48 research outputs found

    COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

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    This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey - an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available.Measurement(s) psychological measurement center dot anxiety-related behavior trait center dot Stress center dot response to center dot Isolation center dot loneliness measurement center dot Emotional Distress Technology Type(s) Survey Factor Type(s) geographic location center dot language center dot age of participant center dot responses to the Coronavirus pandemic Sample Characteristic - Organism Homo sapiens Sample Characteristic - Location global Machine-accessible metadata file describing the reported data:Peer reviewe

    Stress and worry in the 2020 coronavirus pandemic : relationships to trust and compliance with preventive measures across 48 countries in the COVIDiSTRESS global survey

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    The COVIDiSTRESS global survey collects data on early human responses to the 2020 COVID-19 pandemic from 173 429 respondents in 48 countries. The open science study was co-designed by an international consortium of researchers to investigate how psychological responses differ across countries and cultures, and how this has impacted behaviour, coping and trust in government efforts to slow the spread of the virus. Starting in March 2020, COVIDiSTRESS leveraged the convenience of unpaid online recruitment to generate public data. The objective of the present analysis is to understand relationships between psychological responses in the early months of global coronavirus restrictions and help understand how different government measures succeed or fail in changing public behaviour. There were variations between and within countries. Although Western Europeans registered as more concerned over COVID-19, more stressed, and having slightly more trust in the governments' efforts, there was no clear geographical pattern in compliance with behavioural measures. Detailed plots illustrating between-countries differences are provided. Using both traditional and Bayesian analyses, we found that individuals who worried about getting sick worked harder to protect themselves and others. However, concern about the coronavirus itself did not account for all of the variances in experienced stress during the early months of COVID-19 restrictions. More alarmingly, such stress was associated with less compliance. Further, those most concerned over the coronavirus trusted in government measures primarily where policies were strict. While concern over a disease is a source of mental distress, other factors including strictness of protective measures, social support and personal lockdown conditions must also be taken into consideration to fully appreciate the psychological impact of COVID-19 and to understand why some people fail to follow behavioural guidelines intended to protect themselves and others from infection. The Stage 1 manuscript associated with this submission received in-principle acceptance (IPA) on 18 May 2020. Following IPA, the accepted Stage 1 version of the manuscript was preregistered on the Open Science Framework at https://osf.io/g2t3b. This preregistration was performed prior to data analysis.Peer reviewe

    Stress and worry in the 2020 coronavirus pandemic: Relationships to trust and compliance with preventive measures across 48 countries in the COVIDiSTRESS global survey

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    The COVIDiSTRESS global survey collects data on early human responses to the 2020 COVID-19 pandemic from 173 429 respondents in 48 countries. The open science study was co-designed by an international consortium of researchers to investigate how psychological responses differ across countries and cultures, and how this has impacted behaviour, coping and trust in government efforts to slow the spread of the virus. Starting in March 2020, COVIDiSTRESS leveraged the convenience of unpaid online recruitment to generate public data. The objective of the present analysis is to understand relationships between psychological responses in the early months of global coronavirus restrictions and help understand how different government measures succeed or fail in changing public behaviour. There were variations between and within countries. Although Western Europeans registered as more concerned over COVID-19, more stressed, and having slightly more trust in the governments' efforts, there was no clear geographical pattern in compliance with behavioural measures. Detailed plots illustrating between-countries differences are provided. Using both traditional and Bayesian analyses, we found that individuals who worried about getting sick worked harder to protect themselves and others. However, concern about the coronavirus itself did not account for all of the variances in experienced stress during the early months of COVID-19 restrictions. More alarmingly, such stress was associated with less compliance. Further, those most concerned over the coronavirus trusted in government measures primarily where policies were strict. While concern over a disease is a source of mental distress, other factors including strictness of protective measures, social support and personal lockdown conditions must also be taken into consideration to fully appreciate the psychological impact of COVID-19 and to understand why some people fail to follow behavioural guidelines intended to protect themselves and others from infection. The Stage 1 manuscript associated with this submission received in-principle acceptance (IPA) on 18 May 2020. Following IPA, the accepted Stage 1 version of the manuscript was preregistered on the Open Science Framework at https://osf.io/g2t3b. This preregistration was performed prior to data analysis

