Iron oxide (Fe2O3) nanoclusters exhibit significant potential in the biomedical and pharmaceutical fields due to their strong magnetic properties, stability in solutions, and compatibility with living systems. They excel in magnetic separation processes, displaying high responsiveness to external magnetic fields. In contrast to conventional Fe2O3 nanoparticles that can aggregate in aqueous solutions due to their ferrimagnetic properties, these nanoclusters, composed of multiple nanoparticles, maintain their magnetic traits even when scaled to hundreds of nanometers. In this study, we develop a simple method using solvothermal synthesis to precisely control the size of nanoclusters. By adjusting precursor materials and reducing agents, we successfully control the particle sizes within the range of 90 to 420 nm. Our study not only enhances the understanding of nanocluster creation but also offers ways to improve their properties for applications such as magnetic separation. This is supported by our experimental results highlighting their size-dependent magnetic response in water. This study has the potential to advance both the knowledge and practical utilization of Fe2O3 nanoclusters in various applications.

This study quantitatively evaluated size selectivity for three netting shapes (T0; regular, T45, T90) and hanging ratio (35%, 70%) of T0 netting used for trawl codend. The size selectivity experiment was performed in a tank using a cube experimental model with a length of 50 cm on one side and 389 experimental individuals, jack mackerel (Trachurus japonicus). In the selectivity analysis, a selectivity curve was created based on the selection ratio using a logistic function, and the 25%, 50%, and 70% selection length and selection range  were obtained. The T0 netting was 19.54 cm when the 50% selective length, which is a selectivity evaluation index, had a hanging ratio of 35%, a selection range of 0.51 cm, and 22.70 cm and 3.08 cm for the hanging ratio of 70%. The T45 netting was 24.34 cm and 2.13 cm, and the T90 netting was 23.51 cm and 2.84 cm. The results of the T45 netting and the T90 netting are similar, and the 50% selection length and selection range were relatively larger than the T0 netting. There was a significant difference in the correlation between the circumference of the inner circle of the mesh by the shape of the netting and the body girth of the experimental individual (Pearson test,      ). There was no significant difference in the correlation between the selection ratio by the T0 netting, T45 netting, and T90 netting with a 70% hanging ratio (one-way ANOVA,   ). The results of this study showed that selectivity such as T45 netting and T90 netting appeared when the hanging ratio, which maximizes the area of T0 netting, was maintained at 70%.

This study analyzed the presence and effect of sexual appeal of plus-size models using Victoria's Secret's Instagram content. A content analysis using roBERTa deep-learning model found that, plus-size models’ sexual appeals increased number of likes and comments, but explicit sexual appeals resulted in less positive sentiments than thin models’.

Social media influencers are becoming increasingly important to the advertising world. As individuals who use their extensive following to endorse products, create trends and ultimately drive purchase intentions, influencers are often seen as role models, especially as pertains to body image. As such, we conduct experimental research to examine how influencer size (0 vs. 14) affects attractiveness perceptions, perfectionist expectations, and purchase intentions. Drawing on self-determination theory we find that perfectionism toward others is the underlying mechanism for the effects of motivation and size. Societal and managerial implications are discussed.

Expanding exports of small and medium-sized companies is crucial for the continuous growth of the Korean economy. Therefore, the government operates various support systems to enhance the export capabilities of these companies. This study aims to analyze the impact of the Korean government's flagship export support system, known as the export initiation support system, on the performance of participating domestic companies. A fixed effect model using panel data was applied to examine the characteristics of 11,099 companies that participated in the export initiation support system from 2016 to 2019. The analysis revealed that the number of exporting countries, employees, and previous export volume had a significant impact on the export amount of participating companies. However, contrary to expectations, the number of overseas marketing participation and the GCL (global competence level) test did not show a significant impact. This study is significant as it provides implications for the development of support projects tailored to the specific needs of small and medium-sized companies, with the goal of improving the export support system.

