Implications of COVID-19 Mitigation Policies for National Well-Being: A Systems Perspective

The ongoing COVID-19 crisis and measures aimed at curbing the pandemic have a widespread impact on various aspects of well-being, such as housing, social connections, and others. Moreover, COVID-19 does not affect all population groups equally. This study analyzes the impact of major COVID-19 non-pharmaceutical interventions (NPIs) on a set of national well-being indicators from the most recent version of the OECD Well-Being Framework. Using causal loop diagrams (systems maps), we consider direct and indirect effects of these policies on various components of the national well-being system. Our results show that business closures directly and/or indirectly impact more national well-being components than any other policy. The most affected national well-being components by all policies are life satisfaction, perceived health, and prevalence of depressive symptoms. In addition, we specify how the impact of the anti-pandemic measures differs for various population strata, using the degree of income and employment loss as key stratifying variables. Our insights can be helpful to identify and promote measures that can alleviate the adverse effects of the COVID-19 crisis on the national well-being.

The UK Industrial Decarbonisation Strategy Revisited

In the period since 2010 successive UK Governments have produced various decarbonisation strategies for industry. This article scrutinises the most recent version that was published in March 2021: the Industrial Decarbonisation Strategy (IDS). It contrasts the policy content of the IDS with previous industrial roadmaps, action plans and strategies (including the Clean Growth Strategy of 2017). In addition, it compares the proposals in the IDS with the latest recommendations of the UK Government's independent Climate Change Committee, as well as drawing on lessons learned from the techno-economic assessments published by the author and his collaborators for a number of key ‘Foundation Industries’. The latter emit significant shares of UK industrial carbon dioxide (CO2) emissions: the iron and steel (∼25%), chemicals (∼19%), cement (∼8%), pulp and paper (∼6%), and glass (∼3%) sectors. They also produce some 28 million tonnes of materials per year, which are worth £52 billion to the UK economy, and account for ∼10% of UK total CO2 emissions.

EPOS 4 Patients

EPOS2020 is the 4th and most recent version of the European Position Paper on Rhinosinusitis and Nasal Polyps which was first published in 2005. It aims to provide the most up to date scientifically robust information on the topic published in the literature which has been critically analysed by an international group of clinicians drawn from all disciplines dealing with these problems together with patients. The guidelines offer evidence-based recommendations and care pathways for acute and chronic rhinosinusitis in both adults and children. Management of these diseases from the patients' perspective is an important part of EPOS2020. Not only is this included in the main document but, for the first time, we have produced a separate supplement dedicated to and in collaboration with patients, EPOS4Patients, which aims to provide information in an accessible format, to answer frequently asked questions about these diseases and their treatment options as well as including useful patient resources and websites. It has never been more important for patients to be actively involved in their care. Being well informed helps you to make the best decisions together with your doctor.

Players' Stories and Secrets in Animal Crossing

Animal Crossing is an online multiplayer game that supports social communication and collaboration. Its recent version, New Horizons, is immensely popular having sold over 32 million copies worldwide, with many players attracted to the opportunities it provides to remotely socialize during the COVID-19 pandemic. To understand players' increased positive emotions and social interactions, we surveyed 119 of them betweenMay and December 2020 and conducted remote interviews with 25 respondents. We identified the social dynamics among players and with non-player characters (NPCs), and analyzed how positive social interactions were facilitated under player-generated narratives and game-determined narratives. Based on our empirical analyses, we have extended our understanding of how to create positive, safe, and friendly interactions: (1)the design of mood-improving game worlds with flexible game tasks, (2) implementation of game-determined activities with social implications, (3) provision of player rewards to reinforce their social interactions, and (4)creation of opportunities to integrate NPCs' game-determined narratives into player-generated narratives.

“I Saw a Different Life. I Can't Stop Seeing It”: Perfectionist Visions in Revolutionary Road

In this article, I claim that Sam Mendes’ Revolutionary Road (2008) is a recent version of the film genre that Stanley Cavell calls the “melodrama of the unknown woman”. Accordingly, my discussion focuses on two key elements of that identification: the film's overriding dramatic and thematic emphasis on conversation, and the central characters’ relation to the wider social and political concerns of America.

