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We study the semi-infinite Neumann problem, which models the variation law of a cline in a semi-infinite habitat. Using the bifurcation analysis method, we find that there is a unique solution curve emanating from $(\arctan \alpha ,0)$ with $\alpha> 0$, which is strictly increasing and approaches $1$ in $C[0,+\infty )$. Furthermore, we show that any cline (bifurcation solution) is stable, thereby providing a confirmed answer to a conjecture. Moreover, we also establish the stability of the trivial solution. Our conclusions are consistent with the related numerical results and biological reality.
Compared with superhydrophobic coatings, superamphiphobic coatings offer broader application potential in various fields. However, their practical applications are often hindered by insufficient repellency towards low-surface-tension, high-viscosity and complex multicomponent liquids, as well as by their stability. Herein, a palygorskite-based stable superamphiphobic coating with a simple fabrication process and low cost is reported. The coating was fabricated through sequential spray deposition of a fluorosilicone resin (FSR) bonding layer and a superamphiphobic functional layer composed of fluorinated palygorskite (F-PAL), fluorinated carbon black (F-CB) and FSR. In this coating, F-PAL nanorods serve as the building blocks for constructing the primary nanostructure, while F-CB nanoparticles occupy the interstitial spaces between the PAL nanorods, forming the secondary nanostructure. Together, these components generate a multiscale hierarchical micro-/nanostructure that is critical for achieving superamphiphobicity. By systematically optimizing the mass ratio of F-CB to F-PAL and the FSR content, a low-surface-energy multiscale hierarchical micro-/nanostructure was successfully established, imparting the coating with excellent superamphiphobicity towards water, hydroxyl-terminated polybutadiene/dioctyl sebacate mixtures (HTPB-H) and their aluminium powder-containing suspensions (HTPB-H/Al). The coating exhibits outstanding mechanical, chemical and thermal stability. Furthermore, the coating demonstrates remarkable anti-adhesion performance against both HTPB-H and HTPB-H/Al, together with superior passive anti-icing performance, as evidenced by a significantly prolonged freezing delay time (1291 s, ∼30-fold increase) and a substantially reduced ice adhesion strength (from 224.3 to 65.8 kPa). Moreover, efficient photothermal de-icing performance was achieved under low-temperature, high-humidity and weak-light conditions. These results demonstrate that the proposed superamphiphobic coating holds significant promise for practical applications in anti-adhesion and anti-icing under harsh conditions.
Turán’s Theorem is a cornerstone of extremal graph theory. This theorem and its generalizations are studied in this chapter, including the Erdős–Stone Theorem, Andrásfai–Erdős–Sós Theorem, the notion of stability, chromatic thresholds, and the determination of Turán numbers for color-critical graphs.
In this paper, we study a nonlinear free boundary problem modelling the growth of radially symmetric tumours. The tumour consists of a central necrotic core, an intermediate quiescent layer and an outer proliferating shell. The evolution of tumour layers and the movement of the tumour boundary are totally governed by external nutrient supply and conservation of mass. The three-layer structure generates three free boundaries with discontinuous nutrient consumption rates and cell growth rates. We develop a nonlinear analysis method to clarify the interactive relationships among free boundaries. By carefully studying the dependence of the critical-state tumour growth rate on the external nutrient concentration, we reveal the evolutionary mechanism in tumour growth and the mutual transformation of its internal structures. The existence and uniqueness of the radial stationary solution is proved, and its globally asymptotic stability towards different dormant tumour states is established.
In this study, we develop epidemic reaction-diffusion models by incorporating the dependency of the diffusion rate of susceptible individuals on new infection cases, employing both Fickian and Fokker–Planck-type diffusion laws. As the first part of a two-part series, we focus on epidemics driven by frequency-dependent incidence. We explore linear, exponential and algebraic relationships between diffusion rate of the susceptible population and new infection cases to provide deeper biological insights. Our analysis establishes the global existence of solutions and characterizes the threshold dynamics using basic reproduction numbers. We find that in quasilinear parabolic systems, the Fokker–Planck-type diffusion law tends to induce spatial segregation of susceptible and infected individuals, while the Fickian law favours spatial homogenization of susceptible individuals. Additionally, the Fokker–Planck-type model, where the diffusion rate of infected individuals depends on new recovery cases, more accurately captures the cognitive diffusion behaviour of individuals.
