scholarly journals Mindsets: A View From Two Eras

2019 ◽  
Vol 14 (3) ◽  
pp. 481-496 ◽  
Author(s):  
Carol S. Dweck ◽  
David S. Yeager
Keyword(s):  
United States ◽  
Human Behavior ◽  
Field Experiments ◽  
The United States ◽  
Growth Mindset ◽  
Systematic Examination ◽  
Personal Perspectives ◽  
Over Time

A growth mindset is the belief that human capacities are not fixed but can be developed over time, and mindset research examines the power of such beliefs to influence human behavior. This article offers two personal perspectives on mindset research across two eras. Given recent changes in the field, the authors represent different generations of researchers, each focusing on different issues and challenges, but both committed to “era-bridging” research. The first author traces mindset research from its systematic examination of how mindsets affect challenge seeking and resilience, through the ways in which mindsets influence the formation of judgments and stereotypes. The second author then describes how mindset research entered the era of field experiments and replication science, and how researchers worked to create reliable interventions to address underachievement—including a national experiment in the United States. The authors conclude that there is much more to learn but that the studies to date illustrate how an era-bridging program of research can continue to be generative and relevant to new generations of scholars.

scholarly journals Behavior and the Transmission of COVID-19

2021 ◽  
Vol 111 ◽  
pp. 356-360
Author(s):  
Andrew G. Atkeson ◽  
Karen Kopecky ◽  
Tao Zha
Keyword(s):  
United States ◽  
Simple Model ◽  
Human Behavior ◽  
Growth Rates ◽  
Disease Transmission ◽  
The United States ◽  
Disease Prevalence ◽  
Equilibrium Outcome ◽  
Transmission Rates ◽  
Over Time

A simple model of COVID-19 that incorporates feedback from disease prevalence to disease transmission through an endogenous response of human behavior does a remarkable job fitting the main features of the data on the growth rates of daily deaths observed across a large number of countries and states in the United States in 2020. This finding, however, suggests a new empirical puzzle: very large wedges that shift disease transmission rates holding disease prevalence fixed are required both across regions and within a region over time for the model to match the data on deaths from COVID-19 as an equilibrium outcome exactly.

Dynamic Norms Promote Sustainable Behavior, Even if It Is Counternormative

2017 ◽  
Vol 28 (11) ◽  
pp. 1663-1674 ◽  
Author(s):  
Gregg Sparkman ◽  
Gregory M. Walton
Keyword(s):  
United States ◽  
Water Use ◽  
Field Experiments ◽  
Social Norm ◽  
Meat Consumption ◽  
The United States ◽  
Meat Eating ◽  
Attitudes And Behaviors ◽  
Sustainable Behavior ◽  
Over Time

It is well known that people conform to normative information about other people’s current attitudes and behaviors. Do they also conform to dynamic norms—information about how other people’s behavior is changing over time? We investigated this question in three online and two field experiments. Experiments 1 through 4 examined high levels of meat consumption, a normative and salient behavior that is decreasing in the United States. Dynamic norms motivated change despite prevailing static norms, increasing interest in eating less meat (Experiments 1–3) and doubling meatless orders at a café (Experiment 4). Mediators included the anticipation of less meat eating in the future ( preconformity) and the inference that reducing meat consumption mattered to other people (Experiments 2 and 3). In Experiment 5, we took advantage of a natural comparison to provide evidence that dynamic norms can also strengthen social-norm interventions when the static norm is positive; a positive dynamic norm resulted in reduced laundry loads and water use over 3 weeks during a drought.

Magic and Politics

2020 ◽  
Vol 23 (4) ◽  
pp. 5-14
Author(s):  
Sabina Magliocco
Keyword(s):  
United States ◽  
North America ◽  
Human Behavior ◽  
Presidential Election ◽  
The United States ◽  
Right Wing ◽  
Special Issue ◽  
Far Right ◽  
Cultural Expression ◽  
Spirit World

This essay introduces a special issue of Nova Religio on magic and politics in the United States in the aftermath of the 2016 presidential election. The articles in this issue address a gap in the literature examining intersections of religion, magic, and politics in contemporary North America. They approach political magic as an essentially religious phenomenon, in that it deals with the spirit world and attempts to motivate human behavior through the use of symbols. Covering a range of practices from the far right to the far left, the articles argue against prevailing scholarly treatments of the use of esoteric technologies as a predominantly right-wing phenomenon, showing how they have also been operationalized by the left in recent history. They showcase the creativity of magic as a form of human cultural expression, and demonstrate how magic coexists with rationality in contemporary western settings.

