As the Fourth Industrial Revolution advances, smart factories have become a new manufacturing paradigm, integrating technologies such as Information and Communication Technology (ICT), the Internet of Things (IoT), Artificial Intelligence (AI), and big data analytics to overcome traditional manufacturing limitations and enhance global competitiveness. This study offers a comprehensive approach by evaluating both technological and economic performance of smart factory Research and Development (R&D) projects, addressing gaps in previous studies that focused narrowly on either aspect. The research combines Latent Dirichlet Allocation (LDA) topic modeling and Data Envelopment Analysis (DEA) to quantitatively compare the efficiency of various topics. This integrated approach not only identifies key research themes but also evaluates how effectively resources are utilized within each theme, supporting strategic decision-making for optimal resource allocation. Additionally, non-parametric statistical tests are applied to detect performance differences between topics, providing insights into areas of comparative advantage. Unlike traditional DEA methods, which face limitations in generalizing results, this study offers a more nuanced analysis by benchmarking efficiency across thematic areas. The findings highlight the superior performance of projects incorporating AI, IoT, and big data, as well as those led by the Ministry of Trade, Industry, and Energy (MOTIE) and small and medium-sized enterprises (SMEs). The regional analysis reveals significant contributions from non-metropolitan areas, emphasizing the need for balanced development. This research provides policymakers and industry leaders with strategic insights, guiding the efficient allocation of R&D resources and fostering the development of smart factories aligned with global trends and national goals.

Recently, there have been studies on space and time priority queues, where space priorities are given to a class of packets that are sensitive to loss, and time priorities to another class of packets that are sensitive to delay. However, these studies have been restricted to such models with push-out space priorities. In this paper, we extend the studies to the space and time priority M/G/1 model with partial-buffer-sharing (PBS) space priorities, where the whole buffer is divided into two regions: one is shared by packets of all classes and the other is dedicated only for packets of the higher space-priority class. Since the PBS space-priority mechanism can be implemented more readily in communication systems than the push-out one, there have been a lot of contributions on PBS space-priority queues. However, there are no contributions on space and time priority queues with PBS space priorities. To analyze the proposed queueing model, we first study the probabilistic structure of the service time of a packet, which is more involved to analyze than the push-out alternative because it may be divided into three different regimes: a regime (S-period) from the beginning of the service until the shared buffer region becomes full, a second one (P-period) from the end of the S-period until the whole buffer becomes full, a third one (F-period) from the end of the P-period until the end of the service. Using the distributions of the S-, P-, F-periods, we then construct and analyze the embedded Markov chain and the corresponding semi-Markov process governing the system state, and also derive system performance measures such as expected sojourn times and loss probabilities of different priority classes of packets. In numerical examples, we finally explore the effect of the shared buffer size, which is a major system control parameter of PBS priority queues, and the distributions of the service times of packets of different classes on the system performance measures.

Motivated by the effort of diagnostic interventions for EFL learners in Korean educational contexts, this study aims to identify heterogeneous L2 reading skill profiles among students attending the same school. Subsequently, it investigates the impact of learners’ L2 learning backgrounds on heterogeneity of these reading skills. Using Latent Profile Analysis on 234 vocational high school students, we identified four distinct profiles: Profile 1, severely weak L2 readers with very low decoding and syntactic knowledge; Profile 2, moderately weak L2 readers; Profile 3, above-average L2 readers; and Profile 4, fairly well-developed L2 readers with good vocabulary breadth. Multinomial regression analysis revealed that profile membership was significantly predicted by positive past learning experiences, extra-curricular English reading, and motivational attitudes. These findings underscore the significant heterogeneity in L2 reading skills within the seemingly homogeneous EFL group and highlight the critical association with past and current educational experiences, emphasizing the importance of tailored interventions based on individual learning histories.

