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Two fourth-order difference approximations for fractional derivatives based on Lubich-type second-order approximation with different shifts are derived. These approximations are applied to the space fractional diffusion equation with the Crank–Nicolson scheme. Here, we analyse the stability and convergence of these schemes and prove that they are unconditionally stable and convergent for a fractional order $\alpha $ ranging from $1$ to $2$. Numerical examples are presented to show that both schemes converge, and we obtain the correct convergence rates and unconditional stability.
A burning droplet in normal gravity inevitably encounters buoyant convection set up by the flame, which can significantly impact its shrinkage kinetics traditionally described by the D2-law. However, the detailed mechanism governing droplet vapourisation under such self-generated flame-driven buoyant convection remains elusive. Here, we present both experimental and theoretical evidence highlighting the critical role of buoyant convection in droplet combustion. Experimentally, we precisely measure the values of the shrinkage exponent n for various liquid fuels, revealing a significant departure from the D2-law. While the measured n values consistently fall within the narrow range 2.6–2.7, they exhibit a slight increase with the fuel’s boiling point. A more general and in-depth theory is also developed to explain such small but systematic variations, revealing that differences in flow and thermal boundary layer structures – arising from varying combustion intensities – may account for the observed trends. Our theory predicts three distinct values of n, namely 2.6, 8/3 ≈ 2.67 and 35/13 ≈ 2.69, successfully capturing slight differences in n among various fuels. This is the first study demonstrating that the shrinkage kinetics in droplet vapourisation driven by flame-induced buoyant convection is nearly universal, determined solely by the underlying transport mechanisms, although these can be significantly altered due to their high susceptibility to detailed fuel chemistry and combustion kinetics. The present theoretical framework not only enables accurate prediction and control of burning droplet behaviour, but also is extendable to analyse more complex combustion processes involving a broader range of fuel types and flow conditions.
The COVID-19 pandemic sent shockwaves throughout the world. Even though the Czech Republic has less stable state structures and a less consolidated party system than its West European counterparts, during the first wave, the country actually performed better than most West European countries in terms of infection rates, death rates, and economic growth. During the second wave, however, the country’s position radically dropped. Despite its increasing health problems, its social policies still performed rather well and managed to keep unemployment at comparatively low levels. How can we explain these differences between erratic performance on the health side and comparatively solid performance on the social policy side? Our study explains why traditional social policies basically remained path dependent, while epidemiological policies dealing directly with fighting the spread of COVID-19 did not. Our explanation combines sociological and rational choice institutionalism and links them with the concepts of repeated games and bounded rationality.
Particles in compressible shear flows experience lifting effects due to asymmetric pressure and viscous forces across the particle surface, rotation induced by asymmetric viscous forces (Magnus effect), and asymmetric compression and viscous effects if near a wall (wall effect). This work focuses on the lifting force on a solid spherical particle due to asymmetric pressure and shear stress distributions driven by density and velocity gradients. We show via direct numerical simulation and verify using scaling arguments that the lifting force in unbounded laminar compressible shear flows is a function of dynamic pressure gradient. We show that steady flow regimes demonstrate predictable lifting forces. Unsteady flow regimes demonstrate asymmetric vortex shedding which creates lift in directions not readily predictable. Thus, predicting lift requires the ability to predict wake structure. We develop approximate delineations between wake types at Reynolds numbers up to 20 000. We use the non-dimensional dynamic pressure gradient, Mach number, Reynolds number and predicted wake structure to develop a shear-induced lift model. The proposed model can be used in conjunction with a drag model to simulate particle motion in compressible shear flow.
