131,927 research outputs found
LEV-10 localization and actin dynamics during development.
No full text(A) Fluorescent confocal images showing dendritic spines (magenta) and the postsynaptic CUB transmembrane domain LEV-10 (cyan). Animals express Pflp-13::mCherry with DD neuron specific LEV-10::GFP11x7 using a strategy for cell-specific labeling of endogenous LEV-10 (NATF) [39]. (B) Quantification of the number of DD dendritic spines and LEV-10 clusters at 16, 20, and 24 hours after hatch, and L4 stage (~42–50 hours post-hatch). (C) (C, E, G) Line scans displaying relative fluorescence intensity of F-actin (Pflp-13::GFP::UtrCH) at 16 hours after hatch (C), 24 hours after hatch (E), and L4 (~42–50 hours after hatch) animals (G). Each color indicates a line scan of fluorescence intensity for the same DD dendrite ROI acquired at 5-minute intervals. Note the variable distribution of fluorescence intensities across line scans from images acquired near 16 hours after hatch compared to later time points, indicating increased F-actin dynamics during early development. (D, F, H) Confocal images (inverted LUT) showing Pflp-13::GFP::UtrCH fluorescence (labeling F-actin) in the DD dendrite of 16 (D), or 24 (F) hours after hatch, or at L4 stage (~42–50 hours after hatch) (H). For each, sequences of fluorescent images separated by 30 minutes are shown. (TIF)</p
Going 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
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
Intangibles and intellectual capital: an introduction to a special issue
No full textThree years ago we launched this special issue of the European Accounting
Review devoted to research on intangibles and intellectual capital. Clearly we are
now living in an interesting world: constantly intensifying competition, and
events such as the bursting of the technology bubble, the disappearance of many
new economy companies (dotcoms, etc.), the stagnation of the world economy,
not to mention the 11 September tragedy, have all contributed to significant
change, and even vanishing of a large part of companies’ intangibles.
However, we strongly feel that the basic issues indicated in our Call for Papers
are still relevant. We would like to point out below both the reasons why
intangibles are still very important and some of the conceptual issues the research
on this subject faces
1989 -- Correspondence, Miscellaneous -- letter, 1989-12-31
No full textLetter from Goldfarb, Lev to Sabin, Albert B. dated 1989-12-31.Sabin Collection Fair Use Policy</a
Historical Cost Earnings Versus Inflation-Adjusted Earnings in the Dividend Decision,' Financial Analysts Journal, March/April 1983, pp. 3-12.
No full textWe examine the impact of inflation of Earnings and consequently on dividend policy. We find that dividend policy based on historical earnings to be more effective than dividend policy based on inflation adjusted (real) earnings
Lev Trotskii
No full textShort entry (750 words) on 'Lev Trotskii' for the Cambridge History of Russian Literature
<b>O que é visualização?</b><br>DOI:10.5007/1984-6924.2010v8n1p146
No full text Neste artigo, originalmente publicado em outubro de 2010 na página eletrônica pessoal de Lev Manovich (http://manovich.net), o autor faz uma análise dos princípios fundamentais da visualização de informação (infovis) nos últimos 300 anos e discute seu desenvolvimento no século XXI. São também propostas duas categorias de visualização, a direta e a indireta, e apresentados projetos de visualização de informação executados pela equipe de pesquisa de Lev Manovich, na Universidade da Califórnia, em San Diego, Estados Unidos. Este artigo teve tradução e publicação formalmente autorizadas pelo autor
Effect of LEV on sleep.
No full textRelated to Fig 2. (A) Effect of LEV on the 2-h aversive memory of nSyb > Aβ42Arctic flies. The memory impairment is not rescued by LEV. (B) Amount of day and night time sleep of flies receiving different amounts of LEV. (C) Expression of the nonconducting K+-channel dORKΔNC or constitutive conducting dORKΔC in the MB of Aβ42Arctic -expressing flies. At 0 h after training, no significant difference is observed (n ≥ 8). (D, E) Memory performance of flies only expressing the dORK constructs 0 h (D) and 2 h (E) after training. (n ≥ 8). All other details are similar to Fig 1. LEV, Levetiracetam; MB, mushroom body. (TIF)</p
Customer Franchise — A Hidden, Yet Crucial Asset
No full textWe introduce a measure of customer franchise value for subscription-based companies—a fast growing and vital sector of the economy. This measure is based on information voluntarily disclosed by some, but not all, firms. Controlling for self-selection, we examine the measure's information content and find that customer value is significantly positively associated with stock price and this association is incremental to both GAAP and a set of non-GAAP variables typically considered in valuation tests. Furthermore, we show that the customer value measure is positively associated with future earnings and analysts' forecast errors. Importantly, we find that the documented results are robust to controlling for the individual inputs used to derive the measure, highlighting the need to consider the interaction between stand-alone value drivers in assessing a firm's performance. These findings indicate that the proposed measure of customer value is an important valuation tool that quantifies and summarizes the main trends and factors underlying the performance of subscription-based enterprises. This study informs researchers and investors, as well as accounting policymakers, about a major value-generating asset currently missing from corporate financial reports
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