A total of 100 commercially available olive oil products were analyzed for 179 pesticide residues using gas chromatography-tandem mass spectrometry (GC/MS/MS). The olive oil samples were mixed with organic solvents, centrifuged and frozen to remove fat, and pesticide residues were analyzed using the “quick, easy, cheap, effective, rugged, and safe” (QuEChERS) method. The determination coefficient (R2) of the analysis method used in this study was ≥0.998. The detection limit of the method ranged 0.004–0.006 mg/kg and its quantitative limit ranged 0.012–0.017 mg/kg. The recovery rate (n=5) measured at the level ranging 0.01–0.02, 0.1, and 0.5 mg/kg ranged 66.8– 119.5%. The relative standard deviation (RSD) was determined to be ≤5.7%, confirming that this method was suitable for the "Guidelines for Standard Procedures for Preparing Food Test Methods". The results showed that a total of 151 pesticides (including difenoconazole, deltamethrin, oxyfluorfen, kresoxim-methyl, phosmet, pyrimethanil, tebuconazole, and trifloxystrobin) were detected in 64 of the 100 olive oil products. The detection range of these pesticide residues was 0.01–0.30 mg/kg. The percentage acceptable daily intake (%ADI) of the pesticides calculated using ADI and estimated daily intake (EDI) was 0.0001–0.1346, indicating that the detected pesticides were present at safe levels. This study provides basic data for securing the safety of olive oil products by monitoring pesticide residues in commercially available oilve oil products. Collectively, the analysis method used in this study can be used as a method to analyze residual pesticides in edible oils.

To analyze the pesticide residues in commercial bee pollen products in South Korea, 61 samples were collected and screened for 339 pesticides. Results revealed that approximately 34% (>LOQ) of samples were contaminated with at least one pesticide. The pesticide residue detection rates of domestic and imported samples were 31% and 44%, respectively. Furthermore, the pesticide residue detection rate of online distribution (60%) was higher than that of offline distribution (27%). Fifteen pesticides were discovered in bee pollen, and pendimethalin, chlorfenvinphos, chlorpyrifos, and fluazinam were detected in 7, 6, 3, and 2 order of frequency, respectively. Even though its concentration was low, chlorfenvinphos which is banned in food crops in the United States, European Union, and Korea, was detected in bee pollen samples commonly. Therefore, continuous investigation of pesticide residues in bee pollen products and their acceptance criteria is required for safety.

Polyethersulfone (PES)은 친수성과 상분리법의 용이성 덕분에 수처리 및 정제 분야에서 정밀여과 및 한외여과막 소재로 일반적으로 사용된다. 그러나, 비용매 유도 상분리법으로 제조된 PES 분리막, 특히 지지체가 없는 여과막의 경우 도 프의 조성과 기재의 특성에 따라 여과막 하부에 낮은 기공도를 갖는 치밀층이 형성되기 쉽고, 이러한 치밀층으로 인해 수투 과 저항이 증가하고 오염물질의 쌓임에 의한 막오염이 일어난다. 본 연구에서는 PES 여과막 제조 시 상전이 과정의 수축으 로 인해 분리막 하부에 물이 침투하여 치밀층을 형성, 심각한 막오염을 유발할 수 있음을 확인하였다. 동일한 선택층을 갖는 PES 여과막을 단일층 및 이중층 캐스팅법으로 각각 제조하여 하부 치밀층이 여과막의 투과성능 및 막오염에 미치는 영향을 파악하고자 하였다. 하부 치밀층이 없는 이중층 캐스팅된 여과막은 기존 여과막 대비 높은 투과성능 및 막오염에 대한 저항 성을 보였으며, 이를 통해 다공성 여과막의 내오염성을 향상시키기 위한 표면 기공도 및 기공 구조 등 물리적 구조의 최적화 가 중요함을 확인하였다.

