Browse publications by year: 2025

  1. Bernard H, Mohammad-Shom SNHB, Kulanthavelu M, Sha JCM, Malim TP, Abram NK, et al.
    Primates, 2025 Feb 20.
    PMID: 39976821 DOI: 10.1007/s10329-025-01183-7
    Long-term monitoring data on population abundance and distribution are essential for developing and refining conservation strategies, particularly for endangered species like the proboscis monkey (Nasalis larvatus), for which data remain limited across much of their range in Borneo. Previous studies conducted in 2004/2005 and 2014 in the Klias Peninsula, western Sabah, northern Borneo, provided important insights into population trends and distribution. Building on this foundation, we reassessed the proboscis monkey population in 2022 after an 8-year interval and investigated changes in land use and land cover during the same period. Our findings indicate a lower overall estimate of population abundance (number of individuals); however, the number of observed groups is comparable to previous studies, suggesting some stability. Distribution patterns have remained relatively stable, with population strongholds in the central part of the Klias Peninsula, underscoring the continued importance of areas like Padas Damit Forest Reserve for proboscis monkey conservation. Our data also reveal concerning trends, including a decline in group sizes (number of individuals per group) within breeding units and the presence of very small populations in fragmented sites such as Bongawan, presenting ongoing conservation challenges. Our land-use and land-cover change findings further revealed that less than half of the available proboscis monkey habitats in this region are fully protected. Vegetation analysis showed that tree species richness positively influences proboscis monkey abundance, emphasizing the critical role of food resource diversity. These findings have important conservation implications for the long-term survival of this endangered primate in the Klias Peninsula region.
  2. Abu Bakar N, Bulgiba A, Isahak M
    PLoS One, 2025;20(2):e0317744.
    PMID: 39977386 DOI: 10.1371/journal.pone.0317744
    The prime instrument used to measure Psychosocial Safety Climate (PSC) at the workplace is the PSC-12 scale questionnaire, which has been widely used by researchers worldwide. We set out to translate the PSC-12 scale into Malay and validate it among Malaysian healthcare workers, the first time this has ever been attempted. We carried out a cross-sectional study among 250 healthcare workers from 3 government health clinics and 15 identified clinical work units in a public hospital in the Klang Valley area, Malaysia. The English version of the PSC-12 scale was translated into the Malay language (Bahasa Malaysia) and back into English to check for content accuracy and validity. Psychometric properties of the questionnaire were assessed for internal consistency (Cronbach's alpha coefficient), temporal stability for test-retest reliability (intra-class correlation) and construct validity (confirmatory factor analysis). The translated questionnaire had a persistently high content validity-index (CV-I) of 0.916. The hypothesised four-factor-structure model displayed high goodness of fit indices (RMSEA = 0.081, SRMR = 0.032, GFI = 0.919, AGFI = 0.869, CFI = 0.961, and TLI = 0.946), demonstrating good questionnaire construct validity. Each item subscale in the PSC-12 scale showed satisfactory internal consistency with Cronbach's alpha (α) coefficient between 0.895 to 0.921. There was satisfactory temporal stability and test-retest reliability with ICC (2,1) for scores of 0.954 (total item score), 0.897 (Domain 1 score), 0.910 (Domain 2 score), 0.807 (Domain 3 score) and 0.806 (Domain 4 score) over the two-week interval. The Malay version of the PSC-12 scale is a valid and reliable instrument for use among healthcare workers in Malaysia as evidenced by its satisfactory psychometric measure and construct structure properties.
    MeSH terms: Adult; Cross-Sectional Studies; Female; Humans; Malaysia; Male; Middle Aged; Surveys and Questionnaires; Reproducibility of Results; Workplace/psychology; Young Adult
  3. Ahmad Najmee NA, Mohammed Z, Rahman MHA, Fadzil NM, Ludin AFM, Hassan R
    PLoS One, 2025;20(2):e0318871.
    PMID: 39977422 DOI: 10.1371/journal.pone.0318871
