bluuebunny/crossref_metadata_2025_split huggingface dataset:
A unique equivalence class of near-points of coincidence for generalized contractions in interval spaces
Authors: Sharifi Marzieh , Mosadegh Sayed Mohamad Sadegh Modarres 
Published: February 2024

Abstract
In this article, we discuss some theorems of near-points of coincidence for generalized contractive mappings in metric and normed interval spaces that are also weakly compatible self-mappings. In these theorems, we investigate the existence and uniqueness of common near-fixed points. We also provide examples to demonstrate the validity of our work.
Mathematics Subject Classification (2010). Primary 47H10; Secondary 54H25.
Ultrasound activity score in the carotid arteries for assessing disease activity of Takayasu arteritis
Authors: Ma Lingying , Sun Ying , Liu Yun , Huang Huijing , Chen Rongyi , Li Chaolun , Han Hong , Jiang Lindi 
Published: February 2024

Abstract
Objective: The role of ultrasonography for evaluating vessel wall inflammation in Takayasu arteritis (TAK) is well-recognized; however, an effective approach for the quantitative assessment of disease activity remains lacking. This study aimed to develop a novel ultrasound-based scoring system for determining TAK activity.
Methods:TAK patients with carotid artery involvement were prospectively followed-up for 6 months. Their clinical symptoms, inflammatory biomarkers, and ultrasonographic features at baseline and follow-up were recorded. Our proposed ultrasound activity score (ULTRAS) consisted of wall thickness (TS) and semi-quantitative echogenicity scores (ES). The diagnostic performance of ULTRAS for disease activity was evaluated in terms of area under the receiver operating characteristic curve (AUC). Internal validation was subsequently performed.
Results: A total of 136 patients were included. 83 (61.0%) of whom had active disease. Active TAK demonstrated significantly increased ESR and CRP levels, greater wall thickness and proportion of low echogenicity on ultrasonography, and higher TS, ES, and ULTRAS. At an optimal cut-off of 7, ULTRAS showed satisfactory diagnostic accuracy for active TAK (AUC, 0.88; 95% CI, 82–94). Improved diagnostic performance was achieved when combined with ESR (AUC, 0.91; 95% CI, 86–96). At 3-month follow-up, an improvement in wall thickness of ≥0.3 mm correlated with symptom recovery in 50% of patients.
Conclusions: Our proposed ultrasound-based scoring model carries the potential in the detection of active disease among TAK patients.
Predictive ability of longitudinal changes in Kerbs von Lungren 6 for acute exacerbation of fibrotic interstitial lung disease: Database research
Authors: Shiroshita Akihiro , Anan Keisuke , Shirakawa Chigusa , Shiba Hiroshi , Yajima Nobuyuki 
Published: February 2024

Abstract

Background
Acute exacerbation (AE) in fibrotic interstitial lung diseases (ILDs) poses a significant challenge, with limited available evidence for predicting such events. Kerbs von Lungren 6 (KL-6) is a proposed predictive marker for prospective AE; however, only its baseline value has been evaluated. To address this gap, this study investigates the association between the patient-specific evolution of serum KL-6 levels and the AE risk of fibrotic ILD.
Methods
This study used data from the Japanese Database of Health, Clinic, and Education Information Evaluation Institute and JMDC Inc. The included patients had fibrotic ILDs and antifibrotic therapy with ≥ 2 measurements of serum KL-6 from the index date to the end of follow-up. The outcome was AE of acute or chronic fibrotic ILDs defined based on the combination of its primary diagnoses, emergency admission, and pulse/high-dose steroids on the day of or after admission. We used a joint regression model for each patient’s serial serum KL-6 measurements and a proportional hazards regression model for the hazard ratio of AE.
Results
The study included 939 patients with fibrotic ILDs, and 194 (21%) experienced AE during the follow-up (event rate, 0.13/person-year; 1-year incidence, 35%). The hazard ratio of AE comparing patients differing in cumulative serum KL-6 was 1.54 (95% confidence interval: 1.20–1.98, p < 0.001).
Conclusions
A high baseline KL-6 level and its upward evolution can predict the AE of fibrotic ILD. Longitudinal KL -6 measurement should be considered, especially for patients who cannot perform pulmonary function tests well. Our study could help develop strategies for improving fibrotic ILD prognosis and treatment.
Comorbid thrombosis as an adverse prognostic factor in patients with ovarian clear cell carcinoma regardless of staging
Authors: Yamaguchi Kohei , Tsuruga Tetsushi , Taguchi Ayumi , Tanikawa Michihiro , Sone Kenbun , Mori-Uchino Mayuyo , Iriyama Takayuki , Matsumoto Yoko , Hiraike Osamu , Hirota Yasushi , Fujii Tomoyuki , Osuga Yutaka 
Published: February 2024

