WorldWideScience

Sample records for analysis infers migration

  1. Inference of random walk models to describe leukocyte migration

    Science.gov (United States)

    Jones, Phoebe J. M.; Sim, Aaron; Taylor, Harriet B.; Bugeon, Laurence; Dallman, Magaret J.; Pereira, Bernard; Stumpf, Michael P. H.; Liepe, Juliane

    2015-12-01

    While the majority of cells in an organism are static and remain relatively immobile in their tissue, migrating cells occur commonly during developmental processes and are crucial for a functioning immune response. The mode of migration has been described in terms of various types of random walks. To understand the details of the migratory behaviour we rely on mathematical models and their calibration to experimental data. Here we propose an approximate Bayesian inference scheme to calibrate a class of random walk models characterized by a specific, parametric particle re-orientation mechanism to observed trajectory data. We elaborate the concept of transition matrices (TMs) to detect random walk patterns and determine a statistic to quantify these TM to make them applicable for inference schemes. We apply the developed pipeline to in vivo trajectory data of macrophages and neutrophils, extracted from zebrafish that had undergone tail transection. We find that macrophage and neutrophils exhibit very distinct biased persistent random walk patterns, where the strengths of the persistence and bias are spatio-temporally regulated. Furthermore, the movement of macrophages is far less persistent than that of neutrophils in response to wounding.

  2. Logical inferences in discourse analysis

    Institute of Scientific and Technical Information of China (English)

    刘峰廷

    2014-01-01

    Cohesion and coherence are two important characteristics of discourses. Halliday and Hasan have pointed out that cohesion is the basis of coherence and coherence is the premise of forming discourse. The commonly used cohesive devices are: preference, ellipsis, substitution, etc. Discourse coherence is mainly manifested in sentences and paragraphs. However, in real discourse analysis environment, traditional methods on cohesion and coherence are not enough. This article talks about the conception of discourse analysis at the beginning. Then, we list some of the traditional cohesive devices and its uses. Following that, we make corpus analysis. Finally, we explore and find a new device in textual analysis:discourse logical inferences.

  3. Feeding and migration habits of white shark Carcharodon carcharias (Lamniformes: Lamnidae) from Isla Guadalupe inferred by analysis of stable isotopes delta15N and delta13C.

    Science.gov (United States)

    Jaime-Rivera, Mario; Caraveo-Patiño, Javier; Hoyos-Padilla, Mauricio; Galván-Magaña, Felipe

    2014-06-01

    Stable isotope composition of marine top predator's tissues provides insight information of its trophic ecology and migratory behavior. Previous reports have shown that dermal tissues could record longer patterns of hunting and movement. Based on this, the aim of this study was to describe the feeding and migratory habits of the white shark from Isla Guadalupe, using stable isotopic analysis of dermis. We considered a small subset of many possible prey taxa that the sharks could have eaten throughout their migration: pinnipeds, squid and tuna. We grouped the data in five focal areas: Gulf of California, Coast of California, Isla Guadalupe, SOFA and Hawaii. We performed a Bayesian mixing model to study the trophic ecology of this top predator. Average isotopic values for dermis tissue of white shark were delta13C (-14.5 per thousand) and delta15N (19.1 per thousand). Corrected white shark dermal mean values to resemble muscle were delta13C (-16.6 per thousand) and delta15N (21.2 per thousand). Mixing model data from dermis showed predation in offshore areas such the SOFA and a main importance of pinnipeds as prey of the white shark in Isla Guadalupe. PMID:25102646

  4. Statistical Inference and Meta-Analysis

    OpenAIRE

    Richard Berk

    2006-01-01

    Statistical inference is an important feature of meta-analysis. Estimation is often a central goal, with hypothesis tests and confidence intervals used to address uncertainty. Expositions of meta-analysis make statistical inference a major theme. Indeed, a significant motivation for meta-analysis can be improving the precision of the estimates produced and increasing the power of any hypothesis tests. In the pages ahead, the use of statistical inference in meta-analysis will be examined. The ...

  5. Feeding and migration habits of white shark Carcharodon carcharias (Lamniformes: Lamnidae) from Isla Guadalupe inferred by analysis of stable isotopes d15N and d 13C

    OpenAIRE

    Mario Jaime-Rivera; Javier Caraveo-Patiño; Mauricio Hoyos-Padilla; Felipe Galván-Magaña

    2014-01-01

    Stable isotope composition of marine top predators tissues provides insight information of its trophic ecology and migratory behavior. Previous reports have shown that dermal tissues could record longer patterns of hunting and movement. Based on this, the aim of this study was to describe the feeding and migratory habits of the white shark from Isla Guadalupe, using stable isotopic analysis of dermis. We considered a small subset of many possible prey taxa that the sharks could have eaten thr...

  6. Lobbying expenditures on migration: a descriptive analysis

    OpenAIRE

    Facchini, Giovanni; Mayda, Anna Maria; Mishra, Prachi

    2015-01-01

    In this paper we carry out a descriptive analysis of lobbying expenditures on migration in the US between 1998 and 2005. While PAC contributions and lobbying are in general positively correlated, our results suggest that this is not the case when it comes to lobbying on migration. As a result, any analysis of the role of lobbying in migration should not focus on PAC contributions alone. Comparing lobbying on migration and trade, we find that substantially more resources are spent on the latte...

  7. Analysis of KATRIN data using Bayesian inference

    CERN Document Server

    Riis, Anna Sejersen; Weinheimer, Christian

    2011-01-01

    The KATRIN (KArlsruhe TRItium Neutrino) experiment will be analyzing the tritium beta-spectrum to determine the mass of the neutrino with a sensitivity of 0.2 eV (90% C.L.). This approach to a measurement of the absolute value of the neutrino mass relies only on the principle of energy conservation and can in some sense be called model-independent as compared to cosmology and neutrino-less double beta decay. However by model independent we only mean in case of the minimal extension of the standard model. One should therefore also analyse the data for non-standard couplings to e.g. righthanded or sterile neutrinos. As an alternative to the frequentist minimization methods used in the analysis of the earlier experiments in Mainz and Troitsk we have been investigating Markov Chain Monte Carlo (MCMC) methods which are very well suited for probing multi-parameter spaces. We found that implementing the KATRIN chi squared function in the COSMOMC package - an MCMC code using Bayesian parameter inference - solved the ...

  8. International Migration to Germany : Estimation of a Time-Series Model and Inference in Panel Cointegration.

    OpenAIRE

    Trübswetter, Parvati; Siliverstovs, Boriss; Brücker, Herbert

    2003-01-01

    In this paper we study the determinants of international migration to Germany, 1967-2000. The empirical literature on macro-economic migration functions usually explains migration flows by a set of explanatory variables such as the income differential, employment rates, and migrations stocks as in Hatton (1995), for example. Since macroeconomic variables are widely acknowledged as nonstationary, the standard model in the migration literature can only meet the requirements of modern non-statio...

  9. Spatial Autocorrelation Analysis of Migration and Selection

    OpenAIRE

    Sokal, R R; Jacquez, G M; Wooten, M. C.

    1989-01-01

    We test various assumptions necessary for the interpretation of spatial autocorrelation analysis of gene frequency surfaces, using simulations of Wright's isolation-by-distance model with migration or selection superimposed. Increasing neighborhood size enhances spatial autocorrelation, which is reduced again for the largest neighborhood sizes. Spatial correlograms are independent of the mean gene frequency of the surface. Migration affects surfaces and correlograms when immigrant gene freque...

  10. Safety Analysis versus Type Inference with Partial Types

    DEFF Research Database (Denmark)

    Schwartzbach, Michael Ignatieff; Palsberg, Jens

    1992-01-01

    Safety analysis is an algorithm for determining if a term in an untyped lambda calculus with constants is safe, i.e., if it does not cause an error during evaluation. This ambition is also shared by algorithms for type inference. Safety analysis and type inference are based on rather different...... perspectives, however. Safety analysis is global in that it can only analyze a complete program. In contrast, type inference is local in that it can analyze pieces of a program in isolation. In this paper we prove that safety analysis is sound, relative to both a strict and a lazy operational semantics. We...... also prove that safety analysis accepts strictly more safe lambda terms than does type inference for simple types. The latter result demonstrates that global program analysis can be more precise than local ones....

  11. A new isolation with migration model along complete genomes infers very different divergence processes among closely related great ape species

    OpenAIRE

    Thomas Mailund; Halager, Anders E.; Michael Westergaard; Dutheil, Julien Y.; Kasper Munch; Andersen, Lars N.; Gerton Lunter; Kay Prüfer; Aylwyn Scally; Asger Hobolth; Schierup, Mikkel H.

    2012-01-01

    We present a hidden Markov model (HMM) for inferring gradual isolation between two populations during speciation, modelled as a time interval with restricted gene flow. The HMM describes the history of adjacent nucleotides in two genomic sequences, such that the nucleotides can be separated by recombination, can migrate between populations, or can coalesce at variable time points, all dependent on the parameters of the model, which are the effective population sizes, splitting times, recombin...

  12. A new isolation with migration model along complete genomes infers very different divergence processes among closely related great ape species.

    Directory of Open Access Journals (Sweden)

    Thomas Mailund

    Full Text Available We present a hidden Markov model (HMM for inferring gradual isolation between two populations during speciation, modelled as a time interval with restricted gene flow. The HMM describes the history of adjacent nucleotides in two genomic sequences, such that the nucleotides can be separated by recombination, can migrate between populations, or can coalesce at variable time points, all dependent on the parameters of the model, which are the effective population sizes, splitting times, recombination rate, and migration rate. We show by extensive simulations that the HMM can accurately infer all parameters except the recombination rate, which is biased downwards. Inference is robust to variation in the mutation rate and the recombination rate over the sequence and also robust to unknown phase of genomes unless they are very closely related. We provide a test for whether divergence is gradual or instantaneous, and we apply the model to three key divergence processes in great apes: (a the bonobo and common chimpanzee, (b the eastern and western gorilla, and (c the Sumatran and Bornean orang-utan. We find that the bonobo and chimpanzee appear to have undergone a clear split, whereas the divergence processes of the gorilla and orang-utan species occurred over several hundred thousands years with gene flow stopping quite recently. We also apply the model to the Homo/Pan speciation event and find that the most likely scenario involves an extended period of gene flow during speciation.

  13. Imprecise inference for warranty contract analysis

    International Nuclear Information System (INIS)

    This paper presents an investigation into generalised Bayesian analysis of warranty contracts, using sets of prior distributions within the theory of imprecise probability. Explicit expressions are derived for optimal lower and upper bounds for the expected profit for the manufacturer of a product, corresponding to an imprecise negative binomial model for which two sets of prior distributions are studied. The results can be used to set a maximum value of compensation such that the manufacturer's expected profit remains positive, under vague prior knowledge. - Highlights: • Two new imprecise probability models for warranty contract analysis. • Guidance on compensation in case requirement is not met. • Detailed derivation of explicit expressions of optimal bounds for profit

  14. Evaluation of Seismic Methods for Inferring Fluid Migration in Volcanic Regions

    Science.gov (United States)

    Lucero, Jaron Joshua James

    relationship using aqueous fluid injection rather than magmatic intrusion. Analysis of non-double-couple (NDC) events during earthquake swarms revealed that the currently deployed seismic network does not provide the coverage necessary to examine events of such low magnitude. Conducting a proper evaluation of the NDC inversion technique for inferring fluid transport will require additional broadband seismometer deployment at Yellowstone, or the selection of a new study area.

  15. EMPIRICAL-NUMERICAL ANALYSIS OF HEADCUT MIGRATION

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    Headcut migration is studied by using empirical and numerical modeling approaches. Empirical formulas for the headcut migration are established using available measurement data, which consider not only the flow strength but also the properties of soil. Numerical model for the headcut migration is proposed. The influences of dynamic pressure gradient, downward flow, and bed slope on sediment entrainment are considered. The local erosion patterns and migration speeds of headcut calculated by the numerical model agree reasonably well with observed data.

  16. Migration Flows: Measurement, Analysis and Modeling

    NARCIS (Netherlands)

    Willekens, F.J.; White, Michael J.

    2016-01-01

    This chapter is an introduction to the study of migration flows. It starts with a review of major definition and measurement issues. Comparative studies of migration are particularly difficult because different countries define migration differently and measurement methods are not harmonized. Insigh

  17. Inference algorithms and learning theory for Bayesian sparse factor analysis

    International Nuclear Information System (INIS)

    Bayesian sparse factor analysis has many applications; for example, it has been applied to the problem of inferring a sparse regulatory network from gene expression data. We describe a number of inference algorithms for Bayesian sparse factor analysis using a slab and spike mixture prior. These include well-established Markov chain Monte Carlo (MCMC) and variational Bayes (VB) algorithms as well as a novel hybrid of VB and Expectation Propagation (EP). For the case of a single latent factor we derive a theory for learning performance using the replica method. We compare the MCMC and VB/EP algorithm results with simulated data to the theoretical prediction. The results for MCMC agree closely with the theory as expected. Results for VB/EP are slightly sub-optimal but show that the new algorithm is effective for sparse inference. In large-scale problems MCMC is infeasible due to computational limitations and the VB/EP algorithm then provides a very useful computationally efficient alternative.

  18. Quantitative epistasis analysis and pathway inference from genetic interaction data.

    Directory of Open Access Journals (Sweden)

    Hilary Phenix

    2011-05-01

    Full Text Available Inferring regulatory and metabolic network models from quantitative genetic interaction data remains a major challenge in systems biology. Here, we present a novel quantitative model for interpreting epistasis within pathways responding to an external signal. The model provides the basis of an experimental method to determine the architecture of such pathways, and establishes a new set of rules to infer the order of genes within them. The method also allows the extraction of quantitative parameters enabling a new level of information to be added to genetic network models. It is applicable to any system where the impact of combinatorial loss-of-function mutations can be quantified with sufficient accuracy. We test the method by conducting a systematic analysis of a thoroughly characterized eukaryotic gene network, the galactose utilization pathway in Saccharomyces cerevisiae. For this purpose, we quantify the effects of single and double gene deletions on two phenotypic traits, fitness and reporter gene expression. We show that applying our method to fitness traits reveals the order of metabolic enzymes and the effects of accumulating metabolic intermediates. Conversely, the analysis of expression traits reveals the order of transcriptional regulatory genes, secondary regulatory signals and their relative strength. Strikingly, when the analyses of the two traits are combined, the method correctly infers ~80% of the known relationships without any false positives.

  19. Inferring Group Processes from Computer-Mediated Affective Text Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Schryver, Jack C [ORNL; Begoli, Edmon [ORNL; Jose, Ajith [Missouri University of Science and Technology; Griffin, Christopher [Pennsylvania State University

    2011-02-01

    Political communications in the form of unstructured text convey rich connotative meaning that can reveal underlying group social processes. Previous research has focused on sentiment analysis at the document level, but we extend this analysis to sub-document levels through a detailed analysis of affective relationships between entities extracted from a document. Instead of pure sentiment analysis, which is just positive or negative, we explore nuances of affective meaning in 22 affect categories. Our affect propagation algorithm automatically calculates and displays extracted affective relationships among entities in graphical form in our prototype (TEAMSTER), starting with seed lists of affect terms. Several useful metrics are defined to infer underlying group processes by aggregating affective relationships discovered in a text. Our approach has been validated with annotated documents from the MPQA corpus, achieving a performance gain of 74% over comparable random guessers.

  20. Complexity Analysis and Variational Inference for Interpretation-based Probabilistic Description Logic

    OpenAIRE

    Cozman, Fabio Gagliardi; Polastro, Rodrigo Bellizia

    2012-01-01

    This paper presents complexity analysis and variational methods for inference in probabilistic description logics featuring Boolean operators, quantification, qualified number restrictions, nominals, inverse roles and role hierarchies. Inference is shown to be PEXP-complete, and variational methods are designed so as to exploit logical inference whenever possible.

  1. Automated migration analysis based on cell texture: method & reliability

    Directory of Open Access Journals (Sweden)

    Chittenden Thomas W

    2005-03-01

    Full Text Available Abstract Background In this paper, we present and validate a way to measure automatically the extent of cell migration based on automated examination of a series of digital photographs. It was designed specifically to identify the impact of Second Hand Smoke (SHS on endothelial cell migration but has broader applications. The analysis has two stages: (1 preprocessing of image texture, and (2 migration analysis. Results The output is a graphic overlay that indicates the front lines of cell migration superimposed on each original image, with automated reporting of the distance traversed vs. time. Expert preference compares to manual placement of leading edge shows complete equivalence of automated vs. manual leading edge definition for cell migration measurement. Conclusion Our method is indistinguishable from careful manual determinations of cell front lines, with the advantages of full automation, objectivity, and speed.

  2. Bayesian large-scale structure inference and cosmic web analysis

    CERN Document Server

    Leclercq, Florent

    2015-01-01

    Surveys of the cosmic large-scale structure carry opportunities for building and testing cosmological theories about the origin and evolution of the Universe. This endeavor requires appropriate data assimilation tools, for establishing the contact between survey catalogs and models of structure formation. In this thesis, we present an innovative statistical approach for the ab initio simultaneous analysis of the formation history and morphology of the cosmic web: the BORG algorithm infers the primordial density fluctuations and produces physical reconstructions of the dark matter distribution that underlies observed galaxies, by assimilating the survey data into a cosmological structure formation model. The method, based on Bayesian probability theory, provides accurate means of uncertainty quantification. We demonstrate the application of BORG to the Sloan Digital Sky Survey data and describe the primordial and late-time large-scale structure in the observed volume. We show how the approach has led to the fi...

  3. Numerical Analysis of Hip Implant Migration

    Czech Academy of Sciences Publication Activity Database

    Kytýř, Daniel; Jírová, Jitka; Jíra, J.; Micka, Michal

    Dublin : Trinity Centre for Bioengineering, 2007 - (Prendergast, P.), s. 173-174 ISBN 0-9548583-1-X. [Finite Element Modelling in Biomechanics and Mechanobiology. Dublin (IE), 26.08.2007-28.08.2007] Institutional research plan: CEZ:AV0Z20710524 Keywords : migration * hemiarthroplasty * computer tomography Subject RIV: FI - Traumatology, Orthopedics

  4. China ASON Network Migration Scenarios and Their Quantitative Analysis

    Institute of Scientific and Technical Information of China (English)

    Guoying Zhang; Soichiro Araki; Itaru Nishioka; Yoshihiko Suemura

    2003-01-01

    This paper proposes two migration scenarios from China rin g networks to ASON mesh networks . In our quantitative analysis with ASON/GMPLS simulator, a subnetwork protection scheme achieved best balanced performance in resource utilization and restoration time.

  5. China ASON Network Migration Scenarios and Their Quantitative Analysis

    Institute of Scientific and Technical Information of China (English)

    Soichiro; Araki; Itaru; Nishioka; Yoshihiko; Suemura

    2003-01-01

    This paper proposes two migration scenarios from China ring networks to ASON mesh networks. In our quantitative analysis with ASON/GMPLS simulator, a subnetwork protection scheme achieved best balanced performance in resource utilization and restoration time.

  6. The Dynamics of Repeat Migration: A Markov Chain Analysis

    OpenAIRE

    Zimmermann, Klaus F.; Amelie F. Constant

    2003-01-01

    While the literature has established that there is substantial and highly selective return migration, the growing importance of repeat migration has been largely ignored. Using Markov chain analysis, this paper provides a modeling framework for repeated moves of migrants between the host and home countries. The Markov transition matrix between the states in two consecutive periods is parameterized and estimated using a logit specification and a large panel data with 14 waves. The analysis for...

  7. Bayesian Inference for NASA Probabilistic Risk and Reliability Analysis

    Science.gov (United States)

    Dezfuli, Homayoon; Kelly, Dana; Smith, Curtis; Vedros, Kurt; Galyean, William

    2009-01-01

    This document, Bayesian Inference for NASA Probabilistic Risk and Reliability Analysis, is intended to provide guidelines for the collection and evaluation of risk and reliability-related data. It is aimed at scientists and engineers familiar with risk and reliability methods and provides a hands-on approach to the investigation and application of a variety of risk and reliability data assessment methods, tools, and techniques. This document provides both: A broad perspective on data analysis collection and evaluation issues. A narrow focus on the methods to implement a comprehensive information repository. The topics addressed herein cover the fundamentals of how data and information are to be used in risk and reliability analysis models and their potential role in decision making. Understanding these topics is essential to attaining a risk informed decision making environment that is being sought by NASA requirements and procedures such as 8000.4 (Agency Risk Management Procedural Requirements), NPR 8705.05 (Probabilistic Risk Assessment Procedures for NASA Programs and Projects), and the System Safety requirements of NPR 8715.3 (NASA General Safety Program Requirements).

  8. The Analysis of International Migration towards Economic Growth

    Directory of Open Access Journals (Sweden)

    Ferdous Alam

    2011-01-01

    Full Text Available Problem statement: This study discusses the analysis of international migration towards economic growth in Bangladesh. International migration refers to the cross-border movement of people from a mother country to a location outside that mother country, with the purpose of taking up higher income employment, better living conditions, higher education get access to civic amenities and conducting a daily existence there for an extended period of time. The exports of labor, human capital, play a major role to minimize the poverty level in Bangladesh. In the last four decades, Bangladesh exports the huge number of labors abroad for economic growth through remittances. Remittances affect poverty eradication most directly by increasing the income of households which have a family member working abroad. Because income from remittances is usually larger than that which could have been earned by migrants they stayed at home. Approach: The aim of this study is to highlight the policy implications for the maximization of international migration and the analysis of economic growth in Bangladesh. The data for analysis is perceived from the secondary sources. The significant manipulations for acquired data are migration of employment and remittances for economic growth in Bangladesh. Results: Migration contributed for the development of macro and micro level in Bangladesh. Conclusion: There would be potential benefits to world's poor if more international attention were focused on integrating migration policy to within the larger global dialogue economic development and poverty reduction. Strong institutions and good policies will enhance the benefits of human capital migration for Bangladesh.

  9. Statistical analysis of the migration phenomenon

    OpenAIRE

    Alina - Andreea CRUCERU

    2010-01-01

    On the basis of economic conditions being devalued in Romania, more and more persons were forced to find a work place – be it temporary or permanent – outside of the country’s borders. This phenomenon of international migration has, as a main effect, the emergence of a special category of persons, respectively that of children left behind under the care of one of the parents or of other people. The situation of these minors is extremely difficult because, lacking the careful supervision of th...

  10. Evolution and connectivity in the world-wide migration system of the mallard: Inferences from mitochondrial DNA

    Directory of Open Access Journals (Sweden)

    Kraus Robert HS

    2011-11-01

    Full Text Available Abstract Background Main waterfowl migration systems are well understood through ringing activities. However, in mallards (Anas platyrhynchos ringing studies suggest deviations from general migratory trends and traditions in waterfowl. Furthermore, surprisingly little is known about the population genetic structure of mallards, and studying it may yield insight into the spread of diseases such as Avian Influenza, and in management and conservation of wetlands. The study of evolution of genetic diversity and subsequent partitioning thereof during the last glaciation adds to ongoing discussions on the general evolution of waterfowl populations and flyway evolution. Hypothesised mallard flyways are tested explicitly by analysing mitochondrial mallard DNA from the whole northern hemisphere. Results Phylogenetic analyses confirm two mitochondrial mallard clades. Genetic differentiation within Eurasia and North-America is low, on a continental scale, but large differences occur between these two land masses (FST = 0.51. Half the genetic variance lies within sampling locations, and a negligible portion between currently recognised waterfowl flyways, within Eurasia and North-America. Analysis of molecular variance (AMOVA at continent scale, incorporating sampling localities as smallest units, also shows the absence of population structure on the flyway level. Finally, demographic modelling by coalescence simulation proposes a split between Eurasia and North-America 43,000 to 74,000 years ago and strong population growth (~100fold since then and little migration (not statistically different from zero. Conclusions Based on this first complete assessment of the mallard's world-wide population genetic structure we confirm that no more than two mtDNA clades exist. Clade A is characteristic for Eurasia, and clade B for North-America although some representatives of clade A are also found in North-America. We explain this pattern by evaluating competing

  11. Migration behaviour of silver eels (Anguilla anguilla) in a large estuary of Western Europe inferred from acoustic telemetry

    OpenAIRE

    Bultel, Elise; Lasne, Emilien; Acou, Anthony; Guillaudeau, Julien; Bertier, Christine; Feunteun, Eric

    2014-01-01

    Despite intensive research on eels, the behaviour of silver eels in estuaries during their migration remains poorly documented which creates serious gaps in planning the restoration of the European eel population. Estuaries are complex environments that can be exposed to large human pressures which could impede, delay migration or impact fish reproductive potential. This study investigated the estuarine migration of female silver eels in the Loire River using an acoustic telemetry system. An ...

  12. ANALYSIS ON THE PHENOMENON OF POPULATION'S MIGRATION IN ROMANIA

    OpenAIRE

    Nicoleta MATEOC-SÎRB; Teodor MATEOC; Camelia MĂNESCU; Ioan GRAD

    2014-01-01

    In this paper the authors analyze the migratory movement of population from Romania. Demographic dynamics of the last decade confirms that Romania's population declined. The demographic developments in Romania have mainly economic reasons (examples : migration, low birth rate, rural - urban migration). The comparative analysis of statistical data obtained in the population censuses of 2002 and 2011 shows that the most of the Romanian communities have lost population due to a negative natural ...

  13. Statistical analysis of the migration phenomenon

    Directory of Open Access Journals (Sweden)

    Alina - Andreea CRUCERU

    2010-11-01

    Full Text Available On the basis of economic conditions being devalued in Romania, more and more persons were forced to find a work place – be it temporary or permanent – outside of the country’s borders. This phenomenon of international migration has, as a main effect, the emergence of a special category of persons, respectively that of children left behind under the care of one of the parents or of other people. The situation of these minors is extremely difficult because, lacking the careful supervision of their evolution by their parents, they arefrequently confronted with problems of social adaptation, with learning difficulties and even with situations of willful breaking of legal norms.

  14. A Simple Geotracer Compositional Correlation Analysis Reveals Oil Charge and Migration Pathways

    Science.gov (United States)

    Yang, Yunlai; Arouri, Khaled

    2016-03-01

    A novel approach, based on geotracer compositional correlation analysis is reported, which reveals the oil charge sequence and migration pathways for five oil fields in Saudi Arabia. The geotracers utilised are carbazoles, a family of neutral pyrrolic nitrogen compounds known to occur naturally in crude oils. The approach is based on the concept that closely related fields, with respect to filling sequence, will show a higher carbazole compositional correlation, than those fields that are less related. That is, carbazole compositional correlation coefficients can quantify the charge and filling relationships among different fields. Consequently, oil migration pathways can be defined based on the established filling relationships. The compositional correlation coefficients of isomers of C1 and C2 carbazoles, and benzo[a]carbazole for all different combination pairs of the five fields were found to vary extremely widely (0.28 to 0.94). A wide range of compositional correlation coefficients allows adequate differentiation of separate filling relationships. Based on the established filling relationships, three distinct migration pathways were inferred, with each apparently being charged from a different part of a common source kitchen. The recognition of these charge and migration pathways will greatly aid the search for new accumulations.

  15. Sensitivity analysis of 3H migration in groundwater

    International Nuclear Information System (INIS)

    To identify the sensitive parameters in numerical simulation of radionuclide migration, a global sensitivity analysis model based on Latin hypercube sampling and Spearman partial rank correlation analysis methods is built. Sensitivities of key parameters at different periods of time are calculated. Spatial and temporal differences of parameter sensitivity are analyzed. The analysis results agree well with physical laws. This provides a basis for further work to calibrate the parameters and analyze the uncertainty. (authors)

  16. Security Analysis in the Migration to Cloud Environments

    Directory of Open Access Journals (Sweden)

    Eduardo Fernández-Medina

    2012-05-01

    Full Text Available Cloud computing is a new paradigm that combines several computing concepts and technologies of the Internet creating a platform for more agile and cost-effective business applications and IT infrastructure. The adoption of Cloud computing has been increasing for some time and the maturity of the market is steadily growing. Security is the question most consistently raised as consumers look to move their data and applications to the cloud. We justify the importance and motivation of security in the migration of legacy systems and we carry out an analysis of different approaches related to security in migration processes to cloud with the aim of finding the needs, concerns, requirements, aspects, opportunities and benefits of security in the migration process of legacy systems.

  17. Nuclide migration analysis in fractured rock

    International Nuclear Information System (INIS)

    This paper describes the results of PA studies considering heterogeneous fracture characteristics, for the purpose of contributing for the performance assessment of the natural barrier system PA in H12 report (The second progress report on research and development for the Geological Disposal of HLW in Japan). In this study, 3-D discrete fracture network model (DFN) and 1-D multiple pathways model is applied for 100 m scale of rock block. Although nuclide release rate calculated by DFN are widely distributed among the realizations, it is shown that several tens realizations are enough number to understand the stochastic characteristics of the nuclide release. From the data uncertainty analysis, there are no significant effects for the nuclide retardation in fracture geometry parameters such as fracture radius, density and etc. 1-D multiple pathways model is developed with focusing on the heterogeneity of the transmissivity, which has a large effect to the nuclide retardation effects. The nuclide release rate calculated by using 1-D multiple pathways model approximates to the results of DFN. This result also shows that the relatively large fractures/faults that connects disposal tunnel and downstream faults have an important role for performance assessment in natural barrier system. (author)

  18. Unsupervised Transient Light Curve Analysis Via Hierarchical Bayesian Inference

    CERN Document Server

    Sanders, Nathan; Soderberg, Alicia

    2014-01-01

    Historically, light curve studies of supernovae (SNe) and other transient classes have focused on individual objects with copious and high signal-to-noise observations. In the nascent era of wide field transient searches, objects with detailed observations are decreasing as a fraction of the overall known SN population, and this strategy sacrifices the majority of the information contained in the data about the underlying population of transients. A population level modeling approach, simultaneously fitting all available observations of objects in a transient sub-class of interest, fully mines the data to infer the properties of the population and avoids certain systematic biases. We present a novel hierarchical Bayesian statistical model for population level modeling of transient light curves, and discuss its implementation using an efficient Hamiltonian Monte Carlo technique. As a test case, we apply this model to the Type IIP SN sample from the Pan-STARRS1 Medium Deep Survey, consisting of 18,837 photometr...

  19. Radionuclide migration analysis using a discrete fracture network model

    International Nuclear Information System (INIS)

    This paper describes an approach for assessing the geosphere performance of nuclear waste disposal in fractured rock. In this approach, a three-dimensional heterogeneous channel-network model is constructed using a stochastic discrete fracture network (DFN) code. Radionuclide migration in the channel-network model is solved using the Laplace transform Galerkin finite element method, taking into account advection-dispersion in a fracture network, matrix diffusion, sorption in the rock matrix as well as radioactive chain decay. Preliminary radionuclide migration analysis was performed for fifty realizations of a synthetic block-scale DFN model. The total radionuclide release from all packages in the repository was estimated from the statistics of the results of fifty realizations under the hypothesis of ergodicity. The interpretation of the result of the three-dimensional network model by a combination of simpler one-dimensional parallel plate models is also discussed

  20. UNSUPERVISED TRANSIENT LIGHT CURVE ANALYSIS VIA HIERARCHICAL BAYESIAN INFERENCE

    Energy Technology Data Exchange (ETDEWEB)

    Sanders, N. E.; Soderberg, A. M. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Betancourt, M., E-mail: nsanders@cfa.harvard.edu [Department of Statistics, University of Warwick, Coventry CV4 7AL (United Kingdom)

    2015-02-10

    Historically, light curve studies of supernovae (SNe) and other transient classes have focused on individual objects with copious and high signal-to-noise observations. In the nascent era of wide field transient searches, objects with detailed observations are decreasing as a fraction of the overall known SN population, and this strategy sacrifices the majority of the information contained in the data about the underlying population of transients. A population level modeling approach, simultaneously fitting all available observations of objects in a transient sub-class of interest, fully mines the data to infer the properties of the population and avoids certain systematic biases. We present a novel hierarchical Bayesian statistical model for population level modeling of transient light curves, and discuss its implementation using an efficient Hamiltonian Monte Carlo technique. As a test case, we apply this model to the Type IIP SN sample from the Pan-STARRS1 Medium Deep Survey, consisting of 18,837 photometric observations of 76 SNe, corresponding to a joint posterior distribution with 9176 parameters under our model. Our hierarchical model fits provide improved constraints on light curve parameters relevant to the physical properties of their progenitor stars relative to modeling individual light curves alone. Moreover, we directly evaluate the probability for occurrence rates of unseen light curve characteristics from the model hyperparameters, addressing observational biases in survey methodology. We view this modeling framework as an unsupervised machine learning technique with the ability to maximize scientific returns from data to be collected by future wide field transient searches like LSST.

  1. ANALYSIS ON THE PHENOMENON OF POPULATION'S MIGRATION IN ROMANIA

    Directory of Open Access Journals (Sweden)

    Nicoleta MATEOC-SÎRB

    2014-04-01

    Full Text Available In this paper the authors analyze the migratory movement of population from Romania. Demographic dynamics of the last decade confirms that Romania's population declined. The demographic developments in Romania have mainly economic reasons (examples : migration, low birth rate, rural - urban migration. The comparative analysis of statistical data obtained in the population censuses of 2002 and 2011 shows that the most of the Romanian communities have lost population due to a negative natural and migratory growth. Fron the situation of the absent population ( migrants at the time of the population census, between 2002 and 2011 is that the number of those who have left home for longer periods has increased exponentially. Most of those absents from their home at the time of the last population census were living abroad. Romania needs a realistic vision of economic and social development in the coming decades. In defining and naming a strategy for sustainable development, population is the central element and from this perspective one of the strategy component should be to stop the demographic skidding. Simultaneously with the decrease of the total population, Romania records a demographic aging trend. The causes are both negative natural growth ( low birth rate combined with high mortality and also the migration phenomena. Projections show that these trends will persist on the medium and long term.

  2. Inference of Well-Typings for Logic Programs with Application to Termination Analysis

    DEFF Research Database (Denmark)

    Bruynooghe, M.; Gallagher, John Patrick; Humbeeck, W. Van

    A method is developed to infer a polymorphic well-typing for a logic program. Our motivation is to improve the automation of termination analysis by deriving types from which norms can automatically be constructed. Previous work on type-based termination analysis used either types declared by the...

  3. IN VITRO ANALYSIS OF MIGRATION ACTIVITY OF ENCEPHALYTOGENIC T CEL

    Directory of Open Access Journals (Sweden)

    M. A. Nosov

    2010-01-01

    Full Text Available Experimental autoimmune encephalomyelitis in an adoptive transfer model is caused by injecting animal with activated T cells specific for a CNS antigen, e.g., basic myelin protein. Development of autimmune inflammation in such a model is connected with changed functional stateof encephalytogenic (EG T cells in the coure of disease progression, as reflected by changes in their activation, proliferation and motility levels. Present work describes an original technique allowing for in vitro analysis of encephalytogenic T cell motility, and studying effects of certain compomemts of extracellular matrix upon migration and functional activities of EG T cells.

  4. Identification, Inference and Sensitivity Analysis for Causal Mediation Effects

    OpenAIRE

    Imai, Kosuke; Keele, Luke; Yamamoto, Teppei

    2010-01-01

    Causal mediation analysis is routinely conducted by applied researchers in a variety of disciplines. The goal of such an analysis is to investigate alternative causal mechanisms by examining the roles of intermediate variables that lie in the causal paths between the treatment and outcome variables. In this paper we first prove that under a particular version of sequential ignorability assumption, the average causal mediation effect (ACME) is nonparametrically identified. We compare our ident...

  5. Inferred vs realized patterns of gene flow: an analysis of population structure in the Andros Island Rock Iguana.

    Directory of Open Access Journals (Sweden)

    Giuliano Colosimo

    Full Text Available Ecological data, the primary source of information on patterns and rates of migration, can be integrated with genetic data to more accurately describe the realized connectivity between geographically isolated demes. In this paper we implement this approach and discuss its implications for managing populations of the endangered Andros Island Rock Iguana, Cyclura cychlura cychlura. This iguana is endemic to Andros, a highly fragmented landmass of large islands and smaller cays. Field observations suggest that geographically isolated demes were panmictic due to high, inferred rates of gene flow. We expand on these observations using 16 polymorphic microsatellites to investigate the genetic structure and rates of gene flow from 188 Andros Iguanas collected across 23 island sites. Bayesian clustering of specimens assigned individuals to three distinct genotypic clusters. An analysis of molecular variance (AMOVA indicates that allele frequency differences are responsible for a significant portion of the genetic variance across the three defined clusters (Fst =  0.117, p<<0.01. These clusters are associated with larger islands and satellite cays isolated by broad water channels with strong currents. These findings imply that broad water channels present greater obstacles to gene flow than was inferred from field observation alone. Additionally, rates of gene flow were indirectly estimated using BAYESASS 3.0. The proportion of individuals originating from within each identified cluster varied from 94.5 to 98.7%, providing further support for local isolation. Our assessment reveals a major disparity between inferred and realized gene flow. We discuss our results in a conservation perspective for species inhabiting highly fragmented landscapes.

  6. Inferred vs realized patterns of gene flow: an analysis of population structure in the Andros Island Rock Iguana.

    Science.gov (United States)

    Colosimo, Giuliano; Knapp, Charles R; Wallace, Lisa E; Welch, Mark E

    2014-01-01

    Ecological data, the primary source of information on patterns and rates of migration, can be integrated with genetic data to more accurately describe the realized connectivity between geographically isolated demes. In this paper we implement this approach and discuss its implications for managing populations of the endangered Andros Island Rock Iguana, Cyclura cychlura cychlura. This iguana is endemic to Andros, a highly fragmented landmass of large islands and smaller cays. Field observations suggest that geographically isolated demes were panmictic due to high, inferred rates of gene flow. We expand on these observations using 16 polymorphic microsatellites to investigate the genetic structure and rates of gene flow from 188 Andros Iguanas collected across 23 island sites. Bayesian clustering of specimens assigned individuals to three distinct genotypic clusters. An analysis of molecular variance (AMOVA) indicates that allele frequency differences are responsible for a significant portion of the genetic variance across the three defined clusters (Fst =  0.117, p<0.01). These clusters are associated with larger islands and satellite cays isolated by broad water channels with strong currents. These findings imply that broad water channels present greater obstacles to gene flow than was inferred from field observation alone. Additionally, rates of gene flow were indirectly estimated using BAYESASS 3.0. The proportion of individuals originating from within each identified cluster varied from 94.5 to 98.7%, providing further support for local isolation. Our assessment reveals a major disparity between inferred and realized gene flow. We discuss our results in a conservation perspective for species inhabiting highly fragmented landscapes. PMID:25229344

  7. Structural Analysis of Labor Market Transitions Using Indirect Inference

    DEFF Research Database (Denmark)

    An, Mark Yuing; Liu, Ming

    1996-01-01

    In the econometric analysis of labor market transitions, the data generating process is often specified as a continuous-time semi-Markovian process with a finite state space. With typically short panel data, analysts have long been concerne d with the initial conditions problem.......In the econometric analysis of labor market transitions, the data generating process is often specified as a continuous-time semi-Markovian process with a finite state space. With typically short panel data, analysts have long been concerne d with the initial conditions problem....

  8. Double path-integral migration velocity analysis: a real data example

    International Nuclear Information System (INIS)

    Path-integral imaging forms an image with no knowledge of the velocity model by summing over the migrated images obtained for a set of migration velocity models. Double path-integral imaging migration extracts the stationary velocities, i.e. those velocities at which common-image gathers align horizontally, as a byproduct. An application of the technique to a real data set demonstrates that quantitative information about the time migration velocity model can be determined by double path-integral migration velocity analysis. Migrated images using interpolations with different regularizations of the extracted velocities prove the high quality of the resulting time-migration velocity information. The so-obtained velocity model can then be used as a starting model for subsequent velocity analysis tools like migration tomography or other tomographic methods

  9. Quantitative Analysis on Carbon Migration in Double-Glow Discharge Plasma Surface Alloying Process

    Institute of Scientific and Technical Information of China (English)

    ZHANG Zhen-xia; WANG Cong-zeng; ZHANG Wen-quan; SU Xue-kuan

    2004-01-01

    Carbon migration is of great significance in double-glow discharge plasma surface alloying process, but literature of quantitative analysis about carbon migration is relatively scarce. In this paper differential equations of the carbon and metal concentration distribution were established. By means of differential equations carbon migration was described and a numerical solution was acquired. The computational results fit the experiment results quite well.

  10. The Culture of Mexican Migration: A Theoretical and Empirical Analysis.

    Science.gov (United States)

    Kandel, William; Massey, Douglas S.

    2002-01-01

    Examines a Mexican "culture of migration," in which U.S. migration becomes an expectation for young people. Among approximately 7,000 secondary students surveyed in Zacatecas (Mexico), adolescents from families involved in U.S. migration were more likely to aspire to live and work in the United States, increasing the likelihood they would drop out…

  11. Bayesian networks inference algorithm to implement Dempster Shafer theory in reliability analysis

    International Nuclear Information System (INIS)

    This paper deals with the use of Bayesian networks to compute system reliability. The reliability analysis problem is described and the usual methods for quantitative reliability analysis are presented within a case study. Some drawbacks that justify the use of Bayesian networks are identified. The basic concepts of the Bayesian networks application to reliability analysis are introduced and a model to compute the reliability for the case study is presented. Dempster Shafer theory to treat epistemic uncertainty in reliability analysis is then discussed and its basic concepts that can be applied thanks to the Bayesian network inference algorithm are introduced. Finally, it is shown, with a numerical example, how Bayesian networks' inference algorithms compute complex system reliability and what the Dempster Shafer theory can provide to reliability analysis

  12. Evaluation of Second-Level Inference in fMRI Analysis.

    Science.gov (United States)

    Roels, Sanne P; Loeys, Tom; Moerkerke, Beatrijs

    2016-01-01

    We investigate the impact of decisions in the second-level (i.e., over subjects) inferential process in functional magnetic resonance imaging on (1) the balance between false positives and false negatives and on (2) the data-analytical stability, both proxies for the reproducibility of results. Second-level analysis based on a mass univariate approach typically consists of 3 phases. First, one proceeds via a general linear model for a test image that consists of pooled information from different subjects. We evaluate models that take into account first-level (within-subjects) variability and models that do not take into account this variability. Second, one proceeds via inference based on parametrical assumptions or via permutation-based inference. Third, we evaluate 3 commonly used procedures to address the multiple testing problem: familywise error rate correction, False Discovery Rate (FDR) correction, and a two-step procedure with minimal cluster size. Based on a simulation study and real data we find that the two-step procedure with minimal cluster size results in most stable results, followed by the familywise error rate correction. The FDR results in most variable results, for both permutation-based inference and parametrical inference. Modeling the subject-specific variability yields a better balance between false positives and false negatives when using parametric inference. PMID:26819578

  13. Evaluation of Second-Level Inference in fMRI Analysis

    Directory of Open Access Journals (Sweden)

    Sanne P. Roels

    2016-01-01

    Full Text Available We investigate the impact of decisions in the second-level (i.e., over subjects inferential process in functional magnetic resonance imaging on (1 the balance between false positives and false negatives and on (2 the data-analytical stability, both proxies for the reproducibility of results. Second-level analysis based on a mass univariate approach typically consists of 3 phases. First, one proceeds via a general linear model for a test image that consists of pooled information from different subjects. We evaluate models that take into account first-level (within-subjects variability and models that do not take into account this variability. Second, one proceeds via inference based on parametrical assumptions or via permutation-based inference. Third, we evaluate 3 commonly used procedures to address the multiple testing problem: familywise error rate correction, False Discovery Rate (FDR correction, and a two-step procedure with minimal cluster size. Based on a simulation study and real data we find that the two-step procedure with minimal cluster size results in most stable results, followed by the familywise error rate correction. The FDR results in most variable results, for both permutation-based inference and parametrical inference. Modeling the subject-specific variability yields a better balance between false positives and false negatives when using parametric inference.

  14. Improving the accuracy of likelihood-based inference in meta-analysis and meta-regression

    OpenAIRE

    Kosmidis, Ioannis; Guolo, Annamaria; Varin, Cristiano

    2015-01-01

    Random-effects models are frequently used to synthesise information from different studies in meta-analysis. While likelihood-based inference is attractive both in terms of limiting properties and in terms of implementation, its application in random-effects meta-analysis may result in misleading conclusions, especially when the number of studies is small to moderate. The current paper shows how methodology that reduces the asymptotic bias of the maximum likelihood estimator of the variance c...

  15. Fatty acid analysis as a tool to infer the diet in Illinois river otters (Lontra canadensis).

    Science.gov (United States)

    Satterthwaite-Phillips, Damian; Novakofski, Jan; Mateus-Pinilla, Nohra

    2014-01-01

    Fatty acids (FA) have recently been used in several studies to infer the diet in a number of species. While these studies have been largely successful, most have dealt with predators that have a fairly specialized diet. In this paper, we used FA analysis as a tool to infer the diet of the nearctic river otter (Lontra canadensis). The river otter is an opportunistic predator known to subsist on a wide variety of prey including, fishes, crayfish, molluscs, reptiles and amphibians, among others. We analyzed the principle components of 60 FA from otters and 25 potential prey species in Illinois, USA. Prey species came from 4 major taxonomic divisions: fishes, crayfish, molluscs and amphibians. Within each division, most, but not all, species had significantly different profiles. Using quantitative FA signature analysis, our results suggest that, by mass, fish species are the most significant component of Illinois River otters' diet (37.7 ± 1.0%). Molluscs ranked second (32.0 ± 0.8%), followed by amphibians (27.3 ± 4.3%), and finally, crayfish (3.0 ± 0.6%). Our analysis indicates that molluscs make up a larger portion of the otter diet than previously reported. Throughout much of the Midwest there have been numerous otter reintroduction efforts, many of which appear to be successful. In regions where mollusc species are endangered, these data are essential for management agencies to better understand the potential impact of otters on these species. Our analysis further suggests that quantitative FA signature analysis can be used to infer diet even when prey species are diverse, to the extent that their FA profiles differ. Better understanding of the otter's metabolism of FA would improve inferences of diet from FA analysis. PMID:26290705

  16. Macroeconomic Consequences of Global Endogenous Migration: a General Equilibrium Analysis

    OpenAIRE

    Borgy, Vladimir; Chojnicki, Xavier; Le Garrec, Gilles; Cyrille SCHWELLNUS

    2010-01-01

    In this paper, we analyze the consequences of endogenous migration flows over the coming decades in a dynamic general equilibrium model of the world economy. Such an approach has two major benefits. First, it offers a global perspective on the economic consequences of international migration flows by taking into account effects on both the destination and the origin regions. Second, by allowing migration flows to be related to economic fundamentals, they are determined endogenously in the mod...

  17. A Multilevel Analysis of Young Adult Migration, 1980-1998

    OpenAIRE

    Lee, Ji-Youn

    2002-01-01

    The primary objective of this research was to investigate the propensity to migrate the destination choices of young adults, and the importance of individual, household, and community characteristics in these migration choices. Using cohort data from the National Longitudinal Survey ofYouth79 from 1980 to 1998, this study specifies the set of individual-, household-, and community-level of determinants on migrat ion and then incorporates these variables in multivariate analyses to test their ...

  18. Analysis of gross migration profiles in England and Wales: some developments in classification

    OpenAIRE

    I Bracken; Bates, J.

    1983-01-01

    In this paper we describe the development and application of two approaches to the analysis of age and sex specific interarea migration. The data relate to local authority areas in England and Wales. These approaches are developments of established migration profile-fitting and cluster analytic methods. The paper shows how these methods have been used to develop complementary classifications from which potentially valuable criteria for migration analysis can emerge. The work described is part...

  19. Image Analysis of Soil Micromorphology: Feature Extraction, Segmentation, and Quality Inference

    Directory of Open Access Journals (Sweden)

    Petros Maragos

    2004-06-01

    Full Text Available We present an automated system that we have developed for estimation of the bioecological quality of soils using various image analysis methodologies. Its goal is to analyze soilsection images, extract features related to their micromorphology, and relate the visual features to various degrees of soil fertility inferred from biochemical characteristics of the soil. The image methodologies used range from low-level image processing tasks, such as nonlinear enhancement, multiscale analysis, geometric feature detection, and size distributions, to object-oriented analysis, such as segmentation, region texture, and shape analysis.

  20. Revised analysis of in-migrating workers during site characterization

    International Nuclear Information System (INIS)

    The Deaf Smith Environmental Assessment's analysis of in-migrating workers and community service impacts was predicated on the assumption that a peak of approximately 480 workers would be needed on location to conduct site characterization activities. This analysis assumed that DOE's prime contractor(s) would have a limited staff in the area; the majority of the workers would be on site for the construction of the exploratory shaft and to conduct geologic and environmental studies. Since the time when the Environmental Assessment was prepared, the prime contractors [Battelle-ISSC and the Technical Field Service Contractor (TFSC)] were requested to move their offices to the site area. Therefore, many more administrative and technical workers would be expected to relocate in the Deaf Smith County regions. A change in the expected number of in-migrants could also change the expected nature of community service impacts. It is the purpose of this analysis to evaluate the site characterization workforce and thresholds for local community services. 22 refs., 24 tabs

  1. Type Ia Supernova Light Curve Inference: Hierarchical Bayesian Analysis in the Near Infrared

    CERN Document Server

    Mandel, Kaisey S; Friedman, Andrew S; Kirshner, Robert P

    2009-01-01

    We present a comprehensive statistical analysis of the properties of Type Ia SN light curves in the near infrared using recent data from PAIRITEL and the literature. We construct a hierarchical Bayesian framework, incorporating several uncertainties including photometric error, peculiar velocities, dust extinction and intrinsic variations, for coherent statistical inference. SN Ia light curve inferences are drawn from the global posterior probability of parameters describing both individual supernovae and the population conditioned on the entire SN Ia NIR dataset. The logical structure of the hierarchical Bayesian model is represented by a directed acyclic graph. Fully Bayesian analysis of the model and data is enabled by an efficient MCMC algorithm exploiting the conditional structure using Gibbs sampling. We apply this framework to the JHK_s SN Ia light curve data. A new light curve model captures the observed J-band light curve shape variations. The intrinsic variances in peak absolute magnitudes are: sigm...

  2. Analysis of primary cilia in directional cell migration in fibroblasts

    DEFF Research Database (Denmark)

    Christensen, Søren Tvorup; Veland, Iben; Schwab, Albrecht;

    2013-01-01

    Early studies of migrating fibroblasts showed that primary cilia orient in front of the nucleus and point toward the leading edge. Recent work has shown that primary cilia coordinate a series of signaling pathways critical to fibroblast cell migration during development and in wound healing. In p...

  3. Inference of Disease-Related Molecular Logic from Systems-Based Microarray Analysis

    OpenAIRE

    Varadan, Vinay; Anastassiou, Dimitris

    2006-01-01

    Computational analysis of gene expression data from microarrays has been useful for medical diagnosis and prognosis. The ability to analyze such data at the level of biological modules, rather than individual genes, has been recognized as important for improving our understanding of disease-related pathways. It has proved difficult, however, to infer pathways from microarray data by deriving modules of multiple synergistically interrelated genes, rather than individual genes. Here we propose ...

  4. ANALYSIS OF POPULATION MIGRATION AS A CRIMINOGENIC FACTOR

    Directory of Open Access Journals (Sweden)

    Mariana MITRA-NIŢĂ

    2016-07-01

    Full Text Available Migration is a voluntary movement of population from one geographic location to another. This movement can be of several types, depending on the cause determining the respective migration. Population movements or its mobility is not a new phenomenon but has deep roots in ancient history. We can even say that in the beginning man was migratory, nomadic and later it became steadfast, linked in some way to certain geographic locations. Population migration has multiple consequences, both positive and negative. Among the negative we can mention overpopulation or underpopulation of certain areas, heterogeneity of traditions and cultures of immigrants, inability of migratory population to adapt to the area they migrated to, not finding a job, marginalization, etc. All these are genuine and objective criminological factors that could actually cause committing crimes in the migratory population. We cannot and do not want to stop the mobility of people, but we can be careful to avoid harmful consequences caused by this phenomenon.

  5. An analysis of linguistic styles by inferred age in tv dramas.

    Science.gov (United States)

    Lee, Chang H; Park, Jongmin; Seo, Young Seok

    2006-10-01

    A language analysis program, Linguistic Inquiry and Word Count (LIWC), was successful in identifying various psychological variables. This study investigated the relationship between spoken language and age inferred from drama scripts of 162 characters, analyzed by the Korean-LIWC across 4 age categories (10-19, 20-39, 40-59, and 60-79 years). Analysis indicated that younger characters use fewer phrases, morphemes, nouns, auxiliary words, and adverbs than older characters, suggesting less cognitive development of younger characters. In addition, younger characters used less positive words for emotion and achievement than older characters. These data appear contrary to the negative stereotypes of aging people. PMID:17153803

  6. Trade, Migration and Productivity: A Quantitative Analysis of China

    OpenAIRE

    Trevor Tombe; Xiaodong Zhu

    2015-01-01

    We study how misallocation due to goods- and labour-market frictions affect aggregate productivity in China. Combining unique data with a general equilibrium model of internal and international trade, and migration across regions and sectors, we quantify the magnitude and consequences of trade and migration costs. The costs were high in 2000, but declined afterward. The decline accounts for roughly two-fifths of aggregate labour productivity growth in China between 2000 and 2005. Reductions i...

  7. Voltage security margin in power systems using fuzzy inference system and QV sensitivity analysis

    Energy Technology Data Exchange (ETDEWEB)

    Ceron, D.; Rios, M.; Herrera, T.; Torres, A. [Los Andes Univ., Bogota (Colombia)

    2009-07-01

    Voltage stability is a primary limiting phenomenon for different operating conditions in modern power systems. As a result of significant events related to this phenomenon, such as blackouts in large metropolitan centres around the world, there is a need to have diagnostic models for real time application. The importance of voltage collapse has increased in power systems security assessment. This paper discussed an approach to predict a security index of power systems for forecasted operating points based on a voltage security diagnostic and a modal analysis of QV sensitivity matrix in regard to the voltage stability modeling with fuzzy inference systems (ANFIS). The study involved local input variables such as active and reactive line power flows. The variables were then reduced by principal component analysis. In order to find a security index for the inference process, two methods were employed. One method utilized the loading parameter of the continuation power flow while the other method utilized a QV modal analysis criteria. The methodologies enabled the calculation of the distance from the current operation point to the collapse point. The approaches took into account different possible conditions in a day-ahead operating plan. The methodologies were then tested and validated with the RTS-96 single area and the computer times of each method were compared. Specifically, the paper presented the methodology in terms of database construction; contingency ranking; variable selection; and fuzzy inference process. The test results were also presented. It was concluded that fuzzy logic is a good identification tool based on the system behaviour data. 14 refs., 5 tabs., 5 figs.

  8. Design and Analysis of a Service Migration Framework

    DEFF Research Database (Denmark)

    Saeed, Aamir; Olsen, Rasmus Løvenstein; Pedersen, Jens Myrup

    2013-01-01

    another device. For such a need, an architecture is proposed to design and develop applications that migrate from one device to another and resume its operation. A simple application was constructed based on the proposed framework. Experiments were carried out to demonstrate its applicability, and to......Users often use several heterogeneous devices such as mobile phones, PDAs, tablets, handheld devices, PC and laptops to carry out their tasks. These user devices foster a needs for tasks migration from one device to another device at runtime, making it easier for the user to continue his task on...

  9. TYPE Ia SUPERNOVA LIGHT-CURVE INFERENCE: HIERARCHICAL BAYESIAN ANALYSIS IN THE NEAR-INFRARED

    International Nuclear Information System (INIS)

    We present a comprehensive statistical analysis of the properties of Type Ia supernova (SN Ia) light curves in the near-infrared using recent data from Peters Automated InfraRed Imaging TELescope and the literature. We construct a hierarchical Bayesian framework, incorporating several uncertainties including photometric error, peculiar velocities, dust extinction, and intrinsic variations, for principled and coherent statistical inference. SN Ia light-curve inferences are drawn from the global posterior probability of parameters describing both individual supernovae and the population conditioned on the entire SN Ia NIR data set. The logical structure of the hierarchical model is represented by a directed acyclic graph. Fully Bayesian analysis of the model and data is enabled by an efficient Markov Chain Monte Carlo algorithm exploiting the conditional probabilistic structure using Gibbs sampling. We apply this framework to the JHKs SN Ia light-curve data. A new light-curve model captures the observed J-band light-curve shape variations. The marginal intrinsic variances in peak absolute magnitudes are σ(MJ) = 0.17 ± 0.03, σ(MH) = 0.11 ± 0.03, and σ(MKs) = 0.19 ± 0.04. We describe the first quantitative evidence for correlations between the NIR absolute magnitudes and J-band light-curve shapes, and demonstrate their utility for distance estimation. The average residual in the Hubble diagram for the training set SNe at cz > 2000kms-1 is 0.10 mag. The new application of bootstrap cross-validation to SN Ia light-curve inference tests the sensitivity of the statistical model fit to the finite sample and estimates the prediction error at 0.15 mag. These results demonstrate that SN Ia NIR light curves are as effective as corrected optical light curves, and, because they are less vulnerable to dust absorption, they have great potential as precise and accurate cosmological distance indicators.

  10. Migration, distribution and population (stock) structure of shallow-water hake (Merluccius capensis) in the Benguela Current Large Marine Ecosystem inferred using a geostatistical population model

    DEFF Research Database (Denmark)

    Jansen, Teunis; Kristensen, Kasper; Kainge, Paulus Inekela;

    2016-01-01

    Shallow-water hake (Merluccius capensis) is of considerable ecological and economic importance in the Benguela Current Large Marine Ecosystem in South Africa and Namibia. Optimal management of the resource is currently constrained by the limited understanding of migration patterns and population...... distribution and population (stock) structure of M. capensis in the Benguela Current Large Marine Ecosystem......./nursery areas, through the juvenile phase and the adults' migration to the spawning areas outside/upstream of the nursery areas. This revealed some previously unknown migration patterns and indicated natal homing and the existence of three primary population components in the region, namely the Walvis (central...

  11. Performance Analysis of Software to Hardware Task Migration in Codesign

    CERN Document Server

    Sebai, Dorsaf; Bennour, Imed

    2010-01-01

    The complexity of multimedia applications in terms of intensity of computation and heterogeneity of treated data led the designers to embark them on multiprocessor systems on chip. The complexity of these systems on one hand and the expectations of the consumers on the other hand complicate the designers job to conceive and supply strong and successful systems in the shortest deadlines. They have to explore the different solutions of the design space and estimate their performances in order to deduce the solution that respects their design constraints. In this context, we propose the modeling of one of the design space possible solutions: the software to hardware task migration. This modeling exploits the synchronous dataflow graphs to take into account the different migration impacts and estimate their performances in terms of throughput.

  12. Average Consensus Analysis of Distributed Inference with Uncertain Markovian Transition Probability

    OpenAIRE

    Won Il Kim; Rong Xiong; Qiuguo Zhu; Jun Wu

    2013-01-01

    The average consensus problem of distributed inference in a wireless sensor network under Markovian communication topology of uncertain transition probability is studied. A sufficient condition for average consensus of linear distributed inference algorithm is presented. Based on linear matrix inequalities and numerical optimization, a design method of fast distributed inference is provided.

  13. Individual attitudes towards skilled migration: an empirical analysis across countries

    OpenAIRE

    Giovanni Facchini; Anna Maria Mayda

    2009-01-01

    It is commonly argued that skilled immigration benefits the destination country through several channels. Yet, only a small group of countries reports to have policies in place aimed at increasing the intake of skilled immigrants. Why? In this paper we analyze the factors that affect a direct measure of individual attitudes towards skilled migration, focusing on two main channels: the labor market and the welfare state. We find that more educated natives are less likely to favor skilled immig...

  14. Alkene ozonolysis SOA: inferences of composition and droplet growth kinetics from Köhler theory analysis

    Directory of Open Access Journals (Sweden)

    A. Asa-Awuku

    2007-06-01

    Full Text Available The CCN properties, surfactant characteristics, and droplet growth kinetics of secondary organic aerosol (SOA formed from the ozonolysis of three parent alkene hydrocarbons (terpinolene, 1-methlycycloheptene and cycloheptene are explored. Based on measurements of CCN activity, total carbon and inorganic ion concentrations, we estimate the average molar volume of the water-soluble organic component using Köhler Theory Analysis (KTA. The results suggest that the water-soluble organics in the SOA are composed of relatively low molecular weight species, with an effective molar mass less than 200 g mol−1. This finding is consistent with the speciated fraction for some of the SOA, and suggests that KTA can be applied to complex organic aerosol, such as that found in the atmosphere. From measurements of CCN activity and Köhler Theory, we apply a novel method to infer the surface tension at the point of activation; this is used to infer the presence of surface-active organics. It is found that the water-soluble carbon can be surface-active, depressing surface tension 10–15% from that of pure water at concentrations relevant for CCN activation. Although important, this level of surface tension depression is lower than expected for HULIS, which suggest that they are not likely in the SOA examined. In all cases, the CCN exhibit droplet growth kinetics similar to (NH42SO4.