    Visually impaired schoolchildren require classrooms tailored to their visual abilities and needs, as outlined in existing literature detailing optimal modifications, recommendations, and guidelines. The study aims to review existing literature on classroom modifications for visually impaired schoolchildren, outlining recommendations for creating ideal classrooms within mainstream physical settings. After initial screening, 712 publications (698 from databases and registers, and 14 from other methods) were identified for detailed review, of which 17 were ultimately eligible for inclusion. Through a systematic review of PubMed, Scopus, and Web of Science databases, along with additional sources up to February 2024, this research analyzed articles published from 1999 to 2024. A qualitative, thematic analysis was conducted on the included articles. Criteria included peer-reviewed journals, theses, and conference papers focusing on classroom settings for visually impaired schoolchildren aged 7 to 18. Key questions addressed are: 1) What classroom settings suit the needs of visually impaired schoolchildren? 2) What recommendations are tailored to visually impaired schoolchildren to create a conducive classroom environment? Analysis of 7 journal articles and 10 other publications revealed two main themes: optimizing classroom configuration and enhancing visual comfort. Articles primarily focused on suggestions for classroom layout, particularly furnishing arrangement (41%, n = 7) and enhancing lighting conditions (41% n = 7). However, concerns were raised about standard furniture designs and the need for tailored seating arrangements to meet the visual demands of visually impaired schoolchildren. Conclusion: This review provides valuable insights into creating optimal classroom settings for visually impaired schoolchildren, ensuring equal learning opportunities in a supportive environment tailored to their needs.
    MeSH terms: Adolescent; Child; Humans; Interior Design and Furnishings; Schools*; Students
  4. Pan X, Soh KG, Jaafar WMW, Soh KL, Deng N, Cao S, et al.
    PLoS One, 2025;20(2):e0310403.
    PMID: 39977446 DOI: 10.1371/journal.pone.0310403
    Mental fatigue, or cognitive fatigue, is a multi-aspect of exhaustion resulting from prolonged engagement in mentally demanding tasks, characterized by diminished energy, mental exhaustion, and distraction, which can adversely impact various aspects of golfers' performance. However, there are still limited systematic reviews on the interaction between mental fatigue and athletes' performance in golf. This study aims to provide a comprehensive analysis of the correlation between mental fatigue and golf and demonstrate the current state of research and characterization of research in the field. The systematic review was conducted using a PRISMA flow chart, with thorough literature searches across PubMed, Web of Science, SPORTDiscus, Scopus, and China National Knowledge Infrastructure (CNKI) databases. The quality of the literature was assessed using Qualsyst. The study summarized findings from 10 articles on the interaction between mental fatigue and athletes' performance in golf. It indicates that mental fatigue is influenced by factors such as duration of play and walking distance, with prolonged golf tasks inducing mental fatigue. Mental fatigue directly affects golf performance, including the overall score for 18 holes, iron club accuracy, drive distance, and especially impacts putting performance. However, the results of these studies are limited and one-sided because studies conducted on driving ranges or in laboratories focus only on putting performance and ignore other golf skills. The study on the effects of mental fatigue on iron accuracy and driving distance was conducted under competitive conditions on an outdoor golf course, making it impossible to eliminate confounding factors. The lack of intervention studies on other specific golf skills may limit a comprehensive understanding of the impact of mental fatigue on golf performance. Trial registration Systematic Review Registration: [https://inplasy.com/][INPLASY202410111].
    MeSH terms: Humans; Athletes/psychology
  5. Husin M, Tok PSK, Suah JL, Tng BH, Thevananthan T, Peariasamy KM, et al.
    J Infect Dev Ctries, 2025 Jan 31;19(1):9-12.
    PMID: 39977462 DOI: 10.3855/jidc.18946
    INTRODUCTION: Evidence of the waning immunity of coronavirus disease 2019 (COVID-19) primary vaccination, and immune evasion by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants has led to the rollout of booster vaccination in many countries. Assessing the effectiveness of booster vaccination against severe COVID-19 outcomes is crucial during the transition to endemicity.

