955 resultados para High frequency


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We study a resistively shunted semiconductor superlattice subject to a high-frequency electric field. Using a balance equation approach that incorporates the influence of the electric circuit, we determine numerically a range of amplitude and frequency of the ac field for which a dc bias and current are generated spontaneously and show that this region is likely accessible to current experiments. Our simulations reveal that the Bloch frequency corresponding to the spontaneous dc bias is approximately an integer multiple of the ac field frequency.

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A neural model of peripheral auditory processing is described and used to separate features of coarticulated vowels and consonants. After preprocessing of speech via a filterbank, the model splits into two parallel channels, a sustained channel and a transient channel. The sustained channel is sensitive to relatively stable parts of the speech waveform, notably synchronous properties of the vocalic portion of the stimulus it extends the dynamic range of eighth nerve filters using coincidence deteectors that combine operations of raising to a power, rectification, delay, multiplication, time averaging, and preemphasis. The transient channel is sensitive to critical features at the onsets and offsets of speech segments. It is built up from fast excitatory neurons that are modulated by slow inhibitory interneurons. These units are combined over high frequency and low frequency ranges using operations of rectification, normalization, multiplicative gating, and opponent processing. Detectors sensitive to frication and to onset or offset of stop consonants and vowels are described. Model properties are characterized by mathematical analysis and computer simulations. Neural analogs of model cells in the cochlear nucleus and inferior colliculus are noted, as are psychophysical data about perception of CV syllables that may be explained by the sustained transient channel hypothesis. The proposed sustained and transient processing seems to be an auditory analog of the sustained and transient processing that is known to occur in vision.

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In this paper, the embedded capacitance material (ECM) is fabricated between the power and ground layers of the wireless sensor nodes, forming an integrated capacitance to replace the large amount of decoupling capacitors on the board. The ECM material, whose dielectric constant is 16, has the same size of the wireless sensor nodes of 3cm*3cm, with a thickness of only 14μm. Though the capacitance of a single ECM layer being only around 8nF, there are two reasons the ECM layers can still replace the high frequency decoupling capacitors (100nF in our case) on the board. The first reason is: the parasitic inductance of the ECM layer is much lower than the surface mount capacitors'. A smaller capacitance value of the ECM layer could achieve the same resonant frequency of the surface mount decoupling capacitors. Simulation and measurement fit this assumption well. The second reason is: more than one layer of ECM material are utilized during the design step to get a parallel connection of the several ECM capacitance layers, finally leading to a larger value of the capacitance and smaller value of parasitic. Characterization of the ECM is carried out by the LCR meter. To evaluate the behaviors of the ECM layer, time and frequency domain measurements are performed on the power-bus decoupling of the wireless sensor nodes. Comparison with the measurements of bare PCB board and decoupling capacitors solution are provided to show the improvement of the ECM layer. Measurements show that the implementation of the ECM layer can not only save the space of the surface mount decoupling capacitors, but also provide better power-bus decoupling to the nodes.

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This thesis is concerned with inductive charging of electric vehicle batteries. Rectified power form the 50/60 Hz utility feeds a dc-ac converter which delivers high-frequency ac power to the electric vehicle inductive coupling inlet. The inlet configuration has been defined by the Society of Automotive Engineers in Recommended Practice J-1773. This thesis studies converter topologies related to the series resonant converter. When coupled to the vehicle inlet, the frequency-controlled series-resonant converter results in a capacitively-filtered series-parallel LCLC (SP-LCLC) resonant converter topology with zero voltage switching and many other desirable features. A novel time-domain transformation analysis, termed Modal Analysis, is developed, using a state variable transformation, to analyze and characterize this multi-resonant fourth-orderconverter. Next, Fundamental Mode Approximation (FMA) Analysis, based on a voltage-source model of the load, and its novel extension, Rectifier-Compensated FMA (RCFMA) Analysis, are developed and applied to the SP-LCLC converter. The RCFMA Analysis is a simpler and more intuitive analysis than the Modal Analysis, and provides a relatively accurate closed-form solution for the converter behavior. Phase control of the SP-LCLC converter is investigated as a control option. FMA and RCFMA Analyses are used for detailed characterization. The analyses identify areas of operation, which are also validated experimentally, where it is advantageous to phase control the converter. A novel hybrid control scheme is proposed which integrates frequency and phase control and achieves reduced operating frequency range and improved partial-load efficiency. The phase-controlled SP-LCLC converter can also be configured with a parallel load and is an excellent option for the application. The resulting topology implements soft-switching over the entire load range and has high full-load and partial-load efficiencies. RCFMA Analysis is used to analyze and characterize the new converter topology, and good correlation is shown with experimental results. Finally, a novel single-stage power-factor-corrected ac-dc converter is introduced, which uses the current-source characteristic of the SP-LCLC topology to provide power factor correction over a wide output power range from zero to full load. This converter exhibits all the advantageous characteristics of its dc-dc counterpart, with a reduced parts count and cost. Simulation and experimental results verify the operation of the new converter.

