본 연구의 목적은 질적연구방법을 활용하여 스포츠 코치들이 어떠한 경험을 통해 코칭효능감을 느끼게 되었는지를 현상학적으로 탐구하고, 이를 통해 코칭효능감의 원천 요인을 도출하는 데 있다. 연구 목적을 달성하기 위하여 5년 이상의 경력을 가진 스포츠 지도자 15명을 유목적적 표집으로 선정하여 심층 면담을 실시하였고, 수집된 자료를 전사와 코딩, 범주화와 의미화 등의 질적 자료 분석 절차를 통해 분석하였다. 분석 결과, 코칭 성공 경험, 사회적지지, 코칭 관련 선수 경험, 코칭 전문지식, 선수 피드백 등 5개의 요인으로 스포츠 코칭효능감 원천 요인이 도출되었다. 도출된 원천 요인들은 코칭효능감 발달을 위한 교육적 기초자료로 활용될 수 있을 것이다.

생활체육 정책은 스포츠복지 정책의 개념적 범주에서 다루어질 필요가 있다. 스포츠복지의 개념을 넘어서 일반적인 복지의 중요한 부분으로 인식될 수 있어야 스포츠복지 정책이 가지는 효과성을 더욱 증대시킬 수 있다. 그리고 대상자인 국민에게 스포츠복지 정책을 효과적으로 전달하기 하기 위해서는 스포츠복지 정책이 다른 복지 서비스와 마찬가지로 국가적 차원의 전달체계 안에 편입될 필요가 있다. 본 연구에서는 스포츠복지 정책이 국가적 차원의 전달체계에 편입되는 방안 중 하나로 스포츠복지 거버넌스의 구성과 이를 총괄할 수 있는 스포츠복지 조직을 신설하는 복지전담 독립형 정책 모델을 제안하였다.

1. 전 세계 GM작물 재배면적은 매년 꾸준히 증가하여 2018년에는 191.7백만 ha에 도달하였다. 26개국에서 GM작물이 재배되고 있으며, EU 포함 44개국에서 식품, 사료 및 가공용으로 승인하였다. 2. 국내 농업용 GM작물 승인 현황 조사 결과, 2015년에 GM작물이 가장 많이 승인되었으며, 농업적 형질은 제초제내성에 이어 해충저항성이 많았다. 단일품목과 후대교배종을 포함하여 옥수수가 가장 많이 승인된 작물이며, 후대교배종 승인은 꾸준히 증가하여 승인된 전체 GM작물의 57%를 차지한다. 3. 승인된 GM작물의 형질은 농업적 유용 형질에서 소비자 중심으로 변화되고 있다. 제초제내성과 해충저항성과 같은 1세대 GM작물은 생산비 절감이나 수량 증가 등으로 농민에게 경제적 이익을 제공하였으며, 2세대 GM작물은 소비자들에게 더 많은 혜택을 제공하는 기능성 강화나 산업용 특성을 증가시킨 것이 특징이다. 4. 향후 농업인과 소비자 모두에게 이익이 되는 연구개발과 실용화 추진을 위해 미래 대응 GM작물 개발과 형질 예측에 필요한 산업 성장 추세 정보를 제공하였다.

An organophosphorus pesticide, ethoprophos, has been widely used in agriculture to control major insect pests. As ethoprophos is a well-known neurotoxin, its accumulation in soils and groundwater is concerning worldwide. In this study, we constructed an artificial ethoprophos-enrichment soil system, and its active concentration in soils was measured by gas chromatography on 15-days intervals during 90 days after ethoprophos treatment. Furthermore, the changes in bacterial community and microorganisms responsible for efficient bioremediation were investigated while ethoprophos was degraded in soils. From 15 to 60 days after the treatment, ethoprophos was actively degraded in soils and members of genera Collimonas and Sphingobium appeared dominantly in a natural microbial community especially in 60-days-after-treatment soil. We isolated a bacterium EP60845 from this soil sample, showing significant ethoprophos biodegradation activity in vitro. When we challenged EP60845 strain into ethoprophos-enrichment soils (250 mg/kg of soil), most ethoprophos was removed within 5-days. Phylogenetic 16S rRNA gene sequence analysis and biochemical properties by API 20GN kit demonstrated that the EP60845 strain was a novel Sphingobium sp., which could be used as an efficient ethoprophos- degrading agents for bioremediation purposes.

Riboswitches are structured RNA motifs that can directly bind specific metabolites. The binding of metabolites further regulates downstream metabolism eliminating the need for any regulatory proteins. We searched for novel bacterial vitamin B1 binding riboswitches in the metagenome of sun-dried saline soil. Soil microbial metagenomes were studied using NGS analysis. A total of approximately 50 Gb of the sequence data was obtained by Hi-seq and 454 GS FLX sequencing, and these sequences were subjected to riboswitch search. Hi-seq generated 614 contigs showing similarity to riboswitches, while 454-based sequencing generated 383 similar contigs. We matched whole metagenome contigs to local BLAST databases constructed using 91 previously known bacterial vitamin B1 thiamine pyrophosphate (TPP)-box motifs, and 11 SAM S-box motifs. Repetitive BLAST comparisons to local BLAST databases with nucleotide sequences from NGS identified 14 novel TPP-box motifs, and 7 S-box motifs respectively from the metagenome contigs. Further, RNA secondary structure analysis with public databases Rfam, and RibEx using these 21 riboswitch candidates revealed one contig, D8PYI to possess the most probable TPP-box structure. We constructed intragenic synthetic riboswitches to investigate whether the TPP-box motif region in D8PYI could harness gene expression in the presence of TPP. Construction of biosensors containing 100~400 bp fragments of D8PYI contigs, and in vivo imaging using the biosensors displayed TPP-specific changes in the expression of a green fluorescence protein reporter. In this regard, the adaptation of in silico riboswitch screening from environmental metagenomes could provide biosensors for detection of specific metabolites.

Plant-parasitic nematodes are the most devastating group of plant pathogens worldwide and are extremely challenging to control. In the present study, we have performed a genome wide analysis to identify common genes among four nematode species consisting of root-knot nematodes (Meloidogyne incognita and Meloidogyne hapla), cyst nematode (Heterodera glycines), and free living nematode (Caenorhabditis elegans) respectively. Using their whole genome sequences, we predicted 15,274 genes from M. incognita, 38,149 genes from M. hapla, 8,061 genes from H. glycines and 23,894 genes from C. elegans, where, among the predicted genes, 1,358, 1,350, 1,401, 1,365 respectively from each nematode, code for common groups of proteins. Further, 2,067, 2,086, 1,566, 2,903 genes were recollected using Clusters of Orthologous Groups (COG) database. Under our search criteria, a total of 800 common genes were identified in all the four studied nematode genomes. The most annotated conserved genes were obtained from four different species using Basic Local Alignment Searching Tool (BLAST). Uni- Prot Taxon identifier database was used to elucidate their taxonomic classification such as 698 genes under kingdom Metazoa, 660 genes confined to Nematoda, 290 genes in Chordata and 660 genes falling under class Chromadorea. The biochemical characterization of proteins expressed by these genes was examined using Pedant-Pro sequence analysis. The protein length, molecular weight, isoelectric point (pI), and transmembrane domain of the coded proteins were at a range of 300 to 999 amino acids (40.9%), molecular weight of over 100 kDa (96%), pI from 4.5 to 5.5 (27.6%) and 0 (56.6%), respectively. To classify protein function, the obtained BLAST hits were assigned to Gene Ontology classification scheme. The fractions of protein function were distributed as cellular component, biological processes and molecular function of the cell (22.2%), multicellular organism process (15.8%) and binding (48.3%), respectively. The current study provides an excellent resource for nematode functional genomics studies, which can be utilized further for studies on role of genes involved in nematode biological processes.

