Volume 11 | Issue 4 |

 Abstract

The art or practise of hiding a message, image, or file within another message, image, or file is known as steganography. This essay examines how images on the institution's network can be used to hide papers within that organisation. The C programming language was used to create this free, self-contained, and user-friendly application. Before the document is delivered through the institution's network to the intended recipient, the encryption procedure is carried out on the user's computer. Images are encrypted and decrypted during this procedure, preventing hackers or casual users from reading documents that weren't created for them.

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 Keywords

steganography, image, encrypting, decryption, image

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The social dignity and position of women was very favourable for them during the Rig Vedic India. They lost their freedom during the later Vedic period. They enjoyed maximum freedom during the Sangam Age that was the Dravidian civilization. They began to be enjoyed rights and freedom during the British period. Now they are more aware about their freedom and civic rights through Missionary Education, wealth and higher positions.

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 Keywords

Vidatha, Aryanisation, Arditi, Usha, Rathi, Aranyani, Manusmriti, Mahapraja Pati Gautami, Ananda, Ammaiyar and Thilagavathiar, talukdars, Vidyalaya

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Creative Commons Attribution 4.0 and The Open Definition

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KNN, SVM, Decision Tree, Random Forest, Breast Cancer, Cross Validation

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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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Pain is defined by The International Association for the Study of Pain (IASP) as "an unpleasant sensory and emotional experience related to or described in actual or potential tissue damage". In emergency rooms, 60% of patients experience acute pain and in 85% of cases, pain is the main reason for consultation. The fight against pain is a public health priority. The establishment of national guidelines and recommendations testifies to the institutional will and of health professionals to optimize their management. The organizational and structural impact as well as human resources are major determinants in the success of any pain management strategy, especially in emergencies, both symptomatic and etiological. As a result, we carried out work within the emergency admissions department of the tertiary hospital to take stock of analgesia practices as well as the epidemiological and clinical characteristics of the patients concerned. This is a prospective single-center, analytical cross-sectional study carried out over 3 months in an emergency department of a tertiary hospital in Casablanca.

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pain , emergency , pain relief

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The basal metabolic rate is reduced in hypothyroidism because the thyroid gland does not produce enough thyroid hormones. The major job of thyroxine is to support oxidative metabolism by acting as a catalyst. These roles are comparable to how Agni is described in Ayurveda. Agni (jatharagni, bhutagni, and dhatvagni) regulates all bodily metabolic processes. Jatharagnimandya results in dhatwagnimandya since dhatwagni depends on jatharagni. Although hypothyroidism is not directly described in Ayurveda, it can be linked to dhatwagnimandya (ras and meda dhatwagnimandya) based on its clinical manifestation. The health and altered condition of Agni might be related to the normal and abnormal function of the thyroid gland. The relationship between hypothyroidism and Agnimandhya is highlighted in this article.

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Thyroid gland, hypothyroidism, Agnimandhya, Dhatwagnimandhya,

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 Abstract

With the widespread adoption of cloud computing, securing data and ensuring continuous authentication of devices accessing cloud services has become a critical concern. Traditional cryptographic methods, while effective, are vulnerable to quantum computing attacks that can compromise security. To address this challenge, we propose a novel device-to-device continuous authentication protocol for cloud services, leveraging the principles of quantum cryptography.Our proposed protocol utilizes quantum key distribution (QKD) to establish secure and authenticated communication channels between devices accessing cloud services. QKD leverages the principles of quantum mechanics, such as the Heisenberg uncertainty principle and quantum entanglement, to securely generate and distribute cryptographic keys, which are immune to attacks from quantum computers. The protocol continuously authenticates the devices by periodically exchanging quantum keys, verifying their authenticity and integrity, and updating the keys accordingly.Our protocol ensures secure and continuous authentication of devices accessing cloud services, protecting against various attacks including man-in-the-middle attacks, replay attacks, and eavesdropping attacks. It provides strong security guarantees, leveraging the unique properties of quantum mechanics to protect against attacks from both classical and quantum computers. Moreover, our protocol reduces the need for centralized authentication servers, reducing the risk of single point of failure and enhancing the scalability and efficiency of cloud services.We evaluate our proposed protocol through extensive simulations and performance analysis, demonstrating its effectiveness in ensuring secure and continuous authentication of devices accessing cloud services. Our findings highlight the potential of quantum cryptography as a promising solution for securing cloud computing environments and enabling secure device-to-device communication.

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QUANTUM CRYPTOGRAPY BASED DEVICE-TO-DEVICE CONTINUOUS AUTHENTICATION PROTOCOL FOR CLOUD

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The nature of stock market movement has always been ambiguous for investors because of various influential factors. This study aims to significantly reduce the risk of trend prediction with machine learning algorithms. Four stock market groups, namely diversified financial, petroleum, non-metallic minerals and basic metals, are chosen for experimental evaluations. This study compares Three machine learning Linear Regression, Random Forest and KNN algorithm.

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Stock Market Prediction, Machine Learning Algorithm, K-Nearest algorithm, Linear Regression, Random Forest algorithm, RMSA, MSE, R-Squared

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 Abstract

Abstract: Online education refers to the use of digital technology to deliver educational content and instruction remotely over the internet. With the widespread availability of the internet, online education has become increasingly popular as a way to access education from anywhere, at any time. Online education offers several advantages over traditional in-person learning, including greater flexibility, accessibility, and convenience. Additionally, online education can be more cost-effective than traditional education, with reduced tuition fees and lower transportation costs. However, there are also some potential disadvantages to online education, such as the lack of face-to-face interaction with instructors and peers, the need for self-discipline and motivation, and concerns about the quality of online instruction. Despite these challenges, online education continues to grow in popularity and importance, with many educational institutions and organizations now offering online courses, degree programs, and training modules to learners around the world. Online education also poses some challenges, including the need for learners to be self-motivated and disciplined in their learning, and concerns about the quality and rigor of online instruction. Additionally, online education can exacerbate existing inequalities, as learners in low-income or rural areas may not have access to the necessary technology and internet connectivity. Despite these challenges, online education has the potential to transform education and training, making learning more accessible and inclusive. It is important for educators and institutions to continue to innovate and adapt to meet the needs of diverse learners in the digital age. This may involve new approaches to instructional design, the use of emerging technologies, and a focus on promoting equity and access in online education.

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Key Words: Online education, e- learning, classroom based education, Potential

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

For Area-efficient VLSI architecture a Two-operand binary adder is designed where in which area is more and speed of operation is low, because of these limitations a new architecture with Three-operand binary adder logic is to be designed instead of previous architecture which performs 3-9 times faster than the previous architecture. Three-operand binary adder is the basic functional unit to perform the modular arithmetic and various Cryptography and Pseudorandom Bit Generator (PRBG) algorithm. Carry save adder (CS3A) is widely used technique to perform the Three-operand binary adder. However the ripple-carry stage in CS3A leads to a high propagation delay. Moreover a parallel prefix Two-operand binary adder such as Han-Carlson (HCA) can also be used for Three-operand addition that significantly reduces the critical path delay a cost of additional hardware. Three-operand binary addition significantly decreases area and power consumption. Hence a new High-speed and Area efficient adder architecture is proposed using pre-compute bitwise addition followed by carry prefix computation logic to perform the Three-operand binary addition. With this Logic a new architecture is to be designed, for 16-bit Three-operand binary addition which is called as 16-bit Three-operand binary adder. To design this logic we are using Xilinx ISE, ModelSim software with VHDL, Verilog languages.

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 Keywords

Vivado

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Creative Commons Attribution 4.0 and The Open Definition