Migration and Wellbeing at the Lower Echelons of the Economy: A Study of Delhi Slums

This paper based on a primary survey of households (2004-05) in the slum clusters of Delhi examines whether migrants are likely to experience upward mobility in their place of destination or alternatively, if they merely transfer their poverty from rural areas to large cities. First, a simple bifurcation of population in terms of poor and non-poor sub-groups is examined along with the incidence of poverty across different categories of occupations and non-workers. Then, an explanation of the variations in per capita expenditure across households is provided, and a binomial logit model (poor/non-poor) is developed identifying the variables which raise (or reduce) the probability of being non-poor (or poor). Next, an estimate of the wellbeing (deprivation) index is derived from factor analysis of a large number of variables including demographic and economic aspects of households. Empirical findings suggest that while duration of migration and the wellbeing index do not have a definite relationship, migrant households who have been in the city for a very long time have a higher wellbeing index on average than those who migrated in the last ten years. This tends to support the view that migrants do not merely transfer rural poverty to urban areas, and further that population mobility yields improvement in the living standard, if only in the very long term. Implementation of "employment-cum-shelter" support schemes in the urban areas may contribute to their wellbeing.

Factor decomposition of income inequality change : Japan's regional income disparity from 1955 to 1998

We propose a method for the decomposition of inequality changes based on panel data regression. The method is an efficient way to quantify the contributions of variables to changes of the Theil T index while satisfying the property of uniform addition. We illustrate the method using prefectural data from Japan for the period 1955 to 1998. Japan experienced a diminishing of regional income disparity during the years of high economic growth from 1955 to 1973. After estimating production functions using panel data for prefectures in Japan, we apply the new decomposition approach to identify each production factor’s contributions to the changes of per capita income inequality among prefectures. The decomposition results show that total factor productivity (residual) growth, population change (migration), and public capital stock growth contributed to the diminishing of per capita income disparity.

Relaciones entre los usos del suelo, las infraestructuras y la planificación: incidencia de la red viaria y el planeamiento en la aparición del terciario para el caso de la N-VI

