196 research outputs found
A bilingual exit : introducing and evaluating partial English medium of instruction in a Hong Kong secondary school
Self-Supervised Intensity-Event Stereo Matching
Event cameras are novel bio-inspired vision sensors that output pixel-level
intensity changes in microsecond accuracy with a high dynamic range and low
power consumption. Despite these advantages, event cameras cannot be directly
applied to computational imaging tasks due to the inability to obtain
high-quality intensity and events simultaneously. This paper aims to connect a
standalone event camera and a modern intensity camera so that the applications
can take advantage of both two sensors. We establish this connection through a
multi-modal stereo matching task. We first convert events to a reconstructed
image and extend the existing stereo networks to this multi-modality condition.
We propose a self-supervised method to train the multi-modal stereo network
without using ground truth disparity data. The structure loss calculated on
image gradients is used to enable self-supervised learning on such multi-modal
data. Exploiting the internal stereo constraint between views with different
modalities, we introduce general stereo loss functions, including disparity
cross-consistency loss and internal disparity loss, leading to improved
performance and robustness compared to existing approaches. The experiments
demonstrate the effectiveness of the proposed method, especially the proposed
general stereo loss functions, on both synthetic and real datasets. At last, we
shed light on employing the aligned events and intensity images in downstream
tasks, e.g., video interpolation application.Comment: This paper has been accepted by the Journal of Imaging Science &
Technolog
The photometric observation of the quasi-simultaneous mutual eclipse and occultation between Europa and Ganymede on 22 August 2021
Mutual events (MEs) are eclipses and occultations among planetary natural
satellites. Most of the time, eclipses and occultations occur separately.
However, the same satellite pair will exhibit an eclipse and an occultation
quasi-simultaneously under particular orbital configurations. This kind of rare
event is termed as a quasi-simultaneous mutual event (QSME). During the 2021
campaign of mutual events of jovian satellites, we observed a QSME between
Europa and Ganymede. The present study aims to describe and study the event in
detail. We observed the QSME with a CCD camera attached to a 300-mm telescope
at the Hong Kong Space Museum Sai Kung iObservatory. We obtained the combined
flux of Europa and Ganymede from aperture photometry. A geometric model was
developed to explain the light curve observed. Our results are compared with
theoretical predictions (O-C). We found that our simple geometric model can
explain the QSME fairly accurately, and the QSME light curve is a superposition
of the light curves of an eclipse and an occultation. Notably, the observed
flux drops are within 2.6% of the theoretical predictions. The size of the
event central time O-Cs ranges from -14.4 to 43.2 s. Both O-Cs of flux drop and
timing are comparable to other studies adopting more complicated models. Given
the event rarity, model simplicity and accuracy, we encourage more observations
and analysis on QSMEs to improve Solar System ephemerides.Comment: 23 pages, 5 appendixes, 16 figures, 7 table
Comparison of Gene Expression Profiles in Chromate Transformed BEAS-2B Cells
Hexavalent chromium [Cr(VI)] is a potent human carcinogen.
Occupational exposure has been associated with increased risk of respiratory
cancer. Multiple mechanisms have been shown to contribute to Cr(VI) induced
carcinogenesis, including DNA damage, genomic instability, and epigenetic
modulation, however, the molecular mechanism and downstream genes mediating
chromium's carcinogenicity remain to be elucidated.We established chromate transformed cell lines by chronic exposure of normal
human bronchial epithelial BEAS-2B cells to low doses of Cr(VI) followed by
anchorage-independent growth. These transformed cell lines not only
exhibited consistent morphological changes but also acquired altered and
distinct gene expression patterns compared with normal BEAS-2B cells and
control cell lines (untreated) that arose spontaneously in soft agar.
