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In summer 1947, African American anthropologist John Gibbs St. Clair Drake arrived in Tiger Bay, the port neighborhood of Cardiff in South Wales, to begin field work for his doctoral thesis, “Race Relations in the British Isles.” Drake's academic reputation had already been established by the publication of Black Metropolis (1945), a seminal study of Chicago's so-called Black Belt that Drake co-authored with researcher Horace Cayton. What attracted him to Tiger Bay for his next project was a scandal that erupted on both sides of the Atlantic around Britain's growing population of what were referred to as brown babies. These children were the product of sexual encounters that sometimes took place between local white women and some of the 200,000 African American GIs who were at different points stationed across the United Kingdom during the later part of the Second World War. Using the extensive field notes Drake kept during his sojourn in Cardiff, this article reconstructs the nature and feel of a neighborhood where, by the 1940s, half of all residents were from ethnic minority backgrounds. Drake's work serves as a window onto the nature of racism and ideas about race in late-imperial Britain, alongside the parallel presence of metropolitan community life in Tiger Bay, one of Britain's oldest multicultural communities.
Across three studies, we explored the link between an abstract mindset and subjective well-being (SWB) in participants with real and/or perceived financial scarcity. In Studies 1 and 2, samples presented real objective financial vulnerability: Adolescents from lower-middle income districts (Study 1; N = 256), and adults without higher education and with very low incomes (Study 2; N = 210). In Studies 1 and 2 participants completed a survey including measures of thinking style and SWB. In Studies 2 and 3 perception of financial difficulty and SWB were also measured. Study 3 (N = 161) used a sample of university students and employed an experimental design manipulating participants’ thinking style (i.e., concrete versus abstract mindset conditions); additionally, all participants were induced to perceive financial scarcity. Correlations revealed a significant and positive relationship between an abstract thinking style and SWB (Studies 1 and 2). Thus, these results showed that a relatively more abstract thinking style was associated with greater life satisfaction. In Studies 2 and 3 mediation analyses indicated that adults who presented a more abstract thinking style, perceived lower financial difficulties and then reported greater SWB. Overall, given that an abstract thinking style can be induced, these results offer a new intervention approach for improving the SWB of people living in situations of financial scarcity.
Nationalism, nationhood, and ethnicity, as Eric Hobsbawm argued, are social processes constructed essentially from above, yet cannot be understood unless also analyzed from below.1 Inspired by European Orientalism, the intellectual advocates of Western-oriented nationalism attempted to establish a new Iranian identity based on Persian language and Iran's pre-Islamic past.2 This made Iranian nationalism an attractive ideology for some political elites, and was later endorsed by the Pahlavi dynasty (1925–79) when nationalist ideology replaced Iranianness with Persianity. In this conception, there was no room for the ethnic diversity of a nation-state that is the heir of an ancient empire. The elites’ aspirations to uniformity put pressure on members of ethnic groups to conform their way of life to a new model of Iranianness, Persianized and pro-Western. Every nonconforming element was regarded as a sign of backwardness and possible threat to the modern nation and its territorial integrity.
Community-based medication therapy management advanced pharmacy practice experiences (MTM APPE) can engage pharmacy students in public health initiatives, including emergency response preparedness, to successfully impact patient care. This study aimed to evaluate pharmacy students’ perceptions of their experience on an MTM APPE during disasters in Puerto Rico.
Methods:
After completing the MTM APPE during times of hurricanes, earthquake or pandemic, pharmacy students were asked to voluntarily participate in a questionnaire about their perception of assisting during a disaster. The survey consisted of 5 questions. Four questions were based on a Likert scale with answers choices ranging from Agree, Not Sure, Disagree, or Not Applicable. One question requested free text comments from participants.
Results:
Sixteen students completed the survey. Pharmacy students agreed that the MTM APPE taught them the clinical skills needed to assist and educate individual patients and the community that suffered from a disaster, and that the role of the pharmacist is vital when a disaster disrupts a community’s health-care system.
Conclusions:
Training in emergency response to disasters should be a considered component of MTM APPE.