An Analysis of Fraudulent Qui Tam Actions Over Time in the United States

2007 ◽  
Author(s):  
Karen A. Fitzner ◽  
Charlie Bennett ◽  
June McKoy ◽  
Cara Tigue
Keyword(s):  
United States ◽  
The United States ◽  
Over Time

The New Economic Populism and the Future of Inequality in the United States

2017 ◽  
Author(s):  
William W. Franko ◽  
Christopher Witko
Keyword(s):  
United States ◽  
Federal Government ◽  
Labor Unions ◽  
Republican Party ◽  
The United States ◽  
The Public ◽  
Empirical Results ◽  
Income Disparities ◽  
The Face ◽  
Over Time

The authors conclude the book by recapping their arguments and empirical results, and discussing the possibilities for the “new economic populism” to promote egalitarian economic outcomes in the face of continuing gridlock and the dominance of Washington, DC’s policymaking institutions by business and the wealthy, and a conservative Republican Party. Many states are actually addressing inequality now, and these policies are working. Admittedly, many states also continue to embrace the policies that have contributed to growing inequality, such as tax cuts for the wealthy or attempting to weaken labor unions. But as the public grows more concerned about inequality, the authors argue, policies that help to address these income disparities will become more popular, and policies that exacerbate inequality will become less so. Over time, if history is a guide, more egalitarian policies will spread across the states, and ultimately to the federal government.

scholarly journals Interaction of dicamba, fluthiacet-methyl, and glyphosate for control of velvetleaf (Abutilon theopharsti) in dicamba/glyphosate-resistant soybean

2021 ◽  
pp. 1-21
Author(s):  
Jose H. S. de Sanctis ◽  
Amit J. Jhala
Keyword(s):  
United States ◽  
Field Experiments ◽  
The United States ◽  
Application Rate ◽  
Herbicide Application ◽  
Soybean Yield ◽  
Agronomic Crops ◽  
Split Plot ◽  
Main Plot ◽  
Biomass Reduction

Abstract Velvetleaf is an economically important weed in agronomic crops in Nebraska and the United States. Dicamba applied alone usually does not provide complete velvetleaf control, particularly when velvetleaf is greater than 15 cm tall. The objectives of this experiment were to evaluate the interaction of dicamba, fluthiacet-methyl, and glyphosate applied alone or in a mixture in two- or three-way combinations for velvetleaf control in dicamba/glyphosate-resistant (DGR) soybean and to evaluate whether velvetleaf height (≤ 12 cm or ≤ 20 cm) at the time of herbicide application influences herbicide efficacy, velvetleaf density, biomass, and soybean yield. Field experiments were conducted near Clay Center, Nebraska in 2019 and 2020. The experiment was arranged in a split-plot with velvetleaf height (≤ 12 cm or ≤ 20 cm) as the main plot treatment and herbicides as sub-plot treatment. Fluthiacet provided ≥ 94% velvetleaf control 28 d after treatment (DAT) and ≥ 96% biomass reduction regardless of application rate or velvetleaf height. Velvetleaf control was 31% to 74% at 28 DAT when dicamba or glyphosate was applied alone to velvetleaf ≤ 20 cm tall compared with 47% to 100% control applied to ≤ 12 cm tall plants. Dicamba applied alone to ≤ 20 cm tall velvetleaf provided < 75% control and < 87% biomass reduction 28 DAT compared with ≥ 90% control with dicamba at 560 g ae ha−1 + fluthiacet at 7.2 g ai ha−1 or glyphosate at 1,260 g ae ha−1. Dicmaba at 280 g ae ha−1 + glyphosate at 630 g ae ha−1 applied to ≤ 20 cm tall velvetleaf resulted in 86% control 28 DAT compared with the expected 99% control. The interaction of dicamba + fluthiacet + glyphosate was additive for velvetleaf control and biomass reduction regardless of application rate and velvetleaf height.

scholarly journals Thirty-Day Laboratory-Based Surveillance for Carbapenem-Resistant Enterobacteriaceae in the Minneapolis-St. Paul Metropolitan Area

