Academic literature on the topic 'Aggressiveness in children – Mathematical models'
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Journal articles on the topic "Aggressiveness in children – Mathematical models"
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Cabrefiga, Jordi, and Emilio Montesinos. "Analysis of Aggressiveness of Erwinia amylovora Using Disease-Dose and Time Relationships." Phytopathology® 95, no. 12 (December 2005): 1430–37. http://dx.doi.org/10.1094/phyto-95-1430.
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The aggressiveness of an extensive collection of strains of Erwinia amylovora was analyzed using immature fruit and detached pear flower assays under controlled environmental conditions. The analysis was performed by means of a quantitative approach based on fitting data to mathematical models that relate infection incidence to pathogen dose and time. Probit and hyperbolic saturation models were used for disease-dose relationships and provided information on the median effective dose (ED50). Values of ED50 ranged from 103 to 106 CFU/ml (10 to 104 CFU per site of inoculation). A modified Gompertz model was used for disease-time relationships and provided information on the rate of infection incidence progression (rg) and time delayed to start of the incidence progress curve (t0). Values of rg ranged from near 0 to 1.90, and t0 varied from 1.3 to more than 10 days. The more aggressive strains showed high rg, low ED50 values, and short t0, whereas the less aggressive strains showed low rg, high ED50, and long t 0. The aggressiveness was dependent on plant material type and pear cultivars and was significantly different between strains of E. amylovora. Infectivity titration and kinetic analysis of progression of incidence of infections using the immature pear test and a standardized scale are proposed for assessment of strain aggressiveness. The implications of rg, ED50, and t0 for the epidemiology and management of fire blight are discussed, particularly the wide range of aggressiveness among strains, the degree of host specificity observed in pear isolates, the very high infective potential of this pathogen, the independent action of pathogen cells during infection, and the possible advantage of including aggressiveness parameters into fire blight risk forecasting systems.
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Vilyunov, Sergey D. "Study of the contribution of horizontal stability in the probability model of the “hostpathogen” interaction system on the basis of millet varieties susceptible to smut." Agrarian science, no. 11-12 (January 20, 2021): 97–100. http://dx.doi.org/10.32634/0869-8155-2020-343-11-97-100.
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Digital control of breeding process, creation of mathematical models of living objects and management of plant life cycle is an urgent problem of modern times. Сreation of technologies that ensure implementation of the concept of advanced digital "smart" agriculture is impossible without basic mathematical models of "mass interactions" of natural living objects. This primarily affects the spread of certain diseases in populations. In the plant world, such a convenient model object is the well-studied "host-pathogen" system by the example of the interaction of millet and its smut disease. At present, the knowledge of the patterns of development of this disease in the millet plant is of a qualitative nature (virulence), and the quantitative characteristics (aggressiveness) are approximate. Only mathematical modeling of this process can accurately describe the development of the disease. This paper examines a probabilistic model and certain aspects of mathematical modeling using the example of identifying the laws of horizontal resistance to smut in susceptible millet genotypes.
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Molina, Julio C., Carlito Calil Júnior, and Roberto R. de Freitas. "Mathematical model to estimate of the deterioration of wooden poles in contact with soil used in rural areas." Engenharia Agrícola 31, no. 5 (October 2011): 1015–26. http://dx.doi.org/10.1590/s0100-69162011000500019.
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In São Paulo State, mainly in rural areas, the utilization of wooden poles is observed for different purposes. In this context, wood in contact with the ground presents faster deterioration, which is generally associated to environmental factors and, especially to the presence of fungi and insects. With the use of mathematical models, the useful life of wooden structures can be predicted by obtaining "climatic indexes" to indicate, comparatively among the areas studied, which have more or less tendency to fungi and insects attacks. In this work, by using climatological data of several cities at São Paulo State, a simplified mathematical model was obtained to measure the aggressiveness of the wood in contact with the soil.
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Touger, Hallie Ephron. "Models: Help or Hindrance?" Arithmetic Teacher 33, no. 7 (March 1986): 36–37. http://dx.doi.org/10.5951/at.33.7.0036.
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Modeling mathematical operations using pictures and other concrete materials is a valuable technique to help children develop an understanding of mathematical concepts. A teacher feels secure that a child understand an algorithm when the child can build or draw a model of it. But a model that work for one child, that is, one that helps him or her to see a solution more easily, may make a problem seem more difficult for another child.
