98 research outputs found
2-D Non-Fickian Dispersion Model for the Initial Period of River Mixing
Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchive
SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
There are five types of trajectory prediction tasks: deterministic,
stochastic, domain adaptation, momentary observation, and few-shot. These
associated tasks are defined by various factors, such as the length of input
paths, data split and pre-processing methods. Interestingly, even though they
commonly take sequential coordinates of observations as input and infer future
paths in the same coordinates as output, designing specialized architectures
for each task is still necessary. For the other task, generality issues can
lead to sub-optimal performances. In this paper, we propose SingularTrajectory,
a diffusion-based universal trajectory prediction framework to reduce the
performance gap across the five tasks. The core of SingularTrajectory is to
unify a variety of human dynamics representations on the associated tasks. To
do this, we first build a Singular space to project all types of motion
patterns from each task into one embedding space. We next propose an adaptive
anchor working in the Singular space. Unlike traditional fixed anchor methods
that sometimes yield unacceptable paths, our adaptive anchor enables correct
anchors, which are put into a wrong location, based on a traversability map.
Finally, we adopt a diffusion-based predictor to further enhance the prototype
paths using a cascaded denoising process. Our unified framework ensures the
generality across various benchmark settings such as input modality, and
trajectory lengths. Extensive experiments on five public benchmarks demonstrate
that SingularTrajectory substantially outperforms existing models, highlighting
its effectiveness in estimating general dynamics of human movements. Code is
publicly available at https://github.com/inhwanbae/SingularTrajectory .Comment: Accepted at CVPR 202
Micropore Structures in Cenosphere-Containing Cementitious Materials Using Micro-CT
Cenospheres have been recently applied to increase the volume of uniform micropores in hardened cementitious materials. Therefore, application of micro-CT to cenosphere-containing binders will help better understand the micropores formed by cenospheres in the hardened materials. Accordingly, the present study prepared Portland cement paste, alkali-activated fly ash/silica fume, and alkali-activated fly ash with 60% weight replacement by cenospheres and reconstructed their micropore structures using micro-CT. From the pore structure, individual micropores were extracted and analyzed using the principal moment ratios (I11/I33 and I22/I33). Based on the moment ratios, the representative pore shapes were determined in the different pore-volume ranges. Four-factor pore compliance contribution (4-factor PCC) model was then applied to predict the influences of the micropores on the elastic moduli of the micropore/matrix composites
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AtRMR1 functions as a cargo receptor for protein trafficking to the protein storage vacuole
Organellar proteins are sorted by cargo receptors on the way to their final destination. However, receptors for proteins that are destined for the protein storage vacuole (PSV) are largely unknown. In this study, we investigated the biological role that Arabidopsis thaliana receptor homology region transmembrane domain ring H2 motif protein (AtRMR) 1 plays in protein trafficking to the PSV. AtRMR1 mainly colocalized to the prevacuolar compartment of the PSV, but a minor portion also localized to the Golgi complex. The coexpression of AtRMR1 mutants that were localized to the Golgi complex strongly inhibited the trafficking of phaseolin to the PSV and caused accumulation of phaseolin in the Golgi complex or its secretion. Coimmunoprecipitation and in vitro binding assays revealed that the lumenal domain of AtRMR1 interacts with the COOH-terminal sorting signal of phaseolin at acidic pH. Furthermore, phaseolin colocalized with AtRMR1 on its way to the PSV. Based on these results, we propose that AtRMR1 functions as the sorting receptor of phaseolin for its trafficking to the PSV
Numerical Analysis of Flow Characteristics in Confulent Channels
Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv
Physiological and Molecular Processes Associated with Long Duration of ABA Treatment
Plants need to respond to various environmental stresses such as abiotic stress for proper development and growth. The responses to abiotic stress can be biochemically demanding, resulting in a trade-off that negatively affects plant growth and development. Thus, plant stress responses must be fine-tuned depending on the stress severity and duration. Abscisic acid, a phytohormone, plays a key role in responses to abiotic stress. Here, we investigated time-dependent physiological and molecular responses to long-term ABA treatment in Arabidopsis as an approach to gain insight into the plant responses to long-term abiotic stress. Upon ABA treatment, the amount of cellular ABA increased to higher levels, reaching to a peak at 24 h after treatment (HAT), and then gradually decreased with time whereas ABA-GE was maintained at lower levels until 24 HAT and then abruptly increased to higher levels at 48 HAT followed by a gradual decline at later time points. Many genes involved in dehydration stress responses, ABA metabolism, chloroplast biogenesis, and chlorophyll degradation were strongly expressed at early time points with a peak at 24 or 48 HAT followed by gradual decreases in induction fold or even suppression at later time points. At the physiological level, long-term ABA treatment caused leaf yellowing, reduced chlorophyll levels, and inhibited chloroplast division in addition to the growth suppression whereas short-term ABA treatment did not affect chlorophyll levels. Our results indicate that the duration of ABA treatment is a crucial factor in determining the mode of ABA-mediated signaling and plant responses: active mobilization of cellular resources at early time points and suppressive responses at later time points.11Ysciescopu
Development of Recombinant Protein-Based Vaccine Against Classical Swine Fever Virus in Pigs Using Transgenic Nicotiana benthamiana
Classical swine fever virus (CSFV) is highly contagious, and fatal to infected pigs. Vaccines against CSFV have been developed from attenuated or modified live viruses. These vaccines are effective for immunization of animals, but they are associated with problems such as the accidental spreading of viruses to animals in the field, and with barriers to trade following vaccination. Here, we report the generation of transgenic Nicotiana benthamiana plants for large-scale, cost-effective production of E2 fusion protein for use as a recombinant vaccine against CSFV in pigs. Transgenic N. benthamiana plants harboring an intergenic, single-copy insertion of a chimeric gene encoding E2 fusion protein had high levels of transgene expression. For large-scale production of E2 fusion protein from leaf tissues, we developed a protein-purification protocol consisting of cellulose-binding domain (CBD)βcellulose-based affinity purification and size-exclusion gel-filtration chromatography. E2 fusion proteins showed high immunogenicity in piglets and provided protection against CSFV challenge. The CBD in the E2 fusion protein was also highly immunogenic. These results suggest that plant-produced recombinant E2 fusion proteins can be developed into cost-effective vaccines against CSFV, with the CBD as a marker antigen to differentiate between vaccination and natural infection
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