146,335 research outputs found
Jang Jin
No full textPaquet, D. (2007). Jang Jin. Nosferatu. Revista de cine. (55):169-174. https://riunet.upv.es/handle/10251/41526.Importación Masiva1691745
The Vitamin D Conundrum
No full textJang, Y.D.; Monegue, H.J.; Lindemann, M.D.. (2012). The Vitamin D Conundrum. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/204324
Deori Imad Jang
No full textLocated in Gun Foundry area, Imad Jang, (d. 1918) built this European-styled mansion between 1890-95. He was the commissioner of police in the late 19th century. Erected on a high pediment, the mansion’s European façade is indicated by large Ionic columns. Semi-circular windows adore the drawing room of the mansion.exterior, 200
A spectral element formulation for fluid-structure interactions : applications to flow through collapsible channels
No full textThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1996.Includes bibliographical references (leaves [126]-130).by James Jang-Sik Shin.Ph.D
LOST IN SPACE: THE SURPRISING ROLE OF INFORMATION SPATIAL LAYOUT
No full textLOST IN SPACE: THE SURPRISING ROLE OF INFORMATION SPATIAL LAYOUTJooyoung Jang, M.S.University of Pittsburgh, 2009Prior research has found that information presentation formats matter for how easily people understand certain information and solve problems using the presented information. The major finding from those studies is that information should be presented in a type of format that cognitively best fits to characteristics of given problems. Much of this prior has focused on conceptual elements of presentation format (e.g., words vs. diagrams, or graphs vs. tables) rather than more physical elements. However, with effort and strategy considerations in mind, more physical elements may also influence performance. Here, I focused on an understudied physical element that is pragmatically important and potentially theoretically exciting: the spatial layout of the information. Specifically, is there a difference between superimposed information (e.g., presented in a pile of pages) and distributed information (e.g., when the same pages of information is spread out sticking on a wall)? This question originated from an observation of meteorologists making weather forecasts. In an earlier study, meteorologists made a forecast in two conditions: mapwall and computer. Although the computer user could use animations and comparisons, there was no difference in accuracy but there was a large, nearly 50% time difference: Mapwall users made predictions far faster than computer users. The purpose of this master's project was to develop a lab task to replicate the effect and to reveal the underlying mechanism. The results showed a large speedup effect of the distributed format, but only on a task involving information integration. There, distributed task speed was almost twice as fast. An underlying mechanism for the effect, the strategy selection hypothesis, was also tested
MeSH term explosion and author rank improve expert recommendations
No full textInformation 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
Sindosium longifilum Jang & Sörensson & Park 2023, sp. nov.
No full text<i>Sindosium longifilum</i> sp. nov. <p>(Figs 1C–D, 3, 5: triangle)</p> <p> <b>Diagnosis.</b> The adult of <i>Sindosium longifilum</i> can be distinguished from other <i>Sindosium</i> species by an unusually prolonged seta on the last anterior serration of the elytral humeri and oval spermatheca with pointed basal tip.</p> <p> <b>Description.</b> Body length 0.95–1.00 mm, width 0.53–0.55 mm; oval, convex; color reddish brown, evenly punctuate with pale yellow pubescence.Antennomeres I–II light reddish brown, III–XI reddish yellow (Figs. 1C–D).</p> <p> <i>Head</i>. Broad, rounded; weakly, finely, sparsely punctuate. Eyes large; distance between eyes in ventral view 0.19 mm. Antennal length 0.42 mm; Antennomeres I–II large, thicker than others; III short, cone-shaped; IV–VII long, weakly swollen distally; VIII slightly shorter; IX–XI clavate, basal half of seta darker; IX ovoid; X basal half swollen; XI ovoid (Fig. 3A).