359 research outputs found
Supplemental material for The Comparation of Intraperitoneal Injection and Nasal-only Delivery Allergic Rhinitis Model Challenged With Different Allergen Concentration
No full textSupplemental Material for The Comparation of Intraperitoneal Injection and Nasal-only Delivery Allergic Rhinitis Model Challenged With Different Allergen Concentration by Ying Wang, Yue Zhou, Yun Zhu, Wenting Yu, Jinghui Wang, Junmei Fu, Yang Yuan, Zizhong Yu, Shan Chen, Yanjun Wang, Jianjun Chen and Weijia Kong in American Journal of Rhinology & Allergy</p
Exchanging faces: Dubbing foreign films in China, 1949-1994
No full textMy dissertation examines dubbed foreign films, which were the Chinese people’s “window to the outside world” during the Cold War era. Between 1949 and 1994, when Hollywood’s path to China was blocked by Cold War politics, the Chinese Communist Party dubbed and screened over one thousand films from the Soviet bloc, Western Europe, and beyond. These foreign films made up close to one half of all films screened in China and were more popular and profitable than domestic Chinese films. Despite their immense popularity and lasting impact, no comprehensive study on these films has emerged. I argue that dubbed foreign films disrupt the familiar narratives of Chinese cultural history, by showing that the Chinese Communist Party (CCP) never achieved full control over its cinema, and its ideological indoctrination was always confined by its technology.
I use government documents, film companies’ internal publications, and audience memoirs to construct a history of the PRC’s foreign film import and exhibition. I demonstrate that the CCP used foreign films to fulfill three functions: as ideological textbooks, as diplomatic tokens, and as program fillers and revenue earners to supplement China’s meager domestic film output. Much as the CCP wished to regulate the content of foreign films, pragmatic concerns such as diplomatic relationships and the demands of the film exhibition industry compelled them to screen foreign films that were not up to their ideological standards. As a result, foreign films were relatively free from the notoriously severe censorship imposed on domestic films. At times, dubbed films could even betray their propagandist purpose and constitute a legitimate space of mild dissent against mainstream aesthetics and ideology.
I also examine the impact that decades of foreign film dubbing as opposed to subtitling had on the Chinese audience. The Chinese dubbing practice, with its emphasis on synchrony or “matching voices,” carried with itself an ideology that unwittingly subverted the CCP’s nationalism and authoritarianism. Dubbing obscured the boundary between the Chinese and the foreign. The foreign body and milieu, socialist or capitalist, acquired a degree of immediacy and Chinese identity through the accompanying Chinese voice. The Chinese voice, bent by the imperative to adhere to the foreign lips and body, acquired a “foreign accent” as it departed in unobtrusive yet substantial ways from the linguistic and vocal norms of the time. In short, instead of simply grafting a Chinese voice onto a foreign figure, dubbing turned the foreign figure Chinese and the Chinese voice foreign. Furthermore, the dubbing voice was subversive not only because it had a foreign accent, but also because its mission – to become one with the body on the screen – made it unsuitable as a mouthpiece of the CCP and distinguished it from mainstream voices that were dedicated to single-minded propaganda.
In sum, my dissertation demonstrates how dubbed foreign films that were imported, dubbed, and exhibited by the CCP subverted the party’s own ideology due to stubborn, pragmatic circumstances. Revising Xiaomei Chen’s theory that emphasizes “counter-discourse” and the binary between official and unofficial Occidentalism, my research reveals that subversion occurred inadvertently and from within the system.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-05-01The student, Weijia Du, accepted the attached license on 2018-02-23 at 20:34.The student, Weijia Du, submitted this Dissertation for approval on 2018-02-23 at 20:41.This Dissertation was approved for publication on 2018-03-05 at 09:12.DSpace SAF Submission Ingestion Package generated from Vireo submission #12048 on 2018-08-31 at 17:17:13Made available in DSpace on 2018-09-04T20:33:49Z (GMT). No. of bitstreams: 2
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Previous issue date: 2018-03-05Embargo set by: Seth Robbins for item 107201
Lift date: 2020-09-04T20:34:13Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 107201
Lift date: 2020-09-04T20:37:00Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 107201
Lift date: 2020-09-04T20:42:08Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 107201 on 2020-09-05T09:15:32Z
Bmi1 expression pattern and its role in 5-Fu resistance in breast cancer cells.
