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9篇 您的检索式:作者名="M.Rodríguez"
    题名 作者 年代 出处 被引量
1Influence of land use changes on the soil temperature regime of Andosols on Tenerife, Canary Islands, Spain显示文摘C.Jiménez M.Tejedor M.Rodríguez 2007European Journal of Soil Science2007,,2:1
2Gromov Hyperbolicity of Riemann Surfaces显示文摘我们在 Riemann 表面的 Gromov 意义学习 hyperbolicity。我们从“它的积木部件”的 hyperbolicity 的表面的 deducethe hyperbolicity。我们在 Riemann 表面的 hyperbolicity 和 somegraph 的 hyperbolicity 之间的等价与它联系了的 alsoprove。这些结果澄清 Riemann 表面 intoY 片和漏斗的分解怎么影响表面的 hyperbolicity。结果简化拓扑学 ofthe 表面并且允许我们从本地信息获得全球结果。José M.RODRíGUEZ EVa TOURIS 2007Acta Mathematica Sinica,English Series2007,23,2:0
3Improved deterministic and stochastic models for simulating partial discharges in non‐conducting trees inside solid dielectrics显示文摘Electrical trees are defects originated and driven by partial discharges(PD)activity and this is the reason why their modelling and simulation are fundamental for the ageing mechanisms comprehension and diagnosis analyses of insulation systems compound by solid dielectrics.This study presents a brief review of the different models implemented to simulate PD in electrical trees inside solid dielectrics.In addition,an improved deterministic model as well as a stochastic model are presented,which allow predicting adequately the PD pulses distribution,in magnitudes and phase,for non‐conducting electrical trees of different shape and length.Two case studies were simulated and their results exhibit good agreement when compared with measurements presented in the literature.It is concluded that the main parameters that state the PD behaviour in trees are the inception and extinction voltage mag-nitudes,including their probability distributions,and the tree geometry.The models can be used for prognosis analysis based on on‐line measurements.Johnatan M.Rodríguez‐Serna Ricardo Albarracín‐Sánchez 2021High Voltage2021,6,1:0
4Erratum to “On a Classical Theorem on the Diameter and Minimum Degree of a Graph”显示文摘Vernica HERNáNDEZ Domingo PESTANA José M.RODRíGUEZ 2018Acta Mathematica Sinica,English Series2018,34,12:0
5Personnel in cadaveric organ transplant‐related hospital units faced with living liver donation: an attitudinal study in a Spanish hospital with a cadaveric and living liver transplant programme显示文摘A.Ríos P.Ramírez M. M.Rodríguez L.Martínez M. J.Montoya D.Lucas P.Parrilla 2007Liver International2007,,5:1
6Large-Scale Group Decision Making:A Systematic Review and a Critical Analysis显示文摘The society in the digital transformation era demands new decision schemes such as e-democracy or based on social media.Such novel decision schemes require the participation of many experts/decision makers/stakeholders in the decision processes.As a result,large-scale group decision making(LSGDM)has attracted the attention of many researchers in the last decade and many studies have been conducted in order to face the challenges associated with the topic.Therefore,this paper aims at reviewing the most relevant studies about LSGDM,identifying the most profitable research trends and analyzing them from a critical point of view.To do so,the Web of Science database has been consulted by using different searches.From these results a total of 241 contributions were found and a selection process regarding language,type of contribution and actual relation with the studied topic was then carried out.The 87 contributions finally selected for this review have been analyzed from four points of view that have been highly remarked in the topic,such as the preference structure in which decision-makers’opinions are modeled,the group decision rules used to define the decision making process,the techniques applied to verify the quality of these models and their applications to real world problems solving.Afterwards,a critical analysis of the main limitations of the existing proposals is developed.Finally,taking into account these limitations,new research lines for LSGDM are proposed and the main challenges are stressed out.Diego García-Zamora Alvaro Labella Weiping Ding Rosa M.Rodríguez Luis Martínez 2022IEEE/CAA Journal of Automatica Sinica2022,9,6:0
7Determination of LC 50 from Daphnia magna in treated industrial waste waters and non-treated hospital effluents显示文摘A. Villegas-Navarro M.Rodríguez Santiago F.Ruiz Pérez R.Rodríguez Torres T.Dieck Abularach J.L. Reyes 1997Environment International1997,,4:1
8META-R:A software to analyze data from multi-environment plant breeding trials显示文摘META-R(multi-environment trial analysis in R)is a suite of R scripts linked by a graphical user interface(GUI)designed in Java language.The objective of META-R is to accurately analyze multi-environment plant breeding trials(METs)by fitting mixed and fixed linear models from experimental designs such as the randomized complete block design(RCBD)and the alpha-lattice/lattice designs.META-R simultaneously estimates the best linear and unbiased estimators(BLUEs)and the best linear and unbiased predictors(BLUPs).Additionally,it computes the variance-covariance parameters,as well as some statistical and genetic parameters such as the least significant difference(LSD)at 5%significance,the coefficient of variation in percentage(CV),the genetic variance,and the broad-sense heritability.These parameters are very important in the selection of top performing genotypes in plant breeding.META-R also computes the phenotypic and genetic correlations among environments and between traits,as well as their statistical significance.The genetic correlations between environments or traits can be visualized in a biplot graph or a tree diagram(dendrogram).Genetic correlations are very important for identifying environments with similar behavior or making indirect selection and identifying the most highly associated traits.META-R performs multi-environment analyses by using the residual maximum likelihood(REML)method;these analyses can be done by environment,across environments by grouping factors(stress conditions,nitrogen content,etc.)and across environments;the analyses across environments can be done with a pre-defined degree of heritability.Gregorio Alvarado Francisco M.Rodríguez Angela Pacheco Juan Burgueño JoséCrossa Mateo Vargas Paulino Pérez-Rodríguez Marco A.Lopez-Cruz 2020The Crop Journal2020,8,5:4
9Prioritizing real estate enterprises based on credit risk assessment:an integrated multi‑criteria group decision support framework显示文摘Credit risk assessment involves conducting a fair review and evaluation of an assessed subject’s solvency and creditworthiness.In the context of real estate enterprises,credit risk assessment provides a basis for banks and other financial institutions to choose suitable investment objects.Additionally,it encourages real estate enterprises to abide by market norms and provide reliable information for the standardized management of the real estate industry.However,Chinese real estate companies are hesitant to disclose their actual operating data due to privacy concerns,making subjective evalu-ation approaches inevitable,occupying important roles in accomplishing Chinese real estate enterprise credit risk assessment tasks.To improve the normative and reliability of credit risk assessment for Chinese real estate enterprises,this study proposes an integrated multi-criteria group decision-making approach.First,a credit risk assessment index for Chinese real estate enterprises is established.Then,the proposed framework combines proportional hesitant fuzzy linguistic term sets and preference ranking organization method for enrichment evaluation II methods.This approach is suitable for processing large amounts of data with high uncertainty,which is often the case in credit risk assessment tasks of Chinese real estate enterprises involving massive subjec-tive evaluation information.Finally,the proposed model is validated through a case study accompanied by sensitivity and comparative analyses to verify its rationality and feasibility.This study contributes to the research on credit assessment for Chinese real estate enterprises and provides a revised paradigm for real estate enterprise credit risk assessment.Zhen‑Song Chen Jia Zhou Chen‑Ye Zhu Zhu‑Jun Wang Sheng‑Hua Xiong Rosa M.Rodríguez Luis Martínez Mirosław J.Skibniewski 2023Financial Innovation2023,9,1:0
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