As the average temperature on Earth increases due to global climate change, crops are further needed to overcome this issue. Since sweet potato has high yield potential, can grow in harsh environments, and contains abundant nutrients, it is a potential substitute food in response to environmental crises. Compared to grains such as rice and barley, sweet potato has a lower glycemic load and contains various natural antioxidants, showing a variety of physiological functions. Thus, sweet potato is in the spotlight as a healthy food. Although domestic sweet potato production continued to decrease from 1990 to 2010, its production was maintained or slightly increased until 2020 due to the changes in consumers’ dietary habits that emphasize health. In this regard, steamed or roasted sweet potatoes were consumed as a snack substitute in the previous eating form. Furthermore, sweet potato starch has been used in various industries, including food. Therefore, this study intends to discuss the value of sweet potatoes as food, the production trend and cultivation method of sweet potatoes in South Korea, and the industrial application of sweet potatoes.

One-dimensional MgO nanostructures with various morphologies were synthesized by a thermal evaporation method. The synthesis process was carried out in air at atmospheric pressure, which made the process very simple. A mixed powder of magnesium and active carbon was used as the source powder. The morphologies of the MgO nanostructures were changed by varying the growth temperature. When the growth temperature was 700 °C, untapered nanowires with smooth surfaces were grown. As the temperature increased to 850 °C, 1,000 °C and 1,100 °C, tapered nanobelts, tapered nanowires and then knotted nanowires were sequentially observed. X-ray diffraction analysis revealed that the MgO nanostructures had a cubic crystallographic structure. Energy dispersive X-ray analysis showed that the nanostructures were composed of Mg and O elements, indicating high purity MgO nanostructures. Fourier transform infrared spectra peaks showed the characteristic absorption of MgO. No catalyst particles were observed at the tips of the one-dimensional nanostructures, which suggested that the one-dimensional nanostructures were grown in a vapor-solid growth mechanism.

본 연구는 COVID-19로 인한 사회적 거리두기를 경험한 대학생의 사회·정서적 고립감, 우울, 스마트폰 중독 간의 관계를 살펴보고 대학생의 스마트폰 중독에 영향을 주는 요인을 파악하기 위해 시도되 었다. 본 연구에 참여한 대상자는 4개 대학교에 재학 중인 220명이며, 자료수집은 구글 폼으로 설문지를 구성하여 시행하였다. 자료 분석은 SPSS/WIN 28.0 프로그램을 이용하여 변수의 특성에 따라 통계적으로 분석하였다. 본 연구 결과, 대학생의 스마트폰 중독은 사회·정서적 고립감(r=.44, p<.001), 우울(r=.51, p<.001)과 유의한 양의 상관관계를 보였으며, 대학생의 스마트폰 중독에 영향을 주는 요인은 성별(β =.176, p=.001), 주말 스마트폰 사용 시간 7-9시간(β=.387, p=.001), 10-12시간(β=.313, p=.006), 12시 간 이상(β=.299, p=<.001), 우울(β=.302, p<.001), 사회·정서적 고립감(β=.210, p=.004)이었다. 회귀모 형은 통계적으로 유의하였으며 (F=15.81, p<.001) 모형의 설명력은 43% (adj R2=.43, p<.001)였다. 따라 서 대학생의 스마트폰 중독을 예방하기 위해 사회·정서적 고립감과 우울을 감소시킬 수 있는 정신건강 증 진 프로그램을 개발하여 활용할 필요가 있다.

In this study, machine learning models are proposed to predict the Vickers hardness of AlSi10Mg alloys fabricated by laser powder bed fusion (LPBF). A total of 113 utilizable datasets were collected from the literature. The hyperparameters of the machine-learning models were adjusted to select an accurate predictive model. The random forest regression (RFR) model showed the best performance compared to support vector regression, artificial neural networks, and k-nearest neighbors. The variable importance and prediction mechanisms of the RFR were discussed by Shapley additive explanation (SHAP). Aging time had the greatest influence on the Vickers hardness, followed by solution time, solution temperature, layer thickness, scan speed, power, aging temperature, average particle size, and hatching distance. Detailed prediction mechanisms for RFR are analyzed using SHAP dependence plots.