Inertial Effects for a Rigid Body. The primary focus is description of the angular momentum of a rigid body, and the laws and associated rotational equations of motion that relate this quantity to the forces that are exerted. The opening treatment of a system of particles leads to identification of the basic laws. The first example explains why a moment is required to change the orientation of a rotation axis. These concepts are extended to general rigid bodies and naturally lead to definitions for moments of inertia and products of inertia, followed by a discussion of the physical significance of these properties. Systems that execute a variety of rotations are the subject of examples, in which physical explanations are provided for the analytical results. The chapter closes with treatment of rigid bodies moving freely. Axisymmetric bodies, such as a projectile in flight, are treated first. The following treatment discusses asymmetric bodies, such as a block. The “tennis racket” theorem is derived. The chapter ends with application of computational tools, both mathematical and graphical, that provide a description of the overall rotation of asymmetric bodies.
Psychotic-like experiences (PLEs) are common in adolescence and often associated with later mental health difficulties. Although many psychosocial factors are related to PLEs, little is known about how these factors interact over time. Longitudinal network analysis allows examination of the stability of symptom associations and identification of potential intervention targets. This study investigated the structure and temporal stability of PLE networks in a large community-based adolescent cohort.
Methods
Adolescents aged 13–19 years (N = 605 with complete data across all time points) completed assessments at baseline, 12 months, and 24 months. Measures included positive and negative PLEs, cognitive biases, depression, anxiety, trauma, and interpersonal sensitivity. Networks were estimated at each time point, and permutation-based tests were used to compare network structure and overall connectivity across time. Centrality stability was assessed using bootstrapping procedures.
Results
Network structures were stable across the 2-year period, with no significant differences in overall organization or connectivity between time points. Depression consistently showed the highest centrality, followed by anxiety and attributional bias. Positive PLEs were most strongly associated with anxiety, while negative PLEs showed their strongest associations with depression. Attributional bias remained centrally positioned and was strongly linked to trauma. All networks showed robust accuracy and high stability.
Conclusions
Despite considerable developmental change during adolescence, the psychosocial architecture of PLEs remained notably stable. Depression, anxiety, and attributional biases emerged as consistent key nodes, highlighting them as promising targets for prevention and early intervention in adolescents at risk for persistent PLEs.
This chapter introduces the idea of phase space and builds upon the stability landscape idea presented earlier in the context of stable and unstable steady states. Energy minimization in phase space translates into a conceptual model for optimization, where we can use the R module NLOPTR for global optimization and parameter fitting.
In this article, we first investigate weighted Minkowski-type inequalities for nearly spherical sets in space forms, focusing on the sets that are $C^1$-close to geodesic spheres. Our results generalize the work of Glaudo (2022, Adv. Math. 408, 108595) by incorporating broader geometric settings and convex weight functions. Additionally, we establish quantitative stability estimates for weighted Alexandrov–Fenchel-type inequalities in $\mathbb {R}^{n+1}$ and $\mathbb {H}^{n+1}$, extending the earlier results of VanBlargan and Wang (2024, Commun. Contemp. Math. 26, 2350026) and Zhou and Zhou (2024, J. Geom. Anal. 34, 376). These inequalities hold for nearly spherical sets that are $W^{2,\infty }$-close to geodesic spheres coupled with general convex weights.
In this paper, we show the existence, uniqueness and stability of nontrivial solutions to the following Minkowski-curvature problems on unbounded domains:
where $f:\ [t_0, \infty )\times \mathbb {R}\rightarrow \mathbb {R}$ is continuous, $t_0>0$ and $\psi _0\in \mathbb {R}$ are some given constants. Moreover, this unique solution is obtained as the uniform limit of the sequence of successive approximations.
