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Risk factors of organ failure in cholangitis with bacteriobilia

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World Journal of Gastroenterology 2015年第24期21卷 7506-7513页

作者： Jae Min Lee Sang Hyub Lee Kwang hyun Chung Jin Myung Park Ban Seok Lee Woo hyun Paik Joo Kyung Park Ji Kon ryu Yong-Tae kim Departments of Internal Medicine and Liver Research Institute Seoul National University College of Medicine Seoul National University Hospital Department of Internal Medicine Gyeongsang National University College of Medicine Gyeongsang National University Hospital Department of Internal Medicine Kangwon National University School of Medicine Kangwon National University Hospital Department of Internal Medicine Inje University Ilsan Paik Hospital Department of Gastroenterology Department of Medicine Samsung Medical Center Sungkyunkwan University School of Medicine

AIM: To identify the risk factors for organ failure(OF) in cholangitis with ***: This study included 182 patients with acute cholangitis who underwent percutaneous transhepatic biliary drainage between January 2005 and April 2013. We conducted a retrospective analysis of comprehensive clinical and laboratory ***: There were 24 cases(13.2%) of OF and five deaths(2.7%). Bile culture was positive for microbial growth in 130 out of 138(94.2%) patients. In multivariate analysis of 130 patients with positivebile cultures, significant predictive factors for OF were the presence of extended-spectrum beta-lactamase(ESBL) organisms in blood cultures, pre-existing renal dysfunction, and choledocholithiasis as an etiology, with odds ratios of 15.376, 6.319, and 3.573, respectively. We developed a scoring system with a regression coefficient of each significant variable. The OF score was calculated using the following equation:(2.7 × ESBL organisms in blood cultures) +(1.8 × pre-existing renal dysfunction) +(1.3 × choledocholithiasis). This scoring system for predicting OF was highly specific(99.1%) and had a positive predictive value of 86.2%.CONCLUSION: ESBL organisms in blood cultures, preexisting renal dysfunction, and choledocholithiasis are risk factors for OF in cholangitis with bacteriobilia. The OF scoring system may aid clinicians to identify a poor prognosis group.

关键词： Acute cholangitis Bacteriobilia Bile culture Organ failure

Applying machine learning techniques to predict detonation initiation fromhot spots

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Energy and AI 2022年第3期9卷 121-127页

作者： Je Ir ryu Department of Mechanical Engineering University of California-BerkeleyBerkeleyCA 94720USA

As hot spots can be a source of detonation initiation by autoignition in a reactive mixture, understanding hotspot initiated detonation is significantly important for energy-related applications of detonation. Although theZel’dovich reactivity gradient theory is extremely useful to predict reaction propagation modes from hot spots,the prediction is limited due to the changes in the unburnt mixture during the induction time. In the currentstudy, machine learning based estimation methods by training the numerical simulation result data set aresuggested to avoid the extensive and empirical effort to find initial conditions of hot spot initiated detonationin inhomogeneous mixtures. The data set was obtained from the detailed numerical simulations with variousconditions of hot spots and divided into training and test data sets. Some variables were normalized withothers to avoid multicollinearity. Three different machine learning techniques, logistic regression, classificationand regression trees, and artificial neural network, were utilized to develop prediction models. Using thedeveloped models by machine learning approaches, the modes of hot spot initiated reaction front propagationcan be predicted without computationally expensive numerical simulations. The accuracies of the machinelearning based prediction models were significantly improved compared to the baseline model simply usingthe Zel’dovich reactivity gradient theory. These models can be utilized as preliminary prediction methods ofhot spot induced detonation initiation conditions for further detailed numerical simulations and dominantinput variables.

关键词： Detonation Deflagration Hydrogen Syngas Logistic regression CART Artificial neural network

Developing a geospatial web-GIS system for landscape and urban planning

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International Journal of Digital Earth 2013年第6期6卷 580-588页

作者： Junghoon ki Department of Public Administration Myongji UniversitySeoulKorea

This study discusses a geographical information system(GIS)for operating a local government’s landscape and urban planning activities via a *** this web-GIS system will help build a more realistic landscape and urban planning model that includes citizen participation and city *** approach is applicable to ubiquitous city(u-city)development based on geospatial web and its related *** approach presented is built on six selected elements of a u-city *** outcome of the study includes sustainable analysis,environmental planning,urban planning,and city market*** outcome is applicable to cities that are planning to adopt the u-city system or advanced telecommunication or planning tools into their urban frameworks.

