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Judicial independence (JI) is a concept commanding an expansive literature. However, the findings in the literature are inconsistent: Measures of de facto and de jure JI have been shown to be uncorrelated, negatively correlated, or weakly positively correlated with each other. I argue that the inconsistent findings are the result of conceptual fuzziness and errors in measurement. As a corrective, I define JI as the conjunction of judicial discretion and judicial preferences. This definition leads to the identification of two separately necessary and jointly sufficient conditions for judicial independence: high discretion and preferences that diverge from the actors whose policy they can veto. I argue that when constitutions are difficult to amend, judiciaries have more discretion in their ability to interpret constitutional matters. However, because judicial preferences are generally unobservable, the relationship between JI and constitutional rigidity will be heteroskedastic. I operationalize JI as the proportion of a sitting government’s bills that the judiciary strikes down on constitutional grounds. The expected relationship – that both the mean and variance of JI are increasing in constitutional discretion – is corroborated.
We consider the deflection of light by the Sun (or a massive object) in general relativity. We first find it by analogy of the geodesic equation with the motion of light in a medium with small, position-dependent index of refraction, and then by the formal method of the Hamilton–Jacobi equation, which is first reviewed, before being used. Finally, we compare with the special relativity result, and find the famous ½ factor distinguishing between the two.
This chapter begins by sketching the standard belief-desire model of action and action-explanation employed by most philosophers, while also noting some variations. Of necessity, given the immense literature on the topic, this is presented at a high level of generality, abstracting over many local disagreements. The model and its variations provide the main set of foils for the scientifically grounded accounts to be discussed in later chapters, which are then briefly previewed. The remaining sections of the chapter go on to explain and quickly motivate three major assumptions that are taken for granted throughout the remainder of the book (and also by many philosophers and almost all cognitive scientists, it should be said): realism, physicalism, and representationalism.
Kawasaki disease is a systemic vasculitis that primarily affects young children and represents a major cause of acquired heart disease in children in developed countries. The incidence of Kawasaki disease exhibits significant global variation, and the worldwide burden remains limited.
Methods:
A systematic review was conducted to investigate the global incidence of Kawasaki disease in children under 5 years of age. A comprehensive literature search was performed in PubMed, Embase, and KoreaMed up to July 15, 2024. Studies reporting population-level Kawasaki disease incidence were included. Data extraction and quality assessment were performed independently by two reviewers.
Results:
The search yielded 3,197 articles, of which 105 met the inclusion criteria. These studies examined Kawasaki disease incidence in children under 5 years of age across 34 countries, with the majority focusing on the Western Pacific Region and the Region of the Americas. The results demonstrated a wide range of Kawasaki disease incidence globally, with significant geographic variations. The highest incidence rates were observed in Japan, Korea, and Taiwan, with a trend of gradual increase over time.
Conclusions:
This study represents the most comprehensive review of global Kawasaki disease incidence to date. The substantial variation in incidence underscores the need to understand the factors influencing regional differences.
Pregnant women who contract the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) face an elevated risk of preterm birth, and their newborns are more prone to stillbirth or admission to a neonatal unit. Despite the World Health Organization declaring the end of the coronavirus disease 2019 (COVID-19) pandemic as a global health emergency in May 2023, pregnant women continue to contract SARS-CoV-2. Limited information is available on the impact of SARS-CoV-2 infection in early pregnancy on pregnancy outcomes. Additionally, understanding the safety of vaccination is crucial. Current evidence suggests that SARS-CoV-2 infection in early pregnancy does not seem to heighten the risk of miscarriages. Moreover, vaccinations have demonstrated efficacy in safeguarding both pregnant women and their pregnancies
Scalar dissipation rate (SDR) evolution in a stopping turbulent jet was analysed using direct numerical simulations and a theoretical approach. After the jet is stopped, a deceleration wave for the SDR propagates downstream with a speed similar to that for axial velocity. Upstream of the deceleration wave, mean centreline SDR becomes proportional to axial distance, and inversely proportional to the square of time. After passing of the deceleration wave, normalised radial profiles of SDR and its axial, radial and azimuthal components reach self-similar states, denoted decelerating self-similar profiles, which are different from their steady-state counterparts. Production and destruction terms in the mean SDR transport equation remain dominant in the decelerating self-similar state. The theoretical approach provides an explicit prediction for the radial profile of a turbulent fluctuation term of the mean SDR transport equation. Three turbulent SDR models are validated, and modifications suitable for the decelerating jet are proposed, based on a self-similarity analysis.