Can Professional Football Players Adapt to Air Pollution? Evidence From China

2021 ◽  
pp. 152700252110497
Author(s):  
Yu Qin ◽  
Jing Wu ◽  
Rongjie Zhang
Keyword(s):  
Air Pollution ◽  
Research Question ◽  
Personal Attributes ◽  
Pollution Level ◽  
Football Players ◽  
Professional Football ◽  
Primary Research ◽  
Negative Effects ◽  
Home Advantage ◽  
The Impact

In this paper, we study the impact of air pollution on Chinese professional football players’ performance. Our primary research question is whether the negative effects of air pollution can be mitigated by adaptation, and which cohort of players can have higher adaptability. We find that a higher pollution level during the game, relative to the adapted pollution level in players’ home cities, has a negative and significant impact on the players’ efforts and accuracy. The impact of non-adapted air pollution can be greatly offset by the home advantage, but not by personal attributes such as the higher ability.

scholarly journals Scalable kernel-based SVM classification algorithm on imbalance air quality data for proficient healthcare

2021 ◽  
Author(s):  
Shwet Ketu ◽  
Pramod Kumar Mishra
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Class Imbalance ◽  
Imbalanced Data ◽  
Classification Algorithm ◽  
Quality Data ◽  
Pollution Level ◽  
Classification Problems ◽  
Chi Square ◽  
The Impact

AbstractIn the last decade, we have seen drastic changes in the air pollution level, which has become a critical environmental issue. It should be handled carefully towards making the solutions for proficient healthcare. Reducing the impact of air pollution on human health is possible only if the data is correctly classified. In numerous classification problems, we are facing the class imbalance issue. Learning from imbalanced data is always a challenging task for researchers, and from time to time, possible solutions have been developed by researchers. In this paper, we are focused on dealing with the imbalanced class distribution in a way that the classification algorithm will not compromise its performance. The proposed algorithm is based on the concept of the adjusting kernel scaling (AKS) method to deal with the multi-class imbalanced dataset. The kernel function's selection has been evaluated with the help of weighting criteria and the chi-square test. All the experimental evaluation has been performed on sensor-based Indian Central Pollution Control Board (CPCB) dataset. The proposed algorithm with the highest accuracy of 99.66% wins the race among all the classification algorithms i.e. Adaboost (59.72%), Multi-Layer Perceptron (95.71%), GaussianNB (80.87%), and SVM (96.92). The results of the proposed algorithm are also better than the existing literature methods. It is also clear from these results that our proposed algorithm is efficient for dealing with class imbalance problems along with enhanced performance. Thus, accurate classification of air quality through our proposed algorithm will be useful for improving the existing preventive policies and will also help in enhancing the capabilities of effective emergency response in the worst pollution situation.

scholarly journals The Impact of COVID-19 on NO2 and PM2.5 Levels and Their Associations with Human Mobility Patterns in Singapore

2021 ◽  
Author(s):  
Yangyang Li ◽  
Yihan Zhu ◽  
Jia Yu Karen Tan ◽  
Hoong Chen Teo ◽  
Andrea Law ◽  
...  
Keyword(s):  
Air Pollution ◽  
East Coast ◽  
Human Mobility ◽  
Regional Scale ◽  
Air Pollutant ◽  
Pollution Level ◽  
The South ◽  
High Association ◽  
Pollutant Level ◽  
The Impact

AbstractThe decline in NO2 and PM2.5 pollutant levels were observed during COVID-19 around the world, especially during lockdowns. Previous studies explained such observed decline with the decrease in human mobility, whilst overlooking the meteorological changes (e.g., rainfall, wind speed) that could mediate air pollution level simultaneously. This pitfall could potentially lead to over-or under-estimation of the effect of COVID-19 on air pollution. Consequently, this study aims to re-evaluate the impact of COVID-19 on NO2 and PM2.5 pollutant level in Singapore, by incorporating the effect of meteorological parameters in predicting NO2 and PM2.5 baseline in 2020 using machine learning methods. The results found that NO2 and PM2.5 declined by a maximum of 38% and 36%, respectively, during lockdown period. As two proxies for change in human mobility, taxi availability and carpark availability were found to increase and decrease by a maximum of 12.6% and 9.8%, respectively, in 2020 from 2019 during lockdown. To investigate how human mobility influenced air pollutant level, two correlation analyses were conducted: one between PM2.5 and carpark availability changes at regional scale and the other between NO2 and taxi availability changes at a spatial resolution of 0.01°. The NO2 variation was found to be more associated with the change in human mobility, with the correlation coefficients vary spatially across Singapore. A cluster of stronger correlations were found in the South and East Coast of Singapore. Contrarily, PM2.5 and carpark availability had a weak correlation, which could be due to the limit of regional analyses. Drawing to the wider context, the high association between human mobility and NO2 in the South and East Coast area can provide insights into future NO2 reduction policy in Singapore.Graphical Abstract

scholarly journals The Impact of Circadian Misalignment on Athletic Performance in Professional Football Players

