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  1. Alam T, Rahman SM, Alam T, Habib N, Umar BU, Banna QR, et al.
    JNMA J Nepal Med Assoc, 2014 Jul-Sep;52(195):892-6.
    PMID: 26982662
    Long term physical training has been considered to adversely affect the performance of athletes especially the females. It may be due to the iron depletion caused by hemolysis or hemodilution results from plasma volume expansion. This study aims to assess the effect of heavy exercise on hemoglobin concentration and some other hematological parameters in female athletes.
  2. Khan RU, Khattak H, Wong WS, AlSalman H, Mosleh MAA, Mizanur Rahman SM
    Comput Intell Neurosci, 2021;2021:9023010.
    PMID: 34925497 DOI: 10.1155/2021/9023010
    The deaf-mutes population always feels helpless when they are not understood by others and vice versa. This is a big humanitarian problem and needs localised solution. To solve this problem, this study implements a convolutional neural network (CNN), convolutional-based attention module (CBAM) to recognise Malaysian Sign Language (MSL) from images. Two different experiments were conducted for MSL signs, using CBAM-2DResNet (2-Dimensional Residual Network) implementing "Within Blocks" and "Before Classifier" methods. Various metrics such as the accuracy, loss, precision, recall, F1-score, confusion matrix, and training time are recorded to evaluate the models' efficiency. The experimental results showed that CBAM-ResNet models achieved a good performance in MSL signs recognition tasks, with accuracy rates of over 90% through a little of variations. The CBAM-ResNet "Before Classifier" models are more efficient than "Within Blocks" CBAM-ResNet models. Thus, the best trained model of CBAM-2DResNet is chosen to develop a real-time sign recognition system for translating from sign language to text and from text to sign language in an easy way of communication between deaf-mutes and other people. All experiment results indicated that the "Before Classifier" of CBAMResNet models is more efficient in recognising MSL and it is worth for future research.
  3. Jamaluddin A, Mohd Abd Rahman SM, Abd Manan M, Abd Razak DL, Abd Rashid NY, Abd Ghani A, et al.
    Cell Mol Biol (Noisy-le-grand), 2023 Nov 15;69(11):9-16.
    PMID: 38015547 DOI: 10.14715/cmb/2023.69.11.2
    In this study, UVA- and UVB-irradiated human fibroblasts were used to investigate the anti-photoaging efficacy of two aqueous extracts from Aspergillus oryzae-fermented broken rice (FBR) and brewers' rice (FBrR). As UVA and UVB can damage the dermal and epidermal layers, respectively, two UV radiation approaches were utilised: i) direct UVA irradiation on fibroblasts, and ii) UVB-irradiated keratinocytes indirectly co-cultured with fibroblasts to observe their epithelial-mesenchymal interaction during UVB-induced photoaging. The anti-photoaging properties were tested utilising biochemical tests and quantitative polymerase chain reaction (qPCR). The treatment of UV-irradiated human fibroblasts with FBR and FBrR dramatically downregulates MMP-1 and SFE gene expression. Nonetheless, MMP-1 secretion was inhibited by FBR and FBrR, with more substantial decreases in UVB-treated co-cultures, ranging from 0.76- to 1.89-fold relative to the untreated control. In UVA-treated fibroblasts, however, the elastase-inhibiting activity of FBR and FBrR is up to 1.63-fold and 2.13-fold more potent, respectively. In addition, post-UV irradiation treatment with FBR and FBrR was able to repair and enhance collagen formation in UVA-irradiated fibroblasts. Both FBR and FBrR were able to upregulate elastin gene expression in fibroblasts under both culture conditions, especially at 50 µg/mL. The pro-inflammatory cytokines TNF-, IL-1ß, and IL-6 were likewise lowered by FBR and FBrR, which may have contributed to the anti-photoaging effect of the UVB-treated co-culture. These results reveal that FBR and FBrR inhibit photoaging in human fibroblasts under both UV induction conditions. In conclusion, FBR and FBrR may be attractive bio-ingredients for usage in the cosmetic sector as cosmeceuticals.
  4. Algin S, Banik D, Rahman SA, Mahmud Tusher S, Tuj Johora F, Akter A, et al.
    Cureus, 2024 Apr;16(4):e57877.
    PMID: 38596207 DOI: 10.7759/cureus.57877
    Treatment of resistant obsessive-compulsive disorder (OCD) typically results in insufficient symptom alleviation, and even long-term medication often fails to have the intended effect. Ketamine is a potent non-competitive antagonist of the N-methyl-D-aspartate (NMDA) receptor. Studies have shown that low-dose ketamine infusion results in a considerable reduction in obsessive-compulsive symptoms and a rapid resolution of suicidal ideation. This is a case report on the effect of intravenous ketamine infusion on a patient with resistant OCD and severe suicidal ideation. Intravenous (IV) ketamine was given once a week over consecutive three weeks with necessary precautions. Psychometric tools such as the Yale-Brown Obsessive Compulsive Scale (Y-BOCS), the Clinical Global Impressions Scale (CGI-S), the Beck Scale for Suicidal Ideations (BSSI), and Depression Anxiety and Stress Scale 21 (DASS-21) were applied before and after infusions. Obsessive-compulsive symptoms and suicidal severity started to decrease rapidly after the first infusion. However, after a transient improvement, these symptoms again began to increase after a stressful incident on the second day of the first infusion. All the symptoms measured by validated rating scales showed continued improvement after the following two infusions. The improvement was sustained until discharge (one week after the last infusion) and subsequent follow-up in the sixth and 12th weeks. The role of ketamine in reducing suicidal thoughts and behavior is already established. Very few studies emphasized its effectiveness in improving severe/resistant obsessive-compulsive symptoms. This pioneering work may offer scope for similar research in the relevant field.
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