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  1. Nur AM, Aljunid SM, Tolma EL, Annaka M, Alwotayan R, Elbasmi A, et al.
    Sci Rep, 2025 Mar 01;15(1):7354.
    PMID: 40025065 DOI: 10.1038/s41598-025-91119-4
    Colorectal cancer (CRC) poses a significant health challenge in Kuwait, ranking as the second most common cancer with the incidence rate 13.2 cases per 100,000 people in year 2019. This study aims to determine the cost-effectiveness of three colorectal cancer (CRC) screening methods in Kuwait from the perspective of Kuwait's healthcare providers. Using a Decision Tree Analysis Model, the study compared three screening modalities: Fecal Occult Blood Test (FOBT) followed by colonoscopy or sigmoidoscopy, colonoscopy alone, sigmoidoscopy alone and alongside no screening. Over a 10-year period post-diagnosis, the model tracked costs and outcomes based on CRC patients' life expectancy, expressing results using Incremental Cost Effectiveness Ratios (ICERs). Colorectal cancer screening using FOBT followed by colonoscopy or sigmoidoscopy resulted in 7.7 quality-adjusted life years (QALYs) at a cost of USD 3,573. In contrast, no screening achieved 7.2 QALYs but was more expensive, costing USD 4,084. Screening with only sigmoidoscopy or only colonoscopy provided 6.8 QALYs each, at costs of USD 4,905 and USD 5,002, respectively. Sensitivity analyses explored uncertainties in cost and outcome estimates. FOBT followed by colonoscopy or sigmoidoscopy can be considered as an efficient and effective approach towards early detection of CRC. This approach can be used by healthcare policymakers in Kuwait, in the development of population-based CRC screening programs to optimize resource allocation and improve public health outcomes.
  2. Islam SZ, Kamarudin MSB, Abdullah MNB, Mohaffyza M, Sern LC, Othman ML, et al.
    PLoS One, 2025;20(3):e0316911.
    PMID: 40117270 DOI: 10.1371/journal.pone.0316911
    The project aims to develop a sustainable smart irrigation system (SIS) for the indoor plant irrigation by integrating photovoltaic (PV), internet of things (IoT), and rainwater harvesting techniques. The addressed problem involves the inconsistency and tediousness of manual watering, emphasizing the need for a sustainable design for a SIS. The IoT system consists of soil moisture sensor with GSM module powered by PV and an algorithm was developed to adjust irrigation schedules based on soil moisture data. The objectives of this project are to design and optimize the PV-powered irrigation system and implement an Arduino-enabled automatic system with SMS-triggered functionality. The methodology involves system modelling for water requirements and sizing of PV, battery, pump, and MPPT based on the load demand. The rainwater harvesting structure designed ensures water sustainability for plants' irrigation. The system is then implemented using moisture and ultrasonic sensors managed by Arduino Uno embedded system. The electrical performance of the PV was analyzed on both cloudy and moderately luminous days, with irradiance ranging from 250.4 to 667.8 and 285.5 to 928 W/m2, respectively. The average output voltage and current of the battery were observed to be 13.04 V and 0.37 A (cloudy), and 13.45 V and 0.47 A (moderate) days, respectively. The rainwater collection test revealed more than 36 L in the tank after one week, indicating it could sustain watering the three plants for 72 days. Based on the analysis, the project can save 14.97 kgCO2 emissions per year compared to the current emissions released into the environment. The overall cost of the system is approximately RM670 (US$139.50). The SIS aligns with SDG 7, promoting affordable and integrates with 12th Malaysia Plan for more efficient and environmentally friendly agricultural and water management practices.
  3. Ng KH, Hamza M, Lai SY, Imanuella N, Tan LS, Liu CL, et al.
    Environ Res, 2025 Mar 19;275:121402.
    PMID: 40118320 DOI: 10.1016/j.envres.2025.121402
    MoS2 is frequently reported as an effective photocatalytic promoter; however, its explicit roles in improving photo-activity are rarely discussed. In this regard, current study aims to unravel the promotional roles of MoS2, specifically to ZnCdS in degrading tetracycline (TC) under visible light irradiation. ZnCdS/MoS2 derived from photo-deposition approach manifested a large interface with ZnCdS-encapsulating-MoS2 architecture. Alongside MoS2-deposition, the photocatalytically-inert oxide phases of ZnCdS were concurrently eliminated, enabling better photo-responsiveness to visible light. This comes with the closure of energy gap of ZnCdS (evidenced experimentally and theoretically); however, did not weaken its reductive capability due to its unaltered conduction band position. On the other hand, though the valence band of ZnCdS would slightly elevate with MoS2-embedment, its oxidative power is still adequate for direct oxidation of TC. This, therefore, explains TC removal which predominantly assisted by photo-holes and •OH radical (produced from O2-reductive pathway). Electronically-speaking, MoS2 embedment helps in lowering the impedance of ZnCdS, facilitating charges separation while lengthening their lifetimes in photoreaction. Meanwhile, MoS2-modification could also improve TC adsorption onto ZnCdS; this helps in improving utilization of photo-charges while facilitate TC degradation. These benefitting attributes of MoS2, therefore, permitted 458% activity improvements to ZnCdS, realizing 40.93 × 10-5 ppm min-1 TC removal under visible light.
  4. Ur Rahman J, Hanif M, Ur Rehman O, Haider U, Mian Qaisar S, Pławiak P
    Sci Rep, 2025 Mar 18;15(1):9238.
    PMID: 40102464 DOI: 10.1038/s41598-025-93560-x
