Uso de plantas medicinales según la cosmovisión en andina,por parte de los hombre y mujeres de sabiduría, en la parroquia El Valle, Cuenca, 2015

Antecedentes: la medicina andina se aplica desde hace muchos siglos en nuestro territorio, ha sido heredada de generación a generación en las comunidades indígenas; este conocimiento ancestral es menospreciado ya sea por desconocimiento o por falta de interés; y no es suficientemente estudiado en el sistema de la medicina occidental. Objetivo: conocer el uso de plantas medicinales en la comunidad de El Valle por parte de hombres y mujeres de sabiduría ancestral, según la cosmovisión andina. Materiales y métodos: el presente es un estudio cualitativo de orden narrativo, para determinar el uso de las plantas medicinales aplicadas en la parroquia de El Valle, cantón Cuenca, mediante el análisis de entrevistas a hombres y mujeres de sabiduría ancestral, con cuestionarios previamente realizados; luego se procesaron y analizaron en el software para datos cualitativos Atlas ti, y finalmente se construye una memoria en relatos y diagramas. Resultados: las plantas medicinales más utilizadas son el altamiso, la ruda, agua de sauco, la zarzaparrilla, el eucalipto; se utilizan como infusión, en maceración y baños. Las enfermedades que tratan son occidentales y tradicionales, dentro de las primeras están estrés, diarrea y patologías del aparato respiratorias, las patologías tradicionales son, el mal de ojo, mal de aire y el espanto

Avaliação dos principais programas de boas práticas agropecuárias implantados no Brasil para promover a sustentabilidade da cadeia leiteira

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Agronomia e Medicina Veterinária, 2016.

Análise do Programa Melhor em Casa : um olhar sobre a atenção domiciliar no âmbito do Sistema Único de Saúde (SUS)

Mestrado (dissertação)—Universidade de Brasília, Faculdade de Ciências da Saúde, Programa de Pós-Graduação em Saúde Coletiva, 2016.

Neuroscience and Hindu Aesthetics: A Critical Analysis of V.S. Ramachandran’s “Science of Art”

Neuroaesthetics is the study of the brain’s response to artistic stimuli. The neuroscientist V.S. Ramachandran contends that art is primarily “caricature” or “exaggeration.” Exaggerated forms hyperactivate neurons in viewers’ brains, which in turn produce specific, “universal” responses. Ramachandran identifies a precursor for his theory in the concept of rasa (literally “juice”) from classical Hindu aesthetics, which he associates with “exaggeration.” The canonical Sanskrit texts of Bharata Muni’s Natya Shastra and Abhinavagupta’s Abhinavabharati, however, do not support Ramachandran’s conclusions. They present audiences as dynamic co-creators, not passive recipients. I believe we could more accurately model the neurology of Hindu aesthetic experiences if we took indigenous rasa theory more seriously as qualitative data that could inform future research.

Geospatial Data Indexing Analysis and Visualization via Web Services with Autonomic Resource Management

With the exponential growth of the usage of web-based map services, the web GIS application has become more and more popular. Spatial data index, search, analysis, visualization and the resource management of such services are becoming increasingly important to deliver user-desired Quality of Service. First, spatial indexing is typically time-consuming and is not available to end-users. To address this, we introduce TerraFly sksOpen, an open-sourced an Online Indexing and Querying System for Big Geospatial Data. Integrated with the TerraFly Geospatial database [1-9], sksOpen is an efficient indexing and query engine for processing Top-k Spatial Boolean Queries. Further, we provide ergonomic visualization of query results on interactive maps to facilitate the user’s data analysis. Second, due to the highly complex and dynamic nature of GIS systems, it is quite challenging for the end users to quickly understand and analyze the spatial data, and to efficiently share their own data and analysis results with others. Built on the TerraFly Geo spatial database, TerraFly GeoCloud is an extra layer running upon the TerraFly map and can efficiently support many different visualization functions and spatial data analysis models. Furthermore, users can create unique URLs to visualize and share the analysis results. TerraFly GeoCloud also enables the MapQL technology to customize map visualization using SQL-like statements [10]. Third, map systems often serve dynamic web workloads and involve multiple CPU and I/O intensive tiers, which make it challenging to meet the response time targets of map requests while using the resources efficiently. Virtualization facilitates the deployment of web map services and improves their resource utilization through encapsulation and consolidation. Autonomic resource management allows resources to be automatically provisioned to a map service and its internal tiers on demand. v-TerraFly are techniques to predict the demand of map workloads online and optimize resource allocations, considering both response time and data freshness as the QoS target. The proposed v-TerraFly system is prototyped on TerraFly, a production web map service, and evaluated using real TerraFly workloads. The results show that v-TerraFly can accurately predict the workload demands: 18.91% more accurate; and efficiently allocate resources to meet the QoS target: improves the QoS by 26.19% and saves resource usages by 20.83% compared to traditional peak load-based resource allocation.

