979 resultados para State-dependent inspection intervals
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The synthesis and characterization of new organosilicon derivatives of N3P3Cl6, N3P3[NH(CH2)3Si(OEt)3]6 (1), N3P3[NH(CH2)3Si(OEt)3]3[NCH3(CH2)3CN]3 (2), and N3P3[NH(CH2)3Si(OEt)3]3[HOC6H4(CH2)CN]3 (3) are reported. Pyrolysis of 1, 2, and 3 in air and at several temperatures results in nanostructured materials whose composition and morphology depend on the temperature of pyrolysis and the substituents of the phosphazenes ring. The products stem from the reaction of SiO2 with P2O5, leading to either crystalline Si5(PO4)6O, SiP2O7 or an amorphous phase as the glass Si5(PO4)6O/3SiO2·2P2O5, depending on the temperature and nature of the trimer precursors. From 1 at 800 °C, core−shell microspheres of SiO2 coated with Si5(PO4)6O are obtained, while in other cases, mesoporous or dense structures are observed. Atomic force microscopy examination after deposition of the materials on monocrystalline silicon wafers evidences morphology strongly dependent on the precursors. Isolated islands of size ∼9 nm are observed from 1, whereas dense nanostructures with a mean height of 13 nm are formed from 3. Brunauer−Emmett−Teller measurements show mesoporous materials with low surface areas. The proposed growth mechanism involves the formation of cross-linking structures and of vacancies by carbonization of the organic matter, where the silicon compounds nucleate. Thus, for the first time, unique silicon nanostructured materials are obtained from cyclic phosphazenes containing silicon.
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A newly developed framework for quantifying aerosol particle diversity and mixing state based on information-theoretic entropy is applied for the first time to single particle mass spectrometry field data. Single particle mass fraction estimates for black carbon, organic aerosol, ammonium, nitrate and sulfate, derived using single particle mass spectrometer, aerosol mass spectrometer and multi-angle absorption photometer measurements are used to calculate single particle species diversity (Di). The average single particle species diversity (Dα) is then related to the species diversity of the bulk population (Dγ) to derive a mixing state index value (χ) at hourly resolution. The mixing state index is a single parameter representation of how internally/externally mixed a particle population is at a given time. The index describes a continuum, with values of 0 and 100% representing fully external and internal mixing, respectively. This framework was applied to data collected as part of the MEGAPOLI winter campaign in Paris, France, 2010. Di values are low (∼ 2) for fresh traffic and wood-burning particles that contain high mass fractions of black carbon and organic aerosol but low mass fractions of inorganic ions. Conversely, Di values are higher (∼ 4) for aged carbonaceous particles containing similar mass fractions of black carbon, organic aerosol, ammonium, nitrate and sulfate. Aerosol in Paris is estimated to be 59% internally mixed in the size range 150-1067 nm, and mixing state is dependent both upon time of day and air mass origin. Daytime primary emissions associated with vehicular traffic and wood-burning result in low χ values, while enhanced condensation of ammonium nitrate on existing particles at night leads to higher χ values. Advection of particles from continental Europe containing ammonium, nitrate and sulfate leads to increases in Dα, Dγ and χ. The mixing state index represents a useful metric by which to compare and contrast ambient particle mixing state at other locations globally.
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Recent research into resting-state functional magnetic resonance imaging (fMRI) has shown that the brain is very active during rest. This thesis work utilizes blood oxygenation level dependent (BOLD) signals to investigate the spatial and temporal functional network information found within resting-state data, and aims to investigate the feasibility of extracting functional connectivity networks using different methods as well as the dynamic variability within some of the methods. Furthermore, this work looks into producing valid networks using a sparsely-sampled sub-set of the original data.
In this work we utilize four main methods: independent component analysis (ICA), principal component analysis (PCA), correlation, and a point-processing technique. Each method comes with unique assumptions, as well as strengths and limitations into exploring how the resting state components interact in space and time.
Correlation is perhaps the simplest technique. Using this technique, resting-state patterns can be identified based on how similar the time profile is to a seed region’s time profile. However, this method requires a seed region and can only identify one resting state network at a time. This simple correlation technique is able to reproduce the resting state network using subject data from one subject’s scan session as well as with 16 subjects.
Independent component analysis, the second technique, has established software programs that can be used to implement this technique. ICA can extract multiple components from a data set in a single analysis. The disadvantage is that the resting state networks it produces are all independent of each other, making the assumption that the spatial pattern of functional connectivity is the same across all the time points. ICA is successfully able to reproduce resting state connectivity patterns for both one subject and a 16 subject concatenated data set.
