130,488 research outputs found
Neuroptera (Insecta) of Pantelleria, the Pelagic Islands and the Maltese archipelago: towards an annotated checklist with new records
No full textFIGURE 2 in The spurious dragonfly: the intricate nomenclatural problems regarding the names Libelloides and libelluloides (Neuroptera Ascalaphidae et Myrmeleontidae)
No full textFIGURE 2. Illustrаtiоns оf Раlраrеs libеllиlоidеs: А) in Jоnstоn (1653) frоm Аldrоvаndi [uрреr right соrnеr]; B) in Pеtivеr (1702) [uрреr lеft соrnеr]; С) in Drudу (1770) [uрреr сеntеr]; D) in Sulzеr (1776) [uрреr сеntеr] whiсh dерiсts surеlу а diffеrеnt sресiеs. [Imаgеs соurtеsу оf: А) аnd С) Biоdivеrsitу Неritаgе Librаrу; B) аnd D) Göttingеn Digitisаtiоn Сеntrе (GDZ)]Published as part of Pantaleoni, Roberto A. & Loru, Laura, 2018, The spurious dragonfly: the intricate nomenclatural problems regarding the names Libelloides and libelluloides (Neuroptera Ascalaphidae et Myrmeleontidae), pp. 524-540 in Zootaxa 4387 (3) on page 527, DOI: 10.11646/zootaxa.4387.3.7, http://zenodo.org/record/118772
MeSH term explosion and author rank improve expert recommendations
No full textInformation 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
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Protective effect of hydroxytyrosol and tyrosol against oxidative stress in kidney cells
No full text"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
A Social IoT-Based Solution for Real-Time Forest Fire Detection
No full textConservation of the natural ecosystem is a hot topic that is receiving increasing attention not only from the scientific community, but from the entire world population. Forests and woodlands are major contributors to climate change mitigation, able to absorb significant amounts of carbon dioxide. This paper proposes a novel real-time fire monitoring and detection system based on Digital Mobile Radio (DMR) nodes and a Social Internet of Things (SIoT) platform on which fire detection decision making algorithms have been implemented. The results obtained by employing a K-Nearest Neighbors (KNN) algorithm and a Recurrent Neural Network (RNN) show the ability to detect the slightest variation in the observed parameters, determining the direction and speed of fire propagation with an accuracy of more than 98%
Multiple Water Configurations In Fenchone···(h2o)1−6 Hydrates Revealed By Rotational Spectroscopy
No full textFenchone is a bicyclic monoterpenoid that is released to the atmosphere by natural and anthropogenic sources, where it interacts with other atmospheric molecules such as water. Here we present the investigation of the hydrates of fenchone CHO(HO) (n = 1-6) by microwave spectroscopy, in the frequency range 2 to 20 GHz, and computational calculations. Several isomers of each hydrated complex have been observed and their rotational and centrifugal distortion constants determined. For fenchone(HO) complexes, observation of the O isotopologues allowed us to determine the location of the oxygen atoms of water and the configuration of water molecules around fenchone. Water binds to fenchone through O--HO and C--HO hydrogen bonds. In the mono-, di- and trihydrates water molecules arrange in open chains around fenchone, while for the higher order hydrates water molecules adopt distorted tetramer, pentamer and hexamer configurations. The various configurations as well as the relevant intermolecular interactions, and their modelling by computational methods, will be discussed.
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M. Chrayteh, E. Burevschi, D. Loru, T. R. Huet, P. Dréan, M. E. Sanz, \textit{PCCP}, 23, 20686 (2021)
H2O2 oxidative activity: modulatory effect of hydroxytyrosol
No full textHydroxytyrosol (HT) is the major o-diphenol present in extra-virgin
olive oil, either in free or esterified form, once absorbed, is present in
high amount in the kidney, where it may exert a proctetive action. In this
study we monitored the ability of HT to protect renal cells (LLC-PK1)
against oxidative damage induced by H2O2. The peroxidation of lipid represents
a primary consequences of cellular oxidative stress, leading to
biophysical changes that disrupt membrane and organelle function; moreover
oxidative stress is a process that may stimulate cellular signalling
pathways, usually associated with the promotion of cellular death. HT
exerted a significant antioxidant action, inhibiting the production of
fatty acids hydroperoxides and 7-ketocholesterol induced by H2O2 treatment
and thus preserving the membrane lipids. It has been shown that
oxidative stress in LLC-PK1 cells is related also to the changes in the
phosphorylation state of pro-death signalling pathways ERK1/2 and the
pro-survival signalling Akt/PKB. Pretreatment with HT is able to modulate
H2O2-induced changes in the phosphorylation state of ERK1/2
and Akt/PKB. We suggest that one potential protective mechanism of
olive oil polyphenols in kidney cells may be attributed to interactions
with intracellular signalling pathways activated in response to oxidative
stress
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