869 resultados para Operating instructions, usability test, target group, misunderstanding


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Introduction: Schizophrenia is a serious and chronic mental illness that has effect on cognitive and social functioning of a person who suffers it. Recent research points out that social cognition subprocesses, such as Theory of Mind, social perception or emotional processing, have to do with some problems that patients show in their social adjustment. Aim: Assessing ability of recognizing mental states from facial expressions in schizophrenia patients compared to a control group. Subjects and methods: 17 stable schizophrenia patients who are aware of the illness and 17 healthy people, with the same age and sociocultural level, took the “Reading the Mind in the Eyes” Test Revised Version of Baron- Cohen. Results: Compared with the control group, subjects with schizophrenia showed much lower scores. Conclusions: It is confirmed that schizophrenia patients have impairments to understand facial expressions, especially from the eyes. That is typical of this illness, so it is necessary to do interventions at that point. Furthermore, inability to recognize emotions, as a domain of social cognition, contributes to deficit in functional outcome in schizophrenia. Finally, some treatment programs are put forward.

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This paper examines the workaholism phenomenon in different work situations in Colombian company. Workaholism was defined as the individual’s steady and considerable allocation of time to work, which is not derived from external necessities (1). The research studies about workaholics and workaholism have been increasing a lot in the last years (2). Workaholism is an addiction that actually is affecting a lot of people around the world and has serious consequences in personal life, in the community and also in economy. Some of these researches are directed to explore ways to diagnose when a person is workaholic and when this situation may affect the performanceof the individual in work, daily life activities and especially in psychosocial area. Objective: this pilot study contributes to identify if Colombian workers present the main characteristicsof workaholism and if the job they perform is related to the presence of the characteristics of this addiction. Materials and method: for this pilot study used the Dutch Work Addiction Scale(DUWAS), this test suggests when a person has work addiction, trough the evaluation of two main components working excessively and working compulsively. Results: the study find differences for the two groups: the 67% of the AE group are over the average while only the 33% of the members of the O group are over it. Conclusions: these percentages show that the combinations of the components of workaholism are more evident in the population belonging to the administrative/executive jobs group, giving evidence that workaholism is presented in greater proportion in the population performance management positions.

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Objetivo Identificar la prevalencia de síntomas osteomusculares, por segmentos y los factores de riesgo asociados, en los trabajadores de una empresa de Geomática, en Colombia en el año 2014. Metodología Se llevó a cabo un estudio descriptivo de corte transversal con una población de 169 trabajadores, distribuidos en 2 grupos, el grupo de campo que desarrolla actividades de topografía y el grupo de oficina donde se realizan procesamiento de datos en Geomática y actividades administrativas. A cada trabajador se le aplicó el cuestionario ERGOPAR que interroga la exposición o factores de riesgo y la presencia de síntomas osteomusculares. Resultados: El personal de oficina presenta mayor frecuencia de síntomas osteomusculares en el cuello 72%, la región lumbar 55%, los codos 17,7%, las manos y muñecas 57.3%. Presentándose con mayor frecuencia en las mujeres los síntomas en cuello 80% y manos 64%, mientras que los mayores porcentajes en personal de campo se presentan en las piernas 21%, las rodillas 26% y pies 11,5%. Se encontró asociación significativa entre la sedestación durante más de cuatro horas, con dolor en cuello (p=0.02) y dolor en región lumbar (p=0.03); inclinar el cuello hacia delante durante más de cuatro horas, con dolor en el cuello (p=0.006); repetir cada pocos segundos la flexión de muñecas (p=001) y utilizar los dedos de manera intensiva por más de 4 horas (p=0.01) con dolor en manos y las variables jornada laboral y puesto de trabajo con dolor en pies. Conclusiones La prevalencia de síntomas osteomusculares en los trabajadores de la empresa estudiada es alta. Dado que se encontró asociación significativa con las variables sociodemográficas y laborales. La alta prevalencia de sintomatología puede ser explicada por la exposición a carga física laboral, por posturas de trabajo, por movimientos repetitivos y características propias de género.