Using principal component analysis, the dimensionality of the data is compressed to find the directions in which the variance of the data is most significant. This method utilizes the same basic matrix math as ICA with a few important differences that will be outlined later in this text. Using this method, sometimes different functional connectivity patterns are identifiable but with a large amount of noise and variability.
To begin to investigate the dynamics of the functional connectivity, the correlation technique is used to compare the first and second halves of a scan session. Minor differences are discernable between the correlation results of the scan session halves. Further, a sliding window technique is implemented to study the correlation coefficients through different sizes of correlation windows throughout time. From this technique it is apparent that the correlation level with the seed region is not static throughout the scan length.
The last method introduced, a point processing method, is one of the more novel techniques because it does not require analysis of the continuous time points. Here, network information is extracted based on brief occurrences of high or low amplitude signals within a seed region. Because point processing utilizes less time points from the data, the statistical power of the results is lower. There are also larger variations in DMN patterns between subjects. In addition to boosted computational efficiency, the benefit of using a point-process method is that the patterns produced for different seed regions do not have to be independent of one another.
This work compares four unique methods of identifying functional connectivity patterns. ICA is a technique that is currently used by many scientists studying functional connectivity patterns. The PCA technique is not optimal for the level of noise and the distribution of the data sets. The correlation technique is simple and obtains good results, however a seed region is needed and the method assumes that the DMN regions is correlated throughout the entire scan. Looking at the more dynamic aspects of correlation changing patterns of correlation were evident. The last point-processing method produces a promising results of identifying functional connectivity networks using only low and high amplitude BOLD signals.
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The thesis is first and foremost the examination of the notion and consequences of ‘state failure’ in international law. The disputes surrounding criteria for creation and recognition of states pertain to efforts to analyse legal and factual issues unravelling throughout the continuing existence of states, as best evidenced by the ‘state failure’ phenomenon. It is argued that although the ‘statehood’ of failed states remains uncontested, their sovereignty is increasingly considered to be dependent on the existence of effective governments. The second part of this thesis focuses on the examinations of the legal consequences of the continuing existence of failed states in the context of jus ad bellum. Since the creation of the United Nations the ability of states to resort to armed force without violating what might be considered as the single most important norm of international law, has been considerably limited. State failure and increasing importance of non-state actors has become a greatly topical issue within recent years in both scholarship and the popular imagination. There have been important legal developments within international law, which have provoked much academic, and in particular, legal commentary. On one level, the thesis contributes to this commentary. Despite the fact that the international community continues to perpetuate a notion of ‘statehood’ which allows the state-centric system of international law to exist, when dealing with practical and political realities of state failure, international law may no longer consider external sovereignty of states as an undeniable entitlement to statehood. Accordingly, the main research question of this thesis is whether the implicit and explicit invocation of the state failure provides sufficient legal basis for the intervention in self-defence against non-state actors in located in failed states. It has been argued that state failure has a profound impact, the extent of which is yet to be fully explored, on the modern landscape of peace and security.
Estimating the effect of state-level gun purchasing policy on county-level firearm suicide mortality
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Thesis (Master's)--University of Washington, 2016-08
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In February of 1968 a cooperative research project by the Iowa State Highway Commission (Project No. HR-136) and the University of Iowa, Iowa City, Iowa was initiated in order to determine experimentally the creep and shrinkage characteristics of lightweight-aggregate concrete used in the State of Iowa. This report is concerned with Phase 1 of the Project as described in the Prospectus for the project submitted in November of 1967: "The State Highway Commission is planning to conduct pilot studies in prestressed-lightweight structures fabricated with materials that are proposed for use in bridge structures in the near future. Thus, Phase will have as its immediate objective, investigating the materials to be used in the above mentioned pilot studies.” (1) The work described in this report was also carried out in conjunction with a second cooperative project: "Time-Dependent Camber and Deflection of Non-Composite and Composite Lightweight-Prestressed Concrete Beams" (Project No. HR-137).
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“Dependent adult” abuse allegations involve people who are aged 18 or over and are incapable of adequate self care due to physical or mental conditions and require assistance from other people. Dependent adults may be elderly or may have diminished physical or mental capacities that prevent them from meeting their own needs adequately. Researchers estimate that only 1 in 14 incidents of elder abuse actually come to the attention of law enforcement or human service agencies. Elder abuse is one of the most under-recognized and under-reported social problems in the United States. It is far less likely to be reported than child abuse because of the lack of public awareness. Nationally, it is estimated that over 55% of elder abuse is due to self-neglect. Such abuse can happen anywhere … in private homes, at health care facilities and in the community at large. Iowa has an increasing proportion of people who are aged 60 or over. The number of persons 80 or over is increasing more rapidly than any other age group. Iowa’s proportion of older adults in the population exceeds that of the United States as a whole.
