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  • Item type: Item ,
    Modelling temperature-dependent schistosomiasis dynamics for single and co-infections with S. mansoni and S. haematobium
    (2025) Tabo, Zadoki; Breuer, Lutz; Albrecht, Christian
    Schistosomiasis, a prevalent public health issue specifically in sub-Saharan Africa, is primarily attributed to Schistosoma haematobium and Schistosoma mansoni, often occurring concurrently. These schistosome species share similarities in life cycles and transmission, manifesting comparable infection patterns and susceptibility to temperature variations. This study investigates the influence of temperature control not only on the transmission of individual species but also on their mutual interactions and co-infection dynamics using a mathematical model. Sub-models and co-dynamic properties, including reproduction numbers, equilibrium states, and stability conditions, are derived. Sensitivity analysis is performed to clarify the impact of parameter variations on model stability. Results suggest that temperature variation increases the spread of S. haematobium, which enhances susceptibility to S. mansoni co-infection, possibly by altering the immune response. At moderate temperatures (20°C and 25°C), infection levels in both single and co-infected individuals are higher, while recovery rates increase with temperature, peaking at 25°C and 35°C as infections significantly decrease. Biomphalaria snails exhibit greater population growth and susceptibility to infection than Bulinus snails, particularly below 25°C. Above this temperature, Biomphalaria population decreases while Bulinus species are more likely to experience faster mortality. These temperature-related variations differently impact mortality rates of intermediate snails and snail-to-human transmissibility rates for schistosome species, holding significant health implications. Targeting snails during seasons below 25°C, when susceptibility is higher, and intensifying human treatment interventions around 25°C–35°C, where recovery rates peak, may yield optimal results, particularly during seasons with intermediate temperatures around 25°C for both snails and humans. The results underscore the importance of integrating temperature into models for predicting and managing schistosomiasis dynamics for both genera. Therefore, this model is applicable not only to sub-Saharan Africa, but also to other regions where the described temperature ranges match with the local climate.
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    Exploring for gloss : active exploration in visual material perception
    (2025) Lin, Lisa P. Y.; Drewing, Knut; Dörschner-Boyaci, Katja
    Image motion contributes to the perception of visual material properties, and motion signals are generated during active exploration. However, little is known about how specific perceptual tasks influence the actions that generate these cues. In an experiment using virtual reality and real-time hand tracking, we investigated how the demands of perceptual tasks (e.g., judging gloss or lightness) shape exploratory behaviors. Participants either observed or actively explored objects varying in gloss and lightness while performing a matching task. We analyzed how their exploration patterns varied based on the tasks. Using the same stimuli in both tasks, we found that participants explored objects more extensively when judging gloss than when judging lightness. These findings suggest a strategic prioritization of relevant cues for gloss judgments, with participants using larger movements and object rotation to enhance viewing perspectives and highlight detection. Our findings show that exploration behaviors are task dependent, with actions adapted to the demands of the perceptual task at hand.
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    Association of stress and inflammatory diseases with serum ferritin and iron concentrations in neonatal calves
    (2025) Sickinger, Marlene; Jörling, Jessica; Büttner, Kathrin; Roth, Joachim; Wehrend, Axel
    This study investigated the effects of iron supplementation and inflammatory disease on cortisol, white blood cell (WBC) count, total protein (TP), lactate, interleukin 1 β (IL1β), interleukin 6 (IL6), substance P (SP), hepcidin, haptoglobin, and ferric-reducing ability of plasma (FRAP) in calves. Correlation analyses for the aforementioned parameters with serum iron and ferritin were performed in 40 neonatal calves over the first 10 days of life. Neither iron supplementation, disease status, nor sex had statistically significant effects on the areas under the curve of ferritin, WBC, TP, IL1β, IL6, SP, hepcidin, haptoglobin, or FRAP. However, cortisol concentrations were influenced by disease development. Cortisol concentrations were higher at birth (44.1 ± 1.95 ng/mL) than on day 2 (38.8 ± 1.87 ng/mL) (p = 0.0477), and healthy animals exhibited lower cortisol concentrations than diseased calves (p = 0.0028). Correlation analyses indicated weak positive correlations between ferritin and IL1β (p = 0.0015; ρ = 0.49) and IL6 (p = 0.0011; ρ = 0.50), respectively. The clinical significance of these findings and resulting therapeutic consequences, especially with respect to iron supplementation, should be further investigated in calves and adult cattle.