Abstract

[Objective] Patients with ovarian clear cell carcinoma (OCCC) often present with thrombosis. While cancer patients with concomitant thrombosis were generally reported to have worse prognoses than those without, the association between thrombosis and prognosis has not been elucidated in OCCC. This study aimed to determine how the co-occurrence of thrombosis affects OCCC prognoses.
[Methods] We retrospectively examined 115 patients with OCCC who were diagnosed and treated at the University of Tokyo Hospital between 2009 and 2019.
[Results] Of 115 patients with OCCC, thrombosis was present in 12.5% of 80 patients and in 42.8% of 35 patients who had OCCC stage I/II and stage III/IV, respectively. In stage I/II, the 5-year progression-free survival was 20.6% and 91.8% among patients with thrombosis and among those without, respectively, while the corresponding 5-year overall survival rates were 50.0% and 94.1%. Therefore, the outcomes were significantly poorer among patients with thrombosis (p < 0.0001 and p < 0.0001, respectively). In stage III/IV, the 5-year progression-free survival was 26.7% and 52.8% among patients with thrombosis and among those without, respectively, while the corresponding 5-year overall survival rates were 32.0% and 62.2%. Similarly, the outcomes were significantly poorer among patients with thrombosis (p = 0.0139 and p = 0.369, respectively).
[Conclusion] We determined that thrombosis is more likely to develop in advanced OCCC stages than in early stages, and its co-occurrence is associated with a poor prognosis, regardless of disease stage.
Do the perioperative intravenous fluids affect kidney graft function and electrolytes in pediatric kidney transplantation?
Authors: Aleysae Nabil Abdulrahman , Kimawi Abdullah , Bamahmoud Alaa , Alharbi Naffa , Salem May , Jaafari Abdulla , Alfaifi Malak , Alfarran Lujain , Alturkistani Bushra , Yousef Aly , Jouhar Toufik , Alhassoun Abdulkarim , Qadi Najib 
Published: February 2024

Abstract
Background. The type and volume of intravenous fluids administered perioperatively for kidney transplant recipients may affect the graft function and induce electrolyte disturbances in these patients. We studied whether the type of intravenous fluids given during perioperative period affect kidney graft function and electrolyte balance in paediatric kidney transplant recipients.
Methods. This retrospective study included all pediatric patients who underwent kidney transplantation at a single center between January 2014 and December 2022. We grouped patients based on the amount of normal saline (NS) they received: high NS (received >70% of their total fluids as NS) and low NS group (received <70% of their total fluids as NS). The outcome was the incidence of slow graft function, electrolyte disturbances and metabolic acidosis in the first 48 hours after surgery.
Results. Of 78 patients who included, 29.5% had slow graft function on posttransplant day 2 with no significant difference between both groups. Hyperchloremia, hypokalemia, hyponatremia, hypernatremia, and hyperkalemia were observed in 42.3%, 26.9%, 24.4%, 5.1%, and 2.6%, respectively. Hypokalemia was less in low NS group. There is no significant difference between the groups regarding the metabolic acidosis (78% vs 62%).
Conclusion. This study found that perioperative administration of normal saline at volumes greater than 70% of total fluids did not significantly affect the incidence of slow graft function, electrolyte disturbances, or metabolic acidosis in pediatric patients who underwent kidney transplantation.
Protective Effects of Antimicrobial Peptide Microcin J25 (MccJ25) Isolated from Escherichia coli against Breast Cancer Cells
Authors: Shalibeik Saman , Ghandehari Fereshte , Ahadi Ali-Mohammad , Rastegari Ali-Asghar , Ghiasian Mojgan 
Published: February 2024

