Artistas chinos y taiwaneses contemporáneos en España. reflexiones desde una perspectiva de género

[ES] En los inicios del siglo XXI, el concepto de multiculturalismo está en boca de todos. La colisión de las diferentes culturas, provoca un choque cultural intenso. Este concepto hace hincapié en preservar las características propias de cada una de ellas, y pretende además que se respeten mutuamente. Europa se ha convertido en una escena importante de la diversidad cultural, ya que mantiene la cultura tradicional y la variedad cultural de los otros continentes. Hoy la floreciente economía de China está impulsando a los países occidentales a centrarse en su cultura. El arte contemporáneo chino se ha transformado en protagonista de la escena artística. Sin embargo, el sistema patriarcal que se presenta en nuestra sociedad, ignora el talento de las mujeres, en este caso, de las artistas chinas y taiwanesas. En la escena artística occidental, estas artistas pertenecen a un grupo minoritario, aunque residan en un país multicultural. Las artistas de la diáspora mantienen las características de las otras etnias, y por tanto son transmisoras de las diferentes culturas. Esta investigación pretende destacar la situación de los artistas contemporáneos chinos y taiwaneses en el ámbito artístico español, centrándose principalmente en las mujeres artistas de China y Taiwán. También recopilar y analizar las diversidades culturales que se reflejan entre España y Asia, utilizando una perspectiva de género, enfocada al tema de identidad y consciencia de género.[EN]In the beginning of this century, the concept of multiculturalism is on everyone's lips. The collision of different cultures, causes a severe culture shock. This concept emphasizes preserving the characteristics of each, and also intends to respect each other. Europe has become an important scene of cultural diversity, and maintaining traditional culture and the cultural variety of the other continents. Today China's booming economy is driving the Western countries to focus on their culture. Chinese contemporary art has become a star of the art scene. However, the patriarchal system that occurs in our society ignores the talents of women, in this case, the Chinese and Taiwanese artists. In the Western art scene, these artists belong to a minority group, even if they reside in a multicultural country. The artists of the diaspora maintain the characteristics of the other ethnic groups, and thus are carriers of different cultures. This research aims to highlight the plight of the Chinese and Taiwanese contemporary artists in the artistic Spanish, primarily focusing on women artists of China and Taiwan. We also collect and analyze cultural diversity are reflected between Spain and Asia, using a gender perspective, focused on the theme of gender identity and consciousness

Demonstration of dual gain mechanism in an InGaAs/InAlAs superlattice photodiode

A high‐gain photodiode in which the internal gain can result from either potential barrier lowering or mass filtering action, depending on device geometry and bias conditions, is proposed and demonstrated. The photodiode structure is similar to a modulated barrier diode and uses In0.53Ga0.47As and InGaAs/InAlAs superlattice absorption regions. The superlattice helps to reduce the dark current and aids in mass filtering. The devices reported here were made with multilayered InP‐based materials grown by molecular beam epitaxy and exhibit responsivity as high as 1000 A/W.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/69816/2/APPLAB-50-17-1176-1.pd

Shape restricted regression with random Bernstein polynomials

Shape restricted regressions, including isotonic regression and concave regression as special cases, are studied using priors on Bernstein polynomials and Markov chain Monte Carlo methods. These priors have large supports, select only smooth functions, can easily incorporate geometric information into the prior, and can be generated without computational difficulty. Algorithms generating priors and posteriors are proposed, and simulation studies are conducted to illustrate the performance of this approach. Comparisons with the density-regression method of Dette et al. (2006) are included.Comment: Published at http://dx.doi.org/10.1214/074921707000000157 in the IMS Lecture Notes Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org

A Hierarchical Framework Using Approximated Local Outlier Factor for Efficient Anomaly Detection

AbstractAnomaly detection aims to identify rare events that deviate remarkably from existing data. To satisfy real-world appli- cations, various anomaly detection technologies have been proposed. Due to the resource constraints, such as limited energy, computation ability and memory storage, most of them cannot be directly used in wireless sensor networks (WSNs). In this work, we proposed a hierarchical anomaly detection framework to overcome the challenges of anomaly detection in WSNs. We aim to detect anomalies by the accurate model and the approximated model learned at the re- mote server and sink nodes, respectively. Besides the framework, we also proposed an approximated local outlier factor algorithm, which can be learned at the sink nodes. The proposed algorithm is more efficient in computation and storage by comparing with the standard one. Experimental results verify the feasibility of our proposed method in terms of both accuracy and efficiency

Using affinity set on mining the necessity of computed tomography scanning

Computed tomography (CT) is a medical imaging method of tomography. Digital geometry processing is used to generate a three-dimensional image of the inside of a patient from a large series of two-dimensional X-ray images taken around a single axis of rotation. The scanning ofCT has become an important tool in medical imaging to supplement X-rays and medical ultrasonography. Although it is expensive, it is the best tool to diagnose a large number of different disease entities; especially, for the trauma patients in emergency room. In this study, the trauma patients, who were treated by the CT scanning are collected in order to discover the critical knowledge; that is, what characteristics of trauma patients would lead to the necessity of CT scanning? The data mining model of affinity set and neural network (NN) are both used for resolution and comparison. Finally, studying results show that he affinity model performs better than the NN model, but the collected data lacks the explanatory power in practices. Thus, a further research is necessary

Incremental Learning from Scratch for Task-Oriented Dialogue Systems

Clarifying user needs is essential for existing task-oriented dialogue systems. However, in real-world applications, developers can never guarantee that all possible user demands are taken into account in the design phase. Consequently, existing systems will break down when encountering unconsidered user needs. To address this problem, we propose a novel incremental learning framework to design task-oriented dialogue systems, or for short Incremental Dialogue System (IDS), without pre-defining the exhaustive list of user needs. Specifically, we introduce an uncertainty estimation module to evaluate the confidence of giving correct responses. If there is high confidence, IDS will provide responses to users. Otherwise, humans will be involved in the dialogue process, and IDS can learn from human intervention through an online learning module. To evaluate our method, we propose a new dataset which simulates unanticipated user needs in the deployment stage. Experiments show that IDS is robust to unconsidered user actions, and can update itself online by smartly selecting only the most effective training data, and hence attains better performance with less annotation cost.Comment: ACL201

Effect of Tensile Offset Angles on Micro/Nanoscale Tensile Testing

For one-dimensional (1D) structures such as tubes, wires, and beams, tensile testing is a simple and reliable methodology for measuring their mechanical properties. The tensile offset angle effect on mechanical property measurement has long been ignored. In this study, theoretical and finite-element analysis(FEA) models for analyzing the tensile offset angle effect have been established. It is found that longitudinal stress decreases with increasing offset angles. The theoretically calculated elastic modulus relative errors reach 4.45% at the offset angle of 10°, whereas the experimentally measured elastic modulus relative errors are 45.4% at the offset angle of 15°. The difference in elastic modulus relative errors between the theoreticalanalysis and the experimental results is discussed with reference to the sensing system in the experimental instrumentation. To accurately measure the mechanical properties using the tensile testing technique, perfect alignment with a zero or small offset angle less than 5° is needed. A calibration methodology for aligning specimens has been developed