  15. A Unified Method for Inference of Tokamak Equilibria and Validation of Force-Balance Models Based on Bayesian Analysis

    CERN Document Server

    von Nessi, G T

    2012-01-01

    A new method, based on Bayesian analysis, is presented which unifies the inference of plasma equilibria parameters in a Tokamak with the ability to quantify differences between inferred equilibria and Grad-Shafranov force-balance solutions. At the heart of this technique is the new method of observation splitting, which allows multiple forward models to be associated with a single diagnostic observation. This new idea subsequently provides a means by which the the space of GS solutions can be efficiently characterised via a prior distribution. Moreover, by folding force-balance directly into one set of forward models and utilising simple Biot-Savart responses in another, the Bayesian inference of the plasma parameters itself produces an evidence (a normalisation constant of the inferred posterior distribution) which is sensitive to the relative consistency between both sets of models. This evidence can then be used to help determine the relative accuracy of the tested force-balance model across several discha...

  16. CFD Analysis of Migration Mechanism of Source Term Under Severe Accident

    Institute of Scientific and Technical Information of China (English)

    CHEN; Lin-lin; SUN; Xue-ting; JI; Song-tao

    2013-01-01

    The analysis of the migration of source term under severe accident is one of the important aspects of‘Studies on Migration Mechanism of the Source Term under Severe Accident’,which is a significant task of the National Large Advanced PWR Research Program.This research aims at building up a method for analyzing fission product behavior in the containment with CFD code.The effect of PCCS(Passive

  17. Productivity gains from migration: An analysis of Cape Verdean return migrants

    OpenAIRE

    Rodrigues, Guilherme

    2015-01-01

    Are return migrants more productive than non-migrants? If so, is it a causal effect or simply self-selection? Existing literature has not reached a consensus on the role of return migration for origin countries. To answer these research questions, an empirical analysis was performed based on household data collected in Cape Verde. One of the most common identification problems in the migration literature is the presence of migrant self-selection. In order to disentangle potential sel...

  18. On statistical inference in time series analysis of the evolution of road safety.

    Science.gov (United States)

    Commandeur, Jacques J F; Bijleveld, Frits D; Bergel-Hayat, Ruth; Antoniou, Constantinos; Yannis, George; Papadimitriou, Eleonora

    2013-11-01

    Data collected for building a road safety observatory usually include observations made sequentially through time. Examples of such data, called time series data, include annual (or monthly) number of road traffic accidents, traffic fatalities or vehicle kilometers driven in a country, as well as the corresponding values of safety performance indicators (e.g., data on speeding, seat belt use, alcohol use, etc.). Some commonly used statistical techniques imply assumptions that are often violated by the special properties of time series data, namely serial dependency among disturbances associated with the observations. The first objective of this paper is to demonstrate the impact of such violations to the applicability of standard methods of statistical inference, which leads to an under or overestimation of the standard error and consequently may produce erroneous inferences. Moreover, having established the adverse consequences of ignoring serial dependency issues, the paper aims to describe rigorous statistical techniques used to overcome them. In particular, appropriate time series analysis techniques of varying complexity are employed to describe the development over time, relating the accident-occurrences to explanatory factors such as exposure measures or safety performance indicators, and forecasting the development into the near future. Traditional regression models (whether they are linear, generalized linear or nonlinear) are shown not to naturally capture the inherent dependencies in time series data. Dedicated time series analysis techniques, such as the ARMA-type and DRAG approaches are discussed next, followed by structural time series models, which are a subclass of state space methods. The paper concludes with general recommendations and practice guidelines for the use of time series models in road safety research. PMID:23260716

  19. Spatial analysis of internal migration by districts in Turkey: 1995-2000 period

    Directory of Open Access Journals (Sweden)

    Mustafa Yakar

    2012-04-01

    Full Text Available Normal 0 21 false false false TR X-NONE X-NONE MicrosoftInternetExplorer4 While entering 21st century, both the population and population mobility have increased considerably in Turkey. This phenomenon occurs in parallel with social change is caused by internal migration as well as population movements, without changing residence. The internal migrations are seen by the increasing size and the spatial distribution pattern. The aim of the study is to reveal the spatial distribution pattern of the internal migrations of Turkey by  county during 1995-2000 period. County-wide study of internal migration data county suggests more detailed and reliable results than those of provinces. According to the spatial analysis, internal migration in Turkey and the decomposition of assembly areas have been identified. In addition, effects of internal migration on population growth was determined by its spatial distribution. As a result, internal migrations in Turkey have varied by districts’ characteristics such as underdeveloped-developed, rural-urban, east-west, coastal-inland as well as other local and regional dynamics.             

  20. Migration of the Pee Dee River system inferred from ancestral paleochannels underlying the South Carolina Grand Strand and Long Bay inner shelf

    Science.gov (United States)

    Baldwin, W.E.; Morton, R.A.; Putney, T.R.; Katuna, M.P.; Harris, M.S.; Gayes, P.T.; Driscoll, N.W.; Denny, J.F.; Schwab, W.C.

    2006-01-01

    Several generations of the ancestral Pee Dee River system have been mapped beneath the South Carolina Grand Strand coastline and adjacent Long Bay inner shelf. Deep boreholes onshore and high-resolution seismic-reflection data offshore allow for reconstruction of these paleochannels, which formed during glacial lowstands, when the Pee Dee River system incised subaerially exposed coastal-plain and continental-shelf strata. Paleochannel groups, representing different generations of the system, decrease in age to the southwest, where the modern Pee Dee River merges with several coastal-plain tributaries at Winyah Bay, the southern terminus of Long Bay. Positions of the successive generational groups record a regional, southwestward migration of the river system that may have initiated during the late Pliocene. The migration was primarily driven by barrier-island deposition, resulting from the interaction of fluvial and shoreline processes during eustatic highstands. Structurally driven, subsurface paleotopography associated with the Mid-Carolina Platform High has also indirectly assisted in forcing this migration. These results provide a better understanding of the evolution of the region and help explain the lack of mobile sediment on the Long Bay inner shelf. Migration of the river system caused a profound change in sediment supply during the late Pleistocene. The abundant fluvial source that once fed sand-rich barrier islands was cut off and replaced with a limited source, supplied by erosion and reworking of former coastal deposits exposed at the shore and on the inner shelf.

  1. Analysis of Objects in Migratory Process of Identity Building in Transnational Migration Contexts

    Directory of Open Access Journals (Sweden)

    Jonathan Naní La Terra

    2012-05-01

    Full Text Available This paper proposes a methodological challenge in an attempt to provide new ways of looking at transnational phenomena, convinced of the need to seek new types of multi-sited research, interested in following and reconstruct the movement of people, objects and cultures. The article problematizes the real feasibility and the academic benefits of a research focused on the analysis and monitoring of objects used in rites and ceremonies in transnational migration contexts, promoting a new way of understanding the migration context that break the classical dichotomy destination/origin or community of origin/community of migrants abroad. Then I propose a new concept, the migratory between-space, with the intent to enrich the context of migration and to not let into oblivion one of the essential elements in the study of transnational migration, represented by the trip and the perception that migrants have about.

  2. Analysis of radionuclide migration from SFL 3-5

    Energy Technology Data Exchange (ETDEWEB)

    Pettersson, Michael; Skagius, K. [Kemakta Konsult AB, Stockholm (Sweden); Moreno, L. [Royal Inst. of Tech., Stockholm (Sweden). Dept. of Chemical Engineering and Technology

    1999-12-01

    A preliminary safety assessment has been performed of a deep repository for long-lived low- and intermediate-level. waste, SFL 3-5. The main objectives of the assessment is to evaluate the capacity of the facility to act as a barrier to the release of radionuclides and toxic pollutants, and to illustrate the importance of different site characteristics for the safety of the repository. The three hypothetical sites investigated are the same as those used for the safety assessment of a deep repository for spent fuel carried out in parallel to this work. This report concerns the modelling of the migration of radionuclides and toxic metals from SFL 3-5. The migration in the near field and the geosphere is modelled, and the resulting dose to man is estimated. The main part of this work is based on a reference scenario defined within the safety assessment. In addition, the effect of human activities has been investigated by analysing the consequences of a release of radionuclides and toxic metals to wells. From the completed study it can be concluded that the radionuclides of importance for the safety are those that are highly mobile and long-lived, e.g. {sup 36}Cl and {sup 93}Mo. In addition, the site where the repository is built has a significant influence on the safety. Two factors are particularly important: the water flow rate at the depth where the repository is located, and the ecosystem in the areas on the ground surface where releases may take place in the future. High water flow rate in the rock around the repository can be compensated for by better barriers in the near field. However, they must perform satisfactorily over a very long period of time.

  3. Bayesian Inference for Neural Electromagnetic Source Localization: Analysis of MEG Visual Evoked Activity

    International Nuclear Information System (INIS)

    We have developed a Bayesian approach to the analysis of neural electromagnetic (MEG/EEG) data that can incorporate or fuse information from other imaging modalities and addresses the ill-posed inverse problem by sarnpliig the many different solutions which could have produced the given data. From these samples one can draw probabilistic inferences about regions of activation. Our source model assumes a variable number of variable size cortical regions of stimulus-correlated activity. An active region consists of locations on the cortical surf ace, within a sphere centered on some location in cortex. The number and radi of active regions can vary to defined maximum values. The goal of the analysis is to determine the posterior probability distribution for the set of parameters that govern the number, location, and extent of active regions. Markov Chain Monte Carlo is used to generate a large sample of sets of parameters distributed according to the posterior distribution. This sample is representative of the many different source distributions that could account for given data, and allows identification of probable (i.e. consistent) features across solutions. Examples of the use of this analysis technique with both simulated and empirical MEG data are presented

  4. Bayesian Inference for Neural Electromagnetic Source Localization: Analysis of MEG Visual Evoked Activity

    Energy Technology Data Exchange (ETDEWEB)

    George, J.S.; Schmidt, D.M.; Wood, C.C.

    1999-02-01

    We have developed a Bayesian approach to the analysis of neural electromagnetic (MEG/EEG) data that can incorporate or fuse information from other imaging modalities and addresses the ill-posed inverse problem by sarnpliig the many different solutions which could have produced the given data. From these samples one can draw probabilistic inferences about regions of activation. Our source model assumes a variable number of variable size cortical regions of stimulus-correlated activity. An active region consists of locations on the cortical surf ace, within a sphere centered on some location in cortex. The number and radi of active regions can vary to defined maximum values. The goal of the analysis is to determine the posterior probability distribution for the set of parameters that govern the number, location, and extent of active regions. Markov Chain Monte Carlo is used to generate a large sample of sets of parameters distributed according to the posterior distribution. This sample is representative of the many different source distributions that could account for given data, and allows identification of probable (i.e. consistent) features across solutions. Examples of the use of this analysis technique with both simulated and empirical MEG data are presented.

  5. Uncertainty and sensitivity analysis of radionuclide migration in porous geologic medium

    International Nuclear Information System (INIS)

    3H and 90Sr from a selected LILW (low and intermediate level radioactive wastes) repository base are taken as a sample. Uncertainty of mathematical model on radionuclide migration in porous geologic medium are analyzed by using Latin hypercube sampling techniques for seven uncertain parameters about hydrology and radionuclide absorption. In addition, parameter sensitivity analysis is performed by Spearman's partial rank correlation analysis

  6. Statistical inference in the analysis of radiation compliance and its relation to treatment outcome

    International Nuclear Information System (INIS)

    A recent report in the literature was unable to associate the local--regional recurrence rates in breast cancer with deviations from the protocol's recommended dosages. The investigators proceeded to infer that there was acceptable leeway in the use of radiotherapy. The present manuscript examines the validity of certain statistical inferences drawn by these investigators

  7. The Analysis of Migration Processes in Russia According to the Census

    Directory of Open Access Journals (Sweden)

    Olga Dmitrievna Vorobieva

    2016-03-01

    Full Text Available The subject matter of the study is the internal migration of the Russian population from 1960 to 2010. The study is based on the information about the spatial population movements, published in the proceedings of the all-Union censuses of 1970, 1979, 1989, and of the all-Russian censuses of 2002 and 2010. The main flows and directions of migration are considered. The methodological analysis of the migration was performed by means of cross-cutting indicators to assess the dynamics of migration processes over a long period. Special attention is given to the rural-urban internal migration, as its volumes, patterns and impacts have not been adequately tested and evaluated to date. Relative indicators, which have not been used previously to assess the studied processes are proposed and calculated. To ensure the comparability of the materials of the censuses of the Soviet and post-Soviet periods under consideration, the economic zoning adopted prior to 2000 was used, and the uniformity of administrative scale was ensured. The hypothesis that from decade to decade, there was a decrease of the intensity of territorial mobility for both urban and rural populations is confirmed. The inter-regional migration flows are considered; the different trends and intensity of migration processes for more than four decades are specified. The dynamics of the structure of migrants on the basis of length of residence in the place of permanent residence in different regions is analyzed. The study has shown that the development and preservation of the prevailing trends in that period continues to adversely affect the territorial distribution of the population and the regional socio-economic development of the country. The findings can find their application in the correction of regional socio-economic and migration policies.

  8. The water maze paradigm in experimental studies of chronic cognitive disorders: Theory, protocols, analysis, and inference.

    Science.gov (United States)

    Kapadia, Minesh; Xu, Josie; Sakic, Boris

    2016-09-01

    An instrumental step in assessing the validity of animal models of chronic cognitive disorders is to document disease-related deficits in learning/memory capacity. The water maze (WM) is a popular paradigm because of its low cost, relatively simple protocol and short procedure time. Despite being broadly accepted as a spatial learning task, inference of generalized, bona fide "cognitive" dysfunction can be challenging because task accomplishment is also reliant on non-cognitive processes. We review theoretical background, testing procedures, confounding factors, as well as approaches to data analysis and interpretation. We also describe an extended protocol that has proven useful in detecting early performance deficits in murine models of neuropsychiatric lupus and Alzheimer's disease. Lastly, we highlight the need for standardization of inferential criteria on "cognitive" dysfunction in experimental rodents and exclusion of preparations of a limited scientific merit. A deeper appreciation for the multifactorial nature of performance in WM may also help to reveal other deficits that herald the onset of neurodegenerative brain disorders. PMID:27229758

  9. A preliminary analysis on metaheuristics methods applied to the Haplotype Inference Problem

    OpenAIRE

    Di Gaspero, Luca; Roli, Andrea

    2007-01-01

    Haplotype Inference is a challenging problem in bioinformatics that consists in inferring the basic genetic constitution of diploid organisms on the basis of their genotype. This information allows researchers to perform association studies for the genetic variants involved in diseases and the individual responses to therapeutic agents. A notable approach to the problem is to encode it as a combinatorial problem (under certain hypotheses, such as the pure parsimony criterion) and to solve it ...

  10. Statistical Inference

    CERN Document Server

    Casella, George

    2002-01-01

    "Statistical Inference is a delightfully modern text on statistical theory and deserves serious consideration from every teacher of a graduate- or advanced undergraduate-level first course in statistical theory. . . Chapters 1-5 provide plenty of interesting examples illustrating either the basic concepts of probability or the basic techniques of finding distribution. . . The book has unique features [throughout Chapters 6-12] for example, I have never seen in any comparable text such extensive discussion of ancillary statistics [Ch. 6], including Basu's theorem, dealing with the independence of complete sufficient statistics and ancillary statistics. Basu's theorem is such a useful tool that it should be available to every graduate student of statistics. . . The derivation of the analysis of variance (ANOVA)F test in Chapter 11 via the union-intersection principle is very nice. . . Chapter 12 contains, in addition to the standard regression model, errors-in-variables models. This topic will be of considerabl...

  11. Bear diet, seasonality and migration based on chemical multielemental teeth analysis

    Czech Academy of Sciences Publication Activity Database

    Nývltová Fišáková, Miriam; Galiová, M.; Kaiser, J.; Fortes, F. J.; Novotný, K.; Malina, R.; Prokeš, L.; Hrdlička, A.; Vaculovič, T.; Laserna, J. L.

    2009-01-01

    Roč. 50, 1-2 (2009), s. 27-34. ISSN 1211-7250 R&D Projects: GA AV ČR KJB800010701 Institutional research plan: CEZ:AV0Z80010507 Keywords : Mammalia * Upper Palaeolithic * Migration * Diet * Seasonality * Multielemental analysis * LIBS * LA-ICP-MS Subject RIV: AC - Archeology, Anthropology, Ethnology

  12. DESCRIPTIVE ANALYSIS OF THE INTERNATIONAL MIGRATION PHENOMENON IN ROMANIA BETWEEN 1991 AND 2008

    Directory of Open Access Journals (Sweden)

    Bac Dorin Paul

    2011-07-01

    Full Text Available Migration represented and represents a very important phenomenon at global level, taking into consideration besides its demographic implications, its extremely diverse implications such as socio-economic, socio-cultural, territorial, or environmental. This represents, probably, the main reason why the research on migration is interdisciplinary, having strong connections with sociology, political sciences, history, economics, geography, demography, psychology, or low, among others. All these disciplines target different aspects of population migration, and a proper comprehension of the phenomenon implies a contribution from the part of all of them. Although migration represents a phenomenon manifested since ancient times, it has never been such an universal or significant phenomenon from the socio-economical or political perspective, as it is in present times. International migration has both a negative and positive impact on both provider and receiving countries, in general playing a very important role in the structure and dimension of the population of a country. Romania is not an exception to the previously expressed statement; furthermore, after the fall of the communist regime, migration became for Romania one of the most important socio-economical phenomena. The present paper aims at analyzing in a descriptive manner the international migration phenomenon in Romania between 1991 and 2008, from quantitative perspective. Based on data identified in the "Statistical Yearbook of Romania - 2008 and 2009 editions - the analysis revealed the fact that both immigration and emigration flows registered oscillatory evolutions in the analysed period, but the general trend of immigration was of increasing, while the one of emigration was of decreasing. Immigration was dominated by the presence of males, of persons aged between 26 and 40 and of persons coming from the Republic of Moldova. On the other side, in the case of emigration the significant

  13. Disclosure-Protected Inference with Linked Microdata Using a Remote Analysis Server

    Directory of Open Access Journals (Sweden)

    Chipperfield James O.

    2014-03-01

    Full Text Available Large amounts of microdata are collected by data custodians in the form of censuses and administrative records. Often, data custodians will collect different information on the same individual. Many important questions can be answered by linking microdata collected by different data custodians. For this reason, there is very strong demand from analysts, within government, business, and universities, for linked microdata. However, many data custodians are legally obliged to ensure the risk of disclosing information about a person or organisation is acceptably low. Different authors have considered the problem of how to facilitate reliable statistical inference from analysis of linked microdata while ensuring that the risk of disclosure is acceptably low. This article considers the problem from the perspective of an Integrating Authority that, by definition, is trusted to link the microdata and to facilitate analysts’ access to the linked microdata via a remote server, which allows analysts to fit models and view the statistical output without being able to observe the underlying linked microdata. One disclosure risk that must be managed by an Integrating Authority is that one data custodian may use the microdata it supplied to the Integrating Authority and statistical output released from the remote server to disclose information about a person or organisation that was supplied by the other data custodian. This article considers analysis of only binary variables. The utility and disclosure risk of the proposed method are investigated both in a simulation and using a real example. This article shows that some popular protections against disclosure (dropping records, rounding regression coefficients or imposing restrictions on model selection can be ineffective in the above setting.

  14. All Source Analysis System (ASAS): Migration from VAX to Alpha AXP computer systems

    Science.gov (United States)

    Sjoholm-Sierchio, Michael J.; Friedman, Steven Z. (Editor)

    1994-01-01

    The Jet Propulsion Laboratory's (JPL's) experience migrating existing VAX applications to Digital Equipment Corporation's new Alpha AXP processor is covered. The rapid development approach used during the 10-month period required to migrate the All Source Analysis System (ASAS), 1.5 million lines of FORTRAN, C, and Ada code, is also covered. ASAS, an automated tactical intelligence system, was developed by the Jet Propulsion Laboratory for the U. S. Army. Other benefits achieved as a result of the significant performance improvements provided by Alpha AXP platform are also described.

  15. Learning Management System Migration: An Analysis of Stakeholder Perspectives

    Science.gov (United States)

    Ryan, Thomas G.; Toye, Mary; Charron, Kyle; Park, Gavin

    2012-01-01

    In this mixed methods study the authors describe the institution-level perceptions of stakeholders transitioning to a new learning management system (LMS). We address issues related to change, the institution's administration of the transition process, problems encountered, and realized learning via online survey data collection, analysis, and…

  16. EXAMINING CONSUMERS’ CHANNEL-MIGRATION INTENTION UTILIZING THEORY OF PLANNED BEHAVIOR: A MULTIGROUP ANALYSIS

    Directory of Open Access Journals (Sweden)

    Sanjukta Pookulangara

    2010-12-01

    Full Text Available This study examined channel-migration behavior using a decomposed Theory of Planned Behavior with crossover effects in brick-and-mortar stores and the Internet. An online survey was administered at four research sites (N = 547 and factor analysis and structural equation modeling, with multigroup analysis, were utilized for data analysis. Hedonic beliefs did not influence either of the channels, whereas, utilitarian beliefs were significant predictors in both brick-and-mortar stores and the Internet. Additionally, normative beliefs did not influence subjective norms in either of the channels, while self-efficacy influenced perceived behavioral control (PBC in both the channels. Attitude and subjective norms influenced channel-migration intentions for both channels; whereas, PBC was a significant predictor of channel-migration intentions on the Internet only. The crossover effects of normative beliefs and subjective norms on attitude was significant for the Internet. The crossover effects for subjective norms and PBC on attitude was significant for brick-and-mortar stores. Attitude toward channel migration from the Internet to brick-and-mortar stores yielded a negative influence.

  17. A preliminary analysis on metaheuristics methods applied to the Haplotype Inference Problem

    CERN Document Server

    Di Gaspero, Luca

    2007-01-01

    Haplotype Inference is a challenging problem in bioinformatics that consists in inferring the basic genetic constitution of diploid organisms on the basis of their genotype. This information allows researchers to perform association studies for the genetic variants involved in diseases and the individual responses to therapeutic agents. A notable approach to the problem is to encode it as a combinatorial problem (under certain hypotheses, such as the pure parsimony criterion) and to solve it using off-the-shelf combinatorial optimization techniques. The main methods applied to Haplotype Inference are either simple greedy heuristic or exact methods (Integer Linear Programming, Semidefinite Programming, SAT encoding) that, at present, are adequate only for moderate size instances. We believe that metaheuristic and hybrid approaches could provide a better scalability. Moreover, metaheuristics can be very easily combined with problem specific heuristics and they can also be integrated with tree-based search techn...

  18. Migration and child health inequities in Nigeria: a multilevel analysis of contextual- and individual-level factors

    OpenAIRE

    Antai, D.; Wedrén, S.; Bellocco, R; Moradi, T

    2010-01-01

    Objective: To assess the role of rural–urban migration in the risks of under-five death; to identify possible mechanisms through which migration may influence mortality; and to determine individual- and community-level relationships between migration status and under-five death. Method: Multilevel Cox regression analysis was used on a nationally representative sample of 6029 children from 2735 mothers aged 15–49 years and nested within 365 communities from the 2003 Nigeria Demographic and...

  19. Migration velocity analysis using residual diffraction moveout: a real-data example

    Science.gov (United States)

    Gonzalez, Jaime A. C.; de Figueiredo, José J. S.; Coimbra, Tiago A.; Schleicher, Jörg; Novais, Amélia

    2016-08-01

    Unfocused seismic diffraction events carry direct information about errors in the migration-velocity model. The residual-diffraction-moveout (RDM) migration-velocity-analysis (MVA) method is a recent technique that extracts this information by means of adjusting ellipses or hyperbolas to uncollapsed migrated diffractions. In this paper, we apply this method, which has been tested so far only on synthetic data, to a real data set from the Viking Graben. After application of a plane-wave-destruction (PWD) filter to attenuate the reflected energy, the diffractions in the real data become interpretable and can be used for the RDM method. Our analysis demonstrates that the reflections need not be completely removed for this purpose. Beyond the need to identify and select diffraction events in post-stack migrated sections in the depth domain, the method has a very low computational cost and processing time. To reach an acceptable velocity model of comparable quality as one obtained with common-midpoint (CMP) processing, only two iterations were necessary.

  20. Reassortment and migration analysis of Crimean-Congo haemorrhagic fever virus.

    Science.gov (United States)

    Zhou, Zhaorui; Deng, Fei; Han, Na; Wang, Hualin; Sun, Surong; Zhang, Yujiang; Hu, Zhihong; Rayner, Simon

    2013-11-01

    Crimean-Congo haemorrhagic fever virus (CCHFV) is a tick-borne virus with high pathogenicity to humans. CCHFV contains a three-segment [small (S), medium (M) and large (L)] genome and is prone to reassortment. Investigation of identified reassortment events can yield insight into the evolutionary history of the virus, while migration events reflect its geographical dissemination. While many studies have already considered these issues, they have investigated small numbers of isolates and lack statistical support for their findings. Here, we consider a larger set of 30 full genomes to investigate reassortment using recombination methods, as well as two sets of partial S segments comprising 393 isolates, reflecting a broader geographical range, to investigate migration events. Phylogenetic analysis revealed that the S segment showed strong geographical subdivision, but this was less apparent in the M and L segments. A total of 16 reassortment events with 22 isolates were identified with strong statistical support. Migration analysis on the partial S segments identified both long- and short-range migration events that spanned the entire geographical region in which the CCHFV has been isolated, reflecting the complex processes associated with the dissemination of the virus. PMID:23939975

  1. Inferring biological tasks using Pareto analysis of high-dimensional data.

    Science.gov (United States)

    Hart, Yuval; Sheftel, Hila; Hausser, Jean; Szekely, Pablo; Ben-Moshe, Noa Bossel; Korem, Yael; Tendler, Avichai; Mayo, Avraham E; Alon, Uri

    2015-03-01

    We present the Pareto task inference method (ParTI; http://www.weizmann.ac.il/mcb/UriAlon/download/ParTI) for inferring biological tasks from high-dimensional biological data. Data are described as a polytope, and features maximally enriched closest to the vertices (or archetypes) allow identification of the tasks the vertices represent. We demonstrate that human breast tumors and mouse tissues are well described by tetrahedrons in gene expression space, with specific tumor types and biological functions enriched at each of the vertices, suggesting four key tasks. PMID:25622107

  2. Vertical Migrating and Cluster Analysis of Soil Mesofauna at Dongying Halophytes Garden in Yellow River Delta

    Institute of Scientific and Technical Information of China (English)

    He Fu-xia; Xie Tong-yin; Xie Gui-lin; Fu Rong-shu

    2014-01-01

    For the first time, we used Tullgren method made a study on vertical migrating and cluster analysis of the soil mesofauna in Dongying Halophytes Garden in the Yellow River Delta (YRD), Shandong Province. The results showed that the soil mesofauna tended to gather on soil surface in most samples at most times, but the vertical migrating greatly varied in different seasons or environment conditions. Acari was the dominant group. The index of diversity of the soil fauna was correlated with the index of evenness. The Acari's number of individuals infected other species and numbers. Dominant group-Acari made greater contribution to the result of cluster analysis, and there were significant differences between communities in different habitats by cluster analysis with both Bray-Curtis and Jaccard similarity coefficient.

  3. Data basis for a site specific radioactive element migration analysis of a repository

    International Nuclear Information System (INIS)

    Migration analysis is of considerable importance in long-term safety analysis of radioactive waste repositories. As a first step the author calculates the transport of radionuclides using data, as far as possible, for an undisturbed hydrogeology. Thereby a reference case is defined. In a later step, possible events and processes can be considered leading to a deviation from the reference case. The present work gives the data base for a selected part of a comprehensive geosphere transport calculation. The report is restricted to a critical evaluation of parameters pertinent to the migration analysis of the 245Cm chain. This includes the important nuclide 237Np. For the first time it is possible to perform a site specific calculation for repositories planned in deep geologic formations in Switzerland. The well known fact that the data basis is extremely sparse is pointed out once more and concretized in detail. (Auth.)

  4. Scalable distributed service migration via Complex Networks Analysis

    CERN Document Server

    Pantazopoulos, Panagiotis; Stavrakakis, Ioannis

    2010-01-01

    With social networking sites providing increasingly richer context, User-Centric Service (UCS) creation is expected to explode following a similar success path to User-Generated Content. One of the major challenges in this emerging highly user-centric networking paradigm is how to make these exploding in numbers yet, individually, of vanishing demand services available in a cost-effective manner. Of prime importance to the latter (and focus of this paper) is the determination of the optimal location for hosting a UCS. Taking into account the particular characteristics of UCS, we formulate the problem as a facility location problem and devise a distributed and highly scalable heuristic solution to it. Key to the proposed approach is the introduction of a novel metric drawing on Complex Network Analysis. Given a current location of UCS, this metric helps to a) identify a small subgraph of nodes with high capacity to act as service demand concentrators; b) project on them a reduced yet accurate view of the globa...

  5. Uncertainty Reduction using Bayesian Inference and Sensitivity Analysis: A Sequential Approach to the NASA Langley Uncertainty Quantification Challenge

    Science.gov (United States)

    Sankararaman, Shankar

    2016-01-01

    This paper presents a computational framework for uncertainty characterization and propagation, and sensitivity analysis under the presence of aleatory and epistemic un- certainty, and develops a rigorous methodology for efficient refinement of epistemic un- certainty by identifying important epistemic variables that significantly affect the overall performance of an engineering system. The proposed methodology is illustrated using the NASA Langley Uncertainty Quantification Challenge (NASA-LUQC) problem that deals with uncertainty analysis of a generic transport model (GTM). First, Bayesian inference is used to infer subsystem-level epistemic quantities using the subsystem-level model and corresponding data. Second, tools of variance-based global sensitivity analysis are used to identify four important epistemic variables (this limitation specified in the NASA-LUQC is reflective of practical engineering situations where not all epistemic variables can be refined due to time/budget constraints) that significantly affect system-level performance. The most significant contribution of this paper is the development of the sequential refine- ment methodology, where epistemic variables for refinement are not identified all-at-once. Instead, only one variable is first identified, and then, Bayesian inference and global sensi- tivity calculations are repeated to identify the next important variable. This procedure is continued until all 4 variables are identified and the refinement in the system-level perfor- mance is computed. The advantages of the proposed sequential refinement methodology over the all-at-once uncertainty refinement approach are explained, and then applied to the NASA Langley Uncertainty Quantification Challenge problem.

  6. A Cautionary Analysis of STAPLE Using Direct Inference of Segmentation Truth

    DEFF Research Database (Denmark)

    Van Leemput, Koen; Sabuncu, Mert R.

    2014-01-01

    In this paper we analyze the properties of the well-known segmentation fusion algorithm STAPLE, using a novel inference technique that analytically marginalizes out all model parameters. We demonstrate both theoretically and empirically that when the number of raters is large, or when consensus...

  7. Inferring species richness and turnover by statistical multiresolution texture analysis of satellite imagery.

    Directory of Open Access Journals (Sweden)

    Matteo Convertino

    richness, or [Formula: see text] diversity, based on the Shannon entropy of pixel intensity.To test our approach, we specifically use the green band of Landsat images for a water conservation area in the Florida Everglades. We validate our predictions against data of species occurrences for a twenty-eight years long period for both wet and dry seasons. Our method correctly predicts 73% of species richness. For species turnover, the newly proposed KL divergence prediction performance is near 100% accurate. This represents a significant improvement over the more conventional Shannon entropy difference, which provides 85% accuracy. Furthermore, we find that changes in soil and water patterns, as measured by fluctuations of the Shannon entropy for the red and blue bands respectively, are positively correlated with changes in vegetation. The fluctuations are smaller in the wet season when compared to the dry season. CONCLUSIONS/SIGNIFICANCE: Texture-based statistical multiresolution image analysis is a promising method for quantifying interseasonal differences and, consequently, the degree to which vegetation, soil, and water patterns vary. The proposed automated method for quantifying species richness and turnover can also provide analysis at higher spatial and temporal resolution than is currently obtainable from expensive monitoring campaigns, thus enabling more prompt, more cost effective inference and decision making support regarding anomalous variations in biodiversity. Additionally, a matrix-based visualization of the statistical multiresolution analysis is presented to facilitate both insight and quick recognition of anomalous data.

  8. Labor Migration from Ukraine to the EU: an Analysis of Characteristics and Consequences

    Directory of Open Access Journals (Sweden)

    Bezrukova Nataliya V.

    2016-02-01

    Full Text Available The article is aimed at analyzing characteristics of labor migration from Ukraine to the European Union and evaluating the possible consequences of this process, as well as determining the future development trends in terms of emigration from Ukraine. The main directions of labor migration from Ukraine have been examined. An estimation of the volume of labor migration has been provided. Data about the socio-demographic characteristics of migrants have been presented. It is specified that the process of emigration has both positive and negative consequences for our country. Particular attention is paid to the analysis of employment settings of migrants in the Member States of the European Union. The main causes of emigration from Ukraine, among which both unemployment and low wages, have been allocated. The authors prove that the average monthly salary of Ukrainian migrants in the EU Member States is much higher than in Ukraine. On the basis of the carried out study has been concluded that labor migration from Ukraine to the EU has important socio-economic importance to our State. At the same time, signing of the Association agreement between Ukraine, on the one hand, and the European Union, the European Atomic Energy Community and their Member States, on the other hand, as well as introduction of a visa-free regime, will contribute to an increase in the number of labor migrants.

  9. Globalization, Development and International Migration: A Cross-National Analysis of Less-Developed Countries, 1970-2000

    Science.gov (United States)

    Sanderson, Matthew R.; Kentor, Jeffrey D.

    2009-01-01

    It is widely argued that globalization and economic development are associated with international migration. However, these relationships have not been tested empirically. We use a cross-national empirical analysis to assess the impact of global and national factors on international migration from less-developed countries. An interdisciplinary…

  10. Southern East Siberia PlioceneeQuaternary faults:Database, analysis and inference

    Institute of Scientific and Technical Information of China (English)

    Oksana V. Lunina; Riccardo Caputo; Anton A. Gladkov; Andrey S. Gladkov

    2014-01-01

    This paper presents the first release of an Informational System (IS) devoted to the systematic collection of all available data relating to PlioceneeQuaternary faults in southern East Siberia, their critical analysis and their seismotectonic parameterization. The final goal of this project is to form a new base for improving the assessment of seismic hazard and other natural processes associated with crustal defor-mation. The presented IS has been exploited to create a relational database of active and conditionally active faults in southern East Siberia (between 100º-114º E and 50º-57ºN) whose central sector is characterized by the highly seismic Baikal rift zone. The information within the database for each fault segment is organized as distinct but intercorrelated sections (tables, texts and pictures, etc.) and can be easily visualized as HTML pages in offline browsing. The preliminary version of the database distributed free on disk already highlights the general fault pattern showing that the Holocene and historical activity is quite uniform and dominated by NEeSW and nearly EeW trending faults;the former with a prevailing dip-slip normal kinematics, while the latter structures are left-lateral strike-slip and oblique-slip (with different proportion of left-lateral and normal fault slip components). These faults are mainly concen-trated along the borders of the rift basins and are the main sources of moderate-to-strong (M≧5.5) earthquakes on the southern sectors of East Siberia in recent times. As a whole, based on analyzing the diverse fault kinematics and their variable spatial distribution with respect to the overall pattern of the tectonic structures formed and/or activated during the late PlioceneeQuaternary, we conclude they were generated under a regional stress field mainly characterized by a relatively uniform NWeSE tension, but strongly influenced by the irregular hard boundary of the old Siberian craton. The obtained inferences are in an

  11. Temperature variability at Dürres Maar, Germany during the Migration Period and at High Medieval Times, inferred from stable carbon isotopes of Sphagnum cellulose

    Science.gov (United States)

    Moschen, R.; Kühl, N.; Peters, S.; Vos, H.; Lücke, A.

    2011-09-01

    This paper presents a high resolution reconstruction of local growing season temperature (GST) anomalies at Dürres Maar, Germany, spanning the last two millennia. The GST anomalies were derived from a stable carbon isotope time series of cellulose chemically extracted from Sphagnum leaves (δ13Ccellulose) separated from a kettle-hole peat deposit of several metres thickness. The temperature reconstruction is based on the Sphagnum δ13Ccellulose/temperature dependency observed in calibration studies. Reconstructed GST anomalies show considerable centennial and decadal scale variability. A cold and presumably wet phase with below-average temperature is reconstructed between the 4th and 7th century AD which is in accordance with the so called European Migration Period, marking the transition from the Late Roman Period to the Early Middle Ages. At High Medieval Times, the amplitude in the reconstructed temperature variability is most likely overestimated; nevertheless, above-average temperatures are obvious during this time span, which are followed by a temperature decrease. On the contrary, a pronounced Late Roman Climate Optimum, often described as similarly warm or even warmer as medieval times, could not be detected. The temperature signal of the Little Ice Age (LIA) is not preserved in Dürres Maar due to considerable peat cutting that takes place in the first half of the 19th century. The local GST anomalies show a remarkable agreement to northern hemispheric temperature reconstructions based on tree-ring datasets and are also in accordance with climate reconstructions on the basis of lake sediments, glacier advances and retreats, and historical datasets. Most notably, e.g., during the Early Middle Ages and at High Medieval Times, temperatures were neither low nor high in general. Rather high frequency temperature variability with multiple narrow intervals of below- and above-average temperatures at maximum lasting a few decades are reconstructed. Especially the

  12. Entropic Inference

    Science.gov (United States)

    Caticha, Ariel

    2011-03-01

    In this tutorial we review the essential arguments behing entropic inference. We focus on the epistemological notion of information and its relation to the Bayesian beliefs of rational agents. The problem of updating from a prior to a posterior probability distribution is tackled through an eliminative induction process that singles out the logarithmic relative entropy as the unique tool for inference. The resulting method of Maximum relative Entropy (ME), includes as special cases both MaxEnt and Bayes' rule, and therefore unifies the two themes of these workshops—the Maximum Entropy and the Bayesian methods—into a single general inference scheme.

  13. Entropic Inference

    CERN Document Server

    Caticha, Ariel

    2010-01-01

    In this tutorial we review the essential arguments behing entropic inference. We focus on the epistemological notion of information and its relation to the Bayesian beliefs of rational agents. The problem of updating from a prior to a posterior probability distribution is tackled through an eliminative induction process that singles out the logarithmic relative entropy as the unique tool for inference. The resulting method of Maximum relative Entropy (ME), includes as special cases both MaxEnt and Bayes' rule, and therefore unifies the two themes of these workshops -- the Maximum Entropy and the Bayesian methods -- into a single general inference scheme.

  14. The Quantitative Overhead Analysis for Effective Task Migration in Biosensor Networks

    OpenAIRE

    Sung-Min Jung; Tae-Kyung Kim; Jung-Ho Eom; Tai-Myoung Chung

    2013-01-01

    We present a quantitative overhead analysis for effective task migration in biosensor networks. A biosensor network is the key technology which can automatically provide accurate and specific parameters of a human in real time. Biosensor nodes are typically very small devices, so the use of computing resources is restricted. Due to the limitation of nodes, the biosensor network is vulnerable to an external attack against a system for exhausting system availability. Since biosensor nodes gener...

  15. Migration Experience and Premarital Sexual Initiation in Urban Kenya: An Event History Analysis

    OpenAIRE

    Luke, Nancy; Xu, Hongwei; Mberu, Blessing U.; Rachel E Goldberg

    2012-01-01

    Migration during the formative adolescent years can affect important life-course transitions, including the initiation of sexual activity. In this study, we use life history calendar data to investigate the relationship between changes in residence and timing of premarital sexual debut among young people in urban Kenya. By age 18, 64 percent of respondents had initiated premarital sex, and 45 percent had moved at least once between the ages of 12 and 18. Results of the event history analysis ...

  16. Temperature variability at Dürres Maar, Germany during the Migration Period and at High Medieval Times, inferred from stable carbon isotopes of Sphagnum cellulose

    Directory of Open Access Journals (Sweden)

    A. Lücke

    2011-09-01

    Full Text Available This paper presents a high resolution reconstruction of local growing season temperature (GST anomalies at Dürres Maar, Germany, spanning the last two millennia. The GST anomalies were derived from a stable carbon isotope time series of cellulose chemically extracted from Sphagnum leaves (δ13Ccellulose separated from a kettle-hole peat deposit of several metres thickness. The temperature reconstruction is based on the Sphagnum δ13Ccellulose/temperature dependency observed in calibration studies. Reconstructed GST anomalies show considerable centennial and decadal scale variability. A cold and presumably wet phase with below-average temperature is reconstructed between the 4th and 7th century AD which is in accordance with the so called European Migration Period, marking the transition from the Late Roman Period to the Early Middle Ages. At High Medieval Times, the amplitude in the reconstructed temperature variability is most likely overestimated; nevertheless, above-average temperatures are obvious during this time span, which are followed by a temperature decrease. On the contrary, a pronounced Late Roman Climate Optimum, often described as similarly warm or even warmer as medieval times, could not be detected. The temperature signal of the Little Ice Age (LIA is not preserved in Dürres Maar due to considerable peat cutting that takes place in the first half of the 19th century. The local GST anomalies show a remarkable agreement to northern hemispheric temperature reconstructions based on tree-ring datasets and are also in accordance with climate reconstructions on the basis of lake sediments, glacier advances and retreats, and historical datasets. Most notably, e.g., during the Early Middle Ages and at High Medieval Times, temperatures were neither low nor high in general. Rather high frequency temperature variability with multiple narrow intervals of below- and above-average temperatures at maximum lasting a few decades are

  17. Temperature variability at Dürres Maar, Germany during the migration period and at high medieval times, inferred from stable carbon isotopes of Sphagnum cellulose

    Directory of Open Access Journals (Sweden)

    R. Moschen

    2011-02-01

    Full Text Available This paper presents a high resolution reconstruction of local growing season temperature (GST anomalies at Dürres Maar, Germany, spanning the last two millennia. The GST anomalies were derived from a stable carbon isotope time series of cellulose chemically extracted from Sphagnum leaves (δ13Ccellulose separated from a kettle-hole peat deposit of several metres thickness. The temperature reconstruction is based on the Sphagnum δ13Ccellulose /temperature dependency observed in calibration studies. Reconstructed GST anomalies show considerable centennial and decadal scale variability. A cold and presumably also wet phase with below-average temperature is reconstructed between the 4th and 7th century AD which is in accordance with the so called European Migration Period marking the transition from the Late Roman Period to the Early Middle Ages. At High Medieval Times above-average temperatures are obvious followed by a temperature decrease. On the contrary, a pronounced Late Roman Climate Optimum, often described as similar warm or even warmer as medieval times, could not be detected. The temperature signal of the Little Ice Age (LIA is not preserved in Dürres Maar due to considerable peat cutting that takes place in the first half of the 19th century. The local GST anomalies show a remarkable agreement to northern hemispheric temperature reconstructions based on tree-ring data sets and are also in accordance with climate reconstructions on the basis of lake sediments, glacier advances and retreats, and historical data sets. Most notably, e.g. during the Early Middle Ages and at High Medieval Times, temperatures were not low or high in general. Rather high frequency temperature variability with multiple narrow intervals of below- and above-average temperatures at maximum lasting a few decades are reconstructed. Especially the agreements between our estimated GST anomalies and the NH

  18. Automated attribute inference in complex service workflows based on sharing analysis

    OpenAIRE

    Ivanovic, Dragan; Carro Liñares, Manuel; Hermenegildo, Manuel V.

    2011-01-01

    The properties of data and activities in business processes can be used to greatly facilítate several relevant tasks performed at design- and run-time, such as fragmentation, compliance checking, or top-down design. Business processes are often described using workflows. We present an approach for mechanically inferring business domain-specific attributes of workflow components (including data Ítems, activities, and elements of sub-workflows), taking as starting point known attrib...

  19. Men's and women's migration in coastal Ghana: An event history analysis

    Directory of Open Access Journals (Sweden)

    Holly E. Reed

    2010-04-01

    Full Text Available This article uses life history calendar (LHC data from coastal Ghana and event history statistical methods to examine inter-regional migration for men and women, focusing on four specific migration types: rural-urban, rural-rural, urban-urban, and urban-rural. Our analysis is unique because it examines how key determinants of migration-including education, employment, marital status, and childbearing-differ by sex for these four types of migration. We find that women are significantly less mobile than men overall, but that more educated women are more likely to move (particularly to urban areas than their male counterparts. Moreover, employment in the prior year is less of a deterrent to migration among women. While childbearing has a negative effect on migration, this impact is surprisingly stronger for men than for women, perhaps because women's search for assistance in childcare promotes migration. Meanwhile, being married or in union appears to have little effect on migration probabilities for either men or women. These results demonstrate the benefits of a LHC approach and suggest that migration research should further examine men's and women's mobility as it relates to both human capital and household and family dynamics, particularly in developing settings.

  20. Inferring common cognitive mechanisms from brain blood-flow lateralization data: a new methodology for fTCD analysis.

    Science.gov (United States)

    Meyer, Georg F; Spray, Amy; Fairlie, Jo E; Uomini, Natalie T

    2014-01-01

    Current neuroimaging techniques with high spatial resolution constrain participant motion so that many natural tasks cannot be carried out. The aim of this paper is to show how a time-locked correlation-analysis of cerebral blood flow velocity (CBFV) lateralization data, obtained with functional TransCranial Doppler (fTCD) ultrasound, can be used to infer cerebral activation patterns across tasks. In a first experiment we demonstrate that the proposed analysis method results in data that are comparable with the standard Lateralization Index (LI) for within-task comparisons of CBFV patterns, recorded during cued word generation (CWG) at two difficulty levels. In the main experiment we demonstrate that the proposed analysis method shows correlated blood-flow patterns for two different cognitive tasks that are known to draw on common brain areas, CWG, and Music Synthesis. We show that CBFV patterns for Music and CWG are correlated only for participants with prior musical training. CBFV patterns for tasks that draw on distinct brain areas, the Tower of London and CWG, are not correlated. The proposed methodology extends conventional fTCD analysis by including temporal information in the analysis of cerebral blood-flow patterns to provide a robust, non-invasive method to infer whether common brain areas are used in different cognitive tasks. It complements conventional high resolution imaging techniques. PMID:24982641

  1. Radiostereometric migration analysis of the Cerafit femoral stem: 28 patients followed for 2 years.

    Science.gov (United States)

    Tschunko, Franz; Wagner, Benedikt; Hong, Yutong; Söder, Stephan; Wölfel, Rainer; Müller, Lutz A; Forst, Raimund; Sesselmann, Stefan

    2016-06-01

    Radiostereometric analysis (RSA) is the gold standard evaluating micromovements after total hip arthroplasty. The aim of this study was to investigate the migratory pattern of an uncemented femoral stem during the first 2 years after surgery. We followed 28 patients with a mean age of 57 (SD 13) years for the first two postoperative years. Radiostereometric analysis was used to measure the translation and rotation of the femoral component. The Harris hip score (HHS) was determined to evaluate the clinical outcome. No stem had to be revised. The mean HHS advanced from 35 (SD 11) preoperative to 89 (SD 10) 1 year after surgery. At the end of the observation period, mean subsidence of the stem was 0.26 mm (SD 0.82). Maximum total point motion (MTPM) was 1.23 mm (SD 1.22). The main distal migration took place up to 6 weeks after surgery with nearly no further subsidence up to 2 years postoperatively. All the measured migrations of the hip stem were very small. Results of the HHS demonstrate good clinical outcome. Long-term RSA is necessary to assess possible late migration of the Cerafit standard femoral stem. PMID:25996482

  2. Analysis of life-time migration in the former Transkei, Eastern Cape.

    Science.gov (United States)

    Kalule-sabiti, I; Kahimbaara, J A

    1996-08-01

    The authors analyze internal migration in Transkei, South Africa. They "attempt to provide answers and explanations to the following issues: trends and patterns of internal migration, including migration fields of the sample urban places at varying stages (moves) in the migration cycle; characteristics of the migration process, including information sources or destinations (and whether destinations were visited before migration occurred), and reasons for migrating; individual characteristics of migrants including age-sex composition, education, marital status, economic activity, and time spent looking for a job; migration differentials, including household incomes, tenure of housing, household size, household composition, and fertility." (EXCERPT) PMID:12293065

  3. Analysis gives sensibility two models gives migration and transport gives radionuclides in the geosphere

    International Nuclear Information System (INIS)

    An sensibility analysis it was applied two models, the first one, a model compressible for the near field (I finish source) The second, a simple model gives migration and transport radionuclides in the geosphere. The study was developed varying the securities ed simultaneously at the same time each parameter and observing the results in changes in the output and input. The intention in analysis it is to determine the parameter that but it influences in the variation the concentration. The statistical technique Regression it was employee in the study. This statistical method is used to analyze the dependence between a dependent variable and an or but independent variables

  4. Inference for Multiplicative Models

    OpenAIRE

    Wexler, Ydo; Meek, Christopher

    2012-01-01

    The paper introduces a generalization for known probabilistic models such as log-linear and graphical models, called here multiplicative models. These models, that express probabilities via product of parameters are shown to capture multiple forms of contextual independence between variables, including decision graphs and noisy-OR functions. An inference algorithm for multiplicative models is provided and its correctness is proved. The complexity analysis of the inference algorithm uses a mor...

  5. Inference and Analysis of Population Structure Using Genetic Data and Network Theory.

    Science.gov (United States)

    Greenbaum, Gili; Templeton, Alan R; Bar-David, Shirli

    2016-04-01

    Clustering individuals to subpopulations based on genetic data has become commonplace in many genetic studies. Inference about population structure is most often done by applying model-based approaches, aided by visualization using distance-based approaches such as multidimensional scaling. While existing distance-based approaches suffer from a lack of statistical rigor, model-based approaches entail assumptions of prior conditions such as that the subpopulations are at Hardy-Weinberg equilibria. Here we present a distance-based approach for inference about population structure using genetic data by defining population structure using network theory terminology and methods. A network is constructed from a pairwise genetic-similarity matrix of all sampled individuals. The community partition, a partition of a network to dense subgraphs, is equated with population structure, a partition of the population to genetically related groups. Community-detection algorithms are used to partition the network into communities, interpreted as a partition of the population to subpopulations. The statistical significance of the structure can be estimated by using permutation tests to evaluate the significance of the partition's modularity, a network theory measure indicating the quality of community partitions. To further characterize population structure, a new measure of the strength of association (SA) for an individual to its assigned community is presented. The strength of association distribution (SAD) of the communities is analyzed to provide additional population structure characteristics, such as the relative amount of gene flow experienced by the different subpopulations and identification of hybrid individuals. Human genetic data and simulations are used to demonstrate the applicability of the analyses. The approach presented here provides a novel, computationally efficient model-free method for inference about population structure that does not entail assumption of

  6. Analysis of the Talmudic Argumentum A Fortiori Inference Rule (Kal-Vachomer) using Matrix Abduction

    OpenAIRE

    Abraham, Michael; Gabbay, Dov M.; Schild, U

    2009-01-01

    We motivate and introduce a new method of abduction, Matrix Abduction, and apply it to modelling the use of non-deductive inferences in the Talmud such as Ana- logy and the rule of Argumentum A Fortiori. Given a matrix A with entries in {0,1},we allow for one or more blank squares in the matrix, say ai,j=?. The method allows us to decide whether to declare ai,j=0 or ai,j=1 or ai,j=? undecided. This algorithmic method is then applied to modelling several legal and practical reasoning sit...

  7. Uncertainty Analysis in Fatigue Life Prediction of Gas Turbine Blades Using Bayesian Inference

    Science.gov (United States)

    Li, Yan-Feng; Zhu, Shun-Peng; Li, Jing; Peng, Weiwen; Huang, Hong-Zhong

    2015-12-01

    This paper investigates Bayesian model selection for fatigue life estimation of gas turbine blades considering model uncertainty and parameter uncertainty. Fatigue life estimation of gas turbine blades is a critical issue for the operation and health management of modern aircraft engines. Since lots of life prediction models have been presented to predict the fatigue life of gas turbine blades, model uncertainty and model selection among these models have consequently become an important issue in the lifecycle management of turbine blades. In this paper, fatigue life estimation is carried out by considering model uncertainty and parameter uncertainty simultaneously. It is formulated as the joint posterior distribution of a fatigue life prediction model and its model parameters using Bayesian inference method. Bayes factor is incorporated to implement the model selection with the quantified model uncertainty. Markov Chain Monte Carlo method is used to facilitate the calculation. A pictorial framework and a step-by-step procedure of the Bayesian inference method for fatigue life estimation considering model uncertainty are presented. Fatigue life estimation of a gas turbine blade is implemented to demonstrate the proposed method.

  8. The observation of Martian dune migration using very high resolution image analysis and photogrammetric data processing

    Science.gov (United States)

    Kim, Jungrack; Yun, Hyewon; Kim, Younghwi; Baik, Hyunseob

    2016-04-01

    Although the origins and processes of Martian aeolian features, especially dunes, have not been fully identified yet, it has been better understood by the orbital observation method which has led to the identification of Martian dune migration such as a case in Nili Patera (Bridges, 2012), and the numerical model employing advanced computational fluid dynamics (Jackson et al., 2015). Specifically, the recent introduction of very high-resolution image products, such as 25 cm-resolution HiRISE imagery and its precise photogrammetric processor, allows us to trace the estimated, although tiny, dune migration over the Martian surface. In this study, we attempted to improve the accuracy of active dune migration measurements by 1) the introduction of very high resolution ortho images and stereo analysis based on the hierarchical geodetic control (Kim and Muller, 2009) for better initial point settings; 2) positioning error removal throughout polynomial image control; and 3) the improved sub-pixel co-registration algorithms using optical flow with a refinement stage conducted on a pyramidal grid processor and a blunder classifier. Consequently, this scheme not only measured Martian dune migration more precisely, but it will further achieve the extension of 3D observations combining stereo analysis and photoclinometry. The established algorithms have been tested using the HiRISE time series images over several dune fields, such as the Kaiser, Procter, and Wirtz craters, which were reported by the Mars Global Digital Dune Database (Hayward et al., 2013). The detected dune migrations were significantly larger than previously reported values and slightly correlated with the wind directions estimated by Martian Climate Database (Bingham et al., 2003). The outcomes in our study will be demonstrated with the quantified values in 2D and volumetric direction. In the future, the method will be further applied to the dune fields in the Mars Global dune database comprehensively and

  9. In-chip fabrication of free-form 3D constructs for directed cell migration analysis

    DEFF Research Database (Denmark)

    Olsen, Mark Holm; Hjortø, Gertrud Malene; Hansen, Morten;

    2013-01-01

    Free-form constructs with three-dimensional (3D) microporosity were fabricated by two-photon polymerization inside the closed microchannel of an injection-molded, commercially available polymer chip for analysis of directed cell migration. Acrylate constructs were produced as woodpile topologies...... with a range of pore sizes from 5 × 5 μm to 15 × 15 μm and prefilled with fibrillar collagen. Dendritic cells seeded into the polymer chip in a concentration gradient of the chemoattractant CCL21 efficiently negotiated the microporous maze structure for pore sizes of 8 × 8 μm or larger. The cells...

  10. Improving PWR core simulations by Monte Carlo uncertainty analysis and Bayesian inference

    CERN Document Server

    Castro, Emilio; Buss, Oliver; Garcia-Herranz, Nuria; Hoefer, Axel; Porsch, Dieter

    2016-01-01

    A Monte Carlo-based Bayesian inference model is applied to the prediction of reactor operation parameters of a PWR nuclear power plant. In this non-perturbative framework, high-dimensional covariance information describing the uncertainty of microscopic nuclear data is combined with measured reactor operation data in order to provide statistically sound, well founded uncertainty estimates of integral parameters, such as the boron letdown curve and the burnup-dependent reactor power distribution. The performance of this methodology is assessed in a blind test approach, where we use measurements of a given reactor cycle to improve the prediction of the subsequent cycle. As it turns out, the resulting improvement of the prediction quality is impressive. In particular, the prediction uncertainty of the boron letdown curve, which is of utmost importance for the planning of the reactor cycle length, can be reduced by one order of magnitude by including the boron concentration measurement information of the previous...

  11. Large sample inference for a win ratio analysis of a composite outcome based on prioritized components.

    Science.gov (United States)

    Bebu, Ionut; Lachin, John M

    2016-01-01

    Composite outcomes are common in clinical trials, especially for multiple time-to-event outcomes (endpoints). The standard approach that uses the time to the first outcome event has important limitations. Several alternative approaches have been proposed to compare treatment versus control, including the proportion in favor of treatment and the win ratio. Herein, we construct tests of significance and confidence intervals in the context of composite outcomes based on prioritized components using the large sample distribution of certain multivariate multi-sample U-statistics. This non-parametric approach provides a general inference for both the proportion in favor of treatment and the win ratio, and can be extended to stratified analyses and the comparison of more than two groups. The proposed methods are illustrated with time-to-event outcomes data from a clinical trial. PMID:26353896

  12. Development and Comparative Analysis Of Fuzzy Inference Systems for Predicting Customer Buying Behavior

    Directory of Open Access Journals (Sweden)

    Gaurav Kumar Nayak

    2013-10-01

    Full Text Available The fuzzy inference system (FIS has been developed for predicting customer buying behavior. Three different methods: (grid partitioning, fuzzy c-means, subtractive have been used to getthe membership values during the fuzzification of inputs which is the first step in the creation of FIS. For each method, two different FIS models (Mamdani-type FIS and Sugeno-type FIS have been developed.ANFIS training is also done on the Sugeno-type FIS to tune the FIS parameters using the input/output training data. Finally, the comparison table has been prepared to list out the efficiencies in terms of accuracy for the different techniques used and thus finds out which method is the best for the particular system.

  13. Reverse inference of memory retrieval processes underlying metacognitive monitoring of learning using multivariate pattern analysis.

    Science.gov (United States)

    Stiers, Peter; Falbo, Luciana; Goulas, Alexandros; van Gog, Tamara; de Bruin, Anique

    2016-05-15

    Monitoring of learning is only accurate at some time after learning. It is thought that immediate monitoring is based on working memory, whereas later monitoring requires re-activation of stored items, yielding accurate judgements. Such interpretations are difficult to test because they require reverse inference, which presupposes specificity of brain activity for the hidden cognitive processes. We investigated whether multivariate pattern classification can provide this specificity. We used a word recall task to create single trial examples of immediate and long term retrieval and trained a learning algorithm to discriminate them. Next, participants performed a similar task involving monitoring instead of recall. The recall-trained classifier recognized the retrieval patterns underlying immediate and long term monitoring and classified delayed monitoring examples as long-term retrieval. This result demonstrates the feasibility of decoding cognitive processes, instead of their content. PMID:26883066

  14. Inferring the contribution of sexual reproduction, migration and off-season survival to the temporal maintenance of microbial populations: a case study on the wheat fungal pathogen Puccinia striiformis f.sp. tritici.