SLEEP ◽  
2013 ◽  
Vol 36 (12) ◽  
pp. 1999-2001 ◽  
Author(s):  
Roger S. Smith ◽  
Bradley Efron ◽  
Cheri D. Mah ◽  
Atul Malhotra
Keyword(s):  
Athletic Performance ◽  
Football Players ◽  
Professional Football ◽  
Circadian Misalignment ◽  
The Impact

scholarly journals ‘Walking in the shoes of our patients’: a scoping review of healthcare professionals learning from the simulation of patient illness experiences

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Milda Karvelytė ◽  
Janet Rogers ◽  
Gerard J. Gormley
Keyword(s):  
Scoping Review ◽  
Positive Impact ◽  
Research Question ◽  
Healthcare Providers ◽  
Embodied Experience ◽  
Negative Effects ◽  
Diverse Range ◽  
Illness Experiences ◽  
The Usa ◽  
The Impact

Abstract Background Health professionals who have experienced ill-health appear to demonstrate greater empathy towards their patients. Simulation can afford learners opportunities to experience aspects of illness, but to date, there has been no overarching review of the extent of this practice or the impact on empathic skills. Objective To determine from the evidence—what is known about simulation-based learning methods of creating illness experiences for health professions and the impact on their empathic skills. Study selection Arksey and O’Malley’s methodological framework informed our scoping review of articles relevant to our research question. Three databases (MEDLINE, Embase and Web of Science) were searched, and a sample of 516 citations was screened. Following review and application of our exclusion criteria, 77 articles were selected to be included in this review. Findings Of the 77 articles, 52 (68%) originated from the USA, 37 (48%) of studies were qualitative based and 17 (22%) used a mixed-methods model. Of all the articles in our scope, the majority (87%) reported a positive impact and range of emotions evoked on learners. However, some studies observed more negative effects and additional debriefing was required post-simulation. Learners were noted to internalise perceived experiences of illness and to critically reflect on their empathic role as healthcare providers. Conclusions A diverse range of simulation methods and techniques, evoking an emotional and embodied experience, appear to have a positive impact on empathy and could be argued as offering a complementary approach in healthcare education; however, the long-term impact remains largely unknown.

scholarly journals Geoeconomics and entrepreneurship during the COVID-19 pandemic

2021 ◽  
Vol 55 (3) ◽  
pp. 930-952
Author(s):  
Marijana Maksimović ◽  
Neven Cvetićanin
Keyword(s):  
Labour Market ◽  
Economic Activity ◽  
Significant Contribution ◽  
Research Question ◽  
Scientific Research ◽  
Negative Effects ◽  
Social Dialogue ◽  
The World ◽  
The Impact

The aim of this research is to examine how the coronavirus, which has become a global process, has affected the labour market. The goal is to confirm or reject the hypothesis that there has been an increase in unemployment since the beginning of the pandemic. Also, the aim is to answer the research question whether social dialogue has managed to mitigate the negative effects of the coronavirus (COVID-19). Analytical and descriptive methods were used in this research. The scientific research presented in this paper makes a significant contribution to the study of the impact of the coronavirus on the regions, economic activity and unemployment. The paper presents data on the number of the (un)employed in the world before the beginning of the pandemic and after the end of the first and most critical year.

Environmental effects of fiscal expansion — application of the RBC model

2018 ◽  
Vol 63 (4) ◽  
pp. 5-14
Author(s):  
Piotr Krajewski ◽  
Piotr Krajewski ◽  
Michał Mackiewicz ◽  
Katarzyna Piłat
Keyword(s):  
Air Pollution ◽  
Fiscal Policy ◽  
Government Expenditure ◽  
Public Capital ◽  
Gdp Growth ◽  
Real Business Cycle ◽  
Negative Effects ◽  
Pollution Emission ◽  
Public Investments ◽  
The Impact

The aim of the article is to analyse the impact of expansionary fiscal policy, involving an overall increase in government expenditure, on the condition of the natural environment and, more specifically, on air pollution. The analysis is based on the Real Business Cycle (RBC) model. The results of the simulations indicate that expansionary fiscal policy, contributing to GDP growth, also results in deterioration of air quality. The analysis also shows that in the longer term, the main mechanism by which this policy affects the level of air pollution emission is the accumulation of public capital. Therefore, in order to minimise the negative effects of fiscal expansion on the environment, it is particularly important to invest in pro-ecological public investments.

