Volume 12 | Issue 1

 Abstract

Abstract -Present study was carried out to examine the water quality assessment to Tumaria reservoir the observation of physico-chemical parameter of water such as water, temperature, transparency, TDS, PH, DO, alkalinity, chloride, turbidity, velocity. We are determine during study period in order to create the geographic thematic map on, annual variation of physical -chemical parameters. Physico-chemical study on this research paper has help in analyzing the water quality of reservoir in protecting manner to maintain the ecological balance.

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Tumaria reservoir, Physical -chemical parameters, Water quality

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As far as we are aware, Homo sapiens is the most sentient species on Earth. On the other hand, technology is developing quickly, and it is undeniable that machine learning is now replacing human skills. Arthur McCarthy first used the term artificial intelligence in 1956. The ability of a digital computer or computer-controlled robot to carry out actions typically associated with intelligent beings is known as artificial intelligence (AI). AI has a wide range of applications in the legal field. Technology in the legal field has advanced because of globalization. Artificial Intelligence (AI) is being utilized in courts in nations like the United States and the United Kingdom, where technological advancement has reached incredible heights. The technology is being advanced to assist judges in making decisions. Artificial intelligence is intangible and concentrates on tasks with the help of intelligence techniques such as: But artificial intelligence has the potential to transform everyone's daily life drastically. Whether this is a good or bad thing, we must adhere to the right framework to guarantee that AI has a positive impact.

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Artificial Intelligence (AI), "Intelligence," technology, lawyer, AI Used in Policing

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Nowadays, the usage of credit cards has dramatically increased. As credit cards become the most popular mode of payment for both online and regular purchases, cases of fraud associated with them are also rising. Criminals use fake identification and numerous technologies to attract customers and get cash out of them. Due to the increase in fraud, various techniques and methodologies have been developed for detecting it. In this paper, we discuss the different ways credit card frauds are committed and which machine learning algorithms are used by investigators to detect fraud

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Machine Learning, credit card, fraud detection, SVM, Decision Tree, Logistic regression

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Depression, a primary contributor to the global burden of disease, requires timely identification and intervention to improve outcomes. We propose a multi-modal fusion framework composed of deep convolutional neural network (DCNN) and deep neural network (DNN) models. Our framework considers audio, video and text streams [1]. This study utilizes multimodal fusion, combining text, audio, and visual data, to enhance the detection of depression. Early intervention is crucial in order to prevent long-term consequences, improve treatment response, maintain functionality, reduce the risk of recurrence, prevent symptom escalation, promote physical well-being, and encourage healthy coping mechanisms. Multimodal fusion enables a comprehensive assessment, enhancing accuracy and facilitating the early detection of subtle symptoms. The objective of this research is to create diverse datasets, extract features, develop deep learning models, and evaluate performance, with a focus on contextual understanding. The methodology emphasizes the importance of high-quality and diverse datasets, and various multimodal fusion techniques have shown promising results, achieving high levels of accuracy, sensitivity, specificity, and precision. This research significantly contributes to the advancement of depression detection methodologies, providing a comprehensive solution for this complex mental health disorder.

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Depression, Multimodal fusion, Depression Detection

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In recent years, there has been a lot of interest in study on the growing use of artificial intelligence (AI) in health and medicine. Through the analysis of a patient's medical images and symptoms, AI gives intelligent computer-aided solutions that lead to effective treatment plans and the prediction of future outbreaks. Furthermore, the paucity of studies on the use of AI to certain high-burden diseases points to potential future paths for the field. The purpose of this study is to present real-time examples and issues related to AI in the healthcare sector.

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AI, Challenges, Healthcare, Real-world Scenarios

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An interesting case of rhino-occulo-cerebral mucormycosis [ROCM] in patients suffering from type 2 diabetes mellitus is described in this article. The clinical presentation is given in details. The need for high degree of suspicion, prompt diagnosis and complete surgical evacuation of inflammatory mass; and prompt initiation of antifungal therapy is discussed. The side effects associated with amphoterecin and issue regarding its total dosage is discussed

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Rhino-occulo-cerebral mucormycosis, Type 2 Diabetes Mellitus

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A healthy diet implies a stronger immune system, less disease, greater health, and a more productive society. Most school-age children in India are malnourished, mostly undernourished. The purpose of this review was to determine the prevalence of wasting, stunting, overweight, and obesity. The foundation for good health and a healthy mind is built throughout the school years. As a result, it is a fundamental milestone in a person's existence and is responsible for many of the changes that occur later in life. High levels of dietary deficiency and serious disease at an early age have harmful effects that manifest into adulthood. As a result, school age is nutritionally important, and children are considered a specific risk group.