Esta tesis examina el papel de la red viaria y el planeamiento urbanístico en la localización de las actividades terciarias. A partir de los años sesenta se produce una modificación de los patrones de comportamiento espacial de las actividades productivas. En la raíz de estos cambios está los procesos de globalización e internacionalización de la economía y un importante aumento de la utilización vehículos privados. Todo ello da lugar a una preocupación entre los profesionales por la identificación de variables en esa organización espacial, y por la búsqueda de modelos que mejorasen las condiciones de competitividad en el entramado urbano, reclamado también la formulación de conceptos diferentes, capaces de entender los cambios territoriales de la reestructuración permanente en que viven las economías capitalistas avanzadas. En este marco, hay un aumento importante de las actividades terciarias o proceso de terciarización; que es el principio basilar para la suburbanización de este sector. Consiste, en buena medida, en unas necesidades de descentralización y dispersión de las actividades terciarias por todo el territorio, con demandas de nuevos espacios para todo tipo de actividades empresariales. Se va así generando un espacio urbano complejo, con nuevas actividades, distintas de la residencial, y con tipologías edificatorias diferentes: centros comerciales, hipermercados, zocos o edificios de empresas dedicadas a servicios avanzados y altamente cualificados. Adquiere, por tanto, un fuerte protagonismo los espacios periféricos de las grandes ciudades. En la transformación de este territorio interviene el planeamiento urbanístico porque prevé la ocupación del suelo y la forma de uso. Y también la carretera considerada clave en el desarrollo histórico de la ciudad. Consecuentemente, se impulsan una plétora de nuevas líneas de investigación y nuevas formas de aproximación al estudio de las relaciones entre las infraestructuras viarias y los usos del suelo. El interés del proyecto de investigación es, por todo ello, estudiar en que medida la localización del terciario depende del planeamiento urbano y de las variaciones en la red viaria. Es decir, la hipótesis de este trabajo se puede enunciar diciendo que: en la aparición del terciario inciden dos variables, el planeamiento urbanístico y la red viaria; lógicamente siendo consciente de la dificultad intrínseca de separar algún parámetro y sus relaciones de un sistema funcional urbano. Centrando este enfoque sobre el caso particular del corredor de la carretera de La Coruña (N-VI) situado en el oeste de la Comunidad de Madrid. Es un ámbito suburbano que comprende los términos municipales de Las Rozas y Majadahonda, un segmento del municipio de Madrid (abarca los barrios de Aravaca, el Plantío y Valdemarín, y una pequeña superficie de la Casa de Campo, Ciudad Universitaria y El Pardo), y la mitad septentrional del municipio de Pozuelo de Alarcón. La conclusión general a la que se ha llegado es que se trata de un fenómeno complejo, en el que se detecta que: A) La aprobación de un nuevo Plan Urbanístico no supone un cambio inmediato en la evolución cuantitativa de la implantación de actividades terciarias en edificio exclusivo en el área de estudio. B) Se evidencia una relación directa entre la implantación de una nueva infraestructura de transporte o modificación de algún elemento importante y el crecimiento de la localización de actividades terciarias. C) Resulta difícil verificar que cuando confluyen mejoras o nuevas construcciones en la red viaria y una estrategia en el planeamiento dirigida a la ordenación e intervención del espacio terciario, el número de edificios terciarios aumente. ABSTRACT This thesis examines the role of road networks and urban planning in the location of tertiary activities. Since the sixties there is a modification of spatial behavior patterns of production activities. At the root of these changes is the process of globalization and internationalization of the economy and a significant increase in private car use. This leads to a concern among professionals in the identification of variables in the spatial organization, and the search for models that would improve the competitive conditions in the urban framework, also called for the formulation of different concepts, able to understand the changes territorial restructuring that live permanently in the advanced capitalist economies. In this context, there is a significant increase in tertiary activities or process outsourcing, which is the beginning basilar to the suburbanization of the sector. It consists, in large part, on the Needs of decentralization and dispersal of tertiary activities throughout the territory, demands for new spaces for all types of business activities. It is thus generating a complex urban area, with new activities, other than residential and with different building typologies: shopping malls, hypermarkets, souks and buildings of companies engaged in advanced and highly skilled services. Thus takes strong role peripheral areas of big cities. In the transformation of this region is involved in providing for urban planning land use and how to use. And the road is considered key in the historical development of the city. Consequently, they are promoting a plethora of new research and new ways of approaching the study of the relationship between road infrastructure and land use. The interest of the research project is, for all that, consider to what extent depends on the location of tertiary urban planning and changes in the road network. That is, the hypothesis of this work can be stated by saying that: the emergence of two variables affecting tertiary, urban planning and road network, of course being aware of the inherent difficulty of separating any parameters and functional relationships of an urban. Approach focusing on the particular case of the road corridor from La Coruña (N-VI) located in the west of Madrid. It is a suburban area comprising the municipalities of Las Rozas and Majadahonda, a segment of the city of Madrid (covering the districts of Aravaca, the planting and Valdemarín, and a small area of the Casa de Campo, Ciudad Universitaria and El Pardo) , and the northern half of the town of Pozuelo de Alarcón. The general conclusion has been reached is that this is a complex phenomenon, which is detected: A) The approval of a new Urban Plan is not an immediate change in the quantitative evolution of the implementation of tertiary activities in exclusive building in the study area. B) It shows a direct relationship between the introduction of a new transport infrastructure or amendment to an important and growing element of the location of tertiary activities. C) It is difficult to verify that when improvements or new construction come together in the road network and planning a strategy aimed at the management and intervention of third space, the number of commercial buildings increases.

Analysis of house prices to assess economic impacts of new public transport infrastructure: Madrid metro line 12.

