Cystic echinococcosis is a zoonosis caused by Echinococcus granulosus sensu lato, which leads to serious public health problems. Considerable phenotypic variation has been described between parasites depending on the intermediate host and genotype. Knowledge of species/genotypes present in an endemic region is clue for control programs. Although DNA sequencing is the most accurate tool for this purpose, its high cost makes it less affordable. A multivariate study of the morphometric parameters of rostellar hooks of E. granulosus sensu lato of human origin from Neuquén was carried out using Principal Components Analysis and classification trees. A valid classification criterion to differentiate E. granulosus species using morphometry of rostellar hooks in human hydatid cysts was determined. Seventy-six human fertile hydatid cysts (48 E. granulosus sensu stricto G1 and G3, and 28 E. canadensis G6) were included. Overall, 2,280 hooks were measured. The rostellar hooks belonging to E. granulosus sensu stricto were significantly smaller than those of E. canadensis. The Large Total Length (LTL) was sufficient to classify a new isolate into the 2 species: if LTL < 25.3 μm, then it corresponds to E. granulosus sensu stricto, and if LTL ≥ 25.3 μm to E. canadensis. This is the first multivariate study that establishes a morphometric cut-off value to discriminate between 2 species of E. granulosus sensu lato from human patients, using a significant number of cysts of both species identified by sequencing of mitochondrial genes. It constitutes a useful predictive tool in endemic areas where both human infective species overlap.

Evidence supports plant-based dietary patterns for preventing cardiovascular diseases (CVD)(1). Fat mass is a strong predictor of CVD(2), however it’s unclear whether this mediates the relationship between plant-based dietary patterns and CVD. Hence, the aim of this study was to determine if longitudinal associations between plant-based dietary patterns and incidence of CVD events, CVD mortality and all-cause mortality are mediated by fat mass in mid-life. Dietary data (Oxford WebQ) from 14,247 adults (median 56 years [IQR 49–61]) in the UK Biobank cohort study were used to derive diet quality index scores for an overall plant-based diet (PDI), a healthy plant-based diet (hPDI), and a less healthy plant-based diet (uPDI). Health registries and national records provided CVD event and mortality data. Percentage fat mass was measured by dual X-ray absorptiometry. Cox proportional hazard ratios (95% CI) identified associations between each diet quality index and CVD events, CVD mortality or all-cause mortality. Regression-based mediation analysis was used to identify the direct effect (plant-based diet quality indices on CVD mortality, CVD events, or all-cause mortality), and the indirect effect, which was mediated by fat mass. New CVD events (n = 364), CVD mortality (n = 52) and all-cause mortality (n = 220) were identified with mean follow up of 11.6 (SD ± 0.4) years for CVD events, and 11.5 (SD ± 0.7) years for mortality. The mean score for PDI was 50.5 (SD ± 5.9), hPDI 52.8 (SD ± 7.2), and uPDI 54.0 (SD ± 6.8). The PDI and hPDI were inversely associated with fat mass, and the uPDI was positively associated with fat mass (p < 0.001). There was no association between the diet quality indices and health outcomes, with (direct effect) or without (total effect) the fat mass mediator for males and females (p ≥ 0.1). Fat mass was associated with risk of mortality in some models, after controlling for the indices, such as a lower risk of all-cause mortality after controlling for the hPDI (p < 0.1). There was a significant negative indirect effect of hPDI on CVD mortality via fat mass for females only (observed coefficient 0.81; 95% CI 0.60–0.99). Overall, there was limited evidence of a mediating effect from fat mass in the association between plant-based dietary patterns and incidence of CVD events, CVD mortality and all-cause mortality. Studies with larger samples and longer follow up are needed to determine whether the mediating effect of fat mass on hPDI and CVD mortality in females is reproducible.

In this article, a genetic algorithm (GA) is proposed as a solution for the path planning of unmanned aerial vehicles (UAVs) in 3D, both static and dynamic environments. In most cases, genetic algorithms are utilised for optimisation in offline applications; however, this work proposes an approach that performs real-time path planning with the capability to avoid dynamic obstacles. The proposed method is based on applying a genetic algorithm to find optimised trajectories in changing static and dynamic environments. The genetic algorithm considers genetic operators that are employed for path planning, along with high mutation criteria, the population of convergence, repopulation criteria and the incorporation of the destination point within the population. The effectiveness of this approach is validated through results obtained from both simulations and experiments, demonstrating that the genetic algorithm ensures efficient path planning and the ability to effectively avoid static and dynamic obstacles. A genetic algorithm for path planning of UAVs is proposed, achieving optimised paths in both static and dynamic environments for real-time tasks. In addition, this path planning algorithm has the properties to avoid static and moving obstacles in real-time environments.