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Langemann, Dirk, Igor Nesteruk, and Jürgen Prestin. "Comparison of mathematical models for the dynamics of the Chernivtsi children disease." Mathematics and Computers in Simulation 123 (May 2016): 68–79. http://dx.doi.org/10.1016/j.matcom.2016.01.003.
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Małysz, Zbigniew. "Computer games and the aggressiveness, aggression/aggressive behaviour of children and adolescents. A contribution to the psychopedagogical analysis of the problem." Problemy Opiekuńczo-Wychowawcze 579, no. 4 (April 30, 2019): 39–51. http://dx.doi.org/10.5604/01.3001.0013.2841.
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The article deals with the problem of (theoretical) dependencies between playing (aggressive) computer games and aggressiveness, aggression/aggressive behaviours of children and adolescents in the context of Albert Bandura's social learning theory and their empirical description based on a meta-analysis/analysis of existing (selected) research data of the topical problem (due to the available sources and the accepted logic of analysis this text is a contribution to the psychopedagogical analysis of the problem). The author starts from a brief discussion of the essence of the theory of social learning of Albert Bandura, then the problem of the role of ludic activity and computer games in the life of (contemporary) man is raised. Next, the problem of dependencies between computer games and aggressiveness, aggression/aggressive behaviours is outlined, and original theoretical models of dependencies between playing the (aggressive) computer games and other aggressive situations and aggressive behaviours are presented. At the end, meta-analysis/analysis of the existing data on the status of the (selected) research of the problem is presented and based on it the relevant final conclusions are drawn as a summary.
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English, Lyn D., Jillian L. Fox, and James J. Watters. "Problem Posing and Solving with Mathematical Modeling." Teaching Children Mathematics 12, no. 3 (October 2005): 156–63. http://dx.doi.org/10.5951/tcm.12.3.0156.
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In recent years, we have introduced elementary school children to the powerful world of mathematical modeling. Models are used to interpret real-world situations in a mathematical format. For example, graphs and tables model complex relationships among various phenomena.
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Antoñanzas, Jose Luis. "The Relationship of Personality, Emotional Intelligence, and Aggressiveness in Students: A Study Using the Big Five Personality Questionnaire for Children and Adults (BFQ-NA)." European Journal of Investigation in Health, Psychology and Education 11, no. 1 (December 25, 2020): 1–11. http://dx.doi.org/10.3390/ejihpe11010001.
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An analysis of secondary students’ personality traits, along with a description of their emotional intelligence levels and their anger control, could be decisive when educating students to prevent anti-social behavior in academia. Very few studies on personality, emotional intelligence, and aggressive conduct exist in Spain. Some of the studies that do exist, however, only explore the relationship between emotional intelligence, personality, and prosocial behavior in secondary education students. Likewise, there are few studies focusing on personality and aggression control. In this study, using the Big Five personality models as predictors of aggressiveness in subjects and of emotional intelligence, we sought to contribute to the improvement of the education of students on aggressive behavior in education centers. To do this, we conducted a study using the Big Five Personality Questionnaire (BFQ) for Children and Adults (BFQ-NA), the Trait Meta-Mood Scale (TMMS-24) emotional intelligence test, and the State–Trait Anger Expression Inventory (STAXI) anger management test. Our main objective was to analyze the relationship of the BFQ with the variables of emotional intelligence and aggressiveness. This was achieved using a range of bivariate correlation and multiple regression tests. The results showed the correlation and predictive value of emotional intelligence and aggression in the Big Five model of personality. This study coincides with other research linking Big Five questionnaires with emotional intelligence and aggression.
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Penner, Elizabeth, and Richard Lehrer. "The Shape of Fairness." Teaching Children Mathematics 7, no. 4 (December 2000): 210–14. http://dx.doi.org/10.5951/tcm.7.4.0210.
