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.

This study aims to develop a detailed sizing system for lower body clothing for elderly obese women, using data from the 8th Korean Anthropometric Survey. The research targets 296 elderly women aged 60 to 85, selected from 805 participants in total, who meet the following criteria: Rohrer Index of 1.6 or above, Body Mass Index of 25 or higher, and Waist-Hip Ratio of 0.85 or greater. Elderly women with abdominal obesity exhibit shorter lower body proportions and greater fat accumulation in the torso, around the chest and waist. The findings show that women in their 60s have the highest level of obesity, while waist width and thickness are greatest in women in their 70s, suggesting that abdominal obesity increases with age. According to the KS standards, the main measurement categories were divided into 5cm increments for height, while waist and hip girth were categorized into 5cm and 3cm, respectively, to analyze the distribution of sections. Clothing size standards for lower garments that require a precise fit, such as skirts and formal pants, are presented in 13 sizes, corresponding to a waist girth range of 85–100cm and a hip girth range of 88–97cm. Detailed measurements are categorized into primary and reference areas. Additionally, sizes were presented differently based on whether a precise fit was necessary. For items that did not require a precise fit, ranges were indicated with letters, or ranges were indicated with measurements. Detailed sizes were categorized into primary and reference areas.

선박의 조종성능은 조선해양공학 분야에서 매우 중요한 유체역학적 성능 중 하나입니다. 본 연구에서는 저수심에서 운용되는 24m급 쌍동선을 대상으로 직진성능 분석에 대한 연구를 진행하였습니다. Skeg의 설치를 통해 조종성능을 개선할 수 있는지 여부를 확인 하기 위해, 전산유체역학(CFD) 수치해석 시뮬레이션을 활용하여 가상의 포획 모형테스트를 진행하였습니다. 시뮬레이션은 PMM(Planar Motion Mechanism) 조화 시험 중 Pure-sway 및 Pure-Sway motion, 2가지 시험을 진행하였으며, 선박의 선회성능은 직진성능 지수(C)의 경험식 을 통해 확인하였습니다, 결론적으로, Skeg가 없는 기존 선체는 직진성능이 상대적으로 저조하며, Skeg 1을 적용해도 부정적인 C 지수 값 을 보여 항로유지 능력이 개선되지 않았다. 하지만 Skeg 2, 3 또는 4를 적용하였을 때, 긍정적인 C 지수 값을 보여 항로유지 능력이 개선 되는 것을 보이며, 이는 Sway motion의 드리프트 경향에 비해 선체가 Yaw 또는 방향을 더 바꾸기 쉽다는 것을 나타낸다.

This study analyzes the discourse of Korean internet users regarding patient clothing and identifies the changes to structure and content of clothing resulting from infectious disease outbreaks. The analysis draws on texts from Korean blogs, internet cafes, and news articles from 2011 to 2021 related to patient clothing. Using Ucinet 5 and NodeXL 1.0.1 programs, network density, centrality, and cluster analyses were conducted using the Wakita–Tsurumi algorithm. Additionally, Latent Dirichlet Allocation (LDA) topic modeling was applied using Python 3.7 to further explore thematic patterns within the discourse. Throughout the period of study, it was found that users consistently discussed the specific purpose and functionality of patient clothing. Following the outbreak of COVID-19, the distribution and influence of keywords related to the functional aspects of patient clothing, such as “hygiene and safety,” significantly increased. An increased focus was placed on elements such as functionality, activity, autonomy, hygiene, and safety during the pandemic as public health concerns grew. It can be seen that patients increasingly share their experiences online and hospitalization rates surge during health crises; this study provides valuable insights into how the design of patient clothing can be improved through various informatics techniques. It underscores the evolving perception of patient clothing as essential medical equipment during health emergencies. In addition, it offers practical guidance for enhancing designs that better reflect shifting societal concerns, particularly regarding health, safety, and patient comfort.

