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Different types of science definitions (conceptual, descriptive and prescriptive) and their relation to the different philosophies of science are discussed. It is argued that science must involve a search for consensus, and that this is a possible line of demarcation between science and non-science. To illustrate this, the plurality of approaches found in the humanities and social sciences is explored. It is suggested that human activities with the ambition to produce and/or give out knowledge about the world can at least be placed on a spectrum from the most scientific to the least. It is further discussed what it means to be ‘scientific’, and marks of good science are outlined: repeatability, transparency, objectivity, parsimony, the willingness to test and abandon hypotheses, and a non-authoritarian approach to knowledge. Scientists can sometimes behave in a less than perfectly scientific way, and non-scientists may behave scientifically to some extent, and non-science can thus have scientific aspects (or not). Science can only work if there is a web of trust, aided by supportive and safeguarding systems, setting the stage for the upcoming chapters on science in practice.
Populations of Paracentrotus lividus have been widely studied across their geographic range due to their key role as herbivores capable of transforming benthic communities. However, no comprehensive population assessment had previously been conducted in the Canary Islands. We carried out an extensive survey between 2006 and 2009 across five islands and the northern islets of Lanzarote, sampling both intertidal and subtidal habitats. Sea urchin abundance, algal composition, and physical variables were recorded to identify spatial patterns in population distribution. Macroalgal assemblages were grouped into functional categories: turf, Lobophora, brown erect algae, red bushy algae, and crustose corallines. Lobophora showed a strong negative relationship with P. lividus abundance, whereas brown erect algae were associated with the highest sea urchin densities. Island identity emerged as a major structuring factor, particularly in the subtidal, revealing a clear archipelagic gradient: populations were nearly absent in the westernmost island (El Hierro) and progressively more abundant toward the eastern islands. Wave exposure also significantly influenced abundance and size structure, although effects differed between habitats. In subtidal zones, P. lividus was more abundant in exposed areas, whereas intertidal densities peaked at intermediate exposure levels. At smaller spatial scales, substrates characterized by higher structural complexity and porosity supported greater sea urchin abundance. By integrating environmental drivers across spatial scales, this study highlights the combined influence of habitat structure, algal composition, and hydrodynamic conditions in shaping P. lividus distribution, providing a baseline for future management and conservation strategies in oceanic island systems.
In this study, experimental deep reinforcement learning (DRL) control of a supersonic cavity flow is conducted for the first time at Mach 2, with the aim of mixing enhancement. A 4 $\times$ 5 pulsed-arc plasma actuator (PAPA) matrix with independently controlled columns and a supersonic hot-wire probe placed at the cavity midline serve as the flow disturber and state observer, respectively. The control law parametrised by a radial basis function network is executed on a field-programmable gate array at 5 kHz loop frequency. Results show that DRL is capable of finding a converged closed-loop control law in less than 10 s, and the resulting cavity velocity fluctuation is three times higher than periodic open-loop control. The control benefits earned by DRL increase with the number of activated columns, yet reduce with the cavity back-wall inclination angle. Using the same number of actuator columns, variable-formation actuation mode allows the DRL to find a more effective control with much less actuator power consumption, when compared with fixed-formation actuation mode. The final control law obtained by DRL can be interpreted as a threshold control conditional on the location of the state vector, and the improvement of total reward is ascribed to both the elevation of occurrence probabilities of high-reward clusters and the ubiquitous increase of the reward expectation at each cluster. Physically, mixing enhancement in the cavity flow is traced back to the thermal bulbs and shock waves produced by the PAPA, which induce a meandering motion of the shear layer.
This chapter introduces the view of science as an inherently social activity, where scientific knowledge must be public and consensible. A short piece of fiction illustrates this view and how science actually works today, within academia. Building on this story, a summary is made of what we have learnt from previous chapters and what it means for the ‘line of demarcation’ between science and non-science, and then John Ziman’s ideas about science as public knowledge and the crucial role of publications in science are introduced. Ziman’s interpretation of science as the search for a consensus of rational opinion among all competent researchers, and its relation to scientific institutions and to philosophy of science, is scrutinised in some detail.
