Volume 14 | Issue 3 |

 Abstract

John Webster's one of the greatest revenge tragedies The Duchess of Malfi (1623) demonstrates the aspect of human nature, especially the journey of a Machiavellian villain to a man of morality. It is evident that the sudden death of the protagonist shudders the antagonist to a great extent. Is it only the death which convulses his conscience or is it the money or wage? He got metamorphosed completely that he even turned his mind from everything and uttered religious scripture. This paper will elaborately discuss and throw light on the above mentioned questions in the play. Webster's play presents the bloodshed and deaths in shocking manner specially at his contemporary time because showing murder and bloodshed on the stage was not in vogue then, that's why it was a new kind of tragedy to the audience. The character of Bosola is very unique in comparison to other antagonists, where a murderer will become an avenger which is quite unseen in any other tragedies. And finally, the metamorphosis or transformation of Bosola is also shaking the audience as well as the other characters, which is very typical to Webster's tragedy.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Death, conscience, consciousness, tragedy

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cloud computing environments generate massive volumes of data that require intelligent, adaptive processing strategies to achieve efficiency, scalability, and cost-effectiveness. This paper proposes an AI-powered framework for cloud data processing leveraging Reinforcement Learning (RL) techniques. The system dynamically allocates computational resources, optimizes workload scheduling, and adapts to real-time changes in data traffic patterns. By training RL agents on cloud environment simulations, the proposed model learns optimal policies for task distribution, load balancing, and resource provisioning. Experimental evaluations demonstrate significant improvements in throughput, latency reduction, and resource utilization compared to traditional heuristic-based approaches. The framework is validated across multiple cloud workload benchmarks, confirming its applicability to real-world enterprise and scientific computing scenarios.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cloud Computing, Reinforcement Learning, Resource Management, Workload Scheduling, Deep Q-Network, Cloud Automation, AI Optimization.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The paper seeks to carry out a Foucauldian study of Kavita Kane's Ahalya's Awakening. It examines the role of surveillance and disciplinary power in the formation of female subjectivity in the realm of mythological narratives. Through a Foucauldian study, based on the theoretical perspectives of the works of Michel Foucault on panopticism, disciplinary power, and internal surveillance, the paper seeks to understand the transformation of Ahalya from being an invisible female subject to a visible female subject. While Ahalya was depicted as a passive subject of disciplinary power in the realm of mythology, in the work of Kavita Kane, the female subject was depicted as more active, whose subjectivity was shaped by moral surveillance and patriarchal power. This paper argues that Ahalya's curse was used to restrict her physical movements and to make her a subject of surveillance. In this way, Gautama and society at large are portrayed as agents of surveillance. Importantly, this study also points out the concept of internalized surveillance, where Ahalya starts to monitor her own behaviour and becomes the very system of surveillance. However, the epiphany of Ahalya marks a significant turn in the system of surveillance. Ahalya's assertion of voice and self can be seen as a form of subversion against the very system of discipline and power. This paper, by using the Foucauldian discourse offers a new reading of the very important myth and also points out the relevance of the concept of surveillance even in the contemporary world

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ahalya's Awakening, Disciplinary Power, Female Subjectivity, Michel Foucault, Myth Retelling, Patriarchy, Surveillance.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates the performance of elastomeric bearings in offshore structures under combined static and dynamic loading conditions. The research evaluates their deformation characteristics, load-carrying capacity, and effectiveness in enhancing structural stability in harsh marine environments. Experimental testing and numerical modeling were conducted to analyze the hyper-elastic and visco-elastic behavior of rubber materials, along with the influence of embedded steel shims.The results indicate that elastomeric bearings provide significant flexibility and damping, reducing stress concentrations and improving structural response under cyclic loading induced by waves and wind. However, environmental factors such as temperature variation and material degradation were found to influence stiffness and long term performance. Comparative analysis shows that structures supported with elastomeric bearings perform better than fixed and pinned supports by offering an optimal balance between stiffness and flexibility. The study establishes improved performance criteria for stiffness and damping under operational and extreme conditions. These findings contribute to the optimization of design and material selection, enhancing the safety, durability, and reliability of offshore structural systems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Elastomeric Bearing, Offshore Structures, Load carrying capacity, Analysis, Safety, Marine Environment.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates the interaction between Human Gamma Globulin (HGG) and Tannic acid using UV-Visible and fluorescence spectroscopic techniques. UV-Vis absorption spectra indicated complex formation between the protein and ligand. Fluorescence emission spectra showed a gradual decrease in fluorescence intensity of HGG with increasing concentration of Tannic acid. Stern-Volmer analysis suggested that the quenching mechanism follows static quenching. Binding constants and number of binding sites were calculated using double logarithmic plots. Furthermore, Fluorescence Resonance Energy Transfer (FRET) analysis was performed to estimate the binding distance between donor and acceptor molecules. The results reveal strong binding interaction between Human gamma globulin and Tannic acid, forming a stable complex.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human gamma globulin, Tannic acid, UV-Vis spectroscopy, Fluorescence quenching, FRET.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's dynamic business environment, organizations are facing increasing challenges due to the gap between employee skills and job requirements. This skill gap directly affects employee performance, productivity, and overall job satisfaction. The present study aims to analyze the relationship between employee skill gap and job satisfaction. The research adopts a descriptive research design using both primary and secondary data. Primary data were collected through a structured questionnaire distributed among employees from different departments. The study focuses on identifying the extent of skill mismatch, its causes, and its impact on employee satisfaction levels. The findings indicate that a significant number of employees experience a mismatch between their skills and job requirements, leading to reduced confidence, increased stress, and lower job satisfaction. However, the study also highlights that training programs, skill development initiatives, and proper job-role alignment can significantly improve employee satisfaction. The study concludes that addressing the skill gap is essential for enhancing employee performance, reducing turnover, and improving organizational effectiveness.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Skill Gap, Job Satisfaction, Employee Performance, Training, HR Development

