828 research outputs found

    An Introduction to General Circulation Modelling Experiments with Raised CO2

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    The aim of the Environment Program is to provide the knowledge required for the development of policies aimed at ensuring environmental security. We recognize that the environmental issues cannot be treated in isolation if we are to achieve our goal. Environmental issues are closely linked with global concerns regarding increasing population, political and military security, technological and economic change, and humanitarian and social questions. Activities in the Program are therefore focussed on environmental problem areas which possess urgent needs for concise and realistic policy actions aimed at both reducing the stresses on the environment and implementing adjustment strategies. One of two themes in the Program is derived from expected global climate change caused by increasing atmospheric concentration of radiatively-active gases, and its consequences for managed and natural ecosystems, with particular emphasis on agriculture, forestry and water resources. The following paper is aimed directly at the questions concerning our major source of information on future climate change, that is, climate described by general circulation models (GCMs) of the atmosphere. Each of the present suite of GCMs, used in exploring climate response, is designed to correctly characterize different aspects of atmospheric dynamics, and hence, none of them will produce the same estimated daily temperature or precipitation patterns. Perhaps more important, none of the GCMs were developed to assess climate response to radiatively-active gases. Hence, none of them are more than coincidentally suited for the task, and all have very serious deficiencies for the purpose. For these reasons, the author's discussion of the most prominent GCMs used in climate change assessment, and her comparison of their output characteristics, is a critical document for our progress on climate impacts research in the Environment Program. This paper fills a void in the literature, allowing the biologists, hydrologists, land planners. and agronomists involved in this research to understand the nature, strengths and weaknesses of predictions of climate response to increasing greenhouse gas concentrations

    Can Perceptrons find Lyapunov's Functions?-An Algorithmic Approach to Systems Stability

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    The stability of general systems has been a major topic of interest for control theorists and practitioners for many years-stability, of course, being a fundamental requirement of all control systems and indeed most systems if they are to serve any useful purpose. The recent resurgence of interest in self organizing or adaptive systems has therefore naturally led people to ask questions about the stability of artificial neural works, which are, for the systems theorist, simply non-linear dynamic systems...

    Asymptotically Optimal Nonlinear Filtering

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    In this note we present a computationally simple algorithm for non-linear filtering. The algorithm involves solving, at a given point in state space, an algebraic Riccati equation. The coefficients of this equation vary with the given point in state space. We investigate conditions under which the state estimate given by this algorithm converges asymptotically to the first order minimum variance estimate given by the extended Kalman filter. We also investigate conditions for determining a region of stability for the filter given by this algorithm. The analysis is based on stable manifold theory and Hamilton-Jacobi-Bellman (HJB) equations. The motivation for introducing HJB equations is given by reference to the maximum likelihood approach to deriving the extended Kalman filter

    The quantitative soil pit method for measuring belowground carbon and nitrogen stocks

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    Many important questions in ecosystem science require estimates of stocks of soil C and nutrients. Quantitative soil pits provide direct measurements of total soil mass and elemental content in depth-based samples representative of large volumes, bypassing potential errors associated with independently measuring soil bulk density, rock volume, and elemental concentrations. The method also allows relatively unbiased sampling of other belowground C and nutrient stocks, including roots, coarse organic fragments, and rocks. We present a comprehensive methodology for sampling these pools with quantitative pits and assess their accuracy, precision, effort, and sampling intensity as compared to other methods. At 14 forested sites in New Hampshire, nonsoil belowground pools (which other methods may omit, double-count, or undercount) accounted for upward of 25% of total belowground C and N stocks: coarse material accounted for 4 and 1% of C and N in the O horizon; roots were 11 and 4% of C and N in the O horizon and 10 and 3% of C and N in the B horizon; and soil adhering to rocks represented 5% of total B-horizon C and N. The top 50 cm of the C horizon contained the equivalent of 17% of B-horizon carbon and N. Sampling procedures should be carefully designed to avoid treating these important pools inconsistently. Quantitative soil pits have fewer sources of systematic error than coring methods; the main disadvantage is that because they are time-consuming and create a larger zone of disturbance, fewer observations can be made than with cores

    Assessing anthropogenic influence on fire history during the Holocene in the Iberian Peninsula

