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Risk Factors for Recurrent Abdominal Pain in Children with Nonorganic Acute Abdominal Pain

  • Piriyakitphaiboon, Varisa;Sirinam, Salin;Noipayak, Pongsak;Sirivichayakul, Chukiat;Pornrattanarungsri, Suwanna;Limkittikul, Kriengsak
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.25 no.2
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    • pp.129-137
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    • 2022
  • Purpose: The purpose of this study was to identify the risk factors for recurrent abdominal pain (RAP) in children who presented with nonorganic acute abdominal pain. Methods: A retrospective, single study was conducted on 2-15-year-old children diagnosed with nonorganic acute abdominal pain at the pediatric outpatient department of Vajira Hospital, Nawamindradhiraj University, between January 2015 and December 2019. The potential risk factors were analyzed using univariate and multivariate analyses. Results: Of the 367 patients with nonorganic acute abdominal pain, 94 (25.6%) experienced RAP within three months. In this group with RAP, 76 patients (80.8%) were diagnosed with functional gastrointestinal disorders, including functional dyspepsia, irritable bowel syndrome, functional abdominal pain-not otherwise specified, and functional constipation. History of gastrointestinal infection (p=0.011), mental health problems (p=0.022), abdominal pain lasting ≥7 days (p<0.001), and change in stool frequency (p=0.001) were the independent risk factors associated with RAP in children with nonorganic acute abdominal pain; their odds ratios and 95% confidence intervals were 3.364 (1.314-8.162), 3.052 (1.172-7.949), 3.706 (1.847-7.435), and 2.649 (1.477-4.750), respectively. Conclusion: RAP is a common problem among children who first present with nonorganic acute abdominal pain. The identification of risk factors may provide proper management, especially follow-up plans for this group in the future.

Inhibition of DNMT3B and PI3K/AKT/mTOR and ERK Pathways as a Novel Mechanism of Volasertib on Hypomethylating Agent-Resistant Cells

  • Eun-Ji Choi;Bon-Kwan Koo;Eun-Hye Hur;Ju Hyun Moon;Ji Yun Kim;Han-Seung Park;Yunsuk Choi;Kyoo-Hyung Lee;Jung-Hee Lee;Eun Kyung Choi;Je-Hwan Lee
    • Biomolecules & Therapeutics
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    • v.31 no.3
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    • pp.319-329
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    • 2023
  • Resistance to hypomethylating agents (HMAs) in myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML) is a concerning problem. Polo-like kinase 1 (PLK1) is a key cell cycle modulator and is known to be associated with an activation of the PI3K pathway, which is related to the stabilization of DNA methyltransferase 1 (DNMT1), a target of HMAs. We investigated the effects of volasertib on HMA-resistant cell lines (MOLM/AZA-1 and MOLM/DEC-5) derived from MOLM-13, and bone marrow (BM) samples obtained from patients with MDS (BM blasts >5%) or AML evolved from MDS (MDS/AML). Volasertib effectively inhibited the proliferation of HMA-resistant cells with suppression of DNMTs and PI3K/AKT/mTOR and ERK pathways. Volasertib also showed significant inhibitory effects against primary BM cells from patients with MDS or MDS/AML, and the effects of volasertib inversely correlated with DNMT3B expression. The DNMT3B-overexpressed AML cells showed primary resistance to volasertib treatment. Our data suggest that volasertib has a potential role in overcoming HMA resistance in patients with MDS and MDS/AML by suppressing the expression of DNMT3 enzymes and PI3K/AKT/mTOR and ERK pathways. We also found that DNMT3B overexpression might be associated with resistance to volasertib.

