The impact of generation on the risk of road accidents

2019 ◽  
Vol 64 (2) ◽  
pp. 64-82
Author(s):  
Beata Jackowska ◽  
Ewa Wycinka
Keyword(s):  
Age Groups ◽  
Analysis Data ◽  
Road Accident ◽  
Research Centre ◽  
Road Accidents ◽  
Age And Gender ◽  
The Road ◽  
And Gender ◽  
Gender Groups ◽  
The Impact

The paper deals with the widespread perception, popular since 2017, that millennials are the worst drivers. In motor insurance, it is commonly known that age and gender are significant determinants of accidents’ risk. Nowadays, millennials are the youngest drivers. Thus, the question arises whether, apart from the age, generation isa risk factor. The aim of this paper is to verify whether generation influences the level of the road accidents rate in Poland besides age and gender of drivers. Due to the downward trend of this rate, the relative risk of road accidents was analysed among licensed drivers in Poland in the years 2006—2017. For the analysis data of the Polish National Police, Polish Road Safety Observatory, Statistics Poland, Social Diagnosis as well as Public Opinion Research Centre were used. The percentage of licensed drivers was estimated for age and gender groups as well as the percentage of millennials in these groups, according to the generation theory. The results of the empirical study for age groups of both perpetrators of the accidents and drivers involved in accidents do not confirm the hypothesis about the impact of the generation on the risk of a road accident.

scholarly journals Exploring Impact of Age and Gender on Sentiment Analysis Using Machine Learning

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 374 ◽  
Author(s):  
Sudhanshu Kumar ◽  
Monika Gahalawat ◽  
Partha Pratim Roy ◽  
Debi Prosad Dogra ◽  
Byung-Gyu Kim
Keyword(s):  
Machine Learning ◽  
Sentiment Analysis ◽  
Short Term Memory ◽  
Age Groups ◽  
Modern World ◽  
Support Vector ◽  
Digital Information ◽  
Age And Gender ◽  
And Gender ◽  
The Impact

Sentiment analysis is a rapidly growing field of research due to the explosive growth in digital information. In the modern world of artificial intelligence, sentiment analysis is one of the essential tools to extract emotion information from massive data. Sentiment analysis is applied to a variety of user data from customer reviews to social network posts. To the best of our knowledge, there is less work on sentiment analysis based on the categorization of users by demographics. Demographics play an important role in deciding the marketing strategies for different products. In this study, we explore the impact of age and gender in sentiment analysis, as this can help e-commerce retailers to market their products based on specific demographics. The dataset is created by collecting reviews on books from Facebook users by asking them to answer a questionnaire containing questions about their preferences in books, along with their age groups and gender information. Next, the paper analyzes the segmented data for sentiments based on each age group and gender. Finally, sentiment analysis is done using different Machine Learning (ML) approaches including maximum entropy, support vector machine, convolutional neural network, and long short term memory to study the impact of age and gender on user reviews. Experiments have been conducted to identify new insights into the effect of age and gender for sentiment analysis.

scholarly journals Impact of Quality on Customers’ Buying Behaviour towards Point of Purchase Display with reference to Haryana

2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Sukhija Sunita ◽  
Sukhija Sunita
Keyword(s):  
Age Groups ◽  
Retail Industry ◽  
The Social ◽  
Point Of Purchase ◽  
Retail Outlets ◽  
And Gender ◽  
Buying Behaviour ◽  
Gender Groups ◽  
The Impact ◽  
One Way Anova

The present paper focuses on the impact of quality on customers’ buying behaviour towards point-of-purchase display at various retail outlets in Haryana. Point-of-Purchase Display plays an important role to increase the sale of the retailers. Today customers are rational and prefer quality products at reasonable price. Moreover, due to the emergence of the supermarkets as the dominant retail, the retail industry is experiencing vibrant changes all over the world. Retail industry in India has grown to be more complex and dynamic with an increase rate of speed from unorganized towards being organized. In this research paper data has been collected from 100 respondents and analysed with the help of Statistical Package for the Social Sciences (SPSS) using one way ANOVA and t-test with demographic factors i.e. age-wise, gender-wise, occupation-wise and income-wise. . After analysing the data it was found that, there is neutral relationship in the opinion of different age groups and gender groups over the point-of-purchase display on quality. On the other hand Occupation and income does not have any importance on customers view point regarding ‘quality’. To conclude we can say that point-of-purchase display is not directly related to the quality.

