Volume 11 | Issue 9

 Abstract

Today it is more crucial than ever that secondary school students are academically prepared to compete for knowledge and technology based jobs. Imbrosciano and Berlach (2003) have remarked that success may be viewed in three main domains intelligent, or well behaved, or academically successful. Goleman (1995) gave a short of answer when he asserted that success depends on several intelligences and on the control of emotion. According to him intelligence account for only 20% of the total success, and the rest goes for Emotional and Social intelligences. Therefore the investigator tried to study the emotional intelligence of secondary school students in five dimensions with 50 items. 'Emotional Intelligence scale was developed by Kumari and Sharma (2014). The mean scores of Male and Female secondary school students were obtained on all the five dimensions mentioned in the study and it was concluded that there is a no significant difference between Male and Female secondary school students on the all five dimensions of emotional intelligence.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emotional Intelligence & Gender

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Phishing attacks continue to be a significant cyber-security concern, targeting individuals and organizations worldwide. As phishing techniques become increasingly sophisticated, conventional rule-based methods struggle to keep pace with the evolving threat landscape. To address this challenge, Machine Learning (ML) has emerged as a promising approach for detecting phishing emails effectively. In this work, we propose a phishing email detection system that leverages Machine Learning algorithms to automatically analyze and identify malicious emails from legitimate ones. This research involves building a comprehensive dataset consisting of labeled examples of both phishing and legitimate emails and extracting relevant features from email content and metadata. We use supervised learning techniques such as Support Vector Machines (SVM), Decision tree and Random Forest to train and fine-tune our detection models.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Phishing, Email detection, Support Vector Machines (SVM), Decision tree, Random Forest, Machine Learning.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This Paper delineates the real time tracking of driver drowsiness using CNN algorithm. Drivers may get drowsy due to long hours of travelling, lack of sleep,fatigue.This may lead to fatal accidents if not considered solemnly. So there must be continuous tracking of drivers State by the Driver Drowsiness Detection System that whether he is in normal circumstances to drive so that the if anything erroneous is detected driver will be alerted and accidents can be avoided.Transportation Safety is increased

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Driver,Accidents,Drowsiness Detection , CNN, ROI, Image, score, deep learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The right to health has inherent characteristics and qualities. It is crucial to the pursuit of justice and is a prerequisite for the realization of other rights. The first objective of the paper is to have a historical and theoretical overview of understanding and contemporary concepts of health and the right to health. The second objective of the paper is to track the shifting place of the international right to health and human rights-based approaches to health in the scholarly literature and United Nations.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Health, human rights, international law, right to health.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The majority of metropolitan India's buildings are made on Reinforced Concrete (RC) frames. Throughout their service lives, these are subjected to a variety of stresses, including static forces from dead and live loads and dynamic forces from earthquakes. This research compares the Response Spectrum analysis of two different earthquake-damaged reinforced concrete buildings. In this research, an ETABS (Extended Three-Dimensional Analysis of Building System)-based Response Spectrum analysis was performed on a G+8-story reinforced concrete building. The Indian Building Codes (IS 875 parts 1, 2, 3, 5, and 1893) are used to calculate the allowable load. Dynamic (response spectrum) analysis outcomes are presented in this study, including displacement, Storey shear, and overturning moment.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ETABS, Response Spectrum analysis

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: This study considers the gender and caste inequality that exists among every region, social class and prevents the growth of Indian education systems. The reality of gender inequality and caste of higher education in India is very complex and diversified, because it exists in every field like education, employment opportunities, income, health, cultural issues, social issues, economic issues etc. An attempt has been made to find out those factors which are responsible for this problem in Indian education systems. So, this paper highlights the multi-dimensional circumstance of gender and caste, rural and urban inequalities prevalent in Indian education systems. Overall, the study indicates the inequality in economic, social, cultural and legal biasness which are of a great challenge for policy-makers and social scientists to establish proper equality in the entire social field. The researchers have tried to suggest some relevant strategies and policies implication for reducing this gender and caste inequality and to promote the dignified position for Indian gender and caste.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Higher education, Gender, Caste, inequality

