Volume 13 | Issue 3 |

 Abstract

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Channel State Information (CSI), Deep learning, Wi-Fi Based Human Activity Recognition (HAR)

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Creative Commons Attribution 4.0 and The Open Definition

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As more and more autonomous and smart vehicles are used in ground transportation systems, new security problems arise. This change from operations run by people to those run by computers makes it easier for bad people to attack. As the Internet of Things (IoT) becomes more common in cars, they are always making and sharing a lot of data. Attackers can take advantage of this trend's weaknesses in complicated ways, like with Advanced Persistent Threats (APT). It is very important to be able to find APTs in vehicles that have IoT technology. To find these threats, we need better ways to do so. The urgent requirement for vehicle data privacy constrains conventional centralised Machine Learning (ML) methodologies. Also, there aren't many APT datasets available to the public in the vehicle field, which makes it harder to develop and test models. This is a big problem for cybersecurity in this area that is always changing. This study introduces an innovative Federated Deep Neural Network (FDNN) framework incorporating a privacy-preserving technique to address these challenges. The research emphasises the primary obstacles in APT detection and delineates its distinctive contributions to the domain. It talks about the research questions that are guiding the study. The UNSW-NB15, Edge-IIoTset, and CSE-CIC-IDS2018 datasets each represent a different stage of an APT attack. We use these datasets to look at and judge the framework that was made. For these datasets, the framework without the privacy-preserving technique gets APT detection accuracies of 97.32%, 96.81%, and 98.06%, respectively. But when the privacy-preserving technique is used, the framework's accuracies are 95.62%, 96.11%, and 95.63%, respectively. There are tables that show all of the results, as well as other evaluation metrics like Precision, False Positive Rate, and F1 Score. We use "Shapley Additive Explanations (SHAP)" analysis on the framework we made to find the most important features for finding APTs. This study validates the efficacy of a novel framework for identifying APTs in distributed vehicular contexts. The framework works well because it cuts down on the amount of data and the number of features. This was shown by extensive testing with several benchmark datasets. Future work will look into how well the framework can find APTs in different areas.

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Creative Commons Attribution 4.0 and The Open Definition

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Federated Learning, Advanced Persistent Threats (APT), Connected Vehicles Security, Explainable Artificial Intelligence (XAI), Privacy-Preserving Deep Learning.

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Creative Commons Attribution 4.0 and The Open Definition

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The cement industry is continuously exploring sustainable alternative fuels to reduce fossil fuel consumption and greenhouse gas emissions while maintaining clinker quality. Although several biomass fuels have been investigated, limited studies have evaluated the influence of biomass ash on clinker burnability and clinker chemistry. In the present study, Beema bamboo was investigated as a potential alternative fuel and compared with conventional coal and petroleum coke to assess its suitability for clinker production.

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Creative Commons Attribution 4.0 and The Open Definition

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Alternative fuel, coal, pet coke, Beema bamboo, moisture content, volatile matter, fixed carbon, ash content, burnability, clinker

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Creative Commons Attribution 4.0 and The Open Definition

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The purpose of the study was to examine the effectiveness of pranayama practice on the concentration levels of college students. An experimental research design was adopted for the study. A total of 40 undergraduate students from Government First Grade College, Vijayanagar, Bengaluru, were randomly selected as subjects and divided into two groups, namely an experimental group (n = 20) and a control group (n = 20). The concentration level of the participants was measured using the Two-Letter Cancellation Test developed by Kumar and Telles (2009). The experimental group underwent a structured pranayama training programme consisting of Nadi Shodhana, Bhramari, Sheetali and Sheetkari pranayama practices for a period of eight weeks, while the control group did not receive any special training. Pre-test and post-test scores were collected and analyzed using paired t-test and independent t-test. The results revealed a significant improvement in the concentration levels of the experimental group, with the mean score increasing from 34.250 to 38.900 (t = 5.28, p < 0.01). The control group did not show any significant improvement (t = 0.83, p > 0.05). The findings indicate that regular pranayama practice significantly enhances concentration level among college students. It was concluded that pranayama is an effective and practical yogic intervention for improving concentration and cognitive functioning among undergraduate students.

