scholarly journals Report on the 11th bibliometric-enhanced information retrieval workshop (BIR 2021)

2021 ◽  
Vol 55 (1) ◽  
pp. 1-9
Author(s):  
Ingo Frommholz ◽  
Guillaume Cabanac ◽  
Philipp Mayr ◽  
Suzan Verberne

The 11th Bibliometric-enhanced Information Retrieval Workshop (BIR 2021) was held online on April 1st, 2021, at ECIR 2021 as a virtual event. The interdisciplinary BIR workshop series aims to bring together researchers from different communities, especially Scientometrics/Bibliometrics and Information Retrieval. We report on the 11th BIR, its invited talks and accepted papers. Lessons learned from BIR 2021 are discussed and potential future research questions identified that position Bibliometric-enhanced IR as an exciting special yet important branch of IR research.

2022 ◽  
Vol 54 (7) ◽  
pp. 1-38
Author(s):  
Lynda Tamine ◽  
Lorraine Goeuriot

The explosive growth and widespread accessibility of medical information on the Internet have led to a surge of research activity in a wide range of scientific communities including health informatics and information retrieval (IR). One of the common concerns of this research, across these disciplines, is how to design either clinical decision support systems or medical search engines capable of providing adequate support for both novices (e.g., patients and their next-of-kin) and experts (e.g., physicians, clinicians) tackling complex tasks (e.g., search for diagnosis, search for a treatment). However, despite the significant multi-disciplinary research advances, current medical search systems exhibit low levels of performance. This survey provides an overview of the state of the art in the disciplines of IR and health informatics, and bridging these disciplines shows how semantic search techniques can facilitate medical IR. First,we will give a broad picture of semantic search and medical IR and then highlight the major scientific challenges. Second, focusing on the semantic gap challenge, we will discuss representative state-of-the-art work related to feature-based as well as semantic-based representation and matching models that support medical search systems. In addition to seminal works, we will present recent works that rely on research advancements in deep learning. Third, we make a thorough cross-model analysis and provide some findings and lessons learned. Finally, we discuss some open issues and possible promising directions for future research trends.


2017 ◽  
Vol 37 (4) ◽  
pp. 117-141 ◽  
Author(s):  
Krista Fiolleau ◽  
Theresa Libby ◽  
Linda Thorne

SUMMARY As the scope of the audit continues to broaden (Cohen, Krishnamoorthy, and Wright 2017), research questions in management control and internal control are beginning to overlap. Even so, there is little overlap between these fields in terms of published research to date. The purpose of this paper is to take a step in bridging the gap between the management control and the internal control literatures. We survey relevant findings from the extant management control literature published between 2003 and 2016 on dysfunctional behavior and the ways in which it might be mitigated. We then use the fraud triangle as an organizing framework to consider how the management control literature might help to address audit risk factors identified in SAS 99/AU SEC 316 (AICPA 2002). The outcome of our analysis is meant to identify and classify the extant management control literature of relevance to research on internal control in a manner that researchers new to the management control literature will find accessible. We conclude with a set of future research opportunities that can help to broaden the scope of current research in internal control.


2021 ◽  
pp. bmjspcare-2020-002741
Author(s):  
Paola Brunori ◽  
Maria Grazia Celani ◽  
Angelo Alberto Bignamini ◽  
Marzia Carlini ◽  
Rossella Papetti ◽  
...  

ObjectivesThe aim of this study is to collect the perspectives and values of people affected by amyotrophic lateral sclerosis (ALS) and their carers to offer clinicians, researchers and policymakers aspects which are precious in prioritising future research questions and reshaping care service organisations in a participatory approach.Design and settingCohort study using ALS Umbria, the electronic database in Italy.ParticipantsEleven patients and 33 carers who agreed to participate in the study were divided into six focus groups by ‘status’ (patient or carer) and by four severity levels of ‘burden of disease’.MethodsA semiquantitative analysis was undertaken. Each recorded group discussion was transcribed into text file and independently read by two psychologists and two ALS specialists to blindly identify needs, emotions and medical issues, which are the key semantic meanings expressed. Any disagreement in interpretation was resolved through consultation among authors.ResultsCarers pronounced significantly more words related to patient’s disease burden they cared. 40% of subjects expressed the need for ‘assistance’, regardless of the disease burden. ‘Anger’ alone represented more than 1/4 of all expressed emotions and was more common in patients than in carers (73% vs 36%, p=0.077). The most frequent medical issue expressed by 1/3 of participants was ‘difficulty in communication’.ConclusionThis study has given voice to the expectations of those affected by the burden of ALS. ‘Welfare assistance’, ‘anger management’ and resolution of ‘difficulties in communication’ represent issues that need to be analysed in a common prioritised research agenda with sensible and shared outcome measures to implement patient-centred medicine.