    Science.gov (United States)

    Ali, Sajid; Gladieux, Pierre; Rahman, Hidayatur; Saqib, Muhammad S; Fiaz, Muhammad; Ahmad, Habib; Leconte, Marc; Gautier, Angélique; Justesen, Annemarie F; Hovmøller, Mogens S; Enjalbert, Jérôme; de Vallavieille-Pope, Claude

    2014-02-01

    Understanding the mode of temporal maintenance of plant pathogens is an important domain of microbial ecology research. Due to the inconspicuous nature of microbes, their temporal maintenance cannot be studied directly through tracking individuals and their progeny. Here, we suggest a series of population genetic analyses on molecular marker variation in temporally spaced samples to infer about the relative contribution of sexual reproduction, off-season survival and migration to the temporal maintenance of pathogen populations. We used the proposed approach to investigate the temporal maintenance of wheat yellow rust pathogen, Puccinia striiformis f.sp. tritici (PST), in the Himalayan region of Pakistan. Multilocus microsatellite genotyping of PST isolates revealed high genotypic diversity and recombinant population structure across all locations, confirming the existence of sexual reproduction in this region. The genotypes were assigned to four genetic groups, revealing a clear differentiation between zones with and without Berberis spp., the alternate host of PST, with an additional subdivision within the Berberis zone. The lack of any differentiation between samples across two sampling years, and the very infrequent resampling of multilocus genotypes over years at a given location was consistent with limited over-year clonal survival, and a limited genetic drift. The off-season oversummering population in the Berberis zone, likely to be maintained locally, served as a source of migrants contributing to the temporal maintenance in the non-Berberis zone. Our study hence demonstrated the contribution of both sexual recombination and off-season oversummering survival to the temporal maintenance of the pathogen. These new insights into the population biology of PST highlight the general usefulness of the analytical approach proposed. PMID:24354737

  15. Analysis of models assessing the radionuclide migration from catchments to water bodies

    International Nuclear Information System (INIS)

    In this paper the analysis of models for assessing the migration of radioactive substances from catchments to water bodies was carried out. Comparisons are made between the mathematical form of the experimental dissolved radionuclide transfer functions (Transfer Function = the amount of radionuclide flowing per unit time from upstream drainage basin to a water body following a single-pulse deposition of radioactive substance) evaluated for rivers in Europe contaminated after the Chernobyl accident, with the open-quotes Green Functionsclose quotes (Green Function = the radionuclide flow per unit time from catchment to water body calculated by the model as a result of a single-pulse input deposition) characterizing some of the most common models. Generally transfer functions are the sum of some time-dependent exponential components. The analysis showed that two main components (a short-term and a long-term component) may be detected over a period of only a few years after the accident. The comparison of transfer functions and Green functions showed that (1) models based on the traditional concept of kd (the radionuclide partition coefficient soil-water) do not explain the higher value of the experimental long-term effective-decay constant for 137Cs compared with 90Sr; and (2) traditional models do not explain the nonlinear dependence of the flux (Bq s-1) of dissolved 90Sr migrating through a catchment as a function of the water flux. A semi-empirical model was developed to give reason for the above effects. This model is based on phenomena of water saturation in different soil layers and on the nonreversible processes responsible for the non-availability to migration of radionuclides. 12 refs., 4 figs., 7 tabs

  16. Inference of tumor evolution during chemotherapy by computational modeling and in situ analysis of genetic and phenotypic cellular diversity

    International Nuclear Information System (INIS)

    Cancer therapy exerts a strong selection pressure that shapes tumor evolution, yet our knowledge of how tumors change during treatment is limited. Here, we report the analysis of cellular heterogeneity for genetic and phenotypic features and their spatial distribution in breast tumors pre- and post-neoadjuvant chemotherapy. We found that intratumor genetic diversity was tumor-subtype specific, and it did not change during treatment in tumors with partial or no response. However, lower pretreatment genetic diversity was significantly associated with pathologic complete response. In contrast, phenotypic diversity was different between pre- and post-treatment samples. We also observed significant changes in the spatial distribution of cells with distinct genetic and phenotypic features. We used these experimental data to develop a stochastic computational model to infer tumor growth patterns and evolutionary dynamics. Our results highlight the importance of integrated analysis of genotypes and phenotypes of single cells in intact tissues to predict tumor evolution

  17. Migration and the Sending Economy: A Disaggregated Rural Economy Wide Analysis

    OpenAIRE

    Taylor, J. Edward; Dyer, George

    2006-01-01

    Most economic research on migration impacts in source economies focuses on the households that send migrants and receive remittances, ignoring linkages that transmit migration's influences to others in local and regional economies. This paper offers an alternative, disaggregated economy wide perspective on migration and its impacts. It presents and illustrates a methodology to understand not only migration's effects on migrant-sending households, but also the ways in which these households ...

  18. Methods of quantitative and qualitative analysis of bird migration with a tracking radar

    Science.gov (United States)

    Bruderer, B.; Steidinger, P.

    1972-01-01

    Methods of analyzing bird migration by using tracking radar are discussed. The procedure for assessing the rate of bird passage is described. Three topics are presented concerning the grouping of nocturnal migrants, the velocity of migratory flight, and identification of species by radar echoes. The height and volume of migration under different weather conditions are examined. The methods for studying the directions of migration and the correlation between winds and the height and direction of migrating birds are presented.

  19. Analysis of Phthalate Migration to Food Simulants in Plastic Containers during Microwave Operations

    Directory of Open Access Journals (Sweden)

    Miriany A. Moreira

    2013-12-01

    Full Text Available Phthalates used as plasticizers in the manufacture of household containers can potentially be transferred to foods that are stored or heated in these plastic containers. Phthalates are endocrine disruptor compounds (EDC and are found in very low concentrations in foods, thus, highly sensitive analytical techniques are required for their quantification. This study describes the application of a new method developed for analyzing the migration of dibutylphthalate (DBP and benzylbutylphthalate (BBP from plastic food containers into liquid food simulants. This new method employs the technique of solid phase microextraction cooled with liquid nitrogen. The analysis was conducted by gas chromatography/mass spectrometry (GC/MS using a polyacrylate fiber. Ultrapure water was used as a simulant for liquids foods, and both new and used plastic containers were placed in a domestic microwave oven for different periods of time at different power levels. The limits of detection for DBP and BBP were 0.08 µg/L and 0.31 µg/L, respectively. BBP was not found in the samples that were analyzed. DBP was found in concentrations ranging from migration was observed in containers that were used for a prolonged time, which correlated with increasing heating time.

  20. Phylogenetic analysis reveals the global migration of seasonal influenza A viruses.

    Directory of Open Access Journals (Sweden)

    Martha I Nelson

    2007-09-01

    Full Text Available The winter seasonality of influenza A virus in temperate climates is one of the most widely recognized, yet least understood, epidemiological patterns in infectious disease. Central to understanding what drives the seasonal emergence of this important human pathogen is determining what becomes of the virus during the non-epidemic summer months. Herein, we take a step towards elucidating the seasonal emergence of influenza virus by determining the evolutionary relationship between populations of influenza A virus sampled from opposite hemispheres. We conducted a phylogenetic analysis of 487 complete genomes of human influenza A/H3N2 viruses collected between 1999 and 2005 from Australia and New Zealand in the southern hemisphere, and a representative sub-sample of viral genome sequences from 413 isolates collected in New York state, United States, representing the northern hemisphere. We show that even in areas as relatively geographically isolated as New Zealand's South Island and Western Australia, global viral migration contributes significantly to the seasonal emergence of influenza A epidemics, and that this migration has no clear directional pattern. These observations run counter to suggestions that local epidemics are triggered by the climate-driven reactivation of influenza viruses that remain latent within hosts between seasons or transmit at low efficiency between seasons. However, a complete understanding of the seasonal movements of influenza A virus will require greatly expanded global surveillance, particularly of tropical regions where the virus circulates year-round, and during non-epidemic periods in temperate climate areas.

  1. From operations to cognitive tools: new unit of analysis and emergence of the inference-making child

    Directory of Open Access Journals (Sweden)

    HUGO ESCOBAR MELO

    2002-07-01

    Full Text Available This article discusses the passage between the analysis unit used by Piaget in his theory of thinkingoperations, going from the in-action-theories from Inhelder, to the cognitive-scientific tools inside themark of recognizing that the young child uses in a spontaneous way an improving rationality in thecontext of solving problems in an architecture half-end. It stands out the way how questions andepistemic archetypes change in the children studies, unblocking the cognition of a partial and fracturedlook that shadowed it, not letting show out his real functioning, action coordination and the constructionof audacious representations. One resorts is to investigative the landmarks of the Ginebra schooland its later followers post-Inhelderians. The child is thought as a subject that makes inferences whenhe recognizes incongruence and uncongenial completing and improving the reality that his culturalcontext builds.

  2. PHYLOViZ Online: web-based tool for visualization, phylogenetic inference, analysis and sharing of minimum spanning trees.

    Science.gov (United States)

    Ribeiro-Gonçalves, Bruno; Francisco, Alexandre P; Vaz, Cátia; Ramirez, Mário; Carriço, João André

    2016-07-01

    High-throughput sequencing methods generated allele and single nucleotide polymorphism information for thousands of bacterial strains that are publicly available in online repositories and created the possibility of generating similar information for hundreds to thousands of strains more in a single study. Minimum spanning tree analysis of allelic data offers a scalable and reproducible methodological alternative to traditional phylogenetic inference approaches, useful in epidemiological investigations and population studies of bacterial pathogens. PHYLOViZ Online was developed to allow users to do these analyses without software installation and to enable easy accessing and sharing of data and analyses results from any Internet enabled computer. PHYLOViZ Online also offers a RESTful API for programmatic access to data and algorithms, allowing it to be seamlessly integrated into any third party web service or software. PHYLOViZ Online is freely available at https://online.phyloviz.net. PMID:27131357

  3. Statistical inference

    CERN Document Server

    Rohatgi, Vijay K

    2003-01-01

    Unified treatment of probability and statistics examines and analyzes the relationship between the two fields, exploring inferential issues. Numerous problems, examples, and diagrams--some with solutions--plus clear-cut, highlighted summaries of results. Advanced undergraduate to graduate level. Contents: 1. Introduction. 2. Probability Model. 3. Probability Distributions. 4. Introduction to Statistical Inference. 5. More on Mathematical Expectation. 6. Some Discrete Models. 7. Some Continuous Models. 8. Functions of Random Variables and Random Vectors. 9. Large-Sample Theory. 10. General Meth

  4. Uncertainty in rock properties: Implications for analysis of radionuclide migration in heterogeneous bedrock

    International Nuclear Information System (INIS)

    A basic rationale for the current study is that site investigations in connection with the planning of the final repository for high radioactive waste will provide only fragmentary (discrete) information of the bedrock properties. Since the bedrock displays generally a significant heterogeneity in most properties of relevance to radionuclide migration, there will be uncertainties about the barrier effect provided by the bedrock towards accidental leakage of radionuclides from the repository. This paper shows how the heterogeneity in the bedrock properties has two fundamentally different implications for an analysis of radionuclide transport. First, the actual variation of bedrock properties causes migrating nuclides to encounter a certain (known) distribution of properties along their transport path. The associated effect does not depend on the spatial correlation of properties (auto-covariance), but does depend on the variance and cross-correlation between the properties. A second effect is due to the uncertainty about the statistical representativity of properties along an individual transport path, which is related to the discrete measuring technique. This effect can, generally, be considered to be the main effect of the heterogeneity of the bedrock on analysis of solute transport. By analysis of an ensemble of equally probable realisations of the transport along an individual path we were able to express the expected values of the mean and variance of the residence time PDF for radionuclides travelling in a single fracture. The 'uncertainty effect' is significant if a certain sum of H-terms is much larger than unity. Based on geostatistical information for the Swedish granitic bedrock, the effect of uncertainty of bedrock properties on the transport of radionuclides can be important for fractures thinner than about 0.1 mm. The geostatistical information was obtained through sampling drill-cores at the Aespoe Hard Rock Laboratory and performing a large number of

  5. Analysis of plasmaspheric hiss wave amplitudes inferred from low-altitude POES electron data: Technique sensitivity analysis

    Science.gov (United States)

    Soria-Santacruz, M.; Li, W.; Thorne, R. M.; Ma, Q.; Bortnik, J.; Ni, B.; Kletzing, C. A.; Kurth, W. S.; Hospodarsky, G. B.; Spence, H. E.; Reeves, G. D.; Blake, J. B.; Fennell, J. F.

    2015-05-01

    A novel technique capable of inferring wave amplitudes from low-altitude electron measurements from the Polar Operational Environmental Satellites (POES) spacecraft has been previously proposed to construct a global dynamic model of chorus and plasmaspheric hiss waves. In this paper we focus on plasmaspheric hiss, which is an incoherent broadband emission that plays a dominant role in the loss of energetic electrons from the inner magnetosphere. We analyze the sensitivity of the POES technique to different inputs used to infer the hiss wave amplitudes during three conjunction events with the Van Allen Probes. These amplitudes are calculated with different input models of the plasma density, wave frequency spectrum, and electron energy spectrum, and the results are compared to the wave observations from the twin Van Allen Probes. Only one parameter is varied at a time in order to isolate its effect on the output, while the two other inputs are set to the values observed by the Van Allen Probes. The results show that the predicted hiss amplitudes are most sensitive to the adopted frequency spectrum, followed by the plasma density, but they are not very sensitive to the electron energy spectrum. Moreover, the standard Gaussian representation of the wave frequency spectrum (centered at 550 Hz) peaks at frequencies that are much higher than those observed in individual cases as well as in statistical wave distributions, which produces large overestimates of the hiss wave amplitude. For this reason, a realistic statistical model of the wave frequency spectrum should be used in the POES technique to infer the plasmaspheric hiss wave intensity rather than a standard Gaussian distribution, since the former better reproduces the observed plasmaspheric hiss wave amplitudes.

  6. Thermodynamic analysis of carbon migration in W1-1.0C steel in plasma surface chromizing

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    W1-1.0C steel was chromized at 1173 K with double glow plasma surface alloying process, and the distribution of Fe, Cr,and C contents in the chromized layer was measured using glow discharge spectrum analysis (GDA).The behavior and mechanism of carbon migration during the formation of chromized layer were studied through thermodynamic analysis and calculation.The gradient of carbon chemical potential was regarded as the driving force of carbon migration.An equation was derived to describe the carbon content varying with the chromium content within the carbon-rich region.The calculated results from the equation approximated closely to the experimental ones.

  7. An agent-based model to rural-urban migration analysis

    CERN Document Server

    Silveira, J J; Penna, T J P; Silveira, Jaylson J.; Espindola, Aquino L.

    2005-01-01

    In this paper we analyze the rural-urban migration phenomena as it is usually observed in economies which are in the early stages of industrialization. The analysis is conducted by means of a statistical mechanics approach which builds a computational agent-based model. Agents are placed on a lattice and the connections among them are described via an Ising like model. Simulations on this computational model show some emergent properties that are common in developing economies, such as a transitional dynamics characterized by continuous growth of urban population, followed by the equalization of expected wages between rural and urban sectors (Harris-Todaro equilibrium condition), urban concentration and increasing of per capita income.

  8. High Availability based Migration Analysis to Cloud Computing for High Growth Businesses

    Directory of Open Access Journals (Sweden)

    Dilip K. Prasad

    2012-04-01

    Full Text Available High availability requirement of the network is becoming essential for high growth disruptive technology companies. For businesses which require migration to networks supporting scalability and high availability, it is important to analyze the various factors and the cost effectiveness for choosing the optimal solution for them. The current work considers this important problem and presents an analysis of the important factors influencing the decision. The high availability of network is discussed using internal and external risk factors of the network. A production network risk matrix is proposed and a scheme to compute the overall risk is presented. A case study is presented in which four possible network configurations are analyzed and the most suitable solution is recognized. This study provides a paradigm and a useful framework for analyzing cloud computing services.

  9. Analysis of trend changes in Northern African palaeo-climate by using Bayesian inference

    Science.gov (United States)

    Schütz, Nadine; Trauth, Martin H.; Holschneider, Matthias

    2010-05-01

    Climate variability of Northern Africa is of high interest due to climate-evolutionary linkages under study. The reconstruction of the palaeo-climate over long time scales, including the expected linkages (> 3 Ma), is mainly accessible by proxy data from deep sea drilling cores. By concentrating on published data sets, we try to decipher rhythms and trends to detect correlations between different proxy time series by advanced mathematical methods. Our preliminary data is dust concentration, as an indicator for climatic changes such as humidity, from the ODP sites 659, 721 and 967 situated around Northern Africa. Our interest is in challenging the available time series with advanced statistical methods to detect significant trend changes and to compare different model assumptions. For that purpose, we want to avoid the rescaling of the time axis to obtain equidistant time steps for filtering methods. Additionally we demand an plausible description of the errors for the estimated parameters, in terms of confidence intervals. Finally, depending on what model we restrict on, we also want an insight in the parameter structure of the assumed models. To gain this information, we focus on Bayesian inference by formulating the problem as a linear mixed model, so that the expectation and deviation are of linear structure. By using the Bayesian method we can formulate the posteriori density as a function of the model parameters and calculate this probability density in the parameter space. Depending which parameters are of interest, we analytically and numerically marginalize the posteriori with respect to the remaining parameters of less interest. We apply a simple linear mixed model to calculate the posteriori densities of the ODP sites 659 and 721 concerning the last 5 Ma at maximum. From preliminary calculations on these data sets, we can confirm results gained by the method of breakfit regression combined with block bootstrapping ([1]). We obtain a significant change

  10. World Migration Degree Global migration flows in directed networks

    CERN Document Server

    Porat, Idan

    2015-01-01

    In this article we analyze the global flow of migrants from 206 source countries to 145 destination countries (2006-2010) and focus on the differences in the migration network pattern between destination and source counters as represented by its degree and weight distribution. Degree represents the connectivity of a country to the global migration network, and plays an important role in defining migration processes and characteristics. Global analysis of migration degree distribution offers a strong potential contribution to understanding of migration as a global phenomenon. In regard to immigration, we found that it is possible to classify destination countries into three classes: global migration hubs with high connectivity and high migration rate; local migration hubs with low connectivity and high migration rate; and local migration hubs with opposite strategy of high connectivity and low migration rate. The different migration strategies of destination countries are emerging from similar and homogenies p...

  11. Statistical analysis of real ILI (In-Line Inspection) data: implications, inferences and lessons learned

    Energy Technology Data Exchange (ETDEWEB)

    Timashev, Svyatoslav A.; Bushinskaya, Anna V. [Russian Academy of Sciences, Ekaterinburg (Russian Federation). Ural Branch. Sciences and Engineering Center ' Reliability and Safety of Large Systems and Machines'

    2009-07-01

    The paper discusses current possibilities and drawbacks of in-line inspection (ILI) in sizing defects in oil and gas pipelines. A methodology based on analysis of variances (ANOVA) is presented that extracts maximum possible information from the ILI measurements of defects and subsequent verification results. This full statistical analysis (FSA) methodology was extensively tested by using the Monte Carlo simulation method. It was then applied to analyze the content of sections 7, 9 and appendix E of the API 1163 RP Standard. (author)

  12. Evolution of Near-surface Flows Inferred from High-resolution Ring-diagram Analysis

    CERN Document Server

    Bogart, Richard S; Baldner,; Basu, Sarbani

    2015-01-01

    Ring-diagram analysis of acoustic waves observed at the photosphere can provide a relatively robust determination of the sub-surface flows at a particular time under a particular region. The depth of penetration of the waves is related to the size of the region, hence the depth extent of the measured flows is inversely proportional to the spatial resolution. Most ring-diagram analysis has focused on regions of extent ~15{\\deg} (180 Mm) or more in order to provide reasonable mode sets for inversions. HMI data analysis also provides a set of ring fit parameters on a scale three times smaller. These provide flow estimates for the outer 1% (7 Mm) of the Sun only, with very limited depth resolution, but with spatial resolution adequate to map structures potentially associated with the belts and regions of magnetic activity. There are a number of systematic effects affecting the determination of flows from local helioseismic analysis of regions over different parts of the observable disk, not all well understood. I...

  13. Analysis of a South-South International Migration: Chinese Newcomers in Antananarivo and Dakar

    OpenAIRE

    Julien Rajaoson

    2015-01-01

    South-South dynamic migrations offer the opportunity to some impoverished countries to establish a Diaspora outside their territorial bases in the perspective to address the issues raised by this phenomenon of extreme poverty from abroad. First of all, it is noteworthy that the volume of South-South dynamic migrations rises to more than 61 million people, versus 62 million people in the South-North dynamic migrations. In other words, this increased propensity to mobility, which represents alm...

  14. Urbanisation and Migration: An Analysis of Trend, Pattern and Policies in Asia

    OpenAIRE

    Amitabh Kundu

    2009-01-01

    The present paper overviews urbanisation and migration process in Asian countries at macro level since 1950s, including the projections made till 2030. It questions the thesis of southward movement of urbanisation and that of urban explosion in Asia. Increased unaffordability of urban space and basic amenities, negative policy perspective towards migration and various rural development pogrammes designed to discourage migration are responsible for this exclusionary urban growth and a distinct...

  15. Urbanisation and Migration: An Analysis of Trends, Patterns and Policies in Asia

    OpenAIRE

    Kundu, Amitabh

    2009-01-01

    The present paper overviews urbanisation and migration process in Asian countries at macro level since 1950s, including the projections made till 2030. It questions the thesis of southward movement of urbanisation and that of urban explosion in Asia. Increased unaffordability of urban space and basic amenities, negative policy perspective towards migration and various rural development pogrammes designed to discourage migration are responsible for this exclusionary urban growth and a distinct...

  16. Immigration in prime time spanish television. Pathways towards inferring modern racism from content analysis

    OpenAIRE

    Igartua, Juan-José; Barrios, Isabel; Ortega, Felix; Camarero, Emma

    2012-01-01

    This paper presents the analysis of the image of immigration in television fiction based on both Cultivation Theory and previous studies about the representation of ethnic and immigrant minorities in television fiction (Greenberg, Mastro & Brand, 2002). Empirical probe has contrasted that the media exercise a meaningful effect in perceiving one's social world. On the field of television and through Cultivation Theory, George Gerbner and his collaborators have laid the foundations for a line o...

  17. Inferring Preferences in Multiple Criteria Decision Analysis Using a Logistic Regression Model

    OpenAIRE

    Theodor J Stewart

    1984-01-01

    A method is proposed for the analysis of multiple criteria decision making problems in an interactive environment, when decision-maker preferences are inconsistent with a simple utility model and/or are self-inconsistent (e.g., showing intransitivities). A maximum likelihood estimation procedure is invoked which is based on a logistic regression model relating the probability of selecting one decision option over another to a linear function of attribute values. The method is illustrated by a...

  18. Inferring Coupling Structure from Dynamics in Complex Systems Consequences for Graph-Theoretical Analysis

    Czech Academy of Sciences Publication Activity Database

    Hlinka, Jaroslav; Hartman, David; Vejmelka, Martin; Paluš, Milan

    Vienna: Löcker Verlag, 2011 - (Thurner, S.; Szell, M.). s. 156 ISBN 978-3-85409-613-9. [ECCS '11. European Conference on Complex Systems. 12.09.2011-16.09.2011, Vienna] R&D Projects: GA ČR GCP103/11/J068 Institutional research plan: CEZ:AV0Z10300504 Keywords : complex systems * structural connectivity * functional connectivity * graph theoretical analysis * Pearson correlation * small-world * multivariate linear process Subject RIV: BB - Applied Statistics, Operational Research

  19. Simultaneous PIXE and RBS data analysis using Bayesian Inference with the DataFurnace code

    OpenAIRE

    Pascual-Izarra, C.; Reis, M. A.; Barradas, N. P.

    2007-01-01

    The Rutherford Backscattering Spectroscopy (RBS) and Particle Induced X-ray Emission (PIXE) techniques can be used to obtain complementary information about the characteristics of a sample but, traditionally, a gap has separated the available computer codes for analyzing data from each technique, being hard to simultaneously analyze data from the same sample. The recent development of a free and open source library, LibCPIXE, for PIXE simulation and analysis of arbitrary multilayered samples,...

  20. Inferring long memory processes in the climate network via ordinal pattern analysis

    CERN Document Server

    Barreiro, Marcelo; Masoller, Cristina

    2010-01-01

    We use ordinal patterns and symbolic analysis to construct global climate networks and uncover long and short term memory processes. The data analyzed is the monthly averaged surface air temperature (SAT field) and the results suggest that the time variability of the SAT field is determined by patterns of oscillatory behavior that repeat from time to time, with a periodicity related to intraseasonal oscillations and to El Ni\\~{n}o on seasonal-to-interannual time scales.

  1. A theoretical analysis of inferring molecular interactions from single particle trajectories

    Science.gov (United States)

    Kalay, Ziya

    2015-03-01

    Single molecule/particle tracking has become a valuable tool in microscopy that allows for recording trajectories of probes such as individual biological molecules with high temporal and spatial resolution. With the trajectory of a particle, mesoscale transport properties such as diffusion coefficients and first-passage times can be calculated. With the trajectories of two particles that interact, we can investigate the kinetics of reactions by analyzing the statistics of overlap between trajectories. This approach is useful for single molecule biophysics in exploring the kinetics of reversible binding among molecules in biological membranes and on the DNA. Nevertheless, extracting information from noisy trajectories, where the noise stems from a combination of thermal fluctuations and uncertainty introduced by measuring apparatus, is a challenging task. In this work, we consider an exactly solvable model of diffusion and reversible binding in a 1-D structure, such as the DNA, and present a mathematical analysis of how much information about the binding kinetics can be reliably extracted from experimental data. With insight gained from this low-dimensional model, we discuss the analysis of trajectory pairs in two-dimensional systems such as biological membranes. This research was supported by JSPS Grant-in-Aid for Young Scientists (B) (26730150).

  2. Knowledge Representation and Inference for Analysis and Design of Database and Tabular Rule-Based Systems

    Directory of Open Access Journals (Sweden)

    Antoni Ligeza

    2001-01-01

    Full Text Available Rulebased systems constitute a powerful tool for specification of knowledge in design and implementation of knowledge based systems. They provide also a universal programming paradigm for domains such as intelligent control, decision support, situation classification and operational knowledge encoding. In order to assure safe and reliable performance, such system should satisfy certain formal requirements, including completeness and consistency. This paper addresses the issue of analysis and verification of selected properties of a class of such system in a systematic way. A uniform, tabular scheme of single-level rule-based systems is considered. Such systems can be applied as a generalized form of databases for specification of data pattern (unconditional knowledge, or can be used for defining attributive decision tables (conditional knowledge in form of rules. They can also serve as lower-level components of a hierarchical multi-level control and decision support knowledge-based systems. An algebraic knowledge representation paradigm using extended tabular representation, similar to relational database tables is presented and algebraic bases for system analysis, verification and design support are outlined.

  3. How many routes lead to migration? Comparison of methods to assess and characterize migratory movements.

    Science.gov (United States)

    Cagnacci, Francesca; Focardi, Stefano; Ghisla, Anne; van Moorter, Bram; Merrill, Evelyn H; Gurarie, Eliezer; Heurich, Marco; Mysterud, Atle; Linnell, John; Panzacchi, Manuela; May, Roel; Nygård, Torgeir; Rolandsen, Christer; Hebblewhite, Mark

    2016-01-01

    Decreasing rate of migration in several species as a consequence of climate change and anthropic pressure, together with increasing evidence of space-use strategies intermediate between residency and complete migration, are very strong motivations to evaluate migration occurrence and features in animal populations. The main goal of this paper was to perform a relative comparison between methods for identifying and characterizing migration at the individual and population level on the basis of animal location data. We classified 104 yearly individual trajectories from five populations of three deer species as migratory or non-migratory, by means of three methods: seasonal home range overlap, spatio-temporal separation of seasonal clusters and the Net Squared Displacement (NSD) method. For migratory cases, we also measured timing and distance of migration and residence time on the summer range. Finally, we compared the classification in migration cases across methods and populations. All methods consistently identified migration at the population level, that is, they coherently distinguished between complete or almost complete migratory populations and partially migratory populations. However, in the latter case, methods coherently classified only about 50% of the single cases, that is they classified differently at the individual-animal level. We therefore infer that the comparison of methods may help point to 'less-stereotyped' cases in the residency-to-migration continuum. For cases consistently classified by all methods, no significant differences were found in migration distance, or residence time on summer ranges. Timing of migration estimated by NSD was earlier than by the other two methods, both for spring and autumn migrations. We suggest three steps to identify improper inferences from migration data and to enhance understanding of intermediate space-use strategies. We recommend (i) classifying migration behaviours using more than one method, (ii

  4. Migration-Velocity Analysis for Ti and Orthorhombic Background Media Analyse de vitesse par migration dans les cas de milieux environnantsTI et orthorhombiques

    Directory of Open Access Journals (Sweden)

    Ikelle L. T.

    2006-12-01

    Full Text Available A knowledge of the background velocity model is crucial to achieve the accurate reservoir description now expected from imaging and inversion. Conventional methods for reconstructing the background velocity model, like migration-velocity methods, often assume an isotropic subsurface and can yield inaccurate reservoir descriptions when the subsurface contains anisotropic rock formations. Here, we generalize the migration-velocity concept by permitting the background velocity to be transversely isotropic (TI with respect to the vertical axis or othorhombic. The scheme consists of scanning different anisotropic velocity models using a phase-shift migration and of picking anisotropic parameters based on amplitude variations of migrated results (focusing analysis. As the anisotropic background velocity model is generally described by several elastic coefficients, it is important to adopt an efficient scanning procedure. We have chosen to work with common azimuthal sections. For a given common azimuthal section, we sequentially scan two parameters : normal move-out velocity and the anisotropic parameter known as anellipticity. These two scans allow us to reconstruct an azimuthally isotropic velocity model. The procedure is then repeated for different common azimuthal sections; each common azimuthal section leads to a new azimuthally isotropic velocity model if the medium is azimuthally anisotropic. The number of common azimuthal sections, and therefore the number of azimuthally isotropic velocity models, needed to reconstruct an azimuthally anisotropic velocity model is dependent on the type of symmetries. For example, only three common azimuthal sections are needed for an orthorhombic medium. As the contribution of isotropic component of most rock formations is generally more important than the anisotropic one, we have proposed to base the picking of values of anellipticity on the subtraction of the result of isotropic migration from that of TI

  5. Causal inference in econometrics

    CERN Document Server

    Kreinovich, Vladik; Sriboonchitta, Songsak

    2016-01-01

    This book is devoted to the analysis of causal inference which is one of the most difficult tasks in data analysis: when two phenomena are observed to be related, it is often difficult to decide whether one of them causally influences the other one, or whether these two phenomena have a common cause. This analysis is the main focus of this volume. To get a good understanding of the causal inference, it is important to have models of economic phenomena which are as accurate as possible. Because of this need, this volume also contains papers that use non-traditional economic models, such as fuzzy models and models obtained by using neural networks and data mining techniques. It also contains papers that apply different econometric models to analyze real-life economic dependencies.

  6. Rapid climatic change in coastal southern California inferred from pollen analysis of San Joaquin Marsh

    Science.gov (United States)

    Davis, Owen K.

    1992-01-01

    Pollen analysis and five radiocarbon dates of a 687-cm core provide a detailed chronology of environmental change in a marsh at the head of Newport Bay, Orange County, California. Sediment deposition kept pace with sea-level rise during the early history of the marsh. From ca. 7000 to 4500 yr B.P. the site was a freshwater marsh, trees were more abundant than today, and grassland was the regional vegetation. As sea level rose, salt marsh gradually invaded the site. Brief periods of freshwater marsh 3800, 2800, 2300, and after 560 yr B.P. correlate with episodes of global cooling during the Neoglacial. The historic period is marked by the appearance of exotic species (particularly Erodium cf. cicutarium and Eucalyptus) and the spores of fungi ( Sporormiella and Thecaphora). Peak influx of pollen, spores, and charcoal probably reflect greater frequency of flooding and erosion ca. 5000 yr B.P. and during the last 1000 yr.

  7. Relationships among characiform fishes inferred from analysis of nuclear and mitochondrial gene sequences.

    Science.gov (United States)

    Calcagnotto, Daniela; Schaefer, Scott A; DeSalle, Rob

    2005-07-01

    Suprafamilial relationships among characiform fishes and implications for the taxonomy and biogeographic history of the Characiformes were investigated by parsimony analysis of four nuclear and two mitochondrial genes across 124 ingroup and 11 outgroup taxa. Simultaneous analysis of 3660 aligned base pairs from the mitochondrial 16S and cytochrome b genes and the nuclear recombination activating gene (RAG2), seven in absentia (sia), forkhead (fkh), and alpha-tropomyosin (trop) gene loci confirmed the non-monophyly of the African and Neotropical assemblages and corroborated many suprafamilial groups proposed previously on the basis of morphological features. The African distichodontids plus citharinids were strongly supported as a monophyletic Citharinoidei that is the sistergroup to all other characiforms, which form a monophyletic Characoidei composed of two large clades. The first represents an assemblage of both African and Neotropical taxa, wherein a monophyletic African Alestidae is sister to a smaller clade comprised of the Neotropical families Ctenolucidae, Lebiasinidae, and the African Hepsetidae, with that assemblage sister to a strictly Neotropical clade comprised of the Crenuchidae and Erythrinidae. The second clade within the Characoidei is strictly Neotropical and includes all other Characiformes grouped into two well supported major clades. The first, corresponding to a traditional definition of the Characidae, is congruent with some groupings previously supported by morphological evidence. The second clade comprises a monophyletic Anostomoidea that is sister to a clade formed by the families Hemiodontidae, Parodontidae, and Serrasalmidae, with that assemblage, in turn, the sistergroup of the Cynodontidae. Serrasalmidae, traditionally regarded as a subfamily of Characidae, was recovered as the sistergroup of (Anostomoidea (Parodontidae+Hemiodontidae)) and the family Cynodontidae was recovered with strong support as the sistergroup to this assemblage

  8. Labour migration from Turkey to Western Europe, 1960-1974: A multidisciplinary analysis

    NARCIS (Netherlands)

    A. Akgündüz

    2008-01-01

    Groundbreaking in its comprehensiveness, this book illuminates the migration of workers from Turkey to Western Europe with new perspectives previously overlooked in research. Indeed, this is the first study of its kind to cover the entire migration process, making extensive use of primary as well as

  9. Eating or meeting? Cluster analysis reveals intricacies of white shark (Carcharodon carcharias migration and offshore behavior.

    Directory of Open Access Journals (Sweden)

    Salvador J Jorgensen

    Full Text Available Elucidating how mobile ocean predators utilize the pelagic environment is vital to understanding the dynamics of oceanic species and ecosystems. Pop-up archival transmitting (PAT tags have emerged as an important tool to describe animal migrations in oceanic environments where direct observation is not feasible. Available PAT tag data, however, are for the most part limited to geographic position, swimming depth and environmental temperature, making effective behavioral observation challenging. However, novel analysis approaches have the potential to extend the interpretive power of these limited observations. Here we developed an approach based on clustering analysis of PAT daily time-at-depth histogram records to distinguish behavioral modes in white sharks (Carcharodon carcharias. We found four dominant and distinctive behavioral clusters matching previously described behavioral patterns, including two distinctive offshore diving modes. Once validated, we mapped behavior mode occurrence in space and time. Our results demonstrate spatial, temporal and sex-based structure in the diving behavior of white sharks in the northeastern Pacific previously unrecognized including behavioral and migratory patterns resembling those of species with lek mating systems. We discuss our findings, in combination with available life history and environmental data, and propose specific testable hypotheses to distinguish between mating and foraging in northeastern Pacific white sharks that can provide a framework for future work. Our methodology can be applied to similar datasets from other species to further define behaviors during unobservable phases.

  10. Eating or meeting? Cluster analysis reveals intricacies of white shark (Carcharodon carcharias) migration and offshore behavior.

    Science.gov (United States)

    Jorgensen, Salvador J; Arnoldi, Natalie S; Estess, Ethan E; Chapple, Taylor K; Rückert, Martin; Anderson, Scot D; Block, Barbara A

    2012-01-01

    Elucidating how mobile ocean predators utilize the pelagic environment is vital to understanding the dynamics of oceanic species and ecosystems. Pop-up archival transmitting (PAT) tags have emerged as an important tool to describe animal migrations in oceanic environments where direct observation is not feasible. Available PAT tag data, however, are for the most part limited to geographic position, swimming depth and environmental temperature, making effective behavioral observation challenging. However, novel analysis approaches have the potential to extend the interpretive power of these limited observations. Here we developed an approach based on clustering analysis of PAT daily time-at-depth histogram records to distinguish behavioral modes in white sharks (Carcharodon carcharias). We found four dominant and distinctive behavioral clusters matching previously described behavioral patterns, including two distinctive offshore diving modes. Once validated, we mapped behavior mode occurrence in space and time. Our results demonstrate spatial, temporal and sex-based structure in the diving behavior of white sharks in the northeastern Pacific previously unrecognized including behavioral and migratory patterns resembling those of species with lek mating systems. We discuss our findings, in combination with available life history and environmental data, and propose specific testable hypotheses to distinguish between mating and foraging in northeastern Pacific white sharks that can provide a framework for future work. Our methodology can be applied to similar datasets from other species to further define behaviors during unobservable phases. PMID:23144707

  11. Automated sensitivity analysis of the radionuclide migration code UCBNE10.2

    International Nuclear Information System (INIS)

    The Salt Repository Project (SRP) of the US Department of Energy is performing ongoing performance assessment analyses for the eventual licensing of an underground high-level nuclear waste repository in salt. As part of these studies, sensitivity and uncertainty analysis play a major role in the identification of important parameters, and in the identification of specific data needs for site characterization. Oak Ridge National Laboratory has supported the SRP in this effort resulting in the development of an automated procedure for performing large-scale sensitivity analysis using computer calculus. GRESS, Gradient Enhanced Software System, is a pre-compiler that can process FORTRAN computer codes and add derivative taking capabilities to the normal calculated results. The GRESS code is described and applied to the code UCB-NE-10.2 which simulates the migration through an adsorptive medium of the radionuclide members of a decay chain. Conclusions are drawn relative to the applicability of GRESS for more general large-scale modeling sensitivity studies, and the role of such techniques in the overall SRP sensitivity/uncertainty program is detailed. 6 refs., 2 figs., 3 tabs

  12. Culture and Migration: a Tale about Fear and Hope (with an Empirical Analysis on European Union Case

    Directory of Open Access Journals (Sweden)

    Ioan Talpos

    2008-04-01

    Full Text Available The human movements across borders, societies and cultures are not running in an “empty space”: the structural characteristics of the economic systems, the institutional architecture of societies, the cultural paradigm and the power relations between different social groups, all define the magnitude and the limits of such movements. If the “hard” economic migration determinants are extensively explained in an abundant literature, the “soft” psychological/cultural determinants of “leave your old life” decision are less analyzed. This paper advances a model for the interactions between these factors and the economic ones and tries to explain their influences. The main output consists in the thesis that the “soft” variables matters in an extended explanation of migration and that their exclusion pictures a too abstract analysis of intrinsic migration motifs.

  13. Analysis of the journalistic treatment given to the migration phenomenon in www.elPaís.com

    Directory of Open Access Journals (Sweden)

    Fernando Sabés Turmo Ph. D.

    2010-01-01

    Full Text Available This article aims to analyze migration-related content incorporated in the portal www.elPaís.com. The paper studies the formal treatment given, the issues and rights incorporated, the valuation made of migration and the migrant subject, and the main actors, among other aspects. The categories that divide the analysis are drawn from a review of the Barcelona Process-Union for the Mediterranean, the European Neighbourhood Policy, and the Alliance of Civilizations. All with the aim of establishing the way in the subject of migration appears in this online newspaper. To this end, we analyze both informative and editorial texts from the perspective of the social construction of reality theory.

  14. Topographic factor analysis: a Bayesian model for inferring brain networks from neural data.

    Directory of Open Access Journals (Sweden)

    Jeremy R Manning

    Full Text Available The neural patterns recorded during a neuroscientific experiment reflect complex interactions between many brain regions, each comprising millions of neurons. However, the measurements themselves are typically abstracted from that underlying structure. For example, functional magnetic resonance imaging (fMRI datasets comprise a time series of three-dimensional images, where each voxel in an image (roughly reflects the activity of the brain structure(s-located at the corresponding point in space-at the time the image was collected. FMRI data often exhibit strong spatial correlations, whereby nearby voxels behave similarly over time as the underlying brain structure modulates its activity. Here we develop topographic factor analysis (TFA, a technique that exploits spatial correlations in fMRI data to recover the underlying structure that the images reflect. Specifically, TFA casts each brain image as a weighted sum of spatial functions. The parameters of those spatial functions, which may be learned by applying TFA to an fMRI dataset, reveal the locations and sizes of the brain structures activated while the data were collected, as well as the interactions between those structures.

  15. Historical metal pollution in natural gudgeon populations: Inferences from allozyme, microsatellite and condition factor analysis

    International Nuclear Information System (INIS)

    This study presents the results of a microsatellite and allozyme analysis on natural populations of the gudgeon (Gobio gobio) located in a pollution gradient of cadmium and zinc. Differences among contaminated and reference populations were observed at 2 allozyme loci, as well as a relationship between the fish condition factor and glucose-6-phosphate dehydrogenase genotypes, the locus that showed the largest difference in allele frequencies. The microsatellite data partly confirmed the differentiation pattern that was revealed by the allozyme survey. Our data further suggest that at least 2 microsatellite loci may be affected by natural selection. We thus illustrate that both microsatellite and allozyme loci do not necessarily behave as selectively neutral markers in polluted populations. Estimates of population differentiation can therefore be significantly different depending on which loci are being studied. Finally, these results are discussed in the light of the conservation unit concept, because microsatellites are often used to assess genetic variation in endangered natural populations and to propose measures for conservation or management.

  16. Historical metal pollution in natural gudgeon populations: Inferences from allozyme, microsatellite and condition factor analysis

    Energy Technology Data Exchange (ETDEWEB)

    Knapen, Dries, E-mail: dries.knapen@ua.ac.be [University of Antwerp, Department of Biology, Ecophysiology, Biochemistry and Toxicology Research Group, Groenenborgerlaan 171, 2020 Antwerpen (Belgium); De Wolf, Hans [University of Antwerp, Department of Biology, Ecophysiology, Biochemistry and Toxicology Research Group, Groenenborgerlaan 171, 2020 Antwerpen (Belgium); Knaepkens, Guy [University of Antwerp, Department of Biology, Ethology Research Group, Universiteitsplein 1, 2610 Wilrijk (Belgium); Bervoets, Lieven [University of Antwerp, Department of Biology, Ecophysiology, Biochemistry and Toxicology Research Group, Groenenborgerlaan 171, 2020 Antwerpen (Belgium); Eens, Marcel [University of Antwerp, Department of Biology, Ethology Research Group, Universiteitsplein 1, 2610 Wilrijk (Belgium); Blust, Ronny [University of Antwerp, Department of Biology, Ecophysiology, Biochemistry and Toxicology Research Group, Groenenborgerlaan 171, 2020 Antwerpen (Belgium); Verheyen, Erik [Royal Belgian Institute of Natural Sciences, Department of Vertebrates, Molecular Laboratory, Vautierstraat 29, 1000 Brussel (Belgium)

    2009-10-19

    This study presents the results of a microsatellite and allozyme analysis on natural populations of the gudgeon (Gobio gobio) located in a pollution gradient of cadmium and zinc. Differences among contaminated and reference populations were observed at 2 allozyme loci, as well as a relationship between the fish condition factor and glucose-6-phosphate dehydrogenase genotypes, the locus that showed the largest difference in allele frequencies. The microsatellite data partly confirmed the differentiation pattern that was revealed by the allozyme survey. Our data further suggest that at least 2 microsatellite loci may be affected by natural selection. We thus illustrate that both microsatellite and allozyme loci do not necessarily behave as selectively neutral markers in polluted populations. Estimates of population differentiation can therefore be significantly different depending on which loci are being studied. Finally, these results are discussed in the light of the conservation unit concept, because microsatellites are often used to assess genetic variation in endangered natural populations and to propose measures for conservation or management.

  17. Global sensitivity analysis and Bayesian parameter inference for solute transport in porous media colonized by biofilms

    Science.gov (United States)

    Younes, A.; Delay, F.; Fajraoui, N.; Fahs, M.; Mara, T. A.

    2016-08-01

    The concept of dual flowing continuum is a promising approach for modeling solute transport in porous media that includes biofilm phases. The highly dispersed transit time distributions often generated by these media are taken into consideration by simply stipulating that advection-dispersion transport occurs through both the porous and the biofilm phases. Both phases are coupled but assigned with contrasting hydrodynamic properties. However, the dual flowing continuum suffers from intrinsic equifinality in the sense that the outlet solute concentration can be the result of several parameter sets of the two flowing phases. To assess the applicability of the dual flowing continuum, we investigate how the model behaves with respect to its parameters. For the purpose of this study, a Global Sensitivity Analysis (GSA) and a Statistical Calibration (SC) of model parameters are performed for two transport scenarios that differ by the strength of interaction between the flowing phases. The GSA is shown to be a valuable tool to understand how the complex system behaves. The results indicate that the rate of mass transfer between the two phases is a key parameter of the model behavior and influences the identifiability of the other parameters. For weak mass exchanges, the output concentration is mainly controlled by the velocity in the porous medium and by the porosity of both flowing phases. In the case of large mass exchanges, the kinetics of this exchange also controls the output concentration. The SC results show that transport with large mass exchange between the flowing phases is more likely affected by equifinality than transport with weak exchange. The SC also indicates that weakly sensitive parameters, such as the dispersion in each phase, can be accurately identified. Removing them from calibration procedures is not recommended because it might result in biased estimations of the highly sensitive parameters.

  18. Maternal inheritance in polyploid fish inferred from mitochondrial ATPase genes analysis

    Institute of Scientific and Technical Information of China (English)

    Jinpeng Yan; Xinhong Guo; Shaojun Liu; Jun Xiao; Zhen Liu; Yubao Chen; Yun Liu

    2009-01-01

    The sequences of the ATPase8/6 genes for the triploid, tetraploid and pentaploid hybrids as well as for their male parent blunt snout bream were determined. In order to examine mitochondrial maternal inheritance, the sequences were subjected to a comparative sequence analysis with the homologous sequences of red crucian carp, their female parent, and zebrafish as the outgroup. Base compo-sition and variation as well as the divergences based on nucleotide sequences and deduced amino acid sequences were calculated. Phy-logenetic trees were also constructed with maximum parsimony (MP), minimum evolution (ME), neighbor joining (NJ) and the unweighted pair group method with arithmetic mean (UPGMA) algorithms in MEGA 3.1. The results showed that most nucleotide sub-stitutions occurred at the third codon position of the two genes and thus represented synonymous mutations. The nucleotide sequence divergences of the ATPase8/6 genes ranged from 0.0% to 21.6% among ingroup samples (three types of polyploids and their parents), and 27.0-28.2% between their ingroup and the outgroup samples. All the polyploids were considerably closer in sequence relationship to the female parent red crucian carp (0.0-3.3%) compared to their male parent blunt snout bream (21.0-21.6%). The phylogenetic trees also showed a similar result. In conclusion, the mitochondrial ATPase8/6 genes of artificial polyploid fish stringently indicated maternal inheritance. Our results also suggested that the ATPase8/6 genes are valuable genetic markers to track genealogies and variations in the progenies of the hybrids.

  19. Global sensitivity analysis and Bayesian parameter inference for solute transport in porous media colonized by biofilms.

    Science.gov (United States)

    Younes, A; Delay, F; Fajraoui, N; Fahs, M; Mara, T A

    2016-08-01

    The concept of dual flowing continuum is a promising approach for modeling solute transport in porous media that includes biofilm phases. The highly dispersed transit time distributions often generated by these media are taken into consideration by simply stipulating that advection-dispersion transport occurs through both the porous and the biofilm phases. Both phases are coupled but assigned with contrasting hydrodynamic properties. However, the dual flowing continuum suffers from intrinsic equifinality in the sense that the outlet solute concentration can be the result of several parameter sets of the two flowing phases. To assess the applicability of the dual flowing continuum, we investigate how the model behaves with respect to its parameters. For the purpose of this study, a Global Sensitivity Analysis (GSA) and a Statistical Calibration (SC) of model parameters are performed for two transport scenarios that differ by the strength of interaction between the flowing phases. The GSA is shown to be a valuable tool to understand how the complex system behaves. The results indicate that the rate of mass transfer between the two phases is a key parameter of the model behavior and influences the identifiability of the other parameters. For weak mass exchanges, the output concentration is mainly controlled by the velocity in the porous medium and by the porosity of both flowing phases. In the case of large mass exchanges, the kinetics of this exchange also controls the output concentration. The SC results show that transport with large mass exchange between the flowing phases is more likely affected by equifinality than transport with weak exchange. The SC also indicates that weakly sensitive parameters, such as the dispersion in each phase, can be accurately identified. Removing them from calibration procedures is not recommended because it might result in biased estimations of the highly sensitive parameters. PMID:27182791

  20. Genetic characterization and evolutionary inference of TNF-α through computational analysis

    Directory of Open Access Journals (Sweden)

    Gauri Awasthi

    2008-10-01

    Full Text Available TNF-α is an important human cytokine that imparts dualism in malaria pathogenicity. At high dosages, TNF-α is believed to provoke pathogenicity in cerebral malaria; while at lower dosages TNF-α is protective against severe human malaria. In order to understand the human TNF-α gene and to ascertain evolutionary aspects of its dualistic nature for malaria pathogenicity, we characterized this gene in detail in six different mammalian taxa. The avian taxon, Gallus gallus was included in our study, as TNF-α is not present in birds; therefore, a tandemly placed duplicate of TNF-α (LT-α or TNF-β was included. A comparative study was made of nucleotide length variations, intron and exon sizes and number variations, differential compositions of coding to non-coding bases, etc., to look for similarities/dissimilarities in the TNF-α gene across all seven taxa. A phylogenetic analysis revealed the pattern found in other genes, as humans, chimpanzees and rhesus monkeys were placed in a single clade, and rats and mice in another; the chicken was in a clearly separate branch. We further focused on these three taxa and aligned the amino acid sequences; there were small differences between humans and chimpanzees; both were more different from the rhesus monkey. Further, comparison of coding and non-coding nucleotide length variations and coding to non-coding nucleotide ratio between TNF-α and TNF-β among these three mammalian taxa provided a first-hand indication of the role of the TNF-α gene, but not of TNF-β in the dualistic nature of TNF-α in malaria pathogenicity.

  1. Analysis of the population structure of Uruguayan Creole cattle as inferred from milk major gene polymorphisms

    Directory of Open Access Journals (Sweden)

    Gonzalo Rincón

    2006-01-01

    Full Text Available The ancestors of Uruguayan Creole cattle were introduced by the Spanish conquerors in the XVII century, following which the population grew extensively and became semi-feral before the introduction of selected breeds. Today the Uruguayan Creole cattle genetic reserve consists of 575 animals. We used the tetra primer amplification refractory mutation system polymerase chain reaction (ARMS-PCR to analyze the kappa-casein, beta-casein, alphaS1-casein and alpha-lactoalbumin gene polymorphisms and restriction fragment length polymorphism PCR (RFLP-PCR for the beta-lactoglobulin and the acylCoA:diacyl glycerol acyltransferase 1 (DGAT1 genes. The kappa-casein and beta-lactoglobulin genes presented very similar A and B allele frequencies, while the alphas1-casein and alpha-lactoalbumin gene B alleles showed much higher frequencies than the corresponding A alleles. The beta-casein B allele was not found in the population sampled. There was a very high frequency of the DGAT1 gene A allele which is associated with low milk fat content and high milk yield. All loci were in Hardy-Weinberg equilibrium and the level of heterozygosity agreed with the high genetic diversity observed in a previous analysis of this population. Preservation of the allelic richness observed in the Uruguayan Creole cattle should be considered for future dairy management and livestock genetic improvement. The results also emphasize the value of the tetra primers ARMS-PCR technique as a rapid, easy and economical way of genotyping cattle breeds for milk gene single nucleotide polymorphisms.

  2. Multipath propagation of low-frequency radio waves inferred from high-resolution array analysis

    Science.gov (United States)

    Füllekrug, Martin; Smith, Nathan; Mezentsev, Andrew; Watson, Robert; Astin, Ivan; Gaffet, Stéphane; Evans, Adrian; Rycroft, Michael

    2015-11-01

    The low-frequency radio sky shows the locations of electromagnetic radio sources with a characteristic dilution of precision. Here we report a thorough high-resolution analysis of radio waves from low-frequency (˜20-150 kHz) radio communication transmitters which are recorded with a small aperture array of radio receivers during the day. It is found that the observed dilution of precision results from the array geometry of the radio receivers, a birefringent wave propagation, and the correlated multipath propagation of low-frequency radio waves. The influence of the array geometry on the dilution of precision is reduced by taking into account the impulse response of the array. This procedure reveals for the very first time the splitting of one single radio source into two distinct source locations separated by ˜0.2°-1.9° which result from a birefringent wave propagation. The two locations are yet more clearly identified by using the polarity of the modulated wave number vectors of the radio waves. This polarity is also used to quantify the dilution of precision arising from correlated multipath propagation which is discriminated against wave number fluctuations arising from the timing accuracy of the radio receivers. It is found that ˜69% of the wave number variability is of natural origin and ˜31% originates from the timing accuracy of the receivers. The wave number variability from correlated multipath propagation results in a standard deviation ˜2-8% relative to the source location. This compact measurement of correlated multipath propagation is used to characterize the uncertainty of source locations in the radio sky. The identification of correlated multipath propagation strongly suggests the existence of very fast processes acting on time scales <1 ms in the D region ionosphere with physically meaningful effects on low-frequency radio wave propagation. This important result has implications for practical applications in that the observed multipath

  3. Molecular phylogeny of Diabrotica beetles (Coleoptera: Chrysomelidae) inferred from analysis of combined mitochondrial and nuclear DNA sequences.

    Science.gov (United States)

    Clark, T L; Meinke, L J; Foster, J E

    2001-08-01

    The phylogenetic relationships of thirteen Diabrotica (representing virgifera and fucata species groups) and two outgroup Acalymma beetle species (Coleoptera: Chrysomelidae) were inferred from the phylogenetic analysis of a combined data set of 1323 bp of mitochondrial DNA (mtDNA) cytochrome oxidase subunit 1 (COI) and the entire second internal transcribed spacer region (ITS-2) of nuclear ribosomal DNA of 362 characters. Species investigated were D. adelpha, D. balteata, D. barberi, D. cristata, D. lemniscata, D. longicornis, D. porracea, D. speciosa, D. undecimpunctata howardi, D. u. undecimpunctata, D. virgifera virgifera, D. v. zeae, D. viridula, and outgroup A. blandulum and A. vittatum. Maximum parsimony (MP), minimum evolution (ME), and maximum likelihood (ML) analyses of combined COI and ITS-2 sequences clearly place species into their traditional morphological species groups with MP and ME analyses resulting in identical topologies. Results generally confer with a prior work based on allozyme data, but within the virgifera species group, D. barberi and D. longicornis strongly resolve as sister taxa as well as monophyletic with the neotropical species, D. viridula, D. cristata and D. lemniscata also resolve as sister taxa. Both relationships are not in congruence with the prior allozyme-based hypothesis. Within the fucata species group, D. speciosa and D. balteata resolve as sister taxa. Results also strongly supported the D. virgifera and D. undecimpunctata subspecies complexes. Our proposed phylogeny provides some insight into current hypotheses regarding distribution status and evolution of various life history traits for Diabrotica. PMID:11520353

  4. [Time-space analysis of internal migration in Spain (1962-1993): with special attention to the changes in migration pattern in the 1970s].

    Science.gov (United States)

    Takenaka, K

    1996-01-01

    "In this study, the internal migration in Spain from 1962 to 1993 is analyzed from the viewpoint of migration flows, with special emphasis on the spatial scale and direction of migration as well as the migration fields.... The evolution of the spatial scale and direction of migration shows a radical change in the middle 1970s: migrations from 1962 to 1975 (first period) were unidirectional movements at great distance (interprovincial and interregional), whereas those from 1976 to 1993 (second period) are characterized by the weight of intraprovincial movements and the bidirectionality of interprovincial movements. Through the two periods, the major sector in which migrants are employed has shifted from the industry to the service sector." (EXCERPT) PMID:12178549

  5. Stochastic processes inference theory

    CERN Document Server

    Rao, Malempati M

    2014-01-01

    This is the revised and enlarged 2nd edition of the authors’ original text, which was intended to be a modest complement to Grenander's fundamental memoir on stochastic processes and related inference theory. The present volume gives a substantial account of regression analysis, both for stochastic processes and measures, and includes recent material on Ridge regression with some unexpected applications, for example in econometrics. The first three chapters can be used for a quarter or semester graduate course on inference on stochastic processes. The remaining chapters provide more advanced material on stochastic analysis suitable for graduate seminars and discussions, leading to dissertation or research work. In general, the book will be of interest to researchers in probability theory, mathematical statistics and electrical and information theory.

  6. Dynamical analysis of seasonal migrating population; the effect of regular hunting to the coexistence

    Science.gov (United States)

    Sambas, T. J. M.; Khaliq, B. F.; Waluyo, D. S. Y. S.; Putra, P. S.; Soewono, E.

    2016-04-01

    Seasonal migration among wild populations is commonly seen especially in the wild life region. The migration takes place during a certain season where logistical condition and the existing territory can no longer support the life of the whole population. In this case portion of the population migrate to the better place as part of their survival, and returning back to the home place when the logistical condition is improved. Here we model the dynamic of North-South annual migration of Impala population in Zimbabwe, where portion of population in the Southern part move to the North in the beginning of the dry season and portion of them return back to the South in the wet season. Here the North area has a better environmental carrying capacity than the South. Different processes take place during the year, partial migration to the south (during the month of December and January), partial migration to the north (during the month of June and July), and birth process (during the month of November and December). We construct a discrete dynamical model for simulating the annual migrating process. It is found that a stable co-existence always occurs when no hunting takes place in all season. When hunting is allowed, the co-existence could be severely affected. We obtain here a threshold condition for co-existence and show numerical simulations for different hunting scenarios.

  7. Analysis of the effect of hydraulic parameters on radionuclide migration in an unsaturated zone

    International Nuclear Information System (INIS)

    A One-Dimensional Water Flow and Contaminant Transport in Unsaturated Zone (FTUNS) code has been developed in order to interpret radionuclide migration in an unsaturated zone. The pore-size distribution index (n) and the inverse of the air-entry value (α) for an unsaturated zone were measured by KS M ISO 11275 method. The hydraulic parameters of the unsaturated soil are investigated by using soil from around a nuclear facility in Korea. The effect of hydraulic parameters on radionuclide migration in an unsaturated zone has been analyzed. The higher the value of the n-factor, the more the cobalt concentration was condensed. The larger the value of α-factor, the faster the migration of cobalt was and the more aggregative the cobalt concentration was. Also, it was found that an effect on contaminant migration due to the pore-size distribution index (n) and the inverse of the air-entry value (α) was minute. Meanwhile, migrations of cobalt and cesium a rein inverse proportion to the Freundich isotherm coefficient. That is to say, the migration velocity of cobalt was about 8.35times that of cesium. It was conclusively demonstrated that the Freundich isotherm coefficient was the most important factor for contaminant migration

  8. Return Migration, Wage Differentials, and the Optimal Migration Duration

    OpenAIRE

    Dustmann, Christian

    2001-01-01

    In simple static models, migration increases with the wage differential between host and home country. In a dynamic framework, and if migrations are temporary, the size of the migrant population in the host country depends also on the migration duration. This paper analyses optimal migration durations in a model which rationalises the decision of the migrant to return to his home country, despite persistently higher wages in the host country. The analysis shows that, if migrations are tempora...

  9. Automatic Differentiation Variational Inference

    OpenAIRE

    Kucukelbir, Alp; Tran, Dustin; Ranganath, Rajesh; Gelman, Andrew; Blei, David M.

    2016-01-01

    Probabilistic modeling is iterative. A scientist posits a simple model, fits it to her data, refines it according to her analysis, and repeats. However, fitting complex models to large data is a bottleneck in this process. Deriving algorithms for new models can be both mathematically and computationally challenging, which makes it difficult to efficiently cycle through the steps. To this end, we develop automatic differentiation variational inference (ADVI). Using our method, the scientist on...

  10. Migration Impact on Moroccan Unemployment : a Static Computable General Equilibrium Analysis

    OpenAIRE

    Decaluwé, Bernard; Karam, Fida

    2008-01-01

    URL des Documents de travail : http://ces.univ-paris1.fr/cesdp/CESFramDP2008.htm Documents de travail du Centre d'Economie de la Sorbonne 2008.52 - ISSN : 1955-611X Recently, much research interest is directed towards the impact of migration on the sending country. However, we think that this literature does not successfully analyse the effects of migration on unemployment and wage rates especially in urban areas. It studies the effect of one king of migration flow, mainly international...

  11. Migration from printing inks in multilayer food packaging materials by GC-MS analysis and pattern recognition with chemometrics.