Abstract
Introduction:
Microcins are Antimicrobial peptides (AMPs) with low molecular weight, which are produced by Enterobacterales and have broad-spectrum antibacterial activity. They can selectively replace common cancer treatments in cancer cells with less side effects and higher effectiveness. Given the aforementioned context, the present study endeavors to examine the antitumor activity of microcins isolated from of the Enterobacterales.
Material and Methods
In total, 120 Enterobacterales isolates were examined after identification. Subsequently, the bacteria were subjected to an agar diffusion test to assess their antibacterial efficacy. Positive isolates were further examined for the presence of Mccj25 using PCR. The cytotoxic effects of isolates harboring the microcin gene were explored using quantitative real-time PCR (RT-qPCR) and the MTT test on breast cancer cells. Additionally, the expression levels of BCL2 and STAT3 genes were evaluated, and apoptosis was quantified using flow cytometry. The repair rate of normal cells was determined using a scratch assay.
Results
The findings obtained from the phenotypic and biochemical assays have duly verified and established the categorization of the Enterobacterales. After conducting the agar diffusion test, a total of 25 isolates of Escherichia coli and Klebsiella pneumoniae displaying inhibition zones were chosen as suitable specimens possessing AMPs. Urinary E. coli was identified as isolate 83. The analysis conducted on the expression of the Mccj25 gene within the aforementioned isolates indicated that isolate 83 exhibited significant expression of the Mccj25 gene.
Conclusion
The extract obtained from this isolate on the breast cancer cell line exhibited the most significant degree of toxicity after precisely 48 h. Furthermore, the treatment of breast cancer cells with isolate 83 showed that the rate of apoptosis was about 86%, and the expression of BCL2 and STAT3 genes decreased. Moreover, it potentiated the reparative ability of normal fibroblast cells. They resulted in growth suppression of breast cancer cells and elicited an escalated rate of cellular demise via the apoptosis pathway.
The Effects of Urtica Dioica Root and Rosa Damascena Mill Petal Extracts on Andropause symptoms and Reproductive Characteristics of Middle-age Male Rats
Authors: esfahlani Mohsen Abedini , Haghpanah Tahereh , Afarinesh Mohammad Reza , Mirzaie Vida , Nematollahi-Mahani Seyed Noureddin 
Published: February 2024

Abstract
Background
Andropause starts in middle-aged men and affects hormonal balance and behavioral/sexual functions. The aim of the present study was to determine the effects of two Rosa Damascena Mill. (Rosaceae, Rosa) and Urtica dioica L. (Urticaceae, Urtica); in relieving andropause symptoms due to their antioxidant and reproductive properties.
Methods
Animals were allocated into five groups including the young, control vehicle, Rosa, Urtica and Rosa + Urtica groups. Behavioral tests were performed. Sperm parameters and sex hormones were also assessed.
Results
Both extracts, especially in combined form increased preference index and muscle strength and decreased the level of depression significantly. Semen quality increased in the extract-treated groups. Testosterone level was increased significantly in the Rosa + Urtica group in middle-aged animals after 50 days of treatment. luteinizing hormone (LH), follicle-stimulating hormone (FSH), and the level of sex hormone binding globulin (SHBG) also changed in the extract-treated groups.
Conclusions
Rosa Damascena Mill and Urtica dioica can change testosterone level in the middle-aged animals and also ameliorate andropause symptoms. Mood, muscle strength and cognition would improve following administration of these herbs. The herbal nature of these extracts and their worldwide use in traditional medicine make them more appropriate for human studies and applications.
Dispersion Complex Network-Transition Entropy: A Novel Metric for Nonlinear Signal Processing
Authors: Geng Bo , Wang Haiyan , Shen Xiaohong , Zhang Hongwei , Yan Yongsheng 
Published: February 2024

