Volume 12 | Issue 11

 Abstract

This paper "Indian Culture and tradition in Chitra Banerjee Divakaruni's The Mistress of Spices" attempts to analyse culture and traditions as a core theme of the novel. This novel explores Indian culture and tradition through the lens of spices, food, and the immigrant experiences. The novel is based on the idea that spices have magical powers and can heal the body and soul. The spices are personified and each chapter is named after a spice, which represents the spice's unique functions and how it's special to Tilo. Spices are also a representation of Indian culture and can evoke a sense of home for Indians living in America. Food is a way to express and define culture and tradition in the novel. The novel depicts Indian food as authentic and uses magical elements to represent it. The novel depicts the cultural conflict and trauma faced by Indian immigrants in America. The characters' struggle to find their identity in a new land, but eventually embrace a transformed identity. The protagonist, Tilo is a metaphor for the young Asian woman caught between tradition and modernity and try to balances the both.

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 Keywords

Culture, tradition, Food, Spices, Conflict, Hybridity, Identity

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The agricultural sector is undergoing a transformation with the integration of advanced technologies to enhance productivity and efficiency.This project proposes an Internet of Things (IoT)-based Livestock Monitoring System with Location Tracking and Smart Feeding. The objective is to provide livestock farmers with a comprehensive solution for real-time monitoring of their animals, ensuring their well-being and optimizing feeding practices. The proposed system leverages IoT devices, such as sensors and GPS modules, to collect and transmit vital data from the livestock environment to a central server. The data includes parameters such as temperature, humidity, and location, which are crucial for assessing the health and behavior of the animals. The integration of GPS technology enables farmers to track the location of their livestock, ensuring effective management and reducing the risk of loss or theft. The heart of the system lies in its ability to analyze the collected data and provide actionable insights to farmers. This empowers farmers to take proactive measures, preventing the spread of diseases. One of the innovative features of the proposed system is the Smart Feeding mechanism by combining data analytics with automated feeding systems. This not only reduces wastage of food but also ensures that each animal receives the appropriate nutrients, leading to improved growth rates and overall health. The implementation of this IoT-based Livestock Monitoring System has the potential to revolutionize traditional farming practices, providing farmers with a powerful tool to enhance their decision-making processes. The real-time data access and analytics capabilities contribute to a more sustainable and efficient livestock management system, ultimately benefiting both the farmers and the agricultural industry as a whole

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 Keywords

Internet of Things (IoT), Cloud computing, livestock, animal health monitoring, location tracking, smart feeding, precision livestock farming

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 Abstract

Madhya Pradesh Me Matdan Vyavhar Ko Prabhavit Karne Wale Karko Ka Vishleshnatmak Adhyan dsfUnzr gSA 'kks/k esa ;g Hkh v/;;u fd;k tk,xk dh oks dksu ls dkjd ,oa enq O;ogkj izHkkfor gksrk gSA izLrqr 'kks/k ernku O;ogkj ds dkjd ij vk/kkfjr gSA

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Madhya Pradesh Me Matdan Vyavhar Ko Prabhavit Karne Wale Karko Ka Vishleshnatmak Adhyan

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The tribal identity has seen many changes and difficulties throughout history. Most of the tribes are still facing several challenges and hardships in different dimensions due to the forces of globalization that penetrated their ancestral environment with the help of the dynamic state. Tribal areas are considered underdeveloped in our nation, and their financial circumstances have not changed despite several decades of planned development. Development in the tribal areas should include holistic and balancing the preservation of traditional identity, culture, and attributes with the expansion and assurance of their access to mainstream education, health care, and employment and from the socio-economic challenges such as limited access to education, healthcare, and infrastructure. The concerned nodal agency should make significant efforts to improve their socioeconomic status through various government welfare schemes. It is found from the previous studies that Beda and its associated communities are considered one of the most ancient and backward communities in India. The development of the tribal communities and their geographical areas should fallow sustainable development approaches. Despite facing numerous challenges, the Bedar community has long advocated for inclusion in the Scheduled Caste category while continuing to preserve their unique way of life and contribute to the state's diversity. The study aims to know about the transition among the Indian tribal communities and also to know about the nature of the transition among the Beda and its associated communities in the state of Karnataka.

