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  1. Md Najib A, Yusof KM, Wan Shuaib WMA, Shafee MS, Mohd Nor F
    Int J Legal Med, 2025 Jan;139(1):253-265.
    PMID: 39302346 DOI: 10.1007/s00414-024-03328-7
    Postmortem analysis of C-reactive protein (CRP) in autopsies has been extensively researched for its potential utility. This analysis could aid forensic pathologists in screening for and investigating the potential infectious or inflammatory causes of death, thereby guiding appropriate autopsy procedures. To assess the diagnostic accuracy of postmortem CRP analysis in autopsy settings, a thorough electronic literature search was conducted across databases such as PubMed, Scopus, Web of Science, and Cochrane Library. Two independent reviewers screened eligible studies, followed by a methodological quality assessment using the QUADAS-2 checklist. Utilising a random-effects model, hierarchical summary receiver operating characteristic (HSROC) curve analysis and bivariate model meta-analysis were performed to evaluate heterogeneity across studies. Of the 1286 studies initially identified, nine met the eligibility criteria for the final analysis. The pooled sensitivity of postmortem CRP analysis was 0.93 (95% CI, 0.76, 0.98), with a pooled specificity of 0.80 (95% CI, 0.71, 0.87). The prevalence across studies ranged from 0.23 to 0.68, with a median of 0.5. Moderate variability was observed in the heterogeneity assessment across the primary studies. In summary, the study findings indicate that postmortem serum CRP analysis demonstrates high diagnostic accuracy with moderate heterogeneity. Additionally, postmortem CRP testing may be useful as a screening tool in autopsy practice to rule out the likelihood of sepsis.
  2. Gao Y, Ahmed D, Hafeez M, Ali Q, Abbas Y, Maqbool A
    Environ Sci Pollut Res Int, 2024 Nov;31(52):61558-61575.
    PMID: 39432217 DOI: 10.1007/s11356-024-35315-1
    Several efforts have been made to explore the income inequality influence on environmental degradation, but the query regarding the nexus of income inequality and renewable energy consumption (REC) is still unanswered. This vacuum in existing literature has raised the need to inspect the relationship between income inequality and REC. Thus, this study purposes to investigate the asymmetric effect of income inequality on REC for emerging Asian economies over the period 1990-2019 by adopting the nonlinear autoregressive distributed lag (NARDL) approach. The panel-wise long-run results infer that positive shock in income inequality exerts a significant negative effect on REC, while negative shock in income inequality has an insignificant effect on REC. Likewise, economy-wise long-run findings reveal that a positive shock in income inequality brings a negative and statistically significant influence on REC in the case of China, India, and Iran, while a negative shock in income inequality brings a positive influence on REC only in case of Russia.
  3. Rahman NA, Abdullah MY, Abidin M'Z, Nah SA, MYPaedSurg Research Collaboration
    Pediatr Surg Int, 2024 Oct 14;40(1):270.
    PMID: 39402403 DOI: 10.1007/s00383-024-05844-4
    PURPOSE: Improved perioperative care has enhanced survival in children with congenital gastrointestinal conditions and abdominal wall defects (AWD). However, epidemiological and surgical outcomes in developing nations are still scarce. Our aim was to assess the burden and mortality of common congenital gastrointestinal anomalies and AWD in Malaysia, and their influencing factors.

    METHODS: Using the Global PaedSurg study protocol with permission, we performed a prospective cohort study on children presenting for the first time between October 2021 and April 2022 with these conditions: Esophageal atresia (EA), congenital diaphragmatic hernia (CDH), intestinal atresia, gastroschisis, exomphalos, anorectal malformation (ARM) and Hirschsprung's disease. We compared mortality and 30-day outcome data across different geographical regions in Malaysia.

    RESULTS: There were 228 patients with 242 study conditions (EA n = 28, CDH n = 36, intestinal atresia n = 49, gastroschisis n = 12, exomphalos n = 8, ARM n = 77, Hirschsprung's disease n = 32). Our mortality rate was 8.8%; 60% of these were CDH patients. Factors significantly associated with mortality were CDH diagnosis, central venous access requirement, higher American Society of Anesthesiologists (ASA) score, blood transfusion and ventilation requirement.

