4,066 research outputs found
THE STUDY ON THE CRISIS MANAGEMENT PRACTICE OF TRAVEL AGENCIES DURING THE PERIOD OF COVID-19 PANDEMIC
The main purpose of this paper is to study the impact of travel agencies' crisis management practices on willingness of employee retention and business operations during the COVID-19 outbreak. The results of the study found that there are significant differences in the different statistical variables on crisis management practice and the effect of crisis management practice. Secondly, crisis management practices have a positive impact on employees' willingness to stay. Third, crisis management practices have a positive impact on business operations. Fourth, the talent management, labor force and cost control included in the crisis management practice have a positive impact on willingness of employee retention and business operation
Assessment of gene-covariate interactions by incorporating covariates into association mapping
The HLA region is considered to be the main genetic risk factor for rheumatoid arthritis. Previous research demonstrated that HLA-DRB1 alleles encoding the shared epitope are specific for disease that is characterized by antibodies to cyclic citrullinated peptides (anti-CCP). In the present study, we incorporated the shared epitope and either anti-CCP antibodies or rheumatoid factor into linkage disequilibrium mapping, to assess the association between the shared epitope or antibodies with the disease gene identified. Incorporating the covariates into the association mapping provides a mechanism 1) to evaluate gene-gene and gene-environment interactions and 2) to dissect the pathways underlying disease induction/progress in quantitative antibodies
Transformer-based Image Compression with Variable Image Quality Objectives
This paper presents a Transformer-based image compression system that allows
for a variable image quality objective according to the user's preference.
Optimizing a learned codec for different quality objectives leads to
reconstructed images with varying visual characteristics. Our method provides
the user with the flexibility to choose a trade-off between two image quality
objectives using a single, shared model. Motivated by the success of
prompt-tuning techniques, we introduce prompt tokens to condition our
Transformer-based autoencoder. These prompt tokens are generated adaptively
based on the user's preference and input image through learning a prompt
generation network. Extensive experiments on commonly used quality metrics
demonstrate the effectiveness of our method in adapting the encoding and/or
decoding processes to a variable quality objective. While offering the
additional flexibility, our proposed method performs comparably to the
single-objective methods in terms of rate-distortion performance
Transformer-based Variable-rate Image Compression with Region-of-interest Control
This paper proposes a transformer-based learned image compression system. It
is capable of achieving variable-rate compression with a single model while
supporting the region-of-interest (ROI) functionality. Inspired by prompt
tuning, we introduce prompt generation networks to condition the
transformer-based autoencoder of compression. Our prompt generation networks
generate content-adaptive tokens according to the input image, an ROI mask, and
a rate parameter. The separation of the ROI mask and the rate parameter allows
an intuitive way to achieve variable-rate and ROI coding simultaneously.
Extensive experiments validate the effectiveness of our proposed method and
confirm its superiority over the other competing methods.Comment: Accepted to IEEE ICIP 202
TransTIC: Transferring Transformer-based Image Compression from Human Visualization to Machine Perception
This work aims for transferring a Transformer-based image compression codec
from human vision to machine perception without fine-tuning the codec. We
propose a transferable Transformer-based image compression framework, termed
TransTIC. Inspired by visual prompt tuning, we propose an instance-specific
prompt generator to inject instance-specific prompts to the encoder and
task-specific prompts to the decoder. Extensive experiments show that our
proposed method is capable of transferring the codec to various machine tasks
and outshining the competing methods significantly. To our best knowledge, this
work is the first attempt to utilize prompting on the low-level image
compression task
Magnon-induced non-Markovian friction of a domain wall in a ferromagnet
Motivated by the recent study on the quasiparticle-induced friction of
solitons in superfluids, we theoretically study magnon-induced intrinsic
friction of a domain wall in a one-dimensional ferromagnet. To this end, we
start by obtaining the hitherto overlooked dissipative interaction of a domain
wall and its quantum magnon bath to linear order in the domain-wall velocity
and to quadratic order in magnon fields. An exact expression for the pertinent
scattering matrix is obtained with the aid of supersymmetric quantum mechanics.
We then derive the magnon-induced frictional force on a domain wall in two
different frameworks: time-dependent perturbation theory in quantum mechanics
and the Keldysh formalism, which yield identical results. The latter, in
particular, allows us to verify the fluctuation-dissipation theorem explicitly
by providing both the frictional force and the correlator of the associated
stochastic Langevin force. The potential for magnons induced by a domain wall
is reflectionless, and thus the resultant frictional force is non-Markovian
similarly to the case of solitons in superfluids. They share an intriguing
connection to the Abraham-Lorentz force that is well-known for its causality
paradox. The dynamical responses of a domain wall are studied under a few
simple circumstances, where the non-Markovian nature of the frictional force
can be probed experimentally. Our work, in conjunction with the previous study
on solitons in superfluids, shows that the macroscopic frictional force on
solitons can serve as an effective probe of the microscopic degrees of freedom
of the system.Comment: 13 pages, 2 figure
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