• Journal of Global Scholars of Marketing Science
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• v.19 no.2
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• pp.17-26
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• 2009

As the lifestyle of consumers changes and the need for various products increases, new products are being developed in the market. Each household owns various home appliances which are purchased through the choice of a decision maker. These appliances include not only large-sized products such as TV, refrigerator, and washing machine, but also small-sized products such as microwave oven and air cleaner. There exists latent correlation among possession of home appliances, even though they are purchased independently. The purpose of this research is to analyze the effect of demographic factors on the purchase and possession of each home appliances, and to derive some relationships among various appliances. To achieve this purpose, the present status on the possession of each home appliances are investigated through consumer survey data on the electric and energy product. And a multivariate probit(MVP) model is applied for the empirical analysis. From the estimation results, some appliances show a substitutive or complementary pattern as expected, while others which look apparently unrelated have correlation by co-incidence. This research has several advantages compared to previous literatures on home appliances. First, this research focuses on the various products which are purchased by each household, while previous researches such as Matsukawa and Ito(1998) and Yoon(2007) focus just on a particular product. Second, the methodology of this research can consider a choice process of each product and correlation among products simultaneously. Lastly, this research can analyze not only a substitutive or complementary relationship in the same category, but also the correlation among products in the different categories. As the data on the possession of home appliances in each household has a characteristic of multiple choice, not a single choice, a MVP model are used for the empirical analysis. A MVP model is derived from a random utility model, and has an advantage compared to a multinomial logit model in that correlation among error terms can be derive(Manchanda et al., 1999; Edwards and Allenby, 2003). It is assumed that the error term has a normal distribution with zero mean and variance-covariance matrix ${\Omega}$. Hence, the sign and value of correlation coefficients means the relationship between two alternatives(Manchanda et al., 1999). This research uses the data of 'TEMEP Household ICT/Energy Survey (THIES) 2008' which is conducted by Technology Management, Economics and Policy Program in Seoul National University. The empirical analysis of this research is accomplished in two steps. First, a MVP model with demographic variables is estimated to analyze the effect of the characteristics of household on the purchase of each home appliances. In this research, some variables such as education level, region, size of family, average income, type of house are considered. Second, a MVP model excluding demographic variables is estimated to analyze the correlation among each home appliances. According to the estimation results of variance-covariance matrix, each households tend to own some appliances such as washing machine-refrigerator-cleaner-microwave oven, and air conditioner-dish washer-washing machine and so on. On the other hand, several products such as analog braun tube TV-digital braun tube TV and desktop PC-portable PC show a substitutive pattern. Lastly, the correlation map of home appliances are derived using multi-dimensional scaling(MDS) method based on the result of variance-covariance matrix. This research can provide significant implications for the firm's marketing strategies such as bundling, pricing, display and so on. In addition, this research can provide significant information for the development of convergence products and related technologies. A convergence product can decrease its market uncertainty, if two products which consumers tend to purchase together are integrated into it. The results of this research are more meaningful because it is based on the possession status of each household through the survey data.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.1
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• pp.98-108
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• 2013

The number of Hi-Pass lanes became 793 lanes at 316 expressway tollgates in 2011 due to the increase in the Hi-Pass use. In spite of the increase in the number of Hi-Pass lanes, there have been increased potential risks in tollgates where vehicles using a Hi-Pass lane must weave with other vehicles using a TCS lane. Therefore, there is a need for study on the safety in tollgates. To this end, this study aims at developing a methodology to evaluate the performance measures of diverse location countermeasures of Hi-Pass lanes in an efficient and systematic way. This study measured the mobility, safety and the convenience of installation and operation of Hi-Pass lanes using a microscopic traffic simulation tool, the surrogate safety assessment model and survey. In addition, this study aggregated the above three performance indexes using weight factors estimated using the AHP technique. For the test site, Dongsuwon interchange was selected. After building the microscopic traffic simulation model for the test site, the location countermeasures of Hi-Pass lanes applicable to the test site were compared with each other in terms of the mobility, safety and installing and operating convenience. As a result, there has been no apparent difference in mobility index based on delays. However, the countermeasures where Hi-Pass lanes are located in inside lanes generally showed better safety performance based on the number of conflicts. In addition, countermeasures with neighboring Hi-Pass lanes were favorable in terms of the safety and the convenience of installation and operation. The methodology proposed in this study was found to be useful to support decision makings by providing critical and quantitative information regarding the mobility, safety and the convenience of installation and operation.