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School-going children, HAZ and BAZ, Nutritional status, Nutrients, Stunted.

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Every day's hurry and work from home culture during and post COVID period has created a tendency of on line shopping. In addition, the e-commerce platforms are also promoting buying attitude among customer by offering various lucrative offer. This changing attitude of consumer from physical to virtual market, undoubtedly has enhanced profitability to online platform and cozyness in modern life. On the other hand, as products are being supplied from every nook and corners of the world, increasing load of packaging material or solid waste. In this article, packaging practices of two leading e-commerce platforms were studied and pointed out their changed behaviour towards sustainable packaging. The study found that among two e- commerce platform "Amazon" has taken few initiatives but exactly same may not be adopted by another platform "flipkart". However, this research concluded that there is a paradigm shift in the packaging material and sustainable approach in the e-commerce platforms as they have adopted a proactive strategy in terms of packaging strategies rather than reactive.

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Green Packaging, E-commerce, Sustainable development

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Quantum computing, with its ability to process information using quantum bits (qubits) and harness the principles of quantum mechanics, promises to revolutionize various fields. This abstract explores the usage and applications of quantum computing. Notably, in the domain of cryptography, quantum computers pose a challenge to existing encryption methods, necessitating the development of post-quantum cryptography. Quantum computing also excels in optimization tasks, impacting logistics, finance, and supply chain management. Scientific research benefits from quantum computing, with applications in drug discovery and materials science through rapid simulations of complex molecular interactions. Moreover, quantum computing holds the potential to enhance artificial intelligence and machine learning, offering faster data analysis and improved pattern recognition. While still in its infancy, quantum computing shows great promise in solving intricate problems in cryptography, logistics, science, and technology, heralding a transformative era in computation.

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Quantum Computing,Qubits, Cryptography.

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Generally, Today's generation is examined as an age of science, technology, commercial, intelligence, robotics, education and economy which is used in dayto-day life of a human. Many people around the world uses social media in their life to share post, message, information and to make new connections. Basically, social media allows users to communicate with their friends, family, colleagues and to explore new things. Social media provide opportunities for their users as well as organizations to get the large amount of people by understanding the concept of consumer and knowing his/her feelings via feedback towards various brands and products. Also, these organizations as well as people needs to maintain a secure platform to protect their data which will only be achieved by using applications and techniques of artificial intelligence. This research paper aims to examine and discuss the impact of using artificial intelligence applications with their various technologies on social media through the method of critical analysis and estimation that was applied to previous recent studies that assigned with the impact of artificial intelligence on social media. So, the objective of this paper is to discuss how social media is impacted by artificial intelligence in development purposes. This paper based on the relation between AI and Social media and their development, that how to improve their productivity for efficient usage by implementing various technology related to AI and social media.

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artificial intelligence, social media

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At the forefront of a technological revolution that will eventually combine the digital and physical domains is modelling for augmented reality (AR). AR modelling has advanced quickly and has a wide range of applications in several industries thanks to the incorporation of computer-generated content into the user's actual surroundings. In an effort to give a concise overview of this game-changing technology, this short assessment examines the origins, uses, difficulties, and potential future developments of AR modelling. As augmented reality (AR) continues to spread throughout many industries, realizing the subtleties of its modelling is crucial to realizing its full potential.

