scholarly journals Opposition in Japan to the Olympics during the COVID-19 pandemic

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Takumi Kato
Keyword(s):  
Large Scale ◽  
Online Survey ◽  
Economic Benefits ◽  
Disease Spread ◽  
City Governments ◽  
Factors Affecting ◽  
Logistic Regression Models ◽  
Explanatory Variables ◽  
Mega Events ◽  
Negative Effect

AbstractLittle is known about the responses of citizens toward sporting mega-events held during a period of extended disasters, such as the 2020 Olympics held during the COVID-19 pandemic. This study aims to clarify the factors affecting citizens’ attitudes by testing the following hypotheses: the perception of high cost, the burden on medical institutions, and high risk of infectious disease spread negatively affect attitudes, while the perception of pandemic countermeasures, economic benefits, and athletes positively affect attitudes. Based on an online survey of 800 citizens before the 2020 Olympics, the hypotheses were tested using logistic regression models with the extracted factors as the explanatory variables and the attitude toward the Olympics as the objective variable. The test results confirm the factors lineated by the hypotheses, except for the perception of high cost. The fear of a healthcare system collapse from the medical burden of dealing with an outbreak has an especially strong negative effect on the attitude toward the Olympics. These results have important implications for city governments and municipalities and suggest that they should not underestimate citizens’ perceptions and attitudes when organizing mega-events and formulating proper communication. Further, the results may offer insights for the smooth strategic planning of large-scale events during unprecedented disasters.

Analysis of Single-Vehicle Crash Injury Severities in Urban River-Crossing Road Tunnels

2015 ◽  
Vol 743 ◽  
pp. 526-532 ◽  
Author(s):  
C.M. Jiang ◽  
J.J. Lu ◽  
L.J. Lu
Keyword(s):  
Heavy Vehicles ◽  
Probit Regression ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Urban Road ◽  
Road Tunnels ◽  
Negative Effect ◽  
Single Vehicle ◽  
Injury Severities ◽  
One Year

Based on the originally unprocessed data from the Official Platform of“110”Alarming Receiving Center (OP110ARC) of Shanghai Public Security Bureau (SPSB), 529 single-vehicle crashes reported during one year and a half which happened at the thirteen urban road tunnels going across the Huangpu River are used in this study. To investigate the factors affecting the crash influence severity levels, ordered probit regression is established. Several categories of factors are considered as explanatory variables in the models. The study finds that the entrance of the tunnels is the site where severe injury crashes trend to occur. Rainy and snowy days impose vehicles and motorists driving via the tunnel sections in danger. Tunnels with a low speed limit (40 km/h in this study) may be not as safe as we thought before. Two-wheel vehicles without sufficient physical protection for its drivers and heavy vehicles also show a negative effect on the operation safety of single-vehicle at these studied tunnels. Alcohol involved drivers are more likely to suffer from a severe crashes and gets badly hurt.

scholarly journals Psychological Factors Affecting Risk Perception of COVID-19: Evidence from Peru and China

2021 ◽  
Vol 18 (12) ◽  
pp. 6513
Author(s):  
Fredy S. Monge-Rodríguez ◽  
He Jiang ◽  
Liwei Zhang ◽  
Andy Alvarado-Yepez ◽  
Anahí Cardona-Rivero ◽  
...  
Keyword(s):  
Risk Perception ◽  
Risk Communication ◽  
Online Survey ◽  
Factors Affecting ◽  
Self Confidence ◽  
Global Pandemic ◽  
Negative Effect ◽  
The Government ◽  
Using Data ◽  
Health Field

COVID-19 has spread around the world, causing a global pandemic, and to date is impacting in various ways in both developed and developing countries. We know that the spread of this virus is through people’s behavior despite the perceived risks. Risk perception plays an important role in decision-making to prevent infection. Using data from the online survey of participants in Peru and China (N = 1594), data were collected between 8 July 31 and August 2020. We found that levels of risk perception are relatively moderate, but higher in Peru compared to China. In both countries, anxiety, threat perception, self-confidence, and sex were found to be significant predictors of risk perception; however, trust in the information received by government and experts was significant only in Peru, whereas self-confidence had a significant negative effect only for China. Risk communication should be implemented through information programs aimed at reducing anxiety and improving self-confidence, taking into consideration gender differences. In addition, the information generated by the government should be based on empirical sources. Finally, the implications for effective risk communication and its impacts on the health field are discussed.

