Volume 13 | Issue 4

 Abstract

Acute otitis externa is a generalized condition of the skin of the external auditory canal that is characterized by general oedema, pain and erythema. It can present as diffuse or localized form of inflammation of external auditory canal. Otorrhea, also known as ear discharge, is a common symptom of otitis externa. This condition, which includes inflammation, can be caused by issues in the external ear canal or a perforated tympanic membrane. Otorrhea is a sign of infection and is typically treated with antimicrobial agents to combat bacterial and fungal infections. The Gomayadi varti for karnadhoopana and Triphala Guggulu for shaman chikitsa are formulation mentioned in the Ayurvedic text can be a good option for the treatment of various infectious diseases. Karnasrava is a type of ear condition known as Vata predominant Tridoshaja disease and it's totally treatable. The term Karnasrava simply means a discharge from the ear. Karnasrava covers a range of ear problems and shares similarities with otitis externa based on signs and symptoms. The Gomayadi varti for karnadhoopana and Triphala Guggulu exhibited significant antibacterial, antifungal and anti-inflammatory activity in acute otitis externa. A 40year-old male patient was clinically diagnosed as Karnasrava (Otitis externa) and advised Gomayadi varti karnadhoopana and Triphala Guggulu as internal medicine for 7 days. The signs and symptoms were reduced to mild degree.

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Acute otitis externa, Gomayadi Varti, Triphala Guggulu, Karnastrava, Karnadhoopana, case study

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Abstract The article explores the themes of oppression, resilience, and human capacity for survival as depicted in Nadia Hashimi's novel A House Without Windows. The novel delves deeply into the life of the female protagonist Zeba, who is accused of murdering her husband. Through the portrayal of her life, Hashimi delves into the intricacies of the patriarchal and stereotypical Afghan society. The novel depicts how the female characters in the story are tortured under oppressive gender norms and how they struggle for justice within a corrupted and prejudiced legal system. Despite the societal boundaries imposed upon Zeba, she refuses to yield to desolation and despondency. She finds solace and strength in the ties she forms with her fellow inmates in the prison, who share their stories of misery, resilience, and hope. Through the depiction of the resilient female protagonist Zeba, Hashimi explores the strength and courage of Afghan women to challenge societal expectations. Her journey is a testament to the power of unity and the transformative power of collective struggle in the face of repression. The novel also sheds light on the problems of universal injustice and exploitation within Afghan society. It highlights the need for reform to address the actual causes of oppression and inequality. By challenging boundaries and flouting the shackles of oppression, Zeba's story serves as a powerful reminder of the enduring strength of the human spirit.

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Keywords: oppression, resilience, inequality, empowerment, self-discovery.

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Cyperaceae is a considered one of the most broadly dispensed species within the global. Cyperus rotundus especially observed in Estern, Asia, Africa, Pacific, Europe, and India. The plant reproduces through seed and rhizomes and tubers. The extent of reproduction is pretty speedy underneath hot and moist circumstance. Cyperus rotundus has been extensively used inside the moisturizer and soothing houses and enhance hair texture and manageability. The good plant combines with other plants, releasing many of the toxins found in the basal seed or tuber. All Cyperus rotundus used in cosmetics such ointments, oils, powders, creams an?l lip balms are extracted from the Cyperus rotundus plant. There are many plants that contribute antioxidants. Many of the poisons present in the base seed or tuber are released when the good plant mixes with other plants. The Cyperus rotundus plant is the source of all Cyperus rotundus used in cosmetics, including ointments, oils, powders, creams, und lip balms. Plants are a great source of antioxidants. Overconsumption of this extract may result in gastrointestinal issues, allergies, and other adverse effects like headaches, exhaustion, and dizziness. Cyperus is a plant that is frequently used in traditional medicine for pain relief, inflammation, and calming tea. Cream and Hair Treatment It is also referred to as Nagarmatha, and it contains a variety of medical qualities, including the ability to reduce inflammation and release antibiotics and other inflammatory chemicals from the body..

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Cosmetic, Allied species, growth conditions

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Lauramidopropyl dodecyl ammonium bromide (LAPDDAB) has been modelled and subjected to analyse the ADME properties using SwissADME web tool. It can be produced to operate as a medicine as it exhibits two promising factors, GI absorption and BBB permeability, along with a decent bioavailability score and worthy synthetic accessibility.

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Quaternary ammonium salts, antimicrobial activity, ADME properties, SwissADME and drug discovery

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Pneumonia is a leading cause of illness and mortality worldwide, especially among elderly populations and children aged below five. Every year, an estimated two million deaths were caused by pneumonia, with children aged below five years contributing twenty-three percent of these deaths. India accounts twenty-three percent of all pneumonia cases worldwide. In order to lower the death rate, early and correct diagnosis is important, especially in situations where there is limited access to healthcare services. In low-resource settings, interpretation of chest X-rays, a standard diagnostic tool for pneumonia, is mostly left to radiologists. We present a Vision Transformer system that uses Adam optimizer to enhance efficiency and accuracy for the automatic detection of pneumonia from chest X-ray images.

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pneumonia, Vision Transformers, chest X-rays, CT scans, Adam optimizer.

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This study investigates consumer preferences for online and offline shopping in the fast-moving consumer goods (FMCG) sector using a quantitative approach supported by response surface methodology (RSM). Key factors influencing shopping behavior, such as convenience, pricing, product availability, and customer experience, were quantified through structured data analysis. A total of 150+ respondents participated in the study, and their responses were analyzed using RSM to model the relationship between independent variables (age, income level, and shopping frequency) and dependent responses (online, and offline convenience preferences). The results demonstrated that online shopping is preferred due to ease of access, discounts, and a broader product range, whereas offline shopping remains significant for its immediacy and physical product verification. The RSM-generated response surfaces highlighted optimal shopping conditions, revealing a strong correlation between age, income sensitivity and shopping preferences. The key findings indicate that younger consumers (18-35 years) with higher salaries ($1500-$2500 per month) prefer online shopping (desirability score = 0.92), driven by convenience (46.7%), product variety (40.1%), and frequent discounts (44.1%). In contrast, offline shopping remains relevant for older consumers (40+ years) with moderate incomes ($2000-$3000 per month), who prioritize product inspection (40.8%), immediate availability (47.4%), and trust in quality (16.4%), with peak purchases occurring in the first week of each month. These findings provide actionable insights for retailers to optimize hybrid shopping models, ensuring better consumer engagement. The study concludes with implications for retail strategies and future research recommendations.

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FMCG sector, Response Surface Methodology, Income sensitivity, Shopping preferences, E-Commerce.

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In today's data-driven world, the internet is a vast repository of valuable information. Extracting and analyzing this data can offer unparalleled insights, opportunities, and a competitive edge. The Data Crawler, also known as a web crawler or spider, is a pivotal technology that plays a vital role in the extraction of web data at scale. It is an automated software program navigates through web pages, follows links, and systematically gathers data from diverse sources. This Python project uses Selenium to automate a web browser, enabling it to navigate to specified URLs and simulate user interactions. Once on a target page, Selenium employs CSS selectors or XPath to locate and extract desired data elements. The extracted data is then parsed, cleaned, and structured into a suitable format, such as CSV or JSON. Finally, the script iterates through multiple pages or elements as needed, systematically collecting and storing the organized data into a file or database for subsequent analysis or use.

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Data crawler, Data mining tool, Data collection, Lead generation data.

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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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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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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