Volume 12 | Issue 12 |

 Abstract

Nurses play a pivotal role in any health care institution and encompass the largest workforce in any health care institution; they act as direct caregiver's who serve a hospital twenty-four hours a day, seven days a week. This gives nurses a unique perspective on both patient care and hospital operations. Nursing is a demanding and stressful job. Burnout is a syndrome conceptualized as resulting from chronic workplace stress that has not been successfully managed. Developing and fostering resilient environments and individuals within the health profession is emerging as a way to reduce negative, and increase positive outcomes of stress in health professionals. Resilience in nursing generally accepted as a positive adjustment when confronted with adversity. Objectives: The objectives of the study were to assess the level of burnout, level of resilience and to find out the co-relation between level of burnout and resilience among staff nurses working in a selected hospital, New Delhi. Methods: A descriptive research design was used. 180 staff nurses were selected by stratified random sampling technique. Data was collected using the Mashlach Burnout Inventory (MBI) Scale and Connor-Davidson Resilience Scale (CD-RISC). Result: The study revealed majority of the samples that is 46.7% had moderate degree of burnout, while 33.3% had high degree burnout and 20% had low degree burnout. Total mean score for burnout is 69.7. The study also reveals majority of the samples 61.7% had higher resilience, while 35.6% average resilience and 2.7% had lower resilience. Mean score for resilience is 69.9. There was significant positive correlation between the level of Burnout score and Resilience score as evident from the "r" value of 0.28. The study concluded that there is a need of necessary action to be taken to reduce burnout among staff nurses to improve the quality care provided by them and also to have a conducive working environment for the staff nurses.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Burnout, Resilience, Staff Nurse

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Creative Commons Attribution 4.0 and The Open Definition

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This is a theoretical paper based on the secondary data and information, basically explaining the conditions, issues and discussion of road transport development in India based on 2017 data. This paper aims to analyze the road transport indicators such as others road & road density (100 Sq km area), Road density per lakh population and Road development Index. Also various factors have been explained which affect the process of road transport development. After that Kendall Ranking Method is adopted to find out the level of development. The intent of this article is to explain the common problems and the challenges faced by the government for development of roads.

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 Keywords

Roads, Density, Population, Development, Index.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sangeet Jivi Jatiyo Ka Jodhpur Riyasat Ke Lok Sangeet Ke Sarkashan Me Yogdhan

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Creative Commons Attribution 4.0 and The Open Definition

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Sangeet Jivi Jatiyo Ka Jodhpur Riyasat Ke Lok Sangeet Ke Sarkashan Me Yogdhan

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Creative Commons Attribution 4.0 and The Open Definition

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In the digital age, the task of detecting music plagiarism has become increasingly critical to preserving the integrity of creative works. Music plagiarism detection involves the identification of similarities between musical pieces that may indicate unauthorized copying or infringement. A key element of this challenge is the accurate extraction and comparison of audio features from different tracks. In this paper, we present a novel approach that employs Python's librosa library to extract essential audio features and utilizes Euclidean distance to quantify the similarity between these features. To further refine the accuracy of plagiarism detection, we have integrated the K-Nearest Neighbors (KNN) machine learning algorithm, which classifies the audio samples based on their extracted features. The culmination of our approach is a detailed plagiarism report generated using the reportlab library, which provides comprehensive insights into the similarities between analyzed tracks. This method offers a systematic and robust solution for identifying potential cases of music plagiarism, contributing to the protection of intellectual property in the music industry.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Music Plagiarism, Audio Features, Euclidean Distance, K-Nearest Neighbors, librosa, reportlab.

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Creative Commons Attribution 4.0 and The Open Definition

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In the state of Tripura, rural resource planning is heading towards web-based geospatial enablement. But, data-gap exists in case of clearly defined boundaries the Gram Panchayat (GP)/ Village Committee (VC) which are the basic planning units. Currently, GP/VC database are available in 1:50000 scale. For large scale mapping GP/VC boundaries were abstracted by the ground staff of Rural Development Department through surveying using Android Mobile Application and later fine-tuned with 30 cm spatial resolution ortho-rectified satellite imagery. Further, GP/VC boundaries were validated in the field by concerned Block Development Officers. The results show that the methodology is well suited for the precise demarcation of the territorial extents in a time-effective manner.

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 Keywords

Satellite data, GIS, Administrative Boundaries, TSAC, GP/VC, MGNREGA, Developmental, Planning.

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Creative Commons Attribution 4.0 and The Open Definition

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Adolescence is a critical developmental stage marked by significant physical, emotional, and social changes. The ability to adjust effectively to these changes is essential for adolescents' overall well-being and success in various life domains, including academics. This study explores the adjustment levels of secondary school learners in the East Siang district of Arunachal Pradesh, focusing on emotional, social, and educational adjustment in relation to gender. A descriptive survey method was used, with a sample of 100 learners (50 boys and 50 girls) from Mirku Secondary School. The Adjustment Inventory standardized by A.K.P. Sinha and R.P. Singh was employed to measure the adjustment levels. The findings reveal that both boys and girls exhibit an average level of adjustment across all areas, with boys showing stronger social and educational adjustment, while girls demonstrate better emotional adjustment. The results highlight the need for gender-specific strategies to address the adjustment challenges faced by both boys and girls. The study emphasizes the importance of creating a supportive school environment, integrating activities like yoga, sports, and counselling services, and engaging parents to foster positive adjustment. The study concludes that targeted interventions can significantly improve the adjustment process, aiding adolescents in their transition from childhood to adulthood.