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines the effectiveness of Artificial Intelligence (AI)-based training in the Educational Technology (EdTech) sector. With the rapid integration of AI into digital learning platforms, training systems have become more personalized, adaptive, and data driven. The research focuses on evaluating how AI-based tools such as adaptive learning systems, chatbots, automated assessments, and learning analytics influence learning outcomes, engagement, skill development, accessibility, and productivity. A descriptive research design was adopted, and primary data was collected through a structured questionnaire. The findings indicate that AI-based training significantly enhances conceptual understanding, knowledge retention, technical skills, and learner engagement. It also provides flexibility and user-friendly learning experiences. However, the impact on soft skill development is comparatively moderate. Overall, the study concludes that AI-based training is an effective and efficient approach in modern education, contributing to improved performance and continuous learning. The study highlights the growing importance of AI in shaping future learning systems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial intelligence,Edtech,AI-Based training, learning effectiveness, Personalized learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The role of women education and women empowerment in India was evident from Ancient period. For ages Many women educationist has contributed in the development and progression of the country. In 20th century, particularly after independence many famous women educationist, philosopher had participated and contributed in social and educational reform and played an important role in it, Indira Miri was among them, who became the representative of North eastern India for the upliftment of the backward classes of the society, development of women education in the society and generated awareness about the fundamental rights of each individual. Her role as an education officer in NEFA has inspired millions of woman of the country. She led to various changes in the upliftment of the remote culture and thinking of the backward class of the society and thus resulted in present Day's Assam. She imparted education and its importance in various sections of Assam and inspired people to take up dialects as their mode of instructions. She was also a social reformer who worked and uplifted the widow section of the society. Based on her Auto-biography MOI ARU NEFA (I AND NEFA) ,in this article we will discuss about her grown up stages, her contributions towards society, its result and her achievements which recognised her as an inspiring activist who contributed her life for the country.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Women Empowerment, NEFA, Women Education, Backward Class

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Traditional disaster response mechanisms often struggle with fragmented data, isolated information, and delayed situational awareness. These issues directly lead to more loss of life and economic damage. This paper presents an integrated AI-driven framework called "Crisis_Ai." It aims to improve the four key areas of disaster management: mitigation, preparedness, response, and recovery. Using a multi-modal fusion approach that combines high-resolution satellite imagery, real-time social media data, and emergency acoustic feeds, the system provides automated damage assessment and urgency prioritisation. We explain the use of Convolutional Neural Networks (CNNs) for geographic segmentation of disaster areas, Long Short-Term Memory (LSTM) networks for audio-based distress detection, and Transformer-based Large Language Models (LLMs) for crisis informatics and scenario generation. Our research shows that combining these models significantly decreases the "Time-to-Alert" and improves resource allocation in high-stress situations. Experimental results, shown through a MERN-stack dashboard, reveal a 40% increase in classification accuracy compared to single-modality systems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Disaster Management, Generative AI, CNN, LSTM, Multi-modal Fusion, Crisis Informatics, MERN Stack, GIS, Predictive Analytics.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates the interaction between Human Gamma Globulin (HGG) and Chlorogenic acid using UV-Visible and fluorescence spectroscopic techniques. UV-Vis absorption spectra indicated complex formation between the protein and ligand. Fluorescence emission spectra showed a gradual decrease in fluorescence intensity of HGG with increasing concentration of Chlorogenic acid. Stern-Volmer analysis suggested that the quenching mechanism follows static quenching. Binding constants and number of binding sites were calculated using double logarithmic plots. Furthermore, Fluorescence Resonance Energy Transfer (FRET) analysis was performed to estimate the binding distance between donor and acceptor molecules. The results reveal strong binding interaction between Human gamma globulin and Chlorogenic acid, forming a stable complex.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human gamma globulin, Chlorogenic acid, UV-Vis spectroscopy, Fluorescence quenching, FRET

  License

Creative Commons Attribution 4.0 and The Open Definition