    METHODOLOGY: We conducted a population-based, matched case-control study in Malaysia to estimate the marginal vaccine effectiveness (mVE) of homologous and heterologous BNT162b2 and CoronaVac booster vaccination against COVID-19 related intensive care unit (ICU) admission and death in Delta-predominant and Omicron-predominant periods.

    RESULTS: Receipt of a booster vaccination - either homologous or heterologous for CoronaVac, and homologous for BNT162b2 - demonstrated mVE estimates of at least 70% against ICU admission and at least 80% against death, compared to BNT162b2 primary vaccination, in both periods. Overall, the mVE estimates were 10-20 percentage points lower in the Omicron-predominant period than in the Delta-predominant period.

    CONCLUSIONS: Our study reaffirms that the administration of booster vaccination increases protection against severe COVID-19 outcomes for BNT162b2 and CoronaVac primary vaccination recipients.

    MeSH terms: Adolescent; Adult; Aged; Female; Humans; Immunization, Secondary*; Intensive Care Units/statistics & numerical data; Malaysia; Male; Middle Aged; Vaccination; Vaccines, Inactivated; Case-Control Studies; Young Adult
  6. Asad M, Ullah W, Gajdács M, Madléna M, Shanmugham S, Veettil SK, et al.
    J Infect Dev Ctries, 2025 Jan 31;19(1):58-66.
    PMID: 39977468 DOI: 10.3855/jidc.19554
    INTRODUCTION: A prescribing cascade occurs when new medications are prescribed to address an adverse drug reaction (ADR) associated with the preceding use of a medication, which may be mistaken as the onset of a novel disease or condition. The aim of this study was to evaluate the perceptions of hospital pharmacists regarding roles in preventing and minimizing prescribing cascades.

    METHODOLOGY: A qualitative, semi-structured interview, followed by a quantitative, questionnaire-based study, was carried out at the Shifa International Hospital (SIH; Islamabad, Pakistan). Discharge summaries of patients aged ≥ 60 years were collected to assess the prevalence of polypharmacy at SIH.

    RESULTS: Discharge summaries of n = 350 patients were collected; 60.2% (n = 211) had comorbid conditions, and the co-occurrence of diabetes and hypertension were the most common. 37.8% (n = 132) were taking 8 or more medications. Eight (n = 8) hospital pharmacists participated in the qualitative study, and 4 major themes were identified in their perceptions regarding prescribing cascades. Fifty-two (n = 52) pharmacists were recruited in the quantitative phase. 86.5% (n = 45) of the participants reported long standing illness/chronic conditions; 67.3% (n = 35) noted the presence of comorbidities as a high risk, while 90.3% (n = 47) noted multiple prescribers, and 75.0% (n = 39) identified the ageing population as important risks factors for polypharmacy.

    CONCLUSIONS: The current research may inform the role and responsibilities of hospital pharmacists in outpatient and inpatient departments, and in interprofessional care teams, in preventing and minimizing prescribing cascades.

