Volume 12 | Issue 5

 Abstract

This research paper presents the "User-Driven Generative AI Architectural Design" project, a pioneering endeavor aimed at reshaping architectural design methodologies that makes use of artificial intelligence (AI), notably Text-to-Image Generative Adversarial Networks (T2GAN), Stable Diffusion techniques, and Google Gemini for caption production. By combining user-driven inputs with AI-generated layouts, the "User-Driven Generative AI Architectural Design" initiative seeks to democratise architectural design. The collection of curated architectural layouts from real estate companies, architects, and the internet is used as the training dataset for the model. To increase diversity, rule-based techniques are added to the collection. This extensive dataset makes it easier to create a strong generative model that can generate architectural designs that are visually appealing. Through the integration of spoken language and the production of visual materials, this innovative method signifies a revolutionary development in the domains of architecture and interior design. The framework develops to create customised and contextually relevant architectural compositions through iterative refinement and user feedback mechanisms, representing a major step towards a more imaginative and user-centered architectural design approach.

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 Keywords

Generative AI, architectural design, GAN frameworks, Stable diffusion, user-driven design, linguistic expression, dataset curation, rule-based algorithms, visual content generation.

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Creative Commons Attribution 4.0 and The Open Definition

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In the canon of English Literature, especially in children's literature, the story of "The Selfish Giant" is immensely popular as it has an important moral message that is: Punishment for selfishness and Reward for kindness. It is the title which should be responsible to reflect that moral message of the story to its global readers in a complete sense. But here the title, "The Selfish Giant" semantically reflects only the selfishness of the Giant whereas it is seen in the story that the Giant becomes kind from almost the mid-portion of the story and remains kind still the end. So, this paper simply tries to uphold the fact that, to the global secular readers the title of this story is a little bit incomplete in the general sense as the story not only talks about selfishness but also talks about kindness. The complete title could have been "The Selfish Turned Kind Giant."

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 Keywords

Title, Incompleteness, Morality, Message, Children's Literature, Digital Literature, Online Study, Reader.

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The goal of this research study is to change the way traditional library operations are carried out by recommending the implementation of an RFID-enabled smart library system. The suggested solution addresses the common inefficiencies and human errors present in current library systems by automating the procedures of discovering and issuing books, improving user experience, and strengthening overall administration. The technology promises to improve resource accessibility and streamline operations through this novel method, opening the door to a more effective and efficient library environment. Libraries may now fulfil the changing needs of their patrons in the digital age by integrating RFID technology, which provides a contemporary answer to long-standing issues.

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Automation, Library Management and RFID technology.

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The emitted radiation (fluorescence intensity) is directly proportional to the concentration of the substance present which can be measured by fluorimeter. Molecules such as quinine sulphate having conjugated double bonds especially pi bonds are particularly suitable for fluorescence. Quinine sulphate in 0.05 N sulphuric acid gives blue fluorescence and the fluorescence intensity can be measured by fluorimeter with the excitation wave length of 360 nm using primary filter and with the emission wave length of 475 nm using secondary filter

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 Keywords

qunine sulphate ,flurometric

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Creative Commons Attribution 4.0 and The Open Definition

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Fake accounts are one of the significant problems on Instagram, which is used to spam users with unsolicited messages, advertisements, or links to malicious websites. It may be involved in various scams and fraudulent schemes, such as fake giveaways, investment scams, or online dating scams. And it may also be used to harass, intimidate, or bully individuals online. Such accounts directly affect the user's trust and enable a variety of harmful activities, including misinformation and fraud. Our research overcame all these problems and introduced a unique combination of web scraping and Selenium automation, as well as a fraud score generator. Users can input Instagram usernames, and the application gives profile data, including profile pictures, post counts, follower counts, and following counts. The algorithm initialized rate user function to assign the weights to these parameters and display the rating and comment variables. Based on the fraud score, it will categorize a given account into fake, real, and warning. This project serves as a valuable tool for users seeking to assess the credibility of Instagram accounts, providing a strong structure for authentication, analysis, and evaluation.

