Kim, Byung-Yong;Weon, Hang-Yeon;Park, In-Cheol;Lee, Sang-Yeob;Kim, Wan-Gyu;Song, Jae-Kyeong
Korean Journal of Soil Science and Fertilizer
/
v.44
no.6
/
pp.1169-1175
/
2011
The soil chemical properties, microbial community structures and biochemical properties of lettuce or cucumber-cultivated greenhouse soil samples were analyzed to assess soil health and characterize microbial distribution in 8 locations in Korea. Although most of chemical properties were within the soil management guidelines, the available phosphate, and the contents of exchangeable potassium and calcium were higher than those of recommended levels. In the culture-dependent analysis, 841 bacterial strains were isolated from the greenhouse soils and were identified at the genus level by 16S rRNA gene sequences analysis. The dominant bacterial genera were Bacillus (35.7%), Microbacterium (9.3%), Arthrobacter (5.7%) and Lysobacter (5.1%). The abundance of pseudomonads was highly variable depending on the soil samples. In the culture-independent analysis, soil microbial community was investigated by using phospholipid fatty acid (PLFA) method. Principal component analysis (PCA) showed that a specific grouping for microbial community structure in the greenhouse soils was not observed based on cultivated crops and investigated sites. The results revealed that the greenhouses soils examined are relatively sound managed in terms of soil chemical contents and microbial properties.
Kim, Moon-Il;Lee, Woo-Kyun;Kwon, Tae-Hyub;Kwak, Doo-Ahn;Kim, You-Seung;Lee, Seung-Ho
Journal of Korean Society of Forest Science
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v.100
no.3
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pp.374-381
/
2011
The purpose of this study is to examine the possibility of early detection of Pine Wilt Disease (PWD) using NDVI (Normalized Difference Vegetation Index) from ADC (Agricultural Digital Camera) imageries. The PWD induces the different patterns of reduction of NDVI between healthy trees and infected trees, due to the withered leaves on the infected trees. Based on these phenomena, the DI showing the NDVI variations of trees by time series was employed to detect the infected trees. To find out the differences of DI level between normal and infected trees, DIs of trees from May to August in 2007 were calculated and these were analyzed with GLM (General Linear Models) in SAS 9.2. As a result, the difference of DI between in June and August shows the most significant level (0.0001). The discriminant analysis was performed between normal and infected trees, using the DI of June and August. As the result, hit ratio of trees and the accuracy of grouping with Jack-knife method were shown 71.9% and 73.5%, respectively. These results showed that the DI is effective to detect the trees infected by the PWD and it is useful to prevent the PWD.
This paper presents a new approach for the automatic mapping of discontinuities in a tunnel face based on its 3D digital model reconstructed by LiDAR scan or photogrammetry techniques. The main idea revolves around the identification of discontinuity areas in the 3D digital model of a tunnel face by segmenting its 2D projected images using a deep-learning semantic segmentation model called U-Net. The proposed deep learning model integrates various features including the projected RGB image, depth map image, and local surface properties-based images i.e., normal vector and curvature images to effectively segment areas of discontinuity in the images. Subsequently, the segmentation results are projected back onto the 3D model using depth maps and projection matrices to obtain an accurate representation of the location and extent of discontinuities within the 3D space. The performance of the segmentation model is evaluated by comparing the segmented results with their corresponding ground truths, which demonstrates the high accuracy of segmentation results with the intersection-over-union metric of approximately 0.8. Despite still being limited in training data, this method exhibits promising potential to address the limitations of conventional approaches, which only rely on normal vectors and unsupervised machine learning algorithms for grouping points in the 3D model into distinct sets of discontinuities.
Journal of The Korean Association For Science Education
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v.28
no.1
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pp.75-88
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2008
The purpose of this study was to understand the factors affecting interactions as well as the students' learning process in small group activities. For this purpose, the changes and characteristics of students' interactions in scientific inquiry experiments were analyzed. This study focused on 2 homogeneous small groups of eighth graders. Students were involved in 13 inquiry experiments for one year and students' interactions in each experiments were observed and recorded using video/audio and the data recorded were transcribed. The analysis of data was based on the method of making a note by looking on and listening to the data repeatedly. Changes in the interactions of the two homogeneous groups differ remarkably. In small group A, owing to the conflicts of students' emotions, learning through social interactions became to be impossible. On the other hand, the interactions in small group B became more active. It seems that this changes are affected largely by the existence of peers who are able to mediate different opinions or feelings among group members. In general, middle school students were poor at receiving peers' opinion, cared a lot about writing reports. The less able students tended to be placed at a disadvantageous position in experiment lessons emphasizing social interactions. Four factors that affected the change of interactions were identified: Is the aim of experiments the understanding or completion of report? Is there any attitude towards peers' suggestions? Is there a disposition to care about peers? Is there any peer to mediate on peers' opinions or feelings? Educational implications of the progression of activities emphasizing interactions and the organization of grouping were drawn.