Abstract
In signal acquisition, various forms of noise interference are inevitably present, and the resulting nonlinear signals severely limit the applicability of traditional signal processing methods. To address this challenge, this study proposes a novel complexity measurement metric called dispersion complex network-transition entropy (DCN-TE), which integrates the concepts of complex networks and information entropy. Specifically, we use the single cumulative distribution function values as nodes and employ Markov chains to represent the links, thereby transforming the signal into a complex network with directional weights. Then, we assess both the significance of nodes and the links to compute the DCN-TE value, and combine it with classifiers for signal processing tasks. Subsequent experiments comprehensively evaluate the performance of DCN-TE using simulated chaotic models and real hydroacoustic signals. The results indicate that compared with Lempel-Ziv complexity, permutation entropy, and dispersion entropy, DCN-TE can more rapidly and accurately capture dynamic changes in signals. Importantly, DCN-TE also exhibits optimal performance in distinguishing between different categories of chaotic models, ships, and modulation signals, thereby demonstrating its significant potential in signal processing.
Diagnostic ability of magnifying endoscopy compared to biopsy examination for early gastric cancer prior to endoscopic submucosal dissection
Authors: Yoshida Takuma , Dohi Osamu , Seya Mayuko , Yamauchi Katsuma , Fukui Hayato , Miyazaki Hajime , Yasuda Takeshi , Ishida Tsugitaka , Iwai Naoto , Doi Toshifumi , Hirose Ryohei , Inoue Ken , Yoshida Naohisa , Uchiyama Kazuhiko , Ishikawa Takeshi , Takagi Tomohisa , Konishi Hideyuki , Morinaga Yukiko , Kishimoto Mitsuo , Itoh Yoshito 
Published: February 2024

Abstract
Background Biopsy-specimen examination is the gold standard for the preoperative histological diagnosis of early gastric cancer (EGC). However, few studies have compared the diagnostic accuracies of biopsy and magnifying endoscopy with narrow-band imaging or blue laser imaging (ME-NBI/BLI). Thus, we compared the diagnostic accuracy of biopsy specimens and ME-NBI/BLI to evaluate whether ME-NBI/BLI is a feasible preoperative diagnostic tool for EGC.
Methods This retrospective single-center study enrolled 185 patients who underwent gastric endoscopic submucosal dissection (ESD) between January and December 2018. The sensitivity and positive predictive value (PPV) of the histological diagnosis of ME-NBI/BLI and biopsy were evaluated. Logistic regression analysis was used to assess the risk factors for the misdiagnosis of biopsy specimens and ME-NBI/BLI.
Results In total, 158 patients with EGC were analyzed. Sensitivities of biopsy and ME-NBI/BLI were 1 and 0 for adenomas (P = 0.333), 0.693 and 0.971 for differentiated adenocarcinomas (P < 0.001), and 0.688 and 0.625 for undifferentiated adenocarcinomas (P > 0.999), respectively. PPVs of biopsy and ME-NBI/BLI were 0.077 and 0 for adenomas (P> 0.999), 0.960 and 0.958 for differentiated adenocarcinomas (P > 0.999), and 0.750 and 0.750 for undifferentiated adenocarcinomas (P > 0.999), respectively. The underdiagnosis rate for differentiated adenocarcinomas was significantly higher in biopsy examination than in ME-NBI/BLI (27.9% vs. 0%, respectively, P < 0.001).
Conclusion ME-NBI/BLI had a higher sensitivity than biopsy examination for the preoperative diagnosis of differentiated adenocarcinomas. Therefore, performing ME-NBI/BLI for these lesions may be preferable regardless of their diagnosis as non-cancerous lesions from biopsy specimens.
Chunk Integrated Network Slicing(CINS) with Eagle Sight View Optimization for 5G System using wireless networks
Authors: Rao Voore Subba , Gaur Manish 
Published: February 2024

Abstract

The use of high-speed transmission media is improved by the development of data communication systems. The network strength and data routing determine this speed. Because of this, the 5G network architecture increased bandwidth use and improved the LTE model, which improved communication system performance. Since these parameters are insufficient to obtain the maximum level of data transmission speed increase. The ideal routing system is the subject of the majority of research studies. An improved version of Seagull with Eagle Sight View Optimization (SESVO) is used in this suggested work in order to boost 5G system performance. In order to slice the network into multiple combinations, the optimization algorithm chooses the optimum network slicing strategy. This determines the best availability path to route the data with the best distance prediction and quick switching effect after ideally analysing the traffic level in a network path. The suggested method calculates the correlation coefficient between the communication nodes and weights the dynamic traffic that flows through the routing path. The optimization approach uses these estimated properties to choose the best attributes from the node arrangement's total feature set. By reusing the link pattern, the SESVO algorithm predicts relative feature qualities and develops a clustering architecture to depict high data transfer. The optimal routing path is represented by the convergence graph's best fitness value at each iteration of the optimization method. It is possible to analyse the optimal routing path and pattern availability for a node at any given time by looking at the SESVO objective function's fitness. The experimental result justifies the efficiency of proposed work comparing to other state-of-art methods for routing and link allocation system.
Optimized Transfer Learning Models for Breast Cancer image classification
Authors: Slimi Houmem , Abid Sabeur 
Published: February 2024