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Keywords: Adolescent, emotional, social and educational adjustment, Mirku secondary school.

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Creative Commons Attribution 4.0 and The Open Definition

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Cardiovascular disease (CVD) remains one of the leading causes of mortality globally, highlighting the need for early and accurate detection systems. This project presents a comprehensive approach for predicting cardiovascular disease using ensemble machine learning techniques. The system comprises an image processing module that pre processes ECG images and a machine learning module to analyze the extracted features. The image processing phase involves converting ECG images to grayscale, applying Gaussian smoothing to reduce noise, and contour detection for waveform extraction. The next phase integrates Principal Component Analysis (PCA) for dimensionality reduction, aimed at enhancing the model's efficiency by minimizing redundant data while retaining crucial features. A VotingClassifier ensemble method is then employed, combining multiple machine learning classifiers including Support Vector Machine (SVM), k Nearest Neighbors (kNN), Random Forest, Gaussian Naive Bayes, and Logistic Regression. The use of a soft voting strategy aggregates predictions based on probability scores, improving robustness and prediction accuracy. This modular architecture leverages the power of ensemble learning, utilizing ECG data to make reliable predictions. Initial results demonstrate the effectiveness of the proposed model in identifying patterns associated with cardiovascular disease. The final system is implemented using the scikit-learn and Streamlit libraries, providing an intuitive front-end for medical professionals to upload ECG images and view predictive results. This work underscores the potential of combining image processing and ensemble learning for non-invasive diagnosis of heart conditions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cardiovascular disease prediction, ECG signal processing, Principal Component Analysis, Ensemble Learning, Voting Classifier, Machine Learning, Image Processing.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper presents the design and implementation of a smart card-based door access system with an LCD. The system ensures enhanced security for restricted areas, such as banks and offices, by allowing access only to authorized users. The design leverages a contact smart card reader interfaced with a microcontroller to validate user credentials. Unauthorized access triggers an alarm system, while valid users are granted entry through a motorized door. The system is designed to be cost-effective and user-friendly while maintaining high reliability. Additionally, the system demonstrates scalability and can be adapted to include features such as IoT integration and multi-factor authentication, making it suitable for modern security needs

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The smart card-based door access system offers a practical, low-cost solution for secure access control. Its design addresses common limitations of existing systems, such as high costs and complexity, while maintaining robust security and user convenience. By leveraging smart card technology, the system provides a reliable alternative to biometric and RFID-based methods.

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Creative Commons Attribution 4.0 and The Open Definition

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Background: The Quality Of Life Of Cancer Patients Undergoing Chemotherapy Includes Assessing The Quality Of Life In Different Domains I.E. Physical, Emotional, Sexual And Psychological. Objectives: To Assess The Quality Of Life Of Cancer Patients Undergoing Chemotherapy. Materials And Methods: The Research Design Was Descriptive Methodology With 68 Cancer Patients Who Had Undergone 4th,5th And 6th Cycle Of Chemotherapy Were Selected By Convenient Sampling. The Tools Used Were The Baseline Performa And EORTC QLQ C-30 Standardized Rating Scale. The Collected Data Was Analyzed By The Descriptive And Inferential Statistics. Result: The Study Result Shown That Majority Of The Cancer Survivors (64.70%) Had Neither Good Nor Poor QOL And 19.1%Had Good Quality Of Life. Study Result Shows That Place Of Residents And Type Of Cancer Had A Significant Association With QOL Of The Cancer Survivors. Conclusion: Findings Of The Study Imply That There Is Need To Assess The QOL Of Cancer Patients Who Is Receiving Chemotherapy. This Study Helps The Health Professionals To Understand The Need Of Creating Awareness On The Quality Of Life Of Cancer Patients.

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 Keywords

quality of life; cancer patients

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Let G = (V, E) be a simple connected graph of order p and size q. If {G1, G2,......,Gn} are edge disjoint subgraphs of G such that E(G) = E(G1) ? E(G2) ? E(G3) ?.............?E(Gn) then {G1, G2, ,Gn} is said to be a Decomposition of a graph G. A graph of size q = (n + 2) is said to have a Triangular 3 decomposition (TD) if G can be decomposed into n - subgraphs {G1, G2,.....,Gn} such that each subgraphs Gi is connected and |E(Gi)| = (i + 1) for 1 <= i <= n. In this paper we investigate Triangular decomposition of 2 graphs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Triangular Decomposition, Octopus Graph, Wheel Graph, Crown Graph

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Creative Commons Attribution 4.0 and The Open Definition