• Journal of Life Science
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• v.29 no.7
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• pp.762-768
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• 2019

Doellingeria scabra Thunb. (syn. Aster scaber Thunb.), a perennial herb in the family Asteraceae, is frequently found in the wild mountain regions of Korea. This aim of this work was to measure the characteristics of patchiness of D. scabra in a local population on Mt. Maebong in Taeback-ci, Gangwon-do. The spatial distribution pattern of this species was estimated by analyzing ecological data by methods including the index of dispersion, Lloyd's mean crowding, and Morisita's index. The mean population density of the D. scabra population was 2.94. The D. scabra individuals were uniformly or randomly distributed in small-scale plots and were aggregately distributed in two large-scale plots ($16{\times}32m^2$ and $32{\times}32m^2$). The mean crowding ($M^*$) was 0.916. The mean patchiness index (PAI) was 0.796. Morisita's coefficient tended to decrease the density of the population as the plot size increased. The expected value of Eberhardt's index ($I_E$) in the local population was 2.623. Moran's I of D. scabra significantly differed from the expected value in 6 of 8 cases (75.0%). The first five classes were positive, with four showing statistical significance, indicating similarity among individuals in the first four distance classes (I-IV, 8 m), The results presented here could provide a theoretical basis for the conservation of D. scabra (Korean: chamchwi) and for the rehabilitation and sustainable management of forest ecosystems on Mt. Maebong, as well as on other mountains.

• Journal of The Korean Association For Science Education
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• v.39 no.1
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• pp.115-128
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• 2019

The purpose of this study is to analyze the relationship between mentor teachers' mentoring characteristics and mentee teachers' reflective practices and to investigate mentor teachers' mentoring methods to enhance mentee teachers' reflective practices based on the analysis. The participants were four beginning science teachers and four mentors who have more than seven years of teaching experience. This study compiled mentor and mentee teachers' journals, records and transcripts from mentee teachers' five periods of classes, lesson plans, evaluation forms of lessons, one-on-one mentoring records and transcripts, questionnaires conducted before, during, and after the mentoring program, and a questionnaire about the effects of one-on-one mentoring. The mentoring characteristics of mentor teachers were analyzed based on mentor's interaction methods and the contents and frequency of the support based on teaching feedback. Mentee teachers' reflective thinking was analyzed by being categorized as voluntary self-reflections of their classes and reflections on the support provided by mentor teachers. Mentee teachers' reflective practices were analyzed by utilizing RTOP. The conclusions of this study are as follows: Mentor teachers could promote mentee teachers' reflective practices by eliciting conversation that helped mentees perceive problems in their teaching practices. Mentors' questions evoking mentees' reflective thinking could elicit mentees' spontaneous self-reflection, and it led to the enhancement of self-reflection on mentors' support and reflective practices. When mentors offered the support based on teaching practices while playing a role as a facilitator to help mentees identify and solve problems by themselves, mentees' reflective practices could be promoted.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.801-806
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• 2022

In the modern era, the necessity of color capability in the digital era is the demand of the era, and research on improving color practice on the subdivided digital four areas that are not in the existing practice is needed. For digital majors who are difficult to solve in existing paint color practice, classes in digital color practice in four more specialized areas are needed, and the use of efficient artificial intelligence was studied for classes in digitized color and color sense. In this paper, we tried to show the expansion of the color practice area by suggesting digital color practice and color matching method based on Photoshop artificial intelligence and big data technology that existing color and color matching were practice that only CMYK could do. In addition, based on the color quantification data of individual users provided by the latest Adobe Sceney program artificial intelligence, the purpose of the practice was to improve learners' predictions of actual color combinations and random colors using filter effects. In conclusion, it is a study on the use of programs that eliminate ambiguity in the mixing process of existing paint practice, secure digital color details, and propose a practical method that can provide effective learning methods for beginners and intermediates to develop their senses through artificial intelligence support. The Adobe program practice method necessary for coloration and main color through theoretical consideration and improvement of teaching skills that are better than existing paint practice were presented.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1032-1032
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• 2001

