• Molecules and Cells
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• v.47 no.2
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• pp.100031.1-100031.13
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• 2024

It is now well-accepted that obesity-induced inflammation plays an important role in the development of insulin resistance and type 2 diabetes. A key source of the inflammation is the murine epididymal and human visceral adipose tissue. The current paradigm is that obesity activates multiple proinflammatory immune cell types in adipose tissue, including adipose-tissue macrophages (ATMs), T Helper 1 (Th1) T cells, and natural killer (NK) cells, while concomitantly suppressing anti-inflammatory immune cells such as T Helper 2 (Th2) T cells and regulatory T cells (Tregs). A key feature of the current paradigm is that obesity induces the anti-inflammatory M2 ATMs in lean adipose tissue to polarize into proinflammatory M1 ATMs. However, recent single-cell transcriptomics studies suggest that the story is much more complex. Here we describe the single-cell genomics technologies that have been developed recently and the emerging results from studies using these technologies. While further studies are needed, it is clear that ATMs are highly heterogeneous. Moreover, while a variety of ATM clusters with quite distinct features have been found to be expanded by obesity, none truly resemble classical M1 ATMs. It is likely that single-cell transcriptomics technology will further revolutionize the field, thereby promoting our understanding of ATMs, adipose-tissue inflammation, and insulin resistance and accelerating the development of therapies for type 2 diabetes.

• Journal of KIISE
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• v.45 no.2
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• pp.113-125
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• 2018

Recently, with the advent of the Big Data era, we have gained the capability of acquiring vast amounts of knowledge from various fields. The collected knowledge is expressed by well-formed formula and in particular, OWL, a standard language of ontology, is a typical form of well-formed formula. The symbolic reasoning is actively being studied using large amounts of ontology data for extracting intrinsic information. However, most studies of this reasoning support the restricted rule expression based on Description Logic and they have limited applicability to the real world. Moreover, knowledge management for inaccurate information is required, since knowledge inferred from the wrong information will also generate more incorrect information based on the dependencies between the inference rules. Therefore, this paper suggests that the SWAT, knowledge management system should be combined with the SWRL (Semantic Web Rule Language) reasoning based on ATMS (Assumption-based Truth Maintenance System). Moreover, this system was constructed by combining with SWRL reasoning and ATMS for managing large ontology data based on the distributed In-memory framework. Based on this, the ATMS monitoring system allows users to easily detect and correct wrong knowledge. We used the LUBM (Lehigh University Benchmark) dataset for evaluating the suggested method which is managing the knowledge through the retraction of the wrong SWRL inference data on large data.

• Journal of Korea Spatial Information System Society
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• v.11 no.2
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• pp.162-169
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• 2009

The real-time traffic data is generated continuous and unbounded stream data type while intelligent transport system (ITS) needs to provide various and high quality services by combining with spatial information. Traditional database techniques in ITS has shortage for processing dynamic real-time stream data and static spatial data simultaneously. In this paper, we design and implement an advanced traffic monitoring system (ATMS) with the integration of existed data stream management system (DSMS) and spatial DBMS using IntraMap. Besides, the developed ATMS can deal with the stream data of DSMS, the trajectory data of relational DBMS, and the spatial data of SDBMS concurrently. The implemented ATMS supports historical and one time query, continuous query and combined query. Application programmer can develop various intelligent services such as moving trajectory tracking, k-nearest neighbor (KNN) query and dynamic intelligent navigation by using components of the ATMS.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.06a
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• pp.377-381
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• 2001

An ATMS(Assumption-based Truth Maintenance System) has been widely used for maintaining the truth of information by detecting and solving contradictions in nile-based systems. But the ATMS can not correctly maintain the truth of the information in case that the generated information is satisfied within a time interval or includes data about temporal relations of events in time varying situations, because it has no mechanism manipulating temporal data. In this paper, The extended ATMS method is proposed, which can maintain the truth of the information in the inference system using information changing over time or temporal relations of events. In order to maintain contexts generated by relations of events, the label representation method is modified, the disjunction, conjunction simplification method in the label-propagation procedure and nogood handling method of the conventional ATMS are modified, too.

