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This paper explores the role of barodiffusion in the dynamics of gas bubble growth in highly viscous gas-saturated magma subjected to instant decompression. A mathematical model describing the growth of a single isolated bubble is formulated in terms of the modified Rayleigh–Plesset equation coupled with the mass transfer and material balance equations. The model simultaneously takes into account both dynamic and diffusion mechanisms, including the effect of barodiffusion caused by emergence of a large pressure gradient in the liquid, which, in turn, is associated with formation of a diffusion boundary layer around the bubble. An analytical solution of the problem is found, the construction of which is based on the existence of a quasi-stationary state of the bubble growth process. It is shown that barodiffusion manifests itself at the initial and transient stages and under certain conditions can play a paramount role.
This study investigates the accumulation of glycogen, amino acids, and fatty acids in male Mytilus coruscus during different stages of gonadal development and explores their relationships with reproductive processes. Glycogen levels were highest during the resting phase, decreasing progressively during the proliferation and maturation phases. A positive correlation was observed between glycogen and carbon content, indicating a close association between energy storage and metabolic processes. Amino acid content, particularly essential amino acids (EAAs), increased during gonadal development, reflecting the higher demand for protein synthesis and cellular metabolism. Branched-chain amino acids (BCAAs) such as isoleucine, leucine, and lysine were key in activating protein synthesis and supporting gametogenesis. Non-essential amino acids like aspartic acid, glutamic acid, and glycine also accumulate, supporting cellular function and reproductive regulation. Fatty acids, especially unsaturated fatty acids (UFAs) and polyunsaturated fatty acids (PUFAs), progressively accumulated in the testes, highlighting their role in energy supply and membrane integrity during gametogenesis. Phosphorus (P) accumulated in parallel with fatty acids, supporting DNA and RNA synthesis, energy metabolism, and cell membrane function. This study emphasizes the crucial role of these biochemical components in supporting gonadal development in male M. coruscus, providing insights into the metabolic pathways involved in marine bivalve reproduction.
Natural fliers and marine swimmers twist and turn their lifting or control surfaces to manipulate the unsteady forces experienced in air and water. The passive deformation of such surfaces has been investigated by several researchers, but the aspect of controlled deformation has received comparatively less attention. In this paper, we experimentally measure the forces and the flow fields of a flat-plate wing (aspect ratio (AR) = 3), translating at a constant Reynolds number (Re) of 10 000, with a dynamically twisting span. We show that the unsteady forces can be dependably estimated by a three-dimensional discrete vortex model. In this model, we account for the leading-edge separation with the help of the leading-edge-suction parameter. Experiments are conducted for two angles of attack (AoAs), $5^\circ$ and $15^\circ$. In addition, two rates of twisting are implemented where part of the leading edge, closer to the tip region, is twisted away from the incoming flow, increasing the effective AoA. The results show that twisting away from the flow augments the lift forces in all cases, although the rate of increase of lift is higher for the highest twist rate. The act of twisting causes an increase in effective AoA beyond the static stall angle in the AoA $=15^\circ$ case. This is highlighted by a distinct dip in the force data following the initial rise after twisting is activated. The increase in effective AoA from the reference case (without twisting) causes separation of the flow below the mid-span. This, in turn, creates higher levels of vorticity in those regions and results in a leading-edge vortex with increased cross-section and strength when compared with the reference case without twisting. Finally, we apply force partitioning and reveal that dynamic twisting leads to a localised increase in vorticity-induced forces along the twisted part of the span, which is approximately twice that of the untwisted case.
The ecological sciences have historically relied on field stations for long-term observations of specific populations, ecosystems, and even individual animals. Travel reductions due to the COVID-19 pandemic and increasing concerns about the carbon footprint of scientific research, have led to calls for other ways of doing research. Emerging technological trends and the growth of community science have resulted in the increased deployment of livestream cameras set up in ecologically interesting areas all over the world.Methods: One such setup is Coral City Camera, a livestream from a coral reef near Miami, Florida, which attracted a widespread following during the COVID-19 pandemic and spawned a large and diverse community of observers. The associated Facebook group, where videos are shared and discussed has, as of July 16 2023, more than 500 members, and the livestream has been viewed by more than 2.3 million people from all over the world. Using the Coral City Camera livestream and the associated community of observers, we document here a novel ecological interaction: a sharksucker, Echeneis naucrates, repeatedly attached to an individual yellowtail parrotfish, Sparisoma rubripinne, which may have occurred on 94 days within a 283-day time period. If it was indeed the same sharksucker on the same parrotfish, this would be the longest interaction documented between a sharksucker and any host. This observation was only possible due to the nature of this livestreamed underwater video and its associated community of enthusiastic observers, whose observations brought this interaction to the attention of the scientific community. A similar setup could be more widely utilised.