    MeSH terms: Adult; Aged; Aged, 80 and over; Attitude of Health Personnel; Female; Humans; Male; Middle Aged; Pakistan; Perception; Pharmacy Service, Hospital; Drug Prescriptions/statistics & numerical data; Surveys and Questionnaires; Polypharmacy*; Professional Role; Drug-Related Side Effects and Adverse Reactions
  7. Zhang YK, Li KY, Du Y, Wang L, Xiong Q, Zhang N, et al.
    Food Chem, 2025 Feb 15;476:143429.
    PMID: 39978003 DOI: 10.1016/j.foodchem.2025.143429
    Hot-pressed flaxseed oil is favored in Northwest China as cooking oil due to its flavor and oxidative stability. The mechanism of enhancing oxidation stability of hot-pressed flaxseed oil by neoformed Maillard reaction products (MRPs) remains mysterious. Maillard model reaction between phosphatidylethanolamine (PE) and reducing sugar of flaxseed, glucose (Glu)/fructose (Fru)/xylose (Xyl), was conducted to investigate the antioxidant characteristics of products. MRPs of PE-Xyl had a superior reactivity and anti-oxidative capabilities, which could improve the oxidative stability of flaxseed oil and inhibited the formation of aldehydes in the accelerated oxidation. Phosphatidylethanolamine-linked pyrrolecarbaldehyde (PLP) was the main antioxidant component in MRPs of Xyl-PE by MS and NMR analysis and verification of antioxidant activity. Furthermore, the results of quantum chemical calculation show that the antioxidant activity center of PLP is the pyrrole group. The findings of this study provide insights into the chemical basis underlying the improved oxidative stability of hot-pressed oils.
  8. Rapai Kasini NA, Payus AO, Khoo CS, Tan HJ, Mohamed Mukari SA, Mohd Mustapha AM, et al.
    Epilepsy Behav, 2025 Feb 19;165:110309.
    PMID: 39978077 DOI: 10.1016/j.yebeh.2025.110309
    INTRODUCTION: It can be challenging at times to clinically differentiate between acute seizure and acute stroke. This study aimed to compare the computed tomography perfusion (CTP) changes in patients presenting with acute seizures of different etiologies to those with acute cortical stroke.

    METHODS: We conducted a single-center cross-sectional case-control study on the CTP changes of 31 patients presenting with acute seizures of different etiologies, and compared them with 31 patients of acute cortical stroke patients (n = 31) as the control.

    RESULTS: 58.1% had increased time to peak (TTP) in the seizure group. None of the patients with acute stroke had reduced TTP compared to 25.8% in the seizure group. The majority of patients in the seizure group had normal to reduced relative cerebral blood flow (rCBF) (38.7% and 35.5%, respectively). 35.5% and 38.7% of the patients presenting with acute seizures had normal and reduced relative cerebral blood volume (rCBV), respectively. The association between the perfusion parameters and etiology of seizures, presence of underlying epilepsy, or presence of postictal neurological deficits was not statistically significant. The seizure group had cortical ribbon (51.6%), holo-hemispheric (32.3%), multi-lobar (9.7%), and normal (6.5%) CT perfusion patterns. In conclusion, our study shows that the majority of the patients of the acute seizure group had normal to hypoperfusion patterns. Seizure-related perfusion changes did not conform to expected vascular territories, and cortical ribbon pattern was found to be predominant in our study.

    SIGNIFICANCE: There is cerebral hypoperfusion or normal perfusion in most patients presenting with acute seizures. Seizure-related perfusion changes are not limited to arterial vascular territories.

