Ageing societies and the first and second waves of the COVID-19 pandemic – Statements of the European Geriatric Medicine Society and measures of the Hungarian Government concerning older people

Purpose Ageing of the societies is a demographic phenomenon in the developed world. SARS-CoV-2 is a novel human coronavirus responsible for a pandemic of coronavirus disease 2019 (COVID-19). World Health Organization (WHO) data demonstrated that the first two waves of the pandemic had the most severe impact on older people and that is why new guidelines and protocols were necessary in geriatric medicine to protect senior citizens. Materials and methods In our publication, we summarise the three statements of EuGMS concerning the first and second waves of COVID-19 pandemic in Europe. Besides following the European recommendations, a proper local response was necessary in each country. Results The Hungarian Government has successfully completed the necessary measures during the first two waves, which are summarised in our publication. Those measures took into consideration not only the international guidelines, but the capacities of the healthcare system, as well as the sociodemographic and economic characteristics of the country. Conclusions Successful local defence against COVID-19 required adequate and optimised interpretation of the international guidelines to save the life of thousands of older adults in Hungary.

Do Cross-Latitude and Local Studies Give Similar Predictions of Phytoplankton Responses to Warming? An Analysis of Monitoring Data from 504 Danish Lakes

Cross-latitude studies on lakes have a potential to predict how global warming may cause major changes in phytoplankton biomass and composition, e.g., the development of favourable conditions for cyanobacteria dominance. However, results from these studies may be influenced by biogeographical factors, and the conclusions may, therefore, not hold when considering local response patterns. We used monthly monitoring data from 504 lakes in Denmark—a small and homogeneous geographical region—to establish empirical relationships between key phytoplankton groups and a set of explanatory variables including total phosphorus (TP), total nitrogen (TN), lake mean depth (DEP) and water temperature (TEMP). All variables had strong effects on phytoplankton biomass and composition, but their contributions varied over the seasons, with TEMP being particularly important in June–October. We found dominance of cyanobacteria in terms of biomass and also an increase in dinophytes biomass at higher TEMP, while diatoms and chlorophytes became less important. In May, however, the TEMP effect on total phytoplankton biomass was negative, likely reflecting intensified zooplankton grazing. Our results suggest that biogeographical effects are of minor importance for the response patterns of phytoplankton to temperature and that substantial concentration reductions of TN and TP are needed in eutrophic lakes to counteract the effect of the climate change-induced increase in TEMP.

The Case of the United Kingdom

This article explores the determinants of local resilience in the form of local COVID-19 mutual aid groups. These groups were formed to offer mutual help to those who had experienced a loss of social quality. We test a series of hypotheses, considering which conditional factors are most connected to the formation of these groups, particularly focusing on those that influenced the earliest and most resilient local response to the pandemic. The presence of radical environmentalist activists is a better predictor of resilient community responsiveness than either the activity of the local state or the activity of more moderate community-based environmental civil society organizations. Conclusions are presented on the implications of these findings for the future of localism, social quality, and public policy in the United Kingdom.

A valley of opportunities

After nearly two decades of graphene research, condensed-matter physicists Luis Foá Torres and Sergio O Valenzuela delve into the ongoing mystery of the material’s perplexing non-local response and the “valley Hall effect”

Closing the Frontier, Opening Doors

In this article I examine a recent communal cocoa planting project in a Wide Bay Mengen community in East Pomio, Papua New Guinea in relation to histories of resource extraction. I discuss how the community members modeled the current planting of cocoa in accordance with earlier forms of agriculture, namely copra production and swidden horticulture. The cocoa planting project is linked to a longer history of labour and resource extraction in Pomio. I analyze the cycles of labour recruitment, logging, and oil palm expansion through the framework of the frontier, by which I mean a spatio-temporal process through which certain areas are portrayed as having abundant resources, which are made available for extraction. The cocoa planting project was a local response to these conditions and intended to be a source of income based on inalienated labour and local landholding and a spatial strategy of establishing points of access to other places, called 'doors' by the community members. My aim in this article is twofold. First, I argue that the frontier understood as a spatio-temporal process helps us to conceptualize cycles of resource extraction. Second, I show how people living in areas understood as frontiers form their own analyses and responses to the conditions under which their land, labour, and resources are made available to others. Keywords: cocoa, commodification, frontier, infrastructure, natural resources, oil palm, Papua New Guinea, place, territorialization