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This study proposes a new method for testing for the presence of momentum in nominal exchange rates, using a probabilistic approach. We illustrate our methodology estimating a binary response model using information on local currency / US dollar exchange rates of eight emerging economies. After controlling for important variables a§ecting the behavior of exchange rates in the short-run, we show evidence of exchange rate inertia; in other words, we Önd that exchange rate momentum is a common feature in this group of emerging economies, and thus foreign exchange traders participating in these markets are able to make excess returns by following technical analysis strategies. We Önd that the presence of momentum is asymmetric, being stronger in moments of currency depreciation than of appreciation. This behavior may be associated with central bank intervention

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El EuroSCORE II es una de las escalas más empleadas como predictor de riesgo de mortalidad en los servicios de cirugía cardiovascular. Esta ha sido validada en diferentes hospitales alrededor del mundo demostrando una adecuada capacidad de discriminación. El objetivo de este estudio fue evaluar el valor predictivo de la escala de riesgo EuroSCORE II en los pacientes sometidos a Cirugía Cardiovascular en una institución de cuarto nivel de Bogotá. Metodología: Estudio de prueba diagnóstica observacional y retrospectivo de la cohorte de pacientes en una institución de cuarto nivel durante los años 2012 a 2014. Se realizó el cálculo del EuroSCORE II para cada paciente, comparando la mortalidad predicha versus la observada, de forma global y por grupo de riesgo. Resultados: Del total de la población que tuvo intervención cardiaca mayor en una institución de cuarto nivel en la cohorte estudiada se presentaron 58 casos de muerte en los treinta días posteriores a la intervención, que corresponde al 7,46%. La mortalidad esperada calculada con el EuroSCORE II fue del 9,26%, lo cual indica un buen poder de predicción para esta población. Por otro lado, la curva ROC evidencia con un valor de 0.757 del área bajo la curva, que el modelo El EuroSCORE II es un buen modelo predictivo con un adecuado valor de discriminación. Se evidenció que las variables estado crítico preoperatorio y función del ventrículo izquierdo tienen mayor peso estadístico en nuestra población objeto, con una significancia del 0,001, seguido de infarto agudo de miocardio, sexo y peso de la intervención con una significancia del 0,01. Adicionalmente, el Euroscore II tiene mejor valor predictivo cuando se realiza un solo procedimiento o revascularización, en comparación a cuando se realiza procedimientos mixtos. Se recomienda realizar un estudio multicéntrico donde se incluyan pacientes con diferentes características demográficas

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La esclerosis sistémica (ES) es una enfermedad autoinmune multisistémica que afecta principalmente la piel, los pulmones, el tracto gastrointestinal, el corazón y los riñones. La enfermedad pulmonar, presente en casi el 100% de los casos, es el factor con mayor influencia en la mortalidad. El propósito de este estudio es realizar un análisis detallado de la enfermedad pulmonar por tomografía computarizada de alta resolución(TCAR) en pacientes Colombianos con ES, para lo cual se realizó un estudio de prevalencia analítica en 44 pacientes con ES valorados en el Hospital Universitario Mayor Méderi en los últimos 7 años. Los resultados mostraron características demográficas y clínicas similares a las previamente descritas. La prevalencia de enfermedad pulmonar intersticial fue alta, y los hallazgos de fibrosis pulmonar como vidrio esmerilado y panal de abejas se asociaron con la presencia del autoanticuerpo antiSCL70. La medida del diámetro esofágico por TCAR fue mayor en los pacientes con disfagia, antiSCL 70 y linfopenia, los cuales son marcadores de mal pronóstico.

