Volume 12 | Issue 4 |

 Abstract

o INTRODUCTION: Salmonellosis is a global health problem, affecting approximately 1.3 billion people annually. Salmonella is a gram-negative rods genus belonging to the Enterobacteriaceae family. Human salmonellosis represents 60-80 % of all reported cases of foodborne diseases. The term salmonellosis covers a complex group of foodborne infections affecting both man and animals. METHODS: The literature search was done from the data bases like PubMed, and MEDLINE. Review of peer reviewed original research articles were done.Articles were screened by reading titles and abstracts and were initially excluded if they did not refer to zoonotic salmonellosis. DISCUSSION: . Ayurveda has an ability to cure the disease that damage our immunity and cause serious disease. The purification methods mentioned in ayurveda for water, air, and soil, following ahara upayoga vyavastha, Dhoopana, etc could curb the menace of zoonotic salmonellosis.CONCLUSION: Since the health sector alone cannot solve the problem of salmonellosis, responsibility for prevention and control measures may fall to agriculture, vetinenary, and other ministries, outside the health sector too.

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Zoonotic salmonellosis, prevention, Ayurveda, Vyadhikshamatwa

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A country can progress through education. However, in regions of the world where slum areas exist, the advancement of education is relatively limited. The word slum refers to the informal settlements in which the condition of houses is bad, and living conditions are very poor. Bankura Municipality Corporation has 295 slum areas, which are home to 46341 people. This represents around 33.73% of the overall population of BMC (Bankura Municipality Corporation). The slum dwellers in BMC are mainly deprived of better educational and basic educational amenities, i.e., safe drinking water, a library, computer aided learning, toilets, electricity, etc., the lowest percentage of literacy rate in ward number 19. Moreover, the number of wardwise schools is not sufficient . In some wards, the number of schools is much lower than the population. Basic amenities are lacking in various schools. Due to this, various difficulties are seen among the students. All those difficulties can be removed through various government schemes. Along with this, if various types of awareness campaigns are conducted in the slum areas, the population will be aware of education, and the literacy rate will increase in the future.

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Slum Area, Literacy Rate, Educational Status, Problems, Recommendations

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Mah?puru? ?a?karadeva was a great religious philosopher of Assam during the medieval period. He propounded the Neo-Vai??avite cult in Assam. In the true sense of term ?a?karadeva was a humanist. Humanism was at the central theme of ?a?karadeva's teachings. His humanistic philosophy was based on religion and spiritualism. The value of oneness is reflected in the teachings of ?a?karadeva.. He had tried to wipe out all types of classification amongst men and to establish unity, happiness and universality. Being a social reformer, ?a?karadeva strived for the welfare of the common people irrespective of caste and creed. ?a?karadeva was praising humanism to propagate the universal religion in a scientific way. In the present paper an attempt has been made to highlight the humanistic ideals of ?a?karadeva as revealed in his teachings.

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humanism, spiritualism, unity, caste, ideals

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Creative Commons Attribution 4.0 and The Open Definition

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SecureStealth stands out as a powerful solution for hiding sensitive data within images and audio files. It achieves this through a multifaceted approach that blends encryption and steganography, ensuring data confidentiality during digital transmission and storage. To optimize efficiency and make the hidden information less detectable, SecureStealth first employs zlib compression to reduce data size. Subsequently, AES-256 encryption, a robust algorithm, safeguards the compressed data. To guarantee only authorized access, a session key is generated and encrypted using RSA public key cryptography. This two-step encryption strengthens security as the private key for decryption remains confidential. Following encryption, SecureStealth utilizes steganography to embed the encrypted data, encrypted session key, and other crucial information within the chosen image or audio file. It leverages a technique called least significant bit (LSB) modification, strategically altering a predetermined number of least significant bits within the cover media to store the hidden data. To further impede detection by steganalysis tools, SecureStealth incorporates a seeded random number generator. This ensures the hidden bits are dispersed throughout the image or audio file, preventing the formation of easily identifiable patterns. Notably, SecureStealth's steganographic capabilities extend to audio files, offering a versatile solution for covert data embedding across various digital mediums. Developed using Python, SecureStealth boasts cross-platform compatibility, making it accessible on a wide range of operating systems. This combination of robust encryption, steganography techniques, and a user-friendly interface positions SecureStealth as a valuable tool for users seeking to conceal sensitive data within image and audio files.

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 Keywords

steganography, compression, AES-256, RSA, session key, LSB steganography, random generator, image/audio steganography

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Plagiarism in academic research is one such topic that is discussed far more now compared to earlier. The research has suffered greatly because of the assessment of the web's current status and users' capacity to perform fast, complex searches. Plagiarism detection tools focus on text and overlook graphics. Nevertheless, images are crucial for conveying large amounts of data, like those seen in papers or scientific research. Flowcharts include large amounts of data, so it's probable that because of their extensive picture library, especially when it comes to computer texts, they contain a significant amount of plagiarism. The purpose of this article is to examine the degree of plagiarism in a manuscript using artificial neural network-based flowchart images. The suggested method's average flowchart picture identification accuracy of 81.91 percent in terms of structure, nodes, and edges proved how effective it was.

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Plagiarism,Academic research,Plagiarism detection tools,Text,Graphics,Images,Data,Flowcharts,Manuscript,Artificial neural network,Structure,Nodes,Edges

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This paper provides a comparative analysis of two prominent retellings of the Indian epic Mahabharata: "Jaya: An Illustrated Retelling of the Mahabharata" by Devdutt Pattanaik and "Palace of Illusions" by Chitra Banerjee Divakaruni. The analysis examines the authors' distinct writing styles, thematic emphases, character portrayals, and interpretations of the Mahabharata narrative. While Pattanaik takes an analytical approach, exploring the philosophical depths of the epic, Divakaruni offers a more personal and emotive perspective, focusing on character-driven storytelling, particularly through the eyes of Draupadi. The paper delves into how these differing approaches contribute to nuanced understandings of the Mahabharata, addressing themes such as gender dynamics, societal constructs, and the complexities of human nature.

