Measurement error undermines the accuracy of dietary intake data. The 24-h dietary recall (24HR) is the standard data collection method in nutrition surveillance. Several neurocognitive processes underpin the act of recall, and individuals differ in their performance of these processes. This study aimed to investigate whether variation in neurocognitive processes, measured using four cognitive tasks, was associated with variation in measurement error of 24HR. Participants (n 139) completed the Trail Making Test, the Wisconsin Card Sorting Test, the Visual Digit Span and the Vividness of Visual Imagery questionnaire. During a controlled feeding study, participants completed three technology-assisted 24HR: the Automated Self-Administered Dietary Assessment Tool, Intake24 and an Interviewer-Administered Image-Assisted 24HR (IA-24HR) 1 week apart. The percentage error between reported and true energy intakes was calculated. Using linear regression, the association between cognitive task scores and absolute percentage error in estimated energy intake was assessed. Longer time spent completing the Trail Making Test, an indicator of visual attention and executive functioning, was associated with greater error in energy intake estimation using ASA24 (B 0·13, 95 % CI 0·04, 0·21) and Intake24 (B 0·10, 95 % CI 0·02, 0·19). Regression models explained 13·6 % (ASA24) and 15·8 % (Intake24) of the variance in energy estimation error. No cognitive task scores were associated with error using IA-24HR. This study demonstrates that variation between individuals in neurocognitive processes explains some of the variation in 24HR error. Further investigation into the role of neurocognitive processes in 24HR and their role in the reliability of dietary intake data is warranted.

What political imaginaries have existed beyond the nation-state? What might the misfitting (queer?) materials of the past—those unamenable to inclusion in narratives of national resistance—teach us about colonial and apartheid pasts? What alternatives to the colony and its contemporary forms might we imagine now? To respond to these questions, this essay assembles an archive of twentieth-century Capetonian queenliness, placing the historical Queen Elizabeth in proximity with textual renderings of the queer queens of apartheid Cape Town. A fictional, tongue-in-cheek, book review, published in Drum magazine in 1977, figures as a paradigmatic text of a mid-century popular textual genre that is animated by the sensibility that I call “camp royalist.” The critical impetus that animates camp royalism provokes us to reconsider how we represent colonial and apartheid pasts and invites us to think about possible future, nonnational, political collectivities and critiques.

For a continuous-time phase-type (PH) distribution, starting with its Laplace–Stieltjes transform, we obtain a necessary and sufficient condition for its minimal PH representation to have the same order as its algebraic degree. To facilitate finding this minimal representation, we transform this condition equivalently into a non-convex optimization problem, which can be effectively addressed using an alternating minimization algorithm. The algorithm convergence is also proved. Moreover, the method we develop for the continuous-time PH distributions can be used directly for the discrete-time PH distributions after establishing an equivalence between the minimal representation problems for continuous-time and discrete-time PH distributions.

This article presents a bioinspired pneumatic soft actuator designed to mimic the flexo-extension movement of the human finger, with a particular focus on stiffness modulation through granular jamming. Three-chamber geometries – honeycomb, rectangular, and half-round – were evaluated to optimize curvature performance, utilizing Mold Star 15 Slow elastomer for actuator fabrication. Granular jamming, both passive and active, was implemented within the inextensible layer using chia and quinoa grains to enhance stiffness modulation. Experimental results revealed that the honeycomb geometry most closely aligned with the natural index finger trajectory. Stiffness evaluations demonstrated a range of 0–0.47 N/mm/° for quinoa and 0–0.9 N/mm/° for chia. The actuator’s force output increased by 16% for quinoa and 71% for chia compared to the nonjammed configuration. This enhanced performance is particularly beneficial for applications such as hand rehabilitation, where adaptive stiffness and force modulation are critical. Granular jamming, especially with active chia, provided superior adaptability for tasks requiring variable stiffness and resistance, making it a promising candidate for wearable robotic applications in rehabilitation.

We study linear random walks on the torus and show a quantitative equidistribution statement, under the assumption that the Zariski closure of the acting group is semisimple.

In the present technological age, where cyber-risk ranks alongside natural and man-made disasters and catastrophes – in terms of global economic loss – businesses and insurers alike are grappling with fundamental risk management issues concerning the quantification of cyber-risk, and the dilemma as to how best to mitigate this risk. To this end, the present research deals with data, analysis, and models with the aim of quantifying and understanding cyber-risk – often described as “holy grail” territory in the realm of cyber-insurance and IT security. Nonparametric severity models associated with cyber-related loss data – identified from several competing sources – and accompanying parametric large-loss components, are determined, and examined. Ultimately, in the context of analogous cyber-coverage, cyber-risk is quantified through various types and levels of risk adjustment for (pure-risk) increased limit factors, based on applications of actuarially founded aggregate loss models in the presence of various forms of correlation. By doing so, insight is gained into the nature and distribution of volatile severity risk, correlated aggregate loss, and associated pure-risk limit factors.

The antenna characterization from planar near-field (NF) measurements is generally realized by using the classical NF to far-field transform technique of plane wave expansion (PWE). This approach imposes strong constraints on NF sampling. To overcome these limitations, an equivalent model of the antenna under test (AUT) is created based on a distribution of infinitesimal dipoles. A reduced-order model (ROM) of the problem is constructed to obtain a decomposition basis defining the radiated field. The powerful ability of the ROM in determining the number of points needed for accurate NF measurements is demonstrated. Also, efficient non-conventional sampling strategies are applied to the case of planar NF measurements and the influence of these distributions on the reduction of the number of samples is studied. The global analysis of our approach on simulated and measured NF data shows that only 20% of the total number of points are needed with respect to the classical PWE technique to achieve an accurate characterization.

