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Participatory Risk Governance for Seoul, South Korea's Flood Risk Management

International Journal of Disaster Risk Science 2024年第03期15卷 317-331页

作者： Bokjin ro Gregg Garfin School of Geography Development and Environment The University of Arizona Interdisciplinary Program for Disaster Crisis and Risk Management Sungkyunkwan University School of Natural Resources and the Environment The University of Arizona

Risk governance is a widely used framework in natural and societal risk management research. Risks from natural hazards in urban areas call for the establishment of rigorous and participatory urban risk governance. In this study, we examined participatory risk governance(PRG) of flood risk management(FRM) in Seoul, South Korea. We conducted key informant interviews and implemented a survey with citizens, to explore perceptions of flood risks and risk management, and to examine prospects for improving PRG in Seoul. We found a gap between the perceptions of key informants and *** informants believed that citizens' low awareness of flood risks hinders PRG. Yet our research found that citizens' risk awareness was not low, and risk awareness may not be the main barrier to participation in PRG. Instead, we found that citizens lacked knowledge of FRM actions, and they assigned government bodies a high level of responsibility for FRM,compared to the level of responsibility that citizens assigned to themselves. Moreover, the actors involved in FRM tended not to trust each other, which implies a lack of mutual understanding. To increase the eff ectiveness of PRG, we suggest a polycentric governance structure anchored by a leading actor group, and active promotion of the participation of actors at multiple levels of governance. Communication between government and citizen participants, designed to foster improved understanding and recognition of one another's roles and contributions to FRM, will enhance trust and improve the implementation of PRG in Seoul.

关键词： Citizen participation Flood risk management Participatory risk governance Risk awareness South Korea Urban flood risk

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Targeting autophagy by polyphenols to prevent glycative stress-toxicity in the brain

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Neural Regeneration Research 2024年第5期19卷 941-942页

作者： alejan.ro Ponce-mora Eloy Bejarano Department of Biomedical Sciences School of Health Sciences and Veterinary SchoolUniversidad Cardenal Herrera-CEUCEU UniversitiesValenciaSpain

Glycative stress-a pathological hub in brain dysfunction:The nervous system is an intricate network that requires precise and complex *** recent years,growing evidence highlights the detrimental impact of glycative stress on brain homeostasis,which disables a network of vital processes,necessary for optimal function(Gómez et al.,2021).

关键词： homeostasis stress

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Solar‑Driven Sustainability:Ⅲ–ⅤSemiconductor for Green Energy Production Technologies

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Nano-Micro Letters 2024年第11期16卷 445-478页

作者： Chandran Bagavath Jeong‑Kyun Oh Sang‑Wook Lee Dae‑Young Um Sung‑Un Kim Veeramuthu Vignesh Jin‑Seo Park Shuo Han Cheul‑ro Lee Yong‑Ho Ra Division of Advanced Materials Engineering Engineering CollegeResearch Center for Advanced Materials Development(RCAMD)Jeonbuk National UniversityJeonju 54896Republic of Korea

Long-term societal prosperity depends on addressing the world’s energy and environmental problems,and photocatalysis has emerged as a viable *** the efficiency of photocatalytic processes is fundamentally achieved by optimizing the effective utilization of solar energy and enhancing the efficient separation of photogenerated *** has been demonstrated that the fabrication ofⅢ–Ⅴsemiconductor-based photocatalysts is effective in increasing solar light absorption,long-term stability,large-scale production and promoting charge *** focused review explores on the current developments inⅢ–Ⅴsemiconductor materials for solar-powered photocatalytic *** review explores on various subjects,including the advancement ofⅢ–Ⅴsemiconductors,photocatalytic mechanisms,and their uses in H2 conversion,CO_(2)reduction,environmental remediation,and photocatalytic oxidation and reduction *** order to design heterostructures,the review delves into basic concepts including solar light absorption and effective charge *** also highlights significant advancements in green energy systems for water splitting,emphasizing the significance of establishing eco-friendly systems for CO_(2)reduction and hydrogen *** main purpose is to produce hydrogen through sustainable and ecologically friendly energy *** review intends to foster the development of greener and more sustainable energy source by encouraging researchers and developers to focus on practical applications and advancements in solar-powered photocatalysis.