    CONCLUSION: Diagnosis of CDH is the most important predictor for sepsis on arrival and mortality, therefore measures should be taken for early recognition and aggressive management.

  4. Zaini MS, Liew JYC, Paiman S, Tee TS, Kamarudin MA
    J Fluoresc, 2025 Jan;35(1):245-256.
    PMID: 38038875 DOI: 10.1007/s10895-023-03528-1
    Waste peels are considered an environmental burden and typically disposed in landfills. The aim of this study was to investigate the effects of various solvents on the luminescence properties of carbon quantum dots (CQDs). Watermelon peels were recycled and reuse as precursors for the synthesis of biomass CQDs via a green carbonization method. The colloidal stability, surface charge, and particle size were characterized using zeta potential and dynamic light scattering (DLS). DLS revealed that the size of the CQDs was approximately 5.80 ± 0.4 nm to 9.74 ± 0.8 nm. The high-resolution transmission electron microscopy (HRTEM) results demonstrated a correlation with the DLS results. The optical properties were characterized by photoluminescence (PL) and UV-Visible (UV-Vis) spectroscopy. PL measurements at different excitation wavelengths revealed that the CQDs emissions were influenced by the polarity of the solvents. Meanwhile, the Fourier transform infra-red (FTIR) results showed the presence of oxygen-containing groups on the surface of the CQDs. These results deepen our understanding of the solvent-dependent behavior and colloidal stability of the CQDs.
  5. Shahbaz M, Palaniveloo K, Tan YS, Palasuberniam P, Ilyas N, Wiart C, et al.
    World J Microbiol Biotechnol, 2024 May 29;40(7):217.
    PMID: 38806748 DOI: 10.1007/s11274-024-04022-x
    Plant pathogens with their abundance are harmful and cause huge damage to different agricultural crops and economy of a country as well as lead towards the shortage of food for humans. For their management, the utilization of entomopathogenic fungi is an eco-friendly technique, sustainable to the environment, safe for humans and has promising effect over chemical-based pesticides. This process requires a biochemical mechanism, including the production of enzymes, toxins, and other metabolites that facilitate host infection and invasion. Essential enzymes such as chitinase, proteinase, and lipase play a direct role in breaking down the host cuticle, the primary barrier to EPF (Entomopathogenic Fungi) infection. Additionally, secondary metabolites such as destruxins in Metarhizium, beauvericin in Beauveria, hirsutellides in Hirsutella, isarolides in Isaria, cordyols in Cordyceps, and vertihemipterins in Verticillium, among others, act both directly and indirectly to disable the defense mechanisms of insect hosts, thereby accelerating the EPF infection process. The chemical composition of these secondary metabolites varies, ranging from simple non-peptide pigments such as oosporine to highly complex piperazine derivatives such as vertihemiptellides. The biocontrol efficacy of EPF is extensively studied, with numerous fungal strains commercially available on a large scale for managing arthropod pests. This review emphasizes the role of proteins and enzymes against crop pathogens, detailing their mode of action, and describing the metabolites from entomopathogenic fungi and their biological activities. In doing so, these findings contribute to establishing a symbiotic equilibrium between agricultural productivity and environmental conservation.
  6. Uthaya Kumar A, Ahmad Zan M, Ng CL, Chieng S, Nathan S
    Curr Microbiol, 2024 Jun 04;81(7):208.
    PMID: 38833191 DOI: 10.1007/s00284-024-03748-z
    Diabetes mellitus (DM) leads to impaired innate and adaptive immune responses. This renders individuals with DM highly susceptible to microbial infections such as COVID-19, tuberculosis and melioidosis. Melioidosis is a tropical disease caused by the bacterial pathogen Burkholderia pseudomallei, where diabetes is consistently reported as the most significant risk factor associated with the disease. Type-2 diabetes is observed in 39% of melioidosis patients where the risk of infection is 13-fold higher than non-diabetic individuals. B. pseudomallei is found in the environment and is an opportunistic pathogen in humans, often exhibiting severe clinical manifestations in immunocompromised patients. The pathophysiology of diabetes significantly affects the host immune responses that play a critical role in fighting the infection, such as leukocyte and neutrophil impairment, macrophage and monocyte inhibition and natural killer cell dysfunction. These defects result in delayed recruitment as well as activation of immune cells to target the invading B. pseudomallei. This provides an advantage for the pathogen to survive and adapt within the immunocompromised diabetic patients. Nevertheless, knowledge gaps on diabetes-infectious disease comorbidity, in particular, melioidosis-diabetes comorbidity, need to be filled to fully understand the dysfunctional host immune responses and adaptation of the pathogen under diabetic conditions to guide therapeutic options.
  7. Ponraj A, Nagaraj P, Balakrishnan D, Srinivasu PN, Shafi J, Kim W, et al.
    Digit Health, 2025;11:20552076241313161.
    PMID: 39839961 DOI: 10.1177/20552076241313161
    PURPOSE: Breast cancer encompasses various subtypes with distinct prognoses, necessitating accurate stratification methods. Current techniques rely on quantifying gene expression in limited subsets. Given the complexity of breast tissues, effective detection and classification of breast cancer is crucial in medical imaging. This study introduces a novel method, MPa-DCAE, which uses a multi-patch-based deep convolutional auto-encoder (DCAE) framework combined with VGG19 to detect and classify breast cancer in histopathology images.

