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      • Sources and Impacts of Modeled and Observed Low-Frequency Climate Variability

        Parsons, Luke Alexander ProQuest Dissertations & Theses The University of 2017 해외박사(DDOD)

        RANK : 247359

        Here we analyze climate variability using instrumental, paleoclimate (proxy), and the latest climate model data to understand more about the sources and impacts of low-frequency climate variability. Understanding the drivers of climate variability at interannual to century timescales is important for studies of climate change, including analyses of detection and attribution of climate change impacts. Additionally, correctly modeling the sources and impacts of variability is key to the simulation of abrupt change (Alley et al., 2003) and extended drought (Seager et al., 2005; Pelletier and Turcotte, 1997; Ault et al., 2014). In Appendix A, we employ an Earth system model (GFDL-ESM2M) simulation to study the impacts of a weakening of the Atlantic meridional overturning circulation (AMOC) on the climate of the American Tropics. The AMOC drives some degree of local and global internal low-frequency climate variability (Manabe and Stouffer, 1995; Thornalley et al., 2009) and helps control the position of the tropical rainfall belt (Zhang and Delworth, 2005). We find that a major weakening of the AMOC can cause large-scale temperature, precipitation, and carbon storage changes in Central and South America. Our results suggest that possible future changes in AMOC strength alone will not be sufficient to drive a large-scale dieback of the Amazonian forest, but this key natural ecosystem is sensitive to dry-season length and timing of rainfall (Parsons et al., 2014). In Appendix B, we compare a paleoclimate record of precipitation variability in the Peruvian Amazon to climate model precipitation variability. The paleoclimate (Lake Limon) record indicates that precipitation variability in western Amazonia is 'red' (i.e., increasing variability with timescale). By contrast, most state-of-the-art climate models indicate precipitation variability in this region is nearly 'white' (i.e., equally variability across timescales). This paleo-model disagreement in the overall structure of the variance spectrum has important consequences for the probability of multi-year drought. Our lake record suggests there is a significant background threat of multi-year, and even decade-length, drought in western Amazonia, whereas climate model simulations indicate most droughts likely last no longer than one to three years. These findings suggest climate models may underestimate the future risk of extended drought in this important region. In Appendix C, we expand our analysis of climate variability beyond South America. We use observations, well-constrained tropical paleoclimate, and Earth system model data to examine the overall shape of the climate spectrum across interannual to century frequencies. We find a general agreement among observations and models that temperature variability increases with timescale across most of the globe outside the tropics. However, as compared to paleoclimate records, climate models generate too little low-frequency variability in the tropics (e.g., Laepple and Huybers, 2014). When we compare the shape of the simulated climate spectrum to the spectrum of a simple autoregressive process, we find much of the modeled surface temperature variability in the tropics could be explained by ocean smoothing of weather noise. Importantly, modeled precipitation tends to be similar to white noise across much of the globe. By contrast, paleoclimate records of various types from around the globe indicate that both temperature and precipitation variability should experience much more low-frequency variability than a simple autoregressive or white-noise process. In summary, state-of-the-art climate models generate some degree of dynamically driven low-frequency climate variability, especially at high latitudes. However, the latest climate models, observations, and paleoclimate data provide us with drastically different pictures of the background climate system and its associated risks. This research has important consequences for improving how we simulate climate extremes as we enter a warmer (and often drier) world in the coming centuries; if climate models underestimate low-frequency variability, we will underestimate the risk of future abrupt change and extreme events, such as megadroughts.

      • Strategies for Lexical Acquisition: Efficacy of Blog Based Homework

        Adam Parsons 우송대학교 TESOL-MALL대학원 2011 국내석사

        RANK : 247358

        The purpose of this study was to examine the impact that blog versus workbook homework would have on the lexical acquisition of South Korean Freshman English Conversation students; and to examine students attitudes towards blog work compared to homework. A two group, non-random selection, pre/post test design was implemented to measure and evaluate the lexical gain of students who were required to complete blog work or workbook homework only. Two classes consisting of twenty students each were used in the study. Group one was required to complete blog homework only and group two workbook homework only for the first half of the academic semester. After the post test, group one was required to change to workbook homework only rather than blog work. This was done in order to gauge students’ attitudes towards blog work compared to workbook homework. Group one was also required to complete an attitudinal survey and a follow-up survey to express their feelings towards using a blog for workbook purposes. To test the Socio-Technical Systems Theory, which argues that productivity will decrease if a new type work system is introduced, the number of completed blog homework assignments was compared the number of completed workbook assignments(Trist & Bamforth, 1951). This study will provide insight into the relationship between students and Computer Assisted Language Learning as all new methods of learning involve a change in the socio-technical system.

