KL−KSK_L-K_S mass difference from Lattice QCD

We will report on the first full calculation of the $K_L-K_S$ mass difference in lattice QCD. The calculation is performed on a 2+1 flavor, domain wall fermion, $24^3\times 64$ ensemble with a 329 MeV pion mass and a 575 MeV kaon mass. Both double penguin diagrams and disconnected diagrams are included in this calculation. The calculation is made finite through the GIM mechanism by introducing a 949 MeV valence charm quark. While the double penguin diagrams contribute a very small fraction to the mass difference, there is a large cancellation between disconnected diagrams and other types of diagrams. We obtain the mass difference $\Delta M_K$=$3.30(34)\times 10^{-12}$ MeV for these unphysical kinematics.Comment: 7 pages, 5 figures, presented at the 31st International Symposium on Lattice Field Theory (Lattice 2013), 29 July - 3 August 2013, Mainz, German

Role of Selective Histone Deacetylase 6 Inhibitor ACY-1215 in Cancer and Other Human Diseases

The deacetylation process regulated by histone deacetylases (HDACs) plays an important role in human health and diseases. HDAC6 belongs to the Class IIb of HDACs family, which mainly modifies non-histone proteins located in the cytoplasm. HDAC6 plays a key role in tumors, neurological diseases, and inflammatory diseases. Therefore, targeting HDAC6 has become a promising treatment strategy in recent years. ACY-1215 is the first orally available highly selective HDAC6 inhibitor, and its efficacy and therapeutic effects are being continuously verified. This review summarizes the research progress of ACY-1215 in cancer and other human diseases, as well as the underlying mechanism, in order to guide the future clinical trials of ACY-1215 and more in-depth mechanism researches

Identification of a Topological Characteristic Responsible for the Biological Robustness of Regulatory Networks

Attribution of biological robustness to the specific structural properties of a regulatory network is an important yet unsolved problem in systems biology. It is widely believed that the topological characteristics of a biological control network largely determine its dynamic behavior, yet the actual mechanism is still poorly understood. Here, we define a novel structural feature of biological networks, termed ‘regulation entropy’, to quantitatively assess the influence of network topology on the robustness of the systems. Using the cell-cycle control networks of the budding yeast (Saccharomyces cerevisiae) and the fission yeast (Schizosaccharomyces pombe) as examples, we first demonstrate the correlation of this quantity with the dynamic stability of biological control networks, and then we establish a significant association between this quantity and the structural stability of the networks. And we further substantiate the generality of this approach with a broad spectrum of biological and random networks. We conclude that the regulation entropy is an effective order parameter in evaluating the robustness of biological control networks. Our work suggests a novel connection between the topological feature and the dynamic property of biological regulatory networks

Measurement of thermal effects of diode-pumped solid-state laser by using digital holography

Thermal lensing is one of the most important factors that can affect the performance of high-power solid-state lasers, such as limiting the power scaling capability and deteriorating output beam quality. In this paper, a novel and accurate measurement of digital holography is proposed to determine the thermal lensing of diode-pumped solid-state lasers with high resolution. The digitally recorded hologram can reveal the phase change when light travels through the laser gain medium. From the phase map, we can obtain the index variations induced by temperature differences inside the laser crystal when it is pumped by laser diodes, as well as determine the focal length of the integrated thermal lensing focus length. There was much work on measuring the static laser medium thermal lens because there is no laser output from the cavity in the setup. Our experiment setup was able to achieve online measurement with laser output at the same time. The measuring result can provide an accurate guide for compensating the thermal lensing in laser design to achieve high-power output and good beam quality. Moreover, detailed index variations in the direction of the laser crystal cross-section can be numerically reconstructed, by which the thermal effects, pump uniformity, crystal uniformity, etc., can be revealed from the holography result.MOE (Min. of Education, S’pore

Research on BeiDou B1C Signal Abnormal Monitoring Algorithm Based on Machine Learning

High-precision systems such as civil aviation have put forward higher requirements for navigation systems, including indicators such as accuracy and integrity. Signal distortions and evil waveforms (EWF) generated by the signal-generating hardware on the satellite can severely affect the cross-correlation function of the signal, thereby affecting the integrity of the navigation system. With the further development of the BeiDou Navigation System (BDS), the types of signal distortion are subdivided into three types: analog distortion, subcarrier distortion, and PN code distortion. Traditional multi-correlator methods are no longer applicable under the requirements of modern navigation systems. In this paper, a machine learning-based BeiDou B1C signal anomaly monitoring algorithm is proposed. We detected and classified the signals using a quadratic discriminant analysis (QDA) method. The results show that our method can accurately classify the distortion types under the condition that the accuracy of distortion detection can be greatly improved. Meanwhile, our method is also highly effective and robust

Enhanced protective efficacy of an OprF/PcrV bivalent DNA vaccine against Pseudomonas aeruginosa using a hydrogel delivery system

Pseudomonas aeruginosa (PA) is one of the leading pathogens responsible for hospital-acquired infections. With the increasing antibiotic resistance of PA, clinical treatment has become increasingly challenging. DNA vaccines represent a promising approach for combating PA infection. However, the immune response induced by a single antigen is limited, and combination vaccines hold greater therapeutic potential. The highly conserved OprF and PcrV genes are attractive candidate antigens for vaccine development, but the poor delivery of such vaccines has limited their clinical application. In this study, we constructed an OprF/PcrV bivalent DNA vaccine, and a polyaspartamide/polyethylene glycol di-aldehyde (PSIH/PEG DA) hydrogel was formulated to improve DNA delivery. The OprF/PcrV DNA vaccine formulated with the PSIH/PEG DA hydrogel was carefully characterized in vitro and in vivo and showed suitable compatibility. The PSIH/PEG DA hydrogel formulation induced a mixed Th1/Th2/Th17 immune response in mice, leading to a significant increase in antibody titers, lymphocyte proliferation rates, and cytokine levels compared to those in mice treated with single or combined vaccines. The PSIH/PEG DA hydrogel delivery system significantly enhanced the immune protection of the DNA vaccine in a murine pneumonia model, as revealed by the reduced bacterial burden and inflammation in the mouse lungs and increased survival rate. In conclusion, the PSIH/PEG DA hydrogel delivery system can further enhance the immune efficacy of the combination OprF/PcrV DNA vaccine. This research provides a novel optimized strategy for the prevention and treatment of PA infection using DNA vaccines

Preparation of Electrospun Active Molecular Membrane and Atmospheric Free Radicals Capture

We load the natural active molecules onto the spin film in an array using electrospinning techniques. The electrospun active molecular membranes we obtain in optimal parameters exhibit excellent capacity for scavenging radical. The reaction capacity of three different membranes for free radicals are shown as follow, glycyrrhizin acid membrane > quercetin membrane > α-mangostin membrane. The prepared active molecular electrospun membranes with a large specific surface area and high porosity could increase the interaction area between active molecules and free radicals. Additionally, it also has improved anti-airflow impact strength, anti-contaminant air molecular interference ability, and the ability to capture free radicals