Deaf interpreter education: stories and insights shared by working deaf interpreters and deaf interpreting students

The purpose of this research study was to identify existing practices in interpreter preparation as it relates to Deaf interpreting students and working Deaf interpreters. In an effort to identify patterns in curricula, instructional approach, and formative experiences, the researcher aimed to distinguish effective instructional approaches for Deaf interpreting students. Working Deaf interpreters were interviewed to offer their perspective on existing preparation practices, both in formal academic settings and formative training. Secondly, Deaf interpreting students currently enrolled in Interpreter Preparation Programs (IPPs) were asked to reflect on their academic experiences and identify the most effective practices employed in their training programs, as well as the least effective practices. It was discovered that there are several inconsistencies in IPPs across the nation related to modifying skill development exercises for Deaf students, including but not limited to: lack of Deaf presence in the classroom, limited access to Certified Deaf Interpreters (CDIs) for mentoring partnerships, lack of appropriate resources for students, and instructors’ unpreparedness for effectively training Deaf interpreters. It was concluded that existing IPP curricula need revisions to incorporate a stronger presence of Deaf professionals as interpreter educators in the classroom and that programs need to work toward increasing the numbers of enrolled Deaf interpreting students. Additionally, it was found that it might be more effective for Deaf interpreting students’ development if certain courses and skill development exercises were completed independently of hearing classmates

Stay in your lane: Density fluctuations in multi-lane traffic

When a new vehicle joins a lane, those behind may have to temporarily slow to accommodate them. Changing lane can be forced due to lane drops or junctions, but may also take place spontaneously at discretion of drivers, and recent studies have found that traffic jams and traffic oscillations can form even without such bottlenecks. Understanding how lane changing behaviour affects traffic flow is important for learning how to design roads and control traffic more effectively. Here, we present a stochastic model of spontaneous lane changing which exhibits a reduction in the overall flow of traffic. By examining the average flow rate both analytically and through simulations we find a definitive slow down of vehicles due to random switching between lanes. By extending the model to three lane traffic we find a larger impact on the flow of the middle lane compared to the side lanes.Comment: 8 pages, 4 figure

Optimal Design Of English Auctions With Discrete Bid Levels

This paper considers a form of ascending price English auction widely used in both live and online auctions. This discrete bid auction requires that the bidders submit bids at predetermined discrete bid levels, and thus, there exists a minimal increment by which the bid price may be raised. In contrast, the academic literature of optimal auction design deals almost solely with continuous bid auctions. As a result, there is little practical guidance as to how an auctioneer, seeking to maximize its revenue, should determine the number and value of these discrete bid levels, and it is this omission that is addressed here. To this end, a model of a discrete bid auction from the literature is considered, and an expression for the expected revenue of this auction is derived. This expression is used to determine both numerical and analytical solutions for the optimal bid levels, and uniform and exponential bidder’s valuation distributions are compared. Finally, the limiting case where the number of discrete bid levels is large is considered. An analytical expression for the distribution of the optimal discrete bid levels is derived, and an intuitive understanding of how this distribution maximizes the revenue of the auction is developed

Density Fluctuations in Stochastic Kinematic Flows

At the macroscopic scale, many important models of collective motion fall into the class of kinematic flows for which both velocity and diffusion terms depend only on particle density. When total particle numbers are fixed and finite, simulations of corresponding microscopic dynamics exhibit stochastic effects which can induce a variety of interesting behaviours not present in the large system limit. In this article we undertake a systematic examination of finite-size fluctuations in a general class of particle models whose statistics correspond to those of stochastic kinematic flows. Doing so, we are able to characterise phenomena including: quasi-jams in models of traffic flow; stochastic pattern formation amongst spatially-coupled oscillators; anomalous bulk sub-diffusion in porous media; and travelling wave fluctuations in a model of bacterial swarming

Cerebral Metastases from Malignant Fibrous Histiocytoma of Bone

Four patients with malignant fibrous histiocytoma of bone (MFH-B) metastasizing to brain are reported. In two cases, signs of cerebral involvement developed between 4 and 28 months after diagnosis. Both patients had known pulmonary or bony metastases. As a consequence of this experience, two further patients were subsequently identified, one with a definite cerebral metastasis and one who had an asymptomatic supratentorial lesion, possibly metastatic. It is suggested that patients with MFH-B and widespread metastatic disease at presentation or developing within a short interval should undergo cerebral imaging

Identifying patient concerns during consultations in tertiary burns services: development of the Adult Burns Patient Concerns Inventory

ObjectivesIdentifying the issues and concerns that matter most to burns survivors can be challenging. For a number of reasons, but mainly relating to patient empowerment, some of the most pressing concerns patients may have during a clinical encounter may not naturally be the focal point of that encounter. The Patient Concerns Inventory (PCI) is a tried and tested concept initially developed in the field of head and neck cancer that empowers patients during a clinical encounter through provision of a list of prompts that allows patients to self-report concerns prior to consultation. The aim of this study was to develop a PCI for adult burns patients.DesignContent for the PCI was generated from three sources: burns health-related quality of life tools, thematic analysis of one-to-one interviews with 12 adult burns patients and 17 multidisciplinary team (MDT) members. Content was refined using a Delphi consensus technique, with patients and staff members, using SurveyMonkey.SettingWithin outpatient secondary care.ParticipantsTwelve adult burns patients and MDT members from two regional burns centres.ResultsA total of 111 individual items were generated from the three sources. The Delphi process refined the total number of items to 58. The main emergent domains were physical and functional well-being (18 items), psychological, emotional and spiritual well-being (22 items), social care and social well-being (7 items) and treatment-related concerns (11 items).ConclusionsThe Adult Burns Patient Concerns Inventory is a 58-item, holistic prompt list, designed to be used in the outpatient clinic. It offers a new tool in burn care to improve communication between healthcare professionals and patients, empowering them to identify their most pressing concerns and hence deliver a more focused and targeted patient-centred clinical encounter

Density Fluctuations in Stochastic Kinematic Flows

At the macroscopic scale, many important models of collective motion fall into the class of kinematic flows for which both velocity and diffusion terms depend only on particle density. When total particle numbers are fixed and finite, simulations of corresponding microscopic dynamics exhibit stochastic effects which can induce a variety of interesting behaviours not present in the large system limit. In this article we undertake a systematic examination of finite-size fluctuations in a general class of particle models whose statistics correspond to those of stochastic kinematic flows. Doing so, we are able to characterise phenomena including: quasi-jams in models of traffic flow; stochastic pattern formation amongst spatially-coupled oscillators; anomalous bulk sub-diffusion in porous media; and travelling wave fluctuations in a model of bacterial swarming.Comment: 21 pages, 4 figures, fixed typo

Nanomaterial structure determination using XUV diffraction

Diffraction using coherent XUV radiation is used to study the structure of nanophotonic materials, in this case an ordered array of 196nm spheres. Crystal structure and defects are visible, and the nanomaterial dielectric constant determined