Cuestionario R2 de rigidez : teor??a m??nima, composici??n y datos de validez interna

Resumen de la revista

De 'El cuarto de atrás' de Carmen Martín Gaite a 'La meitat de l'ànima' de Carme Riera : notas sobre la memoria histórica en la novela contemporánea.

Resumen basado en el de la publicación. Resumen en inglés

Es pot educar nom??s amb m??nims morals : ??tica de m??nims "versus" m??nima educaci??

Resumen basado en el de la publicaci??n

Les WebQuest, una metodologia amb ??nima

Resumen basado en el de la publicaci??n

La niña en el cine Ecuador 2008 a 2015. En el nombre de la hija de Tania Hermida; En espera de Gabriela Calvache; Domingo Violeta, Ánima, Nuca y Alba de Ana Cristina Barragán

La niña ha sido representada en el cine ecuatoriano de 2008 a 2015, con carácter protagónico, en seis películas -dos largometrajes y cuatro cortometrajes-, todas en el género de la ficción cinematográfica y en todos los casos escritas y dirigidas por mujeres. Descubrir las huellas dejadas por estas obras en sus representaciones es el objetivo central de esta investigación que se limita a seis películas cuya protagonista es una niña. Huellas de la expresión artística contra-hegemónica y liberadora de la persona, sujeto de derechos y agente social que son las niñas, en relación a los imaginarios y construcciones sociales que los medios de comunicación así como el arte permiten reforzar o replantear. La investigación teórica, entrevistas a profundidad y el análisis de la imagen han sido los métodos, técnicas e instrumentos utilizados a fin de lograr los necesarios referentes, insumos y criterios para lograr una mirada integral a partir de las evidencias particulares que las autoras y sus obras nos dejan. Así se ha logrado una aproximación a la representación de la niña que las autoras han hecho en sus películas, respondiendo a sus propias experiencias de vida y a la necesidad de expresar libremente sus emociones y sentimientos.

Regulation of the Anaphase-promoting Complex/Cyclosome by bimAAPC3 and Proteolysis of NIMA

Surprisingly, although highly temperature-sensitive, the bimA1APC3 anaphase-promoting complex/cyclosome (APC/C) mutation does not cause arrest of mitotic exit. Instead, rapid inactivation of bimA1APC3 is shown to promote repeating oscillations of chromosome condensation and decondensation, activation and inactivation of NIMA and p34cdc2 kinases, and accumulation and degradation of NIMA, which all coordinately cycle multiple times without causing nuclear division. These bimA1APC3-induced cell cycle oscillations require active NIMA, because a nimA5 + bimA1APC3 double mutant arrests in a mitotic state with very high p34cdc2 H1 kinase activity. NIMA protein instability during S phase and G2 was also found to be controlled by the APC/C. The bimA1APC3 mutation therefore first inactivates the APC/C but then allows its activation in a cyclic manner; these cycles depend on NIMA. We hypothesize that bimAAPC3 could be part of a cell cycle clock mechanism that is reset after inactivation of bimA1APC3. The bimA1APC3 mutation may also make the APC/C resistant to activation by mitotic substrates of the APC/C, such as cyclin B, Polo, and NIMA, causing mitotic delay. Once these regulators accumulate, they activate the APC/C, and cells exit from mitosis, which then allows this cycle to repeat. The data indicate that bimAAPC3 regulates the APC/C in a NIMA-dependent manner.

Mutations in a NIMA-related kinase gene, Nek1, cause pleiotropic effects including a progressive polycystic kidney disease in mice

We previously have described a mouse model for polycystic kidney disease (PKD) caused by either of two mutations, kat or kat2J, that map to the same locus on chromosome 8. The homozygous mutant animals have a latent onset, slowly progressing form of PKD with renal pathology similar to the human autosomal-dominant PKD. In addition, the mutant animals show pleiotropic effects that include facial dysmorphism, dwarfing, male sterility, anemia, and cystic choroid plexus. We previously fine-mapped the kat2J mutation to a genetic distance of 0.28 ± 0.12 centimorgan between D8Mit128 and D8Mit129. To identify the underlying molecular defect in this locus, we constructed an integrated genetic and physical map of the critical region surrounding the kat2J mutation. Cloning and expression analysis of the transcribed sequences from this region identified Nek1, a NIMA (never in mitosis A)-related kinase as a candidate gene. Further analysis of the Nek1 gene from both kat/kat and kat2J/kat2J mutant animals identified a partial internal deletion and a single-base insertion as the molecular basis for these mutations. The complex pleiotropic phenotypes seen in the homozygous mutant animals suggest that the NEK1 protein participates in different signaling pathways to regulate diverse cellular processes. Our findings identify a previously unsuspected role for Nek1 in the kidney and open a new avenue for studying cystogenesis and identifying possible modes of therapy.

