177,033 research outputs found
Characterization of anti-anti-antiidiotypic yeast killer toxin-like monoclonal antibodies
No full textMisting and fan cooling of the rest area in a dairy barn
No full textThis summer study aimed to evaluate the effect on dairy cows, kept in a free stall barn equipped with fans
and sprinklers in the feeding area, of the delivery rate of
misters in a cooling system in rest areas with different
bedding materials. Thirty cows were divided into two
homogenous groups according to milk yield and kept in
two pens: one had beds with sand (SAMM) while the other
had straw (STLM). Each pen was equipped with 2 fans (Ø
70 cm, 0.50 kW) and 2 misters (delivery rate of 11.2 and
22.5 L/h in STLM and SAMM, respectively) in the rest
area. Microclimatic parameters, rectal temperature (RT),
breathing rate (BR), milk yield, and some milk traits were
recorded. Behavioural routines of the cows (standing and
lying) were also continuously recorded during the hotter
days. During the trial, two mild–moderate heat waves were
observed. During these hotter periods, the daily maximum
temperature recorded in the rest areas was 28.9 in SAMM
and 31.2 in STLM, and the daily maximum THI was 78.2
in SAMM and 81.5 in STLM. In these periods, the cows in
SAMM compared with those in STLM showed lower BR
(P<0.05) and greater rest time (10.2 and 7.8 h/day in
SAMM and STLM, respectively). The RT did not differ
(38.89±0.29 and 38.88±0.33°C in STLM and SAMM r,
espectively). In conclusion, our research suggests that the
cooling system using fans plus misters with mild wetting in
rest areas with sand as bedding materials reduces heat stress
and improves cow comfort
Inibizione della placca dentale prodotta da Streptococcus mutans mediante anticorpi monoclonali antibiotici in un modello ex vivo.
No full text
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
In vitro leishmanicidal activity of a monoclonal antibody mimicking a yeast killer toxin
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.
Inhibition by yeast killer toxin-like antibodies of oral streptococci adhesion to tooth surfaces in an ex vivo model
No full textGoing 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
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