Agro-Ecological Zoning for Tall Wheatgrass (Thinopyrum Ponticum) as a Potential Energy and Forage Crop in Salt-Affected and Dry Lands of Argentina

Thinopyrum ponticum, is the most disseminated halophyte speciescultivated for forage on hydro-halomorphic soils in the world. Theobjective of the present work was to identify the geographicareas fordevelopment of tall wheatgrass on halomorphic soils in Argentina, for forageand as feedstock for bioenergy. To define the agroclimate in Argentina, we considered the thermal and hydric limits of the species in its place of originand in locations where it is successfully cultivated around the world. The maps corresponding to the bioclimatic indices were drawn using a GIS, andthe map obtained by overlaying them defined the agroclimatic suitability. Thiszoning was finally superimposed on the drylands saline and alkaline soils inthecountry, thus defining the agro-ecological suitability of Argentina forthis species under different moisture regimes: moist-subhumid,dry-subhumid, semiarid to arid climate. The the agro-ecological zoning showsthe potential growing areas for tall wheatgrass in Argentina on soils withhalomorphism processes under dry climates.Fil: Falasca, Silvia Liliana. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Miranda del Fresno, Ma. Carolina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Humanas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pitta-alvarez, Sandra Irene. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Micología y Botánica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Micología y Botánica; Argentin

Fitness-to-Drive Screening Measure©: Patterns and Trends for Canadian Users

Background: The Fitness-to-Drive Screening Measure© (FTDS) is an online screening tool that enables proxy raters (caregivers, family members, and friends) to identify at-risk older adult drivers via 54 driving-related items. This study aimed to identify areas in need of improvement for the FTDS by identifying the patterns and trends of Canadian users and providing recommendations to increase the usage, reach, and potential impact of the FTDS as a health promotion tool. Methods: We used monthly Google Analytics reports to calculate descriptive statistics for web page and session specific variables. Variables were separated into Year 1 and Year 2 and were compared using the independent sample t-test. Results: Patterns were identified for session and web page specific variables; for example, users spent less than the recommended 20 min to complete the FTDS. There was only a significant decrease in the number of French speaking users (t (22) = .01, p \u3c .05) from Year 1 to Year 2. Conclusion: Canadians across the country are able to easily access and use the FTDS for screening older adult drivers in its current format. However, implementing suggested recommendations (e.g., short form FTDS) may increase the overall usage, utility, and/or reach of the FTDS, and, as such, may yield additional benefits to potential users

Influence of the nursing practice environment on job performance

Background: evidence-based clinical practice places nurses within a professional discipline that provides the foundation for interventions to be original, innovative and individualized.Aim: to analyze the relationship between the nursing practice environment and job performance.Methods: An observational, retrospective cross-sectional study was designed, taking as study sample 53 staff nurses in the year 2022 in a public health facility in the Autonomous City of Buenos Aires.Results: When correlating the dimensions of the evidence-based nursing practice environment with the global work performance indicator, a statistically significant correlation was found with the capacity, leadership and support to nurses by nurse managers (rho=0.354; P=0.0092). On the other hand, correlations with the dimensions nurse involvement in facility issues (rho=-0.144; P=0.3038), nurse rationale for quality of care (rho=0.149; P=0.2874), staffing size and adequacy of human resources (rho=0.149; P=0.2874), and physician-nurse relationships (rho=0.150; P=0.2841) were not significant.Conclusions: This study provided evidence that nurses' perceptions of their practice environment were favorable, except for adequacy of staffing and resources. Nurses' job performance levels were found to be affected by nursing managers' ability, leadership and support of nurses

Towards measuring the complexity of introducing semantics into a company

The Semantics Difficulty Model (SDM) is a model that measures the difficult of introducing semantics technology into a company. SDM manages three descriptions of stages, which we will refer to as ?snapshots?: a company semantic snapshot, data snapshot and semantic application snapshot. Understanding a priory the complexity of introducing semantics into a company is important because it allows the organization to take early decisions, thus saving time and money, mitigating risks and improving innovation, time to market and productivity. SDM works by measuring the distance between each initial snapshot and its reference models (the company semantic snapshots reference model, data snapshots reference model, and the semantic application snapshots reference model) with Euclidian distances. The difficulty level will be "not at all difficult" when the distance is small, and becomes "extremely difficult" when the the distance is large. SDM has been tested experimentally with 2000 simulated companies with arrangements and several initial stages. The output is measured by five linguistic values: "not at all difficult, slightly difficult, averagely difficult, very difficult and extremely difficult". As the preliminary results of our SDM simulation model indicate, transforming a search application into integrated data from different sources with semantics is a "slightly difficult", in contrast with data and opinion extraction applications for which it is "very difficult"

Is the polarity of content producers strongly influenced by the results of the event?

