63,304 research outputs found
Análisis de la estética dental anterior y procedimiento clínico del diseño de la sonrisa
No full textDong , Ya Weng Nathali; director de proyecto: Vayá Fernández-Ladreda, Alberto2022-2023Grado en OdontologíaFacultad de Odontologí
Traces and shards of self-injury: Strange accounting with “Author X”
No full textIn this strange account autoethnography, three or four authors explore their lived experiences with self-injury. Strange accounting is both a post-modern style of text, and a method for keeping identities concealed when risks and secrets are in play. Author X, a post-modern place-keeper for an anonymous author who may or may not have contributed to this manuscript, introduces a new dimension and layer of concealment. With Author X in-play and under erasure, the reader will never be sure if there were three or four authors on this manuscript. Through strange accounting, a post-structuralist/postmodernist frame will be applied to understanding the self-injury experience. We frame self-injury as a social practice and, for some, an everyday norm, while remaining acutely aware of the stigma surrounding the topic of self-injury. Each of us, coupled with Author X, provide the others cover to trace stories of self-injury through the literature, our flesh, and our lives
A 2 h periodic variation in the low-mass X-ray binary Ser X-1
No full textSpectroscopy of the low-mass X-ray binary Ser X-1 using the Gran Telescopio Canarias have revealed a ?2 h periodic variability that is present in the three strongest emission lines. We tentatively interpret this variability as due to orbital motion, making it the first indication of the orbital period of Ser X-1. Together with the fact that the emission lines are remarkably narrow, but still resolved, we show that a main-sequence K dwarf together with a canonical 1.4 M? neutron star gives a good description of the system. In this scenario, the most likely place for the emission lines to arise is the accretion disc, instead of a localized region in the binary (such as the irradiated surface or the stream-impact point), and their narrowness is due instead to the low inclination (?10°) of Ser X-1
Assessing the Role of VISTA in Vascular Cognitive Impairment: Addressing Limitations and Exploring Future Research Directions [Letter]
No full textLingtian Weng,1 Xuhong Jiang1,2 1The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People’s Republic of China; 2Development Planning Department, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People’s Republic of ChinaCorrespondence: Xuhong Jiang, Zhejiang Chinese Medical University, Binwen Road No. 584, Hangzhou, Zhejiang, People’s Republic of China, Tel +8615988890828, Email [email protected]
Practical aspects of modelling parameter uncertainty for risk capital calculation
No full text“This is a post-peer-review, pre-copyedit version of an article published in Zeitschrift fur die gesamte Versicherungswissenschaft. The final authenticated version is available online at: http://dx.doi.org/10.1007/s12297-019-00428-xWe assume that an insurance undertaking models its risk by a random variable X=X(¿0) with a fixed parameter (vector) ¿0. If the undertaking does not know ¿0 and can only estimate it from historical data, it faces parameter uncertainty. Neglecting parameter uncertainty can lead to an underestimation of the true risk capital requirement (see e.g. Gerrard and Tsanakas 2011; Fröhlich and Weng 2015). In this contribution we address some practical questions. To illustrate the relevance of the parameter risk we determine the probability of solvency for a risk capital model not taking parameter uncertainty into account for different distributions and samples sizes. We then follow the “inversion method” introduced in Fröhlich and Weng (2015) known to model an appropriate risk capital requirement respecting parameter uncertainty for a wide class of distributions and common estimation methods. We extend the idea to distribution families and estimation methods that have not been considered so far in this context but are frequently used to model the losses of an insurance undertakingPeer ReviewedPostprint (author's final draft
Bethe-Salpeter equation for doubly heavy baryons in the covariant instantaneous approximation
No full textIn the heavy quark limit, a doubly heavy baryon is regarded as composed of a heavy diquark and a light quark. We establish the Bethe-Salpeter equations for the heavy diquarks and the doubly heavy baryons, respectively, to leading order in a 1/mQ expansion. The Bethe-Salpeter equations are solved numerically under the covariant instantaneous approximation with the kernels containing scalar confinement and one-gluon-exchange terms. The masses for the heavy diquarks and the doubly heavy baryons are obtained, and the nonleptonic decay widths for the doubly heavy baryons emitting a pseudoscalar meson are calculated within the model.M.-H. Weng, X.-H. Guo, and A.W. Thoma
Co-reductive fabrication of carbon nanodots with high quantum yield for bioimaging of bacteria
No full textA simple and straightforward synthetic approach for carbon nanodots (C-dots) is proposed. The strategy is based on a one-step hydrothermal chemical reduction with thiourea and urea, leading to high quantum yield C-dots. The obtained C-dots are welldispersed with a uniform size and a graphite-like structure. A synergistic reduction mechanism was investigated using Fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy. The findings show that using both thiourea and urea during the one-pot synthesis enhances the luminescence of the generated C-dots. Moreover, the prepared C-dots have a high distribution of functional groups on their surface. In this work, C-dots proved to be a suitable nanomaterial for imaging of bacteria and exhibit potential for application in bioimaging thanks to their low cytotoxicity
Su mi zhai Lanting kao: [8 juan].