A Study to Determine the Optimized Location for Fast Electric Vehicle Charging Station Considering Charging Demand in Seoul (서울시 전기차 충전수요를 고려한 급속충전소의 최적입지 선정 연구)

  • Ji gyu Kim;Dong min Lee;Su hwan Kim
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.6
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    • pp.57-69
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    • 2022
  • Even though demand to charge EV(electric vehicles) is increasing, there are some problems to construct EV charging stations and problems from deficient them. Typical problem of EV charging stations is discordance for EV charging station location with its demand. This study investigates methods to determine the optimized location for fast EV charging stations considering charging demand in Seoul. Firstly, variables influencing on determination of determine the optimized location for fast EV charging stations were decided, and then evaluation of weights of the variables and data collection were conducted. Using the weights, location potential scores for each area-cell were calculated and optimized locations for fast EV charging stations were resulted.

A Study on Determining the Optimal Replacement Interval of the Rolling Stock Signal System Component based on the Field Data (필드데이터에 의한 철도차량 신호장치 구성품의 최적 교체주기 결정에 관한 연구)

  • Byoung Noh Park;Kyeong Hwa Kim;Jaehoon Kim
    • Journal of the Korean Society of Safety
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    • v.38 no.2
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    • pp.104-111
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    • 2023
  • Rolling stock maintenance, which focuses on preventive maintenance, is typically implemented considering the potential harm that may be inflicted to passengers in the event of failure. The cost of preventive maintenance throughout the life cycle of a rolling stock is 60%-75% of the initial purchase cost. Therefore, ensuring stability and reducing maintenance costs are essential in terms of economy. In particular, private railroad operators must reduce government support budget by effectively utilizing railroad resources and reducing maintenance costs. Accordingly, this study analyzes the reliability characteristics of components using field data. Moreover, it resolves the problem of determining an economical replacement interval considering the timing of scrapping railroad vehicles. The procedure for determining the optimal replacement interval involves five steps. According to the decision model, the optimal replacement interval for the onboard signal device components of the "A" line train is calculated using field data, such as failure data, preventive maintenance cost, and failure maintenance cost. The field data analysis indicates that the mileage meter is 9 years, which is less than the designed durability of 15 years. Furthermore, a life cycle in which the phase signal has few failures is found to be the same as the actual durability of 15 years.

A novel design method for improving collapse resistances of multi-story steel frames with unequal spans using steel braces

  • Zheng Tan;Wei-hui Zhong;Bao Meng;Shi-chao Duan;Hong-chen Wang;Xing-You Yao;Yu-hui Zheng
    • Steel and Composite Structures
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    • v.47 no.2
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    • pp.253-267
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    • 2023
  • The bearing capacities resisted by the two-bay beams of multi-story planar frames with unequal spans under column removal scenarios differ considerably owing to the asymmetric stress on the left and right beams connected to the failed column and cause the potential for beams with larger span-to-depth ratios to be unable to exert effectively, which is disadvantageous for resisting the vertical load in unequal-span frame structures. To address this problem, the structural measure of adding braces to the weak bays of multi-story unequal-span frames was proposed, with the objective of achieving a coordinated stress state in two-bay beams with unequal spans, thereby improving the collapse resistance of unequal-span frame structures. Before conducting the numerical simulation, the modeling methods were verified by previous experimental results of two multi-story planar frames with and without steel braces. Thereafter, the effects of the tensile and compressive braces on the collapse behavior of the frame structures were elucidated. Then, based on the mechanical action laws of the braces throughout the collapse process, a detailed design method for improving the collapse resistance of unequal-span frame structures was proposed. Finally, the proposed design method was verified by using sufficient example models, and the results demonstrated that the design method has good application prospects and high practical value.

Investigation of AI-based dual-model strategy for monitoring cyanobacterial blooms from Sentinel-3 in Korean inland waters