    Science.gov (United States)

    Clemente, Isabel; Aznar, Margarita; Nerín, Cristina; Bosetti, Osvaldo

    2016-01-01

    Inks and varnishes used in food packaging multilayer materials can contain different substances that are potential migrants when packaging is in contact with food. Although printing inks are applied on the external layer, they can migrate due to set-off phenomena. In order to assess food safety, migration tests were performed from two materials sets: set A based on paper and set B based on PET; both contained inks. Migration was performed to four food simulants (EtOH 50%, isooctane, EtOH 95% and Tenax(®)) and the volatile compounds profile was analysed by GC-MS. The effect of presence/absence of inks and varnishes and also their position in the material was studied. A total of 149 volatile compounds were found in migration from set A and 156 from set B materials, some of them came from inks. Quantitative analysis and a principal component analysis were performed in order to identify patterns among sample groups. PMID:26898370

  12. Numerical analysis of methane migration from floor strata to a longwall face

    Institute of Scientific and Technical Information of China (English)

    MAREK Kwa(s)niewski; LASEK Stanistaw

    2009-01-01

    A two-dimensional numerical model of a large (1000 m×200 m) section of mine strata in the vicinity of seam 349 in Iongwall panel 802 in part B of the Murcki Colliery in the Upper Silesian Coal Basin, Poland, was built using the Universal Distinct Element Code UDEC. Longwall extraction of seam 349 with roof caving was simulated in the model over a length of 450 m. Mining-induced changes in displacements, strains and stresses in the mine strata were investigated. Under the assumptions that (1) methane-bearing strata occur 15.6 m beneath seam 349 and include seam 350 and the strata lying beneath, and (2) the methane reservoir pressure is equal to 2 MPa, a fully coupled mechanical hydraulic analysis was performed in which joint conductivity was dependent on the mechanical de-formation and, conversely, the mechanical behavior of rock masses was affected by joint fluid pressure. It was shown that migration of methane from coal seams lying beneath the mined seam is possible under conditions where the floor strata deform to a great extent, undergo separation, fracture and break into blocks.

  13. MARFA user's manual: Migration analysis of radionuclides in the far field

    International Nuclear Information System (INIS)

    The computer code Migration Analysis of Radionuclides in the Far Field (MARFA) uses a particle-based Monte Carlo method to simulate the transport of radionuclides in a sparsely fractured geological medium. The algorithm uses non-interacting particles to represent packets of radionuclide mass. These particles are moved through the system according to rules that mimic the underlying physical transport and retention processes. The physical processes represented in MARFA include advection, longitudinal dispersion, Fickian diffusion into an infinite or finite rock matrix, equilibrium sorption, decay, and in-growth. Because the algorithm uses non-interacting particles, the transport and retention processes are limited to those that depend linearly on radionuclide concentration. Multiple non-branching decay chains of arbitrary length are supported, as is full heterogeneity in the transport and retention properties. Two variants of the code are provided. These two versions differ in how particles are routed through the computational domain. In MARFA 3.2.3, transport is assumed to occur along a set of trajectories or pathways that originate at radionuclide source locations. The trajectories are intended to represent the movement of hypothetical, advectively transported groundwater tracers and are typically calculated by pathline tracing in a discrete fracture network flow code. The groundwater speed and retention properties along each pathway may change in time, but the pathway trajectories are fixed. MARFA 3.3.1 allows the transport effects of changing flow directions to be represented by abandoning the fixed pathways and performing node routing within MARFA. (orig.)

  14. MARFA user's manual: Migration analysis of radionuclides in the far field

    Energy Technology Data Exchange (ETDEWEB)

    Painter, S. [Los Alamos National Lab., NM (United States); Mancillas, J. [Southwest Research Inst., San Antonio TX (United States)

    2013-12-15

    The computer code Migration Analysis of Radionuclides in the Far Field (MARFA) uses a particle-based Monte Carlo method to simulate the transport of radionuclides in a sparsely fractured geological medium. The algorithm uses non-interacting particles to represent packets of radionuclide mass. These particles are moved through the system according to rules that mimic the underlying physical transport and retention processes. The physical processes represented in MARFA include advection, longitudinal dispersion, Fickian diffusion into an infinite or finite rock matrix, equilibrium sorption, decay, and in-growth. Because the algorithm uses non-interacting particles, the transport and retention processes are limited to those that depend linearly on radionuclide concentration. Multiple non-branching decay chains of arbitrary length are supported, as is full heterogeneity in the transport and retention properties. Two variants of the code are provided. These two versions differ in how particles are routed through the computational domain. In MARFA 3.2.3, transport is assumed to occur along a set of trajectories or pathways that originate at radionuclide source locations. The trajectories are intended to represent the movement of hypothetical, advectively transported groundwater tracers and are typically calculated by pathline tracing in a discrete fracture network flow code. The groundwater speed and retention properties along each pathway may change in time, but the pathway trajectories are fixed. MARFA 3.3.1 allows the transport effects of changing flow directions to be represented by abandoning the fixed pathways and performing node routing within MARFA. (orig.)

  15. MARFA version 3.2.2 user's manual: migration analysis of radionuclides in the far field

    International Nuclear Information System (INIS)

    The computer code Migration Analysis of Radionuclides in the Far Field (MARFA) uses a particle-based Monte Carlo method to simulate the transport of radionuclides in a sparsely fractured geological medium. Transport in sparsely fractured rock is of interest because this medium may serve as a barrier to migration of radionuclides to the accessible environment. The physical processes represented in MARFA include advection, longitudinal dispersion, Fickian diffusion into an infinite or finite rock matrix, equilibrium sorption, decay, and in-growth. Multiple non-branching decay chains of arbitrary length are supported. This document describes the technical basis and input requirements for MARFA Version 3.2.2. MARFA Version 3.2 included new capabilities to accommodate transient flow velocities and sorption parameters, which are assumed to be piecewise constant in time. Version 3.2.1 was a minor change from Version 3.2 to allow a more convenient input format for sorption information. New capabilities in Version 3.2.2 include an option to specify a non-zero start time for the simulation, an optional input parameter that decreases the amount of retention within a single fracture because of flow channeling, and an alternative method for sampling the radionuclide source. MARFA uses the particle on random streamline segment algorithm /Painter et al. 2006/, a Monte Carlo algorithm combining time-domain random walk methods with pathway stochastic simulation. The algorithm uses non-interacting particles to represent packets of radionuclide mass. These particles are moved through the system according to rules that mimic the underlying physical transport and retention processes. The set of times required for particles to pass through the geological barrier are then used to reconstruct discharge rates (mass or activity basis). Because the algorithm uses non-interacting particles, the transport and retention processes are limited to those that depend linearly on radionuclide

  16. Inference, simulation, modeling, and analysis of complex networks, with special emphasis on complex networks in systems biology

    Science.gov (United States)

    Christensen, Claire Petra

    's own publications have contributed network inference, simulation, modeling, and analysis methods to the much larger body of work in systems biology, and indeed, in network science. The aim of this thesis is therefore twofold: to present this original work in the historical context of network science, but also to provide sufficient review and reference regarding complex systems (with an emphasis on complex networks in systems biology) and tools and techniques for their inference, simulation, analysis, and modeling, such that the reader will be comfortable in seeking out further information on the subject. The review-like Chapters 1, 2, and 4 are intended to convey the co-evolution of network science and the slow but noticeable breakdown of boundaries between disciplines in academia as research and comparison of diverse systems has brought to light the shared properties of these systems. It is the author's hope that theses chapters impart some sense of the remarkable and rapid progress in complex systems research that has led to this unprecedented academic synergy. Chapters 3 and 5 detail the author's original work in the context of complex systems research. Chapter 3 presents the methods and results of a two-stage modeling process that generates candidate gene-regulatory networks of the bacterium B.subtilis from experimentally obtained, yet mathematically underdetermined microchip array data. These networks are then analyzed from a graph theoretical perspective, and their biological viability is critiqued by comparing the networks' graph theoretical properties to those of other biological systems. The results of topological perturbation analyses revealing commonalities in behavior at multiple levels of complexity are also presented, and are shown to be an invaluable means by which to ascertain the level of complexity to which the network inference process is robust to noise. Chapter 5 outlines a learning algorithm for the development of a realistic, evolving social

  17. Gender and climate change-induced migration: proposing a framework for analysis

    International Nuclear Information System (INIS)

    This paper proposes frameworks to analyze the gender dimensions of climate change-induced migration. The experiences, needs and priorities of climate migrants will vary by gender and these differences need to be accounted for if policies are to be inclusive. Among the vulnerable groups, women are likely to be disproportionately affected due to climate change because on average women tend to be poorer, less educated, have a lower health status and have limited direct access to or ownership of natural resources. Both the process (actual movement) and the outcomes (rural–rural or rural–urban migration, out-migration mainly of men) of climate change-induced migration are also likely to be highly gendered. (letter)

  18. TOWARD MIGRATION TRANSITION IN ROMANIA

    OpenAIRE

    Cristian Incaltarau

    2012-01-01

    Most studies regarding the contribution of migration to development are limited to an isolated analysis of the economic effects of migration. But the migration process is in turn influenced by other processes. So a wider framework including migration and other processes of development would be more appropriate. The experience of South European and East Asian countries have shown us that, during development, countries can change their migration profile from emigration to immigration. The prese...

  19. Border Cell Migration: A Model System for Live Imaging and Genetic Analysis of Collective Cell Movement

    OpenAIRE

    M Prasad; Wang, X; He, L.; Cai, D.; Montell, DJ

    2015-01-01

    © 2015, Springer Science+Business Media New York. Border cell migration in the Drosophila ovary has emerged as a genetically tractable model for studying collective cell movement. Over many years border cell migration was exclusively studied in fixed samples due to the inability to culture stage 9 egg chambers in vitro. Although culturing late-stage egg chambers was long feasible, stage 9 egg chambers survived only briefl y outside the female body. We identifi ed culture conditions that suppo...

  20. A general equilibrium analysis of East-West migration. The case of Austria-Hungary.

    OpenAIRE

    Breuss, Fritz; Tesche, Jean

    1996-01-01

    We use a three-country, 14-sector computable general equilibrium (CGE) model to examine the effect of immigration on the labor market, production sectors and the macroeconomy of Austria and Hungary. We analyze the phenomenon of immigration in an empirical model in order to get an idea of the quantitative dimension of the economic problems involved, rather than introduce new integration theory. Our study aims more at the impact of migration than at forecasting future migration flows. (excerpt)

  1. Drought prediction using co-active neuro-fuzzy inference system, validation, and uncertainty analysis (case study: Birjand, Iran)

    Science.gov (United States)

    Memarian, Hadi; Pourreza Bilondi, Mohsen; Rezaei, Majid

    2016-08-01

    This work aims to assess the capability of co-active neuro-fuzzy inference system (CANFIS) for drought forecasting of Birjand, Iran through the combination of global climatic signals with rainfall and lagged values of Standardized Precipitation Index (SPI) index. Using stepwise regression and correlation analyses, the signals NINO 1 + 2, NINO 3, Multivariate Enso Index, Tropical Southern Atlantic index, Atlantic Multi-decadal Oscillation index, and NINO 3.4 were recognized as the effective signals on the drought event in Birjand. Based on the results from stepwise regression analysis and regarding the processor limitations, eight models were extracted for further processing by CANFIS. The metrics P-factor and D-factor were utilized for uncertainty analysis, based on the sequential uncertainty fitting algorithm. Sensitivity analysis showed that for all models, NINO indices and rainfall variable had the largest impact on network performance. In model 4 (as the model with the lowest error during training and testing processes), NINO 1 + 2(t-5) with an average sensitivity of 0.7 showed the highest impact on network performance. Next, the variables rainfall, NINO 1 + 2(t), and NINO 3(t-6) with the average sensitivity of 0.59, 0.28, and 0.28, respectively, could have the highest effect on network performance. The findings based on network performance metrics indicated that the global indices with a time lag represented a better correlation with El Niño Southern Oscillation (ENSO). Uncertainty analysis of the model 4 demonstrated that 68 % of the observed data were bracketed by the 95PPU and D-Factor value (0.79) was also within a reasonable range. Therefore, the fourth model with a combination of the input variables NINO 1 + 2 (with 5 months of lag and without any lag), monthly rainfall, and NINO 3 (with 6 months of lag) and correlation coefficient of 0.903 (between observed and simulated SPI) was selected as the most accurate model for drought forecasting using CANFIS

  2. Drought prediction using co-active neuro-fuzzy inference system, validation, and uncertainty analysis (case study: Birjand, Iran)

    Science.gov (United States)

    Memarian, Hadi; Pourreza Bilondi, Mohsen; Rezaei, Majid

    2015-06-01

    This work aims to assess the capability of co-active neuro-fuzzy inference system (CANFIS) for drought forecasting of Birjand, Iran through the combination of global climatic signals with rainfall and lagged values of Standardized Precipitation Index (SPI) index. Using stepwise regression and correlation analyses, the signals NINO 1 + 2, NINO 3, Multivariate Enso Index, Tropical Southern Atlantic index, Atlantic Multi-decadal Oscillation index, and NINO 3.4 were recognized as the effective signals on the drought event in Birjand. Based on the results from stepwise regression analysis and regarding the processor limitations, eight models were extracted for further processing by CANFIS. The metrics P-factor and D-factor were utilized for uncertainty analysis, based on the sequential uncertainty fitting algorithm. Sensitivity analysis showed that for all models, NINO indices and rainfall variable had the largest impact on network performance. In model 4 (as the model with the lowest error during training and testing processes), NINO 1 + 2(t-5) with an average sensitivity of 0.7 showed the highest impact on network performance. Next, the variables rainfall, NINO 1 + 2(t), and NINO 3(t-6) with the average sensitivity of 0.59, 0.28, and 0.28, respectively, could have the highest effect on network performance. The findings based on network performance metrics indicated that the global indices with a time lag represented a better correlation with El Niño Southern Oscillation (ENSO). Uncertainty analysis of the model 4 demonstrated that 68 % of the observed data were bracketed by the 95PPU and D-Factor value (0.79) was also within a reasonable range. Therefore, the fourth model with a combination of the input variables NINO 1 + 2 (with 5 months of lag and without any lag), monthly rainfall, and NINO 3 (with 6 months of lag) and correlation coefficient of 0.903 (between observed and simulated SPI) was selected as the most accurate model for drought forecasting using CANFIS

  3. EXTERNAL MIGRATION AS HAVING ROMANIA AS A COUNTRY ORIGIN – A FEW STRUCTURAL ANALYSIS ELEMENTS AND IMPACT ON LABOUR

    Directory of Open Access Journals (Sweden)

    Eduard Andrei CIOCĂNESCU

    2011-09-01

    Full Text Available The main purpose of the following article is to present, based on the Eurostat and INS research, the structure of the Romanian immigrants according to age and sex. The second objective of this article is to show the impact that the external migration phenomenon has on labour market at national level.The approaches are quantitative and specific elements of the descriptive statistics and more advanced procedures of the analysis of the bounds between variables are being used.

  4. Income and Distribution Effects of Migration and Remittances: an Analysis Based on CGE Models for Selected CIS Countries

    OpenAIRE

    Atamanov, Aziz; Luecke, Matthias; Omar Mahmoud, Toman; Mogilevsky, Roman; Tereshchenko, Kseniya; Tourdyeva, Natalia A.; Uzagalieva, Ainura; Vavryschuk , Vitaly

    2009-01-01

    This paper analyzes the direct and indirect income effects of international labor migration and remittances in selected CIS countries. The analysis is based on computable general equilibrium (CGE) models for Moldova, Ukraine, Georgia, Kyrgyzstan, and Russia. All net emigration countries would experience a sharp contraction of private consumption in the absence of remittances. In Russia, the main effect of immigration has been to hold down the real wage (as potential capital stock adjustments ...

  5. Using Stable Isotope Analysis to Understand the Migration and Trophic Ecology of Northeastern Pacific White Sharks (Carcharodon carcharias)

    OpenAIRE

    Carlisle, Aaron B.; Sora L Kim; Semmens, Brice X.; Madigan, Daniel J; Jorgensen, Salvador J.; Christopher R Perle; Scot D. Anderson; Chapple, Taylor K.; Kanive, Paul E.; Barbara A. Block

    2012-01-01

    The white shark (Carcharodon carcharias) is a wide-ranging apex predator in the northeastern Pacific (NEP). Electronic tagging has demonstrated that white sharks exhibit a regular migratory pattern, occurring at coastal sites during the late summer, autumn and early winter and moving offshore to oceanic habitats during the remainder of the year, although the purpose of these migrations remains unclear. The purpose of this study was to use stable isotope analysis (SIA) to provide insight into ...

  6. Global analysis of saliva as a source of bacterial genes for insights into human population structure and migration studies

    OpenAIRE

    Henne, K.; Li, J.; Stoneking, M; Kessler, O; Schilling, H.; Sonanini, A.; Conrads, G.; Horz, H.

    2014-01-01

    Background The genetic diversity of the human microbiome holds great potential for shedding light on the history of our ancestors. Helicobacter pylori is the most prominent example as its analysis allowed a fine-scale resolution of past migration patterns including some that could not be distinguished using human genetic markers. However studies of H. pylori require stomach biopsies, which severely limits the number of samples that can be analysed. By focussing on the house-keeping gene gdh (...

  7. EXTERNAL MIGRATION AS HAVING ROMANIA AS A COUNTRY ORIGIN – A FEW STRUCTURAL ANALYSIS ELEMENTS AND IMPACT ON LABOUR

    OpenAIRE

    Eduard Andrei CIOCĂNESCU

    2011-01-01

    The main purpose of the following article is to present, based on the Eurostat and INS research, the structure of the Romanian immigrants according to age and sex. The second objective of this article is to show the impact that the external migration phenomenon has on labour market at national level.The approaches are quantitative and specific elements of the descriptive statistics and more advanced procedures of the analysis of the bounds between variables are being used.

  8. Database development of glass dissolution and radionuclide migration for performance analysis of HLW repository in Japan

    International Nuclear Information System (INIS)

    Japan Nuclear Cycle Development Institute (JNC, the successor of Power Reactor and Nuclear Fuel Development Corporation (PNC)) has published the second progress report for high-level radioactive waste (HLW) disposal in Japan (H12 report) in November, 1999. This report is important to obtain the confidence of HLW disposal system and to establish the implementation body in 2000. JNC has developed databases of glass dissolution and radionuclide migration for performance analysis of the engineered barrier system (EBS) and the geosphere for H12 report. The databases developed for H12 report are of dissolution rates of high-level radioactive vitrified waste, thermochemical data of radioactive elements (JNC-TDB), sorption/diffusion data in the EBS and the geosphere. The database development has been focused on the repository conditions; reducing conditions and compacted/intact system, e.g., actinide (IV)/(III), derivation of sorption coefficients from diffusion experiments rather than batch sorption experiments. The JNC-TDB and sorption database have been developed under the auspices of international experts. The quality of these databases has been checked through independent individual experiments; glass leaching, solubility, batch sorption, diffusion experiments and through coupled leaching experiments by using the fully high-level radioactive glass and plutonium-doped glass which were sandwiched between compacted bentonite saturated with water. The maximum concentration of insoluble elements dissolved from the glass has also been investigated to check the quality of the JNC-TDB by comparison with solubility prediction. Based on these studies, JNC has determined the transport parameters for H12 report; dissolution rate of glass for a soluble radioactive element (Cs), solubility for insoluble radioactive elements (e.g., actinides, Tc), distribution coefficients and effective diffusion coefficients in the EBS and the geosphere

  9. Global migration topology analysis and modeling of bilateral flow network 2006–2010

    Science.gov (United States)

    Porat, I.; Benguigui, L.

    2016-07-01

    Migration is one of the most dramatic and vast human processes in modern times. Migration is defined as people that leave their home and home-land and move to a new country. In this research we address the pattern of this massive human movement with the tools of network theory. The undirected global flow migration network (2006–2010) was identified as an exclusive disassortative network which combines two types of defined groups of large- and small-degree (D) countries with betweeness (Be) of Be∼D 3. This structure was modeled and simulated with synthetic networks of similar characteristics as the global flow migration network, and the results suggest that small-degree nodes have the topology of random networks, but the dominant part of the large-degree hubs controls this topology and shapes the network into an ultra-small world. This exclusive topology and the difference of the global flow migration network from scale-free and from Erdös-Rényi networks may be a result of two defined and different topologies of large- and small-degree countries.

  10. A Brief Discussion and Evaluation of the Approaches to the Teaching of Grammar Inferred from Contrastive Analysis, Krashen's Monitor Theory and Universal Grammar

    Institute of Scientific and Technical Information of China (English)

    刘艳

    2008-01-01

    As Richards and Rodgers (1996) pointed out each method and approach had its own underlying theories of language and language learning.Different theories of language and language learning will influence what method or approach will be focused.Based on the description and evaluation of each approach inferred from Contrastive Analy-sis (CA),Krashen's Monitor theory,and Universal Grammar (UG),an integrated approach will be proposed.

  11. Analysis of saturated and aromatic hydrocarbons migrating from a polyolefin-based hot-melt adhesive into food.

    Science.gov (United States)

    Lommatzsch, Martin; Biedermann, Maurus; Grob, Koni; Simat, Thomas J

    2016-03-01

    Hot-melt adhesives are widely utilised to glue cardboard boxes used as food packaging material. They have to comply with the requirements of Article 3 of the European Framework Regulation for food contact materials (1935/2004). The hot melt raw materials analysed mainly consisted of paraffinic waxes, hydrocarbon resins and polyolefins. The hydrocarbon resins, functioning as tackifiers, were the predominant source of hydrocarbons of sufficient volatility to migrate into dry foods: the 18 hydrocarbon resins analysed contained 8.2-118 g kg(-1) saturated and up to 59 g kg(-1) aromatic hydrocarbons eluted from GC between n-C16 and n-C24, substantially more than the paraffinic waxes and the polyolefins. These tackfier resins, especially the oligomers ≤ C24, have been characterised structurally by GC×GC-MS and (1)H-NMR spectroscopy. Migration into food was estimated using a simulating system with polenta as food simulant, which was verified by the analysis of a commercial risotto rice sample packed in a virgin fibre folding box sealed with a hot melt. About 0.5-1.5% of the potentially migrating substances (between n-C16 and n-C24) of a hot melt were found to be transferred into food under storage conditions, which can result in a food contamination in the order of 1 mg kg(-1) food (depending on the amount of potentially migrating substances from the hot melt, the hot melt surface, amount of food, contact time etc.). Migrates from hot melts are easily mistaken for mineral oil hydrocarbons from recycled cardboard. PMID:26744923

  12. International Migration and Real Wages

    OpenAIRE

    Reza Oladi; Hamid Beladi

    2007-01-01

    We provide an analysis of the impact of migration on the skilled- unskilled wage gap. In particular, we show the possibility of a rise in the wage gap following the migration of skilled (unskilled ) labor.

  13. PERFORMANCE ANALYSIS OF TRANSPORT PROTOCOL DURING LIVE MIGRATION OF VIRTUAL MACHINES

    Directory of Open Access Journals (Sweden)

    Prakash H R

    2011-10-01

    Full Text Available The Physical servers used in IT are under-utilized. The better utilization of these servers can be achieved using virtualization technology. Virtualization techniques create multiple partitions whichare isolated with each other called virtual machines. Each virtual machine (guest runs their own operating system. The resource allocated for these VMs may fail to execute an application because ofresource conflict or un availability of resources. This motivates towards live migration of virtual machines. The live migration copies the running VM from source host to destination host seamlesslyusing TCP as transport protocol.This paper evaluates performance of TCP in live migration of KVM based virtual machines. The flexibility in UDP which drives the concentration can also be used for thismigration.

  14. Kinship Paths To and From the New Europe: A Unified Analysis of Peruvian Adoption and Migration.

    Science.gov (United States)

    Leinaweaver, Jessaca B

    2011-11-01

    This article compares migrants and adoptees of Peruvian origin residing in Europe by focusing on their respective movements out of and return to the sending country of Peru. First, it analyzes family-based reunifications by drawing on a framework from studies of adoption and kinship. Juxtaposing the experiences of adoptees with those of migrants reveals how migration, too, may be steeped in concerns about kin ties. Next, it analyzes returns of adult adoptees using a template modeled on migrant returns, focusing on the centrality of the notion of contribution. The article shows how migrants and adoptees contest the constraints of European nation-state definitions of kinship intended to limit migration. It is based on recent research with Peruvian migrants and adoptees in Spain, as well as longer-term research in Peru on migration and adoption. PMID:24443664

  15. Comparative analysis of dynamic cell viability, migration and invasion assessments by novel real-time technology and classic endpoint assays.

    Directory of Open Access Journals (Sweden)

    Ridha Limame

    Full Text Available BACKGROUND: Cell viability and motility comprise ubiquitous mechanisms involved in a variety of (pathobiological processes including cancer. We report a technical comparative analysis of the novel impedance-based xCELLigence Real-Time Cell Analysis detection platform, with conventional label-based endpoint methods, hereby indicating performance characteristics and correlating dynamic observations of cell proliferation, cytotoxicity, migration and invasion on cancer cells in highly standardized experimental conditions. METHODOLOGY/PRINCIPAL FINDINGS: Dynamic high-resolution assessments of proliferation, cytotoxicity and migration were performed using xCELLigence technology on the MDA-MB-231 (breast cancer and A549 (lung cancer cell lines. Proliferation kinetics were compared with the Sulforhodamine B (SRB assay in a series of four cell concentrations, yielding fair to good correlations (Spearman's Rho 0.688 to 0.964. Cytotoxic action by paclitaxel (0-100 nM correlated well with SRB (Rho>0.95 with similar IC(50 values. Reference cell migration experiments were performed using Transwell plates and correlated by pixel area calculation of crystal violet-stained membranes (Rho 0.90 and optical density (OD measurement of extracted dye (Rho>0.95. Invasion was observed on MDA-MB-231 cells alone using Matrigel-coated Transwells as standard reference method and correlated by OD reading for two Matrigel densities (Rho>0.95. Variance component analysis revealed increased variances associated with impedance-based detection of migration and invasion, potentially caused by the sensitive nature of this method. CONCLUSIONS/SIGNIFICANCE: The xCELLigence RTCA technology provides an accurate platform for non-invasive detection of cell viability and motility. The strong correlations with conventional methods imply a similar observation of cell behavior and interchangeability with other systems, illustrated by the highly correlating kinetic invasion profiles on

  16. Geostatistical analysis of prevailing groundwater conditions and potential solute migration at Elstow, Bedfordshire

    International Nuclear Information System (INIS)

    A geostatistical approach is applied in a study of the potential migration of contaminants from a hypothetical waste disposal facility near Elstow, Bedfordshire. A deterministic numerical model of groundwater flow in the Kellaways Sands formation and adjacent layers is coupled with geostatistical simulation of the heterogeneous transmissivity field of this principal formation. A particle tracking technique is used to predict the migration pathways for alternative realisations of flow. Alternative statistical descriptions of the spatial structure of the transmissivity field are implemented and the temporal and spatial distributions of escape of contaminants to the biosphere are investigated. (author)

  17. Meta-Analysis of mitochondrial DNA reveals several population bottlenecks during worldwide migrations of cattle

    NARCIS (Netherlands)

    Lenstra, Johannes A.; Ajmone-Marsan, Paolo; Beja-Pereira, Albano; Bollongino, Ruth; Bradley, Daniel G.; Colli, Licia; De Gaetano, Anna; Edwards, Ceiridwen J.; Felius, Marleen; Ferretti, Luca; Ginja, Catarina; Hristov, Peter; Kantanen, Juha; Lirón, Juan Pedro; Magee, David A.; Negrini, Riccardo; Radoslavov, Georgi A.

    2014-01-01

    Several studies have investigated the differentiation of mitochondrial DNA in Eurasian, African and American cattle as well as archaeological bovine material. A global survey of these studies shows that haplogroup distributions are more stable in time than in space. All major migrations of cattle ha

  18. Black Return Migration to a Southern State: An Analysis of Motives and Parental Support.

    Science.gov (United States)

    Uzzell, Odell

    1984-01-01

    Research into return migration of Blacks to four urban communities in North Carolina suggests that differences in motivation existed between older, female and younger, male return migrants. The former returned for personal social reasons mainly, the latter for economic reasons. (RDN)

  19. Association analysis of schizophrenia on 18 genes involved in neuronal migration

    DEFF Research Database (Denmark)

    Kähler, Anna K; Djurovic, Srdjan; Kulle, Bettina;

    2008-01-01

    Several lines of evidence support the theory of schizophrenia (SZ) being a neurodevelopmental disorder. The structural, cytoarchitectural and functional brain abnormalities reported in patients with SZ, might be due to aberrant neuronal migration, since the final position of neurons affects neuro...

  20. SOCIAL MOOD AND THE MIGRATION INTENTIONS OF YOUTH IN THE REPUBLIC OF MORDOVIA (SOCIOLOGICAL ANALYSIS

    Directory of Open Access Journals (Sweden)

    Katerina Vladislavovna Fofanova

    2015-12-01

    Full Text Available The article studies social mood and the migration intentions of the youth in the Republic of Mordovia. It is focused on theoretical and empirical approaches to the study of social mood, which reveals its integrative nature and the possibility of correlation between social mood and migration intentions. The article is based on the empirical study «Social transformation and the situation of youth in the region», carried out by questionnaire in 2015. The survey sampling is a quota on the basis of age from 16 to 30 years and gender (52% women, 48% men. A total of 260 persons were interrogated (sampling error 5%. The research questionnaire contained a sting of several thematic blocks: the social mood of youth, value orientation, the degree of satisfaction of needs.The results of the study showed that young people in the region can be divided into two almost equal groups with «positive» and «negative» moods. The half of youth assess their financial situation as «satisfactory» and «bad», in the region they has no opportunity to meet the needs associated with professional activities, estimate environmental situation in the region as low, but the spiritual components of their activities, expressed in the communication with friends and family members deserved a more positive evaluation. Pessimism concerning the economic situation and occupational prospects, the awareness of low social status strengthen migration intentions and causes increase in migration flows of young people.Based on the results of the study recommendations, aimed at addressing migration issues in the region, are made.

  1. Utility of internally transcribed spacer region of rDNA (ITS) and β‐tubulin gene sequences to infer genetic diversity and migration patterns of Colletotrichum truncatum infecting Capsicum spp.

    OpenAIRE

    Rampersad, Kandyce; Ramdial, Hema; Rampersad, Sephra N

    2016-01-01

    Abstract Anthracnose is among the most economically important diseases affecting pepper (Capsicum spp.) production in the tropics and subtropics. Of the three species of Colletotrichum implicated as causal agents of pepper anthracnose, C. truncatum is considered to be the most destructive in agro‐ecosystems worldwide. However, the genetic variation and the migration potential of C. truncatum infecting pepper are not known. Five populations were selected for study and a two‐locus (internally t...

  2. Multi-component pre-stack time-imaging and migration-based velocity analysis in transversely isotropic media; Imagerie sismique multicomposante et analyse de vitesse de migration en milieu transverse isotrope

    Energy Technology Data Exchange (ETDEWEB)

    Gerea, C.V.

    2001-06-01

    Complementary to the recording of compressional (P-) waves, the observation of P-S converted waves has recently been receiving specific attention. This is mainly due to their tremendous potential as a tool for fracture and lithology characterization, imaging sediments in gas saturated rocks, and imaging shallow sediments with higher resolution than conventional P-P data. In a conventional marine seismic survey, we cannot record P-to-S converted-wave energy since the fluids cannot support shear-wave strain. Thus, to capture the converted-wave energy, we need to record it at the water-bottom casing an ocean-bottom cable (OBC). The S-waves recorded at the seabed are mainly converted from P to S (i.e., PS-waves or C-waves) at the subsurface reflectors. The most accurate way to image seismic data is pre-stack depth migration. In this thesis, I develop a numerically efficient 2.5-D true-amplitude elastic Kirchhoff pre-stack migration algorithm designed to handle OBC data gathered along a single line. All the kinematic and dynamic elastic Green's functions required in the computation of true-amplitude weight term of Kirchhoff summation, are based on the non-hyperbolic explicit approximations of P- and SV-wave travel-times in layered transversely isotropic (VTI) media. Hence, this elastic imaging algorithm is very well-suited for migration-based velocity analysis techniques, for which fast, robust and iterative pre-stack migration is desired. In this thesis, I approach also the topic of anisotropic velocity model building for elastic pre-stack time-imaging. and propose an original methodology for joint PP-PS migration-based velocity analysis (MVA) in layered VTI anisotropic media. Tests on elastic synthetic and real OBC seismic data ascertain the validity of the pre-stack migration algorithm and velocity analysis methodology. (author)

  3. Prediction analysis and comparison between agriculture and mining stocks in Indonesia by using adaptive neuro-fuzzy inference system (ANFIS)

    Science.gov (United States)

    Mahandrio, Irsantyo; Budi, Andriantama; Liong, The Houw; Purqon, Acep

    2015-09-01

    The growing patterns in cultural and mining sectors are interesting particularly in developed country such as in Indonesia. Here, we investigate the local characteristics of stocks between the sectors of agriculture and mining which si representing two leading companies and two common companies in these sectors. We analyze the prediction by using Adaptive Neuro Fuzzy Inference System (ANFIS). The type of Fuzzy Inference System (FIS) is Sugeno type with Generalized Bell membership function (Gbell). Our results show that ANFIS is a proper method to predicting the stock market with the RMSE : 0.14% for AALI and 0.093% for SGRO representing the agriculture sectors, meanwhile, 0.073% for ANTM and 0.1107% for MDCO representing the mining sectors.

  4. Single-Trial Analysis of Neuroimaging Data: Inferring Neural Networks Underlying Perceptual Decision-Making in the Human Brain

    OpenAIRE

    Sajda, Paul; Philiastides, Marios G.; Parra, Lucas C.

    2009-01-01

    Advances in neural signal and image acquisition as well as in multivariate signal processing and machine learning are enabling a richer and more rigorous understanding of the neural basis of human decision-making. Decision-making is essentially characterized behaviorally by the variability of the decision across individual trials—e.g., error and response time distributions. To infer the neural processes that govern decision-making requires identifying neural correlates of such trial-to-trial ...

  5. Analysis of the Research Status and Topics on the Radionuclide Migration and Retardation in Natural Barriers

    Energy Technology Data Exchange (ETDEWEB)

    Baik, Min Hoon; Park, Chung Kyun; Kim, Seung Soo; Lee, Seung Yeop; Lee, Jae Kwang [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of)

    2008-12-15

    In this report, recent research status for major developed countries in the high-level radioactive waste disposal including international organizations was investigated and analyzed in research topics for the radionuclide migration and retardation in natural barriers. Besides, recent research trends and future prospects were investigated for selected major 10 topics about the radionuclide migration and retardation processes. Based upon these investigations and analyses, future research goals and topics to be concentrated were presented. This report will be helpful for understanding our current research status and technical position and establishing future research direction and topics by analyzing domestic and foreign research status and trends. The results will also be utilized as basic information for establishing future policy and plans of the government for the high-level radioactive waste disposal.

  6. Analysis of the Research Status and Topics on the Radionuclide Migration and Retardation in Natural Barriers

    International Nuclear Information System (INIS)

    In this report, recent research status for major developed countries in the high-level radioactive waste disposal including international organizations was investigated and analyzed in research topics for the radionuclide migration and retardation in natural barriers. Besides, recent research trends and future prospects were investigated for selected major 10 topics about the radionuclide migration and retardation processes. Based upon these investigations and analyses, future research goals and topics to be concentrated were presented. This report will be helpful for understanding our current research status and technical position and establishing future research direction and topics by analyzing domestic and foreign research status and trends. The results will also be utilized as basic information for establishing future policy and plans of the government for the high-level radioactive waste disposal

  7. Eating or Meeting? Cluster Analysis Reveals Intricacies of White Shark (Carcharodon carcharias) Migration and Offshore Behavior

    OpenAIRE

    Jorgensen, Salvador J.; Arnoldi, Natalie S.; Ethan E Estess; Chapple, Taylor K.; Martin Rückert; Scot D. Anderson; Barbara A. Block

    2012-01-01

    Elucidating how mobile ocean predators utilize the pelagic environment is vital to understanding the dynamics of oceanic species and ecosystems. Pop-up archival transmitting (PAT) tags have emerged as an important tool to describe animal migrations in oceanic environments where direct observation is not feasible. Available PAT tag data, however, are for the most part limited to geographic position, swimming depth and environmental temperature, making effective behavioral observation challengi...

  8. Female Brain Drains and Women's Rights Gaps: A Gravity Model Analysis of Bilateral Migration Flows

    OpenAIRE

    Naghsh Nejad, Maryam; Young, Andrew

    2014-01-01

    In this paper we model the migration decisions of high-skilled women as a function of the benefits associated with moving from an origin with relatively low women's rights to a destination with a relatively high level of women's rights. However, the costs faced by women are decreasing in the level of women's rights provided. The model predicts a non-linear relationship between the relative levels of women's rights in destination versus origin countries (the women's rights gap) and the gender ...

  9. Bank Credit Risk Management and Rating Migration Analysis on the Business Cycle

    OpenAIRE

    Dimitris Gavalas; Theodore Syriopoulos

    2014-01-01

    Credit risk measurement remains a critical field of top priority in banking finance, directly implicated in the recent global financial crisis. This paper examines the dynamic linkages between credit risk migration due to rating shifts and prevailing macroeconomic conditions, reflected in alternative business cycle states. An innovative empirical methodology applies to bank internal rating data, under different economic scenarios and investigates the implications of credit risk quality shift...

  10. Compilation of data for the analysis of radionuclide migration from SFL 3-5

    International Nuclear Information System (INIS)

    A preliminary safety assessment of the deep repository for long-lived, low and intermediate level waste, SFL 3-5, has been made. This report contains a compilation of data selected for the calculations of the migration of radionuclides and toxic metals from the waste to the biosphere. It also contains the data needed for the next step, which is to calculate dose to man from the far-field release figures. In the preliminary safety assessment it is assumed that SFL 3-5 is located in connection to the deep repository for spent fuel. This makes it possible to utilise site-specific information derived within the safety assessment of the deep repository for spent fuel, SR 97, for the sites Aberg, Beberg and Ceberg. When information from SR 97 is utilised, the values selected are as far as possible those proposed as a 'reasonable estimate' for the migration calculations in SR 97. The selection of values for parameters specific for the calculation of migration from the SFL 3-5 repository is in general on the pessimistic side. The uncertainty in the selected values is discussed and if possible also quantified

  11. A simulation analysis of the migration and transformation of pollutants contained in landfill leachate

    Institute of Scientific and Technical Information of China (English)

    WANG Hong-qi; TIAN Kai-ming; QI Yong-qiang; CHEN Jia-jun; WANG Ya-nan

    2003-01-01

    A dynamic composite model for a soil-water system that can be used to simulate the movement of leachate from a landfill. The composite model includes nine sub-models that trace water movement and the migration and transformation of five pollutants(organic N, NH4- ,NO3- , NO2- , and Cl- ) in saturated and unsaturated soil. The model to simulate the movement of leachate from a landfill in Laogang Town,Shanghai City was used. In this application, the values for the model parameters were obtained by performing a laboratory simulation experiment of water movement and pollutant migration and transformation in soil colunms. Soil and leachate obtained from the landfill site and its vicinity were used in the laboratory experiments. The model was then used to simulate leachate movement and pollutant activity during the ten-year period when the landfill was in operation and in the twenty-year period following its closure. The simulation results revealed that the leachate migrated into the groundwater at the rate of 90-100 meters per year. This model can be applied in the design of future landfills in China for the purpose of assessing and forecasting leachate plumes.

  12. Compilation of data for the analysis of radionuclide migration from SFL 3-5

    Energy Technology Data Exchange (ETDEWEB)

    Skagius, K.; Pettersson, Michael; Wiborgh, M. [Kemakta Konsult AB, Stockholm (Sweden); Albinsson, Yngve; Holgersson, Stellan [Chalmers Univ. of Technology, Goeteborg (Sweden). Dept. of Nuclear Chemistry

    1999-12-01

    A preliminary safety assessment of the deep repository for long-lived, low and intermediate level waste, SFL 3-5, has been made. This report contains a compilation of data selected for the calculations of the migration of radionuclides and toxic metals from the waste to the biosphere. It also contains the data needed for the next step, which is to calculate dose to man from the far-field release figures. In the preliminary safety assessment it is assumed that SFL 3-5 is located in connection to the deep repository for spent fuel. This makes it possible to utilise site-specific information derived within the safety assessment of the deep repository for spent fuel, SR 97, for the sites Aberg, Beberg and Ceberg. When information from SR 97 is utilised, the values selected are as far as possible those proposed as a 'reasonable estimate' for the migration calculations in SR 97. The selection of values for parameters specific for the calculation of migration from the SFL 3-5 repository is in general on the pessimistic side. The uncertainty in the selected values is discussed and if possible also quantified.

  13. Inferred vs Realized Patterns of Gene Flow: An Analysis of Population Structure in the Andros Island Rock Iguana

    OpenAIRE

    Colosimo, Giuliano; Knapp, Charles R.; Lisa E Wallace; Welch, Mark E.

    2014-01-01

    Ecological data, the primary source of information on patterns and rates of migration, can be integrated with genetic data to more accurately describe the realized connectivity between geographically isolated demes. In this paper we implement this approach and discuss its implications for managing populations of the endangered Andros Island Rock Iguana, Cyclura cychlura cychlura. This iguana is endemic to Andros, a highly fragmented landmass of large islands and smaller cays. Field observatio...

  14. Fundamental analysis and algorithms for development of a mobile fast-scan lateral migration radiography system

    Science.gov (United States)

    Su, Zhong

    Lateral migration radiography (LMR) is a unique x-ray Compton backscatter imaging (CBI) technique to image surface and subsurface, or internal structure of an object. An x-ray pencil beam scans the interrogated area and the backscattered photons are registered by detectors which have varying degrees of collimation. In early LMR applications, either the LMR systems or the imaged objects are moved on a rectangular grid, and at each node, the systems register backscattered photon energy deposition as pixel intensity in acquired images. The mechanical movement of the system or objects from pixel to pixel causes prolonged image scan time with a high percentage of system dead time. To avoid this drawback, a particular x-ray beam formation technique is proposed and analyzed. A corresponding mobile, fast-scan LMR system is designed, fabricated and tested. The results show a two orders-of-magnitude reduction in image scan time compared with those of previous systems. The x-ray beam formation technique, based on a rotating collimator in the LMR system, implements surface line scan by sampling an x-ray fan beam. This rotating collimator yields unique imaging effects compared to those for an x-ray beam with fixed collimation and perpendicular incidence: (1) the speed of the x-ray beam spot on the scanned surface is not uniform; (2) constant movement of the x-ray beam spot changes the resolution in the image raster direction; (3) x-ray beam spot size changes with location on the scanned surface; (4) the object image shows a squeezed effect in the raster scan direction; (5) under a uniform background, the Compton scatter angular distribution causes the x-ray backscatter field to be stronger, when the x-ray beam has greater incidence angle; and (6) the x-ray illumination spot trace on the scanned surface is skewed. The physics generating these effects is analyzed with Monte Carlo computer simulations and/or measurements. Image acquisition and image processing algorithms are

  15. Paleomagnetic Analysis of Block Rotations in the Wake of the Migrating Tjörnes Transform Zone in Northern Iceland

    Science.gov (United States)

    Horst, A. J.; Varga, R. J.; Gee, J. S.; Karson, J.

    2011-12-01

    Oceanic propagating rifts create migrating transform fault zones on the seafloor that leave a wake of deformed and rotated crustal blocks between abandoned transform fault stands. Faulting and rotation kinematics in these areas are inferred from bathymetric lineaments and earthquake focal mechanisms, but the details of crustal deformation associated with migrating oceanic transforms is inhibited by limited seafloor exposures and access. A similar propagating rift and migrating transform system occurs in thick oceanic-like crust of Northern Iceland, providing an additional perspective on kinematics of these systems. The Tjörnes Fracture Zone (TFZ) in Northern Iceland is a broad region of deformation thought to have formed ~7 Ma. Right-lateral motion is accommodated mostly on two WNW-trending seismically active fault zones, the Grímsey Seismic Zone and the Húsavík-Flatey Fault (HFF), spaced ~40 km apart. Both are primarily offshore; however, deformation south of the HFF is partly exposed on land over an area of >10 km (N/S) and >25 km (E/W) on the peninsula of Flateyjarskagi. Previous work has shown that average lava flow orientations progressively change from 160°/12° SW (~20 km south from HFF), to 183°/25° NW (~12 km S of HFF), and 212°/33° NW (~6 km S of HFF). Dike orientations also progressively change from 010°/85° SE (parallel to the Northern Rift Zone), clockwise to 110°/75° SW (nearly parallel to the HFF) near the HFF. Pervasive strike-slip faulting is evident along the HFF as well as on isolated faults to the south. Between these, NNE-striking left-lateral, oblique-slip faults occur near the HFF but appear to decrease in occurrence to the south. These relationships have been interpreted as either the result of transform shear deformation (secondary features) or construction in a stress field that varies as the transform is approached (primary features). Paleomagnetic data from across the area can test these hypotheses. Mean paleomagnetic

  16. Utility of internally transcribed spacer region of rDNA (ITS) and β-tubulin gene sequences to infer genetic diversity and migration patterns of Colletotrichum truncatum infecting Capsicum spp.

    Science.gov (United States)

    Rampersad, Kandyce; Ramdial, Hema; Rampersad, Sephra N

    2016-01-01

    Anthracnose is among the most economically important diseases affecting pepper (Capsicum spp.) production in the tropics and subtropics. Of the three species of Colletotrichum implicated as causal agents of pepper anthracnose, C. truncatum is considered to be the most destructive in agro-ecosystems worldwide. However, the genetic variation and the migration potential of C. truncatum infecting pepper are not known. Five populations were selected for study and a two-locus (internally transcribed spacer region, ITS1-5.8S-ITS2, and β-tubulin, β-TUB) sequence data set was generated and used in the analyses. Sequences of the ITS region were less informative than β -tubulin gene sequences based on comparisons of DNA polymorphism indices. Trinidad had the highest genetic diversity and also had the largest effective population size in pairwise comparisons with the other populations. The Trinidad population also demonstrated significant genetic differentiation from the other populations. AMOVA and STRUCTURE analyses both suggested significant genetic variation within populations more so than among populations. A consensus Maximum Likelihood tree based on β-TUB gene sequences revealed very little intraspecific diversity for all isolates except for Trinidad. Two clades consisting solely of Trinidad isolates may have diverged earlier than the other isolates. There was also evidence of directional migration among the five populations. These findings may have a direct impact on the development of integrated disease management strategies to control C. truncatum infection in pepper. PMID:26843942

  17. Statistical inferences in phylogeography

    DEFF Research Database (Denmark)

    Nielsen, Rasmus; Beaumont, Mark A

    2009-01-01

    can randomly lead to multiple different genealogies. Likewise, the same gene trees can arise under different demographic models. This problem has led to the emergence of many statistical methods for making phylogeographic inferences. A popular phylogeographic approach based on nested clade analysis is...... challenged by the fact that a certain amount of the interpretation of the data is left to the subjective choices of the user, and it has been argued that the method performs poorly in simulation studies. More rigorous statistical methods based on coalescence theory have been developed. However, these methods...... may also be challenged by computational problems or poor model choice. In this review, we will describe the development of statistical methods in phylogeographic analysis, and discuss some of the challenges facing these methods....

  18. Bank Credit Risk Management and Rating Migration Analysis on the Business Cycle

    Directory of Open Access Journals (Sweden)

    Dimitris Gavalas

    2014-03-01

    Full Text Available Credit risk measurement remains a critical field of top priority in banking finance, directly implicated in the recent global financial crisis. This paper examines the dynamic linkages between credit risk migration due to rating shifts and prevailing macroeconomic conditions, reflected in alternative business cycle states. An innovative empirical methodology applies to bank internal rating data, under different economic scenarios and investigates the implications of credit risk quality shifts for risk rating transition matrices. The empirical findings are useful and critical for banks to align to Basel guidelines in relation to core capital requirements and risk-weighted assets in the underlying loan portfolio.

  19. Scenarios for groundwater flow and radionuclide migration of concern for the TVO-92 safety analysis

    International Nuclear Information System (INIS)

    The project aims at formulating different scenarios relevant to performance assessment of radioactive waste repositories in a crystalline rock formation. The scenarios studied range from a repository located in virgin rock to more complex situations with the potential repository located in the rock but being intersected by fracture zones with different inclinations and strikes relative to the prevailing gradient. The project comprises a study of regional flow and migration systems, and also involves discussions on local scale phenomena such as release from the canisters to the near-field barrier, and phenomena related to the disturbed zone around the repository tunnels

  20. Credit Risk Migration Analysis of Illinois Farm Business: Possible Impacts of Farm Business Cycle

    OpenAIRE

    Zhang, Tianwei; Katchova, Ani L.

    2005-01-01

    This study uses the cohort approach to estimate the credit risk migration probability of farm business. Using data from the Farm Business and Farm Management, this study rates the credit risk into 10 risk levels plus a default level, defines a farm business cycle with peak, normal and trough periods and evaluates the effect on farm financial performance of the farm business booms and slumps. The results show that the farms with low credit risk are more likely to stay in the same risk level bu...

  1. Adaptive neuro-fuzzy inference system for acoustic analysis of 4-channel phonocardiograms using empirical mode decomposition.

    Science.gov (United States)

    Becerra, Miguel A; Orrego, Diana A; Delgado-Trejos, Edilson

    2013-01-01

    The heart's mechanical activity can be appraised by auscultation recordings, taken from the 4-Standard Auscultation Areas (4-SAA), one for each cardiac valve, as there are invisible murmurs when a single area is examined. This paper presents an effective approach for cardiac murmur detection based on adaptive neuro-fuzzy inference systems (ANFIS) over acoustic representations derived from Empirical Mode Decomposition (EMD) and Hilbert-Huang Transform (HHT) of 4-channel phonocardiograms (4-PCG). The 4-PCG database belongs to the National University of Colombia. Mel-Frequency Cepstral Coefficients (MFCC) and statistical moments of HHT were estimated on the combination of different intrinsic mode functions (IMFs). A fuzzy-rough feature selection (FRFS) was applied in order to reduce complexity. An ANFIS network was implemented on the feature space, randomly initialized, adjusted using heuristic rules and trained using a hybrid learning algorithm made up by least squares and gradient descent. Global classification for 4-SAA was around 98.9% with satisfactory sensitivity and specificity, using a 50-fold cross-validation procedure (70/30 split). The representation capability of the EMD technique applied to 4-PCG and the neuro-fuzzy inference of acoustic features offered a high performance to detect cardiac murmurs. PMID:24109851

  2. Quantitative Analysis of the Migration and Accumulation of Bacillus subtilis in Asparagus officinalis.

    Science.gov (United States)

    Hao, Bian-Qing; Ma, Li-Ping; Qiao, Xiong-Wu

    2015-09-01

    Bacillus subtilis B96-II is a broad-spectrum biological control strain. It effectively suppresses soil-borne fungal diseases in vegetables. A green fluorescence protein (GFP) was expressed in B96-II to detect migration of B96-II into the root and stem of asparagus. The GFP-tagged B96-II (B96-II-GFP) strain exhibited bright green fluorescence under a fluorescence microscope. GFP was stable and had no apparent effects on the growth of the strain. Asparagus plants were planted in the soil inoculated with B96-II-GFP. Our results showed that B96-II-GFP was detected in both the root and stem 15, 30, and 45 days after the asparagus seedlings were planted. B96-II-GFP was also detected in leaves but at a lower concentration. The highest concentration was detected in 15 days, and the number of bacteria decreased subsequently irrespective of duration of growth or sampling period. The highest concentration of B96-II-GFP was present in the root base suggesting that the root base served as the hub of bacterial migration from the soil to the stem. PMID:26126832

  3. Inferring regulatory elements from a whole genome. An analysis of Helicobacter pylori sigma(80) family of promoter signals.

    Science.gov (United States)

    Vanet, A; Marsan, L; Labigne, A; Sagot, M F

    2000-03-24

    Helicobacter pylori is adapted to life in a unique niche, the gastric epithelium of primates. Its promoters may therefore be different from those of other bacteria. Here, we determine motifs possibly involved in the recognition of such promoter sequences by the RNA polymerase using a new motif identification method. An important feature of this method is that the motifs are sought with the least possible assumptions about what they may look like. The method starts by considering the whole genome of H. pylori and attempts to infer directly from it a description for a family of promoters. Thus, this approach differs from searching for such promoters with a previously established description. The two algorithms are based on the idea of inferring motifs by flexibly comparing words in the sequences with an external object, instead of between themselves. The first algorithm infers single motifs, the second a combination of two motifs separated from one another by strictly defined, sterically constrained distances. Besides independently finding motifs known to be present in other bacteria, such as the Shine-Dalgarno sequence and the TATA-box, this approach suggests the existence in H. pylori of a new, combined motif, TTAAGC, followed optimally 21 bp downstream by TATAAT. Between these two motifs, there is in some cases another, TTTTAA or, less frequently, a repetition of TTAAGC separated optimally from the TATA-box by 12 bp. The combined motif TTAAGCx(21+/-2)TATAAT is present with no errors immediately upstream from the only two copies of the ribosomal 23 S-5 S RNA genes in H. pylori, and with one error upstream from the only two copies of the ribosomal 16 S RNA genes. The operons of both ribosomal RNA molecules are strongly expressed, representing an encouraging sign of the pertinence of the motifs found by the algorithms. In 25 cases out of a possible 30, the combined motif is found with no more than three substitutions immediately upstream from ribosomal proteins, or

  4. Analysis prediction of Indonesian banks (BCA, BNI, MANDIRI) using adaptive neuro-fuzzy inference system (ANFIS) and investment strategies

    Science.gov (United States)

    Trianto, Andriantama Budi; Hadi, I. M.; Liong, The Houw; Purqon, Acep

    2015-09-01

    Indonesian economical development is growing well. It has effect for their invesment in Banks and the stock market. In this study, we perform prediction for the three blue chips of Indonesian bank i.e. BCA, BNI, and MANDIRI by using the method of Adaptive Neuro-Fuzzy Inference System (ANFIS) with Takagi-Sugeno rules and Generalized bell (Gbell) as the membership function. Our results show that ANFIS perform good prediction with RMSE for BCA of 27, BNI of 5.29, and MANDIRI of 13.41, respectively. Furthermore, we develop an active strategy to gain more benefit. We compare between passive strategy versus active strategy. Our results shows that for the passive strategy gains 13 million rupiah, while for the active strategy gains 47 million rupiah in one year. The active investment strategy significantly shows gaining multiple benefit than the passive one.

  5. Inference from some pharmacokinetic and pharmacodynamic parameters of busulfan through the analysis of its induction kinetics of micronuclei polychromated erythrocytes

    International Nuclear Information System (INIS)

    The induction kinetics of micronuclei polychromated eritrocites (EPC-MN) which is produced by busulfan and compared with that produced by the ionizing radiation, allows to make inferences over the pharmacokinetics and pharmacodynamics of busulfan. Observing two induction mechanisms of MN, this one early at low doses and other later at high doses, this last is presented to a critical dose being very sheer and associated with an increase of the cytotoxicity. The data suggest the transformation or dependence between these two types of leisures, which to determine the narrow therapeutical margin of busulfan. The pharmacokinetic parameters determined in the early mechanisms kinetics indicate a latency period, a time of effective activity and of half life 5.7, 5.2 and 2.6 h respectively. (Author)

  6. The role of natural organic matter in the migration behaviour of americium in the Boom clay - Part II: analysis of migration experiments

    International Nuclear Information System (INIS)

    Full text of publication follows: In demonstrating the suitability of Boom Clay as a potential site for the disposal of radioactive waste in Belgium, the role of the relatively high amount of Natural Organic Matter (NOM) present in the Boom Clay on the mobility of critical radionuclides needs investigation. Trivalent actinides and lanthanides form strong complexes with humic substances. Complexation of these trivalent radionuclides with NOM present in the Boom Clay may have opposing effects. If complexed by the aqueous phase (mobile) NOM, radionuclide transport will be governed by the mobility of these dissolved radionuclide-NOM species. If complexed by the solid phase (immobile) NOM, migration will be retarded. One of the aims of the EC projects TRANCOM-Clay and TRANCOM-II was to investigate the role of mobile NOM as radionuclide carrier with the objective of deriving conceptual models that can be implemented in repository performance assessment (PA) models. A separate paper describes the results of column migration experiments involving the transport of 241Am-14C-NOM complexes through Boom Clay cores. This paper describes the transport model, POPCORN, that was developed to describe and evaluate the influence of NOM on radionuclide transport in clay, taking into account attachment/detachment rates of NOM to clay surfaces and the kinetics of RN complexation to, and destabilization from, NOM. The POPCORN model was used to evaluate diffusion experiments involving injection of 14C-labelled NOM in Boom Clay cores. Model fits were obtained by varying the rates of filtration of NOM by attachment to the surface of the clay matrix. POPCORN was then used to analyse the 241Am-14C-NOM migration experiments. The stability properties of the 241Am-NOM were characterised by kinetic constants, and good matches to the migration data were achieved for the experiments. The findings suggest that a small sub-population of the original 241Am-OM is the most stable, and that this sub

  7. Validation of the RBS analysis for colloid migration through a rough granite surface

    International Nuclear Information System (INIS)

    Colloids permeation into microfractures of crystalline rocks has been recently studied by RBS techniques, in order to determine the colloid diffusion coefficients in a laboratory time span. The measure of concentration profiles at the micrometer scale can be performed by RBS technique, however fakes due to surface heterogeneity and roughness can affect the spectra interpretation. In order to validate the technique in the particular case of colloid migration in granite, a study of the concentration profiles of 40 and 100 nm gold colloids is presented in this work. Contact time dependence of the RBS gold signal and experiments performed at different incident angles suggest that the observed signal is actually due to Au depth profiles and not to roughness effects. Furthermore, Monte Carlo simulations have been developed to differentiate the effects of the surface roughness and particle deposition on the surface, from colloids permeation

  8. Meta-Analysis of Mitochondrial DNA Reveals Several Population Bottlenecks during Worldwide Migrations of Cattle

    Directory of Open Access Journals (Sweden)

    Johannes A. Lenstra

    2014-03-01

    Full Text Available Several studies have investigated the differentiation of mitochondrial DNA in Eurasian, African and American cattle as well as archaeological bovine material. A global survey of these studies shows that haplogroup distributions are more stable in time than in space. All major migrations of cattle have shifted the haplogroup distributions considerably with a reduction of the number of haplogroups and/or an expansion of haplotypes that are rare or absent in the ancestral populations. The most extreme case is the almost exclusive colonization of Africa by the T1 haplogroup, which is rare in Southwest Asian cattle. In contrast, ancient samples invariably show continuity with present-day cattle from the same location. These findings indicate strong maternal founder effects followed by limited maternal gene flow when new territories are colonized. However, effects of adaptation to new environments may also play a role.

  9. Uncertainty and sensitivity analysis of radionuclide migration through the engineered barriers of deep geological repository: Case of RBMK-1500 SNF

    International Nuclear Information System (INIS)

    Like other nuclear countries, Lithuania is facing the problem of spent nuclear fuel (SNF) disposal from RBMK-1500 type reactors at the Ignalina NPP (~22,000 of the SNF assemblies). The application of probabilistic and deterministic methods for uncertainty assessment and important parameter ranking is of high importance in order to build confidence in the assessment results on radionuclide migration and indicates directions for further uncertainty reduction. This study is devoted to the uncertainty and sensitivity analysis of radionuclide migration through the engineered barriers of a conceptual geological repository for RBMK-1500 SNF disposal. The analysis was performed using computer codes AMBER (United Kingdom) and MATLAB (Sweden). The analysis showed that the uncertainty of defect enlargement time had no significant impact on 129I and 226Ra peak flux from the engineered barriers yet it was an important parameter for time dependent mean flux of 129I. Sensitivity analysis revealed that in the case of 129I peak flux, further investigations should be oriented to more precise determination of diffusion coefficient in bentonite, instant release fraction and SNF dissolution rate. In the case of 226Ra, efforts to reduce the uncertainty of SNF dissolution rate, sorption coefficient in bentonite and equivalent flow rate should be made. - Highlights: • Importance of uncertainty of main transport related parameters is nuclide specific. • Parameter ranking varies for performance metrics (peak flux, time dependent flux). • Uncertainty of defect enlargement is important for the mean flux of 129I. • 129I and 226Ra peak flux is insensitive to defect enlargement time

  10. Inferring deterministic causal relations

    CERN Document Server

    Daniusis, Povilas; Mooij, Joris; Zscheischler, Jakob; Steudel, Bastian; Zhang, Kun; Schoelkopf, Bernhard

    2012-01-01

    We consider two variables that are related to each other by an invertible function. While it has previously been shown that the dependence structure of the noise can provide hints to determine which of the two variables is the cause, we presently show that even in the deterministic (noise-free) case, there are asymmetries that can be exploited for causal inference. Our method is based on the idea that if the function and the probability density of the cause are chosen independently, then the distribution of the effect will, in a certain sense, depend on the function. We provide a theoretical analysis of this method, showing that it also works in the low noise regime, and link it to information geometry. We report strong empirical results on various real-world data sets from different domains.

