Volume 9 | Issue 3 |

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human resource, remuneration/Compensation, Organization, Management, Compensation benefits, organization productivity.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Inventory, Stock, Inventory Turnover Ratio, Inventory Holding Period Ratio.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Novel coronavirus disease (nCOVID-19) is the most challenging problem for the world. The disease is caused by severe acute respiratory syndrome coronavirus-2 (SARS-COV-2), leading to high morbidity and mortality worldwide. The study reveals that infected patients exhibit distinct radiographic visual characteristics along with fever, dry cough, fatigue, dyspnea, etc. Chest X-Ray (CXR) is one of the important, non-invasive clinical adjuncts that play an essential role in the detection of such visual responses associated with SARS-COV-2 infection. However, the limited availability of expert radiologists to interpret the CXR images and subtle appearance of disease radiographic responses remains the biggest bottlenecks in manual diagnosis. In this study, we present an automatic COVID screening (ACoS) system that uses radiomic texture descriptors extracted from CXR images to identify the normal, suspected, and nCOVID-19 infected patients. The proposed system uses two-phase classification approach (normal vs. abnormal and nCOVID-19 vs. pneumonia) using Random Forest classification algorithms. The detection of severe acute respiratory syndrome coronavirus 2 (SARS CoV-2), which is responsible for coronavirus disease 2019 (COVID-19), using chest X-ray images has life-saving importance for both patients and doctors. In addition, in countries that are unable to purchase laboratory kits for testing, this becomes even more vital. In this work, we aimed to present the use of machine learning for the high-accuracy detection of COVID-19 using chest X-ray images.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Covid 19 prediction image processing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sentiment analysis, Naive Bayes Algorithm

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Creative Commons Attribution 4.0 and The Open Definition

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The study aims at describing the underlying mechanisms within the relationship between nursing turnover and quality of care of patients. The target of the study was to seek out however turnover in nursing units affects processes among key work teams and the way the impact of those processes affects outcomes of patients. Additionally T this study was to look at however nursing unit turnover affects key workgroup processes and the way these processes mediate the impact of nursing turnover on patient outcomes. We tend to additionally notice suggestive proof that turnover ends up in lower quality in alternative dimensions and will increase mortality. Associate in nursing implication of our mortality results is that turnover is also a mechanism for the procyclicality of mortality rates. Additionally this paper Understanding the determinants of patient mortality will cause the event of ways that scale back mortality and stop unnecessary death.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nursing Turnover, and Quality of Care, Patients, Affects, Development and Mechanisms

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Infrared remote-control system, TSOP1738.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A dam is a man-made structure to block or stop the water, the oldest civilizations, like Egypt, Mesopotamia, Harappa, Chinese, Indus etc are Build many dams for the use of domestic water supply and irrigation without any hamper. The dam has several beneficial aspects but could not avoid its negative aspect. The Lower Suktel dam exist in the year 2001 as multipurpose river project, with aim of irrigation, fishing, domestic water supply etc. but it has several negative impact such as ecological disturbance, forest loss, loss of flora & Fauna, population displacement, loss of livelihoods, human harassment etc. the present investigation conduct a micro study on socio-economic based on field survey. Loss of Agricultural land and loss of livelihood is a crucial problem caused by the dam. The data and information, qualitative and qualitative, descriptive statistic used in primary data with SPSS & Eviews software.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Lower Suktel dam, displacement, socio-economic, land, Agriculture

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper have tried to understand and explore how the Gay relationships or kinship is portrayed and represented in the multimedia. For my study, I have taken Four American Television Series which constitute of protagonists who identify as homosexuals. I have tried to understand through the depiction of their characters that whether these portrayals are just a mere replication of the existing hetero-normative order or are an attempt to challenging the same .I have adopted content analysis as my method of research and have done a detailed in depth analysis of the mentioned shows. This paper have inferred from the analysis that almost all the shows in some manner or the other conforms to the social hetero-normative structure and instead of challenging it, ends up adopting it in different forms. It shows how the portrayal of characters intended to question the social structure ultimately falls back to the trap of heterosexual matrix.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Homosexuality, Representation, Gay, Heteronormaticvity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

NPA, corporate governance and regression

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Creative Commons Attribution 4.0 and The Open Definition