757 resultados para Individual-level effects
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El objetivo fue evaluar la intervención de las alertas en la prescripción de diclofenaco. Estudio observacional, comparativo, post intervención, de un antes después, en pacientes con prescripción de diclofenaco. Se evaluó la intervención de las alertas restrictivas antes y después de su implementación en los pacientes prescritos con diclofenaco y que tenían asociado un diagnóstico de riesgo cardiovascular según CIE 10 o eran mayores de 65 años. Un total de 315.135 transacciones con prescripción de diclofenaco, en 49.355 pacientes promedio mes. El 94,8% (298.674) de las transacciones fueron prescritas por médicos generales.
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El objetivo del presente trabajo es formular, mediante una profunda revisión documental, bibliográfica y empírica, una fundamentación teórica sobre si existe o no incidencia de las prácticas de recursos humanos sobre el bienestar laboral de los empleados, y el que grado en que esta se presenta sobre aspecto como el engagement y la satisfacción laboral. Se realizó la revisión de múltiples estudios empíricos que aportaran evidencia sobre la relación que se presenta entre las principales prácticas de recursos humanos – provisión de personal, formación y desarrollo, promoción de personal, evaluación de desempeño, compensación y pago, y balance trabajo-familia – y el bienestar laboral, representado en el engagement y satisfacción en el trabajo de los empleados. Los resultados de este trabajo indican la existencia de una relación e incidencia de las prácticas de recursos humanos, el bienestar laboral, el engagement y la satisfacción laboral. De igual forma se encontró que estas relaciones son principalmente de carácter positivo, lo cual indica que las organizaciones que desarrollan este tipo de prácticas en su interior, fomentan tanto el desarrollo y la presencia de bienestar laboral en sus empleados, como su perdurabilidad.
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Contenido Introducción 1. Inteligencia emocional, liderazgo transformacional y género: factores que influencian el desempeño organizacional / Ana María Galindo Londoño, Sara Urrego Mayorga; Director: Juan Carlos Espinosa Méndez. 2. El rol de la mujer en el liderazgo / Andrea Patricia Cuestas Díaz; Directora: Francoise Venezia Contreras Torres. 3. Liderazgo transformacional, clima organizacional, satisfacción laboral y desempeño. Una revisión de la literatura / Juliana Restrepo Orozco, Ángela Marcela Ochoa Rodríguez; Directora: Françoise Venezia Contreras Torres. 4. “E-Leadership” una perspectiva al mundo de las compañías globalizadas / Ángela Beatriz Morales Morales, Mónica Natalia Aguilera Velandia; Director: Juan Carlos Espinosa. 5. Liderazgo y cultura. Una revisión / Daniel Alejandro Romero Galindo; Directora: Francoise Venezia Contreras Torres. 6. La investigación sobre la naturaleza del trabajo directivo: una revisión de la literatura / Julián Felipe Rodríguez Rivera, María Isabel Álvarez Rodríguez; Director: Juan Javier Saavedra Mayorga. 7. La mujer en la alta dirección en el contexto colombiano / Ana María Moreno, Juliana Moreno Jaramillo ; Directora: Françoise Venezia Contreras Torres. 8. Influencia de la personalidad en el discurso y liderazgo de George W. Bush después del 11 de septiembre de 2011 / Karen Eliana Mesa Torres; Director: Juan Carlos Espinosa. 9. La investigación sobre el campo del followership: una revisión de la literatura / Christian D. Báez Millán, Leidy J. Pinzón Porras; Director: Juan Javier Saavedra Mayorga. 10. El liderazgo desde la perspectiva del poder y la influencia. Una revisión de la literatura / Lina María García, Juan Sebastián Naranjo; Director: Juan Javier Saavedra Mayorga. 11. El trabajo directivo para líderes y gerentes: una visión integradora de los roles organizacionales / Lina Marcela Escobar Campos, Daniel Mora Barrero; Director: Rafael Piñeros. 12. Participación emocional en la toma de decisiones / Lina Rocío Poveda C., Gloria Johanna Rueda L.; Directora: Francoise Contreras T. 13. Estrés y su relación con el liderazgo / María Camila García Sierra, Diana Paola Rocha Cárdenas; Director: Juan Carlos Espinosa. 14. “Burnout y engagement” / María Paola Jaramillo Barrios, Natalia Rojas Mancipe; Director: Rafael Piñeros.
