems that researchers will need to overcome to implement this kind of technology.

    METHODS: To organize this review comprehensively, articles and reviews were collected using the following keywords: ("Glaucoma," "optic disc," "blood vessels") and ("receptive field," "loss function," "GAN," "Generative Adversarial Network," "Deep learning," "CNN," "convolutional neural network" OR encoder). The records were identified from 5 highly reputed databases: IEEE Xplore, Web of Science, Scopus, ScienceDirect, and PubMed. These libraries broadly cover the technical and medical literature. Publications within the last 5 years, specifically 2015-2020, were included because the target GAN technique was invented only in 2014 and the publishing date of the collected papers was not earlier than 2016. Duplicate records were removed, and irrelevant titles and abstracts were excluded. In addition, we excluded papers that used optical coherence tomography and visual field images, except for those with 2D images. A large-scale systematic analysis was performed, and then a summarized taxonomy was generated. Furthermore, the results of the collected articles were summarized and a visual representation of the results was presented on a T-shaped matrix diagram. This study was conducted between March 2020 and November 2020.

    RESULTS: We found 59 articles after conducting a comprehensive survey of the literature. Among the 59 articles, 30 present actual attempts to synthesize images and provide accurate segmentation/classification using single/multiple landmarks or share certain experiences. The other 29 articles discuss the recent advances in GANs, do practical experiments, and contain analytical studies of retinal disease.

    CONCLUSIONS: Recent deep learning techniques, namely GANs, have shown encouraging performance in retinal disease detection. Although this methodology involves an extensive computing budget and optimization process, it saturates the greedy nature of deep learning techniques by synthesizing images and solves major medical issues. This paper contributes to this research field by offering a thorough analysis of existing works, highlighting current limitations, and suggesting alternatives to support other researchers and participants in further improving and strengthening future work. Finally, new directions for this research have been identified.

  6. Blebil AQ, Dujaili JA, Mohammed AH, Loh LL, Chung WX, Selvam T, et al.
    J Telemed Telecare, 2023 Jan;29(1):58-71.
    PMID: 35188826 DOI: 10.1177/1357633X221077869
    INTRODUCTION: Pharmacy students should be eHealth literate by being skilful in searching, evaluating and applying online health information. Mobile health applications should be utilised when making clinical decisions to achieve optimal patient care with the ever-changing pharmacy practice. This study aims to explore the eHealth literacy and mobile health application utilisation amongst pharmacy undergraduates.

    METHODS: A cross-sectional study was conducted from March to April 2021. An online survey, consisting of socio-demographic characteristics, Internet use, eHealth Literacy Scale and mobile health application utilisation, was distributed amongst pharmacy undergraduates in public and private universities in Malaysia. Data analysis included descriptive statistics, one-way analysis of variance test, Mann-Whitney U test and Kruskal-Wallis test.

    RESULTS: A total of 415 participants completed the survey (response rate    =    82.5%). The median eHealth Literacy Scale score (out of 40) was 31.0    ±    3.0 (interquartile range). More than one-third of participants (34.7%) were found to have low eHealth literacy. Many lacked confidence in making health decisions from online information (42.4%) and skills in distinguishing between high-quality and low-quality health resources (35.2%). Only 70.4% of the participants had mobile health applications installed on their smartphones and/or tablets. Some students felt that they were neither knowledgeable nor skilful enough to utilise mobile health applications (24.8%), whereas 23.9% were unaware of the mobile health applications available.

    CONCLUSION: In summary, the eHealth literacy of Malaysian pharmacy students can be further enhanced by incorporating eHealth literacy-focused programmes into the curriculum. Moreover, pharmacy students' mobile health application utilisation can be improved through increased awareness and support from universities.

