The Journal of the Korea institute of electronic communication sciences
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v.17
no.1
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pp.99-104
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2022
Artificial intelligence is getting a crucial part of our lives with its incredible benefits. Machines outperform humans in recognizing objects in images, particularly in classifying people into correct age and gender groups. In this respect, age and gender classification has been one of the hot topics among computer vision researchers in recent decades. Deployment of deep Convolutional Neural Network(: CNN) models achieved state-of-the-art performance. However, the most of CNN based architectures are very complex with several dozens of training parameters so they require much computation time and resources. For this reason, we propose a new CNN-based classification algorithm with significantly fewer training parameters and training time compared to the existing methods. Despite its less complexity, our model shows better accuracy of age and gender classification on the UTKFace dataset.
Journal of The Korean Society of Integrative Medicine
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v.10
no.3
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pp.199-208
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2022
Purpose : The study aimed to examine gender-differences in muscle tone, elasticity, and stiffness of the erector spinae in young and old subjects. This study also aimed to assess the effect of aging on muscle tone, elasticity, and stiffness of the erector spinae in men and women, and compare the trend of the aging effect between the two gender groups. Methods : With the muscle in the relaxed state and subjects in the prone position, a myotonometer was used to quantify muscle tone, elasticity, and stiffness, of the erector spinae in 102 participants[46 males (29 young subjects, aged 22.48±2.23 years and 17 old subjects, aged 76.35±3.71 years), 56 females (40 young subjects, aged 20.38±1.43 years and 16 old subjects, aged 74.56±5.40 years)]. Results : The tone and stiffness of the erector spinae muscles were greater in men than in women for both age groups (p<.001-.01), while elasticity did not show a significant difference between men and women. For the direction of change, both male and female groups showed significantly increased tone and stiffness, and decreased elasticity with increasing age (p<.001). For age-related changes, a different tendency was observed between men and women. Men showed a greater increase in tone than women with aging. in contrast, both men and women exhibited a similar decrease or increase in elasticity and stiffness. Conclusion : Gender-differences in the erector spinae in terms of muscle tone and stiffness were observed. Regardless of the age, men had higher muscle tone and stiffness than women, but not elasticity. The erector spinae muscles showed age-related changes in all aspects of muscle tone, elasticity, and stiffness, in both men and women. Notably, men presented greater variation than women in the amount of increase of muscle tone with aging. These findings have implications for musculoskeletal therapeutic approaches, and gender-customized tuning may be indicated for designing exercise interventions to prevent and manage gender-sensitive muscular injuries or diseases and frailty.
The purpose of this study was to investigate the relationship between children's gender role attitude measured by component model and social competency. Subjects were 232 elementary school children: 113 4th graders and 119 6th graders. The main results were as follows. First there were significant differences in mean scores of gender role attitude with age and sex variable. And among three dimensions of component model(i.e, gender label-component links within-component links between-component links) the difference was most discriminant in gender label-component links. Second there were significant relationship between gender role attitude and social competency. Among three dimensions of gender role attitude the most predictor variable for social competency was gender label-component links. And among four dimensions of social competency the most effective criterion variable for gender role attitude was leadership. And there were significant differences in social competency score with mother's educational level and sex of children as well as gender role attitude. In conclusion children's gender role attitude influence their social competency. More flexible gender role attitude they have more improved in their social competency , especially in boys.