    Detection of Alzheimer's Disease (AD) is critical for successful diagnosis and treatment, involving the common practice of screening for Mild Cognitive Impairment (MCI). However, the progressive nature of AD makes it challenging to identify its causal factors. Modern diagnostic workflows for AD use cognitive tests, neurological examinations, and biomarker-based methods, e.g., cerebrospinal fluid (CSF) analysis and positron emission tomography (PET) imaging. While these methods are effective, non-invasive imaging techniques like Magnetic Resonance Imaging (MRI) are gaining importance. Deep Learning (DL) approaches for evaluating alterations in brain structure have focused on combining MRI and Convolutional Neural Networks (CNNs) within the spatial architecture of DL. This combination has garnered significant research interest due to its remarkable effectiveness in automating feature extraction across various multilayer perceptron models. Despite this, MRI's noisy and multidimensional nature requires an intelligent preprocessing pipeline for effective disease prediction. Our study aims to detect different stages of AD from the multidimensional neuroimaging data obtained through MRI scans using 2D and 3D CNN architectures. The proposed preprocessing pipeline comprises skull stripping, spatial normalization, and smoothing. It is followed by a novel and efficient pixel count-based frame selection and cropping approach, which renders a notable dimension reduction. Furthermore, the learnable resizer method is applied to enhance the image quality while resizing the data. Finally, the proposed shallow 2D and 3D CNN architectures extract spatio-temporal attributes from the segmented MRI data. Furthermore, we merged both the CNNs for further comparative analysis. Notably, 2D CNN achieved a maximum accuracy of 93%, while 3D CNN reported the highest accuracy of 96.5%.
  5. Che Awang CMA, Abdul Wahab NA, Mohammad Tahir SA, Maamor N, Zakaria MN, Wahab S
    Sci Rep, 2025 Mar 20;15(1):9662.
    PMID: 40113860 DOI: 10.1038/s41598-025-94412-4
    Auditory hallucination is a complex and not yet fully understood phenomenon, and further research is necessary to elucidate the underlying mechanisms. Previous research has shown the possible contribution of abnormal efferent auditory pathways to auditory hallucinations. Given the structural and functional top-down connection between the auditory cortex and the cochlea, this study investigated the efferent auditory system in schizophrenia patients experiencing verbal auditory hallucinations (VAHs). Alternate Auditory Attention (ALAUDIN©) tasks were integrated with Contralateral Suppression of Otoacoustic Emissions (CSOAE) tasks as an assessment method. A total of 57 healthy controls (HCs) and 10 schizophrenia patients-five with recent hallucinations (SRH group) and five with nonrecent hallucinations (SNRH group) participated. Contralateral suppressors, which included white noise (WN) alone and WN in combination with ALAUDIN© tasks, were integrated with an otoacoustic emission (OAE) system to measure the suppression of cochlear outer hair cells. While no significant differences in suppression were found between the left and right ears across all groups, the SRH group demonstrated significantly greater suppression than did the HC group for contralateral suppressor 4 (CS4). Notably, incorporating the ALAUDIN© tasks could be used to measure abnormalities in the efferent auditory pathway in patients with schizophrenia with VAHs. These results suggest that the ALAUDIN©-CSOAE test could be used to examine efferent auditory pathways and differentiate schizophrenia patients with recent VAHs from healthy individuals, but further research with larger sample sizes is warranted to validate these findings.
  6. Mahawar K, Rattan P, Jalamneh A, Ab Yajid MS, Abdeljaber O, Kumar R, et al.
    Sci Rep, 2025 Mar 24;15(1):10172.
    PMID: 40128279 DOI: 10.1038/s41598-025-94642-6
    Higher education is essential because it exposes students to a variety of areas. The academic performance of IT students is crucial and might fail if it isn't documented to identify the features influencing them, as well as their strengths and shortcomings. The student academic prediction system needs to be enhanced so that teachers can forecast their students' performance. Numerous studies have been conducted to increase the prediction accuracy of IT students, but they encountered difficulties with unbalanced data and algorithm tuning. To address these issues, the study proposed different machine learning (ML) algorithms that handled imbalanced data by applying the synthetic minority oversampling technique (SMOTE) and employing hyperparameter tuning algorithms to enhance prediction during the training process. The ML models we used were decision tree (DT), k-nearest neighbor, and XGBoost. The models were fine-tuned by applying Ant colony optimization (ACO) and artificial bee colony optimization techniques. Subsequently, these optimization techniques further enhanced the performance of the models. After comparing them, the results showed that SMOTE and ACO combined with the DT model outperformed other models for academic prediction. Additionally, the study utilized the Kendall Tau correlation coefficient technique to analyze the correlation between features and identify factors that positively or negatively impact student success.
  7. Butt MD, Ong SC, Rafiq A, Batool N, Saifi R, Yaseen S, et al.
    J Pharm Policy Pract, 2024;17(1):2432462.
    PMID: 39640418 DOI: 10.1080/20523211.2024.2432462
    BACKGROUND: Liraglutide, a glucagon-like peptide-1 (GLP-1) receptor agonist, has demonstrated efficacy in improving glycemic control and promoting weight loss in clinical trials. However, real-world data from diverse populations, particularly from South Asia, are limited. The study aims to evaluate the long-term efficacy and safety of liraglutide in a real-world setting among Pakistani patients with type 2 diabetes mellitus (T2DM).

