1,729,919 research outputs found
Chinese Student Vincent Wang Yu-san
No full textStudio photo of Chinese student Vincent Wang Yu-san (Wang Yusan 王育三).https://digitalcommons.whitworth.edu/g41_students_in_europe/1015/thumbnail.jp
Temperature-dependent gain and noise figure characteristics in O-band bismuth-doped fibre amplifier
No full textThis dataset supports the publication: Wang, Yu et al (2019). Temperature dependent gain and noise figure characteristics of O-band bismuth-doped fibre amplifier. ECOC 2019.</span
Redundancy of the Wang-Yu Sufficient Conditions
Full text linkWang and Yu showed that MD5 was not collision-resistant, but it is known that their sufficient conditions for finding a collision of MD5 includes some mistakes. In this paper, we examine the sufficient conditions by computer simulation. We show that the Wang-Yu conditions include 16 unnecessary conditions for making a collision. Sasaki et al. claimed that modifying one condition made it possible to remove eleven conditions. However, the result of our computer simulation shows that their conditions does not make a collision.
A new species of Prosopocoilus Hope & Westwood, 1845 from China and Vietnam (Coleoptera: Lucanidae: Lucaninae)
No full textWang, Cheng-Bin, Wang, Yu (2021): A new species of Prosopocoilus Hope & Westwood, 1845 from China and Vietnam (Coleoptera: Lucanidae: Lucaninae). Zootaxa 5082 (4): 384-392, DOI: https://doi.org/10.11646/zootaxa.5082.4.
Arcyria imperialis Q. Wang & Yu Li 2006
No full textArcyria imperialis (G. Lister) Q. Wang & Yu Li (Fig. 1) Lectotype box B.M. 4067 [BM001085195]: sporocarps clustered and shortly stalked (rarely sessile). Sporotheca cylindrical, sloping, up to 0.1 mm height, pale coppery in colour, changing to yellowish brown when ripe. Stalk black, 0.1–0.2 mm long. Capillitium separated from the peridium, yellowish reddish, threads branched and anastomosing, 4–6 µm diam., ornamented with 2–3 spirals bands and spines on edges of the spirals. Under the SEM the capillitium shows spines that bend easily on the edges of the spirals bands, with variable length and density, reaching up to 1 µm in length. Spores globose, 6.3‒7.5 × 6.3‒7.5 µm, av. 6.9 × 6.9 µm, Qav = 1 (n = 25), pale to yellowish in mass, hyaline to slightly yellowish and smooth to slightly warty by LM. Under the SEM, spore ornamentation is formed by short and regulary distributed baculae 0.1–0.15 µm in length, of the baculate type in the sense of Rammeloo (1974). Among a majority of smaller warts larger warts are scattered that are also visible by LM. Examination by SEM reveals that they are made up of 2–5 baculae joined to form a larger wart (0.2–0.3 µm). Syntypus, box B.M. 4068 [BM001085196]: This sample has been obtained from a culture from spores of the type, and it is better preserved than the lectotype. It consists of numerous sporocarps and the morphological and microscopic characters of this species are more uniformly developed compared to the lectotype specimen.Published as part of Moreno, G., Castillo, A. & Thüs, H., 2022, Critical revision of Trichiales (Myxomycetes) at the Natural History Museum London (BM), pp. 1-20 in Phytotaxa 567 (1) on page 2, DOI: 10.11646/phytotaxa.567.1.1, http://zenodo.org/record/713788
Replication Data for: Leveraging Large Language Models for Fuzzy String Matching in Political Science
No full textFuzzy string matching remains a key issue when political scientists combine data from different sources. Existing matching methods invariably rely on string distances, such as Levenshtein distance and cosine similarity. As such, they are inherently incapable of matching strings that refer to the same entity with different names such as ''JP Morgan'' and ''Chase Bank'', ''DPRK'' and ''North Korea'', ''Chuck Fleischmann (R)'' and ''Charles Fleischmann (R)''. In this letter, we propose to use large language models to entirely sidestep this problem in an easy and intuitive manner. Extensive experiments show that our proposed methods can improve the state of the art by as much as 39% in terms of average precision while being substantially easier and more intuitive to use by political scientists. Moreover, our results are robust against various temperatures. We further note that enhanced prompting can lead to additional performance improvements
Replication Data for: Topic Classification for Political Texts with Pretrained Language Models
No full textSupervised topic classification requires labeled data. This often becomes a bottleneck as high-quality labeled data is expensive to acquire. To overcome the data scarcity problem, scholars have recently proposed to use cross-domain topic classification to take advantage of pre-existing labeled datasets. Cross-domain topic classification only requires limited annotation in the target domain to verify its cross-domain accuracy. In this letter, we propose supervised topic classification with pre-trained language models as an alternative. We show that language models finetuned with 70% of the small annotated dataset in the target corpus could outperform models trained using large cross-domain datasets by 27% and that models finetuned with 10% of the annotated dataset could already outperform the cross-domain classifiers. Our models are competitive in terms of training time and inference time. Researchers interested in supervised learning with limited labeled data should find our results useful. Our code and data are publicly available
Dataset in support of the Southampton doctoral thesis : The study of bismuth doped fibres and the development of broadband bismuth doped fibre amplifiers.
No full textThe Excel files contain all experimental data used for generating figures in this thesis.</span
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