The main objective of this research is to analyze the family structure and functioning accordin to a group of families with children dignosed with cancer from the information provided by their mothers. The authors interviewed forty mothers of oncological patients aged between 4 and 13 years about the structure and family functioning during the disease process. The following standardized assessment instruments were used: Family Environment Scale (FES), Family Adaptation and Cohesion Scales (FACES III), Family Functioning Style Scale (FFSS) and the Family Satisfaction by Adjectives Scale (SFSA). The differences between the general population and mothers of children with cancer were analyzed through subscales describing the family social climate, factors and dimensions of cohesion and family Adaptation, and family functioning style. Overall, the results showed a predominant pattern of family structure adapted to the disease. Thus, the study confirms the presence of family factors and variables of a functional nature despite the radical transformation of family life involved in the adaptation to the disease.
Groundwater is an important resource of limited extent, so an accurate assessment is necessary to ensure regular use especially because weather conditions became more severe. This study aims to identify potential zones of groundwater recharge using a model based on remote sensing and GIS. This model combines seven main factors: geology, land use, soil, lineaments density, drainage density, precipitation and slope, these thematic layers are extracted from maps of Nabatiyeh : geological map, soil map, contour lines map, lineaments map, rainfall map, satellite images (GEOEYE-1) and natural resources map. Actually, the multilayers were weighed using MIF method .The final map is divided into three classes: low, moderate, high. The results revealed that 71% of the total area is identified as high potential for groundwater recharge. The intersection between groundwater recharge map and Land use map allow creating map of risk which is classified into three categories: high, moderate and low. This map revealed that 83% of the total area is identified as high and moderate risk. The study of land use of risky terrains helps determine the main factors of pollution. Among the risky areas, we chose the village of Kfour to classify terrains in order to protect GWR zones.