967 resultados para trained incapacity


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El present treball és un estudi sobre l'estigma social en la malaltia mental i la representació d'aquest al cinema. Aquesta anàlisi s'ha portat a terme a partir de dues línies de treball. Per una banda amb l'anàlisi interpretativa de dotze pel·lícules utilitzant els indicadors de 'perillositat'; 'incapacitat per a la vida'; 'incurabilitat'; 'pèrdua de rols socials'; 'por al rebuig i/o por a les relacions socials'; i per l'altra banda a partir d'un grup de discussió, en el qual s'han visionat fragments de cinc pel·lícules amb set estudiants del Grau d'Educació Social de la Universitat de Vic. Dels resultats obtinguts es desprèn que la pel·lícula és un mitjà de comunicació mitjançant el qual els estereotips són usats en favor de l'espectacle, estigmatitzant així les persones diagnosticades de malaltia mental. Aquest és un dels motius que fan valorar el cinema com un recurs educatiu a considerar tant en la formació d'educadors i educadores socials com en els projectes d'intervenció socioeducativa.

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Hypothesis: The quality of care for chronic patients depends on the collaborative skills of the healthcare providers.1,2 The literature lacks reports of the use of simulation to teach collaborative skills in non-acute care settings. We posit that simulation offers benefits for supporting the development of collaborative practice in non-acute settings. We explored the benefits and challenges of using an Interprofessional Team - Objective Structured Clinical Examination (IT-OSCE) as a formative assessment tool. IT-OSCE is an intervention which involves an interprofessional team of trainees interacting with a simulated patient (SP) enabling them to practice collaborative skills in non-acute care settings.5 A simulated patient are people trained to portray patients in a simulated scenario for educational purposes.6,7 Since interprofessional education (IPE) ultimately aims to provide collaborative patient-centered care.8,9 We sought to promote patient-centeredness in the learning process. Methods: The IT-OSCE was conducted with four trios of students from different professions. The debriefing was co-facilitated by the SP with a faculty. The participants were final-year students in nursing, physiotherapy and medicine. Our research question focused on the introduction of co-facilitated (SP and faculty) debriefing after an IT-OSCE: 1) What are the benefits and challenges of involving the SP during the debriefing? and 2) To evaluate the IT-OSCE, an exploratory case study was used to provide fine grained data 10, 11. Three focus groups were conducted - two with students (n=6; n=5), one with SPs (n=3) and one with faculty (n=4). Audiotapes were transcribed for thematic analysis performed by three researchers, who found a consensus on the final set of themes. Results: The thematic analysis showed little differentiation between SPs, student and faculty perspectives. The analysis of transcripts revealed more particularly, that the SP's co-facilitation during the debriefing of an IT-OSCE proved to be feasible. It was appreciated by all the participants and appeared to value and to promote patient-centeredness in the learning process. The main challenge consisted in SPs feedback, more particularly in how they could report accurate observations to a students' group rather than individual students. Conclusion: In conclusion, SP methodology using an IT-OSCE seems to be a useful and promising way to train collaborative skills, aligning IPE, simulation-based team training in a non-acute care setting and patient-centeredness. We acknowledge the limitations of the study, especially the small sample and consider the exploration of SP-based IPE in non-acute care settings as strength. Future studies could consider the preparation of SPs and faculty as co-facilitators. References: 1. Borrill CS, Carletta J, Carter AJ, et al. The effectiveness of health care teams in the National Health Service. Aston centre for Health Service Organisational Research. 2001. 2. Reeves S, Lewin S, Espin S, Zwarenstein M. Interprofessional teamwork for health and social care. Oxford: Wiley-Blackwell; 2010. 3. Issenberg S, McGaghie WC, Petrusa ER, Gordon DL, Scalese RJ. Features and uses of high-fidelity medical simulations that lead to effective learning - a BEME systematic review. Medical Teacher. 2005;27(1):10-28. 4. McGaghie W, Petrusa ER, Gordon DL, Scalese RJ. A critical review of simulation-based medical education research: 2003-2009. Medical Education. 2010;44(1):50-63. 5. Simmons B, Egan-Lee E, Wagner SJ, Esdaile M, Baker L, Reeves S. Assessment of interprofessional learning: the design of an interprofessional objective structured clinical examination (iOSCE) approach. Journal of Interprofessional Care. 2011;25(1):73-74. 6. Nestel D, Layat Burn C, Pritchard SA, Glastonbury R, Tabak D. The use of simulated patients in medical education: Guide Supplement 42.1 - Viewpoint. Medical teacher. 2011;33(12):1027-1029. Disclosures: None (C) 2014 by Lippincott Williams & Wilkins, Inc.

