Erratum to: Self-regulated learning microanalysis as a tool to inform professional development delivery in real-time     

Erin E. Peters-Burton  Ivan S. Botov 《Metacognition and Learning》2017,12(2):295-295

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Probabilistic topic modeling in multilingual settings: An overview of its methodology and applications     

Ivan Vulić  Wim De Smet  Jie Tang  Marie-Francine Moens 《Information processing & management》2015

Probabilistic topic models are unsupervised generative models which model document content as a two-step generation process, that is, documents are observed as mixtures of latent concepts or topics, while topics are probability distributions over vocabulary words. Recently, a significant research effort has been invested into transferring the probabilistic topic modeling concept from monolingual to multilingual settings. Novel topic models have been designed to work with parallel and comparable texts. We define multilingual probabilistic topic modeling (MuPTM) and present the first full overview of the current research, methodology, advantages and limitations in MuPTM. As a representative example, we choose a natural extension of the omnipresent LDA model to multilingual settings called bilingual LDA (BiLDA). We provide a thorough overview of this representative multilingual model from its high-level modeling assumptions down to its mathematical foundations. We demonstrate how to use the data representation by means of output sets of (i) per-topic word distributions and (ii) per-document topic distributions coming from a multilingual probabilistic topic model in various real-life cross-lingual tasks involving different languages, without any external language pair dependent translation resource: (1) cross-lingual event-centered news clustering, (2) cross-lingual document classification, (3) cross-lingual semantic similarity, and (4) cross-lingual information retrieval. We also briefly review several other applications present in the relevant literature, and introduce and illustrate two related modeling concepts: topic smoothing and topic pruning. In summary, this article encompasses the current research in multilingual probabilistic topic modeling. By presenting a series of potential applications, we reveal the importance of the language-independent and language pair independent data representations by means of MuPTM. We provide clear directions for future research in the field by providing a systematic overview of how to link and transfer aspect knowledge across corpora written in different languages via the shared space of latent cross-lingual topics, that is, how to effectively employ learned per-topic word distributions and per-document topic distributions of any multilingual probabilistic topic model in various cross-lingual applications.  相似文献   

Correlates of Psychological Abuse Perpetration in College Dating Relationships     

Barbara Gormley  Frederick G. Lopez 《Journal of College Counseling》2010,13(1):4-16

This study examined the contributions of gender, adult romantic attachment orientations (i.e., avoidance, anxiety), defense mechanisms (i.e., narcissism, other‐splitting), and stressors to college student psychological abuse perpetration (dominance). Men with higher levels of attachment avoidance, narcissistic entitlement, and stressful problems reported more dominance of female partners. Women with higher levels of other‐splitting reported more dominance of male partners. Attachment avoidance contributed to women's dominance of male partners only in the context of elevated narcissistic entitlement or few stressors.  相似文献   

Localized removal of layers of metal,polymer, or biomaterial by ultrasound cavitation bubbles     

David Fernandez Rivas  Bram Verhaagen  James R. T. Seddon  Aaldert G. Zijlstra  Lei-Meng Jiang  Luc W. M. van der Sluis  Michel Versluis  Detlef Lohse  Han J. G. E. Gardeniers 《Biomicrofluidics》2012,6(3)

We present an ultrasonic device with the ability to locally remove deposited layers from a glass slide in a controlled and rapid manner. The cleaning takes place as the result of cavitating bubbles near the deposited layers and not due to acoustic streaming. The bubbles are ejected from air-filled cavities micromachined in a silicon surface, which, when vibrated ultrasonically at a frequency of 200 kHz, generate a stream of bubbles that travel to the layer deposited on an opposing glass slide. Depending on the pressure amplitude, the bubble clouds ejected from the micropits attain different shapes as a result of complex bubble interaction forces, leading to distinct shapes of the cleaned areas. We have determined the removal rates for several inorganic and organic materials and obtained an improved efficiency in cleaning when compared to conventional cleaning equipment. We also provide values of the force the bubbles are able to exert on an atomic force microscope tip.  相似文献   

Prediction of segmental lean mass using anthropometric variables in young adults     

Scafoglieri A  Tresignie J  Provyn S  Marfell-Jones M  Reilly T  Bautmans I  Clarys JP 《Journal of sports sciences》2012,30(8):777-785