Active flow control for drag reduction with reinforcement learning (RL) is performed in the wake of a two-dimensional square bluff body at laminar regimes with vortex shedding. Controllers parametrised by neural networks are trained to drive two blowing and suction jets that manipulate the unsteady flow. The RL with full observability (sensors in the wake) discovers successfully a control policy that reduces the drag by suppressing the vortex shedding in the wake. However, a non-negligible performance degradation ($\sim$50 % less drag reduction) is observed when the controller is trained with partial measurements (sensors on the body). To mitigate this effect, we propose an energy-efficient, dynamic, maximum entropy RL control scheme. First, an energy-efficiency-based reward function is proposed to optimise the energy consumption of the controller while maximising drag reduction. Second, the controller is trained with an augmented state consisting of both current and past measurements and actions, which can be formulated as a nonlinear autoregressive exogenous model, to alleviate the partial observability problem. Third, maximum entropy RL algorithms (soft actor critic and truncated quantile critics) that promote exploration and exploitation in a sample-efficient way are used, and discover near-optimal policies in the challenging case of partial measurements. Stabilisation of the vortex shedding is achieved in the near wake using only surface pressure measurements on the rear of the body, resulting in drag reduction similar to that in the case with wake sensors. The proposed approach opens new avenues for dynamic flow control using partial measurements for realistic configurations.
I analyze factory worker households in the early 1920s in Osaka to examine idiosyncratic income shocks and consumption. Using the household-level monthly panel dataset, I find that while households could not fully cope with idiosyncratic income shocks at that time, they mitigated fluctuations in indispensable consumption during economic hardship. In terms of risk-coping mechanisms, I find suggestive evidence that savings institutions helped mitigate vulnerabilities and that both using borrowing institutions and adjusting labor supply served as risk-coping strategies among households with less savings.
Waitlists for long-term care (LTC) continue to grow, and it is anticipated aging populations will generate additional demand. While literature focuses on individual-level factors, little is known about system-level factors contributing to LTC waitlists. We considered these factors through a scoping review. Inclusion/exclusion included publication year (2000–2022), language, paper focus, and document type. A total of 815 abstracts were identified, only 17 studies were included. Through qualitative content analysis, 10 key factors were identified: (1) waitlist management styles, (2) inconsistent standards of admission, (3) personnel shortage, (4) insufficient community-based care, (5) inequitable distribution of services, (6) lack of system integration, (7) unintended consequences of insurance plans, (8) ranking preferences, (9) the debate of supply and demand, and (10) financial incentives. Targeting interventions to address waitlist management, community-based care capacity, and demographic trends could improve access. More research is needed to address system-level barriers to timely LTC access.
An accurate prediction of turbulence has been very costly since it requires an infinitesimally small time step for advancing the governing equations to resolve the fast-evolving small-scale motions. With the recent development of various machine learning (ML) algorithms, the finite-time prediction of turbulence became one of promising options to relieve the computational burden. Yet, a reliable prediction of the small-scale motions is challenging. In this study, PredictionNet, a data-driven ML framework based on generative adversarial networks (GANs), was developed for fast prediction of turbulence with high accuracy down to the smallest scale using a relatively small number of parameters. In particular, we conducted learning of two-dimensional (2-D) decaying turbulence at finite lead times using direct numerical simulation data. The developed prediction model accurately predicted turbulent fields at a finite lead time of up to half the Eulerian integral time scale over which the large-scale motions remain fairly correlated. Scale decomposition was used to interpret the predictability depending on the spatial scale, and the role of latent variables in the discriminator network was investigated. The good performance of the GAN in predicting small-scale turbulence is attributed to the scale-selection and scale-interaction capability of the latent variable. Furthermore, by utilising PredictionNet as a surrogate model, a control model named ControlNet was developed to identify disturbance fields that drive the time evolution of the flow field in the direction that optimises the specified objective function.