2014 ◽  
Vol 35 (4) ◽  
pp. 423-425 ◽  
Author(s):  
Edwin C. Pereira ◽  
Kristin M. Shaw ◽  
Paula M. Snippes Vagnone ◽  
Jane E. Harper ◽  
Alexander J. Kallen ◽  
...  
Keyword(s):  
United States ◽  
Metropolitan Area ◽  
The United States ◽  
Carbapenem Resistant ◽  
Over Time ◽  
Carbapenem Resistant Enterobacteriaceae

Carbapenem-resistant Enterobacteriaceae (CRE) are a growing problem in the United States. We explored the feasibility of active laboratory-based surveillance of CRE in a metropolitan area not previously considered to be an area of CRE endemicity. We provide a framework to address CRE surveillance and to monitor changes in the incidence of CRE infection over time.

scholarly journals Revealing the spatial shifting pattern of COVID-19 pandemic in the United States

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Di Zhu ◽  
Xinyue Ye ◽  
Steven Manson
Keyword(s):  
United States ◽  
Long Range ◽  
Network Optimization ◽  
Network Modeling ◽  
The United States ◽  
Standard Series ◽  
Time And Space ◽  
Long Range Interactions ◽  
Dynamic Relationships ◽  
Over Time

AbstractWe describe the use of network modeling to capture the shifting spatiotemporal nature of the COVID-19 pandemic. The most common approach to tracking COVID-19 cases over time and space is to examine a series of maps that provide snapshots of the pandemic. A series of snapshots can convey the spatial nature of cases but often rely on subjective interpretation to assess how the pandemic is shifting in severity through time and space. We present a novel application of network optimization to a standard series of snapshots to better reveal how the spatial centres of the pandemic shifted spatially over time in the mainland United States under a mix of interventions. We find a global spatial shifting pattern with stable pandemic centres and both local and long-range interactions. Metrics derived from the daily nature of spatial shifts are introduced to help evaluate the pandemic situation at regional scales. We also highlight the value of reviewing pandemics through local spatial shifts to uncover dynamic relationships among and within regions, such as spillover and concentration among states. This new way of examining the COVID-19 pandemic in terms of network-based spatial shifts offers new story lines in understanding how the pandemic spread in geography.

scholarly journals Field Evaluations of Leaf Spot Resistance and Yield in Peanut Genotypes in the United States and Bolivia

Plant Disease ◽  
2011 ◽  
Vol 95 (3) ◽  
pp. 263-268 ◽  
Author(s):  
S. K. Gremillion ◽  
A. K. Culbreath ◽  
D. W. Gorbet ◽  
B. G. Mullinix ◽  
R. N. Pittman ◽  
...  
Keyword(s):  
United States ◽  
Disease Resistance ◽  
Leaf Spot ◽  
Field Experiments ◽  
Disease Incidence ◽  
The United States ◽  
Yield Potential ◽  
Cercospora Arachidicola ◽  
Breeding Lines ◽  
Progress Curve

Field experiments were conducted in 2002 to 2006 to characterize yield potential and disease resistance in the Bolivian landrace peanut (Arachis hypogaea) cv. Bayo Grande, and breeding lines developed from crosses of Bayo Grande and U.S. cv. Florida MDR-98. Diseases of interest included early leaf spot, caused by the fungus Cercospora arachidicola, and late leaf spot, caused by the fungus Cercosporidium personatum. Bayo Grande, MDR-98, and three breeding lines, along with U.S. cvs. C-99R and Georgia Green, were included in split-plot field experiments in six locations across the United States and Bolivia. Whole-plot treatments consisted of two tebuconazole applications and a nontreated control. Genotypes were the subplot treatments. Area under the disease progress curve (AUDPC) for percent defoliation due to leaf spot was lower for Bayo Grande and all breeding lines than for Georgia Green at all U.S. locations across years. AUDPC for disease incidence from one U.S. location indicated similar results. Severity of leaf spot epidemics and relative effects of the genotypes were less consistent in the Bolivian experiments. In Bolivia, there were no indications of greater levels of disease resistance in any of the breeding lines than in Bayo Grande. In the United States, yields of Bayo Grande and the breeding lines were greater than those of the other genotypes in 1 of 2 years. In Bolivia, low disease intensity resulted in the highest yields in Georgia Green, while high disease intensity resulted in comparable yields among the breeding lines, MDR-98, and C-99R. Leaf spot suppression by tebuconazole was greater in Bolivia than in the United States. This result indicates a possible higher level of fungicide resistance in the U.S. population of leaf spot pathogens. Overall, data from this study suggest that Bayo Grande and the breeding lines may be desirable germplasm for U.S. and Bolivian breeding programs or production.

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