Journal of the Korean Association of Oral and Maxillofacial Surgeons
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v.32
no.2
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pp.142-150
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2006
PURPOSE : The 3rd molar extraction of mandible is common in out-patient office of oral and maxillofacial surgery. And it is dynamic minor operation with changes of vital signs. most of patients are already sensitive about their dental treatment. The changes of emotion are reached to the highest level when patients is laid down to be treated on unit chair. It can be induced to undesirable accidents as to this fear. The undesirable complications are nausea, vomiting, hyperventilation, dyspnea, syncope, shock and so on. The severe changes of vital signs may influence their behavior and make serious medical malpractice or suit such as fracture of dental instruments and injury of proximal area. METHOD AND PATIENTS : A total of 99 selected normal patients were reviewed. Among this, 70 patients(43 men, 27 women with statistical significance) were included in this study. Each steps(pre-anesthesis, 5 minutes after anesthesis, just after mucogingival incision, just after tooth section, just after suture and gauze biting) were investigated for a change of a vital signs. It is analyzed to 2 categories,"Means" and "Tendency". The "Means" is the amount of vital signs changed in comparison with pre-step during operation. That means is the amount of vital changes by each step operation. Next, " Tendency" is changes of vital signs in comparison with step1 during operation. RESULT : This is the changing tendency of vital signs with time. That is active effect of fear and pain. Thus this "Means" and "Tendency" will present a sudden changes of vital signs and it can lead to more safe treatment. CONCLUSION : Thus, the purpose of this study is, through careful operation in each step, to less on patients' complication and increase trust between patient and OMFS. This study is a first article shown with the amount of "Means" and "Tendency" in vital signs, when a third molar of mandible is extracted. This study will be base study of patients with general diseases, because it selected only patients without general diseases.
Journal of the Society of Cosmetic Scientists of Korea
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v.35
no.1
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pp.41-46
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2009
Problems with scalp lead to hair loss, dandruff, itchiness, and other illness. No clear causes of these problems have been found and it is difficult to treat them. Therefore, the best way to prevent and treat any problems with scalp is to maintain physiological homeostasis of scalp to keep it healthy. Recently, many scalp and hair product brands have attempted to use medicinal herbs which have been extracted in hot water and mixed with other ingredients due to mass-production and standardization issues. However, many nutrients and active substances are destroyed by hot-water extraction. Therefore, this study has applied low-temperature rendering to minimize destruction of substances to extract black beans, peony, and green tea that are known to improve conditions of scalp. Then, their contribution to the improvement of scalp health was assessed. In result, it was found that low-temperature rendering retains over two times greater anti-oxidizing strengths than hot-water extraction and that the extracts from low-temperature rendering effectively strengthen follicles and hair, moisturize scalp, and prevent itchiness. Therefore, low-temperature rendered black beans, peony, and green tea extracts can be used to make effective scalp treatments.
Applicability of bioleaching techniques using a sulfur-oxidizing bacteria, Acidithiobacillus thiooxidans, for remediation of shooting range soil contaminated with toxic heavy metals was investigated. The effects of sulfur concentration, the amount of bacterial inoculum and operation temperature on the efficiency of heavy metal solubilization were examined as well. As sulfur concentration and the amount of bacterial inoculum increased, the solubilization efficiency slightly increased; however, significant decrease of heavy metal extraction was observed with no addition of sulfur or bacterial inoculum. Bacteria solubilized the higher amount of heavy metals at $26^{\circ}C$ than $4^{\circ}C$. Lead showed the highest removal amount from the contaminated soil but the lowest removal efficiency when compared with Zn, Cu and Cr. It was likely due to formation of insoluble $PbSO_{4(s)}$ as precipitate or colloidal suspension. Sequential extraction of the microbially treated soil revealed that the proportion of readily extractable phases of Zn, Cu and Cr increased by bacterial leaching, and thus additional treatment or optimization of operation conditions such as leaching time were required for safe reuse of the soil. Bioleaching appeared to be a useful strategy for remediation of shooting range soil contaminated with heavy metals, and various operating conditions including concentration of sulfur input, inoculum volume of bacteria, and operation temperature exerted significant influence on bioleaching efficiency.
