La construcción social del “Buen Vivir“ (Sumak Kawsay) en Ecuador. Genealogía del diseño y gestión política de la vida.

Estos modos de vida otros aparecen en el texto de la nueva Constitución con las expresiones “buen vivir” –en castellano– y “sumak kawsay” –en kiwcha– y constituyen el paradigma de vida hacia el cual deberá orientarse el “desarrollo”. El “buen vivir” o “sumak kawsay” postula un reordenamiento general de lo que el término moderno “desarrollo” había querido expresar. En la medida que desborda los límites de un proyecto meramente económico, social o político, adquiere el carácter de paradigma regulador del conjunto total de la vida. Su perspectiva “holística” (León 2008a: 137) contrasta con los modelos de “desarrollo” que infructuosamente se han ensayado en la historia ecuatoriana y se plantea desde su novedad como una alternativa al modelo de “civilización” dominante

Exploring Principal Leadership Roles within a Community of Practice to Promote Science Performance of English Language Learners

The world we live in continues to become more technologically advanced and educating youth to become productive citizens in an ever-changing global society is vital. The importance and necessity of educating an increasingly diverse student population has become a top priority for Pre-K-16 educators. To meet this challenge and set priorities for serving English Language Learners (ELLs), educators at all levels need to forge a clear vision and shared commitment for fostering “… a sense of belonging and community that inspires collaboration” among its members for the success of all students (Texas Association of School Administrators, 2008, p. 4)

Study of the Antimicrobial Activity of Cuprite Synthesized by Chemical Route

With the rise of nanotechnology, inorganic nanomaterials have been developed which have a marked microbicide effect on a wide variety of microorganisms such as viruses, bacteria and fungi. In the present work, the synthesis, characterization and study of the antimicrobial activity of cuprite (copper (I) oxide, Cu2O), obtained by chemical route was carried out. To obtain cuprite, copper sulfate pentahydrate was used as a precursor and ascorbic acid and glucose as organic reductants. The synthesis using glucose as a reductant resulted in the obtaining of 100% cuprite with variable morphology, spheres, cubes and tetrahedra were observed, very dependent on the concentration of NaOH used in each synthesis, with particle sizes in the nanoscale and micrometer, that is, nanoparticles and Cu2O nanostructures were obtained. According to the results of the antimicrobial activity, it can be concluded that Cu2O copper oxide has an antimicrobial effect on Staphylococcus aureus bacteria, with the Minimum Inhibitory Concentration, MIC, 16 mg/mL

Derivada Conformable de Khalil y sus aplicaciones a modelos de crecimiento poblacional y enfriamiento de los cuerpos

The objective of this article is to develop some results on conformable fractional derivatives, specifically the one known as Khalil’s conformable fractional derivative. Its origin, properties, comparisons with other fractional derivatives and some applications on population grow and Newton law of cooling models are studied.El objetivo de este artículo es desarrollar algunos resultados sobre derivadas fraccionarias conformes, específicamente la conocida como derivada fraccionaria conforme de Khalil. Se estudia su origen, propiedades, comparaciones con otras derivadas fraccionarias y algunas aplicaciones en modelos de crecimiento poblacionales y la ley de enfriamiento de Newton

First Impressions, Cultural Assimilation, and Hireability in Job Interviews: Examining Body Language and Facial Expressions\u27 Impact on Employer\u27s Perceptions of Applicants

The purpose of this study was to discover what nonverbal facial behaviors are important in an interview setting. This was done by conducting interviews with eight current employers as well as four college age persons who have recently interviewed for a job. As a result, the data suggests that the two main facial behaviors sought by employers in the interview of the applicant were smiling and eye contact. Other nonverbal communication behaviors were analyzed as well. These findings will allow people to be better prepared and be more conscious of what they are displaying in the interview setting in the terms of nonverbal facial cues when interviewing for a future career

The Food and Drug Administration\u27s Evolving Regulation of Press Releases: Limits and Challenges

The Food and Drug Administration (FDA) has developed an informal framework for regulating press releases by drug and medical device companies. FDA asserted jurisdiction over press releases based on its authority over labeling and advertising, and over the past 20 years, the agency has both broadened and scaled back its claims to authority over press statements. Despite a somewhat predictable framework for anticipating how FDA regulates press materials, the agency\u27s approach appears to be in flux. FDA will not tolerate false or misleading statements in press materials, but there are legal and practical limits to its regulation in this area. The agency has had to adjust its approach to account for First Amendment concerns and resource limitations, which has led FDA to cooperate with the Securities and Exchange Commission (SEC), and take more creative responses to allegedly violative press materials. This article discusses how FDA has regulated press materials in the past, and how recent developments may signal new directions in the agency\u27s regulatory approach. The article proposes a framework for evaluating whether FDA might assert jurisdiction, and what the rules are if it does. The article considers the legal theories behind FDA\u27s approach and the implications for manufacturers

The epigenetic regulator ATF7ip inhibits Il2 expression, regulating Th17 responses.

T helper 17 cells (Th17) are critical for fighting infections at mucosal surfaces; however, they have also been found to contribute to the pathogenesis of multiple autoimmune diseases and have been targeted therapeutically. Due to the role of Th17 cells in autoimmune pathogenesis, it is important to understand the factors that control Th17 development. Here we identify the activating transcription factor 7 interacting protein (ATF7ip) as a critical regulator of Th17 differentiation. Mice with T cell-specific deletion of Atf7ip have impaired Th17 differentiation secondary to the aberrant overproduction of IL-2 with T cell receptor (TCR) stimulation and are resistant to colitis in vivo. ChIP-seq studies identified ATF7ip as an inhibitor of Il2 gene expression through the deposition of the repressive histone mark H3K9me3 in the Il2-Il21 intergenic region. These results demonstrate a new epigenetic pathway by which IL-2 production is constrained, and this may open up new avenues for modulating its production

An Evolutionary Neural Network Approach for Slopes Stability Assessment

A current big challenge for developed or developing countries is how to keep large-scale transportation infrastructure networks operational under all conditions. Network extensions and budgetary constraints for maintenance purposes are among the main factors that make transportation network management a non-trivial task. On the other hand, the high number of parameters affecting the stability condition of engineered slopes makes their assessment even more complex and difficult to accomplish. Aiming to help achieve the more efficient management of such an important element of modern society, a first attempt at the development of a classification system for rock and soil cuttings, as well as embankments based on visual features, was made in this paper using soft computing algorithms. The achieved results, although interesting, nevertheless have some important limitations to their successful use as auxiliary tools for transportation network management tasks. Accordingly, we carried out new experiments through the combination of modern optimization and soft computing algorithms. Thus, one of the main challenges to overcome is related to the selection of the best set of input features for a feedforward neural network for earthwork hazard category (EHC) identification. We applied a genetic algorithm (GA) for this purpose. Another challenging task is related to the asymmetric distribution of the data (since typically good conditions are much more common than bad ones). To address this question, three training sampling approaches were explored: no resampling, the synthetic minority oversampling technique (SMOTE), and oversampling. Some relevant observations were taken from the optimization process, namely, the identification of which variables are more frequently selected for EHC identification. After finding the most efficient models, a detailed sensitivity analysis was applied over the selected models, allowing us to measure the relative importance of each attribute in EHC identification