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Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility

Journal of Mountain Science 2022年第6期19卷 1670-1698页

作者： pedro lima Stefan STEGER Thomas GLADE Franny G.MURILLO-GARCIA University of Vienna Institute of Geography and Regional ResearchUniversitatsstrafie 7lowViennaAustria Eurac Research Institute for Earth ObservationDrususallee l/Viale Druso 139100Bozen-BolzanoItaly Institute of Geography National Autonomous University of Mexico(UNAM)Circuito ExteriorCiudad Universitaria04510CoyoacanMexico CityMexico

In recent decades, data-driven landslide susceptibility models(Dd LSM), which are based on statistical or machine learning approaches, have become popular to estimate the relative spatial probability of landslide occurrence. The available literature is composed of a wealth of published studies and that has identified a large variety of challenges and innovations in this field. This review presents a comprehensive up-to-date overview focusing on the topic of Dd LSM. This research begins with an introduction of the theoretical aspects of Dd LSM research and is followed by an in-depth bibliometric analysis of 2585 publications. This analysis is based on the Web of Science, Clarivate Analytics database and provides insights into the transient characteristics and research trends within published spatial landslide assessments. Following the bibliometric analysis, a more detailed review of the most recent publications from 1985 to 2020 is given. A variety of different criteria are explored in detail, including research design, study area extent,inventory characteristics, classification algorithms, predictors utilized, and validation technique performed. This section, dealing with a quantitativeoriented review expands the time-frame of the review publication done by Reichenbach et al. in 2018 by also accounting for the four years, 2017-2020. The originality of this research is acknowledged by combining together:(a) a recap of important theoretical aspects of Dd LSM;(b) a bibliometric analysis on the topic;(c) a quantitative-oriented review of relevant publications;and(d) a systematic summary of the findings, indicating important aspects and potential developments related to the Dd LSM research topic. The results show that Dd LSM are used within a wide range of applications with study area extents ranging from a few kilometers to national and even continental scales. In more than 70% of publications, a combination of the predictors, slope angle, aspect and geology are used.

关键词： Review Landslide susceptibility Statistical models Machine learning Bibliometrics

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National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data

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Geoscience Frontiers 2021年第6期12卷 262-276页

作者： Qigen Lin pedro lima Stefan Steger Thomas Glade Tong Jiang Jiahui Zhang Tianxue Liu Ying Wang Institute for Disaster Risk Management School of Geographical SciencesNanjing University of Information Science&TechnologyNanjing 210044China Department of Geography and Regional Research University of ViennaUniversitätsstraße 71010 ViennaAustria Institute for Earth Observation Eurac ResearchViale Druso 139100 Bolzano-BozenItaly Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education/Academy of Disaster Reduction and Emergency Management Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China

China is one of the countries where landslides caused the most fatalities in the last decades. The threat that landslide disasters pose to people might even be greater in the future, due to climate change and the increasing urbanization of mountainous areas. A reliable national-scale rainfall induced landslide susceptibility model is therefore of great relevance in order to identify regions more and less prone to landsliding as well as to develop suitable risk mitigating strategies. However, relying on imperfect landslide data is inevitable when modelling landslide susceptibility for such a large research area. The purpose of this study is to investigate the influence of incomplete landslide data on national scale statistical landslide susceptibility modeling for China. In this context, it is aimed to explore the benefit of mixed effects modelling to counterbalance associated bias propagations. Six influencing factors including lithology, slope,soil moisture index, mean annual precipitation, land use and geological environment regions were selected based on an initial exploratory data analysis. Three sets of influencing variables were designed to represent different solutions to deal with spatially incomplete landslide information: Set 1(disregards the presence of incomplete landslide information), Set 2(excludes factors related to the incompleteness of landslide data), Set 3(accounts for factors related to the incompleteness via random effects). The variable sets were then introduced in a generalized additive model(GAM: Set 1 and Set 2) and a generalized additive mixed effect model(GAMM: Set 3) to establish three national-scale statistical landslide susceptibility models: models 1, 2 and 3. The models were evaluated using the area under the receiver operating characteristics curve(AUROC) given by spatially explicit and non-spatial cross-validation. The spatial prediction pattern produced by the models were also investigated. The results show that the landslide inve

关键词： Statistical modelling Landslide susceptibility Generalized additive model Mixed-effects model China

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Trustworthy evidence- based versus untrustworthy guidelines: detecting the difference

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Family Medicine and Community Health 2023年第4期11卷 85-90页

作者： João pedro lima Wimonchat Tangamornsuksan Gordon H Guyatt Department of Health Research Methods Evidenceand ImpactMcMaster UniversityHamiltonOntarioCanada

Guidelines are essential tools in healthcare *** guidelines inform clinicians not only on the direction(against or in favour)and strength(strong or weak/conditional)of recommendations but also on the certainty of the underlying *** trustworthy guidelines requires panellists with clinical and methodological expertise who consider patients’values and *** to trustworthiness standards remains variable;clinicians should,therefore,be able to distinguish trustworthy from untrustworthy *** this paper,we offer eight domains of disparities between trustworthy evidence-based guidelines and less trustworthy guidelines.

