1,721,064 research outputs found
Stenopsocus immaculatus
No full text<i>Stenopsocus immaculatus</i> (Stephens, 1836) <p> MATERIAL. <b>Russia</b>: Republic of Mordovia, Zubova Polyana distr., 12 km N of Potma, 54.190°N, 42.896°E, 3–15.VIII 2021, 2 spec., ME.</p> <p>DISTRIBUTION. Known from many localities all over Europe and Central Asia (Mongolia).</p>Published as part of <i>Georgiev, D. & Ruchin, A. B., 2023, NEW RECORDS OF PSOCOPTERA FROM SOME REGIONS OF EUROPEAN RUSSIA, pp. 16-20 in Far Eastern Entomologist 489</i> on page 17, DOI: 10.25221/fee.489.3, <a href="http://zenodo.org/record/10135124">http://zenodo.org/record/10135124</a>
Caecilius fuscopterus
No full text<i>Caecilius fuscopterus</i> (Latreille, 1799) <p> MATERIAL. <b>Russia</b>: Republic of Mordovia, Zubova Polyana distr., 12 km N of Potma, 54.190°N, 42.896°E, 3–15.VIII 2021, 9 spec., ME; Zubova Polyana distr., 3 km S of Molochnitsa, 54.211°N, 42.877°E, 3–15.VIII 2021, 3 spec., ME.</p> <p>DISTRIBUTION. Known from Northern and Central Europe, Central and South-East Asia (Mongolia, Vietnam).</p>Published as part of <i>Georgiev, D. & Ruchin, A. B., 2023, NEW RECORDS OF PSOCOPTERA FROM SOME REGIONS OF EUROPEAN RUSSIA, pp. 16-20 in Far Eastern Entomologist 489</i> on page 17, DOI: 10.25221/fee.489.3, <a href="http://zenodo.org/record/10135124">http://zenodo.org/record/10135124</a>
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
Neural Algorithmic Reasoning for Combinatorial Optimisation
No full textSolving NP-hard/complete combinatorial problems with neural networks is a challenging research area that aims to surpass classical approximate algorithms. The long-term objective is to outperform hand-designed heuristics for NP-hard/complete problems by learning to generate superior solutions solely from training data. Current neural-based methods for solving CO problems often overlook the inherent “algorithmic” nature of the problems. In contrast, heuristics designed for CO problems, e.g. TSP, frequently leverage well-established algorithms, such as those for finding the minimum spanning tree. In this paper, we propose leveraging recent advancements in neural algorithmic reasoning to improve the learning of CO problems. Specifically, we suggest pre-training our neural model on relevant algorithms before training it on CO instances. Our results demonstrate that by using this learning setup, we achieve superior performance compared to non-algorithmically informed deep learning models
Asymmetry at Disease Onset Is Not a Predictor of Parkinson's Disease Progression
No full textBackground: Even though a significant fraction of Parkinson's disease (PD) patients presents with only minor or no motor asymmetry, the motor symptoms in PD typically start on one side of the body and worse symptoms on the side of the disease onset usually persist long after the disease has become clinically bilateral. The asymmetric presentation of PD has been studied over the years, with some studies showing slower progression in PD subjects with asymmetric disease presentation. In other studies, however, it was not possible to relate the asymmetry to disease progression. Objective: The main objective of the present study was to assess the effect of asymmetry at disease onset on disease progression. Methods: Using the data available in the Parkinson's Progression Markers Initiative (PPMI) database, at baseline, 423 subjects with de-novo PD were included in the study. Instead of dichotomizing the subjects in asymmetric and symmetric, we kept the asymmetry index and the non-motor, disability, and motor progression at one-, three-, and five-year follow-up continuous. Pearson's r correlational analysis and the coefficient of determination R2 were used to correlate asymmetry indices and disease progression. Results: There was no correlation between neither clinically, nor DatSCAN defined asymmetry and non-motor, motor, and disability progression in the de-novo PD subjects with a 5-year follow-up. Conclusion: Asymmetry at disease onset does not predict progression of PD. Further studies are needed to investigate whether early detection of asymmetry on clinical grounds could successfully distinguish between PD and symmetric types of atypical parkinsonism in the early stages of the disease
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
Algorithmic Concept-Based Explainable Reasoning
No full textRecent research on graph neural network (GNN) models successfully applied GNNs to classical graph algorithms and combinatorial optimisation problems. This has numerous benefits, such as allowing applications of algorithms when preconditions are not satisfied, or reusing learned models when sufficient training data is not available or can’t be generated. Unfortunately, a key hindrance of these approaches is their lack of explainability, since GNNs are black-box models that cannot be interpreted directly. In this work, we address this limitation by applying existing work on concept-based explanations to GNN models. We introduce concept-bottleneck GNNs, which rely on a modification to the GNN readout mechanism. Using three case studies we demonstrate that: (i) our proposed model is capable of accurately learning concepts and extracting propositional formulas based on the learned concepts for each target class; (ii) our concept-based GNN models achieve comparative performance with state-of-the-art models; (iii) we can derive global graph concepts, without explicitly providing any supervision on graph-level concepts
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
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