scholarly journals Ritual, Identity Fusion, and the Inauguration of President Trump: A pseudo-experiment of Ritual Modes theory

2018 ◽  
Author(s):  
Rohan Kapitány ◽  
Christopher Michael Kavanagh ◽  
Michael Buhrmester ◽  
Martha Newson ◽  
Harvey Whitehouse
Keyword(s):  
Large Scale ◽  
Emotional Responses ◽  
Open Science ◽  
Social Identities ◽  
Self Reflection ◽  
The Us ◽  
Identity Fusion ◽  
Science Framework ◽  
Fusion Theory ◽  
Diverse Groups

The US Presidential Inauguration is a symbolic event which arouses significant emotional responses among diverse groups, and is of considerable significance to Americans’ personal and social identities. We argue that the inauguration qualifies as an Imagistic Ritual (Whitehouse, 2004). Such ritual experiences are thought to produce identity fusion: a visceral sense of oneness with the group. The 2017 Inauguration of President Trump was a unique opportunity to examine how a large-scale naturalistic imagistic ritual influences the social identities of Americans who supported and opposed President Trump. We conducted a pre-registered 7-week longitudinal investigation among an online sample of Americans in order to examine how President Trump’s Inauguration influenced identity fusion. One core prediction was that the affective responses to the inauguration would predict positive changes in fusion, mediated by self-reflection. We did not find support for this. However, the inauguration was associated with flashbulb-like memories, and positive emotional response at the time of the event predicted changes in fusion to both ingroup and outgroup targets. Finally, both positive and negative emotional responses inspired self-reflection, but did not mediate the relationship with fusion. We discuss the implications of our findings for models linking group psychology, fusion theory, and ritual modes. All material available at the Open Science Framework: https://bit.ly/2Qu0G37.

scholarly journals Genetic and Transcriptomic Biomarkers in Neurodegenerative Diseases: Current Situation and the Road Ahead

Cells ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1030
Author(s):  
Julie Lake ◽  
Catherine S. Storm ◽  
Mary B. Makarious ◽  
Sara Bandres-Ciga
Keyword(s):  
Neurodegenerative Diseases ◽  
Large Scale ◽  
Disease Diagnosis ◽  
Open Science ◽  
Future Directions ◽  
The Road ◽  
Current State ◽  
Molecular Complexity ◽  
Science Framework ◽  
Lateral Sclerosis

Neurodegenerative diseases are etiologically and clinically heterogeneous conditions, often reflecting a spectrum of disease rather than well-defined disorders. The underlying molecular complexity of these diseases has made the discovery and validation of useful biomarkers challenging. The search of characteristic genetic and transcriptomic indicators for preclinical disease diagnosis, prognosis, or subtyping is an area of ongoing effort and interest. The next generation of biomarker studies holds promise by implementing meaningful longitudinal and multi-modal approaches in large scale biobank and healthcare system scale datasets. This work will only be possible in an open science framework. This review summarizes the current state of genetic and transcriptomic biomarkers in Parkinson’s disease, Alzheimer’s disease, and amyotrophic lateral sclerosis, providing a comprehensive landscape of recent literature and future directions.

scholarly journals Presence-only and Presence-absence Data for Comparing Species Distribution Modeling Methods

2020 ◽  
Vol 15 (2) ◽  
pp. 69-80
Author(s):  
Jane Elith ◽  
Catherine Graham ◽  
Roozbeh Valavi ◽  
Meinrad Abegg ◽  
Caroline Bruce ◽  
...  
Keyword(s):  
Species Distribution ◽  
Large Scale ◽  
R Package ◽  
Open Science ◽  
Species Occurrence ◽  
Distribution Models ◽  
Algorithm Performance ◽  
Modeling Methods ◽  
Science Framework ◽  
Occurrence Records

Species distribution models (SDMs) are widely used to predict and study distributions of species. Many different modeling methods and associated algorithms are used and continue to emerge. It is important to understand how different approaches perform, particularly when applied to species occurrence records that were not gathered in struc­tured surveys (e.g. opportunistic records). This need motivated a large-scale, collaborative effort, published in 2006, that aimed to create objective comparisons of algorithm performance. As a benchmark, and to facilitate future comparisons of approaches, here we publish that dataset: point location records for 226 anonymized species from six regions of the world, with accompanying predictor variables in raster (grid) and point formats. A particularly interesting characteristic of this dataset is that independent presence-absence survey data are available for evaluation alongside the presence-only species occurrence data intended for modeling. The dataset is available on Open Science Framework and as an R package and can be used as a benchmark for modeling approaches and for testing new ways to evaluate the accuracy of SDMs.

scholarly journals Attention control: The missing link between sensory discrimination and intelligence

2020 ◽  
Author(s):  
Jason S. Tsukahara ◽  
Tyler L. Harrison ◽  
Christopher Draheim ◽  
Jessie Martin ◽  
Randall W Engle
Keyword(s):  
Cognitive Abilities ◽  
Structural Equation ◽  
Large Scale ◽  
Intelligence Testing ◽  
Working Memory Capacity ◽  
Open Science ◽  
Attention Control ◽  
Sensory Discrimination ◽  
Modelling Studies ◽  
Science Framework