关键词： geospatial data integration virtual reality 3D modeling ubiquitous city sustainable development

Revision of bilateral self-expandable metallic stents placed using the stent-in-stent technique for malignant hilar biliary obstruction

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Hepatobiliary & Pancreatic Diseases International 2018年第5期17卷 437-442页

作者： Jun Hyuk Son Hee Seung Lee Sang Hyub Lee Seungmin Bang Jinwoo Kang Woo hyun Paik Ji Kon ryu Yong-Tae kim Department of Internal Medicine and Liver Research Institute Seoul National University HospitalSeoul National University College of MedicineSeoulKorea Department of Internal Medicine Inje University Ilsan Paik HospitalGoyangKorea Department of Internal Medicine Institute of GastroenterologyYonsei University College of MedicineSeoulKorea Department of Gastroenterology and Hepatology SMG-SNU Boramae Medical CenterSeoulKorea

Background: Endoscopic biliary decompression using bilateral self-expandable metallic stent(SEMS) placed using the stent-in-stent(SIS) technique is considered favorable for unresectable malignant hilar biliary obstruction(MHBO). However, occlusion of the bilateral SIS placement is frequent and revision can be challenging. This study was performed to investigate the efficacy, the long-term patency and the appropriate approach for revision of occluded bilateral SIS placement in unresectable MHBO. Methods: From January 2011 to July 2016, thirty-eight patients with unresectable MHBO underwent revision of occluded bilateral SIS placement. Clinical data including success rates and patency of revision, were retrospectively analyzed. Results: The technical success rate of revision was 76.3%. The clinical success rate of revision was 51.7% and mean patency of revision was 49.1 days. No significant predictive factor for clinical failure of revision was observed. The cell size of SEMS was not found to have significant effects on clinical success rates or revision patency. Conclusions: Revision of occluded bilateral SIS placement for MHBO showed fair patency and clinical success rate. Revision method and cell size of SEMS were not found to influence clinical outcomes.

关键词： Malignant hilar biliary obstruction Self-expandable metallic stent Stent-in-stent Revision

Folfirinox chemotherapy prolongs stent patency in patients with malignant biliary obstruction due to unresectable pancreatic cancer

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Hepatobiliary & Pancreatic Diseases International 2020年第6期19卷 590-595页

作者： Jinwoo Kang Sang Hyub Lee Jin Ho Choi Woo hyun Paik Dong-Won Ahn Ji Bong Jeong Ji Kon ryu Yong-Tae kim Department of Internal Medicine and Liver Research Institute Seoul National University HospitalSeoul National University College of MedicineSeoulKorea Department of Internal Medicine SMG-SNU Boramae Medical CenterSeoulKorea

Background:Stent insertion for biliary decompression to relieve jaundice and subsequent biliary infection is necessary for patients with biliary obstruction caused by pancreatic cancer,and it is important to keep the stent patent as long as ***,few studies have compared stent patency in terms of chemotherapy in patients with pancreatic *** study aimed to evaluate the differences in stent patency in terms of recently evolving ***:Between January 2015 and May 2017,161 patients with pancreatic cancer who had undergone biliary stent insertion with a metal stent were retrospectively *** relationship between chemotherapy and stent patency was ***,overall survival according to the treatment,risk factors for stent patency,and long-term adverse events were ***:Median stent patency was 42 days for patients with the best supportive care and 217 days for patients with chemotherapy(conventional gemcitabine-based chemotherapy and folfirinox)(P<0.001).Furthermore,the folfirinox group showed the longest median stent patency and overall survival,with 283 days and 466 days,respectively(P<0.001)despite higher adverse events *** who underwent folfirinox chemotherapy after stent insertion had better stent patency in multivariate analysis(HR=0.26;95%CI:0.12–0.60;P=0.001).Conclusions:Compared with patients who received best supportive care only,patients who underwent chemotherapy after stent insertion had better stent *** prolonged stent patency can be expected for patients with folfirinox than conventional gemcitabine-based chemotherapy.

关键词： Stent patency Malignant distal biliary obstruction Pancreatic cancer Folfirinox Chemotherapy

Acetylsalicylic acid for metal stent in malignant distal common bile duct obstruction:A randomized controlled trial

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Hepatobiliary & Pancreatic Diseases International 2022年第5期21卷 493-499页

作者： Jin Ho Choi Kyong Joo Lee Woo hyun Paik Namyoung Park Jung Won Chun Sang Hyub Lee Ji Kon ryu Yong-Tae kim Department of Internal Medicine Liver Research InstituteSeoul National University College of MedicineSeoulKorea Department of Internal Medicine Yonsei University Wonju College of MedicineWonjuKorea

Background:Endoscopic biliary drainage is the treatment of choice for patients with malignant distal common bile duct ***-expandable metal stents have clinical advantages including an increased duration of patency that may be prolonged by acetylsalicylic acid(ASA)*** aim of this study was to investigate whether ASA had a positive effect on the patency of self-expandable metal stents compared with ***:This prospective,multicenter,double-blinded,and randomized placebo-controlled trial was conducted from October 2017 to May 2020 in *** who underwent palliative endoscopic biliary drainage with self-expandable metal stents for malignant distal bile duct obstruction were enrolled,and allocated to ASA treatment or *** study outcomes were the rate of stent dysfunction at 6 months,duration of stent patency,risk factors for stent dysfunction,and any adverse ***:Interim analysis included 24 and 28 patients in the ASA and placebo groups,*** was no significant difference between the ASA and placebo groups in stent dysfunction(25.0%vs.20.7%,P=0.761)or the duration of stent patency(150.97±10.55 vs.158.07±8.70 days,P=0.497).Six patients experienced suspected ASA-related adverse events,and there was one lethal ***:ASA did not prolong stent *** study was terminated early because of the possibility of serious adverse events related to ASA treatment of these patients receiving palliative care.

