Volume 14 | Issue 4 |

 Abstract

The Freedom Fighters of Undivided Chitradurga District: 1800-1947 explores the remarkable yet often overlooked contributions of Chitradurga in India's struggle for independence. Situated in central Karnataka, the district was home to a diverse array of freedom fighters, ranging from the valiant Nayaka rulers who resisted early British annexation to local reformers, peasant leaders, and activists inspired by the Indian National Congress. Over nearly one and a half centuries, these individuals participated in armed uprisings, civil disobedience, and non-violent movements, reflecting the region's enduring spirit of resistance. Their efforts not only challenged colonial authority but also fostered political consciousness and social reform among the local populace. By documenting the lives, struggles, and achievements of these fighters, this study highlights Chitradurga's significant role in shaping Karnataka's and India's broader nationalist history, emphasizing the interplay between local leadership, grassroots mobilization, and the pan-Indian independence movement.

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 Keywords

Chitradurga, Freedom Fighters, Indian Independence Movement, Nayaka Rulers, Peasant Uprisings, Civil Disobedience, Quit India Movement, Non-Violent Resistance, Local Leadership, Colonial Resistance

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Abstract: The emotional stability of trainee teachers significantly impacts their teaching performance and personal well-being. This research explores how emotional adjustment varies among trainee teachers, focusing on gender differences and self-efficacy levels. Data was collected from 700 trainee teachers across multiple teacher training institutions. Data were collected from B.Ed Colleges by using standardized questionnaire. The tool used for 'Teachers adjustment inventory scale' was developed by Singh and Sinha 2018. Teacher's Self-Efficacy scale by Sood and Sen (2017). Key findings indicate female prospective teachers have superior 'Emotional Adjustment' as compared to male prospective teachers. Gender (A) and self-efficacy level (B) of prospective teachers has a significant joint effect on 'emotional adjustment'. The study underscores the need to foster emotional resilience and self-efficacy in trainee teachers to boost their teaching effectiveness.

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 Keywords

: Emotional Adjustment, Self- efficacy, Prospective teachers, Gender

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Academic stress has been a major problem among college students, and it tends to result in psychological distress including depression and anxiety. This paper looks at the connection between academic stress, social support and mental health outcomes in college students, as well as whether social support is a buffering variable. It was based on the quantitative correlational research design, and 150 students of the college aged 18-25 took part in the study using standardized tools, such as the Academic Stress Scale, Multidimensional Scale of Perceived Social Support, Beck Depression Inventory, as well as Generalized Anxiety Disorder Scale.

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 Keywords

Academic stress, Social support, Depression, Anxiety, College students

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 Abstract

This research presents the design and implementation of an AI-powered data analysis chatbot that enables users to interact with structured datasets using natural language queries.

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 Keywords

Artificial Intelligence, Data Analysis, Chatbot, Local LLM, Django, RAG, Pandas, Natural Language Processing

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Creative Commons Attribution 4.0 and The Open Definition

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Employee attrition is a big problem for companies around the world, causing issues with how they run and manage their money. Traditional machine learning methods work to some extent, but they usually don't offer enough accuracy or clarity to be useful in making real-world decisions about human resources. This paper introduces a framework that uses a neural network and includes SHAP analysis to predict and explain why employees leave, based on the IBM HR Analytics dataset. The model uses specially designed features, balances the classes with SMOTE, and applies dropout regularization. The system's results show it is correct about 82% of the time, has a ROC-AUC score of 0.73, finds 57% of the actual cases, and has an F1-score of 50%. SHAP analysis shows that working overtime, how much money someone makes each month, and how happy they are with their job are the top factors that predict if someone will leave their job, giving HR managers useful information to take action

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 Keywords

Employee Attrition Prediction, Neural Networks, SHAP Explainability, Human Resource Analytics, Imbalanced Classification

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: This study examines the effectiveness of digital learning platforms in IT companies with respect to employee training, skill development, and productivity. The research adopts a descriptive research design and collects primary data through a structured questionnaire from 120 IT employees. Statistical tools such as frequency and percentage analysis, reliability analysis, and crosstab analysis are used to interpret the data. The findings indicate that digital learning platforms significantly improve employee skills, enhance productivity, and provide flexible learning opportunities. However, challenges such as technical issues, lack of time, and limited interaction affect learning effectiveness. The study concludes with recommendations to improve usability, personalization, and engagement in digital learning systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Learning, Employee Training, Learning Management, E-learning, Skill Development.

