The dynamical second-order transport coefficients of smeared Dp-brane

The smeared Dp-brane is constructed by having the black Dp-brane uniformly smeared over several transverse directions. After integrating the spherical directions and the smeared directions, the smeared Dp-brane turns out to be a Chamblin-Reall model with one background scalar field. Within the framework of the fluid/gravity correspondence, we not only prove the equivalence between the smeared Dp-brane and the compactified Dp-brane by explicitly calculating the 7 dynamical second-order transport coefficients of their dual relativistic fluids, but also revisit the Correlated Stability Conjecture for the smeared Dp-brane via the fluid/gravity correspondence.Comment: 25pages, 2 table

The Application of the Genetic Algorithm in Promoting Stock Trading Performances

This thesis joins the debate on utilizing the Genetic Algorithm (GA) to discover profitable trading strategies by providing an out-of-sample test of GA-based trading strategies on the CSI 300 index. Our results suggest that, with trading costs taken into consideration, GA-based trading rules consistently beat the buy-and-hold strategy in daily trading of CSI 300 index. Besides, we open up the black box of the evolution process of the GA by testing the statistical significance of the GA-based profitable trading strategies through the Fama-MacBeth regressions. In addition, this study connects the literature on the regime switching with studies on the GA-based trading strategies to construct one regime-switching Genetic Algorithm (RSGA) model and makes a comparison between the GA-based and the RSGA-based trading strategies. The empirical results show that trading strategies generated from the RSGA model consistently outperform those obtained from the GA model

Local delivery of checkpoints antibodies

Immune checkpoint inhibitors (ICI) based cancer immunotherapy has recently attracted considerable interest in the field of cancer therapy. The relevant immunotherapeutic agents do not directly attack the tumor, but boost the body's immune system to recognize and kill cancer cells. In this commentary, recent efforts utilizing immunoengineering for local delivery of these immune checkpoint antibodies are introduced. Future opportunities and challenges in this research theme are also commented

NIR-Responsive Photocatalytic Activity (980nm and 794nm) of NaYF4:YB, Tm-Tio2 and NaYF4 :Yb, Tm, Nd@NaYF4:Nd-TiO2 Colloidal Spheres

Master'sMASTER OF SCIENC

FTA: Stealthy and Robust Backdoor Attack with Flexible Trigger on Federated Learning

Current backdoor attacks against federated learning (FL) strongly rely on universal triggers or semantic patterns, which can be easily detected and filtered by certain defense mechanisms such as norm clipping, comparing parameter divergences among local updates. In this work, we propose a new stealthy and robust backdoor attack with flexible triggers against FL defenses. To achieve this, we build a generative trigger function that can learn to manipulate the benign samples with an imperceptible flexible trigger pattern and simultaneously make the trigger pattern include the most significant hidden features of the attacker-chosen label. Moreover, our trigger generator can keep learning and adapt across different rounds, allowing it to adjust to changes in the global model. By filling the distinguishable difference (the mapping between the trigger pattern and target label), we make our attack naturally stealthy. Extensive experiments on real-world datasets verify the effectiveness and stealthiness of our attack compared to prior attacks on decentralized learning framework with eight well-studied defenses