Science is invariably based on some sort of data collection and further treatment of the data gathered. Data can come from pure observations, from structured observations (‘natural experiments’) or from experiments. The central importance of models in science is mentioned. It is discussed how the choice of statistics reflects the philosophy of science adopted by the scientist. Different research programmes use different statistics, in particular, depending on when and how they deal with variation. The relationship between falsificationism and the rejection of null hypotheses as a workaround for the Duhem-Quine thesis is discussed, as well as the role of significance thresholds and their associated problems. It is argued that predicted results are more reliable than chance findings. The pros and cons of having alternative hypotheses are discussed, and a short introduction to Bayesian statistics as an alternative to frequentist approaches is given. Systematic reviews and metaanalyses of data from several studies are introduced, and an example is given on how different types of evidence from many studies are combined to form the current consensus of rational opinion regarding a particular hypothesis.
Drylands account for a disproportionate share of the world’s armed conflicts, a pattern frequently interpreted through the lens of resource scarcity – where climate change and water stress are seen as primary drivers of violence. While this framing underscores critical environmental pressures, it risks simplifying the complex social, ecological and political realities of these regions. This article critically examines the climate-conflict narrative surrounding Syria, which posits that drought-induced agricultural collapse and rural outmigration significantly contributed to the onset of civil war. Building on this critique, the paper advocates for a broader conceptual shift – viewing drylands not solely as zones of vulnerability, but as landscapes of endurance. In these regions, communities often navigate both extreme climatic conditions and chronic insecurity, which together constrain agricultural productivity and perpetuate poverty. This perspective highlights the adaptive capacities of dryland populations and the lessons they offer for understanding survival under compound stress. It also challenges dominant narratives and opens space for interdisciplinary approaches that integrate quantitative and qualitative perspectives. The article calls for a more nuanced research agenda that centers lived experience, long-term adaptation and the interplay between environmental and political pressures.
Achieving net-zero energy systems requires combining technological deployment with governance innovations that secure public legitimacy, equity and international credibility. Nuclear energy – including large reactors and emerging small modular reactors (SMRs) – offers firm, low-carbon power that can complement variable renewables, but expansion is constrained by public distrust, governance fragmentation, workforce challenges and concerns about cost and waste. This article advances the Qudrat-Ullah Nuclear Peace and Trust (Q-NPT) framework as a systemic governance approach that explicitly embeds trust, equity and institutional learning into nuclear energy deployment strategies, aligning nuclear investments with energy transition objectives. Using Canada as a detailed case, we map Q-NPT elements onto Canadian governance structures, energy infrastructure and nascent SMR programs. Empirical material (national generation shares, regulatory milestones, SMR licensing progress and workforce trends) shows both the opportunity and the governance barriers Canada faces.
This study introduces measurable governance metrics – covering trust, equity, transparency, participation and institutional capacity – to evaluate nuclear social legitimacy and transition readiness. Quantitative thresholds include targeted increases of ≥20 percentage points in public trust; ≥25% Indigenous participation in decision processes; ≥80–90% transparency in project documentation and a workforce pipeline of 75,000–90,000 skilled workers by 2040. These thresholds provide a predictive, results-oriented basis for evaluating governance progress, addressing a key gap in existing nuclear policy frameworks.
We propose actionable institutional reforms (independent trust panels, stakeholder engagement protocols, workforce pipelines and international integration strategies) and an operational roadmap for Q-NPT implementation. Results indicate that applying Q-NPT measurably improves governance performance compared to conventional models by elevating trust, reducing procedural conflict, strengthening equity outcomes and accelerating regulatory acceptance. Without such deliberate trust-building and equity mechanisms, nuclear energy’s technical potential will remain underutilized; conversely, Q-NPT provides a structured pathway for achieving just, credible and scalable decarbonization.
