130,706 research outputs found

    Aniline/a-cyano-4-hydroxycinnamic acid is a highly versatile ionic liquid for matrix-assisted laser desorption/ionization mass spectrometry

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    The performance of a matrix-assisted laser desorption/ionization (MALDI) ionic liquid matrix (ILM) consisting of alpha-cyano-4-hydroxycinnamic acid (CHCA) and aniline (ANI) was evaluated to assess whether it could offer possible advantages over conventional matrices. Ultraviolet (UV), Fourier transform infrared (FTIR), nuclear magnetic resonance (NMR) and laser desorption/ionization mass spectrometry (LDI-MS) experiments were carried out with the aim of confirming the structure of the ANI-CHCA ILM. Different model analytes such as amino acids, peptides, proteins, lipids, phospholipids, synthetic polymers, and sugars were tested. Mass spectra with similar or improved signal-to-noise (S/N) ratio (compared to CHCA) were invariably obtained demonstrating the potential of this ILM as a general purpose matrix. Furthermore, protein identification by peptide mass fingerprinting (PMF) and database search was facilitated compared to CHCA since higher scores and increased sequence coverage were observed. Finally, a complex lipid mixture (i.e. a raw extract of a milk sample) analysed by MALDI-MS showed improved S/N ratio, a reduced chemical noise and a limited formation of matrix-clusters

    Valorization of Olive By-Products: Innovative Strategies for Their Production, Treatment and Characterization

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    : Presently, olive oil production signifies a valuable economic income for Mediterranean countries, where approximately 98% of the world's production is established [...]

    Editorial to the special issue “lipidomics and neurodegenerative diseases”

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    The contribution of dysregulation of lipid signaling and metabolism to neurodegenerative diseases including Alzheimer’s and Parkinson’s is the focus of this special issue. Here, the matter of three reviews and one research article is summarized

    Algorithmic Collusion: A Real Problem for Competition Policy?

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    Recently, antitrust authorities started to worry about the possible consequences of algorithmic pricing. Indeed, we document that pricing algorithms are already widely used and argue that they are likely to become even more prevalent in the future. In particular, authorities worry about data-driven price discrimination and algorithmic collusion. We focus on the latter. It is the contention of this article that algorithmic collusion is a real risk, the seriousness of which is still difficult to assess, but that should not be dismissed lightly by antitrust agencies. First, we discuss various ways in which algorithms may facilitate collusion without creating any genuinely new antitrust issue. Second, we argue that pricing algorithms may learn to collude “autonomously” and without explicitly communicating with one another. In light of this evidence, we discuss the specific new policy challenges that this kind of algorithmic collusion poses

    Percorsi di Educazione Ambientale Urbana: il case study del Parco urbano di Lama Balice

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    Una varietà di pratiche di educazione ambientale emergenti affrontano le esigenze che si legano sempre più a contesti che sono anche urbani. Tali pratiche diventano sempre più importanti soprattutto se si considera che nel 2008 (Seto et al., 2010; Crossette, 2010) la popolazione urbana del mondo ha superato quella rurale e, secondo le stime dell'ONU, nel 2030 il 60% degli otto miliardi di abitanti del pianeta vivrà in città. Frank et al. (1994) riconoscono come l'educazione ambientale urbana abbia gli stessi obiettivi della tradizionale educazione ambientale: incoraggiare la consapevolezza, la conoscenza, la formazione degli atteggiamenti, lo sviluppo delle competenze e partecipazione alla soluzione dei problemi ambientali, ma è unica perché avviene nelle aree urbane, con i cittadini urbani e si occupa di sistemi e problemi ambientali urbani. Il presente contributo descrive l’esperienza che si sta implementando a Bari, presso il Parco Urbano di Lama Balice. Esso rappresenta una straordinaria opportunità naturale e bio-diversa all’interno di una zona fortemente antropizzata e infrastrutturale come la città metropolitana di Bari. Come cuore verde della città, il Parco è considerato un potente "anticorpo" sia perché esso è corridoio ecologico per specie vegetali o animali, sia perché in esso vengono implementate, attraverso il Centro di Educazione Ambientale, attività per le scuole, le associazioni, ricercatori e naturalisti del territorio. Il modello di eco-network rappresentato da Lama Balice è straordinario e strategico per lo sviluppo di una città come Bari: da un lato come area territoriale da migliorare, qualificarsi e caratterizzare, organizzando sentieri e esperienze naturali per i residenti e per i turisti; dall'altro lato come ecosistema in grado di ottenere un riequilibrio ecologico, produttivo e comunitario all'interno della città

    Solid phase microextraction - liquid chromatography (SPME-LC) determination of chloramphenicol in urine and environmental water samples

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    A solid phase microextraction—liquid chromatography with ultraviolet detection (SPME-LC-UV) method for the determination of the antimicrobial agent chloramphenicol was developed. The performances of three commercially available fibers were compared; the Carbowax/TPR-100 was found to provide the most efficient extraction. All the aspects influencing the fiber adsorption (extraction time, temperature, pH, salt addition) and desorption (desorption and injection time, desorption solvent mixture composition) of the analyte were investigated. The method was eventually applied to the determination of the drug in both biological (urine) and environmental (tap and sea water) samples. The optimized procedure required a simple sample pretreatment, isocratic elution, and provided enough sensitivity for the analyte determination in the considered samples. The investigated linear ranges were 37–1000 ng/ml (urine), 0.1–10 ng/ml (tap water), 0.3–30 ng/ml (sea water). Within-day and between-days RSD% ranged between 5.5–6.2 and 8.7–9.0 (urine), 5.1–6.0 and 8.4–8.8 (tap water), 5.4–5.7 and 8.6–8.9 (sea water). Estimated LOD and LOQ were 37 and 95 ng/ml (urine), 0.1 and 0.3 ng/ml (tap water), 0.3 and 0.7 ng/ml (sea water)

    MeSH term explosion and author rank improve expert recommendations

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    Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
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