폭풍해일 및 너울과 같은 고파랑으로 인해 발생되는 월파는 심각한 연안 침수 위험을 초래하며, 연안 시설과 주민의 안전을 위해 정확한 예측이 필요하다. 본 연구는 수치적, 경험적, 신경망, 그레디언트 부스팅(gradient boosting) 및 컴퓨터 비전 기반 모델들을 사용 하여 해안선 인근의 파고와 월파량을 포함한 월파 특성을 조사하였다. 동해안을 대상으로 한국 기상청(KMA), 일본 기상청(JMA), 미국 국 립환경예측센터(NCEP), 유럽 중기기상예보센터(ECMWF)의 기상데이터를 사용하여 ADCIRC 모델과 SWAN 모델을 결합하여 파고를 계산 하였다. 월파 감지용 CCTV가 설치된 동해안의 삼척항을 대상지역으로 선정하였다. CCTV에서 촬영된 영상들을 YOLO를 사용하여 분석하 였으며, 화면 내의 처오름 현상을 감지하였다. 수치모형의 성능은 예측된 파도 특성과 관측값을 비교하여 정성적, 정량적 측정을 통해 평 가하였다. 수치모형의 성능은 파고 예측에서 우수한 것으로 분석되었으며, 태풍과 비태풍 조건에서 파고는 각각 0.60m와 0.44m의 최소 RMSE이고 주기는 각각 1.68m와 1.84m의 RMSE로 분석되었다. 본 연구결과에 의하면 실시간 모니터링은 월파 특성에 대한 신뢰할 수 있는 예측 가능성을 가진다. 실시간 모니터링은 해안지역 보호를 위한 신속한 위험 평가 및 실시간 경보 제공에 활용될 수 있다.

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.

3D printing using ceramic powder to produce precision ceramic parts has been studied with various additive manufacturing methods. This study analyzed problems occurring in alumina additive manufacturing that uses digital light processing (DLP) as well as methods to address such problems. For efficient analysis, we have classified alumina additive manufacturing into three types according to the driving method of the build platform - lifting type (LT), tilting type (TT) of the vat, and blade movement type (BT). LT had a problem with detachment and cracking of the alumina green body. However, this could be prevented by carefully controlling the cure depth of the suspension slurry and the bonding force between layers and improving the material used for coating the vat. TT, which resulted in non-uniform alumina additive manufacturing, could be improved by modifying the bidirectionality of the axis and the fluidity of the highly viscous alumina suspension slurry. BT resulted in detachment of the specimen as well as non-uniform results, but this could be avoided by shortening the shifting distance of the alumina suspension when it is introduced to the build platform, and enabling effective spreading.

River discharge is a crucial indicator of climate change and requires accurate and continuous estimation for effective water resource management and environmental monitoring. This study used satellite gravimetry data to estimate river discharge in major basins with high discharge volumes, specifically the Congo and Orinoco basins. By enhancing the spatial resolution of gravity data through advanced post-processing techniques, including forward modeling and river routing schemes, we effectively detected changes in the water mass stored within river channels. Additionally, signals from surrounding regions were statistically removed using the Empirical Orthogonal Function (EOF) analysis to isolate river-specific discharge signals. These refined signals were then converted into river discharge data through seasonal calibration using the modeled discharge data. Our results demonstrate that this method yields accurate and reliable discharge estimates comparable to in-situ measurements from gauge stations, even without ground-based surveys such as an Acoustic Doppler Current Profiler (ADCP) field campaigns. This research highlights the significant potential of satellite-based gravity data as an alternative to traditional ground surveys, providing practical information on the hydrological status of regions associated with large-scale river systems.

