Volume 9 | Issue 10

 Abstract

The melting behavior of a paraffin wax (A Phase Changing Material) in various geometries and configurations has been analyzed. The paraffin wax has been selected for the phase changing material. The various geometries are tapered vessel with hot wall outside, hemisphere section with hot wall outside and cylinder with hot wall outside. A 3-dimentional analysis of each geometry based on pressure a CFD analysis of model has been created in Fluent for simulating the Melting process. The most initial step in FEA is Pre-processing which is used to build and analyze a fluid flow model. It consists building of the models and then applying the mesh and entering the boundary conditions. Software is CATIA, it is mechanical design software which is used to create 3D modeling as it helps a designer to build and then mesh a model for computational fluid dynamics (CFD) and various scientific applications. FLUENT is a computer program for fluid flow modeling and transfer of heat in various types of complex geometries. It provides complete flexibility of meshing, including the ability of solving fluid flow problems using structured otherwise unstructured meshes those can be generated about complex geometries. The main aim of this study is to optimize the melting rate by changing the geometry of the object. Finally, the results calculated have been discussed in detail

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Melting Time; Phase Change Material; Paraffin Wax; Heat Storage; Geometries Configuration; CFD Analysis.

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The purpose of this paper is to study the self -medication practices or the perspective of people towards self-medication. Most of the people are habitual of self -medication that they are not even able to stop themselves in the crucial period of Pandemic. The survey is conducted through online structured questionnaire from 50 respondents. With the objective to analyse the self-medication practices during Covid-19 especially in pune. , to study the impact of sources on self-medication practices and understands whether self-medication pattern helped people to save themselves from pandemic effect . Its observed that people used or adapted self-medication practices during covid-19

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Self-medication, Pandemic, Social Media, Covid-19, Drug Abuse, OTC, Prescription.

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Houseplants are popular Indoor decorations. Light provides the energy plants need to make the food required for them to grow and flower. Lack of adequate light is the most common factor limiting the growth of plants in many areas of the home. Supplementary electric lighting is usually the easiest and least expensive way to provide enough light for plants that do not receive adequate natural light. Fluorescent tubes provide one of the best artificial light sources available for plants in the home. Photosynthesis helps the plant to get carbon from the air and adding it to its body-leaves, stems and roots. The rate of photosynthesis increases, when artificial light is used. Each molecule of carbon dioxide absorbed, adds one atom of carbon to the weight of the plant and produces one molecule of oxygen. We can therefore get an estimate of the amount of oxygen produced by weighing the plant.

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COMPARATIVE ANALYSIS OF OXYGEN EVOLUTION IN INDOOR PLANTS BASED ON ANTHRONE METHOD

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The Internet is a revolution in information technology. Internet of Thing plays important role in health care application.In our system, body temperature sensor , heart rate monitor sensor, ECG sensor and pulse sensor are used for collecting the vital sign of a patient. The collected information is get transmitted via NodeMCU over the internet. For the transmission and reception of a data MQTT IoT protocol is used. As a result, the doctor can examine his patient from anywhere and anytime. The system allows doctors ,nurses as well as patient easily to use the computer for checking and to save in the database. The doctor or patient can see the analyzed data on IoT web page or in Android App (Blynk App).

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 Keywords

IoT, MQTT Protocol, Ubidots, Blynk App, NodeMCU

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The field of advertising communication continues to be in a state of flux. New media and latest technologies promise to change the way people conduct business. Advertising is one sided persuasive communication from the advertiser to the target audience. It constitutes various factors like the message, the creation, source of message, the appeal, etc. Everyday consumers are exposed to large number of ads thus provides a challenge to the advertisers to adopt a strategy that achieves to perceive the mindsets of the audience. A consumer with low involvement rarely seek information and if the information is provided, the processing is passive. In most cases, consumers with low- involvement purchase product first and may or may not give any thought to product evaluation after use. Advertisers use experts, celebrities, models, and common man etc., to convey their message and all this depends on the kind of product endorsed. This paper focuses on the factors contributing to attitude formation based on the use of the child model in advertising.

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Advertising, low involvement, persuasive communication, attitude formation, message and appeal.

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FII, Hot Money, Portfolio, Risk-Return, Volatility

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With the advent of precision medicine, the traditional symptom-driven practice of medicine can be improved by using modern diagnostics earlier and creating more effective and cost-effective therapies. Due to healthcare's rising complexity and influx of data, artificial intelligence (AI) will become more widely used. Companies in the healthcare and life sciences sectors are already utilising various types of artificial intelligence (AI).Diagnostic and treatment suggestions, patient involvement and adherence, and administrative duties are all important application categories. The healthcare industry's information processing skills are being improved by new machine learning (ML) and artificial intelligence (AI) technologies. This study examines the present state of AI-based Machine Learning applications and their implications for the healthcare industry. This research included a comprehensive analysis of the literature as well as an examination of a number of real-world AI healthcare applications. Major hospitals are actively employing AI-enabled technology to support medical experts in patient diagnostic and treatment activities for a wide range of disorders.

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ANALYSIS ON AI AND ML-BASED BIG DATA PLATFORM FOR THE DEVELOPMENT OF THE FIELD OF MEDICINE AND IMPROVE THE QUALITY AND TRANSITION OF HEALTHCARE

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waste management, circular economy, sustainable development, trends

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Reinforcement Learning is a category of machine learning, that is based on evaluative feedback. It is about taking suitable actions and maximising rewards, which is based on feedback mechanisms. Reinforcement Learning has proven to be the state of arts method for a lot of tasks related to Artificial Intelligence. This paper presents implementation of one of the most important reinforcement learning algorithms. The project uses 3 games in which the agent will learn control policies using reinforcement learning approaches to achieve a high score. The project explores two deep reinforcement learning approaches, Markov Decision Process and Deep Q-Learning, both of them are proposed by DeepMind to train intelligent agents that can interact with an environment with the help of automatic feature engineering and thus requiring minimal domain knowledge.