Interestingly, the gene expression profiles of six Cr(VI) transformed cell
lines were remarkably similar to each other yet differed significantly from
that of either control cell lines or normal BEAS-2B cells. A total of 409
differentially expressed genes were identified in Cr(VI) transformed cells
compared to control cells. Genes related to cell-to-cell junction were
upregulated in all Cr(VI) transformed cells, while genes associated with the
interaction between cells and their extracellular matrices were
down-regulated. Additionally, expression of genes involved in cell
proliferation and apoptosis were also changed.This study is the first to report gene expression profiling of Cr(VI)
transformed cells. The gene expression changes across individual chromate
exposed clones were remarkably similar to each other but differed
significantly from the gene expression found in anchorage-independent clones
that arose spontaneously. Our analysis identified many novel gene expression
changes that may contribute to chromate induced cell transformation, and
collectively this type of information will provide a better understanding of
the mechanism underlying chromate carcinogenicity
Prognostic values of EORTC QLQ-C30 and QLQ-HCC18 index-scores in patients with hepatocellular carcinoma – clinical application of health-related quality-of-life data
Signaling pathway networks mined from human pituitary adenoma proteomics data
Abstract Background We obtained a series of pituitary adenoma proteomic expression data, including protein-mapping data (111 proteins), comparative proteomic data (56 differentially expressed proteins), and nitroproteomic data (17 nitroproteins). There is a pressing need to clarify the significant signaling pathway networks that derive from those proteins in order to clarify and to better understand the molecular basis of pituitary adenoma pathogenesis and to discover biomarkers. Here, we describe the significant signaling pathway networks that were mined from human pituitary adenoma proteomic data with the Ingenuity pathway analysis system. Methods The Ingenuity pathway analysis system was used to analyze signal pathway networks and canonical pathways from protein-mapping data, comparative proteomic data, adenoma nitroproteomic data, and control nitroproteomic data. A Fisher's exact test was used to test the statistical significance with a significance level of 0.05. Statistical significant results were rationalized within the pituitary adenoma biological system with literature-based bioinformatics analyses. Results For the protein-mapping data, the top pathway networks were related to cancer, cell death, and lipid metabolism; the top canonical toxicity pathways included acute-phase response, oxidative-stress response, oxidative stress, and cell-cycle G2/M transition regulation. For the comparative proteomic data, top pathway networks were related to cancer, endocrine system development and function, and lipid metabolism; the top canonical toxicity pathways included mitochondrial dysfunction, oxidative phosphorylation, oxidative-stress response, and ERK/MAPK signaling. The nitroproteomic data from a pituitary adenoma were related to cancer, cell death, lipid metabolism, and reproductive system disease, and the top canonical toxicity pathways mainly related to p38 MAPK signaling and cell-cycle G2/M transition regulation. Nitroproteins from a pituitary control related to gene expression and cellular development, and no canonical toxicity pathways were identified. Conclusions This pathway network analysis demonstrated that mitochondrial dysfunction, oxidative stress, cell-cycle dysregulation, and the MAPK-signaling abnormality are significantly associated with a pituitary adenoma. These pathway-network data provide new insights into the molecular mechanisms of human pituitary adenoma pathogenesis, and new clues for an in-depth investigation of pituitary adenoma and biomarker discovery.</p
Emerging roles of ATF2 and the dynamic AP1 network in cancer
Cooperation among transcription factors is central for their ability to execute specific transcriptional programmes. The AP1 complex exemplifies a network of transcription factors that function in unison under normal circumstances and during the course of tumour development and progression. This Perspective summarizes our current understanding of the changes in members of the AP1 complex and the role of ATF2 as part of this complex in tumorigenesis.Fil: Lopez Bergami, Pablo Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental (i); Argentina; ArgentinaFil: Lau, Eric . Burnham Institute for Medical Research; Estados UnidosFil: Ronai, Zeev . Burnham Institute for Medical Research; Estados Unido
Search for large missing transverse momentum in association with one top-quark in proton-proton collisions at √s = 13 TeV with the ATLAS detector
This paper describes a search for events with one top-quark and large missing transverse momentum in the final state. Data collected during 2015 and 2016 by the ATLAS experiment from 13 TeV proton–proton collisions at the LHC corresponding to an integrated luminosity of 36.1 fb−1 are used. Two channels are considered, depending on the leptonic or the hadronic decays of the W boson from the top quark. The obtained results are interpreted in the context of simplified models for dark-matter production and for the single production of a vector-like T quark. In the absence of significant deviations from the Standard Model background expectation, 95% confidence-level upper limits on the corresponding production cross-sections are obtained and these limits are translated into constraints on the parameter space of the models considered
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