The present study focuses on the influence of gas swirl on the spray behaviour from a two-fluid coaxial atomiser with high gas-to-liquid dynamic pressure ratios $M$ by varying both the liquid Reynolds number ${\textit{Re}}_l$ and the gas Weber number ${\textit{We}}_g$. The investigations identify the deviations of the carrier phase velocity fields, droplet distribution, and dispersion when swirl is introduced to the gas phase compared with the non-swirling conditions. The changes in the axial, radial and tangential velocities of the continuous phase due to the introduction of swirl are highlighted while retaining a self-similar behaviour. The slip velocity of the large droplets in swirling sprays is negative, unlike the known positive value for non-swirling sprays. The shape of the radial profiles of the mean drop size is investigated along ${\textit{We}}_g$, notably revealing an inflection point for swirling sprays at high-${\textit{We}}_g$ values. A global assessment of the drop size uncovered that swirl leads to its increase for low $M$ while assisting spray formation at high $M$. Additionally, the radial profiles of axial fluxes for swirling sprays have a wider bell-shaped curve compared with non-swirling sprays at high $M$, unlike the off-centre maxima found for low $M$. However, the mentioned dependencies of drop sizes and fluxes cannot be determined by $M$ solely for intermediate gas-to-liquid momentum ratios ($23\lt M\lt 46$), and vary with ${\textit{Re}}_l$ and ${\textit{We}}_g$. In addition, the response of at least the mean droplets at the edge of the spray to the large gas eddies shows a linear relation with swirl intensity.
Unsteady aerodynamic forces in flapping wings arise from complex, nonlinear flow structures that challenge predictive modelling. In this work, we introduce a data-driven framework that links experimentally observed flow structures to sectional pressure loads on physical grounds. The methodology combines proper orthogonal decomposition and quadratic stochastic estimation (QSE) to model and interpret these forces using phase-resolved velocity fields from particle image velocimetry measurements. The velocity data are decomposed in a wing-fixed frame to isolate dominant flow features, and pressure fields are reconstructed by solving the Poisson equation for incompressible flows. The relationship between velocity and pressure modes is captured through QSE, which accounts for nonlinear interactions and higher-order dynamics. We introduce an uncertainty-based convergence criterion to ensure model robustness. Applied to a flapping airfoil, the method predicts normal and axial forces with less than 6 % average error using only two velocity modes. The resulting model reveals an interpretable underlying mechanism: linear terms in the QSE model the circulatory force linked to the formation of vortices on the wing, while quadratic terms capture the nonlinear component due to added-mass effects and flow–vorticity interactions. This data-driven yet physically grounded approach offers a compact tool for modelling the unsteady aerodynamics in flapping systems with potential to generalise to other problems.
The mission of the Radiation Studies Program (RSP) in the Centers for Disease Control and Prevention, National Center for Environmental Health, is to analyze scientific advances, educate the public, and build public health capacity for all communities in the US to reduce morbidity and mortality from unnecessary exposures to radiation—both in daily life and in the event of a radiation emergency. The program accomplishes these goals by collaborating with national and international partners and supporting scientific advancements in collaboration with national and international organizations.
Since 2001, RSP has developed tools, training, and communication products to prepare and support local, state, tribal, and federal agencies in the US that are engaged in a response to a nuclear or radiological incident. This paper summarizes the latest RSP resources, which were presented during the 17th REMPAN Coordination Meeting in Seoul, South Korea, on September 14, 2023.
We develop a real options model in which an entrepreneur facing ambiguity makes optimal investment and financing decisions for an innovation project. We introduce jumps in innovation returns and model investors’ aversion to ambiguity in both diffusion and jump risks. Debt accelerates investment by lowering the threshold and shortening expected waiting time, thereby increasing project value. This effect strengthens under greater ambiguity, offering a novel rationale for why debt—not equity—fosters innovation. Our results provide a coherent explanation for recent empirical findings on debt’s role in innovation and contribute to the broader literature on investment under uncertainty.