본 연구는 제주도 모슬포 해역에서 채집된 대형 포식성 복족류인 붉은입두꺼비고둥(Tutufa bufo) 두 개체를 대상 으로 테트로도톡신(TTX) 존재 여부를 조사하였다. 일본에 서 채집된 붉은입두꺼비고둥의 내장에서 TTX가 검출된 사례가 보고된 바 있으며, 최근 제주도 남부 해역에서 해 당 종이 혼획되고 있으나, 한국 해역에 분포하는 붉은입 두꺼비고둥의 TTX 축적에 대한 정보는 부족하다. 이에 본 연구에서는 경쟁적 효소면역분석법(cELISA) 을 사용하여 붉은입두꺼비고둥의 주요 연조직(전타액선, 구강부, 소화 선, 생식소, 아가미, 신장, 근육, 후타액선)을 분석하였다. 분석 결과, 모든 조직에서 TTX 농도는 검출 한계 미만으 로 나타났다. 그러나 TTX 축적에는 개체 간, 지역적, 계 절적 변동 가능성이 존재할 수 있으므로, 한국 해역에서 붉은입두꺼비고둥의 TTX 축적 위험을 정확하게 평가하기 위해서는 추가적인 시료 확보와 계절별 연구가 요구된다.

마비성 패류독소 중독증(paralytic shellfish poisoning; PSP)은 삭시톡신과 그 유사체로 오염된 패류를 섭취했을 때 발생하며, 저림, 구토 등의 증상에서부터 근육 마비와 심각한 경우 호흡 마비로 이어져 사망에 이를 수 있다. 독 성등가계수(toxic equivalency factors; TEFs)는 다양한 마 비성 패류독소의 독성을 표준화하여 위험성을 평가하는 데 사용된다. 마비성 패류독소를 검출하기 위해 사용되던 마우스 생체 실험(mouse bioassay; MBA)에 대한 윤리적 문제가 제기되면서 고성능액체크로마토그래피와 같은 기 기 분석법으로의 전환이 시도되고 있지만, 유사체들의 적절 한 TEF를 설정하기 위해서는 여전히 동물 모델을 통한 생 체 내 독성 데이터가 필수적이다. 본 연구에서는 동물 수를 줄이면서도 신뢰할 수 있는 경구투여 독성 결과를 얻기 위 해 삼단계 반응표면-경로 (three-level RSP) 설계를 사용했다. 인증 표준 물질을 이용하여 각 독소의 초기 용량과 조정 계 수를 결정하고 시험을 진행했으며, STX.2HCl, NeoSTX, dcSTX, GTX1&4, GTX2&3, dcGTX2&3의 반수치사량 (및 TEF) 값은 각각 451.3 (1.00), 306.5 (1.47), 860.9 (0.52), 644.5 (0.70), 915.3 (0.49), 2409.3 (0.19)로 나타났다. 도출된 TEF 값은 2016년 WHO에서 권고한 TEF 값뿐만아니라, 이 전에 보고된 경구 투여 반수치사량을 기반으로 한 TEF 값 과 강한 상관관계를 보였다. 본 연구는 마비성 패류독소 뿐 만 아니라 신규 미관리 해양생물독소에 대해 적절한 TEF를 설정하는 데 있어 삼단계 반응표면경로 설계를 윤리적 우 려와 신뢰할 수 있는 독성 데이터의 필요성 사이에서 효과 적으로 균형을 맞출 수 있는 방법으로 제안한다.

The AlSi10Mg alloy has garnered significant attention for its application in laser powder bed fusion (L-PBF), due to its lightweight properties and good printability using L-PBF. However, the low production speed of the L-PBF process is the main bottleneck in the industrial commercialization of L-PBF AlSi10Mg alloy parts. Furthermore, while L-PBF AlSi10Mg alloy exhibits excellent mechanical properties, the properties are often over-specified compared to the target properties of parts traditionally fabricated by casting. To accelerate production speed in L-PBF, this study investigated the effects of process parameters on the build rate and mechanical properties of the AlSi10Mg alloy. Guidelines are proposed for high-speed additive manufacturing of the AlSi10Mg alloy for use in automotive parts. The results show a significant increase in the build rate, exceeding the conventional build rate by a factor of 3.6 times or more, while the L-PBF AlSi10Mg alloy met the specifications for automotive prototype parts. This strategy can be expected to offer significant cost advantages while maintaining acceptable mechanical properties of topology-optimized parts used in the automobile industry.

