The pear pest, Cacopsylla jukyungi (Hemiptera: Psyllidae), is one of the most damaging insect to commercial pears in South Korea. In this study, we developed eight microsatellite markers specific to C. jukyungi and genotyped 132 individuals collected from 11 localities throughout South Korea. Populations showed lower observed heterozygosity than expected heterozygosity and slightly or highly positive values of inbreeding coefficients, suggesting that C. jukyungi is subjected to inbreeding. The nationwide expansion of pear orchards and the replacement with a popular new cultivar during the last 50 years, which may have accompanied the spread of C. jukyungi-bearing pear grafts and scions, are likely sources of such facilitated dispersal. Thus, a management strategy against unintended anthropogenic dispersal of the pear psyllid will be required for better control of C. jukyungi.

The body of knowledge from psychology has been useful to marketing for understanding consumer minds and behaviors (Jia et al., 2018). Daily activities, such as movie watching, grocery shopping, online shopping, drinking coffee (with friends or alone), and making an in-app purchases on social media, all involve consumption which is affected by the perceptions, attitudes, and behaviors of the decision maker (i.e., consumers). But when the ways in which we sense and interact with the world change, how does it shift our ways of communicating with each other and the processes of forming perceptions, attitudes, and behaviors?

High-entropy alloys (HEAs) are attracting attention because of their excellent properties and functions; however, they are relatively expensive compared with commercial alloys. Therefore, various efforts have been made to reduce the cost of raw materials. In this study, MIM is attempted using coarse equiatomic CoCrFeMnNi HEA powders. The mixing ratio (powder:binder) for HEA feedstock preparation is explored using torque rheometer. The block-shaped green parts are fabricated through a metal injection molding process using feedstock. The thermal debinding conditions are explored by thermogravimetric analysis, and solvent and thermal debinding are performed. It is densified under various sintering conditions considering the melting point of the HEA. The final product, which contains a small amount of non-FCC phase, is manufactured at a sintering temperature of 1250oC.

Periodontal disease is a chronic but treatable condition which often does not cause pain during the initial stages of the illness. Lack of awareness of symptoms can delay initiation of treatment and worsen health. The aim of this study was to develop and compare different risk prediction models for periodontal disease using machine learning algorithms. We obtained information on risk factors for periodontal disease from the Korea National Health and Nutrition Examination Survey (KNHANES) dataset. Principal component analysis and an auto-encoder were used to extract data on risk factors for periodontal disease. A synthetic minority oversampling technique algorithm was used to solve the problem of data imbalance. We used a combination of logistic regression analysis, support vector machine (SVM) learning, random forest, and AdaBoost to classify and compare risk prediction models for periodontal disease. In cases where we used principal component analysis (PCA) to extract risk factors, the recall was higher than the feature selection method in the logistic regression and support-vector machine learning models. AdaBoost’s recall was 0.98, showing the highest performance of both feature selection and PCA. The F1 score showed relatively high performance in Ada- Boost, logistic regression, and SVM learning models. By using the risk factors extracted from the research results and the predictive model based on machine learning, it will be able to help in the prevention and diagnosis of periodontal disease, and it will be used to study the relationship with various diseases related to periodontal disease.

Royal jelly (RJ) is a gelatinous substance that bees produce to feed bees and queen bees. It’s frequently sold as a dietary supplement to treat a variety of physical ailments and chronic diseases. While it has long been used in traditional medicine, its applications in Western medicine remain controversial. The inhibitory effect of royal jelly on osteoarthritis was investigated in primary cultured rat cartilage cells and monosodium-iodoacetate (MIA)-induced arthritis rat model 10-hydroxy-2-decenoic acid (10-HAD) is the main fatty acid present in RJ. Among the criteria for RJ quality analysis, 10-HAD content has been proposed as a freshness parameter. We investigated the effect of RJ on the improvement of osteoarthritis on SD rats and they were divided into five groups. In this study, we examined the effect of enzymatic royal jelly (ERJ) administration on osteoarthritis. To determine the antiinflammatory effects of RJ, tumor necrosis factor alpha (TNF-α) and Interleukin-6 (IL-6) expression were measured after lipopolysaccharide (LPS) activation in RAW 264.7 cells. In in vivo animal study, osteoarthritis was induced by intra-articular injection of MIA into knee joints of rats. As a results, ERJ showed that TNF-α and IL-6 levels were decreased by ERJ treatment in a dosedependent manner. In conclusion, ERJ extract was able to inhibit articular cartilage degeneration by preventing extracellular matrix degradation and cartilage cell damage. It was considered that ERJ extract may be a potential therapeutic treatment for degenerative osteoarthritis.

The cotton bollworm, Helicoverpa armigera, is an economically important pest, which harms various kinds of important agricultural crops, such as tomato. The purpose of the present study was to investigate the effect of ionizing radiations (electron beam, X-ray, gamma-ray) on the development and reproduction of H. armigera and to determine the optimal dose of three ionizing radiations for the construction of quarantine technology applicable to tomato export.

