Nevin Manimala

Sci Rep. 2025 Aug 13;15(1):29620. doi: 10.1038/s41598-025-15094-6.

ABSTRACT

Dam failures pose catastrophic risks to human life and property, necessitating robust safety monitoring systems for risk mitigation. However, the specific contributions of distinct monitoring modalities to dam safety remain inadequately characterized, particularly regarding their differential impacts on structural integrity assessment. This study investigates the correlation between diverse monitoring modalities and dam structural safety through a comprehensive analysis of the Silin Hydropower Station dam. We analyzed 324 datasets collected from nine types of monitoring sensors installed across 36 dam cross-sections. Statistical analyses including one-way ANOVA, cluster analysis, and principal component analysis (PCA) were employed to quantify the influence patterns of monitoring parameters. The safety impact levels of all 36 cross-sections were systematically ranked, establishing a prioritized reference framework to inform decision-making in dam safety management. Unlike conventional dam safety assessments that predominantly rely on subjective empirical judgments, this study introduces an objective methodology integrating principal component analysis (PCA) of heterogeneous monitoring data across multiple dam cross-sections. The analytical outcomes were systematically quantified, hierarchically ranked, and visualized through multidimensional mapping techniques. The results demonstrated that variations in fissure (X2), horizontal displacement (X3), tilt (X4), stress (X6), soil-displacement (X8), and denotes water-level (X9) exerted highly significant effects on dam safety (p < 0.001). The first two principal components cumulatively accounted for 74.1876% of the total variance, with eigenvalues reaching 6.6769. In the comprehensive evaluation, cross-section T4 (T4) obtained the maximum score (0.8500), while cross-section T35 (T35) showed the minimum score (0.0175). In conclusion, the analysis revealed that X9, X8, X2, X3, and X4 exerted significant impacts on dam safety, while cross-section T4 achieved the highest comprehensive evaluation score. This approach employs Principal Component Analysis (PCA) with integrated scoring to reduce multivariate dimensionality, enabling rapid identification of key monitoring sections critical to dam safety, and demonstrates broad applicability for dam safety monitoring.

PMID:40796943 | DOI:10.1038/s41598-025-15094-6

Commun Med (Lond). 2025 Aug 12;5(1):349. doi: 10.1038/s43856-025-01086-0.

ABSTRACT

BACKGROUND: Monitoring the number of COVID-19 patients in hospital beds was a critical component of Australia’s real-time surveillance strategy for the disease. From 2021 to 2023, we produced short-term forecasts of bed occupancy to support public health decision-making.

METHODS: We present a model for forecasting the number of ward and intensive care unit (ICU) beds occupied by COVID-19 cases. The model simulates the stochastic progression of COVID-19 patients through the hospital system and is fit to reported occupancy counts using an approximate Bayesian method. We do not directly model infection dynamics-instead, taking independently produced forecasts of case incidence as an input-enabling the independent development of our model from that of the underlying case forecast(s).

RESULTS: Here, we evaluate the performance of 21-day forecasts of ward and ICU occupancy across Australia’s eight states and territories produced across the period March and September 2022. We find forecasts are on average biased downwards immediately prior to epidemic peaks and biased upwards post-peak. Forecast performance is best in jurisdictions with the largest population sizes.

CONCLUSIONS: Our forecasts of COVID-19 hospital burden were reported weekly to national decision-making committees to support Australia’s public health response. Our modular approach for forecasting clinical burden is found to enable both the independent development of our model from that of the underlying case forecast(s) and the performance benefits of an ensemble case forecast to be leveraged by our occupancy forecasts.

PMID:40796938 | DOI:10.1038/s43856-025-01086-0

Sci Rep. 2025 Aug 12;15(1):29600. doi: 10.1038/s41598-025-13924-1.

ABSTRACT

PURPOSE: The purpose of this study was to compare the modulation effects of Microcurrent Therapy (MT) and Low-Level Laser Therapy (LLLT) on Matrix Metalloproteinases (MMPs) and tissue inhibitors of Metalloproteinases (TIMPs) expressions during healing of surgical wounds using appendectomy wound as a model.

METHODS: Ninety patients who recently underwent appendectomy were randomly divided into 3 main groups of equal numbers. All cases in the three groups received ordinary medical therapy. Moreover, group A (MT group) received Microcurrent Therapy for 20 min. In addition to a designed physical therapy treatment protocol for 20 min. Group B (LLLT group) received Low-Level Laser Therapy for 20 min., plus the same designed physical therapy treatment protocol for 20 min. Group C (placebo group) received placebo shame LLLT for 20 min. plus the same designed physical therapy treatment protocol for 20 min. Enzyme-linked immunosorbent assay (ELISA) and Western Blot Technique (WBT) were used to determine expression levels of MMP-8, MMP-9, and TIMP-1 at the beginning of treatment and after the end of twelve successive sessions.

RESULTS: Following therapies, results showed a statistically significant decrease in the MMP-8 and MMP-9 expressions with significantly increased expression levels of TIMP-1 in each group separately (P < 0.05). These changes in the expression levels towards proper healing of surgical wounds were more obvious in MT and LLLT groups compared to the placebo group, with significantly better effect in the LLLT group compared to the MT group .