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Variations in demographic rates due to differential resource allocation between individuals are important considerations in the development of accurate population dynamic models. Systematic harvesting can alter age structure and/or reduce population density, conferring indirect positive benefits on the source population as a result of a consequent redistribution of resources between the remaining individuals. Independently of effects mediated through changes in density and competition, demographic rates can also be influenced by within-individual competition for resources. Harvesting dependent life stages can reduce an individual's current reproductive costs, allowing increased investment in its future fecundity and survival. Although such changes in demographic rates are well known, there has been little exploration of the potential impact on population dynamics. We use empirical data collected from a successfully reintroduced population of the Mauritius kestrel Falco punctatus to explore the population consequences of manipulating reproductive effort through harvesting. Consequent increases in an individual's future fecundity and survival allow source populations to withstand longer and more intensive harvesting regimes without being exposed to an increase in extinction risk, increasing maximum sustainable yields. These effects may also buffer populations against the impacts of stochastic events, but directional shifts in environmental conditions that increase reproductive costs may have detrimental population-level effects.
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Business and IT alignment is increasingly acknowledged as a key for organisational performance. However, alignment research lack to mechanisms that enable for on-going process with multi-level effects. Multi-level learning allows on-going effectiveness through development of the organisation and improved quality of business and IT strategies. In particular, exploration and exploitation enable effective process of alignment across dynamic multi-level of learning. Hence, this paper proposes a conceptual framework that links multi-level learning and business-IT strategy through the concept of exploration and exploitation, which considers short-term and long-term alignment together to address the challenges of strategic alignment faced in sustaining organisational performance.
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The three decades of on-going executives’ concerns of how to achieve successful alignment between business and information technology shows the complexity of such a vital process. Most of the challenges of alignment are related to knowledge and organisational change and several researchers have introduced a number of mechanisms to address some of these challenges. However, these mechanisms pay less attention to multi-level effects, which results in a limited un-derstanding of alignment across levels. Therefore, we reviewed these challenges from a multi-level learning perspective and found that business and IT alignment is related to the balance of exploitation and exploration strategies with the intellec-tual content of individual, group and organisational levels.
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The human mirror neuron system (hMNS) has been associated with various forms of social cognition and affective processing including vicarious experience. It has also been proposed that a faulty hMNS may underlie some of the deficits seen in the autism spectrum disorders (ASDs). In the present study we set out to investigate whether emotional facial expressions could modulate a putative EEG index of hMNS activation (mu suppression) and if so, would this differ according to the individual level of autistic traits [high versus low Autism Spectrum Quotient (AQ) score]. Participants were presented with 3 s films of actors opening and closing their hands (classic hMNS mu-suppression protocol) while simultaneously wearing happy, angry, or neutral expressions. Mu-suppression was measured in the alpha and low beta bands. The low AQ group displayed greater low beta event-related desynchronization (ERD) to both angry and neutral expressions. The high AQ group displayed greater low beta ERD to angry than to happy expressions. There was also significantly more low beta ERD to happy faces for the low than for the high AQ group. In conclusion, an interesting interaction between AQ group and emotional expression revealed that hMNS activation can be modulated by emotional facial expressions and that this is differentiated according to individual differences in the level of autistic traits. The EEG index of hMNS activation (mu suppression) seems to be a sensitive measure of the variability in facial processing in typically developing individuals with high and low self-reported traits of autism.