Correspondence between Site Amplification and Topographical, Geological Parameters: Collation of Data from Swiss and Japanese Stations, and Neural Networks-Based Prediction of Local Response

ABSTRACT We address the relation between seismic local amplification and topographical and geological indicators describing the site morphology. We focus on parameters that can be derived from layers of diffuse information (e.g., digital elevation models, geological maps) and do not require in situ surveys; we term these parameters as “indirect” proxies, as opposed to “direct” indicators (e.g., f0, VS30) derived from field measurements. We first compiled an extensive database of indirect parameters covering 142 and 637 instrumented sites in Switzerland and Japan, respectively; we collected topographical indicators at various spatial extents and focused on shared features in the geological descriptions of the two countries. We paired this proxy database with a companion dataset of site amplification factors at 10 frequencies within 0.5–20 Hz, empirically measured at the same Swiss and Japanese stations. We then assessed the robustness of the correlation between individual site-condition indicators and local response by means of statistical analyses; we also compared the proxy-site amplification relations at Swiss versus Japanese sites. Finally, we tested the prediction of site amplification by feeding ensembles of indirect parameters to a neural network (NN) structure. The main results are: (1) indirect indicators show higher correlation with site amplification in the low-frequency range (0.5–3.33 Hz); (2) topographical parameters primarily relate to local response not because of topographical amplification effects but because topographical features correspond to the properties of the subsurface, hence to stratigraphic amplification; (3) large-scale topographical indicators relate to low-frequency response, smaller-scale to higher-frequency response; (4) site amplification versus indirect proxy relations show a more marked regional variability when compared with direct indicators; and (5) the NN-based prediction of site response is the best achieved in the 1.67–5 Hz band, with both geological and topographical proxies provided as input; topographical indicators alone perform better than geological parameters.

Solvent-structured PEDOT:PSS surfaces: fabrication strategies and nanoscale properties

We present the preparation of nanostructured conducting PEDOT:PSS thin films by solvent vapor annealing (SVA), using the low boiling point solvent tetrahydrofuran (THF). An Atomic Force Microscopy (AFM) study allowed the observation of distinct nanostructure development as a function of solvent exposure time. Moreover, the nanostructures’ physical properties were evaluated by nanomechanical, nanoelectrical, and nano-FTIR measurements. In this way, we were able to differentiate the local response of the developed phases and to identify their chemical nature. The combination of these techniques allowed to demonstrate that exposure to THF is a facile method to effectively and selectively modify the surface nanostructure of PEDOT:PSS, and thereafter its final properties. Moreover, our nanoscale studies provided evidence about the molecular rearrangements that PEDOT:PSS suffers during nanostructure fabrication, a fundamental fact in order to expand the potential applications of this polymer in thermoelectric and optoelectronic devices.

Entropy-based metrics for predicting choice behavior based on local response to reward

For decades, behavioral scientists have used the matching law to quantify how animals distribute their choices between multiple options in response to reinforcement they receive. More recently, many reinforcement learning (RL) models have been developed to explain choice by integrating reward feedback over time. Despite reasonable success of RL models in capturing choice on a trial-by-trial basis, these models cannot capture variability in matching behavior. To address this, we developed metrics based on information theory and applied them to choice data from dynamic learning tasks in mice and monkeys. We found that a single entropy-based metric can explain 50% and 41% of variance in matching in mice and monkeys, respectively. We then used limitations of existing RL models in capturing entropy-based metrics to construct more accurate models of choice. Together, our entropy-based metrics provide a model-free tool to predict adaptive choice behavior and reveal underlying neural mechanisms.