Volume 13 | Issue 4 |

 Abstract

This study explores the relationship between training and development initiatives and job performance among employees. The research examines how training influences employee productivity, job satisfaction, and skill enhancement. Using a structured questionnaire and quantitative analysis, the study assesses the effectiveness of training programs and provides insights for organizations to improve workforce capabilities. In the ever-evolving corporate environment, organizations continually strive to enhance productivity, efficiency, and overall employee performance. One of the most crucial strategies employed to achieve these objectives is investment in employee training and development. Training and development are often perceived as essential tools for fostering a skilled and adaptable workforce. Training refers to the process of equipping employees with specific skills or knowledge to perform their current job more effectively, whereas development focuses on long-term growth and preparing individuals for future responsibilities. The primary objective of this study is to evaluate how structured training programs and developmental initiatives influence employee productivity, job satisfaction, motivation, and career progression. The research employs both qualitative and quantitative methods, including surveys, interviews, and performance analysis, to gather data from employees and management across various industries. The findings suggest a strong positive correlation between effective training programs and job performance. Employees who receive regular and relevant training exhibit higher confidence, competence, and commitment to their roles. Moreover, developmental opportunities such as mentorship, leadership workshops, and career planning significantly contribute to job satisfaction and retention rates. A key insight from the study is that training and development not only benefit the individual but also contribute to organizational success. Companies that invest in employee growth tend to experience higher innovation rates, reduced turnover, and better adaptability to change. However, the effectiveness of these programs depends heavily on factors such as the relevance of the content, the methods of delivery, management support, and the integration of feedback mechanisms. Personalized and goal-oriented training programs yield better outcomes compared to generic sessions, highlighting the need for customized learning paths. In conclusion, training and development emerge as pivotal elements in enhancing job performance and achieving strategic goals. By fostering a culture of learning, organizations can empower their workforce, ensure sustained growth, and maintain a competitive edge in the global market. This study reinforces the notion that human capital is the most valuable asset of any organization, and investing in its continuous development is fundamental to success. Key Words: Work Life Balance, Performance Analysis, Training Programs

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9911077670

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Srimad Bhagavad Gita also teaches us how to accept death with joy. Among many other teachings, it teaches us to welcome death with joy, not to be afraid of it in the slightest. Srimad Bhagavad Gita teaches us how to embrace death, which is the ultimate truth. There are many verses in the Srimad Bhagavad Gita in which death is said to be an inevitable part of life and a transformative process. This physical body merges into the five elements, and the soul merges into another body. It is a ceaseless and unyielding process. It is believed that one who has understood the Gita well is freed from the cycle of birth and death.

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Srimad Bhagavad Gita, Prastanatrayi Grantha, Sanatan Dharma, Upanishads, Vedas, Vedangas, Birth and Death, Soul

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: This project utilizes ensemble learning models to predict career paths based on students' academic and skill-based profiles. By employing a combination of Random Forest and CatBoost classifiers, integrated under a stacked ensemble framework, the system provides accurate and robust predictions. The proposed approach leverages a simulated dataset comprising scores in mathematics, science, and language, alongside evaluations of coding and communication skills, to classify potential career paths across multiple fields.experimental results demonstrate that the stacked ensemble model achieves high accuracy and computational efficiency, highlighting its effectiveness in guiding students towards suitable career trajectories. Furthermore, the system incorporates validation mechanisms through cross-validation and rigorous testing to ensure reliability and adaptability. This work presents a practical application of ensemble learning in educational and career guidance, emphasizing its potential to revolutionize decision-making processes in real-world counseling scenarios

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Keywords--Stacked Ensemble, Career Path Prediction, Machine Learning, Random Forest, CatBoost

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Keywords: Gender, Identity, Resilience, Gunjan Saxena, M.C. Mary Kom, Women in Combat, Women in Sports

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Metamaterial element simulation is a common use for Complementary Split Ring Resonators (CSRR). These components act as synthetic materials with peculiar characteristics and are uniformly organized in a periodic arrangement. It must be positioned transversally in the waveguide for the CSRR to interact with the electromagnetic fields in a proper manner. Here, the CSRR structure, which is positioned longitudinally in the waveguide, is the dual of the SRR. This paper proposes a Circular Complementary Split Ring Resonator (CSRR) to lessen mutual coupling between two closely spaced planar inverted antennas. Between the two pieces is a CSRR structure. A mutual coupling decrease of almost 6 dB was attained at the resonant frequency after the design model was examined and refined using the commercial software program HFSS 15.0. It is demonstrated that the process significantly affects the antenna's efficiency and performance, particularly its bandwidth, which is expanded for X-band. Additionally, the structure has reduced mutual coupling and low loss. The findings demonstrate that at the array's operating frequency, a decrease in mutual coupling between elements is achieved. The agreement between simulation findings and experimental data is fairly excellent. The development of this suggested complementary split ring resonator metamaterial antenna by enhancing its efficiency, reliability, and range is the ultimate objective of the Giza Pyramids Construction Algorithm (GPCA).