  11. The Statistical Analysis of Migration of Strong Earthquakes-Taking the North China Region as an Example

    Institute of Scientific and Technical Information of China (English)

    Qin Chengzhi; Zhou Chenghu; Pei Tao; Li Quanlin

    2004-01-01

    The migration of strong earthquakes is an important research topic because the migration phenomena reflect partly the seismic mechanism and involve the prediction of tendency of seismic activity. Research on migration of strong earthquakes has mostly focused on finding the phenomena. Some attempts on getting regularity were comparatively subjective. This paper suggests that there should be indices of migration in earthquake dataset and the indexes should have statistical meaning if there is regularity in the migration of strong earthquakes. In this study, three derivative attributes of migration, i.e., migration orientation, migration distance and migration time interval, were statistically analyzed. Results in the North China region show that the migration of strong earthquakes has statistical meaning. There is a dominant migration orientation (W by S to E by N), a dominant distance ( ≤ 100km and on the confines of 300 ~ 700km), and a dominant time interval ( ≤ 1 a and on the confines of 3 ~ 4a). The results also show that the migration will differ slightly with different magnitude range or earthquake activity phase.

  12. Potential of qualitative network analysis in migration studies- Reflections based on an empirical analysis of young researchers' mobility aspirations

    OpenAIRE

    Elisabeth Scheibelhofer

    2011-01-01

    Based on the example of an empirical research study, the paper examines the strengths and limitations of a qualitative network approach to migration and mobility. The method of graphic drawings produced by the respondents within an interview setting was applied. With this method, we argue to be able to analyse migrants’ specific social embeddedness and its influence on future mobility aspirations. Likewise, connections between the migratory biography and the individuals’ various social relati...

  13. Evidence for Patterns of Selective Urban Migration in the Greater Indus Valley (2600-1900 BC: A Lead and Strontium Isotope Mortuary Analysis.

    Directory of Open Access Journals (Sweden)

    Benjamin Valentine

    Full Text Available Just as modern nation-states struggle to manage the cultural and economic impacts of migration, ancient civilizations dealt with similar external pressures and set policies to regulate people's movements. In one of the earliest urban societies, the Indus Civilization, mechanisms linking city populations to hinterland groups remain enigmatic in the absence of written documents. However, isotopic data from human tooth enamel associated with Harappa Phase (2600-1900 BC cemetery burials at Harappa (Pakistan and Farmana (India provide individual biogeochemical life histories of migration. Strontium and lead isotope ratios allow us to reinterpret the Indus tradition of cemetery inhumation as part of a specific and highly regulated institution of migration. Intra-individual isotopic shifts are consistent with immigration from resource-rich hinterlands during childhood. Furthermore, mortuary populations formed over hundreds of years and composed almost entirely of first-generation immigrants suggest that inhumation was the final step in a process linking certain urban Indus communities to diverse hinterland groups. Additional multi disciplinary analyses are warranted to confirm inferred patterns of Indus mobility, but the available isotopic data suggest that efforts to classify and regulate human movement in the ancient Indus region likely helped structure socioeconomic integration across an ethnically diverse landscape.

  14. Evidence for Patterns of Selective Urban Migration in the Greater Indus Valley (2600-1900 BC): A Lead and Strontium Isotope Mortuary Analysis.

    Science.gov (United States)

    Valentine, Benjamin; Kamenov, George D; Kenoyer, Jonathan Mark; Shinde, Vasant; Mushrif-Tripathy, Veena; Otarola-Castillo, Erik; Krigbaum, John

    2015-01-01

    Just as modern nation-states struggle to manage the cultural and economic impacts of migration, ancient civilizations dealt with similar external pressures and set policies to regulate people's movements. In one of the earliest urban societies, the Indus Civilization, mechanisms linking city populations to hinterland groups remain enigmatic in the absence of written documents. However, isotopic data from human tooth enamel associated with Harappa Phase (2600-1900 BC) cemetery burials at Harappa (Pakistan) and Farmana (India) provide individual biogeochemical life histories of migration. Strontium and lead isotope ratios allow us to reinterpret the Indus tradition of cemetery inhumation as part of a specific and highly regulated institution of migration. Intra-individual isotopic shifts are consistent with immigration from resource-rich hinterlands during childhood. Furthermore, mortuary populations formed over hundreds of years and composed almost entirely of first-generation immigrants suggest that inhumation was the final step in a process linking certain urban Indus communities to diverse hinterland groups. Additional multi disciplinary analyses are warranted to confirm inferred patterns of Indus mobility, but the available isotopic data suggest that efforts to classify and regulate human movement in the ancient Indus region likely helped structure socioeconomic integration across an ethnically diverse landscape. PMID:25923705

  15. SEMANTIC PATCH INFERENCE

    DEFF Research Database (Denmark)

    Andersen, Jesper

    2009-01-01

    Collateral evolution the problem of updating several library-using programs in response to API changes in the used library. In this dissertation we address the issue of understanding collateral evolutions by automatically inferring a high-level specification of the changes evident in a given set ...... specifications inferred by spdiff in Linux are shown. We find that the inferred specifications concisely capture the actual collateral evolution performed in the examples....

  16. Analysis of the Ecological Migration Pattern in Ethnic Minority Areas——A Case Study of Ningxia Hui Autonomous Region

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    By taking Ningxia Hui Autonomous Region as an example,this paper analyzes the ecological migration pattern in ethnic minority areas.The basic patterns of development for poverty relief in Ningxia are in-situ migration and new area development pattern.The new area development pattern includes three types,namely small town development pattern around urban radiation districts,urban labor migration pattern,and large-scale ecological migration pattern.Finally,successful experience of ecological migration in Ningxia is summarized.First,scientific industrial planning shall be made on the basis of proper selection of ecological migration location in immigrant settlement regions.Second,scientific and comprehensive ecological migration policies should be formulated.

  17. Medical migration.

    Science.gov (United States)

    Loefler, I J

    2001-10-01

    The issue of professional migration, however emotional it may have become, ought not to be regarded in moralizing terms. The history of western medicine is the history of migrating physicians. A doctor who moves from a locality to another to take up a new assignment there cannot be said to have "abandoned his patients". This emotional bond has become the victim of specialization and of depersonalization of medical services and not of medical migration, brain drain or otherwise. The primary reason for medical migration is not financial; the desire to migrate usually begins with the desire to learn. Professionals crave in the first line for professional satisfaction. The migration of medical manpower cannot be stopped with administrative measures and will not be stopped by exhortations and appeals, moralization and condemnations. Brain drain is a global phenomenon and has always been so. A country which loses its professionals, its doctors, should examine the social relationships within the profession and should investigate whether the opportunities for deriving professional satisfaction from everyday work exist or whether these have been thwarted by the hierarchy, conservatism, cronyism and the general lack of comprehension of what good medical care is about. PMID:11593497

  18. Migration chemistry

    International Nuclear Information System (INIS)

    Migration chemistry, the influence of chemical -, biochemical - and physico-chemical reactions on the migration behaviour of pollutants in the environment, is an interplay between the actual natur of the pollutant and the characteristics of the environment, such as pH, redox conditions and organic matter content. The wide selection of possible pollutants in combination with varying geological media, as well as the operation of different chemical -, biochemical - and physico-chemical reactions compleactes the prediction of the influence of these processes on the mobility of pollutants. The report summarizes a wide range of potential pollutants in the terrestrial environment as well as a variety of chemical -, biochemical - and physico-chemical reactions, which can be expected to influence the migration behaviour, comprising diffusion, dispersion, convection, sorption/desorption, precipitation/dissolution, transformations/degradations, biochemical reactions and complex formation. The latter comprises the complexation of metal ions as well as non-polar organics to naturally occurring organic macromolecules. The influence of the single types of processes on the migration process is elucidated based on theoretical studies. The influence of chemical -, biochemical - and physico-chemical reactions on the migration behaviour is unambiguous, as the processes apparently control the transport of pollutants in the terrestrial environment. As the simple, conventional KD concept breaks down, it is suggested that the migration process should be described in terms of the alternative concepts chemical dispersion, average-elution-time and effective retention. (AB) (134 refs.)

  19. Fluid migration associated with allochthonous salt in the Northern Gulf of mexico: an analysis using 3D depth migrated seismic data

    Energy Technology Data Exchange (ETDEWEB)

    House, William H.; Pritchett, John A. [Amoco Production Co. (United States)

    1995-12-31

    The emplacement of allochthonous salt bodies in the Northern Gulf of Mexico, and their subsequent deformation to form secondary salt features involves the upward movement of salt along discrete feeder conduits. The detachment of allochthonous salt from a deeper source results in the collapse of these conduits. Structural disruption associated with this collapse creates a permeability pathway to allow enhanced fluid migration from depth into shallower section. Some of the high pressure fluids migration upward along these permeability conduits will impinge on a permeability barrier created by the horizontal to sub-horizontal base of allochthonous salt sheets. Additional high pressure fluids associated with shale compaction and dewatering will also move upward to the base of salt permeability barrier. The constant influx of high pressure fluids into the zone immediately below salt prevents the shale in this zone from undergoing normal compaction, resulting in the formation of a lithologically distinct gumbo zone. This gumbo zone has been encountered in many of the subsalt wells drilled in the Gulf of Mexico. Abnormally high pore pressures are often associated with this gumbo zone beneath the salt sheets covering the southern shelf area, offshore Louisiana. Formation pressure gradients within this zone can be as much as 0.04 psi/ft (0.8 ppg) above the regional pressure gradient. (author). 4 refs., 1 fig

  20. Gradient matching methods for computational inference in mechanistic models for systems biology: a review and comparative analysis

    Directory of Open Access Journals (Sweden)

    Benn eMacdonald

    2015-11-01

    Full Text Available Parameter inference in mathematical models of biological pathways, expressed as coupled ordinary differential equations (ODEs, is a challenging problem in contemporary systems biology. Conventional methods involve repeatedly solving the ODEs by numerical integration, which is computationally onerous and does not scale up to complex systems. Aimed at reducing the computational costs, new concepts based on gradient matching have recently been proposed in the computational statistics and machine learning literature. In a preliminary smoothing step, the time series data are interpolated; then, in a second step, the parameters of the ODEs are optimised so as to minimise some metric measuring the difference between the slopes of the tangents to the interpolants, and the time derivatives from the ODEs. In this way, the ODEs never have to be solved explicitly. This review provides a concise methodological overview of the current state-of-the-art methods for gradient matching in ODEs, followed by an empirical comparative evaluation based on a set of widely used and representative benchmark data.

  1. Comparative analysis of an evaporative condenser using artificial neural network and adaptive neuro-fuzzy inference system

    Energy Technology Data Exchange (ETDEWEB)

    Metin Ertunc, H. [Department of Mechatronics Engineering, Kocaeli University, Umuttepe, 41380 Kocaeli (Turkey); Hosoz, Murat [Department of Mechanical Education, Kocaeli University, Umuttepe, 41380 Kocaeli (Turkey)

    2008-12-15

    This study deals with predicting the performance of an evaporative condenser using both artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) techniques. For this aim, an experimental evaporative condenser consisting of a copper tube condensing coil along with air and water circuit elements was developed and equipped with instruments used for temperature, pressure and flow rate measurements. After the condenser was connected to an R134a vapour-compression refrigeration circuit, it was operated at steady state conditions, while varying both dry and wet bulb temperatures of the air stream entering the condenser, air and water flow rates as well as pressure, temperature and flow rate of the entering refrigerant. Using some of the experimental data for training, ANN and ANFIS models for the evaporative condenser were developed. These models were used for predicting the condenser heat rejection rate, refrigerant temperature leaving the condenser along with dry and wet bulb temperatures of the leaving air stream. Although it was observed that both ANN and ANFIS models yielded a good statistical prediction performance in terms of correlation coefficient, mean relative error, root mean square error and absolute fraction of variance, the accuracies of ANFIS predictions were usually slightly better than those of ANN predictions. This study reveals that, having an extended prediction capability compared to ANN, the ANFIS technique can also be used for predicting the performance of evaporative condensers. (author)

  2. A Nuclear Ribosomal DNA Phylogeny of Acer Inferred with Maximum Likelihood, Splits Graphs, and Motif Analysis of 606 Sequences

    Directory of Open Access Journals (Sweden)

    Guido W. Grimm

    2006-01-01

    Full Text Available The multi-copy internal transcribed spacer (ITS region of nuclear ribosomal DNA is widely used to infer phylogenetic relationships among closely related taxa. Here we use maximum likelihood (ML and splits graph analyses to extract phylogenetic information from ~ 600 mostly cloned ITS sequences, representing 81 species and subspecies of Acer, and both species of its sister Dipteronia. Additional analyses compared sequence motifs in Acer and several hundred Anacardiaceae, Burseraceae, Meliaceae, Rutaceae, and Sapindaceae ITS sequences in GenBank. We also assessed the effects of using smaller data sets of consensus sequences with ambiguity coding (accounting for within-species variation instead of the full (partly redundant original sequences. Neighbor-nets and bipartition networks were used to visualize conflict among character state patterns. Species clusters observed in the trees and networks largely agree with morphology-based classifications; of de Jong’s (1994 16 sections, nine are supported in neighbor-net and bipartition networks, and ten by sequence motifs and the ML tree; of his 19 series, 14 are supported in networks, motifs, and the ML tree. Most nodes had higher bootstrap support with matrices of 105 or 40 consensus sequences than with the original matrix. Within-taxon ITS divergence did not differ between diploid and polyploid Acer, and there was little evidence of differentiated parental ITS haplotypes, suggesting that concerted evolution in Acer acts rapidly.

  3. Survey design, statistical analysis, and basis for statistical inferences in coastal habitat injury assessment: Exxon Valdez oil spill

    International Nuclear Information System (INIS)

    The objective of the Coastal Habitat Injury Assessment study was to document and quantify injury to biota of the shallow subtidal, intertidal, and supratidal zones throughout the shoreline affected by oil or cleanup activity associated with the Exxon Valdez oil spill. The results of these studies were to be used to support the Trustee's Type B Natural Resource Damage Assessment under the Comprehensive Environmental Response, Compensation, and Liability Act of 1980 (CERCLA). A probability based stratified random sample of shoreline segments was selected with probability proportional to size from each of 15 strata (5 habitat types crossed with 3 levels of potential oil impact) based on those data available in July, 1989. Three study regions were used: Prince William Sound, Cook Inlet/Kenai Peninsula, and Kodiak/Alaska Peninsula. A Geographic Information System was utilized to combine oiling and habitat data and to select the probability sample of study sites. Quasi-experiments were conducted where randomly selected oiled sites were compared to matched reference sites. Two levels of statistical inferences, philosophical bases, and limitations are discussed and illustrated with example data from the resulting studies. 25 refs., 4 figs., 1 tab

  4. The Role of Remittances in Migration Decision: Evidence from Turkish Migration

    OpenAIRE

    Akkoyunlu, Sule; Siliverstovs, Boriss

    2007-01-01

    In this study we analyse the impact of workers' remittances on the decision to migrate by means of cointegration analysis. In traditional migration theories, especially in human capital models, the decision to migrate is based upon comparison of expected future incomes in the sending and the receiving countries adjusted for the cost of migration. By contrast, the new economics of labour migration suggests that the migration decision is made jointly by the migrant and his family. One important...

  5. Analysis of radionuclide migration through fractures using the stream tube approach

    International Nuclear Information System (INIS)

    An analytical solution for the radionuclide migration in the heterogeneous geologic media is developed by using the Green's function techniques. To take into account the non-homogeneous geologic formation and non-uniform groundwater flow field effectively, a combined fracture/porous media model (in series network) is introduced. The stream tube approach is suggested as an efficient method to analyze groundwater hydrology occurring primarily along the fractures. With this approach, three-dimensional heterogeneous media may be approximated as a network of one-dimensional flow paths (fractures) and the corresponding subsurface transport equations can be solved more easily and efficiently by using the Green's function technique within each unit stream tubes. Also a method of combining the corresponding separate Green's functions to derive an overall Green's function for the flow path network is developed. Analytical solutions with various time-dependent radionuclide release modes for heterogeneous geologic media are obtained and sample calculations are performed for the parametric studies. Comparison with other model shows the validity of the present model. 22 refs.; 11 figs.; 5 tabs

  6. Migration distance-based platelet function analysis in a microfluidic system.

    Science.gov (United States)

    Song, Suk-Heung; Lim, Chae-Seung; Shin, Sehyun

    2013-01-01

    Aggregation and adhesion of platelets to the vascular wall are shear-dependent processes that play critical roles in hemostasis and thrombosis at vascular injury sites. In this study, we designed a simple and rapid assay of platelet aggregation and adhesion in a microfluidic system. A shearing mechanism using a rotating stirrer provided adjustable shear rate and shearing time and induced platelet activation. When sheared blood was driven through the microchannel under vacuum pressure, shear-activated platelets adhered to a collagen-coated surface, causing blood flow to significantly slow and eventually stop. To measure platelet adhesion and aggregation, the migration distance (MD) of blood through the microchannel was monitored. As the microstirrer speed increased, MD initially decreased exponentially but then increased beyond a critical rpm. For platelet-excluded blood samples, there were no changes in MD with increasing stirrer speed. These findings imply that the stirrer provided sufficiently high shear to activate platelets and that blood MD is a potentially valuable index for measuring the shear-dependence of platelet activation. Our microfluidic system is quick and simple, while providing a precise assay to measure the effects of shear on platelet aggregation and adhesion. PMID:24396535

  7. Barriers to accessing substance abuse treatment in Mexico: national comparative analysis by migration status

    Science.gov (United States)

    2014-01-01

    Background We examined Mexican migrants’ perceived barriers to entering substance abuse treatment and potential differences by gender. Methods This study analyzed a subset of household data collected in Mexico in 2011 via the Encuesta Nacional de Adicciones (National Survey of Addictions). A sample of 1,143 individuals who reported using illicit drugs was analyzed using multivariate negative binomial models to determine direct and moderated relationships of gender, migrant status, and drug dependence with perceived barriers to accessing treatment. Results Significant findings included disparities in drug dependence by migrant status. Compared with non-migrant men, women who have traveled to the United States was associated with fewer (1.3) barriers to access treatment. Fewer barriers to access care were associated with individuals residing in other regions of the country, compared to those living in Mexico City. Conclusions Drug dependence, gender, migration status and regional location are factors associated with access to needed treatment. Implications for health care policy to develop treatment services infrastructure and for future research are discussed in the context of ongoing drug policy reform in Mexico. PMID:25074067

  8. Migration velocity analysis using a transversely isotropic medium with tilt normal to the reflector dip

    KAUST Repository

    Alkhalifah, T.

    2010-06-13

    A transversely isotropic model in which the tilt is constrained to be normal to the dip (DTI model) allows for simplifications in the imaging and velocity model building efforts as compared to a general TTI model. Though this model, in some cases, can not be represented physically like in the case of conflicting dips, it handles all dips with the assumption of symmetry axis normal to the dip. It provides a process in which areas that meet this feature is handled properly. We use efficient downward continuation algorithms that utilizes the reflection features of such a model. For lateral inhomogeneity, phase shift migration can be easily extended to approximately handle lateral inhomogeneity, because unlike the general TTI case the DTI model reduces to VTI for zero dip. We also equip these continuation algorithms with tools that expose inaccuracies in the velocity. We test this model on synthetic data of general TTI nature and show its resilience even couping with complex models like the recently released anisotropic BP model.

  9. Statistical inference on residual life

    CERN Document Server

    Jeong, Jong-Hyeon

    2014-01-01

    This is a monograph on the concept of residual life, which is an alternative summary measure of time-to-event data, or survival data. The mean residual life has been used for many years under the name of life expectancy, so it is a natural concept for summarizing survival or reliability data. It is also more interpretable than the popular hazard function, especially for communications between patients and physicians regarding the efficacy of a new drug in the medical field. This book reviews existing statistical methods to infer the residual life distribution. The review and comparison includes existing inference methods for mean and median, or quantile, residual life analysis through medical data examples. The concept of the residual life is also extended to competing risks analysis. The targeted audience includes biostatisticians, graduate students, and PhD (bio)statisticians. Knowledge in survival analysis at an introductory graduate level is advisable prior to reading this book.

  10. Origin and diversification of major clades in parmelioid lichens (Parmeliaceae, Ascomycota) during the Paleogene inferred by Bayesian analysis.

    Science.gov (United States)

    Amo de Paz, Guillermo; Cubas, Paloma; Divakar, Pradeep K; Lumbsch, H Thorsten; Crespo, Ana

    2011-01-01

    There is a long-standing debate on the extent of vicariance and long-distance dispersal events to explain the current distribution of organisms, especially in those with small diaspores potentially prone to long-distance dispersal. Age estimates of clades play a crucial role in evaluating the impact of these processes. The aim of this study is to understand the evolutionary history of the largest clade of macrolichens, the parmelioid lichens (Parmeliaceae, Lecanoromycetes, Ascomycota) by dating the origin of the group and its major lineages. They have a worldwide distribution with centers of distribution in the Neo- and Paleotropics, and semi-arid subtropical regions of the Southern Hemisphere. Phylogenetic analyses were performed using DNA sequences of nuLSU and mtSSU rDNA, and the protein-coding RPB1 gene. The three DNA regions had different evolutionary rates: RPB1 gave a rate two to four times higher than nuLSU and mtSSU. Divergence times of the major clades were estimated with partitioned BEAST analyses allowing different rates for each DNA region and using a relaxed clock model. Three calibrations points were used to date the tree: an inferred age at the stem of Lecanoromycetes, and two dated fossils: Parmelia in the parmelioid group, and Alectoria. Palaeoclimatic conditions and the palaeogeological area cladogram were compared to the dated phylogeny of parmelioid. The parmelioid group diversified around the K/T boundary, and the major clades diverged during the Eocene and Oligocene. The radiation of the genera occurred through globally changing climatic condition of the early Oligocene, Miocene and early Pliocene. The estimated divergence times are consistent with long-distance dispersal events being the major factor to explain the biogeographical distribution patterns of Southern Hemisphere parmelioids, especially for Africa-Australia disjunctions, because the sequential break-up of Gondwana started much earlier than the origin of these clades. However, our

  11. A comparative analysis of clustering algorithms: O2 migration in truncated hemoglobin I from transition networks

    Science.gov (United States)

    Cazade, Pierre-André; Zheng, Wenwei; Prada-Gracia, Diego; Berezovska, Ganna; Rao, Francesco; Clementi, Cecilia; Meuwly, Markus

    2015-01-01

    The ligand migration network for O2-diffusion in truncated Hemoglobin N is analyzed based on three different clustering schemes. For coordinate-based clustering, the conventional k-means and the kinetics-based Markov Clustering (MCL) methods are employed, whereas the locally scaled diffusion map (LSDMap) method is a collective-variable-based approach. It is found that all three methods agree well in their geometrical definition of the most important docking site, and all experimentally known docking sites are recovered by all three methods. Also, for most of the states, their population coincides quite favourably, whereas the kinetics of and between the states differs. One of the major differences between k-means and MCL clustering on the one hand and LSDMap on the other is that the latter finds one large primary cluster containing the Xe1a, IS1, and ENT states. This is related to the fact that the motion within the state occurs on similar time scales, whereas structurally the state is found to be quite diverse. In agreement with previous explicit atomistic simulations, the Xe3 pocket is found to be a highly dynamical site which points to its potential role as a hub in the network. This is also highlighted in the fact that LSDMap cannot identify this state. First passage time distributions from MCL clusterings using a one- (ligand-position) and two-dimensional (ligand-position and protein-structure) descriptor suggest that ligand- and protein-motions are coupled. The benefits and drawbacks of the three methods are discussed in a comparative fashion and highlight that depending on the questions at hand the best-performing method for a particular data set may differ.

  12. A comparative analysis of clustering algorithms: O2 migration in truncated hemoglobin I from transition networks

    International Nuclear Information System (INIS)

    The ligand migration network for O2–diffusion in truncated Hemoglobin N is analyzed based on three different clustering schemes. For coordinate-based clustering, the conventional k–means and the kinetics-based Markov Clustering (MCL) methods are employed, whereas the locally scaled diffusion map (LSDMap) method is a collective-variable-based approach. It is found that all three methods agree well in their geometrical definition of the most important docking site, and all experimentally known docking sites are recovered by all three methods. Also, for most of the states, their population coincides quite favourably, whereas the kinetics of and between the states differs. One of the major differences between k–means and MCL clustering on the one hand and LSDMap on the other is that the latter finds one large primary cluster containing the Xe1a, IS1, and ENT states. This is related to the fact that the motion within the state occurs on similar time scales, whereas structurally the state is found to be quite diverse. In agreement with previous explicit atomistic simulations, the Xe3 pocket is found to be a highly dynamical site which points to its potential role as a hub in the network. This is also highlighted in the fact that LSDMap cannot identify this state. First passage time distributions from MCL clusterings using a one- (ligand-position) and two-dimensional (ligand-position and protein-structure) descriptor suggest that ligand- and protein-motions are coupled. The benefits and drawbacks of the three methods are discussed in a comparative fashion and highlight that depending on the questions at hand the best-performing method for a particular data set may differ

  13. An analysis of the conditions of gas migration from a low-level radioactive waste repository

    International Nuclear Information System (INIS)

    The present report deals with the conditions under which gas will migrate from a radioactive low-level waste repository located in a hard rock formation below the sea bottom. Chemical reactions resulting in gas (hydrogen) production will take place in the stored waste. Unless the gas produced can escape from the rock cavern an over-pressure that may bring about contamination of the groundwater regime may arize in the cavern. The purpose of the present study is to provide a rough estimate of the capability of the rock formation in consideration to convey the gas produced in the repository to the surface. The gas produced in the water filled repository will be subject to very fast gravitational segregation, and as a result a gas cushion will be created at the roof of the cavern. Three particular stages may be distinguished in the present flow problem, these are (i) the accumulation of the gas at the roof of the cavern, (ii) the escape of the gas into the fractures, once the critical thickness of the gas cushion has been reached, and (iii) the flow of gas, once the water in the fractures has been displaced. A first part of the study is devoted to analysing the transport properties of a single fracture. The governing flow equations and expressions for the flowrates of the gas and break-through times of the gas front to reach the upper boundary (sea bottom) of the rock formation are derived. The physical properties of a single fracture are used for the modelling of the fractured rock mass in consideration. A second part of the study is devoted to a number of numerical examples worked out to study the conditions of the gas flow for the projected low-level radioactive waste repository. The following parameters are studied: (i) the critical thickness of the gas cushion, (ii) break-through times of the gas, and (iii) flowrates of the gas. (Authors)

  14. Inference in `poor` languages

    Energy Technology Data Exchange (ETDEWEB)

    Petrov, S.

    1996-10-01

    Languages with a solvable implication problem but without complete and consistent systems of inference rules (`poor` languages) are considered. The problem of existence of finite complete and consistent inference rule system for a ``poor`` language is stated independently of the language or rules syntax. Several properties of the problem arc proved. An application of results to the language of join dependencies is given.

  15. MIGRATION IN SIKKIM: FACTS OR FRICTIONS

    OpenAIRE

    Gyaltsen Tsh. Bhutia; Srivastava, R.K.

    2014-01-01

    Today's migrations become one of the important issues in the globe. The increasing influx of migration and the illegal migration has become a great challenge to the policy maker for both the sending and destination economy. The impact of migration on both the economy has genuine issue to be discusses, analysis and closely study. Therefore, this study reveal to quantify the migration population in Sikkim, to assess the impact on the socio-economy fabrics and to suggest the reme...

  16. Diversifying Selection Between Pure-Breed and Free-Breeding Dogs Inferred from Genome-Wide SNP Analysis.

    Science.gov (United States)

    Pilot, Małgorzata; Malewski, Tadeusz; Moura, Andre E; Grzybowski, Tomasz; Oleński, Kamil; Kamiński, Stanisław; Fadel, Fernanda Ruiz; Alagaili, Abdulaziz N; Mohammed, Osama B; Bogdanowicz, Wiesław

    2016-01-01

    Domesticated species are often composed of distinct populations differing in the character and strength of artificial and natural selection pressures, providing a valuable model to study adaptation. In contrast to pure-breed dogs that constitute artificially maintained inbred lines, free-ranging dogs are typically free-breeding, i.e., unrestrained in mate choice. Many traits in free-breeding dogs (FBDs) may be under similar natural and sexual selection conditions to wild canids, while relaxation of sexual selection is expected in pure-breed dogs. We used a Bayesian approach with strict false-positive control criteria to identify FST-outlier SNPs between FBDs and either European or East Asian breeds, based on 167,989 autosomal SNPs. By identifying outlier SNPs located within coding genes, we found four candidate genes under diversifying selection shared by these two comparisons. Three of them are associated with the Hedgehog (HH) signaling pathway regulating vertebrate morphogenesis. A comparison between FBDs and East Asian breeds also revealed diversifying selection on the BBS6 gene, which was earlier shown to cause snout shortening and dental crowding via disrupted HH signaling. Our results suggest that relaxation of natural and sexual selection in pure-breed dogs as opposed to FBDs could have led to mild changes in regulation of the HH signaling pathway. HH inhibits adhesion and the migration of neural crest cells from the neural tube, and minor deficits of these cells during embryonic development have been proposed as the underlying cause of "domestication syndrome." This suggests that the process of breed formation involved the same genetic and developmental pathways as the process of domestication. PMID:27233669

  17. The Determinants of Actual Migration and the Role of Wages and Unemployment in Albania: an Empirical Analysis

    Directory of Open Access Journals (Sweden)

    Cristina Cattaneo

    2008-06-01

    Full Text Available The paper explores the determinants of internal migration in Albania, adopting the Harris-Todaro approach to migration: an internal migration function is estimated using district wage and unemployment rate differentials. The aggregate level wages and unemployment, included in the migration equation, are retrieved from a first stage wage and unemployment equations, estimated controlling for personal characteristics. Moreover, in order to test the predictions of the human capital model of migration, the difference between migrants and non-migrants is emphasized in the estimation. The data source is the "Living Standard Measurement Survey for Albania" (2002, undertaken by the national Institute of Statistics and the World Bank jointly. The results reveal that both wage and unemployment differentials are important determinants of the propensity to migrate in Albania. This conclusion is further emphasized by noting that migrants gain substantially in terms of higher returns to individual characteristics after emigration.

  18. Adaptive network-based fuzzy inference system analysis of mixed convection in a two-sided lid-driven cavity filled with a nano-fluid

    Energy Technology Data Exchange (ETDEWEB)

    Aminossadati, S.M. [School of Mechanical and Mining Engineering, The University of Queensland, QLD 4072 (Australia); Kargar, A.; Ghasemi, B. [Engineering Faculty, Shahrekord University, Shahrekord, P.O. Box 115 (Iran, Islamic Republic of)

    2012-03-15

    A numerical study of laminar mixed convection in a two-sided lid-driven cavity filled with a water-Al{sub 2}O{sub 3} nano-fluid is presented. The top and bottom walls of the cavity are kept at different temperatures and can slide in the same or opposite direction. The vertical walls are thermally insulated. An Adaptive Network-based Fuzzy Inference System (ANFIS) approach is developed, trained and validated using the results of a Computational Fluid Dynamics (CFD) analysis. The results show that ANFIS can successfully be used to predict the fluid velocity and temperature as well as the heat transfer rate of the cavity, with reduced computation time and without compromising the accuracy. (authors)

  19. Daily newspaper reporting on elderly care in Sweden and Finland: a quantitative content analysis of ethnicity- and migration-related issues

    Directory of Open Access Journals (Sweden)

    Sandra Torres

    2014-11-01

    Full Text Available Media representations are important sources of information especially about contexts that people have limited access to (such as the one we address here, that is, elderly care. Representations of this also give us an insight into how ethnicity-, culture-, and migration-related issues are regarded. This article aims to shed light on media representations related to the nexus of elderly care, ethnicity, and migration in Sweden and Finland, given that the two countries have similar elderly care regimes but different migration regimes. The study uses quantitative content analysis to analyze all of the daily newspaper articles on elderly care that have touched upon these issues and have been published in one major newspaper in each country between 1995 and 2011 (N=347. In this article, we present the topics that these newspaper articles discuss; the elderly care actors that the articles focus on (i.e. whether the focus has been on elderly care recipients, elderly care providers or informal caregivers; the ethnic backgrounds of those who expressed themselves in the articles (i.e. whether the focus has been on the ethnic majority or on ethnic minorities; and the type of explanatory frameworks used in the daily press reporting in question. The article problematizes the media representations of ethnicity- and migration-related issues within the Swedish and Finnish elderly care sectors that the analysis has unveiled in relation to the debate on the challenges that the globalization of international migration poses to the elderly care sector.

  20. The migration-security nexus in domains of insecurity:a qualitative content analysis of two recent EU-policies

    OpenAIRE

    Oberngruber, B. (Bernhard)

    2016-01-01

    Since the dissolution of the Soviet Union in 1991, issues in migration gradually gained importance and are now firmly on top of European policy makers’ agenda. Against the backdrop of an increasing public and political awareness of the matters related to migration, new problem-solving approaches emerged. The proposal of securitizing issues in migration is among the most prominent approaches. This would allow to break free from procedures and rules by placing the matter beyond the rule of the ...

  1. Origin and diversification of major clades in parmelioid lichens (Parmeliaceae, Ascomycota during the Paleogene inferred by Bayesian analysis.

    Directory of Open Access Journals (Sweden)

    Guillermo Amo de Paz

    Full Text Available There is a long-standing debate on the extent of vicariance and long-distance dispersal events to explain the current distribution of organisms, especially in those with small diaspores potentially prone to long-distance dispersal. Age estimates of clades play a crucial role in evaluating the impact of these processes. The aim of this study is to understand the evolutionary history of the largest clade of macrolichens, the parmelioid lichens (Parmeliaceae, Lecanoromycetes, Ascomycota by dating the origin of the group and its major lineages. They have a worldwide distribution with centers of distribution in the Neo- and Paleotropics, and semi-arid subtropical regions of the Southern Hemisphere. Phylogenetic analyses were performed using DNA sequences of nuLSU and mtSSU rDNA, and the protein-coding RPB1 gene. The three DNA regions had different evolutionary rates: RPB1 gave a rate two to four times higher than nuLSU and mtSSU. Divergence times of the major clades were estimated with partitioned BEAST analyses allowing different rates for each DNA region and using a relaxed clock model. Three calibrations points were used to date the tree: an inferred age at the stem of Lecanoromycetes, and two dated fossils: Parmelia in the parmelioid group, and Alectoria. Palaeoclimatic conditions and the palaeogeological area cladogram were compared to the dated phylogeny of parmelioid. The parmelioid group diversified around the K/T boundary, and the major clades diverged during the Eocene and Oligocene. The radiation of the genera occurred through globally changing climatic condition of the early Oligocene, Miocene and early Pliocene. The estimated divergence times are consistent with long-distance dispersal events being the major factor to explain the biogeographical distribution patterns of Southern Hemisphere parmelioids, especially for Africa-Australia disjunctions, because the sequential break-up of Gondwana started much earlier than the origin of these

  2. Using stable isotope analysis to understand the migration and trophic ecology of northeastern Pacific white sharks (Carcharodon carcharias).

    Science.gov (United States)

    Carlisle, Aaron B; Kim, Sora L; Semmens, Brice X; Madigan, Daniel J; Jorgensen, Salvador J; Perle, Christopher R; Anderson, Scot D; Chapple, Taylor K; Kanive, Paul E; Block, Barbara A

    2012-01-01

    The white shark (Carcharodon carcharias) is a wide-ranging apex predator in the northeastern Pacific (NEP). Electronic tagging has demonstrated that white sharks exhibit a regular migratory pattern, occurring at coastal sites during the late summer, autumn and early winter and moving offshore to oceanic habitats during the remainder of the year, although the purpose of these migrations remains unclear. The purpose of this study was to use stable isotope analysis (SIA) to provide insight into the trophic ecology and migratory behaviors of white sharks in the NEP. Between 2006 and 2009, 53 white sharks were biopsied in central California to obtain dermal and muscle tissues, which were analyzed for stable isotope values of carbon (δ(13)C) and nitrogen (δ(15)N). We developed a mixing model that directly incorporates movement data and tissue incorporation (turnover) rates to better estimate the relative importance of different focal areas to white shark diet and elucidate their migratory behavior. Mixing model results for muscle showed a relatively equal dietary contribution from coastal and offshore regions, indicating that white sharks forage in both areas. However, model results indicated that sharks foraged at a higher relative rate in coastal habitats. There was a negative relationship between shark length and muscle δ(13)C and δ(15)N values, which may indicate ontogenetic changes in habitat use related to onset of maturity. The isotopic composition of dermal tissue was consistent with a more rapid incorporation rate than muscle and may represent more recent foraging. Low offshore consumption rates suggest that it is unlikely that foraging is the primary purpose of the offshore migrations. These results demonstrate how SIA can provide insight into the trophic ecology and migratory behavior of marine predators, especially when coupled with electronic tagging data. PMID:22355313

  3. Using stable isotope analysis to understand the migration and trophic ecology of northeastern Pacific white sharks (Carcharodon carcharias.

    Directory of Open Access Journals (Sweden)

    Aaron B Carlisle

    Full Text Available The white shark (Carcharodon carcharias is a wide-ranging apex predator in the northeastern Pacific (NEP. Electronic tagging has demonstrated that white sharks exhibit a regular migratory pattern, occurring at coastal sites during the late summer, autumn and early winter and moving offshore to oceanic habitats during the remainder of the year, although the purpose of these migrations remains unclear. The purpose of this study was to use stable isotope analysis (SIA to provide insight into the trophic ecology and migratory behaviors of white sharks in the NEP. Between 2006 and 2009, 53 white sharks were biopsied in central California to obtain dermal and muscle tissues, which were analyzed for stable isotope values of carbon (δ(13C and nitrogen (δ(15N. We developed a mixing model that directly incorporates movement data and tissue incorporation (turnover rates to better estimate the relative importance of different focal areas to white shark diet and elucidate their migratory behavior. Mixing model results for muscle showed a relatively equal dietary contribution from coastal and offshore regions, indicating that white sharks forage in both areas. However, model results indicated that sharks foraged at a higher relative rate in coastal habitats. There was a negative relationship between shark length and muscle δ(13C and δ(15N values, which may indicate ontogenetic changes in habitat use related to onset of maturity. The isotopic composition of dermal tissue was consistent with a more rapid incorporation rate than muscle and may represent more recent foraging. Low offshore consumption rates suggest that it is unlikely that foraging is the primary purpose of the offshore migrations. These results demonstrate how SIA can provide insight into the trophic ecology and migratory behavior of marine predators, especially when coupled with electronic tagging data.

  4. Branch migration displacement assay with automated heuristic analysis for discrete DNA length measurement using DNA microarrays

    OpenAIRE

    Pourmand, Nader; Caramuta, Stefano; Villablanca, Andrea; Mori, Silvia; Karhanek, Miloslav; Wang, Shan X.; Ronald W Davis

    2007-01-01

    The analysis of short tandem repeats (STRs) plays an important role in forensic science, human identification, genetic mapping, and disease diagnostics. Traditional STR analysis utilizes gel- or column-based approaches to analyze DNA repeats. Individual STR alleles are separated and distinguished according to fragment length; thus the assay is generally hampered by its low multiplex capacity. However, use of DNA microarray would employ a simple hybridization and detection for field forensics ...

  5. Applied statistical inference with MINITAB

    CERN Document Server

    Lesik, Sally

    2009-01-01

    Through clear, step-by-step mathematical calculations, Applied Statistical Inference with MINITAB enables students to gain a solid understanding of how to apply statistical techniques using a statistical software program. It focuses on the concepts of confidence intervals, hypothesis testing, validating model assumptions, and power analysis.Illustrates the techniques and methods using MINITABAfter introducing some common terminology, the author explains how to create simple graphs using MINITAB and how to calculate descriptive statistics using both traditional hand computations and MINITAB. Sh

  6. Hierarchical Cosmic Shear Power Spectrum Inference

    CERN Document Server

    Alsing, Justin; Jaffe, Andrew H; Kiessling, Alina; Wandelt, Benjamin; Hoffmann, Till

    2016-01-01

    We develop a Bayesian hierarchical modelling approach for cosmic shear power spectrum inference, jointly sampling from the posterior distribution of the cosmic shear field and its (tomographic) power spectra. Inference of the shear power spectrum is a powerful intermediate product for a cosmic shear analysis, since it requires very few model assumptions and can be used to perform inference on a wide range of cosmological models \\emph{a posteriori} without loss of information. We show that joint posterior for the shear map and power spectrum can be sampled effectively by Gibbs sampling, iteratively drawing samples from the map and power spectrum, each conditional on the other. This approach neatly circumvents difficulties associated with complicated survey geometry and masks that plague frequentist power spectrum estimators, since the power spectrum inference provides prior information about the field in masked regions at every sampling step. We demonstrate this approach for inference of tomographic shear $E$-...

  7. Material migration patterns and overview of first surface analysis of the JET ITER-like wall

    International Nuclear Information System (INIS)

    Following the first JET ITER-like wall operations a detailed in situ photographic survey of the main chamber and divertor was completed. In addition, a selection of tiles and passive diagnostics were removed from the vessel and made available for post mortem analysis. From the photographic survey and results from initial analysis, the first conclusions regarding erosion, deposition, fuel retention and material transport during divertor and limiter phases have been drawn. The rate of deposition on inner and outer base divertor tiles and remote divertor corners was more than an order of magnitude less than during the preceding carbon wall operations, as was the concomitant deuterium retention. There was however beryllium deposition at the top of the inner divertor. The net beryllium erosion rate from the mid-plane inner limiters was found to be higher than for the previous carbon wall campaign although further analysis is required to determine the overall material balance due to erosion and re-deposition. (paper)

  8. Knowledge and inference

    CERN Document Server

    Nagao, Makoto

    1990-01-01

    Knowledge and Inference discusses an important problem for software systems: How do we treat knowledge and ideas on a computer and how do we use inference to solve problems on a computer? The book talks about the problems of knowledge and inference for the purpose of merging artificial intelligence and library science. The book begins by clarifying the concept of """"knowledge"""" from many points of view, followed by a chapter on the current state of library science and the place of artificial intelligence in library science. Subsequent chapters cover central topics in the artificial intellig

  9. Gas migration through argillaceous sediments: soil gas analysis as an investigation tool

    International Nuclear Information System (INIS)

    Soil gas analysis is based on the measurement of gases, originating in deep crustal layers, in the soil pores. Since gases flow preferentially in channels of enhanced permeability, such as fractures and faults, the technique can provide valuable information for possible application in different fields. Review of recent activities in different areas underlain by argillaceous sediments shows that soil gas analysis may contribute to the characterization of candidate sites for the isolation of hazardous substances, including radioactive waste. 18 refs., 10 figs., 1 tab

  10. Monarch Migration.

    Science.gov (United States)

    Williamson, Brad; Taylor, Orley

    1996-01-01

    Describes the Monarch Watch program that tracks the migration of the monarch butterfly. Presents activities that introduce students to research and international collaboration between students and researchers. Familiarizes students with monarchs, stimulates their interest, and helps them generate questions that can lead to good research projects.…

  11. SPATIAL AND STATISTICAL ANALYSIS OF INTERPROVINCIAL MIGRATION IN TURKEY IN THE BEGINNING OF THE 21st CENTURY

    Directory of Open Access Journals (Sweden)

    Mustafa Yakar

    2013-12-01

    Full Text Available Significant changes have taken place in the demographics of Turkey in the remaining timeframe of the 21st century in addition to the changes incurring in other areas. The aim of this study was to analyze the statistical and spatial distribution of migrations inter provincial in Turkey between the years 2007-2012. The results of the analyses were compared with the results for previous periods and the similarities and differences in terms of interprovincial migrations were determined. During the last five years of the 21st century 2.3 million people have migrated from one province to another per year to total over 11.6 million people (15,3% of the total population. These figures show that more than twice the number of people compared to previous years migrated to another province. Although the percentage of the migrating population has increased, only 1/3 of the provinces in Turkey have been at the receiving end of this migration. The spatial analyses have determined that the difference between the eastern and western parts of Turkey in terms of internal migration continues. In other words, it has been determined that no significant changes in the net migration map of Turkey have incurred.

  12. Source inference of exogenous gamma-hydroxybutyric acid (GHB) administered to humans by means of carbon isotopic ratio analysis: novel perspectives regarding forensic investigation and intelligence issues.

    Science.gov (United States)

    Marclay, François; Saudan, Christophe; Vienne, Julie; Tafti, Mehdi; Saugy, Martial

    2011-05-01

    γ-Hydroxybutyric acid (GHB) is an endogenous short-chain fatty acid popular as a recreational drug due to sedative and euphoric effects, but also often implicated in drug-facilitated sexual assaults owing to disinhibition and amnesic properties. Whilst discrimination between endogenous and exogenous GHB as required in intoxication cases may be achieved by the determination of the carbon isotope content, such information has not yet been exploited to answer source inference questions of forensic investigation and intelligence interests. However, potential isotopic fractionation effects occurring through the whole metabolism of GHB may be a major concern in this regard. Thus, urine specimens from six healthy male volunteers who ingested prescription GHB sodium salt, marketed as Xyrem(®), were analysed by means of gas chromatography/combustion/isotope ratio mass spectrometry to assess this particular topic. A very narrow range of δ(13)C values, spreading from -24.81‰ to -25.06‰, was observed, whilst mean δ(13)C value of Xyrem(®) corresponded to -24.99‰. Since urine samples and prescription drug could not be distinguished by means of statistical analysis, carbon isotopic effects and subsequent influence on δ(13)C values through GHB metabolism as a whole could be ruled out. Thus, a link between GHB as a raw matrix and found in a biological fluid may be established, bringing relevant information regarding source inference evaluation. Therefore, this study supports a diversified scope of exploitation for stable isotopes characterized in biological matrices from investigations on intoxication cases to drug intelligence programmes. PMID:21455654

  13. Inferring Hydraulic and Fracture Properties of a Fracked Coal Seam Aquifer by Using GLUE Uncertainty Analysis using TOUGH2 reservoir simulator

    Science.gov (United States)

    Willgoose, G. R.; Askarimarnani, S. S.

    2014-12-01

    Coal seam gas (also called coal bed methane) is a form of natural gas that occurs in some coal seams. In the coal seam gas industry, hydraulic fracturing is performed to enhance the extraction of the gas from the coal seam. This paper presents flow simulation results for a fractured coal seam and its associate production well, and an investigation of the well piezometric head drawdown curves resulting from hydraulic pumping tests. The aim is to infer the hydraulic and fracture properties of the coal and associated well, such as length, width, conductivity of fractures, and the proportion of the water and gas contained in the coal seam. For this purpose the TOUGH2/EOS7C numerical simulator is applied. It is capable of modelling multiphase flow in fractured and porous system. The EOS7C is an "equation of state" module for TOUGH2 that is used to model the methane dissolved and free gas multiphase component. The Wingridder grid generator has been used to generate the 2D, 3D and MINCE (multiple interacting continua) grids for TOUGH2. The simulation results provide some constraints on hydraulic and fracture properties. However, there is still have significant uncertainty. In order to assess the uncertainty and increase our knowledge of the hydraulic properties, uncertainty analysis using the Generalized Likelihood Uncertainty Estimation (GLUE), which is a Monte-Carlo methodology, is applied. We will discuss how the Monte-Carlo uncertainty analyses is used to infer the properties of a hydraulically fractured well from pump test data. One major outcome of this work will be the development of a fast and routine method for assessing the post-development performance and safety of a production gas well, and to provide reassurance that the fracking that has actually occurred in the field is within design parameters.

  14. Using a Simple Binomial Model to Assess Improvement in Predictive Capability: Sequential Bayesian Inference, Hypothesis Testing, and Power Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Sigeti, David E. [Los Alamos National Laboratory; Pelak, Robert A. [Los Alamos National Laboratory

    2012-09-11

    We present a Bayesian statistical methodology for identifying improvement in predictive simulations, including an analysis of the number of (presumably expensive) simulations that will need to be made in order to establish with a given level of confidence that an improvement has been observed. Our analysis assumes the ability to predict (or postdict) the same experiments with legacy and new simulation codes and uses a simple binomial model for the probability, {theta}, that, in an experiment chosen at random, the new code will provide a better prediction than the old. This model makes it possible to do statistical analysis with an absolute minimum of assumptions about the statistics of the quantities involved, at the price of discarding some potentially important information in the data. In particular, the analysis depends only on whether or not the new code predicts better than the old in any given experiment, and not on the magnitude of the improvement. We show how the posterior distribution for {theta} may be used, in a kind of Bayesian hypothesis testing, both to decide if an improvement has been observed and to quantify our confidence in that decision. We quantify the predictive probability that should be assigned, prior to taking any data, to the possibility of achieving a given level of confidence, as a function of sample size. We show how this predictive probability depends on the true value of {theta} and, in particular, how there will always be a region around {theta} = 1/2 where it is highly improbable that we will be able to identify an improvement in predictive capability, although the width of this region will shrink to zero as the sample size goes to infinity. We show how the posterior standard deviation may be used, as a kind of 'plan B metric' in the case that the analysis shows that {theta} is close to 1/2 and argue that such a plan B should generally be part of hypothesis testing. All the analysis presented in the paper is done with a

  15. Inferring Instantaneous, Multivariate and Nonlinear Sensitivities for the Analysis of Feedback Processes in a Dynamical System: Lorenz Model Case Study

    Science.gov (United States)

    Aires, Filipe; Rossow, William B.; Hansen, James E. (Technical Monitor)

    2001-01-01

    A new approach is presented for the analysis of feedback processes in a nonlinear dynamical system by observing its variations. The new methodology consists of statistical estimates of the sensitivities between all pairs of variables in the system based on a neural network modeling of the dynamical system. The model can then be used to estimate the instantaneous, multivariate and nonlinear sensitivities, which are shown to be essential for the analysis of the feedbacks processes involved in the dynamical system. The method is described and tested on synthetic data from the low-order Lorenz circulation model where the correct sensitivities can be evaluated analytically.

  16. Inference of tumor evolution during chemotherapy by computational modeling and in situ analysis of genetic and phenotypic cellular diversity

    NARCIS (Netherlands)

    Almendro, Vanessa; Cheng, Yu-Kang; Randles, Amanda; Itzkovitz, Shalev; Marusyk, Andriy; Ametller, Elisabet; Gonzalez-Farre, Xavier; Muñoz, Montse; Russnes, Hege G; Helland, Aslaug; Rye, Inga H; Borresen-Dale, Anne-Lise; Maruyama, Reo; van Oudenaarden, Alexander; Dowsett, Mitchell; Jones, Robin L; Reis-Filho, Jorge; Gascon, Pere; Gönen, Mithat; Michor, Franziska; Polyak, Kornelia

    2014-01-01

    Cancer therapy exerts a strong selection pressure that shapes tumor evolution, yet our knowledge of how tumors change during treatment is limited. Here, we report the analysis of cellular heterogeneity for genetic and phenotypic features and their spatial distribution in breast tumors pre- and post-

  17. Temporal profiling of cytokine-induced genes in pancreatic β-cells by meta-analysis and network inference

    DEFF Research Database (Denmark)

    Lopes, Miguel; Kutlu, Burak; Miani, Michela;

    2014-01-01

    Type 1 Diabetes (T1D) is an autoimmune disease where local release of cytokines such as IL-1β and IFN-γ contributes to β-cell apoptosis. To identify relevant genes regulating this process we performed a meta-analysis of 8 datasets of β-cell gene expression after exposure to IL-1β and IFN-γ. Two of...

  18. Uncertainty and sensitivity analysis for gas and brine migration at the Waste Isolation Pilot Plant: Fully consolidated shaft

    International Nuclear Information System (INIS)

    Uncertainty and sensitivity analysis techniques based on Latin hypercube sampling, partial correlation analysis, stepwise regression analysis, and examination of scatterplots are used in conjunction with the BRAGFLO model to examine two-phase flow (i.e., gas and brine) at the Waste Isolation Pilot Plant, which is being developed by the US Department of Energy as a disposal facility for transuranic waste, to provide insights on factors that are potentially important in showing compliance with applicable regulations of the US Environmental Protection Agency. Specific regulations include Petitions to Allow Land Disposal of a Waste Prohibited Under Subpart C of Part 268 (40 CFR 268.6), which implements the Resource Conservation and Recovery Act and establishes maximum environmental concentrations for regulated chemicals such as volatile organic compounds (VOCs) and heavy metals, and Environmental Standards for the Management and Disposal of Spent Nuclear Fuel, High-Level and Transuranic Radioactive Wastes (40 CFR 191, Subpart B), which places a probabilistic limit on allowable radioactive releases from a disposal facility over a 10,000-yr time period. The primary topics investigated are (a) gas production due to corrosion of steel, (b) gas production due to microbial degradation of cellulosics, and (c) gas migration into anhydrite marker beds in the Salado Formation, which is the host unit into which the waste will be emplaced. Gas production and movement is of particular importance in establishing compliance with 40 CFR 268.6 because of its influence on the movement of VOCs. Important variables identified in the analysis include (a) initial brine saturation of the waste, (b) stoichiometric terms for corrosion of steel and microbial degradation of cellulosics, and (c) gas barrier pressure in the anhydrite marker beds

  19. Probability and Statistical Inference

    OpenAIRE

    Prosper, Harrison B.

    2006-01-01

    These lectures introduce key concepts in probability and statistical inference at a level suitable for graduate students in particle physics. Our goal is to paint as vivid a picture as possible of the concepts covered.

  20. Particle migration analysis in iterative classification of cryo-EM single-particle data

    OpenAIRE

    Chen, Bo; Shen, Bingxin; Frank, Joachim

    2014-01-01

    Recently developed classification methods have enabled resolving multiple biological structures from cryo-EM data collected on heterogeneous biological samples. However, there remains the problem of how to base the decisions in the classification on the statistics of the cryo-EM data, to reduce the subjectivity in the process. Here, we propose a quantitative analysis to determine the iteration of convergence and the number of distinguishable classes, based on the statistics of the single part...

  1. Bootstrap inference in econometrics

    OpenAIRE

    James G. MacKinnon

    2002-01-01

    The astonishing increase in computer performance over the past two decades has made it possible for economists to base many statistical inferences on simulated, or bootstrap, distributions rather than on distributions obtained from asymptotic theory. In this paper, I review some of the basic ideas of bootstrap inference. I discuss Monte Carlo tests, several types of bootstrap test, and bootstrap confidence intervals. Although bootstrapping often works well, it does not do so in every case.

  2. Inference and update

    OpenAIRE

    Velázquez-Quesada, F.R.

    2008-01-01

    We look at two fundamental logical processes, often intertwined in planning and problem solving: inference and update. Inference is an internal process with which we draw new conclusions, uncovering what is implicit in the information we already have. Update, on the other hand, is produced by external communication, usually in the form of announcements and in general in the form of observations, giving us information that might have been not available (even implicitly) to us before. Both proc...

  3. Composite Bayesian inference

    OpenAIRE

    Roche, Alexis

    2015-01-01

    This paper revisits the concept of composite likelihood from the perspective of probabilistic inference, and proposes a generalization called super composite likelihood for sharper inference in multiclass problems. It is argued that, beside providing a new interpretation and a general justification of na\\"ive Bayes procedures, super composite likelihood yields a much wider class of discriminative models suitable for unsupervised and weakly supervised learning.

  4. Quantum inferring acausal structure

    OpenAIRE

    Glos, Adam; Kurzyk, Dariusz

    2015-01-01

    This paper presents a generalization of probability theory and inferring structures in a field of quantum information theory. First, the formalism of quantum information theory is introduced. Next, quantum theory is used to define a quantum conditional operators which are fundamental in describing quantum inferring structures. The result of reasoning performance over the structures was presented in a Monty Hall game. The experiment shows that entanglement of quantum states has influence on op...

  5. A systematic analysis of motivations of international migration of people from the homes of overseas Chinese in Fujian Province.

    Science.gov (United States)

    Pu, Y

    1988-12-01

    Based on quantitative analyses of the latest survey data and qualitative analyses of the demographic literature, this paper studies the course of international migration of Chinese people from Fujian Province during the period from the 1920s to 1949 when the People's Republic of China was founded. Migration to Southeast Asia is emphasized. Per capita arable land in Fujian Province was only 1.8 mu. in 1936. Far more arable land was available in Southeast Asian countries, and a lot of it was farmed far more productively. The period from the 1920s to 1949 was one of the most politically turbulent periods in Chinese history. Numerous wars took place during this period. 30% of the emigrants during this period went to join family members. Emigrants were not only informed about employment opportunities in the destination, they were also provided with transportation, accommodations, and even employment. This chain migration was influenced by the inertia of migration movements. Demographic theories describe patterns of migration, including primary, compulsory, promoting, free, and large-scale migration patterns. The international migration of Chinese from Fujian Province to Southeast Asia was a comprehensive process characterized by multiple patterns of migration. The process was influenced by many factors at both destination and origin, including the inertia principle. The major factors leading to emigration were poor living conditions at home, the attraction of the blood relationship, life-threatening political conditions, and the intention of seeking a better business environment, as well as the feedback effect of the previous migration process. Moreover, good transportation, a favorable natural environment, a large labor force, and political stability pulled emigrants to the Southeast Asian countries. PMID:12282095

  6. Nonparametric Bayesian inference in biostatistics

    CERN Document Server

    Müller, Peter

    2015-01-01

    As chapters in this book demonstrate, BNP has important uses in clinical sciences and inference for issues like unknown partitions in genomics. Nonparametric Bayesian approaches (BNP) play an ever expanding role in biostatistical inference from use in proteomics to clinical trials. Many research problems involve an abundance of data and require flexible and complex probability models beyond the traditional parametric approaches. As this book's expert contributors show, BNP approaches can be the answer. Survival Analysis, in particular survival regression, has traditionally used BNP, but BNP's potential is now very broad. This applies to important tasks like arrangement of patients into clinically meaningful subpopulations and segmenting the genome into functionally distinct regions. This book is designed to both review and introduce application areas for BNP. While existing books provide theoretical foundations, this book connects theory to practice through engaging examples and research questions. Chapters c...

  7. Diet of yellow-billed loons (Gavia adamsii) in Arctic lakes during the nesting season inferred from fatty acid analysis

    Science.gov (United States)

    Haynes, T B; Schmutz, Joel A.; Bromaghin, Jeffrey; Iverson, S J; Padula, V M; Rosenberger, A E

    2015-01-01

    Understanding the dietary habits of yellow-billed loons (Gavia adamsii) can give important insights into their ecology, however, studying the diet of loons is difficult when direct observation or specimen collection is impractical. We investigate the diet of yellow-billed loons nesting on the Arctic Coastal Plain of Alaska using quantitative fatty acid signature analysis. Tissue analysis from 26 yellow-billed loons and eleven prey groups (nine fish species and two invertebrate groups) from Arctic lakes suggests that yellow-billed loons are eating high proportions of Alaska blackfish (Dallia pectoralis), broad whitefish (Coregonus nasus) and three-spined stickleback (Gasterosteus aculeatus) during late spring and early summer. The prominence of blackfish in diets highlights the widespread availability of blackfish during the early stages of loon nesting, soon after spring thaw. The high proportions of broad whitefish and three-spined stickleback may reflect a residual signal from the coastal staging period prior to establishing nesting territories on lakes, when loons are more likely to encounter these species. Our analyses were sensitive to the choice of calibration coefficient based on data from three different species, indicating the need for development of loon-specific coefficients for future study and confirmation of our results. Regardless, fish that are coastally distributed and that successfully overwinter in lakes are likely key food items for yellow-billed loons early in the nesting season.

