Volume 12 | Issue 5

 Abstract

Nagas are strikingly known for their colorful traditional attires and costumes which is one of the core identity markers. With the progress of time, technology has revolutionized the weaving industry which has improved and accelerated the production process. The paper intend to show the significance and demand for traditional handwoven cloth and how it remains relevant in society despite of modern development. Focusing on the Angami Naga village of Mima, the work gives insight into how women weavers still preserve the age-old traditional implements and techniques of weaving. The paper also made an assessment on how it proved to be a sustainable activity and a means of livelihood impacting toward women's empowerment today.

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 Keywords

Handloom, dye, gender, taboo, sustainability, empowerment

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 Abstract

One of the most dangerous conditions brought on by high temperatures is heat stroke. This illness results in severe damage to the brain and other key organs in the body as the body's cooling mechanism fails on its own. Though it primarily affects those over 50, heat stroke also has an adverse effect on healthy adolescents.

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Heatstroke, Causes, Complications, Prevention, Homoeopathy

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About 80% of people on the planet utilize herbal medicines for primary healthcare, mostly in underdeveloped nations. Wound healing agents speed up wound closure, lessen trauma and the chance of subsequent infections, and promote the body's natural healing process. The present study was to formulate and evaluate the wound healing activity of developed polyherbal formulation in the form of cream by using extract of turmeric, neem, tulsi, Aloe Vera with excipients. Several researches revealed the antibacterial, antioxidant, and anti-inflammatory properties of these plants. Formulation of Herbal Skin Cream for wound healing was successfully developed that met the relevant pharmaceutical characteristics. The prepared formulations are then evaluated for parameters like physical properties, pH, viscosity ,spreadability and stability of the formulated cream. The prepared formulations showed good. spreadability, no evidence of phase separation and good consistency during the study period. The formulations had pH values in the satisfactory range of 5.5-6.2.The extracts were uniformly distributed in all the formulations without causing edema, irritation, and redness.The results of this study suggest that creams containing plant extracts with wound-healing capabilities could be developed and applied as a skin barrier.

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 Keywords

Wound healIng, Azadirachtaindica ,Turmeric, Aloe vera, Tulsi. Formulation, Evaluation .

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Firsthand contact is the primary means of infection and microbial transfer. One of the most important practices for the prevention, management, and decrease of infections is good hand hygiene. The COVID pandemic has raised the need for hand sanitizer, which reduces hand dryness. We made a herbal sanitizer with readily available herbal plant extract and additional substances after taking the necessity into consideration. This study focuses on the potency, visibility, and positive effects of herbal hand sanitizer made with aloe vera leaf extract and Psidium guajava. The prevention of pathogen entry into the body through the hands has been the main focus of a significant amount of study on hygiene. After discussing the benefits of lowering the microorganisms, the goal of the current investigation is established.

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Hand Sanitizer ,Hygiene, Pathogens, Psidiumguajava, Aloe vera

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As machine learning (ML) systems continue to proliferate across various domains, ensuring fairness in their implementation has become a critical concern. Unintended biases in these systems can perpetuate discrimination and inequality, leading to significant societal consequences. In this paper, we delve into the challenges and methodologies involved in implementing fair ML. We explore approaches for identifying and mitigating biases in data collection, pre-processing, model development, and deployment stages. Additionally, we discuss the trade-offs between fairness and other performance metrics, such as accuracy and utility, highlighting the importance of incorporating fairness considerations throughout the ML pipeline. Through a comprehensive review of existing research and case studies, we provide insights into best practices for achieving fairness in ML implementation across diverse application domains. Our analysis underscores the necessity of adopting a multidisciplinary approach, involving collaboration between computer scientists, ethicists, policymakers, and domain experts, to address the complex socio-technical challenges inherent in fair ML implementation. Ultimately, this paper aims to contribute to the development of more equitable and socially responsible ML systems.

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Machine Leaning, Implementing fair, Inequality, Methodologies, Socio-technical challenges, multidisciplinary approach

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Abstract: Aesthetics is recognized as a branch of philosophy, along with the philosophy of science; philosophy of ethics, logic, etc. Since Plato's time, aesthetic thought has always existed. Aesthetics is the study of art and beauty is regarded as a distinct field. The aesthetic concept is first introduced by western philosopher Baumgarten in the 18th century. It is the subfield of philosophy. Aesthetics encompasses a variety of human emotions that have a psychological connection. Indian music scholars and ancient play writer and scholars like Bharat, Abhinavagupta, and others share this viewpoint. Bharat elucidated eight types of aesthetic sentiment that emanate from the level of man's basic psychic content and it also generate emotional feelings such as fear, love, etc. These mental and emotional dispositions manifest through the medium of tonal sound. The emotional presentation of sound or sequences of sound or tones is the self-expression of the artist. Creative art expression depends on the artist's aesthetic sense, mood, and circumstances, which they have faced and experienced in their lifetime.

