Optimization of perovskite gas sensor performance: characterization, measurement and experimental design

Eight different types of nanostructured perovskites based on YCoO3 with different chemical compositions are prepared as gas sensor materials, and they are studied with two target gases NO2 and CO. Moreover, a statistical approach is adopted to optimize their performance. The innovative contribution is carried out through a split-plot design planning and modeling, also involving random effects, for studying Metal Oxide Semiconductors (MOX) sensors in a robust design context. The statistical results prove the validity of the proposed approach; in fact, for each material type, the variation of the electrical resistance achieves a satisfactory optimized value conditional to the working temperature and by controlling for the gas concentration variability. Just to mention some results, the sensing material YCo0.9Pd0.1O3 (Mt1) achieved excellent solutions during the optimization procedure. In particular, Mt1 resulted in being useful and feasible for the detection of both gases, with optimal response equal to +10.23% and working temperature at 312°C for CO (284 ppm, from design) and response equal to −14.17% at 185°C for NO2 (16 ppm, from design). Analogously, for NO2 (16 ppm, from design), the material type YCo0.9O2.85 + 1%Pd (Mt8) allows for optimizing the response value at −15.39% with a working temperature at 181.0°C, whereas for YCo0.95Pd0.05O3 (Mt3), the best response value is achieved at −15.40% with the temperature equal to 204°C

Syntopic Cystoseira taxa support different molluscan assemblages in the Gulf of Naples (southern Tyrrhenian Sea)

Brown macroalgae belonging to the genus Cystoseira (Fucales: Sargassaceae) are canopy-forming organisms the recent decline of which at a basin and local scale has been widely documented, which urgently calls for research to fill knowledge gaps and support new and effective measures for protection. We, hereby, characterised the molluscan assemblages associated with three Cystoseira taxa (C. amentacea, C. compressa and C. crinita) from Ischia Island (Italy, Tyrrhenian Sea), and tested whether different congeneric taxa may syntopically support a different biota. In particular, these assemblages were compared among three Cystoseira species, between two times of sampling (June–July 2015 and June–July 2016), and among six sites in terms of multivariate structure (identity and relative abundances of constituting taxa combined, and presence–absence composition), as well as for synthetic measures of diversity, including the total richness of taxa, the exponential Shannon index, and the reciprocal Simpson index. In total, 24736 molluscan individuals were collected, overall belonging to 52 taxa. The majority of the identified species included micrograzers and filter feeders, which is in agreement with similar previous studies. The composition of associated molluscan assemblages, which was mainly represented by juvenile individuals, differed among the three Cystoseira species, suggesting that even congeneric taxa do not support an analogous benthic fauna. The present findings have shedded light on the molluscan biota associated with Cystoseira taxa in the Gulf of Naples and strengthened the importance of such habitat-forming macroalgae in structuring the local infralittoral invertebrate biodiversity and as a nursery for species-specific associated molluscs

Redox status assessment in infertile patients with non‐obstructive azoospermia undergoing testicular sperm extraction: A prospective study

AbstractBackgroundOxidative stress (OS) is one of the most prevalent causes of sperm damage, through the toxic effects of endogenously generated hydrogen peroxide, superoxide anion, and hydroxyl radicals. Peripheral leukocytes represent a feasible model for studying the pathophysiology of OS‐mediated homeostasis, which can be responsible for cell dysfunction and cell injury.ObjectiveTo evaluate the redox status in patients with non‐obstructive azoospermia (NOA), establishing the potential role exerted by reactive oxygen species (ROS) in the genesis of testicular secretory injury.Material and methodsFrom May 2018 to March 2019, 39 patients were enrolled in this prospective single‐center cohort study and divided into two groups. Group 1 included 19 patients with NOA, and Group 2 included 20 normozoospermic men, partners of women with infertility tubal factor. All patients underwent serum blood tests. NOA underwent testicular sperm extraction (TeSE). ROS production (in lymphocytes, monocytes, and granulocytes) was assessed by fluorescence‐activated cell sorting (FACS) analysis. Plasma oxidative stress was evaluated by lipid peroxidation markers (MDA) and total antioxidant capacity (TAC) both assessed by fluorometric techniques.ResultsMean lymphocyte ROS production resulted 967.0 ± 224.5 vs 728.0 ± 98.0 (NOA vs Controls, P .05).ConclusionROS production can be directly related to disorders of spermatogenesis, leading to severe conditions of male infertility, including azoospermia

