Volume 13 | Issue 4 |

 Abstract

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

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Spirituality and emotion regulation are essential elements of psychological health, each playing an important role in mental wellness. Spirituality, which can be described as the pursuit of meaning, transcendence, and a connection to something larger than oneself, positively impacts emotional processes. Emotion regulation, involving the strategies employed to manage emotional responses, includes constructive techniques like cognitive reappraisal and unhelpful ones such as emotional suppression. This review examines the expanding research surrounding the relationship between spirituality and emotion regulation, highlighting how spiritual beliefs and practices promote healthier emotional processing. The relationship is complex, though, and some spiritual beliefs may be a factor in maladaptive regulatory habits like suppression or shame, which shows that the effects of spirituality on emotion regulation are not universally positive. Evidence indicates that spirituality strengthens emotional resilience by fostering mindfulness, acceptance, and cognitive restructuring, helping individuals handle stress and negative emotions more effectively. Additionally, research shows that people with higher degrees of spirituality are more likely to use adaptive emotion regulation techniques, contributing to better psychological health and overall well-being. All things considered, spirituality is a useful yet intricate component of emotion regulation,

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Spirituality, Emotion Regulation, mindfulness, Cognitive Reappraisal, Psychological well-being.

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The Bhagavad Gita, an integral part of the Mahabharata, has had a profound influence on literary traditions across cultures. This research paper examines the philosophical and spiritual impact of Western literature, with a particular focus on T.S. Eliot's modernist poetry. The study highlights how the Gita's central themes--such as spiritual desolation, moral duty, self-realization, and the cyclical nature of time--resonate within Eliot's seminal works, The Waste Land and Four Quartets. Scholars, including Tasmiyah Ahmed, Rajib Majumdar, and Shikha Shukla, have examined how Eliot integrates Gita-inspired notions of detachment, existential struggle, and divine realization into his poetry. Comparative analyses reveal striking parallels between Arjuna's moral crisis and Eliot's portrayal of a fragmented, spiritually barren world seeking redemption. Additionally, this paper investigates the influence of Hindu philosophy on English Romantic poets, such as William Blake and Samuel Taylor Coleridge, emphasizing how the Gita's doctrines of emanation, reincarnation, and divine unity shaped their poetic expressions. Through a critical engagement with these literary influences, this study underscores the enduring relevance of the Bhagavad Gita in shaping philosophical discourse within Western literature.

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Bhagavad Gita, T.S. Eliot, Modernist Poetry, Philosophical Influence, Western Literature, Spiritual Crisis

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Priority-Based Traffic Signal System optimizes emergency response times by reducing the delays typically caused by urban traffic congestion. By utilizing real-time data, it adjusts traffic signals in real-time, ensuring that ambulances have a clear route by turning signals red at intersections. This system, designed to address critical delays, has the potential to save lives and could be further enhanced as it is expanded to larger areas.

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IoT, Emergency Response, Traffic Management, Real-Time Data Processing, traffic flow clearance System, Ambulance Priority, Smart Cities.

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Creative Commons Attribution 4.0 and The Open Definition