Volume 12 | Issue 5

 Abstract

Institutions annually witness a significant number of graduating students requiring clearance from various departments, a process traditionally executed through physical visits to different offices. However, this conventional method is marred by inefficiencies including time consumption, staff unavailability, and data management issues. To address these shortcomings, an online clearance system was developed, utilizing modern web technologies. The system, developed with Angular for the frontend and Node.js for the backend, along with MongoDb for database design, revolutionizes the clearance process. Incorporating Angular for the frontend enhances user experience with its dynamic and responsive interface, while Node.js ensures efficient data processing and server-side operations. Evaluation involving 500 students and 60 staff members yielded promising results, with approximately 90.1%, 92.8%, and 95.3% affirming its usability, service delivery convenience, and accessibility, respectively. This research underscores the system's efficacy in facilitating efficient and effective clearance procedures, enhancing the institution's administrative workflow.

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virtual clearance gateway, Angular, Node.js, Accessibility

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E-resources are valuable resources for 21st century learners. In the digital age, ICT is regarded as the backbone of entire teaching learning process. The main objective of the study is to study the awareness and usability of E-resources for undergraduate students. The study was conducted by following survey method, in which a sample of 60 students were selected through convenience sampling. Self -developed tool was used for data collection. The findings of the study highlight that students of non-govt. aided institutions are moderately aware about E-Books, E-Journals and their usability. So, E-resources has significant implications for enhancing the potentialities of the learners.

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ICT, E-resources, awareness, availability, usability and undergraduate students.

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This abstract presents a novel method that makes use of drones and image processing tools to identify medicinal plants in distant forest areas. With the help of the Jupyter IDE and Python programming language, the study uses the Vgg19 Convolutional Neural Network (CNN) to accurately identify plants. Drones can be used to explore inaccessible areas, which improves conservation and biodiversity monitoring initiatives. Real-time analysis is made possible by the integration of image processing techniques, which helps researchers and conservationists make decisions quickly. In the end, our approach promises to transform the identification and monitoring of medicinal plants, supporting biodiversity preservation and sustainable resource management.

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Image processing , Vgg19 , Areal drone detection

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Abstract- The emergence of electric cars (EVs) in India has positive implications for the future of the transportation business. India is one of the globe's marketplaces for automobiles that are expanding at a rapid pace, and the adoption of electric vehicles (EVs) there could have a major impact on the economics, environment, and energy security of the entire country. India dominates the world in EV usage for many causes. By 2030, the Indian government wants to electrify 30% of all vehicles on the road. The government has made several pronouncements to that effect, including tax rebates, financial aid, and expenditures in infrastructure for charging. In addition, EVs offer a number of benefits over conventional internal combustion engine (ICE) cars, including reduced operating costs, fewer pollutants, and increased energy efficiency. These benefits are particularly important in India, where fuel costs fluctuate and air pollution is a serious public health issue. The introduction of EVs in India still encounters a number of issues. They involve a dearth of infrastructure for charging, a small variety of EV models, and expensive initial expenses for EVs. The Indian government continues to attempt to boost the nation's charging infrastructure, encourage indigenous EV production, and offer incentives for EV usage to resolve these problems. In conclusion, India's increasing adoption of electric vehicles has the potential to completely transform the country's transportation sector and clear the way for a more flourishing and environmentally friendly future. Even though there are still issues to be resolved, the Indian government's commitment to electric transportation and consumers' growing interest in EVs indicate that the technology has a promising future. The introduction of EVs in India still encounters a number of issues. They involve a dearth of infrastructure for charging, a small variety of EV models, and expensive initial expenses for EVs. The Indian government continues to attempt to boost the nation's charging infrastructure, encourage indigenous EV production, and offer incentives for EV usage to solve issues.

