Volume 10 | Issue 10

 Abstract

COVID-19 pandemic has posed unprecedented challenges to public health, food systems and economic structure of the world leading to dramatic loss of human life and income. Antenatal care is one such non-emergency yet essential health service which got overlooked and hence was compromised. However, in the current pandemic situation such frequent visits to hospital for seeking care; will expose the expectant mothers and their fetuses to COVID-19 infection. The present study was envisaged with broad aim to study Impact of pandemic situation on antenatal care of pregnant women living in rural area. A sample of 75 of pregnant women of the age group of 23 to 26 years from rural area, kanakapura was randomly selected for the present study. The tool was used to elicit the information was a developed scale by Dr.Muhaidat.N, Fram K, Thekrallab.F, Qatawneh A and Al.Btoish.A(2020). The data obtained was tabulated and analyzed by student t-test and chi-square test. The results show that the mean score of 9.23 and mean percentage of 19.2 of the respondents got affected with pandemic during covid-19.

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antenatal care, pandemic condition

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Since the beginning of the genre, visual art has been associated with hip-hop culture. At first, this association was most pronounced in the form of graffiti and vogue (Fricke and Ahearn 2002). Fab 5 Freddy, Rammellzee, and Jean-Michel Basquiat were renowned hip-hop artists of the era whose creations blurred the lines between music and visual art. Hip-hop has spread throughout the world and affected a wide range of societal aspects, including the arts, the classroom, and popular culture. Many academicians have studied the connections between hip-hop and visual art, fashion, and postmodernism, while others have critically analysed hip-hop's influence on visual culture in response to the potential of this influence. Rap, Hip-Hop, Reggae, or R&B music has long been stigmatised as violent, misogynistic, and a reflection of a society that values aggressive behaviour toward one another. This genre consequently has the ability to alleviate interpersonal and emotional discomfort because it gives the majority of youngsters a cultural perspective through which to express themselves. Some of the following issues are addressed in this paper to show the connection and influence of Visual art and culture: How have partnerships between hip-hop artists and visual art evolved throughout time? What methods of critical discourse on visual culture, cultural appropriation, postmodernism, and/or aesthetics can be used to promote knowledge of hip-hop/rap in classrooms? How do writers and authors present a nuanced argument that Hip-Hop Pedagogy can be implemented as a type of culturally responsive instruction?

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: Hip-Hop Pedagogy, Call-and-Response, co-teaching, street art, visual art

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 Abstract

Commencement of change process in mid 1990's changed India's approach position on improvement system totally. Beginning methodology of funding current record deficiency predominantly through obligation streams and official improvement help has changed to tackling non-obligation making capital streams. Under this methodology from September 14, 1992; Unfamiliar Institutional Financial backers (FIIs) were allowed to put Securities exchanges in India. From that point forward Indian Securities exchanges have changed considerably in its size, profundity and character. In this period, Indian and world business sectors have seen great times and times of emergencies both on outside fronts and in Financial exchanges. This paper attempts to assess job of FIIs in Indian Securities exchanges because of expanding portion of FIIs in Securities exchanges in India.

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 Keywords

Indian Stock market, foreign institutional investors (FII), investment.

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Antenatal Care, Institutional Delivery, Maternal Health Care Utilization, Urban Slum

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In this paper, we introduce the concepts of generalized semi-pre w- closed sets and generalized semi-pre w-open sets. Further, we study some of their properties.

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weak structure, generalized closed set, generalized semi-pre w-closed set and generalized semi-pre w-open set

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Orthodontic diagnosis is a comprehensive process that incorporates numerous data from the facial and occlusal structure as well as the requirements of the patient. Because of this, it is difficult to imagine if artificial intelligence (AI) would ever completely replace the current conventional diagnostic procedure. However, new developments in machine learning and artificial intelligence have been used to automate image recognition for cephalometric tracing and model analysis, demonstrating a reasonably high reliability. Based on collective experiences and research findings, orthodontic diagnostics has made a small progress toward automated processes. This review's objective was to provide information on the scope and effectiveness of artificial intelligence-based models that have been extensively employed in orthodontic diagnosis, treatment planning, and prognosis prediction.

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Artificial intelligence; Artificial neural networks; Automated orthodontic diagnosis; Deep learning; Machine learning.

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Entrepreneurship is a solution to the increase in the unemployment rate. Thus, it is important to do further research on this topic to determine factors affecting entrepreneurial intention and improve the important factors. This type of research is causal research with 100 respondents. The results showed that the four hypotheses were significantly and positively supported. The most important factor in forming risk-taking is innovation because when an individual makes an innovation, they are most likely prone to risks since the result of the innovation is not guaranteed success. This study's result contributes to expanding the theory of planned behavior and improving factors that lead to entrepreneurial intention.

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entrepeneur, risk taking, entrepreneurial intention, planned behavior

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Industrialization, Major Projects, Special Economic Zones, SPS Nellore District

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This paper explores the applications of artificial intelligence and neural networks and provides an overview of the field, where the AI & NN are separately used and also where used together and discusses the critical role of AI & NN played in and business and medical applications.

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Artificial intelligence, Neural networks, Soft computing, Facial animation

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 Abstract

A Study of Economic Status of Women Weavers Working in Maheshwar Handloom Industry

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A Study of Economic Status of Women Weavers Working in Maheshwar Handloom Industry

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Key Words: Fundamental Rights. Secularism, Religion, Democracy

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

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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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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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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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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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 Keywords

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

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