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  1. Rajendran SD, Wahab SN, Yeap SP
    Saf Health Work, 2020 Dec;11(4):537-542.
    PMID: 33329921 DOI: 10.1016/j.shaw.2020.06.007
    Background: Personal protective equipment (PPE) has been designed in such a way to reduce accident rates. Unfortunately, existing PPE is rather ineffective as it is not able to provide warning signals when hazard is around. The integration of intelligent systems is envisaged to increase the efficiency of existing PPE.

    Methods: This project designed a safety vest incorporated with metal detectors which can provide immediate warning to the field workers when there is metal hazard around. This product has greater freedom of design via smart manufacturing as it involves the assembly of few commercially available parts into a single entity. Briefly, the metal detector is a do it yourself (DIY) kit, and the safety vest is purchasable from any local market. The DIY kit was connected to a copper coil and being sewed into the safety vest.

    Results: The metal detector induces beeping sound when there is metal hazard around. A total of 121 engineering students were introduced to the prototype before being requested to answer a survey associated with the design. Respondents have rated >3.00/5.00 for the design simplicity, ease of usage, and light weight. Meanwhile, respondents suggested that the design should be further improved by increasing the metal detection range.

    Conclusion: It is envisaged that the introduction of this smart safety vest will allow the workers to carry out their duties securely by reducing the accident rates. Particularly, such design is expected to reduce workplace accident especially during night time at construction sites where the visibility is low.

  2. A Wahab SN, Said AH, Wan Ismail WH
    PMID: 38213388 DOI: 10.51866/cr.377
    Polyhydramnios is defined as an increase in the amount of amniotic fluid during pregnancy. This article presents the case of a 35-year-old G4P3 lady at 28 weeks of gestation with suboptimised gestational diabetes Mellitus (GDM). Routine transabdominal ultrasound showed the presence of polyhydramnios, initially thought to be due to suboptimal glucose control. Further evaluation revealed a congenital diaphragmatic hernia with multiple soft markers. Identifying the underlying causes of polyhydramnios can be challenging in primary care settings, which can be attributed to various factors. Although primary care medical officers may not be required to perform detailed scans, they have a crucial role in identifying gross foetal abnormalities. This study highlights the potential for missed diagnoses in primary care settings and the importance of comprehensive prenatal assessments to ensure early detection and appropriate management of polyhydramnios-related conditions in women with GDM.
  3. Anuar A, Ang WC, Ahmad Musadad NM, Abdol Wahab SN, Abdul Sukur N, Warijo O
    Curr Med Res Opin, 2022 02;38(2):327-338.
    PMID: 34719309 DOI: 10.1080/03007995.2021.2000738
    OBJECTIVE: This study aimed to assess COVID-19 knowledge, attitude and practice (KAP) among healthcare workers (HCWs) in northwest Malaysia and recognize the challenges faced working during the Movement Control Order (MCO). Commonly referred to as "MCO", this order enforcement is a series of national quarantine and cordon sanitaire measures implemented by the federal government of Malaysia in response to the COVID-19 pandemic as of 18th March 2020. It is akin to a national lockdown.

    METHODS: A multi-centric cross-sectional web-based study was conducted from 29th May to 27th July 2020 among HCWs in Perlis, Malaysia using a 19-item validated questionnaire [Cronbach's alpha: 0.61 (knowledge domain), 0.74 (attitude domain), and 0.72 (practice domain)]. Challenges when working during MCO were identified from a self-rated five-point Likert scale of 14-item.