Objectives: The purpose of this study is to empirically verify the difference between traditional gender role attitude and realistic dual earner attitude. Most preceding studies analyzed gender role attitude by summated rating scale while few studies have been conducted on the difference between traditional gender role attitude and dual earner attitude. Method: By using the 9th Korea Welfare Panel Data (year 2014), this study extracted households of married couples and with children in working age (18 through 64 years of age) who are the main subjects in work-family relationship. First, this study classified traditional group and modern group in their gender role attitude and passive group and active group in their dual earner attitude and by crossing these attitudes, drew out 4 gender role/dual earner attitudes. For analysis, this study investigated frequency of attitude types through descriptive statistics. By conducting ANOVA, study verified if there are significant differences in the satisfaction with family relationship depending on the types of gender role/dual earner attitudes. Lastly, study examined the effect of socio-economic status and demographic characteristics on the types of gender role/dual earner attitudes by conducting multi-nominal logistic regression analysis. Results: As the result of analysis, first, half of respondents belonged to 'equal-role-oriented type' who has modern gender role attitude and active dual earner attitude. However, there were not a few 'dual-earner-avoiding type' who has modern gender role attitude but passive dual earner attitude and 'incongruous attitude type' who has traditional gender role attitude but active dual earner attitude. Next, 'incongruous attitude type' had significantly low level of satisfaction with overall family life, relationship with spouse and relationship with children than other attitude types. Lastly, those whose incomes belong to poor strata, those who are high school graduates and lower, males and those who are over the age of 60 had significantly higher probability of belonging to 'incongruous attitude type.' Conclusion: The results of analysis demonstrate that the difference between gender role attitude and dual earner attitude is an important matter and since 'incongruous attitude type' exhibits low level of satisfaction with family relationship, scrupulous policy approaches are required for those who have high possibility of belonging to 'incongruous attitude type.'
The purpose of this study was to (1) establish a Korean adult normative data for Iowa Oral Performance Instrument, (2) investigate the characteristics of maximal tongue and lip strength and tongue endurance scores according to age and gender, and (3) examine the correlation of those scores. The results showed that there were no significant differences of gender in maximal tongue strength and tongue endurance scores. But there were significant differences of age in maximal tongue and lip strength and tongue endurance scores. The data will provide an important database for speech language pathology with the purpose of diagnosis and treatment of tongue and lip dysfunction.
Puzio, Natalia;Purwin, Cezary;Nogalski, Zenon;Bialobrzewski, Ireneusz;Tomczyk, Lukasz;Michalski, Jacek P.
Asian-Australasian Journal of Animal Sciences
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v.32
no.8
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pp.1211-1218
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2019
Objective: The objective of this study was to determine the effects of age and gender (bull vs steer) on feeding behavior parameters in young beef cattle fed grass silage. Methods: The study was conducted on 180 young beef cattle at 7 to 18 mo of age. The experimental materials comprised 90 bulls produced by commercial crossing of Polish Holstein-Friesian cows with Charolais, Limousin and Hereford bulls (30 animals of each breed) and 90 steers of the same genotypes. The animals had ad libitum access to grass silage; the concentrate was fed separately, in feed stations. They received 28 g dry matter of concentrate per kg of metabolic body weight per day. Bunk visit data and silage intake for all experimental animals were recorded individually using the Roughage Intake Control system (5 feed bunks per 15 animals). Results: Age and gender (bull vs steer) exerted significant effects on the feeding behavior of young beef cattle. The frequency of bunk visits and meal frequency decreased, whereas the feeding rate of silage, and the average duration and size of a single meal increased with age (p<0.01). Bunk attendance and meal frequency were higher (p<0.01) in steers than in bulls (49.1 vs 37.4 visits/d, and 8.63 vs 7.99 meals/d, respectively). Daily feeding time was longer in steers than in bulls (102.3 vs 100.3 min/d, respectively), but the feeding rate of silage was lower in steers, and their meals were smaller in size and shorter in duration (p<0.01). Daily silage dry matter intake was higher (p<0.01) in bulls than in steers (4.62 vs 4.47 kg/d, respectively). Conclusion: The results of this study indicate that age and gender (bull vs steer) exerted significant effects on the feeding behavior of young beef cattle.
