scholarly journals Nuancing Holistic Simplicity in Sweden: A Statistical Exploration of Consumption, Age and Gender

2021 ◽  
Vol 13 (15) ◽  
pp. 8340
Author(s):  
Marco Eimermann ◽  
Urban Lindgren ◽  
Linda Lundmark
Keyword(s):  
Register Data ◽  
Voluntary Simplicity ◽  
Age And Gender ◽  
Demographic Groups ◽  
Gender And Age ◽  
And Gender ◽  
Definition Of ◽  
Partially Observable ◽  
Ways Of Life ◽  
Made In

Studies of sustainable ways of life have hitherto made limited use of register data since, e.g., voluntary simplicity is usually identified through characteristics that cannot be found in data registers. Despite this, claims about these trends have been made in many countries, at times generalising the phenomena both in academia and media, based on anecdotal examples. This article draws on a quantifiable definition of holistic simplicity (Etzioni 1998) that includes certain fully measurable aspects, such as living in more affluent suburbs, moving to less affluent places and a significant reduction in individual work income. Other aspects are partially observable in register data, such as housing and car consumption. The advantage of this study is that it combines relevant theories around voluntary simplicity with register data that capture important characteristics of the entire national population (in this case, in Sweden) and thus, to some extent, also captures the magnitude of the phenomena. The article aims to statistically explore different demographic groups’ probability of becoming holistic simplifiers in Sweden, regarding their consumption, gender and age. It discusses opportunities and limitations for advancing our knowledge on voluntary simplicity in Sweden, with current findings suggesting more of the same consumption patterns and only initial paths to degrowth. This is discussed in the context of individuals’ agency in a state such as Sweden, which is changing from collectivist social democratic values to more neo-liberal conditions.

Age and gender features of clinical course COVID-19

2021 ◽  
Vol 2021 (2) ◽  
pp. 4-9
Author(s):  
OM Kovalyova ◽  
Keyword(s):  
Clinical Signs ◽  
Scientific Data ◽  
Age And Gender ◽  
Gender And Age ◽  
Different Populations ◽  
And Gender ◽  
Definition Of ◽  
The Impact ◽  
The Relationship ◽  
Gender Features

The article presents the review of modern publications devoted the assessment the impact of age and gender on susceptibility, clinical manifestation and outcome of COVID-19 infection. Statistical data on rate of COVID-19 in relation to age categories and adverse clinical signs of disease in different populations are shown. Old and older ages are the predictors of severe coronavirus course and mortality are emphasized. Gender features of coronavirus infection have been described according to gender cardiology with taken in account the disproportion of hypertension and coronary heart disease in male and female. Due to the scientific research the gender and age peculiarities of immune response to virus infection is considered. The definition of hypothesis “immunosenescence” underlying adverse outcome due to COVID-19 in older patients is taken. Gender peculiarities of COVID-19 are presented by evident scientific data according to the relationship between sex hormone and immune inflammation factors

scholarly journals Age and Gender as Cyber Attribution Features in Keystroke Dynamic-Based User Classification Processes

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 835
Author(s):  
Ioannis Tsimperidis ◽  
Cagatay Yucel ◽  
Vasilios Katos
Keyword(s):  
High Accuracy ◽  
Keystroke Dynamics ◽  
Time Intervals ◽  
Age And Gender ◽  
Common Features ◽  
User Classification ◽  
Gender And Age ◽  
And Gender ◽  
Keystroke Dynamic

Keystroke dynamics are used to authenticate users, to reveal some of their inherent or acquired characteristics and to assess their mental and physical states. The most common features utilized are the time intervals that the keys remain pressed and the time intervals that are required to use two consecutive keys. This paper examines which of these features are the most important and how utilization of these features can lead to better classification results. To achieve this, an existing dataset consisting of 387 logfiles is used, five classifiers are exploited and users are classified by gender and age. The results, while demonstrating the application of these two characteristics jointly on classifiers with high accuracy, answer the question of which keystroke dynamics features are more appropriate for classification with common classifiers.

scholarly journals No Self Without Salience: Affective and Self-relevance Ratings of 552 Emotionally Valenced and Neutral Dutch Words

2021 ◽  
Author(s):  
Lora I. Dimitrova ◽  
Eline M. Vissia ◽  
Hanneke Geugies ◽  
Hedwig Hofstetter ◽  
Sima Chalavi ◽  
...  
Keyword(s):  
Repeated Measures ◽  
Emotional Valence ◽  
Age And Gender ◽  
Gender And Age ◽  
Main Effect ◽  
Emotional Salience ◽  
And Gender ◽  
The Relationship