    METHODS: The proposed MPa-DCAE model leverages the hierarchical feature extraction capabilities of VGG19 within a DCAE framework, designed to capture intricate patterns in histopathology images. By using a multi-patch approach, regions of interest are extracted from pathology images to facilitate localized feature learning, enhancing the model's discriminatory power. The auto-encoder component enables unsupervised feature learning, increasing resilience and adaptability to variations in image features. Experiments were conducted at various magnifications on the CBIS-DDSM and MIAS datasets to validate model performance.

    RESULTS: Experimental results demonstrated that the MPa-DCAE model outperformed existing methods. For the CBIS-DDSM dataset, the model achieved a precision of 97.96%, a recall of 94.85%, and an accuracy of 98.36%. For the MIAS dataset, it achieved a precision of 97.99%, a recall of 97.2%, and an accuracy of 98.95%. These results highlight the model's robustness and potential for clinical application in computer-assisted diagnosis.

    CONCLUSION: The MPa-DCAE model, integrating VGG19 and DCAE, proves to be an effective, automated approach for diagnosing breast cancer. Its high accuracy and generalizability make it a promising tool for clinical practice, potentially improving patient care in histopathology-based breast cancer diagnosis.

  8. Faisal DR, Noveyani AE, Purwatiningsih Y, Lestyoningrum SD, Putro WG, Mikrajab MA, et al.
    Malays J Med Sci, 2024 Dec;31(6):112-125.
    PMID: 39830107 DOI: 10.21315/mjms2024.31.6.9
    Southeast Asia (SEA) countries are characterised by a high burden of tuberculosis (TB). This research seeks to compile evidence of the prevalence and risk factors associated with TB among children in SEA countries. The searching of articles was conducted for four databases (PubMed, Scopus, Embase, and the Web of Science) published between 2013 and 2023 in the English language. The quality of articles was evaluated using the Joanna Briggs Institute (JBI) Critical Appraisal Tool for Assessment of Risk Bias for Cross-Sectional studies. This research was reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guideline. Eight studies were included in the systematic review. The prevalence of paediatric TB in SEA countries varies between 1.50% and 38.10%. Risk factors associated with the occurrence of TB in children include the nutritional status, the Bacillus Calmette-Guérin (BCG) vaccine status, close contact with TB patients, parental smoking behaviour, unhealthy living conditions, and socioeconomic determinants. The continued high prevalence of TB in several SEA countries, particularly among children, remains a significant public health concern. The various risk factors summarised can serve as a basis for implementing interventions aimed at reducing cases and preventing the transmission of TB among children.
  9. Adnan MAA, Sahril N, Abd Razak MA, Shamsuddin N, Hasim Hashim MH, Abdul Mutalip MH
    J Health Popul Nutr, 2024 Nov 29;43(1):200.
    PMID: 39614324 DOI: 10.1186/s41043-024-00689-y
    BACKGROUND: Inadequate knowledge of human immunodeficiency virus (HIV) is underscored as a key factor contributing to the HIV epidemic. Nonetheless, current data on HIV knowledge in Malaysia are still scarce. Therefore, this study aimed to assess the prevalence of inadequate HIV knowledge and its associated factors among the general Malaysian population.