The entire industry is increasing the use of big data analysis using artificial intelligence technology due to the Fourth Industrial Revolution. The value of big data is increasing, and the same is true of the production technology. However, small and medium -sized manufacturers with small size are difficult to use for work due to lack of data management ability, and it is difficult to enter smart factories. Therefore, to help small and medium -sized manufacturing companies use big data, we will predict the gross production time through machine learning. In previous studies, machine learning was conducted as a time and quantity factor for production, and the excellence of the ExtraTree Algorithm was confirmed by predicting gross product time. In this study, the worker's proficiency factors were added to the time and quantity factors necessary for production, and the prediction rate of LightGBM Algorithm knowing was the highest. The results of the study will help to enhance the company's competitiveness and enhance the competitiveness of the company by identifying the possibility of data utilization of the MES system and supporting systematic production schedule management.

우리나라는 무기질비료 사용량이 많은 나라 중 하나이다. 그러나 1980년 이후 지속가능농업에 대한 필요성에 의해 1997년 친환경 농업육성법이 제정되었고 지속가능한 농업을 위한 연구로 논, 밭, 시설 및 과수에 대한 비료사용실태조사가 실시되고 있다. 이에 본 연구는 과수 중 대표되는 7작물(배, 포도, 사과, 복숭아, 대추, 단감, 키위)을 대상으로 각 도에서 805농가를 선정하여 실시하였으며, 조사내용은 사용하는 비료의 종류, 사용량 등에 대해 농가를 방문하여 면접 청취조사하였다. 국내 과수작물의 성분별 평균 비료사용량(N-P2O5-K2O)은 30.0-23.8-24.3 kg 10a-1이었으 며 비료 종류별로 구분하였을 때 퇴비 > 유기질비료 > 무기질비료 순으로 사용하고 있었다. 단위면적당 가장 많은 비료를 사용하고 있는 과수는 대추로 질소, 인산 및 칼리를 평균 53.3-42.0-49.5 kg 10a-1을 사용하고 있는 것으로 확인되었다. 앞으로 지속가능 농업과 농업환경의 보전을 위해서는 농가에서 사용하는 비료의 장기간 모니터링 뿐만 아니라 농업인에게 무기질비료, 유기질비료 및 퇴비의 적정사용방법에 대한 교육 및 홍보를 지속적으로 실시해야 될 것으로 판단된다.

본 연구에서는 울산지역에서 유통되는 로컬푸드 농산물 367건에 대해 다성분 분석법을 이용하여 잔류농약 350종 을 분석한 결과 다음과 같다. 로컬푸드 농산물에 대한 잔류농약 분석 결과 21.5%(79 건)의 검출률을 보였으며 부적합률은 1.1%(4건)으로 나타 났다. 품목별로 과일류는 65건 중 27건(41.5%), 채소류는 242건 중 50건(20.7%), 두류는 7건 중 1건(14.3%), 곡류 11건 중 1건(9.1%) 검출률을 보였고, 취나물, 곤달비, 파, 살구에서 기준치 이상의 잔류농약이 검출되었다. 검출된 잔류농약은 총 58종 163회로 살충제 성분이 가 장 많이 검출되었고 고독성 농약 1회, 보통 독성 농약 9 회, 저독성 농약이 48종이었다. 부적합 처리된 품목을 포함한 검출된 잔류농약 항목에 대한 위해도 평가 결과 위해지수(%ADI) 가 0.0000- 63.1043% 으로 모두 100% 미만으로 위해하지 않은 수준 으로 판단되었다. 지속적으로 로컬푸드 농산물의 운동 추진 방향인 지역 활성화와 안전한 먹거리 공급체계구축의 목적을 위해 엄 격히 관리되는 기준으로 안전성 검사를 실시하고, 신뢰성 확보를 위한 생산자 교육 및 홍보, 출하 전 안전성 검사 관리시스템이 정착된다면 울산지역 로컬푸드 농산물 사업 이 더욱 활성화되고 지속적으로 추진 될 수 있을 것으로 판단된다.