    METHODOLOGY: A retrospective cohort study of 624 patients initiated on liraglutide was conducted. Data were collected at baseline and 6, 12, 18, and 24 months. Primary outcomes were HbA1c and weight changes. Secondary outcomes included fasting plasma glucose, lipid profile, and blood pressure. Statistical analyses were performed using appropriate methods.

    RESULTS: In study population the mean HbA1c reduction of -1.45 ± 0.67% was observed at 24 months, with 30.6% achieving HbA1c ≤ 7.5%. A rapid and sustained weight loss of -7.51 kg was achieved, with 27.2% experiencing ≥5% weight loss. Additionally, liraglutide led to a significant reduction in LDL cholesterol, with 46.7% of patients achieving a ≥ 10% reduction at 24 months. Liraglutide was well-tolerated, with a low discontinuation rate of 4.6%.

    CONCLUSION: Liraglutide demonstrated sustained efficacy and safety in a diverse Pakistani population with T2DM, regardless of baseline characteristics. These findings support the use of liraglutide as an effective treatment option for T2DM in real-world clinical practice.

  8. Zhou Z, Ma Y, Zhang J, Firdaus M, Roleda MY, Duan D
    Sci Data, 2025 Feb 12;12(1):249.
    PMID: 39939323 DOI: 10.1038/s41597-025-04583-y
    Kappaphycus striatus is one of the carrageenan-producing red algae, and found primarily in tropical and subtropical coastal regions. Its global distribution is mainly in the Philippines, Indonesia, and Malaysia, among other locations. Here, through the high-quality chromosome-level genome sequences and assembly with PacBio HiFi and Hi-C sequencing data, we assembled one genome with a total of 211.46 Mb in size, containing a contig N50 length of 5.04 Mb and a scaffold N50 length of 5.39 Mb. After Hi-C assembly and manual adjustment to the heatmap, we deduced that 199.42 Mb of genomic sequences were anchored to 33 presumed chromosomes, which accounting for 94.31% of the entire genome. One total of 14,596 protein-coding genes and 1,673 non-coding RNAs were identified, and the 100.96 Mb of repetitive sequences accounting for 47.73% of the assembled genome. Our chromosome-level genome assembly data provide valuable references for K. striatus future nursery and breeding, and will be useful for the functional genomics interpretations and evolutionary studies of eukaryotes.
  9. Ilhami S, Rahman SNSA, Iqhrammullah M, Hamid Z, Chai YH, Lam MK
    Biotechnol Adv, 2025;79:108529.
    PMID: 39922510 DOI: 10.1016/j.biotechadv.2025.108529
    Microalgae have emerged as a promising and sustainable source for polyhydroxyalkanoates (PHA), which are increasingly recognized for their potential in bioplastics production. However, the widespread application of microalgae-derived PHA faces challenges related to economic feasibility and scalability. This review provides a comprehensive analysis of recent advancements in the cultivation and optimization of microalgae for PHA production, highlighting the critical role of nutrient limitation, particularly nitrogen and phosphorus, in enhancing PHA accumulation. This review also explores the effectiveness of various cultivation systems, including autotrophic, heterotrophic, and mixotrophic approaches, in maximizing PHA yields. Environmental factors such as light intensity, salinity, and pH are examined for their influence on PHA synthesis pathways. Additionally, it identifies key technical and economic challenges that must be addressed to commercialize microalgae-based bioplastics to fully harness the potential of microalgae in sustainable bioplastic production.
  10. Jouhar R, Halim MS, Ahmed MA, Shah F, Quadri SA
    Pak J Med Sci, 2025 Feb;41(2):519-524.
    PMID: 39926673 DOI: 10.12669/pjms.41.2.11001
    BACKGROUND & OBJECTIVE: Root canal infections are challenging to eradicate with conventional methods due to their complexity. Traditional chemical irrigants often fail to reach all bacterial colonies. Methylene blue (MB), used in photoactivated disinfection (PAD), generates reactive oxygen species (ROS) upon light activation, effectively killing bacteria. This study aimed to synthesize, characterize, and explore MB-functionalized reduced graphene oxide (MB/rGO) for enhanced photoactivated disinfection in root canal treatment.

    METHODS: This in-vitro study was conducted from April 2024 to September 2024 at Universiti Sains Malaysia and King Faisal University. Graphene oxide (GO) was reduced by dispersing GO in deionized water with sonication, followed by adding sodium hydroxide (NaOH) under vigorous stirring. The suspension obtained was centrifuged, washed, and dried to yield reduced graphene oxide (rGO). For functionalization, rGO was dispersed in ethanol and mixed with methylene blue (MB) solution, followed by stirring and drying to obtain MB-functionalized rGO. The antibacterial and antifungal activities of MB alone and in combination with rGO, with or without laser exposure, were tested using the agar well diffusion method. The paired sample t-test was used to compare the inhibition zones for different treatment groups of E. faecalis and C. albicans.

    RESULTS: FTIR analysis confirmed successful functionalization by identifying specific functional groups of rGO and MB. Similarly, Raman spectroscopy indicated that GO-MB had an intermediate level of defects, and SEM analysis confirmed slight morphological changes with MB molecules attached to the rGO surface. Moreover, the antimicrobial test revealed that MB/rGO with laser performed significantly better (p=0.042) than MB/rGO without laser and MB with laser group (p=0.034) against E. faecalis.

    CONCLUSIONS: The functionalization of MB with rGO and its application with laser treatment significantly enhanced antimicrobial and antifungal activity, suggesting potential benefits for endodontic treatments and other dental applications.