• Korean Journal of Health Education and Promotion
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• v.14 no.1
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• pp.73-95
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• 1997

Elderly problem from being aging society, especially health related problem of the elderly is very serious in many parts of this country. The reason is that most of geriatric disease are chronic and debilitating. The cause of chronic and debilitating disease are bad lifestyle and wrong health habit. Health is affected by a result of interaction of environment and human being. Because of difference of lifestyle between a city and a farm village, health behavior and health status of urban elderly and rural elderly may be dissimilar. Thus the purpose of this study was to grasp health behavior and health status, to identify the factors that effect on health status of the elderly. The subfects for this study, 488 persons aged 60 and over who live in Seoul or Cheonbuk Province. The preliminary survey was carried out from Aug. 19, to Aug. 22, 1996. With complement of questions, main survey was carried out from Sep. 29, to Oco. 10, 1996. The data was analysed by using in SPSS/PC+ program. The results were as follows. 1. General Characteristics 1) In the individual characteritics of the respondents, Seoulites aged 80 and over were 24.7%, the average age was 73.14 years old and rural residents aged 60-69 were 63.7%, the average age was 68.90 years old. In Seoul, 142 men and 101 women were respondents. In Cheonbuk Province, 101 men and 144 women were answered. In Seoul, those who graduated form elementary school were 35.4%, in farming region, illiteracy persons were 44.9%. In Seoul, 47.7% of respondents had spouse and in farming village, 66.1% of respondents had spouse. 39.0% of respondents who's imcome type was independent were Seoulite, and 66.1% of respondents who's income type was independent were rural residents. Employed persons in Seoul and in rural region were 16.9% and 62.0%. 2. Health Behavior 1) For the health behavior total score, the difference by region was not statistically significant. But the score of individual item was different and statistically significant. 2) For the Seoulites, younger person(p〈0.01), the female(p〈0.001) showed better health behavior and for the farming village residents, younger person(p〈0.01), the female(p〈0.01), independent income type(p〈0.05), employed person(p〈0.05) showed better health behavior. 3. Health Status 1) For the self-rated health status total score, the difference by region was statistically significant and individual item score was different and statistically significant. For ADL and IADL total score, the difference by region was not statistically significant, but individual item score was different and statistically significant. 2) For the Seoulites, woman(p〈0.05), lower education(p〈0.00l), independent income type(p〈0.05) showed higher score in self-rated health status. For rural residents, woman(p〈0.05), lower education(p〈0.01), independent Income type(p〈0.001) showed higher score in self-rated health status. For the Seoul residents, younger person(p〈0.001), employed(p〈0.05) showed higher score in ADL and IADL, and for the farm area residents, younger person(p〈0.001), higher education(p〈0.01), having spouse(p〈0.001), family type(p〈0.01) showed higher score In ADL and IADL. 3) For the Seoulites, drinking(p〈0.05), breakfast(p〈0.05), exercise(p〈0.05) and for the rural residents, drinking(p〈0.05), deep sleeping(p〈0.05), exercise(p〈0.01), washing hands before meal(p〈0.01) showed higher score In self-rated health status. For the Seoulites, deep sleeping(p〈0.05), exercise(p〈0.05) and for the farm village residents, fruit(p〈0.05), deep sleeping(p〈0.05), exercise(p〈0.001) showed higher score in ADL and IADL. We carried out this study to analyze the effectiveness through health education program in short term which was performed to use the special subject activities. This study was conducted on 63 students who were first grade in S Junior High School from Dec. 1995 to Feb. 1996. To analyze the effectiveness, we performed the Pretest, 1st Posttest, and 2nd Posttest for learned health knowledge. The results were as follows: 1. Most of the students(69.8%) responded that their health were good, and they got the information for health through Mass Com.. The students who had experience of health education were 15.9%, and the 77.8% of the respondents needed the health education. 2. The means of health knowledge on tests were 18.2(Pretest), 21.5(1st Posttest), and 21.4(2nd Posttest). Increase of health knowledge between Pretest and 1st Posttest was 10.9%. 3. The mean of differences between Pretest and 1st Posttest was 3.26, it was significant(p〈0.01). And the mean of differences between Pretest and 2nd Posttest was 3.19, it was significant(p〈0.01);however, the mean of differences between 1st Posttest and 2nd Posttest was not significant(p=0.2514). 4. The significant main contents were Health Facilities(d=0.42), Pregnancy and Labor(d=0.39), Hygiene(d=0.35), Safety Education(d=0.66), and Drug Abuse(d=0.60)(p〈0.01).