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Keywords: Beda, Transition, Socio-economic, political, Aboriginal, Scheduled Tribes.

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The rapid advancement of electric vehicles (EVs) is reshaping the automotive industry, particularly through the integration of computer vision and artificial intelligence (AI). This paper explores how these technologies enhance the capabilities of electric vehicles, improving safety, efficiency, and user experience. Key applications such as autonomous navigation, advanced driver assistance systems (ADAS), and energy management are discussed. The paper also examines the technical challenges and future directions of research in this field. Case studies of industry leaders illustrate successful implementations, while a call for further research underscores the need for collaboration to overcome existing obstacles. This study aims to contribute to the understanding of the transformative potential of computer vision and AI in electric vehicles. This paper reviews the state-of-the-art techniques and methodologies in computer vision applications within the context of EVs, focusing on object detection, lane detection, and driver monitoring systems. By integrating artificial intelligence (AI) with computer vision, we aim to enhance autonomous vehicle functionalities, facilitate intelligent traffic management, and improve user experience.

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Artificial Intelligence, electric vehicles, Innovation, Electric vehicles, AI in electric vehicles, Challenges, Recommendations.

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The structure of Indian agriculture underwent rapid changes during nineties both due to pressure of commercialization and increased dependence on trade. This was fuelled by many overt and convert changes in the sector, but the diversification of crops along with the advent of WTO and liberalization policies were the main players in the structural change. One of the important bottlenecks, highlighted by many analysts of Indian agriculture refers to the small size of holdings and the inability of the Indian farmers to compete with the large scale farming of the West. One of the ways to deal with small scale farm operation is to bring small and marginal holders together in a production system so as to deal with a particular product. In order to facilitate industries to produce specific quality of agro-commodity directly from the farmers the state government keeping in tune with the reforms of model act 2003, adopted 'contract farming' scheme from 31/3/2005 While adopting contract farming, the prime focus of the Gujarat government is two prongs: firstly, farmers of Gujarat can get benefit of latest farming technology, improve quality and quantity of commodity, and get price security and an opportunity to diversify in other crops. On the other hand, processors can get quality and variety of commodity as per their market requirement at specific stable price.

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General Terms: Contract farming Agro industry Agriculture sector Market access Supply chain Farmers Sponsors Agriculture Produce Market Committees (APMC) Specific Keywords: Indian agriculture Commercialization Crop diversification WTO Liberalization policies Gujarat government Private sector participation Rural economy Food processing sector Value chain Perennial crops Seasonal contracts Advantages & Benefits: Price security Market assurance Technical support Financial assistance Crop ins

