Disinformation is a growing epistemic threat, yet its connection to understanding remains underexplored. In this paper, I argue that understanding – specifically, understanding how things work and why they work the way they do – can, all else being equal, shield individuals from disinformation campaigns. Conversely, a lack of such understanding makes one particularly vulnerable. Drawing on Simion’s (2023) characterization of disinformation as content that has a disposition to generate or increase ignorance, I propose that disinformation frequently exploits a preexisting lack of understanding. I consider an important objection – that since understanding is typically difficult to acquire, we might rely on deferring to experts. However, I argue that in epistemically polluted environments, where expertise is systematically mimicked, deference alone provides no reliable safeguard. I conclude by briefly reflecting on strategies for addressing these challenges, emphasizing both the need for promoting understanding and for cleaning up the epistemic environment.

Automatization is the learning process by which controlled, effortful second language (L2) processing becomes automatic, fast, and effortless through practice – a critical transition for L2 development. Achieving automaticity allows learners to progress from laborious language use to fluent, real-time communication by freeing limited cognitive resources. This research timeline synthesizes four decades of laboratory and classroom research on automatization, bridging cognitive learning theories with pedagogical practice. We trace five key research strands: (1) cognitive mechanisms, including the explicit-implicit knowledge interface; (2) skill development trajectories across phonological, lexical, morphosyntax, and pragmatics domains; (3) instructional approaches promoting automatization of knowledge and skills through deliberate and systematic practice; (4) methodological advances in measuring automaticity (e.g., reaction time, coefficient of variation, neural measures); and (5) individual differences in long-term memory systems (declarative and procedural memory). This timeline offers a comprehensive perspective on how automatization research has significantly advanced our understanding of L2 learning.

The evolution of the temperature and mass balance of first-year (FYI: Site S1) and second-year (SYI: Site S2) land-fast sea ice (LFSI) in May–November were investigated using high-resolution thermistor-string-based ice mass balance buoys, borehole measurements and a numerical sea ice model. In May, the growth rate of a 0.55 m FYI ice floe (9.2 mm day−1) was twice that of 1.08 m SYI (4.7 mm day−1) in snow-free conditions. After snow accumulation on 10 June, the growth slowed down and both reached 3.5 mm day−1 by 20 July. The observed/modelled ice thicknesses were 1.38/1.47 m for S1 (26 November) and 1.70/1.84 m for S2 (30 November). The correlation coefficients between the modelled and observed average ice temperature profiles were 0.8(vertical)/0.9(temporal) for S1 and 0.89/0.97 for S2. SYI had a higher winter cold content (32.78 MJ m−2) than FYI (21.01 MJ m−2). The modelled and observed snow depths were comparable when 50% ERA5 precipitation was used as the forcing. Snow–ice and superimposed ice formation were most sensitive to the precipitation pattern, followed by the initial snow depth and initial ice thickness. The net ice growth of both FYI and SYI were inversely related to the initial ice thickness and snow depth.

Extensive research showcases that authoritarian propaganda can cultivate support and deter protest during “normal” times. This study examines authoritarian propaganda’s efficacy during crises and policy changes when the regime needs it most. We posit that various propaganda strategies, including “hard” and “soft” rhetoric, have significant limitations during crises. Hard propaganda’s heavy-handed slogans could signal regime strength but may also legitimize “rightful resistance” against local authorities, limiting its protest-deterrence effects. Soft propaganda may lose persuasiveness due to presenting contradictory arguments during policy changes. We leverage the turbulent period of China’s COVID policy reversal to conduct an original survey experiment in December 2022. Our findings reveal that pro-reopening hard propaganda weakens its protest-deterrence effects by reinforcing belief in protest righteousness. Moreover, inconsistent soft propaganda lowers public evaluations of China’s COVID response, diminishing its persuasive effects. Our study highlights significant limitations of authoritarian propaganda during crises and policy changes.

From global tourism and free movement to refugees and climate-related displacement, human mobility is both a driver and an effect of what we think of as globalisation. Yet, the role of international law in constituting human mobility remains critically undervalued. In this contribution, we call for a radical rethinking of the role of international law in shaping our globe through the tenets of the mobilities paradigm in the social sciences. More specifically, we argue for the adoption of a mobile ontology of international law, which pits the constant flow of persons, goods and capital against dominant globalisation narratives predicting the end of place to take a focus on re-territorialisations of power. Taking human mobility as our starting point, we first show how mobility has been central to the foundation of key building blocks of international law. Second, we turn to the example of the global tourism regime to explore how law recursively disperses mobility around the world. Third and finally, we argue that the relationship between international law and human mobility is co-constitutive, as constant shifts in mobilities create unexpected effects, which in turn prompt further evolutions in law. We conclude by reflecting on the space for empirical and critical investigation that may open up by re-imaging (international) law as quintessentially mobile.

The systematic investigation of individual glacier surges across a large statistical sample is key to a better understanding of surge mechanisms. This study introduces a consistent framework for identifying glacier surges from diverse remotely sensed datasets: NASA ITS_LIVE velocity fields, glacier thickness changes digital elevation models and surface roughness from SAR backscatter. We combined these diverse datasets using Gaussian process modelling and signal processing approaches to generate the first worldwide inventory of glaciers with active surges between 2000 and 2024, identifying 261 surge events on 246 glaciers. We performed validation against reference data and conducted a quantitative analysis of key surge metrics - surge duration and peak surface velocity. Our results confirm 12 surge-type glaciers in the Randolph Glacier Inventory (v7). We further evaluated climatological influences on the distribution of surge-type glaciers and assessed the predictive capabilities of existing theories for surges, including hydrological and thermal controls as well as the enthalpy balance theory. In addition, we present the first global analysis of velocity time series from individual surge events and discuss terminus-type dependent dynamics. Our findings strongly support the unified enthalpy balance theory in explaining the breadth of observed surge behaviours. Finally, we report new surge onsets in glaciers quiescent since the 19th century.

Wild Mexican sunflower [Tithonia tubaeformis (Jacq.) Cass.] is one of the most important annual weeds for sugarcane (Saccharum spp. hybrid) and, to a lesser extent, for soybean [Glycine max (L.) Merr.] and bean (Phaseolus vulgaris L.) in the northwest of Argentina and some other countries. Currently, its management relies on chemical methods, and no information is available to develop alternative management methods. In the current study, we conducted laboratory germination assays in the presence of different conditions of light, temperature, and phytohormone (gibberellins and abscisic acid) concentrations, as well as fluridone, trinexapac-ethyl (TE), methyl viologen (MV), dry afterripening (DAR), cold stratification, and pericarp scarification. Likewise, a field experiment was carried out to assess the impact of various sugarcane crop residue amounts on seedling emergence. Darkness and constant temperatures (e.g., 20 C) reduced the germination of fresh seeds. The addition of TE, a gibberellic acid inhibitor, and abscisic acid reduced germination. In contrast, the addition of MV increased germination. Pericarp scarification and embryo excision stimulated germination, suggesting that the pericarp acts as a barrier to prevent germination. DAR did not promote germination. On the other hand, cold stratification enabled dormancy release, which in turn promoted germination when the stratified achenes germinated in light and at alternating temperatures of 20/30 C. Field experiments showed that increasing amounts of sugarcane crop residue were useful to reduce weed seedling emergence and biomass, probably by limiting the triggering effect of light and temperature alternation on seedling emergence. These findings provide information about the endogenous control of germination, which can be useful for developing a rational integrated management system for T. tubaeformis.