Estatutos de la Sociedad Carbonífera y Minera Mexicana : sociedad anónima, domiciliada en México.

Mode of access: Internet.

Estatutos de la Compañía de Minas de "La Blanca y Anexas," Sociedad Anónima, Pachuca.

Mode of access: Internet.

"Estatutos de la Compañía de Minas de la Blanca y Anexas," Sociedad Anónima : reformados con fundamento de los acuerdos tomados por la Asamblea General Extraordinaria de Accionistas celebrada el 12 de junio de 1912, y su sesión correlativa de Consejo de 12 de julio de 1912, Pachuca.

Mode of access: Internet.

A review on degradation models in reliability analysis

With increasingly complex engineering assets and tight economic requirements, asset reliability becomes more crucial in Engineering Asset Management (EAM). Improving the reliability of systems has always been a major aim of EAM. Reliability assessment using degradation data has become a significant approach to evaluate the reliability and safety of critical systems. Degradation data often provide more information than failure time data for assessing reliability and predicting the remnant life of systems. In general, degradation is the reduction in performance, reliability, and life span of assets. Many failure mechanisms can be traced to an underlying degradation process. Degradation phenomenon is a kind of stochastic process; therefore, it could be modelled in several approaches. Degradation modelling techniques have generated a great amount of research in reliability field. While degradation models play a significant role in reliability analysis, there are few review papers on that. This paper presents a review of the existing literature on commonly used degradation models in reliability analysis. The current research and developments in degradation models are reviewed and summarised in this paper. This study synthesises these models and classifies them in certain groups. Additionally, it attempts to identify the merits, limitations, and applications of each model. It provides potential applications of these degradation models in asset health and reliability prediction.

A review on reliability models with covariates

Modern Engineering Asset Management (EAM) requires the accurate assessment of current and the prediction of future asset health condition. Suitable mathematical models that are capable of predicting Time-to-Failure (TTF) and the probability of failure in future time are essential. In traditional reliability models, the lifetime of assets is estimated using failure time data. However, in most real-life situations and industry applications, the lifetime of assets is influenced by different risk factors, which are called covariates. The fundamental notion in reliability theory is the failure time of a system and its covariates. These covariates change stochastically and may influence and/or indicate the failure time. Research shows that many statistical models have been developed to estimate the hazard of assets or individuals with covariates. An extensive amount of literature on hazard models with covariates (also termed covariate models), including theory and practical applications, has emerged. This paper is a state-of-the-art review of the existing literature on these covariate models in both the reliability and biomedical fields. One of the major purposes of this expository paper is to synthesise these models from both industrial reliability and biomedical fields and then contextually group them into non-parametric and semi-parametric models. Comments on their merits and limitations are also presented. Another main purpose of this paper is to comprehensively review and summarise the current research on the development of the covariate models so as to facilitate the application of more covariate modelling techniques into prognostics and asset health management.

The explicit hazard model – part 1: theoretical development

Modern Engineering Asset Management (EAM) requires the accurate assessment of current and the prediction of future asset health condition. Appropriate mathematical models that are capable of estimating times to failures and the probability of failures in the future are essential in EAM. In most real-life situations, the lifetime of an engineering asset is influenced and/or indicated by different factors that are termed as covariates. Hazard prediction with covariates is an elemental notion in the reliability theory to estimate the tendency of an engineering asset failing instantaneously beyond the current time assumed that it has already survived up to the current time. A number of statistical covariate-based hazard models have been developed. However, none of them has explicitly incorporated both external and internal covariates into one model. This paper introduces a novel covariate-based hazard model to address this concern. This model is named as Explicit Hazard Model (EHM). Both the semi-parametric and non-parametric forms of this model are presented in the paper. The major purpose of this paper is to illustrate the theoretical development of EHM. Due to page limitation, a case study with the reliability field data is presented in the applications part of this study.

The Explicit Hazard Model – Part 2 : Applications

Hazard and reliability prediction of an engineering asset is one of the significant fields of research in Engineering Asset Health Management (EAHM). In real-life situations where an engineering asset operates under dynamic operational and environmental conditions, the lifetime of an engineering asset can be influenced and/or indicated by different factors that are termed as covariates. The Explicit Hazard Model (EHM) as a covariate-based hazard model is a new approach for hazard prediction which explicitly incorporates both internal and external covariates into one model. EHM is an appropriate model to use in the analysis of lifetime data in presence of both internal and external covariates in the reliability field. This paper presents applications of the methodology which is introduced and illustrated in the theory part of this study. In this paper, the semi-parametric EHM is applied to a case study so as to predict the hazard and reliability of resistance elements on a Resistance Corrosion Sensor Board (RCSB).