  11. Suleiman J, Shamsudin R, Hamzah MH, Basri MSM, Jimoh KA
    Food Chem, 2025 May 15;474:143123.
    PMID: 39929045 DOI: 10.1016/j.foodchem.2025.143123
    The subcritical water extraction (SWE) of pectin from durian rind was optimized using response surface methodology with Box-Behnken experimental design. The FTIR, SEM, and DSC analysis were used to examine the physicochemical, structural, thermal, and functional characteristics of the subcritical water-extracted pectin (SWEP) under optimum conditions and contrasted with the conventional acid-extracted pectin (CAEP). The optimum yield of pectin (5.43 %) was achieved under the temperature of 120 °C, time of 18.5 min, and sieve size of 100 μm. The comparative analysis reveals that the yield of SWEP was ∼2.07 % higher than the CAEP yield (3.36 %). Similarly, the equivalent weight, esterification degree, methoxy concentration, anhydrouronic acid content, water holding capacity, and oil holding capacity of SWEP were consistently higher than the CAEP. Therefore, SWE proved effective for obtaining high-quality pectin from durian rind and offers a simplified, cost-effective, and eco-friendly approach, which makes it a viable method for industrial application.
  12. Harun MHH, Ramli R, Mohd Ali NA, Abd Kadir NJ
    BMJ Case Rep, 2025 Feb 11;18(2).
    PMID: 39933843 DOI: 10.1136/bcr-2024-263686
    Placenta accreta spectrum (PAS) disorder is a potentially life-threatening condition which rarely complicates second trimester miscarriages. This report describes a woman who was pregnant at 17 weeks with a history of previous caesarean section and uterine curettage. She presented with hypovolaemic shock following massive per-vaginal bleeding at home. A 180 g fetus was spontaneously aborted, but the placenta was retained in the uterus. After resuscitation, she underwent surgery, during which a morbidly adherent placenta was identified necessitating an emergency hysterectomy. Histopathological examination confirmed placenta accreta. This case highlights the risk of PAS complicating second trimester pregnancies and underscores the importance of early recognition and intervention to enhance maternal outcomes.
  13. Hasan IH, Ismail I, Hamidon MN, Mustaffa MS, Abdullah NH, Shafiee FN
    Heliyon, 2024 Nov 30;10(22):e39966.
    PMID: 39584123 DOI: 10.1016/j.heliyon.2024.e39966
    Carbon nanotube-Yttrium iron garnet (CNT-YIG) nanohybrid has been successfully synthesized using chemical vapor deposition (CVD) with yttrium iron garnet (YIG) nanopowders as catalyst, ethanol as carbon stock, and argon as carrier gas. Carbon nanotube (CNT) was observed to have grown from the YIG nanopowders with bamboo-like structures of CNT at a synthesis temperature of 900 °C. FESEM and RAMAN characterization indicated that the CNT-YIG nanohybrid exhibited the growth of bamboo-like CNT with high graphitization. Further analysis of electrical properties showed that the CNT-YIG nanohybrid has exhibited conductivity due to the CNT growth. The nanohybrid in the form of powders was then mixed with an organic vehicle to produce thick film paste and screen-printed onto a substrate as the working material for patch antenna application. Initial measurements using VNA indicated that CNT-YIG nanohybrid gave significant results regarding return loss and bandwidth, proving that the materials could have great potential to enhance patch antenna performance due to their combined electrical and magnetic properties.
  14. Ali M, Shams MA, Bheel N, Almaliki AH, Mahmoud AS, Dodo YA, et al.
