Volume 10 | Issue 6 |

 Abstract

Global Pandemic emerged on December, 2019 that has impacted several countries, effecting more than 10lakh patients and making it a global public threat. The roots of transmission are direct contact, droplets and possibly aerosol transmissions. It has high spread rate in a short time and prevention of transmission has become a global priority. Since the start of the pandemic, affordable and sustainable access to oxygen has been a growing challenge in low- and middle-income countries. COVID-19 has put huge pressure on health systems, with hospitals in many hospitals running out of oxygen cylinders, availability of beds and other resources, resulting in preventable deaths. Due to the COVID-19 public health emergency, there may be an increased demand for hospital beds, stretchers, and mattresses to expand health care capacity in local hospitals, and health care systems through temporary expansion sites. To meet this need, manufacturers from a variety of industry sectors not traditionally associated with medical device manufacturing are looking for resources to manufacture and market these devices to the healthcare community. Oxygen is an essential medicine, and despite being vital for the effective treatment of hospitalised COVID-19 patients, access in hospitals is limited due to cost, infrastructure and logistical barriers. Health facilities often cannot access the oxygen they require, resulting in the unnecessary loss of lives.

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 Keywords

machine Learning, Python, Pandas, Matplotlib, sklearn, Seaborn, Decision tree, Support vector Machine, 1D CNN, Dataset, Mailing system.

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Creative Commons Attribution 4.0 and The Open Definition

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A major role has always been played by Machine Learning Techniques and algorithms in the field of biomedical sciences when it comes to the topic of pattern recognition. Aid is provided by these techniques to researchers for the purpose of classifying medical imagery and for the purpose of predicting models for the possession of a greater and better understanding related to medical problems and their complexities. The subfield that relates to the machine learning techniques that come in contact with the functioning of the brain along with its structure is Deep Learning, also known as ANN or Artificial Neural Network. Convolution Neural Network or CNN has been used in this paper so as to classify images of the neural brain for the identification or differentiation of the brains of people affected with Parkinson's Disease (PD) and those that are not. Classification of complex clinical data for the detection of Parkinson's Disease or the estimation of the stage of the disease at any moment is a challenging and difficult feat to accomplish. CNN is a Machine Learning Technique that uses MRIS, MRIs, and other such rich data resources to learn from and for the developing of classification with accurate imagery. The classification of MRI data of Parkinson's Disease patients with those who were healthy was done with an accuracy of 97.63% without normalization and with an accuracy of 97.91% in the batch with normalization by using Convolution Neural Network. This successful event goes to show that CNN is good at the extraction of the foremost discriminative characteristics of the complex clinical data and thus the constant design is capacitated with the ability to effectively be used in this analysis for performing a variety of medical imaging classifications and more.

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 Keywords

Parkinson Diseases, Machine Learning, Artificial neural network, Convolution neural network

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

It is fairly evident that an individual's excellence in performance is directly related to one's intellectual calibre, emotional well-being and physical strength. The psychological process in which a daughter values herself to gather a sense of self-worth, evaluates herself to gain self-esteem, and analyzes herself to internalize a self-image, constructs her self-identity which affects her performativity. Behavioural psychological researchers conclude that the qualitative father-daughter relationships help her in constructing a stable identity, whereas the avoidant and authoritarian fathering makes her unstable identity. But for father's support, it is likely that a daughter may not register her powerful presence in patriarchal setup. Hence, it is a prerequisite that fathers transform their role behaviour for empowering daughters to enter the masculine fields that already poses challenges. The present paper focuses on the role of father in daughter's preforming a social role identity, through different perspectives of history, patriarchy, gender, psychology and culture, and also aims to explore three narratives of different genres in comprehensive support of arguments and conclusions.

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Key Words: Patriarchy, Gender, Performance, Psychology, Self-worth, Self-esteem, Self-image, Identity, Social Roles. Parenting.

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Creative Commons Attribution 4.0 and The Open Definition

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Computer vision is the science and technology of visual acuity. It deals with the theory, design and implementation of algorithms that can automatically process visual data to identify objects, track and restore their structure and shapes. With growing interest in Computer vision use scenarios such as self-driving cars, face recognition, intelligent transport systems and more to detect and classify objects. Self-driving is currently one of the most exciting areas in which modern computer-aided technology operates. In this paper, a discussion of the current state of Computer vision on self-driving cars is discussed. The key points discussed here are self-driving car units, self-driving car parts and more focused on pedestrian identification. This paper provides a lesson for others known methods for pedestrian detection as well Tracking in photos. Some benchmark data sets are being discussed, Performance analysis metrics are also displayed.

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 Keywords

Computer vision, Self Driving Cars, Computer Aided Technology, Pedestrian Identification.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Scale development, Attitude, ICT, Factor Analysis, Senior Secondary Level.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Antimicrobial,Anti-Inflammatory Activity

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Creative Commons Attribution 4.0 and The Open Definition

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Risk is common in all forms of business organisation. A business has to face risk to earn revenue for the survival, growth and to face competition. Credit risk emerges on account of default of pricing the instalment on due data. Credit risk causes economic downturn since banks fail on account of default risk from clients. In 2008 at the world level credit crisis developed due to subprime mortgages to individuals in the US leading to heavy default which impact the global financial performance. They are capable of creating significant losses during corporate failure and bankruptcy of financial institutions (Brown et al., 2014).

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Basel III, Mean score, Risk, Mitigation, Tools Mechanism, Rank, Default, Loan, Techniques.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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

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Adolescents, Anxiety, Depression, Loneliness, Smartphone addiction.

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Creative Commons Attribution 4.0 and The Open Definition

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Green chemistry, also known as sustainable chemistry, refers to the development of chemical products and processes that minimize or eliminate the usage and production of harmful compounds. They only utilize environmentally friendly chemicals and chemical procedures. It is built on twelve principles that can be used to develop or reproduce molecules, materials, reactions, and processes that are safer for human health and the environment from the ground up. Green Chemistry decreases the environmental impact of chemical processes and technologies, as demonstrated in this article. The goal of this research is to learn more about the role of catalysts in green chemical synthesis for a more sustainable future. In the ecologically friendly synthesis of novel and existing compounds, catalysis plays a critical role. Catalyzed processes require less energy to produce and produce fewer by-products, co-products, and other waste items, indicating increased efficiency. Catalysts can be created in such a way that they are not harmful to the environment. Catalysts come in a variety of shapes and sizes, and some of them have positive effects in the chemical industry.

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 Keywords

Biocatalysis, Biomass, Ionic Liquids, Critical Fluids, Microwave Irradiation, Photocatalysis, Green Chemistry

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Creative Commons Attribution 4.0 and The Open Definition