  8. Metabolomic Dynamic Analysis of Hypoxia in MDA-MB-231 and the Comparison with Inferred Metabolites from Transcriptomics Data

    International Nuclear Information System (INIS)

    Hypoxia affects the tumor microenvironment and is considered important to metastasis progression and therapy resistance. Thus far, the majority of global analyses of tumor hypoxia responses have been limited to just a single omics level. Combining multiple omics data can broaden our understanding of tumor hypoxia. Here, we investigate the temporal change of the metabolite composition with gene expression data from literature to provide a more comprehensive insight into the system level in response to hypoxia. Nuclear magnetic resonance spectroscopy was used to perform metabolomic profiling on the MDA-MB-231 breast cancer cell line under hypoxic conditions. Multivariate statistical analysis revealed that the metabolic difference between hypoxia and normoxia was similar over 24 h, but became distinct over 48 h. Time dependent microarray data from the same cell line in the literature displayed different gene expressions under hypoxic and normoxic conditions mostly at 12 h or earlier. The direct metabolomic profiles show a large overlap with theoretical metabolic profiles deduced from previous transcriptomic studies. Consistent pathways are glycolysis/gluconeogenesis, pyruvate, purine and arginine and proline metabolism. Ten metabolic pathways revealed by metabolomics were not covered by the downstream of the known transcriptomic profiles, suggesting new metabolic phenotypes. These results confirm previous transcriptomics understanding and expand the knowledge from existing models on correlation and co-regulation between transcriptomic and metabolomics profiles, which demonstrates the power of integrated omics analysis

  9. Metabolomic Dynamic Analysis of Hypoxia in MDA-MB-231 and the Comparison with Inferred Metabolites from Transcriptomics Data

    Directory of Open Access Journals (Sweden)

    Yufeng Jane Tseng

    2013-05-01

    Full Text Available Hypoxia affects the tumor microenvironment and is considered important to metastasis progression and therapy resistance. Thus far, the majority of global analyses of tumor hypoxia responses have been limited to just a single omics level. Combining multiple omics data can broaden our understanding of tumor hypoxia. Here, we investigate the temporal change of the metabolite composition with gene expression data from literature to provide a more comprehensive insight into the system level in response to hypoxia. Nuclear magnetic resonance spectroscopy was used to perform metabolomic profiling on the MDA-MB-231 breast cancer cell line under hypoxic conditions. Multivariate statistical analysis revealed that the metabolic difference between hypoxia and normoxia was similar over 24 h, but became distinct over 48 h. Time dependent microarray data from the same cell line in the literature displayed different gene expressions under hypoxic and normoxic conditions mostly at 12 h or earlier. The direct metabolomic profiles show a large overlap with theoretical metabolic profiles deduced from previous transcriptomic studies. Consistent pathways are glycolysis/gluconeogenesis, pyruvate, purine and arginine and proline metabolism. Ten metabolic pathways revealed by metabolomics were not covered by the downstream of the known transcriptomic profiles, suggesting new metabolic phenotypes. These results confirm previous transcriptomics understanding and expand the knowledge from existing models on correlation and co-regulation between transcriptomic and metabolomics profiles, which demonstrates the power of integrated omics analysis.

  10. Metabolomic Dynamic Analysis of Hypoxia in MDA-MB-231 and the Comparison with Inferred Metabolites from Transcriptomics Data

    Energy Technology Data Exchange (ETDEWEB)

    Tsai, I-Lin [Department of Pharmacy, National Taiwan University, No. 1, Jen-Ai Road, Section 1 Taipei 10051, Taiwan (China); The Metabolomics Group, National Taiwan University, Taipei 106, Taiwan (China); Center for Genomic Medicine, National Taiwan University, Taipei 10051, Taiwan (China); Kuo, Tien-Chueh [The Metabolomics Group, National Taiwan University, Taipei 106, Taiwan (China); Graduate Institute of Biomedical Electronic and Bioinformatics, National Taiwan University, Room 410 BL Building, No. 1, Roosevelt Road, Sec. 4, Taipei 106, Taiwan (China); Ho, Tsung-Jung [The Metabolomics Group, National Taiwan University, Taipei 106, Taiwan (China); Department of Computer Science and Information Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei 10617, Taiwan (China); Harn, Yeu-Chern [The Metabolomics Group, National Taiwan University, Taipei 106, Taiwan (China); Graduate Institute of Networking and Multimedia, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei 10617, Taiwan (China); Wang, San-Yuan [The Metabolomics Group, National Taiwan University, Taipei 106, Taiwan (China); Department of Computer Science and Information Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei 10617, Taiwan (China); Fu, Wen-Mei [Department of Pharmacology, National Taiwan University, 11 F No. 1 Sec. 1, Ren-ai Rd., Taipei 10051, Taiwan (China); Kuo, Ching-Hua, E-mail: kuoch@ntu.edu.tw [Department of Pharmacy, National Taiwan University, No. 1, Jen-Ai Road, Section 1 Taipei 10051, Taiwan (China); The Metabolomics Group, National Taiwan University, Taipei 106, Taiwan (China); Center for Genomic Medicine, National Taiwan University, Taipei 10051, Taiwan (China); Tseng, Yufeng Jane, E-mail: kuoch@ntu.edu.tw [Department of Pharmacy, National Taiwan University, No. 1, Jen-Ai Road, Section 1 Taipei 10051, Taiwan (China); The Metabolomics Group, National Taiwan University, Taipei 106, Taiwan (China); Center for Genomic Medicine, National Taiwan University, Taipei 10051, Taiwan (China); Graduate Institute of Biomedical Electronic and Bioinformatics, National Taiwan University, Room 410 BL Building, No. 1, Roosevelt Road, Sec. 4, Taipei 106, Taiwan (China); Department of Computer Science and Information Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei 10617, Taiwan (China)

    2013-05-03

    Hypoxia affects the tumor microenvironment and is considered important to metastasis progression and therapy resistance. Thus far, the majority of global analyses of tumor hypoxia responses have been limited to just a single omics level. Combining multiple omics data can broaden our understanding of tumor hypoxia. Here, we investigate the temporal change of the metabolite composition with gene expression data from literature to provide a more comprehensive insight into the system level in response to hypoxia. Nuclear magnetic resonance spectroscopy was used to perform metabolomic profiling on the MDA-MB-231 breast cancer cell line under hypoxic conditions. Multivariate statistical analysis revealed that the metabolic difference between hypoxia and normoxia was similar over 24 h, but became distinct over 48 h. Time dependent microarray data from the same cell line in the literature displayed different gene expressions under hypoxic and normoxic conditions mostly at 12 h or earlier. The direct metabolomic profiles show a large overlap with theoretical metabolic profiles deduced from previous transcriptomic studies. Consistent pathways are glycolysis/gluconeogenesis, pyruvate, purine and arginine and proline metabolism. Ten metabolic pathways revealed by metabolomics were not covered by the downstream of the known transcriptomic profiles, suggesting new metabolic phenotypes. These results confirm previous transcriptomics understanding and expand the knowledge from existing models on correlation and co-regulation between transcriptomic and metabolomics profiles, which demonstrates the power of integrated omics analysis.

  11. Gideon's Migration

    OpenAIRE

    Eagly, Ingrid

    2013-01-01

    For the past fifty years, immigration law has resisted integration of Gideon v.Wainwright’s legacy of appointed counsel for the poor. Today, however, this resistance has given way to Gideon’s migration. At the level of everyday practice, criminal defense attorneys appointed pursuant to Gideon now advise clients on the immigration consequences of convictions, negotiate “immigration safe” plea bargains, defend clients charged with immigration crimes, and, in some model programs, even represent ...

  12. Ethnological Analysis of the Process of the Post-War Migration of Slovaks from Hungary to Czechoslovakia in the Years 1946-1948

    Directory of Open Access Journals (Sweden)

    Paríková Magdaléna

    2014-12-01

    Full Text Available The article focuses on the application of the possibilities of collecting narratives and their analysis in the reconstruction process of migration of people to the new country - in Slovakia. The analysis of the particular data gained by fieldwork research using the oral history method comparative with the historical and statistic dates. These facts offer not only relevant information documenting the real process of the migration, but also create the network of microprobes (case study on the basis of specific experienced events of the direct participants of migration, as well as the reflection in memory of the resettled. Fieldwork research was in the region of South Slovakia - around Nové Zámky and Komárno cities. The aim of this approach is to interpret individually experience “small history” of the context of “big history”, specifically, one post-war phase of migration, which occurred in this area of Central Europe in the period from 1946 to 1948.

  13. Analysis of Approximations and Aperture Distortion for 3D Migration of Bistatic Radar Data with the Two-Step Approach

    Science.gov (United States)

    Zanzi, Luigi; Lualdi, Maurizio

    2010-12-01

    The two-step approach is a fast algorithm for 3D migration originally introduced to process zero-offset seismic data. Its application to monostatic GPR (Ground Penetrating Radar) data is straightforward. A direct extension of the algorithm for the application to bistatic radar data is possible provided that the TX-RX azimuth is constant. As for the zero-offset case, the two-step operator is exactly equivalent to the one-step 3D operator for a constant velocity medium and is an approximation of the one-step 3D operator for a medium where the velocity varies vertically. Two methods are explored for handling a heterogeneous medium; both are suitable for the application of the two-step approach, and they are compared in terms of accuracy of the final 3D operator. The aperture of the two-step operator is discussed, and a solution is proposed to optimize its shape. The analysis is of interest for any NDT application where the medium is expected to be heterogeneous, or where the antenna is not in direct contact with the medium (e.g., NDT of artworks, humanitarian demining, radar with air-launched antennas).

  14. Analysis of Approximations and Aperture Distortion for 3D Migration of Bistatic Radar Data with the Two-Step Approach

    Directory of Open Access Journals (Sweden)

    Luigi Zanzi

    2010-01-01

    Full Text Available The two-step approach is a fast algorithm for 3D migration originally introduced to process zero-offset seismic data. Its application to monostatic GPR (Ground Penetrating Radar data is straightforward. A direct extension of the algorithm for the application to bistatic radar data is possible provided that the TX-RX azimuth is constant. As for the zero-offset case, the two-step operator is exactly equivalent to the one-step 3D operator for a constant velocity medium and is an approximation of the one-step 3D operator for a medium where the velocity varies vertically. Two methods are explored for handling a heterogeneous medium; both are suitable for the application of the two-step approach, and they are compared in terms of accuracy of the final 3D operator. The aperture of the two-step operator is discussed, and a solution is proposed to optimize its shape. The analysis is of interest for any NDT application where the medium is expected to be heterogeneous, or where the antenna is not in direct contact with the medium (e.g., NDT of artworks, humanitarian demining, radar with air-launched antennas.

  15. Phylogenetic Relationships of Sorghum and Related Species Inferred from Sequence Analysis of the nrDNA ITS Region

    Institute of Scientific and Technical Information of China (English)

    GUO Qiong-xia; HUANG Ke-hui; YU Yun; HUANG Zhen; WU Zhen-quan

    2006-01-01

    Analysis of phylogenetic and evolution in six species of Sorghum was based on internal transcribed spacer (ITS) sequences in nuclear ribosomal DNA. Results showed that the length of the ITS regions among the six species ranged from 588 to 589bp and the contents of G + C in ITS (ITS 1 + 5.8S + ITS2) regions ranged from 60.27 to 61.05%; the length of ITS 1 ranged from 207 to 208 bp and the contents of G+C in the ITS1 regions ranged from 53.91 to 61.54%. The length of the 5.8S rDNA and ITS2 regions in the six species was 164 and 217 bp respectively, and the contents of G+C ranged from 56.10 to 58.54% in the 5.8S rDNA region and 66.36 to 67.28% in the ITS2 region. Among regions of ITS, ITS1, ITS2, and 5.8S, the best sequence for genetic relationship analysis in the six species was the ITS region. On the basis of the Jaccard coefficient and phylogentic tree, S. sp. was more related to S. propinguum than to other species. This was consistent with the fact that S.sp. is derived from S. propinguum. From the phylogenetic tree based on ITS 1, S. halepense, silk sorghum and S. sudanense,are identical in the ITS1 sequence, whereas the phylogenetic tree based one shows that S. sudanense has a closer genetic association with S. almum rather than with S. halepense and silk sorghum.

  16. Angle-domain Migration Velocity Analysis using Wave-equation Reflection Traveltime Inversion

    KAUST Repository

    Zhang, Sanzong

    2012-11-04

    The main difficulty with an iterative waveform inversion is that it tends to get stuck in a local minima associated with the waveform misfit function. This is because the waveform misfit function is highly non-linear with respect to changes in the velocity model. To reduce this nonlinearity, we present a reflection traveltime tomography method based on the wave equation which enjoys a more quasi-linear relationship between the model and the data. A local crosscorrelation of the windowed downgoing direct wave and the upgoing reflection wave at the image point yields the lag time that maximizes the correlation. This lag time represents the reflection traveltime residual that is back-projected into the earth model to update the velocity in the same way as wave-equation transmission traveltime inversion. The residual movemout analysis in the angle-domain common image gathers provides a robust estimate of the depth residual which is converted to the reflection traveltime residual for the velocity inversion. We present numerical examples to demonstrate its efficiency in inverting seismic data for complex velocity model.

  17. A preference for migration

    OpenAIRE

    Stark, Oded

    2007-01-01

    At least to some extent migration behavior is the outcome of a preference for migration. The pattern of migration as an outcome of a preference for migration depends on two key factors: imitation technology and migration feasibility. We show that these factors jointly determine the outcome of a preference for migration and we provide examples that illustrate how the prevalence and transmission of a migration-forming preference yield distinct migration patterns. In particular, the imitation of...

  18. Analysis of the migration of Cl, 131I, 3H, in a shallow sand aquifer

    International Nuclear Information System (INIS)

    Two tracer tests with conservative species have been carried out in a shallow glacial sand aquifer at the British Geological Survey in situ research site at Drigg in Cumbria. The objectives of the tests were to determine the transport properties of the aquifer, to compare the use of the three 'conservative' tracers (chloride as NaCl, iodine-131 as KI and tritium as HTO) and to provide a reference for further experiments involving chemically reactive solutes. A 2-D layered model was used to estimate the hydraulic conductivity of each layer from the tracer breakthroughs. A 1-D analytical solution to the advection-dispersion equation was used to estimate the dispersion lengths of each layer. Longitudinal dispersion lengths ranged from 0.5cm to 5cm; 50-150 times less than the path length. The aquifer properties are slightly altered by the running of the tests. Thus future tests with reactive tracers should be carried out with simultaneous injection of a conservative tracer for comparison. On a simple level the aquifer can be characterised as a number of layers with a high conductivity zone in the middle and small dispersion lengths of the order of a centimetre, although the detailed flow patterns are quite complex resulting in multiple peaks on some breakthrough curves. Using 1-D transport analysis should be adequate to estimate any retardation effects on a reactive tracer. Any of chloride, iodide-131 or tritium could be used as conservative reference tracers in future tests, although the analytical precision offered by radiotracers is to be preferred. (author)

  19. Analysis of the migration of Cl, 131I and 3H in a shallow sand aquifer

    International Nuclear Information System (INIS)

    Two tracer tests with conservative species have been carried out in a shallow glacial sand aquifer at the BGS in situ research site at Drigg in Cumbria. The objectives of the tests were to determine the transport properties of the aquifer, to compare the use of the three 'conservative' tracers (chloride as NaCI, iodine-131 as KI and tritium as HTO) and to provide a reference for further experiments involving chemical reactive solutes. A 2-D layered model was used to estimate the hydraulic conductivity of each layer from the tracer breakthroughs. A 1-D analytical solution to the advection-dispersion equation was used to estimate the dispersion lengths of each layer. Longitudinal dispersion lengths ranged from 0.5 cm to 5 cm; 50-150 times less than the path length. The aquifer properties are slightly altered by the running of the tests. Thus, future tests with reactive tracers should be carried out with simultaneous injection of a conservative tracer for comparison. On a simple level the aquifer can be characterized as a number of layers with a high conductivity zone in the middle and small dispersion lengths of the order of a centimetre, although the detailed flow patterns are quite complex resulting in multiple peaks on some breakthrough curves. Using 1-D transport analysis should be adequate to estimate any retardation effects on a reactive tracer. Any of chloride, iodide-131 or tritium could be used as conservative reference tracers in future tests, although the analytical precision offered by radiotracers is to be preferred. 15 figs.; 6 tab.; 5 refs

  20. Statistical analysis and decoding of neural activity in the rodent geniculate ganglion using a metric-based inference system.

    Directory of Open Access Journals (Sweden)

    Wei Wu

    Full Text Available We analyzed the spike discharge patterns of two types of neurons in the rodent peripheral gustatory system, Na specialists (NS and acid generalists (AG to lingual stimulation with NaCl, acetic acid, and mixtures of the two stimuli. Previous computational investigations found that both spike rate and spike timing contribute to taste quality coding. These studies used commonly accepted computational methods, but they do not provide a consistent statistical evaluation of spike trains. In this paper, we adopted a new computational framework that treated each spike train as an individual data point for computing summary statistics such as mean and variance in the spike train space. We found that these statistical summaries properly characterized the firing patterns (e. g. template and variability and quantified the differences between NS and AG neurons. The same framework was also used to assess the discrimination performance of NS and AG neurons and to remove spontaneous background activity or "noise" from the spike train responses. The results indicated that the new metric system provided the desired decoding performance and noise-removal improved stimulus classification accuracy, especially of neurons with high spontaneous rates. In summary, this new method naturally conducts statistical analysis and neural decoding under one consistent framework, and the results demonstrated that individual peripheral-gustatory neurons generate a unique and reliable firing pattern during sensory stimulation and that this pattern can be reliably decoded.

  1. A hybrid swarm population of Pinus densiflora × P. sylvestris inferred from sequence analysis of chloroplast DNA and morphological characters

    Institute of Scientific and Technical Information of China (English)

    Young Hee Joung; Jerry L.Hill; Jung Oh Hyun; Ding Mu; Juchun Luo; Do Hyung Lee; Takayuki Kawahara; Jeung Keun Suh; Mark S.Roh

    2013-01-01

    To confirm a hybrid swarm population ofPinus densiflora × P.sylvestris in Jilin,China,we used needles and seeds from P.densiflora,P.sylvestris,and P.densiflora × P.sylvestris collected from natural stands or experimental stations to study whether shoot apex morphology of 4-year old seedlings can be correlated with the sequence of a chloroplast DNA simple sequence repeat marker (cpDNA SSRs).Total genomic DNA was extracted and subjected to sequence analysis of the pine cpDNA SSR marker Pt15169.Results show that morphological characters from 4-year old seedlings did not correlate with sequence variants of this marker.Marker haplotypes from all P.sylvestris trees had a CTAT element that was absent from all sampled P.densiflora trees.However,both haplotype classes involving this insertion/deletion element were found in a P.densiflora × P.sylvestris population and its seedling progeny.It was concluded that the P.densiflora × P.sylvestris accessions sampled from Jilin,China resulted from bi-directional crosses,as evidenced by both species' cpDNA haplotypes within the hybrid swarm population.

  2. Phylogenetic relationships of the ciliate class Heterotrichea (Protista, Ciliophora, Postciliodesmatophora) inferred from multiple molecular markers and multifaceted analysis strategy.

    Science.gov (United States)

    Shazib, Shahed Uddin Ahmed; Vd'ačný, Peter; Kim, Ji Hye; Jang, Seok Won; Shin, Mann Kyoon

    2014-09-01

    The ciliate class Heterotrichea is defined by somatic dikinetids bearing postciliodesmata, by an oral apparatus consisting of a paroral membrane and an adoral zone of membranelles, as well as by features of nuclear division involving extramacronuclear microtubules. Although phylogenetic interrelationships among heterotrichs have been analyzed several times, deeper nodes of the heterotrichean tree of life remain poorly resolved. To cast more light on the evolutionary history of heterotricheans, we performed phylogenetic analyses of multiple loci (18S rRNA gene, ITS1-5.8S rRNA-ITS2 region, and 28S rRNA gene) using traditional tree-building phylogenetic methods and statistical tree topology tests as well as phylogenetic networks, split spectrum analysis and quartet likelihood mapping. This multifaceted approach has shown that (1) Peritromus is very likely an adelphotaxon of all other heterotrichs; (2) Spirostomum and Anigsteinia are sister taxa and their common monophyletic origin is strongly supported by a uniquely posteriorly-thickened paroral membrane; (3) the monotypic family Chattonidiidae should be suppressed because its type genus clusters within the family Condylostomatidae; and (4) new families are needed for Gruberia and Fabrea because their affiliation with Spirostomidae and Climacostomidae, respectively, is not supported by molecular phylogenies nor the fine structure of the paroral membrane. PMID:24859684

  3. Significant population genetic structure detected in the rock bream Oplegnathus fasciatus (Temminck & Schlegel, 1844) inferred from fluorescent-AFLP analysis

    Science.gov (United States)

    Xiao, Yongshuang; Ma, Daoyuan; Xu, Shihong; Liu, Qinghua; Wang, Yanfeng; Xiao, Zhizhong; Li, Jun

    2016-05-01

    Oplegnathus fasciatus (rock bream) is a commercial rocky reef fish species in East Asia that has been considered for aquaculture. We estimated the population genetic diversity and population structure of the species along the coastal waters of China using fluorescent-amplified fragment length polymorphisms technology. Using 53 individuals from three populations and four pairs of selective primers, we amplified 1 264 bands, 98.73% of which were polymorphic. The Zhoushan population showed the highest Nei's genetic diversity and Shannon genetic diversity. The results of analysis of molecular variance (AMOVA) showed that 59.55% of genetic variation existed among populations and 40.45% occurred within populations, which indicated that a significant population genetic structure existed in the species. The pairwise fixation index F st ranged from 0.20 to 0.63 and were significant after sequential Bonferroni correction. The topology of an unweighted pair group method with arithmetic mean tree showed two significant genealogical branches corresponding to the sampling locations of North and South China. The AMOVA and STRUCTURE analyses suggested that the O. fasciatus populations examined should comprise two stocks.

  4. Analysis of in vitro migration patterns of human spermatozoa by a petri dish-based horizontal column.

    Science.gov (United States)

    Hossain, A M; Barik, S; Rizk, B; Kulkarni, P M; Thorneycroft, I H

    1999-08-01

    Spermatozoa are required to travel a considerable distance in vivo to meet the oocyte at the fertilization site. However, none of the existing in vitro tests critically evaluates migration of sperm to assess their potential of reaching the oocyte. On the other hand, an in vivo model is not suitable for this type of study because of ethical and technical constraints. In the present study we utilized a horizontal column technique to analyze sperm migration. Migratory characteristics of fresh, unwashed semen sperm and sperm undergoing various treatments were examined in vitro using a Petri dish-based horizontal fluid column. The procedure involved loading a sperm sample into the column and determining sperm concentration, motility, and viability at different column segments for different migration durations (6, 12, 24, 48, and 72 h). All sperm samples produced an exponential migration pattern in all durations of migration. Propagation along the column edge, tendency to exit from the column, and hiding in the blind pouches were some of the important characteristic features exhibited by the migratory sperm. Variations in migration patterns were documented among semen donors, between fresh and frozen semen, and between washed and unwashed sperm. Prolonged postejaculation time diminished migratory potential. The recovery of sperm in the column end was independent of seminal variables with the exception of oligozoospermia. These observations suggest that the Petri dish-based horizontal column is effective for analyzing sperm migration characteristics for prolonged periods. The potential of this migration assay in predicting the in vivo potential of spermatozoa to reach the fertilization site will be worth exploring. PMID:10411519

  5. Causal inference in economics and marketing.

    Science.gov (United States)

    Varian, Hal R

    2016-07-01

    This is an elementary introduction to causal inference in economics written for readers familiar with machine learning methods. The critical step in any causal analysis is estimating the counterfactual-a prediction of what would have happened in the absence of the treatment. The powerful techniques used in machine learning may be useful for developing better estimates of the counterfactual, potentially improving causal inference. PMID:27382144

  6. Causal inference in economics and marketing

    Science.gov (United States)

    Varian, Hal R.

    2016-01-01

    This is an elementary introduction to causal inference in economics written for readers familiar with machine learning methods. The critical step in any causal analysis is estimating the counterfactual—a prediction of what would have happened in the absence of the treatment. The powerful techniques used in machine learning may be useful for developing better estimates of the counterfactual, potentially improving causal inference. PMID:27382144

  7. Fabric phase sorptive extraction: An innovative sample preparation approach applied to the analysis of specific migration from food packaging.

    Science.gov (United States)

    Aznar, M; Alfaro, P; Nerin, C; Kabir, A; Furton, K G

    2016-09-14

    Additives added to food packaging materials can migrate to food in contact with them during storage and shelf life. A novel simple, fast and sensitive analyte extraction method based on fabric phase sorptive extraction (FPSE), followed by analysis using ultra-high performance liquid chromatography and mass spectrometry detection (UPLC-MS) was applied to the analysis of 18 common non-volatile plastic additives. Three FPSE media coated with different sol-gel sorbents characterized with different polarities including sol-gel poly(dimethylsiloxane), sol-gel poly(ethylene glycol) and sol-gel poly(tetrahydrofuran) were studied. All three FPSE media showed very satisfactory results. In general, compounds with low logP values seemed to have higher enrichment factors (EFs), especially with poly(tetrahydrofuran) and poly(ethylene glycol) media. For compounds with high logP values, the use of sol-gel poly(dimethylsiloxane) improved the enrichment capacity. Sample preparation time was optimized at 20 min for sample extraction and 10 min for solvent desorption. Acetonitrile was selected as desorption solvent since recoveries were over 70% for 13 out of 18 selected compounds in all FPSE media. The best extraction recovery values were obtained when compounds were dissolved in aqueous acetic acid solution (3%), where 17 out of 18 compounds showed improvement in their signal intensity after FPSE extraction and 10 obtained enrichment factors above 3 for all the tested FPSE media. When FPSE extracts were concentrated under nitrogen, 11 out of 18 compounds reached EFs values above 100. PMID:27566344

  8. Radionuclide migration pathways analysis for the Oak Ridge Central Waste Disposal Facility on the West Chestnut Ridge site

    International Nuclear Information System (INIS)

    A dose-to-man pathways analysis is performed for disposal of low-level radioactive waste at the Central Waste Disposal Facility on the West Chestnut Ridge Site. Both shallow land burial (trench) and aboveground (tumulus) disposal methods are considered. The waste volumes, characteristics, and radionuclide concentrations are those of waste streams anticipated from the Oak Ridge National Laboratory, the Y-12 Plant, and the Oak Ridge Gaseous Diffusion Plant. The site capacity for the waste streams is determined on the basis of the pathways analysis. The exposure pathways examined include (1) migration and transport of leachate from the waste disposal units to the Clinch River (via the groundwater medium for trench disposal and Ish Creek for tumulus disposal) and (2) those potentially associated with inadvertent intrusion following a 100-year period of institutional control: an individual resides on the site, inhales suspended particles of contaminated dust, ingests vegetables grown on the plot, consumes contaminated water from either an on-site well or from a nearby surface stream, and receives direct exposure from the contaminated soil. It is found that either disposal method would provide effective containment and isolation for the anticipated waste inventory. However, the proposed trench disposal method would provide more effective containment than tumuli because of sorption of some radionuclides in the soil. Persons outside the site boundary would receive radiation doses well below regulatory limits if they were to ingest water from the Clinch River. An inadvertent intruder could receive doses that approach regulatory limits; however, the likelihood of such intrusions and subsequent exposures is remote. 33 references, 31 figures, 28 tables

  9. Limits of principal components analysis for producing a common trait space: implications for inferring selection, contingency, and chance in evolution.

    Directory of Open Access Journals (Sweden)

    Kevin J Parsons

    Full Text Available BACKGROUND: Comparing patterns of divergence among separate lineages or groups has posed an especially difficult challenge for biologists. Recently a new, conceptually simple methodology called the "ordered-axis plot" approach was introduced for the purpose of comparing patterns of diversity in a common morphospace. This technique involves a combination of principal components analysis (PCA and linear regression. Given the common use of these statistics the potential for the widespread use of the ordered axis approach is high. However, there are a number of drawbacks to this approach, most notably that lineages with the greatest amount of variance will largely bias interpretations from analyses involving a common morphospace. Therefore, without meeting a set of a priori requirements regarding data structure the ordered-axis plot approach will likely produce misleading results. METHODOLOGY/PRINCIPAL FINDINGS: Morphological data sets from cichlid fishes endemic to Lakes Tanganyika, Malawi, and Victoria were used to statistically demonstrate how separate groups can have differing contributions to a common morphospace produced by a PCA. Through a matrix superimposition of eigenvectors (scale-free trajectories of variation identified by PCA we show that some groups contribute more to the trajectories of variation identified in a common morphospace. Furthermore, through a set of randomization tests we show that a common morphospace model partitions variation differently than group-specific models. Finally, we demonstrate how these limitations may influence an ordered-axis plot approach by performing a comparison on data sets with known alterations in covariance structure. Using these results we provide a set of criteria that must be met before a common morphospace can be reliably used. CONCLUSIONS/SIGNIFICANCE: Our results suggest that a common morphospace produced by PCA would not be useful for producing biologically meaningful results unless a

  10. Statistical Physics of High Dimensional Inference

    Science.gov (United States)

    Advani, Madhu; Ganguli, Surya

    To model modern large-scale datasets, we need efficient algorithms to infer a set of P unknown model parameters from N noisy measurements. What are fundamental limits on the accuracy of parameter inference, given limited measurements, signal-to-noise ratios, prior information, and computational tractability requirements? How can we combine prior information with measurements to achieve these limits? Classical statistics gives incisive answers to these questions as the measurement density α =N/P --> ∞ . However, modern high-dimensional inference problems, in fields ranging from bio-informatics to economics, occur at finite α. We formulate and analyze high-dimensional inference analytically by applying the replica and cavity methods of statistical physics where data serves as quenched disorder and inferred parameters play the role of thermal degrees of freedom. Our analysis reveals that widely cherished Bayesian inference algorithms such as maximum likelihood and maximum a posteriori are suboptimal in the modern setting, and yields new tractable, optimal algorithms to replace them as well as novel bounds on the achievable accuracy of a large class of high-dimensional inference algorithms. Thanks to Stanford Graduate Fellowship and Mind Brain Computation IGERT grant for support.

  11. Linguistic Markers of Inference Generation While Reading.

    Science.gov (United States)

    Clinton, Virginia; Carlson, Sarah E; Seipel, Ben

    2016-06-01

    Words can be informative linguistic markers of psychological constructs. The purpose of this study is to examine associations between word use and the process of making meaningful connections to a text while reading (i.e., inference generation). To achieve this purpose, think-aloud data from third-fifth grade students ([Formula: see text]) reading narrative texts were hand-coded for inferences. These data were also processed with a computer text analysis tool, Linguistic Inquiry and Word Count, for percentages of word use in the following categories: cognitive mechanism words, nonfluencies, and nine types of function words. Findings indicate that cognitive mechanisms were an independent, positive predictor of connections to background knowledge (i.e., elaborative inference generation) and nonfluencies were an independent, negative predictor of connections within the text (i.e., bridging inference generation). Function words did not provide unique variance towards predicting inference generation. These findings are discussed in the context of a cognitive reflection model and the differences between bridging and elaborative inference generation. In addition, potential practical implications for intelligent tutoring systems and computer-based methods of inference identification are presented. PMID:25833811

  12. Dynamics of carbon in deep soils inferred from carbon stable isotopes signatures : a worldwide meta-analysis

    Science.gov (United States)

    Balesdent, Jérôme; Basile-Doelsch, Isabelle; Chadoeuf, Joël; Cornu, Sophie; Derrien, Delphine; Fekiacova, Zuzana; Hatté, Christine

    2014-05-01

    to the 30-100 cm layer was estimated to 0.3 times (with 1 S.D. = 0.2 times) that to the topsoil 0-30 cm, whereas the corresponding ratio for total carbon stocks is close to 1. A multivariate analysis confirmed that the turnover rate in the topsoil is dependent on land use and mean annual temperature, and related to a lesser extent to aridity index and clay content. The relative proportion of carbon input to the subsoil is higher in croplands than in forests or grasslands, in probable accordance with the exportation of plant aerial parts as crops. We derive from this study quantitative constraints on depth-dependent mechanisms that drive carbon dynamics, such as decreasing decay rates down the depth and the magnitude of priming effects, the rate and intensity of carbon transport downwards, or the occurrence of stable C throughout the profiles. We also propose simplified expressions for the parameterization of models of carbon exchanges between deep soil organic carbon and the atmosphere.

  13. Bayesian inference as a tool for analysis of first-principles calculations of complex materials: an application to the melting point of Ti2GaN

    International Nuclear Information System (INIS)

    We present a systematic implementation of the recently developed Z-method for computing melting points of solids, augmented by a Bayesian analysis of the data obtained from molecular dynamics simulations. The use of Bayesian inference allows us to extract valuable information from limited data, reducing the computational cost of drawing the isochoric curve. From this Bayesian Z-method we obtain posterior distributions for the melting temperature Tm, the critical superheating temperature TLS and the slopes dT/dE of the liquid and solid phases. The method therefore gives full quantification of the errors in the prediction of the melting point. This procedure is applied to the estimation of the melting point of Ti2GaN (one of the so-called MAX phases), a complex, laminar material, by density functional theory molecular dynamics, finding an estimate Tm of 2591.61 ± 89.61 K, which is in good agreement with melting points of similar ceramics. (paper)

  14. Nesting Probabilistic Inference

    CERN Document Server

    Mantadelis, Theofrastos

    2011-01-01

    When doing inference in ProbLog, a probabilistic extension of Prolog, we extend SLD resolution with some additional bookkeeping. This additional information is used to compute the probabilistic results for a probabilistic query. In Prolog's SLD, goals are nested very naturally. In ProbLog's SLD, nesting probabilistic queries interferes with the probabilistic bookkeeping. In order to support nested probabilistic inference we propose the notion of a parametrised ProbLog engine. Nesting becomes possible by suspending and resuming instances of ProbLog engines. With our approach we realise several extensions of ProbLog such as meta-calls, negation, and answers of probabilistic goals.

  15. INTERNATIONAL MIGRATION LINKS OF SVERDLOVSK REGION

    OpenAIRE

    Nosov, A.

    2011-01-01

    The complex of migration links of Sverdlovsk region is considered in the article. The analysis of position of the region in the migration structure of Russian Federation and the Ural Federal district is presented based on the available literature data. An estimate of dynamics of migration processes in Sverdlovsk region is given.

  16. Underground radionuclide migration at the Nevada Test Site

    International Nuclear Information System (INIS)

    This document reviews results from a number of studies concerning underground migration of radionuclides from nuclear test cavities at the Nevada Test Site (NTS). Discussed are all cases known to the Department of Energy's Hydrology and Radionuclide Migration Program where radionuclides have been detected outside of the immediate vicinity of nuclear test cavities that are identifiable as the-source of the nuclides, as well as cases where radionuclides might have been expected and were intentionally sought but not fixed. There are nine locations where source-identifiable radionuclide migration has been detected, one where migration was purposely induced by pumping, and three where migration might be expected but was not found. In five of the nine cases of non-induced migration, the inferred migration mechanism is prompt fracture injection during detonation. In the other four cases, the inferred migration mechanism is water movement. In only a few of the reviewed cases can the actual migration mechanism be stated with confidence, and the attempt has been made to indicate the level of confidence for each case. References are cited where more information may be obtained. As an aid to future study, this document concludes with a brief discussion of the aspects of radionuclide migration that, as the present review indicates, are not yet understood. A course of action is suggested that would produce a better understanding of the phenomenon of radionuclide migration

  17. Sequential Migration, and the German Reunification

    OpenAIRE

    Birk, Angela

    2004-01-01

    The paper develops a sequential migration model and derives a worker's optimal policies for migration and employment. With the worker's simulated reservation wage functions for employment and migration, a stationary equilibrium is defined. In that equilibrium, stationary distributions of employed and unemployed stayers and movers over different states are derived. The analysis of Markov equilibria shows that mainly unemployed skilled and unskilled migrants will migrate. I have referred to thi...

  18. Inferring polymorphism-induced regulatory gene networks active in human lymphocyte cell lines by weighted linear mixed model analysis of multiple RNA-Seq datasets.

    Directory of Open Access Journals (Sweden)

    Wensheng Zhang

    Full Text Available Single-nucleotide polymorphisms (SNPs contribute to the between-individual expression variation of many genes. A regulatory (trait-associated SNP is usually located near or within a (host gene, possibly influencing the gene's transcription or/and post-transcriptional modification. But its targets may also include genes that are physically farther away from it. A heuristic explanation of such multiple-target interferences is that the host gene transfers the SNP genotypic effects to the distant gene(s by a transcriptional or signaling cascade. These connections between the host genes (regulators and the distant genes (targets make the genetic analysis of gene expression traits a promising approach for identifying unknown regulatory relationships. In this study, through a mixed model analysis of multi-source digital expression profiling for 140 human lymphocyte cell lines (LCLs and the genotypes distributed by the international HapMap project, we identified 45 thousands of potential SNP-induced regulatory relationships among genes (the significance level for the underlying associations between expression traits and SNP genotypes was set at FDR < 0.01. We grouped the identified relationships into four classes (paradigms according to the two different mechanisms by which the regulatory SNPs affect their cis- and trans- regulated genes, modifying mRNA level or altering transcript splicing patterns. We further organized the relationships in each class into a set of network modules with the cis- regulated genes as hubs. We found that the target genes in a network module were often characterized by significant functional similarity, and the distributions of the target genes in three out of the four networks roughly resemble a power-law, a typical pattern of gene networks obtained from mutation experiments. By two case studies, we also demonstrated that significant biological insights can be inferred from the identified network modules.

  19. Reliability of the Granger causality inference

    International Nuclear Information System (INIS)

    How to characterize information flows in physical, biological, and social systems remains a major theoretical challenge. Granger causality (GC) analysis has been widely used to investigate information flow through causal interactions. We address one of the central questions in GC analysis, that is, the reliability of the GC evaluation and its implications for the causal structures extracted by this analysis. Our work reveals that the manner in which a continuous dynamical process is projected or coarse-grained to a discrete process has a profound impact on the reliability of the GC inference, and different sampling may potentially yield completely opposite inferences. This inference hazard is present for both linear and nonlinear processes. We emphasize that there is a hazard of reaching incorrect conclusions about network topologies, even including statistical (such as small-world or scale-free) properties of the networks, when GC analysis is blindly applied to infer the network topology. We demonstrate this using a small-world network for which a drastic loss of small-world attributes occurs in the reconstructed network using the standard GC approach. We further show how to resolve the paradox that the GC analysis seemingly becomes less reliable when more information is incorporated using finer and finer sampling. Finally, we present strategies to overcome these inference artifacts in order to obtain a reliable GC result

  20. Making Type Inference Practical

    DEFF Research Database (Denmark)

    Schwartzbach, Michael Ignatieff; Oxhøj, Nicholas; Palsberg, Jens

    1992-01-01

    We present the implementation of a type inference algorithm for untyped object-oriented programs with inheritance, assignments, and late binding. The algorithm significantly improves our previous one, presented at OOPSLA'91, since it can handle collection classes, such as List, in a useful way. Abo...... for object-oriented languages practical....

  1. On Fuzzy Bayesian Inference

    OpenAIRE

    Frühwirth-Schnatter, Sylvia

    1990-01-01

    In the paper at hand we apply it to Bayesian statistics to obtain "Fuzzy Bayesian Inference". In the subsequent sections we will discuss a fuzzy valued likelihood function, Bayes' theorem for both fuzzy data and fuzzy priors, a fuzzy Bayes' estimator, fuzzy predictive densities and distributions, and fuzzy H.P.D .-Regions. (author's abstract)

  2. Type Inference with Inequalities

    DEFF Research Database (Denmark)

    Schwartzbach, Michael Ignatieff

    Type inference can be phrased as constraint-solving over types. We consider an implicitly typed language equipped with recursive types, multiple inheritance, 1st order parametric polymorphism, and assignments. Type correctness is expressed as satisfiability of a possibly infinite collection of (m...... can be solved by means of nondeterministic finite automata; unusually, the two problems have different complexities: polynomial vs. exponential time....

  3. Network Dependency in Migration Flows – A Space-time Analysis for Germany since Re-unification

    DEFF Research Database (Denmark)

    Mitze, Timo

    context of this paper, network dependencies are associated with correlations of migration flows strictly attributable to proximate flows in geographic space. Using the neoclassical migration model, we start from its aspatial specification and show by means of residual testing that network dependency eff...... ects are highly present. We then construct spatial weighting matrices for our system of interregional flow data and apply spatial regression techniques to properly handle the underlying space-time interrelations. Besides spatial extensions to the Blundell-Bond (1998) system GMM estimator in form of the...... equation and at the same time qualify the model to pass essential IV diagnostic tests. The basic message for future research is that space-time dynamics is highly relevant for modelling German internal migration flows....

  4. Defining element associations and inferring geological processes from total element concentrations in Australian catchment outlet sediments: Multivariate analysis of continental-scale geochemical data

    International Nuclear Information System (INIS)

    Highlights: ► Australia-wide geochemical dataset of catchment outlet sediments covers 6 M km2. ► Total element concentrations analysed by PCA after imputation and clr-transformation. ► Four first PCs account for 59% of variance. ► Element associations show lithology, weathering, etc. control regolith composition. ► Maps of PC distributions relate to ground, airborne and spaceborne datasets. - Abstract: In this paper, the geochemical composition of surficial regolith is statistically analysed and compared to independent geoscientific datasets to infer processes governing regolith composition. Surface (0–10 cm depth) and sub-surface (∼60–80 cm depth) transported sediment samples from the National Geochemical Survey of Australia were analysed for total element content in both coarse (<2 mm) and fine (<75 μm) grain-size fractions. Multi-element total content data was obtained from mainly XRF and total digestion ICP-MS analysis, of which the 50 elements satisfying data quality criteria, plus Loss on Ignition, are used herein. Censored data (analysis. The compositional data was transformed using centered log ratios (clr) to circumvent closure issues. A Principal Component Analysis (PCA) was then performed on the dataset. The first four PCs account for 59% of the variance in the dataset. Both negative and positive loadings of each of these PCs relate to geological processes consistent with the element associations they represent as well as the spatial distribution patterns they produce. The positive loadings of PC1 represent the accumulation of resistant minerals rich in Rare Earth Elements (REEs) that results from intense weathering, except in southeastern Australia where they reflect REE-enriched igneous and sedimentary rocks. Negative PC1 loadings represent secondary minerals formed during weathering (carbonates, sulfates, Fe-oxyhydroxides). Negative PC2 loadings are a mixture of

  5. A well-sampled phylogenetic analysis of the polystichoid ferns (Dryopteridaceae) suggests a complex biogeographical history involving both boreotropical migrations and recent transoceanic dispersals.

    Science.gov (United States)

    Le Péchon, Timothée; Zhang, Liang; He, Hai; Zhou, Xin-Mao; Bytebier, Benny; Gao, Xin-Fen; Zhang, Li-Bing

    2016-05-01

    Intercontinental disjunctions in ferns have often been considered as the result of long-distance dispersal (LDD) events rather than of vicariance. However, in many leptosporangiate groups, both processes appear to have played a major role in shaping current geographical distribution. In this study, we reconstructed the phylogenetic relationships and inferred the ancestral distribution areas of the polystichoid ferns (Cyrtomium, Phanerophlebia, and Polystichum), to evaluate the relative impact of vicariance and LDD on the biogeography of this group. We used a molecular dataset including 3346 characters from five plastid loci. With 190 accessions our taxon coverage was about three times as large as any previous worldwide sampling. Biogeographical analyses were performed using S-DIVA and S-DEC and divergence times were estimated by integrating fossil and secondary calibrations. The polystichoid ferns are a monophyletic clade that may have originated in East Asia during the Eocene, an age much younger than previously estimated. Three transoceanic disjunctions between East Asia and New World were identified in the Paleogene: one for Phanerophlebia during late Eocene (34Ma, 19-51Ma), and two in Polystichum at the Eocene-Oligocene boundary (30Ma, 18-43Ma; 28Ma, 19-39Ma respectively). During the Neogene, further range expansions took place from Asia to Africa, Hawaii, and the Southwestern Indian Ocean region. Our results indicate that early transfers between the Old and the New World are compatible with a boreotropical migration scenario. After evolving in Asia during the Eocene, the polystichoid ferns reached the New World in independent migrations at the Eocene-Oligocene boundary through the boreotropical belt. However, although less likely, the alternative hypothesis of independent transoceanic dispersals from the Old to the New World cannot be ruled out. Further range expansion during the Neogene was most likely the result of long-distance dispersal (LDD). PMID

  6. Dispersal and migration

    Directory of Open Access Journals (Sweden)

    Schwarz, C.

    2004-06-01

    Full Text Available Ringing of birds unveiled many aspects of avian migration and dispersal movements. However, there is even much more to be explored by the use of ringing and other marks. Dispersal is crucial in understanding the initial phase of migration in migrating birds as it is to understand patterns and processes of distribution and gene flow. So far, the analysis of migration was largely based on analysing spatial and temporal patters of recoveries of ringed birds. However, there are considerable biases and pitfalls in using recoveries due to spatial and temporal variation in reporting probabilities. Novel methods are required for future studies separating the confounding effects of spatial and temporal heterogeneity of recovery data and heterogeneity of the landscape as well. These novel approaches should aim a more intensive and novel use of the existing recovery data by taking advantage of, for instance, dynamic and multistate modeling, should elaborate schemes for future studies, and should also include other marks that allow a more rapid data collection, like telemetry, geolocation and global positioning systems, and chemical and molecular markers. The latter appear to be very useful in the delineating origin of birds and connectivity between breeding and non–breeding grounds. Many studies of migration are purely descriptive. However, King and Brooks (King & Brooks, 2004 examine if movement patterns of dolphins change after the introduction of a gillnet ban. Bayesian methods are an interesting approach to this problem as they provide a meaningful measure of the probability that such a change occurred rather than simple yes/no response that is often the result of classical statistical methods. However, the key difficulty of a general implementation of Bayesian methods is the complexity of the modelling —there is no general userfriendly package that is easily accessible to most scientists. Drake and Alisauskas (Drake & Alisauskas, 2004 examine the

  7. EU Migration Policy

    OpenAIRE

    Kleinschmidt, Harald

    2004-01-01

    I shall confine myself in this paper to international migration as migration across international borders.I do so despite the fact that,still today,international migration accounts only for a small share of migration at large.Likewise,I shall deal widh voluntary migration and shall thus exclude,deportation ...

  8. Analysis of in vitro lymphocyte adhesion and transendothelial migration by fluorescent-beads-based flow cytometric cell counting

    NARCIS (Netherlands)

    Molema, Ingrid; Mesander, G; Kroesen, Bart-Jan; Helfrich, Wijnand; Meijer, D.K F; de Leij, Lou

    1998-01-01

    In this report, we describe a new and simple method for flow cytometric quantitation of lymphocyte numbers in lymphocute-endothelial adhesion/transendothelial migration assays. The method exploits fluorescent flow cytometer alignment beads as a counting reference. Known amounts of beads are added to

  9. San Francisco Estuary Striped Bass Migration History Determined by Electron-microprobe Analysis of Otolith Sr/Ca Ratio

    Energy Technology Data Exchange (ETDEWEB)

    Ostrach, D J; Phillis, C C; Weber, P K; Ingram, B L; Zinkl, J G

    2004-09-17

    Habitat use has been shown to be an important factor in the bioaccumulation of contaminants in striped bass. This study examines migration in striped bass as part of a larger study investigating bioaccumulation and maternal transfer of xenobiotics to progeny in the San Francisco Estuary system. Habitat use, residence time and spawning migration over the life of females (n = 23) was studied. Female striped bass were collected between Knights Landing and Colusa on the Sacramento River during the spawning runs of 1999 and 2001. Otoliths were removed, processed and aged via otolith microstructure. Subsequently, otoliths were analyzed for strontium/calcium (Sr/Ca) ratio using an electron-microprobe to measure salinity exposure and to distinguish freshwater, estuary, and marine habitat use. Salinity exposure during the last year before capture was examined more closely for comparison of habitat use by the maternal parent to contaminant burden transferred to progeny. Results were selectively confirmed by ion microprobe analyses for habitat use. The Sr/Ca data demonstrate a wide range of migratory patterns. Age of initial ocean entry differs among individuals before returning to freshwater, presumably to spawn. Some fish reside in freshwater year-round, while others return to more saline habitats and make periodic migrations to freshwater. Frequency of habitat shifts and residence times differs among fish, as well as over the lifetime of individual fish. While at least one fish spent its final year in freshwater, the majority of spawning fish spent their final year in elevated salinity. However, not all fish migrated to freshwater to spawn in the previous year. Results from this investigation concerning migration history in striped bass can be combined with contaminant and histological developmental analyses to better understand the bioaccumulation of contaminants and the subsequent effects they and habitat use have on fish populations in the San Francisco Estuary system.

  10. Migration and Narration

    Directory of Open Access Journals (Sweden)

    Brigitte Boenisch-Brednich

    2002-05-01

    Full Text Available The following article aims to work out the main narrative techniques of “telling migration”. The conclusions drawn on the subject of migration and narration are based on a one-year field work study, combining participant observation with interviewing. This study took place in New Zealand concentrating on German immigrants between 1936 and 1996. The main source for my analysis given in this paper is provided by 102 people I interviewed. The texts of these biographically-focussed interviews allowed me to work not only on an ethnographical history of migration but also to gain insights into peoples’ experiences, and over and above that, to learn what kind of stories and techniques of storytelling emigration creates. The book focuses on a comparatively wide time frame of sixty years (Boenisch- Brednich 2001. This makes it possible to analyse very different periods of migration and groups of migrants, contrasting social categories as well as exploring differences in education, milieu, age and gender. Furthermore, it becomes obvious that although all migrants were leaving Germany and arriving in New Zealand, they experienced what were in effect very different countries through time – different Germanys, different New Zealands. To work out the changing reasons for migrating (work migration, refuge, global lifestyle, etc. inside western societies is a major theme the book is aiming for. A second approach is to investigate migration from the perspective of focussing on everyday life, an investigation on the basis of personal experiences, such as “work, housing, food, celebrations, social life”. A special focus is set on the analysing of “mental narratives” as key stories, examples, comparatives etc. The central questions of this project were: What kind of strategies do people use to cope with a major changes in their biography, as constituted by emigration? What does integration really mean and how does it work for different groups? What

  11. Subjectivity in inductive inference

    OpenAIRE

    Gilboa, Itzhak; Samuelson, Larry

    2012-01-01

    Working Papers - Yale School of Management's Economics Research Network International audience This paper examines circumstances under which subjectivity enhances the effectiveness of inductive reasoning. We consider a game in which Fate chooses a data generating process and agents are characterized by inference rules that may be purely objective (or data-based) or may incorporate subjective considerations. The basic intuition is that agents who invoke no subjective considerations are d...

  12. Foundations of Inference

    OpenAIRE

    Kevin H. Knuth; John Skilling

    2012-01-01

    We present a simple and clear foundation for finite inference that unites and significantly extends the approaches of Kolmogorov and Cox. Our approach is based on quantifying lattices of logical statements in a way that satisfies general lattice symmetries. With other applications such as measure theory in mind, our derivations assume minimal symmetries, relying on neither negation nor continuity nor differentiability. Each relevant symmetry corresponds to an axiom of quantification, and thes...

  13. Noun/Verb Inference

    OpenAIRE

    Bedaride, Paul; Gardent, Claire

    2009-01-01

    We present a system which combines logical inference with a semantic calculus producing normalised semantic representations that are robust to surface dierences which are irrelevant for entailment detection. We focus on the detection of entailment relations between sentence pairs involving noun/verb alternations and we show that the system correctly predicts a range of interactions between basic noun/verb predications and semantic phenomena such as quantication, negation and non factive conte...

  14. InSAR Analysis of the 2011 Hawthorne (Nevada) Earthquake Swarm: Implications of Earthquake Migration and Stress Transfer

    Science.gov (United States)

    Zha, X.; Dai, Z.; Lu, Z.

    2015-12-01

    The 2011 Hawthorne earthquake swarm occurred in the central Walker Lane zone, neighboring the border between California and Nevada. The swarm included an Mw 4.4 on April 13, Mw 4.6 on April 17, and Mw 3.9 on April 27. Due to the lack of the near-field seismic instrument, it is difficult to get the accurate source information from the seismic data for these moderate-magnitude events. ENVISAT InSAR observations captured the deformation mainly caused by three events during the 2011 Hawthorne earthquake swarm. The surface traces of three seismogenic sources could be identified according to the local topography and interferogram phase discontinuities. The epicenters could be determined using the interferograms and the relocated earthquake distribution. An apparent earthquake migration is revealed by InSAR observations and the earthquake distribution. Analysis and modeling of InSAR data show that three moderate magnitude earthquakes were produced by slip on three previously unrecognized faults in the central Walker Lane. Two seismogenic sources are northwest striking, right-lateral strike-slip faults with some thrust-slip components, and the other source is a northeast striking, thrust-slip fault with some strike-slip components. The former two faults are roughly parallel to each other, and almost perpendicular to the latter one. This special spatial correlation between three seismogenic faults and nature of seismogenic faults suggest the central Walker Lane has been undergoing southeast-northwest horizontal compressive deformation, consistent with the region crustal movement revealed by GPS measurement. The Coulomb failure stresses on the fault planes were calculated using the preferred slip model and the Coulomb 3.4 software package. For the Mw4.6 earthquake, the Coulomb stress change caused by the Mw4.4 event increased by ~0.1 bar. For the Mw3.9 event, the Coulomb stress change caused by the Mw4.6 earthquake increased by ~1.0 bar. This indicates that the preceding

  15. Active inference and learning.

    Science.gov (United States)

    Friston, Karl; FitzGerald, Thomas; Rigoli, Francesco; Schwartenbeck, Philipp; O'Doherty, John; Pezzulo, Giovanni

    2016-09-01

    This paper offers an active inference account of choice behaviour and learning. It focuses on the distinction between goal-directed and habitual behaviour and how they contextualise each other. We show that habits emerge naturally (and autodidactically) from sequential policy optimisation when agents are equipped with state-action policies. In active inference, behaviour has explorative (epistemic) and exploitative (pragmatic) aspects that are sensitive to ambiguity and risk respectively, where epistemic (ambiguity-resolving) behaviour enables pragmatic (reward-seeking) behaviour and the subsequent emergence of habits. Although goal-directed and habitual policies are usually associated with model-based and model-free schemes, we find the more important distinction is between belief-free and belief-based schemes. The underlying (variational) belief updating provides a comprehensive (if metaphorical) process theory for several phenomena, including the transfer of dopamine responses, reversal learning, habit formation and devaluation. Finally, we show that active inference reduces to a classical (Bellman) scheme, in the absence of ambiguity. PMID:27375276

  16. Comparative feeding ecology of bull sharks (Carcharhinus leucas) in the coastal waters of the southwest Indian Ocean inferred from stable isotope analysis.

    Science.gov (United States)

    Daly, Ryan; Froneman, Pierre W; Smale, Malcolm J

    2013-01-01

    As apex predators, sharks play an important role shaping their respective marine communities through predation and associated risk effects. Understanding the predatory dynamics of sharks within communities is, therefore, necessary to establish effective ecologically based conservation strategies. We employed non-lethal sampling methods to investigate the feeding ecology of bull sharks (Carcharhinus leucas) using stable isotope analysis within a subtropical marine community in the southwest Indian Ocean. The main objectives of this study were to investigate and compare the predatory role that sub-adult and adult bull sharks play within a top predatory teleost fish community. Bull sharks had significantly broader niche widths compared to top predatory teleost assemblages with a wide and relatively enriched range of δ(13)C values relative to the local marine community. This suggests that bull sharks forage from a more diverse range of δ(13)C sources over a wider geographical range than the predatory teleost community. Adult bull sharks appeared to exhibit a shift towards consistently higher trophic level prey from an expanded foraging range compared to sub-adults, possibly due to increased mobility linked with size. Although predatory teleost fish are also capable of substantial migrations, bull sharks may have the ability to exploit a more diverse range of habitats and appeared to prey on a wider diversity of larger prey. This suggests that bull sharks play an important predatory role within their respective marine communities and adult sharks in particular may shape and link ecological processes of a variety of marine communities over a broad range. PMID:24205168

  17. Comparative feeding ecology of bull sharks (Carcharhinus leucas in the coastal waters of the southwest Indian Ocean inferred from stable isotope analysis.

    Directory of Open Access Journals (Sweden)

    Ryan Daly

    Full Text Available As apex predators, sharks play an important role shaping their respective marine communities through predation and associated risk effects. Understanding the predatory dynamics of sharks within communities is, therefore, necessary to establish effective ecologically based conservation strategies. We employed non-lethal sampling methods to investigate the feeding ecology of bull sharks (Carcharhinus leucas using stable isotope analysis within a subtropical marine community in the southwest Indian Ocean. The main objectives of this study were to investigate and compare the predatory role that sub-adult and adult bull sharks play within a top predatory teleost fish community. Bull sharks had significantly broader niche widths compared to top predatory teleost assemblages with a wide and relatively enriched range of δ(13C values relative to the local marine community. This suggests that bull sharks forage from a more diverse range of δ(13C sources over a wider geographical range than the predatory teleost community. Adult bull sharks appeared to exhibit a shift towards consistently higher trophic level prey from an expanded foraging range compared to sub-adults, possibly due to increased mobility linked with size. Although predatory teleost fish are also capable of substantial migrations, bull sharks may have the ability to exploit a more diverse range of habitats and appeared to prey on a wider diversity of larger prey. This suggests that bull sharks play an important predatory role within their respective marine communities and adult sharks in particular may shape and link ecological processes of a variety of marine communities over a broad range.

  18. Continuous Integrated Invariant Inference Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The proposed project will develop a new technique for invariant inference and embed this and other current invariant inference and checking techniques in an...

  19. Neuronal Migration Disorders

    Science.gov (United States)

    ... Enhancing Diversity Find People About NINDS NINDS Neuronal Migration Disorders Information Page Table of Contents (click to ... being done? Clinical Trials Organizations What are Neuronal Migration Disorders? Neuronal migration disorders (NMDs) are a group ...

  20. Migration of birds

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report covers the migration of birds. Topics covered include why birds migrate, when birds migrate, speed, altitude, courses, distance, major flyways and...

  1. Research on Protocol Migration

    Institute of Scientific and Technical Information of China (English)

    汪芸; 顾冠群; 等

    1996-01-01

    This paper elaborates the concept and model of protocol migration in network interconnection.Migration strategies and principles are discussed and several cases are studied in detail which show the basic procedure and techniques used in protocol migration.

  2. Migration and its implications for urban development.

    Science.gov (United States)

    Choguill, C L

    1983-01-01

    Four theoretical concepts frequently found in the migration literature are critically analyzed by applying them to the study of migration and urbanization patterns in Bangladesh. The theoretical concepts considered include the socioeconomic approach, the rural development approach, an approach based on the sexually selective nature of migration flows, and the primary event approach. The restricted validity of these theories for explaining migration patterns in Bangladesh is demonstrated, and a case is made for taking a broader approach to migration analysis. Comments by Jacques Ledent (pp. 82-4), Ingvar Holmberg (pp. 85-8), and Frans J. Willekens (p. 89) are included. PMID:12312867

  3. Outer divertor of ASDEX Upgrade in low-density L-mode discharges in forward and reversed magnetic field: II. Analysis of local impurity migration

    International Nuclear Information System (INIS)

    Part I (Aho-Mantila L. et al 2012 Nucl. Fusion 52 103006) presented a detailed analysis of outer divertor plasma conditions in low-density L-mode discharges in ASDEX Upgrade. In this paper, we analyse the local migration of carbon that originates from 13CH4 injected into these plasmas from the vertical outer target. Notable changes are observed in the local carbon deposition patterns when reversing the magnetic field in the experiments. Kinetic impurity-following simulations are performed using the 3D ERO code package with 2D background plasma solutions calculated with the SOLPS5.0 code package. The modelling shows that the measured changes are due to the changes in plasma collisionality, dissociation and ionization rates, and E × B drift of the impurities. These conditions affect the direction and rate of impurity migration inside and out of the divertor, having wider consequences on the global migration of impurities in a divertor tokamak. It is further shown that the migration pathways are largely determined by carbon ions and, hence, relevant for impurities in general. Neutral carbon and hydrocarbons are deposited only in the near vicinity of the injection, where they affect the local re-deposition efficiency. In this limited region, a perturbation of the local plasma conditions by the methane puff appears likely, yielding a significant uncertainty for interpreting the deposition efficiencies. The local deposition is largely influenced by the magnetic presheath electric field, the structure of which is the main uncertainty in the SOLPS5.0-ERO simulations. (paper)

  4. sick: The Spectroscopic Inference Crank

    Science.gov (United States)

    Casey, Andrew R.