    METHOD: The study utilized data from the National Health and Morbidity Survey (NHMS) 2020, a nationwide cross-sectional survey employing a two-stage stratified random sampling technique to ensure national representativeness. HIV knowledge was assessed using the UNGASS indicators questionnaire, which comprises five questions on HIV prevention and transmission. The data were collected using the computer assisted telephone interviewing (CATI) method. Respondents who did not correctly answer all five questions were considered to have inadequate knowledge about HIV. Descriptive analysis and complex sample logistic regression were performed using SPSS version 28.0.

    RESULTS: The survey identified 5,561 eligible respondents, leading to the participation of 3,187 individuals in the second phase of the study, which resulted in a response rate of 57.3%. Our study revealed an overall prevalence of inadequate HIV knowledge at 77.4%, with adolescents aged 13-19 exhibiting the highest prevalence at 86.1%. Multiple logistic regression analysis indicated that respondents with no formal education (aOR 4.34, 95% CI: 0.65, 29.08) were over four times more likely to lack HIV knowledge. Additionally, respondents with only secondary education had an increased risk of 1.79 times. Individuals residing in rural areas were significantly more likely to have inadequate HIV-related knowledge. Furthermore, respondents who worked as unpaid workers, homemakers, or caregivers (aOR 1.71, 95% CI: 1.05, 2.82) showed a higher likelihood of lacking HIV knowledge.

    CONCLUSION: Three out of four individuals in the general Malaysian population were found to lack sufficient knowledge about HIV. This underscores the need for targeted interventions in HIV education, particularly in rural areas and among populations with lower educational attainment. Additionally, digital platforms and youth-focused campaigns could be especially effective for reaching adolescents. Policymakers must prioritize inclusive, accessible HIV prevention strategies to address these gaps and reduce transmission rates.

