Application of program packages EMTDC and matlab in the analysis of impact of neutral point operating regime on the magnitude of touch Voltage

This paper introduces a method for power system modeling during the earth fault. The possibility of using this method for selection and adjustment of earth fault protection is pointed out. The paper also contains the comparison of results achieved by simulation with the experimental measurements.

Toddler subtraction with large sets: further evidence for an analog-magnitude representation of number

Two experiments were conducted to test the hypothesis that toddlers have access to an analog-magnitude number representation that supports numerical reasoning about relatively large numbers. Three-year-olds were presented with subtraction problems in which initial set size and proportions subtracted were systematically varied. Two sets of cookies were presented and then covered The experimenter visibly subtracted cookies from the hidden sets, and the children were asked to choose which of the resulting sets had more. In Experiment 1, performance was above chance when high proportions of objects (3 versus 6) were subtracted from large sets (of 9) and for the subset of older participants (older than 3 years, 5 months; n = 15), performance was also above chance when high proportions (10 versus 20) were subtracted from the very large sets (of 30). In Experiment 2, which was conducted exclusively with older 3-year-olds and incorporated an important methodological control, the pattern of results for the subtraction tasks was replicated In both experiments, success on the tasks was not related to counting ability. The results of these experiments support the hypothesis that young children have access to an analog-magnitude system for representing large approximate quantities, as performance on these subtraction tasks showed a Webers Law signature, and was independent of conventional number knowledge.

Magnitude da morbidade relacionada ao trabalho no Rio Grande do Norte

Diseases and disorders related to work sets up an important public health problem in Brazil and worldwide. However, the reality of these diseases still constitutes a gap with regard to its characterization and epidemiological situation, especially in Brazil. In this context, this study aims to analyze the magnitude of morbidity related to work from the injuries and illnesses reported by Health the Diseases Notifiable of Health of the State Public River Health Department worker Reference Center Information System services Grande do Norte from 2007 to 2014. It is ecological study, quantitative cross-sectional study in which the analysis unit of the municipalities of Rio Grande do Norte. Data were collected from the state base of Diseases Notifiable Information System Centre of the Secretariat of State Workers' Health Reference Public Health of Rio Grande do Norte, between March and June 2015, after the approval of the Committee of Ethics in Research of the Federal University of Rio Grande do Norte, Opinion 014/2014. The population was represented by the universe of cases of diseases and disorders related to work that were reported and shut down the system from 2007 to 2014. Data were analyzed using descriptive and inferential statistics, presented in tables, graphs, charts and figures. For this, we used the Microsoft Excel 2007 and SPSS version 20.0. To check the significance level we opted for the application of the chi-square or Fisher tests. We adopted the significance level of p <0.05. Of the 10,161 cases of diseases related to the reported work, the biological work accidents had the highest percentage (52.84%) followed by serious occupational accidents (37.49%). For diseases, the highlights were musculoskeletal (4.82%), mental disorders (2.19%) and exogenous intoxication (1.97%). Among men, there was a predominance of major accidents (91.80%), mental disorders (70.00%) and exogenous poisoning (52.84%). Women were most affected by biological accidents (77.50%) and musculoskeletal diseases (64.10%). Among workers who have suffered injuries predominated mulatto (%), mean age of 35.86 years, low education (%) and workers in the formal sector (%). Among the accidents, biological (n = 5,369) accounted for 52.84% of cases occurred predominantly among nursing professionals (48.31%). The percutaneous exposure was the most frequent (73.05%) and the occurrence of circumstances was improper disposal of sharps (45.28%), the needle the most common agent (66.62%) and the organic material was blood (72.99%). Most injured workers were vaccinated against hepatitis B (68.13%), but no information as to the assessment of the vaccine response. In the course of the disease predominated ignored the situation with loss of monitoring of clinical follow-up (55.62%). There was also an increase in the notification of serious industrial accidents predominantly male (91.80%) workers aged 25-44 years (54.3%) and typical accidents (76.3%). The temporary disability was the most common outcome (55.53%) and hand the most affected part (33.00%); the mining and construction industry had the highest number of cases (25.1%) in registered employee (34.2%). The findings of this study show a positive result in relation to increased mandatory reporting of injuries and illnesses related to work together to health services that meet victimized workers, towards the occurrence of knowledge of these accidents for decision making in public plans and policies of health. However, the information system still needs improvement in both the coverage and the quality of the data to demonstrate with greater reliability the magnitude of events to support the planning of workers' health into shares in the state.