An aeroponic seed potato production technology project has been established in Pakistan through the Technical Cooperation Project (TCP) between RDA-KOPIA and PARC. For sustainable potato production, producing high-quality and disease-free potato seeds is critical in Pakistan. The majority of the farmers recycle their own seeds or obtain them through informal ways. Consequently, tuber-borne illnesses proliferate, seeds deteriorate, and yield diminishes. To mitigate such problems, the country moved to sustainable seed potato production by adopting rapid seed multiplication strategies like the combination of tissue culturing with aeroponic seed production technology which is being evaluated as an alternative to traditional pre-basic seed production methods. A series of experiments were carried out to evaluate the shoot development and mini tuber production attributes between two cultivars, different plantlet size and planting period between October 27, 2021, and January 27, 2022, at the NARC aeroponic facility. A CRD design with three replications was used. The study aimed to compare the productivity by variety, plantlet size and planting period to improve aeroponic seed production technology in Pakistan. The results indicated that Lady Rosetta outperformed Asterix in terms of shoot growth and small tuber output. Early planting at an optimal temperature of 27 degrees Celsius in the daytime showed a substantial difference when compared to late planting in November and tuberization was commenced 50-55 days after transplantation. Furthermore, in an aeroponic seed potato production system, normal plantlets (8-10 cm) at the time of transplantation, performed better than medium and small plantlets. In a nutshell, it was determined that normal size plantlets (8-10 cm) of Lady Rosetta cultivar, planted at optimum time to plant showed best results in the aeroponic system at NARC, Islamabad, Pakistan.

The Ag/WC electrical contacts were prepared via powder metallurgy using 60 wt% Ag, 40 wt% WC, and small amounts of Co3O4 with varying WC particle sizes. After the fabrication of the contact materials, microstructure observations confirmed that WC-1 had an average grain size (AGS) of 0.27 μm, and WC-2 had an AGS of 0.35 μm. The Ag matrix in WC-1 formed fine grains, whereas a significantly larger and continuous growth of the Ag matrix was observed in WC-2. This indicates the different flow behaviors of liquid Ag during the sintering process owing to the different WC sizes. The electrical conductivities of WC-1 and WC-2 were 47.8% and 60.4%, respectively, and had a significant influence on the Ag matrix. In particular, WC-2 exhibited extremely high electrical conductivity owing to its large and continuous Ag-grain matrix. The yield strengths of WC-1 and WC-2 after compression tests were 349.9 MPa and 280.7 MPa, respectively. The high yield strength of WC-1 can be attributed to the Hall–Petch effect, whereas the low yield strength of WC-2 can be explained by the high fraction of high-angle boundaries (HAB) between the WC grains. Furthermore, the relationships between the microstructure, electrical/mechanical properties, and deformation mechanisms were evaluated.

Metal waste generated during the dismantling of a nuclear power plant can be contaminated with radionuclides. In general, the internal structure is very complex. Thus, metal waste requires various cutting processes. When metal waste is cut, aerosols are generated. Aerosols are generally various particles of very small size suspended in the working area and remain for a considerable period. This may cause internal exposure of workers due to inhalation of radioactive aerosols generated when cutting radioactive metal waste. This study investigated various cutting processes and the size distribution of aerosols generated during the cutting process. The cutting process is normally classified into thermal cutting, mechanical cutting, and laser cutting. Thermal cutting includes plasma, flame, and oxygen cutting. Mechanical cutting includes mechanical saws, cutters, nibblers, and abrasive water jets. Stainless steel, carbon steel, aluminum, and copper are commonly used as cutting materials in nuclear power plants. The size of the aerosol generated from cutting showed a very diverse distribution depending on the cutting methods and cutting materials. In general, aerosol size is distributed within 0.1-1 μm. This size distribution is different from the 5 μm aerosol size suggested by the ICRP Publication 66 Lung model. These results show that it is necessary to conduct further studies on the size of aerosols generated when decommissioning nuclear power plants.

The distribution characteristics of rock fractures determine the hydro-mechanical behavior of natural barriers. Rock fractures are defined by various parameters, which are analyzed as the probability distribution from observation results by surveying the exposed rock surface or borehole. The size is known to have the most uncertainty among the fracture parameters because it cannot be directly measured. Therefore, various estimation methods have been proposed for fracture size distribution using the fracture traces observable on the rock surface. However, most methods are based on a planar survey area, limiting their applicability to the underground research laboratory (URL) excavated in the form of tunnels. This study aims to review a method that can be applied to estimate the size distribution of fractures in deep rock masses at the URL site. The estimation method using the joint center volume (JCV) has recently been extended to be applicable regardless of the geometry of the survey area, which means that it can be applied to the URL site with complex structures. To apply the JCV-based estimation method to non-planar survey areas, JCV calculation using Monte Carlo simulation and estimation of fracture size distribution using the maximum likelihood method are required. In this study, we applied the JCV-based estimation method to a tunnel-shaped survey area to examine its applicability to the URL site. The error rates were analyzed when there were fracture sets with various orientations, size distributions, and maximum fracture sizes in the rock mass, and it was found to be less than 10% in all cases. This result indicates that the JCV-based estimation method can be used to estimate the fracture size distribution of the surrounding rock mass if accompanied by a reliable survey of fracture traces on the tunnel surface inside the URL site. Also, since there are no restrictions on the geometry of the survey area, we can continuously update the estimation results during the URL excavation process to increase reliability. The fracture size distribution is essential for constructing the discrete fracture network (DFN) model of the rock mass units at the URL site. In the future, the uncertainty for the fracture size in the DFN model is expected to be reduced by applying the JCV-based estimation method.