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Shape and form are often used as mathematical models of situations. For example, teachers explain that light travels in a line or that the shadow cast by a person is related by similar triangles to that cast by a flagpole. Yet despite the common use of mathematical models in the sciences and in design professions, children rarely have the opportunity to participate in this form of mathematical thinking. In this article, we describe how first and second graders modeled a “fair” playing space in a game of tag called “Mother, may I?” The children modeled the playing space by using a succession of different forms, such as lines and squares, to represent a fair game, discovering along the way the properties of each of the forms that made them less-than-ideal models of fairness. Participation in the game gave the children many opportunities to think about important concepts in measuring length and the idea of using form to model a situation.
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Kazyra, I. A., and A. V. Sukalo. "MODELS FOR THE PROGNOSIS OF THE PROGRESSIVE COURSE OF CHRONIC GLOMERULOPATHIES IN CHILDREN." Journal of the Grodno State Medical University 19, no. 4 (September 12, 2021): 424–27. http://dx.doi.org/10.25298/2221-8785-2021-19-4-424-427.
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Background. The study of the rate of progression, the identification of the most significant risk factors for the unfavorable course of chronic glomerulopathies (GP) for the implementation of preventive measures is an important research area. Purpose of the study. Development of mathematical models for the short-term prognosis of the progression of primary and secondary chronic GP in children. Material and methods. A comprehensive examination was carried out of 88 patients with secondary, 188 with primary morphologically verified GP, who were under observation in the center of pediatric nephrology and renal replacement therapy "2nd Children’s Hospital" Minsk. Results. Anamnestic, clinical, laboratory, instrumental and morphological data were analyzed with the subsequent determination of the most significant factors associated with progression. Mathematical models have been developed for the short-term prognosis of the progressive course of primary and secondary GP in children. Conclusions. The most significant factors associated with a three-year risk of predicting the progression of primary (impaired renal function at the onset of the disease and glomerular filtration rate (GFR) <87 ml/min/1.73 m2) and secondary (perinatal factors of kidney damage, recurrent course of the disease, persistent nephrotic proteinuria, decreased GFR at the onset of the disease) GP in children. With the help of prognostic models, threshold values were calculated and classification schemes were created, which enable to calculate the patient's belonging to the risk group of a progressive course based on the calculation of points for timely correction.
Dissertations / Theses on the topic "Aggressiveness in children – Mathematical models"
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Cordin, Robin M. "Psychopathic-like-traits and aggression in suspended mainstream school children and adolescents." University of Western Australia. Graduate School of Education, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0100.
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[Truncated abstract] The overall aim of the research reported in this thesis was to explore the viability and utility of the construct of psychopathy and aggression in children and adolescents. Specifically, by taking a developmentally informed approach it sought to develop new instrumentation which measured psychopathic-like-traits, and verbal proactive and reactive aggression in non-referred mainstream school children and adolescents. To achieve this, four separate yet interrelated studies were conducted. Study One comprised three phases relating to the development and validation of two new instruments. In Phase One the instruments currently used to measure psychopathy were reviewed and items relevant to young persons were selected for inclusion in a draft version of the new psychopathy screening instrument. Phase Two, which sought to further explore the construct of psychopathy in children and adolescents, comprised a series of interviews with school principals, deputy principals, psychologists, and education officers at the main juvenile detention centre in Perth, Western Australia. These interviews provided information relating to the behaviour and characteristics of children and adolescents who present with psychopathic-like-traits. As a consequence of the feedback from the Phase Two data, Phase Three reviewed the instrumentation currently used to measure aggression in children and adolescents. From this items were selected for possible inclusion in an aggression questionnaire. The data gathered over these three phases resulted in 117 psychopathy related items being generated for the new instrument, which were subsequently reduced to 56 when duplicated items were identified and the extant knowledge of the construct applied. The 56 items were retained in a draft version of the newly developed instrument, which was named the Child and Adolescent Psychopathy Screening Instrument (CAPSI). The Study One data revealed the instrumentation used to date provided few measures of physical and verbal aggression - a characteristic of psychopathic-like behaviour. Thus, a review of instrumentation together with the information from the interviews resulted in 63 aggression items being generated. ... Study Four utilised information from the CAPSI and the CASA in conjunction with in-depth interviews to generate case studies to further elucidate the characteristics of children and adolescents with psychopathic-like-traits and extreme aggression. Case studies were undertaken with seven male students ranging in age from 8 to 15 years who had been suspended from mainstream schools. All boys scored very highly on the new instruments. All presented with extreme aggression, with some exhibiting proactive or premeditated aggression combined with a superficially engaging personality, insincere charm, lack of remorse, and lack of empathy. The findings from all four research studies are discussed in the light of the literature reviewed and the aims of the research. Implications are then drawn for researchers and clinicians, and directions for further research are suggested.
