Search Results (3)

Atmospheric water (AW) is currently recognized as a promising solution to mitigate the global water crisis. Nevertheless, its harvesting techniques should balance three main aspects: energy consumption, yield, and the quality of produced water. Water quality is of the utmost importance, because the potential uses of atmospheric water—and therefore its value—ultimately depend on this characteristic. Currently, existing indices and indicators intended as evaluation tools for different harvesting techniques generally focus on the first two aspects only, overlooking the quality perspective, with the risk of overestimating the performance of systems that require less energy but provide low-quality water. This study fills this knowledge gap by proposing a new evaluation tool, the Atmospheric Water Energy–Quality Index (AWEQI). This index links the energy evaluation of an Atmospheric Water Generator (AWG)—a term referring to all active, passive, or hybrid systems for atmospheric water collection—to the quality of the produced water. The index is constructed through an appropriate reformulation and combination of the Water Energy Transformation (WET) indicator and the Water Quality Index (WQI) to obtain a monotonic function whose values increase with improved performance, both in terms of energy efficiency and water quality. Moreover, based on a literature review, the study presents an analysis of potential AW contaminants and their sources, and proposes two parameter sets to be considered in the WQI calculation. Full article

Background and Objectives: Sarcopenia and lower urinary tract symptoms (LUTSs) are both prevalent among older adults and may share underlying pathophysiological mechanisms. However, their association has not been systematically quantified. This systematic review and meta-analysis aimed to evaluate the association between sarcopenia and LUTSs, including the pooled estimates of prevalence and odds ratios (ORs), and to explore the influence of diagnostic definitions and study-level factors. Materials and Methods: A comprehensive literature search was conducted using PubMed and Embase for studies published between 1 January 2000 and 26 April 2025. This study adhered to PRISMA and MOOSE guidelines and was registered in PROSPERO (CRD420251037459). Eligible observational studies reported LUTS prevalence or ORs in individuals with sarcopenia, low muscle strength (LMS), low lean mass (LLM), low gait speed (LGS), or sarcopenia risk identified by SARC-F (score ≥4). Pooled ORs and prevalence rates were calculated using a random-effects model. Subgroup analyses were performed based on sarcopenia definitions—Asian Working Group for Sarcopenia (AWGS) and European Working Group on Sarcopenia in Older People (EWGSOP)—as well as LUTS subtypes and diagnostic components. Univariate meta-regression assessed associations with age, BMI, sex distribution, WHO region, and risk of bias. Results: Twenty-five studies comprising 84,484 participants were included. Sarcopenia was significantly associated with LUTSs (pooled OR = 1.78; 95% CI: 1.29–2.45; p < 0.001), with a pooled LUTS prevalence of 43.2% (95% CI: 26.9–61.0%). Stronger associations were observed in studies using AWGS diagnostic criteria (OR = 2.24; 95% CI: 1.41–3.56; p = 0.001), in those evaluating severe sarcopenia (OR = 1.66; 95% CI: 1.03–2.68; p = 0.038), and in institutionalized populations (OR = 3.68; 95% CI: 2.18–6.24; p < 0.001) compared to community-dwelling populations (OR = 1.43; 95% CI: 1.06–1.92; p = 0.018). Sarcopenia risk identified by SARC-F (score ≥4) showed the strongest association with LUTSs (OR = 3.20; 95% CI: 1.92–5.33; p < 0.001). Significant associations were also found for LLM (OR = 1.52; 95% CI: 1.19–1.95; p = 0.001) and LGS (OR = 1.37; 95% CI: 1.06–1.76; p = 0.015), but not for LMS (OR = 0.94; 95% CI: 0.47–1.89; p = 0.871). Exploratory analyses comparing LLM diagnostic modalities—including standardized criteria (ASMI, ASM/BMI), imaging-based methods (SMI, PMA), and surrogate measures (calf circumference)—revealed no significant differences (all p > 0.05). Heterogeneity was high (I² > 90%). Egger’s test indicated no evidence of publication bias (p = 0.838), and trim-and-fill analysis did not affect the pooled estimates. Conclusions: Sarcopenia—particularly in its severe forms—is significantly associated with LUTSs. Additionally, individuals who screened positive for sarcopenia using the SARC-F tool demonstrated a heightened risk of LUTSs. Subgroup analyses revealed a stronger association in institutionalized populations, suggesting that care setting may modify risk. These findings underscore the importance of assessing muscle health in older adults with urinary symptoms. Standardization of diagnostic criteria and longitudinal studies are needed to clarify causality and guide targeted interventions. Full article

In the context of an increasing water crisis and rising energy consumption, an integrated approach to plant design and improvement can be highly effective. Specifically, the use of advanced multipurpose Atmospheric Water Generator (AWG) machines, integrated into existing or new HVAC systems, can improve efficiency while simultaneously extracting atmospheric water. However, hybrid plant configurations, which encompass both integrated and traditional solutions, can be difficult to assess. This paper presents a brief review of the most widely used AWG evaluation tools and proposes a new index, called AGEI, designed to address the knowledge gap in evaluating hybrid plants from an efficiency perspective. The paper shows how this index provides results that more accurately reflect the real efficiency of hybrid plant configurations compared to the Global Evaluation Index (GEI), which is the only existing tool addressed to the evaluation of integrated multipurpose machines. The work is complemented by the application of AGEI to three complex hybrid plant configurations, two of which include a bottling system supplied by desalination for drinking water production. The index is straightforward and requires only knowledge of the useful effects produced by the analysed plant and their corresponding efficiency indicators. Full article