AI & Society ◽  
2021 ◽  
Author(s):  
Milad Mirbabaie ◽  
Lennart Hofeditz ◽  
Nicholas R. J. Frick ◽  
Stefan Stieglitz

AbstractThe application of artificial intelligence (AI) in hospitals yields many advantages but also confronts healthcare with ethical questions and challenges. While various disciplines have conducted specific research on the ethical considerations of AI in hospitals, the literature still requires a holistic overview. By conducting a systematic discourse approach highlighted by expert interviews with healthcare specialists, we identified the status quo of interdisciplinary research in academia on ethical considerations and dimensions of AI in hospitals. We found 15 fundamental manuscripts by constructing a citation network for the ethical discourse, and we extracted actionable principles and their relationships. We provide an agenda to guide academia, framed under the principles of biomedical ethics. We provide an understanding of the current ethical discourse of AI in clinical environments, identify where further research is pressingly needed, and discuss additional research questions that should be addressed. We also guide practitioners to acknowledge AI-related benefits in hospitals and to understand the related ethical concerns.


Author(s):  
Sasha Harris-Lovett ◽  
Kara L. Nelson ◽  
Paloma Beamer ◽  
Heather N. Bischel ◽  
Aaron Bivins ◽  
...  

Wastewater surveillance for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging approach to help identify the risk of a coronavirus disease (COVID-19) outbreak. This tool can contribute to public health surveillance at both community (wastewater treatment system) and institutional (e.g., colleges, prisons, and nursing homes) scales. This paper explores the successes, challenges, and lessons learned from initial wastewater surveillance efforts at colleges and university systems to inform future research, development and implementation. We present the experiences of 25 college and university systems in the United States that monitored campus wastewater for SARS-CoV-2 during the fall 2020 academic period. We describe the broad range of approaches, findings, resources, and impacts from these initial efforts. These institutions range in size, social and political geographies, and include both public and private institutions. Our analysis suggests that wastewater monitoring at colleges requires consideration of local information needs, sewage infrastructure, resources for sampling and analysis, college and community dynamics, approaches to interpretation and communication of results, and follow-up actions. Most colleges reported that a learning process of experimentation, evaluation, and adaptation was key to progress. This process requires ongoing collaboration among diverse stakeholders including decision-makers, researchers, faculty, facilities staff, students, and community members.


2020 ◽  
pp. 237337992096241
Author(s):  
Jessica Sloan Kruger ◽  
Christopher Hollister

This study examines students’ perceptions of an open pedagogy experiment in which they created their own textbook for an undergraduate public health course. The lead author’s primary motivation for developing this assignment was the high cost associated with the traditional textbooks that were otherwise needed to cover the breadth of subject matter in the course. The resulting open textbook included 19 chapters, covering all the required components of the course, and the final version was published in a statewide open educational resource repository. Students provided feedback about this undertaking by way of an end-of-term survey. The results showed high percentages of students who associated the textbook creation project with greater engagement and satisfaction than the passive use of traditional textbooks. Students also reported their perception of a learning benefit related to the creation of course content. Pedagogical implications of this study are discussed, and future research questions are proposed.


2019 ◽  
Vol 18 (1-2) ◽  
pp. 101-128
Author(s):  
Mair E. Lloyd ◽  
James Robson

Abstract Between 2000 and 2013, over 8,000 students studied the module Reading Classical Latin at the Open University, the United Kingdom’s largest distance education provider. But while many learners attained high grades, a significant proportion withdrew from study or failed the module. In 2015, the original module was replaced with a completely new course, Classical Latin: The Language of Ancient Rome. This article details the innovative ways in which new technology and pedagogical theory from Modern Foreign Language (MFL) learning were drawn on by the team designing this new module, resulting in a learning experience which gives greater emphasis to elements such as spoken Latin, the intrinsic pleasure of reading, and cultural context. The (largely positive) effects of these pedagogical changes on student success and satisfaction are subsequently analysed using a rich mix of qualitative and quantitative data. Finally, the authors reflect on lessons learned and the possibilities for future research and enhancement.