CONCLUSION: Microcurrent therapy and low-level laser therapy have a notable impact in improving wound healing process as they can significantly affect the expression levels of matrix metalloproteinases and tissue inhibitors of metalloproteinases towards good prognosis of healing process and decreasing possible wound healing complication, with superior effect of low-level laser therapy.

PMID:40796926 | DOI:10.1038/s41598-025-13924-1

Sci Rep. 2025 Aug 12;15(1):29588. doi: 10.1038/s41598-025-09668-7.

ABSTRACT

This study investigates the integration of electromagnetic (EM) radiation with quantum factorial networks to enhance Wi-Fi hotspot performance through a comprehensive experimental framework.A novel quantum factorial network architecture was developed, leveraging quantum superposition and entanglement principles to optimize wireless communication systems. The experimental methodology employed MATLAB/Simulink simulations with 100 network nodes operating at 2.4 GHz frequency, incorporating quantum enhancement coefficients and modified Maxwell equations for EM field propagation. Statistical analysis using ANOVA (F(2,297) = 156.7, p < 0.001, η² = 0.51) demonstrated significant performance improvements: throughput increased from 1.2 Gbps to 3.0 Gbps (150% enhancement), latency reduced from 25 to 5 ms (80% improvement), and coverage expanded from 30 to 45 m (50% increase). Cross-validation between theoretical models and simulation results achieved correlation coefficients exceeding 0.98 across all performance metrics. The quantum enhancement factor ξq = 2.5 was validated through quantum state tomography with 95% confidence intervals. Real-world applicability was demonstrated across smart city infrastructure, industrial IoT environments, and healthcare systems. These findings establish quantum factorial networks as a viable solution for next-generation wireless communication, though scalability challenges and hardware requirements for quantum-enhanced nodes remain critical considerations for practical deployment.

PMID:40796924 | DOI:10.1038/s41598-025-09668-7

J Cardiothorac Surg. 2025 Aug 12;20(1):334. doi: 10.1186/s13019-025-03578-5.

ABSTRACT

BACKGROUND: Sublobar resection (SLR), which includes wedge resection (WR) and segmental resection (SR), is often considered a compromised procedure for non-small cell lung cancer (NSCLC) patients who have limited pulmonary reserve or other conditions that cannot tolerate lobectomy. This study intends to evaluate and compare the results of WR and SR on overall survival (OS) in patients undergoing compromised SLR.

METHODS: Data from the Surveillance, Epidemiology, and End Results (SEER) database was analyzed, identifing 2,047 patients with pathological stage (pStage) IB-IIIB NSCLC who underwent compromised SLR, including WR and SR. The two treatment groups’ potential baseline differences were balanced using propensity score matching (PSM). Univariate and multivariate analyses were conducted to determine the impact of procedures on OS before PSM. Kaplan-Meier (KM) analysis calculated survival curves and compared OS across groups before and after PSM. Subgroup analysis investigated the influence of surgical procedures on OS within specific patient subgroups after PSM. Additionally, a sensitivity analysis focusing on patients with T1 and T2 stages was performed after PSM to validate the robustness of the results.

RESULTS: Overall, 421 patients (20.57%) underwent SR. In univariate analysis, SR was associated with improved OS as compared to WR (HR = 0.85; 95% CI: 0.75-0.97; P = 0.02). Nevertheless, the association did not last in the multivariate analysis (HR = 0.94; 95% CI: 0.82-1.07; P = 0.32). Following PSM, KM analysis also revealed no significant difference in OS (P = 0.21). A subgroup analysis revealed that SR provided a marginal improvement in OS for patients under the age of 60. However, this impact was only borderline statistically significant (HR = 0.49; 95% CI: 0.23-1.03; P = 0.059), and no relevant link was observed in other groups. Additionally, a sensitivity analysis demonstrated no significant association between SR and OS (HR = 0.91; 95% CI: 0.73-1.13; P = 0.39).

CONCLUSIONS: The benefit of SR over WR in compromised SLR for NSCLC patients may be limited. Further studies are necessary to clarify the optimal surgical approach for different patient subgroups.

PMID:40796892 | DOI:10.1186/s13019-025-03578-5

Eur J Med Res. 2025 Aug 13;30(1):747. doi: 10.1186/s40001-025-03039-8.

ABSTRACT

OBJECTIVE: To conduct a comparative assessment of the safety and efficacy of the port repositioning technique and the port re-implantation technique in treating periport skin infections associated with totally implantable venous access ports (TIVAPs).

METHODS: A retrospective analysis was performed on 35 patients who presented with periport skin infections at Jiangyin People’s Hospital between June 2016 and August 2022. Among them, 15 patients in Group A underwent port repositioning surgery, while 20 patients in Group B received port re-implantation surgery. Clinical data of all patients were meticulously collected, including postoperative wound healing status and the functionality of the repositioned or re-implanted TIVAPs.