Restaurant management and food waste reduction: factors affecting attitudes and intentions in restaurants of Spain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Viachaslau Filimonau ◽  
Ayşen Coşkun ◽  
Belen Derqui ◽  
Jorge Matute
Keyword(s):  
Market Orientation ◽  
Food Waste ◽  
Structural Equation ◽  
Large Scale ◽  
Behavioural Intention ◽  
Content Type ◽  
Factors Affecting ◽  
Restaurant Management ◽  
Negative Effect ◽  
Neutralization Theory

Purpose Although the challenge of food waste (FW) in the foodservice sector is significant, restaurant managers do not always engage in its reduction. The psychological reasons for this disengagement remain insufficiently understood. This study aims to explore the antecedents of behavioural intention of restaurateurs (not) to reduce FW. The influence of three factors is tested, namely, market orientation; environmental apathy alongside selected neutralization techniques, namely, appeal to higher loyalties; denial of injury and denial of responsibility. Design/methodology/approach The study uses the method of a large-scale managerial survey (n = 292) administered in the commercial foodservice sector of Spain. The data are analysed via structural equation modelling with partial least squares. Findings The study finds that market orientation affects managerial intention to reduce FW but not their attitude, while environmental apathy influences managerial attitudes but not their behavioural intention. The study confirms the negative effect of such neutralizers as the appeal to higher loyalties and the denial of injury on suppressing managerial intention to reduce FW. Contrary to initial anticipations, another established neutralizer, the denial of responsibility, exerts no significant effect. Practical implications The study elaborates on the interventions necessitated to neutralize the effect of the neutralizers on managerial (un)willingness to reduce FW in the commercial foodservice sector. Originality/value This is the first known attempt to understand the drivers of managerial engagement in FW reduction in the commercial foodservice sector through the prism of environmental apathy, market orientation and neutralization theory.

scholarly journals The Determinants of Sustainable Land Management Adoption under Risks in Upland Area of Vietnam

2019 ◽  
Author(s):  
Ho Ngoc Cuong ◽  
Nguyen Van Song ◽  
Vu Ngoc Huyen ◽  
Roberto F. Ranola Jr.
Keyword(s):  
Relative Risk ◽  
Risk Aversion ◽  
Large Scale ◽  
Probit Model ◽  
Farm Size ◽  
Relative Risk Aversion ◽  
Sustainable Land Management ◽  
Factors Affecting ◽  
Negative Effect ◽  
Depth Interviews

This study investigates how the determinants including risk preference affect farmers’ decision to adopt SLM practices in upland areas of Vietnam. Empirical data collected through in-depth interviews with 200 farmers in Na Ri district, Bac Kan province were used. The factors affecting SLM adoption of farmers in Na Ri district were examined by the 2SLS or IV-Probit model. The estimated 2SLS regression indicated that there is a set of factors affecting SLM adoption, namely, relative risk aversion, farming experience, farm size, knowledge of SLM, membership in farmers’ organization, number of labors, and slope of farm land. Specifically, relative risk aversion had a negative effect on SLM practices adoption. The farmers who are less risk averse are more likely to adopt more SLM practices. This implies that reducing farmer’ risk exposure could promote SLM practices. This result is also helpful for policymakers to understand farmers’ behaviors and promote the diffusion of SLM practices across regions on a large scale.

scholarly journals Evaluation of Factors Affecting Colostrum Quality and Quantity in Holstein Dairy Cattle

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 2005
Author(s):  
Aikaterini Soufleri ◽  
Georgios Banos ◽  
Nikolaos Panousis ◽  
Dimitrios Fletouris ◽  
Georgios Arsenos ◽  
...  
Keyword(s):  
Large Scale ◽  
Linear Models ◽  
Fat Content ◽  
Time Interval ◽  
Factors Affecting ◽  
Significant Negative Effect ◽  
Energy Needs ◽  
Negative Effect ◽  
The Mean ◽  
Positive Effect