The purpose of this study was to analyze health-related habits, weight control experience and body composition of 344 female students visiting nutrition counselling office. Dietary habits of the subjects were assessed by means of interview with questionnaire and nutrient intakes were evaluated by the simple dietary assessment method. Weight and height were measured to get body mass index(BMI) and waist-hip ratio and their body composition were measured by Inbody 3.0. The obtained results were as follows: 1) Among students, 14.5% were exercising on a regularly basis, of which the exercises were walking and gymnastic exercise(22.1%), jogging(14.1%), and rope-skipping(4.7%), 48.4% of students were little drinking and 30.5% were once a week and smokers were 4.1%. 2) 28.3% of students were little having breakfast and 15.1% were once or twice a week. Two third of total students were not having breakfast regularly. Also only 59.6% of students were having dinner everyday, which means many of them were even skipping dinner. The reasons why they were not having breakfast were because they don't have enough time to eat(66.0%) and for a diet(2.8%) and the reasons for skipping dinner were because they were not hungry(23.0%), for the weight loss(18.2%). It was shown that they would skip dinner rather than breakfast for a weight control. 51.6% of students were taking snack 1~2 times a day and 5.3% were having little snack. 55.4% of students were dining out once a day and 15.4% more am 2 times a day. 3) 46.7% of students were already experiencing weight control before visiting the counselling office. 78.5% of students tried on one kind of weight control method, 11.4% on two kinds, and 10.1 % on more than three kinds. The method they tried for a weight control most was the one food diet using egg, fruits and beans, which is the most popular among them, and the next were an aerobic exercise(23.6%). a diet tried by a famous entertainer (15.5%), and the fasting(14.5%). 4) The average BMI was 21.2 and the body fat rate was 28.1%. As a result of grouping BMI, 12.8% were underweight 67.6% normal weight 11.6% overweight and 8% obesity. Less than standard for the body fat rate were 0.6%, 50.6% standard, 48.5% more than standard. 49.2% of students as normal weight on a BMI were assessed the so-called "skinny obesity. 50% of consulted students situated fat intra-abdominally at the umbilical level(WHR>0.8). 5) The energy intake was 76.6$\pm$17.8% of RDA and constituent ratio of carbohydrate, fat and protein were 64.2$\pm$5.2%, 21.6$\pm$3.7% and 14.3$\pm$2.3%, respectively, which is little over of 20% of recommended ratio of fat. Protein and niacin intake were more than 90% of RDA and riboflavin and vit. C were taken more than 100% of RDA. But Fe intake was 69.4$\pm$19.3%, Ca 76.6$\pm$23.6%, which were the least constituents. There was not remarkable significance between energy intake and nutrient density based on the groups of underweight, normal weight, overweight and obesity of BMI. 6) It was shown that body fat rate had remarkably significant correlation(p<0.000) with BMI(r=0.760) and WHR(r=0.817) respectively, but body fat rate was more correlated with WHR than with BMI. There was not much significant difference between body fat rate and WHR whether they exercised or not. However. BMI was significantly higher in the exercise group because one who showed higher BMI started to exercise since they looked fat in appearance and perceived as they were fat. fat.
It is essential in various application areas of data mining and bioinformatics to effectively retrieve the occurrences of interesting patterns from sequence databases. For example, let's consider a network event management system that records the types and timestamp values of events occurred in a specific network component(ex. router). The typical query to find out the temporal casual relationships among the network events is as fellows: 'Find all occurrences of CiscoDCDLinkUp that are fellowed by MLMStatusUP that are subsequently followed by TCPConnectionClose, under the constraint that the interval between the first two events is not larger than 20 seconds, and the interval between the first and third events is not larger than 40 secondsTCPConnectionClose. This paper proposes an indexing method that enables to efficiently answer such a query. Unlike the previous methods that rely on inefficient sequential scan methods or data structures not easily supported by DBMSs, the proposed method uses a multi-dimensional spatial index, which is proven to be efficient both in storage and search, to find the answers quickly without false dismissals. Given a sliding window W, the input to a multi-dimensional spatial index is a n-dimensional vector whose i-th element is the interval between the first event of W and the first occurrence of the event type Ei in W. Here, n is the number of event types that can be occurred in the system of interest. The problem of‘dimensionality curse’may happen when n is large. Therefore, we use the dimension selection or event type grouping to avoid this problem. The experimental results reveal that our proposed technique can be a few orders of magnitude faster than the sequential scan and ISO-Depth index methods.hods.
