4,399 research outputs found

    sj-jpg1-onc-10.1177_11795549221109500 – Supplemental material for Bone-Related Extramedullary Disease in Newly Diagnosed Myeloma Patients is an Independent Poor Prognostic Predictor

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    Supplemental material, sj-jpg1-onc-10.1177_11795549221109500 for Bone-Related Extramedullary Disease in Newly Diagnosed Myeloma Patients is an Independent Poor Prognostic Predictor by Ying Wang, Aijun Liu, Tingting Xu, Jiahui Yin and Wenming Chen in Clinical Medicine Insights: Oncology</p

    sj-docx-1-tct-10.1177_15330338211045510 - Supplemental material for Centromere Protein I (CENP-I) Is Upregulated in Gastric Cancer, Predicts Poor Prognosis, and Promotes Tumor Cell Proliferation and Migration

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    Supplemental material, sj-docx-1-tct-10.1177_15330338211045510 for Centromere Protein I (CENP-I) Is Upregulated in Gastric Cancer, Predicts Poor Prognosis, and Promotes Tumor Cell Proliferation and Migration by Jiahui Wang, Xin Liu, Hong-jin Chu, Ning Li, Liu-ye Huang and Jian Chen in Technology in Cancer Research & Treatment</p

    Unveiling Stimulation Secrets of Electrical Excitation of Neural Tissue Using a Circuit Probability Theory

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    Electrical excitation of neural tissue has wide applications, but how electrical stimulation interacts with neural tissue remains to be elucidated. Here, we propose a new theory, named the Circuit-Probability theory, to reveal how this physical interaction happen. The relation between the electrical stimulation input and the neural response can be theoretically calculated. We show that many empirical models, including strength-duration relationship and linear-non-linear-Poisson model, can be theoretically explained, derived, and amended using our theory. Furthermore, this theory can explain the complex non-linear and resonant phenomena and fit in vivo experiment data. In this letter, we validated an entirely new framework to study electrical stimulation on neural tissue, which is to simulate voltage waveforms using a parallel RLC circuit first, and then calculate the excitation probability stochastically. © Copyright © 2020 Wang, Wang, Thow, Lee, Peh, Ng, He, Thakor and Lee.1

    Transformational leadership and teachers’ voice behaviour: A moderated mediation model of group voice climate and team psychological safety

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    Teachers’ voice behaviour has attracted growing attention in universities due to its positive outcomes for institutional reform and improvement. This study investigated how and under what conditions university leaders’ transformational leadership is beneficial to teachers’ voice behaviour using data collected from 434 teachers from universities in China. As a result, we proposed a moderated mediation model of the association between transformational leadership and teachers’ voice behaviour in which group voice climate was used as the mediator and team psychological safety as the moderator. The results revealed evidence of an indirect effect of transformational leadership on teachers’ voice behaviour through the significant mediating role of group voice climate. Moreover, we found evidence that team psychological safety acts as a significant moderator of group voice climate and teachers’ voice behaviour and strengthens the effect of the entire mediating mechanism. Specifically, the mediation effect of group voice climate was significant when team psychological safety levels were at medium or high rather than low levels. Our findings provide a deeper understanding of the benefits and effective mechanism of the impact of transformational leadership on teachers’ voice behaviour in the Chinese university context and offer practical suggestions for facilitating teachers’ voice behaviour in institutions

    Spin fluctuations in the dissipative phase transitions of the quantum Rabi model

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    We investigate the dissipative phase transitions of the anisotropic quantum Rabi model with cavity decay and demonstrate that large spin fluctuations persist in the stationary state, having important consequences on the phase diagram and the critical properties. In the second-order phase transition to the superradiant phase, there is a significant suppression of the order parameter and the appearance of nonuniversal factors, which directly reflect the spin populations. Furthermore, upon entering a parameter regime where mean-field theory predicts a tricritical phase, we find a first-order phase transition due to the unexpected collapse of superradiance. An accurate and physically transparent description going beyond mean-field theory is established by combining exact numerical simulations, the cumulant expansion, and analytical approximations based on reduced master equations and an effective equilibrium theory. Our findings, compared to the conventional thermodynamic limit of the Dicke model, indicate a general tendency of forming extreme nonequilibrium states in the single-spin system, thus have broad implications for dissipative phase transitions of few-body systems

    Modeling financial time series with S-plus

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    The field of financial econometrics has exploded over the last decade This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics This is the first book to show the power of S-PLUS for the analysis of time series data It is written for researchers and practitioners in the finance industry, academic researchers in economics and finance, and advanced MBA and graduate students in economics and finance Readers are assumed to have a basic knowledge of S-PLUS and a solid grounding in basic statistics and time series concepts Eric Zivot is an associate professor and Gary Waterman Distinguished Scholar in the Economics Department at the University of Washington, and is co-director of the nascent Professional Master's Program in Computational Finance He regularly teaches courses on econometric theory, financial econometrics and time series econometrics, and is the recipient of the Henry T Buechel Award for Outstanding Teaching He is an associate editor of the Journal of Business and Economic Statistics and Studies in Nonlinear Dynamics and Econometrics He has published papers in the leading econometrics journals, including Econometrica, Econometric Theory, the Journal of Business and Economic Statistics, Journal of Econometrics, and the Review of Economics and Statistics Jiahui Wang is a Research Scientist at Insightful Corporation He received a PhD in Economics from the university of Washington in 1997 He has published in leading econometrics journals such as Econometrica and Journal of Business and Economic Statistics, and is the Principal Investigator of National Science Foundation SBIR grants In 2002 Dr Wang was selected as one of the "2000 Outstanding Scholars of the 21st Century" by International Biographical Centr

    A Symplectic Numerical Power Flow Framework Based on Wave Finite-Element Method for Assembled Structural Systems

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    Identifying the propagation paths of dominant wave modes in complex assembled structure is critical for implementing wave-based vibration and noise control strategies, such as phononic band gaps. This paper presents a symplectic numerical framework to compute the wave-mode power flow in engineering assembled structures based on wave finite element method (WFEM). The power orthogonality among wave modes is explicitly formulated through the symplectic orthogonality (SO) and its adjoint form (SAO), and this formulation is further extended to the Zhong-Williams and lambda(phi) symplectic schemes. The generalized symplectic adjoint orthogonality (GSAO) and phi_SAO are subsequently proposed, providing a physically consistent basis for modal diagonalization and coherent wave propagation within the generalized symplectic eigenspace. These developments enable direct computation of the forced response and power flow entirely within the symplectic space, without reverting to the wave space. Six power-flow formulations are systematically compared and shown to yield consistent results on both beam and cylindrical shell structures. An electric motor housing is used as a case study, in which the proposed approach establishes a wave-mode power flow network. It is noted that the power-flow formulation relies on symplectic orthogonality defined for conservative WFEM systems and therefore cannot be directly applied to non-Hermitian systems
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