168,669 research outputs found
The Strategies for Simple One-Point Ko Situation of Computer Go
No full text[[abstract]]Ko plays a very important role in Go, but most computer Go programs still cannot handle ko fights so far. Utilizing the principle of Minimax procedure, we obtain the best strategies for the simple one-point ko situation, enabling computer Go programs to gain maximum or loss minimum profit when dealing with the simple one-point ko situation. We also discuss in detail the strategies for using ko threats during the process of the ko fight.
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
EVALUATION OF THE GRAPHENE OXIDE (GO) ROLE IN THE PHOTOCATALYTIC GENERATION OF HYDROGEN IN BINARY (GO-CdS) AND TERNARY (Pt-GO-CdS) SYSTEMS
No full textWater splitting is a promising process to produce hydrogen from friendly feedstock and solar energy. In this work we have evaluated binary (GO-CdS) and ternary (Pt-GO-CdS) hybrid photocatalysts for hydrogen production assisted by visible light irradiation. Cadmium sulfide and composites with GO were prepared by sonochemical and thermal methods. GO addition took place by different strategies: during the synthesis or by mechanical mixture. A variety of configurations was tested and the best performance in hydrogen production among all materials was the ternary photocatalyst named Pt(GO/CdSTT), whose hydrogen production rate was 651 µmol gcat-1 h-1. Such material was obtained by thermal method with GO addition during the synthesis. Additionally, the XRD and Raman analyses have confirmed the GO photoreduction during photocatalytic hydrogen evolution.</p
Go-around accidents and general aviation safety
No full textIntroduction: Changes in General Aviation (GA) accident rates, specifically in the go-around phase, are examined by comparing the number of accidents, the proportion of fatal accidents and the proportion of certain causes of accidents over time.
Methods: Two sets of accidents from 2000 to 2004 and from 2013 to 2017 were extracted from the National Transportation Safety Board online database.
Results: Although the total number of GA accidents per landing significantly decreased over time, the proportion of fatal accidents in the go-around phase increased. Fatalities most often occurred in instrument meteorological conditions.
Conclusion: Advances in technology and training show improvements in GA accident rates but not for accidents in the go-around phase. Scenario-based learning is recommended to include specific instruction concerning the timing of go-around procedures in unstable flights
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
Surface functionalization of silicon micropillars spin-coated with Er-doped YSO silicate nanoparticles
No full textA text-based visual context modulation neural model for multimodal machine translation
No full textWe introduce a novel multimodal machine translation model that integrates image features modulated by its caption. Generally, images contain vastly more information rather than just their description. Furthermore, in multimodal machine translation task, feature maps are commonly extracted from pre-trained network for objects. Therefore, it is not appropriate to utilize these feature map directly. To extract the visual features associated with the text, we design a modulation network based on the textual information from the encoder and visual information from the pretrained CNN. However, because multimodal translation data is scarce, using overly complicated models could result in poor performance. For simplicity, we apply a feature-wise multiplicative transformation. Therefore, our model is a modular trainable network embedded in the architecture in existing multimodal translation models. We verified our model by conducting experiments on the Transformer model with the Multi30k dataset and evaluating translation quality using the BLEU and METEOR metrics. In general, our model was an improvements over a text-based model and other existing models. (C) 2020 Elsevier B.V. All rights reserved.11Nsciescopu
Synergetic analysis of spatio-temporal EEG patterns: Alzheimers disease
No full textA spatio-temporal analysis has been employed on EEG signals recorded in groups of patients with Alzheimer's disease (AD). The so-called Karhunen-Loeve analysis method was applied to four groups of subjects: 12 patients who were diagnosed as having severe AD, 8 mild AD patients, 10 vascular dementia patients, and 10 normal aged controls, to obtain the spatio-temporal eigenpatterns. The local difference of the global EEG pattern in mild AD patients from that of normal controls was expanded to the frontal regions in the case of severe AD. The analysis showed significant bilateral temporal functioning differences and interhemispheric connection difficulty, along with remarkable intra-hemispheric correlation in severe AD patients. Compared to the normal controls, severe AD patients' brains exhibit only weak local connections and correlations, resulting into limited harmonious inter-hemispheric information processing. The results from the spatio-temporal EEG study of AD patients can be considered to be due to a change in the relative activity of the brain corresponding to the pathologic variation in AD, and the results are in accordance with reported clinical studies
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
Low temperature gas sensing properties of Graphene Oxide/SnO2 nanowires composite for H-2
No full textIn this work Graphene Oxide (GO) and SnO2 nanowires (NWs) composite
sensing performance were studied. Single crystal SnO2 NWs were directly
grown by thermal evaporation method and GO was successfully synthesized
using modified Hummers method. RF magnetron sputtered Pt particles were
used as a catalyst for the growth of SnO2 NWs. Drop cast technique was
used to deposited GO on top of the SnO2 NWs. FE-SEM (LEO 1525) was used
to investigate the morphology of SnO2 NWs and GO. Fabricated sensors
were tested towards various concentration of H-2 at different working
temperatures. This GO/SnO2 hybrid sensors show a reversible response to
H-2 at low operating temperature. (C) 2016 The Authors. Published by
Elsevier Ltd
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