    RSC Adv, 2024 Nov 19;14(50):37252-37271.
    PMID: 39575378 DOI: 10.1039/d4ra05506c
    Reinforced concrete (RC) constructions are seriously threatened by chloride-induced corrosion (CIC) and carbonation, which can result in structural degradation, safety issues, and financial losses. Electrochemical methods and microstructural analysis tests are some of the laboratory techniques used to examine key elements of CIC, such as the impact of different variables and the efficacy of mitigation solutions. In situ studies that make use of non-destructive testing, chloride profiling, and half-cell potential measurements offer important new insights into the long-term performance and causes of RC structure deterioration in real-world circumstances. Non-destructive approaches for CIC detection are emerging these days and provide fruitful results. Studies have focused on the use of these approaches for CIC detection on small specimens in the lab as well as on full-scale experiments in the field. This review covers both in situ monitoring and laboratory studies to provide a thorough analysis of CIC.
  15. Khan I, Bilal M, Khaliq W, Khan N, Khahro SH, Memon ZA, et al.
    Sci Rep, 2024 Nov 27;14(1):29480.
    PMID: 39604467 DOI: 10.1038/s41598-024-79869-z
    Bitumen exhibits viscoelastic properties, showcasing both viscous and elastic behaviors, which are characterized by the phase angle and dynamic modulus. Issues like early fatigue fractures, rutting, and permanent deformations in bituminous asphalt pavements arise due to moisture susceptibility, high-temperature deformation, low-temperature cracking, and overloading. These distresses result in potholes, alligator cracks, and specific deformations that lead to early pavement failure, increasing rehabilitation and maintenance costs. To address these issues, this study examines the dynamic modulus and phase angle behavior of Styrene Butadiene Styrene (SBS) modified and unmodified asphalt mixtures. SBS was incorporated in various proportions, ranging from 2 to 7% by the weight of bitumen. The asphalt mixture performance tester (AMPT) was utilized to measure the dynamic modulus at temperatures of 4.4, 21.1, 37.8, and 54.4 °C, and frequencies of 0.1, 0.5, 1, 5, 10, and 25 Hz. The study found significant correlations between dynamic modulus, temperature, loading frequency, and SBS content. Additionally, Multi Expression Programming (MEPX) and regression modeling were employed to estimate the dynamic modulus of SBS-modified HMA. Results indicated that increasing SBS content up to 7% decreased penetration and ductility values by up to 46% and 56%, respectively, while raising the softening point by 63% due to increased stiffness. The blend with 6% SBS by weight of bitumen exhibited superior performance compared to other mixtures. Phase angle initially increased with rising temperature, peaking at 37.8 °C at lower frequencies, and continued to increase at higher frequencies. Isothermal and isochronal plots showed that the 0% SBS mix had a higher phase angle due to increased bitumen content. Overall, the HMA mix with 6% SBS provided the best outcomes.
  16. Noor KAM, Norsuddin NM, Karim MKA, Isa INC, Ulaganathan V
    Diagnostics (Basel), 2024 Nov 15;14(22).
    PMID: 39594234 DOI: 10.3390/diagnostics14222568
    BACKGROUND/OBJECTIVE: This study evaluates the mean glandular dose (MGD) in mammography screening for women aged 40-69 in Dubai, based on a retrospective analysis of a dose survey involving 2599 participants.