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Introduction Health promotion (HP) aims to enhance good health while preventing ill-health at three levels of activity; primary (preventative), secondary (diagnostic) and tertiary (management).1 It can range from simple provision of health education to ongoing support, but the effectiveness of HP is ultimately dependent on its ability to influence change. HP as part of the Community Pharmacy Contract (CPC) aims to increase public knowledge and target ‘hard-to-reach’ individuals by focusing mainly on primary and tertiary HP. The CPC does not include screening programmes (secondary HP) as a service. Coronary heart disease (CHD) is a significant cause of morbidity and mortality in the UK. While there is evidence to support the effectiveness of some community pharmacy HP strategies in CHD, there is paucity of research in relation to screening services.2 Against this background, Alliance Pharmacy introduced a free CHD risk screening programme to provide tailored HP advice as part of a participant–pharmacist consultation. The aim of this study is to report on the CHD risk levels of participants and to provide a qualitative indication of consultation outcomes. Methods Case records for 12 733 people who accessed a free CHD risk screening service between August 2004 and April 2006 offered at 217 community pharmacies were obtained. The service involved initial self-completion of the Healthy Heart Assessment (HHA) form and measurement of height, weight, body mass index, blood pressure, total cholesterol and highdensity lipoprotein levels by pharmacists to calculate CHD risk.3 Action taken by pharmacists (lifestyle advice, statin recommendation or general practitioner (GP) referral) and qualitative statements of advice were recorded, and a copy provided to the participants. The service did not include follow-up of participants. All participants consented to taking part in evaluations of the service. Ethical committee scrutiny was not required for this service development evaluation. Results Case records for 10 035 participants (3658 male) were evaluable; 5730 (57%) were at low CHD risk (<15%); 3636 (36%) at moderate-to-high CHD risk (≥15%); and 669 (7%) had existing heart disease. A significantly higher proportion of male (48% versus 30% female) participants were at moderate- to-high risk of CHD (chi-square test; P < 0.005). A range of outcomes resulted from consultations. Lifestyle advice was provided irrespective of participants’ CHD risk or existing disease. In the moderate-to-high-risk group, of which 52% received prescribed medication, lifestyle advice was recorded for 62%, 16% were referred and 34% were advised to have a re-assessment. Statin recommendations were made in 1% of all cases. There was evidence of supportive and motivational statements in the advice recorded. Discussion Pharmacists were able to identify individuals’ level of CHD risk and provide them with bespoke advice. Identification of at-risk participants did not automatically result in referrals or statin recommendation. One-third of those accessing the screening service had moderate-to-high risk of CHD, a significantly higher proportion of whom were men. It is not known whether these individuals had been previously exposed to HP but presumably by accessing this service they may have contemplated change. As effectiveness of HP advice will depend among other factors on ability to influence change, future consultations may need to explore patients’ attitude towards change in relation to the Trans Theoretical Model4 to better tailor HP advice. The high uptake of the service by those at moderate-to-high CHD risk indicates a need for this type of screening programme in community pharmacy, perhaps specifically to reach men who access medical services less.

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In clinical trials, situations often arise where more than one response from each patient is of interest; and it is required that any decision to stop the study be based upon some or all of these measures simultaneously. Theory for the design of sequential experiments with simultaneous bivariate responses is described by Jennison and Turnbull (Jennison, C., Turnbull, B. W. (1993). Group sequential tests for bivariate response: interim analyses of clinical trials with both efficacy and safety endpoints. Biometrics 49:741-752) and Cook and Farewell (Cook, R. J., Farewell, V. T. (1994). Guidelines for monitoring efficacy and toxicity responses in clinical trials. Biometrics 50:1146-1152) in the context of one efficacy and one safety response. These expositions are in terms of normally distributed data with known covariance. The methods proposed require specification of the correlation, ρ between test statistics monitored as part of the sequential test. It can be difficult to quantify ρ and previous authors have suggested simply taking the lowest plausible value, as this will guarantee power. This paper begins with an illustration of the effect that inappropriate specification of ρ can have on the preservation of trial error rates. It is shown that both the type I error and the power can be adversely affected. As a possible solution to this problem, formulas are provided for the calculation of correlation from data collected as part of the trial. An adaptive approach is proposed and evaluated that makes use of these formulas and an example is provided to illustrate the method. Attention is restricted to the bivariate case for ease of computation, although the formulas derived are applicable in the general multivariate case.

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There is increasing interest in combining Phases II and III of clinical development into a single trial in which one of a small number of competing experimental treatments is ultimately selected and where a valid comparison is made between this treatment and the control treatment. Such a trial usually proceeds in stages, with the least promising experimental treatments dropped as soon as possible. In this paper we present a highly flexible design that uses adaptive group sequential methodology to monitor an order statistic. By using this approach, it is possible to design a trial which can have any number of stages, begins with any number of experimental treatments, and permits any number of these to continue at any stage. The test statistic used is based upon efficient scores, so the method can be easily applied to binary, ordinal, failure time, or normally distributed outcomes. The method is illustrated with an example, and simulations are conducted to investigate its type I error rate and power under a range of scenarios.