关键词： worthy trust lists

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Big Data Analysis in Smart Manufacturing: A Review

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International Journal of Communications, Network and System Sciences 2017年第3期10卷 31-58页

作者： Kevin Nagorny pedro lima-Monteiro Jose Barata Armando Walter Colombo ATB—Institute for Applied Systems Technology Bremen GmbH Wiener Straß e Bremen Germany Uninova-Instituto Desenvolvimento de Novas Tecnologias Faculdade de Ciências e Tecnologia Caparica Portugal Institute for Industrial Informatics Automation and Robotics of the University of Applied Sciences Emden/Leer Constantiaplatz Emden Germany

The technological evolution emerges a unified (Industrial) Internet of Things network, where loosely coupled smart manufacturing devices build smart manufacturing systems and enable comprehensive collaboration possibilities that increase the dynamic and volatility of their ecosystems. On the one hand, this evolution generates a huge field for exploitation, but on the other hand also increases complexity including new challenges and requirements demanding for new approaches in several issues. One challenge is the analysis of such systems that generate huge amounts of (continuously generated) data, potentially containing valuable information useful for several use cases, such as knowledge generation, key performance indicator (KPI) optimization, diagnosis, predication, feedback to design or decision support. This work presents a review of Big Data analysis in smart manufacturing systems. It includes the status quo in research, innovation and development, next challenges, and a comprehensive list of potential use cases and exploitation possibilities.

关键词： Big Data Analysis Smart Manufacturing Systems Data Mining Decision Support Cyber-Physical Systems

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Gram-negative bacterial diversity and evidence of international clones of multidrug-resistant strains in zoo animals

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Integrative Zoology 2024年第3期19卷 417-423页

作者： João pedro Rueda FURLAN Micaela Santana RAMOS Fábio Parra SELLERA Irys Hany lima GONZALEZ Patrícia Locosque RAMOS Eliana Guedes STEHLING Department of Clinical Analyses Toxicology and Food ScienceSchool of Pharmaceutical Sciences of Ribeirão PretoUniversity of São PauloRibeirão PretoBrazil Department of Internal Medicine School of Veterinary Medicine and Animal ScienceUniversity of São PauloSão PauloBrazil School of Veterinary Medicine Metropolitan University of SantosSantosBrazil Coordination of Wild Fauna Secretary of EnvironmentInfrastructure and LogisticsSão PauloBrazil

Antimicrobial resistance(AMR)is a growing phenomenon that poses a major public health challenge worldwide(Dhingra et al.2020;Antimicrobial Resistance Collaborators 2022).The selective pressure exerted in clinical settings has contributed to the longlasting successful dissemination of multidrug-resistant(MDR)Gram-negative bacteria in these environments(Chia et al.2020).

关键词： multidrug clinical

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时空探索：追踪古人类

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文明 2008年第4期 36-55+6页

作者： pedro lima 李亦萌贾欣 Pascal Goethgeluck-Dragonimage

人类从何而来?从第一个人科动物出现到智人降生,数十种高级灵长目动物先后登场,最终又黯然离去……纪录片《时空探索》唤醒我们潜藏的"记忆"。在这部由7个国家联合、长达7年制作、跨越了几个大陆拍摄的影片里,我们的祖先奔波,相爱乃至死... 详细信息

人类从何而来?从第一个人科动物出现到智人降生,数十种高级灵长目动物先后登场,最终又黯然离去……纪录片《时空探索》唤醒我们潜藏的"记忆"。在这部由7个国家联合、长达7年制作、跨越了几个大陆拍摄的影片里,我们的祖先奔波,相爱乃至死亡,生命的循环一直至今……