A sample size calculation algorithm was developed in a prototype version to select inspection samples in domestic bulk handling facilities. This algorithm determines sample sizes of three verification methods satisfying target detection probability for defected items corresponding to one significant quantity (8 kg of plutonium, 75 kg of uranium 235). In addition, instead of using the approximation equation-based algorithm presented in IAEA report, the sample size calculation algorithm based on hypergeometric density function capable of calculating an accurate non-detection probability is adopted. The algorithm based the exact equation evaluates non-detection probability more accurately than the existing algorithm based on the approximation equation, but there is a disadvantage that computation time is considerably longer than the existing algorithm due to the large amount of computational process. It is required to determine sample size within a few hours using laptop-level performance because sample size is generally calculated with an inspector’s portable laptop during inspection activity. Therefore, it is necessary to improve the calculation speed of the algorithm based on the exact equation. In this study, algorithm optimization was conducted to improve computation time. In order to determine optimal sample size, the initial sample size is calculated first, and the next step is to perform an iterative process by changing the sample size to find optimal result. Most of the computation time occurs in sample size optimization process performing iterative computation. First, a non-detection probability calculation algorithm according to the sample sizes of three verification methods was improved in the iterative calculation process for optimizing sample size. A computation time for each step within the algorithm was reviewed in detail, and improvement approaches were derived and applied to some areas that have major effects. In addition, the number of iterative process to find the optimal sample size was greatly reduced by applying the algorithm based on the bisection method. This method finds optimal value using a large interval at the beginning step and reduces the interval size whenever the number of repetitions increases, so the number of iterative process is less than the existing algorithm using unit interval size. Finally, the sample sizes were calculated for 219 example cases presented by the IAEA report to compare computation time. The existing algorithm took about 15 hours, but the improved algorithm took only about 41 minutes using high performance workstation (about 22 times faster). It also took 87 minutes for calculating the cases using a regular laptop. The improved algorithm through this study is expected to be able to apply the sample size determination process, which was performed based on the approximate equation due to the complexity and speed issues of the past calculation process, based on the accurate equation.

In this study, a comparative test operation was conducted through the alternate haul method to examine the selectivity of the four mesh sizes (60 mm, 90 mm, 110 mm, and 130 mm) of the trawl codend. The selectivity was analyzed using the SELECT model considering the fishing efficiency (split parameter) of each fishing gear in the comparative test fishing operation in the trawl and the maximum likelihood method for parameter estimation. A selectivity master curve was estimated for several mesh sizes using the extended-SELECT model. As a result of analyzing the selectivity for silver croaker based on the results of three times hauls for each experimental gear, it was found that the size of the fish caught increased as the size of the mesh size increased. When the selectivity for each mesh size analyzed by the SELECT model considering the split ratio was evaluated based on the size of the AIC value, the estimated split model was superior to the equal split model. Based on the master curve, the 50% selection length value was 2.893, which was estimated to be 136 mm based on the mesh size of 60 mm. In some selectivity models, there was a large deviance between observed and theoretical values due to the non-uniformity of the distribution of fished length classes. As a result, it is considered that appropriate sea trials and selectivity evaluation methods with high reliability should be applied to present trawl fishery resource management methods.

The purpose of this study is to classify the body types of obese men in their 50–60s and compare them with those of obese middle-aged men in their 30–40s. The 3D anthropometric data of obese men aged 50 to 60 years from the 6th Size Korea. The data are analyzed using SPSS 25.0 for Windows, and descriptive statistics, χ2 test, correlation analysis, and cluster analysis are used to classify obese body types. As a result of the study, five factors are extracted to determine body types, which are classified into three obese body types through cluster analysis. 1) a large physique and consequently large circumference and height; 2) A short upper body length, short height, and thick belly; 3) the lowest rate of obesity and relatively flat abdominal curve. For the 30–40s group, Type1 showed the highest rate at 55.6%, whereas for the 50s group, Type3 showed the highest rate at 49.3%, and for 60s group, Type2 showed the highest rate at 41.2%. The classification accuracy of the discriminant function for each type is 94.7%, indicating relatively high accuracy. Furthemore, the recently changed obese body type are analyzed by comparing it with the 3D anthropometric data of 8th Size Korea, which will contribute to the utilization of basic data for manufacturing apparel for obese men.

