• Proceedings of the Korea Society of Environmental Biology Conference
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• 2002.11a
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• pp.33-37
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• 2002

The present was performed to identify the effects of tributyltin (TBT) in the immature mice testes. 3-week-old male ICR mice were orally administrated on one time basis of TBT dose of O (Vehicle control, VC), 25 (TBT 25 mg/kg, T$_{25}$ ), 50 (TBT 50 mg/kg, T$_{50}$ ), 100 (TBT 100 mg/kg, T$_{100}$ ) mg/kg per each one. After 3 days the time treated of TBT, mice were sacrified and wighted body, testis, epididymis, seminal vesicle, vas deferens, and prostate. As the result of weighing, wights of each oragan and gonad index were tendency decresed in comparing groups of TBT treated with that (C) of unteated (p <0.05). As the result of examination of steroid hormones in the immature male mice, The concentrations of serum and intratesticular testosterone were significatly increased rather than the control group. But concentrations of estradiol were decresed objectly. A group of the highest change of concentrations of steroid hormones is T$_{100}$ . The high dose group, T$_{100}$ , was decreased all of concentrations of steroid hormones rather than those of T$^{25}$ . The result of observation with histological changes in testis showed a tendency for innercellular wall to increase damage and extinction in seminiferous tubles. As the result of investigation apoptotic cell numbers in the testis using teminal deoxy-nucleotidyl transferase -mediated dUTP-digoxygenin nick end-labeling immunohistochemical straia, The ratio of Apoptic cells significantly was incensed in depending on treatment of TBT does. In conclusion, these results shows that TBT triggers apoptosis on reproductive cell in testis and changes level of concentrations of steroid hormones in the immature male mice , as endocrine disruptors (EDs).

• Environmental Mutagens and Carcinogens
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• v.20 no.1
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• pp.14-20
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• 2000

DHAQ-97, (2-(3-[p-bis(2-chloroethyl)aminophenyl]-2 formylaminopropanoyloxy) methy1-1,4-dihy-droxy-9,10-anthraquinone), is a novel anthraquinone derivative synthesized for use as an anti-neoplastic agent. In the present study, we have evaluated the selective cytotoxicity of DHAQ-97 by comparing its effects on viability and proliferation of human breast cancer cell line (NCF-7) versus normal immortalized breast epithelial cell line (MCF-10A). Thus, DHAQ-97 reduced both viability and proliferation of MCF-7 cells to a much greater extent than did for MCF-10A cells. The growth inhibitory and anti-proliferative properties of DHAQ-97 appear to be attributable to its ability to induce apoptosis as revealed by positive staining after in 냐셔 nick-end labeling (TUNEL), cleavage of poly(ADP-ribose)polymerase, release of mitochondrial cytochrome c into cytoplasm, and increased expression of pro-apoptotic Bax protein. Recent studies have indicated possible involvement of the ubiquitous eukaryotic transcription factor, NF-kappa B (NF-kB) in the regulation of apoptotic cell death. In line induced cytotoxicity in cultured MCF-7 cells. Furthermore, mild activation of NF-kB, as determined by its increased DNA binding capability, was observed 30 min after treatment with 10$\mu\textrm{m}$ DHAQ-97. Taken together, the above findings suggest that DHAQ-97 exerts selective cytotoxicity towards cancer cells through induction of apoptosis, which appears to be regulated by NF-kB.

• Journal of Radiopharmaceuticals and Molecular Probes
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• v.8 no.2
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• pp.77-85
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• 2022