Abstract
Breast cancer (BC) is one of leading cause of cancer death among women. Early detection of this pathology allows to define, for patients, the appropriate treatment which improve the possibility of survival. Consequently, the earlier it is detected, the better the survival rate will be. In last years, big interest has been made on applying deep learning neural networks to BC analysis, detection and classification. Several interesting results have been found but they still needing more improvement and validation. In this frame is located our work which consists on developing and comparing different deep leaning approaches for earlier detection and classification of BC from mammogram images. Different new deep learning techniques are developed resulting on a considerable improvement in the rate of the classification accuracy with more robust models. Simulations are carried out on two data bases illustrating that the new proposed approaches provide significant evaluation metrics in comparison with several commonly known transfer learning architectures.
From Gaussian to Lognormal: Improving Material Property Modeling forPrecise Structural Predictions.
Authors: kumar rakesh 
Published: February 2024

Abstract
Accurate prediction of material properties is essential in structural engineering design to ensure re-liability and safety. Traditional approaches often rely on Gaussian distributions to model materialvariability. However, our research reveals limitations with Gaussian assumptions, particularly whencovariance parameters exceed certain thresholds, leading to physically unrealistic negative values formaterial properties.To overcome these limitations, we investigate an alternative approach using lognormal distribu-tions for material property modeling. Through Monte Carlo simulations employing Cholesky decom-position, we compare the performance of lognormal distributions with Gaussian counterparts. Ourfindings demonstrate that lognormal distributions offer a viable alternative, providing more accuraterepresentations of material variability while maintaining computational efficiency.Furthermore, we utilize finite element method (FEM) data from Monte Carlo simulations to predictbeam deflection using deep neural networks (DNNs). Leveraging inverse modeling techniques, weshowcase the ability to predict elastic modulus from beam deflection data under both normal andlognormal distribution assumptions.By integrating lognormal modeling and inverse modeling techniques into structural analysis, weenhance the realism and accuracy of predictions, thereby improving reliability in engineering design.This paper discusses the implications of our findings and emphasizes the importance of consideringalternative probability distributions for material property modeling in structural engineering applica-tions.
The Impact of Extracranial Metastatic Features on Patients with Breast Cancer Brain Metastasis: A Retrospective Analysis of 284 Patients
Authors: Wang Yan , Xu Hangcheng , Sa Qiang , Li Li , Han Yiqun , Wu Yun , Zhou Yiran , Xu Binghe , Wang Jiayu 
Published: February 2024

Abstract
Purpose
Breast cancer brain metastasis (BCBM) is associated with poor survival outcomes and reduced quality of life. The Graded Prognostic Assessment (GPA) score model serves as a well-established tool for predicting the prognosis of BCBM. Notably, the presence of extracranial metastasis (ECM) is considered as a significant prognostic factor in the breast GPA model. This study aims to further refine other features of extracranial metastasis to enhance the prognostic prediction for BCBM.
Methods
This study included all inpatients diagnosed with BCBM at the Cancer Hospital, Chinese Academy of Medical Sciences (CHCAMS), from January 2010 to July 2021. The subsets were categorized by the presence, number, location, and control status of ECM. The primary endpoint was overall survival (OS) after the diagnosis of BCBM. We used the Kaplan–Meier method with log-rank test to compare the survival outcomes. Cox regression analyses were conducted to identify significant prognostic factors, which were then incorporated into a new Breast-GPA model.
Results
A total of 284 patients with BCBM were included in the study. Kaplan–Meier survival curves suggested that patients without ECM when diagnosed with BCBM showed better survival (p = 0.0068). In the subgroups with ECM, more than 3 organs involved, both bone and visceral metastasis and progressive ECM portended dismal OS (p = 0.0032, 0.0014 and 0.00054). Multivariate analysis (MVA) demonstrated that the presence, number, and control status of ECM significantly influenced OS after BCBM (p = 0.01, 0.03, and 0.048, respectively). By modifying the current GPA model to include categories for '3 or fewer controlled ECM', the predictive accuracy of the newly established GPA model was further enhanced.
Conclusion
More extracranial sites, both bone and visceral invasion and uncontrolled ECM were independent prognostic factors for dismal survival outcomes of BCBM patients.