130,400 research outputs found
MeSH term explosion and author rank improve expert recommendations
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
Leader-member exchange and affective commitment, engagement, wellbeing, intention to turnover: the italian findings
This paper examines the relationship between the supervisor-subordinate relationship, engagement, wellbeing, affective commitment and turnover within the Italian context. This study is important because of the shortage of nurses in Italy and the changing nature of nursing. According to IPASVI, the Italian Nurses’ Federation, Nurses in Italy number approximately 355.000, the 25.4% works in North-East regions, the 20.6% in Central regions, the 21.9% in Southern regions and the 10.8% in
Islands (IPASVI 2009). Almost the 78% of nurses are female but male rate is increasing (IPASVI
2009). The average age of the nurses is climbing: in 2009 was almost 42 years (IPASVI 2009), quite high related to Italian nurses job description. The 93% of nurses found their job within the first year from degree (Mastrillo 2011) and the average monthly income is 1300 euros. While nurses have professional job description development during their career, usually don’t have a consequential increasing of their income. Mile stones of Italian nurses education are the following: (i) 1992,
introduction of nursing education in universities along with university diploma courses for nurses (Leg. D. 502/517, 1992); (ii) 2001, university diploma courses for nurses were changed into threeyear degrees (Dec. 128, 2001); (iii) 2004, in the academic year 2004-2005, the Masters Decree at last becomes a concrete reality (Dec. 2791, 2004). All nurses aged below thirty years of age (that is fall within the “Generation Y” generational cohort) have university education. The average turnover rate is higher in Northern Italy, especially in Milan. In the last 10 years, a worrisome nursing shortage has been observed, estimated in 40.000 nurses by IPAVSI (Destrebecq et al, 2009). Due to
that, there has been an expansion of nurses’ immigration to Italy (Chaloff, 2008): between 2002 and 2009, nurses’ hospital managers of Lombardy Region’s public hospitals joined a EURES’
(European Employment Services) program to provide placement services in Italy for Spanish nurses. In 2009, almost 10% of nurses working in Italy emigrated from other Countries (IPASVI,
2009). After the last few years of shortage, 2010 financial law has limited public sector new employments. However, there remains an imperative to retain tacit skills and knowledge of those
nurses already employed within Italian hospitals. This paper examines the factors that impact on Italian nurses’ intention to leave
Techno-economic comparison between commercial energy recovery devices in complex Water Distribution Networks
Water Distribution Networks (WDN) proved to be viable for the exploitation of throttling hydraulic energy. Researchers often focused their attention on the study of Pumps as Turbines (PaTs) for WDNs without considering other solutions. Actually, PaTs are not the only machines that can be employed. Indeed, other solutions exists, e.g. Cross-Flow Turbines, and commercially available Energy Harvesting Control Valves. The novelty of this study regards the selection, for each node, of the best technology among these machines rather than choosing only among PaTs, in order to help the water utilities in the techno-economic decision processes. Regarding PaTs, the authors have updated and integrated PaT-ID, their proprietary decision making tool. A complex real WDN has been used as a case study, characterized by 8 reservoirs and 16 Pressure Reducing Valves (PRVs) installed to balance the network and to reduce water leakages. Although all the three considered type of devices show at least 40% of recovered available energy within the WDN, the best solution form an energy point of view not always could be feasible from an economic point of view
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Both 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.
Optimal hydraulic energy harvesting strategy for PaT installation in Water Distribution Networks
Water Distribution Networks (WDNs) represent a noteworthy field for possible implementation of Small Hydropower (SHP), by replacing Pressure Reduction Valves (PRV) with turbomachines, in particular Pump as Turbines (PaTs), to control and regulate the pressure, while harvesting energy otherwise wasted. Different models were developed to predict the performance and select the positioning of the PaTs for the maximum energy recovery but most of them neglect practical aspect such as: power grid limitations and optimal harvesting strategy. In this framework, we intend to propose a new method to select a PaT, defining its optimal working point, by introducing an energy exploitation coefficient. The proposed methodology is based on the experimental results of a real PaT tested in the high capacity hydraulic laboratory at Polytechnic University of Bari. Firstly, the selected commercial centrifugal pump was tested in both pump and turbine modes. Then, three different approaches, for the Best Efficiency Point (BEP) selection, are described and compared in terms of energy exploitation and capacity factor for a WDN. The first consists of selecting the BEP at the average flow rate, the second one considers the probability distribution of the flow rate and the corresponding available hydraulic energy, whereas the latter is based on the highest energy harvesting. By applying energy production, economic and environmental analyses, the new proposed methodology, based on the third approach, shows a remarkable advantage in terms of exploited energy. Indeed a remarkable 60% energy recovery is achieved with 334 ton CO2/year avoided. Furthermore, the impact of the electrical motor on the maximum power generation (cut-off) is considered. Eventually, useful insights for the future PaT selection and installation are discussed
Circulating TGF-β1-related biomarkers in patients with hepatocellular carcinoma and their association with HCC staging scores
TGF-β1 was inversely correlated with E-cadherin but significantly correlated with VEGF. VEGF and AFP had a low coefficient value but statistically significant. A significant correlation was found between E-cadherin and MMP2. In conclusion, TGF-β and E-cadherin are inversely correlated in HCC patients' sera and not related to the BCLC classification nor survival but rather to the biological properties of the tumor
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
At the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
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