Despite a long history of research on democratic backsliding, the process itself − in which the executive branch amasses power and undermines democratic processes and institutions − remains poorly understood. We seek to shed light on the underlying mechanisms by studying democratic near misses: cases in which a period of autocratic governance is quickly reversed or full backsliding is prevented at the last minute. Building on the literature on near misses in sociotechnical systems such as nuclear power plants, we adapt the drift-to-danger model to the study of democratic systems. Two key findings emerge: First, democratic backsliding is often triggered by political elites pushing the boundaries of their power by violating norms, which are crucial yet vulnerable safeguards for democracy. Second, democratic backsliding is unpredictable and non-linear, being driven by the interaction between political elites and the public. Norm-violating elites may feel legitimized by a supportive public that sees norm violations as justified. At the same time, political elites may signal that norm-violating behaviour is acceptable, potentially leading the public to adopt anti-democratic beliefs and behaviours. We identify risk factors that make norm violations more likely and outline behavioural sciences-based interventions to address these violations.

Graph theory, a branch of mathematics that focuses on the study of graphs (networks of nodes and edges), provides a robust framework for analysing the structural and functional properties of biomolecules. By leveraging molecular dynamics (MD) simulations, atoms or groups of atoms can be represented as nodes, while their dynamic interactions are depicted as edges. This network-based approach facilitates the characterization of properties such as connectivity, centrality, and modularity, which are essential for understanding the behaviour of molecular systems. This review details the application and development of graph theory-based models in studying biomolecular systems. We introduce key concepts in graph theory and demonstrate their practical applications, illustrating how innovative graph theory approaches can be employed to design biomolecular systems with enhanced functionality. Specifically, we explore the integration of graph theoretical methods with MD simulations to gain deeper insights into complex biological phenomena, such as allosteric regulation, conformational dynamics, and catalytic functions. Ultimately, graph theory has proven to be a powerful tool in the field of molecular dynamics, offering valuable insights into the structural properties, dynamics, and interactions of molecular systems. This review establishes a foundation for using graph theory in molecular design and engineering, highlighting its potential to transform the field and drive advancements in the understanding and manipulation of biomolecular systems.

Indoor air pollution is one of the leading causes of morbidity and mortality worldwide, but its sources and impacts are largely misunderstood by the public. In a randomised controlled trial including 281 households in France, we test two interventions aimed at changing indoor polluting behaviour by raising households’ awareness of health risks associated with indoor air pollution. While both generic and personalised information increased knowledge, only personalised information including social comparison feedback changed behaviour, leading to a reduction of indoor PM2.5 (particulate matter with an aerodynamic diameter ≤2.5 µm) emissions by 20% on average. Heterogeneous treatment effects show that this effect is concentrated on the most polluted households at baseline, for whom the reduction reaches 40%.

The classical language switching paradigm using arbitrary cues to indicate the language to speak in has revealed switching between languages comes at a cost (i.e., switch cost) and makes one slower in the first than in the second language (i.e., reversed language dominance). However, arbitrary cues can create artificial requirements not present during everyday language interactions. Therefore, we investigated whether simulating elements of real-life conversations with question cues (‘Co?’ versus ‘What?’) facilitates language switching in comparison to the classical paradigm (Experiment 1: red versus blue outline; Experiments 2 and 3: low versus high tone). We revealed a dissociation between the two indices of language control: (1) question cues, compared to arbitrary cues, reduced switch costs but (2) did not modulate (in Experiment 1) or increase the reversed language dominance (Experiments 2 and 3). We propose that this conversational switching paradigm could be used as a conceptually more ‘true’ measure of language control.

The research aims to reconstruct a transnational history of Finn Malmgren’s contribution to the exploration of the Arctic, with a specific focus on the polar air expeditions of Norge (1926) and Italia (1928). The analysis of archive sources consulted in Italy, Norway, and Sweden sheds light on some key aspects of these two expeditions. In particular, the study of numerous unpublished documents – from the correspondence with personalities such as Umberto Nobile and Anna Nordenskjöld to the contemporary testimonies of Adalberto Mariano and Filippo Zappi – offers new insights into issues such as the international meteorological cooperation during the preparation of the Norge expedition and the march on the pack of Malmgren, Mariano and Zappi.

