Volume 10 | Issue 7 |

 Abstract

The paper focuses on furnishing the entropy measure of bipolar intuituionistic fuzzy sets.We further utilise the constructed entropy measure to technique for the order of preference by similarity to positive ideal solution(TOPSIS) method which is a widely used method in solving the real time decision making problems. Bipolar intuitionistic fuzzy technique for the order of preference by the similarity to the positive ideal solution (BIFTOPSIS) is put forward as an effective multicriteria decision making problem approach with group decision making to evaluate different job alternatives according to the students preferences.The choice of the most undertaken job by the students during the COVID-19 pandemic lockdown involving different criteria is a difficult and complex task.In such complex situations, (BIF-TOPSIS) method can be used to completely eliminate uncertainity and to order the most undertaken job by students in a better way.

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 Keywords

Bipolar intuitionistic fuzzy set(BIFS),BIF-TOPSIS method,BIF-entropy measure,BIF-euclidean distance. ___________

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Creative Commons Attribution 4.0 and The Open Definition

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The discovery of the SARS-COV-2 Omicron strain, which is severely modified, has caused concern all across the world. Healthcare systems are seriously threatened by the virus's growing virulence and transmissibility. The numerous mutations in its spike proteins allow it to evade antibodies, casting doubt on the efficacy of the existing vaccinations.

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 Keywords

Omicron, mutation, spike protein, transmissibility variant of concern, diagnosis.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Diarrhea is the second largest contributor to children under five mortality in the world after pneumonia. According to data from the World Health Organization (WHO), there are about 1,7 million cases of diarrhea in children in the world per year which causes the death of around 525.000 children under five. Several studies have stated that the diarrhea management program in Indonesia, namely Lintas Diare, is still not well implemented. The aim of this study is to know the diarrhea therapy for children under five at Keputih Health Center Surabaya in 2018 and to find out whether the therapy given is correct according to Lintas Diare program. This research was conducted by retrospective descriptive observational method using medical records of Keputih Health Center Surabaya. The majority of children under five who received diarrhea therapy were children under one year old, boys, and children with good nutritional status. The rational drug use based on the right indication and right drug selection was found in 61 patients (74,4%), the right dose of zinc in 57 patients (93,4%), the right way of administering the drug in 82 patients (100%), and the right period of treatment in 82 patiens (100%). Diarrhea therapy for children under five at Keputih Health Center Surabaya in 2018 was still not completely in accordance with Lintas Diare program.

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 Keywords

diarrhea therapy, children under five, primary health center, lintas diare

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Fibromyxome acral, IRM , tumeurs , parties molles

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Socioeconomic status of women residing in Sundarbans are analyzed in respect of present status. The policies of government are also critically analyzed here based on present application in the Sundarbans area and feed back of respondents of this study. The main objective of this paper is to high light the vulnerable condition of women in Sundarbans and new policy for further development.

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women, health, education, poorness, lacunas, policy, analysis, development.

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In Indian society, youth unrest is a very severe societal issue. The majority of young people are directly or indirectly involved in various social issues. Youth unrest is defined as the manifestation of collective frustration of the youth in society and unemployment is one of the main causes of youth unrest. Being a youth who is very energetic, vibrant, and dynamic nature it is a very restive feeling to sit idle at home. Youth Participation in every sector is undoubtedly high representing nearly 1/3 population and contributing 34% of the Gross National Income in India. Despite the government's various programs and initiatives for youth development, unemployment has surged in the last half-decade, causing anger among young people. The study is based on secondary data and examines how unemployment is the leading cause of youth unrest, as well as the implications of youth unrest and government measures to address such a huge issue in the country.

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 Keywords

Youth, Youth unrest, Unemployment, consequences of youth unrest, government initiatives

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Deep learning is the focus of research on vision-based fault recognition (DL). Poor-quality photos usually lose crucial features, which hinders the performance of DL techniques. We employed the GAN Model to transform low-quality photos into high-quality images to solve this problem. Defects in reconstructed images are identified using the vgg16 model. The results of the studies show that the suggested strategy is more accurate and performs well even with noisy photos. To determine whether defect reconstruction for low-quality flaws is effective. Four indicators are utilized to evaluate the performances: PSNR, SSIM, cosine, and mutual information. These indications are very helpful for defect analysis.

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Deep learning, Generative adversarial Network, VGG16, Low-quality photos.

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Creative Commons Attribution 4.0 and The Open Definition

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Methotrexate, beta-hCG, Ectopic, Hemoperitoneum.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The concept of pattern recognition relates to the categorization of data patterns and the differentiation of these patterns into a set of categories that have been predetermined. This is the analysis. Pattern recognition is put to use in the interpretation of ECG signals. The waveform that is formed by the ECG signal provides practically all of the information that is needed on the activity of the heart. It is a bioelectrical signal that is used in the process of documenting the electrical activity of the heart in relation to the passage of time. In order to properly diagnose cardiac disorders and choose the most effective course of therapy for a patient, early and accurate diagnosis is essential. ECG signals are the parameter that is utilised for the identification of cardiac disorders, and the majority of the data originates from the databases maintained by PhysioDataNet and MIT-BIH. In this research, the spectral entropy, Poincare plot, and Lyapunov exponent are some of the ECG signal feature extraction characteristics that are put under the microscope. Additionally, this study utilises an artificial neural network as a classifier for the purpose of determining the anomalies associated with cardiac disease.

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 Keywords

Artificial Neural Network, Electrocardiograph (ECG), Arrhythmia, feature extraction, Classification.

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Creative Commons Attribution 4.0 and The Open Definition