1,722,158 research outputs found
Machine-learning-enhanced variable-angle truss model to predict the shear capacity of RC elements with transverse reinforcement
Full text linkThis contribution presents a numerical model for the shear capacity prediction of reinforced concrete (RC) elements with transverse reinforcement. The proposed model originates from one of the most popular mechanical models adopted in building codes, namely the variable-angle truss model. Starting from the formulation proposed in the Eurocode 2, two empirical coefficients governing the concrete contribution (i.e., the shear capacity ascribed to crushing of compressed struts) are adjusted and enriched through machine learning, in such a way to improve the predictive efficiency of the model against experimental results. More specifically, genetic programming is used to derive closed-form expressions of the two corrective coefficients, thus facilitating the use of this model for practical purposes. The proposed expressions are validated by comparison with a wide set of experimental results collected from the literature concerning RC beams and columns failing in shear under both monotonic and cyclic loading conditions, respectively. It is demonstrated that the proposed formulation, thanks to the two novel corrective coefficients, not only attains higher accuracy than the original Eurocode 2 formulation, but also outperforms many other existing design code provisions while preserving a sound mechanical basis
Progressive Transmission of High-Dimensional Data Features for Inference at the Network Edge
No full textUploading high-dimensional features from edge devices to an edge server over wireless channels creates a communication bottleneck for edge inference. To tackle the challenge, we propose the progressive feature transmission (ProgressFTX) protocol, which minimizes the overhead by progressively transmitting features until a target confidence level is reached. The control of the protocol to accelerate inference is designed with two key operations. The first, importance-aware feature selection, guides the server to select the most discriminative feature dimensions. The second is transmission-termination control such that the feature transmission is stopped when the incremental uncertainty reduction by further transmission is outweighed by its communication cost. The indices of the selected features and transmission decision are fed back to the device in each slot. The sub-optimal policy is obtained for classification using a convolutional neural network. Experimental results on a real-world dataset shows that ProgressFTX can substantially reduce the communication latency compared to conventional feature pruning and random feature transmission
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
Loss of beta1 integrin function results in upregulation of connexin expression in embryonic stem cell-derived cardiomyocytes
No full textshow that loss of beta 1 integrin function affects connexin (Cx) expression in embryonic stem (ES) cell-derived cardiomyocytes. Both loss of beta 1 integrin function and inhibition of integrin clustering by RGD peptides in wild type ES cells correlated with upregulated expression of gap junctional proteins in ES-derived cardiomyocytes. The upregulation of connexin transcript levels in beta 1 integrin-deficient cells is paralleled by a higher fraction of cells co-expressing Cx40 and Cx43. These observations demonstrate that the expression of connexins in developing cardiomyocytes is correlated to integrin-dependent mechanisms. Further, we found that upregulated cardiac connexin expression in beta 1 integrin-deficient cells is related to Rho- and Wnt-dependent pathways. beta 1 integrin-deficient cardiac cells displayed high levels of cytoplasmic gamma- and beta-catenins throughout the differentiation period. The administration of lithium, an activator of beta-catenin-dependent pathways, resulted in up-regulated connexin mRNA levels in wild type cardiomyocytes at intermediate, but not at early stages, indicating that the effects are restricted to advanced stages of cardiac differentiation. On the other hand, inhibition of Rho-dependent integrin signaling by treatment of cardiac cells with exoenzyme C3 resulted in immediate up-regulation of cardiac connexin transcript levels at early differentiation stages. Our data indicate that integrin function affects connexin expression in cardiomyocytes via direct effects on RhoA-dependent signaling mechanisms at early differentiation stages and of beta-catenin/Wnt-dependent pathways at advanced stages
FIGURES 13–16 in Laimaphelenchus australis sp. nov. (Nematoda: Aphelenchina) from exotic pines, Pinus radiata and P. pinaster, in Australia
No full textFIGURES 13–16. Scanning Electron Microscopy (SEM) observation of female Laimaphelenchus australis sp. nov. 13: Head. 14: Lateral incisures 15: Vulval region. 16: Tail.Published as part of Zhao, Zeng Q., Davies, Kerrie A., Riley, Ian T. & Nobbs, Jackie M., 2006, Laimaphelenchus australis sp. nov. (Nematoda: Aphelenchina) from exotic pines, Pinus radiata and P. pinaster, in Australia, pp. 35-44 in Zootaxa 1248 on page 41, DOI: 10.5281/zenodo.17295
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
- …