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augmented reality (AR), AR modelling , Virtual Reality (VR), digital and physical domain

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The concept of man's will has been paradoxical in the sense that one attempts to escape the consequence of his wrong doings, man-made laws are the just projections of such phenomenon. Comparative analysis between the man-made laws and the natural laws, has been critically studied with the analysis of various texts and films. In the postmodern conditions, media plays a vital role to blur the border between reality and a simulated one. The panoptic society has been associated with the decline of privacy fuelled by the rise of a capitalistic free market. Here the focus of the exploration is on man-made laws which are till date thought to be yardsticks of measuring a person's designation in respect of his/her past and can be studied how it has often led civilization to fail in civilizing man, and alienating him from his fellow beings.

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Nature, Man, Capitalism, Media, Postmodern, Civilisation, Panoptic society.

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In Bengaluru, investment avenues are perceived to be risk by the investors. Even though the people having less knowledge about the Derivatives market segment, but they tend to take decisions with the help of available sources like TV, Newspapers, Friends and family etc. Basically this study was undertaken to find out the level of satisfaction and awareness of various Derivatives market instruments & find out the risk preferences of various investment avenues. This study was focused on Investors' preferences towards various investment options, Age group wise investment pattern of the investors, and income wise association of the investment with equity & derivatives market, Methods of analysis adopted by investors for investment in derivatives. About 50 samples were collected from Bengaluru city.

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Investment decisions, Investors perception, Derivatives, Future and options.

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Because Industrial Internet of Things (IIoT) devices are becoming increasingly integrated into contemporary manufacturing procedures, there has been an increase in the demand for machine learning models that are both reliable and secure inside these contexts. On the other hand, due to the sensitive nature of industrial data, a rigorous approach to the protection of their privacy is required. The purpose of this study is to offer a framework that is trustworthy and protects privacy, with the intention of facilitating machine learning applications in Industrial Internet of Things systems while simultaneously protecting sensitive information. The framework makes use of a variety of encryption methods, federated learning, and differential privacy in order to guarantee the secrecy of data, the correctness of models, and the protection of privacy. The performance of object data interchange may be improved by the utilisation of device-to-device (D2D) communication mechanisms, which can be utilised by the Internet of Things (IoT). It is the goal of Internet of Things networks to provide a vast array of services of a high quality, and a significant proportion of the devices that are responsible for providing these services are mobile. Wearables, sensors, drones, and smart cars are examples of devices that require ongoing communication despite their movement patterns. As a result, an Internet of Things design should take into consideration both Quality of Service (QoS) and mobility. By enabling devices to connect with one another directly, D2D makes it possible for them to exchange material and functionality, such as access to the Internet. In order to improve the performance of Internet of Things (IoT) communication and to provide better quality of service (QoS) for data exchange services between mobile Internet of Things devices, this article presents REMOS-IoT, which stands for a RElay and MObility Scheme. The effectiveness of the suggested architecture and algorithms was demonstrated through simulation-based testing, which demonstrated how the performance of electronic devices improved in a number of different circumstances.

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Internet of things (IoT), smart gateways, D2D, QoS, performance analysis, mobility. Industrial IoT, Machine Learning, Privacy Preservation, Decentralized Processing, Secure Communication, Data Anonymization.

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This study has been undertaken to investigate the knowledge of caregivers regarding prevention and management of amnesia among elderly before and after planned teaching, in selected rural area of Sindhudurg District. The population for this study consists of all the caregivers involved in caring for the elderly aged 70 years and above of Sindhudurg district, Maharashtra. The pilot study was carried out at Kudal, Sindhudurg district on four adult caregivers who stayed with their elderly on 20th January 2022. The pre-test was conducted on 7th February 2022. On 14th February 2022, the same location selected for the post-test. The result of the above study clearly showed that the planned teaching had a positive effect on knowledge of samples regarding prevention and management of amnesia among elderly

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Study, Assess, Caregivers, Amnesia, Elderly

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The teacher at the Centre place of the reforms in the education system. A teacher plays a vital role in the all-round development of his students. Students make a well-educated people who developed his own self, own society and nations. This is a comparative study of the self-concept of teachers. For the present study the researcher followed random sampling procedure to select 100 teachers out of 10 schools (from both Bengali and English medium) of Purba Medinipur district. Description of The researcher has used the English version of "self-concept inventory" tool which is developed by Dr. Raj Kumar Saraswat to measure self concept. The study also fond no significant difference in the different dimension (physical, social, Temperamental, Educational, Moral and Intellectual) of self-concept between English medium and Bengali medium school teachers of Purba Medinipur district.

