156,432 research outputs found
Tuberfemurus torulisinotus Deng, In Deng & Lu 2019
No full textTuberfemurus torulisinotus Deng, 2019 (Figure 15 D–E) Tuberfemurus torulisinotus Deng, In Deng & Lu, 2019: 136 (holotype - ♀, China: Guizhou prov., Daozhen County, in EMHU, examined). Type material examined. Holotype, ♀ and paratype ♂, China: Guizhou prov., Daozhen County, Dashahe, 09 VIII. 2017, EMHU. Distribution. China (Guizhou).Published as part of Deng, Wei-An, 2020, Taxonomic revision of the subfamily Cladonotinae (Orthoptera: Tetrigidae) from China with description of three new species, pp. 403-440 in Zootaxa 4789 (2) on pages 434-437, DOI: 10.11646/zootaxa.4789.2.4, http://zenodo.org/record/388770
Shan Deng performs with Trio Tasman - Yi Wang (violin) Brendan Conroy (cello) Shan Deng (piano) 'Three Nocturnes' by Ernest Bloch, 'Piano Trio in C major K548' by Mozart, 'Piano Trio in D minor' by Anton Arensky
No full textShan Deng performs; 'Three Nocturnes' by Ernest Bloch. 'Piano Trio in C major K548' by Mozart. 'Piano Trio in D minor' by Anton Arensky. Trio Tasman Yi Wang, violin; Brendan Conroy, cello; Shan Deng, piano. Federation Concert Hall for ABC Classic FM. Tasmanian Conservatorium of Music held CD (SD2, continuous recording) Classic FM 'Sunday Live' Direct Broadcas
Holotype of <i>Mazus sunhangii</i> D. G. Zhang & T. Deng.
No full textHolotype of Mazus sunhangii D. G. Zhang & T. Deng.</p
Fig. 1. — Aralia lihengiana J. Wen, L. Deng & X in Aralia lihengiana J. Wen, L. Deng & X. Shi, a new species of Araliaceae from China
No full textFig. 1. — Aralia lihengiana J. Wen, L. Deng & X. Shi: A, branch with a leaf; B, flowering branch; C, close-up of leaflet margin; D, close-up of inflorescence branch; E, open flower; F, old flower after shedding of corolla; G, fruit with 3 persistent styles.Published as part of Wen, Jun, Deng, Lilan & Shi, Xiaochun, 2002, Aralia lihengiana J. Wen, L. Deng & X. Shi, a new species of Araliaceae from China, pp. 217-220 in Adansonia (3) 24 (2) on page 219, DOI: 10.5281/zenodo.460515
Justicia bolavenensis Y. F. Deng 2022, nom. nov.
No full text<p> <b>Justicia bolavenensis</b> Y. F. Deng, <i>nom. nov.</i></p> <p> Replaced name: <i>Justicia vagabunda</i> var. <i>laxiflora</i> K. Yamaz. & Tagane, Acta Phytotax. Geobot. 72: 163. 2021.</p> <p> Type:— Laos. Champasak Province: Dong Hua Sao National Protected Area [Bolaven Plateau], Paksong District, near Nong Luang Village, elev. 1,244 m, 15°04ʹ44.07ʺN, 106°12ʹ15.90ʺE, 18 Dec. 2019, fl. & fr., <i>Souladeth P., Tagane S., Kongxaysavath D., Rueangruea S., Suddee S., Suyama Y., Suzuki E. L 3418</i> (holotype: FOF; isotypes: BKF, KAG [KAG155782]).</p> <p> <b>Etymology</b>:—The specific epithet is derived from its type locality, Bolaven Plateau.</p> <p> <b>Distribution</b>:—The species is only known from its type locality, Bolaven Plateau, Champasak Province, Laos.</p>Published as part of <i>Deng, Yun-Fei, 2022, The identity of Justicia vagabunda var. laxiflora (Acanthaceae), pp. 106-108 in Phytotaxa 536 (1)</i> on page 107, DOI: 10.11646/phytotaxa.536.1.8, <a href="http://zenodo.org/record/6224591">http://zenodo.org/record/6224591</a>
Coauthor prediction for junior researchers
Full text linkResearch collaboration can bring in different perspectives and generate more productive results. However, finding an appropriate collaborator can be difficult due to the lacking of sufficient information. Link prediction is a related technique for collaborator discovery; but its focus has been mostly on the core authors who have relatively more publications. We argue that junior researchers actually need more help in finding collaborators. Thus, in this paper, we focus on coauthor prediction for junior researchers. Most of the previous works on coauthor prediction considered global network feature and local network feature separately, or tried to combine local network feature and content feature. But we found a significant improvement by simply combing local network feature and global network feature. We further developed a regularization based approach to incorporate multiple features simultaneously. Experimental results demonstrated that this approach outperformed the simple linear combination of multiple features. We further showed that content features, which were proved to be useful in link prediction, can be easily integrated into our regularization approach. © 2013 Springer-Verlag
MeSH term explosion and author rank improve expert recommendations
Full text linkInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
[M(OOCC6H4PO3H)(H2O)] (M(II) = Mn, Co, Ni): layered metal phosphonates showing variable magnetic behavior
No full textThree novel isomorphous transition metal phosphonate compounds with formula [M(OOCC6H4PO3H)(H2O)] [M(II) = Mn(1), Co(2), Ni(3)] were prepared through hydrothermal reaction of 2-carboxyphenylphosphonic acid and metal salts. Within the structure, the {M2O2} dimers made up of edge-sharing{MO6} octahedra are connected by carboxylate and/orphosphonate groups, leading to a 2-D layer. The phenyl groups fill in the inter-layer spaces. Magnetic measurements reveal that dominant antiferromagnetic interactions are observed in compounds 1 and 2, while for compound 3, the dominant ferromagnetic interaction leads to a spontaneous ferromagnetic long range ordering below T-c = 4.0 K
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
A d-summable approach to Deng information dimension of complex networks
Full text linkSeveral new network information dimension definitions have been proposed in
recent decades, expanding the scope of applicability of this seminal tool. This
paper proposes a new definition based on Deng entropy and d-summability (a
concept from geometric measure theory). We will prove to what extent the new
formulation will be useful in the theoretical and applied points of view
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