2021 ◽  
Vol 54 (3) ◽  
pp. 1-35
Author(s):  
Boubakr Nour ◽  
Hakima Khelifi ◽  
Rasheed Hussain ◽  
Spyridon Mastorakis ◽  
Hassine Moungla

Information-Centric Networking (ICN) has recently emerged as a prominent candidate for the Future Internet Architecture (FIA) that addresses existing issues with the host-centric communication model of the current TCP/IP-based Internet. Named Data Networking (NDN) is one of the most recent and active ICN architectures that provides a clean-slate approach for Internet communication. NDN provides intrinsic content security where security is directly provided to the content instead of communication channel. Among other security aspects, Access Control (AC) rules specify the privileges for the entities that can access the content. In TCP/IP-based AC systems, due to the client-server communication model, the servers control which client can access a particular content. In contrast, ICN-based networks use content names to drive communication and decouple the content from its original location. This phenomenon leads to the loss of control over the content, causing different challenges for the realization of efficient AC mechanisms. To date, considerable efforts have been made to develop various AC mechanisms in NDN. In this article, we provide a detailed and comprehensive survey of the AC mechanisms in NDN. We follow a holistic approach towards AC in NDN where we first summarize the ICN paradigm, describe the changes from channel-based security to content-based security, and highlight different cryptographic algorithms and security protocols in NDN. We then classify the existing AC mechanisms into two main categories: Encryption-based AC and Encryption-independent AC . Each category has different classes based on the working principle of AC (e.g., Attribute-based AC, Name-based AC, Identity-based AC). Finally, we present the lessons learned from the existing AC mechanisms and identify the challenges of NDN-based AC at large, highlighting future research directions for the community.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Warren Young ◽  
Russell Rayner ◽  
Scott Talpey

AbstractAgility is an important skill for both attackers and defenders in invasion sports such as codes of football. On the sporting field, agility requires reacting to a stimulus, often presented by an opponent’s movement, before a change of direction or speed. There is a plethora of research that examines the movement component of agility in isolation, which is described as change-of-direction (COD) ability, and this is thought to underpin agility performance. This opinion article proposes that COD ability should not be researched as the only or primary outcome measure when the objective is to inform agility performance in invasion sports. It is argued that pre-planned COD movements and tests lack ecological validity because they lack perception-action coupling and involve movement out of context from the game. The movement techniques and strength qualities required for the performance of COD tests can be quite different to those required for agility. It is suggested that COD tests can be applied to sports that involve pre-planned COD movements, but researchers should endeavour to use agility tests when studying invasion sports. Some new methods for assessing one-on-one agility contests are reported as potentially valuable for future research, and examples of research questions are provided.


2021 ◽  
Vol 13 (10) ◽  
pp. 5744
Author(s):  
Innocent K. Tumwebaze ◽  
Joan B. Rose ◽  
Nynke Hofstra ◽  
Matthew E. Verbyla ◽  
Daniel A. Okaali ◽  
...  

User-friendly, evidence-based scientific tools to support sanitation decisions are still limited in the water, sanitation and hygiene (WASH) sector. This commentary provides lessons learned from the development of two sanitation decision support tools developed in collaboration with stakeholders in Uganda. We engaged with stakeholders in a variety of ways to effectively obtain their input in the development of the decision support tools. Key lessons learned included: tailoring tools to stakeholder decision-making needs; simplifying the tools as much as possible for ease of application and use; creating an enabling environment that allows active stakeholder participation; having a dedicated and responsive team to plan and execute stakeholder engagement activities; involving stakeholders early in the process; having funding sources that are flexible and long-term; and including resources for the acquisition of local data. This reflection provides benchmarks for future research and the development of tools that utilize scientific data and emphasizes the importance of engaging with stakeholders in the development process.


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