Systematic Organization of COVID-19 Data Supported by the Adverse Outcome Pathway Framework.

Adverse Outcome Pathways (AOP) provide structured frameworks for the systematic organization of research data and knowledge. The AOP framework follows a set of key principles that allow for broad application across diverse disciplines related to human health, including toxicology, pharmacology, virology and medical research. The COVID-19 pandemic engages a great number of scientists world-wide and data is increasing with exponential speed.

Learning from the COVID-19 pandemic among migrants: An innovative, system-level, interdisciplinary approach is needed to improve public health.

The effects of the COVID-19 pandemic are amplified among socially vulnerable groups, including international migrants, in terms of both disease transmission and outcomes and the consequences of mitigation measures. Migrants are overrepresented in COVID-19 laboratory-confirmed cases, hospital admissions, intensive care treatment and death statistics in all countries with available data. A syndemic approach has been suggested to understand the excess burden in vulnerable populations.

The qualitative imagination in counseling psychology: Enhancing methodological rigor across methods.

Fifteen years have passed since the publication of a landmark issue of the Journal of Counseling Psychology on qualitative and mixed methods research (Haverkamp et al., 2005), which signaled a methodological shift in counseling psychology and related fields. At the time, qualitative research was certainly less popular in the field and arguably less respected than it is now.

Optimal centrifugal isolating of liposome-protein complexes from human plasma.

In the past few years, characterization of the protein corona (PC) that forms around liposomal systems has gained increasing interest for the development of novel therapeutic and diagnostic technologies. At the crossroads of fast-moving research fields, the interdisciplinarity of protein corona investigations poses challenges for experimental design and reporting. Isolation of liposome-protein complexes from biological fluids has been identified as a fundamental step of the entire workflow of PC characterization but exact specifications for conditions to optimize pelleting remain elusive.

Behind the scenes: Scientific networks driving the operationalization of the Social-Ecological System framework.

The analytical framework of Social-Ecological Systems (SES) has been endorsed worldwide because of its ability to describe the complex feedback relationships between social and ecological subsystems. The framework promotes multidisciplinarity and interdisciplinarity, with the expectation that studies will be carried out through groups and collaborative networks via the application of mixed research methods. In this study, we conducted a systematic review of the scientific literature to understand whether the operationalization of the SES framework has been achieved in this way.

RETRACTED: Network-based response module comprised of gene expression biomarkers predicts response to infliximab at treatment initiation in ulcerative colitis.

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal).

Brainhack: Developing a culture of open, inclusive, community-driven neuroscience.

Brainhack is an innovative meeting format that promotes scientific collaboration and education in an open, inclusive environment. This NeuroView describes the myriad benefits for participants and the research community and how Brainhacks complement conventional formats to augment scientific progress.

Landscape rules predict optimal superhighways for the first peopling of Sahul.

Archaeological data and demographic modelling suggest that the peopling of Sahul required substantial populations, occurred rapidly within a few thousand years and encompassed environments ranging from hyper-arid deserts to temperate uplands and tropical rainforests. How this migration occurred and how humans responded to the physical environments they encountered have, however, remained largely speculative. By constructing a high-resolution digital elevation model for Sahul and coupling it with fine-scale viewshed analysis of landscape prominence, least-cost pedestrian travel modelling and high-performance computing, we create over 125 billion potential migratory pathways, whereby the most parsimonious routes traversed emerge.

Accessible LAMP-Enabled Rapid Test (ALERT) for Detecting SARS-CoV-2.

The coronavirus disease 2019 (COVID-19) pandemic has highlighted bottlenecks in large-scale, frequent testing of populations for infections. Polymerase chain reaction (PCR)-based diagnostic tests are expensive, reliant on centralized labs, can take days to deliver results, and are prone to backlogs and supply shortages. Antigen tests that bind and detect the surface proteins of a virus are rapid and scalable but suffer from high false negative rates.

Involving clinicians in management: assessing views of doctors and nurses on hybrid professionalism in clinical directorates.

Background: Hybrid professionalism is one of the most effective ways to involve clinicians in management practices and responsibilities. With this study we investigated the perceptions of doctors and nurses on hybridization in clinical directorates (CDs) in hospitals.

Methods: We investigated the attitudes of healthcare professionals (doctors and nurses) towards eight hospital CDs in the Local Health Authority (LHA) of Bologna (Emilia Romagna, Italy) 6 years after their implementation.

Bringing Together Robotics, Neuroscience, and Psychology: Lessons Learned From an Interdisciplinary Project.

The diversified methodology and expertise of interdisciplinary research teams provide the opportunity to overcome the limited perspectives of individual disciplines. This is particularly true at the interface of Robotics, Neuroscience, and Psychology as the three fields have quite different perspectives and approaches to offer. Nonetheless, aligning backgrounds and interdisciplinary expectations can present challenges due to varied research cultures and practices.

Digital data sources and methods for conservation culturomics.

Ongoing loss of biological diversity is primarily the result of unsustainable human behavior. Thus, the long-term success of biodiversity conservation depends on a thorough understanding of human-nature interactions. Such interactions are ubiquitous but vary greatly in time and space and are difficult to monitor efficiently at large spatial scales.