</p> <p> <i>Thorax</i>. Pronotum length 0.30 mm, width 0.49 mm; widest slightly behind middle; lateral margin serrated, flattened, curved, and basally narrowed; surface shining, rather weakly, evenly punctuate with pubescence; posterior margin wider than anterior (Fig. 3B). Scutellum equilaterally triangular (Fig. 3C).</p> <p> <i>Wings</i>. Elytral length 0.69 mm, long, complete; rather weakly, evenly punctuate with pubescence; lateral margin serrate anteriorly, with 4–5 denticules, each with long seta, posterior one conspicuously long; posterior margin rounded (Fig. 3E). Hindwing blade wide, membranous; anterior petiolar margin with one distinct seta, posterior margin setose on distal half (Fig. 3D).</p> <p> <i>Meso-, Metaventrite.</i> Mesoventrite anteriorally with prominent collar and keel; keel wider than median extension of collar; laterally of mesocoxae, mesopleural [anterior] suture straight, directed obliquely anterad, metaventral [posterior] line rather straight, distally obtusely angled, directed posterad. Mesoventrite medially shorter than metaventrite (Fig. 3G).</p> <p> <i>Abdomen</i>. Abdominal sternite I anteromedially with prominent knob fitting to metaventral [intermetacoxal] condyle (Figs. 3G, J–K). Tergite X small, in male trapezoid, in female semicircular (Figs. 3H–I).</p> <p> <i>Legs</i>. Male foreleg with pubescence around tarsus (Fig. 3F). Procoxae contiguous. Mesocoxae separated by arrow-shaped process. Metacoxae short, wide, almost contiguous, only separated by an intermetacoxal condyle (Figs. 3B, G).</p> <p> <i>Male genitalia.</i> Aedeagus elongate, flattened, slightly asymmetric, basal foramen skewed, apex angular. Each paramere with three setae, apical one longer (Fig. 3L).</p> <p> <i>Female genitalia.</i> Spermatheca length 0.15 mm, width 0.087 mm; oval, slightly longer than broad, basal tip pointed with chord, mushroom-shaped part short and stout (Fig. 3M).</p> <p> <b>Material examined</b> <i>(n=36, 16♁♁ 20♀♀).</i></p> <p> Holotype (deposited in NIBR), ♁ (dry), <b>Korea:</b> Gyeonggi Prov. Bogwangsa, 87, Bogwang-ro 474beon-gil, Gwangtan-myeon, Paju-si, 15.V.2021, 37°45′06″N 126°54′56″E, 190 m, sifting leaf & soil litter, J.-W. Seo.</p> <p> Paratypes (deposited in CBNUIC), 1♁ (dry), same data as in holotype; 2♁♁ 2♀♀ (2♁♁, dry; 2♀♀, slide), <b>Korea:</b> Chungbuk Prov. Gaesin-dong, Heungdeok-gu, Cheongju-si, 01.IV.2020, 36°37′43.5″N 127°27′16.7″E, 75 m, sifting leaf & soil & deadwood debris, M.-S. Jang, J.-Y. Kang, Y.-J. Choi, T.-Y. Jang, U.-J. Byeon, J.-W. Kim; 1♀ (dry), <b>Korea:</b> Chungbuk Prov. Jagwangsa, Mt. Worak, 1560-35, Mireuksonggye-ro, Hansu-myeon, Jecheon-si, 28. V.2020, 36°52′52.0″N 128°05′10.0″E, 262 m, sifting leaf & soil litter, M.-H. Song, U.-J. Byeon; 3♀♀ (2♀♀, dry; 1♀, slide), <b>Korea:</b> same locality, date, method and collector, 36°52′53.0″N 128°05′08.0″E, 243 m; 1♀ (dry), same locality, 25. V.2021, 36°52′53.3″N 128°05′11.6″E, 270 m, sifting soil litter & flood debris, J.-W. Kang, Y.-J. Choi, M.-H. Song; 2♀♀ (dry), <b>Korea:</b> Chungbuk Prov. Simbok Valley, 95, Yeonpung-ro galgeum 3-gil, Yeonpung-myeon, Goesan-gun, 30. V.2021, 36º46'49.44"N 127º57'45.00"E, 270 m, sifting leaf & soil litter, J.-W. Seo; 1♁ (dry), <b>Korea:</b> Gangwon Prov. Joldeulu-gil, Bukpyeong-myeon, Jeongseon-gun, 27.X.2019, 37°26′54.6″N 128°38′21.0″E, 312 m, sifting leaf & soil litter near stream, M.-S. Jang, J.-W. Kang, U.-J. Byeon; 1♁ (dry), <b>Korea:</b> Gyeongbuk Prov. Seonghyeon-gil, Yongmun-myeon, Yecheon-gun, 04. V.2019, 36°40′48.0″N 128°25′09.0″E, 134 m, sifting leaf & soil litter, U.-J. Byeon; 1♁ (dry), <b>Korea:</b> Gyeonggi Prov. Hoguk-ro 550beon-gil, Jangheungmyeon, Yangju-si, 08.VII.2019, 37º42'38"N 126º58'55"E, 150 m, sifting leaf litter & deadwood debris, Y.-J. Choi, T.-Y. Jang; 4♁♁ (3♁♁, slide; 1♁, in 95% EtOH), <b>Korea:</b> Jeju Island. 