Artificial Neural Network (ANN) calibration techniques have been used commercially for agricultural applications since the mid-nineties. Global models, based on transmission data from 850 to 1050 nm, are used routinely to measure protein and moisture in wheat and barley and also moisture in triticale, rye, and oats. These models are currently used commercially in approx. 15 countries throughout the world. Results concerning earlier European ANN models are being published elsewhere. Some of the findings from that study will be discussed here. ANN models have also been developed for coarsely ground samples of compound feed and feed ingredients, again measured in transmission mode from 850 to 1050 nm. The performance of models for pig- and poultry feed will be discussed briefly. These models were developed from a very large data set (more than 20,000 records), and cover a very broad range of finished products. The prediction curves are linear over the entire range for protein, fat moisture, fibre, and starch (measured only on poultry feed), and accuracy is in line with the performance of smaller models based on Partial Least Squares (PLS). A simple bias adjustment is sufficient for calibration transfer across instruments. Recently, we have investigated the possible use of ANN for a different type of NIR spectrometer, based on reflectance data from 1100 to 2500 nm. In one study, based on data for protein, fat, and moisture measured on unground compound feed samples, dedicated ANN models for specific product classes (cattle feed, pig feed, broiler feed, and layers feed) gave moderately better Standard Errors of Prediction (SEP) compared to modified PLS (MPLS). However, if the four product classes were combined into one general calibration model, the performance of the ANN model deteriorated only slightly compared to the class-specific models, while the SEP values for the MPLS predictions doubled. Brix value in molasses is a measure of sugar content. Even with a huge dataset, PLS models were not sufficiently accurate for commercial use. In contrast an ANN model based on the same data improved the accuracy considerably and straightened out non-linearity in the prediction plot. The work of Mr. David Funk (GIPSA, U. S. Department of Agriculture) who has studied the influence of various types of spectral distortions on ANN- and PLS models, thereby providing comparative information on the robustness of these models towards instrument differences, will be discussed. This study was based on data from different classes of North American wheat measured in transmission from 850 to 1050 nm. The distortions studied included the effect of absorbance offset pathlength variation, presence of stray light bandwidth, and wavelength stretch and offset (either individually or combined). It was shown that a global ANN model was much less sensitive to most perturbations than class-specific GIPSA PLS calibrations. It is concluded that ANN models based on large data sets offer substantial advantages over PLS models with respect to accuracy, range of materials that can be handled by a single calibration, stability, transferability, and sensitivity to perturbations.

• Journal of The Korean Association For Science Education
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• v.20 no.3
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• pp.421-431
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• 2000

The purpose of this study is to investigate the effects of portfolio instruction on the creativity and scientific inquiry ability of 6th-grade students in science classroom. Four classes were sampled from an urban elementary school in southern part of Seoul. Two classes were assigned to experimental group and the other two classes to control group. Portfolio instruction was administered to the experimental group for 10 weeks, and traditional instruction to the control group. Data on students' creativity and scientific inquiry ability were collected prior to and after the treatment for both groups. Students' perception on portfolio instruction was investigated with experimental group after the treatment. The results of this study are as follows: (1) Portfolio instruction had a significant positive effect on creativity; (2) Students' originality, one of sub-domain of creativity, showed marked increase after portfolio instruction; (3) Portfolio instruction had a significant positive effect on scientific inquiry ability; (4) Integrated inquiry ability, a sub-domain of inquiry ability, improved meaningfully after portfolio instruction; and (4) Students' perception on portfolio instruction is very positive.

• Ocean and Polar Research
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• v.33 no.spc3
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• pp.349-358
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• 2011

In order to ascertain latitudinal variation of lipid contents and compositions in copepods, we collected warm water copepod species (Euchaeta sp. and Pleuromamma spp.) from four different regions from low (sub-tropical) to mid (temperate) latitudes in the Northwest Pacific Ocean. Total lipid contents of Pleuromamma spp. were about 11 $ug{\cdot}ind^{-1}$ with little latitudinal variation, whereas Euchaeta sp. showed slightly higher lipid content (20 $ug{\cdot}ind^{-1}$) than Pleuromamma spp. with latitudinal gradient (low at subtropic and high at temperate). Wax esters, known as the major storage lipid classes, were found to be the dominant lipid classes (accounting for more than 35% of total lipids) in Euchaeta sp., whereas in Pleuromamma spp., phospholipids, known as cellular membrane components, were the dominant lipid classes. However, the exception was specimens from warm pool region exhibiting dominance in storage of lipids as a form of triacylglycerols. Among fatty acids, polyunsaturated fatty acids (PUFA), especially docosahexaenoic acid (DHA : 22:6(n-3)) (about 35% of total fatty acids), were most abundant in Euchaeta sp., while saturated fatty acids (SAFA), specially hexadecanoic acid (16:0) (about 30% of total fatty acids), were most abundant in Pleuromamma spp.. Among the neutral fraction of lipids, phytol, originated from the side chain of chlorophyll, was found in all samples which generally indicate active copepods feeding on algae. While only trace amounts of short-chain fatty alcohols were found in Pleuromamma spp., significant amounts of fatty alcohols were found in Euchaeta sp.. Particularly, significant amounts of long chain monounsaturated fatty alcohols (20:1 and 22:1), generally found in cold water species, were found in Euchaeta sp. from low latitudes. The latitudinal variation of trophic lipid markers in these copepods could be significantly related with in-situ food availability and species-specific diet preference. The result of this study suggests that the lipid contents and compositions in copepods may not only indicate their nutritional condition and feeding ecology but also provide insight into species-specific living strategies under different environmental conditions (i.e. water temperature, food availability).

