We provide national-scale experimental evidence from China showing that transparency by local governments improves the management of air pollution. Governments that perform better have more reasons to be transparent, making the causal relationship between transparency and policy outcomes difficult to disentangle. In 2015, we randomly assigned municipal governments in China to a high-visibility, public rating of their adherence to national requirements for transparency about their regulation of pollution. By 2016, this treatment significantly boosted transparency in treated cities relative to control cities, allowing us to observe the effect of randomly increasing transparency in the years that followed. Subsequently, high-polluting firms in treated cities cut their violations by 37% compared to similar firms in control cities. Inspections by local governments increased by about 90% in treated cities relative to control cities. Ambient air pollution decreased between 8 and 10% in treated cities relative to control cities, which likely generated significant health benefits. This study provides strong evidence that governmental transparency causes improved environmental quality, at least in a setting where the public and higher governments want to hold local governments accountable.
The mosquito Aedes aegypti infects hundreds of millions of people annually with disease-causing viruses. When a mosquito approaches a host, the host often swats defensively. Here, we reveal the mosquito's escape behavior during host seeking in response to a threatening visual cue-a newly appearing shadow. We found that reactions to a shadow are far more aversive when it appears quickly versus slowly. Remarkably, mosquitoes evade shadows under very dim light conditions. Knockout of the TRP channel compromises the ability of mosquitoes to avoid threatening shadows, but only under high light conditions. Conversely, removing two of the five rhodopsins normally present in the compound eyes, Op1 and Op2, diminishes shadow aversion, but only under low light. Upon removal of a threatening visual cue, mosquitoes quickly re-initiate host seeking. Thus, female Aedes balance their need to host seek with visual threat avoidance by rapidly transitioning between these two behavioral states.
Many in the autistic community have expressed concerns regarding the use of behavioral interventions with autistic children, suggesting that these interventions may not be socially valid. Though behavioral interventions have evolved to be more naturalistic and child-centered, little structured research has been done to explicitly seek autistic perspectives on the acceptability of specific components of behavioral interventions. Autistic adults (N = 235) were recruited online to take the Autism Intervention Attitudes Scale (AIAS), a questionnaire designed to gather feedback on common intervention goals and practices. Results indicate that participants find goals and practices that highlight quality of life, safety, and autistic interactions acceptable, while those that focus on normalization based on neurotypical standards are not. An exploratory graph analysis revealed three communities of goals (uncontroversial goals, controversial goals, and social goals). Comparison between naturalistic and structured intervention components additionally showed that autistic participants favored naturalistic strategies. These findings are in line with known criticisms of behavioral intervention from autistic adults, but also provide more information on the specific ways in which behavioral interventions can be reformed. This information can guide professionals in the development of appropriate goals and decisions around intervention planning.
BACKGROUND: De novo DNA methylation by DNMT3A is a fundamental epigenetic modification for transcriptional regulation. Histone tails and regulatory proteins regulate DNMT3A, and the crosstalk between these epigenetic mechanisms ensures appropriate DNA methylation patterning. Based on findings showing that Fos ecRNA inhibits DNMT3A activity in neurons, we sought to characterize the contribution of this regulatory RNA in the modulation of DNMT3A in the presence of regulatory proteins and histone tails. RESULTS: We show that Fos ecRNA and mRNA strongly correlate in primary cortical neurons on a single cell level and provide evidence that Fos ecRNA modulation of DNMT3A at these actively transcribed sites occurs in a sequence-independent manner. Further characterization of the Fos ecRNA-DNMT3A interaction showed that Fos-1 ecRNA binds the DNMT3A tetramer interface and clinically relevant DNMT3A substitutions that disrupt the inhibition of DNMT3A activity by Fos-1 ecRNA are restored by the formation of heterotetramers with DNMT3L. Lastly, using DNMT3L and Fos ecRNA in the presence of synthetic histone H3 tails or reconstituted polynucleosomes, we found that regulatory RNAs play dominant roles in the modulation of DNMT3A activity. CONCLUSION: Our results are consistent with a model for RNA regulation of DNMT3A that involves localized production of short RNAs binding to a nonspecific site on the protein, rather than formation of localized RNA/DNA structures. We propose that regulatory RNAs play a dominant role in the regulation of DNMT3A catalytic activity at sites with increased production of regulatory RNAs.
This study develops an event-based, energy-efficient control strategy for desynchronizing coupled neuronal networks using optimal control theory. Inspired by phase resetting techniques in Parkinsons disease treatment, we incorporate stochasticity of the systems dynamics into deterministic models to address neural system intrinsic noise. We use an advanced computational solver for nonlinear stochastic partial differential equations to solve the stochastic Hamilton-Jacobi-Bellman equation via level set methods for a single neuron model; this allows us to find control inputs which drive the dynamics close to the systems phaseless set. When applied to coupled neuronal networks, these inputs achieve effective randomization of neuronal spike timing, leading to significant network desynchronization. Compared to its deterministic counterpart, our stochastic method can achieve considerable energy savings. The event-based control minimizes unnecessary charge transfer, potentially extending implanted stimulator battery life while maintaining robustness against variations in neuronal coupling strengths and network heterogeneities. These findings highlight the potential for developing energy-efficient neurostimulation techniques with implications for deep brain stimulation protocols. The presented computational framework could also be applied to other domains for which stochastic optimal control problems are prevalent.
The goal of this protocol is to improve the characterization and performance standardization of multiphoton microscopy hardware across a large user base. We purposefully focus on hardware and only briefly touch on software and data analysis routines where relevant. Here we cover the measurement and quantification of laser power, pulse width optimization, field of view, resolution and photomultiplier tube performance. The intended audience is scientists with little expertise in optics who either build or use multiphoton microscopes in their laboratories. They can use our procedures to test whether their multiphoton microscope performs well and produces consistent data over the lifetime of their system. Individual procedures are designed to take 1-2 h to complete without the use of expensive equipment. The procedures listed here help standardize the microscopes and facilitate the reproducibility of data across setups.
Abstract: This essay argues that “atheist” and “agnostic” are not merely negative labels that indicate a person lacks belief in God or is not religious. Relying on a new survey of very secular Americans and the General Social Survey, we demonstrate a statistically significant and substantively meaningful relationship, in both predictive directions, between identifying as atheist or agnostic and holding certain beliefs about how best to know the world and what happens when we die. We can reliably predict that most people in the United States who trust science, reason, and evidence and do not trust religious sources will identify as atheist or agnostic—and vice-versa. We find the same bi-directional relationship with belief in mortal finitude, i.e., that death is the final end. Our findings suggest that exclusive empiricism and mortal finitude are positive tenets of belief systems that those who identify as atheist or agnostic are likely to hold.
We present Bedmap3, the latest suite of gridded products describing surface elevation, ice-thickness and the seafloor and subglacial bed elevation of the Antarctic south of 60 °S. Bedmap3 incorporates and adds to all post-1950s datasets previously used for Bedmap2, including 84 new aero-geophysical surveys by 15 data providers, an additional 52 million data points and 1.9 million line-kilometres of measurement. These efforts have filled notable gaps including in major mountain ranges and the deep interior of East Antarctica, along West Antarctic coastlines and on the Antarctic Peninsula. Our new Bedmap3/RINGS grounding line similarly consolidates multiple recent mappings into a single, spatially coherent feature. Combined with updated maps of surface topography, ice shelf thickness, rock outcrops and bathymetry, Bedmap3 reveals in much greater detail the subglacial landscape and distribution of Antarcticas ice, providing new opportunities to interpret continental-scale landscape evolution and to model the past and future evolution of the Antarctic ice sheets.
