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Acute liver injury induces expression of FGF23 in hepatocytes via orphan nuclear receptor ERRγ signaling

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Genes & Diseases 2023年第3期10卷 679-682页

作者： Yoon Seok Jung Yong-Hoon Kim Kamalakannan Radhakrishnan Jung-Ran Noh Jung Hyeon choi Hyo-jin Kim Jae-Ho Jeong Steven Dooley Chul-Ho Lee Hueng-Sik choi School of Biological Sciences and Technology Chonnam National UniversityGwangju 61186Republic of Korea Laboratory Animal Resource Center Korea Research Institute of Bioscience and Biotechnology125 Gwahak-roYuseong-guDaejeon 34141Republic of Korea Department of Functional Genomics KRIBB School of BioscienceKorea University of Science and Technology(UST)Daejeon 34113Republic of Korea Combinatorial Tumor Immunotherapy MRC Chonnam National University Medical SchoolHwasun-gunJeonnam 58128Republic of Korea Department of Microbiology Chonnam National University Medical SchoolGwangju 61186Republic of Korea Molecular Hepatology Section Medical Faculty MannheimHeidelberg University69117 HeidelbergGermany

Fibroblast growth factor 23(FGF23)is an osteocyte-and osteoblast-derived hormone that primarily regulates phosphate and vitamin D *** FGF23 levels are abnormally increased in pathological conditions like acute or chronic kidney injury,resulting in disease progression as well as increased rates of morbidity and mortality.^(1) However,FGF23 production in acute liver injury is not fully *** this study.

关键词： FGF23 acute vitamin

Groundwater contamination and natural attenuation capacity at a petroleum spilled facility in Korea

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Journal of Environmental Sciences 2011年第10期23卷 1650-1659页

作者： Hyun-Mi choi jin-Yong Lee Department of Geology Kangwon National University

As a remedial option, the natural attenuation capacity of a petroleum contaminated groundwater at a military facility was examined. Hydrogeological conditions, such as high water level, permeable uppermost layer and frequent heavy rainfall, were favorable to natural attenuation at this site. The changes in the concentrations of electron acceptors and donors, as well as the relevant hydrochemical conditions, indicated the occurrence of aerobic respiration, denitrification, iron reduction, manganese reduction and sulfate reduction. The calculated BTEX expressed biodegradation capacity ranged between 20.52 and 33.67 mg/L, which appeared effective for the reduction of the contaminants levels. The contribution of each electron accepting process to the total biodegradation was in the order： denitrification 〉 iron reduction 〉 sulfate reduction 〉 aerobic respiration 〉 manganese reduction. The BTEX and benzene point attenuation rates were 0.0058-0.0064 and 0.0005-0.0032 day-1, respectively, and the remediation time was 0.7-1.2 and 2.5-30 years, respectively. The BTEX and benzene bulk attenuation rates were 8.69 × 10^-4 and 1.05 × 10^-3 day-l, respectively, and the remediation times for BTEX and benzene were 7.2 and 17.5 years, respectively. However, most of the natural attenuation occurring in this site can be attributed to dilution and dispersion. Consequently, the biodegradation and natural attenuation capacities were good enough to lower the contaminants levels, but their rates appeared to be insufficient to reach the remediation goal within a reasonable time frame. Therefore, some active remedial measures would be required.

关键词： petroleum contaminated site BTEX electron acceptor expressed biodegradation capacity natural attenuation

Short-Term Wind Energy Forecasting Using Deep Learning-Based Predictive Analytics

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Computers, Materials & Continua 2022年第7期72卷 1017-1033页

作者： Noman Shabbir Lauri Kütt Muhammad Jawad Oleksandr Husev Ateeq Ur Rehman Akber Abid Gardezi Muhammad Shafiq jin-Ghoo choi Department of Electrical Power Engineering&Mechatronics Tallinn University of TechnologyTallinn19086Estonia Department of Electrical and Computer Engineering COMSATS University Islamabad(Lahore Campus)54000Pakistan Department of Electrical Engineering Government College UniversityLahore54000Pakistan Department of Computer Science COMSATS University IslamabadIslamabad45550Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

