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  1. Johari NH, Lo KM, Ng SW
    PMID: 21582738 DOI: 10.1107/S1600536809022247
    The Sn(IV) atom in the title compound, [Sn(C(7)H(6)Cl)(3)Cl(C(18)H(15)AsO)], shows a distorted C(3)ClOSn trigonal bipyramidal coordination; the axial O-Sn-Cl angle is 170.22 (4)°.
  2. Johari NH, Osman K, Helmi NH, Abdul Kadir MA
    PMID: 23521065 DOI: 10.1080/10255842.2013.776548
    Efforts to model the human upper respiratory system have undergone many phases. Geometrical proximity to the realistic shape has been the subject of many research projects. In this study, three different geometries of the trachea and main bronchus were modelled, which were reconstructed from computed tomography (CT) scan images. The geometrical variations were named realistic, simplified and oversimplified. Realistic refers to the lifelike image taken from digital imaging and communications in medicine format CT scan images, simplified refers to the reconstructed image based on natural images without realistic details pertaining to the rough surfaces, and oversimplified describes the straight wall geometry of the airway. The characteristics of steady state flows with different flow rates were investigated, simulating three varied physical activities and passing through each model. The results agree with previous studies where simplified models are sufficient for providing comparable results for airflow in human airways. This work further suggests that, under most exercise conditions, the idealised oversimplified model is not favourable for simulating either airflow regimes or airflow with particle depositions. However, in terms of immediate analysis for the prediction of abnormalities of various dimensions of human airways, the oversimplified techniques may be used.
  3. Johari NH, Menichini C, Hamady M, Xu XY
    PMID: 37730441 DOI: 10.1002/cnm.3772
    Restenosis typically occurs in regions of low and oscillating wall shear stress, which also favor the accumulation of atherogenic macromolecules such as low-density lipoprotein (LDL). This study aims to evaluate LDL transport and accumulation at the carotid artery bifurcation following carotid artery stenting (CAS) by means of computational simulation. The computational model consists of coupled blood flow and LDL transport, with the latter being modeled as a dilute substance dissolved in the blood and transported by the flow through a convection-diffusion transport equation. The endothelial layer was assumed to be permeable to LDL, and the hydraulic conductivity of LDL was shear-dependent. Anatomically realistic geometric models of the carotid bifurcation were built based on pre- and post-stent computed tomography (CT) scans. The influence of stent design was investigated by virtually deploying two different types of stents (open- and closed-cell stents) into the same carotid bifurcation model. Predicted LDL concentrations were compared between the post-stent carotid models and the relatively normal contralateral model reconstructed from patient-specific CT images. Our results show elevated LDL concentration in the distal section of the stent in all post-stent models, where LDL concentration is 20 times higher than that in the contralateral carotid. Compared with the open-cell stents, the closed-cell stents have larger areas exposed to high LDL concentration, suggesting an increased risk of stent restenosis. This computational approach is readily applicable to multiple patient studies and, once fully validated against follow-up data, it can help elucidate the role of stent strut design in the development of in-stent restenosis after CAS.
  4. Mohd Suan MA, Asli SE, Abdullah WM, Shafie Z, Johari NH
    Int Q Community Health Educ, 2019 Jul;39(4):217-223.
    PMID: 30587080 DOI: 10.1177/0272684X18821306
    The purpose of this study is to explore diabetes patients' views on various factors contributing to nonadherence to dietary therapy. Using a qualitative approach, 17 in-depth interviews were conducted with type 2 diabetes mellitus patients at Hospital Sultanah Bahiyah, Kedah state, Malaysia. All interviews were audio recorded, transcribed verbatim, and translated before analysis. Thematic content analysis was used and three main themes emerged. The main factors that affect diabetes patients' dietary adherence were "individual preference," "family support," and "social and cultural activities." Difficulty to change the existing meals, poor family support, practice of eating out, and social and cultural gatherings were among the factors that influenced diabetes patients' adherence toward dietary therapy. Most challenges were related to the social role of food in the multicultural population. Therefore, in addition to the family and community involvement, dietary therapy should be individualized to improve patient adherence.
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