본 연구는 동물매개교육을 통해 대학생의 긍정심리자본에 미치는 영향을 알아 보기 위 하여 시행되었다. 연구방법은 단일군 전후 실험설계 방법을 설계로 진행하였다. 긍정심리 자본은 조직과 개인의 발전을 초래하는 개인의 긍정적인 심리 상태로 자기효능감, 희망, 낙관주의, 복원력으로 구성되어 있다. 동물매개교육이 대학생의 긍정심리자본향상에 영 향을 미친다는 것이 본 연구의 결과이다. 따라서 대학 교육에서 동물매개교육 프로그램을 도입하여 학생들의 긍정 심리자본을 향상시키는 데에 기여할 수 있을 것으로 기대된다.

Screening of Bacillus subtilis strains capable of producing extracellular hydrolases, including lipolytic enzyme was carried out. Within the scope of this study, total 61 strains were isolated from various domestic specific environmental samples such as seawater, soil, Jeju ranch, hot spring, salt farm, and fermented food and identified as Bacillus subtilis based on 16S rRNA sequences. Among the isolates, 4 strains had extracellular lipase activity. The growth profile of the strains revealed that 4 strains showed well growth at 50℃, 3 strains at 55℃, and pH 7.0. All strains could tolerate salinity up to 5%(w/v), 3 strains up to 10%(w/v), and only one strain showed growth at 15%(w/v). Additionally, amylolytic and proteolytic activities were detected in these strains. The highest lipolytic, amylolytic, and proteolytic activity was detected in Bacillus subtilis YS-YR 5A. These results demonstrate the potential application of extracellular hydrolase-producing Bacillus subtilis strains, especially strain YS-YR 5A, as fermentation starter to enhance the functionality and multiplication of functional natural products in the food/medicine/cosmetics/bio industries.

In this study, samples of sea anchor canopy cloth mainly used in Korean jigging fishing vessels were collected and tested for performance evaluation. The canopy cloth of sea anchor is a basic element of form composition that is known to have the greatest influence on anchor performance. In order to evaluate the performance of sea anchor canopy cloth, five types of samples were tested for new metric count, tensile strength, water vapour transmission rate and drying speed according to the national standard (KS), and some correlations were identified. As a result of the test, the new metric count of cloths was 335.5-443.4 denier in warp and 217-447.6 denier in weft, and the minimum tensile strength was 860 N in warp direction and 430 N in weft direction. The apparent number and tensile strength of cloth were proportional, the water vapour transmission rate of the sample was 206.8 g/m 2 h, and the drying speed was 90-100 min. This study partially confirmed the performance evaluation based on speculation by the standard test method, and further research is needed on the clear relationship between the research results and the performance of the sea anchor.

Purpose: This study aims to explore the students’ experiences of taking class in nursing philosophy at the graduate school of nursing. Methods: Data were collected through individual in-depth interviews with 18 participants who took nursing philosophy class. Core question was 'What is your experience of taking nursing philosophy class?' Verbatim transcripts were analyzed using content analysis. Results: Qualitative data analysis revealed nine theme clusters in four categories; 'The distance from philosophy that is too far to be friendly’, ‘Finding the academic roots of nursing',’The way to find answers through creative insights' and ‘Presenting a vision of nursing through reflection and maturity'. Conclusion: Nursing graduate students initially encountered challenging thoughts and a sense of detachment from reality when they embarked on their nursing philosophy class. However, nursing philosophy classes are essential for uncovering the academic foundations of nursing science, fostering creative insights, and navigating the actual clinical fields. This is particularly crucial because nurses frequently encounter numerous ethical dilemmas and critical decision-making situations. Nursing philosophy classes should be mandated as a required course for nursing graduate students, as they are responsible for shaping the future of nursing scholars.