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Mahabharata, retelling, mythology, Draupadi, Devdutt Pattanaik, Chitra Banerjee Divakaruni, narrative structure, character development, gender dynamics, societal constructs, philosophical interpretations

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This paper presents Leaf Disease Detection Of Multiple Plants Using Deep Learning. The system employs a 15-layer Convolutional Neural Network (CNN) algorithm to accurately identify diseases from leaf images. Upon detection, appropriate pesticides are recommended based on the identified disease. The proposed method offers several additional features, including the provision of pesticide supplier information tailored to specific geographic areas. Furthermore, the system provides comprehensive details about the detected leaf disease, including its name, complete accuracy, time of detection, and relevant weather forecasting information.The dataset used in this study encompasses a variety of plants, including apple, pomegranate, banana, chicku, and mango. Leveraging image processing techniques, our system not only detects the name of the leaf disease but also identifies various phases of the disease progression. Additionally, it furnishes essential information such as the plant's name, required soil type, suitable growth areas, optimal temperature and weather conditions, and, in case of disease, the specific type of disease, its causes, and the recommended pesticides for treatment.This innovative approach facilitates precise disease diagnosis in plant leaves, thereby enabling prompt intervention measures to mitigate crop losses. By integrating CNN-based technology with comprehensive data analysis and information dissemination, our system offers a valuable tool for enhancing agricultural productivity and sustainability.

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Disease Detection, Plant Leaves, CNN Algorithm, Pesticide Recommendation, Image Processing, Agricultural Productivity

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The proliferation of electronic resources has transformed the landscape of academic research, necessitating research scholars' proficiency in information literacy and adept usage of digital resources. This study examines the information literacy levels and utilization patterns of e-resources among research scholars within the universities located in the Agra region. Employing a mixed-methods approach, both quantitative surveys and qualitative interviews were conducted to gather comprehensive insights. The quantitative phase involved administering structured questionnaires to a representative sample of research scholars, assessing their familiarity with various electronic resources, search strategies, and proficiency in critically evaluating information. Concurrently, qualitative interviews were conducted to delve deeper into the experiences, challenges, and perceptions regarding e-resource usage among research scholars. Preliminary findings indicate varying degrees of information literacy among research scholars, with disparities observed in the extent of utilization and proficiency in accessing e-resources. Factors influencing information literacy levels include prior exposure to digital resources, access to training programs, and institutional support. Furthermore, the study elucidates challenges encountered by research scholars, such as difficulty in navigating complex databases, limited awareness of advanced search techniques, and barriers related to accessibility and licensing restrictions. The study's implications underscore the importance of targeted interventions to enhance information literacy skills among research scholars, including the development of customized training programs, provision of user-friendly interfaces for e-resources, and fostering collaborative learning environments. Additionally, recommendations are proposed for universities and academic institutions to streamline access to digital resources, mitigate barriers, and cultivate a culture of lifelong learning and information fluency among research scholars. In summary, this research adds to the expanding body of knowledge on information literacy in higher education by providing insightful information on the potential and problems related to e-researcher use in the Agra region. By addressing the identified gaps and fostering a supportive ecosystem, stakeholders can empower research scholars to harness the full potential of electronic resources in advancing scholarly inquiry and knowledge dissemination.

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 Keywords

Information literacy, E-resources, Research scholars, Universities, Agra region

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Creative Commons Attribution 4.0 and The Open Definition

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Microstrip antennas in modern era wireless communication has become widely prevalent because of their efficiency and versatility as radiators. However, the design, optimization, and sensitivity analysis processes of microstrip antennas can be hindered by the time-consuming nature of full-wave electromagnetic simulation. In overcoming these issues, Artificial Neural Networks (ANNs) have emerged as a valuable tool for estimating the performance metrics of microstrip antennas. This paper proposes a compact rectangular microstrip antenna operating within the frequency range of 4.87 GHz to 9.36GHz, suitable for wireless applications. The trained ANN model can swiftly predict S11 of the microstrip antenna without the need for time-consuming simulations.

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Gain, bandwidth, Artificial neural network, patch antenna

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ABSTRACT Ayurveda, a holistic science which primarily focuses on disease prevention by bringing about the harmony between body and mind. It emphasizes the importance of routines like dinacharya (daily regimens), ratricharya (night-time regimens), rutu charya (seasonal regimens), and sadhvritta (good conduct) to attain the equilibrium in the body. Metabolism plays a major role in preventing many diseases and in ayurveda it could be understood as Agni. It is important to adapt the ayurveda principles as a daily routine in maintaining Agni to obtain overall health. Methods: The literature search was done from Ayurveda texts and the data bases like PubMed, MEDLINE and AYUSH Portal. Review of peer reviewed original research articles were done. Articles were selected using the search terms: "metabolism", "agni dushti", "dinacharya". They were screened by reading titles and abstracts and were initially excluded if they did not refer to Agni and dinacharya. Discussion: Analysing the importance of metabolism for disease prevention. understanding of importance of Dinacharya procedures with reasoning as how it helps in maintaining the metabolism of an individual. There by how Dinacharya acts as preventive aspects in forbidding the diseases. Conclusion: Practicing Dinacharya can have a great impact on Agni, thereby improving the body metabolism. Hence it can contribute greatly in prevention of diseases.

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 Keywords

: Dinacharya, Agni, Digestion, Metabolism, Disease prevention

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