Consumer interest in plant-based diets has increased, alongside significant growth in the availability of plant-based meat and dairy alternatives in supermarkets(1). The nutritional profile of these products is likely to vary due to the broad range of ingredients used(2). Food composition databases, such as the Australian Food Composition Database (AFCD), are used extensively in research, practice, and policy, including by nutrition and dietetics researchers and health professionals to identify the nutrient content of foods. However, it is unclear if, and to what extent, the AFCD data on plant-based alternatives reflects the current food supply. This study aimed to examine the range and composition of plant-based meat and dairy alternatives available in Australian supermarkets and compare this with the AFCD. Data on core plant-based meat and dairy alternatives were collected from eight Melbourne supermarkets between June and October 2022 using the CSIRO FoodTrackTM database methodology(3). Products were included if they were i) meat or dairy substitutes outlined in the AFCD; or ii) plant-based alternatives for core meat and dairy included in the Australian Dietary Guidelines. Product images were taken, and data was transcribed. Products collected in supermarkets were then ‘matched’ to the most appropriate reference item in the AFCD. In total, 455 meat alternatives (n = 219 legumes/pulses; n = 178 meat substitutes; n = 38 tofu/tempeh; n = 20 sausages) and 249 dairy alternatives (n = 157 milk; n = 52 cheese; n = 40 yoghurt) were identified. Over half of the plant-based meat substitutes (n = 102; 57%) were made from a soy/wheat/pea base protein. Of the dairy alternatives, just over half of the cheese substitutes had coconut as their main ingredient (n = 28; 54%), and almost two-thirds of yoghurts were coconut-based (n = 28; 70%). The majority of the 157 milks were oat-based (n = 57; 37%), followed by almond (n = 45; 29%), and soy (n = 27; 17%). Many supermarket products were not reflected in the AFCD, including over two-thirds of dairy alternatives (n = 159; 67%), and one-third of meat alternatives (n = 150; 33%). This was due to more product options within categories, such as the variety of canned beans/legumes (n = 96) and flavoured milk substitutes (n = 34) available in supermarkets, and a greater variety of main ingredients used, most notably for cheese substitutes (n = 52). This study highlights that the range of plant-based meat and dairy alternatives available in Australian supermarkets is diverse, with many different base ingredients used, and a great range of products available in-store than in the AFCD. Findings highlight the challenges of food composition databases in keeping up to date with the fast-growing plant-based sector. Outcomes from this study have implications for the monitoring of the food supply and population level dietary data.

Within rural Australia, only 47% and 9% of adults meet recommendations for fruit and vegetable intake, respectively, which is a leading contributor to the increased risk of non-communicable disease. Previous literature has identified barriers and facilitators to increasing fruit and vegetable intake in rural Australian settings, such as having greater access to fresh produce(1). However, this literature is limited by observing fruit and vegetables as a single food group and small sample sizes. This study aimed to determine the barriers and facilitators to meeting fruit and vegetable recommendations (as separate food groups) in rural Australian adults. It was hypothesised that barriers and facilitators to consumption of fruits and vegetables would be identified at the individual, social-environmental and physical-environmental levels of a socio-ecological framework and these would differ between fruit and vegetables(2). Data from the 2019 Active Living Census were used, completed in the Loddon Campaspe region of north-west Victoria, Australia. Data were available at the level of the individual (socio-demographic characteristics, health behaviours, education level, financial stability), social-environment (household size), and physical-environment (use of community gardens). Information on fruit and vegetable consumption was collected using two open-ended questions asking how many serves were consumed each day. Survey weighting was used to account for the survey design. Descriptive statistics were reported for continuous (mean and standard errors [SE]) and categorical (frequencies) data. Multivariate logistic regression analyses were used to determine odds ratios (OR) and 95% confidence intervals (CI) for meeting fruit and vegetables recommendations according to barriers and facilitators at the individual, social-environmental and physical-environmental level. A total of 13,464 adults with complete data were included in the analysis (51% female; mean age 48 (0.17) years). Mean fruit intake was 2.85 (0.02) serves per day and mean vegetable intake was 1.56 (0.01) serves per day. A total of 48% of participants consumed the recommended two serves of fruit daily, while 19% consumed the recommended five serves for vegetables. Multivariate analyses determined distinct barriers and facilitators to consumption between fruit and vegetables. For example, a larger household size facilitated meeting vegetable recommendations (OR: 1.41; 95% CI: 1.22, 1.63), but not fruit, and greater alcohol consumption was a barrier to meeting fruit recommendations (OR: 1.47; 95% CI: 1.31, 1.64), but not vegetables. Common facilitators across both fruit and vegetables included higher age, lower BMI, being a non-smoker, and engaging in more vigorous activity. The results of this research will help inform future policies to increase both fruit and vegetable intake in rural communities, therefore contributing to efforts to improve the health of rural Australians.