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Instagram, fake account, Selenium automation, web scraping, real-time identification, fraud score generator, comment variable, parameter weightage.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The design and construction of a multipurpose agricultural device that integrates a solar panel system is the main objective of this project. The idea is to combine many agricultural chores into one adaptable machine that is fueled by renewable energy sources, thereby providing small-scale farmers with an efficient and sustainable alternative. The multifunctional agricultural machinery integrates functions including seeding, harvesting, plowing, and spraying, all managed via an easy-to-use interface. The multipurpose agricultural machine is built and assembled during the fabrication phase of the project, which also includes the integration of the electrical and solar panel systems. Strict validation and testing protocols guarantee that the device satisfies safety requirements and performance benchmarks. The finished result is a creative approach to sustainable agriculture, providing small-scale farmers with a cost-effective and environmentally responsible substitute for conventional farming practices.

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Multipurpose, agriculture machine, solar, cost-effective, sustainable

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This paper introduces a pioneering method for music generation employing Variational Autoencoder (VAE) architecture, a powerful to Autoencoder of deep learning. Leveraging the VAE's capacity to learn latent representations of intricate data distributions, our approach encodes symbolic music representations into continuous latent spaces, enabling the generation of diverse and coherent musical sequences. Through training on a dataset of musical compositions, the VAE captures underlying structural nuances and stylistic elements, facilitating the generation of novel musical pieces by sampling latent vectors and decoding them into symbolic notation. We evaluate the efficacy of our methodology through quantitative metrics assessing diversity, coherence, and stylistic fidelity, alongside qualitative human evaluations of the generated music. Our findings illustrate that the VAE-based approach yields music compositions exhibiting both diversity and coherence, while maintaining fidelity to the stylistic attributes of the training data, suggesting the potential of VAEs as a compelling tool for creative music composition. This research contributes to the evolving landscape of deep learning in music generation, underscoring the promise of Variational Autoencoders in capturing and generating intricate musical structures.

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Variational Autoencoder, Music Generation, Deep Learning

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ABSTRACT A Simple, Precise, Accurate and Economical UV spectrophotometric method was developed and validated for estimation of Colchicine in bulk and pharmaceutical dosage form. The drug was highly soluble in distilled water, so it was selected as the solvent system. The detection wavelength of Colchicine was found to be 246 nm. The linearity of Colchicine was found to be in range of 2-20 ?g/ml with correlation coefficient value 0.995.The linear regression equation obtained by least square regression method, were y = 0.0176x-0.0112. The absorbance was found to increases linearly with increasing concentration of Colchicine. The correlation coefficient of Colchicine was found to be 0.995. The LOD and LOQ were found to be 2.94 ?g/ml and 8.92 ?g/ml respectively. Mean recovery of Colchicine was found to be in the range of 98.06% to 100.77% signifies the accuracy of method. The methods was also found to be precise as % RSD was less than 2. This method was validated as per ICH Q2 (R1) guidelines. The proposed methods were found to be accurate, specific and reproducible which can be effectively applied to pharmaceutical dosage form. Robustness obtained % RSD Was found to be 0.827 and % Purity obtained by assay was 98.60%. KEYWORDS: Colchicine , ICH Guidline , Distilled water , Method Development, Validation. ACKNOWLEDGEMENT: Authors are very much thankful to Miss. Shweta C. Pote Assistant Professor of MAHADEVRAO WANDRE INSTITUTE OF TECHNOLOGY TURKEWADI KOLHAPUR, MAHARASHTRA.

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Colchicine , ICH Guidline , Distilled water , Method Development, Validation.

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License Plate Recognition (LPR) systems have some common framework of steps for processing, such as, number plate detection, plate characters segmentation and recognition of each character. License Plate Recognition (LPR) systems have some common framework of steps for processing, such as: number plate detection, segmentation of plate characters and finally character recognition. The detection of the number plate is a challenging process because there is a large the diversity in the format of the number plate and the other reason is that environmental conditions becomes a problem in the image acquisition stage. The efficient plate detection plays a major role in accurate character segmentation and recognition. This paper provides a detailed study and analysis on the techniques which are in the forefront of license or number plate detection and recognition.