In this study, simulated X-ray photoelectron spectroscopy (XPS) and Raman spectroscopy were utilized to differentiate the carbon nanoribbons (CNRs) and carbon nanobelts (CNBs) with different edges. CNRs, characterized by linear, extended π-conjugated systems, and CNBs, featuring closed-loop, cyclic structures, exhibit distinct bandgaps influenced by edge configuration and molecular structure. CNBs generally possess smaller bandgaps than GNRs due to enhanced π-conjugation and electron delocalization in their curved structures. Specifically, the bandgaps of zigzag-edged GNRs and CNBs are smaller than those of their armchair-edged counterparts. These differences in electronic states cause shifts in the position of the C1s XPS peaks. ANR and ANB exhibit lower binding energies (BEs) compared to ZNR and ZNB. The peak position differences, which are 1.3 eV between ZNR and ANR and 0.5 eV between ZNB and ANB, highlight how edge configuration can differentiate structures within the same ribbon or belt type. While ZNR and ZNB have nearly identical peak positions, rendering them hard to distinguish, the 0.9 eV difference between ANR and ANB allows for clear differentiation. In ZNR and ZNB, strong bands from C–H bending and C–C stretching were observed, with slight differences in band positions allowing for structural differentiation. In ANR and ANB, the Kekulé vibration band was most intense, appearing at lower wavenumbers in ANB. Additionally, ANB showed unique C–C stretching bands at 1483 and 1581 cm− 1, which were barely observed in ANR. This study lays the groundwork for future spectroscopic analysis of GNRs and CNBs.

Clinical pathology, including hematology and serum chemistry, is an important indicator of biological changes. Animals for inhalation studies are kept in specific chambers and require historical data for accuracy. Age-related characteristics are essential for interpreting experimental results. This study aimed to provide historical clinical pathology data and analyze age-related trends in these parameters. We collected hematological and biochemical parameters from control groups of male and female F344 rats in the 4-, 13-, 26-, and 52-week repeated inhalation toxicity tests. The number of F344 rats from collected control groups were 24, 60, 50, and 25 males and 25, 60, 50, and 25 females in the 4-, 13-, 26-, and 52-week studies, respectively. Mean comparison, correlation analysis and simple linear regression analysis was conducted to reveal age-related trends. Neutrophil count, eosinophil count, neutrophil percentage, monocyte percentage, total protein, albumin, triglyceride, total cholesterol (TCHO) showed increasing trends, whereas lymphocyte count, lymphocyte percent, platelet count, alkaline phosphatase, albumin/globulin ratio, and inorganic phosphate showed decreasing trends in both the mean comparison and regression analyses. TCHO was considered the most affected parameter by aging in both sexes based on statistical results. In this study, we presented clinicopathological data from F344 rats for inhalation toxicity studies. We confirmed aging trends in clinicopathological parameters and identified TCHO as the parameter most affected by aging in F344 rats. These results would be helpful for inhalation research using F344 rats.

본 연구는 1990년부터 2018년까지의 미국에 상장된 기업들의 기소 자료(Corporate Prosecution Registry)를 바탕으로 기업이 검찰에게 기소를 당했을 시 기업의 재무정책이 어떻게 영향을 받는 지 분석하였다. 먼저 일변량 분석을 통해 기소된 기업들이 주식 시장에서 음(-)의 매수 후 보유 (buy-and-hold) 주식 수익률과 높은 거래 회전율(turnover ratio)을 나타냈다. 더 나아가, 내생 성을 통제하기 위해 다변량 통계분석법 중 하나인 이중차분법(difference-in-differences) 모델을 활용하여 기소 시점을 기준으로 미국 기업의 주식시장에서의 위험도가 급격히 증가하고 현금보 유량이 늘어나는 것으로 나타났다. 또한, 재판 결과에 따라 기업들의 재무정책이 변하는 것을 확인 하였는데 벌금이 낮은 경우 기업들은 현금보유량을 다시 낮추지만 높은 경우에는 현금보유량을 유 지하고 자본지출을 줄이며 인수합병 활동도 줄이는 것으로 나타났다.

This study examines the effects of the TiO2 content and TiO2 position in the core or shell within tubular carbon nanofibers on the photocatalytic activity under visible light. Core–shell tubular carbon nanofiber composites whose cores are filled with TiO2 nanoparticles (PMTi(10)P) are fabricated through coaxial electrospinning and subsequent heat treatment. The PMTi(10)P composites with well-preserved TiO2 nanoparticles in the core part induce more oxygen vacancies, Ti3+ species, chemisorbed oxygen species, and anatase phases, significantly improving the photocatalytic performance. They act as photoelectron traps, allowing more photoelectrons and holes to participate in the photocatalytic reaction and extending the absorbance of TiO2 to the visible light region. The resulting PMTi(10)P photocatalyst exhibits excellent performance of 100% removal of methylene blue within 30 min and maintains nearly 100% removal of 15 ppm methylene blue over 10 regeneration cycles, indicating consistent and stable photocatalytic performance.