Attachment points, team identification and sponsorship outcomes: evidence from the Indian Premier League

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Giridhar B. Kamath ◽  
Shirshendu Ganguli ◽  
Simon George
Keyword(s):  
Structural Equation ◽  
Group Analysis ◽  
Age Groups ◽  
Team Identification ◽  
Age And Gender ◽  
Content Type ◽  
Behavioural Intentions ◽  
Premier League ◽  
And Gender ◽  
The Impact

PurposeThis paper tests and validates a conceptual model linking the attachment points, team identification, attitude towards the team sponsors and the behavioural intentions in the context of Indian Premier League (IPL), while testing for the moderating effects of age and gender.Design/methodology/approachData were collected from 1,053 participants through both online and offline survey and then analyzed using exploratory factor analysis (EFA) and structural equation modelling (SEM).FindingsAttachment points influence the formation of team identification, which, in turn, affect the attitude towards the team sponsors. Attitude towards the team sponsors influence the behavioural intentions. Player attachment influences team identification the most. Age and gender have a moderating effect on the constructs of the study. Team identification in females is stronger because of attachment to sports, whereas males have stronger team identification based on player attachment. Males have a stronger intention to spread positive word of mouth (WOM) about sponsor products as compared to the female respondents. The younger age group of less than 21 years has more intention to spread positive WOM compared to the other age groups considered in the study.Practical implicationsThis study contributes towards sports sponsorship research and the paradigms of social identity and attachment theories. Moreover, it will also help the marketers (sponsors) in IPL to strategically market their brands.Originality/valueThis is the first study to investigate the impact of attachment points on sponsorship outcomes in the context of IPL. Further, it is also the first to investigate the purchase intentions and WOM for the team sponsors in IPL. The multi-group analysis results will provide insights into marketers to better understand IPL viewers' segments and their behaviour.

scholarly journals Shooting Parameters of Biathletes in Various Age Groups in 2011–2012 World Championships

2018 ◽  
Vol 3 (86) ◽  
Author(s):  
Lina Kreivėnaitė
Keyword(s):  
Age Groups ◽  
Age Group ◽  
Adult Group ◽  
Age And Gender ◽  
Youth Group ◽  
Male And Female ◽  
Youth Groups ◽  
Gender Research ◽  
And Gender ◽  
Gender Groups

Research background and hypothesis. Physical fitness problems in biathlon are quite extensively discussed, but biathlon shooting in Lithuania is not analyzed enough. The special literature lacks information about the shooting parameters that leaders demonstrate in the world biathlon championships. Moreover, shooting parameters in different age and gender groups have not been analyzed enough. The hypothesis that shooting parameters in adult, youth and junior age group biathletes would differ was tested. Research aim. The aim of our study was to analyze shooting parameters of biathletes in various age groups in 2011–2012 world championships and reveal fundamental differences in the aspects of age and gender. Research methods. Research participants were youths (age: 17–18 years), juniors (age: 19–20 years) and adults (age: 21–41 years), male and female biathletes. The number of subjects was 2175. Descriptive statistical methods were used for data analysis.Research results. Data analysis revealed the main differences in shooting parameters between adult, junior and youth groups, male and female biathletes. Also, comparison of shooting parameters between biathletes in various age groups and leaders in the same group was carried out. Discussion and conclusions. Our research revealed that the highest shooting accuracy was observed in adult male and female biathlete groups (p < 0.025). The shooting accuracy of junior and youth female biathletes was higher than that in the junior and youth male groups (p < 0.05). The longest average shooting time was in youth group (p < 0.001). The shooting time of biathletes in adult group was the shortest. We found that male biathletes in various age groups performed shots in less time compared to female biathletes (p < 0.05). Research results revealed that shooting parameters among leaders statistically significantly differed comparing them with the average shooting parameters in the group (p < 0.05).Keywords: biathlon, shooting accuracy, shooting time.

scholarly journals Distinctive trajectories of COVID-19 epidemic by age and gender: a retrospective modeling of the epidemic in South Korea

2020 ◽  
Author(s):  
Xinhua Yu ◽  
Jiasong Duan ◽  
Yu Jiang ◽  
Hongmei Zhang
Keyword(s):  
South Korea ◽  
Elderly People ◽  
Negative Binomial ◽  
Generalized Additive Models ◽  
Age Groups ◽  
Additive Models ◽  
Age And Gender ◽  
Epidemic Dynamics ◽  
And Gender ◽  
Gender Groups

AbstractObjectivesElderly people had suffered disproportional burden of COVID-19. We hypothesized that males and females in different age groups might have different epidemic trajectories.MethodsUsing publicly available data from South Korea, daily new COVID-19 cases were fitted with generalized additive models, assuming Poisson and negative binomial distributions. Epidemic dynamics by age and gender groups were explored with interactions between smoothed time terms and age and gender.ResultsA negative binomial distribution fitted the daily case counts best. Interaction between the dynamic patterns of daily new cases and age groups was statistically significant (p<0.001), but not with gender group. People aged 20-39 years led the epidemic processes in the society with two peaks: one major peak around March 1 and a smaller peak around April 7, 2020. The epidemic process among people aged 60 or above was trailing behind that of younger people with smaller magnitude. After March 15, there was a consistent decline of daily new cases among elderly people, despite large fluctuations of case counts among young adults.ConclusionsAlthough young people drove the COVID-19 epidemic in the whole society with multiple rebounds, elderly people could still be protected from virus infection after the peak of epidemic.

