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Fuzzy C-means Rule Generation for Fuzzy Entry Temperature prediction in a Hot Strip Mill

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Journal of Iron and Steel Research International 2016年第2期23卷 116-123页

作者： Jose Angel BARRIOS Cesar VILLANUEVA Alberto CAVAZOS rafael COLAS Mechanical and Electrical Engineering Faculty Autonomous University of Nuevo LeonSan Nicolas de los Garza 66451Nuevo LeonMexico Hot Rolling Department Ternium ChurubuscoMonterrey 64000Nuevo LeonMexico

Variable estimation for finishing mill set-up in hot rolling is greatly affected by measurement uncertainties, variations in the incoming bar conditions and product changes. The fuzzy C-means algorithm was evaluated for rule base generation for fuzzy and fuzzy grey-box temperature estimation. Experimental data were collected from a real- life mill and three different sets were randomly drawn. The first set was used for rule-generation, the second set was used for training those systems with learning capabilities, while the third one was used for validation. The perform- ance of the developed systems was evaluated by five performance measures applied over the prediction error with the validation set and was compared with that of the empirical rule-base fuzzy systems and the physical model used in plant. The results show that the fuzzy C-means generated rule-bases improve temperature estimation; however, the best results are obtained when fuzzy C-means algorithm, grey-box modeling and learning functions are combined. Application of fuzzy C-means rule generation brings improvement on performance of up to 72%.

关键词： gray-box modeling ANFIS hot rolling temperature estimation fuzzy C-means rule base generation

Systemic treatment in EGFR-ALK NSCLC patients:second line therapy and beyond

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Cancer Biology & Medicine 2014年第3期11卷 173-181页

作者： Niki Karachaliou rafael Rosell Translational Research Unit Dr Rosell Oncology InstituteQuirón Dexeus University Hospital08028 BarcelonaSpain Cancer Biology and precision Medicine program Catalan Institute of Oncology Hospital Germans Trias i PujolCtra Canyet s/n08916 BadalonaBarcelonaSpain Fundación Molecular Oncology Research (MORe) Sabino Arana 5-1908028 BarcelonaSpain

Lung cancer is the most frequently diagnosed cancer and a leading cause of cancer mortality worldwide, with adenocarcinoma being the most common histological subtype. Deeper understanding of the pathobiology of non-small cell lung cancer(NSCLC) has led to the development of small molecules that target genetic mutations known to play critical roles in progression to metastatic disease and to influence response to targeted therapies. The principle goal of precision medicine is to define those patient populations most likely to respond to targeted therapies. However, the cancer genome landscape is composed of relatively few "mountains" [representing the most commonly mutated genes like KRAS, epidermal growth factor(EGFR), and anaplastic lymphoma kinase(ALK)] and a vast number of "hills"(representing low frequency but potentially actionable mutations). Low-frequency lesions that affect a druggable gene product allow a relatively small population of cancer patients for targeted therapy to be selected.

关键词： Lung cancer epidermal growth factor(EGFR) anaplastic lymphoma kinase fusions(ALK fusions) tyrosine kinase inhibitors(TKIs) TKI resistance

Elastography-based screening for esophageal varices in patients with advanced chronic liver disease

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World Journal of Gastroenterology 2019年第3期25卷 308-329页

作者： rafael paternostro Thomas Reiberger Theresa Bucsics Department of Medicine Ⅲ Division of Gastroenterology and Hepatology Medical University of Vienna

Elastography-based liver stiffness measurement(LSM) is a non-invasive tool for estimating liver fibrosis but also provides an estimate for the severity of portal hypertension in patients with advanced chronic liver disease(ACLD). The presence of varices and especially of varices needing treatment(VNT) indicates distinct prognostic stages in patients with compensated ACLD(cACLD). The Baveno VI guidelines suggested a simple algorithm based on LSM pa(by transient elastography, TE) and platelet count > 150 G/L for ruling-out VNT in patients with cACLD. These(and other) TE-based LSM cut-offs have been evaluated for VNT screening in different liver disease etiologies. Novel point shear-wave elastography(pSWE) and two-dimensional shear wave elastography(2D-SWE) methodologies for LSM have also been evaluated for their ability to screen for "any" varices and for VNT. Finally, the measurement of spleen stiffness(SSM) by elastography(mainly by pSWE and 2D-SWE) may represent another valuable screening tool for varices. Here, we summarize the current literature on elastography-based prediction of "any" varices and VNT. Finally,we have summarized the published LSM and SSM cut-offs in clinically useful scale cards.