Predicting Transmembrane (TM) Domain Dimer Structures using Martini 3

Determination of the structure and dynamics of transmembrane (TM) domains of single-transmembrane receptors is key to understanding their mechanism of signal transduction across the plasma membrane. Although many studies have been performed on isolated soluble extra- and intracellular receptor domains in aqueous solutions, limited knowledge exists on the lipid embedded TM region. In this study, we predict the assembly of alternate configurations of receptor TM domain dimers using the Martini 3 force field for coarse-grain (CG) molecular dynamic simulations. This recent version of Martini has new bead types and sizes, which allows more accurate predictions of molecular packing and interactions compared to the previous version. Our results with Martini 3 simulations show overall good agreement with ab initio predictions using PREDDIMER and with available NMR derived structures for TM helix dimers. Understanding and predicting the association TM domains may help us to better understand the signalling mechanism of TM receptors, in turn providing the opportunity for development of new pharmaceuticals, some of which are peptide based.

The Rich Still Get Richer: Empirical Comparison of Preferential Attachment via Linking Statistics in Bitcoin and Ethereum

Bitcoin and Ethereum transactions present some of the largest real-world complex networks that are publicly available for study, including a detailed picture of their time evolution. As such, they have received a considerable amount of attention from the network science community along with analyses from economic and cryptographic perspectives. Among these studies, in an analysis on the early instance of the Bitcoin network, we have shown the clear presence of the preferential attachment, or the “rich-get-richer” phenomenon. Now, we revisit this question, using a recent version of the Bitcoin network that has grown almost 100-fold since our original analysis. Furthermore, we additionally carry out a comparison with Ethereum, the second most important cryptocurrency. Our results show that preferential attachment continues to be a key factor in the evolution of both the Bitcoin and Ethereum transactoin networks. To facilitate further analysis, we publish a recent version of both transaction networks, and an efficient software implementation that is able to evaluate linking statistics necessary for learn about preferential attachment on networks with several hundred million edges.

SMOG 2 and OpenSMOG: Extending the limits of structure-based models

Applying simulations with structure-based (Go-like) models has proven to be an effective strategy for investigating the factors that control biomolecular dynamics. The common element of these models is that some (or all) of the intra/inter-molecular interactions are explicitly defined to stabilize an experimentally-determined structure. To facilitate the development and application of this broad class of models, we previously released the SMOG 2 software package. This suite allows one to easily customize and distribute structure-based (i.e. SMOG) models for any type of polymer-ligand system. Since its original release, user feedback has driven the implementation of numerous enhancements. Here, we describe recent extensions to the software and demonstrate the capabilities of the most recent version, SMOG v2.4. Changes include new tools that aid user-defined customization of force fields, as well as an interface with the OpenMM simulation libraries (OpenSMOG v1.0). To illustrate the utility of these advances, we present several applications of SMOG2 and OpenSMOG, which include systems with millions of atoms, long polymers and explicit ions. We also highlight how one can incorporate non-structure-based (e.g. AMBER-based) energetics to define a hybrid class of models. The representative applications include large-scale rearrangements of the SARS-CoV-2 Spike protein, the HIV-1 capsid in the presence of explicit ions, and crystallographic lattices of ribosomes and proteins. In summary, SMOG 2 and OpenSMOG provide robust support for researchers who seek to apply structure-based models to large and/or intricate biomolecular systems.

Excoriation Disorder

Excoriation disorder, which is characterized by recurrent and impairing skin picking, has been included as a distinct diagnosis in the most recent version of the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders (DSM-5). The move to include excoriation disorder as a separate diagnosis in the DSM-5 was largely due to increasing awareness of its prevalence and the potential for significant impairment and distress. This chapter discusses the nature, clinical presentation, and potential etiological determinants of excoriation disorder. In addition to the nature of symptoms, contemporary approaches to assessment and treatment, including behavioral and pharmacological, are highlighted. The chapter concludes with a discussion of future directions for research.

The 2021 update of the EPA’s adverse outcome pathway database

The EPA developed the Adverse Outcome Pathway Database (AOP-DB) to better characterize adverse outcomes of toxicological interest that are relevant to human health and the environment. Here we present the most recent version of the EPA Adverse Outcome Pathway Database (AOP-DB), version 2. AOP-DB v.2 introduces several substantial updates, which include automated data pulls from the AOP-Wiki 2.0, the integration of tissue-gene network data, and human AOP-gene data by population, semantic mapping and SPARQL endpoint creation, in addition to the presentation of the first publicly available AOP-DB web user interface. Potential users of the data may investigate specific molecular targets of an AOP, the relation of those gene/protein targets to other AOPs, cross-species, pathway, or disease-AOP relationships, or frequencies of AOP-related functional variants in particular populations, for example. Version updates described herein help inform new testable hypotheses about the etiology and mechanisms underlying adverse outcomes of environmental and toxicological concern.