939 resultados para Minimum Criteria for Interview
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BACKGROUND The visual demands of modern classrooms are poorly understood yet are relevant in determining the levels of visual function required to perform optimally within this environment. METHODS Thirty-three Year 5 and 6 classrooms from eight south-east Queensland schools were included. Classroom activities undertaken during a full school day (9 am to 3 pm) were observed and a range of measurements recorded, including classroom environment (physical dimensions, illumination levels), text size and contrast of learning materials, habitual working distances (distance and estimated for near) and time spent performing various classroom tasks. These measures were used to calculate demand-related minimum criteria for distance and near visual acuity, contrast and sustained use of accommodation and vergence. RESULTS The visual acuity demands for distance and near were 0.33 ± 0.13 and 0.72 ± 0.09 logMAR, respectively (using habitual viewing distances and smallest target sizes) or 0.33 ± 0.09 logMAR assuming a 2.5 times acuity reserve for sustained near tasks. The mean contrast levels of learning materials at distance and near were greater than 70 per cent. Near tasks (47 per cent) dominated the academic tasks performed in the classroom followed by distance (29 per cent), distance to near (15 per cent) and computer-based (nine per cent). On average, children engaged in continuous near fixation for 23 ± 5 minutes at a time and during distance-near tasks performed fixation changes 10 ± 1 times per minute. The mean estimated habitual near working distance was 23 ± 1 cm (4.38 ± 0.24 D accommodative demand) and the vergence demand was 0.86 ± 0.07Δ at distance and 21.94 ± 1.09Δ at near assuming an average pupillary distance of 56 mm. CONCLUSIONS Relatively high levels of visual acuity, contrast demand and sustained accommodative-convergence responses are required to meet the requirements of modern classroom environments. These findings provide an evidence base to inform prescribing guidelines and develop paediatric vision screening protocols and referral criteria.
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Se ha realizado un estudio de la distribución de plantas vasculares en un territorio situado entre las provincias de Cuenca, Guadalajara, Madrid y Toledo (España). El territorio estudiado está en la Submeseta Sur de la península ibérica, al sur del Sistema Central, norte de los Montes de Toledo y oeste del Sistema Ibérico, en zonas sedimentarias con poco relieve y clima mediterráneo, con grandes contrastes de temperatura y precipitaciones muy irregulares. Coincide con las regiones naturales llamadas: “Alcarrias”, “Campiñas de Madrid y Guadalajara” y “Vegas de los ríos de la Cuenca del Tajo”. Es lo que he llamado Cuenca Media del Tajo. En una primera fase se ha estudiado la flora regional para adquirir conocimientos previos mediante las consultas bibliográficas y de herbarios, se ha contado con bases de datos disponibles para MA, MACB, MAF, JACA, AH, ABH, VAL, SALA y EMMA. Se han revisado las aportaciones propias que en los últimos años he realizado en el territorio en relación a los temas tratados en la tesis. El trabajo de campo ha consistido en la realización de inventarios de presencia de flora. Ha sido muy importante la tarea herborizadora para llegar a la correcta identificación de las especies colectadas en los inventarios. De esta forma el autor ha confeccionado un herbario propio JML que en el territorio muestreado ha reunido cerca de 15000 números en las cuatro provincias estudiadas. Se ha hecho un muestreo sistemático del territorio con unos 6000 listados de plantas. Se ha tomado como unidad de muestreo la cuadrícula de UTM de 1 km de lado incluida como una centésima parte de la cuadrícula de UTM de 10 km. Se han seguido criterios para uniformizar el muestreo. Se ha apuntado el tiempo empleado y la superficie muestreada estimada en cada toma de datos. El criterio mínimo que tienen que cumplir todas las cuadrículas en el área estudiada ha sido que para cada cuadrícula de UTM de 5 km se han realizado al menos 5 inventarios en 5 cuadrículas diferentes de UTM de 1 km y al menos en una hora de tiempo. La unidad de comparación ha sido la cuadrícula UTM de 5 km. Se han informatizado los inventarios de campo, para ello se ha creado la base de datos TESIS en Microsoft office –Access-. Las principales tablas son LOCALIDAD, en la que se anotan las características del lugar muestreado y ESPECIES, que lista las especies de flora consideradas en las cuatro provincias del estudio. Por medio de formularios se han rellenado las tablas; destaca la tabla ESPECIE INVENTARIO que relaciona las tablas ESPECIES y LOCALIDAD; esta tabla cuenta en este momento con unos 165.000 registros. En la tabla ESPECIES_FPVI se visualizan las especies recopiladas. Se ha creado un indicador llamado FPVI “Flora permanentemente visible identificable” que consiste en atribuir a cada especie unos