Wind energy is featured by instability due to a number of factors,such as weather,season,time of the day,climatic area and so ***,instability in the generation of wind energy brings new challenges to electric power grids,such as reliability,flexibility,and power *** transition requires a plethora of advanced techniques for accurate forecasting of wind *** this context,wind energy forecasting is closely tied to machine learning(ML)and deep learning(DL)as emerging technologies to create an intelligent energy management *** article attempts to address the short-term wind energy forecasting problem in Estonia using a historical wind energy generation data ***,we taxonomically delve into the state-of-the-art ML and DL algorithms for wind energy forecasting and implement different trending ML and DL algorithms for the day-ahead *** the selection of model parameters,a detailed exploratory data analysis is *** models are trained on a real-time Estonian wind energy generation dataset for the first time with a frequency of 1 *** main objective of the study is to foster an efficient forecasting technique for *** comparative analysis of the results indicates that Support Vector Machine(SVM),Non-linear Autoregressive Neural Networks(NAR),and Recurrent Neural Network-Long-Term Short-Term Memory(RNNLSTM)are respectively 10%,25%,and 32%more efficient compared to TSO’s forecasting ***,RNN-LSTM is the best-suited and computationally effective DL method for wind energy forecasting in Estonia and will serve as a futuristic solution.

关键词： Wind energy production energy forecast machine learning

Identification and Visualization of Spatial and Temporal Trends in Textile Industry

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Computers, Materials & Continua 2023年第2期74卷 4165-4181页

作者： Umair Yousaf Muhammad Asif Shahbaz Ahmed Noman Tahir Azeem Irshad Akber Abid Gardezi Muhammad Shafiq jin-Ghoo choi Habib Hamam Department of Computer Science National Textile UniversityFaisalabad38000Pakistan Department of Computer Science and Software Engineering International Islamic UniversityIslamabad44000Pakistan Department of Computer Science COMSATS University IslamabadIslamabad45550Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea Faculty of Engineering Uni de MonctonMonctonNB E1A3E9Canada International Institute of Technology and Management Commune d’AkandaBPLibreville1989Gabon School of Electrical Engineering Department of Electrical and Electronic Eng.ScienceUniversity of JohannesburgJohannesburg2006South Africa Spectrum of Knowledge Production&Skills Development Sfax3027Tunisia

The research volume increases at the study rate,causing massive text *** to these enormous text corpora,we are drowning in data and starving for ***,recent research employed different text mining approaches to extract information from this text *** proposed approaches extract meaningful and precise phrases that effectively describe the text’s *** extracted phrases are commonly termed ***,these key phrases are employed to determine the different fields of study ***,these key phrases can also be used to determine the spatiotemporal trends in the various research *** this research,the progress of a research field can be better revealed through spatiotemporal bibliographic trend ***,an effective spatiotemporal trend extraction mechanism is required to disclose textile research trends of particular regions during a specific *** study collected a diversified dataset of textile research from 2011–2019 and different countries to determine the research *** data was collected from various open access ***,this research determined the spatiotemporal trends using quality *** research also focused on finding the research collaboration of different countries in a particular research *** research collaborations of other countries’researchers show the impact on import and export of those *** visualization approach is also incorporated to understand the results better.

关键词： Text mining spatiotemporal trend research collaboration

Migration of the localization wire to the back in patient with nonpalpable breast carcinoma: A case report

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World Journal of Clinical Cases 2021年第26期9卷 7863-7869页

作者： Young jin choi Department of Surgery Chungbuk National University HospitalChungbuk National University College of MedicineCheongju 28644South Korea

BACKGROUND Due to the increasing number of diagnosed nonpalpable breast cancer cases,wire localization has been commonly performed for surgical guidance to remove nonpalpable breast *** report presents a rare case of localized wire migration to a subcutaneous lesion of the upper back in a breast cancer patient undergoing breast-conserving *** SUMMARY A 48-year-old female was scheduled for breast-conserving surgery for left breast *** guided wire localization was performed intraoperatively by surgeon to localize the nonpalpable breast *** axilla sentinel lymph node biopsy,we realized that the wire was not *** wire was not found in the operation field,including the breast and ***-conserving surgery was performed after wire *** chest posteroanterior view revealed that the wire was located on the level of midaxillary *** days after the operation,a serial simple X-ray revealed that the wire was located on the subcutaneous lesion of the *** wire tip was palpable under the skin of the upper back,and the wire was removed under local *** Hooked wire misplacement can lead to fatal *** must consider the possibility of wire migration during breast cancer surgery.