Romanian Knowledge and Attitudes regarding Dietary Fibers

Presently, the scientists recognize the health benefits of food fibers in the menu and also plant food sources are at high interest both for general population and food companies. The food companies are responsible for a clear nutrition labelling that will assist consumers to make informed and healthy choices and health providers has to inform the population about the benefits of fibers.The aim of our study was to evaluate the Romanian knowledge and attitudes regarding dietary fibers from food products. We made a qualitative survey based on a questionnaire applied in 2015, over a period of 6 months, over 670 Romanian consumers. It was focused on testing the attitudes and knowledge towards ingestion of foods rich in fibers. For all data analysis we used the software SPSS, from IBM Inc. Our results showed that the knowledge about dietary fibers and also the ingestion of food products rich in fibers were low, and most of the subjects didn’t have any interest to read the nutritional information from food labels. The female participants ate more whole grains and fruits than males and pay more attention to food labelling. Romanian people prefer to stay and eat home than at restaurants especially in rural areas, and the knowledge about fibers benefits was significantly related to education and urban location. We underline the needs for more efficient community interventions and proper information about the importance of dietary fibers for our health and also to improve and disseminate nutritional standards and diet recommendation among population.

User interaction monitoring and analysis framework

An overview is given of a user interaction monitoring and analysis framework called BaranC. Monitoring and analysing human-digital interaction is an essential part of developing a user model as the basis for investigating user experience. The primary human-digital interaction, such as on a laptop or smartphone, is best understood and modelled in the wider context of the user and their environment. The BaranC framework provides monitoring and analysis capabilities that not only records all user interaction with a digital device (e.g. smartphone), but also collects all available context data (such as from sensors in the digital device itself, a fitness band or a smart appliances). The data collected by BaranC is recorded as a User Digital Imprint (UDI) which is, in effect, the user model and provides the basis for data analysis. BaranC provides functionality that is useful for user experience studies, user interface design evaluation, and providing user assistance services. An important concern for personal data is privacy, and the framework gives the user full control over the monitoring, storing and sharing of their data.

Data, Software, and Advanced Computational Usage of University of Washington Research Leaders

Scientific research is increasingly data-intensive, relying more and more upon advanced computational resources to be able to answer the questions most pressing to our society at large. This report presents findings from a brief descriptive survey sent to a sample of 342 leading researchers at the University of Washington (UW), Seattle, Washington in 2010 and 2011 as the first stage of the larger National Science Foundation project “Interacting with Cyberinfrastructure in the Face of Changing Science.” This survey assesses these researcher’s use of advanced computational resources, data, and software in their research. We present high-level findings that describe UW researchers’: demographics, interdisciplinarity, research groups, data use, software and computational use—including software development and use, data storage and transfer activities, and collaboration tools, and computing resources. These findings offer insights into the state of computational resources in use during this time period as well as offering a look at the data intensiveness of UW researchers.

Apprendre à être un Leader dans un Programme de Leadership: Perceptions, Éxpérience Préalable en Leadership et Sexe de l’Étudiant

