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In this paper, we explore the property of being a cordial graphic and establish that it corresponds to an Alexandroff topological space. We analyze how the characteristics of cordial graphs align with the principles of Alexandroff topology and provide insights into their topological structure.

In this article, a new class of sets namely neutrosophic resolvable sets in neutrosophic topological space have been introduced. We present the neutrosophic resolvable functions between neutrosophic topological spaces by neutrosophic resolvables sets. Also we examine the characteristics of neutrosophic resolvable sets and neutrosophic resolvable functions with the existing sets.

The focus of this article is to introduce a new class of sets namely neutrosophic semi j-open and neutrosophic semi j-closed sets in neutrosophic topological space. Using this, we present the new spaces neutrosophic hyperconnected and neutrosophic semi j-hyperconnected. Also we explore the characteristics of neutrosophic semi j-open sets, neutrosophic semi j-closed set, neutrosophic hyperconnectedness. Finally we examine the properties of neutrosophic semi j-hyperconnectedness with some existing sets.

BACKGROUND: Fatigue is a pervasive and debilitating symptom among hemodialysis patients, severely impacting their quality of life and ability to participate in social activities. Dialysis nurses are pivotal in alleviating these effects through physical exercise. This study aims to evaluate the effectiveness of an integrated dialysis nursing intervention in reducing fatigue among hemodialysis patients. METHODS: A quasi-experimental time series design was employed, involving 295 hemodialysis patients (148 in the experimental group and 147 in the control group) selected through consecutive sampling from two dialysis units in Chennai. Baseline fatigue was assessed in both groups. The experimental group received the integrated dialysis nursing intervention, including 15-minute sessions of aerobic exercises three times a week for eight weeks. The control group continued with routine care. Fatigue levels were reassessed at the end of the fourth and eighth weeks. Data were analyzed using SPSS version 20. RESULTS: The study revealed a significant reduction in fatigue scores in the experimental group compared to the control group, with p < 0.001 in post-test I and II. The experimental group showed greater improvement than the control group, with p < 0.05. Conclusions: The integrated dialysis nursing intervention significantly reduced fatigue in hemodialysis patients. Incorporating this approach into routine intradialytic care can enhance fatigue management and improve patients' quality of life. [ABSTRACT FROM AUTHOR]

In this article, we implement a new notion of sets namely neutrosophic nano j-closed set, neutrosophic nano generalized closed set, neutrosophic nano generalized j-closed set and neutrosophic nano generalized j*-closed set in neutrosophic nano topological spaces. We also provide some appropriate examples to study the properties of these sets. The existing relations between some of these sets in neutrosophic nano topological space have been investigated.

Speckle is modeled as a signal dependent noise, which tends to reduce the image resolution and contrast, thereby reducing the diagnostic values of the ultrasound imaging modality. Reduction of speckle noise is one of the most important processes to increase the quality of biomedical images. Filters are used to improve the quality of ultrasound images by removing the noise. This paper compares the performance of the thresholding technique Bayes Shrink in despeckling the medical ultrasound images with other classical speckle reduction filters like Lee, Frost, Median, Kaun, Wavelet Bayes, Anisotropic diffusion and Wavelet. The performance of these filters is analyzed by the statistical measures such as Peak Signal-to Noise Ratio, Mean Square Error and Equivalent Number of Looks. To produce a better quality resolution picture, the filter should have high Peak Signal to Noise Ratio, low Mean Square Error, high Equivalent Number of Looks. The results obtained are presented in the form of filtered images, statistical tables and graphs. Finally, the best filter has been recommended based on the statistical and experimental results. From the results obtained Lee and Frost filter outperforms the other mentioned filters in terms of high PSNR and low MSE for high variance of noise where as anisotropic diffusion filter outperforms with high PSNR and low MSE with maximum ENL for low variance values of noise.

Introduction: Simulation is an active teaching learning method performed in a controlled, protected and safe environment. The study was aimed to assess the the perception of simulation-based learning among Nursing faculties. Methodology: A descriptive study was conducted at selected college of nursing, Chennai among 63 nursing faculties selected through purposive sampling technique. Data was collected through Google forms using background variables Proforma and rating scale on perception of simulation-based learning through online mode. Results: Around half of the faculties (44.4%) were aged between 36 to 45 years, Post graduates (55.6%) and 49.2% had more than 10 years of teaching experience. Most of them (86%) had positive perception whereas 14% had neutral perception regarding simulation learning, with the domain wise mean score of Clinical skills & Experience (27.1+9.2), communication and patient safety (21.5+7.4), Curriculum Replacement (11.1+2.5), Confidence and Satisfaction of Students (13.5+3.1). Conclusion: Implementation of SBL in Nursing education has been perceived favorably by a large number of Faculties. Faculty development Programme is needed to strengthen the nursing faculties in implementing simulation in a nursing education curriculum. [ABSTRACT FROM AUTHOR]

The system deals with the optimization of vehicle routing problem in which multiple depots, multiple customers, and multiple tollgate are considered. Since the total traveling time is not always restrictive as a time window constraint, the objective in this regard it comprises not only the cost due to the total traveling distance, but also the cost due to the total traveling time. The multidepot vehicle routing problem is one of the common optimization problems in the logistics area. In a real-world environment, drivers choose the shortest route to reach a destination since they assume that it should take the shortest time to travel the shortest route. However, if some events such as traffic congestions, sometime unexpected thing happen in the shortest route, the traveling time spent on this route can be greater than that on the longer route. We propose a stochastic search technique called FLGA to solve the problem. Based on the promising computational results obtained in this proposed system, the proposed model and technique will be effective for industries to be applied in solving real-world problems. It also an unique module to show whether any meeting is on the way chosen by the traveler. If any meeting is found the user can change his route at the place of where the user stays. [ABSTRACT FROM AUTHOR]

XML has been used as a universal format to design the documents on web, because Mark-up language created using XML for any application does not place any restriction on the number of tags that can be defined. The flexibility to create user-defined tags in XML enables smart searches in large data. The structure of XML provides sophisticated proximity measures as the distance between the last word in one element and the first word in the next element is greater than the distance between adjacent words in the same element, even though their physical proximity in the document is similar. As large number of XML documents are used in the web, classification is needed for efficient data retrieval. This paper is based on document classification for XML semi structured data. In this work, it is proposed to exploit the structure feature of XML data and construct a weighted term frequency feature vector with frequent itemset mining of metonymy tree. Two different classifiers: Naive Bayesian Classifier and K-Nearest Neighbor Classifier are used for classifying the extracted features. Reuter's dataset is used for evaluating the performance of classifiers is compared. [ABSTRACT FROM AUTHOR]