Seeds are complex structures that serve as dispersal units in angiosperms. Seeds consist of three specialized tissues with distinct roles and molecular compositions. Hence, the characterization of the genetic regulators that act within individual seed tissues, and how their activity changes during seed development and germination, has been a primary focus of seed research. However, our knowledge of the spatiotemporal modulation of genetic regulators within seeds, across different seed cell types, has been limited by the resolution of available techniques. In the last few years, the development and application of single-cell technologies in plants have enabled the elucidation of gene networks involved in various developmental processes at the cellular level. Some studies have applied these technologies to seeds, enabling further characterization of seed development and germination at the cellular level. Here, we review the current status of the application of single-cell technologies to seeds and present a workflow for conducting single-cell transcriptomics. Additionally, we discuss the integration of single-cell multi-omics, aiming to demonstrate the potential of single-cell technologies in enhancing our comprehension of the spatiotemporal regulations governing seed development and germination.

The olive black scale, Saissetia oleae (Olivier), is a significant pest of olive crops worldwide. The developmental, reproductive, and population growth parameters of S. oleae were evaluated under five constant temperature conditions (18°C to 33°C). Developmental durations significantly decreased with increasing temperatures. Female lifespan decreased from 161.6 days at 18°C to 104.3 days at 33°C, while male lifespan decreased from 96.8 days at 18°C to 49.4 days at 33°C. The highest sex ratio (proportion of females) of 0.35 was observed at 30°C, with pre-adult survival rates of 63%, while survival rates dropped to 28% at 18°C. Parthenogenesis was not observed in females. The total pre-oviposition and post-oviposition periods decreased with increasing temperature, with the longest oviposition period at 33°C (49.6 days). Maximum fecundity was recorded at 33°C (379.0 eggs/female), followed by 30°C (298.6 eggs/female), and decreased sharply at 18°C (90.1 eggs/female). The intrinsic rate of increase (r) was highest at 30 and 33°C (0.038 d⁻1), while the net reproductive rate (R0) peaked at 30°C (104.5 offspring/female). The predicted fecundity of the next generation showed significant potential growth at 27 and 30°C, with the population increasing 65.3 times at 30°C and 39.4 times at 27°C. The developmental threshold for S. oleae was highest for first-instar nymphs (7.58°C), while second-instar nymphs had lower thresholds (1.09–1.65°C), with total pre-adult development requiring 1250 degree-days for both males and females. These findings underscore the significant impact of temperature on the development and reproduction of S. oleae, with implications for pest management in olive orchards.

Several new foraminiferal taxa are described from the Changhsingian carbonates of southern Turkey, and their evolutionary relationships are discussed within the middle to late Permian time frame. Comprising Retroseptellina, Septoglobivalvulina, and Paraglobivalvulinoides, Retroseptellininae n. subfam. originated in the Wordian with thin and dense microgranular walls and became diverse and abundant in Changhsingian strata. Paraglobivalvulina? intermedia n. sp. appeared in the late Capitanian, survived into the Changhsingian, and gave way to completely involute tests of Paraglobivalvulininae. From the class Miliolata, Midiellidae n. fam., consisting of Midiella and Pseudomidiella, is characterized by sigmoidal coiling, and Pseudomidiella sahini n. sp. is probably the youngest known Changhsingian descendant. Glomomidiellopsis? okayi n. sp., which is interpreted as an evolutionary link between Capitanian Hemigordiopsis and Lopingian Glomomidiellopsis, survived into the Changhsingian. In the class Nodosariata, from the fully coiled Robuloides lineage of Robuloididae, Robuloides lata n. sp. and Plectorobuloides taurica n. gen. n. sp. most likely originated from R. lens in the Changhsingian. The R. acutus lineage, characterized by the reduction of laterally thickened hyaline wall and the appearance of evolute coiling, yielded Robuloides? rettorii n. sp. and Pseudorobuloides reicheli n. gen. n. sp. Calvezina anatolica n. sp. and Eomarginulinella galinae n. sp. are interpreted to have evolved from weakly coiled lineages in Robuloididae, whereas Pseudocryptomorphina amplimuralis n. gen. n. sp. is a poorly understood taxon and requires further study. Robustopachyphloia farinacciae n. sp. is interpreted as a descendant of some species within the genus Pachyphloia. The presence of canal-like pores in the wall of some Pachyphloia specimens is suggestive of a new morphological structure in the evolutionary history of the Changhsingian foraminifera.

In this manuscript, we highlight current literature on environmental hygiene techniques to combat reservoirs of antibiotic resistant organisms in the healthcare environment. We discuss several topics for each strategy, including mechanism of action, assessment of effectiveness based on studies, cost, and real-world translatability. The techniques and topics summarized here are not inclusive of all available environmental hygiene techniques but highlight some of the more popular and investigated strategies. We focus on the following: Ultraviolet radiation, hydrogen peroxide vapor, copper-coated surfaces, phages, interventions involving sinks, and educational initiatives.

Pulmonary arteriovenous malformations are abnormal vascular connections between pulmonary arteries and veins, often causing right-to-left shunting. In this report, a 4-year-old boy with low oxygen saturation was diagnosed with a large, complex pulmonary arteriovenous malformation involving four feeding arteries. Percutaneous transcatheter closure was performed using four devices to occlude the major feeding arteries, resulting in increased arterial oxygen saturation from 72 to 98%. This report depicts the successful use of multiple devices for percutaneous closure of a complex pulmonary arteriovenous malformation in a child and highlights the minimally invasive and effective nature of this approach.