This study is a descriptive research study to confirmed the mediating effect of career adaptability in the relationship between growth mindset and career preparation behavior in order to improve the career preparation behavior of nursing students. The subjects of the study were second, third, and fourth year students attending nursing departments at two universities located in cities G and M.. The data were collected from May to June 2024. Analysis of the collected data was performed using descriptive statistics, Pearson correlation coefficient, and Baron-Kenny regression analysis. As a result of the study, first, growth mindset showed a positive effect(β=.397, p<.001) on career adaptability. Second, growth mindset showed a positive effect(β=.337, p<.001) on career preparation behavior. Third, growth mindset (β=138, p<.001) and career adaptability (β=.502, p<.001) each had a statistically significant impact on career preparation behavior. As a result, it was confirmed that career adaptability has a partial mediating effect between growth mindset and career preparation behavior. Therefore, it can be seen that the higher the growth mindset, the more career adaptability is promoted, which in turn promotes career preparation behavior. Based on these research results, in order to improve the career preparation behavior of nursing students, growth mindset and career adaptability should be promoted in the field of nursing education.

The purpose of the study was to develop clothing that enhances comfort for children using gastrostomy tubes while maintaining a design that is no different from that of non-disabled children. The discomfort experienced by children with gastrostomy tubes wearing regular daily clothing was investigated through medical papers and blogs of their parents. The designs were then created to address the issues. The results were as follows: Because the location of the gastrostomy tube is in the upper body, four types of clothing items were developed: one sweatshirt for boys, two one-piece dresses for girls, and one windbreaker suitable for both boys and girls. Considering practicality for children’s clothing, cotton fabric was prioritized. For sweatshirts and windbreakers, a patched pocket with a dog pattern was placed over the area containing the gastrostomy tube to hide it. Frills were used to conceal the gastrostomy tube in one-piece dresses and designed to allow easy access for eating or disinfecting the area. This study aimed to address the challenges children with gastrostomy tubes face when wearing the regular daily clothes of non-disabled children while also offering aesthetically pleasing designs that enhance convenience for those using gastrostomy tubes. We believe this study will not only raise public awareness of disabilities but also inspire research on future clothing for both children and adults using gastrostomy tubes.

In this study, ferric phosphate precursors were prepared by controlling precipitation time, and the resulting LiFe PO4 active materials were thoroughly investigated. Microscale LiFePO4 cathode materials, designed for high energy density at the cell level, were successfully synthesized through a 10 h co-precipitation. As the reaction time increased, smaller primary particles were aggregated more tightly, and the secondary particles exhibited a more spherical shape. Meanwhile, ammonia did not work effectively as a complexing agent. The carbon coated LiFePO4 (LiFePO4/C) synthesized from the 10 h ferric phosphate precursor exhibited larger primary and secondary particle sizes, a lower specific surface area, and higher crystallinity due to the sintering of the primary particles. Enhanced battery performance was achieved with the LiFePO4/C that was synthesized from the precursor with the smaller size, which exhibited the discharge capacity of 132.25 mAh ‧ g-1 at 0.1 C, 70 % capacity retention at 5 C compared with 0.1 C, and 99.9 % capacity retention after the 50th cycle. The better battery performance is attributed to the lower charge transfer resistance and higher ionic conductivity, resulting from smaller primary particle sizes and a shorter Li+ diffusion path.

Lithium-ion batteries are widely used in various advanced devices, including electric vehicles and energy storage devices. As the application range of lithium-ion batteries expands, it will be increasingly important to improve their gravimetric and volumetric energy density. Layer-structured oxide materials have been widely adopted as cathode materials in Li-ion batteries. Among them, LiNiO2 has attracted interest because of its high theoretical capacity, ~274 mAh g-1, assuming reversible one Li+-(de)intercalation from the structure. Presently, such layered structure cathode materials are prepared by calcination of precursors. The precursors are typically hydroxides synthesized by coprecipitation reaction. Precursors synthesized by coprecipitation reaction have a spherical morphology with a size larger than 10 μm. Spherical precursors in the several micrometer range are difficult to obtain due to the limited coprecipitation reaction time, and can lead to vigorous collisions between the precursor particles. In this study, spherical and small-sized Ni(OH)2 precursors were synthesized using a new synthesis method instead of the conventional precipitation method. The highest capacity, 170 mAh g-1, could be achieved in the temperature range of 730~760 °C. The improved capacity was confirmed to be due to the higher quality of the layered structure.

