scholarly journals Does violence within a non-violent social movement help or hurt the movement? Evidence from the 2020 BlackLivesMatter Protests

2021 ◽  
Author(s):  
Eric Shuman ◽  
Siwar Hasan-Aslih
Keyword(s):  
Social Movement ◽  
Real World ◽  
Black Americans ◽  
Election Study ◽  
Real World Data ◽  
Us History ◽  
Policy Goals ◽  
Different Types ◽  
Key Policy ◽  
Us Counties

The murder of George Floyd ignited one of the largest mass mobilizations in US history, including both non-violent and violent BlackLivesMatter protests in the summer of 2020. Many have since asked: did the violence within the largely non-violent movement help or hurt its goals? To answer this question, we used real-world data (ACLED, 2020) about the location of all BlackLivesMatter protests during the summer of 2020 to identify US counties that featured no protests, only nonviolent protests, or both nonviolent and violent protests. We then combined this data with survey data (N = 494, Study 1), data from the Congressional Cooperative Election Study (N = 43,924, Study 2A), and data from Project Implicit (N = 180,480, Study 2B), in order to examine how exposure (i.e. living in a county with) different types of protest affected both support for the key policy goals of the movement and prejudice towards Black Americans. We found that the 2020 BLM protests had no impact on prejudice among either liberals or conservatives. However, they were, even when violent, able to increase support for BlackLivesMatter’s key policy goals among conservatives living in relatively liberal areas. As such, this research suggests that violent, disruptive actions within a broader non-violent movement may affect those likely to be resistant to the movement. We connect these findings to the notion of disruptive action, which explains why these effects do not materialize in reducing prejudice, but in generating support for important policy goals of the movement.

scholarly journals Reference values for intake of 6 types of soluble and insoluble fibre in healthy UK inhabitants based on the UK Biobank data

2021 ◽  
pp. 1-41
Author(s):  
Artem Shevlyakov ◽  
Dimitri Nikogosov ◽  
Leigh-Ann Stewart ◽  
Miguel Toribio-Mateas
Keyword(s):  
Reference Values ◽  
Real World ◽  
Dietary Fibre ◽  
Specific Reference ◽  
Uk Biobank ◽  
Real World Data ◽  
Cross Sectional ◽  
World Data ◽  
Different Types ◽  
The Uk

Abstract Objective: To obtain a set of reference values for the intake of different types of dietary fibre in a healthy UK population. Design: This descriptive cross-sectional study used the UK Biobank data to estimate the dietary patterns of healthy individuals. Data on fibre content in different foods were used to calculate the reference values which were then calibrated using real-world data on total fibre intake. Setting: UK Biobank is a prospective cohort study of over 500,000 individuals from across the United Kingdom with the participants aged between 40 and 69 years. Participants: UK Biobank contains information on over 500,000 participants. This study was performed using the data on 19990 individuals (6941 men, 13049 women) who passed stringent quality control and filtering procedures and had reported above-zero intake of the analysed foods. Results: A set of reference values for the intake of 6 different types of soluble and insoluble fibres (cellulose, hemicelluloses, pectin and lignin), including the corresponding totals, was developed and calibrated using real-world data. Conclusions: To our knowledge, this is the first study to establish specific reference values for the intake of different types of dietary fibre. It is well-known that effects exerted by different types of fibre both directly and through modulation of microbiota are numerous. Conceivably, a deficit or excess intake of specific types of dietary fibre may detrimentally affect human health. Filling this knowledge gap opens new avenues for research in discussion in studies of nutrition and microbiota, and offers valuable tools for practitioners worldwide.

scholarly journals ADES: A New Ensemble Diversity-Based Approach for Handling Concept Drift

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Tinofirei Museba ◽  
Fulufhelo Nelwamondo ◽  
Khmaies Ouahada
Keyword(s):  
Machine Learning ◽  
Real World ◽  
Data Streams ◽  
Predictive Models ◽  
Concept Drift ◽  
Dynamic Environments ◽  
Real World Data ◽  
World Data ◽  
Different Types ◽  
Concept Drifts