완공된 건물과 달리 시공 중인 건물은 설계단계와 다른 하중 작용 및 콘크리트 강도 미발현 등 다양한 요인에 의해 설계단계에서 검 토한 하중을 초과하는 하중이 작용하여 건물의 안전성에 문제가 생길 위험이 있다. 또한 시공 중인 건물에 지진이 발생할 경우 더 큰 피해가 발생할 가능성이 있다. 따라서 이 연구는 전형적인 다양한 규모의 5층, 15층, 25층, 60층 예제모델을 작성하고 골조완성도에 따 른 시공단계 모델을 통해 시공 중인 건물의 지진하중의 영향을 분석하였다. 시공 중인 건물의 시공기간은 완공단계 이후의 사용기간 에 비해 매우 짧으므로 설계단계와 동등한 수준의 지진을 적용하는 것은 과도한 하중이 적용될 수 있으므로 시공단계 모델에 재현주 기 50~2,400년의 지진을 적용하여 지진하중을 검토하고 부재단면성능을 분석하였다. 그 결과 설계단계를 초과하는 하중의 여부 및 구조적 안전성 확보가 가능한 수준의 지진재현주기를 검토할 수 있었다. 또한 각 예제모델의 시공기간을 가정하여 시공기간에 따른 지진재현주기를 선정하고 선정한 재현주기의 설계 적절성을 확인하였다.

This research studied the electrical characteristics, IR transmission characteristics, stealth functions, and thermal characteristics of infrared thermal-imaging cameras of copper-sputtered samples. Nylon samples were prepared for each density as a base material for copper-sputtering treatment. Copper-sputtered NFi, NM1, NM2, NM3, NM4, and NM5, showed electrical resistance of 0.8, 445.7, 80.7, 29.7, 0.3, and 2.2 Ω, respectively, all of which are very low values; for the mesh sample, the lower the density, the lower the electrical resistance. Measuring the IR transmittance showed that the infrared transmittance of the copper-sputtered samples was significantly reduced compared to the untreated sample. Compared to the untreated samples, the transmittance went from 92.0–64.1%. When copper sputtered surface was directed to the IR irradiator, the IR transmittance went from 73.5 to 43.8%. As the density of the sample increased, the transmittance tended to decreased. After the infrared thermal imaging, the absolute values of △R, △G, and △B of the copper phase increased from 2 to 167, 98 to 192, and 7 to 118, respectively, and the closer the density of the sample (NM5→NFi), the larger the absolute value. This proves that the dense copper phase-up sample has a stealth effect on the infrared thermal imaging camera. It is believed that the copper-sputtered nylon samples produced in this study have applications in multifunctional uniforms, bio-signal detection sensors, stage costumes, etc.

선박 충돌사고는 지속적으로 발생하고 있다. 충돌사고의 대부분은 연안에서 운항하는 중소형 크기 선박들과 관련된다. 충돌사 고는 해양사고의 9%이지만, 충돌로 인한 인명피해는 전체의 34.4%를 차지한다. 근래 충돌사고에 대한 해양안전심판원 심판과정에서 해양 사고 관련자들이 사고 당시 청명한 날씨였음에도 상대 선박의 항해등이 미약하거나 제대로 보이지 않았다는 주장을 자주 한다. 특히 연 안이나 항만 내에서 발생한 충돌의 경우 더욱 그러하다. 이에 따라 항해등에 대한 현황과 안전성 분석이 필요하다. 이를 위하여 항해등 관련 국내외 규칙과 전문도서 내용을 살펴보고, 다른 교통수단 즉, 항공기와 열차 및 자동차 등화를 분석하며 항해등과 차이점을 비교한 다. 또한, 현재 해상교통환경을 살펴보고 최근 5년간 발생한 충돌사고를 분석하며, 선박 운항자와 선박 안전업무 종사자를 대상으로 항해 등에 관한 설문조사를 실시한다. 최종적으로 현재 항해등에 관한 개선방안을 제시한다.

