Collaboration Of Experts Research Articles

Incidental finding of invasive lobular carcinoma within a borderline phyllodes tumour of the breast: a case report

Background: Phyllodes tumours (PTs) are rare neoplasms of the breast with similar clinical and radiological features to fibroadenomas. The presence of invasive carcinoma within a PT occurs in less than 1% of cases. Furthermore, the presence of invasive lobular carcinoma (ILC) within a borderline PT has only been reported once before in a female under the peak incidence age of 45 years, making the case presented here exceedingly rare. The incidental finding of ILC highlights the importance of the multidisciplinary team’s (MDT) collaborative expertise and rigorous investigative work-up where inconsistencies in the breast triple assessment are identified.

The benefits of big-team science for conservation: Lessons learned from trinational monarch butterfly collaborations

Many pressing conservation issues are complex problems caused by multiple social and environmental drivers; their resolution is aided by interdisciplinary teams of scientists, decision makers, and stakeholders working together. In these situations, how do we generate science to effectively guide conservation (resource management and policy) decisions? This paper describes elements of successful big-team science in conservation, as well as shortcomings and lessons learned, based on our work with the monarch butterfly (Danaus plexippus) in North America. We summarize literature on effective science teams, extracting information about elements of success, effective implementation approaches, and barriers or pitfalls. We then describe recent and ongoing conservation science for the monarch butterfly in North America. We focus primarily on the activities of the Monarch Conservation Science Partnership–an international collaboration of interdisciplinary scientists, policy experts and natural resource managers spanning government, non-governmental and academic institutions—which developed science to inform imperilment status, recovery options, and monitoring strategies. We couch these science efforts in the adaptative management framework of Strategic Habitat Conservation, the business model for conservation employed by the US Fish and Wildlife Service to inform decision-making needs identified by stakeholders from Canada, the United States, and Mexico. We conclude with elements critical to effective big-team conservation science, discuss why science teams focused on applied conservation problems are unique relative to science teams focusing on traditional or theoretical research, and list benefits of big team science in conservation.

Critical care nursing workforce in crisis: A discussion paper examining contributing factors, the impact of the COVID-19 pandemic and potential solutions.

The critical care nursing workforce is in crisis, with one-third of critical care nurses worldwide intending to leave their roles. This paper aimed to examine the problem from a wellbeing perspective, offering implications for research, and potential solutions for organisations. Discursive/Position paper. The discussion is based on the nursing and wellbeing literature. It is guided by the authors' collaborative expertise as both clinicians and researchers. Data were drawn from nursing and wellbeing peer-reviewed literature, such as reviews and empirical studies, national surveys and government and thinktank publications/reports. Critical care nurses have been disproportionately affected by the COVID-19 pandemic with studies consistently showing critical care nurses to have the worst psychological outcomes on wellbeing measures, including depression, burnout and post-traumatic stress disorder (PTSD). These findings are not only concerning for the mental wellbeing of critical care nurses, they also raise significant issues for healthcare systems/organisations: poor wellbeing, increased burnout and PTSD are directly linked with critical care nurses intending to leave the profession. Thus, the wellbeing of critical care nurses must urgently be supported. Resilience has been identified as a protective mechanism against the development of PTSD and burnout, thus offering evidence-based interventions that address resilience and turnover have much to offer in tackling the workforce crisis. However, turnover data must be collected by studies evaluating resilience interventions, to further support their evidence base. Organisations cannot solely rely on the efficacy of these interventions to address their workforce crisis but must concomitantly engage in organisational change. We conclude that critical care nurses are in urgent need of preventative, evidence-based wellbeing interventions, and make suggestions for research and practice.