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Key words-Music, Aesthetics, Indian music, Natyashasta, Rasa(emotional expression) and Bhava(mood) relation

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 Abstract

The project presents the development of an in- novative chatbot system that integrates with PDF documents, enhancing users' ability to extract information through natural language queries. The primary goal is to address the growing demand for efficient information retrieval from textual docu- ments, particularly in educational and professional contexts. The proposed system aims to provide a user friendly system for extracting relevant information from PDFs swiftly and accurately. To achieve this, the system leverages several key technologies. Streamlit is used for the user interface, providing an intuitive and interactive platform for users to interact with the chatbot. PyPDF2 is employed for PDF parsing, allowing the system to extract text from uploaded PDF documents. Langchain is utilized for text processing and embeddings, enabling the system to process and index the extracted text ef- ficiently. Google Generative AI is integrated for conversational capabilities, enabling the chatbot to understand user queries and provide relevant answers. Additionally, FAISS is used for similarity search, allowing for fast and accurate retrieval of information from indexed PDF content. The system's work ow involves users uploading PDF documents, from which text is extracted, processed, and indexed for efficient retrieval. The chatbot, powered by Google Generative AI, interacts with users, interprets their queries, and provides relevant answers based on the indexed PDF content. The project's main objective is to provide an interactive and easy to use user experience, making it easy for users to access and utilize information from PDF documents effectively. Future enhancements may include support for more complex queries, integration with other document formats, and improved user interaction features. Overall, this project contributes to the advancement of natural language processing and information retrieval systems, bene- fiting users in various domains requiring efficient document analysis and information extraction.

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Langchain, Google Generative AI Embedding, FAISS Indexing, Streamlit, Python.

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 Abstract

In Design for Testability (DFT) scan design is an efficient method to overcome problems in testing. VLSI suffers from excessive power consumption during testing due to higher switching activity. This paper proposes a methodology called state skip LFSR to reduce number of patterns and algorithm to minimize switching activity by reordering patterns [1] generated from test pattern generator (TPG). Reduction of switching activity is achieved by decreasing hamming distance among successive test patterns through modified prim's algorithm. Our proposed methodology is implemented in ISCAS'89 benchmark circuits a standard reference circuit called s27 . Experimental result shows an improvement of 54.5% in terms of switching activity with 100% fault coverage in conventional LFSR and 67.5% in state skip method.

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Test pattern generator , Linear feedback shift register , Modified Prim's algorithm, State skip LFSR, fault coverage

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 Abstract

The target of this study is to analyze the elements that impact Human Decision-Making and the job of examination in promoting for authoritative achievement, as well as the potential dangers related with navigation. This exploration plans to analyze the variables impacting business independent decision-making and the advertising consequences for authoritative execution, as well as the related dangers related with navigation. The outcomes demonstrate that business navigation is pivotal for accomplishing hierarchical objectives and supporting an upper hand in showcasing. The results of independent decision-making can apply a significant effect on the success of an association, and lacking navigation can leave an association powerless against significant dangers. According to the findings of the research, effective Human Decision-Making is necessary for Behavioral Economics Societal Consequences to be successful. Leaders are committed to consider many variables that could impact the nature of their choices and to guarantee that the dynamic cycle is straightforward and showcasing. By providing insights that can enhance their decision-making processes and ultimately improve their Societal Consequences outcomes, the findings of this study can be of great assistance to Societal Consequences and other decision-making.

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Behavioral Economics, Societal Consequences, Human Decision-Making

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 Abstract

Conventionally the feeding of the cattle is manual which is time consuming. In this project, an automatic cattle feeding system is introduced where food feeder follows the path through a pre-determined distance and places the feed to the cattle by the side of the feed fence. The prototype is developed using Arduino circuit for the operation of feed mechanism with certain time space. The motors are interfaced to operate in either direction. A rail bogie is operated by a DC motor to feed the cattle at certain time space. This mechanism is basically controlled by pulling mechanism by winding the rope around the motor operated shaft.

