Impacts of neonicotinoid use on long-term population changes in wild bees in England

Wild bee declines have been ascribed in part to neonicotinoid insecticides. While short-term laboratory studies on commercially-bred species (principally honeybees and bumblebees) have identified sub-lethal effects, there is no strong evidence linking these insecticides to losses of the majority of wild bee species. We relate 18 years of UK national wild bee distribution data for 62 species to amounts of neonicotinoid use in oilseed rape. Using a multi-species dynamic Bayesian occupancy analysis, we find evidence of increased population extinction rates in response to neonicotinoid seed treatment use on oilseed rape. Species foraging on oilseed rape benefit from the cover of this crop, but were on average three times more negatively affected by exposure to neonicotinoids than non-crop foragers. Our results suggest that sub-lethal effects of neonicotinoids could scale-up to cause losses of bee biodiversity. Restrictions on neonicotinoid use may reduce population declines

Assessment of occupational exposure to pesticide mixtures with endocrine disrupting activity

Occupational exposure to pesticide mixtures comprising active substance(s) and/or co-formulant(s) with known/possible endocrine disrupting activity was assessed using long-term activity records for 50 professional operators representing arable and orchard cropping systems in Greece, Lithuania, and the UK. Exposure was estimated using the harmonised Agricultural Operator Exposure Model, and risk was quantified as a point of departure index (PODI) using the lowest no observed (adverse) effect level. Use of substances with known/possible endocrine activity was common, with 43 of the 50 operators applying at least one such active substance on more than 50% of spray days; at maximum, one UK operator sprayed five such active substances and ten such co-formulants in a single day. At 95th percentile, total exposure was largest in the UK orchard system (4.1x10-2 mg kg bw-1 day-1) whereas risk was largest in the Greek cropping systems (PODI 5.3x10-1). All five cropping systems had instances indicating potential for risk when expressed at a daily resolution (maximum PODI 1.2-10.7). Toxicological data are sparse for co-formulants so combined risk from complex mixtures of active substances and co-formulants may be larger in reality

Maintaining the Strength of American Capitalism

The American economic system has always been the foundation of our national strength. But this foundation is showing cracks—from high levels of income inequality, declining economic mobility, and persistent economic insecurity among low- and middle-income Americans.Many now conclude that our economic system is broken. Recent polling data show that trust in capitalism is declining, especially among younger people. A 2018 Gallup poll found that less than half of respondents (45%) ages 18-29 held positive views of capitalism. This shift represents a 20-point decline since 2010 in the share of young adults' who held positive views of capitalism.The upshot is clear: American capitalism is in trouble. We need to strengthen our system to ensure that more people participate in our economic success. This means updating and adjusting our policies to ensure the outcomes of our market-based economy are consistent with fundamental American values of freedom, opportunity, and equality.Doing so isn't just an imperative for economic reasons. We believe that strengthening capitalism is as important for the health of the American economy as it is for the strength of our democracy. High levels of economic inequality will only contribute to increasing political dysfunction.The essays contained in this volume seek to clarify the lines of debate on some of the greatest economic policy challenges of our time and present evidence- based analysis on how to address them. It examines the hypothesis that growing market concentration is inhibiting a dynamic and competitive economy. Next, it examines the health of America's fiscal situation and what it implies about the continued strength of our market-based economy. Finally, it takes a hard look at recent policy proposals that would dramatically raise taxes on the rich and expand access to public benefit programs in response to high levels of income inequality and declining economic mobility.The perspectives presented in this volume are not intended to represent the consensus view of Aspen Economic Strategy Group members. Our goal is to equip policymakers with the best analysis available to better inform decision making and to help Americans better understand the difficult trade-offs our leaders face in making such decisions.There is no single solution to the challenges facing the American economy. The important role of evidence-based policies with bipartisan appeal, however, is difficult to overstate. This volume cannot claim to represent the end of thinking on ways to strengthen American capitalism, but we believe it provides a useful start

The acute effects of cocoa flavanols on temporal and spatial attention

In this study, we investigated how the acute physiological effects of cocoa flavanols might result in specific cognitive changes, in particular in temporal and spatial attention. To this end, we pre-registered and implemented a randomized, double-blind, placebo- and baseline-controlled crossover design. A sample of 48 university students participated in the study and each of them completed the experimental tasks in four conditions (baseline, placebo, low dose, and high-dose flavanol), administered in separate sessions with a 1-week washout interval. A rapid serial visual presentation task was used to test flavanol effects on temporal attention and integration, and a visual search task was similarly employed to investigate spatial attention. Results indicated that cocoa flavanols improved visual search efficiency, reflected by reduced reaction time. However, cocoa flavanols did not facilitate temporal attention nor integration, suggesting Potential underlying mechanisms are discussed

How does exposure to pesticides vary in space and time for residents living near to treated orchards?

This study investigated changes over 25 years (1987-2012) in pesticide usage in orchards in England and Wales and associated changes to exposure and risk for resident pregnant women living 100 and 1000 m downwind of treated areas. A model was developed to estimate aggregated daily exposure to pesticides via inhaled vapour and indirect dermal contact with contaminated ground, whilst risk was expressed as a hazard quotient (HQ) for reproductive and/or developmental endpoints. Results show the largest changes occurred between 1987 and 1996 with total pesticide usage reduced by ca. 25%, exposure per unit of pesticide applied slightly increased, and a reduction in risk per unit exposure by factors of 1.4 to 5. Thereafter, there were no consistent changes in use between 1996 and 2012, with an increase in number of applications to each crop balanced by a decrease in average application rate. Exposure per unit of pesticide applied decreased consistently over this period such that values in 2012 for this metric were 48-65% of those in 1987, and there were further smaller decreases in risk per unit exposure. All aggregated hazard quotients were two to three orders of magnitude smaller than one, despite the inherent simplifications of assuming co-occurrence of exposure to all pesticides and additivity of effects. Hazard quotients at 1000 m were 5 to 30 times smaller than those at 100 m. There were clear signals of the impact of regulatory intervention in improving the fate and hazard profiles of pesticides over the period investigated

Imidazol-1-ylethylindazole Voltage-Gated Sodium Channel Ligands Are Neuroprotective during Optic Neuritis in a Mouse Model of Multiple Sclerosis

[Image: see text] A series of imidazol-1-ylethylindazole sodium channel ligands were developed and optimized for sodium channel inhibition and in vitro neuroprotective activity. The molecules exhibited displacement of a radiolabeled sodium channel ligand and selectivity for blockade of the inactivated state of cloned neuronal Na(v) channels. Metabolically stable analogue 6 was able to protect retinal ganglion cells during optic neuritis in a mouse model of multiple sclerosis

Bayesian Mode Regression

This article has been made available through the Brunel Open Access Publishing Fund.Like mean, quantile and variance, mode is also an important measure of central tendency of a distribution. Many practical questions, particularly in the analysis of big data, such as \Which element (gene or le or signal) is the most typical one among all elements in a network?" are directly related to mode. Mode regression, which provides a convenient summary of how the regressors a ect the conditional mode, is totally di erent from other models based on conditional mean or conditional quantile or conditional variance. Some inference methods for mode regression exist but none of them is from the Bayesian perspective. This paper introduces Bayesian mode regression by exploring three different approaches, including their theoretic properties. The proposed approacher are illustrated using simulated datasets and a real data set