Optimization of Perovskite Gas Sensor Performance: Characterization, Measurement and Experimental Design

Eight different types of nanostructured perovskites based on YCoO 3 with different chemical compositions are prepared as gas sensor materials, and they are studied with two target gases NO 2 and CO. Moreover, a statistical approach is adopted to optimize their performance. The innovative contribution is carried out through a split-plot design planning and modeling, also involving random effects, for studying Metal Oxide Semiconductors (MOX) sensors in a robust design context. The statistical results prove the validity of the proposed approach; in fact, for each material type, the variation of the electrical resistance achieves a satisfactory optimized value conditional to the working temperature and by controlling for the gas concentration variability. Just to mention some results, the sensing material YCo 0 . 9 Pd 0 . 1 O 3 (Mt1) achieved excellent solutions during the optimization procedure. In particular, Mt1 resulted in being useful and feasible for the detection of both gases, with optimal response equal to +10.23% and working temperature at 312 ∘ C for CO (284 ppm, from design) and response equal to −14.17% at 185 ∘ C for NO 2 (16 ppm, from design). Analogously, for NO 2 (16 ppm, from design), the material type YCo 0 . 9 O 2 . 85 + 1 % Pd (Mt8) allows for optimizing the response value at − 15 . 39 % with a working temperature at 181 . 0 ∘ C, whereas for YCo 0 . 95 Pd 0 . 05 O 3 (Mt3), the best response value is achieved at − 15 . 40 % with the temperature equal to 204 ∘ C

Towards a morpho-syntactic analysis of -\u12bsc\u14d and -\u101sc\u14d verbs

Questo studio analizza il comportamento del suffisso latino -sc, prendendo in considerazione la sua interazione con la radice selezionata, e con l'elemento tematico che lo precede. Lo studio ha l'obiettivo di motivare la diversa produttivit\ue0 di -sc con radici verbali piuttosto che aggettivali e nominali, e spiegare la presenza di elementi tematici -a, -e, o -i. Attraverso il quadro teorico della morfologia distribuita, diamo conto delle tipologie principali mediante un set di regole che spiegano la distribuzione morfologica del suffisso -sc

Optimization of Gas Sensors Based on Advanced Nanomaterials through Split-Plot Designs and GLMMs

This paper deals with the planning and modeling of a split-plot experiment to improve novel gas sensing materials based on Perovskite, a nano-structured, semi-conductor material that is sensitive to changes in the concentration of hazardous gas in the ambient air. The study addresses both applied and theoretical issues. More precisely, it focuses on (i) the detection of harmful gases, e.g., NO 2 and CO, which have a great impact on industrial applications as well as a significantly harmful impact on human health; (ii) the planning and modeling of a split-plot design for the two target gases by applying a dual-response modeling approach in which two models, e.g., location and dispersion models, are estimated; and (iii) a robust process optimization conducted in the final modeling step for each target gas and for each gas sensing material, conditioned to the minimization of the working temperature. The dual-response modeling allows us to achieve satisfactory estimates for the process variables and, at the same time, good diagnostic valuations. Optimal solutions are obtained for each gas sensing material while also improving the results achieved from previous studies

Two kinds of verbal roots in Latin: evidence from thematic vowels and word-formation processes

This paper aims at tackling under a new perspective a crucial asymmetry of Latin verb morphology, that is the distinction between stem and root in different kind of word formations. We do not concentrate here on the inflectional domain directly, but we address the issue taking in consideration two different ways of encoding agentivity in nominalizations, namely we will compare the -tor formations with the so called synthetic or root-compounds, in order to identify which rules select either the bare root (ponti-fek-s) or the perfect participle stem (cap-tor, lauda-tor) in different morphological environments. The theoretical framework we adopt is the Nanosyntactic one, which will allow us to account for the morphological operations according to a constrained set of principled rules. In \ua7 2 we present the crucial properties of agentive nominalizations realized with -tor as well as those of root compounds, focusing on the different conditions which trigger the use of the root morpheme or the perfect participle stem; in \ua7 3 we introduce the basic tenets of the Nanosyntactic framework; in \ua7 4 the morphological properties of Latin roots and thematic stems are accounted for under the nanosyntactic principles; finally in \ua7 5 we draw the general conclusions and point to the open issues