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Sequential methods provide a formal framework by which clinical trial data can be monitored as they accumulate. The results from interim analyses can be used either to modify the design of the remainder of the trial or to stop the trial as soon as sufficient evidence of either the presence or absence of a treatment effect is available. The circumstances under which the trial will be stopped with a claim of superiority for the experimental treatment, must, however, be determined in advance so as to control the overall type I error rate. One approach to calculating the stopping rule is the group-sequential method. A relatively recent alternative to group-sequential approaches is the adaptive design method. This latter approach provides considerable flexibility in changes to the design of a clinical trial at an interim point. However, a criticism is that the method by which evidence from different parts of the trial is combined means that a final comparison of treatments is not based on a sufficient statistic for the treatment difference, suggesting that the method may lack power. The aim of this paper is to compare two adaptive design approaches with the group-sequential approach. We first compare the form of the stopping boundaries obtained using the different methods. We then focus on a comparison of the power of the different trials when they are designed so as to be as similar as possible. We conclude that all methods acceptably control type I error rate and power when the sample size is modified based on a variance estimate, provided no interim analysis is so small that the asymptotic properties of the test statistic no longer hold. In the latter case, the group-sequential approach is to be preferred. Provided that asymptotic assumptions hold, the adaptive design approaches control the type I error rate even if the sample size is adjusted on the basis of an estimate of the treatment effect, showing that the adaptive designs allow more modifications than the group-sequential method.

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In this study, for the first time, prospective memory was investigated in 11 school-aged children with autism spectrum disorders and 11 matched neurotypical controls. A computerised time-based prospective memory task was embedded in a visuospatial working memory test and required participants to remember to respond to certain target times. Controls had significantly more correct prospective memory responses than the autism spectrum group. Moreover, controls checked the time more often and increased time-monitoring more steeply as the target times approached. These differences in time-checking may suggest that prospective memory in autism spectrum disorders is affected by reduced self-initiated processing as indicated by reduced task monitoring.

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Many weeds occur in patches but farmers frequently spray whole fields to control the weeds in these patches. Given a geo-referenced weed map, technology exists to confine spraying to these patches. Adoption of patch spraying by arable farmers has, however, been negligible partly due to the difficulty of constructing weed maps. Building on previous DEFRA and HGCA projects, this proposal aims to develop and evaluate a machine vision system to automate the weed mapping process. The project thereby addresses the principal technical stumbling block to widespread adoption of site specific weed management (SSWM). The accuracy of weed identification by machine vision based on a single field survey may be inadequate to create herbicide application maps. We therefore propose to test the hypothesis that sufficiently accurate weed maps can be constructed by integrating information from geo-referenced images captured automatically at different times of the year during normal field activities. Accuracy of identification will also be increased by utilising a priori knowledge of weeds present in fields. To prove this concept, images will be captured from arable fields on two farms and processed offline to identify and map the weeds, focussing especially on black-grass, wild oats, barren brome, couch grass and cleavers. As advocated by Lutman et al. (2002), the approach uncouples the weed mapping and treatment processes and builds on the observation that patches of these weeds are quite stable in arable fields. There are three main aspects to the project. 1) Machine vision hardware. Hardware component parts of the system are one or more cameras connected to a single board computer (Concurrent Solutions LLC) and interfaced with an accurate Global Positioning System (GPS) supplied by Patchwork Technology. The camera(s) will take separate measurements for each of the three primary colours of visible light (red, green and blue) in each pixel. The basic proof of concept can be achieved in principle using a single camera system, but in practice systems with more than one camera may need to be installed so that larger fractions of each field can be photographed. Hardware will be reviewed regularly during the project in response to feedback from other work packages and updated as required. 2) Image capture and weed identification software. The machine vision system will be attached to toolbars of farm machinery so that images can be collected during different field operations. Images will be captured at different ground speeds, in different directions and at different crop growth stages as well as in different crop backgrounds. Having captured geo-referenced images in the field, image analysis software will be developed to identify weed species by Murray State and Reading Universities with advice from The Arable Group. A wide range of pattern recognition and in particular Bayesian Networks will be used to advance the state of the art in machine vision-based weed identification and mapping. Weed identification algorithms used by others are inadequate for this project as we intend to collect and correlate images collected at different growth stages. Plants grown for this purpose by Herbiseed will be used in the first instance. In addition, our image capture and analysis system will include plant characteristics such as leaf shape, size, vein structure, colour and textural pattern, some of which are not detectable by other machine vision systems or are omitted by their algorithms. Using such a list of features observable using our machine vision system, we will determine those that can be used to distinguish weed species of interest. 3) Weed mapping. Geo-referenced maps of weeds in arable fields (Reading University and Syngenta) will be produced with advice from The Arable Group and Patchwork Technology. Natural infestations will be mapped in the fields but we will also introduce specimen plants in pots to facilitate more rigorous system evaluation and testing. Manual weed maps of the same fields will be generated by Reading University, Syngenta and Peter Lutman so that the accuracy of automated mapping can be assessed. The principal hypothesis and concept to be tested is that by combining maps from several surveys, a weed map with acceptable accuracy for endusers can be produced. If the concept is proved and can be commercialised, systems could be retrofitted at low cost onto existing farm machinery. The outputs of the weed mapping software would then link with the precision farming options already built into many commercial sprayers, allowing their use for targeted, site-specific herbicide applications. Immediate economic benefits would, therefore, arise directly from reducing herbicide costs. SSWM will also reduce the overall pesticide load on the crop and so may reduce pesticide residues in food and drinking water, and reduce adverse impacts of pesticides on non-target species and beneficials. Farmers may even choose to leave unsprayed some non-injurious, environmentally-beneficial, low density weed infestations. These benefits fit very well with the anticipated legislation emerging in the new EU Thematic Strategy for Pesticides which will encourage more targeted use of pesticides and greater uptake of Integrated Crop (Pest) Management approaches, and also with the requirements of the Water Framework Directive to reduce levels of pesticides in water bodies. The greater precision of weed management offered by SSWM is therefore a key element in preparing arable farming systems for the future, where policy makers and consumers want to minimise pesticide use and the carbon footprint of farming while maintaining food production and security. The mapping technology could also be used on organic farms to identify areas of fields needing mechanical weed control thereby reducing both carbon footprints and also damage to crops by, for example, spring tines. Objective i. To develop a prototype machine vision system for automated image capture during agricultural field operations; ii. To prove the concept that images captured by the machine vision system over a series of field operations can be processed to identify and geo-reference specific weeds in the field; iii. To generate weed maps from the geo-referenced, weed plants/patches identified in objective (ii).