This study investigated the relationships among Selection, Optimization, and Compensation(SOC) as strategies of life management in mid-life crisis respect to gender and age. The subjects of this study were 170 females and 182 males at the ages between 40 and 60 living in Seoul. Selection, Optimization, and Compensation(SOC) as strategies of life management were assessed by SOC-questionnaire while mid-life crisis was assessed by Mid-Life Crisis Scale. The data were analyzed using frequencies, percentiles, means, standard deviations, Cronbach's $\alpha$, two-way ANOVAS, and Pearson's correlations. Except compensation there was no significant difference in Selection and Optimization as strategies of life management as a function of gender and age. No signigicant difference was found in mid-life crisis as a function of gender and age. There were significant negative correlations among Selection, Optimization, and Compensation(SOC) as strategies of life management and mid-life crisis except the individuation.
Purpose: This study compared health behaviors between single-member and multiple-member households by gender in adults. Method: Study subjects were 21,757 adults 20-65-years-of-age from the Third Korea National Health and Nutrition Examination Survey in 2005. The relationship between health behaviors and residence characteristics was assessed using multiple logistic regression analysis while controlling for sociodemographic characteristics. Results: Younger women living alone were more likely to drink than older women living with others. Women who were in multiple-member households and had a low income were less likely to exercise regularly, to sleep well, and to have regular health examinations. Age, educational level, and income were significantly associated with smoking, exercise, and health examination rather than residence characteristics in men. Conclusion: Residence characteristics should be considered in developing a public health program to reduce or increase modifiable health behaviors as well as age, gender, education, and income.
Seung Won Jung;Seo Yeon Hwang;Gi Eun Choi;Eun Young Jo;Jin Wook Lee;Jin Young Nam
Korea Journal of Hospital Management
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v.28
no.3
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pp.27-38
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2023
Objectives: This study explores the impact of age groups on social presence and trust among users of medical artificial intelligence chatbots. Furthermore, we investigate the existence of gender differences within these relationships. Method: We collected data through a survey from people who had interacted with general hospital chatbot services, either by making reservations or seeking consultations. Multiple linear regression analysis was conducted to examine the relationship between general characteristics of study population and social presence and trust of artificial intelligence chatbots. Additionally, we conducted stratified analysis to confirm the presence of gender differences within these relationship. Results: Among 300 participants, those aged 50 and older had higher social presence of artificial intelligence chatbots and greater trust of artificial intelligence chatbots (social presence, 𝛽=0.543, p=0.003; trust, 𝛽=0.787, p=0.000). In stratified by sex, women aged 50 and older had higher social presence and trust of artificial intelligence chatbots compared to those in their 30s age group (social presence, 𝛽 = 0.925, p=0.002; trust, 𝛽=0.645, p=:0.007). However, there was no statistically significant relationship between age and chatbot social presence and trust in men. Conclusion: This study demonstrates that advanced age plays a significant roles in users' social presence and trust in medical artificial intelligence chatbots. Futhermore, our findings reveal gender differences with women aged 50 and older showing the most substantial levels of social presence and trust. Therefore, it is expected that this finding can serve as valuable evidence to enhance the satisfaction of medical institution service users, offering crucial insights into the effective utilization of chatbot services.
Journal of the Korea Society of Computer and Information
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v.21
no.3
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pp.73-81
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2016
With the increasing popularity of social network services (SNSs), there have been many attempts to analyze the users of SNSs. By doing so, the characteristics and preferences of the users can be understood, which can help companies provide personalized information and services that they need or are relevant for them. This study aimed to analyze the usage behavior of Korean Twitter users from various perspectives to deepen the understanding of it. For this research goal, an online survey was conducted for the users of Twitter and the data about their actual usage were collected using the open API of Twitter. Factor analysis of the data revealed five factors that explain about 69.3% of the usage variables. It was also investigated how the factors are related to gender, age, and brand preferences. The results showed that the usage behavior of Twitter is largely affected by age (p<0.001), and also by gender through an interaction effect (p<0.05). Also, the factors showed significant statistical correlations with the brand preferences of the users.
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