Volume 9 | Issue 10

 Abstract

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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 Keywords

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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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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Ketosis is a common metabolic disorder of dairy cows that occurs mainly due to negative energy balance (NEB) and its prevalence results in reduced milk yield and poor reproductive performance. The diagnosis of the ketosis in the subclinical stage will prevent metabolic deterioration and stops production losses. In the present study, an in-house bovine ketosis diagnostic kit (KetoQuant) that detects ?-hydroxybutyrate (BHB) in milk samples was developed and its diagnostic sensitivity and specificity were estimated in comparison with a commercially available milk strip test. Of 702 milk samples screened, using 0.2 mmol of BHB as a cut-off for diagnosing sub-clinical ketosis, the diagnostic sensitivity and specificity were estimated to be 99.5% and 99.2% respectively with the positive predictive value of 99.5% and a Kappa value of 0.988. Thus, the developed KetoQuant kit is useful as an affordable cow-side test for BHB detection in milk samples for routine monitoring of ketosis in cows.

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Subclinical ketosis, milk, ?-hydroxybutyrate, diagnosis, bovine, colorimetry

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In this paper ,the eigenvalues in the time-domain, we can say ,indirectly the poles of system functions in the s-domain, are used to determine the dynamics of the systems in circuit analysis of linear circuit. This paper deals with an efficient method to determine the eigenvalues of linear electrical circuits. It is based on characteristic equation obtained by applying nodal and mesh analysis. Its applications are simpler than the state-space representation. This paper gives the dominant method for evaluation of Eigenvalues.

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eigenvalues; linear electrical circuits; mesh analysis; nodal analysis.

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Human Development, Economic Growth, Poverty, Women Education, Education.

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Change is the law of nature, and Education is not an exception to this. In this digital era, many innovative technologies have their influence on the teaching-learning process. Flipped learning is one such innovative pedagogy that attempts to increase student involvement and Engagement in learning. Flipped learning reverses the traditional learning environment by delivering the content outside the classroom and actively engaging students in learning activities during the class-time. In this experimental study, the researcher has attempted to investigate the differences in Learning Engagement of Secondary School Students who were taught using Flipped Learning Instructional Pedagogy compared to Traditional Learning mode. The analysis of the data collected shows that there is a significant difference in the mean scores of Learning Engagement of students who were taught using Flipped Learning and Traditional learning mode. Further, students taught using Flipped Learning were found to have better Learning Engagement and higher participation in the classroom activities than their counterparts.

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Flipped Learning, Learning Engagement

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Indian women are playing a crucial role in this era of globalization. They are also playing a considerable role in the progress of our country and in increasing the real per capita income. Though entrepreneurship, women are being acknowledged as job providers rather than job seekers. They are contributed by giving new and innovative ideas for business management and organization. Nevertheless, the involvement of women in entrepreneurial activities is still a matter of concern and the reasons for low participation of females in the field of entrepreneurship are needed to be analyzed or discussed. The paper reveals the status of women as an entrepreneur in India. The paper discussed about the challenges that a woman generally has to face to become an entrepreneur as well as the problems she faces after being an entrepreneur.

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Entrepreneurship, Women, Development, Activities and Opportunities.

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 Abstract

SAFED MUSALI - KHETI EVAM AARTHIK VIKAS ME YOGADAN

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SAFED MUSALI - KHETI EVAM AARTHIK VIKAS ME YOGADAN

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Augmented Reality, Virtual Reality, Mixed Reality, Augmented Reality Wearables, Smart Glasses, Human-Computer Interaction, Spatial Computing, Artificial Intelligence, Machine Learning, Computer Vision, ARCore, ARKit, MLKit, Unity

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