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Emotional reactivity and the time taken to recover, particularly from negative, stressful, events, are inextricably linked, and both are crucial for maintaining well-being. It is unclear, however, to what extent emotional reactivity during stimulus onset predicts the time course of recovery after stimulus offset. To address this question, 25 participants viewed arousing (negative and positive) and neutral pictures from the International Affective Picture System (IAPS) followed by task-relevant face targets, which were to be gender categorized. Faces were presented early (400–1500 ms) or late (2400–3500 ms) after picture offset to capture the time course of recovery from emotional stimuli. Measures of reaction time (RT), as well as face-locked N170 and P3 components were taken as indicators of the impact of lingering emotion on attentional facilitation or interference. Electrophysiological effects revealed negative and positive images to facilitate face-target processing on the P3 component, regardless of temporal interval. At the individual level, increased reactivity to: (1) negative pictures, quantified as the IAPS picture-locked Late Positive Potential (LPP), predicted larger attentional interference on the face-locked P3 component to faces presented in the late time window after picture offset. (2) Positive pictures, denoted by the LPP, predicted larger facilitation on the face-locked P3 component to faces presented in the earlier time window after picture offset. These results suggest that subsequent processing is still impacted up to 3500 ms after the offset of negative pictures and 1500 ms after the offset of positive pictures for individuals reacting more strongly to these pictures, respectively. Such findings emphasize the importance of individual differences in reactivity when predicting the temporality of emotional recovery. The current experimental model provides a novel basis for future research aiming to identify profiles of adaptive and maladaptive recovery.
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Earthworms are significant ecosystem engineers and are an important component of the diet of many vertebrates and invertebrates, so the ability to predict their distribution and abundance would have wide application in ecology, conservation and land management. Earthworm viability is known to be affected by the availability and quality of food resources, soil water conditions and temperature, but has not yet been modelled mechanistically to link effects on individuals to field population responses. Here we present a novel model capable of predicting the effects of land management and environmental conditions on the distribution and abundance of Aporrectodea caliginosa, the dominant earthworm species in agroecosystems. Our process-based approach uses individual based modelling (IBM), in which each individual has its own energy budget. Individual earthworm energy budgets follow established principles of physiological ecology and are parameterised for A. caliginosa from experimental measurements under optimal conditions. Under suboptimal conditions (e.g. food limitation, low soil temperatures and water contents) reproduction is prioritised over growth. Good model agreement to independent laboratory data on individual cocoon production and growth of body mass, under variable feeding and temperature conditions support our representation of A. caliginosa physiology through energy budgets. Our mechanistic model is able to accurately predict A. caliginosa distribution and abundance in spatially heterogeneous soil profiles representative of field study conditions. Essential here is the explicit modelling of earthworm behaviour in the soil profile. Local earthworm movement responds to a trade-off between food availability and soil water conditions, and this determines the spatiotemporal distribution of the population in the soil profile. Importantly, multiple environmental variables can be manipulated simultaneously in the model to explore earthworm population exposure and effects to combinations of stressors. Potential applications include prediction of the population-level effects of pesticides and changes in soil management e.g. conservation tillage and climate change.
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Payments for ecosystem services (PES) typically reward landowners for managing their land to provide ecosystem services that would not otherwise be provided. REDD—Reduced Emissions from Deforestation and Forest Degradation—is a form of PES aimed at decreasing carbon emissions from forest conversion and extraction in lower-income countries. A key challenge for REDD occurs when it is implemented at the community rather than the individual landowner level. Whilst achieving this community-level reduction relies on individuals changing their interaction with the forest, incentives are not aligned explicitly at the individual level. Rather, payments are made to the community as a single entity in exchange for verified reduced forest loss, as per a PES scheme. In this paper, we explore how community level REDD has been implemented in one multiple-village pilot in Tanzania. Our findings suggest that considerable attention has been paid to monitoring, reporting, verification, and equity. Though no explicit mechanism ensures individual compliance with the group PES, the development of village level institutions, “social fencing,” and a shared future through equal REDD payments factor into community decisions that influence the level of community compliance that the program will eventually achieve. However, few villages allocate funds for explicit enforcement efforts to protect the forest from illegal activities undertaken by outsiders.
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P>1. Much of the current understanding of ecological systems is based on theory that does not explicitly take into account individual variation within natural populations. However, individuals may show substantial variation in resource use. This variation in turn may be translated into topological properties of networks that depict interactions among individuals and the food resources they consume (individual-resource networks). 2. Different models derived from optimal diet theory (ODT) predict highly distinct patterns of trophic interactions at the individual level that should translate into distinct network topologies. As a consequence, individual-resource networks can be useful tools in revealing the incidence of different patterns of resource use by individuals and suggesting their mechanistic basis. 3. In the present study, using data from several dietary studies, we assembled individual-resource networks of 10 vertebrate species, previously reported to show interindividual diet variation, and used a network-based approach to investigate their structure. 4. We found significant nestedness, but no modularity, in all empirical networks, indicating that (i) these populations are composed of both opportunistic and selective individuals and (ii) the diets of the latter are ordered as predictable subsets of the diets of the more opportunistic individuals. 5. Nested patterns are a common feature of species networks, and our results extend its generality to trophic interactions at the individual level. This pattern is consistent with a recently proposed ODT model, in which individuals show similar rank preferences but differ in their acceptance rate for alternative resources. Our findings therefore suggest a common mechanism underlying interindividual variation in resource use in disparate taxa.