The aim of the present study was to develop and cross-validate anthropometrical prediction equations for segmental lean tissue mass (SLM). One hundred and seventeen young healthy Caucasians (67 men and 50 women; mean age: 31.9 ± 10.0 years; Body Mass Index: 24.3 ± 3.2 kg · m(-2)) were included. Body mass (BM), stretch stature (SS), 14 circumferences (CC), 13 skinfolds (SF) and 4 bone breadths (BB) were used as anthropometric measurements. Segmental lean mass of both arms, trunk and both legs were measured by dual energy X-ray absorptiometry as the criterion method. Three prediction equations for SLM were developed as follows: arms = 40.394(BM) + 169.836(CCarm-tensed) + 399.162(CCwrist) - 85.414(SFtriceps) - 39.790(SFbiceps) - 7289.190, where Adj.R (2) = 0.97, P < 0.001, and standard error of estimate (SEE) = 355 g;trunk = 181.530(BM) + 155.037(SS) + 534.818(CCneck) + 175.638(CCchest) - 88.359(SFchest) - 147.232(SFsupraspinale) - 46522.165, where Adj.R(2) = 0.97, P < 0.001, and SEE = 1077g; and legs = 55.838(BM) + 88.356(SS) + 235.579(CCmid-thigh) + 278.595(CCcalf) + 288.984(CCankle) - 84.954(SFfront-thigh) - 53.009(SFmedial calf) - 28522.241, where Adj.R (2) = 0.96, P < 0.001, and SEE = 724 g. Cross-validation statistics showed no significant differences (P < 0.05) between observed and predicted SLM. Root mean squared errors were smallest for arms (362 g), followed by legs (820 g) and trunk (1477 g). These new prediction equations allow an accurate estimation of segmental lean mass in groups of young adults, but estimation errors of 8 to 14% can occur in certain individuals.  相似文献   

Evaluation of thetrackstick super GPS tracker for use in walking research     

McMinn D  Rowe DA  Cuk I 《Research quarterly for exercise and sport》2012,83(1):108-113

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Therapeutic drug monitoring and laboratory medicine
Mike Hallworth and Ian Watson. Ed. By Karen Poyser and Roy Sherwood. ACB Venture Publications 2008. 218 pp. ISBN 978 - 0- 902429 - 42 - 0. Price ￡30.00. Available from the Association of Clinical Biochemists, 1300-132 Tooley St., London SE1 2TU     

Joseph Lopez 《Indian journal of clinical biochemistry : IJCB》2009,24(1):108

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Interdisciplinarity in school education in the U.S.S.R.     

Professor Ivan Dmitriyevich Zverev 《Prospects》1975,5(4):445-455

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Within-Document Retrieval: A User-Centred Evaluation of Relevance Profiling     

David J. Harper  Ivan Koychev  Yixing Sun  Iain Pirie 《Information Retrieval》2004,7(3-4):265-290

We present a user-centred, task-oriented, comparative evaluation of two within-document retrieval tools. ProfileSkim computes a relevance profile for a document with respect to a query, and presents the profile as an interactive bar graph. FindSkim provides similar functionality to the web browser “Find” command. A novel simulated work task was devised, where participants are asked to identify (index) relevant pages of an electronic book, given topics from the existing book index. The original book index provides the ground truth, against which the indexing results of the participants can be compared. We confirmed a major hypothesis, namely ProfileSkim proved significantly more efficient than Find-Skim, as measured by time for task. The study indicates that ProfileSkim was as least as effective as FindSkim in identifying relevant pages, as measured by traditional information retrieval measures, and there is some evidence that ProfileSkim is a precision-enhancing tool. Based on qualitative data from questionnaires, we also provide strong evidence to support our conjecture that the participants would be more satisfied when using ProfileSkim than FindSkim. The experimental study confirmed the potential of relevance profiling for improving within-document retrieval. Relevance profiling should prove highly beneficial for users trying to identify relevant information within long documents.  相似文献   

Guest Editorial     

Ivan Gibson 《European Journal of Engineering Education》2002,27(1):1-3

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