The Td05 and Sgc8c, DNA-based aptamers, are well-known to target internalized surface markers (IGHM and PTK7) of Burkitt's lymphoma and acute lymphoblastic leukemia (ALL). Thus, Td05 and Sgc8c labeled with metallic radioisotope ⁶⁴Cu can be evaluated as potential diagnostic PET imaging agents. In this study, we modified the carbon chain length of the last adenosine of aptamer (n = 3, 6, 12) to increase tumor cell uptake and select the best candidate among six types of aptamer analogues and one adenosine of aptamer. After labeling of ⁶⁴Cu, [⁶⁴Cu]Cu-DOTA-aptamer analogues were evaluated in vitro studies (serum stability, Log P values, cell uptake, biodistribution). Then, we evaluate in vivo PET imaging study for two candidates (⁶⁴Cu-DOTA-C12-Sgc8c, ⁶⁴Cu-DOTA-C6-Td05). PET images clearly visualize tumors at 24 h post-injection rather than at an early time point and the tumor-to-background ratio also increases at the delay time point. ⁶⁴Cu-DOTA-C12-Sgc8c and ⁶⁴Cu-DOTA-C6-Td05 could be used as potential radiotracers for lymphoma.

• Korean Journal of Community Nutrition
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• v.20 no.6
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• pp.433-446
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• 2015

Objectives: This study was performed to evaluate the consumer education program for reducing sodium intake based on social cognitive theory (SCT) and investigate consumer perceptions of environmental, cognitive and behavioral factors. Methods: Consumers (n=4,439) were recruited nationwide in Korea to participate in a nutrition education program for reducing sodium intake which was targeted on senior housewives (SH), parents (P), and office workers (OW). Questions regarding main factors of SCT were asked both before and after the education program. Results: SH and P recognized external social efforts and information to reduce sodium including nutrition labeling more than OW. The main barriers to practice reducing sodium intake were limited choice of low sodium food and menu, interference with social relationship when dining with others, and limited information, knowledge and skills. SH had lower barriers to practice reducing sodium intake and OW perceived 'preference to soup or stew' and 'preference to Kimchi, salted fish and fermented sauces' as barriers more than other groups at the baseline. Less than 50% of participants knew the relationship between sodium and salt, sodium in nutrition labeling, and recommended sodium intake. In addition, OW had little knowledge for capability to reduce sodium intake and lower self-efficacy to practice compared with SH and P. After education, positive outcome expectations such as lowering blood pressure, prevention of cardiovascular disease and osteoporosis were increased and barriers to practice reducing sodium intake were decreased in all groups (p < 0.05). The knowledge for behavioral capability and self-efficacy to reduce sodium intake were also improved but OW had still lower scores compared with other groups. Conclusions: These results suggested that nutrition education programs could be an effective tool to impact general population by facilitating awareness and increased capability to reduce sodium intake.

• Journal of Microbiology and Biotechnology
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• v.14 no.6
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• pp.1239-1248
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• 2004

The methylotrophic yeast Hansenula polymorpha has been extensively studied as a model organism for methanol metabolism and peroxisome biogenesis. Recently, this yeast has also attracted attention as a promising host organism for recombinant protein production. Here, we describe the fabrication and evaluation of a DNA chip spotted with 382 open reading frames (ORFs) of H. polymorpha. Each ORF was PCR-amplified using gene-specific primer sets, of which the forward primers had 5'-aminolink. The PCR products were printed in duplicate onto the aldehyde-coated slide glasses to link only the coding strands to the surface of the slide via covalent coupling between amine and aldehyde groups. With the partial genome DNA chip, we compared efficiency of direct and indirect cDNA target labeling methods, and found that the indirect method, using fluorescent-labeled dendrimers, generated a higher hybridization signal-to-noise ratio than the direct method, using cDNA targets labeled by incorporation of fluorescence-labeled nucIeotides during reverse transcription. In addition, to assess the quality of this DNA chip, we analyzed the expression profiles of H. polymorpha cells grown on different carbon sources, such as glucose and methanol, and also those of cells treated with the superoxide­generating drug, menadione. The profiles obtained showed a high-level induction of a set of ORFs involved in methanol metabolism and oxidative stress response in the presence of methanol and menadione, respectively. The results demonstrate the sensitivity and reliability of our arrays to analyze global gene expression changes of H. polymorpha under defined environmental conditions.