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Reinforcement Learning, Q-Learning, Markov Decision Process

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Women's epithelial ovarian cancer has been on the rise in recent years, with one of the highest morbidity and death rates. There are numerous variables that contribute to the development of Ovarian Cancer (OVC). Adrenomedullin (ADM), which is present in nearly all tissues, including cancer tissues, has a variety of biological roles. In this study, We investigated the therapeutic potential of ADM22-52 against 7,12-Dimethylbenz [a] anthracene (DMBA) covered on silk suture induced ovarian cancer in female Wistar Albino rats. The nodule resolved weekly after the ?rst surgical procedures and ultrasonography carried out in the 20th week. On ultrasound assessment, variations of size and volume of the right and left ovaries observed. The histological studies also showed serous carcinoma cells, sarcoma, and squamous carcinoma in an induced tumour.

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ADM22-52, DMBA, Ovarian Cancer, Ultrasonography.

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Abstract: River water quality is very essential as it is used for drinking and domestic purpose, irrigation and aquatic life including fish and fisheries. The study was conducted to assess the relationship between the catchment area and water quality of Kolar River (A right bank tributary of Narmada River). Physico chemical analysis was the focus to evaluate the water quality. The water samples were collected in plastic container of 500 ml capacity from five different geographic locations along the river. And samples were collected from water at different selective sampling stations. A number of physiochemical water quality parameters including Temperature, pH, EC, TDS, DO and Chloride, were measured on field, so that the accuracy of the result will be suitable. The mean value of such respective parameters compared with the water quality standards as set by the NWQS. For catchment assessment QBR index has been used in the present study.

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Key Words: Water quality, Kolar River, Physiochemical, assessment etc

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Ballistic resistance training, Plyometric training, Reaction time, Noviced Sprinters

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Agriculture Tourism, Nature Tourism, Ethno tourism, Cultural Tourism.

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The purpose of this paper is to emphasize the spiritual/cultural eco-feministic theory and its embodiment in a poem. Wild Geese by an American poet Mary Oliver encrusts the theory of spiritual ecofeminism in a hypnotic tone. Mary Oliver, a distinguished and most beloved poet of America penned more than fifteen collections of poetry and various proses. The poem Wild Geese mentions how nature presents itself as a solace to humans, predominantly women. The poem describes the way nature extends a hand to humans even when humans tend to exploit and misuse the ecosystem.

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Ecofeminism, Wild Geese, Mary Oliver

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Background: Covid -19 was originated in Wuhan, China, has rapidly spread over the countries. It was a massive global health challenge and there was major cause of death and unfavorable socio-economic effects. Objectives: The purpose of this study is to compare the perception of patients towards seeking medical help during the Covid-19 pandemic. . Methods: The data for this study is collected from both primary and secondary sources. Data is gathered via a Google form and imported to SPSS for statistical analysis. The survey variable includes demographics, factors that impact healthcare facility postponement among healthcare seekers during the Covid- 19 Pandemic. Results: The study reveals that there is no difference in the perception towards accessing healthcare service among Rural and Urban Healthcare seekers.

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Covid-19 Pandemic, Healthcare seeker, Medical help, Socio-economic effects etc.

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The main source of water for a country like India which is having climatically vivid temperatures in different regions is the dams. These water resources available through dams are one among the most sources available for the usage to industries, livestock, irrigation, etc. and there's a critical got to make sure the safety of the water level at these dams against any natural or anthropogenic threats and to develop an efficient Water Level Management system using IoT. This paper gives an overview of the event of a data system supporting the prevailing systems with the use of some sensors and IoT. This paper proposes a unique idea of collecting and sharing real-time information about water levels of different water bodies that refills the dams to a licensed central command center through an ML model that analyzes the data collected and determines the next action taken. The call to whether the release of the water then can be taken based on the recommendation by the ML Model. By doing so, the operation of dams can be centralized and automated which can lead to better management of Flood control across the country.

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Water Level Management, Internet of Things (IoT), Dam Monitoring, Machine Learning, Dataset Handling, Data Collection

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Human Machine Interaction (HMI) is becoming increasingly popular in the medical industry.This research demonstrates real-time and long-term monitoring of breathing rate, which is essential for mobility from the user's perspective. Thermistor was employed in this work to measure the rate of respiration. Thermistor-based respiration monitoring provides a non-contact measurement of breathing rate. Practically this technology offers a potentially inexpensive means to enhance application to consumer health care products and home health care products.

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 Keywords

PSoC1,Respiration System,Wireless,Bluetooth HC05.

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A prototype hardware module for the heart rate measurement system is presented in this study. This research concentrates on real-time heart rate monitoring, which is necessary for mobility from the user's perspective. A HB (Heart Beat) sensor is being developed for acquiring the input signal using BPW34 photodiode and LED (Light Emitting Diode). BPW34 photodiode senses the HB of a person and converts it in the form of electrical output voltage using a Transimpedance amplifier. The electrical output voltage processed by PSoC1 (Programmable System On-Chip) CY8C28433 microcontroller. This work has tried to make easy short distance wireless Bluetooth data acquisition system for heart rate measurement system using advance PSoC1 microcontroller. In this system PSoC used as a transmitter and PC (Personal Computer) /Laptop used as receiver.

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PSoC1, Heart rate System, Wireless, Bluetooth HC-05 Module, BPW34.

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