    METHODS: MGD was calculated using the Dance formula.

    RESULTS: The average MGD was 0.96 ± 0.39 mGy for mediolateral oblique (MLO) views and 0.81 ± 0.33 mGy for craniocaudal (CC) views. Weak inverse correlations were found between age and organ dose (OD) for both views, while a direct relationship was observed between breast thickness and entrance skin dose (ESD). In adjusted models, ESD was strongly associated with MGD (β = 1.04, 95% CI: 0.97, 1.09), while OD showed a moderate association (β = 0.44, 95% CI: 0.40, 0.49). Significant variations in ESD, OD, and MGD were noted across age groups and breast thicknesses.

    CONCLUSIONS: Lower MGD indicates reduced radiation exposure risk, while higher MGD in MLO views suggests improved imaging quality. Monitoring and optimizing MGD are essential for enhancing patient safety and screening efficacy.

  17. Qaiser Z, Khalid N, Mahmood A, Rizvi ZF, Lee SY, Aqeel M
    J Hazard Mater, 2024 Dec 05;480:136262.
    PMID: 39471612 DOI: 10.1016/j.jhazmat.2024.136262
    Microplastic (MP) pollution is a growing concern, yet its impacts on agroecosystems remain poorly understood. This study investigates MP contamination in the agroecosystems of Sialkot, Pakistan, and its potential effects on the growth, physio-biochemical attributes, and yield of potato (Solanum tuberosum L.). Plant and soil samples from 10 diverse agricultural fields were collected and analyzed for MP contamination. FTIR analysis revealed widespread MP presence in the soil across all sites. Fragment, film, and fiber types dominated, with low-density polyethylene (22.42 %), high-density polyethylene (18.05 %), and polystyrene (12.3 %) being the most prevalent polymers. A significant variation in plant growth parameters was observed. The number of tubers per plant also exhibited a significant difference, as evidenced by the decline in potato yield with increasing levels of MP contamination. Potato yield showed a negative correlation with MP contamination levels. The nutrients (Zn, Cu, Ni, and Na) uptake in plant shoots was also observed to be decreased except for Mg and Mn at all sites. This study showed that MPs are contaminating our agricultural lands and they may affect growth and yield of potato. Additional research is needed to understand the underlying mechanisms and develop mitigation strategies to improve agricultural productivity and food security.
  18. Mansor J, Safian N, Abdul Razak F, Ismail H, Ghazali MH, Ismail N
    PeerJ, 2024;12:e18571.
    PMID: 39619183 DOI: 10.7717/peerj.18571
    BACKGROUND: Social interactions within and between communities influenced the spread of COVID-19. By using social network analysis (SNA), we aimed to understand the effect of social interaction on the spread of disease in a rural district.