关键词： Elastography Liver stiffness Spleen stiffness Shear wave Magnetic resonance elastography Varices portal hypertension Cirrhosis Advanced chronic liver disease

Disturbance and forest recovery in the Monarch Butterfly Biosphere Reserve,Mexico

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Journal of Forestry Research 2020年第5期31卷 1551-1566页

作者： Jose Lopez-Garcıa rafael M.Navarro-Cerrillo Instituto de Geografıa Universidad Nacional Autonoma de MexicoCiudad UniversitariaC.P.04510 CoyoacanDFMexico Departamento de Ingenierıa Forestal Universidad de CordobaCampus de RabanalesCarretera Nacional IV km 39614014 CordobaSpain

Analysis of the change in forest cover is important to determine stand dynamics and the processes involved in disturbance and *** of the core zone of the Monarch Butterfly Biosphere Reserve were studied using photo interpretation techniques,considering biennial changes between 1999 and 2013 and changes over the whole period of study 1999–*** matrices were elaborated to determine the processes of change involved in both recovery and *** biennial changes for the whole period amounted to 2274 ha;343 ha accounted as degraded in more than one biennial *** total changes in forest cover between 1999 and 2013 involved 4902 ha,out of which,2912 ha were affected by disturbance,and 1990 ha were *** density and 2013 vegetation cover maps,the overall accuracy was 95.6%and 90.2%,*** combining both maps,gradual processes were revealed that were not evident in separate *** methodology is useful for the management and conservation of natural protected areas.

关键词： Illegal logging Forest density change Forest recovery Conifer forests Monarch Butterfly Biosphere Reserve

Artificial intelligence and liver transplantation:Looking for the best donor-recipient pairing

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Hepatobiliary & pancreatic Diseases International 2022年第4期21卷 347-353页

作者： Javier Briceno rafael Calleja César Hervás Unit of Liver Transplantation Department of General SurgeryHospital Universitario Reina SofíaCórdobaSpain Maimónides Institute of Biomedical Research of Córdoba(IMIBIC) CórdobaSpain Department of Computer Sciences and Numerical Analysis Universidad de CórdobaCórdobaSpain

Decision-making based on artificial intelligence(AI)methodology is increasingly present in all areas of modern *** recent years,models based on deep-learning have begun to be used in organ *** into account the huge number of factors and variables involved in donor-recipient(DR)matching,AI models may be well suited to improve organ ***-based models should provide two solutions:complement decision-making with current metrics based on logistic regression and improve their *** of classifiers could be used to address this ***,not all of them are really useful for D-R ***,in the decision to assign a given donor to a candidate in waiting list,a multitude of variables are handled,including donor,recipient,logistic and perioperative *** these last two,some of them can be inferred indirectly from the team’s previous *** groups of AI models have been used in the D-R matching:artificial neural networks(ANN)and random forest(RF).The former mimics the functional architecture of neurons,with input layers and output *** algorithms can be uni-or *** general,ANNs can be used with large databases,where their generalizability is ***,they are models that are very sensitive to the quality of the databases and,in essence,they are black-box models in which all variables are ***,these models do not allow to know safely the weight of each *** the other hand,RF builds decision trees and works well with small *** addition,they can select top variables as with logistic ***,they are not useful with large databases,due to the extreme number of decision trees that they would generate,making them *** ANN and RF allow a successful donor allocation in over 80%of D-R pairing,a number much higher than that obtained with the best statistical metrics such as model for end-stage liver disease,balance of risk

关键词： Donor-recipient matching Artificial intelligence Deep learning Artificial neural networks Random forest Liver transplantation outcome

Visual analytics tool for the interpretation of hidden states in recurrent neural networks

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Visual Computing for Industry,Biomedicine,and Art 2021年第1期4卷 233-245页

作者： rafael Garcia Tanja Munz Daniel Weiskopf VISUS University of Stuttgart70569 StuttgartGermany

In this paper,we introduce a visual analytics approach aimed at helping machine learning experts analyze the hidden states of layers in recurrent neural *** technique allows the user to interactively inspect how hidden states store and process information throughout the feeding of an input sequence into the *** technique can help answer questions,such as which parts of the input data have a higher impact on the prediction and how the model correlates each hidden state configuration with a certain *** visual analytics approach comprises several components:First,our input visualization shows the input sequence and how it relates to the output(using color coding).In addition,hidden states are visualized through a nonlinear projection into a 2-D visualization space using t-distributed stochastic neighbor embedding to understand the shape of the space of the hidden *** are also employed to show the details of the evolution of the hidden state ***,a time-multi-class heatmap matrix visualizes the evolution of the expected predictions for multi-class classifiers,and a histogram indicates the distances between the hidden states within the original *** different visualizations are shown simultaneously in multiple views and support brushing-and-linking to facilitate the analysis of the classifications and debugging for misclassified input *** demonstrate the capability of our approach,we discuss two typical use cases for long short-term memory models applied to two widely used natural language processing datasets.

