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The COVID-19 Pandemic and Carbon Emissions: A Sectoral Analysis of India and Global Trends Against the Paris Agreement Targets
No full textThe COVID-19 pandemic triggered an unprecedented contraction in global economic activity, producing a rare natural experiment for observing the relationship between human activity and carbon emissions. This paper examines sector-wise variation in CO2 emissions in India and globally during the pandemic year of 2020, using daily near-real-time data from the Carbon Monitor, and benchmarks observed changes against the 7.6% annual reduction target required under the Paris Climate Agreement to limit global warming to 1.5 degrees C. We find a global CO2 decline of 4.57% in 2020 relative to the 2019 baseline, substantially below the Paris-required threshold, and achieved only through the severe disruption of most economic activity. India's overall decline was steeper at 8.33%, driven disproportionately by the industrial sector (-13.92%) and domestic aviation (-45.71%), reflecting the comparative stringency of India's lockdown measures. Critically, emissions in most sectors had substantially recovered to pre-pandemic levels by the second half of 2020, while ground transportation and aviation showed sustained decline through year-end. The findings suggest that pandemic-induced emission reductions represent a temporary and structurally shallow disruption rather than a meaningful contribution to long-term
decarbonization, and that achieving Paris targets will require sustained structural transformation across all major emitting sectors
LINDQVIST_AmPoliSciRev_2010_OeGv - Puthillam - 241w6
No full textSource Data Reporoduction of LINDQVIST_AmPoliSciRev_2010_OeGv - Puthillam - 241w
Survey on Attitudes and Practices Regarding Research Integrity in Forensic Psychology
No full textThe purpose of the research project is to understand the beliefs and practices of forensic psychology (and related) researchers concerning QRPs and open science initiatives. I aim to examine the following research questions:
1. How often do forensic psychology researchers engage in QRPs?
2. How often do forensic psychology researchers engage in open science practices?
3. hat are the most significant barriers to forensic psychology researchers employing open science practices
4. Does the tendency to practice QRPs and open science initiatives differ based on the researcher’s position? (i.e., are more junior researchers more likely to engage in open science initiatives?
Depressão entre mulheres durante a pandemia de COVID-19: estudo transversal sobre prevalência e acesso a consultas médicas em Vitória, Espírito Santo, 2022
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King_JournOrgBehavior_2017_Q1dl - Evans - 2w94o
No full textThis is a preregistration of a computational reproduction attempt for a variety of analyses from the King and Bryant (2017) paper published in the Journal of Organizational Behavior. Please find the specific analyses and their reproduction success criteria in the document "King_JournOrgBehavior_2017_Q1dl_2w94o_PBR_ADR.xlsx".
King, S. P., & Bryant, F. B. (2017). The Workplace Intergenerational Climate Scale (WICS): A self‐report instrument measuring ageism in the workplace. Journal of Organizational behavior, 38(1), 124-151
Lefevre_EurJournPersonality_2013_GNjz - Evans - Direct Replication - y60
No full textThe current preregistration refers to the work conducted toward the SCORE project.
The claim selected for replication from Lefevre et al (2013) is:
We selected the claim that facial width-to-height ratio (fWHR) would be positively associated with enhanced perceptions of aggressiveness (Statement 2). This reflects the following statement from the paper's abstract: "Results indicated that both male and female faces with increased fWHR and increased facial masculinity were perceived as more aggressive" (Statement 1). The claim is tested by calculating a t test to compare the proportion selected as more aggressive between high and low facial width-to-height ratio (fWHR) faces (Statement 3), which resulted in participants choosing the higher facial width-to-height ratio (fWHR) face as more aggressive in 58.3% of the trials. This was significantly above chance [t(101) = 4.06, p < .001] (Statement 4)
Machine Learning-Based Toxicity Prediction of Natural Toxins (2021–2026): A PRISMA-ScR Scoping Review
No full textThis project contains the registered protocol for a PRISMA-ScR-guided scoping review aimed at systematically mapping machine learning approaches applied to natural toxin toxicity prediction. The protocol defines eligibility criteria, search strategy, screening procedures, and data extraction framework prior to synthesis to ensure methodological transparency