Transportation infrastructure is known to affect the value of real estate property by virtue of changes in accessibility. The impact of transportation facilities is highly localized as well, and it is possible that spillover effects result from the capitalization of accessibility. The objective of this study was to review the theoretical background related to spatial hedonic models and the opportunities that they provided to evaluate the effect of new transportation infrastructure. An empirical case study is presented: the Madrid Metro Line 12, known as Metrosur, in the region of Madrid, Spain. The effect of proximity to metro stations on housing prices was evaluated. The analysis took into account a host of variables, including structure, location, and neighborhood and made use of three modeling approaches: linear regression estimation with ordinary least squares, spatial error, and spatial lag. The results indicated that better accessibility to Metrosur stations had a positive impact on real estate values and that the effect was marked in cases in which a house was for sale. The results also showed the presence of submarkets, which were well defined by geographic boundaries, and transport fares, which implied that the economic benefits differed across municipalities.

Discriminant analysis of the specialty of elite cyclist

The different demands of competition coupled with the morphological and physiological characteristics of cyclists have led to the appearance of cycling specialities. The aims of this study were to determine the differences in the anthropometric and physiological features in road cyclists with different specialities, and to develop a multivariate model to classify these specialities and predict which speciality may be appropriate to a given cyclist. Twenty male, elite amateur cyclists were classified by their trainers as either flat terrain riders, hill climbers, or all-terrain riders. Anthropometric and cardiorespiratory studies were then undertaken. The results were analysed by MANOVA and two discriminant tests. Most differences between the speciality groups were of an anthropometric nature. The only cardiorespiratory variable that differed significantly (p < 0.05) was maximum oxygen consumption with respect to body weight (VO2max/kg). The first discriminant test classified 100% of the cyclists within their true speciality; the second, which took into account only anthropometric variables, correctly classified 75%. The first discriminant model allows the likely speciality of still non-elite cyclists to be predicted from a small number of variables, and may therefore help in their specific training.

Identification of a biomarker panel for colorectal cancer diagnosis

Background Malignancies arising in the large bowel cause the second largest number of deaths from cancer in the Western World. Despite progresses made during the last decades, colorectal cancer remains one of the most frequent and deadly neoplasias in the western countries. Methods A genomic study of human colorectal cancer has been carried out on a total of 31 tumoral samples, corresponding to different stages of the disease, and 33 non-tumoral samples. The study was carried out by hybridisation of the tumour samples against a reference pool of non-tumoral samples using Agilent Human 1A 60-mer oligo microarrays. The results obtained were validated by qRT-PCR. In the subsequent bioinformatics analysis, gene networks by means of Bayesian classifiers, variable selection and bootstrap resampling were built. The consensus among all the induced models produced a hierarchy of dependences and, thus, of variables. Results After an exhaustive process of pre-processing to ensure data quality--lost values imputation, probes quality, data smoothing and intraclass variability filtering--the final dataset comprised a total of 8, 104 probes. Next, a supervised classification approach and data analysis was carried out to obtain the most relevant genes. Two of them are directly involved in cancer progression and in particular in colorectal cancer. Finally, a supervised classifier was induced to classify new unseen samples. Conclusions We have developed a tentative model for the diagnosis of colorectal cancer based on a biomarker panel. Our results indicate that the gene profile described herein can discriminate between non-cancerous and cancerous samples with 94.45% accuracy using different supervised classifiers (AUC values in the range of 0.997 and 0.955)

Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers

The main purpose of a gene interaction network is to map the relationships of the genes that are out of sight when a genomic study is tackled. DNA microarrays allow the measure of gene expression of thousands of genes at the same time. These data constitute the numeric seed for the induction of the gene networks. In this paper, we propose a new approach to build gene networks by means of Bayesian classifiers, variable selection and bootstrap resampling. The interactions induced by the Bayesian classifiers are based both on the expression levels and on the phenotype information of the supervised variable. Feature selection and bootstrap resampling add reliability and robustness to the overall process removing the false positive findings. The consensus among all the induced models produces a hierarchy of dependences and, thus, of variables. Biologists can define the depth level of the model hierarchy so the set of interactions and genes involved can vary from a sparse to a dense set. Experimental results show how these networks perform well on classification tasks. The biological validation matches previous biological findings and opens new hypothesis for future studies