• Journal of The Korean Association For Science Education
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• v.38 no.4
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• pp.467-480
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• 2018

This study aims to investigate how flipped learning-based socioscientific issue instruction (FL-SSI instruction) affected middle school students' key competencies and character development. Traditional classrooms are constrained in terms of time and resources for exploring the issues and making decision on SSI. To address these concerns, we designed and implemented an SSI instruction adopting flipped learning. Seventy-three 8th graders participated in an SSI program on four topics for over 12 class periods. Two questionnaires were used as a main data source to measure students' key competencies and character development before and after the SSI instruction. In addition, student responses and shared experience from focus group interviews after the instruction were collected and analyzed. The results indicate that the students significantly improved their key competencies and experienced character development after the SSI instruction. The students presented statistically significant improvement in the key competencies (i.e., collaboration, information and technology, critical thinking and problem-solving, and communication skills) and in two out of three factors in character and values as global citizens (social and moral compassion, and socio-scientific accountability). Interview data supports the quantitative results indicating that SSI instruction with a flipped learning strategy provided students in-depth and rich learning opportunities. The students responded that watching web-based videos prior to class enabled them to deeply understand the issue and actively engage in discussion and debate once class began. Furthermore, the resulting gains in available class time deriving from a flipped learning approach allowed the students to examine the issue from diverse perspectives.

• The Journal of Bigdata
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• v.4 no.2
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• pp.1-12
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• 2019

As Artificial Intelligence (AI) technology develops, it is applied to various fields such as image, voice, and text. AI has shown fine results in certain areas. Researchers have tried to predict the stock market by utilizing artificial intelligence as well. Predicting the stock market is known as one of the difficult problems since the stock market is affected by various factors such as economy and politics. In the field of AI, there are attempts to predict the ups and downs of stock price by studying stock price patterns using various machine learning techniques. This study suggest a way of predicting stock price patterns based on the Convolutional Neural Network(CNN) among machine learning techniques. CNN uses neural networks to classify images by extracting features from images through convolutional layers. Therefore, this study tries to classify candlestick images made by stock data in order to predict patterns. This study has two objectives. The first one referred as Case 1 is to predict the patterns with the images made by the same-day stock price data. The second one referred as Case 2 is to predict the next day stock price patterns with the images produced by the daily stock price data. In Case 1, data augmentation methods - random modification and Gaussian noise - are applied to generate more training data, and the generated images are put into the model to fit. Given that deep learning requires a large amount of data, this study suggests a method of data augmentation for candlestick images. Also, this study compares the accuracies of the images with Gaussian noise and different classification problems. All data in this study is collected through OpenAPI provided by DaiShin Securities. Case 1 has five different labels depending on patterns. The patterns are up with up closing, up with down closing, down with up closing, down with down closing, and staying. The images in Case 1 are created by removing the last candle(-1candle), the last two candles(-2candles), and the last three candles(-3candles) from 60 minutes, 30 minutes, 10 minutes, and 5 minutes candle charts. 60 minutes candle chart means one candle in the image has 60 minutes of information containing an open price, high price, low price, close price. Case 2 has two labels that are up and down. This study for Case 2 has generated for 60 minutes, 30 minutes, 10 minutes, and 5minutes candle charts without removing any candle. Considering the stock data, moving the candles in the images is suggested, instead of existing data augmentation techniques. How much the candles are moved is defined as the modified value. The average difference of closing prices between candles was 0.0029. Therefore, in this study, 0.003, 0.002, 0.001, 0.00025 are used for the modified value. The number of images was doubled after data augmentation. When it comes to Gaussian Noise, the mean value was 0, and the value of variance was 0.01. For both Case 1 and Case 2, the model is based on VGG-Net16 that has 16 layers. As a result, 10 minutes -1candle showed the best accuracy among 60 minutes, 30 minutes, 10 minutes, 5minutes candle charts. Thus, 10 minutes images were utilized for the rest of the experiment in Case 1. The three candles removed from the images were selected for data augmentation and application of Gaussian noise. 10 minutes -3candle resulted in 79.72% accuracy. The accuracy of the images with 0.00025 modified value and 100% changed candles was 79.92%. Applying Gaussian noise helped the accuracy to be 80.98%. According to the outcomes of Case 2, 60minutes candle charts could predict patterns of tomorrow by 82.60%. To sum up, this study is expected to contribute to further studies on the prediction of stock price patterns using images. This research provides a possible method for data augmentation of stock data.