  10. Zakaria MR, Vodovnik M, Zorec M, Liew KJ, Tokiman L, Chong CS
    Antonie Van Leeuwenhoek, 2024 Nov 29;118(1):38.
    PMID: 39613983 DOI: 10.1007/s10482-024-02045-w
    The underexplored halophilic genus Joostella within the Flavobacteriaceae family consists of only two species, both of which have received little attention for their potential biotechnological applications. In this study, we report the isolation and characterisation of a novel halophilic bacterium, strain CR20, using a genomic approach to investigate its biotechnological potential. Analysis of the 16S rRNA gene revealed that strain CR20 shares 97.5% and 96.2% sequence similarity with Joostella marina DSM 19592 T and Joostella atrarenae M1-2 T, respectively. Strain CR20 exhibited average nucleotide identity and digital DNA-DNA hybridisation values of 76.8-79.1% and 20.8-22.8%, respectively, with Joostella spp., which fall below the species delineation thresholds. Additionally, strain CR20 demonstrated average amino acid identity and percentage of conserved proteins values of 81.3-84.0% and 71.7-75.3%, respectively, with Joostella spp., above the genus delineation thresholds. Meanwhile, the average amino acid identity and percentage of conserved proteins values of strain CR20 against Galbibacter spp. are 73.9-80.0% and 61.3-72.3%, respectively, also above the genus delineation thresholds. These findings indicated strain CR20 has a close relationship with both genera. Chemotaxonomic analysis of strain CR20 identified predominant fatty acids, including iso-C17:0 3OH (25.3%), iso-C15:0 (14%), and C16:1 ω6c/C16:1 ω7c (12.2%). The assembled genome comprises 62 contigs, with a size of approximately 3,168,727 bp and a G + C content of 35.1%. Among 2,804 predicted genes, 2,559 were classified into 25 COG functional groups. A total of 68 genes with potential industrial applications were identified, including 1 β-mannanase, 2 β-xylosidases, 1 polysaccharide deacetylase, 4 other hemicellulases, 6 β-glucosidases, 25 proteases, and 29 phosphate-solubilising enzymes. Hydrolytic assays confirmed that strain CR20 produces these enzymes extracellularly. These findings highlight strain CR20 has potential for industrial applications.
  11. Othman MZ, Mohd Nasir MH, Wan Ahmad WAN, Abdullah JM, Che Has AT
    Exp Anim, 2025 Jan 09.
    PMID: 39779249 DOI: 10.1538/expanim.24-0120
    Status epilepticus is linked to cognitive decline due to damage to the hippocampus, a key structure involved in cognition. The hippocampus's high vulnerability to epilepsy-related damage is the main reason for this impairment. Convulsive seizures, such as those observed in status epilepticus, can cause various hippocampal pathologies, including inflammation, abnormal neurogenesis, and neuronal death. Interestingly, substantial evidence points to the therapeutic potential of the sedative/hypnotic agent zolpidem for neurorehabilitation in brain injury patients, following the unexpected discovery of its paradoxical awakening effect. In this study, we successfully established an ideal lithium-pilocarpine rat model of status epilepticus, which displayed significant deficits in hippocampal-dependent learning and memory. The Morris water maze test was used to assess zolpidem's potential to improve learning and memory, as well as its impact on anxiety-like behavior and motor function. Immunohistochemical staining and fluorescence analysis were used to examine the effect of zolpidem on KCC2 and NKCC1 protein expression in the hippocampal CA1 and CA3. Our findings showed that zolpidem did not improve learning and memory in status epilepticus rats. Additionally, its sedative/hypnotic effects were not apparent in the status epilepticus condition. However, immunohistochemical results revealed that zolpidem significantly restored altered NKCC1 levels in the CA1 and CA3 to levels similar to those seen in normal rats. These findings suggest that zolpidem may contribute to molecular restoration, particularly through its impact on NKCC1 protein expression in the hippocampus, which is crucial for proper inhibitory neurotransmission in the brain.
  12. Sadikan MZ, Lambuk L, Reshidan N, Ahmad Hairi H, Abd Ghapor AA, Mohamud R, et al.
    J Ocul Pharmacol Ther, 2025 Apr;41(3):89-100.
    PMID: 39778903 DOI: 10.1089/jop.2024.0125
    Vitamin E is renowned for its potent antioxidant properties, crucial for shielding cells against oxidative stress and damage. Deficiency in this vitamin can lead to various health issues, including neurodegenerative diseases, due to its pivotal role in preserving cell membrane integrity and combating cellular oxidative damage. While its importance for overall health, including neurodegeneration, is acknowledged, the specific correlation between vitamin E deficiency and distinct ocular neurodegenerative disorders need to be further explored. This review delves into the molecular mechanisms of vitamin E in ocular neurodegenerative disorders; diabetic retinopathy, age-related macular degeneration, glaucoma, and cataracts, and emphasising the therapeutic implications drawn from existing evidence. Relationship between vitamin E and ocular neurodegenerative disorders is widely researched on, with its primary protective mechanisms attributed to its antioxidant and anti-inflammatory properties. However, studies on the supplementation of vitamin E among human subjects present mixed results, suggesting its complexities and variability depending on factors such as the specific disorder, disease stage, genetic differences, and form of vitamin E utilized. In conclusion, while vitamin E holds promise in mitigating ocular neurodegeneration through its antioxidant and anti-inflammatory properties, its supplementation's efficacy remains nuanced and context dependent. More research works are essential to elucidate its precise role and therapeutic potential in combating various ocular neurodegenerative disorders.
  13. Che Jamaludin FI, Abdullah MRTL, Endut MNAA, Saifuddeen SM, Hamimi KA, Harun S
    BMJ Open, 2025 Jan 06;15(1):e082263.
    PMID: 39762112 DOI: 10.1136/bmjopen-2023-082263
    INTRODUCTION: In an increasingly diverse healthcare landscape, addressing the specific needs of Muslim patients has become paramount. The absence of comprehensive frameworks for Shariah-compliant healthcare services often poses challenges for healthcare professionals striving to provide care that aligns with Islamic values.

