Magneto-vortical effect in strongly coupled plasma

Based on a holographic model incorporating both chiral anomaly and gravitational anomaly, we study the effect of magneto-vortical coupling on transport properties of a strongly coupled plasma. The focus of present work is on the generation of a vector charge density and an axial current, as response to vorticity in a magnetized plasma. The transport coefficients parameterising the vector charge density and axial current are calculated both analytically (in the weak magnetic field limit) and also numerically (for general values of the magnetic field). We find the generation of vector charge receives both non-anomalous and anomalous contributions, with the non-anomalous contribution dominating in the limit of strong magnetic field and the anomalous contribution sensitive to both chiral anomaly and gravitational anomaly. On the contrary, we find the axial current is induced entirely due to the gravitational anomaly, thus we interpret the axial current generation as chiral vortical effect. The corresponding chiral vortical conductivity is found to be suppressed by the magnetic field. By Onsager relation, these transport coefficients are responsible for the generation of a thermal current due to a transverse electric field or a transverse axial magnetic field, which we call thermal Hall effect and thermal axial magnetic effect, respectively.Comment: 37 pages, 6 figure

A Nonlinear Elliptic PDE with Two Sobolev-Hardy Critical Exponents

In this paper, we consider the following PDE involving two Sobolev-Hardy critical exponents, \label{0.1} {& \Delta u + \lambda\frac{u^{2^*(s_1)-1}}{|x|^{s_1}} + \frac{u^{2^*(s_2)-1}}{|x|^{s_2}} =0 \text{in} \Omega, & u=0 \qquad \text{on} \Omega, where $0 \le s_2 < s_1 \le 2$, $0 \ne \lambda \in \Bbb R$ and $0 \in \partial \Omega$. The existence (or nonexistence) for least-energy solutions has been extensively studied when $s_1=0$ or $s_2=0$. In this paper, we prove that if $0< s_2 < s_1 <2$ and the mean curvature of $\partial \Omega$ at 0 $H(0)<0$, then \eqref{0.1} has a least-energy solution. Therefore, this paper has completed the study of \eqref{0.1} for the least-energy solutions. We also prove existence or nonexistence of positive entire solutions of \eqref{0.1} with \Omega =\rn under different situations of $s_1, s_2$ and $\lambda$

Measuring cultural intelligence: a new test of the CQ scale

Despite an increasing number of publications on cultural intelligence (CQ), the operationalization and conceptualization of this construct demand further attention. In this replication study among 308 experienced overseas Chinese respondents, a two-dimensional structure seems to better represent the data than the original four-dimensional CQ scale. The results of the analysis identify two new dimensions: internalized cultural knowledge and effective cultural flexibility, both of which exhibit satisfactory levels of reliability and validity. A series of regression analyses also provide assessments of the nomological validity of the new CQ dimensions in relation to their antecedents and consequences

Long-Range Grouping Transformer for Multi-View 3D Reconstruction

Nowadays, transformer networks have demonstrated superior performance in many computer vision tasks. In a multi-view 3D reconstruction algorithm following this paradigm, self-attention processing has to deal with intricate image tokens including massive information when facing heavy amounts of view input. The curse of information content leads to the extreme difficulty of model learning. To alleviate this problem, recent methods compress the token number representing each view or discard the attention operations between the tokens from different views. Obviously, they give a negative impact on performance. Therefore, we propose long-range grouping attention (LGA) based on the divide-and-conquer principle. Tokens from all views are grouped for separate attention operations. The tokens in each group are sampled from all views and can provide macro representation for the resided view. The richness of feature learning is guaranteed by the diversity among different groups. An effective and efficient encoder can be established which connects inter-view features using LGA and extract intra-view features using the standard self-attention layer. Moreover, a novel progressive upsampling decoder is also designed for voxel generation with relatively high resolution. Hinging on the above, we construct a powerful transformer-based network, called LRGT. Experimental results on ShapeNet verify our method achieves SOTA accuracy in multi-view reconstruction. Code will be available at https://github.com/LiyingCV/Long-Range-Grouping-Transformer.Comment: Accepted to ICCV 202

GARNet: Global-Aware Multi-View 3D Reconstruction Network and the Cost-Performance Tradeoff