The purpose of this study was to examine whether leadership can be learned through the Community Recreation and Leadership Training (CRLT) program and how effective the program is in terms of changing the perceptions and abilities of the students. The intentions of the researcher were to discover crucial learning moments as perceived by students and to gain insights that could lead to future improvements to enhance and enrich learning in a leadership program. To continue to be a viable program and to keep step with the demands of the recreation/leisure industry and society's wide-ranging needs, this study may help to inform the program's 'action plan' for continued success. This study employed a mixed method approach to determine how college students develop effective leadership ability in a three-year Community Recreation and Leadership Training (CRLT) college career program. First, a number of statistical tests were carried out to examine the four research questions used to guide the study. The SPSS software was used to analyze the data collected. The first research question asked how perceptions of leadership change as a result of being in a three-year leadership program. This study, using the Student Leadership Practice Inventory (SLPI), compared the five SLPI leadership dimensions by year. The SLPI was administered to all the first, second, and third year CRLT students ( N = 84). A one-way analysis of variance in participants' scores was conducted. No significant differences were revealed in any of the five dimensions of the SLPI among the first, second, and third year students at p < .05. However, two dimensions (model and encourage) approached significance and may hint at a possible influence the program is having on its students as they progress into the third year. The second research question asked whether perceptions of leadership vary by gender. Comparing the mean scores between the males and females on the five dimensions of the SLPI, no significant differences were found. The third research question asked whether prior leadership experience results in better academic performance for CRLT students in their 1st term. A one-way analysis of variance was conducted to evaluate the relationship between prior leadership experience and mean scores on academic performance. No significant correlations were found between grades and low, medium, or high levels of prior leadership experience F(2,79) = 2.67, p = .08. A correlation coefficient was also computed to determine whether there was a relationship between the Recreation Leadership I course grade and prior leadership experience. The correlation coefficient (.02) was statistically significant, r(80) = .24, p < .05. However, further studies with a larger sample size would be necessary to help determine this. The fourth question asked whether there was a correlation between students' first semester grades and their scores on the Student Leadership Practice Inventory (SLPI). Bivariate correlations (Pearson) were computed for the five SLPI dimensions with academic performance. None of the correlations using the five SLPI indicators was significant. Qualitative data was examined to discover what factors and experiences help students to assert a more effective leadership role. The study relied on content analysis of personal statements, and focus groups. Student perceptions of an effective leader, students' perceptions of their own abilities, and the strengths of the program were explored. A content analysis of the 'Personal Statements' was carried out to determine how students defined leadership prior to their having had any formal teaching in a college program. The result of the analysis of personal statements provided eight leadership categories used as an initial baseline for the study. Six focus groups (totaling N = 30) were conducted. Students responded to four key questions: how they define leadership. What is the single most effective quality of a leader? What leadership skills did they feel they had gained? How had the program helped them obtain their skills? Students credited the CRLT program with helping them develop a variety of leadership skills. Students revealed that they had gained skills such as confidence, knowledge and understanding of people's needs, and becoming more self-directed. They attributed their skill development to such things as good course design, intensive outdoor education and fieldwork courses, "hands on" learning approaches, group work, skill practice, the support they received from teachers, and encouragement they were given by their peers. A common finding among genders was defining an effective leader as someone who is "confident". However, the definition of the most important quality of a leader varied by gender. While males showed a tendency to prefer a leader being "confident," females preferred a leader being a "teacher".

A spatial data warehouse to predict lithic sources of tombs from South of Portugal: mixing geochemistry, petrology, cartography and archaeology in spatial analysis

MEGAGEO - Moving megaliths in the Neolithic is a project that intends to find the provenience of lithic materials in the construction of tombs. A multidisciplinary approach is carried out, with researchers from several of the knowledge fields involved. This work presents a spatial data warehouse specially developed for this project that comprises information from national archaeological databases, geographic and geological information and new geochemical and petrographic data obtained during the project. The use of the spatial data warehouse proved to be essential in the data analysis phase of the project. The Redondo Area is presented as a case study for the application of the spatial data warehouse to analyze the relations between geochemistry, geology and the tombs in this area.