For a perturbed trefoil vortex knot evolving under the Navier–Stokes equations, a sequence of $\nu$-independent times $t_m$ are identified that correspond to a set of scaled, volume-integrated vorticity moments $\nu ^{1/4}\mathcal{O}_{\textit{Vm}}$, with this hierarchy $t_\infty \leqslant \ldots \leqslant t_m\ldots t_1=t_x\approx 40$ and $\mathcal{O}_{\textit{Vm}}=(\int _{V\ell }|\omega |^{2m}\,{\rm d}V)^{1/2m}$. For the volume-integrated enstrophy $Z(t)$, convergence of $\sqrt {\nu }Z(t)=\bigl (\nu ^{1/4}\mathcal{O}_{\textit{V}\text{1}}(t)\bigr )^2$ at $t_x=t_1$ marks the end of reconnection scaling. Physically, reconnection follows from the formation of a double vortex sheet, then a knot, which splits into spirals. Meanwhile $Z$ accelerates, leading to approximate finite-time $\nu$-independent convergence of the energy dissipation rate $\epsilon (t)=\nu Z(t)$ at $t_\epsilon \sim 2t_x$. This is sustained over a finite temporal span of at least $\Delta T_\epsilon \searrow 0.5 t_\epsilon$, giving Reynolds number independent finite-time, temporally integrated dissipation, $\Delta E_\epsilon =\int _{\Delta T_\epsilon }\epsilon \,{\rm d}t$, and thus satisfies one definition for a dissipation anomaly, with enstrophy spectra that are consistent with transient $k^{1/3}$ Lundgren-like inertial scaling over some of the $\Delta T_\epsilon$ time. A critical factor in achieving these temporal convergences is how the computational domain $V_\ell =(2\ell \pi )^3$ is increased as $\ell \sim \nu ^{-1/4}$, for $\ell =2$ to 6, then to $\ell =12$, as $\nu$ decreases. Appendix A shows compatibility with established $(2\pi )^3$ mathematics where $\nu \equiv 0$ Euler solutions bound small $\nu$ Navier–Stokes solutions. Two spans of $\nu$ are considered. Over the first factor of 25 decrease in $\nu$, most of the $\nu ^{1/4}\mathcal{O}_{\textit{Vm}}(t)$ converge to their respective $t_m$. For the next factor of 5 decrease (125 total) in $\nu$, with increased $\ell$ to $\ell =12$, there is initially only convergence of $\nu ^{1/4}\varOmega _{V\infty }(t)$ to $t_\infty$, without convergence for $9\gt m\gt 1$. Nonetheless, there is later $\sqrt {\nu }Z(t)$ convergence at $t_1=t_x$ and $\epsilon (t)=\nu Z$ over $t\sim t_\epsilon \approx 2t_x$.
Turnout appeals are amplified in highly polarized, hotly contested elections like 2020. The political environment included social justice unrest, overt appeals to white male voters, and new voting procedures which resonated differently across intersectional identities. Gender and race politics intertwined to create a charged environment for mobilization and for social pressure to vote. We expect the nature and effectiveness of turnout appeals to have varied by race and gender intersections. In addition, given past behavior and the climate of protest, we expect individuals under 30 were less responsive to social pressures to vote. Using data from the 2020 Collaborative Multiracial Post-Election Survey (CMPS 2020), we examine whether individuals with different intersectional identities varied in their perception of social pressure to vote as well as in the effectiveness of that pressure. We find that voters are sensitive to social pressure appeals, but both perception and responsiveness vary with intersectional identity.
This paper investigates the connection between political settlements and foreign policy in Tanzania, focusing on how domestic power shifts impact external relations. Utilising Political Settlements Analysis (PSA), it examines the transition from John Magufuli’s presidency to Samia Suluhu Hassan’s, uncovering how elite configurations and intra-party dynamics shape foreign policy choices. The analysis draws on fieldwork, interviews and document reviews, revealing how changes in Tanzania’s political settlement – from Magufuli’s centralisation and populism to Hassan’s return to cooperative diplomacy – have influenced policies on resource management, international legal commitments and regional engagement. By illustrating the reciprocal relationship between domestic political configurations and foreign policy, this paper not only enhances the understanding of Tanzania’s case but also contributes to broader debates on the significance of political settlements in shaping the foreign policies of African states.