Towards resource usage analysis of miniZinc models

We present a method for the static resource usage analysis of MiniZinc models. The analysis can infer upper bounds on the usage that a MiniZinc model will make of some resources such as the number of constraints of a given type (equality, disequality, global constraints, etc.), the number of variables (search variables or temporary variables), or the size of the expressions before calling the solver. These bounds are obtained from the models independently of the concrete input data (the instance data) and are in general functions of sizes of such data. In our approach, MiniZinc models are translated into Ciao programs which are then analysed by the CiaoPP system. CiaoPP includes a parametric analysis framework for resource usage in which the user can define resources and express the resource usage of library procedures (and certain program construets) by means of a language of assertions. We present the approach and report on a preliminary implementation, which shows the feasibility of the approach, and provides encouraging results.

An integration of partial evaluation in a generic abstract interpretation framework

Information generated by abstract interpreters has long been used to perform program specialization. Additionally, if the abstract interpreter generates a multivariant analysis, it is also possible to perform múltiple specialization. Information about valúes of variables is propagated by simulating program execution and performing fixpoint computations for recursive calis. In contrast, traditional partial evaluators (mainly) use unfolding for both propagating valúes of variables and transforming the program. It is known that abstract interpretation is a better technique for propagating success valúes than unfolding. However, the program transformations induced by unfolding may lead to important optimizations which are not directly achievable in the existing frameworks for múltiple specialization based on abstract interpretation. The aim of this work is to devise a specialization framework which integrates the better information propagation of abstract interpretation with the powerful program transformations performed by partial evaluation, and which can be implemented via small modifications to existing generic abstract interpreters. With this aim, we will relate top-down abstract interpretation with traditional concepts in partial evaluation and sketch how the sophisticated techniques developed for controlling partial evaluation can be adapted to the proposed specialization framework. We conclude that there can be both practical and conceptual advantages in the proposed integration of partial evaluation and abstract interpretation.

Identification of a biomarker panel for colorectal cancer diagnosis

Background:Malignancies arising in the large bowel cause the second largest number of deaths from cancer in the Western World. Despite progresses made during the last decades, colorectal cancer remains one of the most frequent and deadly neoplasias in the western countries. Methods: A genomic study of human colorectal cancer has been carried out on a total of 31 tumoral samples, corresponding to different stages of the disease, and 33 non-tumoral samples. The study was carried out by hybridisation of the tumour samples against a reference pool of non-tumoral samples using Agilent Human 1A 60-mer oligo microarrays. The results obtained were validated by qRT-PCR. In the subsequent bioinformatics analysis, gene networks by means of Bayesian classifiers, variable selection and bootstrap resampling were built. The consensus among all the induced models produced a hierarchy of dependences and, thus, of variables. Results: After an exhaustive process of pre-processing to ensure data quality--lost values imputation, probes quality, data smoothing and intraclass variability filtering--the final dataset comprised a total of 8, 104 probes. Next, a supervised classification approach and data analysis was carried out to obtain the most relevant genes. Two of them are directly involved in cancer progression and in particular in colorectal cancer. Finally, a supervised classifier was induced to classify new unseen samples. Conclusions: We have developed a tentative model for the diagnosis of colorectal cancer based on a biomarker panel. Our results indicate that the gene profile described herein can discriminate between non-cancerous and cancerous samples with 94.45% accuracy using different supervised classifiers (AUC values in the range of 0.997 and 0.955).

Citizens Interactive Behaviour in the Performance of the Urban Space of Cohabitacion. Interactive Atlas of Urban Habitability

The article shows a range of contemporary phenomena linked with urban space and the increasing citizens? interactivity in the network. The sources for theory and reflection are related to the ongoing research project ?Interactive Atlas of urban habitability" which is based on citizen participation in the sensitive description of the urban environment. It addresses a classification of variables related to the desires of urban habitability.