The Swedish Version of the Temperament and Character Inventory (TCI)

2008 ◽  
Vol 24 (1) ◽  
pp. 14-21 ◽  
Author(s):  
Sven Brändström ◽  
Sören Sigvardsson ◽  
Per-Olof Nylander ◽  
Jörg Richter
Keyword(s):  
Personality Assessment ◽  
Age Groups ◽  
Temperament And Character Inventory ◽  
Swedish Version ◽  
Age And Gender ◽  
Younger Age ◽  
Character Inventory ◽  
And Gender ◽  
Independent Effects ◽  
The Impact

Abstract. In order to establish new norms of the Swedish version of the Temperament and Character Inventory (TCI), data from 2,209 Swedish individuals (age between 13 and 80) was analyzed. The second aim was to evaluate the impact of age and gender on the questionnaire scores. The third aim was to investigate whether the TCI can be meaningfully applied to adolescents in personality assessment as a basis for further research and clinical studies. Age and gender showed independent effects on personality dimensions, which implies that age and gender specific norms have to be established for the TCI. Furthermore, the results in terms of inconsistencies in the correlational and factorial structure, as well as low internal consistency scores in the younger age groups, suggest that the adult version of the TCI should not be applied below the age of 17; for these age groups we recommend the use of the junior TCI (JTCI). The inventory is under further development and several items are in need of revision in order to create less complicated formulations, enabling an improvement in the psychometrics.

scholarly journals Age and Gender Impact on Password Hygiene

2022 ◽  
Vol 12 (2) ◽  
pp. 894
Author(s):  
Aušrius Juozapavičius ◽  
Agnė Brilingaitė ◽  
Linas Bukauskas ◽  
Ricardo Gregorio Lugo
Keyword(s):  
Age Groups ◽  
Age And Gender ◽  
User Groups ◽  
Measured Effect ◽  
Active Research ◽  
And Gender ◽  
The Impact ◽  
Password Strength ◽  
Security Incidents ◽  
Simple Sequence

Password hygiene plays an essential part in securing systems protected with single-factor authentication. A significant fraction of security incidents happen due to weak or reused passwords. The reasons behind differences in security vulnerable behaviour between various user groups remains an active research topic. The paper aims to identify the impact of age and gender on password strength using a large password dataset. We recovered previously hashed passwords of 102,120 users from a leaked customer database of a car-sharing company. Although the measured effect size was small, males significantly had stronger passwords than females for all age groups. Males aged 26–45 were also significantly different from all other groups, and password complexity decreased with age for both genders equally. Overall, very weak password hygiene was observed, 72% of users based their password on a word or used a simple sequence of digits, and passwords of over 39% of users were found in word lists of previous leaks.

scholarly journals Consumption of Thyroid Medications as an Indicator of Increase of Thyroid Morbidity in Latvia from 2011 to 2014

2019 ◽  
Vol 73 (4) ◽  
pp. 407-410
Author(s):  
Ieva Kalere ◽  
Ieva Strēle ◽  
Mārtiņš Miglinieks ◽  
Ilze Repša ◽  
Santa Pildava ◽  
...  
Keyword(s):  
Age Groups ◽  
Thyroid Function Tests ◽  
Age Group ◽  
National Guidelines ◽  
Age And Gender ◽  
Main Indicator ◽  
Number Of Patients ◽  
And Gender ◽  
Gender Groups ◽  
Care Costs

Abstract The most common autoimmune disorders with clinically opposite manifestations are hypothyroidism in Hashimoto’s thyroiditis and hyperthyroidism in Graves’ disease. The healthcare burden of thyroid disease is substantial, resulting in substantial health care costs. The aim of the present analysis is to assess the use of thyroid medications in Latvia from 2011 to 2014 by age and gender. Our study used reimbursed medication prescriptions data, collected by the National Health Service of Latvia. The main indicator was the number of prevalent users of thyroid medications each year from 2011 to 2014, stratified by age and gender. From 2011 to 2014, the number of thyroxine users per 100 000 revealed a statistically significant increase in all age and gender groups, except in 0- to 9-year-old girls. The number of Thiamazole users among men increased in the age group from 40 to 89 years and in women age groups above 49 years. Increasing sales of both thyroid hormones and antithyroid medications are also observed in Estonia and Lithuania, indicating that growing thyroid morbidity is an issue in the whole region. The substantial increase in number of patients highlights the necessity for national guidelines on the use of thyroid function tests and standards of medical care.

