RESUMEN
Environmental issues have a worldwide impact on water bodies, including the Danube Delta, the largest European wetland. The Water Framework Directive (2000/60/EC) implementation operates toward solving environmental issues from European and national level. As a consequence, the water quality and the biocenosis structure was altered, especially the composition of the macro invertebrate community which is closely related to habitat and substrate heterogeneity. This study aims to assess the ecological status of Southern Branch of the Danube Delta, Saint Gheorghe, using benthic fauna and a computational method as an alternative for monitoring the water quality in real time. The analysis of spatial and temporal variability of unicriterial and multicriterial indices were used to assess the current status of aquatic systems. In addition, chemical status was characterized. Coliform bacteria and several chemical parameters were used to feed machine-learning (ML) algorithms to simulate a real-time classification method. Overall, the assessment of the water bodies indicated a moderate ecological status based on the biological quality elements or a good ecological status based on chemical and ML algorithms criteria.
Asunto(s)
Inteligencia Artificial , Monitoreo del Ambiente/métodos , Ríos/química , Contaminantes Químicos del Agua/química , Contaminación del Agua/análisis , Calidad del Agua/normas , Algoritmos , Animales , Ecosistema , Invertebrados , Agua/análisisRESUMEN
OBJECTIVE: To analyze the association between low bone mineral density (BMD), metabolic syndrome (MS) and sex hormones deficiency in men. METHODS: We included in this retrospective study 199 men with osteoporosis or osteopenia and 167 men with normal BMD as controls, aged between 55-85 years old. Patients' evaluation included: medical history and physical examination, X-ray of thoracic and lumbar spine, measuring BMD at hip and lumbar spine, serum glucose and lipid profile, serum levels of total testosterone (tT), free testosterone (fT) and estradiol (E2). RESULTS: The results revealed a significant association between low BMD and MS (p=0.011). Vertebral fractures were more frequently associated with MS (p=0.041). Patients with MS had lower vertebral BMD (p=0.037) and lower E2 levels (p=0.024) compared with those without MS. In men with MS, E2 deficiency can predict the value of vertebral and hip BMD. fT deficiency can predict only the value of hip BMD. CONCLUSIONS: A significant association between MS, low BMD, vertebral fractures and sex steroids deficiency, in particular E2 and fT was found. The presence of MS and sex hormones deficit can predict the reduction of BMD.