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"DESIGN AND FABRICATION OF COW FEEDING MACHINE and DRINKING SYSTEM"

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In the rapidly evolving landscape of personalized digital experiences, recommendation systems stand as indispensable tools, guiding users through a sea of content choices. This project introduces an innovative framework that seamlessly integrates a generalized recommendation system with the intuitive capabilities of a chat bot. By harnessing the power of natural language interactions, our framework not only refines user preferences dynamically but also addresses the perennial challenge of the cold start problem. Through a fusion of collaborative and content-based filtering, alongside deep learning techniques, the system ensures adaptive, real-time recommendations tailored to individual user profiles. Beyond mere data collection, the chat bot provides transparency, offering users a lucid understanding of the recommendation engine's decision-making process. As a versatile solution, this framework transcends domain boundaries, promising heightened accuracy and relevance in recommendations, thereby ushering in a new era of user-centric digital interactions. This project introduces a novel framework merging a generalized recommendation system with chat bot support, revolutionizing user engagement. Leveraging natural language conversations, the framework dynamically refines user profiles, enhancing the adaptability of advanced machine learning algorithms. Incorporating collaborative and content-based filtering, along with deep learning, the system addresses the cold start problem and ensures real-time feedback. The chat bot's role extends beyond data collection, providing transparent insights into the recommendation process. Adaptable across diverse domains, the framework significantly improves recommendation accuracy and relevance, promising a more user-centric experience. Through rigorous evaluations and case studies, this showcases the framework's effectiveness in delivering personalized and context-aware recommendations, marking a significant leap in recommendation system advancements.

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 Keywords

Unified Framework,Chatbot,Recommendation System,Hybrid Recommendation System,Server,LLama,Meta,Flask

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 Abstract

We hope to make the concept and uses of Li-Fi technology more clear in this project. Although radio frequency waves are used by the present Wi-Fi network, only a small portion of the Radio Frequency spectrum is used. Goal in this project is to make the LiFi technology's idea and application more understandable. As a result, Li-Fi a new technology has emerged. Li-Fi is an newer technology. This project illustrates the usage of an array of LEDs for visible light spectrum data transmission. Compared to Wi-Fi, this technology offers significantly great speed, lower latency, more accessible spectrum, and security. The purpose of this research project is to use Arduino to construct a Li-Fi transceiver that can send and receive data in binary format. Programming is carried out using the Arduino Uno platform. Data (alphanumeric) transmission and reception have been completed successfully.

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This paper presents a real-time automatic helmet detection system utilizing deep learning frameworks TensorFlow and Keras within the OpenCV environment. With the increasing concern for safety in various fields such as construction, sports, and transportation, the detection of safety gear like helmets is paramount. Our approach leverages the power of convolutional neural networks (CNNs) to accurately detect helmets in real-time video streams. We employ a pre-trained CNN model fine-tuned on a custom dataset comprising helmet images. The proposed system demonstrates robust performance in detecting helmets across diverse environmental conditions, achieving high accuracy and efficiency. Through experiments and evaluations, we validate the effectiveness and practicality of our approach, highlighting its potential for integration into various safety applications..

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 Keywords

Object Detection, TensorFlow, Keras,OpenCV (Open Source Computer Vision Library), Real-time, Helmet Detection, Convolutional Neural Networks (CNNs), Transfer Learning, Image Processing, Pre-trained Models .

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 Abstract

A digital twin is a virtua lrepresentation of a physical entity, replicatingits data model, behavior,and interactions with other physical entities. Digital twin serve as digital copies o f the physical object or process they represent, allowing for near real time monitoring and evaluation without the need for physical proximity.The ongoing technological advancements across industries, along with the imperative to quickly respond to evolving customer requirements, demand logistics processes to be equally responsive, sometimes even faster,to changing market conditions. The concept of Industry4.0 ,with its modern techniques and tools, facilitates the utilization of digital twins in modeling and simulating logistics processes, providing not only financial benefits but also supporting decision making when selecting automation options for logistics processes.When developing a digital twin,it's essential to prioritize its effectiveness, ensuring it remains as user-friendly as its intended purpose allows.The selection of an automation approach necessitates a thorough assessment of its implementation effects,and modeling and simulating processes are ideal for this purpose, as they don't entail significant costs and labor-intensive efforts.

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DigitalTwin, VirtualRepresentation ,RealTimeMonitoring ,System Integration.

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The purpose cosmetics is to improve and boost the attractiveness of an individual persons. In this work, we developed and evaluated. powdered marigold rose cold cream is neem oil based. Pharmaceuticals creams are used for many different cosmetics purposes, such as washing, hydrating, highlighting, and appearance changing. This liquid preparation can be safely used by the over-all population and the social order at large. Herbal cosmetic is products that play with and progress appearance of people. In this study, the objective has to produce and assess herb cold cream by means of plant extracts product.

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Neem oil, Herbal cold cream, Skin

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 Abstract

abstract: Pleomorphic adenoma is a heterogeneous benign tumor of the salivary glands, composed of several epithelial and myoepithelial tissue elements. It frequently occurs in the main salivary glands, but exceptionally in other sites, particularly the orbital cavity. We report a clinical case of pleomorphic adenoma of the orbital cavity.

