Statistical analysis and definition of blockages-prediction formulae for the wastewater network of Oslo by evolutionary computing

2009 ◽  
Vol 59 (8) ◽  
pp. 1457-1470 ◽  
Author(s):  
Rita Ugarelli ◽  
Stig Morten Kristensen ◽  
Jon Røstum ◽  
Sveinung Sægrov ◽  
Vittorio Di Federico
Keyword(s):  
Statistical Analysis ◽  
Polynomial Regression ◽  
Physical Phenomenon ◽  
Capital City ◽  
Data Set ◽  
Explanatory Variables ◽  
Technical Performance ◽  
Evolutionary Polynomial Regression ◽  
Definition Of ◽  
And Function

Oslo Vann og Avløpsetaten (Oslo VAV)—the water/wastewater utility in the Norwegian capital city of Oslo–is assessing future strategies for selection of most reliable materials for wastewater networks, taking into account not only material technical performance but also material performance, regarding operational condition of the system. The research project undertaken by SINTEF Group, the largest research organisation in Scandinavia, NTNU (Norges Teknisk-Naturvitenskapelige Universitet) and Oslo VAV adopts several approaches to understand reasons for failures that may impact flow capacity, by analysing historical data for blockages in Oslo. The aim of the study was to understand whether there is a relationship between the performance of the pipeline and a number of specific attributes such as age, material, diameter, to name a few. This paper presents the characteristics of the data set available and discusses the results obtained by performing two different approaches: a traditional statistical analysis by segregating the pipes into classes, each of which with the same explanatory variables, and a Evolutionary Polynomial Regression model (EPR), developed by Technical University of Bari and University of Exeter, to identify possible influence of pipe's attributes on the total amount of predicted blockages in a period of time. Starting from a detailed analysis of the available data for the blockage events, the most important variables are identified and a classification scheme is adopted. From the statistical analysis, it can be stated that age, size and function do seem to have a marked influence on the proneness of a pipeline to blockages, but, for the reduced sample available, it is difficult to say which variable it is more influencing. If we look at total number of blockages the oldest class seems to be the most prone to blockages, but looking at blockage rates (number of blockages per km per year), then it is the youngest class showing the highest blockage rate. EPR allowed identifying the relation between attitude to block and pipe's attributes in order to understand what affects the possibility to have a blockage in the pipe. EPR provides formulae to compute the accumulated number of blockages for a pipe class at the end of a given period of time. Those formulae do not represent simply regression models but highlight those variables which affect the physical phenomenon in question.

scholarly journals Study on relationships between climate-related covariates and pipe bursts using evolutionary-based modelling

2013 ◽  
Vol 16 (4) ◽  
pp. 743-757 ◽  
Author(s):  
Daniele Laucelli ◽  
Balvant Rajani ◽  
Yehuda Kleiner ◽  
Orazio Giustolisi
Keyword(s):  
Polynomial Regression ◽  
Statistical Modelling ◽  
Climate Data ◽  
Related Factors ◽  
Explanatory Variables ◽  
Evolutionary Polynomial Regression ◽  
Temperature And Precipitation ◽  
Multi Objective Genetic Algorithm ◽  
Lower Accuracy ◽  
Physical Phenomena

Researchers extensively studied external loads since they are widely recognized as significant contributors to water pipe failures. Physical phenomena that affect pipe bursts, such as pipe-environment interactions, are very complex and only partially understood. This paper analyses the possible link between pipe bursts and climate-related factors. Many water utilities observed consistent occurrence of peaks in pipe bursts in some periods of the year, during winter or summer. The paper investigates the relationships between climate data (i.e., temperature and precipitation-related covariates) and pipe bursts recorded during a 24-year period in Scarborough (Ontario, Canada). The Evolutionary Polynomial Regression modelling paradigm is used here. This approach is broader than statistical modelling, implementing a multi-modelling approach, where a multi-objective genetic algorithm is used to get optimal models in terms of parsimony of mathematical expressions vs. fitting to data. The analyses yielded interesting results, in particular for cold seasons, where the discerned models show good accuracy and the most influential explanatory variables are clearly identified. The models discerned for warm seasons show lower accuracy, possibly implying that the overall phenomena that underlay the generation of pipe bursts during warm seasons cannot be thoroughly explained by the available climate-related covariates.