Turbulent flows are strongly chaotic and unpredictable, with a Lyapunov exponent that increases with the Reynolds number. Here, we study the chaoticity of the surface quasi-geostrophic system, a two-dimensional model for geophysical flows that displays a direct cascade similar to that of three-dimensional turbulence. Using high-resolution direct numerical simulations, we investigate the dependence of the Lyapunov exponent on the Reynolds number and find an anomalous scaling exponent larger than that predicted by dimensional arguments. We also study the finite-time fluctuation of the Lyapunov exponent by computing the Cramér function associated with its probability distribution. We find that the Cramér function attains a self-similar form at large $\textit{Re}$.
Halloysite nanotubes (HNTs) face significant challenges in their application due to their aggregation, poor dispersion and high hydrophilicity, which limit their integration into polymer matrices. This study introduces a novel functionalization strategy for Algerian HNTs, targeting their inner and outer surfaces with triethoxy(octyl)silane (OTES) for silanization and caffeic acid (CA) for lumen loading. Comprehensive characterization techniques were used to analyse pristine and OTES-modified HNTs (O-HNTs) and CA-loaded HNTs (CA-HNTs) to evaluate the impacts of both selective agents, which successfully altered the structural, textural, chemical, morphological and thermal HNTs properties. The crystalline structure and changes in crystallite size following surface modification were determined using X-ray diffraction analysis. Brunauer–Emmett–Teller analysis showed that the surface area of O-HNTs increased to 74 m2 g–1 compared to 54 m2 g–1 for HNTs, whereas CA-HNTs experienced a surface area decrease to 42 m2 g–1 owing to pore obstruction, with the pore sizes shifting to 10–12 nm for O-HNTs and to 16 nm for CA-HNTs. Fourier-transform infrared spectroscopy and X-ray fluorescence confirmed effective surface modification through the achievement of successful chemical bonding and a shift in the elemental composition. Morphological analysis using scanning electron microscopy revealed considerable morphological changes in both treatments, and thermogravimetric analysis demonstrated that the thermal stability of HNTs modified with CA was improved, with a higher decomposition peak at 520°C. These modifications effectively improved the dispersion, thermal stability and compatibility of the HNTs, highlighting the potential of the modified Algerian HNTs as promising green nanofillers in polymer nanocomposite applications, such as active packaging and thermal insulation coatings.
This study presents a numerical investigation of wall-mounted tandem flexible plates with unequal lengths in a laminar boundary layer flow, examining both two-dimensional (2-D) and three-dimensional (3-D) configurations. Key parameters influencing the system include the plate’s bending stiffness ($K$), Reynolds number (${Re}$) and length ratio ($L^*$). Five motion modes are identified: dual collapse (DC), flapping collapse (FC), dual flapping (DF), static flapping (SF) and dual static (DS). A phase diagram in the ($K,L^*$) space is constructed to illustrate their regimes. We focus on DF and SF modes, which significantly amplify oscillations in the downstream plate – critical for energy harvesting. These amplification mechanisms are classified into externally driven and self-induced modes, with the self-induced mechanism, which maximises the downstream plate’s amplitude, being the main focus of our study. A rigid–flexible (RF) configuration is introduced by setting the upstream plate as rigid, showing enhanced performance at high ${Re}$, with oscillation amplitudes up to 100 % larger than the isolated flexible (IF) plate configuration. A relation is developed to explain these results, relating oscillation amplitude to trailing-edge velocity, oscillation frequency and chord length. Force analysis reveals that the RF configuration outperforms both IF and flexible–flexible (FF) configurations. Unlike frequency lock-in, the RF configuration exhibits frequency unlocking, following a $-2/3$ scaling law between the Strouhal number ($St$) and ${Re}$. Results from the 3-D RF configuration confirm that the 2-D model remains applicable, with the self-induced amplification mechanism persisting in 3-D scenarios. These findings enhance understanding of fluid–structure interactions, and offer valuable insights for designing efficient energy harvesting systems.