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Abstract The rapid growth of e-commerce platforms has fundamentally transformed global shopping habits, offering convenience, variety, and competitive pricing to consumers. However, the absence of physical interaction and tangible experiences has resulted in trust deficits among customers, particularly concerning product quality, authenticity, and reliability. To address this challenge, influencer marketing has emerged as a pivotal strategy for building customer trust and fostering brand loyalty. This study explores the multifaceted role of influencer marketing in bridging trust gaps and enhancing consumer confidence in e-commerce platforms. Influencer marketing leverages the social capital and credibility of individuals with significant followings on platforms such as Instagram, YouTube, and TikTok. These influencers, categorized as macro, micro, and nano-influencers, connect with audiences through authentic and relatable content. By endorsing e-commerce products and services, they serve as intermediaries who build trust by humanizing brands and reducing perceived risks. The study underscores the importance of authenticity, transparency, and personal engagement in successful influencer campaigns. It also highlights the growing impact of micro and nano-influencers, who often have niche audiences with higher engagement rates and stronger bonds of trust. The research delves into critical factors influencing the effectiveness of influencer marketing in building trust. These factors include the alignment between influencers and brand values, the quality of content, engagement metrics, and the role of storytelling in fostering emotional connections. Furthermore, the study examines the psychological and behavioral aspects of customer trust, emphasizing how influencer endorsements address uncertainties and encourage purchase decisions. This study also explores the challenges faced by e-commerce platforms and influencers in navigating the competitive digital landscape. Issues such as influencer credibility, fake followers, and evolving consumer expectations are analyzed. Additionally, emerging trends such as live-stream shopping, the use of augmented reality (AR) in influencer campaigns, and the integration of artificial intelligence (AI) for personalized marketing are discussed. The implications of this study are twofold: theoretical and practical. Academically, it contributes to the growing body of literature on digital marketing and trust dynamics in e-commerce. Practically, it offers actionable recommendations for e-commerce brands to optimize their influencer marketing strategies. These include selecting influencers based on relevance and credibility, fostering long-term collaborations, and incorporating consumer feedback to enhance campaign authenticity. In conclusion, influencer marketing is a transformative tool for building customer trust in e-commerce platforms. As the digital landscape continues to evolve, brands must prioritize authenticity, transparency, and innovation to remain competitive and cultivate lasting consumer relationships. This research provides a comprehensive framework for understanding and leveraging influencer marketing as a trust-building mechanism, paving the way for more impactful and sustainable e-commerce strategies.

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Key Words Influencer Marketing, Customer Trust, E-Commerce Platforms, Social Media Marketing, Consumer Behavior, Digital Marketing, Brand Credibility, Online Shopping, Trust Building Strategies, Influencer-Consumer Relationship, Purchase Intentions, Electronic Word of Mouth (eWOM), Content Marketing, Influencer Endorsements, Consumer Engagement.

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The word "cosmetics," which comes from the Greek word "kosmeticos," describes substances used to enhance or beautify look. Humans have wanted to seem beautiful from the time of the tribes. Toxic chemicals included in beauty goods can be detrimental to one's health. These items include skincare, hair, perfumes, dental care, and nail care. These goods are particularly appealing to women. With a global market value of over $20 billion, the cosmetics business plays a big role in the beauty sector. But there is a negative aspect to these products as well. Beyond permissible bounds, toxic compounds and dangerous chemicals are added, which might seriously harm organs and skin and perhaps cause cancer. Since cosmetics are now widely used in both everyday life and fashion, it is imperative to increase awareness of their negative consequences.

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COSMETIC AND THEIR RELATED SIDE EFFECT: A SHORT OVERVIEW

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Berg Balance Scale (BBS) AND Activities Balance confidence scale (ABC).

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This piece delves into the shift from behaviorism to constructivism in the realm of education, emphasizing the importance of constructivism in transforming modern teaching methods. It starts by providing a historical context for behaviorism's impact on education, before introducing constructivism as a new theory of learning. By contrasting the viewpoints of behaviorism and constructivism, the piece shows how constructivism overcomes the shortcomings of behaviorism and provides a broader view of the learning process. It examines how constructivist ideas influence teaching techniques, the design of the curriculum, and methods of evaluating student progress, with examples of constructivist practices in educational environments. Additionally, it points out the obstacles to implementing constructivism and discusses ways to encourage its integration into educational practices. In conclusion, it calls on teachers to adopt constructivism and to reconsider conventional teaching and learning approaches.

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Behaviorism, Constructivism, Educational practice and Alternative Learning Theory

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This study investigated the effects of a targeted training program on key performance metrics compared to a control group. The primary objective was to evaluate pre- and post-test differences in orientation ability, skill performance, and physical attributes. Data analysis revealed significant improvements in the training group, with notable reductions in mean values and standard deviations across various parameters. For instance, orientation ability showed a 7.93% improvement, with a mean difference of 1.034 (t=6.956, p=0.000). Similarly, skill-related metrics demonstrated substantial gains, such as a 28.19% enhancement in performance scores (t=6.559, p=0.000). In contrast, the control group exhibited minimal or statistically insignificant changes across the same variables, confirming the efficacy of the intervention. The findings highlight the role of systematic training programs in optimizing performance metrics, including reaction time, coordination, and task-specific skills. Statistical analysis, employing paired t-tests and percentage change evaluations, underscores the program's significant impact compared to natural progression in a non-intervention scenario. This study contributes to the growing evidence supporting structured training regimens for skill enhancement and physical performance improvement, with implications for educational, athletic, and professional domains.

