scholarly journals Sports Training Health Analysis Algorithm Based on Heart Rhythm Feature Extraction and Convolutional Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jing Li ◽  
Yunhang Lu ◽  
Ziyi Xiao
Keyword(s):  
Feature Extraction ◽  
Heart Sound ◽  
Heart Rhythm ◽  
Research Direction ◽  
The Other ◽  
Physical Sign ◽  
Health It ◽  
Ordinary People ◽  
Analysis Algorithm ◽  
Effective Use

Intelligent sports equipment and software have emerged in the field of sports as a result of the advancement of information technology, allowing professional athletes to collect and visually display the movement and physical signs of the human body to aid in the planning of sports strategies. Intuitive data, on the other hand, cannot assist ordinary people who lack professional knowledge in exercising correctly. As a result, in the field of intelligent sports and health, effective use of collected exercise and physical sign data to analyze the user’s personal physical condition and generate reasonable exercise suggestions has emerged as a research direction. In humans, the heart sound signal is a biological signal. It can help people detect and monitor heart health problems by analyzing the characteristics of heart sound signals. The goal of this paper is to use heart sound to identify and analyze athletes’ training health. It provides a revolutionary health analysis algorithm based on heart rhythm feature extraction and convolutional neural networks, which is based on exercise training. It greatly improves the accuracy of the recognition and prediction of the athlete’s training health status.

Management of Hemophilia in France

1976 ◽  
Vol 35 (03) ◽  
pp. 553-558 ◽  
Author(s):  
Jean-Pierre Allain
Keyword(s):  
Home Care ◽  
Replacement Therapy ◽  
The Other ◽  
Blood Components ◽  
Careful Evaluation ◽  
Viii And Ix ◽  
Effective Use ◽  
General Care

SummaryTwo important factors concerning the management of hemophilia in France are considered.The supply of factors VIII and IX for replacement therapy meets the current demand but as the demand increases with the development of self-infusion programs, the production will also have to increase. This can only be done through more effective use of all of the blood components and will require careful evaluation of the needs of each patient.Programs which teach self-infusion and the other aspects of home care are gradually allowing the hemophiliac and his family better understanding of the disease. These programs are developing slowly in France but must be expanded to improve the general care of all French hemophiliacs.

scholarly journals Manajemen Pengelolaan Buku di Micro-Library Sembulang, Batam, Kepulauan Riau

2020 ◽  
Vol 3 (1) ◽  
pp. 55
Author(s):  
Nurlaily Nurlaily ◽  
Mochamad Nuruz Zaman
Keyword(s):  
Rural Communities ◽  
The Other ◽  
Ordinary People ◽  
Large Collection ◽  
Village Community ◽  
Children’S Learning ◽  
Village People ◽  
The Village ◽  
Children's Learning

In the current era, many of our people do not know much about the importance of reading. Especially for ordinary people who have never read or written at all. Their insight may still be influenced by verbal, not written. This is both caused by there may be a lack of reading books and they don't have a large collection of books. The library in Sembulang village is in the form of a micro-library that can help the community to get to know writing and enjoy reading. The library is a special alternative for rural communities whose communities are still innocent or have not been intervened by city people. Later, the village community will be introduced to what is a micro-library, its functions, and so on. The other benefits of the micro-library in Sembulang are able to improve children's learning quality, introduce the importance of reading to the community, and increase the source of income for local villages. Of all these, it will first be explained to all local village people how to borrow or read in the library. The method used will be made socialization about the introduction of the library and its functions.

scholarly journals Technocentrism and Ecocentrism

2019 ◽  
Vol 1 (1) ◽  
pp. 13-23
Author(s):  
Doaa M Salman
Keyword(s):  
Sustainable Development ◽  
The Other ◽  
Emissions Reduction ◽  
Health It ◽  
Resource Exploitation ◽  
Environment And Health ◽  
Carbon Emissions Reduction ◽  
Natural Resource Exploitation ◽  
Development Approach ◽  
Better Than