Feminism and Advertising in Traditional and Nontraditional Women's Magazines 1950s-1980s

1993 ◽  
Vol 70 (2) ◽  
pp. 247-264 ◽  
Author(s):  
Linda J. Busby ◽  
Greg Leichty
Keyword(s):  
Research Question ◽  
Product Category ◽  
Women's Magazines ◽  
Feminist Movement ◽  
Primary Research ◽  
Secondary Research ◽  
The Third ◽  
Feminist Ideology ◽  
The Impact

In this study researchers content coded advertising images in traditional and nontraditional women's magazines in 1959, 1969, 1979 and 1989 to determine the impact of the feminist movement on consumer imagery. This timeframe allowed analysis from several historical vantages: 1959 (pre-feminist movement), 1969 (developing feminist ideology), 1979 (social implementation of ideology), 1989 (post feminist movement). The data were analyzed from the perspective of three major variables, the first being time (a specific decade); the second being magazine type (traditional or nontraditional women's magazines); and the third being product category. The study answers a primary research question: To what extent do ads in women's magazines (traditional and nontraditional) reflect the goals of the second feminist movement? A secondary research question is explored: Are advertising and the feminist movement incompatable, thus dooming “feminist publications” depending on ad dollars to demise?

scholarly journals Factors affecting the business environment of SMEs in Nitra region in Slovakia

2018 ◽  
Vol 9 (2) ◽  
pp. 309-331
Author(s):  
Enikő Korcsmáros ◽  
Monika Šimova
Keyword(s):  
Future Development ◽  
Regional Policy ◽  
Research Question ◽  
Value Added ◽  
Business Environment ◽  
Transport Cost ◽  
Primary Research ◽  
Economic Sectors ◽  
The Future ◽  
The Impact

Research background: Businesses are directly affected by the outside world, i.e. the business environment. Literature review lists a number of factors of the business environment affecting businesses. These factors may be oriented towards inputs, outputs, sales, or can be an instrument of regional policy. With regard to future development of businesses, it is crucial to identify which factor and to what extent can influence the operation of the business. Purpose of the article: The main objective of the primary research was to provide a comprehensive assessment of how different factors influence enterprises of different economic sectors as well as help to verify the research question defined and formulate recommendations for future development of enterprises. The questionnaire survey to verify the research question was conducted on a sample of 496 small and medium-sized enterprises. Methods: We chose quantitative method of ANOVA for processing the results of the survey, and we also set the limit of significant impact of different influence factors on the basis of analysed data of primary research, and the limit of significant impact. Based on literature study, we have grouped individual factors such as factors focused on inputs, on outputs, on sales, and instruments of regional policy. Based on those findings we can identify the impact of factors for the future development of SMEs in different economic sectors. Findings & Value added: SMEs of Nitra Region involved in the research represent different economic sectors and various factors influence them with different intensity, for future development of these SMEs it is necessary to reduce the transport cost of raw material and goods, improve the attitude of employees to work, and the technical level of equipment to improve the economic situation of the region. The mentioned findings are important for formulating the future regional development plan.

scholarly journals Environment Quality: Impact From Traffic, Power Plant and Land Morphology, a Case Study of Prishtina

2017 ◽  
Vol 19 (1) ◽  
pp. 65-74 ◽  
Author(s):  
Bujar Bajcinovci
Keyword(s):  
Air Pollution ◽  
Power Plants ◽  
Urban Air Pollution ◽  
Capital City ◽  
Health Concern ◽  
Pollution Level ◽  
Environmental Air ◽  
The Impact ◽  
The City ◽  
Environmental Air Pollution

Abstract Environmental air pollution is a global health concern, a complex phenomenon which is directly reflected on public health, economic and human development. Environmental air pollution has been drastically multiplied, followed by the beginning of the new Millennia in Prishtina, the capital city of the Kosovo. The new millennium began as a crucial activity for the city of Prishtina in terms of demographic, human geography, social and economic phenomena. The presented study aims to determine prevalent traffic and land morphology composition attributes, which have influenced and continue to have environmental impact in the city of Prishtina. According to the conceptual findings from the empirical observations, the heavy city traffic and the land morphology structure, determine the urban air pollution level. Prishtina is generally polluted due to its geomorphic position in relation to the power plants Kosovo A, and Kosova B. The impact of the above cited factors, is even bigger when the dominant winds prevail through valley, which encompasses the city. The findings from this paper propose the necessity of careful driven urban solutions.

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