• Journal of Korean Society of Forest Science
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• v.84 no.2
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• pp.151-165
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• 1995

This study was conducted to establish a systematized taxonomic problems of through the leaf morphological characters and leaf venation patterns, and stomatal cell patterns and cell characteristics of abaxial and adaxial surface of the leaflets by SEM, of 6 native species in Korea and 2 foreign species of the Genus Rhus in the Family Anacardiaceae. The results obtained from this study are summarized as followings: 1. Morphological study measured 32 characters of leaves from herbarium specimen and field-collected samples for each species. The results of cluster analysis based on the Euclidean distance showed that the species could be classified into 3 groups: R. sylvestris. R. typhina, R. succedanea: R. trichocarpa. R. chinensis. R. verniciflua: and R. ambigua. R. radicans subsp. orientale, Analysis of principal components showed 5 groups: The major factors in the first principal component group was length of petiole of the terminal leaflets, that in the second group angle of left side in the terminal leaflet bash, that in the third group area ratio between first and terminal leaflets, that in the forth group angle ratio between right and left side in the terminal leaflet base, and that in the fifth group was angle of main and secondary vein at midrib of terminal leaflet. Cumulative contribution by the first, second and third principal component group was explained with 82.6%, a large percent of all information. 2. The leaf venation pattern investigated using soft X-ray photography revealed clado-and reticulo-camptodromous types according to branching angle of the secondary vein. And three groups by the developing degree of secondary vein were R. trichocarpa, R. ambigua. R. chinensis, R. typhina; R. radicans subsp. onentale, R. succedanea, R. verniciflua: and R. sylvestris. Classification key for the Rhus of Korean-native Anacardiaceae was made by the venation pattern and devevoping degree of the secondary vein. 3. The stomatal cell patterns were greatly classified into paracytic and anomocytic types, specific among species according to stomatal and subsidiary cell patterns, and various differences among the species was determined. Microstructure of the adaxial and abaxial surfaces could be divided into synclinal and anticlinal cell wall patterns, and were specific-species. Stomatal cells of R. chinensis were surrounded with characterized villus-like cells.

• Tuberculosis and Respiratory Diseases
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• v.60 no.3
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• pp.297-303
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• 2006

Background : Pulmonary tuberculosis is frequently accompanied with complications such as bronchiectasis, cavities, fibrosis and a deterioration of the lung function. However, there is little information available on the pathogenesis of these complications in pulmonary tuberculosis. Among the many factors involving in tissue remodeling, transforming growth factor-${\beta}1$ ($TGF-{\beta}1$) is a potent stimulus of the extracellular matrix fomation and a mediator of potential relevance for airway wall remodeling. Therefore, this study examined the relationship between the radiological changes and the $TGF-{\beta}1$ level in patients with pulmonary tuberculosis. Methods : Serum and bronchoalveolar lavage fluid (BALF) were collected from total of 35 patients before treating them for active pulmonary tuberculosis, and the $TGF-{\beta}1$ levels were measured using an enzyme-linked immunosorbent assay (ELISA). The BALF levels were recalculated as the epithelial lining fluid (ELF) levels using the albumin method. pulmonary function test (PFT) and high resolution computed tomography (HRCT) were performed before and after treatment. Results : There was a strong correlation between the serum $TGF-{\beta}1$ level and the presence of cavities (r=0.404, p=0.006), even though the BAL $TGF-{\beta}1$ level showed a weak correlation with complications. In addition, there was no correlation between the $TGF-{\beta}1$ levels before treatment and the changes in the PFT and HRCT during treatment. Conclusion : There is a correlation between the serum $TGF-{\beta}1$ level and cavity formation in pulmonary tuberculosis before treatment. However, further study will be needed to confirm this.