The reduction of anthropogenic methane emissions is a priority due to its potent global warming potential. Radiocarbon (14C) can distinguish between methane from natural biogenic and fossil fuel sources, however, the analysis of methane 14C by conventional accelerator mass spectrometry (AMS) techniques is demanding. At SUERC, a prototype positive ion mass spectrometer (PIMS) is set up to directly analyze 14C in methane with minimal sample preparation. Methane gas was mixed with a stoichiometric amount of oxygen in an open split and admitted directly into the source. A series of modern, blank and unknown methane samples were clearly distinguishable by their 14C/13C raw ratios. The collision cell gas flowrate was then increased to lower the limit of detection. We obtained a corrected 14C/13C raw ratio of less than 2 × 10–13 for blank fossil methane which corresponds to a radiocarbon age greater than 50 kyr. Modern biogenic methane had a measured 14C/13C raw ratio approaching 1 × 10–10 which is consistent with the nominal value of contemporary atmospheric methane. These first results indicate that PIMS has the potential to be a valuable new analytical technique for screening the 14C content of biogas and in climate research studies.
The Nerja Cave is a key archaeological site in the Southern Iberian Peninsula. It was inhabited by humans from the Upper Palaeolithic until recent Prehistory (30 and 3.7 ka cal BP). Various excavation campaigns performed in its external chambers (Vestíbulo, Mina and Torca) have recovered evidence of its use as habitat and burial site. Multiple studies on these matters have been published, but, until now, no Bayesian chronological modeling that utilized radiocarbon dates of the three chambers has been performed. To do so, all the available radiocarbon dates and stratigraphic and archaeological data have been compiled. These comprehend ample and diverse information about which, firstly, individual phase models based on the stratigraphic sequence of each one of the chambers have been created. After critically evaluating the results for each of the chambers, a general phase model for the prehistoric occupation of the external chambers has been created considering the cultural adscription of the samples. This has enabled the identification of 11 phases which correspond to the different technocomplexes of the Gravettian, Solutrean, Magdalenian, Epipalaeolithic, Mesolithic, Neolithic and Chalcolithic. Still pending are the refinement and improvement of the model for the Neolithic horizon among other phases of the sequence. The individual and the general models have evidenced important differences between the different archaeological phases in radiocarbon information as well as in the occupation of the three chambers.
Direct numerical simulation (DNS) of temporally developing natural convection boundary layers is conducted at $ \textit{Pr} =4.16$ and $ \textit{Pr} =6$. Results are compared with an existing DNS dataset for $ \textit{Pr} =0.71$ (Ke et al. J. Fluid Mech. 964, 2023, p. A24) to enable a direct assessment of Prandtl number effects across the range $0.71\leqslant \textit{Pr} \leqslant 6$. The analysis reveals that the $ \textit{Pr}$ affects the flow through buoyancy forcing, which acts not only as the driving force but also modulates the local shear distribution via coupling with the momentum equation, thereby shifting the onset Rayleigh number of transition from the laminar regime. This transition is found to be characterised by the thermal boundary layer thickness $\delta _\theta$, which provides a robust prediction of the critical Rayleigh number across $ \textit{Pr}$, indicating a buoyancy instability consistent with the stability analysis (Ke et al. J. Fluid Mech. 988, 2024, p. A44; Ke et al. Intl J. Heat Mass Transfer 241, 2025, p. 126670). Further analysis in the turbulent regime suggests that while heat transfer becomes effectively independent of $ \textit{Pr}$, the near-wall turbulence structure remains sensitive to $ \textit{Pr}$ due to persistent buoyancy effects. The skin friction coefficient scaling shows clear transition from a linear scaling with the bulk Reynolds number in the weakly turbulent regime to a log-law-type scaling with the bulk Reynolds number in the ultimate turbulent regime (Grossmann & Lohse J. Fluid Mech. 407, 2000, pp. 27–56). The premultiplied velocity spectra confirms the development of near-wall streaks that are characteristic of canonical shear-driven turbulence in this ultimate turbulent regime, with their spanwise spacing systematically broadening with increasing $ \textit{Pr}$ due to persistent buoyancy effects; while the spectral signature of the outer plume-like region appears largely $ \textit{Pr}$-independent.
