28 research outputs found
Coordinate Translator for Learning Deformable Medical Image Registration
The majority of deep learning (DL) based deformable image registration
methods use convolutional neural networks (CNNs) to estimate displacement
fields from pairs of moving and fixed images. This, however, requires the
convolutional kernels in the CNN to not only extract intensity features from
the inputs but also understand image coordinate systems. We argue that the
latter task is challenging for traditional CNNs, limiting their performance in
registration tasks. To tackle this problem, we first introduce Coordinate
Translator, a differentiable module that identifies matched features between
the fixed and moving image and outputs their coordinate correspondences without
the need for training. It unloads the burden of understanding image coordinate
systems for CNNs, allowing them to focus on feature extraction. We then propose
a novel deformable registration network, im2grid, that uses multiple Coordinate
Translator's with the hierarchical features extracted from a CNN encoder and
outputs a deformation field in a coarse-to-fine fashion. We compared im2grid
with the state-of-the-art DL and non-DL methods for unsupervised 3D magnetic
resonance image registration. Our experiments show that im2grid outperforms
these methods both qualitatively and quantitatively
HACA3: A Unified Approach for Multi-site MR Image Harmonization
The lack of standardization is a prominent issue in magnetic resonance (MR)
imaging. This often causes undesired contrast variations due to differences in
hardware and acquisition parameters. In recent years, MR harmonization using
image synthesis with disentanglement has been proposed to compensate for the
undesired contrast variations. Despite the success of existing methods, we
argue that three major improvements can be made. First, most existing methods
are built upon the assumption that multi-contrast MR images of the same subject
share the same anatomy. This assumption is questionable since different MR
contrasts are specialized to highlight different anatomical features. Second,
these methods often require a fixed set of MR contrasts for training (e.g.,
both Tw-weighted and T2-weighted images must be available), which limits their
applicability. Third, existing methods generally are sensitive to imaging
artifacts. In this paper, we present a novel approach, Harmonization with
Attention-based Contrast, Anatomy, and Artifact Awareness (HACA3), to address
these three issues. We first propose an anatomy fusion module that enables
HACA3 to respect the anatomical differences between MR contrasts. HACA3 is also
robust to imaging artifacts and can be trained and applied to any set of MR
contrasts. Experiments show that HACA3 achieves state-of-the-art performance
under multiple image quality metrics. We also demonstrate the applicability of
HACA3 on downstream tasks with diverse MR datasets acquired from 21 sites with
different field strengths, scanner platforms, and acquisition protocols
Does Government-Led Publicity Enhance Corporate Green Behavior? Empirical Evidence from Green <i>Xuanguan</i> in China
Promoting green behavior among corporations is essential to the green transition of industrial sectors in China. There is a unique government-led green publicity institution, āXuanguanā, that expects to accelerate the green idea and policy spread top-down in the economic system in China. However, few studies discussed its role in formulating corporate green behavior. By constructing an integrated model of Government-led publicity-Internal and external perception-Corporate green behavior, this paper explored the effect of government-led green publicity on corporate green behavior, based on the survey data of 199 industrial manufacturing corporations in Henan Province, China. A structural equation model (SEM) was adopted to detect the influence and influential path. The results found that government-led green publicity could positively enhance green behavior via improving the corporate internal perception of risk and opportunity and improving the corporate perception of external environment actors. The heterogeneity tests showed that type of publicity channels, corporate ownership, and corporate scale made different effects on the results. Further analysis proved that government-led publicity could enhance the function of formal environmental regulation. It implies that government-led publicity can be a good compensation for formal regulations and stimulate green behavior. This paper demonstrates a new factor of enhancing corporate behavior and contributed new evidence of Chinaās green development story
Does Government-Led Publicity Enhance Corporate Green Behavior? Empirical Evidence from Green Xuanguan in China
