Using nitrogen concentration and isotopic composition in lichens to spatially assess the relative contribution of atmospheric nitrogen sources in complex landscapes

Reactive nitrogen (Nr) is an important driver of global change, causing alterations in ecosystem biodiversity and functionality. Environmental assessments require monitoring the emission and deposition of both the amount and types of Nr. This is especially important in heterogeneous landscapes, as different land-cover types emit particular forms of Nr to the atmosphere, which can impact ecosystems distinctively. Such assessments require high spatial resolution maps that also integrate temporal variations, and can only be feasibly achieved by using ecological indicators. Our aim was to rank land-cover types according to the amount and form of emitted atmospheric Nr in a complex landscape with multiple sources of N. To do so, we measured and mapped nitrogen concentration and isotopic composition in lichen thalli, which we then related to land-cover data. Results suggested that, at the landscape scale, intensive agriculture and urban areas were the most important sources of Nr to the atmosphere. Additionally, the ocean greatly influences Nr in land, by providing air with low Nr concentration and a unique isotopic composition. These results have important consequences for managing air pollution at the regional level, as they provide critical information for modeling Nr emission and deposition across regional as well as continental scales.Supported by project GISA (funded by private companies: GALP, Repsol, APS, AdSA, AICEP, CARBOGAL, EDP, EuroResinas, KIMAXTRA, REN and GENERG; and managed by local authorities: CCDRA, ARSA and Municipalities of Sines, Santiago do Cacém, Grândola, Álcacer do Sal and Odemira. Further support for researchers from FCT-MCTES (SFRH/BPD/75425/2010, SFRH/BPD/109382/2015 and Investigador FCT contract) and EC-H2020 (NitroPortugal 692331)

Minimal Forbidden Factors of Circular Words

Minimal forbidden factors are a useful tool for investigating properties of words and languages. Two factorial languages are distinct if and only if they have different (antifactorial) sets of minimal forbidden factors. There exist algorithms for computing the minimal forbidden factors of a word, as well as of a regular factorial language. Conversely, Crochemore et al. [IPL, 1998] gave an algorithm that, given the trie recognizing a finite antifactorial language $M$, computes a DFA recognizing the language whose set of minimal forbidden factors is $M$. In the same paper, they showed that the obtained DFA is minimal if the input trie recognizes the minimal forbidden factors of a single word. We generalize this result to the case of a circular word. We discuss several combinatorial properties of the minimal forbidden factors of a circular word. As a byproduct, we obtain a formal definition of the factor automaton of a circular word. Finally, we investigate the case of minimal forbidden factors of the circular Fibonacci words.Comment: To appear in Theoretical Computer Scienc

On the random neighbor Olami-Feder-Christensen slip-stick model

We reconsider the treatment of Lise and Jensen (Phys. Rev. Lett. 76, 2326 (1996)) on the random neighbor Olami-Feder-Christensen stik-slip model, and examine the strong dependence of the results on the approximations used for the distribution of states p(E).Comment: 6pages, 3 figures. To be published in PRE as a brief repor

Characteristics of effluents from healthcare waste treatment with alkaline hydrolysis

Although alkaline hydrolysis emerges as an alternative process to treat healthcare waste (HCW), information about its emissions is scarce, namely as regards effluents production. This work aims to characterize the effluents from alkaline hydrolysis tests with samples of components usually present in HCW, under a temperature of 110 degrees C and with 1 M NaOH aqueous solutions. Some of the regulatory parameters for discharging effluents were determined; also, tests for assessing aerobic and anaerobic biodegradation of those effluents were carried out. The effluents showed values lower than threshold values for almost all the parameters except pH, total nitrogen, TOC, COD and BOD5. Although with high organic load, the effluents from discarded medical components (DMC) and animal tissues (AT) showed a percentage of aerobic biodegradation of 50.5 and 52.9%, respectively. The anaerobic biodegradability obtained for the effluents from DMC were 22.3 and 42.2% for those with AT

Gender equality and the gender gap in life expectancy in the European Union

Introduction Life expectancy (LE) depends on the wider determinants of health, which have different impact in women and men. Therefore, this study aimed to investigate whether gender equality was correlated with LE in women and men. Methods Gender equality in the 27 European Union (EU) member states between 2010 and 2019 was estimated using a modified Gender Equality Index (mGEI), based on the index developed by the European Institute for Gender Equality. The correlation between this mGEI and LE and the gender gap in LE was calculated using the Spearman correlation coefficient. Results Between 2010 and 2019, LE increased more for men than women, which resulted in a narrowing of the gender gap in LE in the EU. During the same period, there was an increase in gender equality, as measured by the mGEI, although with substantial heterogeneity between countries. There was a strong correlation between the mGEI and the gender gap in LE (-0.880), which was explained by a stronger correlation between the mGEI and longer LE in men than in women (0.655 vs 0.629, respectively). The domains of the mGEI most strongly associated with a narrowing of the gender gap in LE were health, money and knowledge, while power was the domain with the weakest association. Conclusions Gender equality appears to be at least as beneficial to men as women with regard to LE, thus reinforcing the key role gender equality plays in improving population health and longevity