Implementation of a Multimodal Knowledge-Exchange Platform to Provide Trauma Critical Care Education During the Ongoing Conflict in Ukraine

The conflict in Ukraine has forced civilian hospitals with limited trauma and battlefield medicine experience to care for casualties of war, placing significant strain on the health care system. Using the Checklist for Early Recognition and Treatment of Acute Illness and Injury (CERTAIN) program, a multimodal trauma critical care knowledge-exchange platform was created for clinicians practicing in these institutions. To describe the development and implementation of the CERTAIN for Ukraine program and to evaluate the reach of this intervention, together with participant engagement and satisfaction. This quality improvement study included clinicians caring for critically ill patients during the ongoing Ukrainian conflict who were part of a community developed using a messaging app. The program was implemented by a group of international trauma and critical care experts in collaboration with critical care leaders from the Shupyk National Healthcare University in Kyiv, Ukraine. This study evaluates data collected from the CERTAIN for Ukraine program from its launch on April 9, 2022, to August 31, 2022. The initiative comprised a longitudinal series of interactive tele-education sessions, a webpage containing the CERTAIN approach and current trauma critical care guidelines translated into Ukrainian and Russian, and a private messaging chat for asynchronous discussion. Participant engagement and satisfaction were tracked using multimedia analytics and a post-session survey. Since program launch, 838 participants have joined the messaging group, and 6 tele-education sessions have been delivered, with 1835 total views. The CERTAIN website has had 3527 visits, mainly from Ukraine (1378 [39%]) and the United States (1060 [30%]). Of the 74 completed postsession surveys, 65 respondents (88%) rated the course content excellent or very good, and 73 (99%) recommended it to others. The findings of this quality improvement study indicate that, using widely available and low-cost platforms, knowledge was shared rapidly and efficiently to a large community of clinicians practicing in a wartime environment with broad-based engagement and a high level of learner satisfaction.

Simultaneous Treatment of Complex Incisional Hernia and Stoma Reversal.

Purpose: The simultaneous repair of incisional hernias (IH) and the reconstruction of the intestinal transit may pose a challenge for many surgeons. Collaboration between units specialized in abdominal wall and colorectal surgery can favor simultaneous treatment. Methods: Descriptive study of patients undergoing simultaneous surgery of complex IH repair and intestinal transit reconstruction from the start of treatment in a joint team. All interventions were performed electively and with the collaboration of surgeons experts in abdominal wall and colorectal surgery. Results: 23 patients are included. 11 end colostomies, 1 loop colostomy, 6 end ileostomies and 5 loop ileostomies. Seven (30%) patients presented with a medial laparotomy incisional hernia, 3 (13%) with a parastomal incisional hernia, and 13 (56%) with a medial and parastomal incisional hernia. Closure of the hernial defect was achieved in 100% of cases, and reconstruction of the intestinal tract was achieved in 22 (95%). Component separation was required in 17 patients (74%), which were 11 (48%) posterior and 6 (26%) anterior. In-hospital morbidity was 9%, and only two patients presented Clavien-Dindo morbidity > III when requiring reoperation, one due to hemorrhage of the surgical bed and another due to dehiscence of the coloproctostomy. The mean follow-up was 11months, with 20 (87%) patients having no complications. Mesh had to be removed in one patient with anastomotic dehiscence, no mesh had to be removed due to surgical site infection.

Development and Validation of a Measuring Instrument for the Improvement of University Guidance and Tutoring

Guidance and tutoring in university has become relevant in the last decade, associated with various issues. However, many of the actions undertaken by universities do not meet the needs of our students. Therefore, we consider it necessary to know the perception, use and satisfaction that university students have about the tutoring they receive, raising as an objective of this work the design of a tool with which to achieve this end. In the construction of this tool, different phases have been followed: (i) a review of previous works from which ideas for the design of the instrument are taken, (ii) a validation of its content with the collaboration of experts in the field and (iii) a administration of the designed scale to a representative sample, whose analysis has allowed to verify the validity of the construct as well as its reliability. As a final result, a questionnaire with forty items distributed in four dimensions is constructed: socio-demographic profile of the students, knowledge of the students about the Tutorial Action Plan, use and knowledge of the students about academic tutoring and attitude/satisfaction of the students about academic tutoring. As a conclusion, we point out the need to promote the participation of students and enhance communication with tutors, as they are key to achieve better results.