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    Exploring the potential and challenges of Lathyrus sativus (grass pea) in European agri-food value chains : a dross-country analysis
    (2025) Solovieva, Irina; Miteva-Bölter, Pavlina; Knez, Marija; Bessai, Ann-Kathrin; Barilli, Eleonora; Kasperczyk, Nadja; Ranic, Marija; Gurinovic, Mirjana; Luna Casado, Pedro Jose; Alba Morales, Nicolas; Sanchez, Manuel; Tisseyre, Cyril; Schaer, Burkhard; Xoplaki, Elena
    Modern agri-food systems demand crops that are climate change resilient, support environmental sustainability, enhance dietary diversity and appeal to consumers. This article examines the potential of underutilized crops in meeting these challenges. We take Lathyrus as a case study and examine it within the context of European agri-food value chains, with a particular focus on Germany and Spain. The study employs a range of methods—literature review, interviews, field observations, and consumer opinion surveys —to explore its versatility. The findings reveal that Lathyrus sativus (grass pea) offers significant benefits: it is adapted to dry climates and tolerates high rainfall. As a nitrogen fixing crop, it can play an important role in crop rotations, reducing the need for fertilization and providing an attractive alternative for organic farmers. Through appropriate processing methods, Lathyrus can enhance its beneficial nutritional characteristics. Furthermore, it is well suited for the development of innovative recipes that align with modern culinary trends and meet consumers’ expectations across different cultures. To make use of its potential, adaptive cultivation methods and value chain cooperation are needed. Along the value chain, the affordable pricing of Lathyrus-based products and clear communication of their nutritional, environmental, and social benefits prove to be most critical.
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    Resource characteristics of common reed (Phragmites australis) in the Syr Darya Delta, Kazakhstan, by means of remote sensing and random forest
    (2025) Baibagyssov, Azim; Magiera, Anja; Thevs, Niels; Waldhardt, Rainer
    Reed beds, often referred to as dense, nearly monotonous extensive stands of common reed (Phragmites australis), are the most productive vegetation form of inland waters in Central Asia and exhibit great potential for biomass production in such a dryland setting. With its vast delta regions, Kazakhstan has the most extensive reed stands globally, providing a valuable case for studying the potential of reed beds for the bioeconomy. However, accurate and up-to-date figures on available reed biomass remain poorly documented due to data inadequacies in national statistics and challenges in measuring and monitoring it over large and remote areas. To address this gap in knowledge, in this study, the biomass resource characteristics of common reed were estimated for one of the significant reed bed areas of Kazakhstan, the Syr Darya Delta, using ground-truth field-sampled data as the dependent variable and high-resolution Sentinel-2 spectral bands and computed spectral indices as independent variables in multiple Random Forest (RF) regression models. An analysis of the spatially detailed yield map obtained for Phragmites australis-dominated wetlands revealed an area of 58,935 ha under dense non-submerged and submerged reed beds (with a standing biomass of >10.5 t ha−1) and an estimated 1,240,789 tons of reed biomass resources within the Syr Darya Delta wetlands. Our findings indicate that submerged dense reed exhibited the highest biomass at 28.21 t ha−1, followed by dense non-submerged reed at 15.24 t ha−1 and open reed at 4.36 t ha−1. The RF regression models demonstrated robust performance during both calibration and validation phases, as evaluated by statistical accuracy metrics using ten-fold cross-validation. Out of the 48 RF models developed, those utilizing the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) as key predictors yielded the best standing reed biomass estimation results, achieving a predictive accuracy of R2 = 0.93, Root Mean Square Error (RMSE) = 2.74 t ha−1 during the calibration, and R2 = 0.83, RMSE = 3.71 t ha−1 in the validation, respectively. This study highlights the considerable biomass potential of reed in the region’s wetlands and demonstrates the effectiveness of the RF regression modeling and high-resolution Sentinel-2 data for mapping and quantifying above-ground and above-water biomass of Phragmites australis-dominated wetlands over a large extent. The results provide critical insights for managing and conserving wetland ecosystems and facilitate the sustainable use of Phragmites australis resources in the region.