Virtual-bound, filamentary and layered states in a box-shaped quantum dot of square potential form the exact numerical solution of the effective mass Schrodinger equation

The effective mass Schrodinger equation of a QD of parallelepipedic shape with a square potential well is solved by diagonalizing the exact Hamiltonian matrix developed in a basis of separation-of-variables wavefunctions. The expected below bandgap bound states are found not to differ very much from the former approximate calculations. In addition, the presence of bound states within the conduction band is confirmed. Furthermore, filamentary states bounded in two dimensions and extended in one dimension and layered states with only one dimension bounded, all within the conduction band which are similar to those originated in quantum wires and quantum wells coexist with the ordinary continuum spectrum of plane waves. All these subtleties are absent in spherically shaped quantum dots, often used for modeling.

Integrated studies for the evaluation of conservation treatments on stone material from archaeological sites. Application to the case of Mérida (Spain)

In recent decades archaeological sites have been subject of many interventions. The application of conservation treatments, such us consolidation and protection ones by means of using, for instance, synthetic resins or organosilicic compounds, has been demonstrated inadequate in many cases, and even harmful for the heritage materials [1]. Evaluation studies should be a mandatory task, ideally before and after the intervention, but both tasks are complex and unusual in the case of archaeological heritage. Moreover, there is a general lack of knowledge in the mid and long term effects of these treatments, and how to act when these have resulted in deterioration of the original material. Remains of Roman Augusta Emerita, located in Merida (Spain), have gone through many interventions since the first archaeological campaign, in 1910. Some of them have demonstrated already to be harmful [2], others, more recent, must be evaluated in order to determine its effectiveness and durability, considering that many of these treatments are currently still applied. For this purpose a range of parameters has been measured such as color, surface hardness and roughness, mechanical or hydric properties, porosity, etc. on the original material (granite, marble and mortars mainly), and then the transformations of those same parameters analyzed after treatment, both in situ, in places where a intervention is documented, and in the laboratory, in samples. The study is being conducted both in the laboratory (Petrophysics Laboratory within IGEO) and in situ, on selected archaeological sites of Mérida (Theater and House of Mitreo). The comparison of results in untreated and treated areas of the site, and in treated-untreated samples, allows the distinction of variables that affect the interaction between products and stone material, issues such us effectiveness and durability of treatment and its validation or dismissal.

Transition to a cyclable city: policies and variables affecting cycling commuting

The growing interest in achieving the objectives of cycling policies has increased the need to know the key variables that influence the use of the bicycle for daily mobility. This paper makes a contribution in this research line by examining a varying nature of variables – objective and psychological - and their influence on cycling commuting in the context of a “climber cycling city”: Vitoria-Gasteiz (Spain). Statistical differences of the variables were determined between cycling commuters and commuters by other modes. The objective variables analyzed allowed us to identify the cycling commuting profile in Vitoria-Gasteiz, but showed a small effect on cycling commuting. However, analyses on seven cycling psychological variables identified and defined, showed a higher influence, especially “Individual capacities” and “Non-commuting cycling habit”. Their results allowed recommending a wide et of policy initiatives. These policy recommendations were made considering that Vitoria-Gasteiz is a “city in transition” towards cycling: a high level of cycling share for the Spanish contex t and the safety issue not being the main barrier for cycling. However the psychological latent variable “Non-commuting cycling habit” indicates that normalization of the bicycle as a mode of transport needs more progress.

A model for the economic evaluation of master city plans: a pilot study of Västerås, Sweden

The paper introduces the framework, problems addressed, objective function, types of variables and so on for a model designed to facilitate the economic evaluation of master city plans. The model presented here has been used in a pilot study of the city of Vasteras, Sweden. It consists of three main parts, data, results and method. Some conclusions are drawn.