Climate change poses an existential threat, necessitating effective climate policies to enact impactful change. Decisions in this domain are incredibly complex, involving conflicting entities and evidence. In the last decades, policymakers increasingly use simulations and computational methods to guide some of their decisions. Integrated Assessment Models (IAMs) are one of such methods, which combine social, economic, and environmental simulations to forecast potential policy effects. For example, the UN uses outputs of IAMs for their recent Intergovernmental Panel on Climate Change (IPCC) reports. Traditionally these have been solved using recursive equation solvers, but have several shortcomings, e.g. struggling at decision making under uncertainty. Recent preliminary work using Reinforcement Learning (RL) as an alternative to traditional solvers shows promising results in decision making in uncertain and noisy scenarios. We extend on this work by introducing multiple interacting RL agents as a preliminary analysis on modelling the complex interplay of socio-interactions between various stakeholders or nations that drives much of the current climate crisis. Our findings show that cooperative agents in this framework can consistently chart pathways towards more desirable futures in terms of reduced carbon emissions and improved economy. However, upon introducing competition between agents, for instance by using opposing reward functions, desirable climate futures are rarely reached. Modelling competition is key to increased realism in these simulations, as such we employ policy interpretation by visualizing what states lead to more uncertain behavior, to understand algorithm failure. Finally, we highlight the current limitations and avenues for further work to ensure future technology uptake for policy derivation.
Fossil pollen analysis is an “open-world” problem in paleontology for which there is a long-standing need for automated identification and classification. In the open world, categorical classes are imbalanced, test classes are not known a priori, and test data are captured across different domains. Pollen samples capture large numbers of specimens that include both common and abundant types and rare and sometimes novel taxa. Pollen is diverse morphologically and features can be altered during fossilization. Additionally, there is little standardization in the imaging of pollen samples. Therefore, generalized workflows for automated pollen analysis require techniques that are robust to these differences and can work with microscope images. We focus on a critical first step, the initial detection of pollen specimens on a palynological slide and review how existing methods can be employed to build robust and generalizable analysis pipelines. First, we demonstrate how a mixture-of-experts approach—the fusion of a general pollen detector with an expert model trained on minority classes—can be used to address taxonomic biases in detections, particularly the missed detections of rarer pollen types. Second, we demonstrate the efficiency of domain fine-tuning in addressing domain gaps—differences in image magnification and resolution across microscopes and of taxa across different sample sources. Third, we demonstrate the importance of continual learning workflows, which integrate expert feedback, in training detection models from incomplete data. Finally, we demonstrate how cutting-edge segmentation models can be used to refine and clean detections for downstream deep learning classification models.
The fossil record offers important opportunities to reconstruct plant community response to past disturbance events. Yet reconstructions are hindered by limited empirical evidence of successional variation in functional traits measurable on fossil leaves, including leaf morphology and δ13C. In addition, the role the leaf economic spectrum (LES) plays across succession within temperate deciduous forests is unresolved. Finally, it is unclear to what degree disturbance confounds the leaf morphology–climate relationships utilized in paleoclimate proxies.
We utilize a chronosequence spanning forest stands varied by time since logging (4, 21, 44, and 94 years old) and one old-growth stand in North Carolina. Leaf traits of woody non-monocot angiosperm (WNMA) leaves, including all trees and prominent understory plants, were measured to document patterns relating to the LES (e.g., leaf mass per area [LMA]), patterns of leaf morphology and δ13C, and their confounding influence on climatic estimates using the digital leaf physiognomy proxy.
LMA increased across succession among trees, driven by variation in both leaf thickness and leaf density, supporting the role of the LES. The petiole metric (PM), which is biomechanically linked to LMA, increased across succession among trees as hypothesized, as did the proportion of entire-margined leaves and, among tree dominants, leaf margin complexity. Measures of diversity (morphological and species richness, δ13C, and LMA variance) for all WNMAs were often highest in the old-growth stand, reflecting structural and niche complexity, yet peaked in mid-succession among trees, reflecting a mixing of ecological strategies. Other leaf traits had complicated or subtle trends across succession that were difficult to reconcile and tie to function. Changes in leaf morphology across succession did not strongly confound the accuracy of paleoclimate reconstructions. Successional patterns of this study importantly highlight the utility of PM, leaf margin, and leaf morphological richness in interpreting successional dynamics from fossil leaf assemblages sourced from temperate deciduous forests.