• Clean Technology
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• v.18 no.4
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• pp.440-445
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• 2012

15 carbon footprint product (CFP) schemes, including Korea Carbon Footprint Label, UK Carbon Trust's Carbon Reduction Label and Japan CFP are implemented in the world. A CFP describes green house gases (GHGs) emissions emitted throughout product's life cycle and is intended to reduce GHGs emissions by labeling a CFP result on product. This study calculates Korea, UK and Japan CFP result of vacuum cleaner, detergent, packagin material in order to analyze the Korea, UK and Japan CFP standards. Our results demonstrate significant differences among then calculated results because of criteria, emission factors, etc. Therefore, there are many difficulties in providing various CFP results and the international standard and guidelines for product category are needed.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.1286-1288
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• 2024

The construction industry, known for its inherent risks and multiple hazards, necessitates effective solutions for hazard identification and mitigation [1]. To address this need, the implementation of machine learning models specializing in object detection has become increasingly important because this technological approach plays a crucial role in augmenting worker safety by proactively recognizing potential dangers on construction sites [2], [3]. However, the challenge in training these models lies in obtaining accurately labeled datasets, as conventional methods require labor-intensive labeling or costly measurements [4]. To circumvent these challenges, synthetic data generation (SDG) has emerged as a key method for creating realistic and diverse training scenarios [5], [6]. The paper reviews the evolution of synthetic data generation tools, highlighting the shift from earlier solutions like Synthpop and Data Synthesizer to advanced game engines[7]. Among the various gaming platforms, Unity 3D and Unreal Engine stand out due to their advanced capabilities in replicating realistic construction hazard environments [8], [9]. Comparing Unity 3D and Unreal Engine is crucial for evaluating their effectiveness in SDG, aiding developers in selecting the appropriate platform for their needs. For this purpose, this paper conducts a comparative analysis of both engines assessing their ability to create high-fidelity interactive environments. To thoroughly evaluate the suitability of these engines for generating synthetic data in construction site simulations, the focus relies on graphical realism, developer-friendliness, and user interaction capabilities. This evaluation considers these key aspects as they are essential for replicating realistic construction sites, ensuring both high visual fidelity and ease of use for developers. Firstly, graphical realism is crucial for training ML models to recognize the nuanced nature of construction environments. In this aspect, Unreal Engine stands out with its superior graphics quality compared to Unity 3D which typically considered to have less graphical prowess [10]. Secondly, developer-friendliness is vital for those generating synthetic data. Research indicates that Unity 3D is praised for its user-friendly interface and the use of C# scripting, which is widely used in educational settings, making it a popular choice for those new to game development or synthetic data generation. Whereas Unreal Engine, while offering powerful capabilities in terms of realistic graphics, is often viewed as more complex due to its use of C++ scripting and the blueprint system. While the blueprint system is a visual scripting tool that does not require traditional coding, it can be intricate and may present a steeper learning curve, especially for those without prior experience in game development [11]. Lastly, regarding user interaction capabilities, Unity 3D is known for its intuitive interface and versatility, particularly in VR/AR development for various skill levels. In contrast, Unreal Engine, with its advanced graphics and blueprint scripting, is better suited for creating high-end, immersive experiences [12]. Based on current insights, this comparative analysis underscores the user-friendly interface and adaptability of Unity 3D, featuring a built-in perception package that facilitates automatic labeling for SDG [13]. This functionality enhances accessibility and simplifies the SDG process for users. Conversely, Unreal Engine is distinguished by its advanced graphics and realistic rendering capabilities. It offers plugins like EasySynth (which does not provide automatic labeling) and NDDS for SDG [14], [15]. The development complexity associated with Unreal Engine presents challenges for novice users, whereas the more approachable platform of Unity 3D is advantageous for beginners. This research provides an in-depth review of the latest advancements in SDG, shedding light on potential future research and development directions. The study concludes that the integration of such game engines in ML model training markedly enhances hazard recognition and decision-making skills among construction professionals, thereby significantly advancing data acquisition for machine learning in construction safety monitoring.