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Training efficacy, orientation ability, skill performance, physical attributes, statistical analysis, structured training, control group comparison, performance enhancement, pre- and post-test evaluation

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The increasing use of electronic devices has led to a rise in electronic waste (e-waste), which poses significant environmental concerns due to the presence of harmful materials that take centuries to degrade. The use of electronic devices follows a tremendous upward curve. In the consequence, a great deal of electronic waste in the environment is being faced. Such materials pose critical environmental concerns because some materials take thousands of years to degrade. This is added by conventional energy storage devices such as lithium-ion batteries that are created from non-biodegradable materials. Based on the research done, this paper introduces the development of biodegradable energy storage devices from plant-based materials like nanocellulose and biodegradable metals such as magnesium (Mg) and zinc (Zn). High performance, breakable under regulated environmental conditions, these biodegradable devices constitute less e-waste for green electronics. The main concern of the study is the design and testing of such devices to enable efficient as well as sustainable storage of energy, in lieu of offering an ecofriendly alternative in comparison to conventional technologies. Recent issues worldwide are related to environmental concerns due to e-waste because it is produced by the massive scale of production and disposal of electronic devices.

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Biodegradable Electronics Energy Storage Devices, Nanocellulose, Magnesium (Mg) and Zinc (Zn) ,Environmental Sustainability, Green Electronics

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This abstract probes various methods that facilitate active engagement with texts, including skimming, scanning. Skimming allows readers to grasp the main ideas quickly, while scanning targets specific information efficiently. Note-taking encourages deeper processing of content, aiding in the synthesis of knowledge and retention over time. Summarizing reinforces understanding by requiring readers to distill information into their own words. Advanced techniques, such as the SQ3R (Survey, Question, Read, Recite, Review) method, further enhance learning by promoting critical thinking and structured review. By employing a combination of these strategies, readers can improve their overall reading efficacy, foster lifelong learning skills, and adapt to diverse reading contexts, from academic texts to digital content. This abstract serves as a foundation for educators and learners alike to explore and implement effective reading techniques that cater to individual needs and learning objectives.

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Skimming - Scanning- Intensive - extensive reading- Active - Critical reading- SQ3R- Comprehensive reading-Real life reading-levels of reading-Real life reading

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In the digital age, data is at the heart of modern business operations, making its protection a critical concern. This paper explores the evolving landscape of data security and privacy within organizations, emphasizing the human factor in safeguarding sensitive information. While technical defenses like encryption and firewalls are essential, the role of employees, customers, and business partners cannot be overlooked. Human errors, such as accidental data breaches or mishandling of information, can compromise even the most sophisticated systems.We delve into strategies that blend advanced technologies with employee awareness, emphasizing the importance of cultivating a culture of vigilance and accountability. Moreover, as businesses collect and store vast amounts of personal data, they must navigate the ethical implications of privacy protection. Balancing the need for data utilization with respect for individual privacy rights has never been more challenging.Through this research, we aim to highlight best practices for organizations to foster trust while minimizing risks, creating a more secure and privacy-conscious environment. Ultimately, data protection is not just a technical issue but a human one, demanding a holistic approach that values both security and the individuals behind the data. In a world where data can be a company's greatest asset or its biggest vulnerability, we must find a balance between harnessing its potential and respecting the privacy of the people behind the data. This paper provides insights into creating a culture of security that not only protects business interests but also builds lasting trust with customers and stakeholders.