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Thirty years after neo-liberalism hegemony, the states shows its incapacity for driving democratically exceptional situations like global economical crisis. In this context, it seems a particularly interesting issue to exam the popular alternatives that are growing to reject the institutional paralysis. This work take these problems since European perspective, especially this one of Spain, and its scope is justify the new forms of civil disobedience that are growing. They are analyzed not like"paradoxes" of democracy, but like necessary instruments of participative democracy into a really exceptional scenario

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Background: The main objectives of this study are to describe the smoked cocaine user's profile in socially-depressed areas and their needs from a harm-reduction perspective, to investigate their use of smoking crack and compare the acute effects between injecting and smoking consumption. Methods: The study took place in SAPS, Barcelona, Spain. Two focus group sessions were undertaken with a total of 8 drug users. Secondly, the 8 participants answered a structured questionnaire and in the course of the sessions, as a snowball activity, were trained to survey 6 other crack smokers. Results: We obtained 56 questionnaires. The majority of participants were from non-European Community countries (62.69%), 70.2% of participants referred to sharing the smoking equipment. The most frequent symptoms reported during smoked cocaine were mydriasis (83.33%)), perspiration (72.92%) and compulsive object search (70.83%) During the group sessions, participants said that smoked cocaine is much more addictive than injected cocaine and causes more anxiety. Participants also reported the difficulty of changing from injected use to smoked use, due to the larger amount of cocaine needed to reach the same effects as when having injected. Conclusions We can conclude that the research, focused on achieving greater knowledge of the smoked cocaine user's profile, their usage of smoking crack, consumption patterns and acute effects, should be incorporated into substance misuse interventions.

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PURPOSE: The goal of this study was to explore the effect of lifelong aerobic exercise (i.e., chronic training) on skeletal muscle substrate stores (intramyocellular triglyceride [IMTG] and glycogen), skeletal muscle phenotypes, and oxidative capacity (ox), in older endurance-trained master athletes (OA) compared with noncompetitive recreational younger (YA) athletes matched by frequency and mode of training. METHODS: Thirteen OA (64.8 ± 4.9 yr) exercising 5 times per week or more were compared with 14 YA (27.8 ± 4.9 yr) males and females. IMTG, glycogen, fiber types, succinate dehydrogenase, and capillarization were measured by immunohistochemistry in vastus lateralis biopsies. Fat-ox and carbohydrate (CHO)-ox were measured by indirect calorimetry before and after an insulin clamp and during a cycle ergometer graded maximal test. RESULTS: V˙O2peak was lower in OA than YA. The OA had greater IMTG in all fiber types and lower glycogen stores than YA. This was reflected in greater proportion of type I and less type II fibers in OA. Type I fibers were similar in size, whereas type II fibers were smaller in OA compared with YA. Both groups had similar succinate dehydrogenase content. Numbers of capillaries per fiber were reduced in OA but with a higher number of capillaries per area. Metabolic flexibility and insulin sensitivity were similar in both groups. Exercise metabolic efficiency was higher in OA. At moderate exercise intensities, carbohydrate-ox was lower in OA but with similar Fat-ox. CONCLUSIONS: Lifelong exercise is associated with higher IMTG content in all muscle fibers and higher metabolic efficiency during exercise that are not explained by differences in muscle fibers types and other muscle characteristics when comparing older with younger athletes matched by exercise mode and frequency.

