1,721,283 research outputs found
Alcohol consumption and subclinical and clinical coronary heart disease: New insight into potential causal mechanisms
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LIVE transthoracic three-dimensional visualization of a tumor mass in the inferior vena cava and heart.
No full textSacubitril/Valsartan and Cognitive Outcomes in Heart Failure With Reduced Ejection: A New Pharmacological Indication?
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No news, good news: effect of delayed information sharing in supply chain management
No full textEven though many studies have shown the great impact of information on supply chain performances, and in literature the virtues of information sharing are often proclaimed, there still seems to be a lack of common comprehension about how and when the information should be shared and how it should be used in order to gain the best benefits. This paper shows how data on final demand can be shared from down-stream echelons and used in an MRP algorithm, helping up-stream echelons in computing future requirements more accurately. On top of this, this analysis also shows that, counter intuitively, some supply chain performances can be increased introducing a delay in the information exchange. Indeed, through simulation, it has been demonstrated that a properly computed lag in information diffusion between echelons can lead to a reduction of the bullwhip effect
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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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