关键词： Endoscopic retrograde cholangiopancreatography Self expandable metallic stents Randomized controlled trial Acetylsalicylic acid

Adaptive Electrospinning System Based on Reinforcement Learning for Uniform‑Thickness Nanofiber Air Filters

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Advanced Fiber Materials 2023年第2期5卷 617-631页

作者： Seok Hyeon Hwang Jin Yeong Song hyun Il ryu Jae Hee Oh Seungwook Lee Donggeun Lee Dong Yong Park Sang Min Park School of Mechanical Engineering Pusan National University63‑2 Busan University‑roGeumjeong‑guBusan 46241South Korea Smart Manufacturing Technology R&D Group Korea Institute of Industrial Technology320 Techno Sunhwan‑roYuga‑eupDalseong‑gunDaegu 42994Republic of Korea

Electrospinning is a simple and versatile method to produce nanofiber ***,owing to bending instability that occurs during the electrospinning process,electrospinning has frequently produced a non-uniform-thickness nanofiber filter,which deteriorates its air ***,an adaptive electrospinning system based on reinforcement learning(E-RL)was developed to produce uniform-thickness nanofiber *** E-RL accomplished a real-time thickness measurement of an electrospun nanofiber filter by measuring the transmitted light through the nanofiber filter using a camera placed at the bottom of the collector and converting it into thickness using the Beer–Lambert *** on the measured thickness,the E-RL detected the non-uniformity of the nanofiber filter thickness and manipulated the movable collector to alleviate the non-uniformity of the thickness by a pre-trained reinforcement learning(RL)*** the training of the RL algo-rithm,the nanofiber production simulation software based on the empirical model of the deposition of the nanofiber filter was developed,and the training process of the RL algorithm was repeated until the optimal policy was *** the training process with the simulation software,the trained model was transferred to the adaptive electrospinning *** the movement of the collector under the optimal strategy of RL algorithm,the non-uniformity of such nanofiber filters was significantly reduced by approximately five times in standard deviation and error for both simulation and *** finding has great potential in improving the reliability of electrospinning process and nanofiber filters used in research and industrial fields such as environment,energy,and biomedicine.

关键词： Electrospinning Nanofiber filter Uniform thickness Reinforcement learning Deep Q-network

Organic solar cells for indoor power generation

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Science China Chemistry 2020年第1期63卷 1-2页

作者： Hwa Sook ryu Han Young Woo Department of Chemistry College of Science Korea University

During last decades,organic solar cells(OSCs)have achieved remarkable advancements via extensive studies on the optimization of photovoltaic donor/acceptor(D/A)materials,device fabrication,and the D/A bulk heterojunction *** conversion efficiencies(PCEs)up to〜16%for single junction cells and over 17%PCEs were successfully demonstrated for tandem OSC devices[1,2].OSCs may find real industrial applications soon,including building integrated photovoltaics,portable power sources and indoor power generation for low power consumption electronic devices(i.e.,internet of things(IOT)sensors).Among them,indoor applications have great potentials because OSCs can convert indoor lights into electricity more efficiently compared to inorganic counterparts[3].

关键词： D/A power portable

A Hybrid Instance Selection Using Nearest-Neighbor for Cross-Project Defect Prediction

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Journal of Computer Science & Technology 2015年第5期30卷 969-980页

作者： Duksan ryu Jong-In Jang Jongmoon Baik School of Computinq Korea Advanced Institute of Science and Technology Yuseong-gu Daejeon 305-701 Korea

Software defect prediction （SDP） is an active research field in software engineering to identify defect-prone modules. Thanks to SDP, limited testing resources can be effectively allocated to defect-prone modules. Although SDP requires sufficient local data within a company, there are cases where local data are not available, e.g., pilot projects. Companies without local data can employ cross-project defect prediction （CPDP） using external data to build classifiers. The major challenge of CPDP is different distributions between training and test data. To tackle this, instances of source data similar to target data are selected to build classifiers. Software datasets have a class imbalance problem meaning the ratio of defective class to clean class is far low. It usually lowers the performance of classifiers. We propose a Hybrid Instance Selection Using Nearest-Neighbor （HISNN） method that performs a hybrid classification selectively learning local knowledge （via k-nearest neighbor） and global knowledge （via na/ve Bayes）. Instances having strong local knowledge are identified via nearest-neighbors with the same class label. Previous studies showed low PD （probability of detection） or high PF （probability of false alarm） which is impractical to overall performance as well as high PD and low PF. use. The experimental results show that HISNN produces high overall performance as well as high PD and low PF.

关键词： software defect analysis instance-based learning nearest-neighbor algorithm data cleaning