Volume 5 | Issue 1

 Abstract

The main aim of this paper was to review how artificial intelligence plays a critical role in healthcare. Artificial intelligence (AI) will be used more and more in healthcare due to the growing intricacy and volume of data. Payers, suppliers of treatment, and organizations in the health sciences are already using a variety of AI methods [1]. Adverse events connected to substandard treatment are one of the top ten causes of mortality and disability in the world, and between a third and half of these occurrences seem to be avoidable. Investments in minimizing harm may save money and enhance patient outcomes. Using AI as a tool to enhance safety both within and outside the hospital has enormous promise since it can provide solutions to forecast risks, gather a range of data, including new and already-available data, as well as contribute to quality improvement efforts [1]. For example, artificial intelligence may assist in decision-making by identifying patients who are at high risk of hospital injury and guiding preventative and early intervention initiatives. Outpatient, community, and home settings may all benefit from AI's use [2]. These new technologies, when used in conjunction with digital techniques, may enhance communication between patients and healthcare practitioners, therefore reducing the occurrence of avoidable illnesses. Existing data will be useful, but new data will be accessible thanks to sensor technology, which should lead to better predictions. Patient involvement and adherence, as well as administrative operations, are some of the most common uses for these technologies [2].

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Electrical automation control, automation, artificial intelligence, technological system

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Theoretical simulation using MATLAB programming was developed to study the current-voltage (I-V) characteristics of solar cell and its module assembly. Recursive simulation method was developed and used to fit with the laboratory measurement. It was observed that the cells assembled in module exhibited higher series resistance and comparatively poor performance than their individual status. The analysis revealed that the increase in series resistance also damages the junction properties of the solar cells used to assemble the modules. Details are reported in this paper.

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Solar cell, Module assembly, Series resistance, Ideality factor, Fill Factor.

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Acylation of indole has been carried out over heterogeneous and recyclable H-ZSM-5 zeolite under microwave condition to obtain 3-acetyl indole. H-ZSM-5 zeolite shown the better catalytic activity compared to other zeolites due to increased accessible acidic sites, found to be more efficient and easily recyclable.

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Heterogeneous, recyclable, microwave, H-ZSM-5, Zeolite, acetyl indole

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Upsurge of Bengali Novel, Novels of Satinath Bhaduri, French Novelist, Forms and Technique, Uniqueness.

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IMPORTANCE OF YOGA IN DAILY LIFE

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At the moment, renewable energy resources are widely deployed to satisfy the demands of higher energy consumption, reduce pollutants and create socio-economic benefits for sustainable development. Microgrids can be integrated into the utility grid with the use of such distributed energy sources. An autonomous system consisting of distributed energy resources that may operate in an island mode during grid failures is included in the micro-grid idea. For the optimal use of these dispersed power resources in a smart, safe, dependable and coordinated way, an energy management system is necessary for microgrids. Therefore, this review paper compares and critically studies decision-making techniques and the related microgrid energy management systems resolution approach. Various approaches of quantification of uncertainties are synthesised to manage the volatility and interference of renewable energy resources and demand. The cost-efficient installation of microgrid energy management systems is also being explored in order to compare communication technology analysis. Finally, we share insights into the future and applications in the real world.

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Microgrid, renewable energy resources, communication technologies, energy management system, optimisation.

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In Recent Decades, number of Cases filed has filed in respect to Environmental Protection before various High court and Supreme Court. Due to these cases and other matter cases the court has been overburdened. So, Government thanked about the establishment of Separate Court machinery to speedy disposal cases, so in 1995 Centre Court enacted National Green Bench Tribunal. This article consists of Composition of National Green Tribunal and its Composition and Important orders of NGT.

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Environment, National Green Tribunal, Judiciary, National Appellant Authority Act, Constitution.

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Supplementing day-to-day energy requirement using renewable sources of energy is essential. However, highly fluctuating nature of renewable sources necessitates storage. Storage is expensive and has to be replaced periodically. Hence there is need to integrate available power, which may be indoor or outdoor. In this project an innovative stand alone, indoor energy generation by light system is proposed by doped VGP with non-fermi liquid materials (UXTh1-xPdSi2, x ? 0.07) with empirical formula. The CFL Radiations are subjected towards Solar PV6Plate through the doped VGP to improve the efficiency of Solar PV Panel

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Vaseline Glass Plate (VGP), Compact Fluorescent Lamp (CFL) Yellow-Green Color Light(Y-G-CL) &Yellow Light (YL) and Non-Fermi Liquid (NFL).

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Financial Inclusion and Women Empowerment

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Financial Inclusion and Women Empowerment

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A well-designed sampling arrangement can greatly improve the information that can be formed from a survey. Once a broad sample design is recognized, precise design parameters such as sample sizes and collection probabilities need to be preferred. This is classically achieved using an optimal sample design, which minimizes the difference of key statistic or statistics, revealed as a purpose of design parameters and population characteristics, subject to a price constraint. A common approach to sample distribution allowing for indefinite design information is planned and evaluated. This endeavour has sketched about the introduction to sample design, sampling and non-sampling errors, type of sampling designs, systematic sampling, cluster sampling, stratified sampling, multi stage sampling, data collection introduction, survey, the differences between survey and experiment, collecting of primary data, collection of data through questionnaires, collection of secondary data, selecting of appropriate method for data collection, case study characteristics. However, the primary objectives of this endeavor are to make the researcher familiar with the sample design and data collection for project or research work, yet the study specifically aims as to make the researcher familiar with the sample design and data collection in research design work. It will also discuss various outlooks of sample design and data collection process.