scholarly journals Youth Unemployment After Apprenticeship Training and Individual, Occupation, and Training Employer Characteristics

2015 ◽  
Vol 235 (4-5) ◽  
pp. 418-432
Author(s):  
Thomas Zwick ◽  
Jens Mohrenweiser
Keyword(s):  
Large Data ◽  
Youth Unemployment ◽  
Three Dimensions ◽  
Unemployment Duration ◽  
Data Set ◽  
Explanatory Variables ◽  
Before And After ◽  
Individual Productivity ◽  
Definition Of ◽  
Unemployed Youth

Summary This paper analyses the risk of unemployment, unemployment duration, and the risk of longterm unemployment immediately after apprenticeship graduation. Unemployed apprenticeship graduates constitute a large share of unemployed youth in Germany but unemployment incidence within this group is unequally distributed. Our paper extends previous research in three dimensions. It shows that (i) individual productivity assessment of the training firm, (ii) initial selection into high reputation training firms and occupations, and (iii) adverse selection of employer moving graduates are correlated with unemployment after apprenticeship graduation. The empirical evidence is obtained from the second longitudinal version of the linked employer-employee panel data from the IAB (LIAB). This large data set allows us to calculate the exact unemployment spell length of apprenticeship graduates. In addition, we can include individual, employer, occupation as well as industrial relation characteristics before and after apprenticeship graduation into our list of explanatory variables for unemployment risk. We show in several robustness checks that our results are remarkably stable when we vary the employees included in the sample, the definition of unemployment, and the list of explanatory variables.

scholarly journals Modeling of temporal development of population taking into account the situation of municipalities in the resettlement system (according to the example of the Tyumen Region)

2020 ◽  
Vol 26 (1) ◽  
pp. 215-227
Author(s):  
V. Dobryakova ◽  
A. Dobryakov
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Spatial Statistics ◽  
Network Data ◽  
Regression Equations ◽  
Temporal Development ◽  
Data Set ◽  
Regional Center ◽  
Definition Of ◽  
The Relationship

The work is devoted to application of spatial statistics and regression analysis tools in the ArcGIS Pro program. In this report we try to confirm two theories in the relationship between positional characteristics of municipalities and the temporal development of population: The farther the locality is from the main settlement of the territory, the faster it loses its own population. The farther the locality is from the main highways of the territory, the faster it loses its own population. The main aim of this article is to find the strictest definition of the type of correlation between such specific distances as the distance to the regional center, the distance to the nearest highway and the relative changes in the municipalities’ population, according to the example of the Tyumen region. A network data set was created to calculate the distances, it contains several elements: main roads, calculated centers of municipalities (CM), lines — distances from centers to the nearest road (“stops”). For the study we used information on changes of population for 4 periods: 1981–1990, 1990–2002, 2002–2010 and 2010–2018. The dependence was done by enumerating the degrees of distances. We considered that the dependence was selected in case the relevant correlation coefficient was the largest. For each chosen relationship, ArcGIS Pro performed a complete statistical analysis, based on the results, the significance of the model was identified, residual maps constructed, and regression equations calculated. All the models except the first period turned out to be significant, but they were displaced, which indicates the existence of some unexplored factors. In the context of the constructed models, it was assumed that the distance to the regional center is closely connected with an expansion of the population in the surrounding municipalities, but the expansion gets more the closer the municipal district is to Tyumen. The distance to the nearest highway is associated with a decrease of population, and the farther the municipality is from the highway, the more it loses population.