  • Hoang Hai Nguyen;Dalgeun Lee;Sunghwa Choi;Daeyun Shin
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.168-168
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    • 2023
  • The frequent occurrence of cyanobacterial harmful algal blooms (CHABs) in inland waters under climate change seriously damages the ecosystem and human health and is becoming a big problem in South Korea. Satellite remote sensing is suggested for effective monitoring CHABs at a larger scale of water bodies since the traditional method based on sparse in-situ networks is limited in space. However, utilizing a standalone variable of satellite reflectances in common CHABs dual-models, which relies on both chlorophyll-a (Chl-a) and phycocyanin or cyanobacteria cells (Cyano-cell), is not fully beneficial because their seasonal variation is highly impacted by surrounding meteorological and bio-environmental factors. Along with the development of Artificial Intelligence (AI), monitoring CHABs from space with analyzing the effects of environmental factors is accessible. This study aimed to investigate the potential application of AI in the dual-model strategy (Chl-a and Cyano-cell are output parameters) for monitoring seasonal dynamics of CHABs from satellites over Korean inland waters. The Sentinel-3 satellite was selected in this study due to the variety of spectral bands and its unique band (620 nm), which is sensitive to cyanobacteria. Via the AI-based feature selection, we analyzed the relationships between two output parameters and major parameters (satellite water-leaving reflectances at different spectral bands), together with auxiliary (meteorological and bio-environmental) parameters, to select the most important ones. Several AI models were then employed for modelling Chl-a and Cyano-cell concentration from those selected important parameters. Performance evaluation of the AI models and their comparison to traditional semi-analytical models were conducted to demonstrate whether AI models (using water-leaving reflectances and environmental variables) outperform traditional models (using water-leaving reflectances only) and which AI models are superior for monitoring CHABs from Sentinel-3 satellite over a Korean inland water body.

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Current Perspectives on Emerging CAR-Treg Cell Therapy: Based on Treg Cell Therapy in Clinical Trials and the Recent Approval of CAR-T Cell Therapy (장기이식 거부반응과 자가면역질환 치료제로서의 CAR Treg 세포치료제의 가능성: Treg 세포치료제 임상시험 현황과 CAR T 세포치료제 허가 정보를 바탕으로)

  • Kang, Koeun;Chung, Junho;Yang, Jaeseok;Kim, Hyori
    • Korean Journal of Transplantation
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    • v.31 no.4
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    • pp.157-169
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    • 2017
  • Regulatory T cells (Treg) naturally rein in immune attacks, and they can inhibit rejection of transplanted organs and even reverse the progression of autoimmune diseases in mice. The initial safety trials of Treg against graft-versus-host disease (GVHD) provided evidence that the adoptive transfer of Treg is safe and capable of limiting disease progression. Supported by such evidence, numerous clinical trials have been actively investigating the efficacy of Treg targeting autoimmune diseases, type I diabetes, and organ transplant rejection, including kidney and liver. The limited quantity of Treg cells harvested from peripheral blood and subsequent in vitro culture have posed a great challenge to large-scale clinical application of Treg; nevertheless, the concept of CAR (chimeric antigen receptor)-Treg has emerged as a potential resolution to the problem. Recently, two CAR-T therapies, tisagenlecleucel and axicabtagene ciloleucel, were approved by the US FDA for the treatment of refractory or recurrent acute lymhoblastic leukemia. This approval could serve as a guideline for the production protocols for other genetically engineered T cells for clinical use as well. The phase I and II clinical trials of these agents has demonstrated that genetically engineered and antigen-targeting T cells are safe and efficacious in humans. In conclusion, both the promising results of Treg cell therapy from the clinical studies and the recent FDA approval of CAR-T therapies are paving the way for CAR-Treg therapy in clinical use.

Case Studies for the Ratification of Stockholm Convention on Persistent Organic Pollutants with Specific Exemption in South Korea (Stockholm 협약 비준 대비 잔류성유기오염물질의 특정면제를 위한 국내 실태조사)

  • Kim, H.H.;Lee, J.Y.;Yang, J.Y.;Lee, J.S.;Shin, D.C.;Jung, H.W.;Lim, Y.W.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.12 no.1
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    • pp.63-75
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    • 2010
  • United Nations Environment Program adopted a global binding agreement to regulate the production and distribution for the persistent organic pollutants (POPs) in May 22, 2001. The agreement took its effectuation with the ratification of 59 countries from the approval of 151 countries in May 17, 2004. After the approval on the binding agreement in October 4, 2001, South Korea performed systematic investigation for the ready of ratification on the convention with country-specific exemption for some chemical substances. Case study with documentary examination and fact-finding survey found some potential problem for 5 chemical substances such as chlordane, dichloro diphenyl trichloroethane (DDT), hexachlorobenzenes (HCB), heptachlor, polychlorinated biphenyls (PCBs). However, subsequent investigation with more detailed degree showed the possibility for the ratification with no country-specific exemption.