关键词： Breast carcinoma Hooked wire Migration Nonpalpable breast lesion Wire localization Case report

Inverse correlation between gastroesophageal reflux disease and atrophic gastritis assessed by endoscopy and serology

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World Journal of Gastroenterology 2022年第8期28卷 853-867页

作者： Yoo Min Han Su jin Chung Seokha Yoo Jong In Yang Ji Min choi Jooyoung Lee Joo Sung Kim Department of Internal Medicine and Healthcare Research Institute Seoul National University Hospital Healthcare System Gangnam CenterSeoul 06236South Korea Department of Anesthesiology and Pain Medicine Seoul National University College of MedicineSeoul 03080South Korea Department of Internal Medicine and Liver Research Institute Seoul National University College of MedicineSeoul 03080South Korea

BACKGROUND Helicobacter pylori(***)infection is known to prevent the occurrence of gastroesophageal reflux disease(GERD)by inducing gastric mucosal ***,little is known about the relationship between atrophic gastritis(AG)and *** To confirm the inverse correlation between AG and the occurrence and severity of *** Individuals receiving health checkups who underwent upper gastrointestinal endoscopy at Seoul National University Healthcare System Gangnam Center were *** grade of reflux esophagitis was evaluated according to the Los Angeles *** AG(EAG)was categorized into six *** AG(SAG)was defined as pepsinogen I≤70 ng/m L and pepsinogen I/II ratio≤*** association between the extent of EAG and SAG and the occurrence and severity of GERD was evaluated using multivariate logistic regression *** In total,4684 individuals with GERD were compared with 21901 healthy *** multivariate logistic regression analysis,advanced age,male sex,body mass index>23 kg/m2,presence of metabolic syndrome,current smoking,and alcohol consumption were associated with an increased risk of *** for *** immunoglobulin G antibodies was associated with a decreased risk of *** was an inverse correlation between the extent of EAG and occurrence of GERD:Odds ratio(OR),1.01[95%confidence interval(CI):0.90-1.14]in C1,0.87(0.78-0.97)in C2,0.71(0.62-0.80)in C3,0.52(0.44-0.61)in O1,0.37(0.29-0.48)in O2,and 0.28(0.18-0.43)in ***,the extent of EAG showed an inverse correlation with the severity of *** presence of SAG was correlated with a reduced risk of GERD(OR=0.49,95%CI:0.28-0.87,P=0.014).CONCLUSION The extent of EAG and SAG exhibited strong inverse relationships with the occurrence and severity of *** followed by *** infection may be independently protect against GERD.

关键词： Gastroesophageal reflux disease Reflux esophagitis Helicobacter pylori Atrophic gastritis Pepsinogen

Projections of ocean climate for northwestern Pacific Ocean

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Acta Oceanologica Sinica 2005年第1期24卷 134-145页

作者： choi Byung Ho KIM Dong Hoon choi Young jin YUK jin Hee Department of Civil and Environmental Engineering Sungkyunkwan University Suwon KoreaAbiko Research Laboratory Central Research Institute of Electric Power Industry JapanResearch Institute of Applied Mechanics Kyushu University JapanDepartment of Civil and Environmental Engineering Sungkyunkwan University Suwon Korea

The long-term adjustment processes of atmosphere and ocean in response to gradually increased atmospheric CO2 concentration have been analyzed in 70 and 140 a integrations with NCAR fully-coupled climate system model (CSM). In these experiments the CO2 concentration has been increased to double and quadruples the initial concentration, respectively. After 70 a, at the time of CO2 doubling, the model predicts surface air temperature rises by 1.2 and 1.5 K for the globe and the northwestern Pacific Ocean, respectively. The behavior of the quadrupling run is similar: each global and regional mean surface air temperatures increase by 2.8 and 3.0 K at the time of CO2 quadrupling. From the experiments, surface air temperature changes in the northwestern Pacific Ocean will be more distinctive compared with the global average, mainly due to exceptionally large wanning and sea level change near the entrance of the Kuroshio extension.