On the concept and potential applications of a photons based device, measuring the velocity vector of an object, moving at high speed in space

The specific case of a photon source, moving at a high velocity v in space in the direction x, while emitting photons in the perfect perpendicular direction y, was considered in (Brauns, 2021). The findings in (Brauns, 2021) resulted in the irrefutable Fig. 12 in (Brauns, 2021), demonstrating the existence of a photon location-of-arrival shift effect MF, as a result of the velocity v. The, in (Brauns, 2021) predicted, MF effect was proven experimentally in (Brauns, 2021). Fig. 12 in (Brauns, 2021) is thus falsifying the view by contemporary science, that M is the photon’s location of arrival, for whatever value of v. The amplitude of MF is in fact dependent from the photon source’s velocity v. It is thus feasible to measure MF and then calculate v. Such innovative velocity measurement concept, based on photons, should be introduced urgently in a broad R&D project, involving the collaboration of experts in multiple fields. A MF shift based, one directional velocity measuring device, needs to be realized first. Thereafter a three-dimensional (x,y,z) configuration can be considered, of three of such “one-directional” based velocity measuring devices, by mounting those perpendicular to one another. When attaching such three dimensional measurement configuration to a material object (being in motion at high speed in space), such configuration will allow to measure the scalar values, of each of the three perpendicular velocity vector components of that object (total velocity vector and its direction of motion). There are multiple important potential applications in space (high velocity objects) and on our planet.

Epidemic Intelligence Models in Air Traffic Networks for Understanding the Dynamics in Disease Spread - A Case Study

Aim/Purpose: The understanding of disease spread dynamics in the context of air travel is crucial for effective disease detection and epidemic intelligence. The Susceptible-Exposed-Infectious-Recovered-Hospitalized-Critical-Deaths (SEIR-HCD) model proposed in this research work is identified as a valuable tool for capturing the complex dynamics of disease transmission, healthcare demands, and mortality rates during epidemics. Background: The spread of viral diseases is a major problem for public health services all over the world. Understanding how diseases spread is important in order to take the right steps to stop them. In epidemiology, the SIS, SIR, and SEIR models have been used to mimic and study how diseases spread in groups of people. Methodology: This research focuses on the integration of air traffic network data into the SEIR-HCD model to enhance the understanding of disease spread in air travel settings. By incorporating air traffic data, the model considers the role of travel patterns and connectivity in disease dissemination, enabling the identification of high-risk routes, airports, and regions. Contribution: This research contributes to the field of epidemiology by enhancing our understanding of disease spread dynamics through the application of the SIS, SIR, and SEIR-HCD models. The findings provide insights into the factors influencing disease transmission, allowing for the development of effective strategies for disease control and prevention. Findings: The interplay between local outbreaks and global disease dissemination through air travel is empirically explored. The model can be further used for the evaluation of the effectiveness of surveillance and early detection measures at airports and transportation hubs. The proposed research contributes to proactive and evidence-based strategies for disease prevention and control, offering insights into the impact of air travel on disease transmission and supporting public health interventions in air traffic networks. Recommendations for Practitioners: Government intervention can be studied during difficult times which plays as a moderating variable that can enhance or hinder the efficacy of epidemic intelligence efforts within air traffic networks. Expert collaboration from various fields, including epidemiology, aviation, data science, and public health with an interdisciplinary approach can provide a more comprehensive understanding of the disease spread dynamics in air traffic networks. Recommendation for Researchers: Researchers can collaborate with international health organizations and authorities to share their research findings and contribute to a global understanding of disease spread in air traffic networks. Impact on Society: This research has significant implications for society. By providing a deeper understanding of disease spread dynamics, it enables policymakers, public health officials, and practitioners to make informed decisions to mitigate disease outbreaks. The recommendations derived from this research can aid in the development of effective strategies to control and prevent the spread of infectious diseases, ultimately leading to improved public health outcomes and reduced societal disruptions. Future Research: Practitioners of the research can contribute more effectively to disease outbreaks within the context of air traffic networks, ultimately helping to protect public health and global travel. By considering air traffic patterns, the SEIR-HCD model contributes to more accurate modeling and prediction of disease outbreaks, aiding in the development of proactive and evidence-based strategies to manage and mitigate the impact of infectious diseases in the context of air travel.

