손끝은 최고의 촉각 센서이자 최고의 운동 기관이다. 많은 기술자들은 손끝의 감각에 의존하여 그들의 정확하고 숙련된 솜씨로 결과물을 만들곤 한다. 컴퓨터 게임 역시 섬세한 조작을 요구하는 분야임에도 불구하고 제작과 구현의 어려움 때문에 대부분의 게임 인터페이스들은 촉각이나 손이 나타내는 복잡한 표현들은 고려하지 않는다. 또한 VR이 빠르게 발전하고 있고 여러 종류의 가상 환경 몰입형 입력 장치들이 나타나고 있지만, 그들의 기술 수준은 게임 패드에 각종 센서가 추가된 정도에 머무르고 있다. 본 논문에서는 손가락의 위치를 통한 3D 인터페이스를 설계하는 방법론을 소개한다. 전통적으로 손을 인식하는 입력 방식에서는 주로 몇몇 제스쳐와 간단한 표현들을 인식하는데 그쳤으며, 상대적으로 미소한 손가락 관절의 움직임이나 손과 손 사이의 상호작용 등의 복잡한 제스쳐에 대해서는 전혀 고려하지 못하고 있다. 본 방법론은 이러한 표현들을 어떻게 구현할 것인지 제시하며, 손가락의 위치나 각도 등 복합적인 데이터를 계산하여 의미 있는 정보들을 도출해낼 수 있게 한다. 또한 실험을 위해 구현된 간단한 프로그램에서는 구체적으로 어떻게 작동하는지와 무엇을 표현할 수 있는지 보여준다. 이를 통해 3D와 몰입형 가상 환경에서 손이 나타내는 복잡한 표현들을 구현하는데 적용될 수 있을 것으로 예상된다.

We studied the infection rate of and various metacercariocidal approaches to controlling Gymnophalloides seoi for prevention of human infection in cultured and natural oysters in Korea. The selected survey areas were Aphae-do (Shinan-gun, Jeollanam-do), which is an endemic area for G. seoi, and Tongyeong (Geonsangnam-do), which is the main production area of oysters in Korea. In the Tongyeong area, the metacercariae of G. seoi were not detected in cultured oysters (0/201) or wild oysters (0/134). Seventy-two G. seoi metacercariae were observed in 33 of 265 natural oysters collected from Aphae-do; however, metacercariae were not detected in the cultured oysters (0/1101) purchased from the Daejeon Fish Market. To investigate the viability of G. seoi metacercariae, various metacercariocidal treatments were used with 3.5% saline and oyster juice used as positive controls. The metacercariae survived for 75.4 h in 3.5% saline and 112.6 h in oyster juice. After the metacercariocidal treatment, G. seoi metacercariae were survived for 13.29 min in tap water, < 20 sec in 4.3% vinegar, no effect in a rinse of the whole oyster body in 70°C water for 1 sec, but 1 sec in a rinse of the whole oyster body in 90°C water for 1 sec. The greatest metacercariocidal effect on G. seoi was from rinsing oysters in 90°C water followed by those from treatment with 20% ethyl alcohol, 4.3% vinegar, and tap water. However, we suggest that the most actual prevention to G. seoi human infection is rinsing the oysters with tap water for at least 30 min.

This study assesses of efficiency of oocyte recovery and in vitro development for during the non breeding season in goat. Thirty-four matured goats, maintained in a pen under natural day length and fed hay ad libitum, were pretreated with progestagen implanted CIDR for 10 days. Superovulation treatment of the goats received twice daily intramuscular injections of a total of 70 mg FSH for 3 days from Day 8 of CIDR. All the gonadotropin treated goats were injected with 10 mg PGF2α on Day 8 and 400～600 IU hCG in the afternoon on Day 10. Oocytes were recovered by follicle aspiration or oviduct flushing at 35 to 40 h after hCG injection through mid-ventral incision. The in vivo matured oocytes were activated by ionomycin (5 min) and 6-DMAP (3.5～4 h). The activated oocytes were cultured in mSOF medium containing 0.8% BSA at 38.5℃ in an atmosphere of 5% CO2, 5% O2, 90% N2 for 7～8 days. There was no significant difference in the mean number of CL and in vivo matured and follicular oocytes recovered. But, quality of I+II grade follicular oocytes was lower (p<0.05) in the prepubertal goat (25.0%) than the adults (52.4%). The same results were also observed in the cleavage and blastocyst rate of activated oocytes. The clavage and blastocyst rate from prepubertal derived oocytes were lower (p<0.05) in the prepubertal goat (54.5%, 23.3%) than the adult goat (86.8%, 46.6%). Considering overall these results, we suggest that maturation of donor goats is a major factor affecting recovered oocytes quality and in vitro development of activated goat oocytes. There was no significant difference in oocyte quality between seasonal treatments.