• Journal of the Korean Geographical Society
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• v.39 no.5 s.104
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• pp.755-767
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• 2004

Based on a case study of bank's Automatic Teller Machines (ATMs) in Korea, this paper attempts to reveal dynamic changes occurring across the financial landscape with special emphasis on distribution pattern and location factors. Since the distribution of ATMs showed a concentrated pattern similar to that of bank branches, location quotients were examined to consider the effect of branches on ATM distribution. Furthermore, this study identified four factors that play pivotal roles in the location of ATMs. Compared to branch, location of ATM was more closely related to the population and demand factor, while the importance of local economy base and local economic power factor was reduced to some degree. This difference is attributable to the peculiar characteristic of the services offered by ATM. Lastly, demand factor turned out to be most influential in determining the ratio of ATMs to branches in each district, since lower deployment and operation costs allow ATMs to be more flexibly placed where demand for cash services is high.

• Journal of the Korea institute for structural maintenance and inspection
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• v.24 no.3
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• pp.87-95
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• 2020

As an experimental study on the corrosion behavior of steel materials to which ATMS method using EIS was applied in concrete, immersion of Ca(OH)₂ saturated aqueous solution and NaCl aqueous solution simulating the environment inside concrete The corrosion behavior was tested. The equivalent circuit was derived through the analysis of the Nyquist plot, and the interfacial resistance and the polarization resistance of the Ca(OH)₂ aqueous solution were compared, and Al ATMS was the best interfacial resistance and Zn ATMS was the best polarization resistance. After burying ATMS steel material of cement mortar, the initial immersion impedance measurement value was the highest in the Zn ATMS test body in the impedance measurement by the immersion time by immersing it in the NaCl aqueous solution. Al ATMS test piece has the highest impedance and is highly reliable. This is because Al, which has a high ionization tendency, is continuously oxidized in a strong alkaline environment to form a film and protect the steel from permeation of chlorine ions.

• Journal of Korean Society of Transportation
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• v.20 no.5
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• pp.231-244
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• 2002

현재 다양한 교통정보 서비스와 소통수준 제고를 목표로 국내 여러 도시에서 진행중인 첨단교통관리체계(ATMS)사업이 운영 또는 구축중에 있으며 도로상의 교통정보를 보다 정확히 수집하기 위해 다양한 종류의 차량검지시스템이 도입되고 있으나 기존 국내외 사례를 볼 때 제반 검지기의 성능평가 방안이 사업별로 상이한 기준으로 진행되었으며 객관적인 성능수준을 제시하지는 못하고 있는 것으로 나타났다. 이에 검지시스템의 성능을 평가하기 위한 과정을 최근의 서울시 내부순환로 교통관리시스템의 사례를 토대로 고찰한 결과 시공단계에서 지속적인 튜닝과 성능제고방안을 추진한다면 상당한 수준의 정확도 확보를 기대할 수 있음을 알 수 있었다. 또한 제시된 평가방안은 향후 보완을 거쳐 타 시스템에 있어 초기설치시 또는 유지관리시 성능의 척도로써 목표를 선정하고 활용하는 데 있어 하나의 대안으로 제시할 수 있을 것이다. 이에 제반 ATMS관련 연구기관에서는 시스템의 성능과 정확성을 좌우한다 해도 과언이 아닌 차량 검지기에 대한 성능평가 기준의 표준화 방안에 대한 연구를 진행하여, 검지기 성능제고를 위한 객관적인 기준목표와 각 검지기변 평가기준의 표준화 방안을 제시한다면 통행시간, 속도 등 제공정보의 신뢰성을 상당수준 향상시킴과 동시에 사업시행에 따른 시행착오를 최소화할 수 있을 것으로 기대한다.