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EV

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Creative Commons Attribution 4.0 and The Open Definition

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Phytochemical Analysis, DPPH, ABTS, Free Radical Scavenging, Anti Pyretic Activity

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Creative Commons Attribution 4.0 and The Open Definition

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???? ??? ???-???? ??? ????????? ????? (??? ????? ?? ??? ??? ???) ???? ??? ???-???? ??? ?? ????? ????? ??????? ??? ???? ??? ?? ???? ?? ?????? ????? ?? ???? ??? ???-???? ??? ?? ???????? ?? ???? ? ???? ??? ???? ??? ?? ?? ???? ?? ??? ??????? ???? ???, ???? -??????? ?????????? ??? ?? ?????????? ?? ??? ? ?????? ???????? ???? ??? ???????? ??? ? ??? ??? ??? ?? ????? ?? ??????? ????? ??????? ???? ???? ??? ?? ?? ??, ???????????? ?? ??? ???????? ?? ????- ????????? ?? ???? '????? ???? ???? ?' ?? ?? ??? ???? - "???????? ???????? ?????????????? ???, ???? ??? ???? ???????? ??? ????????????????????? ?????? ?? ??? ?? ??? ?? ??? ??? ?? ?????????? ?? ??? ????? ???? ??????? ?? ?? ??????? ?? ??????????? ?? ???"1 ???????????????????? ???? ??? ???? ???-???? ??? ?? ??????? ??????? ??????????????? ????????? ??? ?? ???? ??? ???? ??? ?? ?????? ??? ???? ??? ??? ???? ?? ??? ???????? ???? ????? ????? ?? ??? ?? ??????? ?????? ????? ?? ??? ????? ?? ???-???? ??? ???????? ??? ? ??? ????????? ?? ??? ?????? ?? ???? ??? ?????? ????????? ??????? ???? ?????? ??? ????? ?? ??? ?????????? ????? ??, ?? ??? ?????? ?????? ????? ?? ?? ?? ?????? ?? ???? ???? ????? ? ????, ?????? ??? ?? '? ????? ????????????? ?? ?? ??? ?'?7. ??? ? ?????? ????? ??? ????????? ? ?? ?? ??? ?? ?? ? ??? ??? ?? ??? ??????????? ?????????? ???????? ????-???? ?? ?????? ?? ????????? ??? ??? ????????? ????????? ????? ????????? ?? ?????? ??????????? ??? ?? ???? ?? ??? ????? ?????????? - ????????? , ????????? ?? ?????????? ?? ????? ???? ? ?? ?????? ??? ?????? ?? ?????? ?? ???????? ????? ?? ?? ??? ???? ????? ??? ????? ?? ?? ?? ????? ? ?? ??? ?????? ???????? ?????-?? ??? ??????? ?? ???? ???? ????? ??; ??????? ?????? ??? ??????? ?? ?????????? ????? ???? ?? ????? ???? ??? ???- ??????? ?????? ???????? ??? ????? ??? ? ??? ?? ?????? ???????????? ???????????? ???????8. ????? ????? ?? ?????????????? ??????-??????????? ?? ??? ????????? ?? '????? ?????' '?? ??????' ???? ?????? ?? ???????? ??'?? ????? ?????? ??????? ???? ????? ???? ??? ??? ?????? ?????? ?? ???? ???? ?????" ?? ????? ?? ???? ? ??? ?? ???? ???? ???? ????? ??? ?? ????? ???? ?? ?? ??? ??????? ???? ??? ?? ?? ??????? ?? ??? ?????? ??? ????? ??????? ??? ???? ??? ?? ????? ??????? ?? ?????? ?? ??????? ????? ??? ????? ?? ????????? ?? ?? ??????? ???? ??? ????? ?? ?? ??? ?? ??? ??? ????? ?? ???? ?? ?????? ?? ??? ?????? ? ???????? ??? ????? ? ?? ?? ????????? ????? ???? ?? ?? ?? ????? ? ???? ???? ????? ?? ???? ????? ?????????? ?? ????????? ??? ?? ??? ? '?????? ?? ?? ?? ???' 16. ????????? ??? ?? ?? ?? ??? ???? ??????? ?? ???? ?? ?? ????? ?? ? ??-?? ?????? ??? ?? ???? ??? ?? ?? ? ?? ??? ?? ???? ??? ??? ?? ?????? ???? ?? ????????? ???? ??? ???? ???? ?? ??? ???? ?? ???? ?? ??? ???? - ???? ?????? ??????? ????? ?? ???????????????????? ??? ?? ????? ?? ? ?????????? ????? ?? ???? ?? ?? 17. ????? ???? ??? ??? ?????? ????? ?? ??? ?? ?? ??, ?? ???????????? ?? ??? ?? ???? ??, ??? ??????? ??? ????? ?? ?????? ??? ?? ?? ?? ?????? ?? ?? ?? ?? ??? ?????" '????? ??? ?????? ??? ?????? ????? ????? ???? ? ??? 18. ?? ???? ? ????? ????? ?? ???? ? ????? ??????????? ?????????? ????? ????? ? ????????? ? ????? ??? ?????? ????? ????? ?" ?? 19. ????? ??'?? ??? ?????? ????? ? ?? ???????? ????? ???????? ???? ??' ????? ??? ???? ?????? (????) ?? ????? ?????? ???? ?? ??? ? (???) ?? ?? ??? ??? ???? '??????????? ?? ?? ??? 20. ????????? ??? ?? ????? ?? ?? ??? ?? ???? ?? ???????? ????? ??? ??????? ?? ?? ??? ?? ???? ?????? ??? ?????? ??? ??????? ?? ??????? ?? ?????? ??????? ?? ???? ?? ????? ?? ?? ??? ???? ?? ??? ?? ?? ?? ??? ????? ???? ?????? ???? ????????? ???? ???????? ??? ??? ?????? ?? ???? ???????? ?? ?? ????? ?? ??????? ???? ???????? ??? ???????? ??????? ??? ?? ???? ???? ??? ??? ??? ?? ?? ?? ?? ?? ?????? ??? ???? ???? ??? ?? ????? ????? ????? ??? ???? "???????? ?? ????? ????? ???????? ???? ?? 1. ??.?. ????????????? ?? ? ???????, ????????, ?.? 27? 2. ?????? , ?.? 27-281 3.?.????? ??? ?? ??? ??? , ????? ???????? ??431. 4.?????? , ?.? 271 | 5.?.???.?.? ??? ., ??????? ?????, ?.? 217? 6.Water W. Skeat. Etymological Dictionary of the English Language oxford and Edition, 1883. 7.???????, ?????? ????,??? 180/131 8.?.? . ?????? ?????- 4. ?.? 2? 9.. ?????? , ?.?459. ?.? 195 10..?.? . ?????- 41/2/?.? 14.?