scholarly journals Modelling road traffic safety indices by means of regression with panel data

2020 ◽  
Vol 12 (4) ◽  
pp. 40-51
Author(s):  
Katarzyna Brzozowska-Rup ◽  
Marzena Nowakowska
Keyword(s):  
Panel Data ◽  
Traffic Safety ◽  
Road Traffic ◽  
Government Expenditure ◽  
Road Accident ◽  
Road Accidents ◽  
The Road ◽  
Road Traffic Safety ◽  
Safety Indices ◽  
The Impact

Abstract Although the occurrence of road accidents and the number of road accident casualties in almost all Polish voivodeships has decreased over the last few years, the rate of this change varies considerably from region to region. To provide a better understanding of such a tendency, panel data regression models are proposed to conduct this pilot research which evaluates the relative performance of Polish regions in terms of their road traffic safety. Panel data are multi-dimensional data which involve measurements over time. In the research, a voivodeship is a unit analysed at a group level, whereas a year is a unit analysed at a time level. A two-way error component regression model has been applied to survey the impact of regressors, the group effects, and time effects on a dependent variable. The analysis has been conducted using data acquired from the Statistics Poland Local Data Bank website, as well as from the General Directorate for National Roads and Motorways. The panel data from 16 regions in Poland and the 2012–2018 period have been investigated. The examined models refer to road traffic safety indices defined based on the following characteristics: the number of road accidents, the number road fatalities, and the number of people injured. The results of all the three models indicate a negative effect as regards the GDP per capita, (car) motorisation rate, the indicator of government expenditure for current maintenance of national roads, and the road length per capita. A positive association has been found between the truck motorisation rate and the indicator of local government expenditure on roads. The impact of the region's urbanisation indicators on road safety is ambiguous as, on the one hand, its increase causes a reduction in the road accident and accident injury indices, but, on the other hand, it produces a rise in the accident fatality index. In the models, the significance of time effects has been identified; a decreasing time trend suggests a general improvement in road safety from year to year. Most of the group effects have turned out to be highly significant. However, the effects differ as regards both the road accident and the accident injury indices in magnitude and direction.

scholarly journals Responses to Maximal Strength Training in Different Age and Gender Groups

2021 ◽  
Vol 12 ◽  
Author(s):  
Hans Torvild Kittilsen ◽  
Sannija Goleva-Fjellet ◽  
Baard Ingegerdsson Freberg ◽  
Iver Nicolaisen ◽  
Eva Maria Støa ◽  
...  
Keyword(s):  
Strength Training ◽  
Age Groups ◽  
Good Health ◽  
Maximal Strength ◽  
Age And Gender ◽  
Leg Press ◽  
Potential Impact ◽  
And Performance ◽  
And Gender ◽  
Gender Groups

PurposeThe present study aimed to investigate the potential impact of age, gender, baseline strength, and selected candidate polymorphisms on maximal strength training (MST) adaptations.MethodsA total of 49 subjects (22 men and 27 women) aged 20–76 years, divided into five age groups, completed an 8 weeks MST intervention. Each MST session consisted of 4 sets with 4 repetitions at ∼85–90% of one-repetition maximum (1RM) intensity in leg-press, three times per week. 1RM was tested pre and post the intervention and blood samples were drawn to genotype candidate polymorphisms ACE I/D (rs1799752), ACTN3 R577X (rs1815739), and PPARGC1A Gly482Ser (rs8192678).ResultsAll age groups increased leg-press 1RM (p &lt; 0.01), with a mean improvement of 24.2 ± 14.0%. There were no differences in improvements between the five age groups or between male and female participants, and there were no non-responders. Baseline strength status did not correlate with 1RM improvements. PPARGC1A rs8192678 T allele carriers had a 15% higher age- and gender corrected baseline 1RM than the CC genotype (p &lt; 0.05). C allele carriers improved 1RM (%) by 34.2% more than homozygotes for the T allele (p &lt; 0.05).ConclusionTo the best of our knowledge, this is the first study to report improvement in leg-press maximal strength regardless of gender, baseline strength status in all age groups. The present study is also first to demonstrate an association between the PPARGC1A rs8192678 and maximal strength and its trainability in a moderately trained cohort. MST may be beneficial for good health and performance of all healthy individuals.

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