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Violent variability, such as flaring activity, of planet-hosting stars is known to strongly affect prebiotic processes on their planets; therefore, its role in such processes is being extensively studied nowadays. On the contrary, the role of regular variability, such as variability of pulsating stars, has yet been unexplored. In this article, we investigate how large-amplitude variability of pulsating stars may affect the prebiotic evolution on their planets. We show that the RR Lyr type variables are particularly relevant because their lightcurves possess amplitudes, periods, and time profiles that are potentially most suitable to drive prebiotic reactions.
We investigate the inertial migration of slender, axisymmetric, neutrally buoyant filaments in planar Poiseuille flow over a wide range of channel Reynolds numbers (${\textit{Re}}_c \in [0.5, 2000]$). Filaments exhibit complex oscillatory trajectories during tumbling, with the lateral migration velocity strongly coupled to their orientation. Using a singular perturbation approach, we derive a quasi-analytical expression for the migration velocity that captures both instantaneous and period-averaged behaviour. Finite-size effects are incorporated through solid-phase inertia and the influence of fluid inertia on the orientation dynamics. To validate the theory, we develop a fully resolved numerical framework based on the lattice Boltzmann and immersed boundary methods. The theoretical predictions show good agreement with simulation results over a wide range of Reynolds numbers and confinement ratios. Our model outperforms previous theories by providing improved agreement in predicting equilibrium positions across the investigated range of ${\textit{Re}}_c$, particularly at high values. Notably, it captures the inward migration trend toward the channel centreline at high ${\textit{Re}}_c$ and reveals a new dynamics, including the cessation and resumption of tumbling under strong inertial effects. These findings provide a robust foundation for understanding filament migration and guiding inertial microfluidic design.
Three motor sledges were taken on Captain Robert Falcon Scott’s expedition to Antarctica in 1910. They performed poorly, making only small contributions to the polar journey and making no contribution to the expedition’s scientific programme.
The motor sledges have received little attention from historians and researchers. No definitive work has been published. The purpose of this article is to provide an authoritative, reliable and complete history of Scott’s Antarctic motor sledges.
This article studies Belton Hamilton’s concept for a “chain track” vehicle, then traces its development path through two prototype vehicles and two snow trials in Norway. The outcomes of the snow trials and associated recommendations are reviewed. The article then considers Scott’s detailed plans to reach the South Pole and his instructions to the Motor Party in pursuit of that goal. Four major problems that prevented the motor sledges from satisfying Scott’s instructions are identified.
Several conclusions are drawn. It is apparent that the vehicles were flawed from the outset by poor engineering decisions about track design, engine power and carburetion/airflow. It is unlikely that experimentation or minor refinement in the Antarctic would have produced vehicles reliable enough to make a major contribution to the polar journey.
Double-diffusive linear instability of a power-law fluid flow through porous media with various heat source functions is studied with two permeable infinite parallel walls. The energy balance equation accounts for viscous dissipation, and the temperature and concentration on the boundaries are assumed to be isothermal and isosolutal, respectively. After non-dimensionalisation with appropriate scales, the governing equations are subjected to infinitesimal disturbances on the base flow, and are used to study the stability theory. The results obtained revealed that for large and small values of the Péclet number ($\textit{Pe}$), an increasing source function ($Q_{\textit{Is}}$) delays the onset of convective motion by diminishing the vertical temperature gradient and hence suppressing buoyancy, resulting in a higher critical Rayleigh number (${\textit{Ra}}_c$). In contrast, the non-uniform source ($Q_{\textit{Ns}}$) can destabilise the system due to localised heating, which increases buoyancy and favours the growth of perturbations. Generally, increasing Lewis number (${\textit{Le}}$) tends to suppress the instability under opposing buoyancy conditions, whereas in the case of aiding buoyancy, a sufficiently large throughflow can counteract this stabilising effect. Under the influence of viscous dissipation and source parameters, a pseudo-plastic fluid is more stable compared to a dilatant fluid. In convective rolls, when thermal and solutal diffusivities are equal, dilatant fluids exhibit multicellular convection. Under aiding buoyancy, streamlines develop three counter-rotating vortices, whereas under opposing buoyancy, the pattern attains a symmetric structure.