índices que nos permiten saber si una determinada planta se puede detectar en cualquier época del año. Los resultados presentados son: Creación de la base de datos TESIS. El Catálogo Florístico de la Cuenca Media del Tajo, que es el catálogo de la flora de las cuatro provincias desde el principio de la sistemática hasta las Saxifragáceas. En total se han recopilado 1028 taxones distribuidos en 77 familias. Se ha calculado el índice FPVI, para las especies del catálogo. La finalidad para la que se ha diseñado este índice es para poder comparar territorios. Para el desarrollo de ambos resultados ha sido fundamental el desarrollo de la tabla ESPECIES_PVI de la base de datos TESIS. En la tabla ESPECIES_PVI se han apuntado las características ecológicas y se revisa la información bibliográfica disponible para cada especie; las principales fuentes de información consultadas han sido Flora iberica, el proyecto “Anthos” y las bases de datos de los herbarios. Se ha apuntado sí se ha visto, sí está protegida o sí en un endemismo. Otros resultados son: la localización de las cuadrículas de UTM de 10 km, con mayor número de endemismos o especies singulares, con mayor valor botánico. Se ha realizado un par de ejemplos de estudios de autoecología de especie, en concreto Teucrium pumilum y Clematis recta. Se han confeccionando salidas cartográficas de distribución de especies. Se ha elaborado el herbario JML. Se ha presentado una sencilla herramienta para incluir inventarios florísticos, citas corológicas, consultas de autoecología o etiquetado de pliegos de herbario. Como colofón, se ha colaborado para desarrollar una aplicación informática de visualización, análisis y estudio de la distribución de taxones vegetales, que ha utilizado como datos de partida un porcentaje importante de los obtenidos para esta tesis. ABSTRACT I have made a study of the distribution of vascular plants in a territory located between the provinces of Cuenca, Guadalajara, Madrid and Toledo (Spain). The studied area is in the “Submeseta” South of the Iberian Peninsula, south of the Central System, north of the Montes de Toledo and west of the Iberian System, in sedimentary areas with little relief and Mediterranean climate, with big temperature contrasts and irregular rainfall. Coincides with the natural regions called "Alcarrias", "countryside of Madrid and Guadalajara" and “Vegas River Tagus Basin”. This is what I have called Middle Tagus Basin. In a first step we have studied the regional flora to acquire prior knowledge through the literature and herbaria consultations, it has had available databases for MA, MACB, MAF, JACA, AH, ABH, VAL, SALA and EMMA herbaria. The contributions I have made in the last years in the territory in relation to the topics discussed in the thesis have been revised. The field work consisted of conducting inventories presence of flora. Botanize was a very important task to get to the correct identification of the species collected in inventories. In this way the author has made his own herbarium JML in the sampled area has met at least 15000 samples in the four studied provinces. There has been a systematic sampling of the territory with nearly 6,000 listings of plants. Was taken as the sampling unit grid UTM 1 km side included as a hundredth of the UTM grid of 10 km from side. Criteria have been taken to standardize the sampling. Data were taken of the time spent and the estimated sampled surface. The minimum criteria they have to meet all the grids in the study area has been that for each UTM grid of 5 km have been made at least 5 stocks in 5 different grids UTM 1 km and at least one hour of time. The unit of comparison was the UTM grid of 5 km. I have computerized inventories of field, for it was created a database in Access- Microsoft office -TESIS. The main tables are LOCALIDAD, with caracteristics of the sampled location and ESPECIES, which lists the plant species considered in the four provinces of the study, is. Through forms I filled in the tables; highlights ESPECIE INVENTARIO table that relates the tables ESPECIES and LOCALIDAD, this table is counted at the moment with about 165,000 records. The table ESPECIES FPVI visualizes all recollected species. We have created an indicator called FPVI "Flora permanently visible identifiable" that attributes to each species indices that allow us to know whether a given plant can be detected in any season. The results presented are: Creating data base TESIS. The Floristic Books Middle Tagus Basin, which is a catalog of the flora of the four provinces since the beginning of the systematic until Saxifragaceae. In total 1028 collected taxa in 77 families. We calculated FPVI index for species catalog. The purpose for which this index designed is, to compare territories. For the development of both results, it was essential to develop the table ESPECIES_PVI TESIS data base. Table ESPECIES_PVI has signed the ecological characteristics and bibliographic information available for each species is revised; the main sources of information has