Methylmercury varies more than one order of magnitude in commercial European rice

P.M. thanks the Royal Thai Government for funding and C.C.B. thanks the School of Natural and Computing Science and PS Analytical for funding.

Methods for Imputing Missing Values and Synthesizing Confidential Values for Continuous and Magnitude Data

Abstract

Continuous variable is one of the major data types collected by the survey organizations. It can be incomplete such that the data collectors need to fill in the missingness. Or, it can contain sensitive information which needs protection from re-identification. One of the approaches to protect continuous microdata is to sum them up according to different cells of features. In this thesis, I represents novel methods of multiple imputation (MI) that can be applied to impute missing values and synthesize confidential values for continuous and magnitude data.

The first method is for limiting the disclosure risk of the continuous microdata whose marginal sums are fixed. The motivation for developing such a method comes from the magnitude tables of non-negative integer values in economic surveys. I present approaches based on a mixture of Poisson distributions to describe the multivariate distribution so that the marginals of the synthetic data are guaranteed to sum to the original totals. At the same time, I present methods for assessing disclosure risks in releasing such synthetic magnitude microdata. The illustration on a survey of manufacturing establishments shows that the disclosure risks are low while the information loss is acceptable.

The second method is for releasing synthetic continuous micro data by a nonstandard MI method. Traditionally, MI fits a model on the confidential values and then generates multiple synthetic datasets from this model. Its disclosure risk tends to be high, especially when the original data contain extreme values. I present a nonstandard MI approach conditioned on the protective intervals. Its basic idea is to estimate the model parameters from these intervals rather than the confidential values. The encouraging results of simple simulation studies suggest the potential of this new approach in limiting the posterior disclosure risk.

The third method is for imputing missing values in continuous and categorical variables. It is extended from a hierarchically coupled mixture model with local dependence. However, the new method separates the variables into non-focused (e.g., almost-fully-observed) and focused (e.g., missing-a-lot) ones. The sub-model structure of focused variables is more complex than that of non-focused ones. At the same time, their cluster indicators are linked together by tensor factorization and the focused continuous variables depend locally on non-focused values. The model properties suggest that moving the strongly associated non-focused variables to the side of focused ones can help to improve estimation accuracy, which is examined by several simulation studies. And this method is applied to data from the American Community Survey.

Quantifying and Modeling the Influence of Forest on the Magnitude and Duration of Mountain Snow Storage in the Pacific Northwest, USA

Thesis (Ph.D.)--University of Washington, 2016-08

Long-term Trends in Magnitude and Frequency of Extreme Rainfall Events in Florida

This study computed trends in extreme precipitation events of Florida for 1950-2010. Hourly aggregated rainfall data from 24 stations of the National Climatic Data Centre were analyzed to derive time-series of extreme rainfalls for 12 durations, ranging from 1 hour to 7 day. Non-parametric Mann-Kendall test and Theil-Sen Approach were applied to detect the significance of trends in annual maximum rainfalls, number of above threshold events and average magnitude of above threshold events for four common analysis periods. Trend Free Pre-Whitening (TFPW) approach was applied to remove the serial correlations and bootstrap resampling approach was used to detect the field significance of trends. The results for annual maximum rainfall revealed dominant increasing trends at the statistical significance level of 0.10, especially for hourly events in longer period and daily events in recent period. The number of above threshold events exhibited strong decreasing trends for hourly durations in all time periods.