      • Analytical insights of personal compositions for jazz piano trio

        Parsons, Sean Steven University of Illinois at Urbana-Champaign 2006 해외박사(DDOD)

        RANK : 247343

        This is a comprehensive work that highlights and discusses in detail a number of my compositions for the jazz piano trio. The jazz piano trio has traditionally involved three musicians; piano, bass, and drums or piano, guitar and bass. For the purposes of my dissertation, the compositions were written with the first trio format of piano, bass, and drums. It is my desire to couple traditional classical music forms and theoretical concepts with the jazz style and explain both the general history and the application to my compositions. For the compositions that are not influenced by traditional means, they are composed with their own specific music oriented goal in mind. The following compositions are analyzed and discussed; "Like Thad", a work reminiscent of composer Thad Jones' melodic and rhythmic styles. "Skylines", a 12-tone composition. "When I See Her Again" a composition focusing on text adaptation and metric contrast. The text was composed by Joseph Maffia. "Ethology" a work derived from modal implications designated through slash chords. "Her Name", a sonata-allegro composition which uses blues forms linked by Coltrane changes as the development. "La Tela de Arana" based on 2-3 and 3-2 forms of the clave pattern which also utilizes traditional latin-jazz elements.

      • Regulation of type I collagen in liver fibrosis

        Parsons, Christopher J The University of North Carolina at Chapel Hill 2006 해외박사(DDOD)

        RANK : 247343

        Liver fibrosis is a wound-healing response to various damaging stimuli and is characterized by increased production and accumulation of extracellular matrix (ECM) proteins, of which type I collagen predominates. Activated hepatic stellate cells (HSCs) are the major source of this ECM production. Type I collagen biosynthesis and accumulation is a highly-regulated, multi-faceted process. One such aspect occurs at the post-transcriptional level. The messenger ribonucleic acid (mRNA) of the alpha1(I) collagen chain, a constituent of the type I collagen heterotrimeric protein, contains several regulatory elements in both the 5' and 3' untranslated regions (UTR) which influence message expression and stability. An evolutionarily-conserved stem-loop (SL) structure in the 5' UTR was found to increase alpha1(I) collagen mRNA expression in activated HSCs in vitro. Additionally, the SL may ensure proper message translation and proper protein folding. To further investigate the role of the 5' SL, we generated a "knock-in" mouse line harboring a mutation in the SL sequence. Embryonic fibroblasts isolated from mutant mice expressed lower steady-state levels of alpha1(I) collagen mRNA than wild-type cells. In addition, both intracellular and secreted levels of type I collagen were decreased in mutant cells. Together these data indicate that the SL is involved in regulating both message expression and translation in vivo. Type I collagen is also regulated at the protein level by the proteolytic matrix metalloproteinases (MMPs), which in turn are regulated by the tissue inhibitors of metalloproteinases (TIMPs). During liver fibrosis, TIMP levels, particularly TIMP-1, increase and inhibit MMP-mediated degradation of the ECM; furthermore, TIMP-1 may promote fibrosis by inhibiting apoptosis of activated HSCs. Blocking TIMP-1 function, using a neutralizing antibody against TIMP-1 in a rat model of liver fibrosis, resulted in decreased collagen accumulation and activity of the pro-fibrogenic MMP-2 compared to control livers. These reductions may be attributed to the promotion of HSC apoptosis, as expression of smooth muscle alpha-actin (a biomarker of activated HSCs) was decreased in anti-TIMP-1 livers.

      • Nuclear magnetic resonance methods for the analysis of water diffusion in neural tissue

        Parsons, Edward Cronin, Jr Yale University 2002 해외박사(DDOD)

        RANK : 247343

        This thesis reviews the development of methods for analyzing microscopic water motion in mammalian neural tissues using Magnetic Resonance Imaging (MRI). The clinically relevant mechanism for the change in Apparent Diffusion Coefficient (ADC) in brain and nerve is explored with Nuclear Magnetic Resonance (NMR) measurements and analyzed in terms of geometric tissue parameters. The standard Pulsed Gradient Spin Echo (PGSE) technique for MR diffusion measurement is applied to investigate the mechanism of ADC change observed during electrical activity in neural tissue, and to explore the displacement spectrum of water in such tissue in normal and ischemic states. Oscillating gradient methods are applied with the goal of extending downward the technically feasible time scale of such diffusion-displacement spectrum measurements. The oscillating gradient scheme is generalized to facilitate, for the first time, true temporal diffusion spectroscopy. Temporal diffusion spectra are measured in well-characterized samples of water in packed microspheres, and the extraction of geometric parameters from spectral data is calibrated. The methodology is then applied to brain and nerve tissue. The extension of these methods to the discernment of various diffusion and pseudo-diffusive flow phenomena is discussed.

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