    2016-03-01

    There exists an inordinate amount of spectral data in both public and private astronomical archives that remain severely under-utilized. The lack of reliable open-source tools for analyzing large volumes of spectra contributes to this situation, which is poised to worsen as large surveys successively release orders of magnitude more spectra. In this article I introduce sick, the spectroscopic inference crank, a flexible and fast Bayesian tool for inferring astrophysical parameters from spectra. sick is agnostic to the wavelength coverage, resolving power, or general data format, allowing any user to easily construct a generative model for their data, regardless of its source. sick can be used to provide a nearest-neighbor estimate of model parameters, a numerically optimized point estimate, or full Markov Chain Monte Carlo sampling of the posterior probability distributions. This generality empowers any astronomer to capitalize on the plethora of published synthetic and observed spectra, and make precise inferences for a host of astrophysical (and nuisance) quantities. Model intensities can be reliably approximated from existing grids of synthetic or observed spectra using linear multi-dimensional interpolation, or a Cannon-based model. Additional phenomena that transform the data (e.g., redshift, rotational broadening, continuum, spectral resolution) are incorporated as free parameters and can be marginalized away. Outlier pixels (e.g., cosmic rays or poorly modeled regimes) can be treated with a Gaussian mixture model, and a noise model is included to account for systematically underestimated variance. Combining these phenomena into a scalar-justified, quantitative model permits precise inferences with credible uncertainties on noisy data. I describe the common model features, the implementation details, and the default behavior, which is balanced to be suitable for most astronomical applications. Using a forward model on low-resolution, high signal

  5. Bounds analysis of competing risks: a nonparametric evaluation of the effect of unemployment benefits on migration in Germany

    OpenAIRE

    Arntz, Melanie; Simon M.S. Lo; Wilke, Ralf A.

    2007-01-01

    "In this paper we derive nonparametric bounds for the cumulative incidence curve within a competing risks model with partly identified interval data. As an advantage over earlier attempts our approach also gives valid results in case of dependent competing risks. We apply our framework to empirically evaluate the effect of unemployment benefits on observed migration of unemployed workers in Germany. Our findings weakly indicate that reducing the entitlement length for unemployment benefits in...

  6. Determinants of social inequalities in selfrated health: analysis at the intersection of gender, class and migration type

    OpenAIRE

    Malmusi, Davide

    2012-01-01

    This dissertation aims to describe social inequalities in self-rated health in an integrated framework of gender, social class and immigration, and to identify the main intermediary factors and health problems that contribute to these inequalities. Three cross-sectional studies were performed with data from surveys of the general population residing in Catalonia and Spain in 2006. Migration from poor regions of Spain to Catalonia emerged as a health inequality dimension in addition to and int...

  7. [A study on feeding ecology and migration patterns of Dosidicus gigas off Peru using stable isotope analysis].

    Science.gov (United States)

    Gong, Yi; Chen, Xin-jun; Li, Yun-kai; Han, Meng-jie

    2015-09-01

    As a pelagic cephalopod and one of the main target species of Chinese distant water fishery, jumbo squids (Dosidicus gigas) play a major role in the marine ecosystems of the eastern Pacific. Understanding the feeding ecology and migration patterns of jumbo squids is of importance for better utilizing the resources. The isotopic signatures of gladius, have been proved to be a powerful tool to reveal high resolution and ontogenic variations in individual foraging strategies of squids; which is an archival tissue with no elemental turnover after formation. In this study, the growth equation of gladius proostracum was established based on the age information determined by statolith. Gladius was cut successionally by the growth curve of gladius proostracum, the stable isotopic values of the gladius profiles were determined, and the feeding ecology and migration patterns of jumbo squids during its growth process were investigated. Results showed that the jumbo squids began to migrate after 180 days of postnatal, and their trophic levels tended to decrease throughout the life span. These results demonstrated the feasibility of using continuous sampling hard tissue to study the feeding ecology and habitat transfer of jumbo squids. PMID:26785574

  8. Inferring deterministic causal relations

    OpenAIRE

    Daniusis, Povilas; Janzing, Dominik; Mooij, Joris; Zscheischler, Jakob; Steudel, Bastian; Zhang, Kun; Schoelkopf, Bernhard

    2012-01-01

    We consider two variables that are related to each other by an invertible function. While it has previously been shown that the dependence structure of the noise can provide hints to determine which of the two variables is the cause, we presently show that even in the deterministic (noise-free) case, there are asymmetries that can be exploited for causal inference. Our method is based on the idea that if the function and the probability density of the cause are chosen independently, then the ...

  9. Generic patch inference

    DEFF Research Database (Denmark)

    Andersen, Jesper; Lawall, Julia

    2010-01-01

    A key issue in maintaining Linux device drivers is the need to keep them up to date with respect to evolutions in Linux internal libraries. Currently, there is little tool support for performing and documenting such changes. In this paper we present a tool, spdiff, that identifies common changes...... developers can use it to extract an abstract representation of the set of changes that others have made. Our experiments on recent changes in Linux show that the inferred generic patches are more concise than the corresponding patches found in commits to the Linux source tree while being safe with respect to...

  10. Nonparametric statistical inference

    CERN Document Server

    Gibbons, Jean Dickinson

    2010-01-01

    Overall, this remains a very fine book suitable for a graduate-level course in nonparametric statistics. I recommend it for all people interested in learning the basic ideas of nonparametric statistical inference.-Eugenia Stoimenova, Journal of Applied Statistics, June 2012… one of the best books available for a graduate (or advanced undergraduate) text for a theory course on nonparametric statistics. … a very well-written and organized book on nonparametric statistics, especially useful and recommended for teachers and graduate students.-Biometrics, 67, September 2011This excellently presente

  11. Foundations of Inference

    Directory of Open Access Journals (Sweden)

    Kevin H. Knuth

    2012-06-01

    Full Text Available We present a simple and clear foundation for finite inference that unites and significantly extends the approaches of Kolmogorov and Cox. Our approach is based on quantifying lattices of logical statements in a way that satisfies general lattice symmetries. With other applications such as measure theory in mind, our derivations assume minimal symmetries, relying on neither negation nor continuity nor differentiability. Each relevant symmetry corresponds to an axiom of quantification, and these axioms are used to derive a unique set of quantifying rules that form the familiar probability calculus. We also derive a unique quantification of divergence, entropy and information.

  12. [International migration: backgrounds and developments].

    Science.gov (United States)

    De Beer, J

    1997-03-01

    "Net migration [in the Netherlands] has fluctuated strongly during the past decades. In 1983 net migration (including net administrative corrections) was almost zero. In the early 1990s net migration rose to almost 50 thousand per year. In 1994 net migration dropped sharply to a level of 20 thousand, followed by a further decrease in 1995. In 1996 there was a moderate increase. One cause of the strong decline in immigration in the mid-1990s may be the increasingly strict immigration policy. Another explanation of fluctuations in immigration is the business cycle. A regression analysis for the period 1973-1995 shows that there is a negative relationship between immigration of non-Dutch nationals and the unemployment rate in the Netherlands and a positive relationship between emigration and the unemployment rate." (EXCERPT) PMID:12321085

  13. Inference of Isoforms from Short Sequence Reads

    Science.gov (United States)

    Feng, Jianxing; Li, Wei; Jiang, Tao

    Due to alternative splicing events in eukaryotic species, the identification of mRNA isoforms (or splicing variants) is a difficult problem. Traditional experimental methods for this purpose are time consuming and cost ineffective. The emerging RNA-Seq technology provides a possible effective method to address this problem. Although the advantages of RNA-Seq over traditional methods in transcriptome analysis have been confirmed by many studies, the inference of isoforms from millions of short sequence reads (e.g., Illumina/Solexa reads) has remained computationally challenging. In this work, we propose a method to calculate the expression levels of isoforms and infer isoforms from short RNA-Seq reads using exon-intron boundary, transcription start site (TSS) and poly-A site (PAS) information. We first formulate the relationship among exons, isoforms, and single-end reads as a convex quadratic program, and then use an efficient algorithm (called IsoInfer) to search for isoforms. IsoInfer can calculate the expression levels of isoforms accurately if all the isoforms are known and infer novel isoforms from scratch. Our experimental tests on known mouse isoforms with both simulated expression levels and reads demonstrate that IsoInfer is able to calculate the expression levels of isoforms with an accuracy comparable to the state-of-the-art statistical method and a 60 times faster speed. Moreover, our tests on both simulated and real reads show that it achieves a good precision and sensitivity in inferring isoforms when given accurate exon-intron boundary, TSS and PAS information, especially for isoforms whose expression levels are significantly high.

  14. Inferring horizontal gene transfer.

    Directory of Open Access Journals (Sweden)

    Matt Ravenhall

    2015-05-01

    Full Text Available Horizontal or Lateral Gene Transfer (HGT or LGT is the transmission of portions of genomic DNA between organisms through a process decoupled from vertical inheritance. In the presence of HGT events, different fragments of the genome are the result of different evolutionary histories. This can therefore complicate the investigations of evolutionary relatedness of lineages and species. Also, as HGT can bring into genomes radically different genotypes from distant lineages, or even new genes bearing new functions, it is a major source of phenotypic innovation and a mechanism of niche adaptation. For example, of particular relevance to human health is the lateral transfer of antibiotic resistance and pathogenicity determinants, leading to the emergence of pathogenic lineages. Computational identification of HGT events relies upon the investigation of sequence composition or evolutionary history of genes. Sequence composition-based ("parametric" methods search for deviations from the genomic average, whereas evolutionary history-based ("phylogenetic" approaches identify genes whose evolutionary history significantly differs from that of the host species. The evaluation and benchmarking of HGT inference methods typically rely upon simulated genomes, for which the true history is known. On real data, different methods tend to infer different HGT events, and as a result it can be difficult to ascertain all but simple and clear-cut HGT events.

  15. Social Physics and China's Population Migration

    Science.gov (United States)

    Wang, Yun-Lin; Li, Ding

    Based on the social physics theory, this paper analyzes the economic disparities between different regions in China, and contributes a conceptual model of population migration among eastern, central, western and north-eastern regions. The national 1% population sample investigation data is adopted to build a network of inter-provincial population migration, and the population migration network is analyzed with social network analysis. The results are shown that there is a very strong correlation between migrant population and economy disparity in China, and the migration with obviously geographical characteristics. The eastern region is the main areas for migration-inflow; the central region is the main areas of migration-outflow; the western region is relatively “locked-up”, with a little of population flow; and the migration of the northeast is mainly within its own regional territory.

  16. Development and using radio analytical methods for the analysis of migration forms of pollutants in the main river waters of Central Asia

    International Nuclear Information System (INIS)

    Full text: Solution of problems of monitoring and protection, and rational using of river waters requires studying of space-temporarily distribution and migrations of pollutants, such as heavy metals (HM). It is also important to have exact information about forms of being HM because their fate, behavior, migration, and their toxic property are connected with their physic-chemical forms. But not enough sensitivity and accuracy of many physic-chemical methods of analysis requires necessity of developing and using of high-sensitive and multi-component methods of determination of contents and migration forms of HM in nature and sewage waters. Studying of migration forms of HM in the river waters was conducted by the following scheme: Neutron-activation analysis of divided fractions of separate forms of HM; experimental modeling by using of appropriate radio nuclides and thermodynamic modeling methods. There was developed and used neutron-activation method for getting quantitative data about forms of being HM in water. The ultra-filtration and electro-dialysis fractionating and concentrating of separate forms of HM was carried out before neutron activation analyses. There were established optimal conditions of division form of being of HM by using radionuclides 60Co, 51Cr and 124Sb in cationic and anionic forms. During 2003-2005 we have studied space-temporarily variations of content and phase distribution of Hg, Zn, Cd, Sb, Co, Th, Br, Cr, Au, La and Eu in the waters of Amudarya, Syrdarya and Surkhandarya rivers. Average concentration of HM fluctuates from 4.1 mg/l for Fe, till 2 ng/l for Au. Suspended composing of river waters makes from mountain rock and lands in river-heads and concentration of elements in weight form not exceeding the level of chalk's contents. In formation of solved phase of river water main role plays atmospheric precipitation. This fact concern to the technogenic elements (Hg, Cd, Zn, Sb, Cr, Se, V) mainly. Limits of determination of HM - 10

  17. Deep Learning for Population Genetic Inference.

    Directory of Open Access Journals (Sweden)

    Sara Sheehan

    2016-03-01

    Full Text Available Given genomic variation data from multiple individuals, computing the likelihood of complex population genetic models is often infeasible. To circumvent this problem, we introduce a novel likelihood-free inference framework by applying deep learning, a powerful modern technique in machine learning. Deep learning makes use of multilayer neural networks to learn a feature-based function from the input (e.g., hundreds of correlated summary statistics of data to the output (e.g., population genetic parameters of interest. We demonstrate that deep learning can be effectively employed for population genetic inference and learning informative features of data. As a concrete application, we focus on the challenging problem of jointly inferring natural selection and demography (in the form of a population size change history. Our method is able to separate the global nature of demography from the local nature of selection, without sequential steps for these two factors. Studying demography and selection jointly is motivated by Drosophila, where pervasive selection confounds demographic analysis. We apply our method to 197 African Drosophila melanogaster genomes from Zambia to infer both their overall demography, and regions of their genome under selection. We find many regions of the genome that have experienced hard sweeps, and fewer under selection on standing variation (soft sweep or balancing selection. Interestingly, we find that soft sweeps and balancing selection occur more frequently closer to the centromere of each chromosome. In addition, our demographic inference suggests that previously estimated bottlenecks for African Drosophila melanogaster are too extreme.

  18. Hierarchical cosmic shear power spectrum inference

    Science.gov (United States)

    Alsing, Justin; Heavens, Alan; Jaffe, Andrew H.; Kiessling, Alina; Wandelt, Benjamin; Hoffmann, Till

    2016-02-01

    We develop a Bayesian hierarchical modelling approach for cosmic shear power spectrum inference, jointly sampling from the posterior distribution of the cosmic shear field and its (tomographic) power spectra. Inference of the shear power spectrum is a powerful intermediate product for a cosmic shear analysis, since it requires very few model assumptions and can be used to perform inference on a wide range of cosmological models a posteriori without loss of information. We show that joint posterior for the shear map and power spectrum can be sampled effectively by Gibbs sampling, iteratively drawing samples from the map and power spectrum, each conditional on the other. This approach neatly circumvents difficulties associated with complicated survey geometry and masks that plague frequentist power spectrum estimators, since the power spectrum inference provides prior information about the field in masked regions at every sampling step. We demonstrate this approach for inference of tomographic shear E-mode, B-mode and EB-cross power spectra from a simulated galaxy shear catalogue with a number of important features; galaxies distributed on the sky and in redshift with photometric redshift uncertainties, realistic random ellipticity noise for every galaxy and a complicated survey mask. The obtained posterior distributions for the tomographic power spectrum coefficients recover the underlying simulated power spectra for both E- and B-modes.

  19. Deep Learning for Population Genetic Inference.

    Science.gov (United States)

    Sheehan, Sara; Song, Yun S

    2016-03-01

    Given genomic variation data from multiple individuals, computing the likelihood of complex population genetic models is often infeasible. To circumvent this problem, we introduce a novel likelihood-free inference framework by applying deep learning, a powerful modern technique in machine learning. Deep learning makes use of multilayer neural networks to learn a feature-based function from the input (e.g., hundreds of correlated summary statistics of data) to the output (e.g., population genetic parameters of interest). We demonstrate that deep learning can be effectively employed for population genetic inference and learning informative features of data. As a concrete application, we focus on the challenging problem of jointly inferring natural selection and demography (in the form of a population size change history). Our method is able to separate the global nature of demography from the local nature of selection, without sequential steps for these two factors. Studying demography and selection jointly is motivated by Drosophila, where pervasive selection confounds demographic analysis. We apply our method to 197 African Drosophila melanogaster genomes from Zambia to infer both their overall demography, and regions of their genome under selection. We find many regions of the genome that have experienced hard sweeps, and fewer under selection on standing variation (soft sweep) or balancing selection. Interestingly, we find that soft sweeps and balancing selection occur more frequently closer to the centromere of each chromosome. In addition, our demographic inference suggests that previously estimated bottlenecks for African Drosophila melanogaster are too extreme. PMID:27018908

  20. Statistical inference based on divergence measures

    CERN Document Server

    Pardo, Leandro

    2005-01-01

    The idea of using functionals of Information Theory, such as entropies or divergences, in statistical inference is not new. However, in spite of the fact that divergence statistics have become a very good alternative to the classical likelihood ratio test and the Pearson-type statistic in discrete models, many statisticians remain unaware of this powerful approach.Statistical Inference Based on Divergence Measures explores classical problems of statistical inference, such as estimation and hypothesis testing, on the basis of measures of entropy and divergence. The first two chapters form an overview, from a statistical perspective, of the most important measures of entropy and divergence and study their properties. The author then examines the statistical analysis of discrete multivariate data with emphasis is on problems in contingency tables and loglinear models using phi-divergence test statistics as well as minimum phi-divergence estimators. The final chapter looks at testing in general populations, prese...

  1. Statistical inference for financial engineering

    CERN Document Server

    Taniguchi, Masanobu; Ogata, Hiroaki; Taniai, Hiroyuki

    2014-01-01

    This monograph provides the fundamentals of statistical inference for financial engineering and covers some selected methods suitable for analyzing financial time series data. In order to describe the actual financial data, various stochastic processes, e.g. non-Gaussian linear processes, non-linear processes, long-memory processes, locally stationary processes etc. are introduced and their optimal estimation is considered as well. This book also includes several statistical approaches, e.g., discriminant analysis, the empirical likelihood method, control variate method, quantile regression, realized volatility etc., which have been recently developed and are considered to be powerful tools for analyzing the financial data, establishing a new bridge between time series and financial engineering. This book is well suited as a professional reference book on finance, statistics and statistical financial engineering. Readers are expected to have an undergraduate-level knowledge of statistics.

  2. Structural inference for uncertain networks

    Science.gov (United States)

    Martin, Travis; Ball, Brian; Newman, M. E. J.

    2016-01-01

    In the study of networked systems such as biological, technological, and social networks the available data are often uncertain. Rather than knowing the structure of a network exactly, we know the connections between nodes only with a certain probability. In this paper we develop methods for the analysis of such uncertain data, focusing particularly on the problem of community detection. We give a principled maximum-likelihood method for inferring community structure and demonstrate how the results can be used to make improved estimates of the true structure of the network. Using computer-generated benchmark networks we demonstrate that our methods are able to reconstruct known communities more accurately than previous approaches based on data thresholding. We also give an example application to the detection of communities in a protein-protein interaction network.

  3. Migration and trade

    OpenAIRE

    Peter H. Egger; Ehrlich, Maximilian von; Nelson, Douglas R.

    2011-01-01

    Theoretical and empirical research in economics suggests that bilateral migration triggers bilateral trade through a number of channels. This paper assesses the functional form of the impact of migration on trade flows in a quasi-experimental setting. We provide evidence that the relationship is not log-linear. In particular, at small levels of migration (stocks) the elasticity of trade to migration is quite high, and it declines to zero at about 4,000 immigrants. If migration stocks exceed s...

  4. A proposed method for accurate 3D analysis of cochlear implant migration using fusion of cone beam CT

    Directory of Open Access Journals (Sweden)

    Guido eDees

    2016-01-01

    Full Text Available IntroductionThe goal of this investigation was to compare fusion of sequential cone beam CT volumes to the gold standard (fiducial registration in order to be able to analyze clinical CI migration with high accuracy in three dimensions. Materials and MethodsPaired time-lapsed cone beam CT volumes were performed on five human cadaver temporal bones and one human subject. These volumes were fused using 3D Slicer 4 and BRAINSFit software. Using a gold standard fiducial technique, the accuracy, robustness and performance time of the fusion process were assessed.Results This proposed fusion protocol achieves a sub voxel mean Euclidean distance of 0.05 millimeter in human cadaver temporal bones and 0.16 millimeter when applied to the described in vivo human synthetic data set in over 95% of all fusions. Performance times are less than two minutes.ConclusionHere a new and validated method based on existing techniques is described which could be used to accurately quantify migration of cochlear implant electrodes.

  5. Does selective migration explain the Hispanic paradox? A comparative analysis of Mexicans in the U.S. and Mexico.

    Science.gov (United States)

    Bostean, Georgiana

    2013-06-01

    Latino immigrants, particularly Mexican, have some health advantages over U.S.-born Mexicans and Whites. Because of their lower socioeconomic status, this phenomenon has been called the epidemiologic "Hispanic Paradox." While cultural theories have dominated explanations for the Paradox, the role of selective migration has been inadequately addressed. This study is among the few to combine Mexican and U.S. data to examine health selectivity in activity limitation, self-rated health, and chronic conditions among Mexican immigrants, ages 18 and over. Drawing on theories of selective migration, this study tested the "healthy migrant" and "salmon-bias" hypotheses by comparing the health of Mexican immigrants in the U.S. to non-migrants in Mexico, and to return migrants in Mexico. Results suggest that there are both healthy migrant and salmon-bias effects in activity limitation, but not other health aspects. In fact, consistent with prior research, immigrants are negatively selected on self-rated health. Future research should consider the complexities of migrants' health profiles and examine selection mechanisms alongside other factors such as acculturation. PMID:22618355

  6. A dynamic real time in vivo and static ex vivo analysis of granulomonocytic cell migration in the collagen-induced arthritis model.

    Directory of Open Access Journals (Sweden)

    Ruth Byrne

    Full Text Available Neutrophilic granulocytes and monocytes (granulomonocytic cells; GMC drive the inflammatory process at the earliest stages of rheumatoid arthritis (RA. The migratory behavior and functional properties of GMC within the synovial tissue are, however, only incompletely characterized. Here we have analyzed GMC in the murine collagen-induced arthritis (CIA model of RA using multi-photon real time in vivo microscopy together with ex vivo analysis of GMC in tissue sections.GMC were abundant as soon as clinical arthritis was apparent. GMC were motile and migrated randomly through the synovial tissue. In addition, we observed the frequent formation of cell clusters consisting of both neutrophilic granulocytes and monocytes that actively contributed to the inflammatory process of arthritis. Treatment of animals with a single dose of prednisolone reduced the mean velocity of cell migration and diminished the overall immigration of GMC.In summary, our study shows that the combined application of real time in vivo microscopy together with elaborate static post-mortem analysis of GMC enables the description of dynamic migratory characteristics of GMC together with their precise location in a complex anatomical environment. Moreover, this approach is sensitive enough to detect subtle therapeutic effects within a very short period of time.

  7. 跆拳道腿法技术训练中迁移途径的分析%Analysis of the Migration Ways of Taekwondo Leg Technology Training

    Institute of Scientific and Technical Information of China (English)

    孟强

    2012-01-01

    文章运用观察法、文献资料法和分析归纳法等研究方法,从跆拳道腿法的技术属性、动作结构等方面下手,结合跆拳道技术教学训练实践,运用迁移理论分析了跆拳道腿法技术之间产生迁移的条件和途径,以期为跆拳道的技能教学训练提供参考。%Through the observation,literature research and analysis methods,from Taekwondo technical attributes,motion structure aspects,combined with the teaching practice of Taekwondo techniques,with the use of migration theory,the paper does the analysis of Taekwondo leg technology between produce migration conditions and ways,in order to provide references for teaching and training of Taekwondo skills.

  8. Real time macrophage migration analysis and associated pro-inflammatory cytokine release on transparent carbon nanotube/polymer composite nano-film

    Science.gov (United States)

    Khang, Dongwoo

    2015-08-01

    Surface chemistry and nanoscale surface morphology are both influential factors for cell adhesion, growth, and differentiation. In particular, cell migration is one of the major markers of initial immune response activation to implanted biomaterials. Despite their indication, it has been difficult to directly examine macrophages on nanoscale materials, because most nanomaterials possess greater thicknesses than nanoscale. This study developed transparent films comprising a carbon nanotube and polymer composite with controlled surface stiffness and nanoscale roughness. As nanoscale surface topography can incite immune cell activation, analysis of the real-time cell migration (including velocity) of macrophages due to changes in nanoscale surface topography of a biopolymer can support the direct relationship between initial macrophage dynamics and corresponding pro-inflammatory responses. Through real-time analysis, we have identified that surface chemistry and surface nanoscale topography are both independent factors mediating macrophage interactions, and, thus, immune cell behavior can be further controlled by the systematic variation of nanoscale surface topography for a given surface chemistry. Considering that the initial immune response can determine the fate and lifetime of implanted biomaterials, this study presents the direct relationship between initial macrophage dynamics and subsequent inflammatory cytokine release on transparent carbon nanotube polymer composites.

  9. European Integration and Labour Migration

    Directory of Open Access Journals (Sweden)

    Julda Kielyte

    2010-11-01

    Full Text Available The present paper studies how European integration might affect the migration of workers in the enlarged EU. Unlike the reduced-form migration models, we base our empirical analysis on the theory of economic geography à la Krugman (1991, which provides an alternative modelling of migration pull and push factors. Parameters of the theoretical model are estimated econometrically using historical migration data. Our empirical findings suggest that European integration would trigger selective migration between the countries in the enlarged EU. In the Baltics, Lithuania would gain about 7.25% of the total work force. In the Visegrád Four, the share of the mobile labour force would increase the most in Hungary, 8.35%, compared to the pre-integration state. Our predictions for the East-West migration are moderate and lower than those of reduced-form models: between 5.44% (from the Baltics and 3.61% (from the Visegrád Four would emigrate to the EU North. Because migrants not only follow market potential, but also shape the region’s market potential, the long-run agglomeration forces are sufficiently weak to make a swift emergence of a core-periphery pattern in the enlarged EU very unlikely.

  10. Stochastic Annealing for Variational Inference

    OpenAIRE

    Gultekin, San; Zhang, Aonan; Paisley, John

    2015-01-01

    We empirically evaluate a stochastic annealing strategy for Bayesian posterior optimization with variational inference. Variational inference is a deterministic approach to approximate posterior inference in Bayesian models in which a typically non-convex objective function is locally optimized over the parameters of the approximating distribution. We investigate an annealing method for optimizing this objective with the aim of finding a better local optimal solution and compare with determin...

  11. Combinatorial Inference for Graphical Models

    OpenAIRE

    Neykov, Matey; Lu, Junwei; Liu, Han

    2016-01-01

    We propose a new family of combinatorial inference problems for graphical models. Unlike classical statistical inference where the main interest is point estimation or parameter testing, combinatorial inference aims at testing the global structure of the underlying graph. Examples include testing the graph connectivity, the presence of a cycle of certain size, or the maximum degree of the graph. To begin with, we develop a unified theory for the fundamental limits of a large family of combina...

  12. Admissibility of logical inference rules

    CERN Document Server

    Rybakov, VV

    1997-01-01

    The aim of this book is to present the fundamental theoretical results concerning inference rules in deductive formal systems. Primary attention is focused on: admissible or permissible inference rules the derivability of the admissible inference rules the structural completeness of logics the bases for admissible and valid inference rules. There is particular emphasis on propositional non-standard logics (primary, superintuitionistic and modal logics) but general logical consequence relations and classical first-order theories are also considered. The book is basically self-contained and

  13. Theoretical analysis and numerical modeling of heat transfer and fuel migration in underlying soils and constructive elements of nuclear plants during an accident release from the core

    International Nuclear Information System (INIS)

    Migration of fuel fragments and core fission products during severe accidents on nuclear plants is studied analytically and numerically.The problems of heat transfer and migration of volume heat sources in construction materials and underlying soils are considered

  14. Analysis of the Impact of Variations on Signal Electro-Migration and Optimization of Interconnects in FinFET Designs.

    Science.gov (United States)

    Ban, Yongchan

    2016-05-01

    The An AC current induced electro-migration (EM) on clock and logic signals becomes a significant problem even in the presence of reverse-recovery effect. Compared to power network, clock and logic signal interconnects are much narrower and suffer from fast switching and large driving current from FinFETs. Thus, the high current density on those signal interconnects can cause a serious failure. In this paper, we analyze EM on signal interconnects in 16 nm FinFET design, and characterize the impact of process variations, e.g., lithography and etch process, CMP (chemical-mechanical polishing) process, redundant via, etc. We also analyze signal-line EM with transistor-level PVT (process-voltage-temperature) variation corners. Then we optimize the signal lines with various design approaches to mitigate EM problem in 16 nm design. PMID:27483808

  15. An analysis of migration paths of Li+ cations in ternary oxygen-containing compounds LipXqOr

    International Nuclear Information System (INIS)

    A new method was developed for studying voids and channels in crystal structures based on the Voronoi-Dirichlet partition of crystal space, and 822 structurally characterized ternary compounds LipXqOr were analyzed for the first time. For these compounds, the dimensionality was determined and the migration patterns of channel systems capable of providing lithium-ion transport were constructed. The calculated coordinates of lithium atoms in the centers of the voids are consistent (within 0.4 A) with the known structural data. Among these compounds, 113 compounds have infinite channel systems, 60 compounds (18 structural types, STs) have been described earlier in the literature as solid electrolytes, and 53 compounds (23 STs) can be considered as potential one-, two-, or three-dimensional ionic conductors (13, 3, and 7 STs, respectively).

  16. Pseudo-voluntary migration: the case of internal migration system in former Yugoslavia

    Directory of Open Access Journals (Sweden)

    Damir Josipovič

    2013-12-01

    Full Text Available Migration theory has been dichotomised from several different analytical perspectives. The aim of this article is to view migration movements in a holistic scheme taking into account the geographical factors shaping migration patterns at both the point of origin and destination, rather than on the conceptualizations involving the built-in dualisms. The former Yugoslavia with its myriad of cases shows that migration has to be viewed without biased international or internal lenses. Furthermore, the author argues that the migration movements were instead part of a more or less organized system which tended to create circumstances, possibilities and/or impossibilities to migrate. In this way, instead of classifying migrations as either forced or voluntary, the concept of pseudo-voluntary migration movements was proposed. In changing the perspective in which migrations are view in this, the article draws extensively on the moorings theory developed by Bruce Moon. The author gives an updated framework for individual or small group migration analysis. The latter is supplemented by a set of variables and factors in order to make a further use possible at the level of international or internal migration. The author argues that the internal Yugoslav migration system between 1945 and 1991 should be viewed within a framework of potentially coerced, semi-coerced or ‘pseudo-voluntary migration’.

  17. A CUSUM analysis of discharge patterns by a hydroelectric dam and discussion of potential effects on the upstream migration of American eel elvers

    International Nuclear Information System (INIS)

    American eel elvers are among the diadromous fishes native to the Saint John River in New Brunswick that have been affected by the construction of hydroelectric dams. Before 1980, large numbers of elvers were observed entering the fishway of the Mactaquac Dam in May and June for upstream migration, but their presence abruptly ceased after 1980. A study was conducted to determine why they disappeared at the Mactaquac Dam. A cumulative sum (CUSUM) analysis was performed to determine the variability in magnitude, duration, timing, frequency, and rate of change in the daily and seasonal average level of water discharge associated with the installation of the last two of six turbines in late 1979 and early 1980. It is believed that the rapid, short-term fluctuations in water discharge which is characteristic of peaking hydroelectric dam operations, could seriously affect life cycle transitions of diadromous fishes. Upstream and downstream migration of the elvers may be affected along with their abundance, diversity and productivity. Young fish in particular are at higher risk of mortality during high flows, depending on the species. 40 refs., 3 tabs., 10 figs

  18. In-capillary formation of polymer/surfactant complexes-assisted reversed-migration micellar electrokinetic chromatography for facile analysis of neutral steroids.

    Science.gov (United States)

    Wu, Li-Chen; Hu, Ching-Yuan; Dung, Yi-Shiou; Wu, Tsung-Hung

    2013-03-30

    In this study we developed a novel approach, using in-capillary formation of polymer/surfactant complexes (IPSC)-assisted reversed-migration MEKC (RM-MEKC), for the analysis of neutral steroids. This process involved two sequential events: in-capillary polymer/surfactant complexes formation during sample preconcentration, followed by IPSC separation. The procedure began with a polymer-filled capillary. Initially, on-line preconcentration of the sample was performed at the sample plug. Meanwhile, free surfactants migrated to interact with polymers, forming polymer-surfactant complexes. Analytes were then kinetically partitioned between the mixed phases (micelles and polymer-SDS complexes). Sodium dodecyl sulfate (SDS) and poly(N-isopropylacrylamide) (PNIPAAm) were employed as pseudo-stationary phases (PSPs). This system allowed the successful separation of five steroids (testosterone, hydrocortisone 21-acetate, dexamethasone, prednisolone, hydrocortisone) in acetate buffer and the determination of urinary free hydrocortisone; it also exhibited excellent performance for sample on-line concentration. The limit of detection for hydrocortisone was 20.98 ng/mL (R(2)=0.9995). The polymer size, concentrations, end-group charges, and SDS concentrations were evaluated. This IPSC/RM-MEKC system, which can be adopted in commercial CE instruments, is easy to operate, suitable for combination with several sample preconcentration options, sensitive, robust, and environmentally sustainable. We suspect that such systems might have potential applications in clinical analyses and in microanalytical devices. PMID:23598239

  19. Causal Inference and Developmental Psychology

    Science.gov (United States)

    Foster, E. Michael

    2010-01-01

    Causal inference is of central importance to developmental psychology. Many key questions in the field revolve around improving the lives of children and their families. These include identifying risk factors that if manipulated in some way would foster child development. Such a task inherently involves causal inference: One wants to know whether…

  20. MIGRATION CATASTROPHE IN ARMENIA AS A CONSEQUENCE OF THE CONFLICT

    OpenAIRE

    Yagubov, Yakub

    2012-01-01

    This article studies the migration situation in Armenia. It examines the economic prerequisites of migration in Armenia and carries out a comparative analysis of economic development in Armenia and Azerbaijan.

  1. MILESTONES THEORETICAL AND CONCEPTUAL MIGRATION STUDY IN INTERNATIONAL

    OpenAIRE

    Chipea Floare

    2009-01-01

    The article presents some theoretical benchmarks used in explaining the behaviors specific to the international migration, invoking the concepts, widely used in the analysis of the phenomenon: the migration flows, areas of origin and destination; differe

  2. Migration and revolution

    Directory of Open Access Journals (Sweden)

    Nando Sigona

    2012-06-01

    Full Text Available The Arab Spring has not radically transformed migration patterns in the Mediterranean, and the label ‘migration crisis’ does not do justice to the composite and stratified reality.

  3. Identification Analysis of Eukaryotic Expression Plasmid Rap2a and Its Effect on the Migration of Lung Cancer Cells

    Directory of Open Access Journals (Sweden)

    Jinxia WU

    2014-09-01

    Full Text Available Background and objective Rap2a, a member of the small GTPase superfamily, plays a critical role in regulating the function of integrin and cell adhesion, thereby controlling cell motility and cell/matrix interactions. However, the function of Rap2a in carcinogenesis is still poorly understood. To clone Rap2a cDNA, which belongs to human Ras-related small G protein superfamily, we constructed its eukaryotic expression vector and determined its expression in lung cancer cells. The aim of this study is to explore the role of Rap2a in carcinogenesis. Methods The levels of endogenous Rap2a protein in lung cancer cells were measured by Western blot. Total RNA of human osteosarcoma cells U2OS was extracted and reverse-transcribed into cDNA by RT-PCR. Then, Rap2a gene was amplified by PCR and inserted into pcDNA3.1(+. The reconstructed plasmid was identified by restricted enzyme digestion and sequencing. pcDNA3.1(+-Rap2a was transfected into H1299 and A549 cells, the expression of Rap2a was detected by Western blot. In addition, the migratory abilities of lung cancer cells were evaluated by Transwell assay. Matrix metalloproteinase (MMP2 enzyme activity was evaluated by gelatin zymography. Results Rap2a is significantly upregulated in lung cancer cells. The results of enzyme digestion and sequencing showed that the coding sequence of pcDNA3.1(+-Rap2a was right and was inserted into the vector correctly. The results of Western blot showed that H1299 and A549 cells were transfected successfully. Transwell assay indicated that the ectopic expression of Rap2a promotes lung cancer cells migration. Correspondly, enzyme activity of MMP2 also increased. Conclusion Eukaryotic expression plasmid pcDNA3.1(+-Rap2a was constructed successfully. Rap2a could be expressed in lung cancer cells efficiently and promotes lung cancer cell migration.

  4. Skilled Migration: Australia. Working Paper No. 63

    Science.gov (United States)

    Shah, Chandra; Burke, Gerald

    2005-01-01

    Migration patterns to and from Australia are becoming complex with migration programmes increasingly targeted towards meeting the needs of the labour market and regional development. This paper provides an analysis of the permanent and temporary movements of people to and from Australia in the last three years and their impact on the skilled…

  5. Abductive inferences to psychological variables: Steiger's question and best explanations of psychopathy.

    Science.gov (United States)

    Markus, Keith A; Hawes, Samuel W; Thasites, Rula J

    2008-09-01

    Abductive inference often involves inference to the best explanation. A focus on the bestness of explanations facilitates a comparative analysis of how abductive inference would differ if approached with four contrasting sets of assumptions about how scientific inference works: positivism, realism, and two kinds of pragmatism. As a thought experiment, one can imagine a situation in which competing models of psychopathy differ in parsimony and fit to the data, but produce a tie when considering both virtues in combination. The thought experiment demonstrates that Steiger's (1990) question about how best to combine competing virtues in scientific inference applies to abductive inference and that the answers depend upon other assumptions about how science works. The comparative analysis helps focus some of the issues that require clarification before abductive inference can enter the Pantheon of standard research methods in psychology. More constructively, the analysis also demonstrates that one need not accept scientific realism to accept and use abductive inference. PMID:18618735

  6. International Migration and Remittances

    OpenAIRE

    Dattatray Sitaram Bagade

    2012-01-01

    Human migration is a physical movement by human beings from one geographical areato another geographical area. Migration is internal as well as external. At theinternational level, no universally accepted definition for “Migrant” exists. The UniteNations defines “migration as an individual who has resided in a foreign country formore than one year irrespective of the causes, voluntary or involuntary, and the means,regular or irregular, used migrate”. Key terms of migrations is documented migr...

  7. Migration, Remittances and Growth

    OpenAIRE

    Nurgul Ukueva

    2011-01-01

    This paper analyzes the effect of migration and remittances on a small, open, migrant-sending country in the context of an endogenous growth model with technology transfers. The paper demonstrates that, due to a dynamic feedback effect from economic conditions to migration and from migration to economic development in an economy exposed to migration, initial conditions can determine its long-run steady state, leading to the rise of vicious or virtues circles of development. Countries with a l...

  8. Essays on temporary migration

    OpenAIRE

    Mestres Domenech, J.

    2012-01-01

    My thesis dissertation focuses on the temporariness of migration, its diverse effects as well as on migration selection. The first paper, A Dynamic Model of Return Migration analyzes the decision process underlying return migration using a dynamic model. We explain how migrants decide whether to stay or to go back to their home country together with their savings and consumption decisions. We simulate our model with return intentions and perform policy simulations. The se...

  9. International migration: a global challenge.

    Science.gov (United States)

    Martin, P; Widgren, J

    1996-04-01

    Trends in international migration are presented in this multiregional analysis. Seven of the world's wealthiest countries have about 33% of the world's migrant population, but under 16% of the total world population. Population growth in these countries is substantially affected by the migrant population. The migration challenge is external and internal. The external challenge is to balance the need for foreign labor and the commitment to human rights for those migrants seeking economic opportunity and political freedom. The internal challenge is to assure the social adjustment of immigrants and their children and to integrate them into society as citizens and future leaders. Why people cross national borders and how migration flows are likely to evolve over the next decades are explained. This report also presents some ways that countries can manage migration or reduce the pressures which force people to migrate. It is recommended that receiving nations control immigration by accelerating global economic growth and reducing wars and human rights violations. This report examines the impact of immigration on international trade, aid, and direct intervention policies. Although migration is one of the most important international economic issues, it is not coordinated by an international group. The European experience indicates that it is not easy to secure international cooperation on issues that affect national sovereignty. It is suggested that countries desiring control of their borders should remember that most people never cross national borders to live or work in another country, that 50% of the world's migrants move among developing countries, and that countries can shift from being emigration to immigration countries. The author suggests that sustained reductions in migration pressure are a better alternative than the "quick fixes" that may invite the very much feared mass and unpredictable movements. PMID:12320315

  10. Efficient Bayesian inference for ARFIMA processes

    Science.gov (United States)

    Graves, T.; Gramacy, R. B.; Franzke, C. L. E.; Watkins, N. W.

    2015-03-01

    Many geophysical quantities, like atmospheric temperature, water levels in rivers, and wind speeds, have shown evidence of long-range dependence (LRD). LRD means that these quantities experience non-trivial temporal memory, which potentially enhances their predictability, but also hampers the detection of externally forced trends. Thus, it is important to reliably identify whether or not a system exhibits LRD. In this paper we present a modern and systematic approach to the inference of LRD. Rather than Mandelbrot's fractional Gaussian noise, we use the more flexible Autoregressive Fractional Integrated Moving Average (ARFIMA) model which is widely used in time series analysis, and of increasing interest in climate science. Unlike most previous work on the inference of LRD, which is frequentist in nature, we provide a systematic treatment of Bayesian inference. In particular, we provide a new approximate likelihood for efficient parameter inference, and show how nuisance parameters (e.g. short memory effects) can be integrated over in order to focus on long memory parameters, and hypothesis testing more directly. We illustrate our new methodology on the Nile water level data, with favorable comparison to the standard estimators.

  11. On Marriage and Migration

    OpenAIRE

    Stark, Oded

    1988-01-01

    Marriage, migration and related phenomena such as marital stability, fertility and investment in human capital may be better explained by studying marriage and migration jointly. We thus proceed in this paper to explore the role of migration in obtaining joint labour-market and marriage-market equilibrium. This facilitates identification of several novel and testable hypotheses.

  12. Seismic imaging and analysis of source and migration within an integrated hydrocarbon system study: Northern Gulf of Mexico Basin

    Energy Technology Data Exchange (ETDEWEB)

    Gross, Oliver P.; Hood, Kenneth C.; Harrison, Stanley C. [Exxon Exploration Co., Houston, TX (United States); Wenger, Lloyd M. [Exxon Production Research Co., Houston, TX (United States)

    1995-12-31

    The sources for hydrocarbons in young Tertiary reservoirs of the offshore Gulf of Mexico have been enigmatic in the past due to the lack of source rock penetration in offshore drilling. Exxon formed a multidisciplinary team to address source, maturation, and migration in the northern Gulf of Mexico. The study was initiated in a pilot area east of the Mississippi River Delta where the complete hydrocarbon system can be seismically imaged, then expanded to the west across much of the shelf and slope. Hydrocarbons from seeps and reservoirs were geochemically characterized across the entire northern Gulf of Mexico Basin, and direct oil to source rock correlations were made both offshore (in pilot area) and onshore. Modern 2-D and 3-D seismic was used to develop a geologic framework and to map potential offshore source intervals. The major sources identified offshore are centered on the Eocene, Turonian, Tithonian, and Oxfordian, and correspond to second-order sequence stratigraphic transgressions. (author). 1 fig., 1 tab

  13. Air Quality Analysis by Using Fuzzy Inference System and Fuzzy C-mean Clustering in Tehran, Iran from 2009–2013

    Science.gov (United States)

    HAMEDIAN, Amir Abbas; JAVID, Allahbakhsh; MOTESADDI ZARANDI, Saeed; RASHIDI, Yousef; MAJLESI, Monireh

    2016-01-01

    Background: Since the industrial revolution, the rate of industrialization and urbanization has increased dramatically. Regarding this issue, specific regions mostly located in developing countries have been confronted with serious problems, particularly environmental problems among which air pollution is of high importance. Methods: Eleven parameters, including CO, SO2, PM10, PM2.5, O3, NO2, benzene, toluene, ethyl-benzene, xylene, and 1,3-butadiene, have been accounted over a period of two years (2011–2012) from five monitoring stations located at Tehran, Iran, were assessed by using fuzzy inference system and fuzzy c-mean clustering. Results: These tools showed that the quality of criteria pollutants between the year 2011 and 2012 did not as much effect the public health as the other pollutants did. Conclusion: Using the air EPA AQI, the quality of air, and also the managerial plans required to improve the quality can be misled. PMID:27516999

  14. Comparative analysis of nocturnal vertical plasma drift velocities inferred from ground-based ionosonde measurements of hmF2 and h‧F

    Science.gov (United States)

    Adebesin, B. O.; Adeniyi, J. O.; Adimula, I. A.; Oladipo, O. A.; Olawepo, A. O.; Reinisch, B. W.

    2015-01-01

    Variations in the evening/nighttime ionosonde vertical plasma drift velocities inferred from the time rate of change of both the base of the F-layer height (Vz(h‧F)) and height of the peak electron density (Vz(hmF2)) from an equatorial station were compared for better description of the E×B drifts. For better interpretation, both results were compared with the Incoherent Scatter (IS) radar observations (Vz(ISR)) which is taken to be the most accurate method of measuring drift, and therefore the data of reference level. An equinoctial maximum and June solstice minimum in post-sunset pre-reversal enhancement (PRE) was observed for Vz(hmF2), Vz(ISR), and Vz(h‧F). The percentage correlation between VzhmF2 and Vzh‧F ranges within 55-70%. While PRE for Vz(hmF2) peaked at 19 LT for all seasons, Vz(h‧F) peaked at 18 LT for September equinox and December solstice, and start earlier. The nighttime downward reversal peak magnitudes for Vz(hmF2) and Vz(h‧F) are respectively within the range of -4 to -14 and -2 to -14 m/s; whereas Vz(ISR) ranges within -12 and -34 m/s; and the peak time was reached earlier with the ionosonde observations than for the ISR. The PRE peak magnitude for Vz(hmF2), Vz(h‧F) and Vz(ISR) varies between 3-14, 2-14, and 4-14 m/s for the entire seasons. Our results revealed higher drift correlation coefficients in both Vz(hmF2) vs. Vz(ISR) (0.983) and Vz(h‧F) vs. Vz(ISR) (0.833) relationships during the equinoxes between 16-20 LT, at which time the F-layer altitude is higher than the 300 km threshold value; and lower for solstice period (0.326 and 0.410 in similar order). A better linear relationship between Vz(hmF2) and Vz(h‧F2) was observed during the reversal (19-21 LT) phase period. PRE velocity was shown to be seasonal and solar activity dependent. Both VzhmF2 and Vzh‧F compares almost equally with the ISR measurement. However, the PRE peak magnitude for the drift inferred using h‧F2 is closer to the corresponding ISR magnitude

  15. BAMBI: blind accelerated multimodal Bayesian inference

    CERN Document Server

    Graff, Philip; Hobson, Michael P; Lasenby, Anthony

    2011-01-01

    In this paper we present an algorithm for rapid Bayesian analysis that combines the benefits of nested sampling and artificial neural networks. The blind accelerated multimodal Bayesian inference (BAMBI) algorithm implements the MultiNest package for nested sampling as well as the training of an artificial neural network (NN) to learn the likelihood function. In the case of computationally expensive likelihoods, this allows the substitution of a much more rapid approximation in order to increase significantly the speed of the analysis. We begin by demonstrating, with a few toy examples, the ability of a NN to learn complicated likelihood surfaces. BAMBI's ability to decrease running time for Bayesian inference is then demonstrated in the context of estimating cosmological parameters from WMAP and other observations. We show that valuable speed increases are achieved in addition to obtaining NNs trained on the likelihood functions for the different model and data combinations. These NNs can then be used for an...

  16. Faster permutation inference in brain imaging.

    OpenAIRE

    Winkler, AM; Ridgway, GR; Douaud, G; Nichols, TE; Smith, SM

    2016-01-01

    Permutation tests are increasingly being used as a reliable method for inference in neuroimaging analysis. However, they are computationally intensive. For small, non-imaging datasets, recomputing a model thousands of times is seldom a problem, but for large, complex models this can be prohibitively slow, even with the availability of inexpensive computing power. Here we exploit properties of statistics used with the general linear model (GLM) and their distributions to obtain accelerations i...

  17. Inferring comprehensible business/ICT alignment rules.

    OpenAIRE

    Cumps, Bjorn; Martens, David; De Backer, Manu; Haesen, Raf; Viaene, Stijn; Dedene, Guido; Baesens, Bart; Snoeck, Monique

    2009-01-01

    We inferred business rules for business/ICT alignment by applying a novel rule induction algorithm on a data set containing rich alignment information polled from 641 organisations in 7 European countries. The alignment rule set was created using AntMiner+, a rule induction technique with a reputation of inducing accurate, comprehensible, and intuitive predictive models from data. Our data set consisted of 18 alignment practices distilled from an analysis of relevant publications and validate...

  18. Patterns of migration in Tanzania.

    OpenAIRE

    Bernstein, H

    1981-01-01

    ILO pub-wep pub. Working paper identifying internal migration patterns and employment implications in Tanzania - discusses reasons for migration, types (seasonal workers, permanent, etc.), Migration within rural areas or urban areas, rural migration, land settlement trends, etc. References.)

  19. Optimization methods for logical inference

    CERN Document Server

    Chandru, Vijay

    2011-01-01

    Merging logic and mathematics in deductive inference-an innovative, cutting-edge approach. Optimization methods for logical inference? Absolutely, say Vijay Chandru and John Hooker, two major contributors to this rapidly expanding field. And even though ""solving logical inference problems with optimization methods may seem a bit like eating sauerkraut with chopsticks. . . it is the mathematical structure of a problem that determines whether an optimization model can help solve it, not the context in which the problem occurs."" Presenting powerful, proven optimization techniques for logic in

  20. An Inference Language for Imaging

    DEFF Research Database (Denmark)

    Pedemonte, Stefano; Catana, Ciprian; Van Leemput, Koen

    2014-01-01

    We introduce iLang, a language and software framework for probabilistic inference. The iLang framework enables the definition of directed and undirected probabilistic graphical models and the automated synthesis of high performance inference algorithms for imaging applications. The iLang framework...... is composed of a set of language primitives and of an inference engine based on a message-passing system that integrates cutting-edge computational tools, including proximal algorithms and high performance Hamiltonian Markov Chain Monte Carlo techniques. A set of domain-specific highly optimized GPU...

  1. Using Nocturnal Flight Calls to Assess the Fall Migration of Warblers and Sparrows along a Coastal Ecological Barrier

    OpenAIRE

    Smith, Adam D.; Peter W C Paton; McWilliams, Scott R.

    2014-01-01

    Atmospheric conditions fundamentally influence the timing, intensity, energetics, and geography of avian migration. While radar is typically used to infer the influence of weather on the magnitude and spatiotemporal patterns of nocturnal bird migration, monitoring the flight calls produced by many bird species during nocturnal migration represents an alternative methodology and provides information regarding the species composition of nocturnal migration. We used nocturnal flight call (NFC) r...

  2. TYBO/BENHAM: Model Analysis of Groundwater Flow and Radionuclide Migration from Underground Nuclear Tests in Southwestern Pahute Mesa, Nevada

    Energy Technology Data Exchange (ETDEWEB)

    Andrew Wolfsberg; Lee Glascoe; Guoping Lu; Alyssa Olson; Peter Lichtner; Maureen McGraw; Terry Cherry; Guy Roemer

    2002-09-01

    Recent field studies have led to the discovery of trace quantities of plutonium originating from the BENHAM underground nuclear test in two groundwater observation wells on Pahute Mesa at the Nevada Test Site. These observation wells are located 1.3 km from the BENHAM underground nuclear test and approximately 300 m from the TYBO underground nuclear test. In addition to plutonium, several other conservative (e.g. tritium) and reactive (e.g. cesium) radionuclides were found in both observation wells. The highest radionuclide concentrations were found in a well sampling a welded tuff aquifer more than 500m above the BENHAM emplacement depth. These measurements have prompted additional investigations to ascertain the mechanisms, processes, and conditions affecting subsurface radionuclide transport in Pahute Mesa groundwater. This report describes an integrated modeling approach used to simulate groundwater flow, radionuclide source release, and radionuclide transport near the BENHAM and TYBO underground nuclear tests on Pahute Mesa. The components of the model include a flow model at a scale large enough to encompass many wells for calibration, a source-term model capable of predicting radionuclide releases to aquifers following complex processes associated with nonisothermal flow and glass dissolution, and site-scale transport models that consider migration of solutes and colloids in fractured volcanic rock. Although multiple modeling components contribute to the methodology presented in this report, they are coupled and yield results consistent with laboratory and field observations. Additionally, sensitivity analyses are conducted to provide insight into the relative importance of uncertainty ranges in the transport parameters.

  3. A comparative analysis of clustering algorithms: O{sub 2} migration in truncated hemoglobin I from transition networks

    Energy Technology Data Exchange (ETDEWEB)

    Cazade, Pierre-André; Berezovska, Ganna; Meuwly, Markus, E-mail: m.meuwly@unibas.ch [Department of Chemistry, University of Basel, Klingelbergstrasse 80, CH-4056 Basel (Switzerland); Zheng, Wenwei; Clementi, Cecilia [Department of Chemistry, Rice University, 6100 Main St., Houston, Texas 77005 (United States); Prada-Gracia, Diego; Rao, Francesco [School of Soft Matter Research, Freiburg Institute for Advanced Studies, Albertstrasse 19, 79104 Freiburg im Breisgau (Germany)

    2015-01-14

    The ligand migration network for O{sub 2}–diffusion in truncated Hemoglobin N is analyzed based on three different clustering schemes. For coordinate-based clustering, the conventional k–means and the kinetics-based Markov Clustering (MCL) methods are employed, whereas the locally scaled diffusion map (LSDMap) method is a collective-variable-based approach. It is found that all three methods agree well in their geometrical definition of the most important docking site, and all experimentally known docking sites are recovered by all three methods. Also, for most of the states, their population coincides quite favourably, whereas the kinetics of and between the states differs. One of the major differences between k–means and MCL clustering on the one hand and LSDMap on the other is that the latter finds one large primary cluster containing the Xe1a, IS1, and ENT states. This is related to the fact that the motion within the state occurs on similar time scales, whereas structurally the state is found to be quite diverse. In agreement with previous explicit atomistic simulations, the Xe3 pocket is found to be a highly dynamical site which points to its potential role as a hub in the network. This is also highlighted in the fact that LSDMap cannot identify this state. First passage time distributions from MCL clusterings using a one- (ligand-position) and two-dimensional (ligand-position and protein-structure) descriptor suggest that ligand- and protein-motions are coupled. The benefits and drawbacks of the three methods are discussed in a comparative fashion and highlight that depending on the questions at hand the best-performing method for a particular data set may differ.

  4. Nativity concentration and internal migration among the foreign-born.

    Science.gov (United States)

    Kritz, M M; Nogle, J M

    1994-08-01

    Are immigrants who live in states where large numbers of their compatriots reside more or less likely to migrate than those who live in other states? Using 1980 U.S. Census data to address that question, the analysis shows that nativity concentration deters interstate migration but not migration within the same state. Residing in a state where fellow nationals live is a more important determinant of internal migration than human capital, immigration status, or a state's unemployment rate. New York State residence in 1975 also promotes interstate migration. This research suggests that social dimensions should be taken into account in modeling internal migration of the foreign-born. PMID:7828769

  5. Network inference using informative priors

    OpenAIRE

    Mukherjee, Sach; Speed, Terence P.

    2008-01-01

    Recent years have seen much interest in the study of systems characterized by multiple interacting components. A class of statistical models called graphical models, in which graphs are used to represent probabilistic relationships between variables, provides a framework for formal inference regarding such systems. In many settings, the object of inference is the network structure itself. This problem of “network inference” is well known to be a challenging one. However, in scientific setting...

  6. Computational inference beyond Kingman's coalescent

    OpenAIRE

    Koskela, Jere; Jenkins, Paul A.; Spano', Dario

    2013-01-01

    Full likelihood inference under Kingman's coalescent is a computationally challenging problem to which importance sampling (IS) and the product of approximate conditionals (PAC) method have been applied successfully. Both methods can be expressed in terms of families of intractable conditional sampling distributions (CSDs), and rely on principled approximations for accurate inference. Recently, more general $\\Lambda$- and $\\Xi$-coalescents have been observed to provide better modelling fits t...

  7. Post-socialist international migration: The case of China-to-South Korea ethnic labour migration

    OpenAIRE

    Kim, Anna Myunghee

    2010-01-01

    This paper examines an atypical south-north labour migration that emerged in the post-socialist international migration system: China-to-South Korea ethnic labour migration. Over the past decade, South Korea has experienced an unprecedented increase in the arrival of foreign labour. The majority of workers come from the People's Republic of China. Based on a contextual multivariate analysis of primary survey data on 525 predominantly undocumented Korean Chinese labour migrants in Seoul, this ...

  8. Information pertinent to the migration of radionuclides in ground water at the Nevada Test Site. Part 1. Review and analysis of existing information

    International Nuclear Information System (INIS)

    A history of NTS is given, the geologic and hydrologic setting is described, and the amount of radioactivity deposited within and near the main aquifers is estimated. The conclusions include: information currently available is insufficient to state categorically that radioactivity will never be carried off the Nevada Test Site by ground water movement; nonetheless, such a migration at levels above the maximum permissible concentration to existing wells and springs is considered unlikely; if offsite migration occurs, it will probably be from the southwestern margins of Pahute Mesa, where there is only a small chance of contaminating existing public water supplies; tritium is the most mobile radionuclide and may be the only long-lived isotope of concern. Highest priority is assigned to measurement of tritium and other radionuclides in large water samples taken from nuclear chimneys that water has re-entered after an explosion; expansion of the existing groundwater monitoring program at NTS to include wells with a higher probability of intersecting flow of contaminated water; measurement of groundwater flow velocities and other associated hydrologic parameters. High priority is assigned to production of an inventory of radionuclides deposited near NTS borders, especially beneath Pahute Mesa; determination of amounts of radioactivity deposited directly into the Lower Carbonate Aquifer; a sensitivity analysis of the many parameters that enter into transport calculations; a study of the many unplugged holes that penetrate the Tuff Aquitard; testing of the assumption that radionuclides deposited in the unsaturated zone are isolated from the saturated zone because of limited precipitation and downward movement of moisture; and determination of distribution coefficients for NTS alluvium, carbonate, and rhyolitic rocks, which are lacking or poorly represented in the literature. Twelve other recommendations of lesser priority are also given

  9. Active inference, communication and hermeneutics.

    Science.gov (United States)

    Friston, Karl J; Frith, Christopher D

    2015-07-01

    Hermeneutics refers to interpretation and translation of text (typically ancient scriptures) but also applies to verbal and non-verbal communication. In a psychological setting it nicely frames the problem of inferring the intended content of a communication. In this paper, we offer a solution to the problem of neural hermeneutics based upon active inference. In active inference, action fulfils predictions about how we will behave (e.g., predicting we will speak). Crucially, these predictions can be used to predict both self and others--during speaking and listening respectively. Active inference mandates the suppression of prediction errors by updating an internal model that generates predictions--both at fast timescales (through perceptual inference) and slower timescales (through perceptual learning). If two agents adopt the same model, then--in principle--they can predict each other and minimise their mutual prediction errors. Heuristically, this ensures they are singing from the same hymn sheet. This paper builds upon recent work on active inference and communication to illustrate perceptual learning using simulated birdsongs. Our focus here is the neural hermeneutics implicit in learning, where communication facilitates long-term changes in generative models that are trying to predict each other. In other words, communication induces perceptual learning and enables others to (literally) change our minds and vice versa. PMID:25957007

  10. Active inference, communication and hermeneutics☆

    Science.gov (United States)

    Friston, Karl J.; Frith, Christopher D.

    2015-01-01

    Hermeneutics refers to interpretation and translation of text (typically ancient scriptures) but also applies to verbal and non-verbal communication. In a psychological setting it nicely frames the problem of inferring the intended content of a communication. In this paper, we offer a solution to the problem of neural hermeneutics based upon active inference. In active inference, action fulfils predictions about how we will behave (e.g., predicting we will speak). Crucially, these predictions can be used to predict both self and others – during speaking and listening respectively. Active inference mandates the suppression of prediction errors by updating an internal model that generates predictions – both at fast timescales (through perceptual inference) and slower timescales (through perceptual learning). If two agents adopt the same model, then – in principle – they can predict each other and minimise their mutual prediction errors. Heuristically, this ensures they are singing from the same hymn sheet. This paper builds upon recent work on active inference and communication to illustrate perceptual learning using simulated birdsongs. Our focus here is the neural hermeneutics implicit in learning, where communication facilitates long-term changes in generative models that are trying to predict each other. In other words, communication induces perceptual learning and enables others to (literally) change our minds and vice versa. PMID:25957007

  11. The Light at the End of the Tunnel: Uncertainties in Atomic Physics, Bayesian Inference, and the Analysis of Solar and Stellar Observations

    Science.gov (United States)

    Warren, Harry

    2016-05-01

    We report on the efforts of a multidisciplinary International Space Science Institute team that is investigating the limits of our ability to infer the physical properties of solar and stellar atmospheres from remote sensing observations. As part of this project we have estimated the uncertainties in the collisional cross sections and radiative decay rates for Fe XIII and O VII and created 1000 realizations of the CHIANTI atomic database. These perturbed atomic data are then used to analyze solar observations from the EIS spectrometer on Hinode and stellar observations from the LETG on Chandra within a Bayesian framework. For the solar case we find that the systematic errors from the atomic physics dominate the statistical uncertainties from the observations. For many cases the uncertainties are about 10 times larger when variations in the atomic data are included. This indicates the need for very accurate atomic physics. Comparisons among recent Fe XIII calculations suggest that for some transitions the collision rates are currently known well enough to measure the electron density and emission measure to about 15%.