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Abstract Gastrointestinal bleeding represents a common medical emergency, with considerable morbidity and mortality rates, and a prompt diagnosis is essential for a better prognosis. In such a context, endoscopy is the main diagnostic tool; however, in cases where the gastrointestinal hemorrhage is massive, the exact bleeding site might go undetected. In addition, a trained professional is not always present to perform the procedure. In an emergency setting, optical colonoscopy presents limitations connected with the absence of bowel preparation, so most of the small bowel cannot be assessed. Scintigraphy cannot accurately demonstrate the anatomic location of the bleeding and is not available at emergency settings. The use of capsule endoscopy is inappropriate in the acute setting, particularly in the emergency department at night, and is a highly expensive method. Digital angiography, despite its high sensitivity, is invasive, presents catheterization-related risks, in addition to its low availability at emergency settings. On the other hand, computed tomography angiography is fast, widely available and minimally invasive, emerging as a promising method in the diagnostic algorithm of these patients, being capable of determining the location and cause of bleeding with high accuracy. Based on a critical literature review and on their own experience, the authors propose a computed tomography angiography protocol to assess the patient with gastrointestinal bleeding.

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Context: Several studies have been carried out to describe how general practitioners (GPs) follow smoking cessation counseling's recommendations and to identify GP-related factors that influence their practice. But limited information exists about practice organization's elements influencing smoking counseling and more generally about prevention activities in primary care (PC) in Switzerland. Objectives: Explore the feasibility of this study. Investigate determinants of PC practices associated with smoking cessation counseling in Switzerland. Explore the GP's attitude towards prevention and the organizational characteristics of PC practices. Design: Pilot Web-based survey in a representative sample of Swiss French speaking GPs. Results : 44 GP's responded; 66% were men; mean age = 57.5 years; 59% were in group practices; 1 GP was currently smoking and 32% were ex-smokers; 57% of GPs found very important to perform health prevention activities. 57% of GPs were trained (>5 hours throughout the career) to provide smoking cessation counseling. 84% of GP's always inquire about smoking status during first consultations, compared to 69% during emergency consultations for respiratory symptoms and only 9% during non-respiratory emergency consultation. Factors positively associated with smoking status inquiring were: young age (<57.5) of GP's for first consultations, rural location and solo practice for emergency consultations. Smoking cessation counseling is systematically provided by 48% of GPs during emergency consultations for respiratory symptoms and by 20% of GPs during follow-up consultations. Factor positively associated with smoking cessation counseling was solo practice. Discussion: In Switzerland, there are missed opportunities to provide smoking cessation counseling, especially in emergency situations, possibly in people who have rarely contacts with the health care system. Despite a small sample, this study showed the potential associations between organizational and GP-related factors and smoking cessation counseling. These findings will be further explored in a national study among 200 GPs' practices.

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Background: Chronic liver diseases (CLDs) are significant causes of death in adults in many countries and are usually diagnosed at late stages. Early detection may allow time for treatment to prevent disease progression. Objectives: The aim of this study was to assess the feasibility of screening for unrecognized CLDs in a primary care nurse consultancy and report findings from screening. Methods: Two experienced nurses in a primary care nurse consultancy were trained to perform transient elastography (TE). Subjects aged from 18 to 70 years were identified randomly from the health registry and invited to participate in a feasibility pilot study. Exclusion criteria were past or current history of liver diseases. Nurses collected demographic and clinical data and performed TE tests using Fibroscan tomeasure liver stiffness; a cutoff score of 6.8 kPa or greater was used as an indicator of the presence of CLD with fibrosis. Results: Accurate measurements were obtained in 495 of 502 participants (98.6%). Prevalence of elevated liver stiffness was observed in 28 of 495 subjects (5.7%). Compared to patients with normal liver stiffness, patients with increased liver stiffness were older, were more frequently male, and had higher frequency of metabolic syndrome. Nonalcoholic fatty liver was the most common cause of CLD. Discussion: Following training in procedures for conducting TE, nurses in a primary care clinic were able to detect unrecognized CLDs in presumably healthy subjects. Early detection of CLDs is feasible in primary care clinics and may facilitate identification of undiagnosed CLD in adults.