“Prevention is better than cure” is a proverb commonly used to highlight how it is better to avoid a problem from the start rather than fixing the damage afterwards. When considering this concept to our approach to the environment, we encounter two schools of thought; Ecocentrism and Technocentrism. Ecocentrism places the ecosystem at the center and stress that we need to limit our natural resource exploitation, so that we can conserve the environment and prevent its destruction. Technocentrism, on the other hand, focuses on technology and science as a way to repair any damage done to the environment rather than changing ethical perspectives on environmental issues. This paper seeks to explore the two ideologies by comparing between Finland and Bhutan; two countries that seem to resemble the two approaches. Finland is considered one of the highly technologically advanced countries, in addition to its reputation for environmental protection. Bhutan is a Himalayan Kingdom that is known for its strong environment conservation and their intriguing approach to sustainable development. The paper compares between the two countries sustainable development approach, environment, and health. It was concluded that, in terms of the environment; Bhutan is doing much better than Finland. Finland’s carbon emissions reduction was mainly because they produce goods in other countries which increase the other countries emissions not Finland. Additionally, high consumption levels in Finland are a major threat to the environment. As for health, there is no extreme difference; however, Bhutan’s health care system is still improving. Yet, the two countries are facing serious issues regarding mental health. Ultimately, the ecocentric approach appears to be much better; especially, in this day and age as many downsides of technology keep unfolding.  

Efficient text feature extraction by integrating the average linkage and K-medoids clustering

2021 ◽  
pp. 2150151
Author(s):  
Dasong Sun
Keyword(s):  
Feature Extraction ◽  
Text Classification ◽  
Experimental Results ◽  
The Other ◽  
Central Feature ◽  
Number Of Clusters ◽  
Average Linkage ◽  
Text Feature

By clustering feature words, we can not only simplify the dimension of feature subsets, but also eliminate the redundancy of the feature. However, for a feature set with very large dimensions, the traditional [Formula: see text]-medoids algorithm is difficult to accurately estimate the value of [Formula: see text]. Moreover, the clustering results of the average linkage (AL) algorithm cannot be divided again, and the AL algorithm cannot be directly used for text classification. In order to overcome the limitations of AL and [Formula: see text]-medoids, in this paper, we combine the two algorithms together so as to be mutually complementary to each other. In particular, in order to meet the purpose of text classification, we improve the AL algorithm and propose the [Formula: see text] testing statistics to obtain the approximate number of clusters. Finally, the central feature words are preserved, and the other feature words are deleted. The experimental results show that the new algorithm largely eliminates the redundancy of the feature. Compared with the traditional TF-IDF algorithms, the performance of the text classification of the new algorithm is improved.

The exceptional and the ordinary

2018 ◽  
pp. 73-106
Author(s):  
Thomas Docherty
Keyword(s):  
Higher Education ◽  
Social Norms ◽  
Everyday Life ◽  
The Other ◽  
Normative Belief ◽  
University Education ◽  
Ordinary People ◽  
Mass Higher Education ◽  
The People ◽  
The University

The contemporary institution fails to understand the real meaning of ‘mass higher education’. A mass higher education should address the concerns of those masses of ‘ordinary people’ who, for whatever reasons, do not attend a university. Instead, the contemporary sector simply admits more individuals from lower social and economic classes. Behind this is a deep suspicion of the intellectual whose knowledge marks them out as intrinsically elitist and not ‘of the people’. An intellectual concerned about everyday life is now seen as suspicious, given the normative belief that a university education is about individual competitive self-advancement. This intellectual is now an enemy of ‘the people’, and incipiently one who might even be regarded as criminal in dissenting from conformity with social norms of neoliberalism. There is a history to this, dating from 1945; and it sets up a contest between two version of the university: one sees it as a centre of humane and liberal values, the other as the site for the production of individuals who conform to and individually benefit from neoliberal greed. The genuine exception is the intellectual who dissents; but dissent itself is now seen as potentially criminal.