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With the swamping and timeliness of data in the organizational context, the decision maker’s choice of an appropriate decision alternative in a given situation is defied. In particular, operational actors are facing the challenge to meet business-critical decisions in a short time and at high frequency. The construct of Situation Awareness (SA) has been established in cognitive psychology as a valid basis for understanding the behavior and decision making of human beings in complex and dynamic systems. SA gives decision makers the possibility to make informed, time-critical decisions and thereby improve the performance of the respective business process. This research paper leverages SA as starting point for a design science project for Operational Business Intelligence and Analytics systems and suggests a first version of design principles.

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One hundred and sixteen women with measurable metastatic breast cancer participated in a randomised phase II study of single agent liposomal pegylated doxorubicin (Caelyx) given either as a 60 mg/m2 every 6 weeks (ARM A) or 50 mg/m2 every 4 weeks (ARM B) schedule. Patients were over 65 years of age or, if younger, had refused or been unsuitable for standard anthracyclines. The aims of the study were to evaluate toxicity and dose delivery with the two schedules and obtain further information on the response rate of liposomal pegylated doxorubicin as a single agent in anthracycline nai ve advanced breast cancer. Twenty-six patients had received prior adjuvant chemotherapy (including an anthracycline in 10). Sixteen had received non-anthracycline-based first-line chemotherapy for advanced disease. One hundred and eleven patients were evaluable for toxicity and 106 for response. The delivered dose intensity (DI) was 9.8 mg/m2 (95% CI, 7.2-10.4) with 37 (69%) achieving a DI of >90% on ARM A and 11.9 mg/m2 (95% CI, 7.5-12.8) with 37 (65%) achieving a DI of >90% on ARM B. The adverse event profiles of the two schedules were distinctly different. Mucositis was more common with the every 6 weeks regimen (35% CTC grade 3/4 in ARM A, 14% in ARM B) but palmar plantar erythrodysesthesia (PPE) was more frequent with the every 4 weeks regimen (2% CTC grade 3/4 in ARM A, 16% in ARM B). Confirmed objective partial responses by RECIST criteria were seen with both schedules; 15/51 (29%) on ARM A and 17/56 (31%) on ARM B. Liposomal pegylated doxorubicin showed significant activity in advanced breast cancer with a generally favourable side-effect profile. The high frequency of stomatitis seen with 6 weekly treatment makes this the less preferred of the two schedules tested.

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The highly polymorphic fourth component of human complement (C4) is usually encoded by two genes, C4A and C4B, adjacent to the 21-hydroxylase (21-OH) genes and is also remarkable by the high frequency of the null alleles, C4A*Q0 and C4B*Q0. Complete C4 deficiency is exceptional because this condition appears only in homozygotes for the very rare double-null haplotype C4AQ0,BQ0. This condition in most cases gives rise to systemic lupus erythematosus and an increased susceptibility to infections. The molecular basis for complete C4 deficiency has not yet been established. Therefore we studied the DNA of three previously described C4 deficient patients belonging to unrelated families by restriction fragment length polymorphism analysis using C4 and 21-OH probes. These studies revealed a deletion of the C4B and 21-OHA genes in two patients and no deletion at all in the third patient. Therefore, complete C4 deficiency as a result of homozygosity for the C4AQ0, BQ0 haplotype is not a consequence of a deletion of the C4 genes. The molecular basis of this genetic abnormality is certainly very complex and may vary also from one case to another.

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We exploit the distributional information contained in high-frequency intraday data in constructing a simple conditional moment estimator for stochastic volatility diffusions. The estimator is based on the analytical solutions of the first two conditional moments for the latent integrated volatility, the realization of which is effectively approximated by the sum of the squared high-frequency increments of the process. Our simulation evidence indicates that the resulting GMM estimator is highly reliable and accurate. Our empirical implementation based on high-frequency five-minute foreign exchange returns suggests the presence of multiple latent stochastic volatility factors and possible jumps. © 2002 Elsevier Science B.V. All rights reserved.

