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

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

Paramedics\u27 perceptions and educational needs with respect to palliative care

Introduction: In recent years the scope of palliative care has been redefined to include patients earlier in the course of their illness, and those suffering from life-limiting conditions. Paramedics may be involved in the care of these patients, especially in situations of carer distress, sudden deterioration and imminent death, as well as in non-emergent situations such as inter-facility transfers. In these scenarios, clinical decisions regarding patient care initiated by paramedics may set the trajectory for subsequent care. Objective: To identify and measure paramedics’ perspectives and educational needs regarding palliative care provision, as well as their understanding of the common causes of death. Methods: All St John Ambulance Western Australia paramedics were invited to complete a mixed methods qualitative and quantitative survey using a tool previously validated in studies involving other emergency care providers. Quantitative results are reported using descriptive statistics, while Likert-type scales were converted to ordinal variables and expressed as means +/- SD. Qualitative data was analysed using content analysis techniques and reported as themes. Results: Twenty-nine paramedics returned completed surveys. They considered palliative care to be strongly focused on end-of-life care, symptom control and holistic care. The dominant educational needs identified were ethical issues, end-of-life communication and the use of structured patient care pathways. Cancer diagnoses were overrepresented as conditions considered most suitable for palliative care, compared with their frequency as a cause of death. Conditions often experienced in ambulance practice, such as heart failure, trauma and cardiac arrhythmias were overestimated in their frequency as causes of death. Conclusions: Paramedics have a sound grasp of some important aspects of palliative care including symptom control and the holistic nature of the palliative approach. They did, however, tend to equate palliative care with care occurring in the terminal phase and saw it as being particularly applied to cancer diagnoses. Paramedic palliative care educational efforts should be focused on: ethical issues, end-of-life communication, increasing understanding of the common causes of death, and education regarding those illnesses where a palliative approach might be beneficial

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

Version 0.1 of the BigDAWG Polystore System

A polystore system is a database management system (DBMS) composed of integrated heterogeneous database engines and multiple programming languages. By matching data to the storage engine best suited to its needs, complex analytics run faster and flexible storage choices helps improve data organization. BigDAWG (Big Data Working Group) is our reference implementation of a polystore system. In this paper, we describe the current BigDAWG software release which supports PostgreSQL, Accumulo and SciDB. We describe the overall architecture, API and initial results of applying BigDAWG to the MIMIC II medical dataset.Comment: Accepted to IEEE HPEC 201

Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet

Skin cancer, a major form of cancer, is a critical public health problem with 123,000 newly diagnosed melanoma cases and between 2 and 3 million non-melanoma cases worldwide each year. The leading cause of skin cancer is high exposure of skin cells to UV radiation, which can damage the DNA inside skin cells leading to uncontrolled growth of skin cells. Skin cancer is primarily diagnosed visually employing clinical screening, a biopsy, dermoscopic analysis, and histopathological examination. It has been demonstrated that the dermoscopic analysis in the hands of inexperienced dermatologists may cause a reduction in diagnostic accuracy. Early detection and screening of skin cancer have the potential to reduce mortality and morbidity. Previous studies have shown Deep Learning ability to perform better than human experts in several visual recognition tasks. In this paper, we propose an efficient seven-way automated multi-class skin cancer classification system having performance comparable with expert dermatologists. We used a pretrained MobileNet model to train over HAM10000 dataset using transfer learning. The model classifies skin lesion image with a categorical accuracy of 83.1 percent, top2 accuracy of 91.36 percent and top3 accuracy of 95.34 percent. The weighted average of precision, recall, and f1-score were found to be 0.89, 0.83, and 0.83 respectively. The model has been deployed as a web application for public use at (https://saketchaturvedi.github.io). This fast, expansible method holds the potential for substantial clinical impact, including broadening the scope of primary care practice and augmenting clinical decision-making for dermatology specialists.Comment: This is a pre-copyedited version of a contribution published in Advances in Intelligent Systems and Computing, Hassanien A., Bhatnagar R., Darwish A. (eds) published by Chaturvedi S.S., Gupta K., Prasad P.S. The definitive authentication version is available online via https://doi.org/10.1007/978-981-15-3383-9_1

MicroRNAs Can Regulate Human APP Levels

A number of studies have shown that increased APP levels, resulting from either a genomic locus duplication or alteration in APP regulatory sequences, can lead to development of early-onset dementias, including Alzheimer's disease (AD). Therefore, understanding how APP levels are regulated could provide valuable insight into the genetic basis of AD and illuminate novel therapeutic avenues for AD. Here we test the hypothesis that APP protein levels can be regulated by miRNAs, evolutionarily conserved small noncoding RNA molecules that play an important role in regulating gene expression. Utilizing human cell lines, we demonstrate that miRNAs hsa-mir-106a and hsa-mir-520c bind to their predicted target sequences in the APP 3'UTR and negatively regulate reporter gene expression. Over-expression of these miRNAs, but not control miRNAs, results in translational repression of APP mRNA and significantly reduces APP protein levels. These results are the first to demonstrate that levels of human APP can be regulated by miRNAs

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