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Solution-flame hybrid synthesis of defect-enriched mesoporous CuO_(x) nanowires for enhanced electrochemical nitrate-to-ammonia production

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Journal of Energy Chemistry 2024年第12期99卷 475-483页

作者： Li Qu Sungkyu Kim Runfa Tan Arumugam Sivanantham Seokgi Kim yoo Jae Jeong Min Cheol Kim Seong Sik Shin uk Sim In Sun Cho Department of Materials Science&Engineering Ajou UniversitySuwon 16499Republic of Korea Department of Energy Systems Research Ajou UniversitySuwon 16499Republic of Korea Department of Nanotechnology and Advanced Materials Engineering Sejong UniversitySeoul 05006Republic of Korea Department of Chemistry Sookmyung Women's UniversitySeoul 04310Republic of Korea Department of Nano Engineering and Department of Nano Science and Technology SKKU Advanced Institute of Nanotechnology(SAINT)Sungkyunkwan UniversitySuwonRepublic of Kore SKKU Institute of Energy Science and Technology(SIEST) Sungkyunkwan UniversitySuwonRepublic of Kore School of Energy Technology Korea Institute of Energy Technology(KENTECH)Jeonnam 58217Republic of Korea

Electrochemical nitrate reduction(ENR)is an economical and eco-friendly method for converting industrial wastewater into valuable ammonia under atmospheric *** main challenge lies in designing and developing highly durable ENR *** study introduces defect-rich mesoporous CuO_(x) nanowires electrocatalyst synthesized using a novel solution-flame(sol-flame)hybrid method to control mesoporosity and introduce surface defects,thereby enhancing the electrochemical nitrate-toammonia production *** found surface defects(oxygen vacancies and Cu^(+))and unique mesoporous nanowire structure composed of tightly interconnected *** sol-flamesynthesized CuO_(x) nanowires(sf-CuO NWs)achieved superior ammonia yield rate(0.51 mmol h^(-1)cm^(-2)),faradaic efficiency(97.3%),and selectivity(86.2%)in 1 M KOH electrolyte(2000 ppm nitrate).This performance surpasses that of non-porous and less-defective CuO NWs and is attributed to the increased surface area and rapid electron transport facilitated by the distinctive morphology and generated *** calculation further suggests oxygen vacancies enhance NO_(3)^(-)adsorption on the sf-CuO NWs’surface and mitigate the competing hydrogen evolution *** study outlines a strategic design and simple synthesis approach for nanowire electrocatalysts that boost the efficiency of electrochemical nitrate-to-ammonia conversion.

关键词： CuO nanowires Solution-flame Mesoporous Oxygen vacancy Electrochemical nitrate reduction Wastewater

Disease progression in chronic hepatitis C patients with normal alanine aminotransferase levels

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World Journal of Gastroenterology 2013年第14期19卷 2256-2261页

作者： Dong Hyun Sinn Geum-Youn Gwak Jae-uk Shin Moon Seok Choi Joon Hyeok Lee Kwang Cheol Koh Seung Woon Paik Byung Chul yoo Department of Internal Medicine Sanggye Paik HospitalInje University School of Medicine Department of Medicine Samsung Medical CenterSungkyunkwan University School of Medicine

AIM:To investigate whether the disease progression of chronic hepatitis C patients with normal alanine aminotransferase(ALT) levels differs by ALT ***:A total of 232 chronic hepatitis C patients with normal ALT( 26 IU/L(highnormal),respectively(P = 0.043),and it was 1.4% and 4.8% for female patients with baseline ALT levels ≤ 22 IU/L(low-normal) and > 23 IU/L(high-normal),respectively(P = 0.023).ALT levels fluctuated during the follow-up *** the follow-up,more patients with "high-normal" ALT levels at baseline experienced ALT elevation(> 41 IU/L) than did patients with "lownormal" ALT levels at baseline(47.7% vs 27.9%,P = 0.002).The 5 year cumulative incidence of disease progression was significantly lower in patients with persistently "low-normal" ALT levels than "high-normal" ALT levels or those who exhibited an ALT elevation > 41 U/L during the follow-up period(0%,8.3% and 34.3%,P < 0.001).CONCLUSION:A "high normal" ALT level in chronic hepatitis C patients was associated with disease progression,suggesting that the currently accepted normal threshold of serum ALT should be lowered.