A limitation in fine-tuned tree-ring radiocarbon (14C) data is normally associated with overall data uncertainty. Tree-ring 14C data variance as a result of sample heterogeneity can be reduced by adopting best practices at the time of sample collection and subsequent preparation and analysis. Variance-reduction of 14C data was achieved by meticulous sample handling during increment core or cross-sectional cuttings, in-laboratory wood reductions, and cellulose fiber homogenization of whole rings. To demonstrate the performance of those procedures to final 14C results, we took advantage of the replicated data from assigned calendar years of two Pantropical post-1950 AD tree-ring 14C reconstructions. Two Cedrela fissilis Vell. trees spaced 22.5 km apart, and two trees of this species together with one Peltogyne paniculata Benth tree spaced 0.2 to 5 km apart were sampled in a tropical dry and moist forest, respectively. Replicate 14C data were then obtained from grouped tree-ring samples from each site. A total of 88% of the replicated 14C results fell into a remarkably consistent precision/accuracy range of 0.3% or less, even though multiple tree species were used as pairs/sets. This finding illustrates how adopting a few simple strategies, in tandem with already established chemical extraction procedures and high-precision 14C analysis, can improve 14C data results of tropical trees.

This article examines the unexpected revival of Rodina (Motherland), a nationalist party that had been suppressed in 2006 for its embrace of “orangist,” anti-Putin politics. Five years later, Rodina was relaunched in response to the crisis of the Medvedev–Putin “tandemocracy.” This article shows that Rodina played a central role in the Kremlin’s “managed nationalism,” which sought to direct the energies of Russian nationalists into loyalist channels. In particular, it illuminates three ways that Rodina facilitated collaboration between nationalists and the regime. First, it helped to integrate nationalists into the All-Russia Popular Front, the umbrella structure that was created as a vehicle for Putin’s return to the presidency. Second, it served as a counterrevolutionary force by drawing nationalists from the “white ribbon” protest movement into two Kremlin-supported initiatives: the “conservative turn” and a media campaign against non-Slavic immigration. And third, it acted as a proxy for the Russian state during the annexation of Crimea and the conflict in southeast Ukraine, recruiting nationalists to serve as separatists and cultivating the support of European radical nationalists. In these three ways, Rodina contributed both to Russia’s autocratization and to the growing influence of nationalist ideas in public discourse.

Alexandrov’s estimate states that if $\Omega $ is a bounded open convex domain in $\mathbb {R}^n$ and $u:\bar \Omega \to \mathbb {R}$ is a convex solution of the Monge-Ampère equation $\det D^2 u = f$ that vanishes on $\partial \Omega $, then

$$\begin{align*}|u(x) - u(y)| \le \omega(|x-y|)(\int_\Omega f)^{1/n} \qquad \text{for }\omega(\delta) = C_n\,\text{diam}(\Omega)^{\frac{n-1}n} \delta^{1/n}. \end{align*}$$

$\partial \Omega $

$0$

$\omega (\delta )$

$C_\Omega \delta ^{\frac 12 + \frac 1{2n}}$

$C_\Omega $

$n=2$

$n\ge 3$

$\partial \Omega $

$C^2$

$\omega _\Omega (\delta )$

$\delta \to 0$

$\omega _\Omega $

$\partial \Omega $

$\omega _\Omega (\delta ) = o(\delta ^{1/n})$

$\delta \to 0$

$\omega _\Omega (\delta ) \le C \delta ^\alpha $

$\alpha>1/n$

Coastlines worldwide are coming under increasing pressure due to climate change and human activity. Data on shoreline change are essential for coastal managers and when no long-term monitoring programs are implemented and shoreline change is typically on the order of less than 1 m/yr., as observed in Ireland, aerial photography is the most valuable source of information. A well-established literature exists for automated vegetation extraction from digital images based on the near infrared reflectance, but there is less research available on spectrally limited colour photography. This study develops a methodology for automating vegetation line extraction from a series of historical aerial photography of the Cork coastline in the South-West of Ireland. The approach relies on the Normalised Green–Blue Difference Index (NGBDI), which is versatile enough to discriminate disparate coastal vegetation environments, at different resolutions and in various lighting and seasonal conditions. An iterative optimal threshold process and the use of LiDAR ancillary datasets resulted in an automated vegetation line measurement with uncertainties estimated to be between 0.6 and 1.2 m. Change rates derived from the vegetation lines extracted present uncertainties in the range of ±0.27 m/yr. This robust and repeatable method provides a valuable alternative to time-consuming and subjective manual digitisation.

To any free group automorphism, we associate a universal (cone of) limit tree(s) with three defining properties: first, the tree has a minimal isometric action of the free group with trivial arc stabilizers; second, there is a unique expanding dilation of the tree that represents the free group automorphism; and finally, the loxodromic elements are exactly the elements that weakly limit to dominating attracting laminations under forward iteration by the automorphism. So the action on the tree detects the automorphism’s dominating exponential dynamics.