关键词： Green energy system Hydrogen evolution CO_(2)reduction Ⅲ-Ⅴsemiconductors Photo electrochemical water splitting

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Reachability-Based Confidence-Aware Probabilistic Collision Detection in Highway Driving

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Engineering 2024年第2期33卷 90-107页

作者： Xinwei Wang Zirui Li Javier Alonso-mora Meng Wang School of Engineering and Materials Science Queen Mary University of LondonLondon E14NSUK Department of Cognitive robotics Delft University of TechnologyDelft 2628 CDNetherlands School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China Chair of Traffic Process Automation “Friedrich List”Faculty of Transport and Traffic SciencesTU DresdenDresden 01069Germany

Risk assessment is a crucial component of collision warning and avoidance systems for intelligent ***-based formal approaches have been developed to ensure driving safety to accurately detect potential vehicle ***,they suffer from over-conservatism,potentially resulting in false–positive risk events in complicated real-world *** this paper,we combine two reachability analysis techniques,a backward reachable set(BRS)and a stochastic forward reachable set(FRS),and propose an integrated probabilistic collision–detection framework for highway *** this framework,we can first use a BRS to formally check whether a two-vehicle interaction is safe;otherwise,a prediction-based stochastic FRS is employed to estimate the collision probability at each future time ***,the framework can not only identify non-risky events with guaranteed safety but also provide accurate collision risk estimation in safety-critical *** construct the stochastic FRS,we develop a neural network-based acceleration model for surrounding vehicles and further incorporate a confidence-aware dynamic belief to improve the prediction *** experiments were conducted to validate the performance of the acceleration prediction model based on naturalistic highway driving *** efficiency and effectiveness of the framework with infused confidence beliefs were tested in both naturalistic and simulated highway *** proposed risk assessment framework is promising for real-world applications.

关键词： Probabilistic collision detection Confidence awareness Probabilistic acceleration prediction Reachability analysis Risk assessment

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Prevalence of Noise-Induced Hearing Loss Related to the Mills in the Markets of the Municipality of Parakou in 2021

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International Journal of Otolaryngology and Head & Neck Surgery 2024年第1期13卷 1-10页

作者： Fatiou Alabi Bouraïma Cocouvi Bruno Ametonou Ulrich Bidossèssi Vodouhe François Avakoudjo Jorelle Wafo Marius Claude Flatin Spéro H. R. Hounkpatin Wassi Adjibabi Faculty of Medicine University of Parakou Parakou Benin Faculty of Health Sciences University of Abomey-Calavi Cotonou Benin

Introduction: Noise is the second leading cause of hearing loss in adults after presbycusis. The objective of this work was to study hearing loss induced by the noise of mills in the markets of Parakou. Methods: This was a descriptive and analytical cross-sectional study, conducted from February 3 to June 3, 2021 in the markets of Parakou. It concerned millers and sellers located within a 5 meter radius around the mills and among whom pure-tone audiometry was performed to detect a hearing loss. Subjects with no particular medical health history, under 55 years of age and having been working in these markets since more than 12 months, were included. Results: In this study, 103 subjects were selected, including 43 millers and 61 sellers. Their average age was 29 ± 13 years. The sex ratio was 0.49. The average length of service in the profession was 8 years with the extremes of 3 months and 47 years. They were exposed to noise on average 10 hours per day and 6 days a week. The average duration of weekly noise exposure was 23 h 28 min ± 13 h 32 min with the extremes of 5 h 00 min and 52 h 30 min. The average level of noise exposure was 90 dB with the extremes of 72 and 110 dB. 24 subjects reported symptoms related to noise such as headache, tinnitus, and hearing loss, with respective proportions of 22.33%, 20.39% and 06.80%. The prevalence of noise-related hearing loss was 26.21% (n = 27/103). Subjects with a notch at 4000 Hz and normal Average Hearing Loss (AHL) (20.39%) had a seven-time greater risk of developing noise-induced hearing loss (OR = 6.58;95% CI [2.54 - 18.8], p Conclusion: Hearing loss related to the noise of mills affected both millers and sellers near the mills in markets, hence the importance of regulating mills.

