Volume 10 | Issue 10 |

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Key Words: Fundamental Rights. Secularism, Religion, Democracy

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Creative Commons Attribution 4.0 and The Open Definition

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Large amounts of patient health data files and sensor data are being generated in today's era of smart phones and wearable devices. In the healthcare industry, big data analytics is crucial to resolving problems and overcoming obstacles. The healthcare industry is experiencing a data explosion that can be managed by using big data. Petabytes of data are generated every day from a wide variety of sources, and if analysed, they could provide actionable insights and solutions for improving patient care. This article aims to address what appears to be a significant problem in the field of continuous medical education and learning by identifying the main dimensions of a model proposal for increasing the potential of big data research in Healthcare for the education of medical doctors (MDs). In order to complete this research, we must first understand the advantages and disadvantages that clinical physicians face when conducting or writing a medical report. Using this research, the difficulty of digital disruption in healthcare big data analysis is assessed. The healthcare industry is crucial, making this research crucial. After all, it's about making sure people are healthy. As new technologies and methods of doing things become widely available, digital disruption becomes an increasingly important factor in today's world.

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Potential, medical physicians, big data, healthcare.

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Creative Commons Attribution 4.0 and The Open Definition

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The Internet of Things is emerging as the third wave in the development of the internet. It refers to the environment where network connectivity and computing capability extends to objects, sensors and everyday items not normally considered computers. These items are then capable to generate, exchange and consume data with minimal human intervention. Devices or things and technologies came into existence playing significant role and helps doctors or physicians to add wisdom to their decision in healthcare monitoring. IOT as a whole is very broad area. This paper explains the concepts of IoT, healthcare monitoring, its overview and adoption to our homes.

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Internet of Things (IoT)_IoT in Agriculture, Smart farming, smell Sensor

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 Abstract

kishoro ki sanvegik budhhi aevam shaikshik uplabdhi ke madhy sahsambandh ka adhyayan

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Creative Commons Attribution 4.0 and The Open Definition

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kishoro ki sanvegik budhhi aevam shaikshik uplabdhi ke madhy sahsambandh ka adhyayan

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Creative Commons Attribution 4.0 and The Open Definition

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In the modern period, people are afflicted with numerous ailments. Finding treatments for these illnesses or ways to identify them in their earliest stages has become essential for their prevention or treatment. One of the main causes of blindness and one of the eye illnesses is glaucoma. It is a disease that causes the patient's ocular vessels to slowly deteriorate, impairing eyesight. The data mining methods used to diagnose glaucoma in retinal images, including Decision Tree, Linear Regression, and Support Vector Machine, are discussed in this work. To evaluate each technique's effectiveness in terms of accuracy, sensitivity, and specificity, parameters from perimetry and the Stratus Optic Coherence Test (OCT) were supplied into it. The accuracy of the decision tree and linear regression models for the diagnosis of glaucoma is 99.17%, 92.56%, and 70.25 percent, respectively. The researcher compared the outcomes obtained from the decision tree, linear regression, and support vector machine (SVM), and discovered that they perform much better than SVM. SVM and linear regression have specificities of 97.56% and 96.34%, respectively.

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Detection of Glaucoma, Cup to Disc Ratio(CDR), Data Mining Techniques

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In the present paper I have tried to locate the Parsi community in post-colonial India and the challenges they have to face. India is known for its multicultural coexistence and harmony. It provided shelter to every needy person. Arabs attacked Iran in early eighth century and conquered it, in result, a group of Parsis escaped and reached to India. They requested and got shelter and became a part of India. Parsis, for centuries have enjoyed liberty, brotherhood and communal harmony. But in postcolonial India the community is facing multiple political, cultural and social challenges. Vote bank politics have left the community crippled. Being a dwindling community both their voice and presence is ignored. Rohinton Mistry in his novel Such a Long Journey deals with happy past of Parsis as well as the rising anxiety over being appropriated controlled, disempowered, humiliated, devaluated, discriminated and dislocated.

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Postcolonial India, multicultural existence, minority, harmony, anxiety.