The incidence of stomach cancer has been found to be gradually decreasing; however, it remains one of the most frequently occurring malignant cancers in Korea. According to statistics of 2017, stomach cancer is the top cancer in men and the fourth most important cancer in women, necessitating methods for its early detection and treatment. Considerable research in the field of bioinformatics has been conducted in cancer studies, and bioinformatics approaches might help develop methods and models for its early prediction. We aimed to develop a classification method based on deep learning and demonstrate its application to gene expression data obtained from patients with stomach cancer. Data of 60,483 genes from 334 patients with stomach cancer in The Cancer Genome Atlas were evaluated by principal component analysis, heatmaps, and the convolutional neural network (CNN) algorithm. We combined the RNA-seq gene expression data with clinical data, searched candidate genes, and analyzed them using the CNN deep learning algorithm. We performed learning using the sample type and vital status of patients with stomach cancer and verified the results. We obtained an accuracy of 95.96% for sample type and 50.51% for vital status. Despite overfitting owing to the limited number of patients, relatively accurate results for sample type were obtained. This approach can be used to predict the prognosis of stomach cancer, which has many types and underlying causes.

This study investigates the effects of the type of advertisement, brand extension, and consumer innovativeness on the credibility of fashion advertisements. The factorial design is constructed as a 2(type of fashion advertisement: general vs. cross-media) × 2(consumer innovativeness: high vs. low) × 2(the type of fashion brand extension: similar vs. dissimilar) three-way mixed design in which consumer innovativeness is the between-subjects variable. Subjects of this study included 210 men and women in their 20s and 30s who resid in Seoul and had SNS experiences. Frequency analysis, credibility analysis, three-way ANOVA, and simple interaction analysis were conducted using the SPSS 20.0 statistics package. The results are as follows: First, the type of fashion advertisement had a significant effect on advertising credibility. Cross-media advertisements had a more positive effect than general advertisements on all of the dependent variables. Also, the type of brand extension and consumer innovativeness showed significant effect on advertising credibility and the interaction effect between the type of fashion advertisement and consumer innovativeness was significant. Lastly, the effect of different types of brand extensions on advertising credibility showed a significant difference according to consumer innovativeness. Thus, a marketing strategy using cross-media advertising is proven to be effective in gaining consumer trust for a fashion brand.

Whitefly (Hemiptera: Aleyrodidae) pests, including the tobacco whitefly, Bemisia tabaci, and the greenhouse whitefly, Trialeurodes vaporariorum, are economically important in agriculture. With the annual growth of the domestic fresh fruit export market, various quarantine treatment methods are being used to export strawberries of better quality. The objective of the present study was to evaluate the effects of gamma rays on the development and reproductive sterility of B. tabaci and T. vaporariorum. In both species, the eggs were completely inhibited from hatching at 50 Gy, and the emergence of 3rd instar nymphs was completely suppressed at 150 Gy. Some adult B. tabaci and T. vaporariorum spawning occurred at 100 Gy and 70 Gy, respectively; however, at these irradiation levels, F1 hatchability was completely inhibited. Dosimetry results showed that the penetrating power of gamma ray in the strawberry-filled box was the lowest at the mid-box position. Therefore, B. tabaci and T. vaporariorum were placed in the middle of the strawberry-filled box and irradiated. A gamma-ray irradiation of 100 Gy suppressed the development and reproduction of eggs and adults in both B. tabaci and T. vaporariorum. However, the development of 3rd instar nymphs was inhibited at 300 Gy for B. tabaci and 200 Gy for T. vaporariorum. Our data suggest that at least 300 Gy should be used for the control of these two types of whitefly for strawberry export.

최근 봄철 기온이 높아짐에 따라 마늘 뿌리응애 피해가 늘어나고 있는 실정이다. 이러한 뿌리응애 피해를 최소하 하고자 발생양상과 22종의 약제에 대하여 살비효과를 조사하였다. 마늘 재배시기 중 뿌리응애의 발생은 충북 보은 등 5지역에서 2015년부터 2017년까지 3년간 3월부터 6월까지 뿌리응애 발생밀도를 조사하여 발생양상을 확인하였다. 뿌리응애는 2016년에 가장 많이 발생하였으며, 발생시기는 월동 후 3월 상순부터 발생하여 6월 중순경까지 지속적으로 밀도가 높아지는 양상을 나타내었다. 조사된 5지역 중 가장 높은 밀도로 조사된 보은지역은 6월 상순경 주당 13.3마리가 발생하였다. 뿌리응애에 대하여 우수한 살비효과를 나타낸 약제는 분무처리시 약제처리 10일 후에서 dimethoate, azocyclotin, abamectin, hexythiazox, cabosulfan, spirotetramat, benfuracarb가 90% 이상의 살비효과를 나타내었다