关键词： Visual analytics Visualization Machine learning Classification Recurrent neural networks Long shortterm memory Hidden states Interpretability Natural language processing Nonlinear projection

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体育图形设计和品牌塑造的卓越之作(上)

艺术与设计 2024年第7期 66-99页

作者：拉斐尔·埃斯克冀靖轩无不详三度

蒙古国西南部的巴彦洪戈尔省,几乎是能想象到的最偏远之地。然而,就在这样一片仿佛被时间遗忘的角落的洞穴墙壁上,镌刻着一幅新石器时代的壁画,描绘了人类最原始的活动之一——体育竞技。画面上,两名摔手紧紧相拥,为围观的观众献上表演... 详细信息

蒙古国西南部的巴彦洪戈尔省,几乎是能想象到的最偏远之地。然而,就在这样一片仿佛被时间遗忘的角落的洞穴墙壁上,镌刻着一幅新石器时代的壁画,描绘了人类最原始的活动之一——体育竞技。画面上,两名摔手紧紧相拥,为围观的观众献上表演。它吸引人的地方在于,这也许是我们所知中,涉及观众参与体育赛事的“平面设计”领域里最为古老的例证。

关键词：观众参与平面设计图形设计体育竞技体育赛事品牌塑造蒙古国新石器时代

Approach to a patient with cardiac amyloidosis

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Journal of Geriatric Cardiology 2019年第7期16卷 567-574页

作者： Christopher Strouse Alexandros Briasoulis rafael Fonseca Yogesh Jethava Department of Internal Medicine Division of HematologyOncologyand Blood and Marrow TransplantationUniversity of IowaIowa CityIAUSA Cardiomyopathy Section Cardiology DivisionUniversity of IowaIowa CityIowaUSA Bone Marrow Transplant program Mayo ClinicPhoenixArizonaUSA

1 Introduction Cardiac amyloid(CA)is characterized by inexorably progressive heart failure making early diagnosis and treatment *** article will review the pathophysiology,clinical presentation,diagnosis,prognostication and treatment of patients with CA.2 pathophysiology CA is the result of extracellular deposition of a misfolded protein into cardiac tissue,forming insoluble aggregations of rigid,nonbranching 10 nm wide *** causes impaired cardiac function by disrupting cardiac architecture,direct myotoxicity and ischemic injury secondary to infiltration of intramyocardial vessels.

关键词： Cardiac amyloidosis Heart failure The elderly

Analysis of synchronization in a supermarket refrigeration system

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Control Theory and Technology 2014年第2期12卷 154-162页

作者： rafael WISNIEWSKI John LETH Jakob G. RASMUSSEN Department of Electronic Systems Aalborg University Eredrik Bajers Vej 7C 9220 Aalborg Denmark Department of Mathematical Sciences Aalborg University Fredrik Bajers Vej 7G 9220 Aalborg Denmark

In a supermarket refrigeration, the temperature in a display cases. This leads to a synchronous operation of all display cases, case, surprisingly, influences the temperature in other display in which the expansion valves in the display cases turn on and off at exactly the same time. This behavior increases both the energy consumption and the wear of components. Besides this practical importance, from the theoretical point of view, synchronization, likewise stability, Zeno phenomenon, and chaos, is an interesting dynamical phenomenon. The study of synchronization in the supermarket refrigeration systems is the subject matter of this work. For this purpose, we model it as a hybrid system, for which synchronization corresponds to a periodic trajectory. To examine whether it is stable, we transform the hybrid system to a single dynamical system defined on a torus. Consequently, we apply a poincare map to determine whether this periodic trajectory is asymptotically stable. To illustrate, this procedure is applied for a refrigeration system with two display-cases.

关键词： Synchronization Hybrid systems Stability Limit cycles Stochastic approximation