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Since the 1980s, state schools in England have been required to ensure transparency and accountability through the use of indicators and templates derived from the private sector and, more recently, globally circulating discourses of ‘good governance’ (an appeal to professional standards, technical expertise, and performance evaluation as mechanisms for improving public service delivery). The rise of academies and free schools (‘state-funded independent schools’) has increased demand for good governance, notably as a means by which to discipline schools, in particular school governors – those tasked with the legal responsibility of holding senior leadership to account for the financial and educational performance of schools. A condition and effect of school autonomy, therefore, is increased monitoring and surveillance of all school governing bodies. In this paper, I demonstrate how these twin processes combine to produce a new modality of state power and intervention; a dominant or organizing principle by which government steer the performance of governors through disciplinary tools of professionalization and inspection, with the aim of achieving the ‘control of control’. To explain these trends, I explore how various established and emerging school governing bodies are (re)constituting themselves to meet demands for good governance.
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Cette thèse présente la découverte de nouveaux inhibiteurs de l’amidotransférase ARNt-dépendante (AdT), et résume les connaissances récentes sur la biosynthèse du Gln-ARNtGln et de l’Asn-ARNtAsn par la voie indirecte chez la bactérie Helicobacter pylori. Dans le cytoplasme des eucaryotes, vingt acides aminés sont liés à leur ARNt correspondant par vingt aminoacyl-ARNt synthétases (aaRSs). Ces enzymes sont très spécifiques, et leur fonction est importante pour le décodage correct du code génétique. Cependant, la plupart des bactéries, dont H. pylori, sont dépourvues d’asparaginyl-ARNt synthétase et/ou de glutaminyl-ARNt synthétase. Pour former le Gln-ARNtGln, H. pylori utilise une GluRS noncanonique nommée GluRS2 qui glutamyle spécifiquement l’ARNtGln ; ensuite, une AdT trimérique, la GatCAB corrige le Glu-ARNtGln mésapparié en le transamidant pour former le Gln-ARNtGln, qui lira correctement les codons glutamine pendant la biosynthèse des protéines sur les ribosomes. La formation de l’Asn-ARNtAsn est similaire à celle du Gln-ARNtGln, et utilise la même GatCAB et une AspRS non-discriminatrice. Depuis des années 2000, la GatCAB est considérée comme une cible prometteuse pour le développement de nouveaux antibiotiques, puisqu’elle est absente du cytoplasme de l’être humain, et qu’elle est encodée dans le génome de plusieurs bactéries pathogènes. Dans le chapitre 3, nous présentons la découverte par la technique du « phage display » de peptides cycliques riches en tryptophane et en proline, et qui inhibent l’activité de la GatCAB de H. pylori. Les peptides P10 (CMPVWKPDC) et P9 (CSAHNWPNC) inhibent cette enzyme de façon compétitive par rapport au substrat Glu-ARNtGln. Leur constante d’inhibition (Ki) est 126 μM pour P10, et 392 μM pour P9. Des modèles moléculaires ont montré qu’ils lient le site actif de la réaction de transmidation catalysée par la GatCAB, grâce à la formation d’une interaction π-π entre le résidu Trp de ces peptides et le résidu Tyr81 de la sous-unité GatB, comme fait le A76 3’-terminal de l’ARNt. Dans une autre étude concernant des petits composés contenant un groupe sulfone, et qui mimiquent l’intermédiaire de la réaction de transamidation, nous avons identifié des composés qui inhibent la GatCAB de H. pylori de façon compétitive par rapport au substrat Glu-ARNtGln. Cinq fois plus petits que les peptides cycliques mentionnés plus haut, ces composés inhibent l’activité de la GatCAB avec des Ki de 139 μM pour le composé 7, et de 214 μM pour le composé 4. Ces inhibiteurs de GatCAB pourraient être utiles pour des études mécanistiques, et pourraient être des molécules de base pour le développement de nouvelles classes d’antibiotiques contre des infections causées par H. pylori.