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Zhao, Yunzhong. "Analysis and comparison of blood lead risk area models for selected urban areas in Indiana." Muncie, Ind. : Ball State University, 2009. http://cardinalscholar.bsu.edu/679.
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Davila, Payan Carlo Stefan. "Cases of improvement to public health systems using mathematical modeling." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50326.
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This work builds on the use of several Mathematical Modeling tools to develop approaches that address relevant, real and previously unanswered questions related to the improvement of Public Health Systems, in three particular instances.
First, this thesis analyzes the variation in state-level vaccination coverage during the emergency response to the 2009 H1N1 pandemic influenza outbreak in the United States. The analysis considers the overall adults population and two priority sub-populations: children and high-risk adults. We focus on quantifying the association between vaccination coverage and the supply chain and distribution system decisions, during the vaccine shortage period, while controlling for other commonly recognized factors such as previous vaccinations, socio-economic characteristics, health seeking behavior and health infrastructure. The variables analyzed are generally correlated, and the problem has a limited sample size with a much larger number of independent variables. The findings of this research have been published in Vaccine and presented to the Centers for Disease Control and Prevention.
Second, the research approaches the problem of estimating childhood obesity prevalence in small geographic areas in the U. S. Obesity is recognized as one of the major health problems in the country, and attending this condition in children is of major importance to deal with the sources of the overall problem. The ability to target interventions to the most affected children populations is necessary to achieve cost effective solutions. But local accurate obesity data is hard to obtain and missing for most of the small areas in the country. The research focuses on estimating prevalence of obesity and overweight status in children in small geographical areas in the absence of surveillance and detailed sampling. Our modeling approach is built in two stages. The first one uses a logistic regression model that links individual characteristics to high-BMI status, and generates samples of the empirical distribution of its coefficients though bootstrap re-sampling. The second uses simulation to generate virtual population samples of the small areas, which are then combined with the logistic model samples to estimate prevalence. Confidence intervals are built though re-sampling. A very important feature of our approach is that all of its inputs are from publicly available data, which gives availability for the replication of the methodology to any health stakeholder in the US. The model estimates were validated by using separate models for adults and children in a state with available data. Estimates obtained from our modeling approach were used by a large healthcare provider to geographically target interventions for pediatric obesity.
Third, the thesis presents an introductory analysis of the possible effects of partial disruptions to critical supply chains due to absenteeism caused by a generalized flu-like illness in the US. For this analysis, we first construct a plausible national food supply chain for milk and then we simulate its disruption. To build the supply chain we used public information regarding production, consumption, and major milk processors and bottlers, and fitted it into a supply network though optimization. Then, to analyze the effects of flow disruptions of the supply chain, we built a simulation of the operation of the network and virtually generated absenteeism, mildly disrupting the supply chain flows by the proportional absences. We used information on potential absenteeism in work groups from an influenza simulator. Our initial analysis shows that absenteeism may create variations along the supply chain, similar to those described in the bullwhip effect analysis literature, even in the absence of supply shortages and without variations in pricing or demand, for which we find no prior reference in the literature.
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Beraldo, Lucas Menghin. "Modelagem matemática para estimativa da gordura corporal baseada em densitômetro radiológica." Universidade Tecnológica Federal do Paraná, 2017. http://repositorio.utfpr.edu.br/jspui/handle/1/2634.