AbstractIt is unknown how self-relevance is dependent on emotional salience. Emotional salience encompasses an individual's degree of attraction or aversion to emotionally-valenced information. The current study investigated the interconnection between self and salience through the evaluation of emotional valence and self-relevance. 56 native Dutch participants completed a questionnaire assessing valence, intensity, and self-relevance of 552 Dutch nouns and verbs. One-way repeated-measures ANCOVA investigated the relationship between valence and self, age and gender. Repeated-measures ANCOVA also tested the relationship between valence and self with intensity ratings and effects of gender and age. Results showed a significant main effect of valence for self-relevant words. Intensity analyses showed a main effect of valence but not of self-relevance. There were no significant effects of gender and age. The most important finding presents that self-relevance is dependent on valence. These findings concerning the relationship between self and salience opens avenues to study an individual's self-definition.

scholarly journals Soft Biometrics for a Socially Assistive Robotic Platform

2015 ◽  
Vol 6 (1) ◽  
Author(s):  
Pierluigi Carcagnì ◽  
Dario Cazzato ◽  
Marco Del Coco ◽  
Pier Luigi Mazzeo ◽  
Marco Leo ◽  
...  
Keyword(s):  
Real Time ◽  
Humanoid Robot ◽  
Field Of View ◽  
Robotic Platform ◽  
Time System ◽  
Real Time System ◽  
Age And Gender ◽  
Gender And Age ◽  
And Gender ◽  
Assistive Robotic

AbstractIn thiswork, a real-time system able to automatically recognize soft-biometric traits is introduced and used to improve the capability of a humanoid robot to interact with humans. In particular the proposed system is able to estimate gender and age of humans in images acquired from the embedded camera of the robot. This knowledge allows the robot to properly react with customized behaviors related to the gender/age of the interacting individuals. The system is able to handle multiple persons in the same acquired image, recognizing the age and gender of each person in the robot’s field of view. These features make the robot particularly suitable to be used in socially assistive applications.

scholarly journals Drinkers in the micro-social environment of the inhabitants of Ukraine. Age and gender characteristics

2021 ◽  
pp. 4-11
Author(s):  
Igor Linskiy ◽  
Valerii Kuzminov ◽  
Oleksandr Minko ◽  
Hanna Kozhyna ◽  
Yevheniia Grynevych ◽  
...  
Keyword(s):  
Alcohol Problems ◽  
Subjective Perception ◽  
Age And Gender ◽  
Main Research ◽  
Gender And Age ◽  
Comparison Groups ◽  
Gender Characteristics ◽  
And Gender ◽  
Research Consortium ◽  
Ukrainian Society

The purpose of the work is to determine in the Ukrainian society the scale of harm inflicted by drinkers to other persons, as well as the gender and age characteristics of this harm. In four regions of Ukraine (Kharkiv, Lugansk and Zaporizhzhia regions, Kyiv), during 2018-2020, 1,742 people were examined from three qualitatively different comparison groups: patients with alcohol dependence (393 people); their healthy relatives (274 people) and representatives of the general population (1075 people). The main research tool was the questionnaire of the international research consortium GENAHTO (Gender, Alcohol, and Harms to Others). It was shown that, in general, drinkers are present in the microsocial environment of 27.62 % of the surveyed healthy respondents. Extrapolation of this indicator to the entire population of Ukraine suggests that the total number of people who suffer in one way or another due to the drinkers in their environment is about 11.6 million people. In addition, the drinkers frequency in the environment of respondents can be used to determine the real number of people with alcohol problems in our country. Preliminary calculations indicate that this number is from 1.5 to 2.2 million people. The drinkers frequency in the environment of the respondents significantly depends on the age of the latter. The highest values of this indicator are characteristic of the respondents in the age category 40—59 years old” (31.43 % for men and 41.27 % for women). The subjective perception of harm from drinkers in the environment grows steadily with increasing age of the respondents, while this growth is most pronounced in women.