Deep learning technology has made great progress in multi-view 3D reconstruction tasks. At present, most mainstream solutions establish the mapping between views and shape of an object by assembling the networks of 2D encoder and 3D decoder as the basic structure while they adopt different approaches to obtain aggregation of features from several views. Among them, the methods using attention-based fusion perform better and more stable than the others, however, they still have an obvious shortcoming -- the strong independence of each view during predicting the weights for merging leads to a lack of adaption of the global state. In this paper, we propose a global-aware attention-based fusion approach that builds the correlation between each branch and the global to provide a comprehensive foundation for weights inference. In order to enhance the ability of the network, we introduce a novel loss function to supervise the shape overall and propose a dynamic two-stage training strategy that can effectively adapt to all reconstructors with attention-based fusion. Experiments on ShapeNet verify that our method outperforms existing SOTA methods while the amount of parameters is far less than the same type of algorithm, Pix2Vox++. Furthermore, we propose a view-reduction method based on maximizing diversity and discuss the cost-performance tradeoff of our model to achieve a better performance when facing heavy input amount and limited computational cost

Enhanced removal of acetaminophen from synthetic wastewater using multi-walled carbon nanotubes (MWCNTs) chemically modified with NaOH, HNO3/H2SO4, ozone, and/or chitosan

peer-reviewedThis study investigates the technical feasibility of MWCNTs for acetaminophen (Ace) removal from synthetic wastewater in batch mode. To improve their removal performance, the surface of the MWCNTs was chemically modified with NaOH, HNO3/H2SO4, ozone and/or chitosan. The effects of pertinent parameters such as reaction time, dose, pH, and agitation speed on the Ace removal were evaluated. Their removal performance on Ace was compared to those of previous studies. The adsorption mechanisms of Ace removal by the MWCNTs are also presented. It is evident from this study that after chemical modification on its surface, the treated nano-adsorbent significantly enhanced Ace removal from wastewater. Among all types of those adsorbents, the ozone-treated MWCNT stands out for the highest Ace removal (95%) under the same initial Ace concentration of 10 mg/L. Their adsorption capacities, applicable to the Freundlich isotherm model, are listed as: ozone-treated MWCNT (250 mg/g) > chitosan-coated MWCNT (205 mg/g) > acid-treated MWCNT (160 mg/g) > NaOH-treated MWCNT (130 mg/g) > as-received MWCNT (90 mg/g). Although the ozone-treated MWCNT has the most outstanding performance in Ace removal, its treated effluent still could not meet the required effluent limit of less than 0.2 mg/L set by China’s legislation. This suggests that further treatment using biological processes needs to be carried out to complement Ace removal from the wastewater samples

Astaxanthin protects against diabetic cardiomyopathy via activation of Akt pathway in H9c2 cells

Purpose: To investigate the cardioprotective action of astaxanthin, and to elucidate its underlying mechanism of action in H9c2 cells.Methods: Cell viability was determined by MTT assay. Intracellular reactive oxygen species (ROS) were evaluated using 2, 7-dichlorodihydro-fluorescein diacetate (H2DCFDA) staining. Cell apoptosis were assessed by determining caspase activities using colorimetric assay. The apoptotic cells were labelled with annexin V/PI staining and quantified by flow cytometry. Involvement of Akt signaling pathway was verified using western blot.Results: The results revealed that astaxanthin (5 and 10 μM) dose-dependently reversed high glucoseinduced cell viability loss in H9c2 cells (p &lt; 0.01 and p &lt; 0.001, respectively). Astaxanthin inhibited intracellular ROS production, decreased caspase 3 and caspase 9 activities in high glucose-challenged H9c2 cells in a concentration-related manner (p &lt; 0.05). Besides, astaxanthin markedly inhibited the number of apoptotic H9c2 cells induced by high glucose. Furthermore, western blot analysis demonstrated that astaxanthin upregulated the activation of Akt signaling.Conclusion: Astaxanthin may protect high glucose induced diabetic cardiomyopathy via activation of Akt pathway, and thus deserves further investigation as a cardioprotective agent.Keywords: Astaxanthin, Diabetic cardiomyopathy, Cardiomyocyte, Apoptosis, Akt pathwa