Kontrast und Wissen

2009 ◽  
Vol 54 (1) ◽  
pp. 69-102
Author(s):  
Robin Rehm
Keyword(s):  
19Th Century ◽  
Edmund Husserl ◽  
Specific Knowledge ◽  
Max Scheler ◽  
Black And White ◽  
Black Circle ◽  
Black Cross ◽  
Definition Of ◽  
And Function ◽  
The 19Th Century

Kasimir Malewitschs suprematistische Hauptwerke ›Schwarzes Quadrat‹, ›Schwarzer Kreis‹ und ›Schwarzes Kreuz‹ von 1915 setzen sich aus schwarzen Formen auf weißem Grund zusammen. Der Typus des Schwarzweißbildes weist überraschende Parallelen zu den bildlichen Wahrnehmungsinstrumenten auf, die vom ausgehenden 18. bis Anfang des 20. Jahrhunderts in den Experimenten der Farbenlehre, physiologischen Optik und Psychologie verwendet worden sind. Die vorliegende Studie untersucht diese Parallelen in drei Schritten: Zunächst erfolgt eine allgemeine Charakterisierung des Schwarzweißbildes mit Hilfe des Kontrastbegriffs von Edmund Husserl. Des weiteren wird die Entstehung und Funktion des schwarzweißen Kontrastbildes in den Wissenschaften des 19. Jahrhunderts typologisch herausgearbeitet. Unter Berücksichtigung des Wissensbegriffs von Max Scheler wird abschließend die Spezifik des Wissens eruiert, das die Schwarzweißbilder sowohl in der Malerei Malewitschs als auch in den genannten Wissenschaften generieren. Malevich’s main Suprematist works, such as ›Black Square‹, ›Black Circle‹, and ›Black Cross‹ from 1915, consist of black shapes on white ground. Surprisingly this series of shapes strongly resembles scientific black-and-white images used for research on colour theory, physiological optics, and psychology throughout the 19th century. This paper examines the parallels between Malevich’s paintings and the scientific drawings in three steps: It first characterizes black-and-white images in general, using Edmund Husserl’s definition of the term ›contrast‹. Secondly, the paper investigates the development and function of black-and-white images as tools of perception in the sciences. It finally discusses the specific knowledge generated through Malevich’s art and through scientific black-and-white images, following Max Scheler’s phenomenological identification of knowledge.

Maintenance of a Genetic Data Set on Multiple Data Base and Statistical Analysis Systems

1982 ◽  
Vol 61 (s109) ◽  
pp. 34-34
Author(s):  
Samuel J. Agronow ◽  
Federico C. Mariona ◽  
Frederick C. Koppitch ◽  
Kazutoshi Mayeda
Keyword(s):  
Statistical Analysis ◽  
Data Base ◽  
Genetic Data ◽  
Data Set ◽  
Multiple Data

John among the Apocalypses

2020 ◽  
Author(s):  
Benjamin E. Reynolds
Keyword(s):  
Gospel Of John ◽  
Central Place ◽  
Reception History ◽  
Genre Theory ◽  
Synoptic Gospels ◽  
Book Of Revelation ◽  
Distinctive Features ◽  
History Of ◽  
Definition Of ◽  
And Function

The central place of revelation in the Gospel of John and the Gospel’s revelatory telling of the life of Jesus are distinctive features of John when compared with the Synoptic Gospels; yet, when John is compared among the apocalypses, these same features indicate John’s striking affinity with the genre of apocalypse. By paying attention to modern genre theory and making an extensive comparison with the standard definition of “apocalypse,” the Gospel of John reflects similarities with Jewish apocalypses in form, content, and function. Even though the Gospel of John reflects similarities with the genre of apocalypse, John is not an apocalypse, but in genre theory terms, John may be described as a gospel in kind and an apocalypse in mode. John’s narrative of Jesus’s life has been qualified and shaped by the genre of apocalypse, such that it may be called an “apocalyptic” gospel. Understanding the Fourth Gospel as “apocalyptic” Gospel provides an explanation for John’s appeal to Israel’s Scriptures and Mosaic authority. Possible historical reasons for the revelatory narration of Jesus’s life in the Gospel of John may be explained by the Gospel’s relationship with the book of Revelation and the history of reception concerning their writing. An examination of Byzantine iconographic traditions highlights how reception history may offer a possible explanation for reading John as “apocalyptic” Gospel.

