scholarly journals Betrayal – Vice or Virtue? An Ethical Perspective on Accuracy in Simultaneous Interpreting

2007 ◽  
Vol 52 (2) ◽  
pp. 290-298 ◽  
Author(s):  
Kilian G. Seeber ◽  
Christian Zelger

Abstract Simultaneous conference interpreting represents a highly complex linguistic task and a very delicate process of information transfer. Consequently, the notion of truth – which applied to the field of simultaneous interpreting entails an accurate rendition of the original message – is of pivotal importance. In spite of that, an analysis of experimental transcripts and corpora sometimes seems to suggest that interpreters betray the speaker by deliberately altering the original. While we cannot exclude that such instances do exist, we argue that sometimes what looks like betrayal may in fact be a rendition based on a sound ethical decision. In this paper we take a closer look at these situations in an attempt to shed more light on the potential motivations underlying the interpreter’s decisions and actions. Using examples from real life interpreting situations, we take the interpreter’s output and put what at first sight appears to be a betrayal of the speaker on the ethical test bench, both from a deontological and a teleological perspective. Based on this analysis we propose a model suggesting that the interpreter uses three principal message components, verbal, semantic and intentional, in order to come up with an accurate interpretation of the original, which we call “truthful rendition.”

Author(s):  
Sauro Succi

This chapter introduces the main ideas behind the application of LBE methods to the problem of turbulence modeling, namely the simulation of flows which contain scales of motion too small to be resolved on present-day and foreseeable future computers. Many real-life flows of practical interest exhibit Reynolds numbers far too high to be directly simulated in full resolution on present-day computers and arguably for many years to come. This raises the challenge of predicting the behavior of highly turbulent flows without directly simulating all scales of motion which take part to turbulence dynamics, but only those that fall within the computer resolution at hand.


2000 ◽  
Vol 10 (4) ◽  
pp. 773-803 ◽  
Author(s):  
Aviva Geva

Abstract:The traditional model of ethical decision making in business suggests applying an initial set of principles to a concrete problem and if they conflict the decision maker may attempt to balance them intuitively. The centrality of the ethical conflict in the accepted notion of “ethical problem” has diverted the attention of moral decision modelers from other ethical problems that real-world managers must face—e.g., compliance problems, moral laxity, and systemic problems resulting from the structures and practices of the business organization. The present article proposes a new model for ethical decision making in business—the Phase-model—designed to meet the full spectrum of business-related ethical problems. Drawing on the dominant moral theories in business literature, the model offers additional strategies for tackling ethical issues beyond the traditional cognitive operations of deductive application of principles to specific cases and the balancing of ethical considerations. Its response to the problems of moral pluralism in the context of decision making lies in its structural features. The model distinguishes between three phases of the decision-making process, each having a different task and a different theoretical basis. After an introductory stage in which the ethical problem is defined, the first phase focuses on a principle-based evaluation of a course of action; the second phase provides a virtue-based perspective of the situation and strategies for handling unsettled conflicts and compliance problems; and the third phase adapts the decision to empirical accepted norms. An illustrative case demonstrates the applicability of the model to business real life.


Author(s):  
Alexander T. Hummel ◽  
Michael Rott ◽  
Christoph Schneider ◽  
David Kuschnertschuk ◽  
Günther Stelzner ◽  
...  

This paper presents an evaluation of various rotordynamic parameters at commercial vehicle turbochargers, which are operated supercritically in full-floating hydrodynamic journal bearing systems. The evaluation is conducted by using an experimental approach to determine the performance of the rotor-bearing-system in a real-life assembly at a hot gas test bench. This takes support stiffness, external heating and the excitation by seals, thrust bearings and gas forces into account, while Engine-specific excitation is not present. The system’s ability to carry additional unbalance load at different oil support pressures without the occurrence of mixed friction throughout a complete run-up is assessed. By executing this assessment for multiple assemblies with different bearings, rotors and oil types, the influence of main design and boundary parameters on the effective journal bearing performance of turbochargers is quantified.


