Nevin Manimala

Sci Rep. 2024 Feb 26;14(1):4592. doi: 10.1038/s41598-024-55226-y.

ABSTRACT

Endoscopic resection techniques require the use of submucosal injection. Normal saline and sodium hyaluronate solutions are mainly used for this purpose, but an ideal solution has not yet been developed. The aim of this study was to assess a new solution, MC-003-a novel submucosal injection solution developed with sodium alginate as the main ingredient. Normal saline, a commercial sodium hyaluronate solution (Endo-Ease), and MC-003 were examined. A total of 18 gastric submucosal cushions were created in the stomachs of six pigs. The height of mucosal elevation was measured sequentially using endoscopic sonography. After euthanizing the animals either 2 h or 5 days after the procedure, pathologic examination was performed for each injection site. Although not statistically significant over the entire study period, MC-003 showed a superior result to normal saline and an equivalent result to Endo-Ease in the submucosal cushion height and its rate of decrease. There were no adverse outcomes after injection of the three solutions and there was no pathologically identified detrimental change in the resected specimens. MC-003 creates a sufficient submucosal fluid cushion without apparent tissue damage. It can be considered as an effective submucosal injection material.

PMID:38409310 | DOI:10.1038/s41598-024-55226-y

Sci Rep. 2024 Feb 26;14(1):4663. doi: 10.1038/s41598-024-53193-y.

ABSTRACT

Wireless traffic prediction is vital for intelligent cellular network operations, such as load-aware resource management and predictive control. Traditional centralized training addresses this but poses issues like excessive data transmission, disregarding delays, and user privacy. Traditional federated learning methods can meet the requirement of jointly training models while protecting the privacy of all parties’ data. However, challenges arise when the local data features among participating parties exhibit inconsistency, making the training process difficult to sustain. Our study introduces an innovative framework for wireless traffic prediction based on split learning (SL) and vertical federated learning. Multiple edge clients collaboratively train high-quality prediction models by utilizing diverse traffic data while maintaining the confidentiality of raw data locally. Each participant individually trains dimension-specific prediction models with their respective data, and the outcomes are aggregated through collaboration. A partially global model is formed and shared among clients to address statistical heterogeneity in distributed machine learning. Extensive experiments on real-world datasets demonstrate our method’s superiority over current approaches, showcasing its potential for network traffic prediction and accurate forecasting.

PMID:38409301 | DOI:10.1038/s41598-024-53193-y

Langenbecks Arch Surg. 2024 Feb 27;409(1):76. doi: 10.1007/s00423-024-03266-3.

ABSTRACT

PURPOSE: To assess the association of postoperative C-reactive protein (CRP), leucocytes and vital signs in the first three postoperative days (PODs) with major complications after oncological colorectal resections in a tertiary referral centre for colorectal cancer in The Netherlands.

METHODS: A retrospective cohort study, including 594 consecutive patients who underwent an oncological colorectal resection at Maastricht University Medical Centre between January 2016 and December 2020. Descriptive analyses of patient characteristics were performed. Logistic regression models were used to assess associations of leucocytes, CRP and Modified Early Warning Score (MEWS) at PODs 1-3 with major complications. Receiver operating characteristic curve analyses were used to establish cut-off values for CRP.

RESULTS: A total of 364 (61.3%) patients have recovered without any postoperative complications, 134 (22.6%) patients have encountered minor complications and 96 (16.2%) developed major complications. CRP levels reached their peak on POD 2, with a mean value of 155 mg/L. This peak was significantly higher in patients with more advanced stages of disease and patients undergoing open procedures, regardless of complications. A cut-off value of 170 mg/L was established for CRP on POD 2 and 152 mg/L on POD 3. Leucocytes and MEWS also demonstrated a peak on POD 2 for patients with major complications.

CONCLUSIONS: Statistically significant associations were found for CRP, Δ CRP, Δ leucocytes and MEWS with major complications on POD 2. Patients with CRP levels ≥ 170 mg/L on POD 2 should be carefully evaluated, as this may indicate an increased risk of developing major complications.

PMID:38409295 | DOI:10.1007/s00423-024-03266-3

Sci Rep. 2024 Feb 26;14(1):4467. doi: 10.1038/s41598-024-53775-w.