Wall pressure fluctuations (WPFs) over aerodynamic surfaces contribute to the physical origin of noise generation and vibrational loading. Understanding the generation mechanism of WPFs, especially those exhibiting extremely high amplitudes, is important for advancing design and control in practical applications. In this work, we systematically investigate extreme events of WPFs in turbulent boundary layers and the compressibility effects thereon. The compressibility effects, encompassing extrinsic and intrinsic ones, ranging from weak to strong, are achieved by varying Mach numbers and wall temperatures. A series of datasets at moderate Reynolds numbers obtained from direct numerical simulation are analysed. It is found that the intermittency of WPFs depends weakly on extrinsic compressibility effects, whereas intrinsic compressibility effects significantly enhance intermittency at small scales. Coherent structures related to extreme events are identified using volumetric conditional average. Under extrinsic compressibility effects, extreme events are associated with the weak dilatation structures induced by interactions of high- and low-speed motions. When intrinsic compressibility effects dominate, these events are associated with the strong alternating positive and negative dilatation structures embedded in low-speed streaks. Furthermore, Poisson-equation-based pressure decomposition is performed to partition pressure fluctuations into components governed by distinct physical mechanisms. By analysing the proportion of each pressure component in extreme events, it is found that the contributions of the slow pressure and viscous pressure exhibit weak dependence on the compressibility effects, especially the extrinsic ones, and the varying trend of contributions of the rapid pressure with compressibility effects is opposite to that of the compressible pressure component.
Drought forecasting is a critical tool for mitigating the severe impacts of water scarcity, particularly in regions like North Benin, where agriculture is a cornerstone of livelihoods. Despite the vital importance of its accurate prediction in resource management, the ability to quantify uncertainties in forecasts is a significant pain point to enable more informed and trustworthy decision-making. So, this study aims to develop an uncertainty-aware prediction model for drought forecasting in six key localities within the Alibori department—Banikoara, Gogounou, Kandi, Karimama, Malanville, and Segbana—each facing unique challenges due to drought. To achieve this, we conducted a comprehensive experiment involving six machine learning models (linear regression, ridge regression, random forest, Xgboost, LightGBM, and SVM) and four deep learning models (Conv1D, LSTM, GRU, and Conv1D-LSTM) using the Standardized Precipitation Index at a 6-month scale. To address the uncertainty quantification challenge, we employed the Ensemble Batch Prediction Interval, a conformal prediction method specifically designed for time series data. Our comparative analysis, framed within the Borda count methodology, utilized performance metrics such as R2, RMSE, MSE, and carbon footprint, as well as uncertainty quantification metrics, including empirical coverage and the width of prediction intervals. The top-performing models achieved $ {R}^2 $ scores of 98.29, 97.84, 97.76, 97.42, 96.61, and 97.07%, and prediction interval coverages of 0.94, 0.79, 0.93, 0.77, 0.73, and 0.93, respectively, for Banikoara, Gogounou, Malanville, Kandi, Segbana, and Karimama. The Conv1D-LSTM model stood out as the most effective, offering an optimal balance between predictive accuracy and uncertainty coverage.
Aerothermal issues in hypersonic transitional swept shock wave/boundary-layer interactions (SBLIs) are critical for the structural safety of high-speed vehicles but remain poorly understood. In this work, previously scarce, high-resolution heat transfer distributions of the hypersonic transitional swept SBLIs, are obtained from fast-responding temperature-sensitive paint (fast TSP) measurements. A series of $34^\circ$ compression ramps with sweep angles ranging from $0^\circ$ to $45^\circ$ are tested in a Mach 12.1 shock tunnel, with a unit Reynolds number of 3.0 $\times$ 10$^{6}$ m$^{-1}$. The fast TSP provides a global view of the three-dimensional aerothermal effects on the ramps, allowing in-depth analysis on the sweep effects and the symmetry of heat transfer. The time-averaged results reveal that the heat flux peak near reattachment shifts upstream with decreasing amplitude as the sweep angle increases, and a second peak emerges in the $45^\circ$ swept ramp due to a type V shock–shock interaction. Downstream of reattachment, the heat flux streaks induced by Görtler-like vortices weaken with increasing sweep angle, whereas their dominant projected wavelengths show little dependence on sweep angle or spanwise location. Away from the ramp’s leading side, the transition onset of the reattached boundary layer gradually approaches the reattachment point. Finally, a general quasi-conical aerothermal symmetry is identified upstream of reattachment, although spanwise variations in transition onset, shock–shock interaction and heat flux streaks are found to disrupt this symmetry downstream of reattachment with varying degrees.
Marine molluscs are exceptional in Cretaceous ambers. Palaeoellobium decampsi gen. nov., sp. nov. is the first gastropod ever preserved in French uppermost Albian-lowermost Cenomanian opaque amber. It belongs to the Ellobiidae that are distributed in the Cenozoic supralittoral zones in close vicinity of the mangroves. It has been discovered by non-destructive X-ray phase-contrast imaging. The forest of conifers that produced the amber embedding this gastropod did not form its habitat, and it may have been transported to the foreshore detritus. Palaeoellobium decampsi contributes to the understanding of the ellobiid early adaptive radiation known by few taxa, compared with the significant Cenozoic diversification.