    METHOD: A retrospective record review study using positive COVID-19 cases and contact-tracing data from an area in Malaysia was performed and analysed using the SNA method through R software and visualised by Gephi software. The justification for utilizing SNA is its capability to pinpoint the individuals with the highest impact and accountability for the transmission of COVID-19 within the area, as determined through SNA.

    RESULT: Analysis revealed 76 (4.5%) people tested positive for COVID-19 from 1,683 people, with 51 (67.1%) of the positive ones being male. Outdegrees for 38 positive people were between 1 and 12, while 41 people had 1-13 indegree. Older males have a higher outdegree, while younger females have a higher outdegree than other age groups among same-sex groups. Betweenness was between 0.09 and 34.5 for 15 people. We identified 15 people as super-spreaders from the 42 communities detected.

    CONCLUSION: Women play a major role in bridging COVID-19 transmission, while older men may transmit COVID-19 through direct connections. Thus, health education on face mask usage and hand hygiene is important for both groups. Working women should be given priority for the work-from-home policy compared to others. A large gathering should not be allowed to operate, or if needed, with strict adherence to specific standard operating procedures, as it contributes to the spread of COVID-19 in the district. The SNA allows the identification of key personnel within the network. Therefore, SNA can help healthcare authorities recognise evolving clusters and identify potential super-spreaders; hence, precise and timely action can be taken to prevent further spread of the disease.

  19. Lin L, Liu S, Wang W, He XK, Romli MH, Rajen Durai R
    BMC Neurol, 2025 Feb 06;25(1):52.
    PMID: 39915720 DOI: 10.1186/s12883-025-04059-x
    BACKGROUND: Cerebral venous sinus thrombosis is a rare stroke with several clinical manifestations. Several studies have identified prognostic risk factors associated with poor functional outcomes and established predictive models. This systematic review and meta-analysis assessed the overall effect size of all prognostic risk factors.

    METHODS: A systematic review was conducted to explore all prognostic risk factors in studies published from the initial to June 2024 among 5 Databases included PubMed / Medline, Scopus, EBSCOhost, Web of Science, and Cochran Library. The quality of the methodology was analyzed using the Newcastle-Ottawa Scale. Data analysis was performed using the Statistical Package for Social Sciences (SPSS) version 29.

    RESULTS: Sixty-four studies involving 18,958 participants with a mean age of 38.46 years and females 63.03% were included in the quantitative meta-analysis. Functional outcomes were primarily measured using the Modified Rankin Scale (mRS), with scores ≥ 2 or ≥ 3 indicating poor outcomes in 35.00% and 60.00% of studies, respectively. For general information, age (InOR = 0.98, 95% CI 0.53-1.43), intracranial hemorrhage (OR = 3.79, 95% CI 2.77-5.20), and ischemic infarction (OR = 3.18, 95% CI 2.40-4.23) were associated with poor functional outcomes. For general and neurological symptoms, headache (OR = 0.22, 95% CI 0.17-0.29), seizure (OR = 2.74, 95% CI 1.76-4.27), focal deficit (OR = 4.72, 95% CI 3.86-5.78), coma (OR = 11.60, 95% CI 6.12-21.98), and consciousness alteration (OR = 7.07, 95% CI 4.15-12.04) were outstanding factors. The blood biomarkers of NLR (log OR = 1.72, 95% CI 0.96-2.47), lymphocytes (Cohen's d = -0.63, 95 CI -0.78--0.47), and D-dimer (lnOR = 1.34, 95% CI 0.87-1.80) were the three most frequently reported factors. Parenchymal lesion (OR = 4.71, 95% CI 1.12-19.84) and deep cerebral venous thrombosis (OR = 6.30, 95% CI 2.92-13.63) in radiological images were two frequently reported factors. CVST patients with cancer (OR = 3.87, 95% CI 2.95-5.07) or high blood glucose levels (OR = 3.52, 95% CI 1.61-7.68) were associated with poor functional outcomes. In the meta-regression analysis, ischemic infarction (P = 0.032), consciousness alteration (P 

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