미선나무(Abeliophyllum distichum Nakai)는 오직 한반도 일부 지역에 제한적으로 자생하는 특산식물이며, 지구범위 인 IUCN Red List Endangered로 평가·등재되어 있는 이화주성(distyly, 二花柱性) 특성을 가진 희귀식물이다. 본 연구는 미선나무 자생 개체군 8개 지역과 천연기념물 개체군 6개 지역 등 총 14개 지역의 정량조사 결과를 바탕으로 미선나무 이화주성에 따른 개화 특성과 개체군 크기를 비교·분석함으로써 향후 미선나무 개체군에 적합한 현지 내 보전관리방안 정립을 목적으로 수행되었다. 개체군별 출현 개체는 전수조사하였으며, 각 개체의 화기 형태로 장주화·단 주화 개체를 식별해 개화 개체를 현장에서 조사·기록 후 분석하였다. 미선나무 전체 출현 개체 수는 총 13,130개체(개화 7,003개체, 미성숙 6,127개체)로 각 개체군의 장주화·단주화 개화 개체 수 적정 균형 상태가 유의적(P<0.05)이지 않고, 불균형한 상태를 나타냈다. 특히, 영동 개체군은 타 개체군 대비 매우 불균형적 형태를 나타내 타 개체군과 비교했을 때 유전다양성이 낮고, 근친교배 가능성이 클 것으로 추정된다. 관리 단위별 평균 개화·결실률은 각각 자생 개체군 39.0%, 8.5%, 천연기념물 개체군 89.2%, 55.3%로 천연기념물 개체군이 자생 개체군 대비 매우 높게 나타났다. 이는 상층 수관 울폐 차이에 따른 임내 광유입 변화와 관계된 생식 생장 크기 차이로 사료된다. 한반도 내 미선나무 전체 점유면적은 23,224.5㎡이었고, 천연기념물 개체군이 자생 개체군 대비 개체군 점유 면적은 작으나 밀도는 상대적으로 높게 나타났다. 일정 면적에 대한 보호시설 설치로 개체군 확산에 제약이 있는 천연기념물 개체군 내 주기적인 관리가 천연기념물 개체군 밀도를 높인 주된 요인일 것으로 추정된다. 미선나무 보전을 위해서는 현재 인위적·유전적 교란이 의심되는 천연기념물 집단을 해제하고, 새로운 보호구역을 신규로 지정함으로써 보전 우선 개체군의 확대가 필요하다. 천연기념물 개체군의 경우 문화재청과 지자체에서 자생지 관리가 이뤄지고 있으나 자생 개체군의 경우 관리 주체가 전무한 실정으로 미선나무 전반적 관리에 대한 제도적 개선이 우선적으로 이뤄져야 할 것이다.

Consumers prefer high-quality organic agricultural products, but most organic farmers use conventional seeds. Therefore, it is necessary to establish an organic seed production technology for organic vegetable cultivation which will meet international organic standards. In this study, the effects of low temperature treatment and seedling size on flower bud differentiation and planting were investigated for the production of indigenous organic root vegetables seeds, radish, turnip, and beet. Radishes were bolted in large seedlings which were cold treated for 4 weeks after 16 days of transplantation. Turnips were bolted in small seedlings which were cold treated for 2 or 4 weeks after 28 days of transplantation. Beets were bolted in small seedlings which were cold treated for 4 weeks, 23 days after planting. It was found that small size radish seedlings were not affected by the 4 weeks low-temperature treatment, but for turnips and beets, smaller seedlings rapidly bolted as compared to larger seedlings which were treated for 2 or 4 weeks. Based on these results, it could be inferred that it is possible to increase the seed production yield of radish, turnip, and beet as well as predicting the planting time. These findings could be used as basic data to determine the appropriate seedling size and cold-treatment time.

The present trial verified the effects of spraying microbial agents on odor reduction in commercial pig farms of different operating sizes and barn types. Farms without microbial agent spraying and those sprayed with microbial agents at two different intervals were compared. The treatments included spraying of water alone every day or a mixture of water plus microbial agent at 24 and 72 h intervals. The experimental farms were divided according to size into 1,000-, 3,000-, and 5,000-head farms and according to barn type into gestation, farrowing, nursery, and grower-finisher farms. To compare odor concentration within each housing barn, ammonia and hydrogen sulfide gas levels were measured. The average concentrations of ammonia (p<0.01) and hydrogen sulfide (p<0.05) gas were the lowest in all types of farms sprayed with the microbial agent at a 24 h interval. In farms sprayed with the microbial agent at a 24 h interval, the decrease in ammonia concentration according to barn type was in the following order: farrowing (p<0.01) (11.0 to 1.8 ppm), nursery (p<0.05) (17.0 to 9.2 ppm), grower-finisher (15.3 to 8.8 ppm), and gestation (9.7 to 6.4 ppm) farms. Moreover, spraying the microbial agent at a 24 h interval significantly (p<0.01) decreased ammonia concentration from 19.9 to 10.4 ppm, from 11.1 to 4.1 ppm, and from 8.8 to 5.1 ppm in 5,000-, 3,000-, and 1,000-head farms, respectively. Overall, spraying microbial agents every day may be the most effective method to reduce odor in commercial pig farms.