been Flora iberica, the Anthos project databases of herbaria. Targeted species has been recorded, when seen, protected or endemism. Have also been located UTM grids of 10 km, with the largest number of endemic or unique species and more botanical value. There have been a couple of species autecology studies, namely Teucrium pumilum and Clematis recta, as an example of this type of study. They have been putting together maps of species distribution. We made herbarium JML. I have presented a simple tool to include floristic inventories, chorological appointments, consultations or to tag autoecology herbarium specimens. To cap it has worked to develop a computer application for visualization, analysis and study of the distribution of plant taxa, which has used as input data a significant percentage of those obtained for this thesis.
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A systematic review of the literature on the effectiveness of physical interventions for lateral epicondylalgia ( tennis elbow) was carried out. Seventy six randomised controlled trials were identified, 28 of which satisfied the minimum criteria for meta-analysis. The evidence suggests that extracorporeal shock wave therapy is not beneficial in the treatment of tennis elbow. There is a lack of evidence for the long term benefit of physical interventions in general. However, further research with long term follow up into manipulation and exercise as treatments is indicated.
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In this article, a minimum weight design of carbon/epoxy laminates is carried out using genetic algorithms. New failure envelopes have been developed by the combination of two commonly used phenomenological failure criteria, namely Maximum Stress (MS) and Tsai-Wu (TW) are used to obtain the minimum weight of the laminate. These failure envelopes are the most conservative failure envelope (MCFE) and the least conservative failure envelope (LCFE). Uniaxial and biaxial loading conditions are considered for the study and the differences in the optimal weight of the laminate are compared for the MCFE and LCFE. The MCFE can be used for design of critical load-carrying composites, while the LCFE could be used for the design of composite structures where weight reduction is much more important than safety such as unmanned air vehicles.
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An analysis of Stochastic Diffusion Search (SDS), a novel and efficient optimisation and search algorithm, is presented, resulting in a derivation of the minimum acceptable match resulting in a stable convergence within a noisy search space. The applicability of SDS can therefore be assessed for a given problem.
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"Prime contract no. AF 04(647)-930. Aerospace Corp. subcontract no. 61-123."
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An elective internship unit as part of a work integrated learning program in a business faculty is presented as a case study. In the unit, students complete a minimum of 120 hours work placement over the course of a 13 week semester. The students are majoring in advertising, marketing, or public relations and are placed in corporations, government agencies, and not for profit organisations. To support and scaffold the students’ learning in the work environment, a range of classroom and online learning activities are part of the unit. Classroom activities include an introductory workshop to prepare students for placement, an industry panel, and interview workshop. These are delivered as three workshops across the semester. Prior to commencing their placement, students complete a suite of online learning modules. The Work Placement Preparation Program assists students in securing obtaining a placement and make a successful transition to the work environment. It provides an opportunity for students to source possible work placement sites, prepare competitive applications, develop and rehearse interview skills, deal with workplace issues, and use a student ePortfolio to reflect on their skills and achievements. Students contribute to a reflective blog throughout their placement, with feedback from academic supervisors throughout the placement. The completion of the online learning modules and contribution to a reflective blog are assessed as part of the unit. Other assessment tools include a internship plan and learning contract between the student, industry supervisor, and academic supervisor; job application including responses to selection criteria; and presentation to peers, academics and industry representatives at a poster session. The paper discusses the development of the internship unit over three years, particularly learning activities and assessment. The reflection and refinement of the unit is informed by a pedagogical framework, and the development of processes to best manage placement for all stakeholders. A model of best practice is proposed, that can be adapted to a variety of discipline areas.