ABSTRACT

Leptospirosis is a globally distributed zoonotic disease. The standard serological test, known as Microscopic Agglutination Test (MAT), requires the use of live Leptospira strains. To enhance its sensitivity and specificity, the usage of locally circulating strains is recommended. However, to date, no local strain is available from Austria. This study aimed to isolate circulating Leptospira strains from cattle in Austria to enhance the performances of the routine serological test for both humans and animals. We used a statistical approach combined with a comprehensive literature search to profile cattle with greater risk of leptospirosis infection and implemented a targeted sampling between November 2021 and October 2022. Urine and/or kidney tissue were sampled from 410 cattle considered at higher risk of infection. Samples were inoculated into EMJH-STAFF culture media within 2-6 h and a real-time PCR targeting the lipL32 gene was used to confirm the presence/absence of pathogenic Leptospira in each sample. Isolates were further characterised by core genome multilocus sequence typing (cgMLST). Nine out of 429 samples tested positive by PCR, from which three isolates were successfully cultured and identified as Leptospira borgpetersenii serogroup Sejroe serovar Hardjobovis, cgMLST cluster 40. This is the first report on the isolation and genotyping of local zoonotic Leptospira in Austria, which holds the potential for a significant improvement in diagnostic performance in the country. Although the local strain was identified as a cattle-adapted serovar, it possesses significant zoonotic implications. Furthermore, this study contributes to a better understanding of the epidemiology of leptospirosis in Europe.

PMID:38409294 | DOI:10.1038/s41598-024-53775-w

Sci Rep. 2024 Feb 26;14(1):4678. doi: 10.1038/s41598-024-53997-y.

ABSTRACT

Manual delineation of liver segments on computed tomography (CT) images for primary/secondary liver cancer (LC) patients is time-intensive and prone to inter/intra-observer variability. Therefore, we developed a deep-learning-based model to auto-contour liver segments and spleen on contrast-enhanced CT (CECT) images. We trained two models using 3d patch-based attention U-Net ([Formula: see text] and 3d full resolution of nnU-Net ([Formula: see text] to determine the best architecture ([Formula: see text]. BA was used with vessels ([Formula: see text] and spleen ([Formula: see text] to assess the impact on segment contouring. Models were trained, validated, and tested on 160 ([Formula: see text]), 40 ([Formula: see text]), 33 ([Formula: see text]), 25 (C_CH) and 20 (C_PVE) CECT of LC patients. [Formula: see text] outperformed [Formula: see text] across all segments with median differences in Dice similarity coefficients (DSC) ranging 0.03-0.05 (p < 0.05). [Formula: see text], and [Formula: see text] were not statistically different (p > 0.05), however, both were slightly better than [Formula: see text] by DSC up to 0.02. The final model, [Formula: see text], showed a mean DSC of 0.89, 0.82, 0.88, 0.87, 0.96, and 0.95 for segments 1, 2, 3, 4, 5-8, and spleen, respectively on entire test sets. Qualitatively, more than 85% of cases showed a Likert score [Formula: see text] 3 on test sets. Our final model provides clinically acceptable contours of liver segments and spleen which are usable in treatment planning.

PMID:38409252 | DOI:10.1038/s41598-024-53997-y

Sci Rep. 2024 Feb 26;14(1):4616. doi: 10.1038/s41598-024-55240-0.

ABSTRACT

A mathematical model that describes the dynamics of bacterium vibrio cholera within a fixed population considering intrinsic bacteria growth, therapeutic treatment, sanitation and vaccination rates is developed. The developed mathematical model is validated against real cholera data. A sensitivity analysis of some of the model parameters is also conducted. The intervention rates are found to be very important parameters in reducing the values of the basic reproduction number. The existence and stability of equilibrium solutions to the mathematical model are also carried out using analytical methods. The effect of some model parameters on the stability of equilibrium solutions, number of infected individuals, number of susceptible individuals and bacteria density is rigorously analyzed. One very important finding of this research work is that keeping the vaccination rate fixed and varying the treatment and sanitation rates provide a rapid decline of infection. The fourth order Runge-Kutta numerical scheme is implemented in MATLAB to generate the numerical solutions.

PMID:38409239 | DOI:10.1038/s41598-024-55240-0

Sci Rep. 2024 Feb 26;14(1):4628. doi: 10.1038/s41598-024-54719-0.

ABSTRACT

We develop a single two-layered model framework that captures and replicates both the statistical properties of the network as well as those of the intrinsic quantities of the agents. Our model framework consists of two distinct yet connected elements that were previously only studied in isolation, namely methods related to temporal network structures and those associated with money transport flows. Within this context, the network structure emerges from the first layer and its topological structure is transferred to the second layer associated with the money transactions. In this manner, we can explain how the micro-level dynamics of the agents within the network lead to the exogenous manifestation of the aggregated system statistical data en-wrapping the very same agents within the system. This is done by capturing the essential dynamics of collective motion in complex networks that enable the simultaneous emergence of tent-shaped distributions in growth rates within the agents, together with the emergence of scaling properties within the network in the study. We can validate the model framework and dynamics by applying these to the context of the real-world inter-firm trading network of firms in Japan and comparing the results of the statistical distributions at both network and agent levels in a temporal manner. In particular, we compare our results to the fundamental quantities supporting the seven empirical laws observed in data: the degree distribution, the mean degree growth rate over time, the age distribution of the firms, the preferential attachment, the sales distribution in steady states, their growth rates, their scaling relations generated by the model. We find these results to be nearly identical to the real-world data. The framework has the potential to be transformed into a forecasting tool to support decision-makers on financial and prudential policies.