  9. Tan GY, Bakibillah ASM, Chan PY, Tan CP, Nurzaman S
    Comput Biol Med, 2025 Feb 19;188:109814.
    PMID: 39978094 DOI: 10.1016/j.compbiomed.2025.109814
    Accurate prediction of Parkinson's disease tremor (PDT) is crucial for developing assistive technologies; however, this is challenging due to the nonlinear, stochastic, and nonstationary characteristics of PDT, which substantially vary among patients and their activities. Moreover, most models only have one-step prediction capabilities, which causes delays in real-time applications. This paper proposes a self-attention deep temporal convolutional network (SADTCN) model for the real-time prediction of hand-arm PDT signals from different activities and joint angular motions. The SADTCN can capture both short- and long-term dependencies and complex temporal and spatial dynamics of PDT signals and hence, can effectively adapt to varying tremor characteristics. The performance of the proposed model is evaluated using experimental hand-arm PDT data. The results show that the SADTCN outperforms existing deep learning (DL) models by accurately predicting varying tremor amplitudes and frequencies multi-step ahead. Moreover, we performed spectrum analysis on the measured and predicted signal using the short-time Fourier transform (STFT) as a measure of potential active tremor control and found that SADTCN can accurately determine the transience of tremor amplitude in frequency and time. Finally, we run the Wilcoxon signed-rank statistical test and the results show a statistically significant improvement in the proposed model over the other DL models in all conditions. Therefore, the SADTCN can overcome the nonstationary, nonlinear, and stochastic nature of PDT to perform multi-step prediction with high accuracy, robustness, and generalizability in unseen testing data.
  10. Wu T, Jiang N, Chen M
    Acta Psychol (Amst), 2025 Feb 19;254:104758.
    PMID: 39978228 DOI: 10.1016/j.actpsy.2025.104758
    The video streaming sector has expanded significantly over the past decades despite the competition among service providers generating difficulties in retaining subscribed customers. This study explored the subscription intention by evaluating 35 peer-reviewed journal articles from two popular databases, namely Scopus and Web of Science. Instrumental insights related to the intricate and multidimensional factors that influenced customer decisions to subscribe to or renew video streaming service subscriptions were provided to both academicians and service providers. Alternative research avenues were also discovered for future researchers. Moreover, the findings would assist video streaming service providers in improving user experiences, establishing customer loyalty, and increasing the subscription intention in the fluctuating digital entertainment industry.
  11. Kow CS, Ramachandram DS, Hasan SS, Thiruchelvam K
    Sleep Med, 2025 Feb 13;129:40-44.
    PMID: 39978242 DOI: 10.1016/j.sleep.2025.02.010
    INTRODUCTION: Obstructive sleep apnea (OSA) is a common sleep disorder that disrupts breathing during sleep. While continuous positive airway pressure therapy is the standard treatment, poor adherence has led to exploration of alternative treatments. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have been shown to reduce body weight and may help manage OSA. This systematic review and meta-analysis evaluated the efficacy and safety of GLP-1 RAs in individuals with OSA and elevated body weight who are without diabetes.

    METHODS: A systematic search was conducted in September 2024 across multiple databases. Randomized controlled trials (RCTs) evaluating GLP-1 RAs for OSA in adults with a body mass index (BMI) ≥30 kg/m2 were included. The primary outcomes were changes in the apnea-hypopnea index (AHI) and overall adverse events. Meta-analyses were performed using a random-effects model.

    RESULTS: Three RCTs were included in the analysis. Pooled results showed that GLP-1 RA treatment significantly reduced AHI compared to placebo, with a weighted mean difference (WMD) of -16.6 events per hour (95 % confidence interval [CI]: -27.9 to -5.3). However, GLP-1 RAs were associated with a higher frequency of adverse events, with an odds ratio (OR) of 1.62 (95 % CI: 1.16 to 2.24) compared to placebo.

    CONCLUSION: GLP-1 RAs effectively reduce OSA severity, offering a promising alternative for individuals with OSA and elevated body weight. However, the increased risk of side effects must be considered. Further long-term studies are needed to confirm the sustained benefits and safety of GLP-1 RAs in OSA management.

  12. Mustaffa KH, Shafie AA, Ngu LH, Mohd-Rawi R
    Value Health Reg Issues, 2025 Feb 19;46:101089.
    PMID: 39978289 DOI: 10.1016/j.vhri.2025.101089
    OBJECTIVES: Hunter syndrome is among the costliest life-long genetic conditions associated with a substantial burden-of-illness and a significant impact on the health systems, families, and society. We estimated the cost-effectiveness of long-term enzyme replacement therapy with idursulfase versus the standard of care from a societal perspective using a streamlined modeling strategy in R.

    METHODS: A de novo 4-state partitioned survival model was developed to compare lifetime cost and outcomes of 2 care models operationalized in R. The disease progression was based on independent survival modeling of relevant Kaplan-Meier data. The healthcare and out-of-pocket costs were drawn from the local setting. The quality of life was measured using the EQ5D5L and the time trade-off valuation of health-state vignettes that match the states in the model. Probabilistic and deterministic sensitivity analyses were conducted to test the uncertainty around the model results.

    RESULTS: The lifetime incremental quality-adjusted life years were 4.1 years (95% CI, 2.37-5.68). Incremental costs were estimated to be $9.5 million (95% CI, 9.0 million-10.0 million), which primarily consists of drug costs (99%). The incremental costs per quality-adjusted life year were estimated to be approximately $2.4 million (95% CI, 1.7 million-3.8 million). Sensitivity analyses showed that the key drivers of incremental cost-effectiveness ratio were quality of life in the preprogression state and differential discounting approach, besides the acquisition cost of enzyme replacement therapy of idursulfase.