A database of ca. 970 radiocarbon dates on bones, teeth, and tusks of the woolly mammoth (Mammuthus primigenius Blum.) from Siberia was created in order to understand the spatiotemporal distribution of this species over the last 50,000 14C years (BP). Mammoths populated all parts of Siberia until ca. 12,000 BP. After that, a few refugia exited south of ca. 60°N at ca. 10,600–12,000 BP, and in the northern part of mainland Siberia mammoths survived until ca. 9700 BP. At ca. 9500–3700 BP, they existed only in today’s insular regions such as the New Siberian Islands and Wrangel Island in the High Arctic. The relationship between the dynamics of mammoth populations and climatic fluctuations is complicated. In the warmer intervals (interstadials), the number of mammoths in Siberia was generally slightly larger than in the colder times (stadials); however, the difference is often not significant. The connection between the dynamics of mammoth populations and climatic fluctuations in Siberia is therefore complicated and non-linear.
Climate clubs are small coalitions of countries that focus on a broad range of priorities related to mitigation. In theory, these smaller initiatives can overcome the intractable challenges of global environmental governance. However, there is little discussion about the influence of geopolitics in the development of climate clubs, as the field is dominated by economic studies. This article provides an overview of the impact of geopolitics on the formation of climate clubs. It undertakes a case study on the Mineral Security Partnership to highlight the key implications of climate clubs for environmental governance.
Technical Summary
Climate clubs are set to become important mechanisms for environmental governance. Scholarship on climate clubs proposes that small coalitions of countries can overcome some of the key challenges of global climate agreements. While these studies provide important insights, they are largely removed from discourses on geopolitics. This research gap is alarming as the mutual constitution between geopolitics and climate clubs is likely to have important implications for global environmental governance, particularly in the context of escalating competition over critical minerals.
This article aims to provide a geopolitical context to climate clubs. Firstly, literature on the International Relations of the Anthropocene is used to conceptualise climate clubs as an outcome and driver of geopolitics. Secondly, a case study on the Mineral Security Partnership is undertaken to illustrate the theoretical propositions. In the third step, the results of the case study are used to discuss the key implications of climate clubs for environmental governance.
The findings of this research suggest that the current international system has facilitated the development of climate clubs that are explicitly driven by geopolitical imperatives. The article contributes to environmental policy by proposing that the exclusionary and elitist characteristics of climate clubs can undermine global environmental governance.
Social Media Summary
Climate clubs are driven by geopolitical competition as much as they are by environmental cooperation.
We investigated the influence of the slip velocity on particle migration in viscoelastic microchannel flows using a hybrid computational approach that coupled the lattice Boltzmann method with coarse-grained molecular dynamics. Our results demonstrate that the slip velocity changes lateral migration mechanisms by affecting the balance of inertial and elastic lift forces. In Newtonian fluids, forward slip drives particles toward the channel walls due to dominant inertial lift, while backward slip promotes migration toward the channel centreline. In viscoelastic fluids, however, slip-induced elastic lift forces arising from asymmetric polymer deformation around particles exceed inertial effects by an order of magnitude. This leads to a complete reversal of migration behaviour. We established that elastic lift scales linearly with the slip velocity and the block ratio, consistent with theoretical predictions, while polymer chain length influences elastic lift through a power-law dependence ($F_{e,s}^*\sim M^{1.66}$). These findings reveal that viscoelasticity-mediated slip effects provide a robust mechanism for particle manipulation in complex fluids. By connecting the microscopic polymer dynamics to macroscopic transport phenomena, our work offers new design principles for particle sorting and focusing applications in microfluidic systems.