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The ability to recognize mental states in oneself and others, or the theory of mind, has been a widely studied topic in last years. Traditionally, these studies have focused on the understanding of false belief, one of the most important milestones in its development. Studies conducted with children with language difficulties suggest that they have a delay in false belief acquisition. On the other hand, numerous studies have established a relationship between the understanding of false belief and language skills. In particular, it has been suggested that training based in labelling objects with double perspective facilitates the understanding of false belief. The aim of the present study is to test the effect of the structuration level of labelling training in a group of children with difficulties in language development. A total of 14 children, aged between 58 and 107 months, were trained in 3 sessions, and a pre-test and a post-test were administered to evaluate the effects of the training. The results confirm a delay in false belief understanding in children with developmental language difficulties, and suggest that the structured labelling training is effective to improve this understanding

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PURPOSE: We investigated the changes in physiological and performance parameters after a Live High-Train Low (LHTL) altitude camp in normobaric (NH) or hypobaric hypoxia (HH) to reproduce the actual training practices of endurance athletes using a crossover-designed study. METHODS: Well-trained triathletes (n = 16) were split into two groups and completed two 18-day LTHL camps during which they trained at 1100-1200 m and lived at 2250 m (P i O2 = 111.9 ± 0.6 vs. 111.6 ± 0.6 mmHg) under NH (hypoxic chamber; FiO2 18.05 ± 0.03%) or HH (real altitude; barometric pressure 580.2 ± 2.9 mmHg) conditions. The subjects completed the NH and HH camps with a 1-year washout period. Measurements and protocol were identical for both phases of the crossover study. Oxygen saturation (S p O2) was constantly recorded nightly. P i O2 and training loads were matched daily. Blood samples and VO2max were measured before (Pre-) and 1 day after (Post-1) LHTL. A 3-km running-test was performed near sea level before and 1, 7, and 21 days after training camps. RESULTS: Total hypoxic exposure was lower for NH than for HH during LHTL (230 vs. 310 h; P < 0.001). Nocturnal S p O2 was higher in NH than in HH (92.4 ± 1.2 vs. 91.3 ± 1.0%, P < 0.001). VO2max increased to the same extent for NH and HH (4.9 ± 5.6 vs. 3.2 ± 5.1%). No difference was found in hematological parameters. The 3-km run time was significantly faster in both conditions 21 days after LHTL (4.5 ± 5.0 vs. 6.2 ± 6.4% for NH and HH), and no difference between conditions was found at any time. CONCLUSION: Increases in VO2max and performance enhancement were similar between NH and HH conditions.