Speech Enhancement Using Neuro-Fuzzy Classifier

2021 ◽  
pp. 164-181
Author(s):  
Judith Justin ◽  
Vanithamani R.
Keyword(s):  
Feature Extraction ◽  
Speech Enhancement ◽  
The Other ◽  
Objective Measures ◽  
Noise Levels ◽  
Fuzzy Classifier ◽  
Noisy Speech ◽  
Enhancement Technique ◽  
Time Frequency ◽  
Neuro Fuzzy

In this chapter, a speech enhancement technique is implemented using a neuro-fuzzy classifier. Noisy speech sentences from NOIZEUS and AURORA databases are taken for the study. Feature extraction is implemented through modifications in amplitude magnitude spectrograms. A four class neuro-fuzzy classifier splits the noisy speech samples into noise-only part, signal only part, more noise-less signal part, and more signal-less noise part of the time-frequency units. Appropriate weights are applied in the enhancement phase. The enhanced speech sentence is evaluated using objective measures. An analysis of the performance of the Neuro-Fuzzy 4 (NF 4) classifier is done. A comparison of the performance of the classifier with other conventional techniques is done for various noises at different noise levels. It is observed that the numerical values of the measures obtained are better when compared to the others. An overall comparison of the performance of the NF 4 classifier is done and it is inferred that NF4 outperforms the other techniques in speech enhancement.

Discriminant Criteria for Pattern Classification

2011 ◽  
pp. 30-57
Author(s):  
David Zhang ◽  
Fengxi Song ◽  
Yong Xu ◽  
Zhizhen Liang
Keyword(s):  
Feature Extraction ◽  
Pattern Classification ◽  
The Other ◽  
Linear Projection ◽  
Linear Discriminant ◽  
Large Margin ◽  
The Third ◽  
Fisher Discriminant ◽  
Squared Error ◽  
Fisher Discriminant Criterion

As mentioned in Chapter II, there are two kinds of LDA approaches: classification- oriented LDA and feature extraction-oriented LDA. In most chapters of this session of the book, we focus our attention on the feature extraction aspect of LDA for SSS problems. On the other hand,, with this chapter we present our studies on the pattern classification aspect of LDA for SSS problems. In this chapter, we present three novel classification-oriented linear discriminant criteria. The first one is large margin linear projection (LMLP) which makes full use of the characteristic of the SSS problems. The second one is the minimum norm minimum squared-error criterion which is a modification of the minimum squared-error discriminant criterion. The third one is the maximum scatter difference which is a modification of the Fisher discriminant criterion.

scholarly journals Perchance to Dream: Pathology, Pharmacology, and Politics in a 24-Hour Economy

2018 ◽  
Vol 27 (2) ◽  
pp. 295-305
Author(s):  
IAIN BRASSINGTON
Keyword(s):  
Public Health ◽  
Social Justice ◽  
Public Health Problem ◽  
The Other ◽  
Share Price ◽  
Modern World ◽  
Health It ◽  
Long Term Effects ◽  
Lack Of Sleep

Abstract:The lack of sleep is a significant problem in the modern world. The structure of the economy means that 24 hour working is required from some of us, sometimes because we are expected to be able to respond to share-price fluctuations on the other side of the planet, sometimes because we are expected to serve kebabs to people leaving nightclubs, and sometimes because lives depend on it. The immediate effect is that we feel groggy; but there may be much more sinister long-term effects of persistent sleep deprivation and disruption, the evidence for which is significant, and worth taking seriously. If sleeplessness has a serious impact on health, it represents a notable public health problem. In this article, I sketch that problem, and look at how exploiting the pharmacopoeia (or a possible future pharmacopoeia) might allow us to tackle it. I also suggest that using drugs to mitigate or militate against sleeplessness is potentially morally and politically fraught, with implications for social justice. Hence, whatever reasons we have to use drugs to deal with the problems of sleeplessness, we ought to be careful.

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