Intelligence is correlated with the ability to make fine sensory discriminations. Although this relationship has been known since the beginning of intelligence testing, the mechanisms underlying this relationship are still unknown. In two large-scale structural equation modelling studies, we investigated whether individual differences in attention control abilities can explain the relationship between sensory discrimination and intelligence. Across the two studies, we replicated the finding that attention control fully mediated the relationships of intelligence/working memory capacity to sensory discrimination. Our findings show that attention control plays a prominent role in relating sensory discrimination to higher-order cognitive abilities. [Data, analysis scripts, and results output are available via the Open Science Framework: https://osf.io/hsqru/]

scholarly journals Longform recordings of everyday life: Ethics for best practices

2019 ◽  
Author(s):  
Meg Cychosz ◽  
Rachel R Romeo ◽  
Melanie Soderstrom ◽  
Camila Scaff ◽  
Hillary Ganek ◽  
...  
Keyword(s):  
Social Interactions ◽  
Data Storage ◽  
Large Scale ◽  
Open Science ◽  
Ethical Guidelines ◽  
Large Scale Data ◽  
Audio Recordings ◽  
Audio Data ◽  
Science Framework ◽  
Scale Data

Recent advances in large-scale data storage and processing offer unprecedented opportunities for behavioral scientists to collect and analyze naturalistic data, including from under-represented groups. Audio data, particularly real-world audio recordings, are of particular interest to behavioral scientists because they provide high-fidelity access to subtle aspects of daily life and social interactions. However, these methodological advances pose novel risks to research participants and communities. In this article, we outline the benefits and challenges associated with collecting, analyzing, and sharing multi-hour audio recording data. Guided by the principles of autonomy, privacy, beneficence, and justice, we propose a set of ethical guidelines for the use of longform audio recordings in behavioral research. This article is also accompanied by an Open Science Framework Ethics Repository that includes informed consent resources such as frequent participant concerns and sample consent forms.

Publikasi Akademik Sepanjang 2019

2019 ◽  
Author(s):  
Adib Rifqi Setiawan
Keyword(s):  
Open Science ◽  
Research Papers ◽  
Science Framework

Berikut ini beberapa publikasi saya pada 2019 ini. Penting atau tidak, saya menganggap bahwa publikasi hanyalah efek samping riset. Di luar publikasi ini, saya juga masih aktif sebagai penulis media daring, seperti Qureta.com, Selasar.com, dan SantriMilenial.net serta mengunggah beberapa artikel preprint melalui layanan Open Science Framework (OSF), EdArxiv.org, dan Research Papers in Economics (RePEc).

Exploring the role of identity fusion and group identification in predicting parochialism amongst Indonesian Islamic groups

2019 ◽  
Author(s):  
Christopher Michael Kavanagh ◽  
Susilo Wibisono ◽  
Rohan Kapitány ◽  
Whinda Yustisia ◽  
Idhamsyah Eka Putra ◽  
...  
Keyword(s):  
Group Identification ◽  
Control Sample ◽  
Theoretical Models ◽  
Religious Groups ◽  
Diverse Range ◽  
Beliefs And Practices ◽  
Identity Fusion ◽  
Beliefs And Practice ◽  
Fusion Theory

Indonesia is the most populous Islamic country and as such is host to a diverse range of Islamic beliefs and practices. Here we examine how the diversity of beliefs and practices among Indonesian Muslims relates to group bonding and parochialism. In particular, we examine the predictive power of two distinct types of group alignment, group identification and identity fusion, among individuals from three Sunni politico-religious groups - a fundamentalist group (PKS), a moderate group (NU), and a control sample of politically unaffiliated citizens. Fundamentalists were more fused to targets than moderates or citizens, but contrary to fusion theory, we found across all groups, that group identification (not fusion) better predicted parochialism, including willingness to carry out extreme pro-group actions. We discuss how religious beliefs and practice impact parochial attitudes, as well as the implications for theoretical models linking fusion to extreme behaviour.

scholarly journals Analysis of 220 Years of Floodplain Population Dynamics in the US at Different Spatial Scales

Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 141
Author(s):  
Firoza Akhter ◽  
Maurizio Mazzoleni ◽  
Luigia Brandimarte
Keyword(s):  
Population Dynamics ◽  
Large Scale ◽  
Spatial Scales ◽  
National Level ◽  
State Level ◽  
Economic Activities ◽  
Protection Measures ◽  
Management Planning ◽  
The Us ◽  
Over Time

In this study, we explore the long-term trends of floodplain population dynamics at different spatial scales in the contiguous United States (U.S.). We exploit different types of datasets from 1790–2010—i.e., decadal spatial distribution for the population density in the US, global floodplains dataset, large-scale data of flood occurrence and damage, and structural and nonstructural flood protection measures for the US. At the national level, we found that the population initially settled down within the floodplains and then spread across its territory over time. At the state level, we observed that flood damages and national protection measures might have contributed to a learning effect, which in turn, shaped the floodplain population dynamics over time. Finally, at the county level, other socio-economic factors such as local flood insurances, economic activities, and socio-political context may predominantly influence the dynamics. Our study shows that different influencing factors affect floodplain population dynamics at different spatial scales. These facts are crucial for a reliable development and implementation of flood risk management planning.