As a corollary, our previously constructed limit pretree that detects the exponential dynamics is canonical. We also characterize all very small trees that admit an expanding homothety representing a given automorphism. In the appendix, we prove a variation of Feighn–Handel’s recognition theorem for atoroidal outer automorphisms.

Operetta, with its well-structured production systems, constituted a dynamic sphere of activity that stretched across Unified Italy. This activity was rarely acknowledged by the representatives of so-called ‘high culture’, even as it stimulated the growth of the social structures that would later give rise to cinema and other forms of mass entertainment. Though in recent years scholars have focused on the foreign influences on light music theatre in Italy in the years following Italian unification, little attention has been bestowed on Italian operetta. This article concentrates on the origins of this genre, offering a detailed analysis of the dialect theatre tradition from which the first French-style operetta productions in Italy emerged. Specifically, I examine the urban contexts of Milan and above all Rome, a city of crucial importance in the diffusion of operetta in dialect, whose highly local (even parochial) connotations would exert a significant influence on the formal, social and cultural evolution of operetta right up to the turn of the century.

Cable-driven exosuits have the potential to support individuals with motor disabilities across the continuum of care. When supporting a limb with a cable, force sensors are often used to measure tension. However, force sensors add cost, complexity, and distal components. This paper presents a design and control approach to remove the force sensor from an upper limb cable-driven exosuit. A mechanical design for the exosuit was developed to maximize passive transparency. Then, a data-driven friction identification was conducted on a mannequin test bench to design a model-based tension controller. Seventeen healthy participants raised and lowered their right arms to evaluate tension tracking, movement quality, and muscular effort. Questionnaires on discomfort, physical exertion, and fatigue were collected. The proposed strategy allowed tracking the desired assistive torque with a root mean square error of 0.71 Nm (18%) at 50% gravity support. During the raising phase, the electromyography signals of the anterior deltoid, trapezius, and pectoralis major were reduced on average compared to the no-suit condition by 30, 38, and 38%, respectively. The posterior deltoid activity was increased by 32% during lowering. Position tracking was not significantly altered, whereas movement smoothness significantly decreased. This work demonstrates the feasibility and effectiveness of removing the force sensor from a cable-driven exosuit. A significant increase in discomfort in the lower neck and right shoulder indicated that the ergonomics of the suit could be improved. Overall this work paves the way toward simpler and more affordable exosuits.

Pathological tremors can often be debilitating to activities of daily living and significantly affect the quality of life. Such tremulous movements are commonly observed in wrist flexion-extension (FE). To suppress this tremor we present a wearable robot (WR) with a customized mechanical metamaterial (MM) as the physical human-robot interface (pHRI). The MM is optimized to conform to the user’s wrist posture and follow the hand’s Cartesian trajectory. This is done to minimize the shear between the pHRI and the user’s skin and consequently improve wearability. This WR is then used to effect a viscous tremor suppression using the velocity of the user’s wrist FE. We present a model for the interaction between the WR and the user with which we develop the viscous damping approach for tremor. This is then evaluated in simulation and using a dedicated test bed. This tremor suppression approach demonstrates an attenuation of 20–30 dB at various tremulous frequencies resulting in significantly lower tremor amplitudes due to the viscous damping.

Determining a reliable method to detect life on another planet is an essential first step in the pursuit of discovering extraterrestrial life. Polyhydroxyalkanoates (PHAs), bioplastic polymers created by microorganisms, are strong candidates for defining the presence of extraterrestrial life due to their water insolubility, strong ultraviolet resistance, high melting points and high crystallinity, amongst other qualities. PHAs are abundant on Earth, and their chemical properties can easily be distinguished from non-biological matter. Their widespread distribution and conferred resistance to astrobiologically relevant extreme environments render PHAs highly favourable candidates for astrobiological detection. Integrating detection of PHA biosignatures into current and future life-detection instruments would be useful for the planetary search for life. PHAs are analysed and characterized in laboratories by gas chromatography-mass spectrometry, infrared spectroscopy, Raman spectroscopy and immunoassay analysis in addition to other methods. We outline a path forward to integrate PHA detection in astrobiology missions to aid the search for extraterrestrial life.

In this essay, I explore possibilities for phenomenology beyond Hegel with respect to questions of conscience, guilt, and ethics. In the first section, I briefly introduce Heidegger’s phenomenology. The next section provides an interpretation of conscience in Hegel’s Phenomenology of Spirit. Like Hegel, Heidegger claims that conscience states my guilt prior to any specific wrongdoings; Heidegger’s ideas around the ‘call of conscience’ are thus considered next. Building on differences and connections between Hegel’s and Heidegger’s phenomenologies of conscience, the final section outlines implications for a phenomenologically responsive ethics.