Kim, In Ja;Kim, Rog-Young;Kim, Ji In;Kim, Hyoung Seop;Noh, Hoe-Jung;Kim, Tae Seung;Yoon, Jeong-Ki;Park, Gyoung-Hun;Ok, Yong Sik;Jung, Hyun-Sung
Korean Journal of Soil Science and Fertilizer
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v.48
no.5
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pp.332-339
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2015
The objective of this study was to evaluate the effectiveness of different biochars on the removal of heavy metals from aqueous media. The experiment was carried out in aqueous solutions containing $200mg\;CdL^{-1}$ or $200mg\;PbL^{-1}$ using two different biochars derived from soybean stover and orange peel (20 mg Cd or $Pbg^{-1}$ biochar). After shaking for 24 hours, biochars were filtered out, and Cd and Pb in the filtrate were analyzed by flame atomic absorption spectrophotometer (FAAS). In order to provide information regarding metal binding strength on biochars, sequential extraction was performed by modified SM&T (formerly BCR). The results showed that 70~100% of initially added Cd and Pb was adsorbed on biochars and removed from aqueous solution. The removal rate of Pb (95%, 100%) was higher than that of Cd (70%, 91%). In the case of Cd, orange peel derived biochar (91%) showed higher adsorption rate than soybean stover derived biochar (70%). Cd was adsorbed on the biochar mainly in exchangeable and carbonates fraction (1st phase). In contrast, Pb was adsorbed on it mainly in the form of Fe-Mn oxides and residual fraction (2nd and 4th phase). The existence of Cd and Pb as a form of surface-precipitated complex was also observed on the surfaces of biochars detected by field emission scanning electron microscope (FESEM) and energy dispersive X-ray spectrometer (EDAX).
Melanin is a natural pigment found in most plants and animals, and it is involved in determining the color of the skin and hair. Melanogenesis is a reactive occurrence in melanocytes aiming to protect the skin from external stimuli, such as ultraviolet rays. Tyrosine is involved in the biosynthesis of the substrate tyrosine into melanin. However, melanin overproduction can lead to skin diseases, such as melasma, blotching, hyperpigmentation, and skin cancer. Although many studies have been conducted on whitening substances, such as kojic acid and arbutin, some countries have banned or refrained from using them due to their side effects. Therefore, this study assessed the potential of horseradish (HR) as a new whitening agent in cosmetic products. For efficient extraction, subcritical water extraction was conducted. The results showed that the horseradish subcritical water 200℃ (SW 200) extract showed high DPPH radical scavenging ability, total phenolic contents (TPC), inhibiting tyrosinase activity and inhibiting melanin production of B16-F10 melanoma cell lines. To investigate its cytotoxicity to the B16-F10 melanoma cell lines, MTT reduction assay and morphological changes were observed. No cytotoxicity was found in horseradish methanol extract and SW 200. In conclusion, this research suggests the possibility of horseradish subcritical water may be useful as a natural whitening ingredient to be used in cosmetic products.
A study was conducted to determine the influence of soil chemical properties on the distribution and forms of cadmium (Cd), lead (Pb), copper(Cu) and Zinc(Zn) in paddy soils near zinc mines. A sequential extraction procedure was used to fractionate the heavy metals in soils into the designated from of water soluble, exchangeable, organically bound, oxide/carbonate, and sulfide/residual. The predominant form of Cd, Pb, Cu and Zn in the soils was found to be sulfide/residual form. Oxide/carbonate Cd and Pb and organically bound Cu were high, while exchangeable Pb and Cu were very low. Water soluble Cd, Pb and Cu were not detected in the soils. The percentages of the heavy metals content in exchangeable fractions were inversely correlated with those in sulfide/residual fractions in the soils. Exchangeable Cd and Zn and the oxide/carbonate Pb were shifting to the sulfide/residual form with soil depth and the chemical forms of Cu were not changed. Organically bound Cu was positively correlated with soil organic matter content but Cd, Pb and Zn were not. The percentages of Cd, Pb and Zn content in exchangeable forms decreased with soil pH, while those in oxide/carbonate and sulfide/residual forms increased with soil pH. The amounts of oxide/carbonate and sulfide/residual forms of pb were higher than those of Cd and Zn at same soil pH.