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?????? ?????, ?? ??? ? ?????? ?????,,, ??????? ???? ??? ,????????

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This paper provides a comprehensive examination of the role and challenges faced by the police within the criminal justice system of India. It traces the historical evolution of law enforcement in India from its colonial origins, emphasizing the transition to a modernized system post-independence. The multifaceted responsibilities of the police, including crime prevention, investigation, maintenance of law and order, and protection of human rights, are meticulously analyzed within the context of the Indian legal framework. The study scrutinizes key legislative acts such as the Indian Penal Code and the Code of Criminal Procedure, elucidating their impact on policing practices. Furthermore, the paper identifies and explores the myriad challenges confronting the Indian police force, ranging from staffing shortages and outdated laws to corruption and lack of modern resources. It proposes a series of comprehensive reforms aimed at addressing these challenges, encompassing enhancements in manpower, infrastructure, training, and accountability measures. By advocating for these reforms, the paper underscores the imperative of establishing a professional, accountable, and effective police force to uphold the rule of law and maintain public trust in India's criminal justice system, thereby contributing to a safer and more just society for all its citizens.

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Indian police, criminal justice system, law enforcement, crime prevention, investigation, law and order, human rights, legal framework, challenges, reforms, accountability, professionalism, infrastructure, staffing shortages, corruption.

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To enhance the accuracy of Aedes larvae identification stands as a crucial initial measure in combating mosquito-borne diseases such as Dengue and the Zika virus. This project proposes an innovative approach by harnessing the power of deep learning, specifically employing convolutional neural networks (CNNs), to automate the segmentation of Aedes larvae from images captured in diverse watery settings. Uploading pictures of prospective breeding locations is requested of users. After analyzing these photos, the deep learning network generates conclusions on whether Aedes larvae are present. Our proposed system comprises two integral components: Classification and Image acquisition & Segmentation. Classification: In our approach to mosquito larvae classification, we use deep learning architectures like VGG16, VGG19, ResNet50, ResNet152, and InceptionV3. The utilization of VGG16 and VGG19 enables us to harness deep convolutional networks with multiple layers, while ResNet50 and ResNet152 leverage residual learning to enhance model training and facilitate more effective feature extraction. Additionally, InceptionV3's inception modules contribute to the overall efficiency by capturing intricate spatial hierarchies in the larval images. Image acquisition & Segmentation: In our segmentation framework for mosquito larvae analysis, we adopt the Unet++ module, a superior alternative to the Unet segmentation approach. The decision to employ Unet++ stems from its demonstrated efficiency and notable advantages over the standard Unet model. The capabilities of Unet++ not only elevate segmentation accuracy but also contribute to improved boundary delineation and finer-grained analysis. By embracing Unet++, our segmentation module stands poised to deliver superior results, underlining our commitment to leveraging cutting-edge methodologies for robust mosquito larvae analysis in vector control efforts.

