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Collective motion of active matter is ubiquitously observed, ranging from propelled colloids to flocks of bird, and often features the formation of complex structures composed of agents moving coherently. However, it remains extremely challenging to predict emergent patterns from the binary interaction between agents, especially as only a limited number of interaction regimes have been experimentally observed so far. Here, we introduce an actin gliding assay coupled to a supported lipid bilayer, whose fluidity forces the interaction between self-propelled filaments to be dominated by steric repulsion. This results in filaments stopping upon binary collisions and eventually aligning nematically. Such a binary interaction rule results at high densities in the emergence of dynamic collectively moving structures including clusters, vortices, and streams of filaments. Despite the microscopic interaction having a nematic symmetry, the emergent structures are found to be polar, with filaments collectively moving in the same direction. This is due to polar biases introduced by the stopping upon collision, both on the individual filaments scale as well as on the scale of collective structures. In this context, positive half-charged topological defects turn out to be a most efficient trapping and polarity sorting conformation.

Bringing together cases written by experienced leadership and executive coaches from all over the world, this project explores the most demanding and challenging situations they have faced in their professional practices. By analyzing and reflecting on the real life case studies the authors show how to deal with these situations in daily life.

Researchers have used artificial-intelligence models to create regulatory DNA sequences that drive gene expression in specific cell types. Such synthetic sequences could be used to target gene therapies to particular cell populations. Engineering cell-type-specific regulatory elements with machine learning.

Life is a dissipative nonequilibrium structure that requires constant consumption of energy to sustain itself. How such an unstable state could have selected from an abiotic pool of molecules remains a mystery. Here we show that liquid phase-separation offers a mechanism for the selection of dissipative products from a library of reacting molecules. We bring a set of primitive carboxylic acids out-of-equilibrium by addition of high-energy condensing agents. The resulting anhydrides are transiently present before deactivation via hydrolysis. We find the anhydrides that phase-separate into droplets to protect themselves from hydrolysis and to be more persistent than non-assembling ones. Thus, after several starvation-refueling cycles, the library self-selects the phase-separating anhydrides. We observe that the self-selection mechanism is more effective when the library is brought out-of-equilibrium by periodic addition of batches as opposed to feeding it continuously. Our results suggest that phase-separation offers a selection mechanism for energy dissipating assemblies. Selection and persistence of chemical non-equilibrium species is crucial for the emergence of life and the exact mechanisms remain elusive. Here the authors show that phase separation is an efficient way to control selection of chemical species when primitive carboxylic acids are brought out-of-equilibrium by high-energy condensing agents.

Glycosyl phosphates are shown to be activated to stereospecific nucleophilic substitution reactions by precisely tailored bis-thiourea catalysts. Enhanced reactivity and scope is observed with phosphate relative to chloride leaving groups. Stronger binding (Km) to the H-bond donor and enhanced reactivity of the complex (kcat) enables efficient catalysis with broad functional group compatibility under mild, neutral conditions.

Despite the implications for policy, empirical evidence on the relative importance of factors that shape labor supply responses is missing. This paper helps fill this gap and quantifies the role of information frictions versus other frictions by combining notches in the Norwegian welfare system and quasi-experimental variation in access to information about the slope and location of kinks. While we estimate a frictionless elasticity of 0.3, overall frictions attenuate this elasticity by about 70 percent. We find the information letter increased the earnings elasticity from 0.06 to 0.15, implying that information frictions account for at least 30 percent of total attenuation.

Analysis of transcriptional and epigenomic changes in the hippocampus of a mouse model of Alzheimer’s disease shows that immune function genes and regulatory regions are upregulated, whereas genes and regulatory regions involved in synaptic plasticity, learning and memory are downregulated; genetic variants associated with Alzheimer’s disease are only enriched in orthologues of upregulated immune regions, suggesting that dysregulation of immune processes may underlie Alzheimer’s disease predisposition. Immune basis of Alzheimer's disease Recent genome-wide association studies have shown substantial genetic variation in non-coding regions associated with Alzheimer's disease, suggesting the involvement of aberrant gene regulation. However, the functional significance of these variants remained unclear. By profiling transcriptional and chromatin state dynamics in a mouse model, Elizabeta Gjoneska and colleagues now show that the immune response genes and their regulatory regions are upregulated, whereas those involved in synaptic plasticity and learning and memory are downregulated. These changes are highly conserved between the mouse model and the human disease. Surprisingly, Alzheimer's disease-associated genetic variants are mainly enriched in higher-activity, immune-related enhancers, and are depleted in lower-activity, neural enhancers. This suggests that genetic predisposition to Alzheimer's may be primarily associated with immune functions, while neuronal plasticity may be affected primarily by non-genetic effects. Alzheimer’s disease (AD) is a severe 1 age-related neurodegenerative disorder characterized by accumulation of amyloid-β plaques and neurofibrillary tangles, synaptic and neuronal loss, and cognitive decline. Several genes have been implicated in AD, but chromatin state alterations during neurodegeneration remain uncharacterized. Here we profile transcriptional and chromatin state dynamics across early and late pathology in the hippocampus of an inducible mouse model of AD-like neurodegeneration. We find a coordinated downregulation of synaptic plasticity genes and regulatory regions, and upregulation of immune response genes and regulatory regions, which are targeted by factors that belong to the ETS family of transcriptional regulators, including PU.1. Human regions orthologous to increasing-level enhancers show immune-cell-specific enhancer signatures as well as immune cell expression quantitative trait loci, while decreasing-level enhancer orthologues show fetal-brain-specific enhancer activity. Notably, AD-associated genetic variants are specifically enriched in increasing-level enhancer orthologues, implicating immune processes in AD predisposition. Indeed, increasing enhancers overlap known AD loci lacking protein-altering variants, and implicate additional loci that do not reach genome-wide significance. Our results reveal new insights into the mechanisms of neurodegeneration and establish the mouse as a useful model for functional studies of AD regulatory regions.

Plasma-based accelerators use the strong electromagnetic fields that can be supported by plasmas to accelerate charged particles to high energies. Accelerating field structures in plasma can be generated by powerful laser pulses or charged particle beams. This research field has recently transitioned from involving a few small-scale efforts to the development of national and international networks of scientists supported by substantial investment in large-scale research infrastructure. In this New Journal of Physics 2020 Plasma Accelerator Roadmap, perspectives from experts in this field provide a summary overview of the field and insights into the research needs and developments for an international audience of scientists, including graduate students and researchers entering the field.