This paper considers the propagation, arrest and recession of a planar hydraulic fracture in a porous elastic medium whose footprint is constrained to a growing or shrinking rectangular region with a constant height. Hydraulic fractures with large aspect ratio rectangular footprints are frequently referred to as PKN fractures in recognition of the original researchers (Perkins & Kern 1961 J. Petrol. Tech.13, 937–949) and (Nordgren 1972 J. Petrol Technol.1972, 306–314) who first analyzed models of such fracture geometries. We investigate the one-dimensional non-local PKN approximation to a fully planar rectangular hydraulic fracture model in a three-dimensional elastic medium. By analysing the tip behaviour of the non-local PKN model, a transformation procedure is established to render the asymptotic equations for the dynamics of the steady semi-infinite PKN and plane strain models formally identical, which implies that all the existing multiscale plane strain asymptotes can be converted directly to the PKN case by making use of this transformation. Using this transformation, it is shown that the appropriate PKN asymptotes for the average aperture $\bar {w}$ with distance $\hat {x}$ to the fracture front are $\bar {w}\sim \hat {x}^{1/2},\ \hat {x}^{5/8}\ {\textrm{and}}\, \ \hat {x}^{2/3}$ in the toughness, leak-off and viscous modes of propagation, respectively; as well as the linear elastic fracture mechanics tip asymptote $\bar {w}\sim \hat {x}^{1/2}$ for arrest, which transitions to the linear asymptote tip $\bar {w}\sim \hat {x}$ for a fracture driven to recede due to fluid leak-off. Both the arrest and recession tip asymptotes share the intermediate leak-off asymptote $\bar {w}\sim \hat {x}^{3/4}$. A scaling analysis yields the arrest time, length and aperture as functions of a dimensionless injection-cessation time $\omega$. An asymptotic analysis of the non-local PKN model is used to establish the fundamental decoupling between dynamics and kinematics, which leads to the emergence of a similarity solution – termed the sunset solution – close to the time of collapse of the fracture. The multiscale PKN numerical solutions agree well with those for a fully planar multiscale rectangular hydraulic fracture model in a three-dimensional elastic medium. The scaling laws and the emergence of the sunset solution are confirmed by the PKN numerical model. The sunset solution also emerges in the fully planar numerical model and persists beyond the collapse time of the PKN model, by which time its footprints have separated from the upper and lower constraining sedimentary layer boundaries and have assumed self-similar elliptic shapes that shrink as they approach collapse.
In the rapidly rotating limit, we derive a balanced set of reduced equations governing the strongly nonlinear development of the convective wall-mode instability in the interior of a general container. The model illustrates that wall-mode convection is a multiscale phenomenon where the dynamics of the bulk interior diagnostically determine the small-scale dynamics within Stewartson boundary layers at the sidewalls. The sidewall boundary layers feedback on the interior via a nonlinear lateral heat-flux boundary condition, providing a closed system. Outside the asymptotically thin boundary layer, the convective modes connect to a dynamical interior that maintains scales set by the domain geometry. In many ways, the final system of equations resembles boundary-forced planetary geostrophic baroclinic dynamics coupled with barotropic quasi-geostrophic vorticity. The reduced system contains the results from previous linear instability theory but captured in an elementary fashion, providing a new avenue for investigating wall-mode convection in the strongly nonlinear regime. We also derive the dominant Ekman-flux correction to the onset Rayleigh number for large Taylor number, ${\textit {Ra}} \approx 31.8 \,{\textit{Ta}}^{1/2} - 4.43 \,{\textit{Ta}}^{5/12} + {\mathcal{O}}({\textit{Ta}}^{1/3})$ for no-slip boundaries. However, we find that the linear onset in a finite cylinder differs noticeably compared with a Cartesian channel. We demonstrate some of the reduced model’s nonlinear dynamics with numerical simulations in a cylindrical container.
This study employs a direct numerical simulation method to investigate the wake pattern evolutions of flows past an insulated spheroid and provides expressions of force and torque coefficients influenced by a streamwise magnetic field in an incompressible, conducting, viscous fluid. A total of 1150 cases are examined covering a parameter range of Reynolds number $50 \leqslant \textit{Re} \leqslant 250$, aspect ratio $1.5 \leqslant \beta \leqslant 6$, inclination angle $0^\circ \leqslant \theta \leqslant 90^\circ$, and interaction parameter $0 \leqslant N \leqslant 10$, where $\beta$ and $N$, respectively, reflect the anisotropy of the spheroid and the strength of magnetic field. Nine wake patterns are classified based on wake structure features and summarised in three maps of regimes according to the inclination angle. The transition mechanisms among these wake patterns are also investigated under the influence of a streamwise magnetic field. Furthermore, expressions for drag, lift and torque coefficients are derived with the help of three fundamental physical criteria. Results indicate that the force and torque expressions give a good prediction within the present parameter space $\{\textit{Re}, \beta , \theta , N\}$.