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O excesso de gordura corporal esta associado a diversas doenças de ordem metabólica, psicológica e estrutural. É indicado que a adolescência é o período crítico para o desenvolvimento de hábitos associados ao acúmulo de gordura como a inatividade física, má alimentação e sedentarismo. Desta forma, esta é uma fase crítica para o monitoramento da população visando a redução de casos de obesidade e doenças associadas. A técnica padrão-ouro para avaliação da gordura corporal é a absorciometria de raios-X de dupla-energia. Porém seu caráter laboratorial impede o uso amplo. Desta forma, técnicas mais simples, como a medição de dobras cutâneas devem ser modeladas a partir de técnicas mais exatas para este monitoramento. Os modelos existentes foram desenvolvidos com populações estrangeiras que não se assemelham aos habitantes da Região Metropolitana de Curitiba o que pode levar a erros de avaliação e diagnóstico. Desta forma o objetivo deste estudo é produzir um modelo de análise da gordura corporal apropriado a crianças e adolescentes da Região Metropolitana de Curitiba. Foram selecionadas duas amostras, uma composta por 567 adolescentes hígidos com idade entre 10 e 18 anos; e outra composta por 63 crianças com paralisia cerebral entre 3 e 10 anos. Os dois grupos possuíam indivíduos de ambos os sexos. Foram coletados dados de massa, estatura, idade e espessura de dobras cutâneas, além da avaliação de composição corporal por densitometria radiológica. O percentual de gordura obtido por diferentes equações de dobras cutâneas e demais medidas antropométricas entre os adolescentes foi comparado com o obtido por densitometria indicando associações abaixo do indicado (CCC<0,900). Foi encontrada também uma tendência de subestimação pelas dobras cutâneas, o que resultava em elevados valores de especificidade e baixos de sensibilidade (sendo especificidade á quantidade relativa de verdadeiros negativos entre quem não possui a condição clínica, e a sensibilidade a relação de verdadeiros positivos entre quem possui a condição considerada). Isto indica uma grande quantidade de falsos negativos o que leva muitos adolescentes com excesso de gordura a serem classificados como eutróficos. O modelo classificatório desenvolvido para adolescentes obteve um ajuste de R2 Negelkerke=0,829, sensibilidade de 99,0% e especificidade de 82,7% apresentando indicadores diagnósticos acima do obtido por equações de dobras cutâneas e IMC. Para as crianças com paralisia cerebral foi desenvolvido um modelo estimativo da massa de gordura com ajuste de R2 =0,950 com erro padrão de estimativa de 1,039. As equações utilizadas para converter as dobras cutâneas em medições da gordura corporal demonstraram-se inadequadas para aplicação em adolescentes da região metropolitana de Curitiba. A aplicação de técnicas de regressão logística e linear apresentou resultados positivos, mesmo a partir da modelagem na amostra de crianças com paralisia cerebral.The overfat is associated with many methabolic, psycological and structural diseases. The adolescence is indicated as the critical period for the development of habits associated with fat accumulation like physical inactivity, poor diet and sedentarism. Thus, this is a important moment to monitorig the population aiming the reduction of obesity and associated disease. The golden standard to evaluate the body fatness is the dual-energy x-ray absorptiometry. However, its laboratorial aspect prevents a wide use. This way, simpler techniques as the skinfold measurement should be model from more exact techniques for this monitoring. The existing models were developed with foreign populations that don't resemble the Curitiba Metropolitan Region habitants. This could lead to evaluation and diagnostic errors. Thus, the aim of this study is to product a model of body fatness analysis appropriate to children and adolescents from the Curitiba Metropolitan Region. Two sample were selected, the first one composed by 567 healthy adolescents aged between 10 and 18 years; the other one composed by 63 children with cerebral palsy between 3 and 10 years. The groups have both genders. The data of weight, height, age and skinfold thickness were collected, beyond the body composition evaluation by radiologic densitometry. The fatness percentage obtained by different skinfold and other anthopometric mesures equations among the adolescents was compared with the obtained by densitometry presenting associations below indicated (CCC<0,900). A tendency of underestimation by the skinfold equations was found, that resulted in higher specificity values and low sensitivity (being specificity the relative quantity of true negatives among those who do not have de clinical condition, and the sensitivity the relations of true positives amons those who have the considered condition). This indicates a major quantitaty of false negatives, that leads many overfat adolescents to be classify as eutrophic. The developed classificatory model for adolescents obtained an adjustment of R2 Negelkerke=0,829, sensitivity of 99,0% and specificity of 82,7% presenting diagnostic's indicators above that obtained by skinfold equations and BMI. For the children with cerebral palsy was developed a fat mass estimation model with adjustment of R2 =0,950 and standard error of estimative of 1,039. The equations used to convert the skinfold in body fatness measures were found to be inadequate for aplication in adolescents from Curitiba Metropolitan Region. The aplication of logistic and linear regression techniques have presented positive results, even from modeling in the children with cerebral palsy sample.