This review examines the microstructural and mechanical properties of a Ti-6Al-4V alloy produced by wrought processing and powder metallurgy (PM), specifically laser powder bed fusion (LPBF) and hot isostatic pressing. Wrought methods, such as forging and rolling, create equiaxed alpha (α) and beta (β) grain structures with balanced properties, which are ideal for fatigue resistance. In contrast, PM methods, particularly LPBF, often yield a martensitic α′ structure with high microhardness, enabling complex geometries but requiring post-processing to improve its properties and reduce stress. The study evaluated the effects of processing parameters on grain size, phase distribution, and material characteristics, guiding the choice of fabrication techniques for optimizing Ti-6Al-4V performance in aerospace, biomedical, and automotive applications. The analysis emphasizes tailored processing to meet advanced engineering demands.

Ainsliaea acerifolia leaves are registered with the Ministry of Food and Drug Safety as edible herbal materials in Korea, and research is underway to explore their potential in developing functional foods, cosmetics, and pharmaceuticals. In this study, we developed an analytical method using HPLC-DAD to quantify three key compounds—chlorogenic acid, isochlorogenic acid A, and 1,5-dicaffeoylquinic acid—in A. acerifolia leaves extract. This method has been optimized and validated for specificity, accuracy, precision, limit of quantification (LOQ), and linearity. The correlation coefficients (r²) for the calibration curves exceeded 0.9962. The limits of detection (LOD) and quantification (LOQ) were 0.3012 and 0.9128 μg/mL for chlorogenic acid, 0.1182 and 0.3582 μg/mL for isochlorogenic acid A, and 0.2342 and 0.7098 μg/mL for 1,5-dicaffeoylquinic acid, respectively. The net recovery rates for accuracy testing were 105.13% for chlorogenic acid, 105.37% for isochlorogenic acid A, and 100.37% for 1,5-dicaffeoylquinic acid. All parameters assessed with this newly developed method fell within the acceptable ranges specified by ICH guidelines. These findings demonstrate that the method is robust and reliable for accurately identifying and quantifying chlorogenic acid, isochlorogenic acid A, and 1,5-dicaffeoylquinic acid in both routine analysis and large-scale extraction process of A. acerifolia leaves.

본 연구는 영유아교사의 근무환경과 이직의도 관계를 알아보고 감정노동이 이 두 변수를 조절하는지 확인하는 데 목적이 있다. 연구를 위해 영유아교사 199명을 대상으로 빈도분석, 기술통계분석, 상관분석을 실시하였으며, 인구통계학적 주요변인의 차이검증을 위해 t-검증 (t-test) 및 일원분산분석(one-way ANOVA)을 실시하였다. 또한 감정노동 조절효과 검증을 위해 위계적 회귀분석과 단순기울기 분석을 적용하였다. 분석 결과, 근무환경의 하위 변인들은 감정노동의 내면적 행동에는 정적 상관관계를, 이직의도에는 부적 상관관계를 보여주었다. 영 유아 교사들의 감정노동은 표면적 행동과 내면적 행동에 정적 상관관계로 나타났으며 감정노 동의 표면적 행동은 이직의도와 정적 상관관계가 있는 것으로 나타났다. 낮은 물리적 환경과 대인관계에 기반 한 감정노동은 이직의도를 유도하지만 반면 감정노동은 근무환경과 이직의 도 간의 조절요인으로 작용하였다. 근무환경의 개선방안으로 영유아교사의 업무에 대한 코칭 개입 방법은 궁극적으로 이들의 이직의도를 낮추는 효과적인 방안일 수 있다. 즉 정서적인 지 지를 통해 스트레스적인 근무 환경을 정서 안정적이고 긍정적인 환경으로 변경하고, 물리적으 로 교재․교구비 지원, 근로시간 보장, 처우 개선을 통해 영유아 교사들의 근무환경에 대한 만족도를 높이는 것이 요구된다. 본 연구는 궁극적으로 코칭기법을 중심으로 교사 심리 상담 과 같은 정서적 지원프로그램을 제공하여 그들의 이직의도를 낮추는 방안을 제언한다.