• Journal of Biomedical Engineering Research
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• v.8 no.1
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• pp.29-40
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• 1987

2-Hydroxyethyl methacrylate(HEMA) was copolymerized with allyltrimethylsilane- (ATMS) and allylt.imethoxysilane(ATMOS) at 70。C in N, N'dimethylformamide- (DMV) using $\alpha$ , $\alpha$'-azobisisobutyronitrile(AIBN). The compositions of unreacted monomers were determined by gas chromatographic analysis. The monomer reactivity ratios were determined by Fireman-Ross, Helen-Tiidus and intersection methods. The average values are as follows : $$r_1(HEMA) : 6.62 $\pm$ 0.07, r_2(ATMS) : 0.07 $\pm$ 0.01 for HEMA-ATMS system.$$ $$r_l(HEMA) : 4.09 $\pm$ 0.14, r_2(ATMOS) : 0.06 $\pm$ 0.01 for HEMA-ATMOS toys tem.$$ The lower rl(HEMA) In the HEMA-ATMOS system as compared to HEMA ATMS system may be contributed to higher relative reactivity of ATMOS toward the poly(HEMA) radical. The compositions of synthesized copolymers were determined from silicon con tents estimated gravimetrically. The thermal stabilities of the copolymers were investigated by thermogravimetry(TG). The enthalpic changes associated with the endothermic transition were evaluated by differential scanning calorimetry(DSC). The swelling properties of the copolymers in water were also investigated.

• Journal of the Korean Wood Science and Technology
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• v.25 no.1
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• pp.1-7
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• 1997

Kraft oak lignin and ricestraw lignin from acetosolve pulping were dissolved in 50/50 mixture of tetralin/m-cresol solvent. The dissolved lignin was reacted in the pressurized autoclave which was operating at $350{\sim}500^{\circ}C$ of reaction temperature and 10~20 atms of reaction pressure respectively_Hydrogen pressure of 60~80kg/$cm^2$ was exercising into the pressurized autoclave reactor to create thermochemical hydrogenolysis reaction. It was identified by GLC, GC-MS and HPLC that the alkyl-aryl-${\beta}$-O-4 ether bond of lignin was cleaved and degraded into various smaller molecules of aromatic compound such as phenols and cresols under the reaction conditions around $300^{\circ}C$ and 10 atms of reaction temoerature and pressure. Hydrogenolysis reaction of lignin compound which was done above $500^{\circ}C$ of reaction temperature and 20 atms of reaction pressure showed that the amount of aromatic compound such as phenols and cresols degraded from reactant lignin was decreasing with newly present and increasing water out of product mixtures. It was supposed that new aliphatic compound of high molecular weight hydrocarbon is composed due to higher reaction temperature and pressure of hydrogenolysis reaction such as $500^{\circ}C$ and 20 atms, even though it was almost impossible, to identify what kind of degraded products it was by HPLC.

• The Journal of Internal Korean Medicine
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• v.39 no.4
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• pp.751-763
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• 2018

Objective: This study was undertaken to investigate how magnolia bark extract affects ob/ob mouse in terms of metabolic inflammation and insulin resistance. Methods: Leptin-deficient ob/ob mice were divided into 2 groups (n=5): a normal saline treatment (=control) and magnolia bark treatment. Wild type mice were the lean group (n=5). After 5 weeks, we measured fasting blood sugar (FBS) and conducted oral glucose tolerance tests (OGTTs) in each group. After 6 weeks, we measured body weight, epididymal fat pad weight, liver weight, serum glucose, serum insulin, and gene expression of tumor necrosis factor-${\alpha}$, interferon-${\gamma}$, and interleukin-6. We characterized the phenotype of adipose tissue macrophages (ATMs) and analyzed fractions of the phenotype in each group by flow cytometry. Results: In the magnolia bark group, fasting blood sugar, oral glucose tolerance levels, and insulin resistance (HOMA-IR) were significantly decreased. The population and proportion of ATMs among leukocytes in adipose tissue were significantly decreased in the magnolia bark group. The population and proportion of M1 type ATMs among ATMs were significantly decreased in the magnolia bark group. Gene expression of tumor necrosis factor-${\alpha}$ was significantly decreased in the magnolia bark group. Conclusions: These results support a positive effect of magnolia bark on metabolic diseases such as insulin resistance and metabolic inflammation in leptin-deficient ob/ob mice.