1,721,057 research outputs found
Farmhouse and gardens near Georgetown, Washington, ca. 1914
No full textMuch of the Duwamish River Valley, south of Seattle, was quiet farmland before industrialization spread along its banks. Between 1911 and 1916, Walter Allen and Frank Perkins operated a photo studio in Georgetown, on the Duwamish, and documented the scenery and people of the area.
This Allen & Perkins photo, probably taken near Georgetown, shows a large farmhouse and barns beyond rows of corn plants and other crops.1 photographic print mounted on cardboard; gelatin, b&w; 16 x 20 cm
River scene near Georgetown, Washington, ca. 1914
No full textMuch of the Duwamish River Valley, south of Seattle, was quiet farmland before industrialization spread along its banks. Between 1911 and 1916, Walter Allen and Frank Perkins operated a photo studio in Georgetown, on the Duwamish, and documented the life and people of the area. In this Allen & Perkins photo, probably taken near Georgetown, a woman and a horse stand near the bank of the river.1 photographic print mounted on cardboard; gelatin, b&w; 16 x 20 cm
Haying near Georgetown, Washington, ca. 1914
No full textMuch of the Duwamish River Valley, south of Seattle, was quiet farmland before industrialization spread along its banks. Between 1911 and 1916, Walter Allen and Frank Perkins operated a photo studio in Georgetown, on the Duwamish, and documented the scenery and people of the area. In this Allen & Perkins photo, probably taken near Georgetown, farm workers rest during haying season.1 photographic print mounted on cardboard; gelatin, b&w; 16 x 20 cm
AlfonsoAllen/ML_polinizacion_JdA: v1.0.0
No full text<p>Code to obtain the results of the data-driven regression models for the technical report entitled "EVALUATION AND ASSESSMENT OF ECOSYSTEM SERVICES FOR POLLINATION" by Ignasi Bartomeus, Carlos Martinez-Nuñez, Alfonso Allen-Perkins, Elena Velado-Alonso.</p>
AlfonsoAllen/Lonsdorf_polinizacion_JdA: v1.0.0
No full text<p>Code to obtain the results of the model by Lonsdorf et al. (2009) for the technical report entitled "EVALUATION AND ASSESSMENT OF ECOSYSTEM SERVICES FOR POLLINATION" by Ignasi Bartomeus, Carlos Martinez-Nuñez, Alfonso Allen-Perkins, and Elena Velado-Alonso.</p>
Comment on "Pollination supply models from a local to global scale": convolutional neural networks can improve pollination supply models at a global scale
No full textTools to predict pollinator activity at regional scales generally rely on land cover maps, combined with human-inferred mechanistic rules and/or expert knowledge. Recently, showed that, using large pollinator datasets, different environmental variables, and machine learning models, those predictions can be enhanced but at the cost of losing model interpretability. Here, we complement this work by exploring the potential of using advanced machine learning techniques to directly infer wild-bee visitation rates across different biomes only from land cover maps and available pollinator data while maintaining a mechanistic interpretation. In particular, we assess the ability of convolutional neural networks (CNNs), which are deep learning models, to infer mechanistic rules able to predict pollinator habitat use. At a global scale, our CNNs achieved a rank correlation coefficient of 0.44 between predictions and observations of pollinator visitation rates, doubling that of the previous human-inferred mechanistic models presented in (0.17). Most interestingly, we show that the predictions depend on both landscape composition and configuration variables, with prediction rules being more complex than those of traditional mechanistic processes. We also demonstrate how CNNs can improve the predictions of our previous data-driven models that did not use land cover maps by creating a new model that combined the predictions of our CNN with those of our best regression model based on environmental variables, a Bayesian ridge regressor. This new ensemble model improved the overall rank correlation from 0.56 to 0.64.This research was funded by the Comunidad de Madrid through the Research Grants for Young Investigators call from Universidad Politécnica de Madrid (APOYO-JOVENES-21-9K9EVJ-36-3VPZPJ). Alfonso Allen-Perkins was also funded by the Spanish Ministry of Science and Innovation (MICINN) through the TASTE (PID2021-127607OB-I00) and ChaSisCOMA (PID2021-122711NB-C21) projects. Ainhoa Magrach acknowledges funding from a Ministry of Science and Innovation grant (PID2021-127900NB-I00), an Ikerbasque research professorship, and the Spanish Ministry of Science and Innovation and the European Social Fund through the Ramón y Cajal Program (RYC2021-032351-I365). Research is co-funded by the European Union (ERC Consolidator Grant, GorBEEa 101086771). This research is part of the project PID2021-127900NB-I00 funded by the Ministry of Science and Innovation and supported by María de Maeztu Unit of Excellence 2023–2027, ref. CEX2021-001201-M, funded by MCIN/AEI /10.13039/501100011033.With funding from the Spanish government through the ‘María de Maeztu Unit of Excelence’ accreditation (CEX2021-001201-M)Peer reviewe
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
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