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"Aggressive models and assertive behaviour of children in the classroom." Thesis, 2014. http://hdl.handle.net/10210/12775.
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Mamun, Md Abdullah Al. "Zero-inflated regression models for count data : an application to under-5 deaths." 2014. http://liblink.bsu.edu/uhtbin/catkey/1747408.
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Zero-inflated (ZI) count data models overcome the restriction of equality relationship between
mean and variance, but functional relationship still exists. For ZI models it is important to
know whether the proportion of zeros and the rate of counts have any influence on the fit of
the model. In this study we have considered three zero-inflated models, namely, ZIP, ZINB,
and Hurdle model. We also considered Poisson and negative binomial model as classical
count data models. Our simulation experiment suggests that the proportion of zeros for
given rate parameter does not a↵ect the fit of the models as long as model is correctly
specified. In case of misspecification of the model, it does not perform well for large rate
parameter. These three zero-inflated models performed better than the classical models as
the rate parameter and the proportion of zeros become larger. We applied five models to
the BDHS 2011 survey data to understand the social determinants associated with a mother
to experience under-5 deaths of her children. The classical models failed to di↵erentiate
between mothers who have experienced under-5 deaths of their children and who have never
experienced under-5 deaths. While zero-inflated models were able to di↵erentiate between
those two groups of mothers in terms of zero counts and positive counts of number of under-5
deaths of their children with associated covariates in opposite slope of coefficients. Among
the three zero-inflated models, Hurdle model performed best in fitting the data compared to
the ZIP and ZINB models.
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Neziroglu, Cidav Zuleyha 1979. "Empirical essays on health care for children and families." 2008. http://hdl.handle.net/2152/18195.
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This dissertation consists of three empirical essays investigating different aspects of health care for children and families. The first essay examines the effectiveness of adherence to American Academy of Pediatrics guidelines for preventive pediatric health care. Using a national longitudinal sample of children age two years and younger, we investigate whether compliance with prescribed periodic well-child care visits has beneficial effects on child health. We find that increased compliance improves child health. In particular, higher compliance lowers future risks of fair or poor health, of some history of a serious illness and of having a health limitation. The second essay examines child health care utilization in relation to maternal labor supply. We test the hypothesis that working-mothers trade off the advantages of greater income against the disadvantages of less time for other valuable tasks, such as seeking health care for their children. This tradeoff may result in positive, negative, or no net impacts on child health investment. We estimate health care demand regressions that include separate variables for mother’s labor supply and her labor income. Our results indicate that higher maternal work hours reduce child health care visits; higher maternal earnings increase them. In addition, wage-employment, as opposed to self-employment, is detrimental to child health investment. A further finding is that preventive care demand for younger children is less sensitive to maternal time and income changes. We also find that detrimental time effects dominate beneficial income effects. The third essay studies intra-household resource allocation as it pertains to its demand for preventive medical care. We test the income-pooling hypothesis of the common preference model by using individual specific medical care consumption data and present evidence on the allocation of household resources to the medical needs of the child, husband and wife. Our results are in line with the findings of previous studies that emphasize the ongoing importance of the traditional gender role of woman as the primary caregiver. We find that the resources of the wife have a greater positive impact on child’s and her own preventive care demand than does the resources of the husband. In contrast to most studies from developing countries, we find that US families do not exhibit differential health care demand based on child gender. It is also noteworthy that the wife’s education level has a greater positive impact than that of her husband does on both the husband’s and her own preventive care utilization.text
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Barnes, Stephen Ransom. "Three essays in health economics." 2008. http://hdl.handle.net/2152/17743.
