Volume 13 | Issue 5 |

 Abstract

The increasing need for automation and resource optimization in agriculture has emphasized the importance of intelligent irrigation systems. This paper presents the design and implementation of a cost-effective and scalable Pump Control Unit for smart farming applications. The system employs an Arduino Uno microcontroller integrated with a GSM module to enable remote control and monitoring of a three-phase induction motor used for irrigation. Critical protection features such as overcurrent, overvoltage, dry-run detection, and thermal shutdown are incorporated to enhance equipment safety and reliability. The GSM-based communication interface allows farmers to operate and supervise motor functions via SMS, ensuring operability even in remote areas with limited internet access. Comprehensive testing demonstrates that the proposed system significantly reduces manual intervention, improves motor longevity, and supports efficient water management practices. The results affirm the system's potential to contribute to sustainable agricultural practices and serve as a foundational platform for future smart farming enhancements.

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 Keywords

Smart Farming, Arduino Uno, GSM Communication, Pump Automation, Motor Protection, Dry Run Detection, Remote Monitoring, Irrigation System, Agricultural IoT, Embedded Systems

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ayurveda is one of the oldest traditional heritages of our country, offering deep insights into health and longevity. It acts as a treasure trove of life's healthful wisdom, steering individuals towards the core goals of Ayurveda. The acharyas, or sages, through their careful observations, explore the depths of Ayurveda, sharing invaluable knowledge through their texts. In modern times, the idea of circadian rhythm, or biological clock, has garnered considerable interest, defined as the 24-hour cyclical changes that occur within our bodies and their clinical significance. Notably, this concept is also discussed in our ancient scriptures, which have not been given the acknowledgment they merit. These scriptures describe the cyclical nature of doshas, which vary over time and present different symptoms in the body. The acharyas have prescribed daily, nightly, and seasonal routines based on these doshas, which are vital for sustaining overall health throughout life, with each routine possessing its own clinical relevance. Establishing a daily regimen is essential for health, enabling necessary adjustments in body, mind, and spirit. A well-organized routine supports the balance of Tridoshas. Biological rhythms, including circadian, ultradian, and infradian rhythms, regulate bodily functions in a rhythmic fashion, governed by an internal clock. Each Dosha exhibits daily fluctuations influenced by digestion phases and age. Factors such as a person's age, circadian rhythm, and eating habits play a significant role in human physiology. Disruptions in the circadian rhythm, caused by environmental influences and bodily changes, can lead to various health problems known as circadian rhythm disorders. Agni, which signifies digestion and metabolism, can either foster health when properly managed or become harmful if ignored. Grasping the concept of Agni is crucial for maintaining optimal digestive and metabolic health. Both the physiological and pathological aspects of Agni are explored and highlighted. The importance of jataragni must be recognized, as it is responsible for the initial breakdown of complex food into simpler forms for the body to absorb. A disruption in this Agni can lead to the creation of ama, srotodushtilakshana, and various health complications. A thorough understanding of Agni's fundamental principles is essential for accurate diagnosis and effective treatment selection. Classical Ayurvedic texts detail a recommended daily routine, known as Dinacharya and Ritucharya, which outlines daily and seasonal practices for individuals to achieve optimal health and a balanced lifestyle. The principles of Ayurveda help us identify the most advantageous times for daily activities while keeping Doshic rhythms in an ideal state. To maintain health and prevent disorders related to modern lifestyles, it is crucial to understand the circadian rhythm in Ayurveda, the factors that disrupt it, its pathogenesis, and the suggested strategies for resetting it.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ayurveda, circadian rhythm, Agni, Tridosh, biological clock.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Enhancing education and job training in Adivasi regions requires a holistic approach that prioritizes inclusivity, skill development, and economic empowerment. Schools tailored to tribal communities should integrate traditional knowledge with modern subjects, ensuring culturally relevant learning experiences. Training programs focused on agriculture, eco-tourism, handicrafts, and digital literacy can open new employment avenues while preserving indigenous practices. Collaborations with industries and NGOs can provide mentorship, financial support, and career pathways suited to local contexts. Government policies that promote scholarships, vocational centers, and entrepreneurship programs further strengthen opportunities for sustainable livelihoods. By fostering an environment of education, skill-building, and employment-focused training, Adivasi communities can achieve self-sufficiency while retaining their rich heritage and traditions, expanding access to quality education and job training in Adivasi regions is essential for fostering sustainable development and economic empowerment. A comprehensive approach begins with culturally inclusive education that integrates traditional knowledge alongside modern subjects, allowing students to retain their heritage while preparing for contemporary careers. Strengthening digital learning opportunities through mobile technology and internet access can bridge gaps in formal education, especially in remote areas.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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skill development,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

We present initial results from investigations into thin films of a novel material, a double half-Heusler Mn?FeCoGe? thin film deposited onto silicon (100) and glass substrates using thermal evaporation. The specimens were examined for their morphology and crystallographic structure using scanning electron microscopy and diffraction techniques. The composition was analyzed using X-ray spectroscopy. Our investigation further underscores the critical role of stoichiometry in achieving the desired properties of the material.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mn2CoFeGe2, Double Half-Heusler, Thin films