Remotely sensed datasets indicate that Fisher Glacier underwent two surges since 1948: during approximately 1969–72 and 2013–16. These were characterized by an advanced terminus position (terminus-wide average advance 571 ± 143 m from 1963 to 1972 and 868 ± 8 m from 2014 to 2017), intense surface crevassing (up to >30 km up-glacier from the terminus during both surges), high surface velocities and a down-glacier transfer of mass. The intervening quiescent phase lasted for 40 years, during which velocities were generally low (<50 m a−1), but underwent a slow multidecadal increase starting around 1985, spreading from the middle of the glacier. A pre-surge buildup phase beginning around 2008 resulted in velocities of up to ∼200 m a−1. The active phase of the surge initiated in winter 2013/14, with velocities of up to 1500 m a−1 propagating both up- and down-glacier from the mid-glacier region. In July 2016, the surge rapidly terminated within a period of ∼1 month. Characterized by a rapid onset and termination, but also displaying a multidecadal acceleration prior to the surge, the cause of Fisher Glacier’s surges may be best explained by a unifying framework such as the enthalpy balance theory.
In conventional hypersonic wind tunnels, tunnel noise is dominated by acoustic radiation from turbulent nozzle-wall boundary layers, which can directly influence the boundary-layer transition (BLT) over the model in the test section. To offer new insights into BLT in conventional ground facilities, direct numerical simulations (DNS) were performed to simulate the receptivity and transition processes of a Mach 8 boundary layer over a nearly sharp $7^\circ$ half-angle cone, with transition triggered by tunnel-like broadband free-stream acoustic disturbances radiated from the nozzle wall of the Sandia hypersonic wind tunnel at Mach 8 (Sandia HWT-8). The DNS captured all the stages of the transition to turbulence caused by tunnel noise, including the passage of broadband free-stream noise through the shock wave, the receptivity process leading to the generation of Mack’s second-mode waves, their nonlinear growth to saturation, the laminar breakdown to turbulence and the post-transitional, fully turbulent flow. The transition location predicted by DNS compared well with that of Pate’s theory and was also consistent with the locations of peak pressure fluctuations as measured in the Sandia HWT-8 facility. The computed skin friction and Stanton number distributions in the initial breakdown region showed an overshoot compared with the turbulent predictions by the van Driest II theory. The wall-pressure spectra in both the transitional and turbulent regions of the cone compared well with those measured in the Sandia HWT-8. The second-mode breakdown amplitude $A_{max}$ predicted by the DNS was also consistent with sharp-cone measurements from multiple conventional wind tunnels.
The Deerni copper deposit is one of the largest in Qinghai province, China, with proven copper reserves of 0.556 Mt. To explore new copper orebodies, we conducted a geological study at western Deerni focusing on hydrothermal alterations and ore-controlling structures. Field investigation shows that the deposit is hosted mainly within the central segment of the Deerni ophiolite. Additional hosts include Lower-Permian slate, limestone, gabbro and volcanic rock, as well as the contact zone between granite and slate. Such observations indicate that the Deerni copper deposit is not only associated with the ophiolite, but its formation is also controlled by faults. Alterations including serpentinization, carbonatization, silicification and malachite, and magnetite mineralization occurred along fractures within the wall rocks and surrounding strata. This means the alteration post-dated structural activity that affected the Lower Permian strata in the region. The Deerni copper deposit is controlled by the NW-striking faults. This is evidenced by (1) slate fragments and breccias within the orebodies, (2) saw-toothed boundaries between the orebodies and host rocks, (3) copper ore veinlets and (4) striations and step patterns on the orebody surface and hanging-wall-hosted quartz veins. Mineralization controlled by NW-trending faults suggests a major orebody (‘No. 2’) likely extends to either northwest or southeast. Field investigations along with geophysical and geochemical data, thus predicted the presence of concealed copper orebodies in western Deerni. Subsequent drilling projects have verified this prediction and revealed three concealed orebodies with widths of 7.15–13.87 m and Cu grade of 1.00–11.34 wt.%, adding 10,000 tonnes to the copper reserves.