The utilization of carbon dioxide (CO2) has garnered significant attention as a strategy to mitigate anthropogenic emissions. Within this field, the conversion processes of CO2 through photocatalytic systems have emerged as a particularly noteworthy area of research. This approach leverages solar energy for the reaction and is considered a promising and environmentally friendly alternative to traditional thermally driven catalytic systems. This article aims to summarize recent advancements in several key photo-conversion pathways, including the synthesis of methane, methanol, C2 hydrocarbons, dimethyl carbonate, and glycerol carbonate. Additionally, potential configurations for the development of processes aimed at producing various chemicals will be proposed. Current insights indicate that the photocatalytic conversion of CO2 could be effectively integrated with chemical absorption methods, provided that appropriate separation and process intensification strategies are developed. From an economic perspective, the photocatalytic reduction of CO2 minimizes the reliance on green hydrogen as a hydrogen source, thereby significantly improving overall economic viability. Environmentally, it is essential to enhance the reaction conversion and product selectivity of the photocatalytic conversion processes to maximize their decarbonization potential. Overall, this paper is particularly suited for readers who are new to this field and are interested in transitioning from experimental work to process development.
This perspective article invites readers to (re)imagine research as a means of practicing right relations with the places we inhabit and descend from. We anchor our work in a Kanaka Hawaiʻi, a Native Hawaiian cosmogeny and epistemology, one that recognizes all life as kin. We begin with the central question, “Where have the sand turtles gone?” to explore how a Kanaka Hawaiʻi-informed perspective, grounded in the genealogical creation chant, ke Kumulipo, can guide plastics research in Hawaiʻi. We elaborate this perspective through a moʻolelo, a story of a collaboration between a Kanaka Hawaiʻi cultural practitioner and a French and Swedish plastics researcher along the shores of Kapua, Waimānalo. By tracing the transformation of a conventional scientific study, we aim to grow entry points for research that is accountable to the place and the genealogical descendants of those specific lands, who have inherited the privilege and responsibility to steward them. We conclude by discussing how this perspective might offer critical insights for global environmental policy, such as the UN Plastic Treaty, urging a shift from treating Indigenous Peoples as stakeholders to honoring them as rights-holders. Ultimately, this work is a call to research in ways that honor the original peoples of the places where we are blessed to live, work, and research, particularly in ways that amplify the knowledge traditions and lifeways birthed from those specific lands. We write this piece for and with Waimānalo as a living, reciprocal co-author. We hope the experiences shared here return to and strengthen those places and people.
Fossils and more recent remains of dead organisms serve as natural archives of Earth’s recent and ancient history. It is often the case that small or fragmented specimens, especially microvertebrate bones, go unstudied. Accurate identification of such remains to a specific taxonomic level can help address a wide range of questions spanning paleontology, paleoecology, zooarchaeology, ecology, conservation science, forensics, and biogeography. Geometric morphometrics demonstrates significant potential for identifying fragmented lizard fossils to at least the family level based on shape differentiation. Our proof-of-concept study using lizard maxillae of extant species within the Pacific Northwest, USA, accurately identified fragmented maxillae with as few as six comparative specimens per genus. These findings establish a framework for addressing taxonomic challenges in fragmented bone specimen identification for taxa whose curated comparative specimens are small in number and unequal in representation.
A new species of Pseudocorax (Lamniformes, Pseudocoracidae), Pseudocorax heteroserratus n. sp., is described from the upper Maastrichtian phosphates of Morocco. This novel taxon is recognized by a large sample of isolated teeth collected from the upper Couche III layer at the Sidi Chennane quarry in the Oulad Abdoun Basin, Khouribga Province, Morocco. P. heteroserratus is differentiated from other Pseudocorax species by bearing a mesiodistally elongated tooth base, broad crown, and highly variable serrations. The variability in number and extent of serrations along the carinae ranges from completely absent to fully serrated and finely to coarsely serrated, raising speculation on broader Pseudocorax phylogenetics and as to whether the genesis of serrations within Pseudocorax occurred in a singular progressive event or rather from two distinct events. The morphological variability within the new species highlights the importance of large sample sizes in selachian odontological studies using isolated teeth.