    Pasture utilization in the East Planning Region in Republic of Macedonia and the necessity for determination of their grass composition

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    East Planning region is established by the Low of Equal Regional Development. It is composed of 11 municipalities and spreads over 3537 km2. There are 217 populated areas out of which 209 are characterized as rural settlements. According to the data by PE of Pasture management gross area under pastures in this Planning region is at level of 86,050 ha, on which 167,958 animals are grazing. Of this figure 25,415 (15,14%) are cattle and 142,513 (84,86%) sheep and goats. Based upon data by National Bureau of Statistics, pasture utilization by cattle is 0.29 animals per ha, and 1.65 heads per ha of sheep and goats. The Rule book on Organic animal husbandry determines the highest allowed number of animals per ha and that number is 2 and 13,3 heads per ha of cattle and sheep and goat respectively. Hence the conclusion on the possibilities of achieving sustainable development in Organic animal husbandry without jeopardizing current pastures conditions. Despite general conclusion the conditions at municipality lever differs significantly as in municipalities of Karbintzi, Cheshinovo-Obleshevo and Zrnovtzi pasture utilization is above determined level. Having no official records on pastures’ grass composition if uncontrolled grazing comes into place, possible violation of bio balance could occur which could lead to loss of sustainable development of animal husbandry, vegetation loss and other pasture degradation process (erosion, soil loss, emergence of unspecific vegetation). In order to prevent region’s biodiversity loss it is imminent to conduct determination of pasture’s grass composition which will lead to determination of species, pasture capacity and grass energy value

    Biodiversity in the Republic of Macedonia

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    Status and trends of biodiversity components in Republic of Macedonia are presented in this article. The monitoring of biodiversity components is conducted according to the criteria of SEBI 2010 (Streamlining European 2010 Biodiversity Indicators) for establishment of consistency at global, regional, EU and national indicator level. Two core segments of the Biodiversity Strategy and Action Plan of Republic of Macedonia are presented as well as the draft list of biodiversity indicators. Ecosystems and biotopes (presented with plant communities) are explained from which 30 Corine habitat classes are identified for the Republic of Macedonia. The number of endemic and endangered species from different taxonomic groups of vascular plants, fungi, fauna, and Emerald species with European importance are presented. Agro-biodiversity, structure of agriculture land, autochtonic breeds of domestic animals as well as the network of protected areas in Republic of Macedonia are presented. At the end conclusion remarks are given for future necessary activities at national and international level regarding monitoring and conservation of the biodiversity

    HISTONE DEACETYLASE6 Controls Gene Expression Patterning and DNA Methylation-Independent Euchromatic Silencing

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    To investigate the role of chromatin regulators in patterning gene expression, we employed a unique epigenetically controlled and highly tissue-specific green fluorescent protein reporter line in Arabidopsis (Arabidopsis thaliana). Using a combination of forward and reverse genetic approaches on this line, we show here that distinct epigenetic regulators are involved in silencing the transgene in different tissues. The forward genetic screen led to the identification of a novel HISTONE DEACETYLASE6 (HDA6) mutant allele (epigenetic control1, hda6-8). This allele differs from the previously reported alleles, as it did not affect DNA methylation and only had a very modest effect on the release of transposable elements and other heterochromatic transcripts. Overall, our data shows that HDA6 has at least two clearly separable activities in different genomic regions. In addition, we present an unexpected role for HDA6 in the control of DNA methylation at CG dinucleotides

    Metadata record for: COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

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    This dataset contains key characteristics about the data described in the Data Descriptor COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak. Contents: 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON forma

    Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

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    International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/cc charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1±0.6\pm0.6% and 84.1±0.6\pm0.6%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation
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