  12. Inferring primary tumor sites from mutation spectra: a meta-analysis of histology-specific aberrations in cancer-derived cell lines.

    Science.gov (United States)

    Dietlein, Felix; Eschner, Wolfgang

    2014-03-15

    Next-generation sequencing technologies have led to profound characterization of mutation spectra for several cancer types. Hence, we sought to systematically compare genomic aberrations between primary tumors and cancer lines. For this, we compiled publically available sequencing data of 1651 genes across 905 cell lines. We used them to characterize 23 distinct primary tumor sites by a novel approach that is based on Bayesian spam-filtering techniques. Thereby, we confirmed the strong overall similarity of alterations between patient samples and cell culture. However, we also identified several suspicious mutations, which had not been associated with their cancer types before. Based on these characterizations, we developed the inferring cancer origins from mutation spectra (ICOMS) tool. On our cell line collection, the algorithm reached a prediction specificity rate of 79%, which strongly variegated between primary cancer sites. On an independent validation cohort of 431 primary tumor samples, we observed a similar accuracy of 71%. Additionally, we found that ICOMS could be employed to deduce further attributes from mutation spectra, including sub-histology and compound sensitivity. Thus, thorough classification of site-specific mutation spectra for cell lines may decipher further genome-phenotype associations in cancer. PMID:24163242

  13. Analysis of plasmaspheric hiss wave amplitudes inferred from low-altitude POES electron data: Validation with conjunctive Van Allen Probes observations

    Science.gov (United States)

    Soria-Santacruz, M.; Li, W.; Thorne, R. M.; Ma, Q.; Bortnik, J.; Ni, B.; Kletzing, C. A.; Kurth, W. S.; Hospodarsky, G. B.

    2015-10-01

    Plasmaspheric hiss plays an important role in controlling the overall structure and dynamics of the Earth's radiation belts. The interaction of plasmaspheric hiss with radiation belt electrons is commonly evaluated using diffusion codes, which rely on statistical models of wave observations that may not accurately reproduce the instantaneous global wave distribution or the limited in situ satellite wave measurements. This paper evaluates the performance and limitations of a novel technique capable of inferring wave amplitudes from low-altitude electron flux observations from the Polar Orbiting Environmental Satellites (POES), which provide extensive coverage in shell and magnetic local time (MLT). We found that, within its limitations, this technique could potentially be used to build a dynamic global model of the plasmaspheric hiss wave intensity. The technique is validated by analyzing the conjunctions between the POES spacecraft and the Van Allen Probes from September 2012 to June 2014. The technique performs well for moderate-to-strong hiss activity (≥30 pT) with sufficiently high electron fluxes. The main source of these limitations is the number of counts of energetic electrons measured by the POES spacecraft capable of resonating with hiss waves. For moderate-to-strong hiss events, the results show that the wave amplitudes from the EMFISIS instruments on board the Van Allen Probes are well reproduced by the POES technique, which provides more consistent estimates than the parameterized statistical hiss wave model based on CRRES data.

  14. Nonparametric statistical inference

    CERN Document Server

    Gibbons, Jean Dickinson

    2014-01-01

    Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas of the social, behavioral, and life sciences. The book presents new material on the quantiles, the calculation of exact and simulated power, multiple comparisons, additional goodness-of-fit tests, methods of analysis of count data, and modern computer applications using MINITAB, SAS, and STATXACT. It includes tabular guides for simplified applications of tests and finding P values and confidence interval estimates.

  15. Human collective intelligence as distributed Bayesian inference

    CERN Document Server

    Krafft, Peter M; Pan, Wei; Della Penna, Nicolás; Altshuler, Yaniv; Shmueli, Erez; Tenenbaum, Joshua B; Pentland, Alex

    2016-01-01

    Collective intelligence is believed to underly the remarkable success of human society. The formation of accurate shared beliefs is one of the key components of human collective intelligence. How are accurate shared beliefs formed in groups of fallible individuals? Answering this question requires a multiscale analysis. We must understand both the individual decision mechanisms people use, and the properties and dynamics of those mechanisms in the aggregate. As of yet, mathematical tools for such an approach have been lacking. To address this gap, we introduce a new analytical framework: We propose that groups arrive at accurate shared beliefs via distributed Bayesian inference. Distributed inference occurs through information processing at the individual level, and yields rational belief formation at the group level. We instantiate this framework in a new model of human social decision-making, which we validate using a dataset we collected of over 50,000 users of an online social trading platform where inves...

  16. The anchor of the frameless intrauterine device does not migrate over time: an analysis in over 300 women

    Directory of Open Access Journals (Sweden)

    Wildemeersch D

    2014-12-01

    Full Text Available Dirk Wildemeersch,1 Ansgar Pett,2 Sohela Jandi,2 Kilian Nolte,3 Wolfgang Albrecht4 1Gynecological Outpatient Clinic and IUD Training Centre, Ghent, Belgium; 2Gynecological Outpatient Clinic, Berlin, Germany; 3Gynecological Outpatient Clinic, Uetze, Germany; 4Gynecological Outpatient Clinic, Feldkirchen, Austria Objective: To evaluate the correct position of the anchor at insertion and follow-up and assess if migration of the anchor occurs over time. Materials and methods: This was an insertion-related, prospective, postmarketing study in 309 women. Following insertion, women were followed up at 4–6 weeks, 6 months, and yearly thereafter. The position of the visualized anchor in the fundus of the uterus was evaluated using ultrasound by measuring its distance from the serosal surface of the uterus (SA-distance. Results: A total of 309 parous (n=115 and nulliparous (n=194 women were fitted with the frameless GyneFix 200 or the GyneFix 330 intrauterine device for contraception. The mean SA-distance in 306 parous and nulliparous women was 6.0 mm (range 2.0–24.0 mm at insertion in the parous group and 5.4 mm (range 1.3–11.0 mm in the nulliparous group. At the first follow-up in 281 women, the SA-distance was 6.0 mm (range 2.0–12.0 mm in the parous group and 5.5 mm (range 1.1–11.0 mm in the nulliparous group. The SA-distance was not significantly different. One patient had an exceptionally large SA-distance of 24 mm, probably due to insertion in the posterior wall. No follow-up could be done in this patient. In 77 women, the SA-distance was measured up to 42 months. The mean SA-distance at insertion in the parous group was 5.2 mm (range 3.0–8.5 mm and 4.8 mm (range 1.3–7.0 mm in the nulliparous group. At the last follow-up up to 36 months or longer, the SA-distance was 5.1 mm (range 3.0–8.5 mm in the parous group and 4.9 mm (range 1.3–7.0 mm in the nulliparous group. The SA-distance was not significantly different. The visualized

  17. Radon depth migration

    International Nuclear Information System (INIS)

    A depth migration method is presented that used Radon-transformed common-source seismograms as input. It is shown that the Radon depth migration method can be extended to spatially varying velocity depth models by using asymptotic ray theory (ART) to construct wavefield continuation operators. These operators downward continue an incident receiver-array plane wave and an assumed point-source wavefield into the subsurface. The migration velocity model is constrain to have longer characteristic wavelengths than the dominant source wavelength such that the ART approximations for the continuation operators are valid. This method is used successfully to migrate two synthetic data examples: (1) a point diffractor, and (2) a dipping layer and syncline interface model. It is shown that the Radon migration method has a computational advantage over the standard Kirchhoff migration method in that fewer rays are computed in a main memory implementation

  18. ON CORRELATING BIRD MIGRATION TRAJECTORY WITH CLIMATE CHANGES

    OpenAIRE

    Oleinik, Janaina; de Macedo, Jose Antonio Fernandes; Yuanjian, Wang Zufferey

    2009-01-01

    Climate changes are expected to affect bird migration in several aspects including timing changes, breeding and migration orientation. The correlation analysis of several climate conditions (e.g. temperature, wind, humidity, etc) and bird migration trajectory is the key for explaining bird behavior during migration. Moreover, the resulting correlation can be used for predicting new bird behavior according to climate changes. In this paper we propose an integrated solution for correlating bird...

  19. International Migration and Human Development in Destination Countries: A Cross-National Analysis of Less-Developed Countries, 1970-2005

    Science.gov (United States)

    Sanderson, Matthew

    2010-01-01

    Contemporary levels of international migration in less-developed countries are raising new and important questions regarding the consequences of immigration for human welfare and well-being. However, there is little systematic cross-national evidence of how international migration affects human development levels in migrant-receiving countries in…

  20. Water quality analysis in rivers with non-parametric probability distributions and fuzzy inference systems: application to the Cauca River, Colombia.

    Science.gov (United States)

    Ocampo-Duque, William; Osorio, Carolina; Piamba, Christian; Schuhmacher, Marta; Domingo, José L

    2013-02-01

    The integration of water quality monitoring variables is essential in environmental decision making. Nowadays, advanced techniques to manage subjectivity, imprecision, uncertainty, vagueness, and variability are required in such complex evaluation process. We here propose a probabilistic fuzzy hybrid model to assess river water quality. Fuzzy logic reasoning has been used to compute a water quality integrative index. By applying a Monte Carlo technique, based on non-parametric probability distributions, the randomness of model inputs was estimated. Annual histograms of nine water quality variables were built with monitoring data systematically collected in the Colombian Cauca River, and probability density estimations using the kernel smoothing method were applied to fit data. Several years were assessed, and river sectors upstream and downstream the city of Santiago de Cali, a big city with basic wastewater treatment and high industrial activity, were analyzed. The probabilistic fuzzy water quality index was able to explain the reduction in water quality, as the river receives a larger number of agriculture, domestic, and industrial effluents. The results of the hybrid model were compared to traditional water quality indexes. The main advantage of the proposed method is that it considers flexible boundaries between the linguistic qualifiers used to define the water status, being the belongingness of water quality to the diverse output fuzzy sets or classes provided with percentiles and histograms, which allows classify better the real water condition. The results of this study show that fuzzy inference systems integrated to stochastic non-parametric techniques may be used as complementary tools in water quality indexing methodologies. PMID:23266912

  1. Characterizing the International Migration Barriers with a Probabilistic Multilateral Migration Model.

    Science.gov (United States)

    Li, Xiaomeng; Xu, Hongzhong; Chen, Jiawei; Chen, Qinghua; Zhang, Jiang; Di, Zengru

    2016-01-01

    Human migration is responsible for forming modern civilization and has had an important influence on the development of various countries. There are many issues worth researching, and "the reason to move" is the most basic one. The concept of migration cost in the classical self-selection theory, which was introduced by Roy and Borjas, is useful. However, migration cost cannot address global migration because of the limitations of deterministic and bilateral choice. Following the idea of migration cost, this paper developed a new probabilistic multilateral migration model by introducing the Boltzmann factor from statistical physics. After characterizing the underlying mechanism or driving force of human mobility, we reveal some interesting facts that have provided a deeper understanding of international migration, such as the negative correlation between migration costs for emigrants and immigrants and a global classification with clear regional and economic characteristics, based on clustering of migration cost vectors. In addition, we deconstruct the migration barriers using regression analysis and find that the influencing factors are complicated but can be partly (12.5%) described by several macro indexes, such as the GDP growth of the destination country, the GNI per capita and the HDI of both the source and destination countries. PMID:27597319

  2. Malaysia and forced migration

    OpenAIRE

    Arzura Idris

    2012-01-01

    This paper analyzes the phenomenon of “forced migration” in Malaysia. It examines the nature of forced migration, the challenges faced by Malaysia, the policy responses and their impact on the country and upon the forced migrants. It considers forced migration as an event hosting multifaceted issues related and relevant to forced migrants and suggests that Malaysia has been preoccupied with the issue of forced migration movements. This is largely seen in various responses invoked from Malaysi...

  3. Unemployment, migration, and growth

    OpenAIRE

    Valerie R. Bencivenga; Bruce D. Smith

    1995-01-01

    Economic development is typically accompanied by a very pronounced migration of labor from rural to urban employment. This migration, in turn, is often associated with large scale urban underemployment. Both factors appear to play a very prominent role in the process of development. We consider a model in which rural-urban migration and urban underemployment are integrated into an otherwise conventional neoclassical growth model. Unemployment arises not from any exogenous rigidities, but from...

  4. TYPES OF MODERN MIGRATION

    OpenAIRE

    KAITMAZOVA KARINA RUSLANOVNA; CABERTI ALINA NODAROVNA

    2016-01-01

    The detailed classification of migration is analyzed, also a conclusion is drawn according to the fact that migration contributes to the development of the population of countries and regions, appearing to be a driving force and an important factor of globalization in the XXI century. Russia, also as other countries, strongly depends on migration: future of the Russian Federation depends on the fact how socially-spiritual community of Russian people will change, and also culture and values of...

  5. Many Faces of Migrations

    OpenAIRE

    Milica Antić Gaber; Marko Krevs

    2013-01-01

    Temporary or permanent, local or international, voluntary or forced, legal or illegal, registered or unregistered migrations of individuals, whole communities or individual groups are an important factor in constructing and modifying (modern) societies. The extent of international migrations is truly immense. At the time of the preparation of this publication more than 200 million people have been involved in migrations in a single year according to the United Nations. Furthermore, three time...

  6. Statistical Inference in Cosmology

    OpenAIRE

    Sellentin, Elena

    2016-01-01

    Analysis of cosmic data is the only way to determine whether General Relativity is the law of gravity also on the largest scales in our Universe. The current standard model of cosmology, ΛCDM, is based on General Relativity, and fits all currently available data flawlessly. However, theoretical dissatisfaction with ΛCDM exists: cosmological data probe gravitational interactions, and ΛCDM fits the data only because it introduces two components of startling gravitional behavio...

  7. Regional Redistribution and Migration

    DEFF Research Database (Denmark)

    Manasse, Paolo; Schultz, Christian

    We study a model with free migration between a rich and a poor region. Since there is congestion, the rich region has an incentive to give the poor region a transfer in order to reduce immigration. Faced with free migration, the rich region voluntarily chooses a transfer, which turns out to be...... equal to that a social planner would choose. Provided migration occurs in equilibrium, this conclusion holds even in the presence of moderate mobility costs. However, large migration costs will lead to suboptimal transfers in the market solution...

  8. 3D seismic expression of fluid migration and mud remobilization on the Gjallar Ridge, offshore mid-Norway

    DEFF Research Database (Denmark)

    Hansen, J.P.V.; Cartwright, J.A.; Huuse, M.;

    2005-01-01

    anomalies and possible mud volcanoes at the base Pleistocene indicating their long-term significance as vertical fluid conduits. Type C structures comprise discrete mound features that seem to jack up the Top Palaeocene (Top Brygge) horizon. These are similar to hydrothermal mounds found elsewhere on the......This paper presents a three-dimensional (3D) seismic analysis of sediment remobilization and fluid migration in a 2000-km2 area above the Gjallar Ridge located in the Vøring Basin, offshore Norway. Three distinct types of mounded structures have been identified as resulting from focused fluid....../gas migration and associated mud remobilization and intrusion. Type A structures are gently mounded, and we infer that these structures formed because of in situ remobilization of Middle Eocene to LowerMiddle Oligocene fine-grained sediments in response to fluid and minor sediment injection via deep...

  9. Family migration and the employment of married women and men.

    Science.gov (United States)

    Cooke, T J; Bailey, A J

    1996-01-01

    "This research reconsiders the human capital hypothesis that married women have a lower probability of employment after family migration. The empirical analysis focuses on a sample of married parents in the economically active population residing in the midwestern United States in 1980. Our analysis establishes that, after controlling for the effects of migration self-selection bias, family migration increases the probability of employment among married women by 9 percent but has no effect on the probability of employment among married men. This research demonstrates the limitations of the human capital model of family migration and indicates the need for reconceptualizing family migration behavior." PMID:12291230

  10. Migration flows: Political Economy of Migration and the Empirical Challenges

    OpenAIRE

    Kevin H. O'Rourke,; Richard Sinnott

    2003-01-01

    Immigration barriers began being erected in the New World in the late 19th century. They were motivated by fears that the immigration of unskilled workers would increase inequality. Controlling for economic factors, there appears to have been little independent role for factorssuch as racism or xenophobia in driving the retreat from liberal migration policies. A statistical analysis of individual voter attitudes towards immigration in the late 20th century leads to somewhat different conclusi...

  11. Unified inference for sparse and dense longitudinal models

    OpenAIRE

    Kim, Seonjin; Zhao, Zhibiao

    2013-01-01

    In longitudinal data analysis, statistical inference for sparse data and dense data could be substantially different. For kernel smoothing estimate of the mean function, the convergence rates and limiting variance functions are different under the two scenarios. The latter phenomenon poses challenges for statistical inference as a subjective choice between the sparse and dense cases may lead to wrong conclusions. We develop self-normalization based methods that can adapt to the sparse and den...

  12. From Immigration to Migration Systems: New Concepts in Migration History.

    Science.gov (United States)

    Hoerder, Dirk

    1999-01-01

    Describes the characteristics of migration systems where two or more societies are connected through migration patterns. Identifies the four major migration systems that populated North America. Reviews the literature in relation to migration systems and discusses autobiographical accounts of migration. Provides an extensive bibliography. (CMK)

  13. Multi-year analysis of the three-dimensional distribution of clouds using CloudSat data and inferences on atmospheric circulation features over the Indian region

    Science.gov (United States)

    Nair, Anish Kumar M.; Rajeev, Kunjukrishnapillai

    2012-07-01

    Long-term (2006-2011) monthly and seasonal mean vertical distributions of clouds and their spatial variations over the Indian subcontinent and surrounding oceanic regions have been derived using data obtained from the space-borne radar, CloudSat. Together with the data from space-borne imagers (Kalpana-1-VHRR and NOAA-AVHRR), this provide insight into the 3-dimensional distribution of clouds and its linkage with dominant tropical dynamical features, which are largely unexplored over the Indian region. Meridonal cross sections of ITCZ, inferred from the vertical distribution of clouds, clearly reveal the relatively narrow structure of ITCZ flanked by thick cirrus outflows in the upper troposphere on either side. The base of cirrus clouds in the outflow region significantly increases away from the ITCZ core, while the corresponding variations in cirrus top is negligible, resulting in considerable thinning of cirrus away from the ITCZ. This provides direct observational evidence for the infrared radiative heating at cloud base and its role in regulating the cirrus lifetime through sublimation. On average, the frequency of occurrence of clouds rapidly decreases with altitude in the altitude band of 12-14 km, which corresponds to the convective tropopause altitude. North-south inclination and east-west asymmetry of ITCZ during the winter season are distinctly clear in the vertical distribution of clouds, which provide information on the pathways for inter-hemispheric transport over the Indian Ocean during this season. During the Asian summer monsoon season (June-September), substantial amount of deep convective clouds are found to occur over the North Bay of Bengal, extending up to an altitude of >14 km, which is ~1-2 km higher than that over other deep convective regions. This has potential implications in the pumping of tropospheric airmass across the tropical tropopause over the region. This study characterizes a pool of inhibited cloudiness over the southwest Bay of

  14. Sensitivity analysis of the potential impact of discrepancies in stratosphere–troposphere exchange on inferred sources and sinks of CO2

    Directory of Open Access Journals (Sweden)

    F. Deng

    2015-04-01

    Full Text Available The upper troposphere and lower stratosphere (UTLS represents a transition region between the more dynamically active troposphere and more stably stratified stratosphere. The region is characterized by strong gradients in the distribution of long-lived tracers, which are sensitive to discrepancies in transport in models. We evaluate the GEOS-Chem model in the UTLS using carbon dioxide (CO2 and ozone (O3 observations from the HIAPER (The High-Performance Instrumented Airborne Platform for Environmental Research Pole-to-Pole Observations (HIPPO campaign in March 2010. GEOS-Chem CO2 / O3 correlation suggests that there is a discrepancy in mixing across the tropopause in the model, which results in an overestimate of CO2 and an underestimate of O3 in the Arctic lower stratosphere. We assimilate stratospheric O3 data from OSIRIS and used the assimilated O3 fields together with the HIPPO CO2 / O3 correlations to obtain a correction to the modeled CO2 profile in the Arctic UTLS (primarily between the 320 and 360 K isentropic surfaces. The HIPPO-derived correction corresponds to a sink of 0.13 Pg C month−1 in the Arctic. Imposing this sink during March–August 2010 results in a reduction in the CO2 sinks inferred from GOSAT observations for temperate North America, Europe, and tropical Asia of 20, 12, and 50%, respectively. Conversely, the inversion increased the source of CO2 from tropical South America by 20%. We found that the model also underestimated CO2 in the upper tropical and subtropical troposphere, which may be linked by mixing across the subtropical tropopause. Correcting for the bias relative to HIPPO in the tropical upper troposphere, by imposing a source of 0.33 Pg C, led to a reduction in the source from tropical South America by 44%, and produced a flux estimate for tropical Asia that was in agreement with the standard inversion (without the imposed source and sink. However, the seasonal transition from a source to a sink of CO2 for

  15. Population Genetic Structure and the Migration of Puccinia striiformis f. sp. tritici Between the Gansu and Sichuan Basin Populations of China.

    Science.gov (United States)

    Liang, Junmin; Liu, Xiufeng; Li, Yong; Wan, Qiong; Ma, Zhanhong; Luo, Yong

    2016-02-01

    Puccinia striiformis f. sp. tritici is the causal pathogen of interregional epidemics of wheat stripe rust in China via long-distance migration. Gansu Province serves as putative inoculum center providing oversummering inoculum, while Sichuan Basin area serves as a region providing huge amounts of overwintering inoculum. Thus, the relationship between these two regions in population exchange and migration become important in prediction of interregional epidemics. In this study, we compared the population genetic structure and race composition between Gansu and Sichuan Basin populations to infer their migration relationships. A total of 526 isolates, spanning 3 years, were genotyped using eight pairs of amplified fragment length polymorphism markers, and a subset of 98 isolates were inoculated onto 19 Chinese differentials to perform the race analysis. Twenty-three common races and 26 shared genotypes supplied molecular evidence for migration between Gansu and Sichuan Basin populations. Bayesian assignment and principal component analysis revealed that the genetic group assignment of the Sichuan Basin populations (10SB and 11SB) changed in the spring to align with the fall Gansu populations in the prior seasons (09GS and 10GS), which indicated an asymmetric migration from Gansu Province to the Sichuan Basin area. The linkage disequilibrium and the parsimony tree length permutation test revealed a strong annual recombination signal in the Gansu populations and an inconsistent signal in the Sichuan Basin populations. PMID:26506459

  16. Inferring sparse networks for noisy transient processes

    Science.gov (United States)

    Tran, Hoang M.; Bukkapatnam, Satish T. S.

    2016-02-01

    Inferring causal structures of real world complex networks from measured time series signals remains an open issue. The current approaches are inadequate to discern between direct versus indirect influences (i.e., the presence or absence of a directed arc connecting two nodes) in the presence of noise, sparse interactions, as well as nonlinear and transient dynamics of real world processes. We report a sparse regression (referred to as the -min) approach with theoretical bounds on the constraints on the allowable perturbation to recover the network structure that guarantees sparsity and robustness to noise. We also introduce averaging and perturbation procedures to further enhance prediction scores (i.e., reduce inference errors), and the numerical stability of -min approach. Extensive investigations have been conducted with multiple benchmark simulated genetic regulatory network and Michaelis-Menten dynamics, as well as real world data sets from DREAM5 challenge. These investigations suggest that our approach can significantly improve, oftentimes by 5 orders of magnitude over the methods reported previously for inferring the structure of dynamic networks, such as Bayesian network, network deconvolution, silencing and modular response analysis methods based on optimizing for sparsity, transients, noise and high dimensionality issues.

  17. We infer light in space.

    Science.gov (United States)

    Schirillo, James A

    2013-10-01

    In studies of lightness and color constancy, the terms lightness and brightness refer to the qualia corresponding to perceived surface reflectance and perceived luminance, respectively. However, what has rarely been considered is the fact that the volume of space containing surfaces appears neither empty, void, nor black, but filled with light. Helmholtz (1866/1962) came closest to describing this phenomenon when discussing inferred illumination, but previous theoretical treatments have fallen short by restricting their considerations to the surfaces of objects. The present work is among the first to explore how we infer the light present in empty space. It concludes with several research examples supporting the theory that humans can infer the differential levels and chromaticities of illumination in three-dimensional space. PMID:23435628

  18. Sick, the spectroscopic inference crank

    CERN Document Server

    Casey, Andrew R

    2016-01-01

    There exists an inordinate amount of spectral data in both public and private astronomical archives which remain severely under-utilised. The lack of reliable open-source tools for analysing large volumes of spectra contributes to this situation, which is poised to worsen as large surveys successively release orders of magnitude more spectra. In this Article I introduce sick, the spectroscopic inference crank, a flexible and fast Bayesian tool for inferring astrophysical parameters from spectra. sick can be used to provide a nearest-neighbour estimate of model parameters, a numerically optimised point estimate, or full Markov Chain Monte Carlo sampling of the posterior probability distributions. This generality empowers any astronomer to capitalise on the plethora of published synthetic and observed spectra, and make precise inferences for a host of astrophysical (and nuisance) quantities. Model intensities can be reliably approximated from existing grids of synthetic or observed spectra using linear multi-di...

  19. 1991~2000年台湾人口迁移分析%Analysis on the Evolution of Population Migration from 1991 to 2000 in Taiwan

    Institute of Scientific and Technical Information of China (English)

    刘书成; 吴荣倩; 陈焜; 王彬

    2015-01-01

    人口迁移作为一种重要的人口现象,与人口的自然增长一起影响着一个地区的人口数量、分布与构成的变化,进而影响着该地区社会经济的发展.本文立足于台湾地区1991~2000年的人口迁移数据,采用地理手段从台湾省内人口迁移、省际迁移和国际迁移三个角度来分析和研究台湾人口迁移概况,并结合台湾经济、政策、社会和文化等因素探讨导致该迁移现象的原因.%As a significant population phenomenon,population migration together with the natural growth impacts the quantities,distribution and change trends of population in one area,and the social economic development. Based on the data of population migration from 1991 to 2000 in Taiwan,this paper takes the geographical methods to analyze the general situation of population migration from the perspectives of provincial migration,and inter-provincial migration,and international migration,and to explore the reasons for migration combining with other factors such as economy,policy,society,culture,etc.

  20. Migration and Settlement: 17. Italy

    OpenAIRE

    D. Campisi; La Bella, A; Rabino, G.

    1982-01-01

    This report completes the comparative analysis of national patterns of interregional migration and spatial population growth that has been carried out by an international network of scholars that have been using methodology and computer programs developed at IIASA. In it the authors focus on two multiregional disaggregations of the Italian population system, analyzing the demographics of the 5 and 20 subnational populations that comprise the national total.

  1. Object-Oriented Type Inference

    DEFF Research Database (Denmark)

    Schwartzbach, Michael Ignatieff; Palsberg, Jens

    1991-01-01

    We present a new approach to inferring types in untyped object-oriented programs with inheritance, assignments, and late binding. It guarantees that all messages are understood, annotates the program with type information, allows polymorphic methods, and can be used as the basis of an op-timizing......We present a new approach to inferring types in untyped object-oriented programs with inheritance, assignments, and late binding. It guarantees that all messages are understood, annotates the program with type information, allows polymorphic methods, and can be used as the basis of an op...

  2. Eight challenges in phylodynamic inference

    Directory of Open Access Journals (Sweden)

    Simon D.W. Frost

    2015-03-01

    Full Text Available The field of phylodynamics, which attempts to enhance our understanding of infectious disease dynamics using pathogen phylogenies, has made great strides in the past decade. Basic epidemiological and evolutionary models are now well characterized with inferential frameworks in place. However, significant challenges remain in extending phylodynamic inference to more complex systems. These challenges include accounting for evolutionary complexities such as changing mutation rates, selection, reassortment, and recombination, as well as epidemiological complexities such as stochastic population dynamics, host population structure, and different patterns at the within-host and between-host scales. An additional challenge exists in making efficient inferences from an ever increasing corpus of sequence data.

  3. Type Inference for Bimorphic Recursion

    CERN Document Server

    Tatsuta, Makoto; 10.4204/EPTCS.54.8

    2011-01-01

    This paper proposes bimorphic recursion, which is restricted polymorphic recursion such that every recursive call in the body of a function definition has the same type. Bimorphic recursion allows us to assign two different types to a recursively defined function: one is for its recursive calls and the other is for its calls outside its definition. Bimorphic recursion in this paper can be nested. This paper shows bimorphic recursion has principal types and decidable type inference. Hence bimorphic recursion gives us flexible typing for recursion with decidable type inference. This paper also shows that its typability becomes undecidable because of nesting of recursions when one removes the instantiation property from the bimorphic recursion.

  4. Migration, klima og sundhed

    DEFF Research Database (Denmark)

    Tellier, Siri; Carballo, Manuel

    2009-01-01

    Many tentative connections have been postulated between migration and climate. This article points to rural-urban migration, particularly into low elevation urban slums prone to flooding as an issue needing urgent attention by health professionals. It also notes the no-man's land in which...

  5. Migration to Windows NT.

    Science.gov (United States)

    Doles, Daniel T.

    In the constantly changing world of technology, migration is not only inevitable but many times necessary for survival, especially when the end result is simplicity for both users and IT support staff. This paper describes the migration at Franklin College (Indiana). It discusses the reasons for selecting Windows NT, the steps taken to complete…

  6. International Migration of Couples

    DEFF Research Database (Denmark)

    Munk, Martin D.; Junge, Martin; Poutvaara, Panu

    2016-01-01

    We develop a theoretical model regarding the migration of dual-earner couples and test it in the context of international migration. Our model predicts that the probability that a couple emigrates increases with the income of the primary earner, whereas the income of the secondary earner may affect...

  7. Migration, Narration, Identity

    DEFF Research Database (Denmark)

    Leese, Peter

    (co-editor with Carly McLaughlin and Wladyslaw Witalisz) This book presents articles resulting from joint research on the representations of migration conducted in connection with the Erasmus Intensive Programme entitled «Migration and Narration» taught to groups of international students over...

  8. Migrating Art History

    DEFF Research Database (Denmark)

    Ørum, Tania

    2012-01-01

    Review of Hiroko Ikegami, The Great Migrator. Robert Rauschenberg and the Global Rise of American Art. Cambridge Mass., The MIT Press, 2010. 277 pages. ISBN 978-0-262-01425-0.......Review of Hiroko Ikegami, The Great Migrator. Robert Rauschenberg and the Global Rise of American Art. Cambridge Mass., The MIT Press, 2010. 277 pages. ISBN 978-0-262-01425-0....

  9. Migrating for a Profession

    DEFF Research Database (Denmark)

    Olwig, Karen Fog

    2015-01-01

    Youths from the Global South migrating for further education often face various forms of discrimination. This Caribbean case study discusses how conditions in the home country can provide a foundation for educational migration that helps the migrants overcome such obstacles and even develop a...

  10. Samtidskunst og migration

    DEFF Research Database (Denmark)

    Petersen, Anne Ring

    2010-01-01

    "Samtidskunst og migration. En oversigt over faglitteraturen" er en forskningsoversigt der gør status over hvad der hidtil er skrevet inden for det kunsthistoriske område om vor tids billedkunst og migration som politisk, socialt og kulturelt fænomen, primært i forbindelse med immigration til...

  11. Migration and Rural Development

    OpenAIRE

    Robert E. B. Lucas

    2007-01-01

    The paper summarizes the key routes through which internal and international migration impact rural development and some of the evidence pertaining to these effects in low income countries. It concludes that, although the study of migration impacts on rural economies has come a long way from the early dual theories of development, some of the potentially more important aspects remain to be investigated systematically.

  12. Environmental change and migration

    Czech Academy of Sciences Publication Activity Database

    Stojanov, Robert

    Santa Barbara, Calif : Praeger, 2012 - (Segal, U.; Elliot, D.), s. 55-89 ISBN 978-0-313-37807-2 R&D Projects: GA MŠk(CZ) ED1.1.00/02.0073 Institutional research plan: CEZ:AV0Z60870520 Keywords : migration processes * environmental change * climate change * environmental migrants * human migration Subject RIV: AO - Sociology, Demography

  13. Bayesian inference of the demographic history of chimpanzees.

    Science.gov (United States)

    Wegmann, Daniel; Excoffier, Laurent

    2010-06-01

    Due to an almost complete absence of fossil record, the evolutionary history of chimpanzees has only been studied recently on the basis of genetic data. Although the general topology of the chimpanzee phylogeny is well established, uncertainties remain concerning the size of current and past populations, the occurrence of bottlenecks or population expansions, or about divergence times and migrations rates between subspecies. Here, we present a novel attempt at globally inferring the detailed evolution of the Pan genus based on approximate Bayesian computation, an approach preferentially applied to complex models where the likelihood cannot be computed analytically. Based on two microsatellite and DNA sequence data sets and adjusting simulated data for local levels of inbreeding and patterns of missing data, we find support for several new features of chimpanzee evolution as compared with previous studies based on smaller data sets and simpler evolutionary models. We find that the central chimpanzees are certainly the oldest population of all P. troglodytes subspecies and that the other two P. t. subspecies diverged from the central chimpanzees by founder events. We also find an older divergence time (1.6 million years [My]) between common chimpanzee and Bonobos than previous studies (0.9-1.3 My), but this divergence appears to have been very progressive with the maintenance of relatively high levels of gene flow between the ancestral chimpanzee population and the Bonobos. Finally, we could also confirm the existence of strong unidirectional gene flow from the western into the central chimpanzee. These results show that interesting and innovative features of chimpanzee history emerge when considering their whole evolutionary history in a single analysis, rather than relying on simpler models involving several comparisons of pairs of populations. PMID:20118191

  14. Inference Concerning Physical Systems

    Science.gov (United States)

    Wolpert, David H.

    The question of whether the universe "is" just an information- processing system has been extensively studied in physics. To address this issue, the canonical forms of information processing in physical systems - observation, prediction, control and memory - were analyzed in [24]. Those forms of information processing are all inherently epistemological; they transfer information concerning the universe as a whole into a scientist's mind. Accordingly, [24] formalized the logical relationship that must hold between the state of a scientist's mind and the state of the universe containing the scientist whenever one of those processes is successful. This formalization has close analogs in the analysis of Turing machines. In particular, it can be used to define an "informational analog" of algorithmic information complexity. In addition, this formalization allows us to establish existence and impossibility results concerning observation, prediction, control and memory. The impossibility results establish that Laplace was wrong to claim that even in a classical, non-chaotic universe the future can be unerringly predicted, given sufficient knowledge of the present. Alternatively, the impossibility results can be viewed as a non-quantum mechanical "uncertainty principle". Here I present a novel motivation of the formalization introduced in [24] and extend some of the associated impossibility results.

  15. Malaysia and forced migration

    Directory of Open Access Journals (Sweden)

    Arzura Idris

    2012-06-01

    Full Text Available This paper analyzes the phenomenon of “forced migration” in Malaysia. It examines the nature of forced migration, the challenges faced by Malaysia, the policy responses and their impact on the country and upon the forced migrants. It considers forced migration as an event hosting multifaceted issues related and relevant to forced migrants and suggests that Malaysia has been preoccupied with the issue of forced migration movements. This is largely seen in various responses invoked from Malaysia due to “south-south forced migration movements.” These responses are, however, inadequate in terms of commitment to the international refugee regime. While Malaysia did respond to economic and migration challenges, the paper asserts that such efforts are futile if she ignores issues critical to forced migrants.

  16. Migration of health workers.

    Science.gov (United States)

    Buchan, James

    2008-01-01

    The discussion and debate stimulated by these papers focused across a range of issues but there were four main areas of questioning: "measuring" and monitoring migration (issues related to comparability, completeness and accuracy of data sets on human resources); the impact of migration of health workers on health systems; the motivations of individual health workers to migrate (the "push" and "pull" factors) and the effect of policies designed either to reduce migration (e.g "self ufficiency") or to stimulate it (e.g active international recruitment). It was recognised that there was a critical need to examine migratory flows within the broader context of all health care labour market dynamics within a country, that increasing migration of health workers was an inevitable consequence of globalisation, and that there was a critical need to improve monitoring so as to better inform policy formulation and policy testing in this area. PMID:18561695

  17. Chemometric analysis of frequency-domain photon migration data: quantitative measurements of optical properties and chromophore concentrations in multicomponent turbid media

    International Nuclear Information System (INIS)

    Frequency-domain photon migration (FDPM) is a widely used technique for measuring the optical properties (i.e., absorption, μa, and reduced scattering, μs', coefficients) of turbid samples. Typically, FDPM data analysis is performed with models based on a photon diffusion equation; however, analytical solutions are difficult to obtain for many realistic geometries. Here, we describe the use of models based instead on representative samples and multivariate calibration (chemometrics). FDPM data at seven wavelengths (ranging from 674 to 956 nm) and multiple modulation frequencies (ranging from 50 to 600 MHz) were gathered from turbid samples containing mixtures of three absorbing dyes. Values for μa and μs' were extracted from the FDPM data in different ways, first with the diffusion theory and then with the chemometric technique of partial least squares. Dye concentrations were determined from the FDPM data by three methods, first by least-squares fits to the diffusion results and then by two chemometric approaches. The accuracy of the chemometric predictions was comparable or superior for all three dyes. Our results indicate that chemometrics can recover optical properties and dye concentrations from the frequency-dependent behavior of photon density waves, without the need for diffusion-based models. Future applications to more complicated geometries, lower-scattering samples, and simpler FDPM instrumentation are discussed. (c) 2000 Optical Society of America

  18. Application of micro-PIXE analysis for a migration history study of Hucho perryi focused on strontium distribution in fish scales

    International Nuclear Information System (INIS)

    Sakhalin taimen, Hucho perryi, is one of the largest freshwater fish in Japan, where it is close to extinction because of indiscriminate fishing, water pollution, and river construction. Interpretable ecological information about the species, however, is scarce. We examined the migration history of H. perryi by analysis of strontium (Sr) content in fish scales using inductively coupled plasma mass spectrometry and Sr distributions associated with ridges (growth lines) in the scales, with micro-beam scanning PIXE (micro-PIXE) analyses. Sr levels in the scales of H. perryi collected along the Sarufutsu coast were higher than those of salmonid collected at Shumarinai, a freshwater lake. Micro-PIXE line analyses showed that the scale Sr values of the Shumarinai Lake samples remained consistently low from the edge toward the core of the scales. The Sr values from the Sarufutsu coast samples remained relatively high from the edge toward the core; Sr levels from second to fourth position from the edge were about ten times higher than the mean levels of Shumarinai Lake samples. These results suggested that H. perryi from the Sarufutsu Coast had experienced the marine environment. (author)

  19. Migration matrices and surnames in populations with different isolation patterns: Val di Lima (Italian Apennines), Val di Sole (Italian Alps), and La Cabrera (Spain).

    Science.gov (United States)

    Boattini, Alessio; Calboli, Federico C F; Blanco Villegas, Maria José; Gueresi, Paola; Franceschi, Marcello G; Paoli, Giorgio; Cavicchi, Sandro; Pettener, Davide

    2006-01-01

    Biodemographic methods are widely used to infer the genetic structure of human populations. In this study, we revise and standardize the procedures required by the migration matrix model of Malécot ([1950] Ann Univ Lyon Sci [A] 13:37-60), testing it in large historical-demographic databases of 85 populations from three mountain valleys with different degrees of isolation: Val di Lima (Italian Apennines, 21 parishes), Val di Sole, (Italian Alps, 27 parishes), and La Cabrera (Spain, 37 parishes). An add-on package (Biodem) for the R program is proposed to perform all calculations. Results from migration matrices are compared with those obtained from isonymic relationships. Migration and isonymy matrices are derived from 22,781 marriage records. Matrices are analyzed using a nonlinear isolation-by-distance (IBD) model and multivariate techniques (multidimensional scaling, Procrustes rotation, and cluster analysis). Microdifferentiation levels (F(ST)) from the migration data agree with the observed inbreeding values: higher values are found in La Cabrera (F(ST) = 0.0082), the most isolated population; Val di Lima (F(ST) = 0.0015) and Val di Sole (F(ST) = 0.0012) have lower values due to the larger parish population sizes and greater mobility. Temporal changes of F(ST) and IBD are analyzed using the migration matrix approach. The populations show a marked decline in F(ST) values in time, together with increased population mobility and emigration rates. In all three valleys, marital migration and isonymy yield similar results, suggesting that geographic distance is the most important factor structuring the populations. However, isonymy shows a lower correlation with geographic distance than migration matrices do. This difference can be attributed to the differing sensitivity of the methods for past migration events, and to genetic drift. PMID:16917890

  20. Inference of population splits and mixtures from genome-wide allele frequency data.

    Directory of Open Access Journals (Sweden)

    Joseph K Pickrell

    Full Text Available Many aspects of the historical relationships between populations in a species are reflected in genetic data. Inferring these relationships from genetic data, however, remains a challenging task. In this paper, we present a statistical model for inferring the patterns of population splits and mixtures in multiple populations. In our model, the sampled populations in a species are related to their common ancestor through a graph of ancestral populations. Using genome-wide allele frequency data and a Gaussian approximation to genetic drift, we infer the structure of this graph. We applied this method to a set of 55 human populations and a set of 82 dog breeds and wild canids. In both species, we show that a simple bifurcating tree does not fully describe the data; in contrast, we infer many migration events. While some of the migration events that we find have been detected previously, many have not. For example, in the human data, we infer that Cambodians trace approximately 16% of their ancestry to a population ancestral to other extant East Asian populations. In the dog data, we infer that both the boxer and basenji trace a considerable fraction of their ancestry (9% and 25%, respectively to wolves subsequent to domestication and that East Asian toy breeds (the Shih Tzu and the Pekingese result from admixture between modern toy breeds and "ancient" Asian breeds. Software implementing the model described here, called TreeMix, is available at http://treemix.googlecode.com.

  1. Methods for Bayesian power spectrum inference with galaxy surveys

    CERN Document Server

    Jasche, Jens

    2013-01-01

    We derive and implement a full Bayesian large scale structure inference method aiming at precision recovery of the cosmological power spectrum from galaxy redshift surveys. Our approach improves over previous Bayesian methods by performing a joint inference of the three dimensional density field, the cosmological power spectrum, luminosity dependent galaxy biases and corresponding normalizations. We account for all joint and correlated uncertainties between all inferred quantities. Classes of galaxies with different biases are treated as separate sub samples. The method therefore also allows the combined analysis of more than one galaxy survey. In particular, it solves the problem of inferring the power spectrum from galaxy surveys with non-trivial survey geometries by exploring the joint posterior distribution with efficient implementations of multiple block Markov chain and Hybrid Monte Carlo methods. Our Markov sampler achieves high statistical efficiency in low signal to noise regimes by using a determini...

  2. Computational Analysis of mRNA Expression Profiles Identifies the ITG Family and PIK3R3 as Crucial Genes for Regulating Triple Negative Breast Cancer Cell Migration

    Directory of Open Access Journals (Sweden)

    Sukhontip Klahan

    2014-01-01

    Full Text Available Triple-negative breast cancer (TNBC is an aggressive type of breast cancer that does not express estrogen receptor (ER, progesterone receptor (PR, and human epidermal growth factor receptor (Her2/neu. TNBC has worse clinical outcomes than other breast cancer subtypes. However, the key molecules and mechanisms of TNBC migration remain unclear. In this study, we compared two normalized microarray datasets from GEO database between Asian (GSE33926 and non-Asian populations (GSE46581 to determine the molecules and common pathways in TNBC migration. We demonstrated that 16 genes in non-Asian samples and 9 genes in Asian samples are related to TNBC migration. In addition, our analytic results showed that 4 genes, PIK3R3, ITGB1, ITGAL, and ITGA6, were involved in the regulation of actin cytoskeleton. Our results indicated potential genes that link to TNBC migration. This study may help identify novel therapeutic targets for drug development in cancer therapy.

  3. Analysis of migration of press-fit porous-coated acetabular components with medial lucencies using Ein-Bild-Roentegen-Analyse.

    Science.gov (United States)

    Sadeghi, Cameron; Gibson, Anthony G; Ries, Michael D

    2012-08-01

    A total of 136 patients who underwent total hip arthroplasty (154 hips) with press-fit acetabular components were evaluated for the presence of medial radiographic lucencies. Thirty patients (22.1%) demonstrated radiolucencies greater than 1 mm in zone 2 on initial postoperative films. Ein-Bild-Roentegen-Analyse (EBRA) was used to evaluate component migration over a 5-year follow-up period. Migration, measured by EBRA, was not observed during the first 6 months when the radiolucencies were noted to disappear. After 2 years, the mean total migration was 0.8 mm, and at 5 years, it was 1.6 mm. Our results indicate that disappearance of a medial radiolucency seen on early postoperative radiographs is not associated with component migration, which supports the concept that the medial radiolucency fills in with bone or represents bony remodeling around a stable implant. PMID:22177796

  4. Type Inference of Turbo Pascal

    DEFF Research Database (Denmark)

    Hougaard, Ole Ildsgaard; Schwartzbach, Michael I; Askari, Hosein

    1995-01-01

    Type inference is generally thought of as being an exclusive property of the functional programming paradigm. We argue that such a feature may be of significant benefit for also standard imperative languages. We present a working tool (available by WWW) providing these benefits for a full version...

  5. Improving Explanatory Inferences from Assessments

    Science.gov (United States)

    Diakow, Ronli Phyllis

    2013-01-01

    This dissertation comprises three papers that propose, discuss, and illustrate models to make improved inferences about research questions regarding student achievement in education. Addressing the types of questions common in educational research today requires three different "extensions" to traditional educational assessment: (1)…

  6. COMPARATIVE ANALYSIS OF THE IMPACT OF LABOR OUT MIGRATION AND REMITTANCES ON INCOME AND RICE PRODUCTIVITY IN THE PHILIPPINES, THAILAND AND VIETNAM

    OpenAIRE

    Paris, Thelma R.; Rola-Rubzen, Maria Fay; Luis, Joyce; Thi Ngoc Chi, Truong; Wongsanum, Chaicharn; Villanueva, Donald

    2009-01-01

    Out migration from rural areas is increasingly becoming a strategy to get out of poverty. While rice–based agriculture remains to be the backbone in Southeast Asia, majority of the farming households particularly those who produce rice under rainfed conditions remain poor and insecure. This paper examines the relationship between migration and other socio-economic factors on household income using data from 1,874 rice sample farming households in Vietnam (north and south), Thailand (northeast...

  7. Organised labour and migration in the global age: a comparative analysis of trade union responses to migrant labour in Austria, Germany, Ireland and the UK

    OpenAIRE

    Krings, Torben

    2009-01-01

    Trade unions face multiple challenges at the beginning of the twenty-first century, including increased inward migration. The accession of eight countries from Central and Eastern Europe to the EU in 2004 in particular has created a new dynamic of labour migration in Europe, sometimes raising concerns about social dumping and a ‘race to the bottom’. In the context of the weakening of organised labour, the deregulation of national labour markets and the spread of rather precarious employment r...

  8. Analysis and visualization of the glass eel behavior (Anguilla anguilla) in the Adour estuary and estimate of its upstream migration speed

    OpenAIRE

    Prouzet, Patrick; Odunlami, Marc; Duquesne, Elise; Boussouar, Ahmed

    2009-01-01

    The studies carried out on the Adour estuary on the migration of glass eels lead to the characterisation of their swimming behavior. Individuals migrate passively with the flood tide current behind the dynamic tide front, and their movements into the water column are linked to the surrounding luminosity and water turbidity. A numerical model was built from observations gathered on glass eel densities during scientific surveys. It uses the outputs of a hydrodynamic model accounting for the var...

  9. Traction stress analysis and modeling reveal that amoeboid migration in confined spaces is accompanied by expansive forces and requires the structural integrity of the membrane-cortex interactions.

    Science.gov (United States)

    Yip, Ai Kia; Chiam, Keng-Hwee; Matsudaira, Paul

    2015-10-01

    Leukocytes and tumor cells migrate via rapid shape changes in an amoeboid-like manner, distinct from mesenchymal cells such as fibroblasts. However, the mechanisms of how rapid shape changes are caused and how they lead to migration in the amoeboid mode are still unclear. In this study, we confined differentiated human promyelocytic leukemia cells between opposing surfaces of two pieces of polyacrylamide gels and characterized the mechanics of fibronectin-dependent mesenchymal versus fibronectin-independent amoeboid migration. On fibronectin-coated gels, the cells form lamellipodia and migrate mesenchymally. Whereas in the absence of cell-substrate adhesions through fibronectin, the same cells migrate by producing blebs and "chimneying" between the gel sheets. To identify the orientation and to quantify the magnitude of the traction forces, we found by traction force microscopy that expanding blebs push into the gels and generate anchoring stresses whose magnitude increases with decreasing gap size while the resulting migration speed is highest at an intermediate gap size. To understand why there exists such an optimal gap size for migration, we developed a computational model and showed that the chimneying speed depends on both the magnitude of intracellular pressure as well as the distribution of blebs around the cell periphery. The model also predicts that the optimal gap size increases with weakening cell membrane to actin cortex adhesion strength. We verified this prediction experimentally, by weakening the membrane-cortex adhesion strength using the ezrin inhibitor, baicalein. Thus, the chimneying mode of amoeboid migration requires a balance between intracellular pressure and membrane-cortex adhesion strength. PMID:26050549

  10. Phylogenetic relationships of some species of the family Echinostomatidae Odner, 1910 ( Trematoda ), inferred from nuclear rDNA sequences and karyological analysis

    OpenAIRE

    Gražina Stanevičiūtė; Virmantas Stunžėnas; Romualda Petkevičiūtė

    2015-01-01

    Abstract The family Echinostomatidae Looss, 1899 exhibits a substantial taxonomic diversity, morphological criteria adopted by different authors have resulted in its subdivision into an impressive number of subfamilies. The status of the subfamily Echinochasminae Odhner, 1910 was changed in various classifications. Genetic characteristics and phylogenetic analysis of four Echinostomatidae species – Echinochasmus sp., Echinochasmus coaxatus Dietz, 1909, Stephanoprora pseudoechinata (Olsson, 18...

  11. Determinants on Rural-Urban Labor Migration in China: Empirical Analysis on the Effect of Rural Cooperate Medical Insurance based on Cross-Sectional and Longitudinal Data%Determinants on Rural-Urban Labor Migration in China: Empirical Analysis on the Effect of Rural Cooperate Medical Insurance based on Cross-Sectional and Longitudinal Data

    Institute of Scientific and Technical Information of China (English)

    Jiang Yong; Hart Xiangyang; Wang Shumei; Jiang Huayun; Wang Shanshan

    2012-01-01

    This paper studies factors influencing rural-urban la- bor migration in China, particularly the implementation of rural cooperative medical insurance (RCMI) in the year 2003. With the support of data analysis from the year 2000, 2004 and 2006, clear linear correlations are found between gender, income, health con- dition and rural-urban labor flow, whereas the impact of education and employment status are more complicated. More importantly, results from regression show that the establishment of RCMI in countryside of China not only inhibits rural residents from seeking employment outside the village, but also pulls back rural people who have already worked in cities. When regional dimension is concerned, the pure composite effect of RCMI on rural labor flow is less significant in coastal areas with better economic perfor- mance and medical service.

  12. Analysis of oil migration in one and two-stage heat pumps; Analyse de la migration d'huile dans les pompes a chaleur mono- et bi-etagees

    Energy Technology Data Exchange (ETDEWEB)

    Zehnder, M.; Favrat, D.

    2003-07-01

    This final report for the Swiss Federal Office of Energy SFOE describes work done at the Swiss Federal Institute of Technology in Lausanne, Switzerland, as part of the Swiss Retrofit Heat Pump project that examines ways of replacing traditional oil-fired domestic heating systems with heat pumps. The apparatus used to investigate the migration of oil within the refrigeration circuit of a purpose-built air-water heat pump is described. The construction of the heat pump, which could be operated in single or two-stage mode, is described and the results obtained from the investigations are presented. The properties of lubricants used in heat pumps are discussed and the techniques used to measure the oil concentration in the various parts of the refrigeration cycle, which include the use of an infra-red spectrometer, are described.

  13. Photometric analysis of the corona during the 20 March 2015 total solar eclipse: density structures, hydrostatic temperatures and magnetic field inference.

    Science.gov (United States)

    Bazin, C.; Vilinga, J.; Wittich, R.; Koutchmy, S.; Mouette, J.; Nitschelm, C.

    2015-12-01

    We present some new accurate CCD photometry analysis of the white light solar corona at the time of the last 20 March 2015 total eclipse (airborne observations on a Falcon 7X and at ground-based- Svalbard). We measured coronal brightness profiles taken along radial directions from 1.001 to 3 solar radii in the northern, southern and equatorial regions, after removing the F-corona and the sky background. These studies allow to evaluate the density gradients, structures and temperature heterogeneity, by considering the Thomson scattering in white light of the K- corona and also emissions of the EUV Fe XII 193A (1 to 2 MK) and Fe XI 171/174 (lower temperature) simultaneously observed by SDO/AIA and SWAP/Proba2 space missions. Some dispersion between the regions is noticed. The limitation of the hydrostatic equilibrium assumption in the solar atmosphere is discussed as well as the contribution of the magnetic field pressure gradients as illustrated by a comparison with the model stationary magnetic corona from Predictive Sc. Inc. These results are compared with the results of the quieter 2010 total solar eclipse corona analyzed with the same method. This photometric analysis of the inner and intermediate white light corona will contribute to the preparation of the Aspiics/Proba 3 flying formation future coronagraphic mission of ESA for new investigation at time of artificial eclipses produced in Space. Note that Aspiics will also observe in the He I D3 line at 5876 A, and will record intensities of the Fe XIV line 5303A simultaneously with the analysis of the orange white- light continuum, including precise polarimetry analysis. .

  14. Comparative Feeding Ecology of Bull Sharks (Carcharhinus leucas) in the Coastal Waters of the Southwest Indian Ocean Inferred from Stable Isotope Analysis

    OpenAIRE

    Ryan Daly; Pierre W Froneman; Smale, Malcolm J.

    2013-01-01

    As apex predators, sharks play an important role shaping their respective marine communities through predation and associated risk effects. Understanding the predatory dynamics of sharks within communities is, therefore, necessary to establish effective ecologically based conservation strategies. We employed non-lethal sampling methods to investigate the feeding ecology of bull sharks (Carcharhinus leucas) using stable isotope analysis within a subtropical marine community in the southwest In...

  15. Multi-stage emplacement of the Götemar Pluton, SE Sweden: new evidence inferred from field observations and microfabric analysis, including cathodoluminescence microscopy

    OpenAIRE

    Friese, Nadine; Vollbrecht, Axel; Tanner, David; Fahlbusch, Wiebke; Weidemann, Miriam

    2011-01-01

    The emplacement of the Mesoproterozoic Götemar Pluton into Paleoproterozoic granitoid host rocks of the Transscandinavian Igneous Belt is re-examined by microfabric analysis, including cathodoluminescence microscopy. Field data on the pluton-host rock system are used to strengthen the model. The Götemar Pluton, situated on the Baltic Shield of SE Sweden, is a horizontally zoned tabular structure that was constructed by the intrusion of successive pulses of magma with different crystal/melt ra...

  16. Migration, Skills and Productivity

    OpenAIRE

    Robert Hierländer; Peter Huber; Anna Iara; Michael Landesmann; Klaus Nowotny; Mary O'Mahony; Fei Peng; Catherine Robinson; Robert Stehrer

    2010-01-01

    The literature on international migration has repeatedly emphasized that the extent and structure of migration has an important impact on the competitiveness of regions and countries. This report provides an overview of the extent and the potential effects of high-skill migration to the EU27. It shows how many high-skilled migrants live in the EU, where these migrants come from, and how the European Union is positioned in the international competition for talent. Second, we examine how high-s...

  17. Migration of the model HCR to the SAIC/TRC in the analysis of human reliability of the APS de CN Vandellos II; Migracion del modelo HCR al SAIC/TRC en el analisis de fiabilidad humana del APS de CN Vandellos II

    Energy Technology Data Exchange (ETDEWEB)

    Nos, V.; Rosa, J. C. de la; Hernandez, H.

    2011-07-01

    This paper describes the systematics of adaptation and conversion of models, to migrate the detailed analysis of human actions from the APS (in operation at power) of NPP Vandellos, which uses the HCR to SAIC-CRT model. Are offered the results achieved after the migration and the main conclusions.

  18. Amplitude-preserving plane-wave prestack time migration for AVO analysis%用于AVO分析的振幅保真平面波叠前时间偏移

    Institute of Scientific and Technical Information of China (English)

    王棣; 程玖兵; 郑晓东; 王华忠; 马在田

    2008-01-01

    To support amplitude variation with offset (AVO) analysis in complex structure areas, we introduce an amplitude-preserving plane-wave prestack time migration approach based on the double-square-root wave equation in media with little lateral velocity variation.In its implementation, a data mapping algorithm is used to obtain offset-plane-wave data sets from the common-midpoint gathers followed by a non-recursive phase-shift solution with amplitude correction to generate common-image gathers in offset-ray-parameter domain and a structural image. Theoretical model tests and a real data example show that our prestack time migration approach is helpful for AVO analysis in complex geological environments.

  19. Migration og etnicitet

    DEFF Research Database (Denmark)

    Christiansen, Connie Carøe

    2004-01-01

    Migration og etnicitet er aktuelle og forbundne fænomener, idet migration øger berøringsfladerne mellem befolkningsgrupper. Etniciteter formes i takt med at grænser drages imellem disse grupper. Imod moderniserings-teoriernes forventning forsvandt etnicitet ikke som en traditionel eller oprindelig...... måde at skabe tilhørsforhold på; globalt set fremstår vor tid istedet som en "migrationens tidsalder", der tilsyneladende også er en tidsalder, hvor kulturelle særtræk, i form af etnicitet, udgør vigtige linjer, hvorefter grupper skilller sig ud fra hinanden. Både migration og etnicitet bringer fokus...... den finder sted i modtagerlandet, men nyere perspektiver på migration, som begreber om medborgerskab, transnationalisme og diaspora er eksponenter for, søger udover den nationalstatslige ramme og inddrager konsekvenserne af migrationen for afsenderlande....

  20. Inferring LGM sedimentary and climatic changes in the southern Eastern Alps foreland through the analysis of a 14C ages database (Brenta megafan, Italy)

    Science.gov (United States)

    Rossato, Sandro; Mozzi, Paolo

    2016-09-01

    The analysis of a database of radiocarbon ages is proposed as a tool for investigating major glaciofluvial systems of the Last Glacial Maximum (LGM) in the Alpine foreland, and their relations with glacier dynamics and climatic fluctuations. Our research concerns the Brenta megafan (NE Italy), where 110 radiocarbon dates integrate a robust regional stratigraphic and palaeoclimatic framework. Age-depth models allowed us to calculate sedimentation rates, while the time distribution of peat layers, which recurrently formed in this region during the LGM, were estimated through meta-analysis. The reliability of statistical results was carefully evaluated using Pearson and Spearman coefficients. Sedimentation rates in the Brenta megafan markedly fluctuated during LGM: ≈1.8 m/ka between 40 and 26.7 ka cal BP; ≈3 m/ka between 26.7 and 23.8 ka cal BP and ≈1.4 m/ka from 23.8 to 17.5 ka cal BP, when the distributary system deactivated due to fan-head trenching. This is evidence that sediment input and routing in the glaciofluvial distributary system was particularly efficient during the central part of LGM, when glaciers were stable at their outermost position. Meta-analysis indicates an increase in peat formation in correspondence with global (Heinrich Event 3 and/or the Greenland Interstadial 5.1 and 4 for the 30.5, 29.6 and 28.8 ka cal BP peaks) and regional (23.5 ka cal BP) wet events. Other peaks at 22.2, 21.8, 20.2 and 19 ka cal BP correlate with fluctuations of south-eastern Alpine glaciers. Significant peat formation continued until ≈18 ka cal BP, when the last peak occurred. A marked decrease in peat formation is recorded concomitantly with the onset of Heinrich Event 2 (i.e. the 26 ka cal BP trough). The good correspondence of sedimentary events in the Brenta glaciofluvial system with the dynamics of glaciers and glaciofluvial and lacustrine systems in the southern Eastern Alps suggests a common climatic forcing on the whole region during the LGM. Peat layer