Chrysoperla carnea (Stephens) (Neuroptera: Chrysopidae) is an important agricultural biocontrol agent that preys on various soft-bodied insect pests. This study was carried out to evaluate the fitness parameters of bifenthrin-selected (Bifen-Sel) and unselected (Unsel) strains of C. carnea and their reciprocal crosses (C1 and C2) by using an age-stage and two-sex life table approach. After continuous selection with bifenthrin (44 generations), the Bifen-Sel strain of C. carnea developed a 9.55-fold resistance level when compared to that of the Unsel. Biological parameters, such as the pupal period, pre-adult duration, male and female longevity, adult pre-oviposition period, and oviposition period of the Bifen-Sel strain, all were significantly different from that of the Unsel strain and their crosses C1 and C2. The larval period, total pre-oviposition period, female ratio, reproductive female ratio, and fecundity of the Bifen-Sel strain were significantly different from those of the Unsel strain. Demographic parameters, including intrinsic rate (rm), finite rate (λ), net reproductive rate (R0), mean generation rate (T), and gross reproductive rate of the Bifen-Sel strain, were similar to those of the Unsel strain but significantly higher than those of the C1 and C2 crosses of C. carnea. Bifenthrin resistance was stable in the Bifen-Sel strain of C. carnea. These findings provide valuable insights into bifenthrin resistance dynamics in C. carnea as it resulted in no fitness cost and support its selective use under controlled conditions, while highlighting the need for future research on predation potential of this resistant strain under field conditions with bifenthrin applications.
We study a size-structured tree growth model from [4–6], described by the nonlinear renewal equation $\phi(t) = \mathfrak{F} \phi_t, \ \phi_t \in L^1_\rho(\mathbb{R}_{-}),$ with reproduction, death, and growth rates $\beta$, $\mu$, and $g$. We prove that, under mild conditions on these rates, the equation generates a semiflow in $L^1_\rho(\mathbb{R}_{-})$ that is permanent and possesses a compact global attractor $\mathcal{A}$. If $\beta$ is monotone, $\mathcal{A}$ reduces to a single asymptotically stable equilibrium attracting all compact sets with positive initial data. Adapting an approach from [21], originally developed for simpler renewal equations, we investigate stability and persistence in this more complex setting via the one-dimensional recurrence $b_{n+1} = \mathfrak{F} b_n,$ thereby complementing the functional-analytic framework of [13].
This chapter provides an introduction to the study of extremal problems in graph theory, beginning with the classical theorem of Turán. We next turn to bipartite graphs, beginning with trees and paths, and then proving upper bounds for complete bipartite graphs and lower bounds for even cycles. In the process, we take the opportunity to introduce the reader to the Erdős–Rényi random graph G(n, p), which is the central topic of Chapter 5, and also to the fundamental techniques of rotation-extension, double-counting using convexity, and the alteration method, using the inequalities of Markov and Chebyshev. In the second half of the chapter we introduce the notions of supersaturation and stability, which both play key roles in modern research, and prove the Erdős–Stone theorem, often called the fundamental theorem of extremal graph theory, in the case χ(H) = 3.
Humans and other animals with a big X and a small gene-poor Y chromosome share the problem that many X-borne genes are present in two copies in females and a single copy in males. In mammals, compensation for this different gene dosage is accomplished by inactivation of one X in the somatic cells of females. Discovered by Mary Lyon in 1961, X chromosome inactivation involves the silencing of a thousand unrelated but physically linked genes on one X. It is a whole-X event, involving major cytological changes, including late DNA replication and visibly different compaction into ‘sex chromatin’. Some genes on the X (many in humans, few in mice) escape inactivation. Inactivation is a stable change, inherited by somatic cells but reversed in germ cells, and seems to be controlled from an inactivation centre that can be mapped on the X. X inactivation occurs in the embryo, silencing one or other X at random, but imprinted X inactivation of the paternally derived X occurs at early developmental stages in mice, and at all stages in marsupials. X inactivation is a spectacular example of ‘epigenetic’ silencing on a grand scale, and is intensively studied in humans and mice, and modelled in stem cells.
This chapter discusses five debates in the academic literature on psychopathy: (1) is criminal behaviour a trait or a consequence of psychopathy, (2) what is the structure of psychopathy traits, (3) is there such a thing as “successful psychopathy”, (4) can self-report tools reliability measure psychopathy, and (5) do people with psychopathy traits change? Like Chapter 1, the goal is not to determine who won or lost the debate. Instead, the goal is to inform readers of different views on key matters. Where I do not remain neutral is with respect to debunking myths and misconceptions about psychopathy that have been perpetuated by news media and popular culture sources. I explain what the myth is, where the source of confusion appears to have arisen, and what the reality is within the academic literature. For example, I discuss how True Crime podcasts mistake psychosis for psychopathy, how media overestimates the prevalence of psychopathy, and the Hannibal Lecter myth in which people with psychopathy traits are assumed to have high IQs and act as a criminal masterminds.