Background : Momordica charantia L. (M. charantia) is a member of the family Cucurbitaceae, used as a medicine herb in traditional medicine. In this study, we present the sequencing, de novo assembly and analysis of the transcriptome of M. charantia and provide a global description of relationship between putative phenylpropanoid and flavonoid biosynthesis genes and alteration of phenylpropanoid and flavonoid content during different organs and plantlet of M. charantia. Methods and Results : The transcriptome of M. charantia was constructed by using an Illumina Nexteseq500 sequencing system. Out of 68,073,862 total reads, approximately 88,703 unigenes were identified with a length of 898 bp. Alternatively, transcriptomic data, 10cDNAs (McPAL, McC4H, Mc4CL, McCOMT, McCHS, McCHI, McF3H, McFLS, McDFR and Mc3GT) encoded phenylpropanoid and flavonoid biosynthetic genes. The expression levels and the accumulation of trans-cinnamic acid, benzoic acid, 4-hydroxyvbenzoic acid, p-coumaric acid, chlorogenic acid, caffeic acid, catechin hydrate, ferulic acid, and rutin were investigated in different organs and plantlets. Mainly, phenylpropanoids and flavonoids accumulated in leaves and flowers, whereas low levels accumulated in roots. Collectively, these results indicate that the putative McPAL, McC4H, McCOMT, McFLS, and Mc3GT might be key factors for controlling phenylpropanoid and flavonoid contents in M. charantia. Conclusion : In this study, we present the sequencing, de novo assembly and analysis of the transcriptome of M. charantia. We also compared gene expression and compound analysis of phenylpropanoid and flavonoid in different organs and plantlet of M. charantia. These results indicate that McPAL, McC4H, McCOMT, McFLS, and Mc3GT are key regulators of phenylpropanoid and flavonoid accumulation in M. charantia

Background : The genus of Mentha contains more than 25 species and has been used as cuisines, medicines, cosmetics, oral hygiene products, pharmaceuticals, pesticides, and flavor enhancing agent. Due to economical value of these species, many studies have identified and isolated the beneficial constituents such as flavonoids, terpenoids, and volatile compounds. In this study, the primary and secondary metabolites were investigated from the aerial parts of nine different Mentha species including peppermint (M. piperita), pennyroyal mint (M. pulegium), spearmint (M. spicata), horse mint (M. longifolia), water mint (M. aquatica), apple mint, pineapple mint (M. suaveolens), and chocolate mint, eau de cologne mint (M x piperita hybrids). Also, we reported the antioxidant properties using extracts of obtained plants. Methods and Results : In total, 67 metabolites were detected using gas chromatography time-of-flight mass spectrometry (GC-TOFMS). The difference among nine Mentha spp. by principal components analysis has been investigated. Various phenoilic compounds and carotenoids were characterized quantified in Mentha plants by HPLC. Of these, rosmarinic acid was found to be rich in most of this family. In addition, the highest content of riboflavin were indicated in spearmint. Moreover, the highest antioxidant activities (88.6 % 100 μl/ml in DPPH assay, 76.2% 100 μl/ml in hydrogen peroxide radical scavenging activity, and 0.076 absorbance in reducing power assay) have been shown in horse mint. Conclusion : We determined the differences in accumulation of primary and secondary metabolites (phenolic compound, carotenoid, and riboflavin) among nine Mentha species. Totally, 67 primary metabolites were identified and compared the difference by principal components analysis. Besides, horse mint has the highest and strongest antioxidant activities compared to others.