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Objective: To investigate whether advanced visualizations of spirography-based objective measures are useful in differentiating drug-related motor dysfunctions between Off and dyskinesia in Parkinson’s disease (PD). Background: During the course of a 3 year longitudinal clinical study, in total 65 patients (43 males and 22 females with mean age of 65) with advanced PD and 10 healthy elderly (HE) subjects (5 males and 5 females with mean age of 61) were assessed. Both patients and HE subjects performed repeated and time-stamped assessments of their objective health indicators using a test battery implemented on a telemetry touch screen handheld computer, in their home environment settings. Among other tasks, the subjects were asked to trace a pre-drawn Archimedes spiral using the dominant hand and repeat the test three times per test occasion. Methods: A web-based framework was developed to enable a visual exploration of relevant spirography-based kinematic features by clinicians so they can in turn evaluate the motor states of the patients i.e. Off and dyskinesia. The system uses different visualization techniques such as time series plots, animation, and interaction and organizes them into different views to aid clinicians in measuring spatial and time-dependent irregularities that could be associated with the motor states. Along with the animation view, the system displays two time series plots for representing drawing speed (blue line) and displacement from ideal trajectory (orange line). The views are coordinated and linked i.e. user interactions in one of the views will be reflected in other views. For instance, when the user points in one of the pixels in the spiral view, the circle size of the underlying pixel increases and a vertical line appears in the time series views to depict the corresponding position. In addition, in order to enable clinicians to observe erratic movements more clearly and thus improve the detection of irregularities, the system displays a color-map which gives an idea of the longevity of the spirography task. Figure 2 shows single randomly selected spirals drawn by a: A) patient who experienced dyskinesias, B) HE subject, and C) patient in Off state. Results: According to a domain expert (DN), the spirals drawn in the Off and dyskinesia motor states are characterized by different spatial and time features. For instance, the spiral shown in Fig. 2A was drawn by a patient who showed symptoms of dyskinesia; the drawing speed was relatively high (cf. blue-colored time series plot and the short timestamp scale in the x axis) and the spatial displacement was high (cf. orange-colored time series plot) associated with smooth deviations as a result of uncontrollable movements. The patient also exhibited low amount of hesitation which could be reflected both in the animation of the spiral as well as time series plots. In contrast, the patient who was in the Off state exhibited different kinematic features, as shown in Fig. 2C. In the case of spirals drawn by a HE subject, there was a great precision during the drawing process as well as unchanging levels of time-dependent features over the test trial, as seen in Fig. 2B. Conclusions: Visualizing spirography-based objective measures enables identification of trends and patterns of drug-related motor dysfunctions at the patient’s individual level. Dynamic access of visualized motor tests may be useful during the evaluation of drug-related complications such as under- and over-medications, providing decision support to clinicians during evaluation of treatment effects as well as improve the quality of life of patients and their caregivers. In future, we plan to evaluate the proposed approach by assessing within- and between-clinician variability in ratings in order to determine its actual usefulness and then use these ratings as target outcomes in supervised machine learning, similarly as it was previously done in the study performed by Memedi et al. (2013).
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Bounds on the distribution function of the sum of two random variables with known marginal distributions obtained by Makarov (1981) can be used to bound the cumulative distribution function (c.d.f.) of individual treatment effects. Identification of the distribution of individual treatment effects is important for policy purposes if we are interested in functionals of that distribution, such as the proportion of individuals who gain from the treatment and the expected gain from the treatment for these individuals. Makarov bounds on the c.d.f. of the individual treatment effect distribution are pointwise sharp, i.e. they cannot be improved in any single point of the distribution. We show that the Makarov bounds are not uniformly sharp. Specifically, we show that the Makarov bounds on the region that contains the c.d.f. of the treatment effect distribution in two (or more) points can be improved, and we derive the smallest set for the c.d.f. of the treatment effect distribution in two (or more) points. An implication is that the Makarov bounds on a functional of the c.d.f. of the individual treatment effect distribution are not best possible.
