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Minimum Raising Duration of Infant Rice Seedling for Machine Transplanting (벼 기계이앙용 어린모 최소 육묘기간)

  • Kim, Je-Kyu;Lee, Moon-Hee;Oh, Yun-Jin
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.37 no.1
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    • pp.59-67
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    • 1992
  • The duration of raising seedling of infant rice seedling(IRS) in machine transplanting is 8 to 10 days. This experiment was conducted to investigate the minimum duration of IRS's raising seedling and its method by the combination of several treatments such as plant growth regulator, root-break-seat and temperature. The rice seeds of Hwaseongbyeo was soaked in the solution of metalaxyl for 24 hours at room temperature. Metalaxyl (25% wettable powder), a fungicide, was used in 1, 000 times dilution as a promting substance on the root-mat formation of IRS. The application of fungicide in the nursery soil for the controlling of damping-off and physiologyical seedling rot was omitted due to the metalaxyl seed-soaking treatment. Seeding rate was 220g per seed tray (30$\times$60$\times$3cm). To promote the root-mat formation of IRS, the sheets of polyethylene vinyl and absorptive paper were placed bottom the seed tray. The root-mat formation of IRS was promoted at higher temperature and longer duration of raising seedling. The metalaxyl-treated seeds markedly increased the root length and rooting activity of IRS as compared with the control, thus the root-mat formation was excellent. The absorptive paper with polyethylene vinyl as root-break-seat showed a better root-mat formation compared with control, polyethylene vinyl, alone. The minimum duration of raising seedling of IRS was 5 days after sowing based on the root-mat formation and seedling height under the condition of metalaxyl seed treatment, absorptive paper with polyethylene vinyl as a root-break-seat and the raising seedling temperature 30/2$0^{\circ}C$ (day /night).

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Application of Matrix-assisted Laser Desorption/Ionization Time-of-flight Mass Spectrometry (Matrix-assisted Laser Desorption/Ionization Time-of-flight Mass Spectrometry의 활용)

  • Pil Seung KWON
    • Korean Journal of Clinical Laboratory Science
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    • v.55 no.4
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    • pp.244-252
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    • 2023
  • The timeliness and accuracy of test results are crucial factors for clinicians to decide and promptly administer effective and targeted antimicrobial therapy, especially in life-threatening infections or when vital organs and functions, such as sight, are at risk. Further research is needed to refine and optimize matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS)-based assays to obtain accurate and reliable results in the shortest time possible. MALDI-TOF MS-based bacterial identification focuses primarily on techniques for isolating and purifying pathogens from clinical samples, the expansion of spectral libraries, and the upgrading of software. As technology advances, many MALDI-based microbial identification databases and systems have been licensed and put into clinical use. Nevertheless, it is still necessary to develop MALDI-TOF MS-based antimicrobial-resistance analysis for comprehensive clinical microbiology characterization. The important applications of MALDI-TOF MS in clinical research include specific application categories, common analytes, main methods, limitations, and solutions. In order to utilize clinical microbiology laboratories, it is essential to secure expertise through education and training of clinical laboratory scientists, and database construction and experience must be maximized. In the future, MALDI-TOF mass spectrometry is expected to be applied in various fields through the use of more powerful databases.

Diagnosis of Seed Quality for Korean White Pine by Soft X-Ray Photographs (연(軟) X-선(線) 사진(寫眞)에 의(依)한 잣나무 종자(種子)의 품질진단(品質診斷))