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    The relative importance of climate change and human activities in influencing regional fire regimes during the Holocene is still a matter of debate. The introduction of agriculture during the Neolithic provides an opportunity to examine the impact of human activities on fire regimes. Here, we examine changes in fire regimes across Iberia between 10,000 and 3500 cal. BP, reconstructed using sedimentary charcoal records. We compare the regional fire history with estimates of changes in population size, reconstructed based on summed probability distributions of radiocarbon dates on archaeological material. We also compare the fire records and population reconstructions with the timing of the onset of agriculture across the region as indicated by archaeological data. For Iberia as a whole, there are two intervals of rapid population increase centred on ca. 7400 and ca. 5400 cal. BP. Periods of rapid population growth, either for the region as a whole or more locally, do not closely align with changes in charcoal accumulation. Charcoal accumulation had already begun to increase ca. 400 years prior to the onset of the Neolithic and continued to increase for ca. 750 years afterwards, indicating that changes in fire are not directly associated with the introduction of agriculture. Similarly, there is no direct relationship between changes in charcoal accumulation and later intervals of rapid population growth. There is also no significant relationship between population size and charcoal accumulation across the period of analysis. Our analyses show that the introduction of agriculture and subsequent increases in population are not directly linked with changes in fire regimes in Iberia and support the idea that changes in fire are largely driven by other factors such as climate

    Direct amplification of nodD from community DNA reveals the genetic diversity of Rhizobium leguminosarum in soil

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    Sequences of nodD, a gene found only in rhizobia, were amplified from total community DNA isolated from a pasture soil. The polymerase chain reaction (PCR) primers used, Y5 and Y6, match nodD from Rhizobium leguminosarum biovar trifolii, R. leguminosarum biovar viciae and Sinorhizobium meliloti. The PCR product was cloned and yielded 68 clones that were identified by restriction pattern as derived from biovar trifolii [11 restriction fragment length polymorphism (RFLP) types] and 15 clones identified as viciae (seven RFLP types). These identifications were confirmed by sequencing. There were no clones related to S. meliloti nodD. For comparison, 122 strains were isolated from nodules of white clover (Trifolium repens) growing at the field site, and 134 from nodules on trap plants of T. repens inoculated with the soil. The nodule isolates were of four nodD RFLP types, with 77% being of a single type. All four of these patterns were also found among the clones from soil DNA, and the same type was the most abundant, although it made up only 34% of the trifolii-like clones. We conclude that clover selects specific genotypes from the available soil population, and that R. leguminosarum biovar trifolii was approximately five times more abundant than biovar viciae in this pasture soil, whereas S. meliloti was rare

    Treatment related morbidity in differentiated thyroid cancer-a survey of clinicians.

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    Background: Differentiated thyroid cancer (DTC) has excellent long term survival in most patients. Long-term treatment related morbidity is therefore important, but may not be well characterised. The aim of this study was to conduct an electronic survey of clinicians involved in the care of patients with DTC to determine their views on treatment related morbidity. Methods: A nine item questionnaire was developed, piloted locally and sent by email to members of three United Kingdom (UK) medical organisations (Thyroid Cancer Forum, British Association of Endocrine and Thyroid Surgeons, British Thyroid Association). Results: 125 responses were received. Less than 5% of respondents had a formal protocol to detect morbidity associated with TSH suppression. Over 50% agreed that morbidity from TSH suppression is not well defined. The majority of responders also agreed that the long-term morbidity of hypocalcaemia, significant voice change and TSH suppression in DTC are not well characterised. Physicians perceived treatment related morbidity to be a bigger problem than surgeons (P = 0.019). Conclusion: Clinicians treating thyroid cancer agree that long-term treatment related morbidity from DTC is not well characterised. A study of the prevalence and severity of treatment related morbidity and its impact on health of patients with DTC is warranted

    A model realizing the Harrison-Perkins-Scott lepton mixing matrix

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    We present a supersymmetric model in which the lepton mixing matrix UU obeys, at the seesaw scale, the Harrison--Perkins--Scott \textit{Ansatz}--vanishing Ue3U_{e3}, maximal atmospheric neutrino mixing, and sin2θ=1/3\sin^2{\theta_\odot} = 1/3 (θ\theta_\odot is the solar mixing angle). The model features a permutation symmetry S3S_3 among the three lepton multiplets of each type--left-handed doublets, right-handed charged leptons, and right-handed neutrinos--and among three Higgs doublets and three zero-hypercharge scalar singlets; a fourth right-handed neutrino, a fourth Higgs doublet, and a fourth scalar singlet are invariant under S3S_3. In addition, the model has seven \mathbbm{Z}_2 symmetries, out of which six do not commute with S3S_3. Supersymmetry is needed in order to eliminate some quartic terms from the scalar potential, quartic terms which would make impossible to obtain the required vacuum expectation values of the three Higgs doublets and three scalar singlets. The Yukawa couplings to the charged leptons are flavour diagonal, so that flavour-changing neutral Yukawa interactions only arise at loop level.Comment: 16 pages, plain LaTeX, no figures; some clarifying remarks in the conclusions and references added, version accepted for publication in JHE
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