Achieving a Leap in Expertise in Interpreting - Research on a Learning Platform for Network Oriented Collaborative Interpretation Expertise Based on Deliberate Practice Strategy

The improvement of interpretation expertise has gone through the development stage from novice to expert. In the developmental process of expert interpreters, the key is to enhance the interpretation expertise through deliberate practice. Deliberate practice is a concept firstly put forward by Ericsson to answer the question of how genius excels. This paper discusses how to better the mental representation and adaptive mechanism of novice by introducing the IPTAM system, a collab·orative interpretation learning platform. IPTAM (Interpreter Professional Training and Acquisition Module) for short. It is a modular interactive Online interpreting learning platform.

Hormone Receptor-Positive / HER2-Negative Early Breast Cancer High-Risk Population: An Algorithm for Optimization Systemic Adjuvant Treatment Based on 2022 Updates.

Prognostic and predictive factors for early and late distant distance recurrence risk in estrogen-receptor positive and HER2-receptor negative early breast cancer are well known, but not all these variables work equally for the prediction. The following are the most widely accepted variables for categorizing risk levels: clinic-pathologic features (tumor size, lymph node involvement, histological grade, age, menopausal status, Ki-67 expression, estrogen, and progesterone expression), primary systemic treatment response (pathologic response and/or Ki-67 downstaging), and gene expression signatures stratification. Treatment guidelines from cancer societies and collaborative groups, online predict-tools, real-world data and experts' opinion recommends different adjuvant strategies (chemotherapy, endocrine therapy, ovarian suppression, olaparib, or abemaciclib) depending on the low (< 10%), intermediate (10%-20%) or high-risk of distance recurrence at least in the first 5 years. Multiple randomized prospective trials were updated in 2022, that evidence allow us to perform a stratification of risk in pre- and postmenopausal women with estrogen-receptor positive and HER2-receptor negative early breast cancer based on a combination of clinic-pathologic features and genomic assays and guide the adjuvant systemic treatment recommendation for those with high risk.

Two Years of Experience and Methodology of Korean COVID-19 Living Clinical Practice Guideline Development.

In Korea, during the early phase of the coronavirus disease 2019 (COVID-19) pandemic, we responded to the uncertainty of treatments under various conditions, consistently playing catch up with the speed of evidence updates. Therefore, there was high demand for national-level evidence-based clinical practice guidelines for clinicians in a timely manner. We developed evidence-based and updated living recommendations for clinicians through a transparent development process and multidisciplinary expert collaboration. The National Evidence-based Healthcare Collaborating Agency (NECA) and the Korean Academy of Medical Sciences (KAMS) collaborated to develop trustworthy Korean living guidelines. The NECA-supported methodological sections and 8 professional medical societies of the KAMS worked with clinical experts, and 31 clinicians were involved annually. We developed a total of 35 clinical questions, including medications, respiratory/critical care, pediatric care, emergency care, diagnostic tests, and radiological examinations. An evidence-based search for treatments began in March 2021 and monthly updates were performed. It was expanded to other areas, and the search interval was organized by a steering committee owing to priority changes. Evidence synthesis and recommendation review was performed by researchers, and living recommendations were updated within 3-4 months. We provided timely recommendations on living schemes and disseminated them to the public, policymakers and various stakeholders using webpages and social media. Although the output was successful, there were some limitations. The rigor of development issues, urgent timelines for public dissemination, education for new developers, and spread of several new COVID-19 variants have worked as barriers. Therefore, we must prepare systematic processes and funding for future pandemics.

On the occasion of the centennial of insulin therapy (1922–2022), II-Organotherapy of diabetes mellitus (1906–1923): Acomatol. Pancreina. Insulin.