Beyond applying machine learning predictive models to static tasks, a significant corpus of research exists that applies machine learning predictive models to streaming environments that incur concept drift. With the prevalence of streaming real-world applications that are associated with changes in the underlying data distribution, the need for applications that are capable of adapting to evolving and time-varying dynamic environments can be hardly overstated. Dynamic environments are nonstationary and change with time and the target variables to be predicted by the learning algorithm and often evolve with time, a phenomenon known as concept drift. Most work in handling concept drift focuses on updating the prediction model so that it can recover from concept drift while little effort has been dedicated to the formulation of a learning system that is capable of learning different types of drifting concepts at any time with minimum overheads. This work proposes a novel and evolving data stream classifier called Adaptive Diversified Ensemble Selection Classifier (ADES) that significantly optimizes adaptation to different types of concept drifts at any time and improves convergence to new concepts by exploiting different amounts of ensemble diversity. The ADES algorithm generates diverse base classifiers, thereby optimizing the margin distribution to exploit ensemble diversity to formulate an ensemble classifier that generalizes well to unseen instances and provides fast recovery from different types of concept drift. Empirical experiments conducted on both artificial and real-world data streams demonstrate that ADES can adapt to different types of drifts at any given time. The prediction performance of ADES is compared to three other ensemble classifiers designed to handle concept drift using both artificial and real-world data streams. The comparative evaluation performed demonstrated the ability of ADES to handle different types of concept drifts. The experimental results, including statistical test results, indicate comparable performances with other algorithms designed to handle concept drift and prove their significance and effectiveness.

scholarly journals The challenge of measuring poverty and inequality: a comparative analysis of the main indicators

2018 ◽  
Vol 7 (1) ◽  
pp. 24
Author(s):  
Juan Ignacio Martín-Legendre
Keyword(s):  
Comparative Analysis ◽  
Gini Coefficient ◽  
Real World ◽  
Alternative Methods ◽  
Complementary Information ◽  
Real World Data ◽  
Policy Makers ◽  
Poverty And Inequality ◽  
Different Types ◽  
Economic Analyses

This paper presents a review of the main available indicators to measure poverty and income inequality, examining their properties and suitability for different types of economic analyses, and providing real-world data to illustrate how they work. Although some of these metrics –such as the Gini coefficient– are most frequently used for this purpose, it is crucially important for researchers and policy-makers to take into account alternative methods that can offer complementary information in order to better understand these issues at all levels.

Abstract #946: Assessment of Acromegaly Patients with and Without Diabetes Treated with Lanreotide Depot: 2-Year Real World Data

2016 ◽  
Vol 22 ◽  
pp. 219
Author(s):  
Roberto Salvatori ◽  
Olga Gambetti ◽  
Whitney Woodmansee ◽  
David Cox ◽  
Beloo Mirakhur ◽  
...  
Keyword(s):  
Real World ◽  
Real World Data ◽  
World Data

Safety and efficacy of direct acting oral anticoagulants and vitamin K antagonists in nonvalvular atrial fibrillation – a network meta-analysis of real-world data

VASA ◽  
2019 ◽  
Vol 48 (2) ◽  
pp. 134-147 ◽  
Author(s):  
Mirko Hirschl ◽  
Michael Kundi
Keyword(s):  
Real World ◽  
Meta Analysis ◽  
Vitamin K Antagonists ◽  
Oral Anticoagulants ◽  
Efficacy And Safety ◽  
Nonvalvular Atrial Fibrillation ◽  
Real World Data ◽  
Hazard Ratios ◽  
Direct Acting ◽  
Event Rates

Abstract. Background: In randomized controlled trials (RCTs) direct acting oral anticoagulants (DOACs) showed a superior risk-benefit profile in comparison to vitamin K antagonists (VKAs) for patients with nonvalvular atrial fibrillation. Patients enrolled in such studies do not necessarily reflect the whole target population treated in real-world practice. Materials and methods: By a systematic literature search, 88 studies including 3,351,628 patients providing over 2.9 million patient-years of follow-up were identified. Hazard ratios and event-rates for the main efficacy and safety outcomes were extracted and the results for DOACs and VKAs combined by network meta-analysis. In addition, meta-regression was performed to identify factors responsible for heterogeneity across studies. Results: For stroke and systemic embolism as well as for major bleeding and intracranial bleeding real-world studies gave virtually the same result as RCTs with higher efficacy and lower major bleeding risk (for dabigatran and apixaban) and lower risk of intracranial bleeding (all DOACs) compared to VKAs. Results for gastrointestinal bleeding were consistently better for DOACs and hazard ratios of myocardial infarction were significantly lower in real-world for dabigatran and apixaban compared to RCTs. By a ranking analysis we found that apixaban is the safest anticoagulant drug, while rivaroxaban closely followed by dabigatran are the most efficacious. Risk of bias and heterogeneity was assessed and had little impact on the overall results. Analysis of effect modification could guide the clinical decision as no single DOAC was superior/inferior to the others under all conditions. Conclusions: DOACs were at least as efficacious as VKAs. In terms of safety endpoints, DOACs performed better under real-world conditions than in RCTs. The current real-world data showed that differences in efficacy and safety, despite generally low event rates, exist between DOACs. Knowledge about these differences in performance can contribute to a more personalized medicine.

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