Influenza A virus (IAV) causes respiratory disease in birds and mammals, including pigs and humans. Infection by IAV in pigs increases not only economic losses in the swine industry but also the emergence of novel IAV variants via gene reassortment, which is important due to the susceptibility of both birds and humans to IAV. This study provides serological data obtained during a study to detect IAV infections in pigs in the Republic of Korea during 2018 and 2019. A total of 1,559 samples were collected from 74 domestic pig farms. Hemagglutination inhibition (HI) assays were performed using the A/Swine/Korea/25-13(H1N1), A/Swine/Korea/E102 (H1N2), and A/Swine/Korea/Cy10/2007 (H3N2) viruses as antigens. The HI assay results showed that 266 of the 1,559 samples were seropositive (17.0%). Among these, H1N1, H1N2, and H3N2 comprised 7.3% (114), 6.0% (93), and 8.8% (137) of the 1,559 samples, respectively. Co-infections of H1N1/H1N2, H1N1/H3N2, H1N2/H3N2 and H1N1/H1N2/H3N2 were observed in 2.1% (31), 1.5% (23), 1.5% (24), and 0.8% (13) of the 1,559 samples, respectively. Interestingly, IAV infections were detected in all nine provinces of the country.

최근, 여러 분야에서의 AI가 빠르게 성장하였고 게임에서도 큰 발전이 있었다. 게임 AI에 대한 접근 방법은 여러 가지가 있다. 먼저 지도 학습 기반 접근 방법은 게임 플레이 데이터에서 학습하고, 플레이 행동을 흉내 낸다. 그러나, 지도 학습 기반 접근 방법은 입력 자질을 선형 조합하므로, 복잡한 문제에는 성능 향상에 한계가 있다. 선형 조합에 따른 성능 한계를 개선하기 위해, 딥 뉴럴 네트워크 기반 접근방법은 지역적 특성 및 전역적 특성을 개별적으로 각각 표현하기 위해 둘 이상의 뉴럴 네트워크를 사용한다. 그러나 딥 뉴럴 네트워크 기반 접근방법은 충분한 학습 집합이 필요하다. 학습 집합을 준비해야 하는 부담을 줄이기 위해서, 강화 학습 기반 접근 방식은 Agent가 먼저 Action을 하고 이에 따른 보상을 분석하여 학습한다. 즉, 이 접근방법은 Agent가 최대 보상을 받도록 학습한다. 본 논문에서는 강화 학습을 통해 여러 게임에서 학습하는 AI를 제안한다. 제안하는 AI 모델은 개별 게임에서 Local Agent가 플레이하고, 여러 Local Agent에서 Global Agent를 학습한다. 실험 결과, 한 게임에서 학습한 Agent는 학습했던 게임에서는 우수한 성능을 보여주었지만, 새로운 게임에서는 성능이 떨어졌다. 반면에, 두 게임에서 학습한 제안하는 Agent는 학습한 게임과 새로운 게임 모두에서 잘 적응했다.

우리나라에서 재배되고 있는 백합 구근의 대부분을 수입에 의존하고 있어 국내 품종을 개발하여 보급할 필요가 있다. 분화용 나팔나리 유전자원 ‘Ace’, ‘Nelli White’, ‘Mount Carmel’을 수집하여 1996년부터 2008년까지 자가수정을 실시하였다. 2014년에 자가수정 7세대 ‘ L2-127-1’과 ‘ L2-81-5’계통을 교잡하여 1대잡종 나팔나리 ‘White Eve’를 개발하였다. 분화용 나팔나리 일대잡종 ‘White Eve’는 백색의 나팔모양의 홑꽃으로 반점이 없으며, 식물체 당 개화수가 5.8개로 많은 편이며, 꽃의 직경이 13.1cm로 중간 정도이고 측향으로 개화한다. 초장은 40.9cm이고, 잎의 수는 32.8개이고, 잎의 길이는 13.5cm이며, 잎의 폭은 2.1 cm이다. 일대 잡종 ‘White Eve’는 대조품종인 ‘Mount Carmel’ 보다 화경이 크고 화수가 많아서 개화 기간이 길며 소비자 선호도가 높다.

In this paper, we propose English word display interfaces to improve short-term memory: a basic display, a rotation change display, a size change display, and a color change display. Using these display interfaces, we apply the word recall memory test to users. Experimental results show that the users recall more English words in the rotation change display and the color change display, as compared with the basic display and the size change display. Also, the users think that the rotation change display and the color change display are more helpful for short-term memory than the basic display and the size change display. It describes that the word display interface can have an influence on short term memory.