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Aedes Larvae, Identification, Segmentation, Unet++

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The project at hand represents a groundbreaking endeavor, delving deep into the realms of innovation, sustainability, and agricultural advancement. At its core lies the conception, planning, and realization of a revolutionary portable pellet mill, ingeniously fueled by solar power. This visionary initiative not only aims to redefine biomass processing but also seeks to address the pressing global need for renewable energy solutions while catering to the specific challenges faced in the Indian context. In a world increasingly cognizant of the finite nature of fossil fuels and the urgent imperative to mitigate climate change, the quest for sustainable alternatives has never been more crucial. Against this backdrop, the fusion of solar energy with pellet mill technology presents a beacon of hope, offering a tangible pathway towards a greener, more ecologically balanced future. Central to the project's mission is the transformation of biomass processing, a cornerstone of agricultural productivity, and resource utilization. By harnessing the abundant energy of the sun, the portable pellet mill not only promises to streamline pellet production but also significantly reduce its environmental footprint. This synergy of renewable energy and innovative machinery heralds a paradigm shift in the way we approach not only biomass processing but also agricultural sustainability as a whole. The significance of this endeavor is particularly pronounced in the context of India's agricultural landscape, where challenges such as the gap between demand and supply of compound feeds for livestock loom large. With approximately 57% of this gap remaining unmet, the vulnerability of dairy farmers to disruptions in trade becomes glaringly apparent. The project thus assumes a pivotal role in addressing this critical issue, offering a locally adaptable solution that empowers farmers to take control of their feed production, mitigating the risk of price fluctuations and ensuring the affordability of essential cattle pellets. Moreover, the accessibility of the technology is a key factor in its potential impact. Traditional feed pelleting machines, while effective, often come with prohibitive costs that place them beyond the reach of individual farmers. Recognizing this barrier, the project endeavors to democratize access to pellet production technology, making it feasible for even small-scale farmers to adopt and benefit from its advantages. In doing so, it not only promotes economic empowerment at the grassroots level but also fosters a culture of self-sufficiency and resilience within agricultural communities. Beyond its immediate practical implications, the project holds the promise of broader socio-economic and environmental benefits. By reducing dependence on fossil fuels and minimizing carbon emissions, the integration of solar power into pellet production aligns with global efforts to combat climate change and mitigate environmental degradation. Furthermore, the utilization of locally available biomass resources for feed production enhances resource efficiency and promotes circular economy principles, thereby fostering sustainable agricultural practices and contributing to food security objectives. In summary, the endeavor to develop a portable pellet mill powered by solar energy represents a pioneering step towards a more sustainable, resilient, and inclusive agricultural future. By marrying cutting-edge technology with a commitment to environmental stewardship and social equity, the project not only addresses pressing challenges but also unlocks new opportunities for innovation, empowerment, and progress. As we embark on this transformative journey, the vision of a world where sustainable energy powers sustainable agriculture stands within reach, awaiting only the dedication and ingenuity of those willing to seize it.

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Compounded cattle feed, Development, Pelleting capacity, Portable Pelletizer, Solar powered pelletizer, shredder, Mixer.

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Thirteen native plant remedies for child diseases and twenty-one for woman diseases, prevalent among different ethnic groups of Assam, are reported along with local names of the plants, method of administration and prescribed dose.

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Andrographis paniculata Ananas comosus Argemone mexicana , Blumea balsamifera, Clitoria ternatea , Curcuma zedoaria

