Exploring and Assessing Intercultural Competence

Exploring and Assessing Intercultural Competenc

Intercultural Communicative Competence: A Necessary Ability for All

In today’s world, there is a growing need to promote intercultural communicative competence (ICC) due to increasingly multilingual and multicultural societies. Moreover, more people today have contact across cultures than ever before in human history. For these reasons, ICC has become a national and international imperative and a necessary ability for all. In response, many higher education institutions seek to internationalize curricula; however, often without a coherent plan to provide intercultural education to all students. ICC is promoted primarily through study abroad programs; however, only a small percentage of students participate. Similarly, civic aid organizations in various countries promote ICC through international service programs; however, only a small percentage of their populations participate. This paper explores these activities in the United States -- with references to other countries -- and proposes a definition of ICC that includes host language ability as a fundamental component. It then considers the benefits of ICC based on data from two research projects conducted in eight countries. These studies identify attributes attained by participants in intercultural exchanges, and assess their impact on the lives of participants. The positive benefits of developing ICC are cited including their contributions toward promoting tolerance, understanding, and respect for an increasingly diverse world

A Biased Resistor Network Model for Electromigration Failure and Related Phenomena in Metallic Lines

Electromigration phenomena in metallic lines are studied by using a biased resistor network model. The void formation induced by the electron wind is simulated by a stochastic process of resistor breaking, while the growth of mechanical stress inside the line is described by an antagonist process of recovery of the broken resistors. The model accounts for the existence of temperature gradients due to current crowding and Joule heating. Alloying effects are also accounted for. Monte Carlo simulations allow the study within a unified theoretical framework of a variety of relevant features related to the electromigration. The predictions of the model are in excellent agreement with the experiments and in particular with the degradation towards electrical breakdown of stressed Al-Cu thin metallic lines. Detailed investigations refer to the damage pattern, the distribution of the times to failure (TTFs), the generalized Black's law, the time evolution of the resistance, including the early-stage change due to alloying effects and the electromigration saturation appearing at low current densities or for short line lengths. The dependence of the TTFs on the length and width of the metallic line is also well reproduced. Finally, the model successfully describes the resistance noise properties under steady state conditions.Comment: 39 pages + 17 figure

Simultaneous Measurement of Changes in Thickness and Refractive Index of Weakly Absorbing Self-Standing Solid Films Using Optical Interferometry

A nondestructive optical interferometric method, which enables a direct and simultaneous measurement of small changes in both thickness and refractive index of thin films, is described. Optical interferometric methods are sensitive to the changes in the optical path length (the product of the refractive index and the physical thickness) through the film. Thus, when the film is subjected to changing environmental conditions such as changing temperature or humidity, it is a challenge to determine the change in thickness and the change in refractive index separately, using interferometry. By simultaneously monitoring two different sets of interference fringes, i.e., transmission and reflection fringes, we have been able to successfully address this challenge. Our measurements on well-characterized pedigree glass samples are presented. The results agree well with the expected values for these samples, supporting the feasibility of this characterization technique to new materials. Self-standing, transparent (weakly absorbing) films ranging in thickness from tens to hundreds of microns can be characterized from direct measurements

Arthroscopic synovectomy in chronic inflammatory rheumatism: clinical and functional aspects

By now many authors regard arthroscopic synovectomy an integral part of therapeutic treatment of many rheumatic diseases with favourable results on post operating course and clinical picture in the long term. The pathologic synovial tissue during articular inflammatory rheumatism is well known to have a damaging effect responsible of early cartilage injury, as well as symptomatic action (e.g. articular stiffness, effusion, pain, functional limitation). Therefore to value the removal of such a tissue you should think of the secondary prevention of cartilage injury, besides the symptomatic point of view. Since 1996 we performed 190 arthroscopic synovectomy, the adopted criteria of judgement were: pain (spontaneous, during active and passive movements), effusion or swelling presence, articular range and cartilage state (evaluated during arthroscopy according to Outerbridg's classification). 70% of the cases showed good results and six years later the beginning of this activity we retain arthroscopic synovectomy as a valid help in articular inflammatory rheumatism treatment

