Analysis of Variables for the Suitable Growth of a Latin American City in a Contemporary Context

Occupation in a city involves the process of continuous expansion. The fitness of a territory can be measured as a result of its physical, socioeconomic, and cultural variables. Hence, this is what lays the foundations for a comprehensive growth of human settlements. Also, it provides a setting that allows the social reproduction of its inhabitants beyond their basic needs. The way to predict its expression in the territory results to elements conceived through planning. This planning is conditional on the existing legal framework, and it is expressed during zoning which is exceeded in many cases. This research analyses the characteristics and practices of the planning process which is derived from various considerations in the international arena. It was conducted from a prospective approach to manage the territory with the aim of identifying variables that allows one to understand the dynamics of the physical expansion and growth of the cities. Also, it also opines success stories in order to define the basic components which are articulated in a harmonious and sustainable way

Syntactic Network Analysis in Schizophrenia-Spectrum Disorders

BACKGROUND: Language anomalies are a hallmark feature of schizophrenia-spectrum disorders (SSD). Here, we used network analysis to examine possible differences in syntactic relations between patients with SSD and healthy controls. Moreover, we assessed their relationship with sociodemographic factors, psychotic symptoms, and cognitive functioning, and we evaluated whether the quantification of syntactic network measures has diagnostic value. STUDY DESIGN: Using a semi-structured interview, we collected speech samples from 63 patients with SSD and 63 controls. Per sentence, a syntactic representation (ie, parse tree) was obtained and used as input for network analysis. The resulting syntactic networks were analyzed for 11 local and global network measures, which were compared between groups using multivariate analysis of covariance, considering the effects of age, sex, and education. RESULTS: Patients with SSD and controls significantly differed on most syntactic network measures. Sex had a significant effect on syntactic measures, and there was a significant interaction between sex and group, as the anomalies in syntactic relations were most pronounced in women with SSD. Syntactic measures were correlated with negative symptoms (Positive and Negative Syndrome Scale) and cognition (Brief Assessment of Cognition in Schizophrenia). A random forest classifier based on the best set of network features distinguished patients from controls with 74% cross-validated accuracy. CONCLUSIONS: Examining syntactic relations from a network perspective revealed robust differences between patients with SSD and healthy controls, especially in women. Our results support the validity of linguistic network analysis in SSD and have the potential to be used in combination with other automated language measures as a marker for SSD.</p

Air pollution Analysis with a PFCM Clustering Algorithm Applied in a Real Database of Salamanca (Mexico)

Over the last ten years, Salamanca has been considered among the most polluted cities in México. Nowadays, there is an Automatic Environmental Monitoring Network (AEMN) which measures air pollutants (Sulphur Dioxide (SO2), Particular Matter (PM10), Ozone (O3), etc.), as well as environmental variables (wind speed, wind direction, temperature, and relative humidity), and it takes a sample of the variables every minute. The AEM Network is mainly based on three monitoring stations located at Cruz Roja, DIF, and Nativitas. In this work, we use the PFCM (Possibilistic Fuzzy c Means) clustering algorithm as a mean to get a combined measure, from the three stations, looking to provide a tool for better management of contingencies in the city, such that local or general action can be taken in the city according to the pollution level given by each station and the combined measure. Besides, we also performed an analysis of correlation between pollution and environmental variables. The results show a significative correlation between pollutant concentrations and some environmental variables. So, the combined measure and the correlations can be used for the establishment of general contingency thresholds

A systemic model of analysis of organizational culture in health care services

Introduction: The aim of this paper is to present the results of a case study carried out in the state of Hidalgo under a systemic model of analysis. This focused the organizational culture of health care services with the main purpose of studying these organizations and to understand their inner and outer dynamics. Method: A case study carried out under qualitative approach with the application of focus groups and interviews in communitarian health centers, physicians offices, sanatoriums and hospitals of the state of Hidalgo, Mexico. Results: The organizational culture in health care services was classified into 4 subsystems: human, technical-technological, functionalstructural and environmental macrosystem. Conclusion: An interrelation among the four subsystems was identified defining the dynamics of organizational culture of health care services in three transactions: interdynamics, intradynamics and outerdynamics

Visual thinking como habilidad potenciadora de la gerencia creativa en equipos innovadores

The research focused on designing a visual thinking-based competency model as an enhancer skill of creative management in innovative teams. It can be classified as part of the positivist paradigm with a quantitative focus; it is also explanatory with a non-experimental, cross-cutting, field design. The population was integrated by twelve (12) innovative team members. An 87-item survey was applied, with scale-like response alternatives. This instrument was validated by experts, reliability was determined by a pilot test applied to a fraction of reporting units. The results were analyzed with descriptive statistics building frequency tables, including arithmetic mean and standard deviation, as well as inferential statistics for calculating variance. To establish the degree of association between variables, the Pearson correlation coefficient was used. The results showed that there is an association between visual thinking and creative management, reflecting a considerable correlative coefficient. A management skills model was established based on an emerging theory, which is why we propose that innovative teams must La investigación se orientó a diseñar un modelo de competencias basado en el visual thinking como habilidad potenciadora de la gerencia creativa en equipos innovadores. La investigación se enmarca dentro del paradigma positivista con enfoque cuantitativo. Asimismo, es explicativa con un diseño no experimental, transversal, de campo. La población se integró con doce (12) miembros de equipos innovadores. Se aplicó una encuesta de 87 ítems, con alternativas de respuestas tipo escala. Dicho instrumento fue validado por expertos, la confiabilidad se determinó con una prueba piloto aplicada a una fracción de unidades informantes. Los resultados fueron analizados con estadística descriptiva construyendo tablas de frecuencia, incluyendo media aritmética y desviación estándar, asi como estadística inferencial para calcular la varianza. Para establecer el grado de asociación entre las variables, se utilizó el Coeficiente de Correlación de Pearson. Los resultados arrojaron que existe asociación entre el visual thinking y la gerencia creativa, reflejando un coeficiente correlativo considerable. Se estableció un modelo de competencias gerenciales en base a una teoría emergente, motivo por el cual los equipos innovadores deben trabajar en el fortalecimiento de ambas variables a fin de optimizar la toma de decisiones en los distintos niveles jerárquicos promoviendo la solución de problemas

PLANEACIÓN DIDÁCTICA GENERAL DE LA ASGNATURA: DESARROLLO PERSONAL

GUÍA DIDÁCTICA / PLANEACIÓN DIDÁCTICA (NMS

A Stochastic Phylogenetic Algorithm for Mitochondrial DNA Analysis

This paper presents an exploratory analysis of the mitochondrial DNA (mtDNA) of 32 species in the subphylum Vertebrata, divided in 7 taxonomic classes. Multiple stochastic parameters, such as the Hurst and detrended fluctuation analysis (DFA) exponents, Shannon entropy, and Chargaff ratio are computed for each DNA sequence. The biological interpretation of these parameters leads to defining a triplet of novel indices. These new functions incorporate the long-range correlations, the probability of occurrence of nucleic bases, and the ratio of pyrimidines-to-purines. Results suggest that relevant regions in mtDNA can be located using the proposed indices. Furthermore, early results from clustering algorithms indicate that the indices introduced might be useful in phylogenetic studies