  • Min, Kyung Hyun
    • Journal of Korean Society of Forest Science
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    • v.23 no.1
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    • pp.1-8
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    • 1974
  • The seed quality testing for Korean white pine (Pinus koraiensis), their pre-germination and embryo growing process were investigated and the abnormal embryo groups were discriminated by the use of soft X-ray photograph. The study results were as follows ; 1. The embryo reflection was clearly observed for air dried seeds (moisture content was 6.3%) at 30 sec, stratificated seeds at 60 sec (moisture content 24.0-36.0%) and immature seed (moisture content 41.0-64.0%) at 90sec., then the photographing variation for soft X-ray was the radiographing distance at 42cm focus M, voltage 19.5 K.V.P. and Ampere 8 mA. By the above result, the radiographing time for discriminating the embryo reflection was increased by the increase of moisture content in the seeds. 2. The embryo reflection could be clearly observed from the last ten days of June and the embryo length ratio to endosperm length was growing to 65% at the first ten days of September. By the result obtained the soft X-ray photograph was thought to be effective method for the study of inner morphology of seeds. 3. The clear reflection seeds for embryo and endorsperm were observed to 69.7% and the seeds were practically germinated to 75.2% The difference in number between the discriminated seeds by the soft X-ray photograph and the practically germinated seeds was only 6%. According to this results, the soft X-ray photograph was thought to be a effective methods for the germination diagnosis in the shortest time and with the exactness comparatively. 4. Because of the possibility of clearness for observation of pre-germination process, the soft X-ray photograph could be used for the study on the physiology of seed germination. 5. The frequency of abnormal embryos was observed of total 4.4% and their types and subtypes could be classified into twenty groups. Among these groups, single abnormal embryo type was divided into eight subtypes and observed of 2.0 percent, twin embryo was six subtypes and 1.8 percent, triple embryo was five subtypes and 0.5 percent, and inverse type was 0.12 percent.

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Echocardiographic Follow-up after Arterial Switch Operation for Transposition of the Great Arteries (동맥전환술을 시행한 대혈관전위 환자에서 심초음파를 이용한 술후 추적)

  • 한승세;정태은;이동협;오정훈;이정철
    • Journal of Chest Surgery
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    • v.34 no.10
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    • pp.754-762
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    • 2001
  • Background: To evaluate the efficacy of arterial switch operation for transposition of great arteries, serial echocardiographic studies were performed in 8 patients who underwent the surgery between 1989 and 1998 at Dept. of Thoracic & Cardiovascular Surgery, Yeungnam University Hospital in Daegu City, Korea. Material and Method: Follow-up period ranged from 6 months to 11 years(average of 4.1 years). Body weight ranged from 2.6kg to 4.8kg, with average of 3.6kg. 5 of 8 patients were preoperatively diagnosed as TGA+VSD, and 3 as TGA+IVS. LV function was evaluated by the measurement of LV shortening fraction, LVSTI, and LVEF. RVSTI was also measured. Postoperative function of valve and growth of great vessels were analyzed by the measurement of PSPGV, valvular regurgitation, LA/AO ratio, root dimension of aorta and pulmonary artery, comparing with the age matched controls, respectively. Result: LVEF had an average of 65.0+9.03% which is tended to increase serially. LVAOPG had an average of 15.9mmHg. RVPAPG, 27.5mmHg. From the measurement of aortic root dimension of 6 patients at end-systole, aortic root growth was assumed to increase more than the mean value of normal growth. PA root dimension at end-systole showed a similar growth progress when compared with age matched normal controls. Postoperative pulmonic valve regurgitation was noted in 5 of total 8 patients, in which 1 patient who showed grade 2 and 4 showed below grade 1. AR, in 6 patients and all grade 1 Except 1 patient, all the valvular regurgitations were below grade 1, which was presumed to be clinically insignificant.

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The Mid Term Clinical Result and the Risk Factor Analysis of Isolated Aortic Valve Replacement (단독 대동맥판막 치환술의 중기 성적과 그 위험인자에 대한 분석)

  • Park Jae-Min;Jun Hee-Jae;Yoon Young-Chul;Lee Yang-Hang;Hwang Yoon-Ho;Cho Kwang Hyun;Han Il-Yong
    • Journal of Chest Surgery
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    • v.38 no.2 s.247
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    • pp.110-115
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    • 2005
  • Background: The aims of this paper were to review the mid term clinical results and to analyze the preoperative risk factors of isolated aortic valve replacement (AVR). Material and Method: Between January 1992 and February 2003, 80 patients underwent isolated AVR. 58 were male and 22 were female patients, raging from 12 to 75 years of age (mean :$46.8{\pm}13.0$ years). 74 patients except one early death and 5 follow-up loss were contacted by OPD or by telephone. The mean duration of follow-up was $44.2{\pm}29.7$ months and the total cumulative period was 272.8 patient-year. Result: The complications in hospital occurred in 35 cases : 12 wound problems (11 superficial, 1 deep), 11 arrhythmias (9 temporary, 2 persistent), 3 low cardiac output, and so forth. The late deaths were 4 cases : the heart-related deaths were 2 cases ($0.7\%$ patient-year). Conclusion: The risk factors that influenced the early mortality and morbidity were older age (> 60 years)(p=0.04), poor preoperative NYHA functional class (> 3) (p=0.048), high preoperative serum creatinin level (> 1.2 mg/100 ml)(p=0.031), long operation time (aortic clamping time>90 min)(p=0.042). The same factors influenced the late mortality and morbidity. Freedom from valve-related complication was $86.4{\pm}5.3\%,$ actuarial survival rate were $96.8{\pm}2.3\%$ at 3 years and $90.8{\pm}4.6\%$ at 10 years.

