Volume 11 | Issue 11

 Abstract

Osteoarthritis is a common condition affecting the knee joint that is characterized by the progressive and irreversible loss of articular cartilage. Patients' lives are greatly impacted by this degenerative disorder, so prompt and accurate diagnosis is essential. The primary diagnostic tool for osteoarthritis, traditional knee X-rays, frequently depend on the experience of seasoned doctors, which adds to the burden and increases the risk of making mistakes in judgment because slight variations in disease stages exist.This work uses artificial intelligence (AI) and machine learning to create a state-of-the-art medical diagnosis support system in response to these issues. The technique of transfer learning, which makes use of neural network models that have already been trained, is the foundation of the system. It minimizes reliance on large datasets and facilitates effective learning for the diagnosis of knee osteoarthritis.

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Inception V3, Knee Osteoarthritis, X-Ray Images

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Rice is one of the most widely cultivated food crops in the world. However, there is a significant probability that high amounts of salt, especially at the seedling stage, would have a detrimental effect on rice growth. To prevent a decrease in rice productivity, it is crucial to quickly discover and develop salinity-tolerant rice crop types, particularly at the seedling stage. Expertise from humans is required for the classification of visual signals and the conventional way of a standard assessment system for identifying rice crop salt stress. It's not only time-consuming, but it often leads to mistakes that lead to inaccurate classification. The research shows the need for a deep learning developed model over the conventional approach of measuring rice crop sensitivity to salt stress during the seedling stage to detect and classify salinity stress in rice seedlings using field images. Therefore, we employ pre-trained deep learning approaches, such as VGG 16, VGG 19 to develop the classification model. These techniques are developed in Jupyter Notebook using Python programming. The model can classify images of rice seedlings into scores of 1, 3, 5, 7, and 9, demonstrating the critical need for a computer-based classification system for salinity prediction that could be used as a tool for automating the classification process for rice development to aid researchers and farmers in the rice crop management system.

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Salinity, Deep Learning, Rice Seedling

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Multimorbidity is the coexistence of multiple chronic conditions, posing a significant challenge to healthcare systems worldwide. This article gives information of the intricate landscape of multimorbidity, emphasizing the importance of tailored strategies for effective management. Focusing on the it's prevalence in India, this article explores the multidimensional nature of multimorbidity, considering factors such as financial burden and healthcare utilization. The article highlights on key components of successful multimorbidity management, including comprehensive assessments, individualized treatment plans, regular medication reviews, patient-centered innovations, and patient education. These components are pivotal in addressing the diverse needs of patients living with multimorbidity, ensuring personalized and holistic care. Looking to the future, this article discusses emerging trends like Online Patient Education (OPE) programs, medication simplification, increased involvement of physician as well as clinical pharmacists, and patient-centered outcomes. These innovative approaches hold promise in improving the quality of life for individuals grappling with multimorbidity. In conclusion, this article underscores the urgency for healthcare systems to adopt patient-centric approaches in managing multimorbidity. By embracing personalized care, empowering patients, and by using new technological advancements, healthcare providers can navigate the challenges that posed by multimorbidity and improve quality of life of individuals living with this complex health condition.

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 Keywords

Multimorbidity, Chronic Conditions, Prevalence, Multiple treatment therapy, Strategies.

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This comprehensive survey study investigates retinal blood vessel separation techniques, gathering insights from ophthalmologists and retinal imaging specialists in India. The study addresses the significance of these techniques in the field of ophthalmology and retinal imaging, emphasizing their role in clinical diagnosis and research. Drawing from a diverse sample of professionals, the research examines the effectiveness of current separation methods, awareness of recent advancements, and the potential of artificial intelligence (AI) in improving these techniques. Additionally, it explores the challenges faced in retinal blood vessel segmentation and the primary imaging modalities used in practice. Ethical and privacy concerns related to AI-based segmentation are also examined. The study's findings offer valuable insights into the perceptions and practices of Indian professionals in the field, with implications for training, software development, ethics, and the integration of AI. This research contributes to the broader understanding of retinal imaging practices in India and provides recommendations for businesses and policymakers to enhance the quality of eye care in the country.

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Retinal Blood Vessels, Separation Techniques, Ophthalmologists, Retinal Imaging Specialists, India.

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Commerce drives economic growth, development and prosperity, promotes regional and international interdependence, fosters cultural exchange, creates jobs, improves people's standard of living by giving them access to a wider variety of goods and services, and encourages innovation and competition for better products.With the right technology, companies can streamline operations, make better decisions, deliver a better customer experience, and maximize returns. The role of technology in business is to enable companies to operate more efficiently, effectively, and competitively.

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E-Commerce, E-Tech, B2B,B2C,modules of e-commerce, USA regulations and commerce policies

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The increasing digitization of societal processes has paved the way for the exploration of innovative technologies to enhance the integrity and security of critical systems, particularly in the realm of electoral processes. This paper introduces an Online E-Voting System utilizing Blockchain technology, aiming to address the challenges associated with traditional voting systems such as fraud, tampering, and lack of transparency. The proposed system leverages the decentralized and immutable nature of blockchain to establish a secure, transparent, and auditable platform for conducting electronic voting.

