Influence of climate change on wastewater treatment plants performances and energy costs in Apulia, south Italy.

This paper studies the influence of temperature and of rainfall intensity and the effect of such variations on the treatment efficiencies and on the electrical consumptions in seven medium-large size Wastewater Treatment Plants (WWTPs) in Apulia in South Italy (Bari, Barletta, Brindisi, Lecce, Foggia, Andria and Taranto). It has been observed, in the considered WWTPs, a slight but clear increase of the incoming flow due to the increase in rainfall intensity, which results to an increase of the energy consumption per incoming volume. The impact of the climate change to the incoming flow, during the last five years (2016-2020), has been assessed indicating that an increase in rainfall intensity results to an increase of the WWTPs energy consumptions per wastewater treated volume. More specifically, for a specific WWTP (Lecce) it was found that the electrical consumption increases from 0.36 kw/m3 to 0.51 kw/m3 when the rainfall intensity was increased from 0.8 mm/min to 2.9 mm/min. Some adaption measures have been considered to upgrade the existing WWTP so to mitigate the energy increase and to limit the global effects of climate change.

Evaluation of greenhouse gas emissions from aerobic and anaerobic wastewater treatment plants in Southeast of Italy.

An evaluation of the operative functioning data of 183 Wastewater Treatment Plants (WWTPs) in Apulia (Southeast of Italy) has been carried out aimed to assess their Green House Gases (GHGs) emissions and the level for which the use of anaerobic sludge treatment should be more convenient in terms of electricity consumption and of GHGs emissions. Out of the 183 studies WWTPs, 140 are practicing aerobic digestion of sludge, while the remaining 43 are practicing anaerobic digestion of sludge. WWTPs in Apulia are serving about 4,81 million PE (Population Equivalent), yielding approximately 600,000-ton equivalent CO2 per annum. The production of GHGs emissions has been estimated by evaluating the contribution of CO2 deriving from: a) electric energy consumption (fossil CO2), b) biogenic CO2, c) N2O and d) CH4 emissions. The present study investigates a number of technical measures for upgrading the existing WWTPs, so to reduce GHGs emissions through the amelioration of CH4 production and capture in the anaerobic step, and through reducing the production of biogenic N2O and CO2 emissions in the aerated basin. The methodology employees artificial intelligence-based control for upgrading the aerobic oxidation of the organic carbon and the nitrification-denitrification steps. As a result, GHGs emissions are expected to be reduced by approximately: 71% for CH4, 57% for N2O, 20% for biogenic CO2 and 15% for fossil derived CO2.

Quantification of Frailty Syndrome in ICU Patients with Clinical Frailty Scale.

Quantification of frailty is useful both for understanding the nature of the syndrome and for designing an ICU care plan for patients that suffer from it. Knowing the needs and deficits of each patient individually, it is possible to create a care plan suitable to cover all the patients' needs. Tools used to date to quantify frailty syndrome are the Fried phenotype, Frailty index, Edmonton Frailty Scale, and Clinical Frailty Scale. The Clinical Frailty Scale is one of the most user-friendly scales with particular predictive value. By recording and analyzing the information collected and ranking ICU patients at nine points on the scale, it is possible to draw valid predictive conclu-sions about the mortality or institutionalization needs that are present within the next five years.

Frailty in elderly ICU patients in Greece: a prospective, observational study.

BACKGROUND: Of particular interest is the study of frailty syndrome in older patients in recent years. This syndrome is characterized by weight loss and muscle mass, a change in eating habits, movement and endurance, and a decline in cognitive function. The purpose of the study was the prevalence of frailty syndrome in subjects aged 65 years who were hospitalized in an intensive care unit (ICU) in Greece. METHODS: This is a prospective, observational study. The study sample consisted of families or carers of 36 patients over 65 years of age. The study was conducted in a General Hospital in Greece, over a period of 1 year. The Clinical Frailty Scale (CFS) and the 5 criterions frailty phenotype were used. In addition, the severity of the patients with the APACHE II, SAPS II and SOFA scales was assessed. For the analysis of the data, the SPSS 19 for windows statistical package was used and more specifically descriptive statistics and correlations with parametric methods were performed. RESULTS: Thirty-six severely ill patients aged 65 years and over (22 women, 14 men) were studied. 25% of the patients had a positive frailty phenotype, 44% were at an early stage, while 30.6% had a frailty negative phenotype. A significant correlation between CFS and APACHE (P=0.041), age (P=0.033), sex (P=0.049) and ADL mobility index (P=0.001) was found to be significant. Concerning mortality, 36.1% of patients died in ICU, 11.1% died within the next 6 months and 38.9% were alive. CONCLUSIONS: The findings of the study highlighted the onset of frailty syndrome in ICU patients. The objective assessment of the frailty syndrome of the seriously ill patient as well as the prognostic markers provides a clearer picture of its out-of-hospital condition and contributes to the collection of information on the outcomes of the in-hospital treatment.

Application of ultra performance liquid chromatography-mass spectrometry to profiling rat and dog bile.

Reversed-phase gradient UPLC-ESI-MS, in both positive and negative ionization modes, has been applied to the analysis of untreated bile obtained from bile-cannulated rats and dogs. The use of UPLC provided a high-resolution system that enabled global metabolite profiles of bile from the two species to be obtained that were suitable for metabolomic and metabonomic applications. When these metabolite profiles were analyzed using unsupervised multivariate statistical methods, based on principle components analysis (PCA), they were correctly classified by species of origin. Conventional approaches to characterizing sample components via, for example, mass and retention time compared to authentic standards resulted in the identification of a range of bile acids. In addition, the value of using an "MSE" approach to simplify the problem of classifying and identifying the metabolites present in the sample (as e.g., sulfates or taurine conjugates) was demonstrated.