This study investigated the mobility of inorganic elements (As, Cd, Pb, and Zn) that existed as acid extractable and reducible forms in flooded soils with a pot experiment involving rice cultivation. In general, it is known that soil inorganic elements that existed as an acid extractable form which includes exchangeable, carbonates, non-specifically sorbed, and specifically sorbed have mobility. However, the result of the experiment revealed that each inorganic elements of rice roots grown from flooded soils had different characteristics. The concentrations of Arsenic existed as both forms and the concentrations of cadmium and lead existed as a reducible form in the soils showed a high causal relationship with the concentrations of those elements in the roots of rice plants. The concentrations of zinc, an essential plant element, didn't show a causal relationship. Therefore it is necessary to consider the soil's environmental characteristics such as drained/flooded condition, oxidation/reduction condition, etc. for the mobility assessment of inorganic elements. The concentrations of the reducible form of arsenic, cadmium, and lead in flooded environment such as a paddy field should be also considered because the mobility of these elements combined with Fe/Mn increases in the reduction condition.
In this paper, we propose a CAD software framework to automatically generate a shop drawing. Shop drawing is to draw the geometric figures representing an arrangement of steel bars for a concrete building on its structural design, based on its construction specifications and the design rules, and its well-formed process lead to be automated. A key point of the design automation is to minimize the user interactions by automatically recognizing the design specifications and to finally generate the shape of the geometric figures. The graphic pipeline of the proposed framework consists of four stages; a specification DB, specification extraction, binding, and rendering. To effectively extract all specifications only for a figure from the DB and bind them to its shape, we use a hierarchical approach; the specifications are classified into three common, structural, and figure classes, and each attribute is extracted in design phases. Based on our framework, we implemented a specialized CAD for shop drawing using AutoCAD and could easily update it according to user's demands.
Journal of the korean academy of Pediatric Dentistry
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v.26
no.2
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pp.232-239
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1999
Exfoliation of the primary teeth and eruption of the permanent teeth is a normal and predictable physiologic process. The accurate prediction of tooth development is of major importance in treatment planning for children. Norms that correspond to the child's age and development have been determined by many investigators. However, there are a variety of factors that may hasten, retard, or otherwise affect the normal developmental process. Among the factors that influence tooth eruption is the premature loss of primary teeth. An abscess of a primary molar, followed by bone resorption and early extraction or exfoliation may lead to premature eruprion of the permanent succesor, and a variety of clinical sequelae. I, hereby present the patients who have prematurely erupted permanent successor in Seoul National University Hospital Pediatric Dentistry, and report the clinical and radiologic characteristics, its sequelae, proper managements, and followed up findings.
This introduction is both a statement of a research problem and an account of the first research results for its solution. As more historical databases come online and overlap in coverage, we need to discuss the two main issues that prevent 'big' results from emerging so far. Firstly, historical data are seen by computer science people as unstructured, that is, historical records cannot be easily decomposed into unambiguous fields, like in population (birth and death records) and taxation data. Secondly, machine-learning tools developed for structured data cannot be applied as they are for historical research. We propose a complex network, narrative-driven approach to mining historical databases. In such a time-integrated network obtained by overlaying records from historical databases, the nodes are actors, while thelinks are actions. In the case study that we present (the world as seen from Venice, 1205-1533), the actors are governments, while the actions are limited to war, trade, and treaty to keep the case study tractable. We then identify key periods, key events, and hence key actors, key locations through a time-resolved examination of the actions. This tool allows historians to deal with historical data issues (e.g., source provenance identification, event validation, trade-conflict-diplomacy relationships, etc.). On a higher level, this automatic extraction of key narratives from a historical database allows historians to formulate hypotheses on the courses of history, and also allow them to test these hypotheses in other actions or in additional data sets. Our vision is that this narrative-driven analysis of historical data can lead to the development of multiple scale agent-based models, which can be simulated on a computer to generate ensembles of counterfactual histories that would deepen our understanding of how our actual history developed the way it did. The generation of such narratives, automatically and in a scalable way, will revolutionize the practice of history as a discipline, because historical knowledge, that is the treasure of human experiences (i.e. the heritage of the world), will become what might be inherited by machine learning algorithms and used in smart cities to highlight and explain present ties and illustrate potential future scenarios and visionarios.
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