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Key words: exophthalmos, lacrimal gland, pleomorphic adenoma.

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ABSTRACT Motorbikes in India have been the largest mode of commute since their introduction in the 1950s. For many individuals, owning and riding a motorcycle has been a lifelong dream, serving not only as a means of transport but also as a gateway to the freedom of the open road and endless adventures. In recent years, adventure motorcycling has emerged as a popular hobby and sport, blending exhilarating moments with cultural immersion, community building, and rugged exploration. This project report will explore the growing interest in adventure motorcycling, highlighting major destinations, the objectives of riders, and the impact on tourism. The focus will be on the target segment involved, the overall impact on the tourism sector, and government regulations and interventions. Adventure motorcycling takes enthusiasts across geographically diverse states, offering unparalleled terrains such as treacherous mountain trails, offroading in slush, river crossings, sand dunes, and forest paths. Each region presents its own set of challenges and rewards, showcasing how riders navigate varied landscapes, overcome obstacles, and experience a sense of accomplishment. Another objective of this report is to understand riders as tourists, exploring their immersive cultural experiences as they traverse India's diverse states and territories. The transformative power of cultural exchange, the connections forged with communities and destinations, and the kaleidoscope of languages, customs, and traditions encountered by riders will be examined. Seasonality and necessary precautions for such ventures will also be addressed, ensuring riders are wellprepared for their journeys. The report will analyze the factors driving interest in adventure motorcycling, market segment preferences, and popular routes. Additionally, essential skills and gear required for the sport, securing proper documentation and permits, and recommendations for prospective riders will be covered. This includes access to seasoned adventurers, riding groups, and local guides for a hasslefree experience. Lastly, government initiatives to develop infrastructure promoting adventure motorcycling tourism will be discussed. This journey transcends mere travel, offering a deeply transformative experience that is sustainable and enriching. By providing an overview of the joys and rewards of exploring India on two wheels, the aim is to help aspiring adventure enthusiasts make informed decisions for their dream rides.

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 Keywords

Adventure Motorcycling, Tourism Impact, Cultural Immersion, India, Diverse Terrains, Government Regulations, Tourism Infrastructure, Riding Skills, Market Segment, Popular Routes, Seasonal Precautions, Cultural Exchange, Motorbike Exploration, Rider Experiences, Transformative Travel

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 Abstract

Its generous quality of adaptability is essential to the successful design and implementation of prediction models. Parkinson's disease is a common form of dementia and a dangerous illness that can damage the nervous system. Six clinical researchers on a task force assessed clinical rating scales, offering suggestions for their clinical applicability and critiquing their clinometric qualities. They evaluated the quality of validation data, performance metrics, and previous use of the scales.

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SVM, NEUROPATHOLOGY,ANN,IMEN,BOALT.

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The present research is on synthesis of Quinoline derivative and evaluation of its anti-microbial activity. The synthesis is done by one pot synthesis method. In this step 4-hydroxy-2-methyl Quinoline is synthesized and this final product has been identified by TLC and FTIR spectroscopy. The compound was tested for anti-microbial activity by using streptomycin as standard drug against B.subtilis ( gram positive bacteria), E.coli( gram negative bacteria).. The compound hassignificant anti-microbial activity.

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The present research is on synthesis of Quinoline derivative and evaluation of its anti-microbial activity. The synthesis is done by one pot synthesis method. In this step 4-hydroxy-2-methyl Quinoline is synthesized and this final product has been identified by TLC and FTIR spectroscopy. The compound was tested for anti-microbial activity by using streptomycin as standard drug against B.subtilis ( gram positive bacteria), E.coli( gram negative bacteria).. The compound hassignificant anti-microb

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The aim of this review is to elucidate the critical importance of anatomical landmarks in the maxilla and mandible for dental implant placement and to evaluate the impact of advanced imaging techniques such as Orthopantomography (OPG), Cone Beam Computed Tomography (CBCT), and Magnetic Resonance Imaging (MRI) on the accurate identification and analysis of these landmarks. By synthesizing current literature, this review seeks to provide dental practitioners with a comprehensive understanding of key anatomical structures, their significance in implantology, and how modern imaging advancements contribute to safer and more effective implant placement procedures.

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 Keywords

1. Anatomical landmarks 2. Maxilla 3. Mandible 4. Dental implants 5. Implant placement 6. Orthopantomography (OPG) 7. Cone Beam Computed Tomography (CBCT) 8. Magnetic Resonance Imaging (MRI) 9. Sinus lift 10. Mandibular canal 11. Maxillary sinus 12. Mental foramen 13. Nerve injury 14. Bone quality 15. Alveolar ridge 16. Cortical bone 17. Implant stability 18. Complications 19. Advanced imaging 20. Precision dentistry

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