PMID:38409204 | DOI:10.1038/s41598-024-54719-0

Sci Rep. 2024 Feb 26;14(1):4684. doi: 10.1038/s41598-024-54533-8.

ABSTRACT

Diverse cases regarding the impact, with its related factors, of the COVID-19 pandemic on mental health have been reported in previous studies. In this study, multivariable datasets were collected from 751 college students who could be easily affected by pandemics based on the complex relationships between various mental health factors. We utilized quantum annealing (QA)-based feature selection algorithms that were executed by commercial D-Wave quantum computers to determine the changes in the relative importance of the associated factors before and after the pandemic. Multivariable linear regression (MLR) and XGBoost models were also applied to validate the QA-based algorithms. Based on the experimental results, we confirm that QA-based algorithms have comparable capabilities in factor analysis research to the MLR models that have been widely used in previous studies. Furthermore, the performance of the QA-based algorithms was validated through the important factor results from the algorithms. Pandemic-related factors (e.g., confidence in the social system) and psychological factors (e.g. decision-making in uncertain situations) were more important in post-pandemic conditions. Although the results should be validated using other mental health variables or national datasets, this study will serve as a reference for researchers regarding the use of the quantum annealing approach in factor analysis with validation through real-world survey dataset analysis.

PMID:38409195 | DOI:10.1038/s41598-024-54533-8

Niger J Clin Pract. 2024 Feb 1;27(2):289-295. doi: 10.4103/njcp.njcp_402_23. Epub 2024 Feb 26.

ABSTRACT

BACKGROUND AND AIMS: Helicobacter pylori (H. pylori) infections are widely treated with antibiotic regimens such as “Amoxicillin 1 gr 2 × 1 tablet, Clarithromycin 500 mg 2 × 1 tablet, and Lansoprazole 30 mg 2 × 1 tablet” for 14 days. We conducted a prospective observational study to explore whether this treatment protocol serves as a predisposing factor for the colonization of resistant gastrointestinal microflora, namely vancomycin-resistant enterococci (VRE), extended-spectrum beta-lactamase Enterobacterales (ESBL-E), and carbapenem-resistant Enterobacterales (CRE).

MATERIALS AND METHODS: Pre- and post-treatment stool samples from 75 patients diagnosed with H. pylori, without a prior treatment history, were cultured and evaluated based on the European Committee on Antimicrobial Susceptibility Testing (EUCAST) criteria.

RESULTS: Of the 75 evaluated patients, a pronounced surge in ESBL-E positivity was observed. Before initiating antibiotic treatment, 12 patients (16%) had ESBL-E-positive strains in their gastrointestinal tract. Notably, this number surged to 24 patients (32%) after the conclusion of the 14-day treatment regimen. The change was statistically significant, with a P value of less than 0.002, indicating a clear association between treatment for H. pylori and heightened ESBL-E colonization. Notably, VRE and CRE remained undetected in patients throughout the study, suggesting that the treatment regimen may specifically amplify the risk of ESBL-E colonization without affecting VRE and CRE prevalence.

CONCLUSIONS: As the inaugural report from Turkey on this issue, our study suggests that antibiotic regimens for H. pylori eradication contribute to the increased risk of ESBL-positive bacterial colonization in the gastrointestinal tract.

PMID:38409160 | DOI:10.4103/njcp.njcp_402_23

Niger J Clin Pract. 2024 Feb 1;27(2):280-288. doi: 10.4103/njcp.njcp_676_23. Epub 2024 Feb 26.

ABSTRACT

BACKGROUND: Although it is known that religion is used to cope with health problems, there is a lack of information about the effect of religion on menopausal symptoms and cancer screening attitudes of climacteric women.

AIM: This study was conducted to determine the relationship between the religious attitudes of women in the climacteric period and their attitudes toward menopausal symptoms and cancer screening.

MATERIALS AND METHODS: This was a cross-sectional study of 381 women in the climacteric period in the Central Anatolia region of Türkiye. Data collection form, the Menopause Rating Scale (MRS), OK-Religious Attitude Scale (ORAS), and attitude for cancer screening (short form) (ASCS) were used to collect data. Correlation analysis assessed the relationship between MRS, ORAS, and ASCS.

RESULTS: There was a low positive correlation between women’s ORAS mean score (35.19 ± 4.80) and MRS mean score (12.68 ± 7.24) (r = 0.284, P < 0.001). There was no statistically significant relationship between the mean ORAS scores of the women and the mean ASCS scores (64.59 ± 10.47) (r = 0.089, P > 0.05).

CONCLUSION: Women who experienced more severe menopausal symptoms had stronger religious attitudes. Women’s religious attitudes did not affect their attitudes toward cancer screening. It is therefore recommended that health professionals organize counseling and training activities to protect and improve the health of menopausal women and increase their participation in screening and treatment programs.

PMID:38409159 | DOI:10.4103/njcp.njcp_676_23