Improving Video Colorization by Test-Time Tuning

With the advancements in deep learning, video colorization by propagating color information from a colorized reference frame to a monochrome video sequence has been well explored. However, the existing approaches often suffer from overfitting the training dataset and sequentially lead to suboptimal performance on colorizing testing samples. To address this issue, we propose an effective method, which aims to enhance video colorization through test-time tuning. By exploiting the reference to construct additional training samples during testing, our approach achieves a performance boost of 1~3 dB in PSNR on average compared to the baseline. Code is available at: https://github.com/IndigoPurple/T3Comment: 5 pages, 4 figure

Facile Preparation of Bimetallic MOF-derived Supported Tungstophosphoric Acid Composites for Biodiesel Production

In this work, the novel TPA@C-NiZr-MOF catalyst is synthesized by the impregnation of tungstophosphoric acid (TPA) on the NiZr-based metal-organic framework (NiZr-MOF) followed by calcination up to 300 °C. The as-prepared catalyst materials were structurally, morphologically, and texturally characterized by XRD, FTIR, temperature programmed desorption of NH3 ( TPD-NH3 ), N2 physisorption, SEM, TEM, and XPS. The prepared catalyst can be used as an efficient heterogeneous catalyst for biodiesel production from oleic acid (OA) with methanol. The results indicated that, in comparison to TPA@NiZr-MOF, the TPA@C-NiZr-MOF catalyst calcined at 300 °C exhibits excellent catalytic performance probably owing to the synergistic effect between TPA and metal oxide skeletons, high acidity, as well as larger surface area and pore size. Additionally, the TPA@C-NiZr-MOF catalyst can be reused in up to six cycles with an acceptable conversion. This study showed that the bimetallic MOF-derived composite materials can be used as an alternative potential heterogeneous catalyst toward biorefinery applications

MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer

The massive generation of time-series data by largescale Internet of Things (IoT) devices necessitates the exploration of more effective models for multivariate time-series forecasting. In previous models, there was a predominant use of the Channel Dependence (CD) strategy (where each channel represents a univariate sequence). Current state-of-the-art (SOTA) models primarily rely on the Channel Independence (CI) strategy. The CI strategy treats all channels as a single channel, expanding the dataset to improve generalization performance and avoiding inter-channel correlation that disrupts long-term features. However, the CI strategy faces the challenge of interchannel correlation forgetting. To address this issue, we propose an innovative Mixed Channels strategy, combining the data expansion advantages of the CI strategy with the ability to counteract inter-channel correlation forgetting. Based on this strategy, we introduce MCformer, a multivariate time-series forecasting model with mixed channel features. The model blends a specific number of channels, leveraging an attention mechanism to effectively capture inter-channel correlation information when modeling long-term features. Experimental results demonstrate that the Mixed Channels strategy outperforms pure CI strategy in multivariate time-series forecasting tasks

Internal Flow Research and Fluid-Solid Coupling Analysis for Bulb Turbine with Considering Gravity Affect and Non-uniform Inflow

International audienceLow head bulb turbine has lower hub-tip ratio and higher flow capacity, the characteristics of easy deformation of the cantilever blades under the heavier loads, and the horizontal arrangement which adopted in bulb turbine. Therefore, the water gravity has a significant influence on the internal flow of the turbine. In order to explore the influence of gravity and non-uniform inflow which on the hydrodynamic characteristic and external characteristic of the bulb turbine, this paper has conducted a CFD simulation of a bulb turbine with the fluid-solid coupling method under the boundary condition which considering the free surface and gravity, and analyzed the changes of structural stress and strain under non-uniform inflow and gravity field conditions. The results show that the flow field becomes more complicated due to the vertical pressure gradient caused by gravity. The locality and periodicity of cavitation which occurred in the runner is obvious. And the alternating water pressure were acting on the blades when the runner during the rotating. And the axis symmetry went worse because of the influence of free surface, mutation of the flow passage and water gravity. With the rotation of the runner, blades which under the different circumferential positions were bearing the alternating stress. Also, the maximum deformation at the blade rim position varied in different circumferential positions. This phenomenon is not good for the safe operation of the units

Molecular cloning and preliminary functional analysis of six RING-between-ring (RBR) genes in grass carp (Ctenopharyngodon idellus)

Ubiquitination is a post-translational modification of proteins that is widely present in eukaryotic cells. There is increasing evidence that ubiquitinated proteins play crucial roles in the immune response process. In mammals, RING-between-RING (RBR) proteins play a key role in regulating immune signaling as the important E3 ubiquitin ligases during ubiquitination. However, the function of RBR in fish is still unclear. In the present study, six RBR genes (RNF19A, RNF19B, RNF144AA, RNF144AB, RNF144B and RNF217) of grass carp (Ctenopharyngodon idellus) were cloned and characterized. Similar to mammals, all six members of RBR family contained RING, inbetween-ring (IBR) and transmembrane (TM) domains. These genes were constitutively expressed in all studied tissues, but the relative expression level differed. Following grass carp reovirus(GCRV) infection, the expression of six RBR genes in liver, gill, spleen and intestine significantly altered. Additionally, their expression in Ctenopharyngodon idellus kidney (CIK) cells was significantly increased after GCRV infection. And deficiency of RNF144B in CIK with small interference RNA (siRNA) up-regulated polyinosinic:polycytidylic acid poly(I:C))- induced inflammatory cytokines production, including 1FN-I, TNF-alpha, IL-6, and transcription factor IRF3, which demonstrated that RNF144B was a negative regulator of inflammatory cytokines. Our results suggested that the RBR might play a vital role in regulating immune signaling and laid the foundation for the further mechanism research of RBR in fishes

Neutralization of IL- 10 produced by B cells promotes protective immunity during persistent HCV infection in humanized mice

Chronic HCV infection can lead to cirrhosis and is associated with increased mortality. Interleukin (IL)- 10- producing B cells (B10 cells) are regulatory cells that suppress cellular immune responses. Here, we aimed to determine whether HCV induces B10 cells and assess the roles of the B10 cells during HCV infection. HCV- induced B10 cells were enriched in CD19hi and CD1dhiCD5+ cell populations. HCV predominantly triggered the TLR2- MyD88- NF- κB and AP- 1 signaling pathways to drive IL- 10 production by B cells. In a humanized murine model of persistent HCV infection, to neutralize IL- 10 produced by B10 cells, mice were treated with pcCD19scFv- IL- 10R, which contains the genes coding the anti- CD19 single- chain variable fragment (CD19scFv) and the extracellular domain of IL- 10 receptor alpha chain (sIL- 10Ra). This treatment resulted in significant reduction of B10 cells in spleen and liver, increase of cytotoxic CD8+ T- cell responses against HCV, and low viral loads in infected humanized mice. Our results indicate that targeting B10 cells via neutralization of IL- 10 may offer a novel strategy to enhance anti- HCV immunotherapy.HCV predominantly triggers the TLR2- MyD88- NF- κB and AP- 1 signaling pathways to drive IL- 10 production by B cells. Neutralization of IL- 10 produced by B10 cells promotes anti- HCV immunity in a humanized murine model of persistent HCV infection. These results provide insight into a novel immunotherapy strategy for HCV treatment.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/162732/2/eji4736.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162732/1/eji4736_am.pd