    RESULTS: There were a total of 373 respondents (response rate more than 40%); 48.0% were nurses, 14.7% were medical doctors, and 12.9% were administrative and technical support staffs. Majority of HCWs (90.1%, n = 336) had good knowledge, optimistic attitude (54.7%, n = 204) and good COVID-19 preventive measure practices (90.9%, n = 339). Multiple logistic regression demonstrated that profession was the single significant factor for good COVID-19 KAP. Though having lesser odds of good knowledge (aOR 0.07, 95% CI:0.01-0.36, p = .009), nurses showed greater odds of good attitude (aOR 3.14, 95% CI: 1.71-5.76, p = .011) and practice (aOR 10.69, 95% CI:2.25-50.86, p = .022) as compared to doctors and dentists. Main challenges identified when working during MCO were increased workload (44.5%, n = 166), difficulty going out shopping (48.3%, n = 180), to exercise (40.2%, n = 150) and meet with family members (64.3%, n = 240).

    CONCLUSION: Generally, HCWs in Perlis had good KAP with regards to COVID-19 infection and its preventive measures. Challenges underlined by HCWs while working during the MCO were increased workload, difficulty to shop for daily essentials, exercise and meet with family members. Should good COVID-19 KAP be sustained, they might contribute to success in combating this disease.

  4. Mani V, Ramasamy K, Ahmad A, Wahab SN, Jaafar SM, Kek TL, et al.
    Phytother Res, 2013 Jan;27(1):46-53.
    PMID: 22447662 DOI: 10.1002/ptr.4676
    Alzheimer's disease (AD) is characterized by signs of major oxidative stress and the loss of cholinergic cells. The present study was designed to investigate the role of the total alkaloidal extract from Murraya koenigii (MKA) leaves on age related oxidative stress and the cholinergic pathway in aged mice. Ascorbic acid (100 mg/kg, p.o.) was used as a standard drug. The MKA improved the level of protective antioxidants such as glutathione peroxidase (GPx), reduced glutathione (GSH), glutathione reductase (GRD), superoxide dismutase (SOD) and catalase (CAT) in brain homogenate at higher doses (20 and 40 mg/kg, p.o.). Moreover, a dose dependent decline was noted in lipid peroxidation (LPO) and the nitric oxide assay (NO) at all doses of MKA (10, 20 and 40 mg/kg, p.o.). Interestingly, significant progress was noted with the supplementation of MKA by an improvement of the acetylcholine (ACh) levels and a reduction in the acetylcholinesterase (AChE) activity in aged mouse brain. In addition, a significant elevation of serum albumin (ALBU), alkaline phosphatase (ALP), alanine transaminase (ALT), aspartate transaminase (AST) and total protein as well as a decline in creatinine, total cholesterol, urea nitrogen and glucose levels with MKA also ameliorated the hepatic and renal functions in normal ageing process. The results showed the possible utility of Murraya koenigii leaves in neuroprotection against neurodegenerative disorders such as Alzheimer's disease.
  5. Uzir MUH, Bukari Z, Al Halbusi H, Lim R, Wahab SN, Rasul T, et al.
    Heliyon, 2023 Aug;9(8):e18666.
    PMID: 37560680 DOI: 10.1016/j.heliyon.2023.e18666
    Technology and its continuous advancement facilitate human beings to get rid of their criticality and limitation. Applied artificial intelligence (AAI) is one of the latest forms that delimited the limitation of human beings. Smartwatch acts as an applied artificial intelligence to assist various patients to check medical care without going to hospital and physicians. This (three) multiple-study research focused on the intention to use, purchase, and their satisfaction and spread positive word of mouth among others in the Ghanaian. To investigate these issues two renowned theories were underpinned- TAM theory and the Stimulus-Organism-Response (S-O-R). Total 550, 320, and 170 respondents were interviewed with Google forms due to COVID-19 using social media. AI-enabled smartwatch considering Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Perceived Credibility (PC), Perceived Self-Efficacy (PSE), and Perceived Financial Cost (PFC) were significant on intention to adoption and adoption intention on actual purchase. The final study showed device quality, its service level, their usage experience, perceived value, and the extent to which the satisfied customers made positive word of mouth to their friends and family, colleagues and followers. This research is significant in understanding the usage of AI-enabled smartwatches as a device doctor or electronic doctor (e-doctor).
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