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number plate detection; character segmentation; character recognition

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Creative Commons Attribution 4.0 and The Open Definition

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Nestled in the picturesque landscapes of northeastern India, Manipur stands as a hidden gem, blessed with breathtaking natural beauty and a vibrant tapestry of indigenous cultures. This paper delves into the untapped potential of ecotourism as a catalyst for sustainable economic growth in Manipur. Through qualitative research methods, including literature review and realworld case studies, this study sheds light on the ecological, sociocultural, and economic aspects of ecotourism in the region. It underscores the significance of community participation, infrastructural development, conservation efforts, and effective marketing strategies in realizing the benefits of ecotourism. Moreover, it emphasizes the need for collaborative efforts between government bodies, local communities, and private enterprises to ensure the success and longevity of ecotourism initiatives. By adopting a holistic and inclusive approach, Manipur can harness the transformative power of ecotourism to safeguard its biodiversity, preserve indigenous heritage, create sustainable livelihoods, and uplift the wellbeing of its people.

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Ecotourism, Manipur, Sustainable Development, Biodiversity Conservation, Community Participation, Indigenous Culture, Economic Growth, Infrastructural Development, Collaborative Partnerships.

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The goal of the National Education Policy 2020 (NEP 2020) is to promote holistic student development and maximize learning outcomes through major improvements in educational assessment. In light of NEP 2020, this report examines recent advancements in educational assessment. It looks at important changes like moving from summative to formative assessment, creating a 360-degree holistic progress card, changing board exams to provide options and flexibility, monitoring student progress through exams in Grades 3, 5, and 8, and creating the National Assessment Centre, PARAKH. The National Testing Agency's (NTA) function in developing student talent and standardizing entrance tests for universities is also covered. NEP 2020 seeks to establish a dynamic educational ecosystem through these reforms that meets the varied requirements of students and is in line with the objectives of the twenty-first century and the Sustainable Development Goals of 2030.

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Keywords: Educational Assessment, Formative Assessment, Summative Assessment

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Microplastic pollution from synthetic clothes has emerged as a major environmental concern with far-reaching implications. This research investigates the sources, mechanisms, and effects of microplastics shed during the synthetic textile lifespan, which includes manufacturing, usage, and disposal. It investigates the ways by which these microfibers enter ecosystems, collect in diverse environmental compartments, and endanger aquatic and terrestrial animals, as well as public health.

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Microplastic, Primary Microplastic, Fast Fashion

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In recent times, a significant transformation in the field of processing the medical image is due to advancements in deep learning techniques by providing powerful tools for feature extraction, classification, segmentation, and generation. In this document, an extensive examination is conducted on the utilization of AI with deep methodologies in a range of image processing tasks. We begin by discussing the fundamentals of machine learning subset, entailing artificial neural networks(ANNs), generative adversarial networks (GANs), recurrent neural networks (RNNs), fully convolutional networks (FCNs), and convolutional neural networks (CNNs), highlighting their strengths and weaknesses in image analysis. Afterwards, we explore various practical uses of deep learning in the field of image processing. These include tasks like identifying objects within images, classifying images, segmenting images based on their content, enhancing image resolution, and transferring artistic styles onto images. Furthermore, we discuss challenges and future directions in leveraging advanced techniques in artificial intelligence, specifically deep learning, which are being utilized to enhance image processing, including interpretability, robustness, and scalability. By synthesizing existing literature and presenting insights into the latest advancements, this review serves as a valuable resource for researchers, practitioners, and enthusiasts seeking to harness the potential of deep learning for solving real-world image processing problems

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Image Processing, artificial networks, generative networks, recurrent networks, fully convolutional, and Convnet