No full text翁方綱撰 ; [伍崇曜輯]Date from preface.框13.1 x 9.1 cm., 9行21字, 黑口, 左右雙邊, 無魚尾, 版心中鐫分冊書名, 下鐫叢書名.與下列同本: 通志堂經解目錄 / 翁方綱撰.Weng Fanggang zhuan ; [Wu Chongyao ji]Yu xia lie tong ben: Tong zhi tang jing jie mu lu / Weng Fanggang zhuan.Kuang 13.1 x 9.1 cm., 9 xing 21 zi, hei kou, zuo you shuang bian, wu yu wei, ban xin zhong juan fen ce shu ming, xia juan cong shu ming
Identifying climate-ready plant for urban environment: Integrating machine learning with traditional plant selection tools
No full textClimate change has intensified the urban heat island effect and increased extreme weather conditions, posing risks to public health and urban vegetation. To address these challenges, selecting climate-ready urban plant species is crucial. Traditional climate niche-based methods often fall short in urban contexts due to neglecting anthropogenic factors. Our study addresses this research gap by introducing an innovative urban plant selection method that integrates vulnerability metrics, expert consensus, and plant introduction records through machine learning. We identified eight climatic variables essential for the survival of urban plants in Beijing, China, and established safety margins for eight climate variables of 1070 urban plant species across two periods: the baseline (1981–2010) and the future (2041–2070). Based on existing assessment data, expert consensus and plant introduction records, 247 plant species were classified into three levels of adaptability: backbone (highly adaptable, prevalent in Beijing), general (moderately adaptable, requiring specific care), and maladapted (poorly adaptable). Subsequently, we investigated the dynamic relationship between safety margins for eight climate variables across two time periods and the adaptability levels of plants by constructing an optimal machine learning model to predict urban plant adaptability levels, enhancing its accuracy through model comparisons and hyperparameter tuning. Our findings indicate that nearly half (49.0 %) of the plant species in Beijing may face reduced adaptability to future climate conditions. However, a majority (75.9 %) perform well under baseline climate conditions and are expected to adapt to future climate conditions. The results reaffirm that the species can grow well out of the niche limit, suggesting that the traditional climate niche-based method may be limited in urban contexts. Our approach overcomes the limitations of binary classification of traditional niche-based methods and the neglect of anthropogenic factors by incorporating an urban plant adaptability classification schema and ground truth derived from expert consensus and records of plant introductions through machine learning methods. This study provides a method for selecting climate-ready plant species for urban environments and supports evidence-based urban forestry management amidst climate change
Support of wind resource modeling using Earth observation – a European perspective on the status and future options
No full textThis contribution outlines the potential of remote sensing data to support wind resource modelling especially through improved input parameterization regarding the state and characterization of the land surface. Wind speed and wind flow is strongly influenced by land surface properties. Three different remote sensing based parameters can help to characterize wind resources: a) land cover and land use; b) digital elevation models (DEM); c) phenological information. Earth observation data are used already in wind resource models to some extent. However, the new advances and especially the possibilities which open up through the Copernicus Sentinel satellites are not considered yet. Opportunities include seasonal mapping of land cover which will allow a precise quantification of vegetation cover which has a direct influence on heat fluxes. The use of newest DEMs like Tandem-X with a 12 m resolution allows detecting also small landscape feature like rows of hedges and trees. Further, elevation models derived by either photogrammetric approaches or airborne laser scanning can further refine the information. By using EO-based information on the surface, e.g. roughness, and in-situ wind measurements, realistic wind fields for sufficiently large areas can be derived by considering also shadowing effects and wind shear
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