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Rationale: Hospital malnutrition is a global health problem affecting 30-50% of hospitalized patients. There are no estimates of the size of this problem in Ecuadorian hospitals. Hospital malnutrition might influence the quality of medical assistance provided to hospitalized populations. Objectives: To estimate the current frequency of malnutrition among patients admitted to Ecuadorian public hospitals. Materials and methods: The Ecuadorian Hospital Malnutrition Study was conducted between November 2011 and June 2012 with 5,355 patients (Women. 37.5%; Ages ≥ 60 years. 35.1%; Length of stay ≤ 15 days. 91.2%) admitted to 36 public hospitals located in the prominent cities of 22 out of the 24 provinces of the country. Malnutrition frequency was estimated by means of the Subjective Global Assessment survey. Results: Malnutrition affected 37.1% of the surveyed patients. Malnutrition was dependent upon patient's age and education level; as well as the presence of cancer, sepsis, and chronic organic failure. Hospital areas showed different frequencies of hospital malnutrition. Health condition leading to hospital admission influenced negatively upon nutritional status. Malnutrition frequency increased as length of stay prolonged. Conclusions: Malnutrition currently affects an important proportion of patients hospitalized in public health institutions of Ecuador. Policies and actions are urgently required in order to successfully deal with this health problem and thus to ameliorate its negative impact upon quality of medical care
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In this paper we consider a class of scalar integral equations with a form of space-dependent delay. These non-local models arise naturally when modelling neural tissue with active axons and passive dendrites. Such systems are known to support a dynamic (oscillatory) Turing instability of the homogeneous steady state. In this paper we develop a weakly nonlinear analysis of the travelling and standing waves that form beyond the point of instability. The appropriate amplitude equations are found to be the coupled mean-field Ginzburg-Landau equations describing a Turing-Hopf bifurcation with modulation group velocity of O(1). Importantly we are able to obtain the coefficients of terms in the amplitude equations in terms of integral transforms of the spatio-temporal kernels defining the neural field equation of interest. Indeed our results cover not only models with axonal or dendritic delays but those which are described by a more general distribution of delayed spatio-temporal interactions. We illustrate the predictive power of this form of analysis with comparison against direct numerical simulations, paying particular attention to the competition between standing and travelling waves and the onset of Benjamin-Feir instabilities.
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Charge carrier lifetime measurements in bulk or unfinished photovoltaic (PV) materials allow for a more accurate estimate of power conversion efficiency in completed solar cells. In this work, carrier lifetimes in PV- grade silicon wafers are obtained by way of quasi-steady state photoconductance measurements. These measurements use a contactless RF system coupled with varying narrow spectrum input LEDs, ranging in wavelength from 460 nm to 1030 nm. Spectral dependent lifetime measurements allow for determination of bulk and surface properties of the material, including the intrinsic bulk lifetime and the surface recombination velocity. The effective lifetimes are fit to an analytical physics-based model to determine the desired parameters. Passivated and non-passivated samples are both studied and are shown to have good agreement with the theoretical model.
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Data files to accompany the article in Nature Communications, in press.
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The delicate balance between the production and disposal of proteins is vital for the changes required in the cell to respond to given stimulus. Ubiquitination is a protein modification with a range of signaling outcomes when ubiquitin is attached to a protein through a highly ordered enzymatic cascade process. Understanding ubiquitination is a growing field and nowadays the application of chemical reactions allows the isolation of quantitative materials for structural studies. Therefore, in this dissertation it is described some of these suitable chemical methodologies to produce an isopeptide bond toward the polymerization of ubiquitin bypassing the enzymatic control with the purpose of showing if these chemical modifications have a direct impact on the structure of ubiquitin. First, the possibility of incorporating non-natural lysine analogs known as mercaptolysines into the polypeptide chain of Ubiquitin was explored when they were attached to ubiquitin by native chemical ligation at its C terminus. The sulfhydryl group was used for the attachment of a paramagnetic label to map the surface of ubiquitin. Second, the condensation catalyzed by silver nitrate was used for the dimer assembly. In particular, the main focus was on examining whether orthogonal protection and deprotection of each monomer have an impact on the reaction yield, since the synthetic strategy has been previously attempted successfully. Third, the formation of ubiquitin dimers was approached by building an inter-ubiquitin linkage mimicking the isopeptide bond with two approaches, the classic disulfide exchange as well as the thiol-ene click reaction by thermal initiation in aqueous conditions. After assembling the dimeric units, they were studied by Nuclear Magnetic Resonance, in order to establish a conformational state profile which depends on the pH conditions. The latter is a very important concept since some ligands have a preferred affinity when the protein-protein hydrophobic patches are in close proximity.
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215 p.