324,820 research outputs found
What treatments are most effective for tinea? [Q&A feature]
No full textIn this month’s Acta Eruditorum column, Physician Editor Abby S. Van Voorhees, MD, talks with Dr. Magdy El-Gohary about his recent Cochrane Database of Systematic Reviews article, “Topical Antifungal Treatments for Tinea Cruris and Tinea Corporis.
Diversity and evolutionary trends in the floral characters of some taxa of Scrophulariaceae sensu lato
No full textMourad, Magdy M. (2015): Diversity and evolutionary trends in the floral characters of some taxa of Scrophulariaceae sensu lato. Adansonia 37 (1): 149-159, DOI: 10.5252/a2015n1a1
IMTA applications with mediterranean sea cucumbers: progress and problems
No full textIntegrated Multi-Trophic Aquaculture (IMTA) is a new
generation aquaculture that allows for the reduction of environmental impacts, higher profits and the diversification of
commercial production. This integrative approach, in fact, offers a natural means of encouraging nutritional recycling
within aquaculture farms, simulating a natural community through the employment of extractive species with a low
trophic level and high market value. In this context, sea cucumbers as deposit feeders species could represent promising
candidates for co-culture in IMTA, considering their feeding habits and high market value. However, although
their ecological role in many marine habitats and their feeding behaviour seem highly promising and compatible with
extensive integration, there are only a few investigations available regarding the co-culture of Mediterranean sea cucumbers in productive systems (Tolon et al., 2017; Neofitou et al., 2019; Grosso et al 2021; Bastien Sadoul et al., 2022; Cutajar et al., 2022). In this context, aquaculture could offer a sustainable alternative to the exploitation of the wild population, to meet
current market demand and at the same time could promote waste bioremediation nearby productive areas. With
regard to Mediterranean sea cucumber species aquaculture, a consistent body of research literature has been produced in the last few years, paving the way for the artificial reproduction of many European species by developing a spawning
induction methodology and larval rearing protocol (Domínguez-Godino et al 2015; Domínguez-Godino et al 2018;
Rakaj et al 2018; Rakaj et al., 2019; Laguerre et al., 2020; Magdy et al.,2021; Schagerström et al., 2022). Nevertheless,
there are still some challenges facing sea cucumber aquaculture that need to be overcome for future aquaculture
development. Here is presented the up-to-date research progress and problems and future opportunities for tow Mediterranean sea cucumber species H. tubulosa and H.polii
Diffusive author(s), cohesive author: Analysis of S/N (1994)
No full textThis study indicates the ways in which various aspects of the author(s) are brought forth in Dumb type’s performance art, the S/N production. Previous research has suggested a non-hierarchical organization of Dumb type and the absence of a “privileged author” in Dumb type’s collaborative work, S/N. However, the results that I have investigated from member’s interviews on the creative process of S/N along with my analysis of the recorded images of S/N, indicate a different aspect of the author(s). First, S/N was created through, so to speak, the collective ideas of the members of Dumb type. Further, S/N has at least nine quotations from previous performances, installations, and printed writings, besides the work-in-progress technique. Explicating one of the “author functions” as given by Michel Foucault, each text has plural subjects of the author. However, it has been revealed from members’ interviews that Teiji Furuhashi had a decision-making role in selecting the members’ ideas within the performance. Since then, S/N has had plural subjects of creation; however, Furuhashi is one of the subjects of creation along with the “privileged author.” S/N has plural authors (diffusive authors) yet at the same time, it has a “privileged author,” Teiji Furuhashi (cohesive author)
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
Computational sarcasm detection and understanding in online communication
No full textThe presence of sarcasm in online communication has motivated an increasing number of computational investigations of sarcasm across the scientific community. In this thesis, we build upon these investigations. Pointing out their limitations, we bring four contributions that span two research directions: sarcasm detection and sarcasm understanding.
Sarcasm detection is the task of building computational models optimised for recognising sarcasm in a given text.
These models are often built in a supervised learning paradigm, relying on datasets of texts labelled for sarcasm.
We bring two contributions in this direction.
First, we question the effectiveness of previous methods used to label texts for sarcasm. We argue that the labels they produce might not coincide with the sarcastic intention of the authors of the texts that they are labelling.
In response, we suggest a new method, and we use it to build iSarcasm, a novel dataset of sarcastic and non-sarcastic tweets.
We show that previous models achieve considerably lower performance on iSarcasm than on previous datasets, while human annotators achieve a considerably higher performance, compared to models, pointing out the need for more effective models.
Therefore, as a second contribution, we organise a competition that invites the community to create such models.
Sarcasm understanding is the task of explicating the phenomena that are subsumed under the umbrella of sarcasm through computational investigation.
We bring two contributions in this direction.
First, we conduct an alaysis into the socio-demographic ecology of sarcastic exchanges between human interlocutors. We find that the effectiveness of such exchanges is influenced by the socio-demographic similarity between the interlocutors, with factors such as English language nativeness, age, and gender, being particualry influential. We suggest that future social analysis tools should account for these factors.
Second, we challenge the motivation of a recent endeavour of the community; mainly, that of augmenting dialogue systems with the ability to generate sarcastic responses. Through a series of social experiments, we provide guidelines for dialogue systems concerning the appropriateness of generating sarcastic responses, and the formulation of such responses.
Through our work, we aim to encourage the community to consider computational investigations of sarcasm interdisciplinarily, at the intersection of natural language processing and computational social science
Author's address:
No full textCan archives of audiovisual TV interviews be used to make authors more visible to students, and thereby reduce the learning gap between native and non-native language speakers in college classes? We examined students in a college course who learned about one scholar's ideas through watching an audiovisual TV interview (i.e., visible author format) and about another scholar's ideas through reading a formal text description (i.e., invisible author format). For the invisible author, native language speakers scored significantly higher than the non-native language speakers on a corresponding exam question (i.e., a cognitive measure), generated more words on the exam question (i.e., a motivational measure), and mentioned the author's name more often in answering the exam question (i.e., an affective measure). For the visible author, the groups did not differ on any of these measures. These findings provide evidence for the idea that making the author visible through audiovisual TV interviews can eliminate the learning gap between native and non-native language speakers. 3 Universities around the world serve students who are non-native speakers of th
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