Populations of Egyptian spiny mice (Acomys cahirinus dimidiatus) in a fragmented montane wadi system in the Sinai showed significant differences in the abundance of gut helminths. Differences in parasite load between populations were positively associated with measures of androgen activity but showed no significant relationship with glucocorticoid activity. Social discrimination tests with adult males from different wadis showed that those from sites with greater helminth abundance were less likely to investigate odours from other males and were less aggressive when subsequently interacting with the odour donors. Subjects showed markedly more investigation towards the odours of males from distant wadis compared with those from their own or immediately neighbouring wadi, but were less aggressive when confronted with odour donors from distant wadis. Despite this, there was a positive relationship between the amount of investigation towards distant male odour and subsequent aggression towards the male. While aggressiveness was positively associated with measures of androgen and glucocorticoid activity, no significant relationship emerged with individual helminth infection. Thus aggressiveness appeared to relate to overall local population levels of infection rather than individual challenge.

Climate change is expected to affect parasitic nematodes and hence possibly parasite–host dynamics and may have far-reaching consequences for animal health, livestock production, and ecosystem functioning. However, there has been no recent overview of current knowledge to identify how studies could contribute to a better understanding of terrestrial parasitic nematodes under changing climates. Here we screened almost 1,400 papers to review 57 experimental studies on the effects of temperature and moisture on hatching, development, survival, and behaviour of the free-living stages of terrestrial parasitic nematodes with a direct life cycle in birds and terrestrial mammals. Two major knowledge gaps are apparent. First, research should study the temperature dependency curves for hatching, development, and survival under various moisture treatments to test the interactive effect of temperature and moisture. Second, we specifically advocate for more studies that investigate how temperature, and its interaction with moisture, affect both vertical and horizontal movement of parasitic nematodes to understand infection risks. Overall, we advocate for more field experiments that test environmental effects on life-history traits and behaviour of parasitic nematodes in their free-living stages under natural and realistic circumstances. We also encourage studies to expand the range of used hosts and parasitic nematodes because 66% of results described in the available studies use sheep and cattle as hosts and 32% involve just three nematode species. This new comprehension brings attention to understudied abiotic impacts on terrestrial parasitic nematodes and will have broader implications for livestock management, wildlife conservation, and ecosystem functioning in a rapidly warming climate.

In South America, the knowledge of trematode diversity parasitizing freshwater fishes is still scarce, as less than 5% of the freshwater fish fauna has been examined for parasites. A similar situation applies to studies on digenean life cycles, which have become increasingly rare. Among the digenean families parasitizing freshwater fishes in the region, Haploporidae is considered the richest in species diversity. However, information about the developmental stages of haploporid life cycles remains fragmentary. Particularly, in Argentina, nine cercariae attributed to the family Haploporidae have been described using morphological analysis, and only two life cycles of this family have been completely elucidated. In this study a new type of cercaria, morphologically assigned to the family Haploporidae and collected from the snail Heleobia parchappii (Cochliopidae) in Los Padres shallow lake, Buenos Aires province, was identified using morphological and molecular techniques. The molecular analysis, based on 28S and ITS2 sequences, revealed that the cercariae were 100% identical to adult specimens of Saccocoelioides nanii (Haploporidae) parasitizing the fish Prochilodus lineatus (Prochilodontidae) from Los Talas, Buenos Aires province. Our results not only provide information about the life cycle of S. nanii but also show that a molecular and morphological approach can be extremely useful in identifying the developmental stages of digeneans and elucidating their life cycles.

Lee waves generated by stratified flow over rough bottom topography in the ocean extract momentum and energy from the geostrophic flow, causing drag and enhancing turbulence and mixing in the interior ocean when they break. Inviscid linear theory is generally used to predict the generation rate of lee waves, but the location and mechanism of wave breaking leading to eventual dissipation of energy and irreversible mixing are poorly constrained. In this study, a linear model with viscosity, diffusivity and an upper boundary is used to demonstrate the potential importance of the surface in reflecting lee wave energy back into the interior, making the case for treating lee waves as a full water-column process. In the absence of critical levels, it is shown that lee waves can be expected to interact with the upper ocean, resulting in enhanced vertical velocities and dissipation and mixing near the surface. The impact of the typical oceanic conditions of increasing background velocity and stratification with height above bottom are investigated and shown to contribute to enhanced upper ocean vertical velocities and mixing.

This paper describes the application of low-order models to the prediction of the steady performance of axial compressors at sub-idle conditions. An Euler body-force method employing sub-idle performance correlations is developed and presented alongside a mean-line approach employing the same set of correlations. The low-order tools are used to generate the characteristic lines of the compressor in the locked-rotor and zero-torque windmilling conditions. The results are compared against steady-state operating points from three-dimensional (3D) Reynolds-averaged Navier–Stokes (RANS) computational fluid dynamics (CFD) simulations. The accuracy of the low-order tools in reproducing the results from high-fidelity CFD is analysed, and the trade-off with the computational cost of each method is discussed. The low-order tools presented are shown to offer a fast alternative to traditional CFD which can be used to predict the performance in sub-idle conditions of a new compressor design during early development stages.