Background : Nasturtium officinale L. which is commonly known as watercress is aquatic perennial herb distributed to Europe, Asia, North and South America. It consist of various nutrients and beneficial compounds such as vitamin B and C, provitamin A, folic acid, carotenoids, glucosinolates, and minerals. Recent studies have demonstrated the biological properties that include antidiabets, antiinflammatory, antioxidative, and anticancer. In this study, the effects of light-emitting diodes (LEDs) on growth and development, accumulation of phenolic compounds and glucosinolates were investigated in watercress. Methods and Results : Length of shoot and root, and fresh weight of whole plants were measured every weeks (1 to 3 weeks) after sowing. These were significantly affected by different LED lights. Normally, length of shoot and fresh weight of white- and blue-light-radiated watercress were less than those of red-light-radiated watercress. Contents of phenolic compounds and glucosinolates were investigated in watercress under different LEDs treatment by HPLC analysis. Six phenolic compounds including catechin hydrate, chlorogenic acid, caffeic acid, p-coumaric acid, trans-cinnamic acid, and kaempferol were detected. Also, eight glucosinolates that include four aliphatic glucosinolates (glucoiberin, gluconapoleiferin, glucosiberin, and glucohirsutin), three indolic glucosinolates (4-hydroxyglucobrassicin, glucobrassicin, and 4-methoxyglucobrassicin), and one aromatic glusinolate (gluconasturtiin). Mostly, white light treatment led to the higher production of their compounds than those of red- and blue-radiated. Conclusion : It is concluded that different LED lights have effect on growth rates and secondary metabolites production. Red light caused vigorous growth of shoot and affected their fresh weights. In addition, the accumulation of each compounds was varied depending on light colours and time of harvest.

Background : Tagetes species which belong to Asteraceae show different characteristics including, bloom size, shape, color, plant size, and leaf shape. The color of Tagetes flowers ranging from white to dark orange is due to accumulation of different carotenoids, pathway intermediates, and amount of the same carotenoid. Methods and Results : The carotenoids were monitored in flower extracts from six cultivars of Tagetes that include three T. erecta cultivars, Discovery Orange (DO), Inca Orange (IO), and Inca Yellow (IY), and three T. patula cultivars, including Durango Bee (DB), Durango Yellow (DY), and Safari Red (SR) using HPLC analysis. It showed considerable differences in carotenoid composition depending on cultivars and types of carotenoids. The highest concentration of violaxanthin which represents orange color in plants was showed in IO, whereas the compound was not detected in DB, and DY. Yellow-colored cultivars such as IY, DB, and DY exhibited low levels of lutein. However, others that indicate orange color, DO, IO, and SR showed high levels of lutein. Also, similar pattern was found in the zeaxanthin measurements. α-carotene was significantly accumulated in SR compared to other cultivars. The highest amount of β-carotene was found in SR, followed by IO, IY, DO, DY and DB. Similarly, the highest and lowest amount of 9-cis-β-carotene was showed in SR and DB, respectively. Interestingly, all cultivars except SR in 13-cis-β-carotene showed the same pattern with β-carotene, but no detection indicated in SR. Conclusion : In this study, we determined the differences in carotenoid yields among six Tagetes cultivars. In total, seven carotenoids that include violaxanthin, lutein, zeaxanthin, α -carotene, β-carotene, 9-cis-β-carotene, and 13-cis-β-carotene were detected. Among them, all of the cultivars accumulated primarily lutein. In addition, contents of each carotenoid varied in these flowers depending on cultivars.

Background : Plants live in restricted spaces that are constantly exposed to various environmental stresses. Under these stressful conditions, plants lead to biosynthesize specialized metabolites to adapt to environmental stresses. Here we investigate the effects of cold on the metabolome of tartaty buckwheat, focusing the flavonoid biosynthetic pathway. Methods and Results : From the metabolic profiling based on the GC-TOF-MS analysis, we identified the effect of cold on forty-four metabolites, including sugars, amino acids, and organic acids. Most of sugars and sugar derivatives remain nearly unchanged or slightly decreased in the plants grown at 25 ºC, whereas sugar and sugar derivative contents of cold-treated plants significantly increased, excepting galactose. Some of amino acid and amino acid derivatives contents decrease in cold-treated plants, whereas organic acid derived from tricarboxylic acid (TCA) cycle were increased the cold-treated plants compared with the plants grown at 25 ºC. Particularly, the contents of two anthocyanins, cyanidin 3-O-glucoside and cyanidin 3-O-rutinoside, were significantly increased by cold treatment. Proanthocyanidins such as epicatechin and catechin were also significantly affected by cold. The expression of most flavonoid biosynthetic genes were significantly upregulated in cold-treated buckwheat seedling. Among the flavonoid biosynthetic genes, the expression of FtANS was notably upregulated in response to cold. Conclusion : By analyzing both primary metabolites and secondary metabolites of tartary buchwheat without or with cold, we showed that cold play a critical role in the modulation of the primary metabolites and flavonoid synthesis pathway in tartary buchwheat. Particularly, anthocyanin and proanthocyanidin biosynthetic pathways are strongly up-regulated in response to cold.