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OBJECTIVE: The present study was carried out to investigate effects of meals, rich in either saturated fatty acids (SFA), or n-6 or n-3 fatty acids, on postprandial plasma lipid and hormone concentrations as well as post-heparin plasma lipoprotein lipase (LPL) activity. DESIGN: The study was a randomized single-blind study comparing responses to three test meals. SETTING: The volunteers attended the Clinical Investigation Unit of the Royal Surrey County Hospital on three separate occasions in order to consume the meals. SUBJECTS: Twelve male volunteers with an average age of 22.5 +/- 1.4 years (mean +/- SD), were selected from the University of Surrey student population; one subject dropped out of the study because he found the test meal unpalatable. INTERVENTIONS: Three meals were given in the early evening and postprandial responses were followed overnight for 11h. The oils used to prepare each of the three test meals were: a mixed oil rich in saturated fatty acids (SFA) which mimicked the fatty acid composition of the current UK diet, corn oil, rich in n-6 fatty acids and a fish oil concentrate (MaxEPA) rich in n-3 fatty acids. The oil under investigation (40 g) was incorporated into the test meals which were otherwise identical [208 g carbohydrates, 35 g protein, 5.65 MJ (1350 kcal) energy]. Postprandial plasma triacylglycerol (TAG), gastric inhibitory polypeptide (GIP), and insulin responses, as well as post-heparin LPL activity (measured at 12 h postprandially only) were investigated. RESULTS: Fatty acids of the n-3 series significantly reduced plasma TAG responses compared to the mixed oil meal (P < 0.05) and increased post-heparin LPL activity 15 min after the injection of heparin (P < 0.01). A biphasic response was observed in TAG, with peak responses occurring at 1 h and between 3-7 h postprandially. GIP and insulin showed similar responses to the three test meals and no significant differences were observed. CONCLUSION: We conclude that fish oils can decrease postprandial plasma TAG levels partly through an increase in post-heparin LPL activity, which however, is not due to increased GIP or insulin concentrations.

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The objective of this study was to investigate whether Salkovskis (1985) inflated responsibility model of obsessive-compulsive disorder (OCD) applied to children. In an experimental design, 81 children aged 9– 12 years were randomly allocated to three conditions: an inflated responsibility group, a moderate responsibility group, and a reduced responsibility group. In all groups children were asked to sort sweets according to whether or not they contained nuts. At baseline the groups did not differ on children’s self reported anxiety, depression, obsessive-compulsive symptoms or on inflated responsibility beliefs. The experimental manipulation successfully changed children’s perceptions of responsibility. During the sorting task time taken to complete the task, checking behaviours, hesitations, and anxiety were recorded. There was a significant effect of responsibility level on the behavioural variables of time taken, hesitations and check; as perceived responsibility increased children took longer to complete the task and checked and hesitated more often. There was no between-group difference in children’s self reported state anxiety. The results offer preliminary support for the link between inflated responsibility and increased checking behaviours in children and add to the small but growing literature suggesting that cognitive models of OCD may apply to children.