关键词： Alanine aminotransferase Upper limits of normal Disease progression Hepatitis C virus Hepatocellular carcinoma

Antibiofilm and antithrombotic hydrogel coating based on superhydrophilic zwitterionic carboxymethyl chitosan for blood-contacting devices

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Bioactive Materials 2024年第4期34卷 112-124页

作者： Dong uk Lee Mukhammad Kayumov Junghun Park Se Kye Park Yeongkwon Kang Yejin Ahn Woojin Kim Seung Hwa yoo Jun-Kyu Park Bong-Gi Kim Yong Suk Oh In-Seok Jeong Dong Yun Choi Biomedical Manufacturing Technology Center Korea Institute of Industrial TechnologyYeongcheon38822Republic of Korea Department of Thoracic and Cardiovascular Surgery Chonnam National University Hospital and Medical SchoolGwangju61469Republic of Korea Research Institute of Advanced Materials Seoul National UniversitySeoul08826Republic of Korea Department of Organic and Nano System Engineering Konkuk UniversitySeoul05029Republic of Korea Department of Quantum System Engineering Jeonbuk National UniversityJeonju-si54896Republic of Korea IMT Inc. Gwangju61086Republic of Korea Department of Mechanical Engineering Changwon National UniversityChangwon51140Republic of Korea

Blood-contacting devices must be designed to minimize the risk of bloodstream-associated infections,thrombosis,and intimal lesions caused by surface ***,achieving effective prevention of both bloodstream-associated infections and thrombosis poses a challenge due to the conflicting nature of antibacterial and antithrombotic activities,specifically regarding electrostatic *** study introduced a novel biocompatible hydrogel of sodium alginate and zwitterionic carboxymethyl chitosan(ZW@CMC)with antibacterial and antithrombotic activities for use in *** ZW@CMC hydrogel demonstrates a superhydrophilic surface and good hygroscopic properties,which facilitate the formation of a stable hydration layer with low *** zwitterionic-functionalized CMC incorporates an additional negative sulfone group and increased negative charge density in the carboxyl *** augmentation enhances electrostatic repulsion and facilitates the formation of hydration *** leads to exceptional prevention of blood clotting factor adhesion and inhibition of biofilm ***,the ZW@CMC hydrogel exhibited biocompatibility with tests of in vitro cytotoxicity,hemolysis,and catheter ***,in vivo tests of antithrombotic and systemic inflammation models with catheterization indicated that ZW@CMC has significant advantages for practical applications in cardiovascular-related and sepsis *** study opens a new avenue for the development of chitosan-based multifunctional hydrogel for applications in blood-contacting devices.

关键词： Zwitterionic Hydrogel Blood-clotting Antimicrobial Sepsis

Applying Machine Learning Techniques for Religious Extremism Detection on Online User Contents

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Computers, Materials & Continua 2022年第1期70卷 915-934页

作者： Shynar Mussiraliyeva Batyrkhan Omarov Paul yoo Milana Bolatbek Al-Farabi Kazakh National University AlmatyKazakhstan CSIS Birkbeck CollegeUniversity of LondonLondonUK

In this research paper,we propose a corpus for the task of detecting religious extremism in social networks and open sources and compare various machine learning algorithms for the binary classification problem using a previously created corpus,thereby checking whether it is possible to detect extremist messages in the Kazakh *** do this,the authors trained models using six classic machine-learning algorithms such as Support Vector Machine,Decision Tree,Random Forest,K Nearest Neighbors,Naive Bayes,and Logistic *** increase the accuracy of detecting extremist texts,we used various characteristics such as Statistical Features,TF-IDF,POS,LIWC,and applied oversampling and undersampling techniques to handle imbalanced *** a result,we achieved 98%accuracy in detecting religious extremism in Kazakh texts for the collected *** the developed machine learningmodels in various databases that are often found in everyday life“Jokes”,“News”,“Toxic content”,“Spam”,“Advertising”has also shown high rates of extremism detection.