The objective of this study was to conduct a large-scale investigation of colostrum composition and yield and an evaluation of factors affecting them. In this study, 1017 clinically healthy Holstein cows from 10 farms were used. The colostrum TS were measured using a digital Brix refractometer. Fat, protein and lactose content were determined using an infrared Milk Analyzer. Statistical analysis was conducted using a series of univariate general linear models. The mean (±SD) percentage of colostrum fat, protein, lactose and TS content were 6.37 (3.33), 17.83 (3.97), 2.15 (0.73) and 25.80 (4.68), respectively. Parity had a significant positive effect on the protein and TS content and a negative one on fat content. The time interval between calving and colostrum collection had a significant negative effect on the fat, protein and TS contents and a positive one on lactose. Colostrum yield had a significant negative effect on the protein and TS content, and it was affected by all factors considered. In addition to TS, the evaluation of the colostrum fat content appears essential when neonates’ energy needs are considered. The Brix refractometer, an inexpensive and easy to use devise, can be used effectively in colostrum quality monitoring.

scholarly journals Identifying the Factors That Increase the Probability of an Injury or Fatal Traffic Crash in an Urban Context in Jordan

2020 ◽  
Vol 12 (18) ◽  
pp. 7464
Author(s):  
Tasneem Miqdady ◽  
Juan de Oña
Keyword(s):  
Traffic Safety ◽  
Large Scale ◽  
Binary Logistic Regression ◽  
Urban Context ◽  
Traffic Crash ◽  
Logistic Regression Models ◽  
Explanatory Variables ◽  
Urban Road ◽  
Governmental Agencies ◽  
Significant Factors

The lack of robust studies carried out on urban roads in developing countries makes it difficult to enhance traffic safety, ensuring sustainable roads and cities. This study analyzes the contribution of a number of explanatory variables behind crashes involving injuries on arterial roads in Irbid (Jordan). Five binary logistic regression models were calibrated for a crash dataset from 2014–2018: one for the full database, and the others for the four main crash causes identified by Jordanian Traffic Police reports. The models show that whatever the crash cause, the three most significant factors linked to an injury or fatality lie in urban road sections that are in large-scale neighborhood areas, have fewer than six accesses per kilometer, and have a low traffic volume (under 500 veh/h/ln). Some of these results agree with previous studies in other countries. Jordan’s governmental agencies concerned with urban road safety might use these results to develop appropriate plans and implement priority actions for each crash cause, in addition to undertaking further research for comparative purposes.

Screening for the FV: Q506 Mutation – Evaluation of Thirteen Plasma-based Methods for their Diagnostic Efficacy in Comparison with DNA Analysis

1997 ◽  
Vol 77 (03) ◽  
pp. 436-439 ◽  
Author(s):  
Armando Tripodi ◽  
Barbara Negri ◽  
Rogier M Bertina ◽  
Pier Mannuccio Mannucci
Keyword(s):  
Venous Thrombosis ◽  
Large Scale ◽  
Dna Analysis ◽  
Genetic Defect ◽  
Laboratory Diagnosis ◽  
Economic Benefits ◽  
Factor V ◽  
Factor X ◽  
Diagnostic Efficacy ◽  
Dna Test

SummaryThe factor V (FV) mutation Q506 that causes resistance to activated protein C (APC) is the genetic defect associated most frequently with venous thrombosis. The laboratory diagnosis can be made by DNA analysis or by clotting tests that measure the degree of prolongation of plasma clotting time upon addition of APC. Home-made and commercial methods are available but no comparative evaluation of their diagnostic efficacy has so far been reported. Eighty frozen coded plasma samples from carriers and non-carriers of the FV: Q506 mutation, diagnosed by DNA analysis, were sent to 8 experienced laboratories that were asked to analyze these samples in blind with their own APC resistance tests. The APTT methods were highly variable in their capacity to discriminate between carriers and non-carriers but this capacity increased dramatically when samples were diluted with FV-deficient plasma before analysis, bringing the sensitivity and specificity of these tests to 100%. The best discrimination was obtained with methods in which fibrin formation is triggered by the addition of activated factor X or Russell viper venom. In conclusion, this study provides evidence that some coagulation tests are able to distinguish carriers of the FV: Q506 mutation from non-carriers as well as the DNA test. They are inexpensive and easy to perform. Their use in large-scale clinical trials should be of help to determine the medical and economic benefits of screening healthy individuals for the mutation before they are exposed to such risk factors for venous thrombosis as surgery, pregnancy and oral contraceptives.