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The traditional searching method for model-order selection in linear regression is a nested full-parameters-set searching procedure over the desired orders, which we call full-model order selection. On the other hand, a method for model-selection searches for the best sub-model within each order. In this paper, we propose using the model-selection searching method for model-order selection, which we call partial-model order selection. We show by simulations that the proposed searching method gives better accuracies than the traditional one, especially for low signal-to-noise ratios over a wide range of model-order selection criteria (both information theoretic based and bootstrap-based). Also, we show that for some models the performance of the bootstrap-based criterion improves significantly by using the proposed partial-model selection searching method. Index Terms— Model order estimation, model selection, information theoretic criteria, bootstrap 1. INTRODUCTION Several model-order selection criteria can be applied to find the optimal order. Some of the more commonly used information theoretic-based procedures include Akaike’s information criterion (AIC) [1], corrected Akaike (AICc) [2], minimum description length (MDL) [3], normalized maximum likelihood (NML) [4], Hannan-Quinn criterion (HQC) [5], conditional model-order estimation (CME) [6], and the efficient detection criterion (EDC) [7]. From a practical point of view, it is difficult to decide which model order selection criterion to use. Many of them perform reasonably well when the signal-to-noise ratio (SNR) is high. The discrepancies in their performance, however, become more evident when the SNR is low. In those situations, the performance of the given technique is not only determined by the model structure (say a polynomial trend versus a Fourier series) but, more importantly, by the relative values of the parameters within the model. This makes the comparison between the model-order selection algorithms difficult as within the same model with a given order one could find an example for which one of the methods performs favourably well or fails [6, 8]. Our aim is to improve the performance of the model order selection criteria in cases where the SNR is low by considering a model-selection searching procedure that takes into account not only the full-model order search but also a partial model order search within the given model order. Understandably, the improvement in the performance of the model order estimation is at the expense of additional computational complexity.
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More than 1200 wheat and 120 barley experiments conducted in Australia to examine yield responses to applied nitrogen (N) fertiliser are contained in a national database of field crops nutrient research (BFDC National Database). The yield responses are accompanied by various pre-plant soil test data to quantify plant-available N and other indicators of soil fertility status or mineralisable N. A web application (BFDC Interrogator), developed to access the database, enables construction of calibrations between relative crop yield ((Y0/Ymax) × 100) and N soil test value. In this paper we report the critical soil test values for 90% RY (CV90) and the associated critical ranges (CR90, defined as the 70% confidence interval around that CV90) derived from analysis of various subsets of these winter cereal experiments. Experimental programs were conducted throughout Australia’s main grain-production regions in different eras, starting from the 1960s in Queensland through to Victoria during 2000s. Improved management practices adopted during the period were reflected in increasing potential yields with research era, increasing from an average Ymax of 2.2 t/ha in Queensland in the 1960s and 1970s, to 3.4 t/ha in South Australia (SA) in the 1980s, to 4.3 t/ha in New South Wales (NSW) in the 1990s, and 4.2 t/ha in Victoria in the 2000s. Various sampling depths (0.1–1.2 m) and methods of quantifying available N (nitrate-N or mineral-N) from pre-planting soil samples were used and provided useful guides to the need for supplementary N. The most regionally consistent relationships were established using nitrate-N (kg/ha) in the top 0.6 m of the soil profile, with regional and seasonal variation in CV90 largely accounted for through impacts on experimental Ymax. The CV90 for nitrate-N within the top 0.6 m of the soil profile for wheat crops increased from 36 to 110 kg nitrate-N/ha as Ymax increased over the range 1 to >5 t/ha. Apparent variation in CV90 with seasonal moisture availability was entirely consistent with impacts on experimental Ymax. Further analyses of wheat trials with available grain protein (~45% of all experiments) established that grain yield and not grain N content was the major driver of crop N demand and CV90. Subsets of data explored the impact of crop management practices such as crop rotation or fallow length on both pre-planting profile mineral-N and CV90. Analyses showed that while management practices influenced profile mineral-N at planting and the likelihood and size of yield response to applied N fertiliser, they had no significant impact on CV90. A level of risk is involved with the use of pre-plant testing to determine the need for supplementary N application in all Australian dryland systems. In southern and western regions, where crop performance is based almost entirely on in-crop rainfall, this risk is offset by the management opportunity to split N applications during crop growth in response to changing crop yield potential. In northern cropping systems, where stored soil moisture at sowing is indicative of minimum yield potential, erratic winter rainfall increases uncertainty about actual yield potential as well as reducing the opportunity for effective in-season applications.
