Volume 5 | Issue 1 |

 Abstract

Financial Inclusion and Women Empowerment

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Financial Inclusion and Women Empowerment

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition