As competition among companies has intensified and the life cycle of products has been shortened, strong innovation is needed to meet consumers' needs. In addition, it is necessary to shorten the life cycle of the product and reduce the time required for technology development for the competitive advantage of the product. In particular, venture companies where new technologies and ideas are important require more innovative capabilities than others companies. Therefore, this study analyzed the impact of technology innovation capabilities (product development process capability, human resource capability and financial capability) on sales by technology development for small and medium venture companies and analyzed moderating effect of technology development period on the relationship between technology innovation capabilities and sales by technology development. The data of 'Small and Medium Business Technology Statistics' collected by the government every year were used for analysis. Technology-intensive ventures were extracted from this data. In addition, the moderating effect was analyzed through hierarchical regression analysis. This study shows that product planning capability, test capability, and R&D expenditure have a positive impact on sales by technology development. In this study, the product development period showed a positive moderating effect on product development capability and sales performance. On the other hand, the product development period showed a negative moderating effect on R&D expenditure and sales by technology development.

There is a growing interest in project management knowledge, project management information systems, and process improvement to systematically project execution in public sectors, achieve high performance and value, and increase the effectiveness of the overall industry. In particular, the software industry is a knowledge-intensive industry centered on professional manpower. This study examines the effect of the project managers' competences of regional SW promotion agencies on and project performance and the moderating effect of the level of project management maturity. We collected data using a questionnaire to the project managers of regional SW promotion agencies. In this study, a structural equation model was used to analyze the relationship between project managers’ competences and performance. In addition, a multi-group structural equation model was used to analyze the moderating effect according to the high and low project maturity. As a result of the analysis, it was found that only contextual competence among the competences of the project manager had a positive effect on project performance. It was found that technical and behavioral competence did not have a positive effect on management and completion performance. It was found that the moderating effect according to the maturity of business management of local institutions was not significant.

This study investigates some of the implications for developing Achievement Standards (ASs) in 2022 national English curriculum by analyzing the perception of elementary and middle school teachers on the role of ASs in the 2015 national English curriculum. The major research areas were categorized into clarity, practical usability, and AS level and amount in the national English curriculum. Based on a survey of both descriptive and inferential statistics, the results of the current study demonstrated group differences in specific subtopic questions. Teachers did not have positive perceptions regarding practical application and clarity, while they exhibited positive perceptions regarding the level and the amount of ASs. The survey also suggested alternative ways to improve clarity and practical application of ASs by strengthening the linkage between elements in the curriculum such as assessment methods and instructions and supplementary comments of Ass beyond clear presentation of the ASs.

The development of IOT technology and artificial intelligence technology is promoting the smartization of manufacturing system. In this study, data extracted from acceleration sensor and current sensor were obtained through experiments in the cutting process of SKD11, which is widely used as a material for special mold steel, and the amount of tool wear and product surface roughness were measured. SVR (Support Vector Regression) is applied to predict the roughness of the product surface in real time using the obtained data. SVR, a machine learning technique, is widely used for linear and non-linear prediction using the concept of kernel. In particular, by applying GSVQR (Generalized Support Vector Quantile Regression), overestimation, underestimation, and neutral estimation of product surface roughness are performed and compared. Furthermore, surface roughness is predicted using the linear kernel and the RBF kernel. In terms of accuracy, the results of the RBF kernel are better than those of the linear kernel. Since it is difficult to predict the amount of tool wear in real time, the product surface roughness is predicted with acceleration and current data excluding the amount of tool wear. In terms of accuracy, the results of excluding the amount of tool wear were not significantly different from those including the amount of tool wear.

This study examined teachers’ claims of entitlement in collaborative teaching sequences where the non-leading teacher enters into the domain of another teacher’s ongoing instructional business. The data involves video recordings of second-grade elementary Korean and American teachers co-teaching math and science lessons. The analysis reveals that directives were prevalent in teacher-teacher communication, and unilaterally involved the Korean teacher making corrective remarks of American teacher’s instructions or entering to take control of classroom management. The directives were also formulated as declarative interrogatives, proposals, and imperatives, which implied the Korean teacher’s high entitlement. Also when the Korean teacher’s directive was not met with immediate compliance, it escalated into a more demanding imperative. These findings reveal the differential institutional status and power balance between the two teachers and demonstrate the analytical gains of applying conversation analysis to co-teaching interactional data. Potential implications for teacher training are discussed in light of collegiality and complementary collaborative teaching.

With the wide availability of mobile devices, efforts to accommodate these technological devices have been made in pronunciation training. This study aimed to investigate the effectiveness of mobile apps in improving the perception and production of the English vowels, /o/ and /ɔ/, which are difficult to discriminate and produce for Korean learners of English. The participants were 24 college freshmen enrolled in a general English course. They shadowed the model pronunciation from the application and corrected their production after instant feedback from the automatic speech recognition application. Their perception was evaluated in the preand post-tests, and the production was visually examined on the formant chart. The training was held for 5 minutes each day, for a month. The results showed that the training made positive effects on improving students’ perception of the target vowels. There was also some progress in their production although the improvement was not as noticeable as in perception. A discrepancy in the production was discovered between male and female participants with the latter performing better.

In today’s digital era, tablets are gaining popularity as reading devices. However, few studies have compared reading e-books on tablets with reading printed books and regular classroom instruction for language learning. To evaluate the role of tablets in reading and analyze the possibilities, the current study examined 97 elementary school students learning English as a foreign language in South Korea. These students were taught English once or twice a week for 11 weeks based on extensive reading using tablets (n = 42), printed books (n = 32), or regular textbook-based instruction as control (n = 23). The results indicate that literal level reading comprehension was improved the largest in the tablet group compared with the other groups. By contrast, improvements in inferential reading comprehension and grammatical knowledge were greater in those reading printed books than in the tablet group. The findings suggest that the print medium was superior for deep reading and digital texts were better for quick and shallow learning.

“문 없는 문”은 불교의 무문관에 나오는 공안이다. 연구자는 인간들이 공연히 문을 세우고 그 인위의 문을 통과하려고 애를 쓴다고 본다. 물론 인간이 사회적 동물이기에 그럴 수밖에 없을 것이다. 전통, 관습, 규범이 다 그런 것들이다. 데리다의 해체주의도 마찬가지다. 라캉의 말에 따라, 인간이 타자의 산물인데 어떻게 타자를 해체할 수 있단 말인가? 또 보르헤스의 말에 따라 나의 텍스트는 타자의 소산이 아니던가? 데리다가 말한 차이와 연기도 헤라클레이토스와 노자가 수 천 년 전에 이미 말하였다. 같은 물살을 두 번 체험할 수 없다고. 또 소쉬르의 기호학의 요지도 노자와 장자가 수 천 년 전에 도가도 비상도, 무위자연으로 이미 말하였다. 그래서 본고 에서 해체주의는 기존의 확립된 예이츠의 시 해석에 대한 새로운 의미의 생산에 일조 하려고 한다. 그것은 타자의 텍스트는 나의 텍스트이기에 타자의 텍스트를 해체한다는 말은 자기부정의 어불성설이기 때문이다. 데리다가 확립한 해체주의 또한 타자의 소산 으로 해체의 대상이 된다. 이런 점에서, 예이츠의 마스크 , 말씀 , 재림 을 분석한 결과 “마스크”의 불가피성, 언어게임으로서의 소통의 공식, 미래에 대한 비관적 전망 대신 기계적 낙관성을 진단하여 기존의 해석에 대한 [차연]을 실천해 볼 수 있다.

The formation of CaCO3 in microalgal culture is investigated and applied for effective separation of microalgae. The presence of several cationic ions in the culture medium mediates the formation of 3 types of mineral precipitates depending on the concentration of mineral precursors, Ca2+ and CO3 2−, amorphous nano-flakes, rhombohedral calcites, and spherical vaterites. While amorphous phased precipitates are formed for all concentrations of mineral precursor, only calcites are formed for 30 mM solutions of mineral precursor, and mixtures of calcites and vaterites are formed for 50 and 100 mM solutions of mineral precursor. The harvesting efficiency is also dependent on the concentration of the mineral precursor: from 90 % for 10 mM to 99 % for 100 mM after 60 mins’ of gravitational sedimentation. The formation of nano-flakes on the surface of microalgal cells induces the flocculation of microalgae by breaking the stable dispersion. The negatively charged surface of the microalgal cell is compatible not only with nano-flake attachment but also with the growth of calcitic crystals in which microalgal cells are embedded.

남아시아 지역 선박재활용에서 발생하는 인권침해 문제는 2000년 초반부터 지속적으로 제기되어져 왔다. 국제사회는 이러한 인권문제에 대응하기 위하여 선박재활용을 위한 선박수출을 바젤협약을 통해 규제해왔다. 그러나, 주요 해운선진국에 소재한 선주들은 바젤협약을 통한 규제를 편의치적 제도와 대리인을 통해 우회하여 제도권을 벗어난 선박재활용을 지속적으로 시행해 오고 있다. 따라서 본 논문에서는 현 제도의 한계점을 인식하고 선박재활용을 규제하기 위한 유엔인권법상 국가의무를 검토하였다. 실제, 유엔인권법은 인권침해를 야기하는 기업행위는 규제되어야 한다고 명시하고 있다. 이러한 유엔인권법상 의 규제제도는 과거 역사적인 이유로 주로 통치자 혹은 개인에게 주로 적용되어져 왔다. 하지만, 최근 다국적 기업의 인권침해 현상은 세계화와 더불어 급증하고 있으며, 이를 규제하기 위한 제도적 합의가 필요하기에 이르렀고, 유엔은 2011년 “인권과 기업에 관한 유엔인권지침”을 채택하였다. 동 지침은 유엔인권 법상 규정된 사항을 다국적 기업과 국가 관계에서 어떻게 적용할지를 다루는 법원칙을 서술하고 있다. 따라서, 남아시아에서 실시하는 대형선의 선박재활용이 대다수 다국적 해운기업의 요청에 따라 시작된다는 점에 착안하여 이러한 해운기업을 규제하기 위하여 유엔인권법상의 국가의무가 어떤 것이 있는지 본 논문에서 분석하였으며, 그리고 이러한 국가의 의무를 선박재활용과 관련하여 어떻게 적용할 수 있을 것인지 본 논문에서 살펴보았다.

Effects of growth variables and post-growth annealing on the optical, structural and electrical properties of magnetron-sputtered Ga0.04Mg0.10Zn0.86O films are characterized in detail. It is observed that films grown from pure oxygen plasma showed high resistivity, ~102 Ω·cm, whereas films grown in Ar plasma showed much lower resistivity, 2.0 × 10− 2 ~ 1.0 × 10−1 Ω·cm. Post-growth annealing significantly improved the electrical resistivity, to 4.3 ~ 9.0 × 10−3 Ω·cm for the vacuum annealed samples and to 1.3 ~ 3.0 × 10−3 Ω·cm for the films annealed in Zn vapor. It is proposed that these phenomena may be attributed to the improved crystalline quality and to changes in the defect chemistry. It is suggested that growth within oxygen environments leads to suppression of oxygen vacancy (Vo) donors and formation of Zn vacancy (VZn) acceptors, resulting in highly resistive films. After annealing treatment, the activation of Ga donors is enhanced, Vo donors are annihilated, and crystalline quality is improved, increasing the electron mobility and the concentration. After annealing in Zn vapor, Zn interstitial donors are introduced, further increasing the electron concentration.

In addition to physical risks such as electrical, chemical, and mechanic ones in the workplace, psychosocial risks are also raising as an important issue in recent years in connection with human rights and work-life balance policies. The purpose of this study is to confirm the degree of effect of the psychosocial risk management plan at the workplace on workers through logistic regression analysis. Input data for logistic regression analysis is the results of a survey of 4,558 people conducted by the Institute for Occupational Safety and Health were used. There are 9 independent variables, including the change a workplace and confidential counseling, and the dependent variable is whether the worker feels the effect on the psychosocial risk management plan. As a result of this study, changes in work organization, dispute resolution procedures, provision of education program, notification of the impact of psychosocial risks on safety and health, and the persons in charge of solving psychosocial problems are shown effective in reducing worker’s psychosocial risks. This study drives which of the management plans implemented to reduce the psychosocial risk of workers in the workplace are effective, so it can contribute to the development of psychosocial risk management plans in the future.

Meta-heuristic algorithms have been developed to efficiently solve difficult problems and obtain a global optimal solution. A common feature mimics phenomenon occurring in nature and reliably improves the solution through repetition. And at the same time, the probability is used to deviate from the regional optimal solution and approach the global optimal solution. This study compares the algorithm created based on the above common points with existed SA and HS to show advantages in time and accuracy of results. Existing algorithms have problems of low accuracy, high memory, long runtime, and ignorance. In a two-variable polynomial, the existing algorithms show that the memory increases and the accuracy decrease. In order to improve the accuracy, the new algorithm increases the number of initial inputs and increases the efficiency of the search by introducing a direction using vectors. And, in order to solve the optimization problem, the results of the last experiment were learned to show the learning effect in the next experiment. The new algorithm found a solution in a short time under the experimental conditions of long iteration counts using a two-variable polynomial and showed high accuracy. And, it shows that the learning effect is effective in repeated experiments.

This study employed a bibliometric method to visualize the evolution of corpus-based discourse studies between 1995 and 2019, with a total of 2,174 English-language documents and their 83,184 references collected from Scopus, the Social Science Citation Index, and the Arts & Humanities Citation Index. Co-citation analysis of the predominant authors, references, and publication sources disclosed that the field has expanded over the past 25 years from primary pattern analysis of descriptive and functional grammar to principal investigations of interdisciplinary issues, some of which are central to pragmatics and sociolinguistics. This shift of research focus is also evidenced by keyword analysis. Scholars have been progressively more fascinated by such social issues as news discourse, business discourse, gender and language, and identity. Some emerging topics like social media, media discourse, legal discourse, and the metadiscourse interpersonal model may represent research hotspots and trends in this area. Bibliometric approaches play an important role in providing hands-on evidence-based comparisons and visualizations of previous research outputs using different time bands.

Due to increasing awareness on the treatment of end-of-use/life products, disassembly has been a fast-growing research area of interest for many researchers over recent decades. This paper introduces a novel lot-sizing problem that has not been studied in the literature, which is the service-parts lot-sizing with disassembly option. The disassembly option implies that the demands of service parts can be fulfilled by newly manufactured parts, but also by disassembled parts. The disassembled parts are the ones recovered after the disassembly of end-of-use/life products. The objective of the considered problem is to maximize the total profit, i.e., the revenue of selling the service parts minus the total cost of the fixed setup, production, disassembly, inventory holding, and disposal over a planning horizon. This paper proves that the single-period version of the considered problem is NP-hard and suggests a heuristic by combining a simulated annealing algorithm and a linear-programming relaxation. Computational experiment results show that the heuristic generates near-optimal solutions within reasonable computation time, which implies that the heuristic is a viable optimization tool for the service parts inventory management. In addition, sensitivity analyses indicate that deciding an appropriate price of disassembled parts and an appropriate collection amount of EOLs are very important for sustainable service parts systems.

In marine ecosystems, the biosynthesis and catabolism of dimethylsulfoniopropionate (DMSP) by marine bacteria is critical to microbial survival and the ocean food chain. Furthermore, these processes also influence sulfur recycling and climate change. Recent studies using emerging genome sequencing data and extensive bioinformatics analysis have enabled us to identify new DMSP-related genes. Currently, seven bacterial DMSP lyases (DddD, DddP, DddY, DddK, DddL, DddQ and DddW), two acrylate degrading enzymes (DddA and DddC), and four demethylases (DmdA, DmdB, DmdC, and DmdD) have been identified and characterized in diverse marine bacteria. In this review, we focus on the biochemical properties of DMSP cleavage enzymes with special attention to DddD, DddA, and DddC pathways. These three enzymes function in the production of acetyl coenzyme A (CoA) and CO2 from DMSP. DddD is a DMSP lyase that converts DMSP to 3-hydroxypropionate with the release of dimethylsulfide. 3-Hydroxypropionate is then converted to malonate semialdehyde by DddA, an alcohol dehydrogenase. Then, DddC transforms malonate semialdehyde to acetyl-CoA and CO2 gas. DddC is a putative methylmalonate semialdehyde dehydrogenase that requires nicotinamide adenine dinucleotide and CoA cofactors. Here we review recent insights into the structural characteristics of these enzymes and the molecular events of DMSP degradation.