Interpretations of galactic center gamma-ray excess confronting the PandaX-II constraints on dark matter-neutron spin-dependent scatterings in the NMSSM

The Weakly Interacting Massive Particle (WIMP) has been one of the most attractive candidates for Dark Matter (DM), and the lightest neutralino ($\widetilde{\chi}^0_1$) in the Next-to-Minimal Supersymmetric Standard Model (NMSSM) is an interesting realization of WIMP. The Galactic Center Excess (GCE) can be explained by WIMP DM annihilations in the sky. In this work we consider the $Z_3$-NMSSM where the singlet $S$ and Singlino $\widetilde{S}^0$ components play important roles in the Higgs and DM sector. Guided by our analytical arguments, we perform a numerical scan over the NMSSM parameter space for the GCE explanation by considering various observables such as the Standard Model (SM) Higgs data measured by the ATLAS and CMS experiments, and the $B$-physics observables $BR(B_s\rightarrow X_s\gamma)$ and $BR(B_s\rightarrow \mu^+\mu^-)$. We find that the correlation between the coupling $C_{A_1 b\bar{b}}$ in $\langle \sigma_{b\bar{b}} v \rangle _{0}$ and the coupling $C_{Z \widetilde{\chi}^0_1 \widetilde{\chi}^0_1}$ in DM-neutron Spin Dependent (SD) scattering rate $\sigma^{SD}_{\widetilde{\chi}^0_1-N}$ makes all samples we obtain for GCE explanation get excluded by the PandaX-II results. Although the DM resonant annihilation scenarios may be beyond the reach of our analytical approximations and scan strategy, the aforementioned correlation can be a reasonable motivation for future experiments such as PandaX-nT to further test the NMSSM interpretation of GCE.Comment: 11 pages, 4 figures, meeting the published version by EPJ

Mollugin attenuates glucocorticoid-induced osteoporosis in rats via Akt/P13K pathway

Purpose: To investigate the protective effect of mollugin on glucocorticoid (GC)-induced osteoporosis in rats.Methods: A total of 30 female Sprague Dawley rats (weighing 180 to 200 g) were randomly assigned to five groups of six rats each: control, GC and mollugin groups (20, 40 and 80 mg/kg, respectively). Except for the control group, osteoporosis was induced in the rats by intramuscular administration of dexamethasone at a dose of 2.5 mg/kg twice weekly for nine weeks. Bone mineral density (BMD) and serum activities of tartrate-resistant acid phosphatase (TRAP) and specific alkaline phosphatase (ALP), and levels of collagen type I fragment (CTX) and osteocalcin were estimated. The effect of mollugin alone, and in the presence of PI3K/Akt inhibitor on the proliferation of bone marrow osteoblasts was investigated using 3-(4, 5-dimethylthiazol-2-yl)-2, 5-tetrazolium bromide (MTT) assay. Western blotting was used for determination of the expressions of p-Akt, Akt and cyclin D1 protein.Results: There were significant increases in body weights of rats in GC group, when compared with the control group. However, treatment with mollugin significantly reduced the body weights in a dosedependent manner (p < 0.05). The BMD was significantly reduced in GC group, relative to the control group (p < 0.05). Serum activities of TRAP and ALP were significantly higher in GC group than in control group, but were significantly reduced by mollugin treatment (p < 0.05). Serum level of CTX was significantly increased and osteocalcin reduced in the GC group, relative to control (p < 0.05). Osteoblast proliferation was significantly higher in the mollugin-treated groups. The expressions of p-Akt, Akt and cyclin D1 were significantly and dose-dependently higher in mollugin-treated groups (p < 0.05). There were more viable osteoblasts in the mollugin-treated groups than in the untreated group. However, treatment with mollugin in the presence of PI3K/Akt inhibitor significantly reduced their viability (p < 0.05).Conclusion: Mollugin has therapeutic potential for GC-induced osteoporosis via mechanism involving the PI3K/Akt pathway.Keywords: Mollugin, Osteoporosis, Bone, PI3K/Akt inhibitor, Osteoblas

Design of a Support System for Complicated Logistics Location Integrating Big Data

Logistics location is an important component of logistics planning that affects traffic pressure and vehicle emissions. To date, there has not been an adequate study of the integration of big data into the location for a complicated logistics system. This study developed a decision support system that can address location problems for complicated logistics systems, e.g., a multilevel urban underground logistics system (ULS), using logistics big data. First, information needed in the logistics location, such as the traffic performance index (TPI) and the origin/destination (OD) matrix, was collected and calculated using a big data platform, and this information was digitized and represented based on a geographic information system (GIS) tool. Second, a two-stage location model for a ULS was designed to balance the construction costs and traffic congestion. The first stage is establishing a set-covering model to identify optimum locations for secondary hubs based on the ant colony optimization algorithm, and the second stage is clustering of the secondary hubs to determine locations for primary hubs using the iterative self-organizing data analysis technique algorithm (ISODATA). Finally, the Xianlin district of Nanjing, China, was chosen as a case study to validate the effectiveness of the proposed system. The system can be used to facilitate logistics network planning and to promote the application of big data in logistics

Impact of LHC probes of SUSY and recent measurement of (g−2)μ(g-2)_{\mu} on Z3\mathbb{Z}_3-NMSSM

It is well known that excessively heavy supersymmetric particles (sparticles) are disfavored to explain the $(g-2)_\mu$ anomaly, but some people overlook that moderately light sparticles are also disfavored by the LHC probes of supersymmetry. We take the Next-to-Minimal Supersymmetric Standard Model as an example to emphasize the latter point. It is found that, if the theory is required to explain the anomaly at $2\sigma$ level and meanwhile keep consistent with the LHC results, the following lower bounds may be set: $\tan \beta \gtrsim 20$, $|M_1| \gtrsim 275~{\rm GeV}$, $M_2 \gtrsim 300~{\rm GeV}$, $\mu \gtrsim 460~{\rm GeV}$, $m_{\tilde{\mu}_L} \gtrsim 310~{\rm GeV}$, and $m_{\tilde{\mu}_R} \gtrsim 350~{\rm GeV}$, where $M_1$ and $M_2$ denote gaugino masses, $\mu$ represents the Higgsino mass, and $m_{\tilde{\mu}_L}$ and $m_{\tilde{\mu}_R}$ are the mass of Smuons with $L$ and $R$ denoting their dominant chiral component. This observation has significant impacts on dark matter (DM) physics, e.g., the popular $Z$- and Higgs-funnel regions have been excluded, and the Bino-dominated neutralino DM has to co-annihilate with the Wino-dominated electroweakinos (in most cases) and/or Smuons (in few cases) to obtain the correct density. It is also inferred that these conclusions should apply to the Minimal Supersymmetric Standard Model since the underlying physics for the bounds are the same

PDE Formation and Iterative Docking Control of USVs for the Straight-Line-Shaped Mission

In this paper, an intelligent control scheme of formation collision avoidance and iterative docking is proposed for full-actuated unmanned surface vehicles (USVs). The artificial potential field method is integrated into the partial differential equation (PDE) formation control approach, which can improve the collision-avoidance performance of the formation. During the docking process of the straight-line formation, the USV agent is expected to track the desired commands accurately. Considering the possibility of docking failure, an iterative learning model predictive control (ILMPC) scheme is introduced. Once the moving USV fails in docking on the stationary USV, the moving agent can return to the origin to re-execute the docking process. The ILMPC method has the advantages of model predictive control and the iterative learning, so it can consider the future process dynamics in the time domain and overcome periodic disturbances. Simulation results show that USVs can avoid collisions with each other in the straight-line-formation mission. Furthermore, the USV agent can dock one-by-one successfully when interference exists