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The first chapter of this dissertation tests for addiction to food. This is the first empirical study using nationally representative data to do so. Data show that many common foods are addictive, suggesting that prices play a larger role in food consumption than previously thought. The finding of significant addiction also suggests that targeted food taxes may provide effective instruments for reducing the prevalence of overweight and obesity. The second chapter of this dissertation investigates the determinants of childhood obesity. This research improves upon previous economic research on the topic by incorporating controls for biological relationships of mothers and fathers and examining the entire child weight distribution using quantile regression. I find evidence of genetic weight transmission though the behavioral influence of mothers appears to be dominant. Furthermore, I find that the commonly cited influences on childhood weight do little to explain the most extreme weights. The third chapter of this dissertation studies the contract choice effect. Though frequently discussed, the impact of changes in insurance contract on utilization in response to a change in the expected cost of care has not been explicitly studied in an empirical setting. The analysis identifies a significantly negative contract choice effect, implying that individuals choose better insurance plans in response to increases in the expected cost of care.text
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Copperman, Rachel Batya Anna 1982. "A comprehensive assessment of children's activity-travel patterns with implications for activity-based travel demand modeling." 2008. http://hdl.handle.net/2152/17843.
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Children are an often overlooked and understudied population group, whose travel needs are responsible for a significant number of trips made by a household. In addition, children’s travel and activity participation have direct implication for adults’ activity-travel patterns. A better understanding of children’s activity-travel patterns and the linkages between parents and children’s activity-travel needs is necessary for accurate prediction and forecasting of activity-based travel demand modeling systems. In contrast to the need to examine and model children’s activity-travel patterns, existing activity-based research and modeling systems have almost exclusively focused their attention on the activity-travel patterns of adults. Therefore, the goal of this research effort is to contribute to the area of activity-based travel demand analysis by comprehensively examining children’s activity-travel patterns, and by developing a framework for incorporating children within activity-based travel demand modeling systems. This dissertation provides a comprehensive review of previous research on children’s activity engagement and travel by focusing on the dimensions characterizing children’s activity-travel patterns and the factors affecting these dimensions. Further, an exploratory analysis examines the weekday and weekend activity participation characteristics of school-going children. The study focuses on the overall time-use of children in different types of activities, as well as on several dimensions characterizing the context of participation in activities. In addition, the dissertation discusses the treatment of children within current activity-based travel demand modeling systems and conceptualizes an alternative framework for simulating the daily activity-travel patterns of children. An empirical analysis is undertaken of the post-school out-of-home activity-location engagement patterns of children aged 5 to 17 years. Specifically, this research effort utilizes a multinomial logit model to analyze children’s post-school location patterns, and employs a multiple discrete-continuous extreme value (MDCEV) model to study the propensity of children to participate in, and allocate time to, multiple activity episode purpose-location types during the after-school period. Finally, the paper identifies the need and opportunities for further research in the field of children’s travel behavior analysis.text
Books on the topic "Aggressiveness in children – Mathematical models"
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Kotlikoff, Laurence J. Making bequests without spoiling children: Bequests as an implicit optimal tax structure and the possibility that altruistic bequests are not equalizing. Cambridge, MA: National Bureau of Economic Research, 1988.
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Ngianga-Bakwin, Kandala. Spatial modelling of socio-economic and demographic determinants of childhood undernutrition and mortality in Africa. Aachen [Germany]: Shaker, 2002.
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Birchenall, Javier A. Altruism, fertility, and the value of children: Health policy evaluation and intergenerational welfare. Cambridge, MA: National Bureau of Economic Research, 2007.
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Birchenall, Javier A. Altruism, fertility, and the value of children: Health policy evaluation and intergenerational welfare. Cambridge, Mass: National Bureau of Economic Research, 2007.
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Kassouf, Ana Lucia. Estimation of health demand and health production functions for children in Brazil. St. Paul, Minn: Center for International Food and Agricultural Policy, University of Minnesota, 1993.
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Clay, Karen. Lead pipes and child mortality. Cambridge, Mass: National Bureau of Economic Research, 2006.
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Clay, Karen. Lead pipes and child mortality. Cambridge, MA: National Bureau of Economic Research, 2006.
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Kallonen-Rönkkö, Marja. Ihmisen tiedon käsittelyjärjestelmä ja sen tehokas toiminta oppimisessa =: Human information-processing system and its efficient function in learning. Oulu: Oulun yliopiston Kasvatustieteiden tiedekunta, 1991.
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Levitt, Steven D. Evaluating the effectiveness of child safety seats and seat belts in protecting children from injury. Cambridge, Mass: National Bureau of Economic Research, 2006.
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Kanbur, S. M. Ravi. Children and intra-household inequality: A theoretical analysis. Washington, DC (1818 H St., NW, Washington 20433): Office of the Vice President, World Bank, 1991.