Text Mining and Association Rules Analysis to a Self-Introduction Letter of Freshman at Korea National College of Agricultural and Fisheries (2) (한국농수산대학 신입생 자기소개서의 텍스트 마이닝과 연관규칙 분석 (2))

  • Joo, J.S.;Lee, S.Y.;Kim, J.S.;Shin, Y.K.;Park, N.B.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.22 no.2
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    • pp.99-114
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    • 2020
  • In this study we examined the topic analysis and correlation analysis by text mining from the self introduction letter of freshman at Korea National College of Agriculture and Fisheries(KNCAF) in 2020. The analysis items of the 3rd question were and the 4th question were the motivation for applying to college, the academic plan and the career plan. The text mining to the 3rd question showed that the frequency of 'friends' was overwhelmingly high, followed by keywords such as 'thought', 'time', 'opinion', 'activity', and 'club'. In the 4th question, keyword frequency such as 'thought', 'agriculture', 'KNCAF', 'farm', 'father' was high. The result of association rules analysis for each question showed that the relationship with the highest support level, which means the frequency and importance of the rule, was the {friend} <=> {thought}, {thought} <=> {KNCAF}. The confidence level of a correlation between keywords was the highest in the rules of {teacher}=>{friend}, {agriculture, KNCAF}=>{thought}. Also the lift level that indicates the closeness of two words was the highest in the rules of {friend} <=> {teacher}, {knowledge} <=> {professional}. These keywords are found to play a very important roles in analyzing betweenness centrality and analyzing degree centrality between keywords. The results of frequency analysis and association analysis were visualized with word cloud and correlation graphs to make it easier to understand all the results.

Arthroscopic Treatment for the Pigmented Villonodular Synovitis in the Knee (슬관절에 발생한 색소 융모 결절성 활액막염의 관절경적 치료)

  • Bae, Dae-Kyung;Cho, Nam-Su
    • Journal of the Korean Arthroscopy Society
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    • v.5 no.1
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    • pp.22-26
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    • 2001
  • Purpose : To confirm the efficacy of arthroscopic synovectomy fur the pigmented villonodular synovitis in the knee. Materials and Methods : Between October 1996 and February 2000, the arthroscopic synovectomy had been performed in six patients(six knee joints), whose diagnoses were confirmed by pathologist. All patients complained of painful swelling in involved knee and four of the six patients had trauma history. There were three male and three female patients. Average age was 35.8 years ranging from 16 to 67 years. Follow up period was average 22.7 months(range, $13\~53$ months). Results : According to arthroscopic findings, there were three localized forms and three diffuse forms. At their last follow-up examinations, all patients had improvement in pain, swelling and range of motion and there was no evidence of recurrence. Conclusion : Complete arthroscopic excision is the definitive treatment for localized pigmented villonodular synovitis and meticulous arthroscopic excision through all portals including posterior portal can be considered as a valid alternative to traditional open synovectomy for the patients with diffuse pigmented villonodular synovitis.

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MDP(Markov Decision Process) Model for Prediction of Survivor Behavior based on Topographic Information (지형정보 기반 조난자 행동예측을 위한 마코프 의사결정과정 모형)