• Journal of Environmental Health Sciences
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• v.40 no.5
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• pp.331-345
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• 2014

Objectives: The exponential growth of chemicals, an area of high concern in developed countries like the US (i.e., the Gore Initiative) and in the EU (i.e., REACH), as well as recent chemical accidents in Korea, have provoked nationwide concerns and resultant legal enforcement. This study aims to compare the laws of the Ministry of Environment (the Chemical Substances Control Act (CSCA), Act on the Registration and Evaluation, etc. of Chemical Substances (ARECS)) with those of the Ministry of the Employment and Labor (Occupational Safety and Health Act (OSHA)). Methods: Each law pertaining to the Ministry of Environment and the Ministry of the Employment and Labor was downloaded from the official legal information system (www.law.go.kr). The objectives of each law and the major contents related to chemical management were compared and summarized. Results: The CSCA and the ARECS are focused on the protection of people and the environment, while the OSHA relates to the protection of workers. The right to know of people and workers has been reinforced. The former two laws emphasize prevention, but the OSHA contains both preventive and post-accident measures. The role of the Ministry of Employment was reinforced with the promulgation of the CSCA and ARECS, which contain regulations such as adjacent area impact evaluation, risk control planning, chemical statistical survey and construction and operation of information, provision of risk control plans, response to chemical accidents and registration of chemical substances. Conclusion: We found that the three laws discussed here have several similar clauses designed to protect people and the environment from risks that may be caused by the use of chemicals, even though there are some differences among them in terms of objectives and contents. This review concluded that several clauses that can be regarded as double regulation should be unified in order to minimize the waste of government administrative resources and socio-economic losses.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1407-1422
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• 2022

This study was conducted to classify tree species and assess the classification accuracy, using SE-Inception, a classification-based deep learning model. The input images of the dataset used Worldview-3 and GeoEye-1 images, and the size of the input images was divided into 10 × 10 m, 30 × 30 m, and 50 × 50 m to compare and evaluate the accuracy of classification of tree species. The label data was divided into five tree species (Pinus densiflora, Pinus koraiensis, Larix kaempferi, Abies holophylla Maxim. and Quercus) by visually interpreting the divided image, and then labeling was performed manually. The dataset constructed a total of 2,429 images, of which about 85% was used as learning data and about 15% as verification data. As a result of classification using the deep learning model, the overall accuracy of up to 78% was achieved when using the Worldview-3 image, the accuracy of up to 84% when using the GeoEye-1 image, and the classification accuracy was high performance. In particular, Quercus showed high accuracy of more than 85% in F₁ regardless of the input image size, but trees with similar spectral characteristics such as Pinus densiflora and Pinus koraiensis had many errors. Therefore, there may be limitations in extracting feature amount only with spectral information of satellite images, and classification accuracy may be improved by using images containing various pattern information such as vegetation index and Gray-Level Co-occurrence Matrix (GLCM).

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.22 no.3
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• pp.203-207
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• 2012

The noise emitted from an excavator has long been a cause of environmental disputes, while causing displeasure to the nearby residents. So, the ministry of environment adopted the construction machinery noise labeling system to encourage the construction machinery manufacturing companies to develop the low noise construction machinery voluntarily. But, as the quality of life improves, a growing number of people desire the comfortable and quite environment to live in. Under the situation, noise from the construction machinery has been a major cause for stress and complaints. When the noise dispute happened in the construction site, the sound pressure level of the construction machinery like a excavator was measured at the lot boundary of the noise victim's residence to judge how much noise damage occur. But the sound pressure level of the construction machinery is measured differently according to the acoustic environment of construction site and the measuring position, respectively, which makes it difficulty to judge whether the noise damage occur or not. As the sound power level of noise source is not affected by the acoustic environment of construction site and the measuring position, if we use the information of the sound power level, it will be easy to judge whether the noise damage occur and to establish the soundproofing measures. Therefore, we derive the sound power level regression model of the excavator to judge whether the noise emitted from the excavator damages to residents near the construction site. Also, the sound power level regression model of the excavator drawn in this paper will help construction companies to plan the noise reduction program in the construction sites.