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We investigate transport properties of molecular junctions under two types of bias--a short time pulse or an ac bias--by combining a solution for Green's functions in the time domain with electronic structure information coming from ab initio density functional calculations. We find that the short time response depends on lead structure, bias voltage, and barrier heights both at the molecule-lead contacts and within molecules. Under a low frequency ac bias, the electron flow either tracks or leads the bias signal (resistive or capacitive response) depending on whether the junction is perfectly conducting or not. For high frequency, the current lags the bias signal due to the kinetic inductance. The transition frequency is an intrinsic property of the junctions.

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Ultrafast UV-vibrational spectroscopy was used to investigate how vibrational excitation of the bridge changes photoinduced electron transfer between donor (dimethylaniline) and acceptor (anthracene) moieties bridged by a guanosine-cytidine base pair (GC). The charge-separated (CS) state yield is found to be lowered by high-frequency bridge mode excitation. The effect is linked to a dynamic modulation of the donor-acceptor coupling interaction by weakening of H-bonding and/or by disruption of the bridging base-pair planarity.

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BACKGROUND: With the globalization of clinical trials, a growing emphasis has been placed on the standardization of the workflow in order to ensure the reproducibility and reliability of the overall trial. Despite the importance of workflow evaluation, to our knowledge no previous studies have attempted to adapt existing modeling languages to standardize the representation of clinical trials. Unified Modeling Language (UML) is a computational language that can be used to model operational workflow, and a UML profile can be developed to standardize UML models within a given domain. This paper's objective is to develop a UML profile to extend the UML Activity Diagram schema into the clinical trials domain, defining a standard representation for clinical trial workflow diagrams in UML. METHODS: Two Brazilian clinical trial sites in rheumatology and oncology were examined to model their workflow and collect time-motion data. UML modeling was conducted in Eclipse, and a UML profile was developed to incorporate information used in discrete event simulation software. RESULTS: Ethnographic observation revealed bottlenecks in workflow: these included tasks requiring full commitment of CRCs, transferring notes from paper to computers, deviations from standard operating procedures, and conflicts between different IT systems. Time-motion analysis revealed that nurses' activities took up the most time in the workflow and contained a high frequency of shorter duration activities. Administrative assistants performed more activities near the beginning and end of the workflow. Overall, clinical trial tasks had a greater frequency than clinic routines or other general activities. CONCLUSIONS: This paper describes a method for modeling clinical trial workflow in UML and standardizing these workflow diagrams through a UML profile. In the increasingly global environment of clinical trials, the standardization of workflow modeling is a necessary precursor to conducting a comparative analysis of international clinical trials workflows.

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BACKGROUND: West Virginia has the worst oral health in the United States, but the reasons for this are unclear. This pilot study explored the etiology of this disparity using culture-independent analyses to identify bacterial species associated with oral disease. METHODS: Bacteria in subgingival plaque samples from twelve participants in two independent West Virginia dental-related studies were characterized using 16S rRNA gene sequencing and Human Oral Microbe Identification Microarray (HOMIM) analysis. Unifrac analysis was used to characterize phylogenetic differences between bacterial communities obtained from plaque of participants with low or high oral disease, which was further evaluated using clustering and Principal Coordinate Analysis. RESULTS: Statistically different bacterial signatures (P<0.001) were identified in subgingival plaque of individuals with low or high oral disease in West Virginia based on 16S rRNA gene sequencing. Low disease contained a high frequency of Veillonella and Streptococcus, with a moderate number of Capnocytophaga. High disease exhibited substantially increased bacterial diversity and included a large proportion of Clostridiales cluster bacteria (Selenomonas, Eubacterium, Dialister). Phylogenetic trees constructed using 16S rRNA gene sequencing revealed that Clostridiales were repeated colonizers in plaque associated with high oral disease, providing evidence that the oral environment is somehow influencing the bacterial signature linked to disease. CONCLUSIONS: Culture-independent analyses identified an atypical bacterial signature associated with high oral disease in West Virginians and provided evidence that the oral environment influenced this signature. Both findings provide insight into the etiology of the oral disparity in West Virginia.

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The humoral immune system plays a critical role in the clearance of numerous pathogens. In the setting of HIV-1 infection, the virus infects, integrates its genome into the host's cells, replicates, and establishes a reservoir of virus-infected cells. The initial antibody response to HIV-1 infection is targeted to non-neutralizing epitopes on HIV-1 Env gp41, and when a neutralizing response does develop months after transmission, it is specific for the autologous founder virus and the virus escapes rapidly. After continuous waves of antibody mediated neutralization and viral escape, a small subset of infected individuals eventually develop broad and potent heterologous neutralizing antibodies years after infection. In this dissertation, I have studied the ontogeny of mucosal and systemic antibody responses to HIV-1 infection by means of three distinct aims: 1. Determine the origin of the initial antibody response to HIV-1 infection. 2. Characterize the role of restricted VH and VL gene segment usage in shaping the antibody response to HIV-1 infection. 3. Determine the role of persistence of B cell clonal lineages in shaping the mutation frequencies of HIV-1 reactive antibodies.