Human tissue-type plasminogen activator (t-PA) is responsible for fibrin-specific plasminogen activation and plays a key role in fibrinolysis thereby aiding breakdown of blood clots in the vasculature. In the present study, in order to develop a system for production of recombinant st-PA and t- PAHis6 proteins in transgenic rice seeds, a DNA fragment encoding t-PA gene was selected and cloned to a plant binary vector (pMJ21) harboring a rice GluB1 promoter, an N-terminal signal peptide of the rice glutelin B1 protein and a Pin II terminator. The constructed plasmid was transformed into Agrobacterium tumefaciens LBA4404 (pSB1) to facilitate introduction into rice callus. The insertion of the st-PA and t-PAHis6 genes into the genome of transgenic rice seeds and their transcripts were confirmed using PCR, and Southern blot as well as RT-PCR, respectively. The highest level of recombinant st-PA expression as determined by enzyme-linked immunosorbent assay (ELISA) was found to be 2,916 ng/total soluble protein (mg) in transgenic rice seeds. The amount of recombinant proteins expressed in transgenic plants was estimated to range from 634 ~ 2,916 ng/TSP mg (st-PA) and 925 ~ 2,640 ng/TSP mg(t- PAHis6), respectively. Immuno-blot analysis of transgenic rice seeds revealed single bands of approximately 68-kDa representing recombinant st-PA and t-PAHis6 proteins. These results demonstrate the expression and in vivo activity of recombinant st-PA and t-PAHis6 in transgenic rice seeds. This study is a promising endeavor for production of recombinant pharmaceutical proteins using rice seed system.

PURPOSES: The objective of this paper is to select the confidential intervals by utilizing the second moment reliability index(Hasofer and Lind; 1974) related to the number of load applications to failure which explains the fatigue failure and rut depth that it indicates the permanent deformation. By using Finite Element Method (FEM) Program, we can easily confirm the rut depth and number of load repetitions without Pavement Design Procedures for generally designing pavement depths. METHODS : In this study, the predictive models for the rut depth and the number of load repetitions to fatigue failure were used for determining the second moment reliability index ( ). From the case study results using KICTPAVE, the results of the rut depth and the number of load repetitions to fatigue failure were deducted by calculating the empirical predictive equations. Also, the confidential intervals for rut depth and number of load repetitions were selected from the results of the predictive models. To determine the second moment reliability index, the spreadsheet method using Excel’s Solver was used. RESULTS : From the case studies about pavement conditions, the results of stress, displacement and strain were different with depth conditions of layers and layer properties. In the clay soil conditions, the values of strain and stresses in the directly loaded sections are relatively greater than other conditions. It indicates that the second moment reliability index is small and confidential intervals for rut depth and the number of load applications are narrow when we apply the clay soil conditions comparing to the applications of other soil conditions. CONCLUSIONS : According to the results of the second moment reliability index and the confidential intervals, the minimum and maximum values of reliability index indicate approximately 1.79 at Case 9 and 2.19 at Case 22. The broadest widths of confidential intervals for rut depth and the number of load repetitions are respectively occurred in Case 9 and Case 7.

PURPOSES: This study is to predict the Sound Pressure Level(SPL) obtained from the Noble Close ProXimity(NCPX) method by using the Extended Kalman Filter Algorithm employing the taylor series and Linear Regression Analysis based on the least square method. The objective of utilizing EKF Algorithm is to consider stochastically the effect of error because the Regression analysis is not the method for the statical approach. METHODS: For measuring the friction noise between the surface and vehicle’s tire, NCPX method was used. With NCPX method, SPL can be obtained using the frequency analysis such as Discrete Fourier Transform(DFT), Fast Fourier Transform(FFT) and Constant Percentage Bandwidth(CPB) Analysis. In this research, CPB analysis was only conducted for deriving A-weighted SPL from the sound power level in terms of frequencies. EKF Algorithm and Regression analysis were performed for estimating the SPL regarding the vehicle velocities. RESULTS : The study has shown that the results related to the coefficient of determination and RMSE from EKF Algorithm have been improved by comparing to Regression analysis. CONCLUSIONS : The more the vehicle is fast, the more the SPL must be high. But in the results of EKF Algorithm, SPLs are irregular. The reason of that is the EKF algorithm can be reflected by the error covariance from the measurements.