关键词： Climate model simulation global warming northwestern Pacific Ocean

Risk prediction platform for pancreatic fistula after pancreatoduodenectomy using artificial intelligence

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World Journal of Gastroenterology 2020年第30期26卷 4453-4464页

作者： In woong Han Kyeongwon Cho Youngju Ryu Sang Hyun Shin jin Seok Heo Dong Wook choi Myung jin Chung Oh Chul Kwon Baek Hwan Cho Department of Surgery Samsung Medical CenterSungkyunkwan University School of MedicineSeoul 06351South Korea Medical Artificial Intelligence Research Center Department of Medical Device Management and ResearchSAIHSTSamsung Medical CenterSungkyunkwan University School of MedicineSeoul 06351South Korea Department of Radiology Samsung Medical CenterSungkyunkwan University School of MedicineSeoul 06351South Korea Artificial Intelligence Research Center Medical DataBase IncorporatedSeoul 06048South Korea

BACKGROUND Despite advancements in operative technique and improvements in postoperative managements,postoperative pancreatic fistula(POPF)is a life-threatening complication following pancreatoduodenectomy(PD).There are some reports to predict POPF preoperatively or intraoperatively,but the accuracy of those is *** intelligence(AI)technology is being actively used in the medical field,but few studies have reported applying it to outcomes after *** To develop a risk prediction platform for POPF using an AI *** Medical records were reviewed from 1769 patients at Samsung Medical Center who underwent PD from 2007 to 2016.A total of 38 variables were inserted into AI-driven *** algorithms tested to make the risk prediction platform were random forest(RF)and a neural network(NN)with or without recursive feature elimination(RFE).The median imputation method was used for missing *** area under the curve(AUC)was calculated to examine the discriminative power of algorithm for POPF *** The number of POPFs was 221(12.5%)according to the International Study Group of Pancreatic Fistula definition *** median imputation,AUCs using 38 variables were 0.68±0.02 with RF and 0.71±0.02 with *** maximal AUC using NN with RFE was *** risk factors for POPF were identified by AI algorithm:Pancreatic duct diameter,body mass index,preoperative serum albumin,lipase level,amount of intraoperative fluid infusion,age,platelet count,extrapancreatic location of tumor,combined venous resection,co-existing pancreatitis,neoadjuvant radiotherapy,American Society of Anesthesiologists’score,sex,soft texture of the pancreas,underlying heart disease,and preoperative endoscopic biliary *** developed a web-based POPF prediction platform,and this application is freely available at http://*** This study is the first to predict POPF with multiple risk factors using *** platform is reli

关键词： Postoperative pancreatic fistula Pancreatoduodenectomy Neural networks Recursive feature elimination

Advanced Community Identification Model for Social Networks

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Computers, Materials & Continua 2021年第11期69卷 1687-1707页

作者： Farhan Amin jin-Ghoo choi Gyu Sang choi Department of Computer Engineering Gachon UniversityGyeonggi-do13120Korea Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

Community detection in social networks is a hard problem because of the size,and the need of a deep understanding of network structure and *** several methods with significant effort in this direction have been devised,an outstanding open problem is the unknown number of communities,it is generally believed that the role of influential nodes that are surrounded by neighbors is very *** addition,the similarity among nodes inside the same cluster is greater than among nodes from other ***,the global and local methods of community detection have been getting more ***,in this study,we propose an advanced communitydetection model for social networks in order to identify network communities based on global and local *** proposed model initially detects the most influential nodes by using an Eigen score then performs local expansion powered by label *** process is conducted with the same color till nodes reach maximum ***,the communities are formed,and a clear community graph is displayed to the *** proposed model is completely parameter-free,and therefore,no prior information is required,such as the number of communities,*** perform simulations and experiments using well-known synthetic and real network benchmarks,and compare them with well-known state-of-the-art *** results prove that our model is efficient in all aspects,because it quickly identifies communities in the ***,it can easily be used for friendship recommendations or in business recommendation systems.

关键词： Community detection social network analysis complex networks