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Blockchain, consensus, e-voting, government, industry, security, transparency.

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 Abstract

Paper uploaded

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Innovation, Business models, emerging technologies

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This review paper explores the current applications of Artificial Intelligence (AI) in conjunction with Remote Sensing (RS) and Geographic Information System (GIS) technology for river water management. It also discusses the potential future applications of AI in improving the accuracy of water quality predictions. While the literature on AI in the water domain is extensive, the ethical aspects of AI applications in water management receive limited attention. This paper emphasizes the need to consider ethical considerations alongside technological advancements. The integration of AI-GIS technology has shown promising results in predicting water quality parameters with greater accuracy.

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 Keywords

RS : Remote Sensing GIS : Geographical Information System AI : Artificial Intelligence GIS : Geographic Information System ANI : Artificial Narrow Intelligence AGI : Artificial General Intelligence ASI : Artificial Super Intelligence IoT : Internet of Things DSS : Decision Support System ESRI : Environmental Systems Research

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PROSPECTIVE STUDY OF USAGE OF ANTIBIOTICS AT A TERTIARY CARE TEACHING HOSPITAL

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PROSPECTIVE STUDY OF USAGE OF ANTIBIOTICS AT A TERTIARY CARE TEACHING HOSPITAL

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ABSTRACT Urban planning and geospatial technology play crucial roles in achieving sustainable development and sustainable development goals by addressing the complex challenges faced by urban areas. This paper highlights the significant contributions of urban planning and geospatial technology in promoting sustainable urban development. It explores how urban planning facilitates the integration of social, economic, and environmental factors to create liveable and resilient cities. Geospatial technology, with its ability to capture, analyse, and visualize spatial data, provides decision-makers with valuable insights for informed decision-making. By leveraging accurate and up-to-date spatial data, urban planners can prioritize sustainability aspects such as land use, transportation, energy efficiency, and climate change adaptation. This study showcases the application of geospatial technology in sustainable land use planning. Furthermore, it examines the monitoring and evaluation capabilities of geospatial technology for ongoing assessment and adjustments towards sustainable urban environments. Data have been majorly collected from secondary sources. Comprehensive review of existing literature has been conducted to gather information on the applications, benefits, and challenges of geospatial technology in urban planning for sustainable development. The findings emphasize the importance of integrating urban planning and geospatial technology as a holistic approach to achieve sustainable development, ensuring the well-being of urban residents while minimizing environmental impacts. The paper concludes by offering recommendations for policymakers, planners, and practitioners to effectively utilize urban planning and geospatial technology for the advancement of sustainable cities and communities.

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Keywords: Urban Planning, Sustainable Urban Development, Geospatial Technology, Sustainable Development Goals, Land Use Planning

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The present study has been conducted to find out the patterns of Cognitive styles and level of modernization among School teachers belonging to tribal community in relation to their Income. The sample for the investigation was drawn from the from the school teachers belonging to tribal community . By using simple random sampling technique. It comprises 310 school teachers. Standardized tool was used in the present study, Cognitive Style Inventory (CSI) developed by Praveen Kumar Jha The Comprehensive Modernization Inventory (CMI) developed by Ahluwalia S.P. and Kalia A.K.(1998) The study also revealed that there is no significant difference between in the Patterns of cognitive styles and Level of modernization among school teachers belonging to tribal community in the respect of their Income. Hence, the Null hypothesis is accepted.

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Cognitive styles and level of modernization among School teachers belonging to tribal community in relation to their Income.

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Assam is land diversities where various ethnic groups reside together . Assam is enriched with different culture and natural beauty as well as its natural beauty . Assam had a history of immigration from different part of region . People of different religious faiths and languages have settled in the region for centuries .Different migrant groups at different periods of times had come to Assam and changed the society of Assam . They had constituted a separate class of identity , a new identity to the larger population of the state . The paper tries to analyse how had bee the Assamese society changed gradually in the Pre-colonial, Colonial-period and Post-colonial period .

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Assamese Society , Multi-Ethnicity, Ethnic -Diversities , Ethnic-Pluralism ,Cultural Assimilation , Ethnic Conflict

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A smart city relies heavily on an efficient street lighting system, which plays a vital role in enhancing the functionality and aesthetics of its highways and streets. Effectively handling the power consumption and maintenance of a street light system poses a challenging task, particularly in large countries .If any kind of fault occurred in street light that precise message will send to authorised and sub authorised incharge person through the application. In the message we are sending location of light pole and precise fault like damage wire or current flow. We are introducing the application in which administrative login will be provided. Message will send in application. After repairing the fault the incharge person have to scan his be RFID Card. RFID scanner will be mounted on the light pole. RFID reader recharge itself with solar panel. After scanning RFID card the reader will send message in application that fault has been repaired successfully with date and time, name of the person. This project helps to reduce the sloppiness of social workers and it is efficient wat to detect faults. The LDR sensor is a light-dependent resistor that changes its Subject to the quantity of available light, it is exposed to. The GPS module is a device that can determine the location of an object using satellite signals. The Blynk app is a mobile app that can be used to control IoT devices. The RFID reader is a device that can read RFID tags. The RFID tag is a small device that contains a unique identifier.

