1,721,172 research outputs found
FIGURE 1 in Two new species of Adontorhina Berry, 1947 (Bivalvia: Thyasiridae) from the Porcupine Bank, off the west coast of Ireland
No full textFIGURE 1. Exterior (A) and interior view (B) of the valves of Adontorhina keegani (NMINH.2006.65). Scale bar = 500 µm. (C) Dorsal view and oblique view (D) of Adontorhina keegani (NMW.Z.2007.008). Scale bar = 500 µm. (E) Hinge of Adontorhina keegani. Scale bar = 300 µm. (F) Close up of hinge of A. keegani. Scale bar = 100 µm.Published as part of Barry, Peter J. & Mccormack, Grace P., 2007, Two new species of Adontorhina Berry, 1947 (Bivalvia: Thyasiridae) from the Porcupine Bank, off the west coast of Ireland, pp. 37-49 in Zootaxa 1526 on page 40, DOI: 10.5281/zenodo.17753
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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Aggregate loan quality assessment in the Farm Credit System
No full textChanges in loan quality affect loan pricing, credit policy, and the capital structure of the Farm Credit System (FCS). Improving the assessment and anticipation of changes in loan quality is a continual challenge. This research shows that loan quality assessment through aggregate credit scoring models that analyze farm sector financial information is a valuable addition to risk management in the FCS.Aggregate models of PCA and FLB loan quality were developed, using Ordinary Least Squares in a pooled cross section time series framework, through analysis of loan quality and farm sector financial information for the St. Louis Farm Credit District. Collateral values, change in farmland values, and government farm policy are significant factors in the PCA model. Liquidity, change in farmland values, and off-farm income are significant in the FLB model. The models explain much of the variation in loan quality over time and are robust to various validation tests. The estimation process was hampered by multicollinearity which must be guarded against in using aggregate financial data.The research further demonstrates, through a loan pricing model, how the aggregate loan quality models can enhance risk management in a forward planning process. Insights from the research also reveal that loan quality can change rapidly and cannot be accurately predicted in advance; no clear early warning indicators were found.The aggregate credit scoring model can be a useful analytical tool for evaluating a loan portfolio and can provide new insights into the broader lending environment of the Farm Credit System.Made available in DSpace on 2011-05-07T13:40:17Z (GMT). No. of bitstreams: 2
license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5)
9026287.pdf: 8176660 bytes, checksum: 758a124819ecf668b7b87c8cbe2f1796 (MD5)
Previous issue date: 1990Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding ([email protected]) on 2011-05-07T14:57:43Z
Item is restricted indefinitely.Restriction data tranferred 2014-07-01T11:27:05-05:00
Original Data
Group with Access UIUC Users [automated]
Release Date: none
Reason: ETDs are only available to UIUC Users without author permissionETDs are only available to UIUC Users without author permissionU of I Onl
Effects of asymmetric information on agricultural borrowing, investment, and capital structure
No full textThis study examined optimal farm capital structure and investment under asymmetric information between the farm borrower and lender. The capital structure of the borrower may affect the terms of the loan contract or may restrict credit availability. Thus, under asymmetric information conditions, the capital structure and investment decisions of the farmer are related via non-price conditions of loans."The optimal farm capital structure model of Barry, Baker and Sanint was augmented to account for the effects of asymmetric information and the interaction between farm investment and capital structure was empirically modeled. For the empirical analysis, a ""pecking order hypothesis"" for capital structure was specified to model farm incentives to manage capital structure under asymmetric information and a neoclassical q theory that accounts for the lack of a perfect capital market was employed to model investment behavior."The farm capital structure model of Barry, Baker, Sanint was augmented by adding asymmetric information costs borne by the borrower and a non-price. Comparative statics indicated that the farm debt to equity ratio would decrease with increases in: the rate of cost due to asymmetric information; the variance of the rate of cost of debt due to asymmetric information; and the marginal cost of the non-price credit restriction.Annual investments and capital structure were examined in the second analysis by specifying an investment and capital structure equation to capture the effects of asymmetric information. The joint specification is tested using an agricultural sector data set covering the period 1960-91 and a panel of Illinois grain farmers over the period 1986-92.The results of the sector model indicated that the addition of debt can be both beneficial and harmful. The results indicate that a non-price restriction was in effect. The pecking order relationship was found to hold in the second capital structure equation. In the farm level analysis, the investment equation supported the q-like specification, but was not constrained by farm solvency. The pecking order relationship was found to hold in the second capital structure equation. Thus, farm investment behavior and capital structure decisions were jointly determined.Made available in DSpace on 2011-05-07T13:27:13Z (GMT). No. of bitstreams: 2
license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5)
9543671.pdf: 4416002 bytes, checksum: fa627851388c5867b2c59c02d9303504 (MD5)
Previous issue date: 1995Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding ([email protected]) on 2011-05-07T14:54:57Z
Item is restricted indefinitely.Restriction data tranferred 2014-07-01T11:25:35-05:00
Original Data
Group with Access UIUC Users [automated]
Release Date: none
Reason: ETDs are only available to UIUC Users without author permissionETDs are only available to UIUC Users without author permissionU of I Onl
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
Adontorhina Berry 1947
No full textGenus Adontorhina Berry, 1947 Type species: Adontorhina cyclia Berry, 1947 Description. Shell small, fragile, compressed to orbicular; surface sculpture of smooth commarginal striae, radial sulcus reduced or lacking. Beaks prosogyrous, low on the dorsal margin. Periostracum thin, lightly straw coloured. Ligament mostly internal, set on a narrow sunken shelf posterior to the beaks. Hinge plate composed of two sections, both anterior and posterior to the beaks; without true teeth but with irregular granules varying between species from weakly to strongly expressed. All possess a single demibranch. Foot with heel, lateral pouches relatively small and undivided. Surface of lateral pouches has the appearance of arborescent tufts. Remarks. The irregular granules on the hinge margin have only been reported in this genus. Indeed, when first discovered Berry (1947) recorded “I have been unable to find any described genus or species to which it can be referred”, owing to the uniqueness of the granular hinge. A large majority of the shells in the Thyasiridae have either edentulous hinges or underdeveloped tubercles instead of teeth (Payne & Allen, 1991). Coan et al. (2000) separated the externally similar Adontorhina from Leptaxinus Verrill & Bush, 1898, on the basis of the distinctive hinge. Scott (1986) remarked that there is wide variation in strength of expression of the irregular granules across the genus. While the granules on the hinge plate is the strongest character uniting the species of Adontorhina, all have a reduced sulcus, low umbones and the lateral pouches are undivided and not thrown into numerous lobes. The foot of each species is noticeably shortened with a deep sagittal groove.Published as part of Barry, Peter J. & Mccormack, Grace P., 2007, Two new species of Adontorhina Berry, 1947 (Bivalvia: Thyasiridae) from the Porcupine Bank, off the west coast of Ireland, pp. 37-49 in Zootaxa 1526 on pages 38-39, DOI: 10.5281/zenodo.17753
- …