An investigation into the barriers to the implementation of automation and robotics technologies in the construction industry

The rising problems associated with construction such as decreasing quality and productivity, labour shortages, occupational safety, and inferior working conditions have opened the possibility of more revolutionary solutions within the industry. One prospective option is in the implementation of innovative technologies such as automation and robotics, which has the potential to improve the industry in terms of productivity, safety and quality. The construction work site could, theoretically, be contained in a safer environment, with more efficient execution of the work, greater consistency of the outcome and higher level of control over the production process. By identifying the barriers to construction automation and robotics implementation in construction, and investigating ways in which to overcome them, contributions could be made in terms of better understanding and facilitating, where relevant, greater use of these technologies in the construction industry so as to promote its efficiency. This research aims to ascertain and explain the barriers to construction automation and robotics implementation by exploring and establishing the relationship between characteristics of the construction industry and attributes of existing construction automation and robotics technologies to level of usage and implementation in three selected countries; Japan, Australia and Malaysia. These three countries were chosen as their construction industry characteristics provide contrast in terms of culture, gross domestic product, technology application, organisational structure and labour policies. This research uses a mixed method approach of gathering data, both quantitative and qualitative, by employing a questionnaire survey and an interview schedule; using a wide range of sample from management through to on-site users, working in a range of small (less than AUD0.2million) to large companies (more than AUD500million), and involved in a broad range of business types and construction sectors. Detailed quantitative (statistical) and qualitative (content) data analysis is performed to provide a set of descriptions, relationships, and differences. The statistical tests selected for use include cross-tabulations, bivariate and multivariate analysis for investigating possible relationships between variables; and Kruskal-Wallis and Mann Whitney U test of independent samples for hypothesis testing and inferring the research sample to the construction industry population. Findings and conclusions arising from the research work which include the ranking schemes produced for four key areas of, the construction attributes on level of usage; barrier variables; differing levels of usage between countries; and future trends, have established a number of potential areas that could impact the level of implementation both globally and for individual countries.

Case studies on vibration based damage identification : multi-criteria approach

Vibration based damage identification methods examine the changes in primary modal parameters or quantities derived from modal parameters. As one method may have advantages over the other under some circumstances, a multi-criteria approach is proposed. Case studies are conducted separately on beam, plate and plate-on-beam structures. Using the numerically simulated modal data obtained through finite element analysis software, algorithms based on flexibility and strain energy changes before and after damage are obtained and used as the indices for the assessment of the state of structural health. Results show that the proposed multi-criteria method is effective in damage identification in these structures.

Damage assessment in multiple-girder composite bridge using vibration characteristics

This paper uses dynamic computer simulation techniques to apply a procedure using vibration-based methods for damage assessment in multiple-girder composite bridge. In addition to changes in natural frequencies, this multi-criteria procedure incorporates two methods, namely the modal flexibility and the modal strain energy method. Using the numerically simulated modal data obtained through finite element analysis software, algorithms based on modal flexibility and modal strain energy change before and after damage are obtained and used as the indices for the assessment of structural health state. The feasibility and capability of the approach is demonstrated through numerical studies of proposed structure with six damage scenarios. It is concluded that the modal strain energy method is competent for application on multiple-girder composite bridge, as evidenced through the example treated in this paper.

Terminally ill cancer patients’ wish to hasten death

This exploratory study investigated factors associated with the wish to hasten death among a sample of terminally ill cancer patients. Semi-structured interviews conducted on a total of 72 hospice and home palliative care patients were subjected to qualitative analysis using QSRNUDIST. The main themes to emerge suggested that patients with a high wish to hasten death had greater concerns with physical symptoms and psychologica l suffering, perceived themselves to be more of a burden to others, and experienced higher levels of demoralization, while also reporting less confidence in symptom control, fewer social supports, less satisfaction with life experiences and fewer religious beliefs when compared with patients who had a moderate or no wish to hasten death. The implications of these findings will be discussed.

Maintaining ERP packaged software : a revelatory case study

For many organizations, maintaining and upgrading enterprise resource planning (ERP) systems (large packaged application software) is often far more costly than the initial implementation. Systematic planning and knowledge of the fundamental maintenance processes and maintenance-related management data are required in order to effectively and efficiently administer maintenance activities. This paper reports a revelatory case study of Government Services Provider (GSP), a high-performing ERP service provider to government agencies in Australia. GSP ERP maintenance-process and maintenance-data standards are compared with the IEEE/EIA 12207 software engineering standard for custom software, also drawing upon published research, to identify how practices in the ERP context diverge from the IEEE standard. While the results show that many best practices reflected in the IEEE standard have broad relevance to software generally, divergent practices in the ERP context necessitate a shift in management focus, additional responsibilities, and different maintenance decision criteria. Study findings may provide useful guidance to practitioners, as well as input to the IEEE and other related standards.