    OBJECTIVE: The objective of this study was to develop a comprehensive framework for Shariah-compliant healthcare services, ensuring alignment with Islamic practices in healthcare.

    METHODS, SETTING, PARTICIPANTS: This consensus study employed a key input approach using the fuzzy Delphi method (FDM) and interpretive structural modelling. Conducted in Malaysia, the study involved 10 experts from various regions across the country. These experts were selected based on clear criteria that included professionals with experience in Islamic and/or healthcare, while those lacking relevant expertise were excluded.

    RESULTS: The primary outcome was the identification of pertinent elements for the framework, with final elements measured based on expert consensus achieved through FDM. The panel of experts reached consensus on 10 essential elements that form the backbone of the framework for Shariah-compliant healthcare services. These elements include governance, medical ethics, patient care, human resources and professional development, facilities for Islamic worship (ibadah), spiritual care support, end-of-life care, Islamic environment, medicine and drugs, and affordability and accessibility.

    CONCLUSION: Ultimately, the development of this comprehensive framework is a crucial step in addressing the specific needs and concerns of Muslim patients worldwide. By incorporating the input and consensus of experts from various relevant fields, the resulting framework provides healthcare professionals with a solid foundation to deliver healthcare services that align with Islamic values, ultimately promoting the well-being of Muslim patients in Malaysia and tourists globally.

  14. Tengku Hamzah TNN, Mahmood MM, Izham MS, Goh YC
    J Paediatr Child Health, 2025 Jan;61(1):80-86.
    PMID: 39501586 DOI: 10.1111/jpc.16718
    AIM: This is a retrospective cross-sectional study of oral and maxillofacial biopsies in paediatric population, up to 16 years of age from 1991 to 2021. This study aimed to investigate the frequency, demographic and clinicopathological characteristics of paediatric biopsies according to the diagnosis categories of the main tertiary centre in Malaysia.

    METHODS: A total of 17294 histopathological reports from Diagnostic Oral Pathology Unit between 1991 and 2021 were retrieved. One thousand eleven histopathological reports that fulfilled the inclusion and exclusion criteria were included. Information of interest was extracted from histopathological reports. The lesions were categorised into 10 diagnosis categories. Descriptive and correlation analysis were performed.

    RESULTS: Paediatric oral and maxillofacial biopsies accounted for 5.9% of the total biopsies received. The peak incidence of diagnosis was in age range of 12 to 16 years old and mean age of 11.6 years old (±3.5), with female preponderance. The most common category of diagnosis was salivary gland pathology with mucocele (30%) being the most frequently diagnosed lesions. Lip and labial mucosa were the commonest site of occurrence. Specimen sizes smaller than 1 cm were the most common specimen diameter with mean size of 1.6 cm (±1.5). Age, site of occurrence and specimen size were statistically significant (P 

  15. Kamil NZIA, Mokhtar AH, Yahya A, Zain FM, Selamat R, Ishak Z, et al.
    BMC Public Health, 2025 Jan 09;24(Suppl 1):3625.
    PMID: 39789486 DOI: 10.1186/s12889-024-20725-0
    BACKGROUND: Effective and feasible large-scale interventions are urgently needed to reverse the current rise in childhood obesity. The objective of this study was to evaluate the efficacy of a multicomponent intervention program, MyBFF@school, on anthropometric indices and body composition metrics among overweight and obese adolescent schoolchildren in Malaysia.