    CONCLUSIONS: The incremental cost-effectiveness ratios were beyond any conventionally used cost-effectiveness threshold in all cases. At the current price, there is a significant discrepancy between the therapy's funding decision and the cost-effectiveness assessment as a basis for guiding healthcare prioritization in Malaysia.

  13. Fong FTK, Thong C, Nelson NL
    J Exp Child Psychol, 2025 Feb 19;253:106205.
    PMID: 39978308 DOI: 10.1016/j.jecp.2025.106205
    We adapted a previous protocol to assess children's ability to spontaneously associate a novel cause with a novel emotional expression. An experimenter opened a series of boxes and generated an expression based on what was inside (the cause of the emotion). Participants (4- to 9-year-olds; N = 72) guessed what the experimenter saw from four possible objects linked to four expressions: stickers (happy), a broken balloon (sad), a spider (scared), and a novel object, pax (novel puffed cheeks expression). Children were then invited to open a series of boxes and generate expressions for the experimenter. Results suggest that children used a process of elimination to associate the novel pax object with the puffed cheeks expression. Some children also re-produced the puffed cheeks expression in a later task. As a final trial, when children were asked how people would feel when seeing the pax object, younger children tended to use positive labels and older children used negative labels. These results show that children are able to quickly associate novel facial expressions with precipitating events as early as 4 years of age, comparable to their performance in linking familiar expressions and objects.
  14. Abdullah N, Ahmad N, Mohammed Nawi A, Hassan MR, Goh YX, Ismail N, et al.
    PMID: 39978325 DOI: 10.1159/000542732
    INTRODUCTION: There is an increasing prevalence of chronic kidney disease (CKD) in Malaysia, hence identifying factors associated with the early stage of CKD is crucial for preventive measures. This study investigated the association between various factors and their interaction in a multi-ethnic Malaysian cohort.

    METHODS: A nested case-control analysis was conducted on 3160 eligible participants with renal profile data from The Malaysian Cohort project. CKD status was determined by estimated glomerular filtration rate (eGFR) using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Multiple logistic regression analysis using the likelihood ratio method were used to identify the factors and their interaction with CKD.

    RESULTS: This study suggested five factors associated with CKD: gender, ethnicity, physical activity, atherogenic plasma index (AIP), and systolic blood pressure. There was an interaction between AIP and gender, with increased odds of CKD among men with high AIP.

    CONCLUSIONS: As CKD is mainly asymptomatic until it is in the later stages, these five factors serve as valuable tools for predicting CKD and enhancing the identification of at-risk individuals, particularly among men with elevated Atherogenic Index of Plasma (AIP). Future studies should focus on using these factors, especially in preventing new CKD cases and their progression.

  15. Ow JR, Imagawa E, Chen F, Cher WY, Tung Chan SY, Gurrampati RR, et al.
    J Hepatol, 2025 Feb 18.
    PMID: 39978599 DOI: 10.1016/j.jhep.2025.02.007
    BACKGROUNDS & AIMS: Citrin deficiency (CD) is an autosomal recessive urea cycle disorder caused by biallelic loss-of-function variants in the SLC25A13 gene, leading to life-threatening hyperammonemia and hypoglycemia. Variants in deep introns can cause genetic diseases by altering splicing and are often missed by current diagnostic tools. Splice-switching oligonucleotides (SSOs) can resolve certain intronic variants, but patients harboring such variants need to be identified. We present a lean workflow from molecular diagnostics to SSO development to resolve splice-altering variants in deep introns that is applicable to other genetic disorders.

    METHODS: A deep intronic gene panel was designed to identify deep intronic variants. SSOs were then developed and validated in vitro using minigene assay and induced hepatocytes, and target engagement was verified in vivo by hydrodynamic tail vein injection of minigenes and SSOs.