No full text<p>(A) mRNA (up) and protein (down) expression levels of Bmi1 in selected breast cancer cells; (B) Dose-survival index curves (up) were plotted from MTS assay results from three independent experiments and IC50 values (down) for 5-Fu were calculated in selected cell lines with differentail expression of Bmi1, vs MCF-7, * p<0.05, ** p<0.01; (C) MDA-MB-231 cell line was selected for verifying the knockdown efficiancey of Bmi1 specific shRNAs; (D) Dose-survival index curves (left) were plotted from MTS assay results from three independent experiments and IC50 values (right) for 5-Fu were calculated in ectopic Bmi1 overexpressed or Bmi1 knockdown cell lines, vs control, * p<0.05; (E) FACS analysis of cell-surface marker CD44 and CD24 in cell lines to indicate the breast cancer stem cell subpopulation.</p
Statistical Issues in Microbiome Data Analysis: Batch Effects and Multi-Omics Analysis
No full textThesis (Master's)--University of Washington, 2019Progress in high throughput sequencing has facilitated the conduct of large scale microbiome profiling studies which have already begun to elucidate the role of microbes in many disorders and clinical outcomes. Despite the many successes, statistical analysis of data from these studies continues to pose a challenge. In the thesis, we proposed methods to study two specific challenges: batch effects and integrative analysis of microbiome and other omics data. Both issues are increasingly relevant problems. As studies get larger, batching becomes inevitable and integrative analysis is imperative for gaining clues as to the mechanisms underlying discovered associations. The thesis is composed of two projects. In the first project, we compared six existing batch correction methods for microarray data when applied to microbiome data. Two real microbiome data sets were used to evaluate the performance using data visualization and several evaluation metrics. Our results suggest that an empirical bayes approach (ComBat), when applied appropriately, can outperform other methods. In the second project, we proposed a robust microbiome regression-based kernel association test (MiRKAT-R) to screen a large number of genomic markers for association with microbiome profiles. This approach utilizes a recently developed robust kernel machine test. We further propose to incorporate an omnibus test that simultaneously considers different models so as to allow for different relationships between the individual markers and microbiome composition. Systematic simulations and applications to real data show that the MiRKAT-R improves both type I error control and power
Nat Genet
No full textRetrotransposons are one type of mobile genetic element that abundantly reside in the genomes of nearly all animals. Their uncontrolled activation is linked to sterility, cancer and other pathologies, thereby being largely considered detrimental. Here we report that, within a specific time window of development, retrotransposon activation can license the host's immune system for future antiviral responses. We found that the mdg4 (also known as Gypsy) retrotransposon selectively becomes active during metamorphosis at the Drosophila pupal stage. At this stage, mdg4 activation educates the host's innate immune system by inducing the systemic antiviral function of the nuclear factor-\u3baB protein Relish in a dSTING-dependent manner. Consequently, adult flies with mdg4, Relish or dSTING silenced at the pupal stage are unable to clear exogenous viruses and succumb to viral infection. Altogether, our data reveal that hosts can establish a protective antiviral response that endows a long-term benefit in pathogen warfare due to the developmental activation of mobile genetic elements.DP5 OD021355/OD/NIH HHSUnited States/R01 GM141018/GM/NIGMS NIH HHSUnited States/R01 GM141018/GM/NIGMS NIH HHSUnited States/DP5 OD021355/CD/ODCDC CDC HHSUnited States
The children from low income family can receive high quality education 穷孩子也能接受高品质教育
No full textFirst author draf
14-3-3σ regulation by p53 mediates a chemotherapy response to 5-fluorouracil in MCF-7 breast cancer cells via Akt inactivation
No full textAbstractWe previously demonstrated that 14-3-3σ was downregulated in 5-fluorouracil (5-Fu)-resistant MCF-7 breast cancer cells (MCF-7/5-Fu). Here, we found that stably enhanced 14-3-3σ expression strengthened the effects of 5-Fu, Mitoxantrone and cDDP. 14-3-3σ stabilised the p53 protein and bound Akt to inhibit its activity and its downstream targets: survivin, Bcl-2 and NF-κB-p50. In addition, decreased p53 expression, but not promoter hypermethylation, was responsible for the downregulation of 14-3-3σ in MCF-7/5-Fu cells. Meanwhile, initial treatments with high concentrations of 5-Fu clearly induced 14-3-3σ and p53 expression in a time-dependent manner. 14-3-3σ-mediated molecular events that synergise with p53 may play important roles in the chemotherapy of breast cancer
TU Delft Archive: Spaces of Collection, Urban Institution
No full textThe graduation studio ‘Spaces of Collection’ seeks to explore the relationship an institution has with the host city. The central question in research during the process is how to make the university’s physical return by a building with ‘spaces of collection’ for the accommodation and display of artifacts in various university collections. The design proposal could be seen as a treasure box of collections with its urban context.Architecture, Urbanism and Building Sciences | Interiors Buildings Citie
DeepHMap plus plus : Combined Projection Grouping and Correspondence Learning for Full DoF Pose Estimation
No full textIn recent years, estimating the 6D pose of object instances with convolutional neural network (CNN) has received considerable attention. Depending on whether intermediate cues are used, the relevant literature can be roughly divided into two broad categories: direct methods and two-stage pipelines. For the latter, intermediate cues, such as 3D object coordinates, semantic keypoints, or virtual control points instead of pose parameters are regressed by CNN in the first stage. Object pose can then be solved by correspondence constraints constructed with these intermediate cues. In this paper, we focus on the postprocessing of a two-stage pipeline and propose to combine two learning concepts for estimating object pose under challenging scenes: projection grouping on one side, and correspondence learning on the other. We firstly employ a local-patch based method to predict projection heatmaps which denote the confidence distribution of projection of 3D bounding box's corners. A projection grouping module is then proposed to remove redundant local maxima from each layer of heatmaps. Instead of directly feeding 2D-3D correspondences to the perspective-n-point (PnP) algorithm, multiple correspondence hypotheses are sampled from local maxima and its corresponding neighborhood and ranked by a correspondence-evaluation network. Finally, correspondences with higher confidence are selected to determine object pose. Extensive experiments on three public datasets demonstrate that the proposed framework outperforms several state of the art methods
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