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Data Protection, Privacy Ethics, Data Regulation Compliance, Data Breach Prevention, Customer Privacy, Cyber security

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In the face of unpredictable natural calamities, the capacity to quantify structural damage with precision could redefine the boundaries of post-disaster recovery and resource allocation. Automating the classification of building damage can expedite the process of distributing aid and reduce reliance on manual inspection. Accurate damage assessment is critical not only for post-earthquake recovery but also for taking pre-emptive measures to strengthen vulnerable structures. In this paper, we explore machine learning techniques such as AdaBoost, CatBoost, and a stacking ensemble to classify earthquake-induced building damage using data from the Gorkha earthquake. The methodology incorporates steps such as feature encoding, model training, and ensemble learning to enhance prediction accuracy. Key structural features--including building age, number of floors, foundation type, area percentage, and secondary usage--are integrated into the models to assess the predicted damage severity.

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Earthquake Damage Prediction, Building Damage Assessment, Ensemble Learning, CatBoost, XGBoost, AdaBoost, LightGBM, Machine Learning, Stacking Ensemble, Structural Attributes, Gorkha Earthquake Dataset

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Indian National Movement and Development of Freedom of Press

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Indian National Movement and Development of Freedom of Press

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This study introduces an innovative inventory model for items with non-instantaneous deterioration, integrating nonlinear stock-dependent demand, hybrid payment schemes, and partially backlogged shortages. Unlike traditional models, which often assume immediate deterioration and linear demand, our approach captures the gradual quality decline of items and the dynamic nature of demand influenced by inventory levels. The model incorporates a hybrid payment scheme, blending immediate and deferred payments, offering businesses increased financial flexibility. Additionally, it addresses partially backlogged shortages, where some unmet demand is backordered while the rest is lost. We formulate the model mathematically and derive optimal inventory policies to minimize total costs, encompassing holding, ordering, deterioration, and shortage costs. Through sensitivity analysis, we explore the impact of key parameters, demonstrating the model's robustness and practical relevance. The findings reveal that accounting for nonlinear demand, hybrid payments, and partial backlogging can significantly enhance inventory management efficiency and cost-effectiveness, making this model a valuable tool for practitioners in complex supply chain environments.

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Inventory model, non-instantaneous deterioration, nonlinear stock-dependent demand, hybrid payment scheme, partially backlogged shortages, supply chain management, optimal inventory policies, total cost minimization, sensitivity analysis, financial flexibility.

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Abstract: Carwash is an obligatory business in the UAE to adhere to policies and regulations. Operational excellence is a challenging process of any business and especially for the service sector. The Geowash technique was new to UAE and successfully implemented by the Q2 car wash company and running their business. The general cleaning company in Abu Dhabi is specialized with Geowash and introduced lean management concept in their business to achieve operational excellence. Their customer service, employee's commitment and affordability and extended service and less waiting time and eco-friendly carwash are their key parameters for success. Their service is endorsed by the government of UAE and achieved many awards for their service excellence across the world. Q2 car wash company ensures their systems remain efficient, safe, and competitive in the ever-changing landscape of car wash services.

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Keywords: Carwash, operational excellence, lean management, service excellence, customer service.

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“Shreemadbhagvat Geeta Me Nihit Nishkam Karmyog Ki Vartaman Paripekshya me Prasangeeta"

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“Shreemadbhagvat Geeta Me Nihit Nishkam Karmyog Ki Vartaman Paripekshya me Prasangeeta"

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A brand is a combination of objective, seductive, and heartfelt awards to the buyer. A profitable brand is a recognizable item, administration, individual, or location that has been expanded so that the purchaser or client perceives substantial, outstanding additional features that most closely match their demands. Furthermore, its success stems from the ability to maintain these extra attributes in the face of competition. A brand has no monetary value unless it can transmit advantages. To say that a lack of benefit is a business issue rather than a brand issue is to separate the brand from the business, an academic enticement. Unquestionably, brands may be deconstructed from the perspectives of human science, brain research, semiotics, humanities, theory, and so on, yet they were clearly created for business goals and are still in use today.

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Creative Commons Attribution 4.0 and The Open Definition

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Brand Identity, Consumer Behaviour, Competitor analysis, Market research and Consumer behavior.

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Creative Commons Attribution 4.0 and The Open Definition