Recently, a number of researchers have produced research and reports in order to forecast more exactly air quality such as particulate matter and odor. However, such research mainly focuses on the atmospheric diffusion models that have been used for the air quality prediction in environmental engineering area. Even though it has various merits, it has some limitation in that it uses very limited spatial attributes such as geographical attributes. Thus, we propose the new approach to forecast an air quality using a deep learning based ensemble model combining temporal and spatial predictor. The temporal predictor employs the RNN LSTM and the spatial predictor is based on the geographically weighted regression model. The ensemble model also uses the RNN LSTM that combines two models with stacking structure. The ensemble model is capable of inferring the air quality of the areas without air quality monitoring station, and even forecasting future air quality. We installed the IoT sensors measuring PM2.5, PM10, H2S, NH3, VOC at the 8 stations in Jeonju in order to gather air quality data. The numerical results showed that our new model has very exact prediction capability with comparison to the real measured data. It implies that the spatial attributes should be considered to more exact air quality prediction.

Hay-making is one of the most common way for forage preservation in livestock industry. The quality and production of hay could be affected by various factors. This experiment was conducted to investigate the effect of tedding time and frequency on drying rate and feed value of forage rye (Secale cereale L.) hay. Rye was harvested on heading stage using mower conditioner. Hay was tedded at each set hour(09:00, 13:00 and 17:00) and sampled at each set hour to determine dry matter (DM) content. After two months’ preservation, CP (crude protein), ADF (acid detergent fiber), NDF (neutral detergent fiber), IVDMD (in vitro dry matter digestibility), TDN (total digestible nutrient), RFV (relative feed value), DM loss, visual scores and total fungi count were determined for estimation of hay quality. Tedding was necessary for both speeding up drying rate and improving forage quality. Tedding at 17:00 showed lower NDF content (p<0.05), and also higher RFV value was found compared with tedding at 9:00 and 13:00 (p<0.05). On the other hand, it was observed that more DM losses would be found when tedding later (p<0.05). Tedding in 1~3 times per day were lower in ADF and NDF content (p<0.05), increased CP, TDN and RFV (p<0.05), got less DM loss (p<0.05), and contained less fungi during conservation compared with no tedding (p<0.05). On the other hand, tedding too frequent caused more DM loss (p<0.05). In conclusion, for shorter drying process and higher quality of forage rye hay, tedding at 13:00∼17:00 for 1∼2 times per day was recommended in this study.

In this study, activated carbon with well-developed mesopores was fabricated using kenaf short fibers as a representative biomass. Concentrated phosphoric acid was selected as an activation agent to create highly developed porous structures, and pore development was observed to occur in relation to the weight ratio of phosphoric acid and kenaf. The pore characteristics of the kenaf-based activated carbon were determined using the N2/ 77K adsorption isotherm, and its microcrystalline structure was analyzed using X-ray diffraction. The highest specific surface area (1570 m2/g) was observed when the weight ratio of phosphoric acid to kenaf was 3:1, and the highest mesopore fraction (74%) was observed at 4:1. The carbonization yield was 45–35%, which is higher than that of commercial activated carbon. The production of porous carbon material by this method offers high potential for application because it can be controlled over a wide range of average pore diameter from 2.48 to 5.44 nm.

This study aims to investigate the effect of the core capability of products in eco-friendly stores on perceived CSR and consumers’ purchasing behavior. It is also to verify the moderating mediation effect of store type (multi-category store vs. single-category store). The results indicate that generally, in eco-friendly stores, consumers perceive the core competency of the products, which increases perceived CSR and purchasing intention. In the single-category store (i.e., fashion only) compared to the multi-category store (i.e., food and fashion), consumers perceive that the core capability and CSR are higher and thus they have higher purchase intention.

Many transcription factors are involved in directing the growth of porcine oocytes. The localization and expression level of a given transcription factor often differ at each stage of early embryonic growth, which spans from fertilization to the formation of the blastocyst. A hallmark of the blastocyst stage is the separation of the endodermal and mesodermal ectoderm. The embryo's medium and its effects are known to be crucial during early development compared to the other developmental stages, and thus require a lot of caution. Therefore, in many experiments, early development is divided into the quality of oocyte and cumulus cells and used in experiments. We thought that we were also heavily influenced by genetic reasons. Here, we examined the expression patterns of five key transcription factors (CDX2, OCT4, SOX2, NANOG, and E-CADHERIN) during porcine oocyte development whose expression patterns are controversial in the pig to the literature. Antibodies against these transcription factors were used to determine the expression and localization of them during the early development of pig embryos. These results indicate that the expressions of key transcription factors are generally similar in mouse and pig early developing embryos, but NANOG and SOX2 expression appears to show species-specific differences between pig and mouse developing embryos. This work helps us better understand how the expression patterns of transcription factors translate into developmental effects and processes, and how the expression and localization of different transcription factors can crucially impact oocyte growth and downstream developmental processes.

The Gwangneung arboretum, affiliated to the Korea Forest Research Institute, was established in 1987 and it became the Korea National Arboretum (KNA) in May 24, 1999. The entomological collection of KNA currently holds a total of 510,365 specimens of 6,849 species including more than 330 type specimens of Lepidoptera, Hemiptera, Hymenoptera, and Coleoptera are deposited. As the results of recent systematic studies by KNA entomologists, 67 new species were described, and 108 species were newly recorded from Korea and other countries. Not only we have conducted taxonomic studies but also have broaden our research boundary to natural enemy surveys for pine wilt disease vectors, plant and insect interaction, and exotic insect species monitoring. In this presentation, we would like to briefly introduce current entomological researches of KNA in the hope of future collaborations with other entomologists.