关键词：古人类灵长目海德堡人古生物学家

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脚印中的过去

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新发现 2019年第8期 68-71页

作者： pedro lima 邹伶俐(编译) 不详

为了研究有着数千年历史的人类足迹,考古学家请来了纳米比亚某部落的原住民桑人,这些特殊的足迹专家能为我们揭示祖先的生活。

关键词：脚印纳米比亚考古学家原住民祖先

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杀机四伏植物的生存策略

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文明 2007年第8期 98-113+6页

作者： Pascal Goetgheluck-Dragonimage pedro lima 李亦萌贾欣

为了“填饱肚子”,在进化的过程中,许多植物掌握了一些令人难以置信的生存策略,无论是最常见的野草,还是难得一见的稀有花卉,只要耍上几个“小花招”,就能让人为它们的机智发出一连串的惊呼!借助电子扫描显微镜的帮助,我们终于亲眼见证... 详细信息

为了“填饱肚子”,在进化的过程中,许多植物掌握了一些令人难以置信的生存策略,无论是最常见的野草,还是难得一见的稀有花卉,只要耍上几个“小花招”,就能让人为它们的机智发出一连串的惊呼!借助电子扫描显微镜的帮助,我们终于亲眼见证了这些屡遭忽视的生物奇观……

关键词：生存策略捕蝇草捕虫囊

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Effect of radiative loss mechanisms on FIR thermometric parameters of Nd^(3+)-doped lithium tellurite glasses

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Journal of Rare Earths 2024年第7期42卷 1250-1257,I0002页

作者： C.Y.Morassuti A.P.L Silva L.A.O.Nunes S.M.lima L.H.C.Andrade Optical and Photothermal Spectroscopy Group(GEOF) Center for Studies in Natural Resources(CERNA)State University of Mato Grosso do Sul(UEMS)C.P.351DouradosMSBrazil Renato Archer Information Technology Center Dom Pedro I Highway(SP-65)Km 1436-Chácaras Campos dos AmaraisCampinasSPBrazil Institute of Physics of São Carlos University of São PauloSão CarlosSPBrazil

Nd^(3+)-doped tellurite glasses are promising materials for thermometers based on the fluorescence intensity ratio(FIR)***,at high Nd^(3+)concentrations,energy transfer(ET)processes such as optical reabsorption and cross-relaxation can affect the Nd^(3+)emission,which has been little explored in the ***,the present work investigated the use of Nd^(3+)-doped tellurite glass(samples doped with Nd^(3+)at 0.2 mol%,0.5 mol%,2.0 mol%,and 4.0 mol%)in fluorescence thermometers,in the temperature range from 299 to 371 *** results indicate a strong dependence of the FIR parameters on the Nd^(3+)concentration,due to changes in the emission band profiles caused by optical reabsorption of the Nd^(3+)emissions and cross-relaxation processes.A decrease of the relative sensitivity of the ratio^(4)F_(5/2)→^(4)I_(9/2)/^(4)F_(3/2)→^(4)I_(9/2)is observed for samples doped with higher amounts of Nd^(3+).The maximum relative sensitivity at 299 K is 3.00%/K,which is the highest value among the reported Nd^(3+)ions.

关键词： Nd^(3+)-doped tellurite glass Fluorescence intensity ratio Optical thermometry Judd-Ofelt Rare earths

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Influence of the Deep Cryogenic Treatment at the Stabilization of Martensitic Transformation Temperatures at the Smart Material Alloy Cu-14Al-4Ni

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材料科学与工程（中英文A版） 2020年第2期10卷 60-64页

作者： Emmanuel Pacheco Rocha lima Marcelo Nava pedro Cunha de lima Faculdade do Gama Universidade de BrasíliaGama 72444-240Brasil

DCT(deep cryogenic treatment)is commonly used in industry to improve the wear resistance characteristics of steels,***,there are just a few researches about the effects on non-ferrous *** purpose of this work was to investigate how DCT affects the properties of Cu-14Al-4Ni alloy treated at different soak time and submitted to thermomechanical cycling.A comparative experimental analysis was performed of the thermal properties of alloys obtained on a vacuum furnace,treated by DCT and thermomechanically *** results indicates that thermomechanical cycling promoted the appearance and growth of the martensitic phaseγ'1,less ductile than the martensitic phaseβ'1,which together with the induced hardening produced an increase in transformation temperatures and *** higher the number of cycles,the greater these *** DCT promoted an increase in the intensity of the diffraction peaks corresponding to the phaseβ'1 and the maintenance of them during the thermomechanical cycling of the material,which indicates that the DCT stabilizes the martensitic phaseβ'1 and,consequently,caused a reduction and stabilization of the martensitic transformation temperatures and the microhardness,when compared to the untreated *** longer the soaking time of DCT,the greater these effects.

关键词： DCT SMA(shape memory alloy) Cu-Al-Ni alloy

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