关键词： Extremism religious extremism machine learning social media social network natural language processing NLP

Empirical and Experimental Perspectives on Big Data in Recommendation Systems:A Comprehensive Survey

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Big Data Mining and Analytics 2024年第3期7卷 964-1014页

作者： Kamal Taha Paul D.yoo Chan Yeun Aya Taha Department of Computer Science Khalifa UniversityAbu Dhabi 127788United Arab Emirates(UAE) School of Computing and Mathematical Sciences Birkbeck CollegeUniversity of LondonLondon WC1E 7HUUK Department of Science Brighton CollegeDubai 122002United Arab Emirates

This survey paper provides a comprehensive analysis of big data algorithms in recommendation systems,addressing the lack of depth and precision in existing *** proposes a two-pronged approach:a thorough analysis of current algorithms and a novel,hierarchical taxonomy for precise *** taxonomy is based on a tri-level hierarchy,starting with the methodology category and narrowing down to specific *** a framework allows for a structured and comprehensive classification of algorithms,assisting researchers in understanding the interrelationships among diverse algorithms and *** a wide range of algorithms,this taxonomy first categorizes algorithms into four main analysis types:user and item similarity based methods,hybrid and combined approaches,deep learning and algorithmic methods,and mathematical modeling methods,with further subdivisions into sub-categories and *** paper incorporates both empirical and experimental evaluations to differentiate between the *** empirical evaluation ranks the techniques based on four *** experimental assessments rank the algorithms that belong to the same category,sub-category,technique,and ***,the paper illuminates the future prospects of big data techniques in recommendation systems,underscoring potential advancements and opportunities for further research in this fields.

关键词： big data algorithms recommendation systems recommendation algorithms deep learning in recommendations

Interworking between Modbus and internet of things platform for industrial services

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Digital Communications and Networks 2024年第2期10卷 461-471页

作者： Sherzod Elamanov Hyeonseo Son Bob Flynn Seong Ki yoo Naqqash Dilshad JaeSeung Song Department of Convergence Engineering for Intelligent Drone Sejong UniversitySouth Korea SyncTechno Inc South Korea Exacta Global Smart Solutions USA Coventry University UK

In the era of rapid development of Internet of Things(IoT),numerous machine-to-machine technologies have been applied to the industrial *** to the divergence of IoT solutions,the industry is faced with a need to apply various technologies for automation and *** fact leads to a demand for an establishing interworking mechanism which would allow smooth interoperability between heterogeneous *** of the major protocols widely used today in industrial electronic devices is ***,data generated by Modbus devices cannot be understood by IoT applications using different protocols,so it should be applied in a couple with an IoT service layer ***2M,a global IoT standard,can play the role of interconnecting various protocols,as it provides flexible tools suitable for building an interworking framework for industrial ***,in this paper,we propose an interworking architecture between devices working on the Modbus protocol and an IoT platform implemented based on oneM2M *** the proposed architecture,we introduce the way to model Modbus data as oneM2M resources,rules to map them to each other,procedures required to establish interoperable communication,and optimization methods for this *** analyze our solution and provide an evaluation by implementing it based on a solar power management use *** results demonstrate that our model is feasible and can be applied to real case scenarios.