Economic benefit of shale gas exploitation based on back propagation neural network

2020 ◽  
Vol 39 (6) ◽  
pp. 8823-8830
Author(s):  
Jiafeng Li ◽  
Hui Hu ◽  
Xiang Li ◽  
Qian Jin ◽  
Tianhao Huang
Keyword(s):  
Neural Network ◽  
Shale Gas ◽  
Bp Neural Network ◽  
Large Scale ◽  
Linear Prediction ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Economic Benefits ◽  
Gas Well ◽  
Well Production

Under the influence of COVID-19, the economic benefits of shale gas development are greatly affected. With the large-scale development and utilization of shale gas in China, it is increasingly important to assess the economic impact of shale gas development. Therefore, this paper proposes a method for predicting the production of shale gas reservoirs, and uses back propagation (BP) neural network to nonlinearly fit reservoir reconstruction data to obtain shale gas well production forecasting models. Experiments show that compared with the traditional BP neural network, the proposed method can effectively improve the accuracy and stability of the prediction. There is a nonlinear correlation between reservoir reconstruction data and gas well production, which does not apply to traditional linear prediction methods

Low Back Pain in Commercial Airline Pilots

2020 ◽  
Vol 91 (12) ◽  
pp. 940-947
Author(s):  
Matthias Albermann ◽  
Maria Lehmann ◽  
Christian Eiche ◽  
Joachim Schmidt ◽  
Johannes Prottengeier
Keyword(s):  
Risk Factors ◽  
Low Back Pain ◽  
Back Pain ◽  
Online Survey ◽  
German Population ◽  
Low Back ◽  
Airline Pilots ◽  
Acute Low Back Pain ◽  
Commercial Airline ◽  
Negative Effect

BACKGROUND: In their working life, airline pilots are exposed to particular risk factors that promote nonspecific low back pain (LBP). Because of the varying incidence internationally, we evaluated the point prevalences of acute, subacute, and chronic nonspecific LBP, as well as the current prevalences in German airline pilots. Furthermore, we compared the prevalence to the general German population and to European counterparts.METHODS: An anonymous online survey of 698 participating German airline pilots was evaluated. The impairment between groups was analyzed. Prevalences from our data were compared to existing data.RESULTS: The following point prevalences were found: 8.2% acute, 2.4% subacute, 82.7% chronic LBP; 74.1% of all individuals were suffering from current LBP when answered the questionnaire. A total time spent flying greater than 600 h within the last 12 mo was significantly related to acute nonspecific LBP. Individuals with any type of LBP were significantly impaired compared to those unaffected. It was found that German airline pilots suffer more often from current LBP than the general population and have a higher point prevalence of total LBP than their European counterparts.CONCLUSIONS: The evaluation showed a surprisingly high, previously unidentified, prevalence of nonspecific LBP in German airline pilots. Why German airline pilots suffer more often from LBP remains uncertain. The number of flying hours appears to have a negative effect on developing acute low back pain, but causation cannot be concluded. Other risk factors could not be confirmed.Albermann M, Lehmann M, Eiche C, Schmidt J, Prottengeier J. Low back pain in commercial airline pilots. Aerosp Med Hum Perform. 2020; 91(12):940947.

Understanding Economic and Health Factors Impacting the Spread of COVID-19 Disease (Preprint)

2020 ◽  
Author(s):  
Aleksandr Farseev ◽  
Yu-Yi Chu-Farseeva ◽  
Yang Qi ◽  
Daron Benjamin Loo
Keyword(s):  
Public Health ◽  
Quantitative Research ◽  
Health Indicators ◽  
Initial Study ◽  
Disease Spread ◽  
Factors Affecting ◽  
Country Level ◽  
Development Scenarios ◽  
Health Factors ◽  
Country Clusters

UNSTRUCTURED The rapid spread of the Coronavirus 2019 disease (COVID-19) had drastically impacted life all over the world. While some economies are actively recovering from this pestilence, others are experiencing fast and consistent disease spread, compelling governments to impose social distancing measures that have put a halt on routines, especially in densely-populated areas. Aiming at bringing more light on key economic and public health factors affecting the disease spread, this initial study utilizes a quantitative statistical analysis based on the most recent publicly-available COVID-19 datasets. The study had shown and explained multiple significant relationships between the COVID-19 data and other country-level statistics. We have also identified and statistically profiled four major country-level clusters with relation to different aspects of COVID-19 development and country-level economic and health indicators. Specifically, this study has identified potential COVID-19 under-reporting traits as well as various economic factors that impact COVID-19 Diagnosis, Reporting, and Treatment. Based on the country clusters, we have also described the four disease development scenarios, which are tightly knit to country-level economic and public health factors. Finally, we have highlighted the potential limitation of reporting and measuring COVID-19 and provided recommendations on further in-depth quantitative research.

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