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study focuses on the formulation and evaluation of Ondansetron Hydrochloride orodispersible tablets utilizing Acacia gum as a natural superdisintegrant. Natural disintegrants are gaining popularity due to their biocompatibility, non-toxicity, and cost-effectiveness. In this work, various formulations were prepared using direct compression, incorporating different concentrations of Acacia gum, and evaluated for pre-compression and post-compression parameters such as hardness, friability, disintegration time, and drug release. Among the formulations, batch F3 exhibited the best performance with a disintegration time of 22 seconds and 99.31% drug release at 30 minutes. The findings suggest that Acacia gum can serve as an effective and natural alternative to synthetic superdisintegrants in the development of fast-dissolving tablets.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ondansetron Hydrochloride, Orodispersible Tablets, Acacia gum, Natural Disintegrant, Drug Release, Mucoadhesive Delivery

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In modern industrial automation, product counting and material classification are crucial for enhancing efficiency, reducing human errors, and optimizing manufacturing processes. This project presents a Conveyor Belt System for Product Counting and Material Separation, designed to accurately count products passing through the conveyor while distinguishing between metal and non-metal items. The system integrates advanced sensing technology to automate the counting process and classify products based on their material composition. The automated classification of metal and non-metal items can be utilized in various industries, including manufacturing, packaging, recycling, and quality control. By integrating smart automation and real-time monitoring, this conveyor belt system enhances productivity and operational accuracy while reducing labor-intensive tasks. The system is designed for scalability, making it adaptable to different industrial applications where material differentiation and product counting are essential. This project demonstrates a step forward in industrial automation by providing a cost-effective, efficient, and intelligent solution for automated product counting and material separation.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Conveyor Belt, DC motors, PLC Microcontroller, Color Sensor, LCD

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study is an effort to understand the importance of District Industries Centers in providing training to employees and entrepreneurs of startups and how to manage talent in startups. District Industries Centres (DICs) have a significant impact on local economies by promoting industrial development, creating job opportunities, and supporting entrepreneurship. Through their various functions and services, DICs contribute to the economic growth and industrialization of their respective regions. Study tries to achieve two basic objectives which are to understand role of DIC in providing training to start-ups and to find ways and means to achieve best talent management strategies for the start-ups. DICs play a vital role in promoting industrial development and supporting entrepreneurs at the district level. By providing financial assistance, infrastructure development, skill development, and marketing support, DICs contribute significantly to economic growth and employment generation. However, addressing challenges in implementation and enhancing collaboration with various stakeholders can further improve their effectiveness.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Talent Management, Start-ups, District Industries Centre (DIC), Training.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Sales and Expense project is a web-based application designed to enhance business efficiency by automating sales and purchase processes. Utilizing advanced web scraping techniques, the platform aggregates and analyzes data from various sources, ensuring accurate and up-to-date financial insights. A secure admin login system provides authorized users access to a centralized interface for monitoring real-time sales, tracking expenses, and generating detailed reports. By reducing manual data entry and minimizing errors, the application streamlines financial management and supports better decision-making. Its robust analytics features allow administrators to assess performance trends and optimize operations. This project empowers businesses with efficient tools and actionable insights, fostering improved profitability and operational control.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sales and Expense Management, Web-Based Application, Business Process Automation, Financial Analytics, Real-Time Monitoring, Data Aggregation, Expense Tracking, Sales Tracking

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mukul Kesavan Looking Through Glass critiques dominant nationalist and communal histories of India by presenting an alternative, fragmented, and subversive narrative of the past. Through the postmodern device of time travel, the novel allows the protagonist, a contemporary observer, to witness pre-Partition India and challenge the rigid historical binaries that sustain both nationalist and communist discourses. Kesavan separated the grand narratives of Indian independence and Partition, revealing history as a constructed and contested discourse rather than an objective truth. The novel critiques nationalist historiography, which often glorifies the freedom movement while ignoring the complexities of political as well as social realities. Which is focusing on ordinary people rather than political elite, Kesavan decentralizes history and highlights the contradictions within nationalist rhetoric.The novel challenges communal historiography, which portrays Hindu-Muslim relations in fixed oppositional terms, by depicting intercommunal solidarities and shared cultural spaces that defy the divisive narratives often associated with Partition.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Political use of communalism, Hindu muslim relation, Time travel as a literary device, partition narrative.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial Intelligence (AI) is revolutionizing book Classification, a task traditionally handled by librarians. AI-powered tools and intelligent systems automate critical aspects of this process, including metadata extraction, classification, keyword tagging, and error detection. Advanced technologies like Natural Language Processing (NLP) and Optical Character Recognition (OCR) enable AI to analyse book content, identify bibliographic details, and classify materials according to standardized systems like Dewey Decimal Classification (DDC) or Library of Congress Classification (LCC). AI-driven Classification can generate multilingual metadata, making books more accessible to a global audience. These systems future enhance library operation and user service through recommendation algorithms and automated validation mechanisms. However, challenges such as data privacy, metadata reliability, and ethical implications remain. Additionally, smaller libraries with limited technological infrastructure may struggle to implement AI-driven solutions, exacerbating the digital divide. This paper explores the transformative role of AI in book Classification, examining its underlying technologies, key advantages, and potential limitations. It proposes a structured framework for integrating AI-based Classification systems into modern library management, striking a balance among efficiency, accuracy, and ethical responsibility.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Book Classification, NLP, Library Automation, Metadata, Machine Learning.

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Creative Commons Attribution 4.0 and The Open Definition