Volume 11 | Issue 4 |

 Abstract

Medical science and medical facilities are divine but at the same time waste generated from it, if not treated and disposed properly then it becomes dangerous for our life and also for our environment. It has direct impact upon human health and environment. Outbreak of COVID-19 pandemic in the whole world result in rapid influx of Bio-medical waste (BMW). It is a viral disease and spread very fast. COVID-19 BMW (C-BMW) contents mainly personal protective kits (PPE), chemicals, masks, single used plastic, rapid antigen kits (RAT Kits) and many others and come under the yellow category BMW (Y-BMW). This paper focuses on massive amount of BMW produced during COVID-19 pandemic in my study area. This massive amount of BMW becomes alarming issue. Central pollution control board (CPCB) developed a software named ''COVID-19 BMW'' for waste tracking which can track BMW at the time of generation, collection and disposal.

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 Keywords

C-BMW, COVID-19, pandemic, RAT Kits

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Cardiomyopathies are diseases of the heart muscle that affect mechanical and/or electrical function and cause dilated, hypertrophic, or restricted pathophysiology. Dilated cardiomyopathy (DCM) affects the structure and operation of the heart muscle and is a non-ischemic disorder. The clinical picture of DCM consists of left or biventricular dilatation and systolic dysfunction without coronary artery disease, hypertension, valve disease, or congenital heart disease2. In addition, arrhythmias (irregular heartbeats) and blood clots in the heart can result from dilated cardiomyopathy.

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 Keywords

DCM, DM-II

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The face is an important part of human body and can recognize a person by using faciaI features biometrically, the system can be used. The Intelligent Attendance System is a realworld solution that goes hand in hand with managing employees' daily activities. In order to overcome this problem and to work more easily, this process is used for students in classroom using some face recognition algorithms and OpenCV (Open Source Computer Vision). The model combines cameras that capture input images, algorithms that detect faces from input footage, encode and recognize the faces, and mark participation in classrooms. The results showed that smart attendance management improved its performance. Attendance is marked after the student ID. The system offers more solutions and more accurate results than the existing joins and leave management in the conversation with user.

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 Keywords

OpenCV, Camera, LBPH, Attendance, Biometric, Face recognition.

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The aim of this study is to analyze the impact on e-learning among various schools , colleges and universities during covid -19 period . As we all are aware about this pandemic time. All universities , colleges and schools due to this pandemic switched to virtual learning from conventional way of learning . As all schools , colleges and universities are closed all classes are conducted through virtual learning platforms or applications. In this paper a well-structured questionnaire survey method is used to examine the college , school and university student's and faculties teaching-learning experiences during covid-19 period. This questionnaire based survey is being conducted in various schools ,colleges and universities. In this study stratified sampling method is adopted and sample size is two hundred across some schools and colleges of India . This paper present the results of a survey conducted in school ,colleges and university students who were studying from home during covid-19 . What difficulties they are facing while and what benefits they are getting while learning at home . This survey covers the students of age group between 10years and 23 years .The questionnaire consisting of various pros and cons of e-learning during this most critical time

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 Keywords

e-learning ,online education, Covid-19.

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With the help of computer technology, many solutions have been implemented in order for the visually impaired to become accessible and profitable from them. Thinking this was a great idea, we created a desktop application that helps visually impaired people send and read emails like normal people. In this research, the VMAIL system architecture explains about the Python platform. The app uses "text-to-speech" and human speech recognition to make it easy to send, read, and email using a computer. Internet has become so popular where all of the services provided are used effectively by everyone . However, visually impaired people encounter problems in accessing this information as well as using internet services. Advances in computer-based accessibility systems have opened up many opportunities for visually impaired people around the world. Virtual environments based on audio feedback, such as screen readers, have greatly helped visually impaired people access Internet applications. We describe a sound recording design that can be used by visually impaired people for easy and accessible e-mail.

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Helps visually impaired people to access the Email through internet

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ABSTRACT This research paper explores the theme of the War of Memory and Identity in Yoko Ogawa's The Memory Police (2019), a work of Japanese science fiction. The novel depicts a society where memories and objects gradually disappear, and those who remember them are at risk of being persecuted by the Memory Police. This leads to a struggle between those who seek to preserve their memories and identity, and the forces seeking to erase them. Using the theoretical framework of retrieval failure, this study examines how the characters in the novel suffer from memory loss and the consequences of this loss on their identity and sense of self. The study also analyzes the ways in which the novel reflects the sociopolitical context of Japan, particularly in relation to the loss of memory and identity in the aftermath of World War II. Through the lens of science fiction, the novel explores the complexities of memory and identity, and how they are linked to power and control. This study contributes the understanding of the role of memory and identity in shaping the individuals and societies, as well as the consequences of their loss.

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Keywords: Japanese literature, science fiction, memory, identity, war, retrieval failure, forgetting, dystopia, authoritarianism, loss, disappearance.

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Abstract: Exams are an integral part of a student's academic journey, and the exam period can be a challenging time for many students. The pressure to perform well, combined with the need to study for multiple subjects, can cause students to experience a range of emotions and mental states. This research paper aims to explore the mentality of students during the exam period and identify the factors that can affect their mental health. This research is carried out in the Science and Humanities Department of Yashwantrao Chavan Polytechnic, Ichalkaranji.

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Key Terms: Students' Mentality, Exam Period, Mental health

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Cardio-respiratory fitness is defined as the body's ability in utilizing oxygen to produce energy during physical activity. The best way to measure cardio-respiratory fitness is to assess VO2max. The main aim of this study was to assess cardio-respiratory fitness using Queen's College Step Test and Oxygen Saturation in Undergraduate Female Physiotherapy Students. Queen's step test and oxygen saturation of total 158 physiotherapy students were studied. Data was analyzed using descriptive analysis. Reduced cardio-respiratory fitness in the form of VO2max was identified and they were encouraged for lifestyle modification along with adequate physical activity done regularly to improve their cardio-respiratory fitness.

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Cardio-respiratory fitness, oxygen saturation, VO2max.

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This study aims to predict stock prices using Long Short-Term Memory (LSTM) neural networks. The LSTM models were trained on historical stock data and used to forecast future prices. The dataset used for training and testing the models was obtained from the Yahoo Finance website, and consisted of daily stock prices of the S&P 500 index. The data was preprocessed and normalized before being fed into the LSTM models. The LSTM models were able to accurately predict the stock prices for the test data, with an average mean squared error (MSE) of less than 0.01. The results demonstrate the effectiveness of LSTM neural networks in predicting stock prices and provide insights for investors and traders to make informed decisions.

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Stock Market Prediction, LSTM

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Pyrimidones constitute a class of heterocyclic compounds with multifold applications in various fields of chemistry and medicine. The pharmaceutically important scaffold, has been synthesised by different researchers over a century of a work all over the world. Variety of chemical reagents and conditions have been used in this regard but prominently the Lewis acids are normally employed. In the present paper, we would like to report herein the green method for synthesising the dihydropyrimidone derivatives, commencing from the aromatic aldehydes, ethyl acetoacetate and urea under the catalysis of a novel nickel based organometallic reagent without employing any organic solvent for the conduct of a reaction . The work up is easy and the product formation takes place in very high yield. The products are characterised by IR and 1 H NMR spectroscopic spectral data.

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 Keywords

Biginelli reaction, Nickel based reagent, dihydropyrimidone derivatives

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Creative Commons Attribution 4.0 and The Open Definition