137, Donnaeko-ro, Seogwipo-si, 26.IX.2021, 33°17'59.8"N 126°34'59.3"E, 263 m, sifting leaf & soil litter, J.-W. Kang, T.-Y. Jang; 2♀♀ (dry), same locality, date and method, J.-W. Kang, U.-J. Byeon; 1 ♁ 1♀ (in 95% EtOH), <b>Korea:</b> Jeju Island. 516-ro, Namwon-eup, Seogwipo-si, 26.VIII.2021, 33°19'57.9"N 126°36'25.2"E, 504 m, sifting soil & deadwood debris, J.-W. Kang, J.-W. Kim, J.-I. Shin; 3♀♀ (dry), same locality, 26.IX.2021, 33°20'53.6"N 126°36'50.8"E, 601 m, sifting leaf & soil & deadwood debris, J.-W. Kang, T.-Y. Jang; 2♁♁ (slide), <b>Korea:</b> Jeju Island. Mt. Halla, 1100-ro, Aewol-eup, Jeju-si, 28.XI.2021, 33°22'37"N 126°28'06"E, 1012 m, sifting leaf & soil litter, J.-W. Kang, M.-H. Song, J.-I. Shin; 1♀ (dry), <b>Korea:</b> Jeonnam Prov. Mt. Doksil, Gageo island, Gageodo-gil, Heuksan-myeon, Sinan-gun, 07.VII.2020, 34°03′48.4″N 125°07′21.0″E, 366 m, sifting leaf & soil litter, M.-H. Song; 2♀♀ (dry), same locality, 08.VII.2020, 34°04′59.0″N 125°06′21.0″E, 474 m, sifting leaf & soil litter, T.-Y. Jang; 1 ♁ 1♀ (slide), same locality, 19.IV.2021, 34°05'13.3"N 125°06'17.1"E, 415 m, sifting leaf & soil litter near rock, J.-W. Kang; 1♀ (dry), <b>Korea:</b> Jeonnam Prov. Gogeum Island, 102, Cheonghakdong-gil, Gogeum-myeon, Wando-gun, 07.VII.2022, 34°25'18.6"N 126°48'19.5"E, 31 m, sifting leaf & soil litter, S.-H. Choi, J.-W. Seo, U.-J. Byeon; 1♁ (dry), <b>Korea:</b> Jeonnam Prov. Yaksan Island, 566, Yaksanilju-ro, Yaksan-myeon, Wando-gun, 07.VII.2022, 34°21'44.3"N 126°55'00.5"E, 109 m, sifting leaf & soil litter, S.-H. Choi, J.-W. Seo, U.-J. Byeon.</p> <p> <b>Distribution.</b> South Korea (Fig 5: triangle).</p> <p> <b>Etymology.</b> The Latin adjective stem “long-” (long) and noun “filum” (filament) refers to the longest seta on the elytra.</p>Published as part of <i>Jang, Taeyoung, Sörensson, Mikael & Park, Jong-Seok, 2023, Three new species of the subfamily Nossidiinae (Coleoptera: Ptiliidae) from South Korea, pp. 537-547 in Zootaxa 5319 (4)</i> on pages 542-544, DOI: 10.11646/zootaxa.5319.4.4, <a href="http://zenodo.org/record/8203292">http://zenodo.org/record/8203292</a>
Associations between type D personality, moral disengagement, and cyber aggression among university students
No full textThe Internet has become an indispensable part of life, with people now spending a substantial portion of their time in cyberspace. While cyberspace has some benefits, owing to its anonymity and indirect nature, its accessibility has also resulted in cases of cyber aggression. This cross-sectional study identified the predictors of cyber aggression among university students. Data were collected from 400 university students using an online questionnaire. Multiple regression analysis was performed to identify the predictors of university students' cyber aggression, including Type D personality and moral disengagement. The regression model identified that, in an anonymous context, cyber aggression was more prevalent among students who were male and who displayed Type D personality traits, lower moral justification, higher advantageous comparison, higher distortion of consequences, and higher attribution of blame. Further, cyber aggression in a non-anonymous context was more prevalent among male students; namely, students with a lower social inhibition aspect of Type D personality; and students with higher advantageous comparison, distortion of consequences, and attribution of blame. There were significant differences in cyber aggression in an anonymous context according to gender and Type D personality. Furthermore, Type D personality and moral disengagement were associated with the degree of cyber aggression. Therefore, to promote healthy Internet use and prevent cyber aggression, gender-specific and personality-specific interventions should be developed, and strategies that prevent moral disengagement in university students should be implemented.N
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
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