    RESULTS: With the Deep Intronic-Gene Panel and RNA analysis, we identified a novel SLC25A13 c.469-2922G>T variant that promotes the inclusion of a premature stop codon-containing pseudo-exon, SLC25A13-PE5, thereby causing CD. By a stepwise rational SSO design approach, we identified potent candidates inhibiting SLC25A13-PE5 at EC50 <2nM in vitro. Upon conjugating the SSOs with N-acetylgalactosamine (GalNAc), they were validated to rescue normal protein expression and restore ureagenesis and ammonia clearance, key urea cycle functions, in patient-derived induced hepatocytes. In vivo on-target efficacy of the clinical GalNAc-SSO candidate, in the absence of acute toxicity and inflammation, was observed in a mouse model with exogenous hepatic minigene expression.

    CONCLUSIONS: Our data validates a platform to redefine molecular diagnosis of urea cycle disorders and provides a proof-of-concept for precision therapy of CD patients whose only effective treatment is liver transplantation.

    IMPACT & IMPLICATIONS: Deep intronic variants are common causes of genetic diseases that are commonly neglected. In this study, we demonstrate an integrated precision diagnostic and therapeutic approach for UCD. Specifically, we focus on CD, going from the discovery of a novel splice variant in the SLC25A13 gene with our novel UCD Deep Intronic-Gene Panel, to the development and in vivo validation of an efficacious SSO candidate for the pathogenic splice variant. We envision the possibility of extrapolating this pipeline to the diagnosis and development of treatments for other rare genetic diseases.