Generative design of 3D printed hands-free door handles for reduction of contagion risk in public buildings

During the emergency caused by COVID 19 evidence has been provided about the risk of easily getting the virus by touching contaminated surfaces and then by touching eyes, mouth, or nose with infected hands. In view of the restarting of daily activities in presence, it is paramount to put in place any strategy that, in addition to social distancing, is capable to positively impact on the safety levels in public buildings by reducing such risk. The main aim of this paper is to conceive a design methodology, based on a digital, flawless, and sustainable procedure, for producing human-building interfacing solutions that allow anybody to interact in a safer and more comfortable way. Such solutions are focused on the adaptation of existing buildings features and are thought to be an alternative to sensor based touchless technology when this is not applicable due to economic or time constraints. The process is based on the integration of digital technologies such as 3D Scanning, Generative Design and Additive Manufacturing and is optimised to be intuitive and to be adaptive, hence, to be replicable on different kinds of surfaces. The design concept is finalised to generate automatically different products that meet geometry fitting requirements and therefore adapt to the specific geometries of existing handles. A specific case on Hands Free Door Handles is presented and the results of manufacturing and preliminary validation process are provided and discussed

IMAGINING CULTURES OF COOPERATION: UNIVERSITIES NETWORKING TO FACE THE NEW DEVELOPMENT CHALLENGES

The Proceedings of the CUCS Torino 2013 Congress (19-21 September 2013) represent the final step of a scientific project and of an organisational and relational process that have proved challenging, engaging and ultimately rewording. At the same time the Proceedings testify the growing contribution by the Italian universities to the debate on international development and set a new beginning towards the next CUCS Congress to be held in 2015 in Brescia, as well as towards a more tight and effective cooperation between Politecnico di Torino, University of Turin and all the other actors involved in international development cooperation within the territory of Turin and Piedmont (international organisations, local institutions, NGOs, foundations, private companies…)

Yellow Flag Fever: Describing Negative Legal Precedent in Citators

In this paper we discuss temporal and spatial patterns of brain hemodynamics under rest and motor stimulation conditions obtained by functional magnetic resonance imaging and simultaneous fast multi-channel near-infrared spectro-imaging in the human motor cortex. Our data indicate that the main difference between the brain hemodynamics under the repetitive stimulation and the rest conditions is not in the appearance of hemoglobin concentration changes during the stimulations (since fluctuations occur at rest as well), but in their more regular, Le. phase-synchronous with the stimulation behavior

Implementation of Deep-Learning-Based CSI Feedback Reporting on 5G NR-Compliant Link-Level Simulator

Advances in machine learning have widened the range of its applications in many fields. In particular, deep learning has attracted much interest for its ability to provide solutions where the derivation of a rigorous mathematical model of the problem is troublesome. Our interest was drawn to the application of deep learning for channel state information feedback reporting, a crucial problem in frequency division duplexing (FDD) 5G networks, where knowledge of the channel characteristics is fundamental to exploiting the full potential of multiple-input multiple-output (MIMO) systems. We designed a framework adopting a 5G New Radio convolutional neural network, called NR-CsiNet, with the aim of compressing the channel matrix experienced by the user at the receiver side and then reconstructing it at the transmitter side. In contrast to similar solutions, our framework is based on a 5G New Radio fully compliant simulator, thus implementing a channel generator based on the latest 3GPP 3-D channel model. Moreover, realistic 5G scenarios are considered by including multi-receiving antenna schemes and noisy downlink channel estimation. Simulations were carried out to analyze and compare the performance with current feedback reporting schemes, showing promising results for this approach from the point of view of the block error rate and throughput of the 5G data channel