Promoting green behavior among corporations is essential to the green transition of industrial sectors in China. There is a unique government-led green publicity institution, ‘Xuanguan‘, that expects to accelerate the green idea and policy spread top-down in the economic system in China. However, few studies discussed its role in formulating corporate green behavior. By constructing an integrated model of Government-led publicity-Internal and external perception-Corporate green behavior, this paper explored the effect of government-led green publicity on corporate green behavior, based on the survey data of 199 industrial manufacturing corporations in Henan Province, China. A structural equation model (SEM) was adopted to detect the influence and influential path. The results found that government-led green publicity could positively enhance green behavior via improving the corporate internal perception of risk and opportunity and improving the corporate perception of external environment actors. The heterogeneity tests showed that type of publicity channels, corporate ownership, and corporate scale made different effects on the results. Further analysis proved that government-led publicity could enhance the function of formal environmental regulation. It implies that government-led publicity can be a good compensation for formal regulations and stimulate green behavior. This paper demonstrates a new factor of enhancing corporate behavior and contributed new evidence of China’s green development story
An Iron(II) Ylide Complex as a Masked Open-Shell Iron Alkylidene Species in Its Alkylidene-Transfer Reactions with Alkenes
Transition-metal alkylidenes are
important reactive organometallic
intermediates, and our current knowledge on them has been mainly restricted
to those with closed-shell electronic configurations. In this study,
we present an exploration on open-shell iron alkylidenes with a weak-field
tripodal amido-phosphine-amido ligand. We found that a high-spin (amido-phosphine-amido)ĀironĀ(II)
complex can react with (<i>p</i>-tolyl)<sub>2</sub>CN<sub>2</sub> to afford a high-spin (amido-ylide-amido)ĀironĀ(II) complex, <b>2</b>, which could transfer its alkylidene moiety to a variety
of alkenes, either the electron-rich or electron-deficient ones, to
form cyclopropane derivatives. The reaction of <b>2</b> with <i>cis</i>-Ī²-deuterio-styrene gave deuterated cyclopropane
derivatives with partial loss of the stereochemical integrity with
respect to the <i>cis</i>-styrene. Kinetic study on the
cyclopropanation reaction of <b>2</b> with 4-fluoro-styrene
disclosed the activation parameters of Ī<i>H</i><sup>ā§§</sup> = 23 Ā± 1 kcal/mol and Ī<i>S</i><sup>ā§§</sup> = ā20 Ā± 3 cal/mol/K, which are comparable
to those of the cyclopropanation reactions involving transition-metal
alkylidenes. However, the cyclopropanation of <i>para</i>-substituted styrenes by <b>2</b> shows a nonlinear Hammett
plot of logĀ(<i>k</i><sub>X</sub>/<i>k</i><sub>H</sub>) vs Ļ<sub>p</sub>. By introduction of a radical parameter,
a linear plot of logĀ(<i>k</i><sub>X</sub>/<i>k</i><sub>H</sub>) vs 0.59Ļ<sub>p</sub> + 0.55Ļ<sub>c</sub><sup>ā¢</sup> was obtained, which suggests the ānucleophilicā
radical nature of the transition state of the cyclopropanation step.
In corroboration with the experimental observations, density functional
theory calculation on the reaction of <b>2</b> with styrene
suggests the involvement of an open-shell (amido-phosphine-amido)Āiron
alkylidene intermediate that is higher in energy than its (amido-ylide-amido)ĀironĀ(II)
precursor and an āouter-sphereā radical-type mechanism
for the cyclopropanation step. The negative charge distribution on
the alkylidene carbon atoms of the open-shell states (<i>S</i> = 2 and 1) explains the high activity of the cyclopropanation reaction
toward electron-deficient alkenes. The study demonstrates the unique
activity of open-shell iron alkylidene species beyond its closed-shell
analogues, thus pointing out their potential synthetic usage in catalysis
Protective immunity induced by Eimeria common antigen 14ā3-3 against Eimeria tenella, Eimeria acervulina and Eimeria maxima
Abstract Background Avian coccidiosis is often caused by co-infection with several species of Eimeria worldwide. Developing a multivalent vaccine with an antigen common to multiple Eimeria species is a promising strategy for controlling clinical common co-infection of Eimeria. In the previous study, 14ā3-3 was identified as one of the immunogenic common antigen in E. tenella, E. acervulina and E. maxima. The aim of the present study was to evaluate the immunogenicity and protective efficacy of Ea14ā3-3 in the form of DNA vaccine against infection with three species of Eimeria both individually and simultaneously. Results After vaccination with pVAX-Ea14ā3-3, the Ea14ā3-3 gene was transcribed and expressed in the injected muscles. Vaccination with pVAX-Ea14ā3-3 significantly increased the proportion of CD4+ and CD8+ T lymphocytes and produced a strong IgY response in immunized chickens. Similarly, pVAX-Ea14ā3-3 stimulated the chickenās splenocytes to produce high levels of Th1-type (IFN-Ī³, IL-2) and Th2-type (IL-4) cytokines. The vaccine-induced immune response was responsible to increase weight gain, decreased the oocyst output, and alleviated enteric lesions significantly in immunized chickens as compared to control group, in addition to induce moderate anti-coccidial index (ACI). Conclusion These results indicate that Ea14ā3-3 is highly immunogenic and capable to induce significant immune responses. Furthermore, Ea14ā3-3 antigen can provide effective protection against infection with Eimeria tenella, Eimeria acervulina, Eimeria maxima both individually and in combination with three Eimeria species. Significant outcomes of our study provide an effective candidate antigen for developing a multivalent Eimeria vaccine against mixed infection with various Eimeria species under natural conditions
Rothia nasimurium as a Cause of Disease: First Isolation from Farmed Chickens