AimsThe general objective has been the historiographical investigation of the organotherapy of diabetes mellitus between 1906 and 1923 in its scientific, social and political dimensions, with special emphasis on the most relevant contributions of researchers and institutions and on the controversies generated on the priority of the "discovery" of antidiabetic hormone.MethodsWe have analyzed the experimental procedures and determination of biological parameters used by researchers during the investigated period (1906–1923): pancreatic ablation techniques, induction of acinar atrophy with preservation of pancreatic islets, preparation of pancreatic extracts (PE) with antidiabetic activity, clinical chemistry procedures (glycemia, glycosuria, ketonemia, ketonuria, etc.). The field investigation has included on-site and online visits to cities, towns, buildings, laboratories, universities, museums and research centers where the reported events took place, obtaining documents, photographic images, audiovisual recordings, as well as personal interviews complementary to the documentation consulted (primary sources, critical bibliography, reference works). The documentary archival sources have been classified according to theme, including those consulted in situ with those extracted online and digitized copies received mainly by email. Among the many archives contacted, those listed below have been most useful and have been consulted on site and on repeated visits: National Library of Medicine-Historical Archives (Bethesda, MD, USA); Archives, University of Toronto and Thomas Fisher Rare Books Library (Toronto, Ontario, Canada); Francis A. County Library of Medicine, Harvard University (Boston, Mass, USA); Zentralbibliothek der Humboldt-Universität (Berlin, DE), Geheimarchiv des Preuβischen Staates (Berlin, DE); Landesamt für Bürger—und Ordnungsangelegenheiten (LABO) (Berlin, DE); Arhivele Academiei Române şi Universitǎții Carol Davila (Bucharest, RO).Main results and conclusionsA) The European researchers Zülzer (Z Exp Path Ther 23:307–318, 1908) and Paulescu (CR Seances Soc Biol Fil 85:558, 1921) meet the requirements of the priority rule in the discovery of the antidiabetic hormone. B) Factors of socioeconomic and political nature related with the First World War and the inter-war period delayed the process of purification of the antidiabetic hormone in Europe. C) The Canadian scientist J. Collip, University of Alberta, temporarily assimilated to the University of Toronto, and the American chemist and researcher G. Walden, with the expert collaboration of Eli Lilly & Co., were the main authors of the purification process of the antidiabetic hormone. D) The scientific evidence, reflected in the heuristics of this research, allows to assert that the basic investigation carried out by the Department of Physiology of the University of Toronto, directed by the Scottish J. Macleod, in conjunction with the clinical research undertaken by the Department of Medicine of the University of Toronto (W. Campbell, A. Fletcher, D. Graham) made it possible in record time the successful treatment of patients with what was until then a deadly disease.

How technological relatedness influences inter-firm collaborative performance: an empirical study on 5 high-tech fields of scientific and technological achievements

PurposeThe purpose of this paper is to investigate the impact of two dimensions of technological relatedness, namely technological similarity and complementarity, on collaborative performance, plus the mediating role of collaboration network stickiness and the moderating role of partner expertise and geographical distance in interfirm collaboration contexts.Design/methodology/approachThis study takes Chinese Scientific and Technological Achievements (STA) of inter-firm collaboration in five high-tech fields in 2010–2020 as the sample and uses OLS regression to test the hypothesis.FindingsTechnological similarity and complementarity positively affect collaborative performance. Partner expertise negatively moderates the relationship between similarity, complementarity and collaborative performance. Geographical distance positively moderates the relationship between similarity and collaborative performance while negatively moderates that between complementarity and collaborative performance. Collaboration network stickiness partly mediates the relationship between similarity and collaborative performance.Originality/valueThis study expands literature on inter-firm collaboration, especially research on the antecedents of collaborative performance. Moreover, this study not only compensates for lack of empirical analysis in partner selection research, but also utilizes second-hand data to enhance the objectivity of analysis. Additionally, we enrich the research on the moderating role of partner expertise and geographical distance as well as the mediating role of collaboration network stickiness.