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities.

The use of artificial intelligence (AI) in a variety of research fields is speeding up multiple digital revolutions, from shifting paradigms in healthcare, precision medicine and wearable sensing, to public services and education offered to the masses around the world, to future cities made optimally efficient by autonomous driving. When a revolution happens, the consequences are not obvious straight away, and to date, there is no uniformly adapted framework to guide AI research to ensure a sustainable societal transition. To answer this need, here we analyze three key challenges to interdisciplinary AI research, and deliver three broad conclusions: 1) future development of AI should not only impact other scientific domains but should also take inspiration and benefit from other fields of science, 2) AI research must be accompanied by decision explainability, dataset bias transparency as well as development of evaluation methodologies and creation of regulatory agencies to ensure responsibility, and 3) AI education should receive more attention, efforts and innovation from the educational and scientific communities.

Developing Children's Socio-Emotional Competencies Through Drama Pedagogy Training: An Experimental Study on Theory of Mind and Collaborative Behavior.

Drama pedagogy training (DPT) is a drama-based-pedagogy focused on socio-emotional-learning (SEL) development, over academic or artistic. This study aims to see if DPT promotes theory of mind (ToM) and collaborative behavior in 126 French children aged 9-10 years old, randomly assigned to an experimental group (DPT), either a control group for 6 weeks. Post-tests showed large effects of training on ToM, F(1, 124) = 24.

Exploring the Role of Interleukin-6 Receptor Inhibitor Tocilizumab in Patients with Active Rheumatoid Arthritis and Periodontal Disease.

Background: The aim of our study was to explore the influence of weekly subcutaneous administration of interleukin-6 (IL-6) receptor inhibitor tocilizumab (TCZ) on periodontal status in a local longitudinal study of patients with rheumatoid arthritis (RA) and periodontal disease (PD).

Methods: We performed a 6-month prospective study in 51 patients with chronic periodontitis and moderate-to-severe RA starting TCZ in accordance with local recommendations. Extensive rheumatologic (clinical activity, inflammatory, serological biomarkers) and periodontal (visible plaque index, gingival index, bleeding on probing, probing pocket depth, clinical attachment loss) assessments were done.

Structural flexibility in crystalline coordination polymers: a journey along the underlying free energy landscape.

Crystalline coordination polymers are a chemically diverse material platform that provide control over network geometry and chemical interactions, harbouring a wealth of phenomena of large scientific and technological relevance. The underlying structure together with chemical interactions play a crucial role, factors that together determine the underlying free energy surface of a material, i.e.

Education outside the classroom as upstream school health promotion: 'adding-in' physical activity into children's everyday life and settings.

Introduction: It is central for public health to answer questions related to how to change health and wellbeing in populations through interdisciplinarity and health in all policies and sectors. For a school physical activity promotion initiative to be acceptable and thus feasible, the buy-in of teachers is fundamental. Therefore, school physical activity promotion should be integrated into and support teaching activities.

Benefits and Challenges of Interdisciplinarity in CSCL Research: A View From the Literature.

Computer-supported collaborative learning (CSCL) has a history of being interdisciplinary from its conception. Its beginnings have included computer scientists, psychologists, cognitive scientists, and educational researchers. These collaborations have been fruitful but have also posed challenges (Suthers et al.

Proteomic Analysis Uncovers Measles Virus Protein C Interaction With p65-iASPP Protein Complex.

Viruses manipulate the central machineries of host cells to their advantage. They prevent host cell antiviral responses to create a favorable environment for their survival and propagation. Measles virus (MV) encodes two nonstructural proteins MV-V and MV-C known to counteract the host interferon response and to regulate cell death pathways.

Interdisciplinary Online Hackathons as an Approach to Combat the COVID-19 Pandemic: Case Study.

Background: The COVID-19 outbreak has affected the lives of millions of people by causing a dramatic impact on many health care systems and the global economy. This devastating pandemic has brought together communities across the globe to work on this issue in an unprecedented manner.

Objective: This case study describes the steps and methods employed in the conduction of a remote online health hackathon centered on challenges posed by the COVID-19 pandemic.

Uncertainty in and around biophysical modelling: insights from interdisciplinary research on agricultural digitalization.

Agricultural digitalization is providing growing amounts of real-time digital data. Biophysical simulation models can help interpret these data. However, these models are subject to complex uncertainties, which has prompted calls for interdisciplinary research to better understand and communicate modelling uncertainties and their impact on decision-making.

A survival model for course-course interactions in a Massive Open Online Course platform.

Massive Open Online Course (MOOC) platforms incorporate large course catalogs from which individual students may register multiple courses. We performed a network-based analysis of student achievement, considering how course-course interactions may positively or negatively affect student success. Our data set included 378,000 users and 1,000,000 unique registration events in France Université Numérique (FUN), a national MOOC platform.

The importance of interdisciplinarity in accommodating patient needs among norwegian nurses.

What Is Known On The Subject: Previous studies of interdisciplinarity and nursing responsibilities have mainly focused on outcomes such as patient safety, job satisfaction and organizational factors. Mental health nurses often describe role confusion in relation to other health professionals. Opportunities for interdisciplinary communication with other professionals may benefit health care.