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Creative Commons Attribution 4.0 and The Open Definition

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Recent developments in low-power microelectronics and downsizing have led to the development and spread of wireless sensor networks. These networks can keep an eye on and adjust the ecosystem all by themselves. This chapter describes how WSNs and sensors fit into the larger picture of network design, and it contrasts WSNs with cellular networks and MANETs. To date, health problem diagnosis has only taken place at the server, not the actuator, for in-hospital or at-home patient monitoring. An effective routing mechanism and channel allocation at the MAC layer is required for data transmission from the sensor to the server. The U-healthcare application's algorithm paradigm and data collection model inform the routing protocol under consideration. This chapter describes the basic building blocks of a sensor network that can be used for virtually any purpose. Continuous monitoring of an environment or a patient's vital health parameters generates massive amounts of data. Since the server is outside of the sensor's 100-meter range and requires the use of the Wifi standard for sending real-time data streams, the use of this technology is a need. The use of WSNs in the U-healthcare sector is analysed and criticised. The chapter also includes discussion of the database management systems and microprocessor database support currently on the market. Complex operations on sensor data in the U-Healthcare domain are analysed in this study. Our research focuses on incorporating an outlier detection technique into a sensor device that routinely monitors blood sugar and blood pressure to ascertain whether or not the two together constitute a critical situation warranting an alert. Our research shows that a UDBMS has been built for deployment at the sensor, allowing for the dynamic creation and storage of databases as well as the execution of ad hoc queries at the sensor.

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DBMS architecture, Wireless sensor network,U-healthcare system

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Nowadays, more and more data are being created and analysed. Users were able to save their data in the cloud and access it whenever they needed to owe to Cloud Storage Service (CSS). Due to the possibility that sensitive data will be shared with unauthorised parties, outsourcing to the cloud raises serious privacy concerns. That's why encryption is a must before sending data off-site. Traditional key search-oriented encryption methods, on the other hand, can't handle basic activities or direct searches on encrypted data. As a result, there is a pressing need for a more robust and safe method of storing data on the cloud, from which it can be quickly retrieved as needed. The study's goal was to develop security for retrieving data from the cloud. To address this pressing issue, we have provided a comprehensive overview of the most up-to-date methods and strategies in use today. We divide the methods of protecting privacy into four groups: those that rely on cryptography, those that rely on probability, those that rely on anonymization, and those that rely on rankings. In addition, a taxonomy of methods for protecting sensitive administrative information has been developed by our team. In addition, we provided a thorough evaluation of the privacy-protecting methods from the perspective of meeting privacy-protecting standards. Therefore, it is extremely desirable to provide methods for deploying effective auditing and accountability procedures that monitor the usage of data records in an anonymous fashion while also tracking the provenance to protect the data's privacy.

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Cloud computing, Data storage, Privacy, Data analysis.

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Creative Commons Attribution 4.0 and The Open Definition

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Opioid overdose is a major cause of premature death among heroin users. This article examines research on heroin overdose. The different characteristics of overdose cases are discussed including factors associated with overdose; Drug tolerance, Route of drug administration, Withdrawal symptoms- case study, prevention of opioid overdose. [1] The reason behind this review article work is to concerns about the prevalence of heroin-related morbidity and mortality, overdose, etc. are also overviewed in this review work. This review article also focused on symptoms of overdose and withdrawal symptoms. [2]

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Opioid, overdose, Effects, Death

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Creative Commons Attribution 4.0 and The Open Definition

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Technological advancements have far-reaching consequences for the evolution of computing, networking, and the Internet as a whole. Artificial intelligence (AI) is a product among many others. The world's reliance on artificial intelligence is expected to grow. Research into the use of AI in e-learning has exploded in popularity in recent years, as more and more businesses recognise its potential as a vital tool for facilitating online education. Technology education, STEAM, augmented reality (AR) apps, online learning, and many more areas have all recognised the growing significance of online education over the past few decades. Understanding the current condition of online education is necessary for properly exploring research trends in this area. In this study, we introduce a novel idea for intelligent e-learning systems, in which an e-learning platform and its user engage in a two-way conversation. There is no doubt that artificial intelligence (AI) and its applications in the field of e-learning have been instrumental in elevating the level of intelligence present in e-learning resources and methods. For the better part of the previous two decades, the internet has been utilised to enhance such educational practises as distance learning, online collaboration, resource sharing, and promotion of active learning. For the sake of lifelong learning and to ensure compatibility with other educational management operations, many universities and educational institutions throughout the world now offer online services like admissions and virtual (online) learning environments.

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E-Learning, Artificial Intelligence, Online learning, Learning Environment.

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Creative Commons Attribution 4.0 and The Open Definition