Changes regarding Age and Correlations between Serum Lipids and Body Mass Index in Humankind

2002 ◽  
Vol 41 (03) ◽  
pp. 202-208 ◽  
Author(s):  
I. Yamasawa ◽  
S. Kamohara ◽  
M. Shiota ◽  
T. Komori ◽  
Y. Watanabe ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Serum Lipids ◽  
Density Lipoprotein ◽  
Atherogenic Index ◽  
Health Examination ◽  
Age And Gender ◽  
Gender And Age ◽  
Specialized Care ◽  
And Gender

Summary Objectives: To improve insight into age and gender related distributions of serum lipids and their correlation with body mass index (BMI). Methods: Serum lipids embracing atherogenic index (AI) and BMI were analyzed from the results obtained in 19,823 men and 14,788 women undergoing a health examination between 1986 and 1996. Results: The changes in total cholesterol (TC), triglyceride (TG), AI and BMI differed regarding gender. Although high-density lipoprotein-cholesterol (HDL-C) showed a flat pattern for all ages in both genders, its level in women was higher than in men. The ratio of the number in the unsuitable range to those in the suitable range increased with age as to TC in both sexes, then more than half of the population have an unsuitable level in the sixth decade. As for the correlation between serum lipids and BMI: TC, TG and AI correlated positively, but HDL-C correlated negatively. There were significant gaps between both age and gender. Conclusions: We suggest that the normal range of values of serum lipids needs to be revised according to gender and age to evaluate the risk status for a cardio-cerebrovascular disease more precisely in the field of preventive medicine. Simpler guidelines are preferable in specialized care as well as in general practice, particularly since computer technology is not yet universally adapted. In the near future, when computed information technology will be as common as the electricity and the telephone are current on the whole earth, all guidelines will have to be computed on the spot and personally.

scholarly journals Role of pharmacogenetics in rifampicin pharmacokinetics and the potential effect on TB–rifampicin sensitivity among Ugandan patients

2019 ◽  
Vol 114 (2) ◽  
pp. 107-114 ◽  
Author(s):  
Jackson K Mukonzo ◽  
Allan Kengo ◽  
Bisaso Kutesa ◽  
Sarah Nanzigu ◽  
Anton Pohanka ◽  
...  
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Steady State ◽  
Multidrug Resistant ◽  
Potential Effect ◽  
Age And Gender ◽  
Gender And Age ◽  
Subsequent Effect ◽  
Variant Alleles ◽  
And Gender

Abstract Background Suboptimal anti-TB drugs exposure may cause multidrug-resistant TB. The role of African predominant SLCO1B1 variant alleles on rifampicin pharmacokinetics and the subsequent effect on the occurrence of Mycobacterium tuberculosis–rifampicin sensitivity needs to be defined. We describe the rifampicin population pharmacokinetics profile and investigate the relevance of SLCO1B1 genotypes to rifampicin pharmacokinetics and rifampicin-TB sensitivity status. Methods Fifty patients with TB (n=25 with rifampicin-resistant TB and n=25 with rifampicin-susceptible TB) were genotyped for SLOC1B1 rs4149032 (g.38664C>T), SLOC1B1*1B (c.388A>G) and SLOC1B1*5 (c.521 T>C). Steady state plasma rifampicin levels were determined among patients infected with rifampicin-sensitive TB. Data were analysed using NONMEM to estimate population rifampicin pharmacokinetics as well as the effect of SLOC1B1 genotypes on rifampicin pharmacokinetics and on rifampicin-TB sensitivity status. Results Overall allele frequencies of SLOC1B1 rs4149032, *1B and *5 were 0.66, 0.90 and 0.01, respectively. Median (IQR) Cmax and Tmax were 10.2 (8.1–12.5) mg/L and 1.7 (1.125–2.218) h, respectively. Twenty-four percent of patients exhibited Cmax below the recommended 8–24 mg/L range. SLOC1B1 genotypes, gender and age did not influence rifampicin pharmacokinetics or TB-rifampicin sensitivity. Conclusions Although SLOC1B1 genotype, age and gender do not influence either rifampicin pharmacokinetics or rifampicin-TB sensitivity status, one in every four Ugandan TB patients achieve subtherapeutic plasma rifampicin concentrations.

scholarly journals Trend-Based Categories Recommendations and Age-Gender Prediction for Pinterest and Twitter Users