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Creative Commons Attribution 4.0 and The Open Definition

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The provision of care to patients that live far away or are old-age continues to be an immense challenge from a logistics perspective. For this study, we have developed a localized version of the HealthCare Lite system, which will monitor patient vitals through the use of the ESP32-WROOM-32. This includes the use of the DS18B20 to monitor body temperature, the MAX30105 to monitor blood oxygen levels and heartbeat, and the AD8232 to detect ECG signals. The MPU6050 will be used to detect falls. All this information will then be transmitted to Firebase and, in case of emergencies, the SIM800L will send text messages.

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 Keywords

IoT, ESP32, Health Monitoring System, Wearable Sensors, Heart Rate Monitoring, SpO? Measurement, ECG Signal Processing, Temperature Sensing, GSM Communication, Wireless Sensor Network

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Communication Signal Intelligence(COMSIGINT) involves the interception, processing, and analysis of communication signals such as radio frequency (RF), wireless transmissions, radar signal s, and satellite communications. Traditional machine learning approaches in this domain rely heavily on labeled datasets, which are often scarce, expensive, and impractical to obtain due to the complexity and dynamic nature of communication environments. Self-Supervised Learning (SSL) has emerged as a powerful paradigm that enables models to learn meaningful representations from large volumes of unlabeled data. This paper presents a comprehensive study of SSL techniques applied to communication signal intelligence, including contrastive learning, autoencoders, and predictive modeling. Furthermore, the paper discusses system architectures, practical applications, advantages, challenges, and future directions. The results indicate that SSL significantly enhances scalability, adaptability, and performance in modern signal intelligence systems

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Self-Supervised Learning, COMSIGINT, RF Signals, Representation Learning, Contrastive Learning, Autoencoders, Signal Processing.

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Creative Commons Attribution 4.0 and The Open Definition

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The rapid progression of electric vehicles (EVs) in the transportation sector poses a potential challenge of increased peak energy demand on existing grid structures. Consequently, the significance of V2G power conversion technology becomes paramount in managing sudden surges in energy requirements. To address this issue, the authors propose a "Bidirectional Converter Based on V2G and G2V Operation" which focuses on facilitating energy transfer between vehicles and the grid through bidirectional converters, catering to both V2G and G2V operations. In this work, the authors analyzed a bidirectional buck-boost converter interface with an H bridge AC/DC converter together with the related control method in a reduced topology. The efficiency of the developed system is evaluated with the help of a developed simulation model in MATLAB/SIMULINK..

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 Keywords

Bidirectional Battery Charger, Grid-to-Vehicle (G2V); Vehicle-to-Grid (V2G); Vehicle-to-Home (V2H), Electrical vehicles, AC- DC convertpr , DC-AC convertor, Matlab/Simulink

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Creative Commons Attribution 4.0 and The Open Definition

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The present study aims to investigate the parents and students' attitude towards the implementation of punishment-free zone at the Primary level schools. A descriptive survey method was used for the present study. For the present study 51 Parents (male, female & rural, urban) and 50 students of Balangir district were selected purposively as sample of the present study. The data collected from the parents was analyzed and interpreted by SPSS while the students' data were analyzed by the simple percentage according to their response. The findings showed that there is no significant difference between male and female parents & rural and urban parents because pain is pain for all and fear is fear for all. All these students were treated equally and there are other methods that can build confidence and discipline without using physical punishment among students

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords- Punishment-free zone, Attitude of parents and students, Elementary Level, Punishment

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Creative Commons Attribution 4.0 and The Open Definition