RESULTS: In Group A, the median age was 58 years (IQR 46-63 years); in Group B, the median age was 60.5 years (IQR 54.3-70 years). The median BMI of Group A patients was 22.2 kg/m² (IQR 20.4-23.5 kg/m²); the median BMI of Group B patients was 21.5 kg/m² (IQR 20.5-23.1 kg/m²). Technical success was achieved in all patients (100%), and all ports were functional postoperatively. In Group A, the median indwelling time of the repositioned TIVAPs was 7 months (IQR 4-11 months); in Group B, the median indwelling time of the newly re-implanted TIVAPs was 5 months (IQR 3-8 months); there was no statistically significant difference between the two groups (P > 0.05).

CONCLUSION: Compared with the port re-implantation technique, the port repositioning technique for periport skin infections is a minimally invasive and cost-effective approach. Nevertheless, further investigations with a larger number of cases are required to comprehensively validate its safety and reliability.

PMID:40796884 | DOI:10.1186/s40001-025-03039-8

Eur J Med Res. 2025 Aug 13;30(1):745. doi: 10.1186/s40001-025-03035-y.

ABSTRACT

BACKGROUND: Elevated albumin-corrected anion gap (ACAG) levels have been shown to be associated with increased mortality in various critical illnesses; however, data specifically addressing heart failure (HF) complicated by acute kidney injury (AKI) are lacking.

METHOD: Data from ICU patients with HF complicated by AKI between 2008 and 2022 were extracted and analyzed from the MIMIC-IV database. The association between baseline ACAG levels and all-cause mortality was assessed using multiple statistical methods, including variance inflation factor analysis, restricted cubic spline (RCS) modeling, Kaplan-Meier analysis, univariate and multivariate Cox regression, subgroup analysis, mediation analysis, and receiver operating characteristic (ROC) curve analysis.

RESULTS: A total of 5425 patients were included in this study. RCS analysis showed a linear relationship between ACAG and mortality (p = 0.075 for nonlinearity). The Kaplan-Meier curve and multivariate Cox regression analysis revealed a positive relationship between ACAG and mortality at both 30 and 365 days post ICU admission. These results were confirmed by subgroup analysis. Mediation analysis showed SAPS II, bicarbonate, BUN, creatinine, hemoglobin, Charlson and ASP III mediated the association between ACAG and all-cause mortality, accounting for 32.34%, – 30.59%, 32.28%, 19.83%, 7.57%, 7.58%, and 25.64% of the mediating effect, respectively (all p values < 0.001). The AUC value for predicting 30-day mortality was 0.643 for ACAG, greater than 0.616 for albumin and 0.604 for AG. For predicting 365-day mortality, the AUC value was 0.641 for ACAG, greater than 0.626 for albumin and 0.597 for AG.

CONCLUSION: Elevated ACAG is associated with increased mortality in HF patients with AKI, emphasizing the importance of monitoring metabolic parameters in this population. ACAG may be a valuable prognostic marker for HF and AKI. Further research is warranted to determine whether targeted interventions to correct metabolic acidosis could improve outcomes in this vulnerable patient group.

PMID:40796876 | DOI:10.1186/s40001-025-03035-y

Global Health. 2025 Aug 12;21(1):47. doi: 10.1186/s12992-025-01142-3.

NO ABSTRACT

PMID:40796857 | DOI:10.1186/s12992-025-01142-3

Virol J. 2025 Aug 12;22(1):277. doi: 10.1186/s12985-025-02905-5.

ABSTRACT

INTRODUCTION: Acute transverse myelitis (ATM) is a rare neurological disorder often associated with infections, autoimmunity, and vaccination. During the COVID-19 pandemic, the incidence of ATM appeared to increase; however, the causal relationship remains uncertain due to limited follow-up and variability in case reporting. This study aims to evaluate the incidence of ATM in SARS-CoV-2 patients, identify associated risk factors, and explore potential links to vaccination using real-world data.

METHODS: A retrospective cohort analysis was conducted using electronic health records from the USA collaborative network within the TriNetX database. The study included SARS-CoV-2-infected patients and a matched non-COVID-19 cohort from 2020 to 2023. Propensity score matching (1:1) was applied to minimize baseline differences between the groups. Kaplan-Meier survival curves and Cox proportional hazards models were used to assess the risk of developing ATM within a one-year follow-up period.

RESULTS: Patients with SARS-CoV-2 infection had a significantly higher risk of developing ATM compared to non-infected individuals (HR = 1.46, 95% CI = 1.21-1.74). Stratified analyses confirmed this increased risk across various subgroups, including patients younger and older than 65 years, both males and females, and those infected during the Alpha strain-dominant period. No statistical significance between patients with and without SARS-CoV-2 infection after received different SARS-CoV-2 Vaccines.

CONCLUSION: SARS-CoV-2 infection appears to be more strongly associated with ATM than COVID-19 vaccination. Given the potential for lifelong disability and the need for long-term care in affected individuals, further studies are warranted to explore the underlying mechanisms and preventive strategies.

PMID:40796844 | DOI:10.1186/s12985-025-02905-5

BMC Psychiatry. 2025 Aug 12;25(1):783. doi: 10.1186/s12888-025-07234-z.

NO ABSTRACT

PMID:40796843 | DOI:10.1186/s12888-025-07234-z