• Journal of Physiology & Pathology in Korean Medicine
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• v.17 no.3
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• pp.605-610
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• 2003

According to the Leukemia and Lymphoma Society, leukemia is a malignant disease (cancer) that originates in a cell in the marrow. It is characterized by the uncontrolled growth of developing marrow cells. There are two major classifications of leukemia: myelogenous or lymphocytic, which can each be acute or chronic. The terms myelogenous or lymphocytic denote the cell type involved. Thus, four major types of leukemia are: acute or chronic myelogenous leukemia and acute or chronic lymphocytic leukemia. Leukemia, lymphoma and myeloma are considered to be related cancers because they involve the uncontrolled growth of cells with similar functions and origins. The diseases result from an acquired (not inherited) genetic injury to the DNA of a single cell, which becomes abnormal (malignant) and multiplies continuously. In the United States, about 2,000 children and 27,000 adults are diagnosed each year with leukemia. Treatment for cancer may include one or more of the following: chemotherapy, radiation therapy, biological therapy, surgery and bone marrow transplantation. The most effective treatment for leukemia is chemotherapy, which may involve one or a combination of anticancer drugs that destroy cancer cells. Specific types of leukemia are sometimes treated with radiation therapy or biological therapy. Common side effects of most chemotherapy drugs include hair loss, nausea and vomiting, decreased blood counts and infections. Each type of leukemia is sensitive to different combinations of chemotherapy. Medications and length of treatment vary from person to person. Treatment time is usually from one to two years. During this time, your care is managed on an outpatient basis at M. D. Anderson Cancer Center or through your local doctor. Once your protocol is determined, you will receive more specific information about the drug(s) that Will be used to treat your leukemia. There are many factors that will determine the course of treatment, including age, general health, the specific type of leukemia, and also whether there has been previous treatment. there is considerable interest among basic and clinical researchers in novel drugs with activity against leukemia. the vast history of experience of traditional oriental medicine with medicinal plants may facilitate the identification of novel anti leukemic compounds. In the present investigation, we studied 31 kinds of anti leukemic medicinal plants, which its pharmacological action was already reported through many experimental articles and oriental medical book: 『pharmacological action and application of anticancer traditional chinese medicine』 In summary: Used leukemia cellline are HL60, HL-60, Jurkat, Molt-4 of human, and P388, L-1210, L615, L-210, EL-4 of mouse. 31 kinds of anti leukemic medicinal plants are Panax ginseng C.A Mey; Polygonum cuspidatum Sieb. et Zucc; Daphne genkwa Sieb. et Zucc; Aloe ferox Mill; Phorboc diester; Tripterygium wilfordii Hook .f.; Lycoris radiata (L Her)Herb; Atractylodes macrocephala Koidz; Lilium brownii F.E. Brown Var; Paeonia suffruticosa Andr.; Angelica sinensis (Oliv.) Diels; Asparagus cochinensis (Lour. )Merr; Isatis tinctoria L.; Leonurus heterophyllus Sweet; Phytolacca acinosa Roxb.; Trichosanthes kirilowii Maxim; Dioscorea opposita Thumb; Schisandra chinensis (Rurcz. )Baill.; Auium Sativum L; Isatis tinctoria, L; Ligustisum Chvanxiong Hort; Glycyrrhiza uralensis Fisch; Euphorbia Kansui Liou; Polygala tenuifolia Willd; Evodia rutaecarpa (Juss.) Benth; Chelidonium majus L; Rumax madaeo Mak; Sophora Subprostmousea Chunet T.ehen; Strychnos mux-vomical; Acanthopanax senticosus (Rupr.et Maxim.)Harms; Rubia cordifolia L. Anti leukemic compounds, which were isolated from medicinal plants are ginsenoside Ro, ginsenoside Rh2, Emodin, Yuanhuacine, Aleemodin, phorbocdiester, Triptolide, Homolycorine, Atractylol, Colchicnamile, Paeonol, Aspargus polysaccharide A.B.C.D, Indirubin, Leonunrine, Acinosohic acid, Trichosanthin, Ge 132, Schizandrin, allicin, Indirubin, cmdiumlactone chuanxiongol, 18A glycyrrhetic acid, Kansuiphorin A 13 oxyingenol Kansuiphorin B. These investigation suggest that it may be very useful for developing more effective anti leukemic new dregs from medicinal plants.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.363-368
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• 2003