A Study from a Highly Populated Country : Risk Factors Associated with Lower Back Pain in Middle-Aged Adults

  • Feda Anisah Makkiyah;Tasya Anggraini Sinaga; Namira Khairunnisa
    • Journal of Korean Neurosurgical Society
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    • v.66 no.2
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    • pp.190-198
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    • 2023
  • Objective : Low back pain (LBP) is a global health problem that affects the productivity of the patients. Several factors such as individual, occupational, and psychosocial factors increase the risk of LBP. However, only a few studies investigated those factors, especially in middle adulthood in Indonesia. Indonesia is a country with a young population that has been rapidly developing in recent years. This study was conducted to find out the factors associated with LBP in middle adulthood. Methods : This study is a cross-sectional observational analytic study using a convenience sampling method with a total sample of 3005 respondents. Data were collected using a questionnaire which was then analyzed using the chi-square test, Kolmogorov-smirnov, Spearman's Rank, and logistic regression test. Results : From the result of this study, it was found that the 12-month prevalence of LBP in middle-aged adults was 44,29%. Female (odds ratio [OR], 1.3; 95% confidence interval [Cl], 1.098-1.545; p=0.002), lack of physical exercises (OR, 0.87; 95% Cl, 0.794-0.959; p=0.005), high body mass index (OR, 1.09; 95% Cl, 1.009-1.187; p=0.002), stress level (OR, 1.26; 95% Cl, 1.088-1.458; p=0.002), and years of work experience (OR, 1.1; 95% Cl, 1.001-1.225; p=0.047) were determined as risk factors that significantly associated with LBP. Conclusion : LBP is quite common among middle-aged adults in Indonesia. Female gender, higher body mass index, lack of physical activity, stress level, and years of work experience were all potential risk factors for LBP in middle-aged adults. Middle-aged adults in Indonesia should be aware of LBP and avoid disabilities by identifying risk factors that may worsen LBP in the future.

Modeling Soil Temperature of Sloped Surfaces by Using a GIS Technology

  • Yun, Jin I.;Taylor, S. Elwynn
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.43 no.2
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    • pp.113-119
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    • 1998
  • Spatial patterns of soil temperature on sloping lands are related to the amount of solar irradiance at the surface. Since soil temperature is a critical determinant of many biological processes occurring in the soil, an accurate prediction of soil temperature distribution could be beneficial to agricultural and environmental management. However, at least two problems are identified in soil temperature prediction over natural sloped surfaces. One is the complexity of converting solar irradiances to corresponding soil temperatures, and the other, if the first problem could be solved, is the difficulty in handling large volumes of geo-spatial data. Recent developments in geographic information systems (GIS) provide the opportunity and tools to spatially organize and effectively manage data for modeling. In this paper, a simple model for conversion of solar irradiance to soil temperature is developed within a GIS environment. The irradiance-temperature conversion model is based on a geophysical variable consisting of daily short- and long-wave radiation components calculated for any slope. The short-wave component is scaled to accommodate a simplified surface energy balance expression. Linear regression equations are derived for 10 and 50 cm soil temperatures by using this variable as a single determinant and based on a long term observation data set from a horizontal location. Extendability of these equations to sloped surfaces is tested by comparing the calculated data with the monthly mean soil temperature data observed in Iowa and at 12 locations near the Tennessee - Kentucky border with various slope and aspect factors. Calculated soil temperature variations agreed well with the observed data. Finally, this method is applied to a simulation study of daily mean soil temperatures over sloped corn fields on a 30 m by 30 m resolution. The outputs reveal potential effects of topography including shading by neighboring terrain as well as the slope and aspect of the land itself on the soil temperature.

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