Rothia nasimurium is a facultative anaerobic Gram-positive coccus belonging to the Rothia genus of the Micrococcaceae family. While Rothia nasimurium is considered an opportunistic pathogen, to date few studies have investigated its pathogenicity and drug resistance. In January 2022, chickens at a poultry farm in China’s Xinjiang Uygur Autonomous Region became ill and died. Treatment with commonly used Chinese medicines and antibiotics was ineffective, causing economic losses to the poultry farm. In order to determine the cause of the disease in these poultry farm chickens, the isolation and identification of the pathogens in the livers and other internal organs of the sick and dead chickens were performed. Further, animal pathogenicity tests, antibiotic susceptibility tests, and the detection of antibiotic resistance genes were carried out to analyze the pathogenicity and drug resistance of the identified pathogens. A Gram-positive coccus was isolated from the livers of the diseased chickens. The isolate was resistant to 17 antibiotics, including ciprofloxacin, chloramphenicol, and florfenicol, and was only sensitive to penicillin, amikacin, and tigecycline, to varying degrees. The results of the drug resistance gene testing indicated that the isolated bacterium carried 13 kinds of resistance genes. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, morphological observations, biochemical tests, and 16S rRNA gene sequence analysis were performed on the isolated bacterium, and it was determined that the isolated bacterial strain was Rothia nasimurium. The animal pathogenicity tests showed that the isolate caused feather loss and death in chicks; the clinical symptoms and necropsy lesions of the test chicks were consistent with those observed in the farmed chickens. A review of the literature revealed that, to date, there are no reports of infection with Rothia nasimurium in chickens. Thus, in this study, Rothia nasimurium was isolated from chickens for the first time and an investigation of the biological characteristics of the bacterium was carried out in order to provide a reference for the clinical treatment, prevention, and control of Rothia nasimurium infection
An Iron(II) Ylide Complex as a Masked Open-Shell Iron Alkylidene Species in Its Alkylidene-Transfer Reactions with Alkenes
Transition-metal alkylidenes are
important reactive organometallic
intermediates, and our current knowledge on them has been mainly restricted
to those with closed-shell electronic configurations. In this study,
we present an exploration on open-shell iron alkylidenes with a weak-field
tripodal amido-phosphine-amido ligand. We found that a high-spin (amido-phosphine-amido)ĀironĀ(II)
complex can react with (<i>p</i>-tolyl)<sub>2</sub>CN<sub>2</sub> to afford a high-spin (amido-ylide-amido)ĀironĀ(II) complex, <b>2</b>, which could transfer its alkylidene moiety to a variety
of alkenes, either the electron-rich or electron-deficient ones, to
form cyclopropane derivatives. The reaction of <b>2</b> with <i>cis</i>-Ī²-deuterio-styrene gave deuterated cyclopropane
derivatives with partial loss of the stereochemical integrity with
respect to the <i>cis</i>-styrene. Kinetic study on the
cyclopropanation reaction of <b>2</b> with 4-fluoro-styrene
disclosed the activation parameters of Ī<i>H</i><sup>ā§§</sup> = 23 Ā± 1 kcal/mol and Ī<i>S</i><sup>ā§§</sup> = ā20 Ā± 3 cal/mol/K, which are comparable
to those of the cyclopropanation reactions involving transition-metal
alkylidenes. However, the cyclopropanation of <i>para</i>-substituted styrenes by <b>2</b> shows a nonlinear Hammett
plot of logĀ(<i>k</i><sub>X</sub>/<i>k</i><sub>H</sub>) vs Ļ<sub>p</sub>. By introduction of a radical parameter,
a linear plot of logĀ(<i>k</i><sub>X</sub>/<i>k</i><sub>H</sub>) vs 0.59Ļ<sub>p</sub> + 0.55Ļ<sub>c</sub><sup>ā¢</sup> was obtained, which suggests the ānucleophilicā
radical nature of the transition state of the cyclopropanation step.
In corroboration with the experimental observations, density functional
theory calculation on the reaction of <b>2</b> with styrene
suggests the involvement of an open-shell (amido-phosphine-amido)Āiron
alkylidene intermediate that is higher in energy than its (amido-ylide-amido)ĀironĀ(II)
precursor and an āouter-sphereā radical-type mechanism
for the cyclopropanation step. The negative charge distribution on
the alkylidene carbon atoms of the open-shell states (<i>S</i> = 2 and 1) explains the high activity of the cyclopropanation reaction
toward electron-deficient alkenes. The study demonstrates the unique
activity of open-shell iron alkylidene species beyond its closed-shell
analogues, thus pointing out their potential synthetic usage in catalysis
Disentangling A Single MR Modality
Disentangling anatomical and contrast information from medical images has
gained attention recently, demonstrating benefits for various image analysis
tasks. Current methods learn disentangled representations using either paired
multi-modal images with the same underlying anatomy or auxiliary labels (e.g.,
manual delineations) to provide inductive bias for disentanglement. However,
these requirements could significantly increase the time and cost in data
collection and limit the applicability of these methods when such data are not
available. Moreover, these methods generally do not guarantee disentanglement.
In this paper, we present a novel framework that learns theoretically and
practically superior disentanglement from single modality magnetic resonance
images. Moreover, we propose a new information-based metric to quantitatively
evaluate disentanglement. Comparisons over existing disentangling methods
demonstrate that the proposed method achieves superior performance in both
disentanglement and cross-domain image-to-image translation tasks