MAES implementation in Greece: Geodiversity.

The present study aims to support the Mapping and Assessment of Ecosystems and their Services (MAES) implementation in Greece, by synthesizing an indicator that could be used for abiotic attribute assessments and specifically for geodiversity. Such an indicator can be used not only for reporting obligations under EU initiatives but also for identifying "conservation hotspots". Such areas, characterized by rich geodiversity, are important for supporting biodiversity and other ecosystem services. In addition, identification and mapping of threats to those areas, due to natural or anthropogenic processes, can be used for the introduction or reformation of protective environmental legislation. The geodiversity indicator has been compiled using geological, geomorphological, climatic, pedological and hydrological data layers, while threats to geodiversity have been produced by integrating the sub-indices of erosion, protection level, land degradation, mineral and/or ore extraction activity, and the concentration of wildfire ignition sites. Finally, a bivariate map highlights geodiversity "hotspots" in Greece, which were found to correspond in most cases with locations of rich geodiversity and poor protection from adverse natural or human induced processes, mainly due to the lack of protective legislation. The study's outcomes provide a baseline for scientifically informed decisions for conservation, management and spatial planning, while simultaneously complying with EU and national legislation and strategies for nature conservation and integrated development.

Romiplostim as Adjunctive Treatment of Refractory Amegakaryocytic Immune Thrombocytopenia in a Dog.

A 9-year-old, intact male, mixed-breed dog was admitted with a 3-day history of severe thrombocytopenia and bleeding diathesis. Physical examination revealed mucosal and cutaneous petechiae and ecchymoses, melena, and gross hematuria. Clinicopathologic evaluation indicated severe thrombocytopenia, anemia, and panhypoproteinemia. Serology for common endemic vector-borne pathogens was negative and thoracic and abdominal imaging was unremarkable. Bone marrow aspiration cytology revealed aplasia of the megakaryocytic lineage, in the context of a mildly hypoplastic myeloid and a normal erythroid series. A diagnosis of presumptive primary amegakaryocytic immune thrombocytopenia (ITP) was established. Treatment with vincristine, prednisolone, and mycophenolate mofetil along with several whole blood transfusions failed to achieve clinical and clinicopathologic remission. As an adjunct treatment, romiplostim was administered at a cumulative dose of 15 µg/kg, subcutaneously, in 2 sessions, 1 week apart, and complete clinical and hematological remission was noted 8 days postinitiation of romiplostim. Thirty-eight months later, the dog remains clinically healthy with no evidence of hematological relapse. Romiplostim could be a promising adjunctive treatment option in dogs with refractory ITP.

Development of novel hybridized models for urban flood susceptibility mapping.

Floods in urban environments often result in loss of life and destruction of property, with many negative socio-economic effects. However, the application of most flood prediction models still remains challenging due to data scarcity. This creates a need to develop novel hybridized models based on historical urban flood events, using, e.g., metaheuristic optimization algorithms and wavelet analysis. The hybridized models examined in this study (Wavelet-SVR-Bat and Wavelet-SVR-GWO), designed as intelligent systems, consist of a support vector regression (SVR), integrated with a combination of wavelet transform and metaheuristic optimization algorithms, including the grey wolf optimizer (GWO), and the bat optimizer (Bat). The efficiency of the novel hybridized and standalone SVR models for spatial modeling of urban flood inundation was evaluated using different cutoff-dependent and cutoff-independent evaluation criteria, including area under the receiver operating characteristic curve (AUC), Accuracy (A), Matthews Correlation Coefficient (MCC), Misclassification Rate (MR), and F-score. The results demonstrated that both hybridized models had very high performance (Wavelet-SVR-GWO: AUC = 0.981, A = 0.92, MCC = 0.86, MR = 0.07; Wavelet-SVR-Bat: AUC = 0.972, A = 0.88, MCC = 0.76, MR = 0.11) compared with the standalone SVR (AUC = 0.917, A = 0.85, MCC = 0.7, MR = 0.15). Therefore, these hybridized models are a promising, cost-effective method for spatial modeling of urban flood susceptibility and for providing in-depth insights to guide flood preparedness and emergency response services.