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self-concept

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The most popular cosmetic surgical operation nowadays in Western countries is liposuction. Since A. and G. Fischer's initial experiments with it in the 1970s, this technology has advanced quickly. It is presently frequently utilized in therapeutic settings for a variety of circumstances in the realms of aesthetics, reconstruction, and functionality. Practitioners of medicine and surgery will likely come across these people in their work as liposuction is the second most popular surgical treatment performed on patients between the ages of 35 and 64 in the United States. The function of liposuction and fat transfer in cosmetic and reconstructive surgery is covered in this succinct review, along with important factors, indications, and safety issues. Nowadays, liposuction is frequently performed under tumescent anesthesia with high dosages of lidocaine. The current study's goal was to assess the plasma levels of lidocaine and both objective and subjective symptoms 20 hours after abdominal liposuction under tumescent anesthesia using 35 mg of lidocaine per kilogram of body weight. In these reviw it is also tried to cover thr measures over consequences or complication which ever documented after liposuction.

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Liposuction, Surgical treatment, Reconstructive surgery, Tumescent anesthesia, Innovative methods.

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This study examines the key variables that contribute to the success of bKash, a prominent Mobile Financial Service (MFS) brand in Bangladesh, and how they impact the company's brand image. bKash has become a leading figure in the rapidly expanding worldwide MFS sector, especially in countries like Bangladesh where a significant portion of the population lacks access to conventional banking services. The study's backdrop provides a framework for the emergence of MFS, highlighting the crucial influence of technology and the distinctive demographics of Bangladesh that facilitated the growth of these services. The study aims were to ascertain the key determinants of bKash's performance, assess their impact on the company's dominance in the Bangladeshi MFS market, analyse their influence on bKash's brand reputation, and provide policy recommendations for MFS brands in Bangladesh. The findings demonstrate that technical innovation, the ability to access services using basic mobile phones, strategic collaborations, and user trust are crucial elements for the success of bKash. bKash's comprehensive understanding of Bangladesh's financial landscape, coupled with its focus on accessibility and innovation, has earned it widespread trust and loyalty. Its robust agent network and convenient services bridge the gap between traditional banking and the unbanked population, propelling it to the top of the MFS leaderboard. The report also emphasises the positive influence of bKash's achievement on moulding the public impression of mobile financial services in Bangladesh, cultivating trust, loyalty, and contentment among users. Policy proposals highlight the significance of regulatory assistance in promoting the continuous expansion of MFS in emerging countries.

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Mobile Financial Service (MFS), financial transections, financial systems

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Efforts into job is to acquire a piece of cloth and a meal. Many have either cloth or meal but, few have both. Malnutrition is a big cause for the government, huge funding is reserved for providing nutrition and food security. The issue Malnutrition earlier was found only in poor children but rich class children are also contributing due to modern food culture. Malnutrition is found across the globe irrespective of developed or developing nation. India is the only country in the world to provide food security to the citizens of the country. In-spite of several reserve funds for alleviating malnutrition, Malnutrition still exists and impact on Social, Political, Psychological and Economic condition of any individual. The Govt. of India is trying to alleviate malnutrition by providing food security through Public Distribution System (PDS) and aiming to provide nutrition to women and children through integrated Child Development Scheme throughout the country. The present study based on primary data focusses on the performance of Integrated Child Development Scheme (ICDS) in Alleviating malnutrition in Belagavi district of Karnataka with special reference to three talukas. The ICDS is reaching the beneficiaries through anganwadi in India. Anganwadi play significant role in addressing the cause.

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Key words: Malnutrition, ICDS, nutrition, food security

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This research paper examines the themes of idealism and realism as they are found in the plays, "Arms and the Man" and "Candida" by George Bernard Shaw. The emphasis is on character analysis as a requisite to understanding the techniques which Shaw uses to demonstrate the themes in a brighter light. The characters have been examined in the light of realism with the intention of understanding why the concept is important and whether idealism as an opposite philosophy is necessary or not.

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Idealism, Realism, Character study, Bernard Shaw, comparisons.

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