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The recently released National Education Policy 2020 shows an encouragingly promising perspective for the future. It represents a comprehensive framework for transforming the country's education system. The plan incorporates many fundamental changes to the education sector with a view to making India a knowledge-based powerhouse. This research paper aims to conduct an in-depth analysis of the NEP 2020, focusing on its strengths, weaknesses, opportunities, and threats. By examining these factors, the study intends to provide a critical analysis, provide an overview of the policy, and shed light on its potential implications for the Indian education sector. This research paper employs a qualitative approach through document review to provide insights into the Indian National Education Policy (NEP) 2020. The study examines the NEP's key features and objectives, shedding light on its implications for the education system. Investigative outcomes demonstrate that the NEP 2020 emerges as a comprehensive and ambitious policy document, poised to enact transformative changes within the landscape of Indian education. This research paper provides a comprehensive overview of the Indian National Education Policy (NEP) 2020. It examines the key principles, objectives, and structural changes introduced by the NEP in the Indian education system. The paper discusses the policy's emphasis on holistic and multidisciplinary education, the integration of technology, and the promotion of critical thinking and creativity. It also explores the potential challenges and opportunities associated with implementing the NEP at various levels. Through a thorough analysis of policy documents, scholarly literature, and expert opinions, this paper offers valuable insights into the NEP 2020 and its potential implications for the future of education in India. However, the implementation of NEP 2020 will be a complex and challenging task, and it is not clear whether the Indian government has the political will and resources to implement it in full. Therefore, the conclusion of the study is that, however, it's important to note that the successful implementation of any policy depends on various factors, including government commitment, effective execution, and collaboration with stakeholders.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

National education policy 2020, critical analysis, overview.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

INTRODUCTION: The birth of a child is a joyous occasion filled with great anticipation. The first minute after birth, on the other hand, is filled with anxious moments and rapid physiological adjustments. The majority of newborns make the transition successfully as a matter of course. However, 10% of them may need to be modified. When they are critically ill, they require advanced medical care. Mechanical ventilation is a common therapy in sub acute and long-term care settings and is routinely required for the critically ill in intensive care units. The primary goals of mechanical ventilation assistance are to restore normal arterial blood gas levels and acid-base balance by ensuring proper ventilation and oxygenation. AIM: To assess the knowledge regarding paediatric ventilator care among B.sc 3rdand 4th yearsNursingstudents.Materials And Methods: The research approach used for the study is non- experimental Comparative research design. The sample of the study is taken by non probability purposive sampling technique with 100 (50-50) B.sc 3rdand 4th yearsNursingstudents,svims, tirupati. The data collection done in the period of 20- 08-2022 A self structured questionnaire was used to collect the data consist of 30 multiple choice questions. The data analyzed statistically. Mainly chi-square was used for data analysis. Results:The major findings of the study was out of 50 selected B.sc 3rdand 4th yearsNursingstudents, svims, Tirupati,Out of 50Bsc nursing 3rd year 26(52%) had moderate knowledge on pediatric ventilator care , out of 50 Bsc nursing 4th year students 27(54%) had moderate knowledge on pediatric ventilator care. There is no statistical significant association with the knowledge regarding pediatric ventilator care. The comparison of knowledge scores regarding pediatric ventilator care among bsc nursing 3rd year and 4th year students among 3rd year bsc nursing students mean were 19.7 , standard deviation were 2.967 and standard error were 0.419. among the bsc nursing 4th year students mean were 21.28, standard deviation were 3.387, and standard error were 0.479 among all the bsc nursing 3rd and 4th year students the t value were 2.482.CONCLUSION:The study shows the knowledge regarding pediatric ventilator care among bsc nursing students were having moderate knowledge. Based on the providing information booklet was given to all the students to improve the level of knowledge.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ventilator,pediatric ventilator care, knowledge

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper, the work basically deals with the modelling of propeller blade of an aircraft. A propeller blade is a complex 3D geometry, the model is going to be prepared using CATIA. Propeller blades are shaped much like an wing of an aircraft using rotation power of an engine rotates the propeller blades produce lift which moves the aircraft forward. Digital twin is used in manufacturing automotive or aerospace industries, with the help of digital twin technology various sensors are fixed to the propeller blade to create a virtual copy to simulate it in real time for different conditions. CFD analysis is done using STAR CCM + software all the data generated is used for preparation of the model.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