This paper presents an approach to compare two types of data, subjective data (Polarity of Pan American Games 2011 event by country) and objective data (the number of medals won by each participating country), based on the Pearson corre- lation. When dealing with events described by people, knowledge acquisition is difficult because their structure is heterogeneous and subjective. A first step towards knowing the polarity of the information provided by people consists in automatically classifying the posts into clusters according to their polarity. The authors carried out a set of experiments using a corpus that consists of 5600 posts extracted from 168 Internet resources related to a specific event: the 2011 Pan American games. The approach is based on four components: a crawler, a filter, a synthesizer and a polarity analyzer. The PanAmerican approach automatically classifies the polarity of the event into clusters with the following results: 588 positive, 336 neutral, and 76 negative. Our work found out that the polarity of the content produced was strongly influenced by the results of the event with a correlation of .74. Thus, it is possible to conclude that the polarity of content is strongly affected by the results of the event. Finally, the accuracy of the PanAmerican approach is: .87, .90, and .80 according to the precision of the three classes of polarity evaluated

The unified sentiment lexicon using GPUs

This approach aims at aligning, unifying and expanding the set of sentiment lexicons which are available on the web in order to increase their robustness of coverage. A sentiment lexicon is a critical and essential resource for tagging subjective corpora on the web or elsewhere. In many situations, the multilingual property of the sentiment lexicon is important because the writer is using two languages alternately in the same text, message or post. Our USL approach computes the unified strength of polarity of each lexical entry based on the Pearson correlation coefficient which measures how correlated lexical entries are with a value between 1 and -1, where 1 indicates that the lexical entries are perfectly correlated, 0 indicates no correlation, and -1 means they are perfectly inversely correlated and the UnifiedMetrics procedure for CPU and GPU, respectively

Investigación psicoanalítica de los deseos y las defensas en pacientes psicosomáticos crónicos con diferente evolución clínica

El objetivo central de la investigación consiste en analizar el discurso de pacientes que padecen asma y psoriasis y que desarrollan respuestas disímiles en relación a su tratamiento médico.En el trabajo se  exponen los conceptos fundamentales que constituyen el marco teórico: desvalimiento psíquico, erotismo intrasomático, eficacia del trauma primario en las afecciones tóxicas, características del sistema percepción-conciencia, particularidades del tipo de vincularidad, fundamentos de la constitución del preconciente y su relación con la palabra, en pacientes psicosomáticos.   El instrumento elegido para el análisis de las verbalizaciones es el algoritmo David Liberman (ADL) en sus tres niveles: relato, acto del habla y palabra. La muestra está constituida por la respuesta dada a la lámina blanca del TRO (Test de Relaciones Objetales. Phillipson) por doce pacientes: seis con psoriasis y seis con asma.Respecto a las conclusiones, seis de los pacientes que tenían controlados sus síntomas con el tratamiento médico habían logrado armar un relato, como requiere la consigna del test administrado.Los seis pacientes restantes no lograron construir una historia revelando así un déficit en la capacidad de simbolización. En cambio y de forma directa o enmascarada, se encontró la respuesta denominada: impacto al blanco. Esta manifestación pone de manifiesto una alteración del sistema percepción-conciencia por la cual el estímulo visual aparece como un efecto de deslumbramiento que enceguece la posibilidad de apelar a los elementos simbólicos, representacionales, que podrían ser utilizados para dar figurabilidad a los procesos internos. Esta perturbación de la percepción es posible atribuirla a un estado de retracción y estancamiento de la libido  intrasomática.En el terreno metodológico se detectó que el análisis de los actos del habla es el  instrumento del ADL más indicado  para diferenciar a los pacientes según la respuesta que tienen ante el tratamiento médico.Finalmente, quedó expuesta la necesidad de revisar una hipótesis derivada del estudio, acerca de  una particular combinatoria entre los deseos que participan en la construcción de aquellos actos del habla que dan lugar, bien a un discurso catártico o a uno inconsistente

Towards a unified sentiment lexicon based on graphics processing units

This paper presents an approach to create what we have called a Unified Sentiment Lexicon (USL). This approach aims at aligning, unifying, and expanding the set of sentiment lexicons which are available on the web in order to increase their robustness of coverage. One problem related to the task of the automatic unification of different scores of sentiment lexicons is that there are multiple lexical entries for which the classification of positive, negative, or neutral {P, Z, N} depends on the unit of measurement used in the annotation methodology of the source sentiment lexicon. Our USL approach computes the unified strength of polarity of each lexical entry based on the Pearson correlation coefficient which measures how correlated lexical entries are with a value between 1 and -1, where 1 indicates that the lexical entries are perfectly correlated, 0 indicates no correlation, and -1 means they are perfectly inversely correlated and so is the UnifiedMetrics procedure for CPU and GPU, respectively. Another problem is the high processing time required for computing all the lexical entries in the unification task. Thus, the USL approach computes a subset of lexical entries in each of the 1344 GPU cores and uses parallel processing in order to unify 155802 lexical entries. The results of the analysis conducted using the USL approach show that the USL has 95.430 lexical entries, out of which there are 35.201 considered to be positive, 22.029 negative, and 38.200 neutral. Finally, the runtime was 10 minutes for 95.430 lexical entries; this allows a reduction of the time computing for the UnifiedMetrics by 3 times

Características de leishmaniasis cutánea en una población de Iquitos: 2012 - 2015

Describe las características demográficas, clínicas y epidemiológicas de la población afectada por Leishmaniasis cutánea durante el 2012 al 2015 en una población de Iquitos. Además, identifica la especie de Leishmania más común en la población estudiada mediante kDNA y RT PCR.Tesi

Características de leishmaniasis cutánea en una población de Iquitos: 2012 - 2015

Describe las características demográficas, clínicas y epidemiológicas de la población afectada por Leishmaniasis cutánea durante el 2012 al 2015 en una población de Iquitos. Además, identifica la especie de Leishmania más común en la población estudiada mediante kDNA y RT PCR.Tesi