    METHODS: This is a cluster randomized controlled trial which involved schoolchildren aged 13, 14 and 16 years old from 15 out of 415 government secondary schools in central Peninsular Malaysia which were randomly assigned into six intervention (N = 579 schoolchildren) and nine control (N = 462 schoolchildren).The intervention group followed MyBFF@school program carried out by trained personnel for 6 month while the control group only followed the existing school curriculum by the Ministry of Education. The primary outcomes presented in this study were body mass index adjusted for age (BMI z-score), waist circumference (WC), percentage body fat (PBF) and skeletal muscle mass (SMM), measured at baseline, three and six months. Analyses of all outcomes except for the baseline characteristics were conducted according to the intention-to-treat principle. Mixed linear models adjusted for baseline outcome value and gender were used to evaluate the effectiveness after three and six months of intervention.

    RESULTS: Overall, there was no significant difference in the mean difference (MD) of BMI z-score (MD = 0.05, Confident Interval (95%CI: -0.077 to 0.194), WC (MD = 0.437, (95%CI:-3.64 to 0.892), PBF (MD = 0.977,95%CI:-1.04 to 3.0) and SMM (MD = 0.615,95%CI:-2.14,0.91) between the intervention and control group after 6 months of intervention after controlling for outcomes measured at baseline and gender.

    CONCLUSIONS: Although the MyBFF@school programme appeared promising in engaging children and promoting awareness of healthy behaviors, it did not lead to significant improvements in the anthropometric outcomes. Possible reasons for the lack of effectiveness could include the need for more intensive or targeted interventions, parental involvement, or challenges in sustaining behavior changes outside of school settings.

    TRIAL REGISTRATION: Clinical trial number: NCT04155255, November 7, 2019 (Retrospective registered). National Medical Research Register: NMRR-13-439-16,563. Registered July 23, 2013. The intervention program was approved by the Medical Research and Ethics Committee (MREC), Ministry of Health Malaysia and Educational Planning and Research Division (EPRD), Ministry of Education Malaysia. It was funded by the Ministry of Health Malaysia.