PROPELLER BLADE , CFD, STAR CCM+

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Chyawanprash, a time-honored Ayurvedic health supplement, has earned a reputation for its potential to enhance overall well-being. In light of its popularity and the growing interest in traditional remedies, a rigorous evaluation process has become essential to ensure the safety and quality of this ancient elixir. This comprehensive study was meticulously designed to scrutinize Chyawanprash across multiple dimensions, leaving no stone unturned in the quest for assurance and efficacy. The primary objective of this research was to assess the quality of Chyawanprash through a battery of crucial evaluation tests. These tests covered a wide spectrum of parameters, including sensory attributes, microbiological safety, heavy metal content, pesticide residues, chemical composition, nutritional profile, stability over time, and shelf-life validity. The essence of Chyawanprash lies in its balanced blend of herbs and natural ingredients, each contributing to its potential health benefits. Through analytical techniques, we confirmed that key components like vitamin C from Amla were present as per specifications. Furthermore, microbiological and safety tests ensured that Chyawanprash was free from harmful microorganisms, heavy metals, and pesticide residues. Stability and shelf-life assessments reassured consumers that Chyawanprash retains its quality and efficacy throughout its recommended storage duration. In conclusion, this comprehensive evaluation underscores the commitment to quality, safety, and the time-honored tradition of Chyawanprash, positioning it as a reliable Ayurvedic supplement for those seeking a holistic approach to well-being.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ayurveda, Chyawanprash, Traditional Medicine, Health Supplement, Safety Evaluation, Quality Assurance

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Strategic Management Journal as an academic publication specialized in the discipline of strategic management. It provides a description of its birth and evolution, mission and scope, and the editors responsible for its development over time. Moreover, the article analyses some key aspects of the journal such as its main statistical data, the role in the development of the discipline, its importance and impact in the context of the broader field of management, and its growing international profile as it became global publication. Finally, the article describes the history of the SMJ Best Paper Prize in recognition of the most outstanding papers published .

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Joel bessis

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Linked Feature Set with Enhanced Logistic Regression for Online Payment Fraud Classification

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Classification Enhanced Logistic Regression. Feature Subset, Fraud Detection, Machine Learning, Online Payment system

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The recognition and early prevention of leaf diseases in time is very essential for improving the crop production. Convolutional Neural Networks are widely used in autonomous driving, computer vision, and medical imaging. Different deep learning models are proposed by the researchers for detection of diseases in plants. A novel CNN model is implemented in this paper to identify and diagnose plant diseases.The standard CNN model requires a huge number of parameters, computation cost is high and also the training time is more. Standard convolution is replaced with the depth wise separable convolution in order to minimize the number of parameters and computation cost. The implemented model is tested on the leaves of tomato crop in plant village dataset. The implemented CNN model attained classification accuracy rates of 98.45%,98.52%,99.05%,99.34%,99.46%,99.60% using standard inception V3, ResNet101V2, modified inception V3, EfficientNetB0, ResNet 50V2 and DenseNet121 respectively. The implemented DWCNNmodel has taken less number of parameters and achieved better performance when compared with other deep learning models with reference to accuracy.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Plant diseases, Deep learning, point wise convolution, convolutional neural network, depth wise convolution, transfer learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Silent spring is an ecological work by Rachel Carson and it describe about the dangers of the Pesticides on the environment

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Birds life, Plant life, Pesticides

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper situates itself as an attempt at exploring the rich cultural heritage embedded within the Naga folklores. It is built upon the premise that the Nagas had a strong sense of connection with nature and that this connection permeated almost all aspect of Naga way of life. This paper specifically looks at the interface between Religion and Nature as embodied by the rich folklores. To supplement and support its claim, the paper attempts at a close reading of a poem titled "Shusie Aneipfu" and translated as "My Fair Beloved" which is a retelling of a Tenyimia folklore in the form of a love ballad.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Religion, Nature, Folklore and Oral Tradition

