Volume 13 | Issue 11 |

 Abstract

Delhi's recurrent winter air pollution crises reflect a complex interaction among chronic local emissions, episodic regional atmospheric dynamics, and unfavorable urban morphology. This study integrates data from source apportionment analyses, atmospheric transport modeling, and urban fluid dynamics to construct a mechanistic framework explaining severe particulate matter (PM) episodes. Persistent local sources, especially fugitive dust from construction and demolition (C&D) activities and vehicular emissions, sustain a high year-round PM baseline. Crop residue burning (CRB) in surrounding states acts as a thermal accelerator, generating temperature-pressure gradients that promote pollutant transport into Delhi. Finally, the city's dense urban fabric and low winter planetary boundary layer (PBL) inhibit vertical dispersion, amplifying pollutant accumulation. The findings emphasize that single-season or single-source interventions are inadequate. Sustainable mitigation requires a year-round, multi-sectoral approach targeting emission reduction, meteorological modulation, and ventilation-focused urban design.

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 Keywords

Air pollution, Delhi, PM?.?, Crop residue burning, Urban morphology, Thermal forcing, Source apportionment

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The rapid expansion of digital communication has increased the need for secure data exchange across networks. Traditional file-sharing systems are vulnerable to unauthorized access, data leakage, and cyber-attacks, particularly when files are transmitted without encryption or stored without proper access control. This research presents a Secure File Transfer System utilizing a hybrid encryption approach combining AES-256 and RSA-2048 to ensure confidentiality and integrity during file transmission. AES is used for encrypting data due to its computational efficiency, while RSA encrypts the AES key to enhance security. Additionally, a PIN-based decryption mechanism and role-based access control (RBAC) are implemented to restrict unauthorized file access and ensure operational privacy. The system is built using Python Flask, SQLite, and cryptographic libraries with session validation to prevent backdoor access after logout. Experimental results demonstrate that the proposed system effectively protects sensitive files during upload, storage, and retrieval, while maintaining fast processing and strong authentication. This hybrid security model offers a scalable and reliable solution suitable for academic, enterprise, and cloud file-sharing environments.

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 Keywords

AES-256, RSA-2048, Hybrid Encryption, Secure File Transfer, RBAC, Python Flask, PIN Authentication, Cyber Security

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Ayurveda, the ancient system of medicine, provides a holistic approach to disease management by balancing the Doshas and addressing the root cause of illness. V?taja K?sa, a type of Kasa Roga, primarily involves the vitiation of Vata Dosha, often associated with Kapha. It is characterized by dry, spasmodic cough, pain in the chest, hoarseness of voice, and fatigue. The condition is closely correlated with acute bronchitis in modern medicine, which involves inflammation of the bronchial mucosa leading to persistent coughing. This case study highlights the successful management of V?taja K?sa through the administration of Pippali Churna, a classical Ayurvedic formulation described for Kasa Roga. The therapy focused on Vata-Kapha pacification and enhancement of Agni (digestive fire), resulting in marked clinical improvement within 45 days.

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 Keywords

V?taja K?sa, Acute Bronchitis, Pippali Churna, Vata Dosha, Ayurveda

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Microspheres, Controlled drug delivery, Types of microspheres, Methods of preparation, Evaluation of Microsphere, Application of Microspheres.

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The Internet of Things (IoT) revolution has changed automation in various sectors, from home equipment to fac- tory processes, agriculture, and health. The backbone of this revolution is the need for low-cost, reliable, and programmable microcontrollers. The Raspberry Pi Pico, which is powered by the RP2040 microcontroller, offers a compact, low-power, and affordable board with multi-purpose I/O and dual-core capabil- ity, which is of keen interest to IoT-based automation systems. This review paper deals with the technical aspects, architectural features, and programming environments of the Raspberry Pi Pico from the IoT perspective. It focuses on its compatibility with sensors, actuators, and communication modules and evaluates its applications in real-time data processing, wireless control, and edge computing. Through case study comparisons as well as other microcontroller platforms to Pico, this paper provides a detailed insight into its contribution, advantage, and drawback in automating smart IoT systems. The paper concludes with research potential and future directions for Raspberry Pi Pico in the forthcoming generation of smart automation.

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 Keywords

Raspberry Pi Pico,RP2040 Microcontroller,Internet of Things (IoT),IoT Automation

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Creative Commons Attribution 4.0 and The Open Definition

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This project presents a web-based Wi-Fi packet sniffer and analyser built with Python, Flask, and Scapy. It captures and analyses real-time network traffic over a wireless interface. The system tracks packets sent through the Wi-Fi network and retrieves key details, including source and destination IP addresses, protocol type, packet length, and, when available, hostname information. Unlike traditional command-line or standalone GUI tools like Wireshark, this tool provides a user-friendly dashboard in your browser for viewing and managing network activity as it occurs. Users can start, stop, and filter packet captures directly from the web interface, without needing to use technical commands. The tool finds the active Wi-Fi interface automatically and sorts network traffic into common protocols like TCP, UDP, ICMP, HTTP, and HTTPS, making it easier to read and analyse. It also lets users search and filter by specific IP addresses or protocols, and export data as a CSV file for offline use or reports. By combining packet analysis with an interactive web interface, the project makes network monitoring more accessible, lightweight, and efficient. It is a helpful resource for students, network administrators, and cybersecurity learners to see real-world packet flow, spot unusual activity, and better understand how networks work.

