Investigation of the antidepressant effects of Shu-Gan-Jie- Yu granule and its mechanism of action

Purpose: To study the antidepressant effects of Shu-Gan-Jie-Yu granule (SJG) and its possible mechanisms in mice.Methods: The anti-depressive effects of SJG were evaluated by three techniques, viz, forced swimming test (FST), tail suspension test (TST) and open field test (OFT). The levels of the neurotransmitters norepinephrine (NE), DA, and 5-HT in the brains of depressive mice were determined using commercially available kits. In addition, the effects of SJG on the BDNF expression in the mice brain were determined by western blot.Results: Administration of SJG significantly reduced the duration time of immobility in the experiments of FST and TST. In addition, relative to the control mice, SJG (800 mg/kg) administration significantly affected the mobility performance (p < 0.05) of mice. The levels of the three  neurotransmitters (DA, NE and 5-HT) and BDNF in the brains of depressive mice were increased by treatment with SJG at the doses of 200, 400 and 800 mg/kg (p < 0.05). The results suggested that SJG exerted a significant antidepressant effect, which could be attributed to increases in the levels of neurotransmitters, and the up-regulation of BDNF expression.Conclusion: The results suggested that SJG exerted a significant antidepressant effect, most probably via regulation of related neurotransmitters (including DA, NE, and 5-HT) and BDNF in the brain. Keywords: Shu-Gan-Jie-Yu granule, Antidepressant, dopamine, norepinephrine, 5-hydroxytryptamine, brain-derived neurotrophic facto

Achieving Covert Communication With A Probabilistic Jamming Strategy

In this work, we consider a covert communication scenario, where a transmitter Alice communicates to a receiver Bob with the aid of a probabilistic and uninformed jammer against an adversary warden's detection. The transmission status and power of the jammer are random and follow some priori probabilities. We first analyze the warden's detection performance as a function of the jammer's transmission probability, transmit power distribution, and Alice's transmit power. We then maximize the covert throughput from Alice to Bob subject to a covertness constraint, by designing the covert communication strategies from three different perspectives: Alice's perspective, the jammer's perspective, and the global perspective. Our analysis reveals that the minimum jamming power should not always be zero in the probabilistic jamming strategy, which is different from that in the continuous jamming strategy presented in the literature. In addition, we prove that the minimum jamming power should be the same as Alice's covert transmit power, depending on the covertness and average jamming power constraints. Furthermore, our results show that the probabilistic jamming can outperform the continuous jamming in terms of achieving a higher covert throughput under the same covertness and average jamming power constraints

Emulating Reader Behaviors for Fake News Detection

The wide dissemination of fake news has affected our lives in many aspects, making fake news detection important and attracting increasing attention. Existing approaches make substantial contributions in this field by modeling news from a single-modal or multi-modal perspective. However, these modal-based methods can result in sub-optimal outcomes as they ignore reader behaviors in news consumption and authenticity verification. For instance, they haven't taken into consideration the component-by-component reading process: from the headline, images, comments, to the body, which is essential for modeling news with more granularity. To this end, we propose an approach of Emulating the behaviors of readers (Ember) for fake news detection on social media, incorporating readers' reading and verificating process to model news from the component perspective thoroughly. Specifically, we first construct intra-component feature extractors to emulate the behaviors of semantic analyzing on each component. Then, we design a module that comprises inter-component feature extractors and a sequence-based aggregator. This module mimics the process of verifying the correlation between components and the overall reading and verification sequence. Thus, Ember can handle the news with various components by emulating corresponding sequences. We conduct extensive experiments on nine real-world datasets, and the results demonstrate the superiority of Ember.Comment: 12 page

Aqua­[bis­(2-ethyl-5-methyl-1H-imidazol-4-yl-κN 3)methane]­oxalatocopper(II) dihydrate

In the title compound, [Cu(C2O4)(C13H20N4)(H2O)]·2H2O, the CuII atom exhibits a distorted square-pyramidal geometry with the two N atoms of the imidazole ligand and the two O atoms of the oxalate ligand forming the basal plane, while the O atom of the coordinated water mol­ecule is in an apical position. The CuII atom is shifted 0.232 (2) Å out of the basal plane toward the water mol­ecule. The asymmetric unit is completed by two solvent water mol­ecules. These water mol­ecules participate in the formation of an intricate three-dimensionnal network of hydrogen bonds involving the coordinated water mol­ecule and the NH groups

Bis[bis­(2-ethyl-5-methyl-1H-imidazol-4-yl-κN 3)methane](nitrato-κ2 O,O′)nickel(II) nitrate

In the title compound, [Ni(NO3)(C13H20N4)2]NO3, the NiII ion shows a distorted octa­hedral geometry formed by four N atoms from two bis­(2-ethyl-5-methyl-1H-imidazol-4-yl)methane ligands and two O atoms from a chelating nitrate anion. Three ethyl groups in the complex cation and the O atoms of the uncoordinated nitrate anion are disordered over two sets of positions [occupancy ratios of 0.52 (3):0.48 (3) and 0.63 (3):0.37 (3), respectively]. In the crystal, inter­molecular N—H⋯O hydrogen bonds connect the complex cations into a zigzag chain along [010] and further N—H⋯O hydrogen bonds between the chains and the uncoordinated nitrate anions lead to layers parallel to (100)

Radial Angular Momentum Transfer and Magnetic Barrier for Short-Type Gamma-Ray Burst Central Engine Activity

Soft extended emission (EE) following initial hard spikes up to 100 seconds was observed with {\em Swift}/BAT for about half of short-type gamma-ray bursts (SGRBs). This challenges the conversional central engine models of SGRBs, i.e., compact star merger models. In the framework of the black hole-neutron star merger models, we study the roles of the radial angular momentum transfer in the disk and the magnetic barrier around the black hole for the activity of SGRB central engines. We show that the radial angular momentum transfer may significantly prolong the lifetime of the accretion process and multiple episodes may be switched by the magnetic barrier. Our numerical calculations based on the models of the neutrino-dominated accretion flows suggest that the disk mass is critical for producing the observed EE. In case of the mass being $\sim 0.8M_{\odot}$, our model can reproduce the observed timescale and luminosity of both the main and EE episodes in a reasonable parameter set. The predicted luminosity of the EE component is lower than the observed EE with about one order of magnitude and the timescale is shorter than 20 seconds if the disk mass being $\sim 0.2M_{\odot}$. {\em Swift}/BAT-like instruments may be not sensitive enough to detect the EE component in this case. We argue that the EE component would be a probe for merger process and disk formation for compact star mergers.Comment: 9 pages, 3 figures, accepted for publication in Ap