Aluminum-based composites are in high demand in industrial fields due to their light weight, high electrical conductivity, and corrosion resistance. Due to its unique advantages for composite fabrication, powder metallurgy is a crucial player in meeting this demand. However, the size and weight fraction of the reinforcement significantly influence the components' quality and performance. Understanding the correlation of these variables is crucial for building high-quality components. This study, therefore, investigated the correlations among various parameters—namely, milling time, reinforcement ratio, and size—that affect the composite’s physical and mechanical properties. An artificial neural network model was developed and showed the ability to correlate the processing parameters with the density, hardness, and tensile strength of Al2024-B4C composites. The predicted index of relative importance suggests that the milling time has the most substantial effect on fabricated components. This practical insight can be directly applied in the fabrication of high-quality Al2024-B4C composites.

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.

식품 포장 분야에서 바이오센서와 바이오폴리머 기반 나 노복합체, 즉 바이오나노복합체의 통합이 점차 산업 전문 가들에 의해 인식되고 있으며, 이는 식품의 품질과 안전 에 대한 우려가 증가함에 따라 주도되고 있습니다. 식품 포장에 내장된 바이오센서는 포장된 상품의 미생물에 의 한 변질을 지속적으로 모니터링함으로써 식품의 완전성을 유지하는 핵심 요소로 업계를 변화시킬 준비가 되어 있다. 동시에, 탁월한 기계적, 열적, 광학적, 항균적 특성으로 인 해 바이오폴리머 기반 나노복합체의 연구와 적용이 크게 확대되었다. 이러한 특성은 이들을 혁신적인 포장 솔루션 에 적합한 주요 재료로 만든다. 그러나 지능형 식품 포장 시스템 발전에 바이오센서와 바이오나노복합체를 사용하 는 잠재적인 장애물과 전망을 탐구하는 것은 아직 충분하 지 않다. 바이오나노복합체와 바이오센서의 융합을 제안 하는 것은 스마트 포장 산업을 재정의하는 획기적인 단계 로, 이 기술들을 더 깊이 이해하여 지속 가능하고 경제적 으로 실행 가능한 스마트 포장 옵션의 개발을 촉진할 필 요성을 강조한다. 이 리뷰는 바이오센서와 바이오나노복 합체에 대한 기존 연구와 개발 동향을 철저히 검토하고, 가까운 미래에 스마트 식품 포장 산업에서 진전을 이끌어 낼 앞으로의 도전과 기회를 강조하는 데 전념하고 있다.

In this study, we have determined mitochondrial genome of Matsucoccus thunbergianae isolated in Korea. The circular mitogenome of M. thunbergianae is 15,406 bp including 13 protein-coding genes, two ribosomal RNA genes, and 22 transfer RNAs. AT ratio is 78.2%. Maximum-likelihood and Bayesian inference phylogenetic trees show that M. thunbergianae is clustered with M. matsumurae, and family Margarodidae is clustered with family Pseudococcidae with enough supportive values.

Hydrogen peroxide (H2O2) is widely used in bleaching treatments in the pulp and paper industry, in wastewater treatment, and as a food additive. However, H2O2 solutions are unstable and decompose slowly when subjected to external factors such as light, high temperatures, or metal compounds. Therefore, a simple and reliable method to measure the concentration of H2O2 is required for its proper use in various applications. We determined the concentration of an H2O2 solution by measurement at a single wavelength (249 nm) without any reagents or complex analytical procedures. In the present work, the measurable concentration of H2O2 was as low as 0.015 wt% (4.41 mM) and as high as 0.300 wt% (88.2 mM), with high linearity (99.99% at 249 nm) between the concentration of H2O2 and the optical density (OD) values. In addition, the method could be used to measure the concentration of H2O2 in a peracetic acid solution without interference from acetic acid and peracetate ion.

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.