HAMLET: A framework for Human-centered AutoML via Structured Argumentation

Machine Learning (ML) plays a crucial role in data analysis and data platforms (i.e., integrated sets of technologies that collectively meet end-to-end data needs). In the last decade, we have witnessed an exponential growth in both the complexity and the number of ML techniques; leveraging such techniques to solve real-case problems has become difficult for Data Scientists. Automated Machine Learning (AutoML) tools have been devised to alleviate this task, but easily became as complex as the ML techniques themselves — with Data Scientists losing again control over the process. In this paper, we design and extend HAMLET (Human-centered AutoMl via Logic and argumEnTation), a framework that helps Data Scientists to redeem their centrality. HAMLET enables Data Scientists to express ML constraints in a uniformed human- and machine-readable medium. User-defined constraints are interpreted to drive the exploration of ML pipelines (i.e., Data Pre-processing transformations shape the data so that the ML task can be performed at its best). AutoML retrieves the most performing pipeline instance, and finally, new constraints are learned and integrated through Logic and Argumentation. By doing so, HAMLET not only allows an easy exploitation of the knowledge acquired at each iteration, but also enables its continuous revision via the AutoML tool and the collaboration of both Data Scientists and domain experts.

Imaging of pediatric calvarial and skull base tumors: A COG Diagnostic Imaging Committee/SPR Oncology Committee/ASPNR White Paper.

A standardized imaging protocol for pediatric oncology patients is essential for accurate and efficient imaging, while simultaneously promoting collaborative understanding of pathologies and radiologic assessment of treatment response. The objective of this article is to provide standardized pediatric imaging guidelines and parameters for evaluation of tumors of the pediatric orbit, calvarium, skull base, and temporal bone. This article was drafted based on current scientific literature as well as consensus opinions of imaging experts in collaboration with the Children's Oncology Group Diagnostic Imaging Committee, Society of Pediatric Radiology Oncology Committee, and American Society of Pediatric Neuroradiology.

APPLYING A COLLABORATIVE, INTERDISCIPLINARY APPROACH TO INCREASE COVID-19 VACCINE EQUITY, ACCESS, AND CONFIDENCE

Abstract The COVID-19 pandemic has impacted the health and well-being of older adults, people with disabilities, and caregivers in myriad ways. Subgroups of these populations, particularly people of color, experience higher rates of infection and mortality from COVID-19, and are also at increased risk for social disconnection, depression, economic hardship, and a host of other adverse outcomes brought on or exacerbated by the pandemic. COVID-19 vaccines are effective in preventing serious illness and play an important role in protecting vulnerable groups, yet uptake varies considerably across communities and health disparities are growing. Researchers from the Georgia Health Policy Center conducted a mixed-methods study involving a literature review, secondary data analysis, and focus groups to gather information about drivers of vaccine hesitancy and inequity. The team partnered with a multiagency collaborative, branding firm, and subject matter experts to synthesize and apply findings in the development of a statewide, multichannel vaccine communications campaign. In this session, researchers will provide an overview of the study, highlight key findings, and discuss lessons learned throughout this complex, collaborative project.

PP27 Reusing And Adapting Health Technology Assessments (HTAs): An Example From The COVID-19 Time

IntroductionHealth technology assessment (HTA) reports are complex technical documents that address multiple aspects of the incorporation of a technology into the health care system applying complicated methodologies coming from different disciplines. The purpose of HTA is to support decision-makers and these should have an adequate level of training to fully understand these assessments. However, most HTA education programs and courses are intended for HTA doers and there is a lack of practical guidance training aimed at preparing health managers or policy makers in HTA. The objective is to describe an HTA training program developed for decision-makers of the three levels (health care administration, hospital management and clinical practice).MethodsRolling Collaborative Review (RCR) 01 of convalescent plasma was identified and selected because it complied with our Population Intervention Comparator Outcome Design Question. The EUnetHTA HTA adaptation Toolkit was used to check the relevance (about research question); reliability (quality of the report) and transferability (application of information to the target setting). Additional considerations regarding the local context were examined. A panel of four professionals and one patient was formed to rate the importance of the outcomes and to carry out the external reviewResultsAccording to the toolkit, information on RCR01 Convalescent Plasma could be adopted for the safety and effectiveness domains. The technical characteristics and current use domains were adapted and extended. It was considered of interest to include the domains of organization and ethics. The organizational aspects were answered through the information retrieved in a search for systematic reviews and guides, and with the collaboration of experts. The ethics domain was answered through a specific literature search on ethical issues related to COVID-19 and transfusions.ConclusionsThe use of the EUnetHTA Toolkit has been helpful in supporting the adaptation process. The adoption of the effectiveness and safety domains from already developed HTA assessments is an efficient way to provide useful information for the decision-making process. However, contextual elements should be included in the adaptation process to ensure a complete framework for the decision.

