Further study of the global minimum constraint on the two-Higgs-doublet models: LHC searches for heavy Higgs bosons

The usually considered vacuum of the two-Higgs-doublet model (2HDM) could be unstable if it locates at a local but not global minimum (GM) of the scalar potential. By requiring the vacuum to be a GM, we obtain an additional constraint, namely the GM constraint, on the scalar potential. In this work, we explore the GM constraint on the $CP$-conserving general 2HDM. This constraint is found to put limits on the soft $\mathbb{Z}_2$ breaking mass parameter $m_{12}^2$ and also squeeze the heavy $CP$-even Higgs boson mass into larger values for the $m_{12}^2< 0$ case. Combined with the current global signal fits from the LHC measurements of the 125 GeV Higgs boson, we discuss the phenomenological implications for the heavy Higgs boson searches at the LHC.Comment: 19 pages, 9 figures, 2 tables; v2: Refs added, one-loop level results added, conclusion doesn't change, matches to published versio

Topological superfluid in a fermionic bilayer optical lattice

In this paper, a topological superfluid phase with Chern number C=1 possessing gapless edge states and non-Abelian anyons is designed in a C=1 topological insulator proximity to an s-wave superfluid on an optical lattice with the effective gauge field and layer-dependent Zeeman field coupled to ultracold fermionic atoms pseudo spin. We also study its topological properties and calculate the phase stiffness by using the random-phase-approximation approach. Finally we derive the temperature of the Kosterlitz-Thouless transition by means of renormalized group theory. Owning to the existence of non-Abelian anyons, this C=1 topological superfluid may be a possible candidate for topological quantum computation.Comment: 15 pages, 8 figure

Therapeutic Effects of Water Extract of Arisaema Erubescens Tubers on Type II Collagen-induced Arthritis in Rats

Purpose: To investigate the anti-arthritic activity of the water extract of Rhizoma Arisaematis (WERA) using collagen II (CII)-induced arthritis (CIA) rat model.Methods: CIA was induced in male Sprague-Dawley rat by intra dermal injection of bovine collagen type II (C II) in Freund’s complete adjuvant (cFA). The rats were treated daily for 21 consecutive days with WERA at doses of 100, 200, and 400 mg/kg. Methotrexate (MTX) was used as positive control, and administered at a dose of 3 mg/kg intraperitoneally in two-weekly cycles for 3 weeks. Severity of arthritis was evaluated by arthritic scores, including paw swelling, arthritic score, body weight, thymus index and spleen index. The levels of IL-1β, IL-6, IL-10 and TNF-α in serum were also measured.Results: The results revealed that WERA significantly inhibited paw edema (p-value &lt; 0.01), decreased arthritis scores (p-value &lt; 0.01) and spleen index (p-value &lt; 0.05), and alleviated the weight loss of CIA rats. Furthermore, the pro-inflammatory cytokines of TNF-α (19.3%, 60.5% and 73.9%, respectively), IL- 1β (7.9%, 41.1% and 52.7%, respectively) and IL-6 (26.6%, 48.0% and 72.2%, respectively) were remarkably attenuated in serum of all WERA treated rats, however, IL-10 (72.4% and 39.1%, respectively) was markedly increased at doses of 200 and 400 mg/kg of WERA.Conclusion: The results demonstrate that WERA exerts therapeutic effects in collagen--induced arthritis of rats by decreasing the levels of TNF-α, IL-1β, IL-6 and IL-10 in serum, and therefore may be an effective candidate drug for the treatment of human rheumatoid arthritis.Keywords: Rhizoma Arisaematis, Rheumatoid arthritis, Inflammatory, Cytokines, Freund’s complete adjuvan

Effect of Arisaema erubescens (Wall) Schott rhizome extract on rheumatoid arthritis

Purpose: To investigate the anti-arthritic activity of the water extract of Rhizoma Arisaematis (WERA) using a collagen II -induced arthritis (CIA) rat model.Methods: CIA was induced in male Sprague-Dawley rats by intradermal injection of bovine collagen II in Complete Freund’s Adjuvant. The rats were treated with daily oral doses of WERA (100, 200, and 400 mg/kg) for 21 consecutive days. Methotrexate (MTX, 3 mg/kg), used as a positive control, was administered orally 2 times/week for 3 weeks. The severity of arthritis was evaluated using indices of paw swelling, arthritic score, body weight, thymus index, and spleen index. In addition, the serum levels of IL-1β, IL-6, IL-10, and TNF-α were measured.Results: All doses of WERA significantly inhibited paw edema (p &lt; 0.01), decreased arthritis scores (p &lt; 0.01) and spleen index (p &lt; 0.05), and alleviated the weight loss associated with CIA in rats. Furthermore, TNF-α, IL-1β, and IL-6 serum levels were significantly decreased (p &lt; 0.05) by all doses of WERA. By contrast, IL-10 serum levels were markedly increased (p &lt; 0.05).Conclusion: WERA exerts therapeutic effects in CIA in rats by decreasing the serum levels of TNF-α, IL-1β, IL-6 and IL-10, suggesting WERA may be an effective candidate drug for treating human rheumatoid arthritis.Keywords: Rhizoma Arisaematis, Rheumatoid arthritis, Inflammatory, Cytokines, Freund’s complete adjuvan

ARC algorithm: A novel approach to forecast and manage daily electrical maximum demand

This paper proposes an innovative algorithm for predicting short-term electrical maximum demand by using historical demand data. The ability to recognize in peak demand pattern for commercial or industrial customers would propose numerous direct and indirect benefits to the customers and utility providers in terms of demand reduction, cost control, and system stability. Prior works in electrical maximum demand forecasting have been mainly focused on seasonal effects, which is not a feasible approach for industrial manufacturing facilities in short-term load forecasting. The proposed algorithm, denoted as the Adaptive Rate of Change (ARC), determines the logarithmic rate-of-change in load profile prior to a peak by postulating the demand curve as a stochastic, mean-reverting process. The rationale behind this analysis, is that the energy efficient program requires not only demand estimation but also to warn the user of imminent maximum peak occurrence. This paper analyzes demand trend data and incorporates stochastic model and mean reverting half-life to develop an electrical maximum demand forecasting algorithm, which is statistically evaluated by cross-table and F-score for three different manufacturing facilities. The aggregate results show an overall accuracy of 0.91 and a F-score of 0.43, which indicates that the algorithm is effective predicting peak demand in predicting peak demand

Negative entanglement measure for bipartite separable mixed states

We define a negative entanglement measure for separable states which shows that how much entanglement one should compensate the unentangled state at least for changing it into an entangled state. For two-qubit systems and some special classes of states in higher-dimensional systems, the explicit formula and the lower bounds for the negative entanglement measure have been presented, and it always vanishes for bipartite separable pure states. The negative entanglement measure can be used as a useful quantity to describe the entanglement dynamics and the quantum phase transition. In the transverse Ising model, the first derivatives of negative entanglement measure diverge on approaching the critical value of the quantum phase transition, although these two-site reduced density matrices have no entanglement at all. In the 1D Bose-Hubbard model, the NEM as a function of $t/U$ changes from zero to negative on approaching the critical point of quantum phase transition.Comment: 6 pages, 3 figure

N′-[1-(4-Chloro­phen­yl)ethyl­idene]acetohydrazide

In the title compound, C10H11ClN2O, the dihedral angle between the acetohydrazide group and the aromatic ring is 33.76 (9)°. In the crystal, inversion dimers linked by pairs of N—H⋯O hydrogen bonds generate R 2 2(8) loops

In-silico design of novel 4-aminoquinolinyl analogs as potential anti-malaria agents using quantitative structure– activity relationships and ADMET approach

Purpose: To design and screen for potential anti-malaria agents based on a series of 4-aminoquinolinyl analogues.Methods: Molecular fingerprint analysis was used for molecular partitioning of training and test sets. Acquired training sets were used for CoMFA and CoMSIA model construction after good alignment was achieved. Partial least squares analysis combined with external validation were used for&nbsp; model evaluation. Deep analysis of acquired contour maps was performed to summarize the substituent property requirements for further rational molecular design. Using the chosen models, activity prediction and subsequent ADMET investigation were performed to discover novel designed&nbsp; compounds with the desired properties.Results: Three different set partitions for model establishment were obtained using fingerprint-based selection. Partition 02 offered an optimal CoMFA model (r2 = 0.964, q2 = 0.605 and r2pred = 0.6362) and the best CoMSIA model (r2 = 0.955, q2 = 0.585 and r2 pred = 0.6403). Based on contour map analysis, a series of compounds were designed for activity prediction. Two of the compounds (wmx09, wmx25) were chosen for their ideal predicted biological activities. Subsequent ADMET investigation indicated that these compoundss have acceptable drug-like characteristics.Conclusion: The screening reveals that compounds wmx09 and wmx25 have strong potential as antimalaria agents. Keywords: Malaria, 4-Aminoquinolinyl, Molecular fingerprint, QSAR, ADME