We present a modified version of the well-known geometric Lorenz attractor. It consists of a $C^1$ open set ${\mathcal O}$ of vector fields in ${\mathbb R}^3$ having an attracting region ${\mathcal U}$ satisfying three properties. Namely, a unique singularity $\sigma $; a unique attractor $\Lambda $ including the singular point and the maximal invariant in ${\mathcal U}$ has at most two chain recurrence classes, which are $\Lambda $ and (at most) one hyperbolic horseshoe. The horseshoe and the singular attractor have a collision along with the union of $2$ codimension $1$ submanifolds which split ${\mathcal O}$ into three regions. By crossing this collision locus, the attractor and the horseshoe may merge into a two-sided Lorenz attractor, or they may exchange their nature: the Lorenz attractor expels the singular point $\sigma $ and becomes a horseshoe, and the horseshoe absorbs $\sigma $ becoming a Lorenz attractor.
Much sociological attention has focused on Black identity within the United States. Less attention, however, has been given to understanding how immigrant and native-born streams of U.S. Black Muslims articulate American identity. In this study I ask: how do second-generation Black American Muslims and indigenous Black American Muslims compare in the ways they narrate connections among race, American identity, and Islam? Using data from thirty-one in-depth interviews with Black Muslims living in Houston, TX, I find that racial double-consciousness complicates American identity for respondents. While indigenous Black American respondents critique racist U.S. histories and structural inequities, I argue that in certain spaces Muslim identity reinforces American identity. For second-generation respondents, however, American identity is reinforced through embracing immigrant status. This study extends Du Boisian double-consciousness by making a case for “layered double-consciousness.” I argue that layered double-consciousness better explains how Black Muslims perceive their racial, religious, and national identities across macro levels within the context of the United States and meso levels within the Muslim American community.
This study addresses a longstanding historical and archaeological problem at the central Cretan urban centre of Knossos. This is the so-called ‘Archaic gap’, an apparent dearth of evidence for sixth-century BCE material culture across the extensively excavated city. The concept of a pronounced Knossian decline or recession at this time has been reaffirmed in recent years, with widespread repercussions for Cretan archaeology. By reconsidering ceramics from the Royal Road North and Unexplored Mansion excavations, as well as situating these deposits within their urban and regional contexts, I question the epistemological foundations of the Knossian gap and provide new directions for identifying sixth-century Knossian material culture. I propose that the apparent ‘gap’ is a product of several factors: (1) a relative disinterest in imports in sixth-century Knossos, (2) a dispersed, rather than densely nucleated, urban settlement pattern, and (3) a previously unrecognised conservatism in Knossian ceramics, where some of the ‘Orientalising’ styles traditionally dated to the seventh century were retained into the sixth. This phenomenon of conservatism differs in important ways from the ‘restraint’ or ‘austerity’ that has been previously proposed as characteristic of Archaic and Classical Crete.
We report an experimental study about the effect of an obstructed centre on heat transport and flow reversal by inserting an adiabatic cylinder at the centre of a quasi-two-dimensional Rayleigh–Bénard convection cell. The experiments are carried out in a Rayleigh number ($Ra$) range of $2\times 10^7 \leq Ra \leq 2\times 10^9$ and at a Prandtl number ($Pr$) of $5.7$. It is found that for low $Ra$, the obstructed centre leads to a heat transfer enhancement of up to 21 $\%$, while as $Ra$ increases, the magnitude of the heat transfer enhancement decreases and the heat transfer efficiency ($Nu$) eventually converges to that of the unobstructed normal cell. Particle image velocimetry measurements show that the heat transfer enhancement originates from the change in flow topology due to the presence of the cylindrical obstruction. In the low-$Ra$ regime the presence of the obstruction promotes the transition of the flow topology from the four-roll state to the abnormal single-roll state then to the normal single-roll state with increasing obstruction size. While in the high-$Ra$ regime, the flow is always in the single-roll state regardless of the obstruction size, although the flow becomes more coherent with the size of the obstruction. We also found that in the presence of the cylindrical obstruction, the stability of the corner vortices is significantly reduced, leading to a large reduction in the frequency of flow reversals.
This article begins with an overview of twin research in Brazil, initiated by the University of São Paulo Panel of Twins. I met with many new research collaborators and students while on a fall 2023 four-city lecture tour in that country. A meeting with a world-famous surgeon who recently separated craniopagus conjoined twin pairs is also described. This overview is followed by summaries of twin research on binge eating, twins’ physical outcomes linked to different diets, working conditions and sickness absence in Swedish Twins and facial morphology differences in monozygotic twins. The final section of this article provides a sampling of human interest stories with important implications. They include a Michigan family forced to adopt their own twins, ethical issues surrounding the hiring of a surrogate to bear twins; twin survivors of the Israel-Hamas war, a twin pregnancy with a double uterus, and three twin pairs on the same women’s soccer team.