In this paper, we analyze user's manipulation and reaction in an accelerometer-based game interface, as compared with a touch joystick-based game interface. To roll the ball, the user carefully grabs and adjusts the smartphone with both hands in the accelerometer-based game interface; while the user very quickly clicks the up, down, left, right, buttons in the touch joystick-based game interface, because it is already familiar to the user. The accelerometer-based game interface is relatively more immersive and interesting than the touch joystick-based game interface; because the user gets more desired results by elaborately operating the game with both hands rather than by clicking the buttons with the thumb.

Entomopathogenic fungi have been studied to develop for biological control agents as an alternative to chemical control agents in insect pest management. Two Lepidopteran insects, Spodoptera exigua and Plutella xylostella, are serious insect pests infest various crops, but not effectively controlled by commercial chemical pesticides due to its high insecticide resistance. A fungal isolate was isolated from S. exigua larvae collected from green onion field in Andong, Korea. To identify the fungal isolate, 18srRNA sequence for internal transcribed spacer (ITS) and β-tubulin regions were sequenced. The ITS and β-tubulin sequence were highly matched to Beauveria bassiana and morphological characteristics also was fit to known B. bassiana. Finally, isolated fungus has identified as B. bassiana and named B. bassiana ANU1. The result of bioassay, median lethal concentrations were 2.7×103 and 0.9×103 conidia/ml and medial lethal times were 65.6 and 60.8 h to S. exigua and P. xylostella, respectively. B. bassiana ANU1 showed high pathogenicity to two insect pests from 20℃ to 30℃ at 50% relative humidity (RH) and more than 40% RH at 25℃ with 107 conidia/ml of concentration.

A xylan-decomposing Gram-positive bacterium, Cellulosimicrobium cellulans DY-8, was isolated from the gut of a wood-feeding longicorn beetle, Moechotypa diphysis. To amplify a partial fragment of the GH 10 β-1,4- xylanase (XylC) gene of strain DY-8, two degenerated oligonucleotide primers were designed based on strictly conserved regions (WDVVNE and ITELLDV) in the GH family 10 xylanolytic enzymes. The full gene (1488-bp) of XylC, which was predicted to encode a protein consisting of 495 amino acids with a molecular mass of 52.0 kDa and a calculated pI of 6.49, was cloned by repeated DNA walking and nested PCR protocols. The results of a protein blast survey showed that XylC was a β -1,4-xylanase comprised of an N-terminal catalytic GH10 domain (from Ser48 to Leu338) and a C-terminal RICIN domain (from Tyr359 to Leu492). This overall structure of XylC was 57% identical to that of Actinoplanes sp. SE50/110 β -1,4-xylanase (Accession number: YP_006265966), which has not yet been biochemically characterized.

A xylanolytic microorganism, strain DY-7, was isolated from the gut of the mole cricket, Gryllotalpa orientalis. The result of phylogenetic analysis based on its 16S rDNA sequence revealed that the isolate was a Gram-positive bacterium belonging to the genus Streptomyces. The cloned gene (1350-bp) encoding a GH family 10 β -1,4-xylanase (XylA) from Streptomyces sp. strain DY-7 was overexpressed in Escherichia coli BL21 and its gene products were characterized. The hydrolysis activities of rXylA and rXylAΔCBD II against xylosidic materials were maximum at pH 5.5 and 65oC. However, deletion of CBD II in the C-terminus region of XylA significantly increased the thermal stability of the enzyme at high temperatures above 50oC. The xylanolytic activity of rXylA was slightly enhanced in the presence of 1 mM Mn2+ and 5 mM sodium azide but it was completely inactivated by 1 mM Hg2+ and 5 mM N-bromosuccinimide. rXylA was capable of efficiently decomposing various xylosidic compounds, PNP-cellobioside, and PNP-xylopyranoside, whereas other hexose-based compounds were insensitive to the enzyme. The specific activities of rXylA toward oat spelts xylan and PNP-cellobioside were 649.8 U/mg and 328.1 U/mg, respectively. Enzymatic degradation of birchwood xylan and xylooligosaccharides (xylotriose to xylohexaose) resulted in the production of xylobiose (>75%) as the main hydrolysis product together with a small amount (4%<) of xylose as the final hydrolysis product.