126,153 research outputs found
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
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
Combining abilities of sugar beet genotypes for root- and sugar-related traits under multi-environment trials
The improvement of sugar-related factors is associated with root traits in sugar beet. The objectives of the present study were to assess variations of sugar- and root yield (RY)-related traits and to estimate general (GCA) and specific (SCA) combining abilities of several lines, testers and hybrids under various environmental conditions. A line × tester mating design was used to develop 28 hybrids from seven lines × four testers. Presently, root- and sugar-related traits were recorded in parental lines, hybrids and five local ('Pars', 'Torbat' and 'Ekbatan') and international ('Kermit' and 'Tous') check varieties in the eight combinations of location and growing season. Mean RY and sugar yield (SY) were 44.81 t/ha and 7.57 t/ha, respectively. Genotypes tested had 16.91% sugar content (SC) and 13.64% white sugar content (WSC) across trials. No one genotype was found to have high levels for all traits, but several had above mean sugar-related or RY traits. L7T2 as the best hybrid for RY and SY yielded 37.0% and 34.4% more than the checks’ mean, whereas ratios for the best hybrid (L7T4) for SC and WSC were 8.2% and 4.3%, respectively. Additive variance was significant for all traits, whereas dominance component was only significant for RY. Several parental lines had stable GCA effects with respect to direction and magnitude for WSC, RY and SC in environments. L7 and T2 for RY and SY and L3 and T4 for SC and WSC were identified as the best combiners with high GCA effects, and their use might increase favourable alleles in further breeding programmes for traits tested. Estimated heritability for the combined environments was lower for sugar-related traits (54.01%–59.39%) compared with those for RY traits (73.68%–74.21%). Overall, given heritability and additive variances estimated the identification of environmentally stable GCA and SCA effects and might help to increase efficiency of selection of superior cultivars with respect to sugar traits
Supplemental Data for "Cost/Benefit Assessment of Green Infrastructure: Spatial Scale Effects on Uncertainty and Sensitivity"
This data provides supplemental output data for the Monte Carlo analysis for the uncertainty analysis pertaining to benefit and costs associated with the GI implementation in different subwatersheds in the Dead Run case study watershed in the state of Maryland, as described by Heidari et al. (n.d.). Heidari et al. present the conclusions drawn from the results in the "Cost/Benefit Assessment of Green Infrastructure: Spatial Scale Effects on Uncertainty and Sensitivity", which is under review as of June 2021
FIGURE 5. Ideograms and somatic metaphase cells. A. Clematis iranica. B. C. orientalis. C. C. iranica D. C. orientalis. Scale bar 10 in A new species of Clematis L. (Ranunculaceae) from Iran
FIGURE 5. Ideograms and somatic metaphase cells. A. Clematis iranica. B. C. orientalis. C. C. iranica D. C. orientalis. Scale bar 10 µm.Published as part of Habibi, Meisam, Nohooji, Majid Ghorbani, Baladehi, Mohammadhadi Heidari & Azizian, Dina, 2014, A new species of Clematis L. (Ranunculaceae) from Iran, pp. 99-106 in Phytotaxa 162 (2) on page 105, DOI: 10.11646/phytotaxa.162.2.4, http://zenodo.org/record/513200
Il ruolo della Farmacia di comunità nel SSN: un'indagine sul campo
As an actor of the healthcare system, community pharmacies can contribute to the achievement of better health standards. In Italy, the law decree n. 153/2009 meant to expand the range of care services the pharmacy could deliver. As form amany other countries, involving the community pharmacy inthe pharmaceutical care seems to be the followed direction. The paper aims at analyzing (a) the role of pharmacists, and (b) the skills and attitudes of pharmacists to assess their ability to ride the change. Througha survey, an explorative study has been conducted among n=125 phamacies
Pragmatic Case Studies as a Source of Unity in Applied Psychology
To unify or not to unify applied psychology: that is the question. In this article we review pendulum swings in the historical efforts to answer this question—from a comprehensive, positivist, “top-down,” deductive yes between the 1930s and the early 60s, to a postmodern no since then. A rationale and proposal for a limited, “bottom-up,” inductive yes in applied psychology is then presented, employing a case-based paradigm that integrates both positivist and postmodern themes and components. This paradigm is labeled “pragmatic psychology” and, its specific use of case studies, the “Pragmatic Case Study Method” (“PCS Method”). We call for the creation of peer-reviewed journal-databases of pragmatic case studies as a foundational source of unifying applied knowledge in our discipline. As one example, the potential of the PCS Method for unifying different angles of theoretical regard is illustrated in an area of applied psychology, psychotherapy, via the case of Mrs. B. The article then turns to the broader historical and epistemological arguments for the unifying nature of the PCS Method in both applied and basic psychology.Peer reviewe
Impact of drought stress on biochemical and molecular responses in lavender (Lavandula angustifolia Mill.): effects on essential oil composition and antibacterial activity
Drought stress significantly influences the physiological, biochemical, and molecular processes in plants, directly impacting their growth and defense mechanisms. This study evaluates the response of Lavandula angustifolia (lavender) to different levels of water deficit, with field capacity (FC) treatments set at 20%, 40%, 60%, and 80%. We assessed various biochemical parameters, including protein content, chlorophyll a and b levels, flavonoid and phenolic content, and antioxidant activity, to determine how drought stress affects lavender’s primary and secondary metabolism. As water availability decreased, we observed a reduction in total protein and chlorophyll content, while the highest levels of flavonoids, phenolics, and antioxidant activity were recorded in control plants at 80% FC. Gene expression analysis of key terpene synthase genes revealed differential expression patterns, with linalool synthase and α-pinene synthase peaking at 40% FC, and 1,8-cineole synthase and β-phellandrene synthase reaching their highest activity under severe drought (20% FC). Despite this, a clear correlation between gene expression and metabolite accumulation in essential oils was not observed. Drought-induced changes in essential oil composition were associated with enhanced antibacterial activity, particularly against foodborne Gram-positive and Gram-negative bacteria, suggesting that water stress can modulate the therapeutic potential of lavender oil
Interior urbanity; in-between scales’ scenarios for contemporary urban design, learning from Ahmedabad, India
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