Background : Tagetes species which belong to Asteraceae show different characteristics including, bloom size, shape, color, plant size, and leaf shape. The color of Tagetes flowers ranging from white to dark orange is due to accumulation of different carotenoids, pathway intermediates, and amount of the same carotenoid. Methods and Results : The carotenoids were monitored in flower extracts from six cultivars of Tagetes that include three T. erecta cultivars, Discovery Orange (DO), Inca Orange (IO), and Inca Yellow (IY), and three T. patula cultivars, including Durango Bee (DB), Durango Yellow (DY), and Safari Red (SR) using HPLC analysis. It showed considerable differences in carotenoid composition depending on cultivars and types of carotenoids. The highest concentration of violaxanthin which represents orange color in plants was showed in IO, whereas the compound was not detected in DB, and DY. Yellow-colored cultivars such as IY, DB, and DY exhibited low levels of lutein. However, others that indicate orange color, DO, IO, and SR showed high levels of lutein. Also, similar pattern was found in the zeaxanthin measurements. α-carotene was significantly accumulated in SR compared to other cultivars. The highest amount of β-carotene was found in SR, followed by IO, IY, DO, DY and DB. Similarly, the highest and lowest amount of 9-cis-β-carotene was showed in SR and DB, respectively. Interestingly, all cultivars except SR in 13-cis-β-carotene showed the same pattern with β-carotene, but no detection indicated in SR. Conclusion : In this study, we determined the differences in carotenoid yields among six Tagetes cultivars. In total, seven carotenoids that include violaxanthin, lutein, zeaxanthin, α -carotene, β-carotene, 9-cis-β-carotene, and 13-cis-β-carotene were detected. Among them, all of the cultivars accumulated primarily lutein. In addition, contents of each carotenoid varied in these flowers depending on cultivars.

In order to improve rice dough functionality, we cloned 4 kinds of high-molecular-weight glutenin subunit (HMW-GS) genes from bread wheat, ‘Jokyeong’. Among them, we first examined Dx5 gene to generate marker-free transgenic rice for advanced quality processing of bread and noodles. The GluB1 promoter was inserted into binary vector for seed specific expression of the Dx5 gene. Two expression cassettes comprised of separate DNA fragments containing only the high-molecular-weight glutein subunit (HMW-GS) protein (Dx5) and hygromycin phosphotransferase II (HPTII) resistance genes were introduced separately to tumefaciens EHA105 strain for co-infection. Each EHA105 strain harboring Dx5 or HPTII was infected to rice calli at 3: 1 ratio of Dx5 and HPTII, respectively. Then among 66 hygromycin-resistant transformants, we obtained two transgenic lines inserted both with Dx5 and HPTII gene to rice genome. We reconfirmed integration of the Dx5 and HPTII genes into the rice genome by Southern blot analysis. Wheat Dx5 transcriptsin rice seeds was examined with semi-quantitative RT-PCR. Finally, the marker-free plants containing only Dx5 gene were successfully screened at T1 generation. This result also provides that co-infection system with two expression cassettes could be efficient strategy to generate marker-free transgenic rice plants.

Discovery, identification, and informatics of low molecular weight peptide are extensively rising in the field of proteomics research. In this study, we analyzed protein profiles to discover peptide based biomarker for twelve different soybean seeds with three different agronomic types using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). For optimization of SELDI-TOF MS in soybean seed proteome analysis, four different extraction buffers were tested with urea solubilization buffer, thiourea/urea solubilization buffer, phenol extraction buffer, and modified trichloroacetic acid (TCA)/acetone precipitation/urea solubilization extraction buffer. Two different type of ProteinChip arrays, cation exchange (CM10) and anion exchange (Q10), applied to profile peptides. Among the four different extraction buffers, phenol extraction was selected to protein extraction methodology. Numbers of detected peak cluster in twelve soybean seeds were 125 at CM10 and 90 at Q10 array in the mass range from 2 to 40 kDa. Among them, 82 peak clusters at CM10 and 33 peak clusters at Q10 array showed significantly different peak clusters at p<0.00004 (CM10) and p<0.00005 (Q10) among twelve different soybean cultivars. Moreover, 29 peak clusters at CM10 and 17 peak clusters at Q10 array were detected in all cultivars as an ‘universally existed peptide’. In comparison with three different agronomic types, total of 55 peak clusters (CM10) and 23 peak clusters (Q10) were significantly different peak clusters at p<0.00004 and p<0.0001, respectively. In these probability levels, soybean seeds were well discriminated into different cultivar and different type with each other. Also we could find several specific peptide biomarkers for agronomic type.