关键词： Internet of things Interoperability Interworking Modbus oneM2M

Resolution-enhanced X-ray fluorescence microscopy via deep residual networks

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npj Computational Materials 2023年第1期9卷 1935-1942页

作者： Longlong Wu Seongmin Bak Youngho Shin Yong S.Chu Shinjae yoo Ian K.Robinson Xiaojing Huang Computational Science Initiative Brookhaven National LaboratoryUptonNY 11973USA Condensed Matter Physics and Materials Science Department Brookhaven National LaboratoryUptonNY 11973USA National Synchrotron Light Source II Brookhaven National LaboratoryUptonNY 11973USA Materials Engineering Research Facility Applied Materials DivisionArgonne National LaboratoryLemontIL 60439USA London Centre for Nanotechnology University College LondonLondon WC1E 6BTUK

Multimodal hard X-ray scanning probe microscopy has been extensively used to study functional materials providing multiple contrast *** instance,combining ptychography with X-ray fluorescence(XRF)microscopy reveals structural and chemical properties *** ptychography can achieve diffraction-limited spatial resolution,the resolution of XRF is limited by the X-ray probe ***,we develop a machine learning(ML)model to overcome this problem by decoupling the impact of the X-ray probe from the XRF *** enhanced spatial resolution was observed for both simulated and experimental XRF data,showing superior performance over the state-of-the-art scanning XRF method with different nano-sized X-ray *** spatial resolutions were also observed for the accompanying XRF tomography *** this probe profile deconvolution with the proposed ML solution to enhance the spatial resolution of XRF microscopy will be broadly applicable across both functional materials and biological imaging with XRF and other related application areas.

关键词： resolution overcome instance

Disharmonious Ventricular Relationship and Topology for the Given Atrioventricular *** Diagnostic Approach Using 3D Modeling and Printing

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Congenital Heart Disease 2022年第5期17卷 495-504页

作者： Shi-Joon yoo Ankavipar Saprungruang Christopher Z.Lam Robert H.Anderson Department of Diagnostic Imaging Hospital for Sick ChildrenUniversity of TorontoTorontoCanada Division of Cardiology Department of PediatricsLabatt Family Heart CentreHospital for Sick ChildrenUniversity of TorontoTorontoCanada Biosciences Division Newcastle UniversityNewcastle-upon-TyneUK

In the last issue,two case reports separately present examples of the extremely rare and complex congenital heart diseases that show concordant atrioventricular connections to the L-looped ventricles in the presence of situs *** cases highlight that the relationship between the two ventricles within the ventricular mass is not always harmonious with the given atrioventricular *** disharmony between the connections and relationships requires careful assessment of the three basic facets of cardiac building blocks,namely their morphology,the relationship of their component parts,and their connections with the adjacent segments.3D imaging and printing can now facilitate an otherwise difficult diagnosis in such complex *** of either the 3D images or the models permit accurate assessment of the ventricular topologic pattern by creating the right ventricular en-face septal view,thus facilitating placement of the observer’s *** we now emphasize,an alternative approach,which might prove more attractive to imagers,is to rotate the ventricular mass to provide the ventricular apical view,thus permitting determination of the ventricular relationship without using the hands.

关键词： Segmental approach disharmony between connection and relationship ventricular loop pattern ventricular topology juxtaposition of atrial appendages 3D modeling 3D printing

用于电流馈电双有源桥式变换器的控制漏感高频变压器的设计优化

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磁性元件与电源 2018年第9期 163-165页

作者： Tae-uk Jung Myung-Hwan Kim Jin-Hyung yoo 韩国庆南大学电气工程学院 LG电子公司电子研发实验室

用于光伏发电的电流馈电双有源电桥转换器通常可能需要给定的泄漏或额外的电感，以便提供对电流的适当控制。因此，许多研究都集中在高频变压器的漏感控制上，以集成一个额外的电感器。本文提出了一种非对称绕组配置，以获得高频变压器... 详细信息

用于光伏发电的电流馈电双有源电桥转换器通常可能需要给定的泄漏或额外的电感，以便提供对电流的适当控制。因此，许多研究都集中在高频变压器的漏感控制上，以集成一个额外的电感器。本文提出了一种非对称绕组配置，以获得高频变压器的受控漏电感，以提高电流馈电双有源桥式变换器的效率。为了精确分析，该设计使用了与高频开关电路相连的变压器的耦合电磁分析模型。通过利用设计分析模型，给出了高效率的设计优化步骤，并通过实验结果验证。

关键词：高频变压器桥式变换器设计优化电流馈电有源电桥控制漏感光伏发电