To investigate the population dynamics and survival of Genus Vibrio, population densities of aerobic saprophytic bacteria and Vibrio groups were measured 4 times in the intertidal waters of the Yellow Sea near Kunsan from November, 1997 to June, 1998. The distribution of heterotrophic bacteria during the survey periods by plate count and direct count method ranged from 1.2$\pm$0.6$\times$10$^3$~2.0$\pm$1.5$\times$10$^4$CFU ml$^1$and from 6.0$\pm$4.0$\times$10$^{5}$ ~1.9$\pm$1.5$\times$10$^{7}$ cells ml$^1$, respectively. Vibrio groups were distributed in the range of 1$\times$10 and 6$\pm$2.2$\times$10$^2$CFU ml$^1$. The proportion of Vibrio groups to total heterotrophic bacteria was between 0.1 and 6% during the survey periods. A total of 51 isolates was obtained from TCBS agar plates and identified to species level by Biolog Identification System$^{TM}$. As a result, dominant genera were V, mediterranei, V aitguillarum, tr metschnikovii, and V. parahaemolyticus, and isolates were clustered into 26 groups based on the relatedness of average linkage clustering method at 70% level. As for the susceptibility of 51 isolates to 7 kinds of antibacterial agents (gentamicin, ampicillin, chlorarnphenicol, streptomycin, kanamycin, tetracycline, carbenicillin), 96% of isolates showed high resistance to more than one antibiotics and 65% of isolates contained a plasmid, of which size was observed greater than 12 kb, The number of cells of 3 tested strains (V. anguillarum, V. vulnificus, and V. metschnikovii) in filtered aged seawater decreased by approximately 1 to 5 orders of magnitude during 30-d incubation. In most cases, the numbers of cells decreased rapidly until day 3, then decreased slowly by day 30. The number of cells incubated at 15$^{\circ}C$ showed higher survival than those at 4$^{\circ}C$ and $25^{\circ}C$. These results may be considered for the basic supporting data in the risk assessment of vibriosis in summer.r.
The processing management forms of our country's filature factories in 1969 are summarized as follows. (1) About 80% of total cocoon collection is made within 5 days involving peak day, and 10% of cocoon collection is finished until 3 days before and after the peak day, (2) About 92% of alive cocoons transported on unpaved road, and about 40% of the cocoons purchased by all factories are loaded on trucks from common selling station which is far beyond 40km, therefore a new packing system of alive cocoons to drop the damage of cocoon qualities, should be taken. (3) 22% of all factories in our. country have only low-temperature cocoon drying machine. Therefore the installment of hot-air cocoon drying machine is required urgently. (4) In view of cocoon qualities in our country, the grouping method of cocoon for reeling. taken by about 50% of the factories at percent, which classify cocoons for reeling as high group (1,2,3,4 grades) and low group(5,6 grades), will have to be replaced by the method tat classify them high group (1,2 grades) middle group (3,4 grades), low group (5,6 grades). (5) The .ratio of cocoon assorting stood about 10% in multi-ends reeling, about 15% in automatic reeling, conclusively, the ratio of cocoon assorting for automatic reeling was higher tan that for multi-ends reeling. One person's ability for a day in cocoon assorting reaches to about 80-100kg. (6) Cocoon cooking condition requires the increase of the cooking time, the pressure and temperature used to be prolonged as much as the qualities of cocoons are material cocoon ior automatic and double cocoon machines are treated uncompletely. (7) Automatic silk reeling is being performed at 1-2$^{\circ}C$ lower in reeling water temperature and operated at about twice velocity. (8) The temperature and humidity of rereeling room stood at 25$^{\circ}C$, 67.2% R.H and 32.3$^{\circ}C$, 51.9% R.H of rereeling machine are showed, Average rereeling velocity is 233m/min and large reefs charged for one person are 7.5 reels and form of skein used in all factories is double skein. (9) About 73% of water sources for filature used under-earth water. About 48% of all filature factories in our country have not yet water purifying equipments. Installation of the equipment for these factories seems to be urgent, (10) Denier .balance, sizing reel, seriplane, are being used in most factories as self-inspection apparatus. (11) More than 90% of the factories use the vacum tank in rereeling process and about 20% of them use it in cocoon cooing process (12) Only 21% of the factories use chemicals in filature process. About all them use "Seracol 100" in cocoon cooking process and "Seracol 500" in rereeling process, (13) Above survey results explain each all factories show large difference in the processing management. Therefore, it is believed that intercommunication through seminar or technical exchange will contribute to the production evaluation of cocoon in our filature industry.