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The research paper introduces an innovative AI-driven web application designed for precise nutritional analysis of fruits and vegetables. The application addresses key challenges in food management, including food identification, freshness evaluation, and nutritional monitoring. By leveraging advanced image recognition technology, users can quickly identify various foods and dishes by taking a photo. This capability provides users with detailed information about ingredients and potential recipes, streamlining meal preparation and promoting informed food choices. The application features a tailored data model for assessing food freshness. By evaluating appearance, smell, and texture, the app can determine the quality of foods, helping users minimize food waste and ensure safer consumption. This is particularly useful for individuals aiming to adopt more sustainable practices in their everyday lives. A standout feature of the application is its nutritional tracker, which provides users with comprehensive nutritional information on different foods. This includes data on calories, macronutrients such as proteins, fats, and carbohydrates, as well as vitamins and minerals. Such detailed information empowers users to monitor their dietary intake more effectively, supporting their health and wellness goals. Incorporating these functionalities into a single web application represents a major advancement in food management and nutrition. Users are equipped with a robust tool to enhance their food-related experiences, making healthier and more sustainable choices. Moreover, the application contributes to global ef orts to reduce food waste and promote healthier eating habits, aligning with the broader objectives of improving public health and environmental sustainability.Overall, this AI-driven web application showcases the potential of integrating modern technology into the realm of nutrition and food management, offering significant benefits to users and society as a whole.

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Innovative AI, Image recognition

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Platinum-based metallodrugs, e.g. cisplatin, oxaliplatin, carboplatin, have been successfully used as effective anticancer drugs in the clinical treatment of cancer. These derivatives are being used for more than 50% of treatment regimens worldwide for cancer patients.[1-3] However, their remarkable success is marred by clinical limitations, including acquired or intrinsic resistance problems, limited spectrum of activity, less target specificity and high toxicity leading to side effects. These limitations have stimulated us to design and synthesize new metal-based drugs with more effectiveness, less toxicity, target specificity and preferably non-covalent DNA binding

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Palladium Complexes, Crystal structure, DNA-interaction, Cytotoxicity

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Pathogenesis, Microorganisms, WHO, Antimicrobial, Antitoxin, Immunomodulatory

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The Second National Commission of Labor which submitted its report in June 2002, had recommended that existing set of labour laws should be broadly amalgamated the following groups, namely:- (a) Industrial Relations; (b) Wages; (c) Social Security; (d) Safety ; and (e) Welfare and working conditions. In pursuance if the recommendations of the said Commission and the deliberations made in the tripartite meeting comprising of the Government, employers and industry representatives , it has been decided to bring the proposed legislation. The proposed legislation intends to amalgamate, simplify and rationalize the relevant provisions of the following four central labour enactments relating to wages namely:- (a) The Payment of Wages Act, 1936; (b) The Minimum Wages Act.1948 (c) The Payment of Wages Act, 1965;and (d) The Equal Remuneration Act, 1976 The amalgamation of the said laws will facilitate the implementation and also remove multiplicity of definitions and authorities without compromising on the basic concepts of welfare and benefits to workers. The Proposed legislation would bring transparency and accountability which would lead to more effective enforcement. Widening the scope of minimum wages to all workers would be a big step of equity. The facilitation for ease of compliance of labour laws will promote setting up of more enterprises thus catalyzing the creation of employment opportunities.

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Wages, Labour, legislation, laws, working condition

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Creative Commons Attribution 4.0 and The Open Definition

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Customer retention in the hotel industry indeed presents several challenges. The competitive landscape is intense, with numerous businesses vying for the same clientele. This constant competition necessitates ongoing innovation and the provision of unique experiences to keep customers coming back. Moreover, customer expectations and preferences are continually evolving. Modern guests demand personalized attention, swift service, and seamless online booking processes. This dynamic requires hospitality businesses to swiftly adapt to remain relevant and competitive. The hotel sector encounters difficulties in retaining skilled employees, demanding a concentrated effort in crafting successful retention strategies. Neglecting this aspect can harm organizational performance and hinder sustained development. Hence, the objective of this study is to comprehensively analyse and assess the employee retention tactics utilized within the hospitality industry The study's results highlight that retaining skilled employees for extended periods hinges on their satisfaction, influenced by four crucial factors: a consistently positive work environment, opportunities for career growth, transparent and sustainable communication, and efficient hiring procedures. To enhance retention, the study proposes a revamped hiring framework tailored to the hospitality sector. Additionally, it provides actionable insights for bolstering retention strategies. Dissatisfied employees tend to seek greener pastures, whereas content employees are inclined to stay put. The study also delves into the managerial ramifications of these findings.