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Wi-Fi Packet Sniffer, Flask Framework, Scapy, Network Traffic Analysis, Cybersecurity Monitoring

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Abstract: This research article explores effective strategies for teaching the profound feministic aspects embedded in Chitra Banerjee Divakaruni's works within Indian classrooms. Drawing extensively on critical analysis of her novels, particularly The Palace of Illusions, Sister of My Heart, The Vine of Desire, and The Mistress of Spices, this paper highlights key feminist concepts such as ecriture feminine, female bonding, challenges to patriarchal norms, and the envisioning of separatist communities. It proposes a pedagogical framework that encourages students to critically engage with themes of female subjectivity, agency, resistance, and identity formation as portrayed in Divakaruni's narratives. By focusing on her unique articulation of women's experiences, the article aims to provide educators with insights to foster a deeper understanding of gender dynamics and empowerment in the Indian literary and social context.

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Keywords: ecriture feminine, patriarchal norms, female subjectivity, resistance gender dynamics

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Homeostasis refers to the body's ability to maintain stable internal conditions despite external fluctuations. This process is essential for survival, ensuring that parameters such as body temperature, pH, and glucose levels are regulated within a narrow range. Disruption of homeostasis can lead to disease states. This article discusses the mechanisms of homeostasis, including feedback loops and the roles of the endocrine and nervous systems, and highlights common diseases associated with homeostatic imbalance, such as diabetes mellitus, and hypertension, hypothyroidism, acidosis, Understanding the maintenance of homeostasis and its failure is crucial for disease prevention and effective management. Concept of Homoeostasis is very basic fact which verifies by many on different forums & different aspects of Homoeopathic Principles. While framing the concept of Homoeopathy, Pioneers of Homoeopathy has used a logical explanation; which seems unrealistic at that time, but in depth understanding of concept of Homoeostasis in Physiology clears the mist around Principles of Homoeopathy now-a-days. This article is an attempt to correlate the concept of Homoeostasis with Homoeopathic Principles.

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Homeostasis, Feedback loops, Diabetes mellitus, Hypertension, Hypothyroidism, Acidosis, Disease, Endocrine system.

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The Scheduled Castes and Scheduled Tribes (Prevention of Atrocities) Act, 1989, represents a landmark legislative effort to combat caste-based violence in India. This paper focuses on Maharashtra, a state that presents a critical paradox in the Act's three-decade history: while consistently reporting a high volume of atrocities, it simultaneously suffers from alarmingly low conviction rates that often fall below the national average. This study meticulously dissects the systemic barriers responsible for this implementation gap. It identifies key failures within the policing apparatus, including caste bias and flawed investigations, and critiques the judiciary's inability to deliver speedy justice through functional special courts, leading to staggering case pendency. The analysis highlights how the 2015 and 2018 amendments, while boosting case registrations by reinforcing legal protections, have failed to translate into higher convictions due to these entrenched structural flaws. Using case studies like the Khairlanji massacre, the paper demonstrates how social intimidation and a vacuum of accountability further victimize survivors and derail justice. The central argument is that the Act's potential in Maharashtra remains unrealized not due to legislative deficiencies, but because of deep-seated institutional apathy and societal resistance. Ultimately, the paper contends that transforming the PoA Act from a largely punitive framework into a proactive tool for social justice in Maharashtra requires a concerted, multi-stakeholder strategy. This includes enhancing the capabilities of investigators and prosecutors, enforcing strict accountability for timely trials, and fostering robust collaboration between the state, judiciary, and civil society to dismantle the entrenched barriers to justice.

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 Keywords

Justice, Investigators, Atrocities, Caste

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Creative Commons Attribution 4.0 and The Open Definition

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Traditional e-learning platforms lack real-time personalization and engagement, leading to passive consumption and reduced retention. NeuroLearn AI proposes an AI-driven educational framework that transforms educational videos into structured learning artifacts using technologies such as Gemini API, LangChain, and Retrieval-Augmented Generation (RAG). The platform automatically extracts YouTube video transcripts and generates summaries, quizzes, flashcards, and personalized learning paths. A built-in progress tracker and adaptive assessments further ensure consistent student engagement. Designed to be scalable, accessible, and inclusive, the system demonstrates high learner satisfaction and improved retention, redefining how students engage with educational content.

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 Keywords

Generative AI, Personalized Learning, Video Summarization, LangChain, Gemini API, Adaptive Feedback, NeuroLearn AI

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Creative Commons Attribution 4.0 and The Open Definition