• Korean Journal of Soil Science and Fertilizer
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• v.45 no.1
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• pp.112-117
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• 2012

The Revised Universal Soil Loss Equation (RUSLE) is a revision of the Universal Soil Loss Equation (USLE). However, changes for each factor of the USLE have been made in RUSLE which can be used to compute soil loss on areas only where significant overland flow occurs. RUSLE which requires standardized methods to satisfy new data requirements estimates soil movement at a particular site by utilizing the same factorial approach employed by the USLE. The rainfall erosivity in the RUSLE expressed through the R-factor to quantify the effect of raindrop impact and to reflect the amount and rate of runoff likely is associated with the rain. Calculating the R-factor value in the RUSLE equation to predict the related soil loss may be possible to analyse the variability of rainfall erosivity with long time-series of concerned rainfall data. However, daily time step models cannot return proper estimates when run on other specific rainfall patters such as storm and daily cumulative precipitation. Therefore, it is desirable that cross-checking is carried out amongst different time-aggregations typical rainfall event may cause error in estimating the potential soil loss in definite conditions.

• Journal of Microbiology and Biotechnology
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• v.29 no.4
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• pp.548-557
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• 2019

Staphylococcus species have a ubiquitous habitat in a wide range of foods, thus the ability to identify staphylococci at the species level is critical in the food industry. In this study, we performed rapid identification of Staphylococcus species using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight mass spectrometry (MALDI-TOF MS). MALDI-TOF MS was evaluated for the identification of Staphylococcus reference strains (n = 19) and isolates (n = 96) from various foods with consideration for the impact of sample preparation methods and incubation period. Additionally, the spectra of isolated Staphylococcus strains were analyzed using principal component analysis (PCA) and a main spectra profile (MSP)-based dendrogram. MALDI-TOF MS accurately identified Staphylococcus reference strains and isolated strains: the highest performance was by the EX method (83.3~89.5% accuracy) at species level identification (EDT, 70.3~78.9% accuracy; DT, less than 46.3~63.2% accuracy) of 24-h cultured colonies. Identification results at the genus level were 100% accurate at EDT, EX sample preparation and 24-h incubation time. On the other hand, the DT method showed relatively low identification accuracy in all extraction methods and incubation times. The analyzed spectra and MSP-based dendrogram showed that the isolated Staphylococcus strains were characterized at the species level. The performance analysis of MALDI-TOF MS shows the method has the potential ability to discriminate between Staphylococcus species from foods in Korea. This study provides valuable information that MALDI-TOF MS can be applied to monitor microbial populations and pathogenic bacteria in the food industry thereby contributing to food safety.

• Proceedings of the KSRS Conference
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• v.1
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• pp.340-343
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• 2006

Remote sensing science is a rapidly growing field of Earth sciences. Since emergence and to present day, an extensive literature has evolved which traces the wide application of remote sensing in human activities. According to the ISI Web of Science in the 1975-2005 time span more then 20,000 papers were published on remote sensing. The number of papers grew exponentially with doubling period of about 6 years. Notwithstanding all specialized proceedings, there is a lot more remote sensing papers published in a vast list of source titles (up to 350 proceedings). Only 25% of retrieved papers are published in 10 proceedings which ISI assigns to subject category of remote sensing. In 2005 all these proceedings published 1291 articles and received cca 24,000 citations. Average impact factor of the proceedings is equal to 1.181 and average cited half-life is 7.1. It means that an average paper in remote sensing proceedings is cited more then once per year and half of citations the paper receive within the next 7 years after publication. The time line of remote sensing periodicals issued in 1927-1995 shows an exponential growth with doubling period about 15 years. After 1995 there is a prominent deviation from the exponential curve which shows the demand saturation for specialized proceedings. The features revealed are discussed in terms of dynamics and impact of remote sensing in current Earth sciences development.

• Journal of Community Nutrition
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• v.5 no.4
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• pp.230-238
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• 2003

Television is a powerful and persuasive teacher. It has the potential to influence perceptions, knowledge, beliefs, and behaviors, thus nutritionists need to be aware of the nutrition-related information (NRI) in television programming and the effect this information has on viewers. The purpose of this article was to review research published in peer-reviewed journals between 1988 and 2003 that examined the NRI embedded in American television programming, which is exported to over 125 nations, and its impact on nutrition knowledge, attitudes, and/or behaviors. This review revealed that, for the past 15 years, NRI was commonly included in both television advertisements and shows. Advertised foods were mainly high in fat, sodium, and/or sugar. In addition, the NRI embedded in food advertisements tended to be misleading or inaccurate. Prime-time television shows included numerous NRI containing scenes every hour, with situation comedies having the most and real-life re-enactment shows the least. Overall, low nutrient density foods accounted for approximately 40 percent or more of all food references on prime-time television shows. In television shows, foods were mostly consumed as snacks rather than meals and children often ate more nutritious foods than adults. Although relatively few studies have examined the impact of television programming on viewers, those that do exist indicate that as children watch more television, nutrition knowledge and understanding declines while misconceptions about nutrition increase. Advertising influences children's food purchase requests and subsequent purchases by adults, with the most requested and purchased foods being high in sugar, fat, and/or salt foods. Existing research indicates that television must be acknowledged as a major source of NRI and a potentially powerful influence on dietary practices.