Transport ◽  
2008 ◽  
Vol 23 (4) ◽  
pp. 291-298 ◽  
Author(s):  
Saleh Yousefi ◽  
Mahmood Fathy

In the recent years, direct message exchange between vehicles in order to improve the safety of road traffic has been attracting lots of interest in both networking and road safety communities. While travelling on a road, vehicles form an ad hoc network called Vehicular Ad hoc NETwork (VANET) and deploy life safety applications. Evaluating the performance of these applications is primordial for realizing VANETs in real life. Current literature lacks efficient ways to evaluate the performance of safety applications and mostly leverages on classical networking metrics like delay, delivery rate etc. In this paper, we consider both networking and safety concerns simultaneously to come up with more efficient methods. In particular, we first point out the significance of fairness and coverage from safety viewpoint. Then, we introduce two new metrics called beaconing rate and effective range aiming at providing more facilities for safety performance evaluation in VANET s research. Furthermore, realizing special characteristics of safety applications while disseminating beacon messages, we study the way that beacon dissemination protocols affect the performance of safety applications. We then conduct extensive simulation study to show the usefulness of the introduced metrics and derive some insights on the feasibility of driver‐assistant safety applications. Our evaluation also shows that sending the aggregated status of neighbouring vehicles in addition to vehicle's own status, and instead, increasing beacon transmission interval may be invoked in order to assist safety applications in providing satisfactory services to drivers.


Object detection (OD) within a video is one of the relevant and critical research areas in the computer vision field. Due to the widespread of Artificial Intelligence, the basic principle in real life nowadays and its exponential growth predicted in the epochs to come, it will transmute the public. Object Detection has been extensively implemented in several areas, including human-machine Interaction, autonomous vehicles, security with video surveillance, and various fields that will be mentioned further. However, this augmentation of OD tackles different challenges such as occlusion, illumination variation, object motion, without ignoring the real-time aspect that can be quite problematic. This paper also includes some methods of application to take into account these issues. These techniques are divided into five subcategories: Point Detection, segmentation, supervised classifier, optical flow, a background modeling. This survey decorticates various methods and techniques used in object detection, as well as application domains and the problems faced. Our study discusses the cruciality of deep learning algorithms and their efficiency on future improvement in object detection topics within video sequences.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Xiaolong Deng ◽  
Hao Ding ◽  
Yong Chen ◽  
Cai Chen ◽  
Tiejun Lv

In recent years, while extensive researches on various networks properties have been proposed and accomplished, little has been proposed and done on network robustness and node vulnerability assessment under cascades in directed large-scale online community networks. In essential, an online directed social network is a group-centered and information spread-dominated online platform which is very different from the traditional undirected social network. Some further research studies have indicated that the online social network has high robustness to random removals of nodes but fails to the intentional attacks, particularly to those attacks based on node betweenness or node directed coefficient. To explore on the robustness of directed social network, in this article, we have proposed two novel node centralities of ITG (information transfer gain-based probability clustering coefficient) and I M p v (directed path-based node importance centrality). These two new centrality models are designed to capture this cascading effect in directed online social networks. Furthermore, we also propose a new and highly efficient computing method based on iterations for I M p v . Then, with the abundant experiments on the synthetic signed network and real-life networks derived from directed online social media and directed human mobile phone calling network, it has been proved that our ITG and I M p v based on directed social network robustness and node vulnerability assessment method is more accurate, efficient, and faster than several traditional centrality methods such as degree and betweenness. And we also have proposed the solid reasoning and proof process of iteration times k in computation of I M p v . To the best knowledge of us, our research has drawn some new light on the leading edge of robustness on the directed social network.


2019 ◽  
Vol 30 (3) ◽  
pp. 942-951 ◽  
Author(s):  
Lanfang Liu ◽  
Yuxuan Zhang ◽  
Qi Zhou ◽  
Douglas D Garrett ◽  
Chunming Lu ◽  
...  

