Volume 12 | Issue 3 |

 Abstract

Text summarization tools play a pivotal role in the era of information overload, aiding users in extracting the most pertinent information from voluminous texts. This abstract provides a succinct overview of text summarization tools, highlighting their significance, techniques employed, and potential applications .Text summarization tools employ various techniques, such as Text Preprocessing-( Tokenization, Lowercasing), Text Representation sequence to sequence models, Evaluation metrics, Hyper parameter Tuning ,extractive and abstractive summarization, to condense lengthy documents into shorter, coherent versions. Extractive summarization selects salient sentences or phrases from the original text, while abstractive summarization generates concise summaries by interpreting and rephrasing content .These tools rely on natural language processing (NLP), machine learning algorithms, and deep learning models to achieve these tasks. We also use tokenization ML algorithm to get quality of summary. It also have additional feature of uploading a pdf or file and getting its summary.

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 Keywords

Text Summarization

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Creative Commons Attribution 4.0 and The Open Definition

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As we know water is one of the essential elements that a living being need to keep healthy. Human indeed needs to consume a minimum of 4L water a day to stay dehydrated and healthy. When it comes to healthcare, water quality must be of per amount importance. Especially, among those who are immunocompromised and those high dependency patients in critical care units. We are familiar with the term "Automatic", these days we want each and every gadget of ours to be automatic. The device automatic water dispenser is a machine that helps to reduce the work done manually in terms of water supply. When it comes to dialysis patients, they require a limited amount of water after dialysis. With the help of this dispenser, patients gets limited amount of water as they suggested by the doctor after dialysis. The entire sequence of operation is controlled by an Arduino Uno. Nozzle is fabricated for the water to dispense from the tank. hardware design using Arduino and other hardware components such as LCD, relay, ultrasonic sensor, flow sensor, RFID sensor, etc.

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RFID sensor, relay, LCD, ultrasonic sensor.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: A chronic eye condition called glaucoma has a deleterious effect on the optical nerve, which links the brain and eye to transmit visual information. Early detection is essential for stopping the condition's progression. Glaucoma is one of the most prevalent eye conditions, and it's important to catch it early because it can cause blindness and neurological issues. In this study, a Deep Learning system is proposed for the early detection of glaucoma. The eye image undergoes pre-processing to eliminate any noise and prepare them for further analysis. The system utilizes enlarged images of the eyes as input data for the deep learning method. The suggested system classifies new eye images as No_glaucoma Glaucoma_early, Glaucoma_moderate, and Glaucoma_advanced and also provides respective preventive measures based on the features it learned during training.

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Glaucoma, Deep Learning, pre-processed, Fundus Images.

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Creative Commons Attribution 4.0 and The Open Definition

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This article aims to forecast future outcomes using machine learning as a crucial tool for supporting decisions in crop yield prediction, such as choosing crops and managing them throughout their growth. Agricultural planning is crucial for the economic growth and food security of countries relying on agriculture. Despite its significance, the agricultural sector faces numerous challenges. Farmers invest considerable time, money, and effort into farming activities, with crop selection being a particularly daunting task. Choosing the wrong crop can lead to financial hardships for farmers. Given the imperative to sustainably feed the global population, advancements in agricultural production are essential. While past research has explored methods like statistical analysis and data mining for crop and soil classification, predicting the most suitable crop for a given soil remains challenging. Machine learning techniques have emerged as a promising solution to this issue. The proposed work aims to predict the optimal crop and recommend suitable fertilizers by analyzing soil composition and properties using machine learning algorithms. This approach seeks to address existing challenges and improve prediction accuracy, ultimately assisting farmers in selecting the right crops to maximize yields and earnings.

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 Keywords

Crop Yield Prediction,Machine Learning,Expert Knowledge Integration,Agricultural DataAnalytics,Remote Sensing,Climate Change Adaptation,Precision Agriculture

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Creative Commons Attribution 4.0 and The Open Definition