scholarly journals Published patterns of spin in biomedical literature: a protocol for a meta-research study

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e043784
Author(s):  
Naichuan Su ◽  
Michiel van der Linden ◽  
Geert JMG van der Heijden ◽  
Stefan Listl ◽  
Stefan Schandelmaier ◽  
...  
Keyword(s):  
Systematic Reviews ◽  
Scientific Journal ◽  
Open Science ◽  
Biomedical Literature ◽  
Measurement Tool ◽  
Delphi Consensus ◽  
Reporting Practices ◽  
Literature Reviews ◽  
Science Framework ◽  
Meta Analyses

IntroductionSpin is defined as reporting practices that distort the interpretation of results and create misleading conclusions by suggesting more favourable results. Such unjustifiable and misleading misrepresentation may negatively influence the development of further studies, clinical practice and healthcare policies. Spin manifests in various patterns in different sections of publications (titles, abstracts and main texts). The primary aim of this study is to identify reported spin patterns and assess the prevalence of spin in general, and the prevalence of spin patterns reported in biomedical literature based on previously published systematic reviews and literature reviews on spin.Methods and analysisPubMed, EMBASE and SCOPUS will be searched to identify systematic or literature reviews on spin in biomedicine. To improve the comprehensiveness of the search, the snowballing method will be used to broaden the search. The data on spin-related outcomes and characteristics of the included studies will be extracted. The methodological quality of the included studies will be assessed with selective items of the A MeaSurement Tool to Assess systematic Reviews-2 checklist. A new classification scheme for spin patterns will be developed if the classifications of spin patterns identified in the included studies vary. The prevalence of spin and spin patterns will be pooled based on meta-analyses if the classification schemes for spin are comparable across included studies. Otherwise, the prevalence will be described qualitatively. The seriousness of spin patterns will be assessed based on a Delphi consensus study.Ethics and disseminationThis study has been approved by the Academic Centre for Dentistry Amsterdam Ethics Review Committee (2020250). The study will be submitted to a peer-reviewed scientific journal.RegistrationOpen Science Framework: osf.io/hzv6e

scholarly journals Cities Exacerbate Climate Warming

Urban Science ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 27
Author(s):  
Lahouari Bounoua ◽  
Kurtis Thome ◽  
Joseph Nigro
Keyword(s):  
Surface Temperature ◽  
Land Surface ◽  
Large Scale ◽  
Climate Models ◽  
Warming Trend ◽  
Climate Mitigation ◽  
Temperature Changes ◽  
Surface Warming ◽  
The Us

Urbanization is a complex land transformation not explicitly resolved within large-scale climate models. Long-term timeseries of high-resolution satellite data are essential to characterize urbanization within land surface models and to assess its contribution to surface temperature changes. The potential for additional surface warming from urbanization-induced land use change is investigated and decoupled from that due to change in climate over the continental US using a decadal timescale. We show that, aggregated over the US, the summer mean urban-induced surface temperature increased by 0.15 °C, with a warming of 0.24 °C in cities built in vegetated areas and a cooling of 0.25 °C in cities built in non-vegetated arid areas. This temperature change is comparable in magnitude to the 0.13 °C/decade global warming trend observed over the last 50 years caused by increased CO2. We also show that the effect of urban-induced change on surface temperature is felt above and beyond that of the CO2 effect. Our results suggest that climate mitigation policies must consider urbanization feedback to put a limit on the worldwide mean temperature increase.

scholarly journals Solar Thermochemical Hydrogen Production in the USA

2021 ◽  
Vol 13 (14) ◽  
pp. 7804
Author(s):  
Christoph Falter ◽  
Andreas Sizmann
Keyword(s):  
Hydrogen Production ◽  
Large Scale ◽  
Low Cost ◽  
The United States ◽  
Solar Irradiation ◽  
Transport Sector ◽  
Fossil Energy ◽  
The Us ◽  
The Usa ◽  
Solar Thermochemical

Hydrogen produced from renewable energy has the potential to decarbonize parts of the transport sector and many other industries. For a sustainable replacement of fossil energy carriers, both the environmental and economic performance of its production are important. Here, the solar thermochemical hydrogen pathway is characterized with a techno-economic and life-cycle analysis. Assuming a further increase of conversion efficiency and a reduction of investment costs, it is found that hydrogen can be produced in the United States of America at costs of 2.1–3.2 EUR/kg (2.4–3.6 USD/kg) at specific greenhouse gas emissions of 1.4 kg CO2-eq/kg. A geographical potential analysis shows that a maximum of 8.4 × 1011 kg per year can be produced, which corresponds to about twelve times the current global and about 80 times the current US hydrogen production. The best locations are found in the Southwest of the US, which have a high solar irradiation and short distances to the sea, which is beneficial for access to desalinated water. Unlike for petrochemical products, the transport of hydrogen could potentially present an obstacle in terms of cost and emissions under unfavorable circumstances. Given a large-scale deployment, low-cost transport seems, however, feasible.

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