2020 ◽  
Vol 10 (17) ◽  
pp. 5957 ◽  
Author(s):  
Roberto Garcia-Guzman ◽  
Yair A. Andrade-Ambriz ◽  
Mario-Alberto Ibarra-Manzano ◽  
Sergio Ledesma ◽  
Juan Carlos Gomez ◽  
...  
Keyword(s):  
Text Analysis ◽  
State Of The Art ◽  
Essential Feature ◽  
User Profile ◽  
Age And Gender ◽  
Category Information ◽  
Gender And Age ◽  
Twitter Users ◽  
And Gender ◽  
Number Of Publications

Category suggestions or recommendations for customers or users have become an essential feature for commerce or leisure websites. This is a growing topic that follows users’ activity in social networks generating a huge quantity of information about their interests, contacts, among many others. These data are usually collected to analyze people’s behavior, trends, and integrate a complete user profile. In this sense, we analyze a dataset collected from Pinterest to predict the gender and age by processing input images using a Convolutional Neural Network. Our method is based on the meaning of the image rather than the visual content. Additionally, we propose a heuristic-based approach for text analysis to predict users’ age and gender from Twitter. Both of the classifiers are based on text and images and they are compared with various similar approaches in the state of the art. Suggested categories are based on association rules conformed by the activity of thousands of users in order to estimate trends. Computer simulations showed that our approach can recommend interesting categories for a user analyzing his current interest and comparing this interest with similar users’ profiles or trends and, therefore, achieve an improved user profile. The proposed method is capable of predicting the user’s age with high accuracy, and at the same time, it is able to predict gender and category information from the user. The certainty that one or more suggested categories be interesting to people is higher for those users with a large number of publications.

Symptom CheckList-90-R: Proposed Scales in a Probability Sample of Adolescents from the General Population

2014 ◽  
Vol 17 ◽  
Author(s):  
Elena Felipe-Castaño ◽  
Benito León-del-Barco ◽  
José Antonio López-Pina
Keyword(s):  
Normative Data ◽  
Sampling Error ◽  
Effect Sizes ◽  
Cluster Sampling ◽  
Age Group ◽  
Age And Gender ◽  
Symptom Dimensions ◽  
Probability Sample ◽  
Gender And Age ◽  
And Gender

AbstractTo provide questionnaires for clinical assessment with scales adapted for adolescents would benefit clinical practice as well as research. The aim of this paper is to report normative data for adolescents on the SCL-90-R using a probability sample from the community. The participants were 1,663 adolescents, 845 girls and 818 boys, with an average age of 14.26 (SD = 1.36). They were selected through stratified cluster sampling with groups randomly selected from schools. Sampling error was estimated at 4% with a 95.5% confidence level. Cohen´s d effect sizes are reported for age-group. We found significant differences across participants according to gender and age on SCL-90-R Global Scores and Symptom Dimensions. Thus, we provide normative data, divided according to age and gender.

Selection biases that emerge when age meets gender

2014 ◽  
Vol 29 (8) ◽  
pp. 1028-1043 ◽  
Author(s):  
Enrica N. Ruggs ◽  
Michelle R. Hebl ◽  
Sarah Singletary Walker ◽  
Naomi Fa-Kaji
Keyword(s):  
Older Workers ◽  
White Men ◽  
Job Applicants ◽  
Interactive Effects ◽  
Original Novel ◽  
Age And Gender ◽  
Content Type ◽  
Gender And Age ◽  
And Gender ◽  
Stable Employment

Purpose – The purpose of this paper is to examine the interactive effects of gender and age on evaluations of job applicants. Given the double jeopardy hypothesis, the authors might anticipate that older women would be denigrated most in hiring evaluations. However, given expectations of normative gender behavior, the authors might anticipate that older men would be penalized most for not already having stable employment. This study aims to examine which hypothesis best describes selection biases based on age and gender. Design/methodology/approach – Stimuli depicting male and female job applicants at the various ages were developed. The stimuli were standardized by collecting facial photos of older White men and women at ages 20, 40, and 60, and morphing these faces onto standardized bodies using Adobe Photoshop. Participants viewed six stimuli, one from each age by gender combination, and made evaluations across job relevant dimensions. Findings – Results showed an interaction between age and gender, such that older male applicants were evaluated more negatively than older female and younger male applicants. These findings support for the violation of gender normative behavior hypothesis. Practical implications – This study has implications for organizational leaders who can use this information to provide training for selection officers concerning biases against older workers and how to avoid them. Originality/value – Original, novel stimuli are used in an experimental design to examine the effects of age in employment in a standardized manner which controls for extraneous variables such as attractiveness across age.

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