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract Women's empowerment basically means giving them the ability to reshape the power dynamics between them and males in all areas of life, including social, political, religious, and economic. Any community can be empowered through actively participating in the development process. As everyone knows, without the active involvement of women, no society can advance and meet the sustainable development goals and the Millennium Development Goals. However, as a result of patriarchal subordination, women experience a range of discriminatory practices, inequality, oppression, harassment, and other issues. They have faced discrimination in every sphere of life, including social, political, economic, educational, and health. Aside from that, women have always been placed in a secondary role because of the predominately patriarchal culture. The Assam government also feels that purposeful schemes and policies are necessary to advance the cause of women's empowerment. These should aim to giving them the necessary authority to manage and control their own lives both inside and outside the house. The Assam government introduced several programs for women empowerment, such as the Vistarita Kanaklata Mahila Sabalikaran Yojana and Aideu Sandikoi Mahila Sanman Achani, Divyangjan Atma-Nirvar Achani, Mukhya Mantri, Jivika Sakhis, Orunodoi Scheme, etc. This paper discusses the Orunodoi Scheme and how it has affected women's empowerment in Assam.

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Orunodoi Scheme, Women empowerment, financial inclusion etc.

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Creative Commons Attribution 4.0 and The Open Definition

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Today's fast-paced lifestyle has a negative impact on our health due to pollution and harsh synthetic chemicals; therefore, nature has provided us with its timeless, noteworthy herbal elements. UV radiation is the main cause of sunburn and is also linked to dangerous skin cancer. A topical substance called sunscreen helps protect skin from UV rays by reflecting or absorbing part of the sun's UV rays. It may help avoid sunburn and lessen the negative effects of the sun, like skin cancer and early aging. The current study presents the formulations and evaluation of topical photo-protectives that include various photo-protective polyphenols as well as antioxidant, anti-malignant, antifungal, antiaging, moisturizing, and wound healing properties. The current study produces a natural photoprotective formulation that is stable and has Possessing anti-inflammatory, anti-proliferative, anti-malignant, antifungal, antiaging, antioxidant, and other photo-protective polyphenol properties. A durable natural photoprotective formulation with antioxidant qualities, a high SPF, and more essential homogeneous UVA/UVB protection is produced by the current research effort.

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 Keywords

fast-paced lifestyle, pollution, synthetic chemicals, herbal elements, UV radiation, sunburn, skin cancer, sunscreen, photoprotectives, polyphenols, antioxidant, anti-malignant, antifungal, antiaging, moisturizing, wound healing, formulation, evaluation, stable, anti-inflammatory, anti-proliferative, SPF, UVA, UVB protection

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The quest for self-worth in a world obsessed with appearance: This research delves into the connection between Self-Esteem and Objectified Body Consciousness in young adults, focusing on gender disparities. Using a comparative and correlational approach with 120 participants, the study reveals subtle yet notable distinctions in how self-worth and body image are perceived based on gender. Notably, women tend to express slightly lower self-worth and higher levels of objectified body consciousness compared to men, although these differences do not reach statistical significance. These insights deepen our grasp of how gender influences body image perceptions and emphasize the need to address societal pressures while nurturing positive self-esteem in young adults, regardless of gender. Nevertheless, the study acknowledges its limitations, including sample size and potential biases in self-reporting, pointing towards future research opportunities with broader participant groups and longitudinal studies. This work aims to contribute to ongoing conversations about promoting positive self-esteem and healthy body image in young adults, irrespective of gender identity.

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Objectified Body Consciousness, Self-Esteem, Gender Differences, Social Media Influence, Body Image, Young Adults