After the introduction (Chapter 1) and methods (Chapter 2), Chapter 3 of this dissertation describes a study of the antibody response of terminal ileum B cells to HIV-1 envelope (Env) in early and chronic HIV-1 infection and provides evidence for the role of environmental antigens in shaping the repertoire of B cells that respond to HIV-1 infection. Previous work by Liao et al. demonstrated that the initial plasma cell response in the blood to acute HIV-1 infection is to gp41 and is derived from a polyreactive memory B cell pool. Many of these antibodies cross-reacted with commensal bacteria, Therefore, in Chapter 3, the relationship of intestinal B cell reactivity with commensal bacteria to HIV-1 infection-induced antibody response was probed using single B cell sorting, reverse transcription and nested polymerase chain reaction (RT- PCR) methods, and recombinant antibody technology. The dominant B cell response in the terminal ileum was to HIV-1 envelope (Env) gp41, and 82% of gp41- reactive antibodies cross-reacted with commensal bacteria whole cell lysates. Pyrosequencing of blood B cells revealed HIV-1 antibody clonal lineages shared between ileum and blood. Mutated IgG antibodies cross-reactive with both Env gp41 and commensal bacteria could also be isolated from the terminal ileum of HIV-1 uninfected individuals. Thus, the antibody response to HIV-1 can be shaped by intestinal B cells stimulated by commensal bacteria prior to HIV-1 infection to develop a pre-infection pool of memory B cells cross-reactive with HIV-1 gp41.

Chapter 4 details the study of restricted VH and VL gene segment usage for gp41 and gp120 antibody induction following acute HIV-1 infection; mutations in gp41 lead to virus enhanced neutralization sensitivity. The B cell repertoire of antibodies induced in a HIV-1 infected African individual, CAP206, who developed broadly neutralizing antibodies (bnAbs) directed to the HIV-1 envelope gp41 membrane proximal external region (MPER), is characterized. Understanding the selection of virus mutants by neutralizing antibodies is critical to understanding the role of antibodies in control of HIV-1 replication and prevention from HIV-1 infection. Previously, an MPER neutralizing antibody, CAP206-CH12, with the binding footprint identical to that of MPER broadly neutralizing antibody 4E10, that like 4E10 utilized the VH1-69 and VK3-20 variable gene segments was isolated from this individual (Morris et al., 2011). Using single B cell sorting, RT- PCR methods, and recombinant antibody technology, Chapter 4 describes the isolation of a VH1-69, Vk3-20 glycan-dependent clonal lineage from CAP206, targeted to gp120, that has the property of neutralizing a neutralization sensitive CAP206 transmitted/founder (T/F) and heterologous viruses with mutations at amino acids 680 or 681 in the MPER 4E10/CH12 binding site. These data demonstrate sites within the MPER bnAb epitope (aa 680-681) in which mutations can be selected that lead to viruses with enhanced sensitivity to autologous and heterologous neutralizing antibodies.

In Chapter 5, I have completed a comparison of evolution of B cell clonal lineages in two HIV-1 infected individuals who have a predominant VH1-69 response to HIV-1 infection--one who produces broadly neutralizing MPER-reactive mAbs and one who does not. Autologous neutralization in the plasma takes ~12 weeks to develop (Gray et al., 2007; Tomaras et al., 2008b). Only a small subset of HIV-1 infected individuals develops high plasma levels of broad and potent heterologous neutralization, and when it does occur, it typically takes 3-4 years to develop (Euler et al., 2010; Gray et al., 2007; 2011; Tomaras et al., 2011). The HIV-1 bnAbs that have been isolated to date have a number of unusual characteristics including, autoreactivity and high levels of somatic hypermutations, which are typically tightly regulated by immune control mechanisms (Haynes et al., 2005; 2012b; Kwong and Mascola, 2012; Scheid et al., 2009a). The VH mutation frequencies of bnAbs average ~15% but have been shown to be as high as 32% (reviewed in Mascola and Haynes, 2013; Kwong and Mascola, 2012). The high frequency of somatic hypermutations suggests that the B cell clonal lineages that eventually produce bnAbs undergo high-levels of affinity maturation, implying prolonged germinal center (GC) reactions and high levels of T cell help. To study the duration of HIV-1- reactive B cell clonal persistence, HIV-1 reactive and non HIV-1- reactive B cell clonal lineages were isolated from an HIV-1 infected individual that produces bnAbs, CAP206, and an HIV-1 infected individual who does not produce bnAbs, 004-0. Single B cell sorting, RT-PCR and recombinant antibody technology was used to isolate and produce monoclonal antibodies from multiple time points from each individual. B cell sequences clonally related to mAbs isolated by single cell PCR were identified within pyrosequences of longitudinal samples of these two individuals. Both individuals produced long-lived B cell clones that persisted from 0-232 weeks in CAP206, and 0-238 weeks in 004-0. The average length of persistence of clones containing members isolated from two separate time points was 91.5 weeks both individuals. Examples of the continued evolution of clonal lineages were observed in both the bnAb and non-bnAb individual. These data indicated that the ability to generate persistent and evolving B cell clonal lineages occurs in both bnAb and non-bnAb individuals, suggesting that some alternative host or viral factor is critical for the generation of highly mutated broadly neutralizing antibodies.