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The concept of emotional intelligence has been developing since early 20th century with Thorndike introducing the concept of social intelligence. It has gained importance as organisational leaders have learnt that emotional intelligence leads to success and growth of the organisation. This has led to significant research efforts towards defining, understanding, and measuring emotional intelligence. Several models are developed to explain emotional intelligence and there is a need to synthesis these and present the evolutionary path of emotional intelligence. The vital milestones in the development of emotional intelligence concept which have led to the present time emotional intelligence models are chronicled by reviewing the literature.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

emotional intelligence, emotions, evolution, EQ, social intelligence

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This article's main goal is to clarify some of the problems with digital filmmaking and identify the effects of digital technology on the filmmaking process. This study examines the evolution of filmmaking techniques throughout cinematic history and examines the significance of the digital revolution. The study explores how film may thrive in the digital age and considers if the current situation is fundamentally different from the uncertainties surrounding the birth of cinema. To provide a current, correct, and unbiased consideration of the subject, this research utilizes a variety of websites, screenings, and textbooks. It should be emphasized that as the author of this piece, I have a background mostly in audio and video production, having earned a postgraduate degree.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Filmmaking, Digital Technology, Photography, Production, Pre-Production, Post-Production etc.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

o The purpose of this research is to give a brief overview about career development because many organizations and employees find it challenging to develop an effective career development strategy. This research addresses career and career development definitions, career development components, process and strategies. It also addresses the career management model, finalizing with recommendations for organizations and employees and a conclusion2

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

'transitory careers' and 'spiral careers'. Transitory careers

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Lung cancer continues to pose a significant global health threat, with over 1.15 million new cases diagnosed worldwide, making it the leading cause of cancer-related deaths. While smoking remains the most prominent risk factor for lung cancer, it is crucial to recognize that this disease can also affect individuals who have never smoked. This project introduces a comprehensive framework designed to predict lung cancer at an early stage, offering a ray of hope for individuals facing this life-threatening condition. The framework primarily focuses on the realm of computer science, with machine learning as its cornerstone. Leveraging extensive datasets, we meticulously preprocess the data and employ advanced techniques for feature extraction, including Multi-level Discrete Wavelet Transform, Principal Component Analysis (PCA), and Gray-level Co-occurrence Matrix (GLCM). These texture features serve as critical input for our machine learning classification algorithms. Our system utilizes a range of machine learning classifiers, including Support Vector Machines (SVM), Random Forest, and Artificial Neural Networks (ANN). These classifiers are trained on the extracted features, enabling the system to distinguish between different types of lung cancer. Specifically, we address the classification of non-small-cell lung cancer (NSCLC), with further subcategorization into lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD), which together constitute approximately 85% of lung cancer cases. Through rigorous evaluation, encompassing essential parameters such as accuracy, recall, and precision, we assess the performance of each classification algorithm. The results obtained empower us to predict whether a given tumor is benign or malignant, facilitating early intervention and treatment. This innovative framework offers a promising avenue for the early detection of lung cancer, potentially saving countless lives. By harnessing the power of machine learning and data analysis, we aim to enhance the prognosis and management of lung cancer, ultimately contributing to a brighter future for those affected by this devastating disease.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Lung Cancer, Machine Learning, Multi-level Discrete Wavelet Transform, PCA, GLCM, SVM, Random Forest, ANN, KNN

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: In last few years most of the applications are using Python for development because it supports multiple programming paradigms, provides a large collection of comprehensive standard libraries and Embedded Librarie. It is a High level programming language, Platform independent, dynamically typed, Portability, procedure oriented, Object oriented Language. We can build python application which help data analysts to analyze large amounts of data for scientific computing and machine Learning applications which enables computers to learn automatically from past data. In this paper, I explored all the built-in libraries to develop different computer science application such as Image Processing, Data Science, Data Visualization, Cloud Computing, Machine Learning, Deep Learning, Natural Language Processing, Speech recognition, etc. And also, different frameworks for Python which can make the front-end work easier are also mentioned

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Python, frameworks, Data Science, Artificial Intelligence (AI), Machine Learning, Deep Learning, Image Processing, Data Science, Data Visualization, Cloud Computing, Machine Learning, Deep Learning, Natural Language Processing, Speech recognition

  License

Creative Commons Attribution 4.0 and The Open Definition