In independent Ireland, civil war threat receded in 1927 when Eamon de Valera led his anti-Treaty party, Fianna Fáil, into the Dáil, the lower, elected house of the Free State’s bicameral parliament. The pro-Treaty parties were Fine Gael and the Labour Party. Various short-lived parties challenged the supremacy of the Big Three over the decades. There was investment in infrastructure (electricity, transport, agriculture, food processing) and native industry flourished from the 1930s to the 1950s behind high tariff walls, but unemployment and emigration persisted. Health care was improved from the mid-1940s. The Catholic Church exercised huge power.
In Northern Ireland unionists’ majority led to systematic discrimination against Catholics (assumed nationalist) in elections, employment and housing. Economically, apart from the Second World War, Northern Ireland experienced decline but it shared in the social benefits of postwar Britain.
The 1960s brought more questioning of authority of all kinds, all over the island. In independent Ireland, new-found prosperity removed the safety-valve of emigration and free secondary education improved opportunities. Living standards rose. In the North, Catholic dissatisfaction was expressed in civil rights demonstrations which outraged unionists, and the British army was called in to maintain order.
is considered under zero-flux boundary conditions in a smoothly bounded domain $\Omega \subset \mathbb{R}^3$ where $\alpha \gt 0,\chi \gt 0$ and $\ell \gt 0$. By developing a novel class of functional inequalities to address the challenges posed by the doubly degenerate diffusion mechanism in (0.1), it is shown that for $\alpha \in (\frac {3}{2},\frac {19}{12})$, the associated initial-boundary value problem admits a global continuous weak solution for sufficiently regular initial data. Furthermore, in an appropriate topological setting, this solution converges to an equilibrium $(u_\infty , 0)$ as $t\rightarrow \infty$. Notably, the limiting profile $u_{\infty }$ is non-homogeneous when the initial signal concentration $v_0$ is sufficiently small, provided the initial data $u_0$ is not identically constant.
We model attitude stability and constraint, using a dynamic discrete choice framework for multiple attitudes, to identify influential attitudes within attitude systems. Its value-added includes insights about different sources of (in)stability, the direction of causation between attitudes, and their relative degree of influence; capturing time-invariant individual traits with a multiple factor structure; and addressing the ordinal nature of attitudinal measures, together with heterogeneity in time intervals between interviews, across waves, and people. We examine five core political attitudes concerning how people view the political world and their role in it. Most of their variance reflects infrequently-changing individual characteristics and time-specific effects. Permanent heterogeneity plays a modest role. External efficacy is most influential concerning evaluations of the external political world, while internal efficacy is influential for views on one’s role in politics. Another application examines the role of ideological and party identification on attitudes toward government spending and immigration. The attitudes form a weakly constrained attitude system. Party identification is the most influential, through spillovers to ideological identification. Party and ideological identifications are stable, time-invariant traits explaining most of their variance, with transitory shocks that hint at measurement error and/or expressive responding. Issue attitudes are unstable, driven mainly by transitory shocks.
Outer space is increasingly central to international security. The use of Starlink in the Russo–Ukrainian war has enabled Ukrainian operations while negating Russian interference. Having witnessed Starlink’s crucial impact in Ukraine, several states seek to emulate the system’s offensive and defensive advantages. This article analyses how the onset of mega-constellations – satellite systems consisting of very high numbers of smaller satellites – will affect stability in the space domain. As states are increasingly dependent on space for both nuclear and conventional operations, the stability of the space domain is a key concern for international security. Showing how mega-constellations can mitigate existing vulnerabilities in space while generating offensive advantages on earth, this article shows that their proliferation is likely to make conventional counterspace attacks ineffective and costly. Therefore, mega-constellations will have a stabilising effect between states equally dependant on space. However, under conditions of asymmetric dependence, less space-reliant states may find incentives to employ highly destructive weapons, including nuclear weapons, to disable adversary mega-constellations. Accordingly, the proliferation of mega-constellations may act in a destabilising manner, especially if under conditions of asymmetry in space.
The equilibrium notion of Nash has been the primary tool for predicting strategies and outcomes of games with rational players. But the Nash equilibrium is a weak criterion for games with dynamic interactions and/or private information among the players. Stronger criteria called equilibrium refinements are intended to remedy deficiencies that stem from these features. This chapter summarizes motives for refinements, the main refinements themselves, and reports progress on characterizing the strongest refinement, called stability, via axioms that express basic properties of rational behavior.