  16. Abdelsalam SS, Zahid MA, Ghanem SK, Khan A, Parray A, Agouni A
    Int J Mol Sci, 2024 Dec 16;25(24).
    PMID: 39769227 DOI: 10.3390/ijms252413463
    Sestrin2 (SESN2) is a stress-inducible protein known for its cytoprotective functions, but its role in diabetic vascular complications remains unclear. This study investigated the impact of SESN2 on methylglyoxal (MGO)-induced endothelial-mesenchymal transition (EndMT). Human endothelial cells were transfected with SESN2 siRNA duplexes to silence SESN2 expression, followed by MGO treatment. SESN2 knockdown significantly exacerbated MGO-induced oxidative stress, as evidenced by the reduced expression of antioxidant markers. Furthermore, SESN2 silencing enhanced the inflammatory response to MGO, demonstrated by the increased levels of pro-inflammatory cytokines. Notably, SESN2 deficiency promoted EndMT, a key process in diabetes-induced cardiovascular complications, as shown by the increased expression of mesenchymal markers and the decreased expression of endothelial markers. These findings suggest that SESN2 plays a critical protective role in endothelial cells against MGO-induced damage. The study provides novel insights into the molecular mechanisms underlying diabetic cardiovascular complications and identifies SESN2 as a potential therapeutic target for preventing endothelial dysfunction in diabetes. Our results indicate that SESN2 downregulation may contribute to the pathogenesis of diabetic vascular complications by promoting EndMT, increased oxidative stress, and inflammation.
  17. Zahidin MA, Mohd Noor NH, Johan MF, Abdullah AD, Zulkafli Z, Edinur HA
    Sci Data, 2025 Jan 07;12(1):28.
    PMID: 39774005 DOI: 10.1038/s41597-024-04334-5
  18. Ali M, Mazhar T, Al-Rasheed A, Shahzad T, Yasin Ghadi Y, Amir Khan M
    PeerJ Comput Sci, 2024;10:e1860.
    PMID: 39669467 DOI: 10.7717/peerj-cs.1860
    Effective software defect prediction is a crucial aspect of software quality assurance, enabling the identification of defective modules before the testing phase. This study aims to propose a comprehensive five-stage framework for software defect prediction, addressing the current challenges in the field. The first stage involves selecting a cleaned version of NASA's defect datasets, including CM1, JM1, MC2, MW1, PC1, PC3, and PC4, ensuring the data's integrity. In the second stage, a feature selection technique based on the genetic algorithm is applied to identify the optimal subset of features. In the third stage, three heterogeneous binary classifiers, namely random forest, support vector machine, and naïve Bayes, are implemented as base classifiers. Through iterative tuning, the classifiers are optimized to achieve the highest level of accuracy individually. In the fourth stage, an ensemble machine-learning technique known as voting is applied as a master classifier, leveraging the collective decision-making power of the base classifiers. The final stage evaluates the performance of the proposed framework using five widely recognized performance evaluation measures: precision, recall, accuracy, F-measure, and area under the curve. Experimental results demonstrate that the proposed framework outperforms state-of-the-art ensemble and base classifiers employed in software defect prediction and achieves a maximum accuracy of 95.1%, showing its effectiveness in accurately identifying software defects. The framework also evaluates its efficiency by calculating execution times. Notably, it exhibits enhanced efficiency, significantly reducing the execution times during the training and testing phases by an average of 51.52% and 52.31%, respectively. This reduction contributes to a more computationally economical solution for accurate software defect prediction.
  19. Rafeh MA, Abbasi AZ, Hollebeek LD, Ali MA, Ting DH
    Health Mark Q, 2024;41(4):375-406.
    PMID: 38832765 DOI: 10.1080/07359683.2024.2355378
    Though the pandemic has passed, social media-based messaging continues to exhibit COVID-19-related cues (e.g., wearing a face mask to stay safe), continuing to foster consumers' health-protective behavior. However, it remains unclear how social media communications (e.g., advertising) affect such behavior, exposing an important literature-based gap. Addressing this gap, we deploy Ducoffe's advertising value model to examine how pandemic-related advertisements (e.g., those urging consumers to stay safe, including post-the pandemic) impact their health-protective behavior. We also examine how consumer engagement (CE) mediates these associations. To explore these issues, we collected data from a sample of 301 Gen Z consumers, which was analyzed using partial least squares structural equation modeling (PLS-SEM). We find that informative, credible, irritating, and obtrusive ads raise consumer engagement and health-protective behavior. Engagement was also found to strengthen these associations, revealing their strategic value. We conclude by outlining important theoretical and practical implications that arise from our analyses.
  20. Kakar SK, Wang J, Arshed N, Le Hien TT, Abdullahi NM
    Heliyon, 2024 Dec 15;10(23):e40683.
    PMID: 39687159 DOI: 10.1016/j.heliyon.2024.e40683
    Human activities, primarily economic growth, and technological innovation, threaten global biodiversity. This study utilizes 22-year panel data from 87 developing countries and a novel cross-sectional heterogeneous factor analysis-based financial technology index to investigate how economic growth, renewable energy consumption, technological innovation, natural resources, and financial technology affect biodiversity. To account for cross-sectional dependency, this study employed a Panel Autoregressive Distributive Lagged with Pooled Mean Group specifications within the Driscoll and Kraay standard error estimator. The findings revealed that the log of Gross Domestic Product (GDP) had an inverted U-shaped effect. Moreover, economic growth, renewable energy, and FinTech can improve biodiversity conservation. Traditionally, technological innovation and unregulated resource exploitation have posed threats to biodiversity. This study focused on responsible economic development and practical solutions to biodiversity threats posed by technological innovation and unrestrained resource use. FinTech can promote sustainable behaviors and divert funds from ecosystem-harming projects to biodiversity-friendly ones. Innovative financial instruments enable stakeholders to balance nature. This study demonstrates that FinTech, renewable energy, and responsible economic growth can help reverse biodiversity loss. We provide the policy implications of our research.
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