• Food Science of Animal Resources
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• v.42 no.4
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• pp.689-711
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• 2022

The purpose of our study was to determine the impact of rosemary extract in duck eggs, as determined by in vitro antioxidant capacity, lipid oxidation, fatty acid profiles, and flavor analyses. Three groups of salted duck eggs were compared: A control group and group enriched with 0.1% and 0.5% (w/v) rosemary extracts for 28 days of salting. In a time-dependent manner, the radical scavenging activity and reduction power of eggs with 0.5% (w/v) rosemary extract were significantly higher those of the control at 28 days after salting. The fatty acid profiles of salted egg were significantly affected by rosemary extract and salting time. Palmitic acid was the most abundant fatty acid in salted egg treated with rosemary extract, followed by linoleic acid and arachidonic acid. Furthermore, the treated eggs contained more docosahexaenoic acid than the control ones. And the treated eggs also have a considerable impact on the lipid oxidation process (primary and secondary oxidation). As a result, rosemary extract can be used as a natural antioxidant spice to prevent oxidation and extend the shelf life of eggs during storage. Furthermore, flavor research using solid phase microextraction - gas chromatography - mass spectrometry and an electronic nose demonstrated that adding rosemary extract to salted eggs could give them a distinct flavor.

• Journal of Family Resource Management and Policy Review
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• v.20 no.3
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• pp.25-43
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• 2016

This study focused on the time use of a dual-earner working group with preschool children on working and nonworking days using 2014 time-use survey data provided by Statistics Korea(KOSTAT). We collected the time-use data recorded in a 2,158 time diary. We divided the time use into 4 parts ; paid work, household labor work (including caring work), leisure and living essentials. For the statistical analysis, we used SPSS 18.0 packages, i.e., descriptive statistics, T-test, Anova with Duncan test and regression for the impact off the independent factors. The results verified gender differences in time use and recognized the usefulness of the time-allocation analysis for the diagnosis of Work and Life Balance(WLB). In the conclusion, we suggest increasing men's time allocation for household labor as a crucial solution to the WLB of dual-earner working groups. And the follow-up study should include the various factors that affect the time allocation of dual-earner groups, such as type of labor and job and children's ages.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.5
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• pp.949-966
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• 2013

Recently, Wireless Body Area Network (WBAN) has promise to revolutionize human daily life. The need for multiple sensors and constant monitoring lead these systems to be energy hungry and expensive with short operating lifetimes. In this paper, we offer a review of existing work of WBAN and focus on energy-aware management in it. We emphasize that nodes computation, wireless communication, topology deployment and energy scavenging are main domains for making a long-lived WBAN. We study the popular power management technique Dynamic Voltage and Frequency Scaling (DVFS) and identify the impact of slack time in Dynamic Power Management (DPM), and finally propose an enhanced dynamic power management method to schedule scaled jobs at slack time with the goal of saving energy and keeping system reliability. Theoretical and experimental evaluations exhibit the effectiveness and efficiency of the proposed method.

• Journal of Korean Academy of Nursing Administration
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• v.19 no.1
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• pp.17-27
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• 2013

Purpose: This study was done to explore how nurses manage the boundary for work-family balance. Methods: Data were collected through in-depth interviews from February 1 to May 28, 2012. Participants were 13 married nurses with children. The constant comparative method was adapted for data analysis. Results: In this study, nurses' work-family boundary management had characteristics of integration, maintenance and control, but it was adjusted and modified over time as the order of priorities was rearranged according to changes in internal cognition and family support. Nurses strategically persuaded their families to understand their work and share housework in an effort to integrate work and family, while controlling them by managing working hours and time for themselves. Conclusion: The results of the study indicate that nurses' work has an impact on family life due to heavy workload and insufficient time, however the work-family balance can be successfully maintained with the effective separation of the two areas.

• International journal of advanced smart convergence
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• v.7 no.4
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• pp.27-39
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• 2018

Since the global positioning system (GPS) has been included in mobile devices (e.g., for car navigation, in smartphones, and in smart watches), the impact of personal GPS log data on daily life has been unprecedented. For example, such log data have been used to solve public problems, such as mass transit traffic patterns, finding optimum travelers' routes, and determining prospective business zones. However, a real-time analysis technique for GPS log data has been unattainable due to theoretical limitations. We introduced a machine learning model in order to resolve the limitation. In this paper presents a new, three-stage real-time prediction model for a person's daily route activity. In the first stage, a machine learning-based clustering algorithm is adopted for place detection. The training data set was a personal GPS tracking history. In the second stage, prediction of a new person's transient mode is studied. In the third stage, to represent the person's activity on those daily routes, inference rules are applied.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.24 no.1
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• pp.117-123
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• 2015

The need for drop simulations for board-leveled flip chips in micro-system packaging has been increasing. There have been many studies on flip chips with various solder ball compositions. However, studies on flip chips with Sn-1.0Ag-0.5Cu and Sn-3.0Ag-0.5Cu have rarely been attempted because of the unknown material properties. According to recent studies, drop simulations with these solder ball compositions have proven feasible. In this study, predictions of the impact lifetime by drop simulations are performed considering Cu and Cu/Ni UBMs using LS-DYNA to alter the design parameters of the flip chips, such as thickness of the flip chip and size of the solder ball. It was found that a smaller chip thickness, larger solder ball diameter, and using the Cu/Ni UBM can improve the drop lifetime of solder balls.