关键词： Noise-Induced Hearing Loss Mills Markets Parakou

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Optimized Convolutional Neural Network Models for Skin Lesion Classification

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Computers, Materials & Continua 2022年第2期70卷 2131-2148页

作者： Juan Pablo Villa-Pulgarin Anderson Alberto Ruales-Torres Daniel Arias-GarzónMario alejan.ro Bravo-Ortiz Harold Brayan Arteaga-Arteaga alejan.ro mora-rubiojesus alejan.ro alzate-grisales Esteban Mercado-Ruiz M.Hassaballah Simon Orozco-Arias Oscar Cardona-morales Reinel Tabares-Soto Department of Electronics and Automation Universidad Autónoma deManizalesManizales170001Colombia SEDMATEC Corporación Universitaria Autónoma de Nari駉Pasto520002Colombia Department of Computer Science Faculty of Computers and InformationSouth Valley UniversityQena83523Egypt Department of Computer Science Universidad Autónoma de ManizalesManizales170001Colombia Department of Systems and Informatics Universidad de CaldasManizales170001Colombia

Skin cancer is one of themost severe diseases,andmedical imaging is among themain tools for cancer *** images provide information on the evolutionary stage,size,and location of tumor *** paper focuses on the classification of skin lesion images considering a framework of four experiments to analyze the classification performance of Convolutional Neural Networks(CNNs)in distinguishing different skin *** CNNs are based on transfer learning,taking advantage of ImageNet ***,in each experiment,different workflow stages are tested,including data augmentation and fine-tuning *** CNN models based on DenseNet-201,Inception-ResNet-V2,and Inception-V3 are proposed and compared using the HAM10000 *** results obtained by the three models demonstrate accuracies of 98%,97%,and 96%,***,the best model is tested on the ISIC 2019 dataset showing an accuracy of 93%.The proposed methodology using CNN represents a helpful tool to accurately diagnose skin cancer disease.

关键词： Deep learning skin lesion convolutional neural network data augmentation transfer learning

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Development of the modified k-ε turbulence model of power-law fluid for engineering applications

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Science China(Technological Sciences) 2012年第1期55卷 276-284页

作者： ro Kyoungchul RYOU HongSun Department of Mechanical Engineering Chung-Ang University

In the present study, a high Reynolds number version of a turbulence model was proposed by using drag reduction to analyze the turbulent flows of power-law fluid for engineering applications. In order to determine the model constants in the constitutive equation, numerical simulation was conducted under the same conditions that were applied to obtain the experiment re- suits and previous turbulence models. For validation of the modified turbulence model, numerical simulations were performed for power-law fluids of different viscosities. The results of the modified k-ε turbulence model showed better agreement with the experimental results than those of the standard k-ε turbulence model. In addition, computation time and computer resource of the modified k-ε turbulence model were reduced by about one third as compared to the low Reynolds number model for power-law fluids.

关键词： power-law fluid turbulent flow drag reduction turbulence model computational fluid dynamics(CFD)

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Histopathological impact of SARS-CoV-2 on the liver:Cellular damage and long-term complications

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World Journal of Gastroenterology 2024年第22期30卷 2866-2880页

作者： Alfonso rodriguez-Espada Moises Salgado-de la mora Briana Mariette rodriguez-Paniagua Nathaly Limonde la rosa Monica Itzel Martinez-Gutierrez Santiago Pastrana-Brandes Nalu Navarro-Alvarez Department of Molecular Biology Universidad Panamericana School of MedicineCampus MéxicoMexico 03920Mexico Department of Internal Medicine Instituto Nacional de Ciencias Médicas y Nutrición Salvador ZubiránMexico 14080Mexico Department of Surgery University of Colorado Anschutz Medical CampusDenverCO 80045United States PECEM Facultad de MedicinaUniversidad Nacional Autónoma de MéxicoMexico 04360Mexico Department of Gastroenterology Instituto Nacional de Ciencias Médicas y Nutrición Salvador ZubiránMexico 14080Mexico