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Soil testing is the most widely used tool to predict the need for fertiliser phosphorus (P) application to crops. This study examined factors affecting critical soil P concentrations and confidence intervals for wheat and barley grown in Australian soils by interrogating validated data from 1777 wheat and 150 barley field treatment series now held in the BFDC National Database. To narrow confidence intervals associated with estimated critical P concentrations, filters for yield, crop stress, or low pH were applied. Once treatment series with low yield (<1 t/ha), severe crop stress, or pHCaCl2 <4.3 were screened out, critical concentrations were relatively insensitive to wheat yield (>1 t/ha). There was a clear increase in critical P concentration from early trials when full tillage was common compared with those conducted in 1995–2011, which corresponds to a period of rapid shift towards adoption of minimum tillage. For wheat, critical Colwell-P concentrations associated with 90 or 95% of maximum yield varied among Australian Soil Classification (ASC) Orders and Sub-orders: Calcarosol, Chromosol, Kandosol, Sodosol, Tenosol and Vertosol. Soil type, based on ASC Orders and Sub-orders, produced critical Colwell-P concentrations at 90% of maximum relative yield from 15 mg/kg (Grey Vertosol) to 47 mg/kg (Supracalcic Calcarosols), with other soils having values in the range 19–27 mg/kg. Distinctive differences in critical P concentrations were evident among Sub-orders of Calcarosols, Chromosols, Sodosols, Tenosols, and Vertosols, possibly due to differences in soil properties related to P sorption. However, insufficient data were available to develop a relationship between P buffering index (PBI) and critical P concentration. In general, there was no evidence that critical concentrations for barley would be different from those for wheat on the same soils. Significant knowledge gaps to fill to improve the relevance and reliability of soil P testing for winter cereals were: lack of data for oats; the paucity of treatment series reflecting current cropping practices, especially minimum tillage; and inadequate metadata on soil texture, pH, growing season rainfall, gravel content, and PBI. The critical concentrations determined illustrate the importance of recent experimental data and of soil type, but also provide examples of interrogation pathways into the BFDC National Database to extract locally relevant critical P concentrations for guiding P fertiliser decision-making in wheat and barley.
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This article analyzes the effect of devising a new failure envelope by the combination of the most commonly used failure criteria for the composite laminates, on the design of composite structures. The failure criteria considered for the study are maximum stress and Tsai-Wu criteria. In addition to these popular phenomenological-based failure criteria, a micromechanics-based failure criterion called failure mechanism-based failure criterion is also considered. The failure envelopes obtained by these failure criteria are superimposed over one another and a new failure envelope is constructed based on the lowest absolute values of the strengths predicted by these failure criteria. Thus, the new failure envelope so obtained is named as most conservative failure envelope. A minimum weight design of composite laminates is performed using genetic algorithms. In addition to this, the effect of stacking sequence on the minimum weight of the laminate is also studied. Results are compared for the different failure envelopes and the conservative design is evaluated, with respect to the designs obtained by using only one failure criteria. The design approach is recommended for structures where composites are the key load-carrying members such as helicopter rotor blades.
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The design optimization of laminated composites using naturally inspired optimization techniques such as vector evaluated particle swarm optimization (VEPSO) and genetic algorithms (GA) are used in this paper. The design optimization of minimum weight of the laminated composite is evaluated using different failure criteria. The failure criteria considered are maximum stress (MS), Tsai-Wu (TW) and failure mechanism based (FMB) failure criteria. Minimum weight of the laminates are obtained for different failure criteria using VEPSO and GA for different combinations of loading. From the study it is evident that VEPSO and GA predict almost the same minimum weight of the laminate for the given loading. Comparison of minimum weight of the laminates by different failure criteria differ for some loading combinations. The comparison shows that FMBFC provide better results for all combinations of loading. (C) 2010 Elsevier Ltd. All rights reserved.