The modulation of drag through dispersed phases in wall turbulence has been a longstanding focus. This study examines the effects of particle Stokes number ($\textit{St}$) and Froude number ($\textit{Fr}$) on drag modulation in turbulent Taylor–Couette (TC) flow, using a two-way coupled Eulerian–Lagrangian approach with Reynolds number ${\textit{Re}}_i = r_i \omega _i d/\nu$ fixed at 3500. Here, $\textit{St}$ characterises particle inertia relative to the flow time scale, while $\textit{Fr}$ describes the balance between gravitational settling and inertial forces in the flow. For light particles (small $\textit{St}$), drag reduction is observed in the TC system, exhibiting a non-monotonic dependence on $\textit{Fr}$. Specifically, drag reduction initially increases and then decreases with stronger influence of gravitational settling (characterised by inverse of $\textit{Fr}$), indicating the presence of an optimal $\textit{Fr}$ for maximum drag reduction. For heavy particles, a similar non-monotonic trend can also be observed, but significant drag enhancement results at large $\textit{Fr}^{-1}$. We further elucidate the role of settling particles in modulating the flow structure in TC flow by decomposing the advective flux into contributions from coherent Taylor vortices and background turbulent fluctuations. At moderate effects of particle inertia and gravitational settling, particles suppress the coherence of Taylor vortices which markedly reduces angular velocity transport and thus leads to drag reduction. However, with increasing influence of particle inertia and gravitational settling, the flow undergoes abrupt change. Rapidly settling particles disrupt the Taylor vortices, shifting the bulk flow from a vortex-dominated regime to one characterised by particle-induced turbulence. With the dominance of particle-induced turbulence, velocity plumes – initially transported by small-scale Görtler vortices near the cylinder wall and large-scale Taylor vortices in the bulk region – are instead carried into the bulk by turbulent fluctuations driven by the settling particles. As a result, angular velocity transport is enhanced, leading to enhanced drag. These findings offer new insights for tailoring drag in industrial applications involving dispersed phases in wall-bounded turbulent flows.
Antarctic ice-free coastal environments, like the Vestfold Hills (East Antarctica), are shaped by a complex interplay of physical processes. This study synthesizes new data and existing research from the Vestfold Hills across marine, terrestrial and cryosphere science, meteorology, geomorphology, coastal oceanography and hydrology to explore interconnected processes ranging from icescape morphology and sediment transport to ocean-floor scouring and ocean-atmosphere interactions. Coastal landforms and habitats result from the interaction of marine dynamics with the aeolian and fluvial transport of glacially derived sediments and geomorphic features. Rocky shorelines dominate the region, and extensive fjords are prominent coastal features, whereas intertidal sediments and beaches are scarce. The marine environment is characterized by slow currents, low-energy waves, annually variable land-fast ice, irregular sedimentation rates and a geomorphologically complex shoreline. Aeolian and fluvial sediment deposition into coastal waters and onto sea ice can significantly impact local ecological and physical processes. Human activity further modifies these dynamics. Ice-free coastal areas such as the Vestfold Hills are predicted to experience substantial environmental shifts due to climate change. Wind speeds, temperature and precipitation are increasing in the Vestfold Hills. Retreating grounded ice sheets are likely to expand this coastal area and increase meltwater and sediment inputs into nearshore marine systems. Concurrently, changes in sea-ice extent, thickness and/or duration may profoundly alter the structure and function of this coastal environment.
Scientists have developed complex computer models to produce climate simulations. The models produce maps that are depictions of how the world of doubled CO2 in the computer differs from the present-day world. One thing that climate models must do skillfully to get the doubled-CO2 climate right is to simulate the present climate realistically. For example, the effect of CO2 in the polar regions is largely dominated by whether there is ice and snow to melt. If there is, then we get a feedback effect, because when it melts, the darker, newly exposed surface absorbs more sunlight. The main challenge of climate modeling is getting the feedbacks right. At present, we cannot blindly rely on the results of climate models, because we are not sure about the extent or magnitude of the feedbacks. In models, the virtual world warms in response to increasing atmospheric carbon dioxide concentrations. Different models with different treatments of important feedback mechanisms give somewhat different magnitudes for the warming.
Any rational response to climate change involves first knowing what the facts and evidence are. That is the province of science. For example, how do we know the ocean is warming? We now measure the increase in ocean heat content from an array of about 4,000 autonomous floats deployed throughout the world ocean under an international program called Argo. They are programmed to rise and sink by changing their volume. This is accomplished by pumping fluid into or out of a bladder on the float. The floats store the measurements, and then, when they are on the surface, they locate by GPS and transmit the stored data via satellites to scientists. The Argo floats have revolutionized our ability to observe the oceans. Argo data are available to everyone for free in near real time. The science is never complete. There is always more to learn. But the science that we have now is already good enough to help us make wise decisions. “Everybody is entitled to his own opinions, but not to his own facts.” Sound science can inform wise policy.
Climate change is an important existential issue for our time. This book is an anthology of readings about climate change science. The rationale for writing this book is that some universities are now beginning to require all undergraduate students to take an approved climate change course. The book is for students who may lack strong mathematical backgrounds or may not have taken some science courses. It also for the general reader who wants to understand climate change science. The book has no equations and no technical jargon and no complex charts or graphs. Anyone who can read a newspaper can read this book. The book explains how the climate change issue has developed over many decades, how the science has progressed, how diplomacy has proven unable to find a means of limiting global emissions of heat-trapping substances such as carbon dioxide created by burning fossil fuels (coal, oil, and natural gas), and how the forecast of the resulting climate change has become more worrisome.