1,721,028 research outputs found
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
Napovedljivost poplav na hudourniških prispevnih območjih vodotokov Rur, Niers in Swalm na Nizozemskem
No full textThe Dutch province Limburg is characterized by sloping terrain and is therefore prone to serious damages during flash floods. This was also the case for the July 2021 flood event. The study focuses on a detailed hydrological analysis and the generation of deterministic flood forecasts of the tributaries of the Meuse River in Limburg (i.e. Rur, Niers and Swalm rivers). For hydrological modeling, the wflow_sbm model was used which is a distributed hydrological model and its parameters were estimated with the Iterative Hydrography Upscaling (IHU) method and from Pedo Transfer Functions (PTFs). The horizontal hydraulic conductivity fraction (KsatHorFrac) parameter for the Rur catchment was calibrated to generate deterministic forecasts. Due to the significant difference between the observed and the simulated discharges of the Niers and Swalm catchments it was not possible to calibrate their hydrological models. Probable reasons for this difference can be the effects of ground water abstractions for pit mining and other purposes, frequent mowing management in the Niers catchment etc. Therefore forecasts were generated only for the Rur catchment by coupling the wflow model with Delft-FEWS. The forecasts generated using the DWD ICON dataset showed substantial error when compared to the observed discharge. However, for the flood event of 2021, the model predicted high flows 5-6 days ahead of the flood. There was a large overestimation of the peak for the forecast in downstream of the Rur catchment. The sensitivity of the forecast performance by changing KsatHorFrac was also analysed in the end. The findings of the study show several scopes of improvements in the wflow hydrological modeling and flood forecasting of the Meuse tributaries. Future studies based on these recommendations could aid in providing a more accurate flood prediction in this region.Območje Limburga na Nizozemskem z relativno strmo topografijo terena je med poplavami julija 2021 utrpelo veliko poplavno škodo. Magistrska naloga se osredotoča na podrobne hidrološke analize in izdelavo deterministične napovedi poplav pritokov reke Meuse na območju Limburga (prispevna območja rek Rur, Niers in Swalm). Za potrebe hidrološkega modeliranja je bil uporabljen prostorsko distribuiran hidrološki model wflow_sbm, parametri modela so bili ocenjeni z metodo Iterative Hydrography Upscaling (IHU) in s pomočjo Pedo Transfer Function (PTF). Parameter horizontalne hidravlične prevodnosti (KsatHorFrac) v hidrološkem modelu prispevnega območja reke Rur je bil umerjen in na podlagi tega so bile izdelane deterministične hidrološke napovedi. Zaradi znatnih razlik med opazovanimi in simuliranimi pretoki rek Niers in Swalm ni bilo mogoče detajlno umeriti hidroloških modelov za prispevni območji teh dveh rek. Najverjetnejši vzroki za ugotovljena razhajanja med merjenimi in modeliranimi pretoki so velike količine odvzete vode za različne rabe ter izvaje regulacijskih in vzdrževalnih del v strugi reke Niers. Zato so bile hidrološke napovedi izdelane za prispevno območje reke Rur z združeno uporabo modelov wflow in Delft-FEWS. Hidrološke napoved, ustvarjena z uporabo nabora vhodnih hidrometeoroloških podatkov iz baze DWD ICON, so se izkazale kot precej nenatančne. Navkljub slabšim rezultatom simulacij je bil model sposoben za poplavni dogodek, ki se je zgodil leta 2021, napovedal visokovodne razmere 6 dni pred dejanskim pojavom poplavnega dogodka. Simulirane vrednosti pretoka so bile precenjene predvsem v spodnjem delu prispevnega območja reke Rur. Na koncu smo analizirali tudi občutljivost hidroloških napovedi na spremenjene vrednosti parametra KsatHorFraca. Izsledki študije nakazujejo možnosti izboljšav pri hidrološkem modeliranju z uporabo programa wflow in napovedovanju poplav hudourniških pritokov reke Meuse. Nadaljnje študije, ki temeljijo na naših ugotovitvah, bi lahko zagotovile natančnejšo napoved poplav v obravnavani regiji
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Precipitation Nowcasting Exploring the Impact of Echo Top Heights in Generative Models
No full textAccurate short-term forecasting of rainfall, also known as precipitation nowcasting,
is critical for a wide variety of sectors. From agriculture to early flood warning
systems, reliable precipitation forecasts are essential for informed decision-making.
Numerical Weather Prediction systems forecasting rainfall are not updated frequently
enough and lack the spatial high-resolution required for early warning on
short time scales. Deep learning nowcasting approaches can fill this gap and create
fine-resolution forecasts. Generative Adversarial Networks (GAN) have lately
shown promising results to improve forecasting of the challenging growth and dissipation
processes of rainfall. However, forecasts of intense precipitation remain a
challenge. This study investigates the prospect of improving deep learning nowcasting
by the inclusion of Echo Top Height data. For this, the state-of-the-art Deep
Generative Model of Radar was modified to include Echo Top Height data alongside
precipitation input from the Netherlands. Both the original and the modified
model were tested for accuracy on a range of continuous and categorical metrics as
well as the Fraction Skill Score. It could be shown that the inclusion of ETH data
improves the forecasting of low precipitation events on all metrics. The forecasting
of high precipitation events was improved for large-scale applications, however, it
did not improve small-scale evaluation as ETH inclusion tended to mislocate high
precipitation events
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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