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PURPOSE: To compare hemoglobin mass (Hbmass) changes during an 18-d live high-train low (LHTL) altitude training camp in normobaric hypoxia (NH) and hypobaric hypoxia (HH). METHODS: Twenty-eight well-trained male triathletes were split into three groups (NH: n = 10, HH: n = 11, control [CON]: n = 7) and participated in an 18-d LHTL camp. NH and HH slept at 2250 m, whereas CON slept, and all groups trained at altitudes <1200 m. Hbmass was measured in duplicate with the optimized carbon monoxide rebreathing method before (pre-), immediately after (post-) (hypoxic dose: 316 vs 238 h for HH and NH), and at day 13 in HH (230 h, hypoxic dose matched to 18-d NH). Running (3-km run) and cycling (incremental cycling test) performances were measured pre and post. RESULTS: Hbmass increased similar in HH (+4.4%, P < 0.001 at day 13; +4.5%, P < 0.001 at day 18) and NH (+4.1%, P < 0.001) compared with CON (+1.9%, P = 0.08). There was a wide variability in individual Hbmass responses in HH (-0.1% to +10.6%) and NH (-1.4% to +7.7%). Postrunning time decreased in HH (-3.9%, P < 0.001), NH (-3.3%, P < 0.001), and CON (-2.1%, P = 0.03), whereas cycling performance changed nonsignificantly in HH and NH (+2.4%, P > 0.08) and remained unchanged in CON (+0.2%, P = 0.89). CONCLUSION: HH and NH evoked similar Hbmass increases for the same hypoxic dose and after 18-d LHTL. The wide variability in individual Hbmass responses in HH and NH emphasizes the importance of individual Hbmass evaluation of altitude training.

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An appraisal has been conducted of the impact PADCT (Support Program for Scientific and Technological Development) has caused on brazilian Chemistry and Chemical Engineering over a ten years period (1985-1995). During this time PADCT invested US$ 87.5 million dollars to support both scientific and technolgical development of chemistry. The main results, from an academic point of view, has been the strengthening of support services for academic research, including libraries and analytical facilities, and a consequent increase of the number and quality of human resources trained at the graduate level as well as a significant increase in the number of scientific publications.

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Peer-reviewed

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We introduce a global optimization method based on the cooperation between an Artificial Neural Net (ANN) and Genetic Algorithm (GA). We have used ANN to select the initial population for the GA. We have tested the new method to predict the ground-state geometry of silicon clusters. We have described the clusters as a piling of plane structures. We have trained three ANN architectures and compared their results with those of pure GA. ANN strongly reduces the total computational time. For Si10, it gained a factor of 5 in search speed. This method can be easily extended to other optimization problems.

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Learning of preference relations has recently received significant attention in machine learning community. It is closely related to the classification and regression analysis and can be reduced to these tasks. However, preference learning involves prediction of ordering of the data points rather than prediction of a single numerical value as in case of regression or a class label as in case of classification. Therefore, studying preference relations within a separate framework facilitates not only better theoretical understanding of the problem, but also motivates development of the efficient algorithms for the task. Preference learning has many applications in domains such as information retrieval, bioinformatics, natural language processing, etc. For example, algorithms that learn to rank are frequently used in search engines for ordering documents retrieved by the query. Preference learning methods have been also applied to collaborative filtering problems for predicting individual customer choices from the vast amount of user generated feedback. In this thesis we propose several algorithms for learning preference relations. These algorithms stem from well founded and robust class of regularized least-squares methods and have many attractive computational properties. In order to improve the performance of our methods, we introduce several non-linear kernel functions. Thus, contribution of this thesis is twofold: kernel functions for structured data that are used to take advantage of various non-vectorial data representations and the preference learning algorithms that are suitable for different tasks, namely efficient learning of preference relations, learning with large amount of training data, and semi-supervised preference learning. Proposed kernel-based algorithms and kernels are applied to the parse ranking task in natural language processing, document ranking in information retrieval, and remote homology detection in bioinformatics domain. Training of kernel-based ranking algorithms can be infeasible when the size of the training set is large. This problem is addressed by proposing a preference learning algorithm whose computation complexity scales linearly with the number of training data points. We also introduce sparse approximation of the algorithm that can be efficiently trained with large amount of data. For situations when small amount of labeled data but a large amount of unlabeled data is available, we propose a co-regularized preference learning algorithm. To conclude, the methods presented in this thesis address not only the problem of the efficient training of the algorithms but also fast regularization parameter selection, multiple output prediction, and cross-validation. Furthermore, proposed algorithms lead to notably better performance in many preference learning tasks considered.