Find full textBook chapters on the topic "Aggressiveness in children – Mathematical models"
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Gilfanovna, Sabirova Elvira, and Milyausha Yakubovna Ibragimova. "Model of Forming Mathematical Notional-Terminological Apparatus in Elementary School Children." In Handbook of Research on Ecosystem-Based Theoretical Models of Learning and Communication, 344–55. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7853-6.ch020.
Full textAbstract:
Terminology is one of the constituents of the scientific knowledge system. Mastering terminology means to learn the extent and content of notions, and also to use these terms in work. The problems of terminology formation were studied by Bogoyavlensky, Galperin, Talyzina. In the studies of Vygodsky, the inner speech derives from conversational speech in a way of changing its function and consequently its structure. Though there has not been developed complete methodic conception of forming terminology apparatus in children, the chapter is intended to describe a model that forms mathematical terminology apparatus in the process of teaching. The main methods of studies were psychology literature analysis, educational process analysis (teaching mathematics), watching and testing elementary school children in Russia.
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Szücs, Kinga. "Arguing and Proving in Vargas´s German-Language Work." In Komplexer Mathematikunterricht. Die Ideen von Tamás Varga in aktueller Sicht, 353–66. WTM-Verlag Münster, 2020. http://dx.doi.org/10.37626/ga9783959871648.0.21.
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Vargas’s work focused on children´s autonomous activities as well as on their intrinsic motivation in mathematics classrooms and was designed in the sense of the so-called genetic method (Ambrus & Vancsó, 2017, p. 7). His goal was to enable learners to discover mathematics in various every-day situations and to find appropriate mathematical models (Ambrus & Vancsó, 2017, p. 10). In a playful way, he wanted to convey methods, models and basic concepts of mathematics and especially the rules of logic. However, a main and basic area of mathematics, which also should be communicated to children from the very beginning, and which is not independent of logics, is the area of arguing and proving in mathematics. The question, how Varga placed and communicated arguments and proofs suitable for 1st-to-4th-grade learners, will be answered by analysing his German-language book Engel, Varga & Walser (1974). In this issue, two of his favourite mathematical areas, namely combinatorics and probability theory are brought to bear. ZDM Subject Classification: E50, K20, K50 Key words and phrases: Reasoning and proving in the mathematics class-room, Combinatorics, Probability concept and probability theory
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Fried, Katalin, Judit Török, and Éva Vásárhelyi. "From the concrete activity to the exact mathematics." In Auch wenn A falsch ist, kann B wahr sein. Was wir aus Fehlern lernen können, 113–36. WTM-Verlag Münster, 2019. http://dx.doi.org/10.37626/ga9783959871143.0.06.
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In this paper, we are dealing with problems that have been discussed with prospective mathematics teachers to make them discover methodological opportunities and pitfalls at different levels of problem solving. We have chosen topics which are in themselves interesting for children, because they can be introduced playfully with concrete activity, they require little mathematical knowledge at the start, and their conscious discussion is also important for mathematical activities and applications of mathematics. We will show in Chapter 2 how the games lead to the Fibonacci series and the Pascal triangle, and in Chapter 3, how to get from paper folding to dragon curves. Classification: A30, D50. Keywords: manipulative materials and their use in problem solving (visualizations, models, educational games, paper folding), Fibonacci sequence, Pascal triangle, dragon curve.
Conference papers on the topic "Aggressiveness in children – Mathematical models"
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Rugonyi, Sandra, and Kent Thornburg. "Modeling the Effect of Hemodynamics on Cardiac Growth During Embryonic Development." In ASME 2010 First Global Congress on NanoEngineering for Medicine and Biology. ASMEDC, 2010. http://dx.doi.org/10.1115/nemb2010-13171.
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Congenital heart disease (CHD) affects about 1% of newborn babies in the US, and is the leading cause of non-infectious death in children. Abnormal blood flow dynamics during early development can lead to CHD. Although the effect of hemodynamic conditions on cardiac development — even under normal conditions — has been widely accepted, the mechanisms by which blood flow influences cardiac cell responses are only starting to emerge. Mathematical models of cardiac growth could then help elucidate key aspects of cardiac development.