  • Jinho Son;Suhwan Kim
    • Journal of Intelligence and Information Systems
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    • v.29 no.2
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    • pp.101-114
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    • 2023
  • In the wartime, aircraft carrying out a mission to strike the enemy deep in the depth are exposed to the risk of being shoot down. As a key combat force in mordern warfare, it takes a lot of time, effot and national budget to train military flight personnel who operate high-tech weapon systems. Therefore, this study studied the path problem of predicting the route of emergency escape from enemy territory to the target point to avoid obstacles, and through this, the possibility of safe recovery of emergency escape military flight personnel was increased. based problem, transforming the problem into a TSP, VRP, and Dijkstra algorithm, and approaching it with an optimization technique. However, if this problem is approached in a network problem, it is difficult to reflect the dynamic factors and uncertainties of the battlefield environment that military flight personnel in distress will face. So, MDP suitable for modeling dynamic environments was applied and studied. In addition, GIS was used to obtain topographic information data, and in the process of designing the reward structure of MDP, topographic information was reflected in more detail so that the model could be more realistic than previous studies. In this study, value iteration algorithms and deterministic methods were used to derive a path that allows the military flight personnel in distress to move to the shortest distance while making the most of the topographical advantages. In addition, it was intended to add the reality of the model by adding actual topographic information and obstacles that the military flight personnel in distress can meet in the process of escape and escape. Through this, it was possible to predict through which route the military flight personnel would escape and escape in the actual situation. The model presented in this study can be applied to various operational situations through redesign of the reward structure. In actual situations, decision support based on scientific techniques that reflect various factors in predicting the escape route of the military flight personnel in distress and conducting combat search and rescue operations will be possible.

Extension Method of Association Rules Using Social Network Analysis (사회연결망 분석을 활용한 연관규칙 확장기법)

  • Lee, Dongwon
    • Journal of Intelligence and Information Systems
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    • v.23 no.4
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    • pp.111-126
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    • 2017
  • Recommender systems based on association rule mining significantly contribute to seller's sales by reducing consumers' time to search for products that they want. Recommendations based on the frequency of transactions such as orders can effectively screen out the products that are statistically marketable among multiple products. A product with a high possibility of sales, however, can be omitted from the recommendation if it records insufficient number of transactions at the beginning of the sale. Products missing from the associated recommendations may lose the chance of exposure to consumers, which leads to a decline in the number of transactions. In turn, diminished transactions may create a vicious circle of lost opportunity to be recommended. Thus, initial sales are likely to remain stagnant for a certain period of time. Products that are susceptible to fashion or seasonality, such as clothing, may be greatly affected. This study was aimed at expanding association rules to include into the list of recommendations those products whose initial trading frequency of transactions is low despite the possibility of high sales. The particular purpose is to predict the strength of the direct connection of two unconnected items through the properties of the paths located between them. An association between two items revealed in transactions can be interpreted as the interaction between them, which can be expressed as a link in a social network whose nodes are items. The first step calculates the centralities of the nodes in the middle of the paths that indirectly connect the two nodes without direct connection. The next step identifies the number of the paths and the shortest among them. These extracts are used as independent variables in the regression analysis to predict future connection strength between the nodes. The strength of the connection between the two nodes of the model, which is defined by the number of nodes between the two nodes, is measured after a certain period of time. The regression analysis results confirm that the number of paths between the two products, the distance of the shortest path, and the number of neighboring items connected to the products are significantly related to their potential strength. This study used actual order transaction data collected for three months from February to April in 2016 from an online commerce company. To reduce the complexity of analytics as the scale of the network grows, the analysis was performed only on miscellaneous goods. Two consecutively purchased items were chosen from each customer's transactions to obtain a pair of antecedent and consequent, which secures a link needed for constituting a social network. The direction of the link was determined in the order in which the goods were purchased. Except for the last ten days of the data collection period, the social network of associated items was built for the extraction of independent variables. The model predicts the number of links to be connected in the next ten days from the explanatory variables. Of the 5,711 previously unconnected links, 611 were newly connected for the last ten days. Through experiments, the proposed model demonstrated excellent predictions. Of the 571 links that the proposed model predicts, 269 were confirmed to have been connected. This is 4.4 times more than the average of 61, which can be found without any prediction model. This study is expected to be useful regarding industries whose new products launch quickly with short life cycles, since their exposure time is critical. Also, it can be used to detect diseases that are rarely found in the early stages of medical treatment because of the low incidence of outbreaks. Since the complexity of the social networking analysis is sensitive to the number of nodes and links that make up the network, this study was conducted in a particular category of miscellaneous goods. Future research should consider that this condition may limit the opportunity to detect unexpected associations between products belonging to different categories of classification.