  16. Hanis AL, Siow SL, Nurazim S, Kamaruzaman IA
    Asian J Endosc Surg, 2025;18(1):e70034.
    PMID: 39978797 DOI: 10.1111/ases.70034
    Transdiaphragmatic intercostal hernia is a rare condition that presents unique management challenges. We describe a 68-year-old morbidly obese male (BMI 40) with multiple comorbidities who underwent successful hybrid laparoscopic and open repair of a right transdiaphragmatic intercostal hernia. The hernia developed following blunt trauma 5 years earlier, which caused fractures of the right 4th-7th ribs. The patient presented with a swelling in the right flank region. CT imaging revealed a 5.9-cm diaphragmatic defect and a 10.6 × 11.9 cm intercostal defect containing small and large bowels, and omentum. Preoperative optimization included a very low-calorie diet and stabilization of diabetes, hypertension, and dyslipidemia. Surgery involved lateral decubitus positioning, customized laparoscopic port placement, an additional incision for defect closure, and laparoscopic onlay mesh placement. Recovery was uneventful, with discharge on postoperative Day 5 and no recurrence at 6 months. This case underscores the importance of meticulous preparation and hybrid techniques in managing complex hernias.
    MeSH terms: Aged; Hernia, Diaphragmatic, Traumatic/etiology; Hernia, Diaphragmatic, Traumatic/surgery; Humans; Male; Obesity, Morbid/complications; Obesity, Morbid/surgery; Laparoscopy*; Surgical Mesh
  17. Taha BA, Kadhim AC, Addie AJ, Al-Jubouri Q, Azzahrani AS, Haider AJ, et al.
    ACS Chem Neurosci, 2025 Feb 20.
    PMID: 39979233 DOI: 10.1021/acschemneuro.4c00809
    Ischemic stroke remains a leading cause of morbidity and mortality worldwide, and early diagnosis is critical for improving clinical outcomes. This paper presents an optical design framework combining speckle contrast optical spectroscopy (SCOS) with multiwavelength reflectance spectroscopy to monitor subtle changes in cerebral blood flow during ischemic events. The research aims to enable precise tissue interrogation using high-resolution, low-scatter imaging. Key to the system's accuracy is a 1.55 μm small beam waist, a grating density of 1300 grooves/mm, and a 15.53 μm depth of focus. The calculated effective focal length of 8333.33 μm enhances the resolution to 4.07 μm, improving the detection of minor changes in tissue optical properties. We investigate the sensitivity of various near-infrared wavelengths (660, 785, 800, and 976 nm) to ischemic-induced changes, with particular emphasis on the 976 nm wavelength, which demonstrates superior tissue penetration and increased sensitivity to variations in blood perfusion and tissue density during ischemia. Optical markers such as spot-size widening, spatial intensity shifts, and central intensity decrease are identified as reliable indicators of ischemia. Our findings suggest that multiwavelength reflectance analysis, particularly in the near-infrared range, provides a practical, noninvasive approach for continuously monitoring ischemic strokes. This technique indicates potential for improving early diagnosis and real-time monitoring of cerebral perfusion, which allows for continuous, noninvasive monitoring of cerebral perfusion and management of ischemic strokes, improving patient outcomes and clinical decision-making.
  18. Kesavan V T, R V, Wong WK, Ng PK
    Sci Rep, 2025 Feb 20;15(1):6254.
    PMID: 39979308 DOI: 10.1038/s41598-025-89726-2
    The fast growth of the Internet of Everything (IoE) has resulted in an exponential rise in network data, increasing the demand for distributed computing. Data collection and management with job scheduling using wireless sensor networks are considered essential requirements of the IoE environment; however, security issues over data scheduling on the online platform and energy consumption must be addressed. The Secure Edge Enabled Multi-Task Scheduling (SEE-MTS) model has been suggested to properly allocate jobs across machines while considering the availability of relevant data and copies. The proposed approach leverages edge computing to enhance the efficiency of IoE applications, addressing the growing need to manage the huge data generated by IoE devices. The system ensures user protection through dynamic updates, multi-key search generation, data encryption, and verification of search result accuracy. A MTS mechanism is employed to optimize energy usage, which allocates energy slots for various data processing tasks. Energy requirements are assessed to allocate tasks and manage queues, preventing node overloading and minimizing system disruptions. Additionally, reinforcement learning techniques are applied to reduce the overall task completion time using minimal data. Efficiency and security have been improved due to reduced energy, delay, reaction, and processing times. Results indicate that the SEE-MTS model achieves energy utilization of 4 J, a delay of 2s, a reaction time of 4s, energy efficiency at 89%, and a security level of 96%. With computation time at 6s, SEE-MTS offers improved efficiency and security, reducing energy, delay, reaction, and processing times, although real-world implementation may be limited due to the number of devices and incoming data.
  19. Xie Z, Zhang X, Liu X
    Sci Rep, 2025 Feb 20;15(1):6199.
    PMID: 39979319 DOI: 10.1038/s41598-025-85330-6
    The rapid development of Blockchain Internet of Things (IoT) has intensified the need for efficient and secure cross-chain transmission across heterogeneous systems. However, traditional cross-chain methods, such as hash time-locked contracts and relay chains, focus primarily on security and correctness while neglecting performance optimization. This limitation is particularly pronounced in high-dynamic environments like port areas, where network congestion, high latency, and uneven resource utilization are prevalent challenges. To address these gaps, this study proposes a novel load-adaptive cross-chain control method tailored for Blockchain IoT systems in port areas. The proposed method integrates multi-feature joint learning with adaptive multi-channel joint bus control, enabling dynamic resource allocation and interference suppression for enhanced transmission efficiency. Furthermore, a distributed intelligent scheduling mechanism is introduced to improve scalability and stability under high-concurrency conditions by decentralizing task coordination across blockchain nodes. Additionally, federated learning is employed to optimize cross-chain communication while preserving data privacy, ensuring secure and collaborative optimization in multi-party environments. Extensive simulations validate the effectiveness of the proposed approach, demonstrating significant improvements in throughput, latency, and packet loss rate compared to traditional centralized methods. The results highlight the method's ability to balance dynamic network loads, minimize interference, and adapt to real-time conditions. This work bridges the gap between performance-oriented optimizations and privacy-preserving mechanisms, offering a scalable and secure solution for Blockchain IoT systems in complex and dynamic environments.
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