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China witnessed momentous changes in the countryside after the Third Plenum in December 1978 as major changes in public policy and institutions unfolded. With the onset of reforms, the rural economy posted impressive growth in agriculture and rural industrialization. Did the growth translate into better incomes and consumption, and how was rural income distributed are pertinent questions to ask given the fact that although there was hardly any significant intra-village rural inequality, the peasants were unhappy over their nearly stagnant income and consumption level despite agricultural sector and the rural economy generating enough resources for China's heavy industrialization led economic development. This question is also important because the Deng Xiaoping regime had recognized the peasantry's unhappiness and discontent as a reason for adversely affecting their work -incentive and declining productivity in agriculture and also as an important factor in straining the Party-state-peasant relationship. This paper, from a political economy perspective, drawing upon literature on rural reforms in China, deals with the impact of changes in policy and institutions on the income and consumption levels of the Chinese peasantry during the first decade of post-Mao rural reforms, i.e., 1978-1988. Additionally, this paper looks at the impact of the growth process on poverty and rural income distribution. It finds that while output, employment, and real income grew rapidly, which enabled peasants to enjoy improved diets, have more housing space to themselves, and use new items/articles of consumption, and many came out of absolute poverty, all this was accompanied with rapidly rising rural incomes within villages across rich and poor regions, which became a matter of concern as it portended societal and political disquiet. This period is a prelude to the rise of China as a great power.

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China's rural reforms, peasants, income, consumption, poverty, rural income inequality

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Creative Commons Attribution 4.0 and The Open Definition

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The LGBT communities all around the world have been in a constant battle against the discrimination they face on a daily basis. They are segregated from the mainstream of the society and failed to find their identity with any other sex categories. However, in the recent years they are trying to organize themselves to fight out their concern. Yet they are continues to be ostracized. People in the LGBT community are fighting for equal rights and acceptance. Trans people especially, face a lot of difficulty in finding acceptance. The constitution provides for the fundamental right to equality, and tolerates no discrimination on the grounds of sex, caste, creed or religion. Article 23 prohibits trafficking in human beings as beggars and other similar forms of forced labour. The problem of transgender is more critical compared to other sex. The Supreme Court in the case of "National Legal Services Authority Vs Union of India" declared transgender people to be the third gender. The case affirms that fundamental rights guaranteed in the constitution will be equally applicable to transgender people and entitled to maintain their self-identity as a separate gender. The constitution affirms equality in all spheres of life but the moot question is whether it is being applied to the LGBTs. In this article it is an attempt is made to analyses the rights of LGBTs in India.

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Creative Commons Attribution 4.0 and The Open Definition

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LGBT, Transgender, Constitutional Protection, Gender Justice.

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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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postpartum blue, antenatal mothers, effectiveness, structured teaching programme, knowledge.

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Creative Commons Attribution 4.0 and The Open Definition

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The pharmaceutical industry plays a vital role in safeguarding global health. However, its supply chain is complex, susceptible to fraud, and often inefficient. Pharmaceutical supply chains are characterized by multiple stakeholders, including manufacturers, distributors, suppliers, and healthcare providers. The intricate nature of this supply chain makes it vulnerable to issues like counterfeit drugs and data inaccuracies. Blockchain, with its inherent features of transparency, immutability, and decentralization, offers a compelling framework to mitigate these challenges. Blockchain enhances transparency by creating an immutable ledger of all transactions. Each drug batch is assigned a unique identifier, recorded on the blockchain and associated with relevant data such as manufacturing details, shipping records and quality test results. Stakeholders across the supply chain can access this information in real-time, ensuring complete visibility and traceability. Counterfeit drugs cause serious problem to public health. Blockchain's secure, tamper-proof records enable consumers and healthcare professionals to verify the authenticity of pharmaceutical products. Smart contracts, self-executing agreements triggered by predefined conditions can automate verification processes, reducing the risk of counterfeit drugs entering the supply chain. Blockchain's cryptographic techniques ensure data security, privacy and protecting sensitive information. Pharmaceutical recalls can be costly and time-consuming. Blockchain's traceability allows for targeted recalls, pinpointing affected batches quickly. Smart contracts can automate the recall process, notifying relevant parties and facilitating the return of products. This efficiency not only saves resources but also enhances patient safety.

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Blockchain, Counterfeit drugs, Pharmaceutical supply chain, Smart contract

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Creative Commons Attribution 4.0 and The Open Definition

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This study explores the intricate and multifaceted world of social media's effects on young people. The study investigates the complex effects of social media usage on several facets of youth development through a thorough analysis of case studies and secondary sources. The results show a conflict between the advantages of self-expression, community building, and connectedness and the disadvantages of diversions, cyberbullying, and mental health issues. The study sheds light on the difficulties young people encounter when navigating this digital environment. As we examine the educational ramifications, we talk about the necessity of digital literacy initiatives, parental supervision, and legislative changes to lessen the harm and encourage young people to use social media responsibly. The goal of this study is to provide a comprehensive knowledge of the dynamic interactions between kids and social media, guiding researchers, educators, parents, and policymakers on how to effectively navigate this rapidly changing landscape.

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Youth development; Social Media effects; Mental health; Digital environment; Parental supervision; Responsible use; Policy Guidance

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition