The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform

Melissa A Snyder - One of the best experts on this subject based on the ideXlab platform.

  • nmda hypofunction as a Convergence Point for progression and symptoms of schizophrenia
    Frontiers in Cellular Neuroscience, 2013
    Co-Authors: Melissa A Snyder
    Abstract:

    Schizophrenia is a disabling mental illness that is now recognized as a neurodevelopmental disorder. It is likely that genetic risk factors interact with environmental perturbations to affect normal brain development and that this altered trajectory results in a combination of positive, negative, and cognitive symptoms. Although the exact pathophysiology of schizophrenia is unknown, the N-methyl-D-aspartate receptor (NMDAR), a major glutamate receptor subtype, has received great attention. Proper expression and regulation of NMDARs in the brain is critical for learning and memory processes as well as cortical plasticity and maturation. Evidence from both animal models and human studies implicates a dysfunction of NMDARs both in disease progression and symptoms of schizophrenia. Furthermore, mutations in many of the known genetic risk factors for schizophrenia suggest that NMDAR hypofunction is a Convergence Point for schizophrenia. In this review, we discuss how disrupted NMDAR function leads to altered neurodevelopment that may contribute to the progression and development of symptoms for schizophrenia, particularly cognitive deficits. We review the shared signaling pathways among the schizophrenia susceptibility genes DISC1, neuregulin1, and dysbindin, focusing on the AKT/GSK3β pathway, and how their mutations and interactions can lead to NMDAR dysfunction during development. Additionally, we explore what open questions remain and suggest where schizophrenia research needs to move in order to provide mechanistic insight into the cause of NMDAR dysfunction, as well as generate possible new avenues for therapeutic intervention.

V.l. Stonick - One of the best experts on this subject based on the ideXlab platform.

  • Convergence, Convergence Point and Convergence rate for Steiglitz-McBride method; a unified approach
    Proceedings of ICASSP '94. IEEE International Conference on Acoustics Speech and Signal Processing, 1994
    Co-Authors: M.-h. Cheng, V.l. Stonick
    Abstract:

    This paper presents a unified approach to analyze the Convergence properties of Steiglitz-McBride(1966) method (SMM) in general environments. SMM is formulated as a successive substitution equation. Using results from fixed Point theory enables a unified analysis of SMM in both white and colored noise, and sufficient and insufficient order cases. This analysis provides us with several new results. Specifically, for sufficient order filters in white noise environments, the Convergence rate of SMM can be predicted by the signal-power to noise-power ratio (SNR) at plant output. For sufficient order filters in colored noise, SMM may diverge or converge depending on the initial estimate and SNR at plant output. If SMM converges, the Convergence Point is near the unbiased solution. SNR again determines the bias magnitude. For insufficient order filters, in addition to the possible multiple Convergence Points, we also demonstrate the existence of diverging fixed Points of SMM. These diverging fixed Points can be used to separate the Convergence region, and identify the Convergence Points for each initial estimate.

  • ICASSP (3) - Convergence, Convergence Point and Convergence rate for Steiglitz-McBride method; a unified approach
    Proceedings of ICASSP '94. IEEE International Conference on Acoustics Speech and Signal Processing, 1994
    Co-Authors: M.-h. Cheng, V.l. Stonick
    Abstract:

    This paper presents a unified approach to analyze the Convergence properties of Steiglitz-McBride(1966) method (SMM) in general environments. SMM is formulated as a successive substitution equation. Using results from fixed Point theory enables a unified analysis of SMM in both white and colored noise, and sufficient and insufficient order cases. This analysis provides us with several new results. Specifically, for sufficient order filters in white noise environments, the Convergence rate of SMM can be predicted by the signal-power to noise-power ratio (SNR) at plant output. For sufficient order filters in colored noise, SMM may diverge or converge depending on the initial estimate and SNR at plant output. If SMM converges, the Convergence Point is near the unbiased solution. SNR again determines the bias magnitude. For insufficient order filters, in addition to the possible multiple Convergence Points, we also demonstrate the existence of diverging fixed Points of SMM. These diverging fixed Points can be used to separate the Convergence region, and identify the Convergence Points for each initial estimate. >

Guoliang Wang - One of the best experts on this subject based on the ideXlab platform.

  • the u box e3 ligase spl11 pub13 is a Convergence Point of defense and flowering signaling in plants
    Plant Physiology, 2012
    Co-Authors: Wei Li, Yuese Ning, Gautam Shirsekar, Xuli Wang, Zhilong Wang, Guoliang Wang
    Abstract:

    Plants use the ubiquitin-proteasome system (UPS) to regulate nearly every aspect of growth and development and to respond to abiotic and biotic stresses. Among the three major enzymes involved in the UPS, E3 ligases determine substrate specificity and actively participate in many biological processes in plants. Emerging evidence shows that some E3 ligases have multiple functions and serve as a connection node in plant signaling. Here, we review the dual functions of the U-box and armadillo (ARM) repeat domain E3 ligase SPL11 in rice and of its ortholog PUB13 in Arabidopsis in modulating innate immunity and flowering. Both SPL11 and PUB13 negatively regulate programmed cell death (PCD) and defense. Intriguingly, SPL11 promotes flowering under long-day (LD) conditions in rice while PUB13 suppresses flowering under LD conditions in Arabidopsis. SPL11 regulates defense through a putative GAP protein and regulates flowering through an RNA-binding protein. PUB13 modulates defense through FLS2 and may control flowering through HFR1. Moreover, PUB13-mediated defense and flowering depend on the plant hormone salicylic acid (SA). The similar functions of SPL11 and PUB13, and the complementation of the pub13 cell death and flowering phenotypes by Spl11 indicate that Spl11/PUB13 is an ancient, functionally conserved locus in monocot and dicot plants. In the process of speciation, the downstream signaling components have, however, diversified in these two species. We conclude by proposing working models of how SPL11 and PUB13 and their associated proteins modulate both defense and flowering in monocot and dicot plants.

  • The U-box E3 Ligase SPL11/PUB13 Is a Convergence Point of Defense and Flowering Signaling in Plants
    Plant Physiology, 2012
    Co-Authors: Wei Li, Yuese Ning, Gautam Shirsekar, Xuli Wang, Zhilong Wang, Guoliang Wang
    Abstract:

    Plants use the ubiquitin-proteasome system (UPS) to regulate nearly every aspect of growth and development and to respond to abiotic and biotic stresses. Among the three major enzymes involved in the UPS, E3 ligases determine substrate specificity and actively participate in many biological processes in plants. Emerging evidence shows that some E3 ligases have multiple functions and serve as a connection node in plant signaling. Here, we review the dual functions of the U-box and armadillo (ARM) repeat domain E3 ligase SPL11 in rice and of its ortholog PUB13 in Arabidopsis in modulating innate immunity and flowering. Both SPL11 and PUB13 negatively regulate programmed cell death (PCD) and defense. Intriguingly, SPL11 promotes flowering under long-day (LD) conditions in rice while PUB13 suppresses flowering under LD conditions in Arabidopsis. SPL11 regulates defense through a putative GAP protein and regulates flowering through an RNA-binding protein. PUB13 modulates defense through FLS2 and may control flowering through HFR1. Moreover, PUB13-mediated defense and flowering depend on the plant hormone salicylic acid (SA). The similar functions of SPL11 and PUB13, and the complementation of the pub13 cell death and flowering phenotypes by Spl11 indicate that Spl11/PUB13 is an ancient, functionally conserved locus in monocot and dicot plants. In the process of speciation, the downstream signaling components have, however, diversified in these two species. We conclude by proposing working models of how SPL11 and PUB13 and their associated proteins modulate both defense and flowering in monocot and dicot plants.

Takeo Minari - One of the best experts on this subject based on the ideXlab platform.

  • Erratum: “Evaluating injection and transport properties of organic field-effect transistors by the Convergence Point in transfer-length method” [Appl. Phys. Lett. 104, 013301 (2014)]
    Applied Physics Letters, 2014
    Co-Authors: Yong Xu, Xubing Lu, Gerard Ghibaudo, Takeo Minari
    Abstract:

    Chuan Liu, Yong Xu, Gerard Ghibaudo, Xubing Lu, Takeo Minari, and Yong-Young Noh Citation: Applied Physics Letters 104, 079902 (2014); doi: 10.1063/1.4866287 View online: http://dx.doi.org/10.1063/1.4866287 View Table of Contents: http://scitation.aip.org/content/aip/journal/apl/104/7?ver=pdfcov Published by the AIP Publishing Articles you may be interested in Evaluating injection and transport properties of organic field-effect transistors by the Convergence Point intransfer-length method Appl. Phys. Lett. 104, 013301 (2014); 10.1063/1.4860958 Erratum: “Influence of dielectric-dependent interfacial widths on device performance in top-gate P(NDI2OD-T2)field-effect transistors” [Appl. Phys. Lett.101, 093308 (2012)] Appl. Phys. Lett. 101, 179901 (2012); 10.1063/1.4762831 Erratum: “Poly(3-hexylthiophene) crystalline nanoribbon network for organic field effect transistors” [Appl. Phys.Lett.96, 243304 (2010)] Appl. Phys. Lett. 97, 189902 (2010); 10.1063/1.3512957 Comment on “Depletion width measurement in an organic Schottky contact using a metal-semiconductor field-effect transistor” [Appl. Phys. Lett.91, 083513 (2007)] Appl. Phys. Lett. 97, 096101 (2010); 10.1063/1.3475395 Erratum: “Electronic transport characteristics of electrolyte-gated conducting polyaniline nanowire field-effecttransistors” [Appl. Phys. Lett.95, 013113 (2009)] Appl. Phys. Lett. 95, 079901 (2009); 10.1063/1.3213393

  • evaluating injection and transport properties of organic field effect transistors by the Convergence Point in transfer length method
    Applied Physics Letters, 2014
    Co-Authors: Yong Xu, G Ghibaudo, Xubing Lu, Takeo Minari
    Abstract:

    Contact resistance (RC), which dominates the performance of organic field-effect transistors (OFETs), relates multiple factors such as charge injection, transport, and device architecture. Here, we focus on physical meaning of the Convergence Point in conventional transfer-length method, and clarify the correlation between charge injection and geometrical parameters of OFETs by simulations. We also defined the effect of band-like/hopping transport in semiconductor on the charge injection process, where less hopping transport results in lower and less gate-voltage dependent RC. These results were confirmed by experiments on pentacene OFETs and reveal the values of Convergence Point in OFET research.

M.-h. Cheng - One of the best experts on this subject based on the ideXlab platform.

  • Convergence, Convergence Point and Convergence rate for Steiglitz-McBride method; a unified approach
    Proceedings of ICASSP '94. IEEE International Conference on Acoustics Speech and Signal Processing, 1994
    Co-Authors: M.-h. Cheng, V.l. Stonick
    Abstract:

    This paper presents a unified approach to analyze the Convergence properties of Steiglitz-McBride(1966) method (SMM) in general environments. SMM is formulated as a successive substitution equation. Using results from fixed Point theory enables a unified analysis of SMM in both white and colored noise, and sufficient and insufficient order cases. This analysis provides us with several new results. Specifically, for sufficient order filters in white noise environments, the Convergence rate of SMM can be predicted by the signal-power to noise-power ratio (SNR) at plant output. For sufficient order filters in colored noise, SMM may diverge or converge depending on the initial estimate and SNR at plant output. If SMM converges, the Convergence Point is near the unbiased solution. SNR again determines the bias magnitude. For insufficient order filters, in addition to the possible multiple Convergence Points, we also demonstrate the existence of diverging fixed Points of SMM. These diverging fixed Points can be used to separate the Convergence region, and identify the Convergence Points for each initial estimate.

  • ICASSP (3) - Convergence, Convergence Point and Convergence rate for Steiglitz-McBride method; a unified approach
    Proceedings of ICASSP '94. IEEE International Conference on Acoustics Speech and Signal Processing, 1994
    Co-Authors: M.-h. Cheng, V.l. Stonick
    Abstract:

    This paper presents a unified approach to analyze the Convergence properties of Steiglitz-McBride(1966) method (SMM) in general environments. SMM is formulated as a successive substitution equation. Using results from fixed Point theory enables a unified analysis of SMM in both white and colored noise, and sufficient and insufficient order cases. This analysis provides us with several new results. Specifically, for sufficient order filters in white noise environments, the Convergence rate of SMM can be predicted by the signal-power to noise-power ratio (SNR) at plant output. For sufficient order filters in colored noise, SMM may diverge or converge depending on the initial estimate and SNR at plant output. If SMM converges, the Convergence Point is near the unbiased solution. SNR again determines the bias magnitude. For insufficient order filters, in addition to the possible multiple Convergence Points, we also demonstrate the existence of diverging fixed Points of SMM. These diverging fixed Points can be used to separate the Convergence region, and identify the Convergence Points for each initial estimate. >