We report the synthesis and investigation of new biologically active derivatives of dihydropyrimidines, specifically compounds 2 and 3. Detailed NMR spectroscopy experiments reveal the presence of diastereomers and tautomers in these compounds. Compound 2 displays signal splitting into doublets and multiplets, confirming diastereomer presence. For compound 3, both diastereomers and tautomers are observed in solution. An individual diastereomer of compound 3 was successfully isolated. The biological activity of these synthesized compounds was evaluated against various species of the genus Aspergillus fungi, demonstrating significant potential for antifungal applications.
The main objective of this research is to analyze the family structure and functioning according to a group of families with children diagnosed 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 invaluable and limited resource, necessitating precise assessments for sustainable utilization, particularly under increasingly severe weather conditions. This study focuses on identifying potential groundwater recharge zones in the Nabatiyeh district using a model that integrates remote sensing and GIS technologies. The model evaluates seven key factors: geology, land use, soil type, lineament density, drainage density, precipitation, and slope. These thematic layers are derived from various maps of Nabatiyeh, including geological, soil, contour lines, lineaments, rainfall, satellite images from GEOEYE-1, and natural resource maps. By applying the Multi-Influencing Factor (MIF) method, the resulting map classifies the area into three categories: low, moderate, and high potential for groundwater recharge. The findings indicate that 71% of the total area is classified as having high groundwater recharge potential. Additionally, the intersection of the groundwater recharge map with the land use map generates a risk map categorized into high, moderate, and low risk zones. This risk map reveals that 83% of the area is at high or moderate risk. Examining land use in these risky zones is crucial for identifying pollution sources. The village of Kfour was selected for detailed terrain classification to protect groundwater recharge zones.
The shoulder is the most complex and delicate joint complex in the human body. Its movement relies on the coordinated function of five different joints, contributing to its instability. This instability can lead to several conditions, with the most significant being humeral dislocations (accounting for 85% of cases) and acromion-clavicular dislocations (15% of cases). These conditions are observed both in occupational settings and daily life, but they are most prevalent in sports, especially those involving physical contact such as basketball, soccer, wrestling, rugby, and football.
The Polypropylene polymer mixed with curved fibers was injected into a rectangular mold to enhance its thermoplastic properties. This study investigates the effects of fiber orientation on the mechanical properties of the polymer composite. The orientation of short fibers within the polymer matrix was predicted using an image processing method. This method is based on determining the ellipses' orientation and size of fibers from scanned images. The results were validated using ImageJ, confirming the accuracy of the fiber orientation predictions. These findings are crucial for optimizing the mechanical properties of fiber-reinforced thermoplastics.