Holographic Monopole Catalysis of Baryon Decay

We study how monopole catalysis of baryon decay is realized in holographic QCD. Physics of monopole catalysis becomes much simpler in holographic description as it occurs due to the violation of the Bianchi identity for the 5D gauge symmetry when magnetic monopole is present. In holographic QCD we find a unified picture of the baryon number violation under magnetic monopole or electroweak sphaleron, giving a new mechanism of baryon number violation. We also embed our set-up in the string theory model by Sakai and Sugimoto.Comment: 18 pages, v2: references adde

Meson Mass at Large Baryon Chemical Potential in Dense QCD

We reexamine the quark mass induced term in chiral Lagrangian in color-flavor locking phase in dense QCD, and show that the meson mass term is determined by three independent invariants under chiral-axial symmetry, and a meson mass is given in terms of the quark mass, gap, and the chemical potential by $m_{\pi}^2\sim m_q^2\Delta\bar{\Delta}/\mu^2\ln(\mu^2/\Delta^2)$. Thus mesons become massless as $\mu\to\infty$.Comment: 7 pages, no figures; made antiparticle gap explicit; to appear Phys. Lett.

U(1)_R mediation from the flux compactification in six dimensions

We consider a supersymmetric completion of codimension-two branes with nonzero tension in a 6D gauged supergravity. As a consequence, we obtain the football solution with 4D Minkowski space as a new supersymmetric background that preserves 4D N=1 SUSY. In the presence of brane multiplets, we derive the 4D effective supergravity action for the football background and show that the remaining modulus can be stabilized by a bulk non-perturbative correction with brane uplifting potentials at a zero vacuum energy. We find that the U(1)_R mediation can be a dominant source of SUSY breaking for a brane scalar with nonzero R charge.Comment: 3 pages, no figures, to appear in the proceedings of the 16th International Conference on Supersymmetry and the Unification of Fundamental Interactions (SUSY-2008), Seoul, Korea, 16-21 June, 200

Manifestations of CP Violation in the MSSM Higgs Sector

We demonstrate how CP violation manifests itself in the Higgs sector of the minimal supersymmetric extension of the Standard Model (MSSM). Starting with a brief introduction to CP violation in the MSSM and its effects on the Higgs sector, we discuss some phenomenological aspects of the Higgs sector CP violation based on the two scenarios called CPX and TrimixingComment: Submitted for the SUSY08 proceedings, 6 pages, 9 figures, Fig.6 correcte

Pharmacokinetic and Pharmacodynamic Studies of Tapentadol and its Enhanced Antinociceptive Effect by Flupirtine

Tapentadol (TAP) is a novel centrally acting analgesic that combines two different mechanisms of action, MOR agonist and NE reuptake inhibition. TAP showed lower side effects in humans, as compared to classic opioids. The aim of this study are: i) to assess the pharmacokinetics of tapentadol (TAP) after IV, IM and SC injection in healthy cats; ii) to assess the pharmacokinetics of TAP after IV and IM injection in healthy goats; iii) to evaluate the pharmacokinetic/pharmacodynamics (PK/PD) relationship in turtles, after a single IM injection of TAP; iv) to determine the antinociceptive effect of TAP and flupirtine (FLP) in rats when administered separately or in combination, as well as their synergistic interaction. The dose rate used was 5 mg/kg and the concentrations of TAP in plasma were evaluated using high-performance liquid chromatography. For PD study in turtles, an infrared thermal stimuli was applied to the plantar surface of the turtles’ hind limbs to evaluate the thermal withdrawal latency (TWL). For drug interaction study, the orofacial formalin test was used to assess the synergism between TAP and FLP. The bioavailabilities in cats (IM, 94%; SC, 90%) and goats (IM, 88%) were relatively high. There were large interspecies variations in its half-lives and Tmax between mammals (cats, goats) and reptiles (turtles). TAP showed longer half-life and Tmax in turtles as compared to cats and goats. TAP produced excellent thermal antinociception in turtles. The thermal antinociceptive effect occurred rapidly and lasted as long as 10 hours. A linear relationship (r2 = 0.99) between TAP plasma concentration and effect was found. The combination of TAP and FLP resulted in a synergistic antinociceptive effect. Therefore, this co-administration is considered to enhance the antinociceptive effect of both drugs

Deconstructing Review Deception: A Study on Counterfactual Explanation and XAI in Detecting Fake and GPT-Generated Reviews

Our models not only deliver high-performing predictions but also illuminate the decision-making processes underlying these predictions. By experimenting with five datasets, we have showcased our framework\u27s prowess in generating diverse and specific counterfactuals, thereby enhancing deception detection capabilities and supporting review authenticity assessments. The results demonstrate the significant contribution of our research in furthering the understanding of AI-generated review detection and, more broadly, AI interpretability. Experimentation on five datasets reveals our framework\u27s ability to produce diverse and specific counterfactuals, significantly enriching deception detection capabilities and facilitating the evaluation of review authenticity. Our robust model offers a novel contribution to the understanding of AI applications, marking a significant step forward in both the detection of deceptive reviews and the broader field of AI interpretability

The Effects and Influential Factors of Employee’s Knowledge Integration Capability in the Convergence Environment

Knowledge integration is becoming a primary function of improving organizational capabilities and performance in today’s convergence environment in which the integration of individual knowledge is the source of organizational knowledge creation for new product and service development. This study investigates the influential factors of employee’s knowledge integration capability and its effects. A theoretical research model was developed based on knowledge creation, socio-technical, and information processing perspectives. In particular, the model proposes a positive relationship between the knowledge integration capability of employees and their knowledge creation output. The model also includes organic organizational structure, teamwork quality, expertise, IT support, and knowledge complexity as the influential factors of an employee’s knowledge integration capability. A large-scale survey was conducted for data gathering (a total of 316 samples from 141 organizations) to test the proposed model. The analysis results of the hypotheses test show that expertise and knowledge complexity are the significant influential factors of employee’s knowledge integration capability. In turn, this capability has a positive effect on the knowledge creation output of employees. The results of this study will contribute to the development of initiatives for promoting knowledge integration in the development processes of convergence products and services

Machine Learning-Aided Cooperative Localization under Dense Urban Environment

Future wireless network technology provides automobiles with the connectivity feature to consolidate the concept of vehicular networks that collaborate on conducting cooperative driving tasks. The full potential of connected vehicles, which promises road safety and quality driving experience, can be leveraged if machine learning models guarantee the robustness in performing core functions including localization and controls. Location awareness, in particular, lends itself to the deployment of location-specific services and the improvement of the operation performance. The localization entails direct communication to the network infrastructure, and the resulting centralized positioning solutions readily become intractable as the network scales up. As an alternative to the centralized solutions, this article addresses decentralized principle of vehicular localization reinforced by machine learning techniques in dense urban environments with frequent inaccessibility to reliable measurement. As such, the collaboration of multiple vehicles enhances the positioning performance of machine learning approaches. A virtual testbed is developed to validate this machine learning model for real-map vehicular networks. Numerical results demonstrate universal feasibility of cooperative localization, in particular, for dense urban area configurations