While eating is universally salient, food habits vary greatly even across similar western cultural groups. Italians, for example, are renowned pasta consumers whereas this habit is less pervasive in other western cultures. This variability might shape the conceptualization of food of different cultural groups. Against this backdrop, it has been proposed the semantic representation of food is universally organized along two main axes, with natural food (e.g., vegetables, fruit) relying more on sensory properties and manufactured food (e.g., pasta) relying more on functional properties. In this exploratory study, we compared the semantic representation of pasta, vegetables, and fruit across Italian and English-speaking participants with a free-listing task. We find the representation of pasta is not restricted to functional properties. Moreover, Italian and English speakers differed both quantitatively and qualitatively in their representation of pasta. Italians produced more exemplars of pasta than English-speaking participants, and their conceptual organization of pasta also included fine-grained distinctions (e.g., egg-based vs. flour-and-water pasta), whereas English-speaking participants mostly focused on perceptual components (e.g., long) – even when accounting for differential consumption, cooking, and preparation experience of pasta. Our results suggest that culture-specific experiences can shape the conceptualization of food.

This article investigates the role that Italian food companies like Barilla pasta played in creating narratives of East African empire at the apex of the Fascist ventennio. It aims to use the commercial remnants of Fascist empire to provide a more thorough accounting of how colonialism shaped the modern cultural history of Italian pasta. To do so, I analyze the paper ephemera, that is, the pasta advertisements and packaging, that connected occupied East Africa to Italy, demonstrating how regime projects to promote grain evolved into corporate projects in private industry. I argue that these two stories form a single cohesive narrative, one that can unite much of the excellent work that has been done on Fascist agriculture in empire with the transnational history of Italian food companies. East African empire, as depicted by Italian pasta shapes and advertisements, was consumable. At stake in this inquiry lies the shifting question of Italian national identity, framed by food products in global contexts.

Carbohydrate foods with high glycaemic index (GI) and load (GL) may negatively influence cancer risk. We studied the association of dietary carbohydrates, GI, GL, intake of bread and pasta with risk of bladder cancer using data from an Italian case–control study. The study included 578 men and women with histologically confirmed bladder cancer and 608 controls admitted to the same hospitals as cases for acute, non-neoplastic conditions. OR were estimated by logistic regression models after allowance for relevant confounding factors. OR of bladder cancer for the highest v. the lowest quantile of intake were 1·52 (95 % CI 0·85, 2·69) for available carbohydrates, 1·18 (95 % CI 0·83, 1·67) for GI, 1·96 (95 % CI 1·16, 3·31, Ptrend<0·01) for GL, 1·58 (95 % CI 1·09, 2·29, Ptrend=0·03) for pasta and 1·92 (95 % CI 1·28, 2·86, Ptrend<0·01) for bread. OR for regular consumption of legumes and whole-grain products were 0·78 (95 % CI 0·60, 1·00) and 0·82 (95 % CI 0·63, 1·08), respectively. No heterogeneity in risks emerged across strata of sex. This case–control study showed that bladder cancer risk was directly associated with high dietary GL and with consumption of high quantity of refined carbohydrate foods, particularly bread. These associations were apparently stronger in subjects with low vegetable consumption.

Customers arriving at a queue do not usually see its time-average behavior unless arrivals occur according to a Poisson process. In this article we study how nearly customers see time-average behavior. We give total variation error bounds for comparing the distance between the time- and customer-average distributions of a queueing system in terms of properties of the interarrival distribution. Some refinements are given for special cases and numerical computations are used to demonstrate the performance of the inequalities.

We give a new method for simulating the time average steady-state distribution of a continuous-time queueing system, by extending a ‘read-once’ or ‘forward’ version of the coupling from the past (CFTP) algorithm developed for discrete-time Markov chains. We then use this to give a new proof of the ‘Poisson arrivals see time averages’ (PASTA) property, and a new proof for why renewal arrivals see either stochastically smaller or larger congestion than the time average if interarrival times are respectively new better than used in expectation (NBUE) or new worse than used in expectation (NWUE).

We consider the equivalence of state probabilities of a general stationary process at an arbitrary time and at embedded epochs of a given point process, which is called ASTA (Arrivals See Time Averages). By using an event-conditonal intensity, we give necessary and sufficient conditions for ASTA for a large class of state sets, which determines a state distribution. We do not need any additional assumptions except that the general process has left-hand limits at all points of time. Especially, for a stationary pure-jump process with a point process, ASTA is obtained for all state sets. As an application of those results, Anti-PASTA is obtained for a pure-jump Markov process and a certain class of GSMP (Generalized Semi-Markov Processes), where Anti-PASTA means that ASTA implies that the arrival process is Poisson.

This paper is a sequel to our previous paper investigating when arrivals see time averages (ASTA) in a stochastic model; i.e., when the steady-state distribution of an embedded sequence, obtained by observing a continuous-time stochastic process just prior to the points (arrivals) of an associated point process, coincides with the steady-state distribution of the observed process. The relation between the two distributions was also characterized when ASTA does not hold. These results were obtained using the conditional intensity of the point process given the present state of the observed process (assumed to be well defined) and basic properties of Riemann–Stieltjes integrals. Here similar results are obtained using the stochastic intensity associated with the martingale theory of point processes, as in Brémaud (1981). In the martingale framework, the ASTA result is almost an immediate consequence of the definition of a stochastic intensity. In a stationary framework, the results characterize the Palm distribution, but stationarity is not assumed here. Watanabe's (1964) martingale characterization of a Poisson process is also applied to establish a general version of anti–PASTA: if the points of the point process are appropriately generated by the observed process and the observed process is Markov with left-continuous sample paths, then ASTA implies that the point process must be Poisson.