333 research outputs found
MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance
This study introduces an efficient and effective method, MeDM, that utilizes
pre-trained image Diffusion Models for video-to-video translation with
consistent temporal flow. The proposed framework can render videos from scene
position information, such as a normal G-buffer, or perform text-guided editing
on videos captured in real-world scenarios. We employ explicit optical flows to
construct a practical coding that enforces physical constraints on generated
frames and mediates independent frame-wise scores. By leveraging this coding,
maintaining temporal consistency in the generated videos can be framed as an
optimization problem with a closed-form solution. To ensure compatibility with
Stable Diffusion, we also suggest a workaround for modifying observed-space
scores in latent-space Diffusion Models. Notably, MeDM does not require
fine-tuning or test-time optimization of the Diffusion Models. Through
extensive qualitative, quantitative, and subjective experiments on various
benchmarks, the study demonstrates the effectiveness and superiority of the
proposed approach
Barriers to implementing green management in the hospitality industry
© Copyright 2017 by Emerald Publishing Limited All rights of reproduction in any form reserved. Using the Analytical Hierarchy Process, this study aims to identify organizational and market factors that prevent hoteliers from adopting greener management systems. This study first constructs a list of critical factors based on expert judgments reported in the literature and the responses from a select group of experienced managers. Then, the list is further refined by six hotel managers who consolidate the factors, which results in four categories explained by 20 items. Subsequently, this study draws from surveys on an expert panel consisting of 20 study subjects who are familiar with hotel operations. The survey results show that hoteliers\u27 abilities to create a greener image are the most important factor influencing the managers\u27 decisions to adopt environmentally friendly management schemes. Nevertheless, their motivation of adopting a green strategy seems to be associated with a marketing strategy, instead of generic environmental stewardship
Insight-HXMT Measurements of the Diffuse X-ray Background
We present an X-ray spectrum of the diffuse X-ray background (DXRB) between
1.5 and 120 keV, as measured with the Low-Energy Detector (LE) and the
High-Energy Detector (HE) aboard the Insight-HXMT satellite, based on
'blank-sky' observations. LE covers a nominal energy range of 1-15 keV and HE
20-250 keV, but calibration issues and data quality narrowed the energy range
for this work. The LE background was directly measured with `blind' detector
modules, while the HE background was derived from Earth-occultation data. With
the LE data alone, the measured DXRB spectrum can be well described by a power
law; fitting the LE and HE data jointly, however, a spectral cut-off must be
introduced in the model to account for the measurements above 30 keV. Modelling
the combined spectrum with a cut-off power law, the best-fit photon index is
1.40, normalisation ~ (at 1
keV), and cut-off energy 55 keV, after correcting for the effects of the Earth
albedo and atmospheric emission (which are significant in the HE band). Based
on the best-fit cut-off power law, we derived the spectral energy distribution
(SED) of the DXRB. The shape of the SED is in general agreement with the
published measurements, but the overall normalization is lower by varying
amounts, except for the HEAO-1 result, with which our result is in good
agreement.Comment: 9 pages, 14 figures, published in MNRA
Systems-Mapping of Herbal Effects on Complex Diseases Using the Network-Perturbation Signatures
The herbs have proven to hold great potential to improve people's health and wellness during clinical practice over the past millennia. However, herbal medicine for the personalized treatment of disease is still under investigation owing to the complex multi-component interactions in herbs. To reveal the valuable insights for herbal synergistic therapy, we have chosen Traditional Chinese Medicine (TCM) as a case to illustrate the art and science behind the complicated multi-molecular, multi-genes interaction systems, and how the good practices of herbal combination therapy are applicable to personalized treatment. Here, we design system-wide interaction map strategy to provide a generic solution to establish the links between diseases and herbs based on comprehensive testing of molecular signatures in herb-disease pairs. Firstly, we integrated gene expression profiles from 189 diseases to characterize the disease-pathological feature. Then, we generated the perturbation signatures from the huge chemical informatics data and pharmacological data for each herb, which were represented the targets affected by the ingredients in the herb. So that we could assess the effects of herbs on the individual. Finally, we integrated the data of 189 diseases and 502 herbs, yielding the optimal herbal combinations for the diseases based on the strategy, and verifying the reliability of the strategy through the permutation testing and literature verification. Furthermore, we propose a novel formula as a candidate therapeutic drugs of rheumatoid arthritis and demonstrate its therapeutic mechanism through the systematic analysis of the influencing targets and biological processes. Overall, this computational method provides a systematic approach, which blended herbal medicine and omics data sets, allowing for the development of novel drug combinations for complex human diseases
A simulation study on the measurement of D0-D0bar mixing parameter y at BES-III
We established a method on measuring the \dzdzb mixing parameter for
BESIII experiment at the BEPCII collider. In this method, the doubly
tagged events, with one decays to
CP-eigenstates and the other decays semileptonically, are used to
reconstruct the signals. Since this analysis requires good separation,
a likelihood approach, which combines the , time of flight and the
electromagnetic shower detectors information, is used for particle
identification. We estimate the sensitivity of the measurement of to be
0.007 based on a fully simulated MC sample.Comment: 6 pages, 7 figure
- …