This paper presents an Unmanned Aerial Vehicle (UAV) platform used for the competition held at the International Conference for Unmanned Aircraft Systems 2022 (ICUAS’22). The envisioned scenario in ...the competition is delivering an extinguishing ball to a fire with a UAV. Driven on that thought, the qualifying round of the competition is organized in a realistic simulation environment. The competitors are required to navigate through a cluttered environment into a free space, where they perform a search for the target and deliver the ball as close as possible to that target. The competition finals were organized as a part of the conference, with the same goal as in the simulation qualifiers. The UAVs used for the competition are prepared and provided by the organizers. A detailed description of the UAV software and hardware is outlined in the paper as a step towards standardizing aerial research platform.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
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•Soil geochemical fingerprints influence transfer and elemental composition of EVOO.•Direct link between elements in provenance soil and EVOO was proven.•Multielement and C isotopic ...composition can be used for authentication of EVOO.
A capacity to determine the provenance of high-value food products is of high scientific and economic interest. With the aim to develop a tool for geographical traceability of Croatian extra virgin olive oils (EVOO), multielement composition and 13C/12C isotope ratio in EVOO as well as the geochemistry of the associated soils were analysed in samples collected from three regions along the Croatian Adriatic coast. Soil geochemistry was shown to influence the transfer and elemental composition of EVOO. The most discriminating variables to distinguish EVOO from different regions were S, Mo, Rb, Mg, Pb, Mn, Sn, K, V and δ13C. The predictive models achieved high sensitivity and specificity, especially when carbon isotope composition was added. The results suggest that interregional geographical traceability of Croatian EVOO is possible based on matching their multielement composition with that of the soils in the provenance area.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Climate change has a significant impact on the agricultural sector, negatively affecting plants’ growth and development, with predicted strong consequences on food availability in the future. ...Although we are experiencing more frequent and intense heavy rainfall events, a major contributor to field flooding, there is still not much known about the impact of these events on different crops. In this study, we investigated the effects of waterlogging on a model plant white cabbage (Brassica oleracea var. capitata f. alba), with the aim to follow its response to both single and recurrent short-term (72-h length) waterlogging, as well as to track difference in the sensitivity between plants in different growth stages (38- and 48-day-old plants). In our 22-day experiment, settled under fully controlled conditions (16 h day/8 h night, 25 °C day/20 °C night, 60–70% relative air humidity, 250 µmol m−2 s−1 photosynthetic active radiation), with the aim to more comprehensively recognize consequences of waterlogging on plants, we measured changes in plants on multiple levels: (i) within its morphological traits (number and length of leaves, leaf area, and blade width), (ii) within chlorophyll fluorescence and multispectral traits (20 parameters), (iii) following the levels of plant stress parameters (salicylic acid, abscisic acid, proline, and total polyphenols), and (iv) following changes in the plants’ elemental and mineral composition. According to our results, white cabbage was shown not to be very sensitive to waterlogging, with only plants exposed to repeated waterlogging showing signs of the congestion stress. These signs, observed in the changes of molecular stress parameters salicylic and abscisic acids, were not so clearly evident at the aboveground level. We did not observe changes in the plants’ morphologies, nor their photosynthetic performance. In addition, removal of waterlogging stress resulted in complete recovery of our model plants, suggesting a prompt adaptation response of white cabbage. With the projected increased frequency of occurrence of flooding events, it will become increasingly more important to recognize crops being highly sensitive to flooding with the aim to try to adapt to the changing climate.
Extreme events have produced more rain and became more frequent in many regions around the world, and these trends will rise with the warming of the planet. The vulnerable agricultural sectors, ...directly dependent on the climate, is predicted to be significantly affected by climate change, with an expected decline in future crop yields. We provide data on the effects of floods, because of excessive rain, on the agricultural sector in Croatia, with emphasis on its northern Pannonian region. Data collected for the period 2015-2020 are based on a 34-question survey, conducted among farmers previously reporting on climate-related damages to their crops. With almost 80% of farmers having experienced flooding on their field plots in the last 5 years (mostly short-term flooding, i.e. waterlogging of up to seven days), it is clear that this type of investigation needs further attention. Data suggested that floods most often occurred in the plant germination phase (before the 5th leaf) representing a risk for plant damage and consequent reduction in yields. A combination of mitigation and adaptation measures could minimize water retention in the fields and reduce damage, however, our survey implied that farmers scarcely use such measures. Knowledge gained in this study represents the first step toward understanding potential negative effects of the extreme events on the fragile agricultural sector in Croatia and could help authorities in decision making with the aim to reduce the degree of uncertainty associated with climate change effects.
This letter presents a compliant exploration framework based on a collaborative robot Franka Panda that builds a 3D plant stem model. The model is built for agricultural plant treatment procedures ...without external sensors, as contact forces are estimated from joint torques and robot's dynamic and kinematic model. By devising an impedance-based exploratory control algorithm capable of following an unknown shape, while being provided with only a general direction in which to explore, we eliminate the need for a precise position controller. Our approach is validated through experiments with several mock-up plant stems, showing that the proposed framework is capable of building a satisfactory 3D model of a plant. The method is evaluated against the ground truth model, and compared to the state of the art approach based on an industrial manipulator with external sensors.
Polycystic kidney disease (PKD) is an inherited autosomal kidney disease which is most commonly identified in Persian and Persian related cats. Positive cats have multiple cysts of various sizes that ...occur in the renal cortex and medulla and occasionally in other abdominal organs. PKD often leads to renal failure which occurs from mid to late in life. Renal cysts can be diagnosed ultrasonographically after 7 weeks of age by an experienced ultrasonographer and a high resolution machine. However, ultrasonography is now being replaced by genetic screening. A total of 340 cats of variable breeds aged from 5 months to 18 years were ultrasonographically examined in the past 7 years at the University Veterinary Small Animal Clinic. Of these, 13.8% were PKD positive with very high prevalence in Persian cats (36%). There was no sex predilection identified. The C
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A transversion at position 3284 on exon 29 of
PKD1 gene, resulting in a stop mutation has been identified in the heterozygous state in eight affected cats examined (Persian breed). All heterozygous cats were also ultrasonographically positive.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
To establish whether there is a statistically significant difference in hematological and biochemical parameters between the patients with premalignant changes of the uterine mucosa and those with ...malignant changes. The aim is to establish whether hematological and biochemical parameters may be useful in predicting the stages of endometrial malignancy and in differentiating premalignant and malignant endometrial changes.
A retrospective study included 100 patients (70 with endometrial carcinoma diagnosis and 30 with atypical hyperplasia). We compared hematological and biochemical parameters in both groups.
CRP, granulocytes, platelets, neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) are statistically significantly higher in patients with malignant changes. Lymphocyte count is statistically significantly lower in patients with malignant changes. Platelet count is statistically significantly lower in patients with stages I and II in comparison to patients with higher disease stage. NLR and PLR have good discriminatory power for carcinoma presence. Patients with advanced changes have statistically significantly higher CRP values, higher granulocyte and platelet count, as well as higher values of NLR and PLR, and statistically significantly lower values of lymphocytes and MPV in comparison to benign changes.
There is a possibility of using hematological and biochemical parameters in the assessment of endometrial changes as well as in the prediction of stages, in confirmed malignant changes of the endometrium.