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Mutual Coupling Reduction, Metamaterial Structure, Circular Complementary Split Ring Resonator, X-Band, Giza Pyramids Construction Algorithm

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Creative Commons Attribution 4.0 and The Open Definition

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Named Entity Recognition (NER) plays a crucial role in Natural Language Processing (NLP) by identifying key entities such as persons, organizations, locations, and numerical values in text. This research presents a multilingual NER and translation system integrating SpaCy for entity extraction, Google Translate API for multilingual conversion, and Web Speech API for voice input processing. The system follows a Flask-based backend and React.js frontend, ensuring scalability and real-time processing. This paper discusses the architecture, implementation, challenges, and performance evaluation of the system.

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Creative Commons Attribution 4.0 and The Open Definition

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Named Entity Recognition (NER), Information Extraction, Information Retrieval.

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LiDAR, which is known to be the Light Discovery and Ranging. The fashion was employed since the 1960s. Due to the advancement in technology, LiDAR is now Veritably common as a detector. robotization, husbandry, archaeology, Information technology, and quantification of multitudinous atmospheric factors all use LiDARs. The following calligraphies cover the operation of LiDAR, its colorful types, history, and colorful operations. One can also use LiDAR readings to find distances of colorful objects in space and also produce a 3D digital model of the area that LiDAR will be scrutinized over. The creation of charts by Lidar mapping is veritably extensively known moment to produce spatially accurate and detailed data over Earth's form and face structures. Advanced principles of Lidar mapping systems have brought more invention in recent times, allowing the scientists and the surveyors to explore natural as well as the erected terrain up to sizes else insolvable, of advanced delicacy and perfection, furnishing the stylish aspect of culture with reasonable cost created by mortal civilization.

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LiDAR, LASER, RADAR

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Creative Commons Attribution 4.0 and The Open Definition

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In today's digital financial systems, fraud detection models must balance high accuracy with interpretability to meet regulatory and operational demands. This paper presents a novel Explainable AI (XAI) framework that combines SHapley Additive exPlanations (SHAP) with unsupervised clustering to enhance transparency and uncover latent fraud patterns. We train a Random Forest model on a real-world credit card dataset (284,807 transactions, 492 fraudulent) and compute SHAP values to quantify feature contributions. By applying t-SNE dimensionality reduction and k-means clustering to SHAP explanations, we identify three distinct fraud typologies (e.g., high-amount frauds, identity theft indicators) that traditional methods overlook. Our approach achieves 93% precision for fraud detection while providing auditable, global interpretations of model behavior. The integration of SHAP and clustering enables financial institutions to segment risks, adapt to emerging fraud strategies, and comply with regulations like GDPR. This work bridges the gap between model explain ability and actionable fraud analytics, offering a scalable solution for ethical AI adoption in finance.

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Explainable AI, XAI, SHAP, Fraud Detection, Machine Learning, Clustering, T-SNE, Identity Theft, Credit Card Fraud

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Creative Commons Attribution 4.0 and The Open Definition

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The development of oral disintegration films (ODFs) as an alternative to conventional oral dosage forms has gained increasing attention due to their convenience and ease of administration. In this study, Ticagrelor FDFs were prepared by the solvent casting method and evaluated using in vitro studies. The prepared formulations showed a uniform distribution of the drug throughout the film and effective release when compared to other formulations by drug release study. The prepared films were found to be homogenous, yellowish in color, and flexible. The results shows that thickness, tensile strength, and the concentration of the film significantly influenced the ODF dissolution time. The surface pH of all the selected formulations was around neutral pH, indicating that there will be no irritation to the oral mucosal cavity. The folding endurance values provide important information about the mechanical properties of ODFs and can help in selecting the most suitable formulation for use. The dissolution test value comparison showed that F2 and F6 are similar in terms of drug release and F5 and F1 have very different drug release profiles. Based on the results, it can be concluded that ODFs have promising potential dosage form for the delivery of Ticagrelor, F2 and F6 were identified as most successful formulation of this study

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Solvent casting method, Ticagrelor, HPMC, in vitro dissolution test

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Creative Commons Attribution 4.0 and The Open Definition

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The advent of 5G networks has brought about significant advancements in technology, promising faster internet speeds, lower latency, and enhanced connectivity. However, the deployment of 5G infrastructure has raised concerns regarding its potential impact on human health and the environment, particularly in relation to the right to a healthy environment. This research paper explores the potential effects of 5G networks on this fundamental right, examining scientific evidence, regulatory frameworks, and socio-economic implications. Through a comprehensive analysis, the paper aims to provide insights into the challenges and opportunities associated with 5G technology in ensuring environmental sustainability and safeguarding public health. The study assesses the harmony between environmental sustainability and technological progress by looking at scientific, legal, and social aspects.

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Creative Commons Attribution 4.0 and The Open Definition

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5G networks, right to a healthy environment, environmental sustainability, public health, regulatory frameworks

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Creative Commons Attribution 4.0 and The Open Definition