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Creative Commons Attribution 4.0 and The Open Definition

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Effectiveness, Pranayama, Concentration, College students

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Creative Commons Attribution 4.0 and The Open Definition

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Desertification and desert spreading are two different terms. Desertification refers to the degradation of land in arid, semi-arid, and dry sub-humid regions caused by climatic variations and human activities while the desert expansion is the process of expanding the existing deserts in the adjoining areas due to the activities of strong winds and deforestation. In Haryana, particularly its southern and south western districts, faces increasing desert expansion due to ecological degradation, groundwater depletion, mining, deforestation, and climate change. The winds coming from adjoining State Rajasthan are loaded with sand which get settled in districts of southern Haryana resulting in spread of deserts. District Bhiwani,Charkhi Dadri and Hisar are most affected districts.

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Creative Commons Attribution 4.0 and The Open Definition

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Phyto-reclamation, desertification, desert expansion, ecological restoration, agro-forestry, hardy, native Species.

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Creative Commons Attribution 4.0 and The Open Definition

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The Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) has emerged as one of India's most important rural development and social protection programmes, significantly contributing to women's livelihood security, financial inclusion, and social empowerment. By providing guaranteed wage employment, the scheme has enhanced income security, reduced economic vulnerability, and created sustainable livelihood opportunities for rural women. Women's participation under MGNREGA has consistently exceeded the statutory requirement, highlighting its importance as a gender-inclusive employment programme.

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Creative Commons Attribution 4.0 and The Open Definition

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MGNREGA, Women's Empowerment, Livelihood Security, Financial Inclusion, Rural India, Gender and Public Policy, Social Protection, Common Property Resources, Wage Autonomy

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Creative Commons Attribution 4.0 and The Open Definition

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This study was designed to investigate the phytochemicals and antimicrobial activity of the volatile oil of the plant extract of Capparis cartilaginea. GC and GC-MS analysis of the essential oil resulted in the identification of eighteen chemical constituents representing 98.88 % of the oil. Isopropyl isothiocyanate (32.03 %), butyl isothiocyanate (24.95 %), 2-nitrilebutane (6.23 %), and isobutyl isothiocyanate (5.61 %) were the major components. The essential oil shows significant antibacterial and antifungal activity than principle components.

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Creative Commons Attribution 4.0 and The Open Definition

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Capparis cartilaginea L.; Essential oil; Antibacterial activity; Antifungal activity; GC; GC-MS; Isopropyl isothiocyanate; Butyl isothiocyanate; 2-nitrilebutane.

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Creative Commons Attribution 4.0 and The Open Definition

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Vidya Bindu Singh ke Katha Sahitya mein Chitrit Dharmik Paksh

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Vidya Bindu Singh ke Katha Sahitya mein Chitrit Dharmik Paksh

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial Intelligence (AI) is increasingly influencing social work practice by enhancing operational efficiency, supporting informed decision-making, and enabling data-oriented interventions. This paper provides a critical examination of the opportunities, ethical concerns, and professional consequences associated with the adoption of AI within the Indian context. Drawing on theoretical perspectives such as the Person-in-Environment approach and the Ethics of Care, the study explores the growing use of AI tools--including predictive analytics, machine learning, and automated systems--in areas such as welfare delivery, child protection, and mental health services.

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Artificial Intelligence, Social Work Practice, Ethics, India, Digital Practice, Algorithmic Bias, Public Policy

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Creative Commons Attribution 4.0 and The Open Definition

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Internship is a compulsory part of any teacher education programme. Internship plays a significant role in the overall development of the student-teachers (trainees). Like all other professional programmes, field engagement is an essential component of any teacher education programme. Internship has a pivotal role in the teacher education professional courses which provides a complete experience of teaching-learning environments and other day-to-day happenings of the schools in real ground situations. The aim of this study is to know the effectiveness of Internship Programme in Teacher Education Course in relation to gender, type of college, location and pedagogy

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Creative Commons Attribution 4.0 and The Open Definition

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Internship Programme, Teacher Education.

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Creative Commons Attribution 4.0 and The Open Definition