Coronavirus disease 2019(COVID-19),caused by the highly pathogenic severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),primarily impacts the respiratory tract and can lead to severe outcomes such as acute respiratory distress syndrome,multiple organ failure,and *** extensive studies on the pathogenicity of SARS-CoV-2,its impact on the hepatobiliary system remains *** liver injury is commonly indicated by reduced albumin and elevated bilirubin and transaminase levels,the exact source of this damage is not fully *** mechanisms for injury include direct cytotoxicity,collateral damage from inflammation,drug-induced liver injury,and ischemia/***,evidence often relies on blood tests with liver enzyme *** this comprehensive review,we focused solely on the different histopathological manifestations of liver injury in COVID-19 patients,drawing from liver biopsies,complete autopsies,and in vitro liver *** present evidence of the direct impact of SARS-CoV-2 on the liver,substantiated by in vitro observations of viral entry mechanisms and the actual presence of viral particles in liver samples resulting in a variety of cellular changes,including mitochondrial swelling,endoplasmic reticulum dilatation,and hepatocyte *** ly,we describe the diverse liver pathology observed during COVID-19 infection,encompassing necrosis,steatosis,cholestasis,and lobular *** also discuss the emergence of long-term complications,notably COVID-19-related secondary sclerosing *** the histopathological liver changes occurring during COVID-19 infection is pivotal for improving patient recovery and guiding decision-making.

关键词： Liver SARS-CoV-2 COVID-19 Angiotensin-converting enzyme 2 Histopathology Liver biopsies Liver autopsy In vitro

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Video learning based image classification method for object recognition

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Journal of Central South University 2013年第9期20卷 2399-2406页

作者： LEE Hong-ro SHIN Yong-ju Department of NTIS Center Korea Institute of Science & Technology Information

Automatic image classification is the first step toward semantic understanding of an object in the computer vision *** key challenge of problem for accurate object recognition is the ability to extract the robust features from various viewpoint images and rapidly calculate similarity between features in the image database or video *** order to solve these problems,an effective and rapid image classification method was presented for the object recognition based on the video learning *** optical-flow and RANSAC algorithm were used to acquire scene images from each video *** the selection of scene images,the local maximum points on comer of object around local area were found using the Harris comer detection algorithm and the several attributes from local block around each feature point were calculated by using scale invariant feature transform （SIFT） for extracting local ***,the extracted local descriptor was learned to the three-dimensional pyramid match *** results show that our method can extract features in various multi-viewpoint images from query video and calculate a similarity between a query image and images in the database.

关键词： image classification multi-viewpoint image feature extraction video learning

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增材制造Ti6Al4V合金的闪速等离子体电解氧化与在生理介质中的电化学行为

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Transactions of Nonferrous Metals Society of China 2024年第4期34卷 1150-1166页

作者： H.mora-SANCHEZ C.RAMOS M.MOHEDANO B.TORRES R.ARRABAL E.MATYKINA Departamento de Ingeniería Química y de Materiales Facultad de Ciencias QuímicasUniversidad Complutense de Madrid28040 MadridSpain CIDETEC Basque Research and Technology Alliance(BRTA)Po.Miramón 19620014 Donostia-San SebastiánSpain Departamento Matemática Aplicada Ciencia e Ingeniería de Materiales y Tecnología ElectrónicaUniversidad Rey Juan CarlosC/Tulipán s/nMóstoles 28933MadridSpain

研究激光粉末床熔融增材制造(AM)(又称直接金属激光烧结)技术制备的Ti6Al4V合金等离子体电解氧化(PEO)处理及其电化学行为。通过短时间(<120 s)PEO处理(也称闪速PEO),在AM合金和传统合金表面制备了3~10μm厚、含Ca和P的涂层。然后在改... 详细信息

研究激光粉末床熔融增材制造(AM)(又称直接金属激光烧结)技术制备的Ti6Al4V合金等离子体电解氧化(PEO)处理及其电化学行为。通过短时间(<120 s)PEO处理(也称闪速PEO),在AM合金和传统合金表面制备了3~10μm厚、含Ca和P的涂层。然后在改良的α-MEM溶液中,通过动电位极化曲线和电化学阻抗谱(EIS)评估了合金的电化学行为。与传统合金相比,AM合金中形成了细小的层片状α显微组织和层间小尺寸的β相颗粒,这促使了火花的产生,从而促进了PEO涂层的生长。闪速PEO涂层提高了传统合金和AM合金的耐腐蚀性,最薄的涂层(<3μm)提供了高达3倍的保护。AM Ti6Al4V由于其高的晶界密度,易受局部缝隙腐蚀的影响。而即使短至35 s的闪速PEO处理也足以成功避免这种情况。

关键词：增材制造激光粉末床熔融等离子体电解氧化闪速PEO 钛缝隙腐蚀 α-MEM

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