Together the studies described in Chapter 3-5 show that multiple factors influence the antibody response to HIV-1 infection. The initial antibody response to HIV-1 Env gp41 can be shaped by a B cell response to intestinal commensal bacteria prior to HIV-1 infection. VH and VL gene segment restriction can impact the B cell response to multiple HIV-1 antigens, and virus escape mutations in the MPER can confer enhanced neutralization sensitivity to autologous and heterologous antibodies. Finally, the ability to generate long-lived HIV-1 clonal lineages in and of itself does not confer on the host the ability to produce bnAbs.

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Cognitive neuroscience, as a discipline, links the biological systems studied by neuroscience to the processing constructs studied by psychology. By mapping these relations throughout the literature of cognitive neuroscience, we visualize the semantic structure of the discipline and point to directions for future research that will advance its integrative goal. For this purpose, network text analyses were applied to an exhaustive corpus of abstracts collected from five major journals over a 30-month period, including every study that used fMRI to investigate psychological processes. From this, we generate network maps that illustrate the relationships among psychological and anatomical terms, along with centrality statistics that guide inferences about network structure. Three terms--prefrontal cortex, amygdala, and anterior cingulate cortex--dominate the network structure with their high frequency in the literature and the density of their connections with other neuroanatomical terms. From network statistics, we identify terms that are understudied compared with their importance in the network (e.g., insula and thalamus), are underspecified in the language of the discipline (e.g., terms associated with executive function), or are imperfectly integrated with other concepts (e.g., subdisciplines like decision neuroscience that are disconnected from the main network). Taking these results as the basis for prescriptive recommendations, we conclude that semantic analyses provide useful guidance for cognitive neuroscience as a discipline, both by illustrating systematic biases in the conduct and presentation of research and by identifying directions that may be most productive for future research.

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Increasing atmospheric carbon dioxide (CO2) from anthropogenic sources is acidifying marine environments resulting in potentially dramatic consequences for the physical, chemical and biological functioning of these ecosystems. If current trends continue, mean ocean pH is expected to decrease by ~0.2 units over the next ~50 years. Yet, there is also substantial temporal variability in pH and other carbon system parameters in the ocean resulting in regions that already experience change that exceeds long-term projected trends in pH. This points to short-term dynamics as an important layer of complexity on top of long-term trends. Thus, in order to predict future climate change impacts, there is a critical need to characterize the natural range and dynamics of the marine carbonate system and the mechanisms responsible for observed variability. Here, we present pH and dissolved inorganic carbon (DIC) at time intervals spanning 1 hour to >1 year from a dynamic, coastal, temperate marine system (Beaufort Inlet, Beaufort NC USA) to characterize the carbonate system at multiple time scales. Daily and seasonal variation of the carbonate system is largely driven by temperature, alkalinity and the balance between primary production and respiration, but high frequency change (hours to days) is further influenced by water mass movement (e.g. tides) and stochastic events (e.g. storms). Both annual (~0.3 units) and diurnal (~0.1 units) variability in coastal ocean acidity are similar in magnitude to 50 year projections of ocean acidity associated with increasing atmospheric CO2. The environmental variables driving these changes highlight the importance of characterizing the complete carbonate system rather than just pH. Short-term dynamics of ocean carbon parameters may already exert significant pressure on some coastal marine ecosystems with implications for ecology, biogeochemistry and evolution and this shorter term variability layers additive effects and complexity, including extreme values, on top of long-term trends in ocean acidification.