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Customer satisfaction, loyalty, talented employees, retention strategies,

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This study explores how consumer perceptions influence the market demand for tribal products in the Nilgiris District, focusing on consumer awareness and perceived quality. Given the economic and cultural importance of these products, understanding the factors that drive consumer behavior is critical. The research employs a descriptive design and utilizes convenience sampling to collect data from 107 respondents through structured questionnaires, supplemented by secondary data for comprehensive coverage. Findings indicate a significant relationship between consumer perceptions and market demand, highlighted by the strong influence of perceived quality on purchasing decisions. Specifically, consumer awareness of tribal products, while high, showed a lesser direct impact on market demand compared to the perceived quality, which was strongly correlated with purchase behavior. This suggests that enhancing the perceived quality of tribal products could significantly boost market demand. Based on these findings, the study recommends intensifying marketing efforts to increase consumer awareness and highlight the unique aspects of tribal products through various media. Moreover, standardizing quality control measures could improve the consistency and overall perception of quality, further driving market demand. Ultimately, this research underscores the need for strategies that not only focus on enhancing product visibility but also on maintaining high quality to meet consumer expectations effectively. The conclusion drawn is that by addressing these key factors, there can be a substantial improvement in market demand for tribal products, benefiting the local economy and supporting the sustainability of tribal communities.

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Tribal Products, Consumer Perceptions, Market Demand, Nilgiris District, Cultural Significance

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT Weaning is the process of giving an infant other foods and liquids with breast milk after the age of 6 months as breast milk alone is not sufficient to meet the nutritional requirements of growing baby. It is the process by which the infant gradually becomes habituated to adult diet. Under nutrition remains one of the most common causes of morbidity and mortality among children globally, which is directly or indirectly related to knowledge of months regarding weaning. The present "A Descriptive study to assess the level of knowledge Regarding Weaning Among Nursing Mothers in Pediatric OPD of SMIH Patel Nagar, Dehradun, Uttarakhand with a view to develop informational booklet.'' AIM: To assess the level of knowledge Regarding Weaning Among Nursing Mothers in Pediatric OPD of SMIH Patel Nagar, Dehradun, Uttarakhand OBJECTIVE OF THE STUDY 1. To assess the level of knowledge regarding weaning among nursing mothers. 2. To find the association between level of knowledge of nursing mothers with their socio -demographic variables. METHODOLOGY The nature of the study was non-experimental. The study was conducted in Pediatric OPD SMIH, Patel Nagar, Dehradun; the research design use for the study was Non- Experimental descriptive research design. Total 49 nursing mothers were selected through purposive sampling technique and data was collected using self structured knowledge questionnaires in pediatric OPD in Shri Mahant Indiresh hospital Dehradun, Uttarakhand.The data collected for to assess the level of knowledge regarding Weaning among Nursing Mothers. RESULT The analysis revealed that mothers of infant (28.75%) had good knowledge, (67.57%) had average and (4.08%) had poor knowledge regarding weaning. There was no significant association found between knowledge score of nursing mothers regarding weaning with their socio demographic variables. CONCLUSION: It can concluded that most of the mothers had average level of knowledge regarding weaning.

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Knowledge,Weaning ,Nursing Mothers

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Abstract Indian English Literature paved way for many writers to create their own space of words and self expression. Self expression of emotions and feelings has created the genre of confession through the renowned female writer Kamala Das. Holding the ancestral traditional values and the modern equations of society Kamala Das made her writings more unique. This paper is an analysis of how Kamala portrayed herself being tackled in the clutches color in My Story.

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Keywords: Discrimination, color, humiliation, self expression, authority

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This study introduces an innovative approach to Flood Damage Assessment (FDA) by integrating advanced technologies, including Remote Sensing (RS), Geographic Information System (GIS), and a state-of-the-art neural network architecture. A custom-designed Convolutional Neural Network (CNN), incorporating a UNET with ResNet-34 as a backbone pretrained on the CIFAR-10 ImageNet model, plays a pivotal role in achieving accurate flood mapping. The utilization of transfer learning enhances the model's ability to discern intricate patterns from high-resolution satellite imagery, addressing challenges in complex landscapes. The proposed methodology, validated with diverse datasets from real-world flood events, demonstrates the effectiveness of the integrated neural network in improving disaster management strategies. This research significantly contributes to advancing flood damage assessment methodologies, showcasing the synergy of RS, GIS, and cutting-edge CNN architectures for timely and accurate disaster response and recovery.

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Flood Damage Assessment, Remote Sensing, Geographic Information System, Convolutional Neural Network, Transfer Learning, Satellite Imagery, Disaster Management.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Orange peel, Osmotic dehydration, Water loss, Solid gain .

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Creative Commons Attribution 4.0 and The Open Definition