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Centralized system, Blynk app, IoT, real-time monitoring, scalability, esp32

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This paper is on the threat of terrorism on humanity. It is a creation of man for some vested interests that have gone out of control threatening the peace of the society. It has become the reason in the narrative of the geo-political relationship and realignment. In the experience of the Indo-Pak relationship and terrorism, it is observed that the countries that suffers from terrorist are found to be pawn at the hands of some other external powers. The act of terrorism in a state or region is a threat to the world at large and unless this monster is tackled collectively, it will continue to terrorise the world.

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Terrorism, insurgency, naxalism, proxy war, subcontinent, cross border

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This study focuses on the development of a house price prediction model using machine learning techniques. We analyze various features, including property size, location, and amenities, to forecast accurate property values.

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ML, Code repositories, Web Applications

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A bus detection device for the blind is a device that helps visually impaired individuals to detect and identify the presence of a bus or apublic transport vehicle at a bus stop. The device is based on RFID technology. The device could be a handheld device or a wearable device that communicates with the userthrough audio feedback.

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Radio Frequency Identification(RFID), Tags

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Stock Market Prediction Using Machine Learning is a research area that leverages various data-driven techniques to forecast stock prices and trends. This study explores the application of machine learning algorithms, such as neural networks, decision trees, and support vector machines, to analyze historical stock market data. By training these models on past price movements, trading volumes, and other relevant factors, it aims to predict future stock prices and market trends. The research focuses on evaluating the performance of these algorithms and their potential for providing valuable insights to investors and traders. Ultimately, the goal is to improve the accuracy of stock market predictions, enhancing decision-making in the financial markets.

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Stock Prediction , Data Analysis, Neural Language Processing, Machine Learning.

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The eighteen chapters of Srimad Bhagvad Gita have great teachings for establishing Better Worldliness. Lord Krishna has not only explained the four objectives of life- Dharma, Artha, Kaam and Moksha, but has enhanced with elaboration the transcendental knowledge and the importance of 'Nishkaam karma'. The teachings of Bhagvad Gita have highlighted the need of understanding the true knowledge; the need of overcoming emotions and eradicating the evils from the society for the favour of mankind and for Better Worldliness. There are so many sufferings in the world. Sufferings due to needs unfulfilled, sufferings due to greed and so on. But the main reason for the suffering is Ignorance. There are different planes of Consciousness in Creation and beyond. In the human body, in the material world or 'pind', the soul has Consciousness of 'Jagrat' or wakefull awareness. And if Jivatma keeps on thinking that material body is only self, due to ignorance, it will remain in suffering. The teachings of Bhagvad Gita explains the creation theory, the motive of life, the karma theory, the way for salvation, the significance of Nishkaam Karma and above all the need of enlightened Guru. People fight for needs, competitions, for jealousy etc., basically due to ignorance. They believe the Gross body as self and the material world as reality. One must understand to differentiate in between 'purush' and 'prkrati'. Gita explains all this, the reality of creation, of self and of ultimate 'Brahman'. Hence, whatever is the religion, the teachings of Bhagvad Gita are helpful to each and every Jivatma in understanding life and realizing the need of higher Consciousness and acquiring it with the guidance of an enlightened Guru. The teachings are surely a way to achieve Better Worldliness.

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Bhagvad Gita; Better worldliness; Nishkaam Karma

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This study investigates the interplay of teaching competency, thinking styles, and vital soft skills among secondary teachers in Kancheepuram, Chennai, and Tiruvallur districts of Tamil Nadu, India. The research utilizes survey data from 1000 teachers, employing statistical techniques to analyze the relationships. The findings reveal that there are significant differences in teaching competency, thinking styles, and soft skills among teachers in different districts. It also identifies variations based on gender, age, and teaching experience. The study suggests implications for teacher training and curriculum development to enhance these crucial aspects of education. Future research can expand these insights to other regions and educational levels.

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Teaching Competency, Thinking Styles, Vital Soft skills.

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The project aims to develop a specialized chatbot catering to the unique communication needs of the deaf and mute community. Speech recognition, sign language recognition, and natural language processing (NLP) showcase the best applications of state-of-the-art technologies. A crucial instrument for enhancing in-the-moment communication between those with and without speech and hearing impairments is the chatbot.. The primary goal is to develop an interface that facilitates smooth interactions and is both intuitive and user-friendly. The chatbot converts text queries, visual cues, and sign language inputs into meaningful responses.Furthermore, it facilitates speech synthesis and syntax for users with hearing impairments to communicate information. In this, the Python programming language is chosen for its versatility, enabling the implementation of complex functionalities while maintaining code readability and ease of maintenance. The project contributes to the broader discourse on assistive technology and accessibility, emphasizing the importance of technological innovations in fostering inclusivity and breaking down communication barriers for marginalized communities.

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Natural Language Processing(NLP), Deaf-Mute Communication, Sign Language Recognition, Two-way Communication, Studying Sign Language, Multilingual Support, Social Influence

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