  7. Roslan MF, Al-Shetwi AQ, Hannan MA, Ker PJ, Zuhdi AWM
    PLoS One, 2020;15(12):e0243581.
    PMID: 33362200 DOI: 10.1371/journal.pone.0243581
    The lack of control in voltage overshoot, transient response, and steady state error are major issues that are frequently encountered in a grid-connected photovoltaic (PV) system, resulting in poor power quality performance and damages to the overall power system. This paper presents the performance of a control strategy for an inverter in a three-phase grid-connected PV system. The system consists of a PV panel, a boost converter, a DC link, an inverter, and a resistor-inductor (RL) filter and is connected to the utility grid through a voltage source inverter. The main objective of the proposed strategy is to improve the power quality performance of the three-phase grid-connected inverter system by optimising the proportional-integral (PI) controller. Such a strategy aims to reduce the DC link input voltage fluctuation, decrease the harmonics, and stabilise the output current, voltage, frequency, and power flow. The particle swarm optimisation (PSO) technique was implemented to tune the PI controller parameters by minimising the error of the voltage regulator and current controller schemes in the inverter system. The system model and control strategies were implemented using MATLAB/Simulink environment (Version 2020A) Simscape-Power system toolbox. Results show that the proposed strategy outperformed other reported research works with total harmonic distortion (THD) at a grid voltage and current of 0.29% and 2.72%, respectively, and a transient response time of 0.1853s. Compared to conventional systems, the PI controller with PSO-based optimization provides less voltage overshoot by 11.1% while reducing the time to reach equilibrium state by 32.6%. The consideration of additional input parameters and the optimization of input parameters were identified to be the two main factors that contribute to the significant improvements in power quality control. Therefore, the proposed strategy effectively enhances the power quality of the utility grid, and such an enhancement contributes to the efficient and smooth integration of the PV system.
  8. Ahmed Taha B, Addie AJ, Saeed AQ, Haider AJ, Chaudhary V, Arsad N
    Neuroscience, 2024 Dec 06;562:106-124.
    PMID: 39490518 DOI: 10.1016/j.neuroscience.2024.10.046
    Neuroprobes that use nanostructured photonic interfaces are capable of multimodal sensing, stimulation, and imaging with unprecedented spatio-temporal resolution. In addition to electrical recording, optogenetic modulation, high-resolution optical imaging, and molecular sensing, these advanced probes combine nanophotonic waveguides, optical transducers, nanostructured electrodes, and biochemical sensors. The potential of this technology lies in unraveling the mysteries of neural coding principles, mapping functional connectivity in complex brain circuits, and developing new therapeutic interventions for neurological disorders. Nevertheless, achieving the full potential of nanostructured photonic neural probes requires overcoming challenges such as ensuring long-term biocompatibility, integrating nanoscale components at high density, and developing robust data-analysis pipelines. In this review, we summarize and discuss the role of photonics in neural probes, trends in electrode diameter for neural interface technologies, nanophotonic technologies using nanostructured materials, advances in nanofabrication photonics interface engineering, and challenges and opportunities. Finally, interdisciplinary efforts are required to unlock the transformative potential of next-generation neuroscience therapies.
  9. Ali Q, Parveen S, Yaacob H, Zaini Z, Sarbini NA
    Environ Sci Pollut Res Int, 2021 Oct;28(40):56199-56218.
    PMID: 34050516 DOI: 10.1007/s11356-021-14612-z
    Despite a profound evidence of the human unsustainable behaviours' impact on the environment, stark disparities prevail on this narrative especially in the context of the current epidemiological situation ushered by the COVID-19. The ongoing pandemic is a global public health concern due to its sagacious impacts on environmental sustainability, social responsibility and people's quality of life. This study primarily focuses on analysing the impact of COVID-19 (COV) on the environmental awareness (EA), sustainable consumption (SC) and social responsibility (SR). Additionally, we aspire to investigate the impact of demographics of generations and religion on the proposed nexus in this study. The data was collected from 700 participants of different age groups and religious backgrounds in Malaysia, and structural equation modelling (SEM) was used to analyse this data and test the hypotheses. The findings indicate that COVID-19 has a significantly positive impact on EA, SC and SR, and the generations and religiosity moderate the relationship between COVID-19 and its impact on sustainable behaviours. This study contributes to analyse the difference in the perception of EA, SC and SR among the people that eventually will stimulate the scientific reasoning among the governments, policymakers and scientists to develop a holistic framework to combat unprecedented event such as COVID-19 and ensure the authentication of sustainable environment and exceptional quality of life. The policymakers in Malaysia may use the findings of this study to inspect the social and environmental aspects of the people during the transformation events.
  10. Alqarni LS, Algethami JS, El Kaim Billah R, Alorabi AQ, Alnaam YA, Algethami FK, et al.
    Int J Biol Macromol, 2024 Apr;263(Pt 2):129989.
    PMID: 38354916 DOI: 10.1016/j.ijbiomac.2024.129989
    In this study, the synthesis and experimental theoretical evaluation of a new chitosan/alginate/hydrozyapatite nanocomposite doped with Mn2 and Fe2O3 for Cr removal was reported. The physicochemical properties of the obtained materials were analyzed using the following methods: SEM-EDX, XRD, FTIR, XPS, pH drift measurements, and thermal analysis. The adsorption properties were estimated based on equilibrium and adsorption kinetics measurements. The Langmuir, Freundlich and Temkin isotherms were applied to analyze the equilibrium data. The thermodynamic analysis of adsorption isotherms was performed. A number of equations and kinetic models were used to describe the adsorption rate data, including pseudo-first (PFOE) and pseudo-second (PSOE) order kinetic equations. The obtained test results show that the synthesized biomaterial, compared to pure chitosan, is characterized by greater resistance to high temperatures. Moreover, this biomaterial had excellent adsorption properties. For the adsorption of Cr (VI), the equilibrium state was reached after 120 min, and the sorption capacity was 455.9 mg/g. In addition, DFT calculations and NCI analyses were performed to get more light on the adsorption mechanism of Cr (VI) on the prepared biocomposite.
  11. Javed MA, Ali SW, Ashfaq M, Tabassam J, Ali M, IhsanUllah M, et al.
    Braz J Biol, 2022;82:e256189.
    PMID: 36541981 DOI: 10.1590/1519-6984.256189
    Bacteria blight is one of the most serious bacterial diseases of rice worldwide. The identification of genetic potential against bacterial blight in the existing rice resources is a prerequisite to develop multigenic resistance to combat the threat of climate change. This investigation was conducted to evaluate alleles variation in 38 Malaysian cultivars using thirteen Simple Sequences Repeats markers and one Sequence Tagged Sites (STS) marker which were reported to be linked with the resistance to bacterial blight. Based on molecular data, a dendrogram was constructed which classified the rice cultivars into seven major clusters at 0.0, 0.28 and 0.3 of similarity coefficient. Cluster 5 was the largest group comprised of ten rice cultivars where multiple genes were identified. However, xa13 could not be detected in the current rice germplasm, whereas xa2 was detected in 25 cultivars. Molecular analysis revealed that Malaysian rice cultivars possess multigenic resistance.
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