In the context of large off-shore wind farms, power production is influenced greatly by the turbine array's interaction with the atmospheric boundary layer. One of the most influencing manifestations of such complex interaction is the increased level of shear stress observed within the farm. This leads to higher momentum fluxes that affect the wind speed at the turbine locations and in the cluster wake. At the wind farm entrance, an internal boundary layer (IBL) grows due to the change in effective roughness imposed by the wind turbines, and for large enough clusters, this can reach the unperturbed boundary layer height in what is referred to as the fully developed regime. Downwind, a second IBL starts growing, while the shear stress profile decays exponentially to its unperturbed state. In the present study, we propose a simple analytical model for the vertical profile of the horizontal shear stress components in the three regions identified above. The model builds upon the top-down model of Meneveau (J. Turbul., vol. 13, 2012, N7), and assumes that the flow develops in a conventionally neutral boundary layer. The proposed parametrization is verified successfully against large-eddy simulations, demonstrating its ability to capture the vertical profile of horizontal shear stress, and its evolution both inside and downwind of the wind farm. Our findings suggest that the developed model can prove extremely useful to enhance the physical grounds on which new classes of coupled wind farm engineering models are based, leading to a better estimation of meso-scale phenomena affecting the power production of large turbine arrays.
We construct an autoregressive moving average (ARMA) model consisting of the history and random effects for the streamwise velocity fluctuation in boundary-layer turbulence. The distance to the wall and the boundary-layer thickness determine the time step and the order of the ARMA model, respectively. Based on the autocorrelation's analytical expression of the ARMA model, we obtain a global analytical expression for the second-order structure function, which asymptotically captures the inertial, dynamic and large-scale ranges. Specifically, the exponential autocorrelation of the ARMA model arises from the autoregressive coefficients and is modified to logarithmic behaviour by the moving-average coefficients. The asymptotic expressions enable us to determine model coefficients by existing parameters, such as the Kolmogorov and the Townsend–Perry constants. A consequent double-log expression for the characteristic length scale is derived and is justified by direct numerical simulation data with $Re_\tau \approx 5200$ and field-measured neutral atmospheric surface layer data with $Re_\tau \sim O(10^6)$ from the Qingtu Lake Observation Array site. This relation is robust because it applies to $Re_\tau$ from $O(10^4)$ to $O(10^6)$, and even when the statistics of natural ASL deviate from those of canonical boundary-layer turbulence, e.g. in the case of imbalance in energy production and dissipation, and when the Townsend–Perry constant deviates from traditional values.
For a subset $A$ of an abelian group $G$, given its size $|A|$, its doubling $\kappa =|A+A|/|A|$, and a parameter $s$ which is small compared to $|A|$, we study the size of the largest sumset $A+A'$ that can be guaranteed for a subset $A'$ of $A$ of size at most $s$. We show that a subset $A'\subseteq A$ of size at most $s$ can be found so that $|A+A'| = \Omega (\!\min\! (\kappa ^{1/3},s)|A|)$. Thus, a sumset significantly larger than the Cauchy–Davenport bound can be guaranteed by a bounded size subset assuming that the doubling $\kappa$ is large. Building up on the same ideas, we resolve a conjecture of Bollobás, Leader and Tiba that for subsets $A,B$ of $\mathbb{F}_p$ of size at most $\alpha p$ for an appropriate constant $\alpha \gt 0$, one only needs three elements $b_1,b_2,b_3\in B$ to guarantee $|A+\{b_1,b_2,b_3\}|\ge |A|+|B|-1$. Allowing the use of larger subsets $A'$, we show that for sets $A$ of bounded doubling, one only needs a subset $A'$ with $o(|A|)$ elements to guarantee that $A+A'=A+A$. We also address another conjecture and a question raised by Bollobás, Leader and Tiba on high-dimensional analogues and sets whose sumset cannot be saturated by a bounded size subset.