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Adult's sleep patterns are impacted by a wide range of variables, including biological, environmental, and psychosocial ones. This abstract aims to highlight important factors found in recent research, giving a brief summary of the complex control of sleep-in adulthood. The term "biological determinants" refers to inherent variables including age, heredity, and underlying medical issues, especially sleep problems. The circadian rhythm and melatonin release are two examples of chronobiological factors that have a major impact on sleep-wake cycles. Stress, anxiety, and sadness are examples of psychosocial variables that have a significant impact on sleep quality and may cause persistent sleep disruptions. Different people' attitudes and habits about sleep are further influenced by socioeconomic position and cultural norms. Comprehending the complex interactions among these factors is crucial in creating customized therapies meant to enhance adult sleep health. Longitudinal studies should be given priority in future research attempts in order to clarify the dynamic nature of sleep patterns and provide targeted solutions for enhancing general well-being in adult populations. Even though sleep is an essential physiological activity for general health and wellbeing, there are many complex factors that influence how well human's sleep. This abstract provides an extensive overview of the various elements affecting adult population sleep patterns. Hormonal variations, age-related changes in sleep architecture, and genetic predispositions are examples of biological determinants. Sleep start, maintenance, and quality are significantly influenced by the complex interactions between neurotransmitters, including dopamine and serotonin, and the hypothalamic-pituitary-adrenal axis.

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: Determinants, Psychosocial, Circadian cycle, Neurotransmitter

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The prominence of Durjoy Datta in the realm of romantic and thriller literature, particularly among the youth in India. With nearly 20 novels to his name, Datta's works delve into contemporary themes such as college life, romantic relationships, career pursuits, sexual dynamics, and marriage within the context of modern Indian culture. His narratives often highlight the influence of Western culture on Indian youth, including their attraction to discotheque culture, jingoism, and sexism. This research aims to explore how Datta's literary portrayals reflect broader societal shifts influenced by Westernization, potentially impacting familial, social, and marital structures, as well as aspects like food, clothing, and language. By examining these themes, the study seeks to shed light on the implications of Western cultural influence on Indian youth as depicted in Datta's novels.

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Creative Commons Attribution 4.0 and The Open Definition

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Sexual attraction, discotheque culture, jingoism.

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Creative Commons Attribution 4.0 and The Open Definition

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This project aims to create a secure personal cloud storage solution leveraging the Raspberry Pi 4 Model B module. By configuring the Raspberry Pi as a personal cloud server and connecting it to the internet via a router, users gain control over their data, addressing the privacy concerns associated with third-party cloud services. The server accommodates additional storage through an optional USB hard drive, offering flexibility in data capacity. Utilizing the Raspberry Pi's wireless network capabilities, it interfaces with open-source cloud computing platforms like Personal Cloud. Administrators manage the server remotely through local tunnels, configuring and overseeing services such as SSH, HTTP, and VNC, ensuring stringent access control and efficient system utilization. This research work proposes a practical alternative to relying on commercial cloud storage services like Dropbox or Google Drive. By establishing personal cloud storage using Raspberry Pi and an external hard drive, users retain data sovereignty and bolster security measures. The integration of platforms like NextCloud facilitates seamless access to stored data across various devices with internet connectivity, providing convenience without compromising control or incurring substantial costs. The outlined steps demonstrate how Raspberry Pi can transform into a personal cloud storage solution, offering cost-effectiveness, reliability, and enhanced control over data, all crucial factors in ensuring a secure and personalized cloud storage experience.

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Raspberry pi,cloud storage, Next cloud, Jellyfin

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Creative Commons Attribution 4.0 and The Open Definition

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The concrete industry is constantly seeking sustainable solutions to minimize environmental impact and optimize resource utilization. One such solution involves the incorporation of industrial by-products like steel slag as aggregates in concrete production. This paper presents a comprehensive review of the utilization of steel slag as a coarse aggregate in concrete. Steel slag, a by-product of the steel industry, is generated during the steelmaking process. Its properties, including high hardness, angularity, and rough texture, make it a potential candidate for replacing traditional coarse aggregates in concrete. Utilizing steel slag as coarse aggregate not only diverts a significant amount of waste from landfills but also reduces the consumption of natural resources, such as natural aggregates. In conclusion, this paper underscores the importance of further research and development to optimize the use of steel slag in concrete mixtures, addressing technical, economic, and environmental considerations to promote its widespread adoption in construction applications.

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 Keywords

Steel slag, Industrial by-product, Coarse aggregate, Fine aggregate, Compressive strength.

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Creative Commons Attribution 4.0 and The Open Definition