Design and evaluation of a collaborative UML modeling environment in virtual reality.

Modeling is a key activity in conceptual design and system design. Through collaborative modeling, end-users, stakeholders, experts, and entrepreneurs are able to create a shared understanding of a system representation. While the Unified Modeling Language (UML) is one of the major conceptual modeling languages in object-oriented software engineering, more and more concerns arise from the modeling quality of UML and its tool-support. Among them, the limitation of the two-dimensional presentation of its notations and lack of natural collaborative modeling tools are reported to be significant. In this paper, we explore the potential of using virtual reality (VR) technology for collaborative UML software design by comparing it with classical collaborative software design using conventional devices (desktop PC/laptop). For this purpose, we have developed a VR modeling environment that offers a natural collaborative modeling experience for UML Class Diagrams. Based on a user study with 24 participants, we have compared collaborative VR modeling with conventional modeling with regard to efficiency, effectiveness, and user satisfaction. Results show that the use of VR has some disadvantages concerning efficiency and effectiveness, but the user's fun, the feeling of being in the same room with a remote collaborator, and the naturalness of collaboration were increased.

Toward Better Food Security Using Concepts from Industry 5.0.

The rapid growth of the world population has increased the food demand as well as the need for assurance of food quality, safety, and sustainability. However, food security can easily be compromised by not only natural hazards but also changes in food preferences, political conflicts, and food frauds. In order to contribute to building a more sustainable food system-digitally visible and processes measurable-within this review, we summarized currently available evidence for various information and communication technologies (ICTs) that can be utilized to support collaborative actions, prevent fraudulent activities, and remotely perform real-time monitoring, which has become essential, especially during the COVID-19 pandemic. The Internet of Everything, 6G, blockchain, artificial intelligence, and digital twin are gaining significant attention in recent years in anticipation of leveraging the creativity of human experts in collaboration with efficient, intelligent, and accurate machines, but with limited consideration in the food supply chain. Therefore, this paper provided a thorough review of the food system by showing how various ICT tools can help sense and quantify the food system and highlighting the key enhancements that Industry 5.0 technologies can bring. The vulnerability of the food system can be effectively mitigated with the utilization of various ICTs depending on not only the nature and severity of crisis but also the specificity of the food supply chain. There are numerous ways of implementing these technologies, and they are continuously evolving.

Embedding-based team formation for community question answering

Finding a qualified individual who can independently answer a question on a community question answering platform is becoming more challenging due to the increasing multidisciplinary nature of posted questions. As such, finding a group of experts to collaboratively answer the questions is of paramount importance. To this end, we propose a novel approach to form teams of experts who can collectively answer new questions. The proposed approach, called team2box, learns neural embedding representations based on the content of the posted questions, experts’ engagement with these questions, and past expert collaboration history in order to form a team to answer the posted question. It embeds experts and questions as points and existing teams as regions within the embedding space. Therefore, team2box forms a team whose members (1) collectively cover the knowledge required to answer a question, (2) have successful past experience in jointly answering similar questions, and (3) can work efficiently together to answer the question. Extensive experiments on real-life datasets from Stack Exchange show that team2box outperforms the state-of-the-art by discovering teams with on average 38.97% more covering the skills required to answer new questions and employing experts with collectively a high expertise level.