We have successfully developed a more effective algorithm to extract the lineament in the area covered by wide alluvial deposits characterized by a relatively narrow range of brightness in the Landsat TM image, while the currently used algorithm is limited to the mountainous areas. In the new algorithm, flat areas mainly consisting of alluvial deposits were selected using the Local Enhancement from the Digital Elevation Model (DEM). The aspect values were obtained by 3${\times}$3 moving windowing of Zevenbergen & Thorno's Method, and then the slopes of the study area were determined using the aspect values. After the lineament factors in the alluvial deposits were revealed by comparing the threshold values, the first rank lineament under the alluvial deposits were extracted using the Hough transform In order to extract the final lineament, the lowest points under the alluvial deposits in a given topographic section perpendicular to the first rank lineament were determined through the spline interpolation, and then the final lineament were chosen through Hough transform using the lowest points. The algorithm developed in this study enables us to observe a clearer lineament in the areas covered by much larger alluvial deposits compared with the results extracted using the conventional existing algorithm. There exists, however, some differences between the first rank lineament, obtained using the aspect and the slope, and the final lineament. This study shows that the new algorithm more effectively extracts the lineament in the area covered with wide alluvlal deposits than in the areas of converging slope, areas with narrow alluvial deposits or valleys.

• Journal of Korean society of Dental Hygiene
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• v.9 no.4
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• pp.753-767
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• 2009

Objectives : The study is to gain some basic material for the improvement of dental clinics' homepages through a survey investigation, in which college students of three Dental Hygienic departments participated in Kwangju and Cheollanamdo Province. Methods : In the investigation three factors were analyzed : the degree of knowledge on dental clinics' homepages, the degree of recognition on them, and whether they have paid a visit on them or not. A total of 509(96.8%) respondents are valid except 17sheets of responses. Results : 1. When asked about the degrees of knowledge on the formation of the homepages by students' years, the correct rate on Information Service was higher in a row of the second year, the first year, and the third year. And it shows statistically significant difference(p<0.05). In the part of Counseling Service, the rate of correct answers was highest in the second year, and then the first year and the third year. It also shows significant difference(p<0.05). In case of Visual Service, the second year got the highest rate of correct answers, and then the first year and the third year. Here is significant difference by the school years<0.01) 2. It was asked whether they have visited the dental clinics' homepages. The results are like this: 145 sophomores(28.5%) have visited them, and 115 juniors(22.6%) and 85 freshmen(16.7%), and it show significant difference (p<0.001). 3. It was asked how many sites they have visited. Among the freshmen, not a few students visited two sites (34, 9.9%), among sophomores 48 students visited five sites(13.9%), and among juniors the highest answers were two sites (41, 11.9%). It shows signigicant difference(p<0.01). 4. It was asked what is the purpose of the visits. At this 27 freshmen answered for having counseling(7.8%), and 80 sophomores(23.3%) and 43 juniors(12.5%) answered they visited them for the purpose of gaining some materials about their major. It shows significant difference(p<0.001). 5. It was asked with what opportunity they have visited them. They answered through searching activities like this : freshmen (68, 19.8%), sophomores (130, 37.9%), and juniors (98, 28.6%). It shows significant difference(p<0.05). 6. In regard with the recognition of the homepages, all the participants said that the management of the homepages are closely related with the images of the clinics($3.96{\pm}0.781$). But it is found that they do not think that the effective management of dental clinics' homepages is the task of dental hygienic workers as a part of dental hygienic($3.12{\pm}0.971$). 7. There is some difference concerned with the homepages among each group of students; sophomores have highest recognition on them and then juniors and freshmen, and it shows significant difference(p<0.01). In addition, those who have visited them show higher recognition than those who have never visited them(p<0.001). Conclusions : There are some differences among each group of students in regard with the formation service, the purpose of visiting them and such experiences, and the opportunities. Whereases they think that the management of the homepages are closely related with the images of the clinics, they do not think that the effective management of dental clinics' homepages is the task of dental hygienic workers as a part of dental hygienic. Therefore it is necessary to study actively for the qualitative improvement of the dental clinics' homepages, which will result in the higher recognition on the homepages by the dental hygienic students and the workers.