Abstract Whether auditory processing of speech relies on reference to the articulatory motor information of speaker remains elusive. Here, we addressed this issue under a two-brain framework. Functional magnetic resonance imaging was applied to record the brain activities of speakers when telling real-life stories and later of listeners when listening to the audio recordings of these stories. Based on between-brain seed-to-voxel correlation analyses, we revealed that neural dynamics in listeners’ auditory temporal cortex are temporally coupled with the dynamics in the speaker’s larynx/phonation area. Moreover, the coupling response in listener’s left auditory temporal cortex follows the hierarchical organization for speech processing, with response lags in A1+, STG/STS, and MTG increasing linearly. Further, listeners showing greater coupling responses understand the speech better. When comprehension fails, such interbrain auditory-articulation coupling vanishes substantially. These findings suggest that a listener’s auditory system and a speaker’s articulatory system are inherently aligned during naturalistic verbal interaction, and such alignment is associated with high-level information transfer from the speaker to the listener. Our study provides reliable evidence supporting that references to the articulatory motor information of speaker facilitate speech comprehension under a naturalistic scene.


2020 ◽  
Vol 29 (12) ◽  
pp. 980-987 ◽  
Author(s):  
Juliëtte A Beuken ◽  
Daniëlle M L Verstegen ◽  
Diana H J M Dolmans ◽  
Laura Van Kersbergen ◽  
Xavier Losfeld ◽  
...  

BackgroundCross-border healthcare is complex, increasingly frequent and causes potential risks for patient safety. In this context, cross-border handovers or the transfer of patients from one country to another deserves particular attention. Although general handover has been the topic of extensive research, little is known about the challenges of handover across national borders, especially as perceived by stakeholders. In this study, we aimed to gain insight into healthcare professionals’ perspectives on cross-border handover and ways to support this.MethodsWe conducted semistructured interviews with healthcare professionals (physicians, nurses, paramedics and administrative staff) in a European border region to investigate their perspectives on cross-border handover. The interviews were aimed to investigate settings of acute and planned handover. Informed by the theory of planned behaviour (TPB), interviews focused on participant perspectives. We summarised all interviews and inductively identified healthcare professionals’ perspectives. We used elements of the TPB as sensitising concepts.ResultsForty-three healthcare professionals participated. Although respondents had neutral to positive attitudes, they often did not know very well what was expected of them or what influence they could have on improving cross-border handover. Challenges covered five themes: information transfer, language barriers, task division and education, policy and financial structures and cultural differences. To overcome these challenges, we proposed strategies such as providing tools and protocols, discussing and formalising collaboration, and organising opportunities to meet and get to know each other.ConclusionHealthcare professionals involved in cross-border handovers face specific challenges. It is necessary to take measures to come to a shared understanding while paying special attention to the above-mentioned challenges. Meeting in person around meaningful activities (eg, training and case discussions) can facilitate sharing ideas and community building.


2020 ◽  
Vol 24 (1) ◽  
pp. 49-58 ◽  
Author(s):  
Tyler Prochnow ◽  
Megan S. Patterson ◽  
Logan Hartnell

Purpose The increase of videogame use has raised concerns regarding mental health of gamers (e.g. social isolation, depression); however, online gaming may offer the benefit of social connectivity. Many games provide ways for people to meet and interact, providing social opportunities difficult to come by for some young adults. One way to investigate social connection is through social network analysis, which explores the influence of connections on behaviors. The purpose of this paper is to analyze factors related to social connections within an online gaming community, with an emphasis on the influence of social support and depressive symptoms on network ties. Design/methodology/approach All members of an online gaming site were asked to report demographics, site use, depressive symptoms, “in-real-life” (IRL) social support, and online social support. Members were also asked to nominate those in their gaming network with whom they spoke to about important life matters. Moran’s I determined the spatial autocorrelation of depressive symptoms and IRL support within the network. Exponential random graph modeling determined factors significantly associated with tie presence between members. Findings Members (n=37) were significantly more likely to speak to other members about important life matters if they reported more site hours, more depressive symptoms, and less IRL support. Depressive symptoms and IRL support were not significantly spatially autocorrelated within this network. Originality/value Results suggest members may be filling an IRL social support deficit with friends they have met online. Additionally, members who reported more depressive symptoms may be seeking help from informal online connections through online gaming.


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