• Korean Journal of Microbiology
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• v.51 no.4
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• pp.398-406
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• 2015

Culture-dependent ARDRA and culture-independent DGGE were employed to investigate the bacterial community associated with the marine sponge Halichondria panicea collected from Jeju Island. A total of 120 bacterial strains associated with the sponge were cultivated using modified Zobell and Marine agar media. PCR amplicons of the 16S rRNA gene from the bacterial strains were digested with the restriction enzymes HaeIII and MspI, and then assigned into different groups according to their restriction patterns. The 16S rRNA gene sequences derived from ARDRA patterns showed more than 96% similarities compared with known bacterial species, and the isolates belonged to four classes, Alphaproteobacteria, Gammaproteobacteria, Bacteroidetes, and Firmicutes, of which Alphaproteobacteria was dominant. DGGE fingerprinting of 16S rRNA genes amplified from the sponge-derived total gDNA showed 14 DGGE bands, and their sequences showed 100% similarities compared with the sequences available in GenBank. The sequences derived from DGGE bands revealed high similarity with the uncultured bacterial clones. DGGE revealed that bacterial community consisted of seven classes, including Alphaproteobacteria, Gammaproteobacteria, Acidobacteria, Actinobacteira, Bacteroidetes, Cyanobacteria, and Chloroflexi. According to both the ARDRA and DGGE methods, three classes, Alphaproteobacteria, Gammaproteobacteria, and Bacteroidetes, were commonly found in H. panicea. However, overall bacterial community in the sponge differed depending on the analysis methods. Sponge showed more various bacterial community structures in culture independent method than in culture-dependent method.

• Journal of The Korean Association For Science Education
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• v.30 no.5
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• pp.544-556
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• 2010

The purpose of this study was to investigate the change in beginning science teachers' inquiry-oriented teaching practice through mentoring program. Participants in this study are three mentor teachers and three beginning teachers. The three beginning teachers are middle school science teachers who have less than four years teaching experience. Also three science teachers participated in the program as mentors, who have more than twelve years teaching experience. We collected data such as video recordings of beginning teachers' classes, lesson plans, recordings of one to one mentoring and RTOP class observation reports. Mentor teachers observed and analyzed five classes of each beginning teacher. Before the mentoring program, beginning teachers' teaching methods were more concept-oriented and teacheroriented. They rarely used inquiry-elements including prediction, reasoning, hypothesizing and students were not actively engaged in communicative interactions in a classroom. But during the mentoring program, these teachers recognized and responded to student diversity and encouraged all students to participate in science learning. Beginning teachers' teaching methods have changed to become student-oriented, teachers and students collaborated in pursuit of ideas, and students often initiated new activities relevant to an inquiry. As a result, this mentoring program provided beginning teachers the opportunities to reflect on their own teaching and reform their classes. The results show that school-centered mentoring program is helpful to enhance beginning science teachers' inquiry-oriented teaching ability.

• Journal of The Korean Association For Science Education
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• v.35 no.3
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• pp.353-361
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• 2015

This study focused on the use of peer assessment activities to investigate its the impact on students' argumentation skills in argument-based inquiry. The participants of the study were 106 10th grade students (four classes). Two classes were assigned to the experimental group, and the other two classes were assigned to the comparative group. The experimental group was taught argument-based inquiry through the application of peer assessment activities. The comparative group was taught argument-based inquiry without peer assessments. At the claim and evidence stage, students were asked to evaluate whether peers' claims fit with the evidence and whether peers' explanation of the evidences validity was sufficient. The quality of argumentation used in the students' writing was different in each group. According to the analysis of the summary writing test, the results showed that the experimental group had a significantly higher mean score than the comparative group in argumentation components, including evidence and warrant/backing. In addition, the experimental group used better multimodal representation including explanation of evidence than the comparative group. The findings showed that argument-based inquiry applying peer assessment activities had an effect on the argumentation skills in students' writing.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.324-333
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• 2018

The aim of this study was to investigate the latent classes and predictors of chronic diseases such as hypertension, dyslipidemia, arthritis, thyroid disease, depression, atopy, allergy, and diabetes. The subjects of this study were Korean citizens who participated in the Korea National Health and Nutrition Examination Survey in 2014. Stratified cluster sampling method was used with a sample size of 7,550. Latent hierarchy analysis was applied to this data. Four classes were identified. Class 1 consisted of participants with hypertension and diabetes. Class 2 consisted of participants with atopy and allergies. Class 3 consisted of participants with dyslipidemia, arthritis, thyroid disease, and depression. Class 4 consisted of participants without any chronic diseases. In comparing Class 1 to Class 4, age, physical activity, self-management, obesity, and presence of high cholesterol were found to be significant. In comparing Class 2 to Class 4, gender, age, and education level were significant. When Class 3 was compared to Class 4, gender, age, pain and discomfort, as well as high cholesterol were found to be significant. Diabetes and hypertension should be treated as comorbid conditions, applying integrated treatments involving effective drug treatment, diet, and physical activity programs. Atopy was found to be strongly correlated with allergies. Thyroid disease was found to coexist with dyslipidemia and arthritis, along with having a strong correlation to depression. Age-appropriate preventive measures can help reduce the risk of chronic diseases.