Epidemiological studies are important in both the prevention and treatment of mycobacterial infections. This study was initiated to establish the pulsed-field gel electrophoresis (PFGE) method, which are not yet extensively studied. The most apprpriate restriction endonucleases included DraI, AsnI, and XbaI. The optimal PFGE condition was different according to the enzymes used. Two stage PFGE was performed, in case of DraI first stage was performed with 10 seconds of initial pulse and 15 seconds of final pulse, while the second stage was performed with 60 seconds of initial pulse and 70 seconds of final pulse. The electrophoresis time for DraI-PFGE was 14 hours for each stage. Electrophoresis was performed for 22 hours, in case of XbaI, with 3 seconds of initial pulse and 12 seconds of final pulse. Electrophoresis was performed for 22 hours, in case of AsnI, with 5 seconds of initial pulse and 25 seconds of final pulse. In all cases the voltage of the electrophoresis was maintained constantly at 200 voltage. Standard mycobacterial strains, which included Mycobacterium bovis BCG, M. tuberculosis, and M. fortuitum, could not be differentiated by PFGE analysis. PFGE analysis was performed to differentiate 9 clinically isolated M. fortuitum strains using AsnI. All M. fortuitum strains showed different genotypes except 2 strains. Cluster analysis divided M. fortuitum strains into 2 large groups. PFGE analysis was performed to further differentiate M. fortuitum isolates using XbaI. The undifferentiated 2 M. fortuitum strains showed different PFGE patterns with Xba I. Cluster analysis of the XbaI-PFGE patterns showed more complex grouping than AsnI-PFGE patterns, which showed that XbaI-PFGE analysis was better than AsnI-PFGE in M. fortuitum genotyping. The top dissimilarity values of AsnI-PFGE and XbaI-PFGE were 0.74 and 0.75, respectively. This value was higher than that of arbitrarily primed polymerase chain reaction (AP-PCR) analysis and lower than that of restriction fragment length polymorphism (RFLP) analysis. This suggested that PFGE can be used as a supportive or alternative genotyping method to RFLP analysis.
Taxonomic and genetic analysis of Phytophthora species belonging to six different morphological groups (GI, GII, GIII, GIV, GV, GVI) was conducted using RAPD method. Amplified fragments ranged $0.3{\sim}3.2$ kb in their molecular weights. Among total of 145 bands, there were 109 polymorphic bands. Seven isolates of P. infestans showed high similarities of $0.92{\sim}0.99$, and P. infestans isolate 3 from potato showed similarities of $0.93{\sim}0.95$ compared with other P. infestans. Among isolates of P. capsici, similarities of $0.77{\sim}0.86$ were observed and they were grouped in 80% level. P. cinnamomi and P. cryptogea isolates which belonging to group GVI showed very similar RAPD fingerprinting pattern. Primers OPA-04, OPA-17, OPA-18, OPA-19, and OPB-12 showed high level of differences among the tested isolates in major bands and molecular weights. The similarity between the isolates was 0.67. P. megasperma and P. sojae in group GV showed similarity of 0.65. These two isolates showed big differences in single major band in reactions with primers OPA-08, OPA-17, and OPA-19. Phytophthora-specific and P. infestans-specific molecular markers were also selected with one of the random primers tested. In reaction with primer OPA-20, all the genus Phytophthora showed common band at 600 bp, and all the P. infestans isolates showed specific band at 680 bp. These markers can be useful for identification of Phytophthora speices or P. infestans. As a result, P. infestans isolated from tomato and/or potato can easily be differentiated from other Phytophthora species with this primer.
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