Water resources and environment quality are nowadays under high pressure because of climate change, land use practices, as well as human actions. A comprehensive gridded dataset becomes a necessary instrument to assess the risk level at regional scale, and also for territorial planning, the defining strategies to address future natural and anthropological challenges. In order to obtain a complete database with the most important parameters at spatial scale, this study is constructed as a preparation of layers used for various environmental risks, but mostly with the climate change effect on the water resources from the Grand Est region, France. In addition, geological formations, terrain data, and land cover were harmonized as grid format for the study area. Thus, the temperature and precipitation parameters, related to the 1961–1990 (1990s), 2011–2040 (2020s), and 2041–2070 (2050s), become useful data for evapotranspiration, water availability, and effective precipitation calculations. The geology layer indicates the composition and types of aquifers and it contributes to the potential infiltration map (PIM). The morphology of the terrain contributes to the slope angle and PIM. Through the typology of land cover, the pollution load index (PLI) was estimated. The findings indicate intense aridization and the depletion of the effective precipitation (below 650 mm) during the present and future periods. With respect to these concerns, the surface waters and groundwater resources from the Grand Est region are experiencing the negative effects of climate change on runoff and aquifers recharge respectively. In addition, the high PLI in the industrial and agricultural areas contribute to the possibility of the increasing water resources vulnerability. The affected areas extend mainly in the western, north-central, and north-eastern parts of the region, mainly in the Rhine, Aube, and Marne Valleys. Considered as a precious resource in the region, the water management should follow best practices for vulnerability and risk assessment, and further to delineate the protection areas. As a comprehensive gridded dataset, the calculations and original maps presented in this paper represent a complex product with main environmental parameters processed at spatial scale of 1 km2 in ArcGIS. This product has the purpose to integrate the geospatial data for the Grand Est region of France.

Skin cancer has the highest prevalence of all cancer, with basal cell carcinoma (BCC) as the most common form. Patients diagnosed with BCC may benefit from various treatments starting from the gold standard treatment (surgical excision) to non-invasive therapeutic approaches. The goal of the treatment is to remove entire tumor without affecting the physical appearance and with maximal preservation of the function. Given the possible medico-legal consequences due to local destructions and local disfigurement and last but not least, the ethical aspect regarding patient-doctor relationship, the treatment decision should be individualized according to the patient's preferences and the assessment of relative risk of recurrence. However BCCs treatment may raise ethical concerns regarding patient's autonomy versus beneficence and the best interest of the patient.