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Usando a abordagem de competitive search, modelo um mercado de trabalho com trabalhadores heterogêneos no qual há um problema de risco moral na relação entre firmas e trabalhadores. Nesse contexto, consigo prever como contratos reagem a mudanças nos parâmetros do mercado (em particular, o risco de produção), assim como a variação da probabilidade dos trabalhadores serem contratados. Minha contribuição principal é ver que, no nível individual, existe uma relação negativa entre risco e incentivos, mas efeitos de equilíbrio geral implicam que essa relação pode ser positiva no nível agregado. Esse resultado ajuda a esclarecer resultados empíricos contraditórios sobre a relação entre risco e incentivos.
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Essa tese é composta por três artigos na área de Economia da Educação que buscam investigar a questão do ensino médio técnico no Brasil. O primeiro e segundo artigos se inserem na literatura de avaliação de impacto dos tipos de ensino médio realizado, o de formação geral ou técnica, sobre os resultados do mercado de trabalho. Esse é um tema cada vez mais explorado em estudos empíricos internacionais, mas que ainda merece atenção dos pesquisadores no Brasil, seja para preencher lacunas no que se refere à identificação do efeito causal dessa política, seja porque o ensino técnico profissionalizante tenha se tornado alvo de maiores investimentos públicos nos últimos anos. Dessa forma, os dois artigos têm o propósito de estimar o efeito causal das habilidades técnicas adquiridas nos cursos técnicos de nível médio sobre os salários dos trabalhadores, no entanto se diferem pela fonte de dados utilizada. No primeiro artigo são utilizados os dados da Pesquisa Nacional por Amostra de Domicílios (IBGE) de 2007 e nossa contribuição está na estratégia de identificação do efeito causal, ao resolver o problema de auto seleção com o método de duplas diferenças (DD). Diversos testes de robustez foram realizados para dar suporte ao impacto positivo e estatisticamente significante que encontramos das habilidades técnicas sobre os salários, embora este seja restrito ao subgrupo de trabalhadores com no máximo o ensino médio completo. No segundo artigo foram utilizadas duas fontes de dados ainda não exploradas para esse fim, os microdados do ENEM (Exame Nacional do Ensino Médio) entre os anos de 2004 e 2006 e os dados da RAIS (Relação Anual de Informações Sociais) de 2009 a 2012 identificados por indivíduo (CPF). Por ser possível observar as notas dos jovens ao final do ensino médio, conseguimos separar os impactos do ensino médio técnico nos salários relacionados às habilidades técnicas específicas obtidas nos cursos técnicos, daqueles relacionados às habilidades gerais dos indivíduos (cognitivas ou não). Implementamos a estratégia de duplas diferenças e mais uma vez encontramos impacto positivo sobre os salários anuais dos jovens que concluíram o ensino médio técnico. Dessa vez nossos resultados são positivos tanto para os jovens que pararam seus estudos no ensino médio como para aqueles que concluíram o ensino superior. Verificamos a existência de heterogeneidade do efeito por região do país e nos quartis de distribuição de notas médias por escola no ENEM, indicando que os efeitos são crescentes com a qualidade oferecida pelas escolas. O terceiro artigo tem por objetivo estudar o mercado de trabalho no que diz respeito às ocupações tipicamente preenchidas por profissionais com nível médio técnico e analisar os diferenciais de salários dessas ocupações. A partir das ideias desenvolvidas no estudo, almejamos que ele seja orientador de políticas que relacionem educação técnica com demandas do mercado, com a finalidade de melhorar o matching entre formação e emprego. Entre as contribuições deste artigo estão a identificação e classificação das ocupações típicas de nível médio técnico pelo diferencial de salários, a correspondência entre as ocupações e as formações técnicas, a análise da atual oferta de vagas nos cursos correspondentes e o destaque para os cursos que parecem necessitar de maiores investimentos para o suprir as necessidades de mais profissionais.