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Sample Design, Data, Sampling Method, Research Methodology, Sampling and Non-Sampling Errors, Probability Sampling and Non-Probability Sampling.

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KEYWORDS: Altitude, Physiological Aspects

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The poem captures the relationship between man and Nature and also highlights the conflict between wishes and obligations we quite often face in our lives. The poem effectively brings out a subtle tension between the timeless attraction of the Nature and the pressing obligations of the present moment. This poem most convincingly depicts the boundaries and limits within which human beings normally go through the journey of their lives, and which do not allow them to get derailed from their respective paths.

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Woods, snow-clad, enticing, mesmerizing, queer, solstice, obligation

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Contemporary Contexts, Enmity, Myth, Parallelism, Portrayal, Revenge

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Up From Slavery :A Study of Self, Community and Identity

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Intellectual Disability, Parents with Intellectually Disabled children, Stress

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Artificial Intelligence automation is developing rapidly and increasingly impacts and changes important sectors' landscape, including business and the economy. With AI Automation advancement, businesses, organizations, and companies are increasing their focus on applying technology to increase efficiency and effectiveness in different processes. Irrespective of the many benefits that have been identified with increased automation, fear has also increased among a section of sectors especially labor, as workers perceive the risk of job loss and unemployment. Based on this growing controversy, it is important to conduct critical research on AI Automation in terms of what it is, what other researchers have found regarding the topic, its important applications, what the future holds, and the relevance of the findings to America in particular.

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AI, Automation

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The study assesses the variables, flexibility and leg strength of Badminton players of District Ganderbal. The study is limited to the inter-colligate Badminton players of district Ganderbal, wherein primary data has been collected from 40 participants, who understudied in different schools of district Ganderbal during the session 2018-19. The players were tested by Sit and reach test and Standing broad jump in order to measure their flexibility and leg strength. From the data analysis, it emerged that there was significant effect of plyometric exercises on flexibility and leg strength of badminton players through the statistical analysis after six weeks training program.

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Plyometric exercises, flexibility, leg strength, Badminton Players.

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Combining multiple datasets and applying machine learning algorithms would help city officials and fire services direct their resources more efficiently, avoid disasters, and save lives in the occurrence of a fire incident. Also, it might at most help in making accurate forecasts about where fires are going to occur. Every year, the risk analysis model that implements machine learning responds to emergency calls and helps prevent the occurrence of a fire incident. It is because they can give out smoke alarms, inspect commercial buildings, and educate the community on matters that surround risky behaviors that may trigger fire, among other preemptive actions. Additionally, this success comes along with challenges and associated problems such as limited resources. For this very time, they have only achieved very little in terms of risk analysis mechanisms. Predicting the occurrence of fire in property constitutes a very significant component in management and analysis of fire. This is because it plays a significant role in recovery efforts, mitigation, and resource allocation. It is challenging to accurately predict a fire incident, although it is an essential factor in protecting property and human life. This paper provides the proposed models, which are focused on statistical machine learning and risks optimized by the use of indexing for assessment fire risks. Generally, the models that are currently used in predicting fire does not provide satisfaction and accuracy. The factors that affect the occurrence of fire are the frequency of fire occurrence and diversity, which are very sparse. Therefore, to improve the accuracy of predicting fire occurrence, there must be a risk analysis model that implements smart machine learning technology. This research paper presents an analysis and description of property fire prediction methods based on machine learning. A novel algorithm for property fire risk prediction, which is based on machine learning, is presented. Also, the implementation of the algorithm that uses data from different frameworks is demonstrated in having the ability to predict the fire occurrence accurately.

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Machine learning, Risk analysis models, Artificial neural network, fire risk prediction, and assessment.

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Microfinance provides micro credit to people residing below the poverty line and who are deprived of formal financial. It is a supplement which makes these people involved in their small businesses. Microfinance focuses on providing microcredit in standardised manner. Microfinance has various schemes which play crucial role in enhancing women�s role in decision-making. This paper is an attempt to diagnose the role of microfinance in the development of the rural area through its policies. It aims to find out impact and importance of rural development in India. It is observed from the study that microfinance brings effective changes in the Nsociety with the policies and practices. It is concluded marginalised people in rural areas especially in a country in India. Its main aim is to cater the needs of poor people and guide, motivates them to increase their economic and social status.

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Microfinance, Rural Development, Financial Services, Women Empowerment

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AI plays an important role in optimizing DevOps performance, it can enhance performance by offering instant creation and operating cycles and providing a positive experience for customers. Machine learning systems can make it easier to acquire data from different DevOps system pieces. This involves speed, errors, and burn rate, which are more conventional methods of production. Also, a component of DevOps is data generated by seamless tool integrations. Metrics such as number and time of integration, overall success, and deficiencies per integration are only useful when correctly measured and correlated. This paper will explore the different applications that practice Artificial Intelligence and DevOps.

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DevOps, Artificial intelligence, DevOps Automation, Software architecture

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