Physicianship and the Rebirth of Medical Education

2018 ◽  
Author(s):  
J. Donald Boudreau ◽  
Eric Cassell ◽  
Abraham Fuks
Keyword(s):  
Medical Education ◽  
Educational Process ◽  
Medical Attention ◽  
Patient Centeredness ◽  
Goals Of Medicine ◽  
The Subject ◽  
Definition Of ◽  
And Function ◽  
William Osler ◽  
The Relationship

This book reimagines medical education and reconstructs its design. It originates from a reappraisal of the goals of medicine and the nature of the relationship between doctor and patient. The educational blueprint outlined is called the “Physicianship Curriculum” and rests on two linchpins. First is a new definition of sickness: Patients know themselves to be ill when they cannot pursue their purposes and goals in life because of impairments in functioning. This perspective represents a bulwark against medical attention shifting from patients to diseases. The curriculum teaches about patients as functional persons, from their anatomy to their social selves, starting in the first days of the educational program and continuing throughout. Their teaching also rests on the rock-solid grounding of medicine in the sciences and scientific understandings of disease and function. The illness definition and knowledge base together create a foundation for authentic patient-centeredness. Second, the training of physicians depends on and culminates in development of a unique professional identity. This is grounded in the historical evolution of the profession, reaching back to Hippocrates. It leads to reformulation of the educational process as clinical apprenticeships and moral mentorships. “Rebirth” in the title suggests that critical ingredients of medical education have previously been articulated. The book argues that the apprenticeship model, as experienced, enriched, taught, and exemplified by William Osler, constitutes a time-honored foundation. Osler’s “natural method of teaching the subject of medicine” is a precursor to the Physicianship Curriculum.

PSVI-8 Meta-regression Analysis to Determine the Relationship Between Growing Pig Body Weight and Variation

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 218-219
Author(s):  
Andres Fernando T Russi ◽  
Mike D Tokach ◽  
Jason C Woodworth ◽  
Joel M DeRouchey ◽  
Robert D Goodband ◽  
...  
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Sample Size ◽  
Polynomial Regression ◽  
Data Sets ◽  
Regression Equations ◽  
Prediction Equations ◽  
Data Set ◽  
Rate Of Increase ◽  
The Relationship

Abstract The swine industry has been constantly evolving to select animals with improved performance traits and to minimize variation in body weight (BW) in order to meet packer specifications. Therefore, understanding variation presents an opportunity for producers to find strategies that could help reduce, manage, or deal with variation of pigs in a barn. A systematic review and meta-analysis was conducted by collecting data from multiple studies and available data sets in order to develop prediction equations for coefficient of variation (CV) and standard deviation (SD) as a function of BW. Information regarding BW variation from 16 papers was recorded to provide approximately 204 data points. Together, these data included 117,268 individually weighed pigs with a sample size that ranged from 104 to 4,108 pigs. A random-effects model with study used as a random effect was developed. Observations were weighted using sample size as an estimate for precision on the analysis, where larger data sets accounted for increased accuracy in the model. Regression equations were developed using the nlme package of R to determine the relationship between BW and its variation. Polynomial regression analysis was conducted separately for each variation measurement. When CV was reported in the data set, SD was calculated and vice versa. The resulting prediction equations were: CV (%) = 20.04 – 0.135 × (BW) + 0.00043 × (BW)2, R2=0.79; SD = 0.41 + 0.150 × (BW) - 0.00041 × (BW)2, R2 = 0.95. These equations suggest that there is evidence for a decreasing quadratic relationship between mean CV of a population and BW of pigs whereby the rate of decrease is smaller as mean pig BW increases from birth to market. Conversely, the rate of increase of SD of a population of pigs is smaller as mean pig BW increases from birth to market.

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