977 resultados para Simple methods


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In the accounting literature, interaction or moderating effects are usually assessed by means of OLS regression and summated rating scales are constructed to reduce measurement error bias. Structural equation models and two-stage least squares regression could be used to completely eliminate this bias, but large samples are needed. Partial Least Squares are appropriate for small samples but do not correct measurement error bias. In this article, disattenuated regression is discussed as a small sample alternative and is illustrated on data of Bisbe and Otley (in press) that examine the interaction effect of innovation and style of use of budgets on performance. Sizeable differences emerge between OLS and disattenuated regression

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In the accounting literature, interaction or moderating effects are usually assessed by means of OLS regression and summated rating scales are constructed to reduce measurement error bias. Structural equation models and two-stage least squares regression could be used to completely eliminate this bias, but large samples are needed. Partial Least Squares are appropriate for small samples but do not correct measurement error bias. In this article, disattenuated regression is discussed as a small sample alternative and is illustrated on data of Bisbe and Otley (in press) that examine the interaction effect of innovation and style of use of budgets on performance. Sizeable differences emerge between OLS and disattenuated regression

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Blowing and drifting of snow is a major concern for transportation efficiency and road safety in regions where their development is common. One common way to mitigate snow drift on roadways is to install plastic snow fences. Correct design of snow fences is critical for road safety and maintaining the roads open during winter in the US Midwest and other states affected by large snow events during the winter season and to maintain costs related to accumulation of snow on the roads and repair of roads to minimum levels. Of critical importance for road safety is the protection against snow drifting in regions with narrow rights of way, where standard fences cannot be deployed at the recommended distance from the road. Designing snow fences requires sound engineering judgment and a thorough evaluation of the potential for snow blowing and drifting at the construction site. The evaluation includes site-specific design parameters typically obtained with semi-empirical relations characterizing the local transport conditions. Among the critical parameters involved in fence design and assessment of their post-construction efficiency is the quantification of the snow accumulation at fence sites. The present study proposes a joint experimental and numerical approach to monitor snow deposits around snow fences, quantitatively estimate snow deposits in the field, asses the efficiency and improve the design of snow fences. Snow deposit profiles were mapped using GPS based real-time kinematic surveys (RTK) conducted at the monitored field site during and after snow storms. The monitored site allowed testing different snow fence designs under close to identical conditions over four winter seasons. The study also discusses the detailed monitoring system and analysis of weather forecast and meteorological conditions at the monitored sites. A main goal of the present study was to assess the performance of lightweight plastic snow fences with a lower porosity than the typical 50% porosity used in standard designs of such fences. The field data collected during the first winter was used to identify the best design for snow fences with a porosity of 50%. Flow fields obtained from numerical simulations showed that the fence design that worked the best during the first winter induced the formation of an elongated area of small velocity magnitude close to the ground. This information was used to identify other candidates for optimum design of fences with a lower porosity. Two of the designs with a fence porosity of 30% that were found to perform well based on results of numerical simulations were tested in the field during the second winter along with the best performing design for fences with a porosity of 50%. Field data showed that the length of the snow deposit away from the fence was reduced by about 30% for the two proposed lower-porosity (30%) fence designs compared to the best design identified for fences with a porosity of 50%. Moreover, one of the lower-porosity designs tested in the field showed no significant snow deposition within the bottom gap region beneath the fence. Thus, a major outcome of this study is to recommend using plastic snow fences with a porosity of 30%. It is expected that this lower-porosity design will continue to work well for even more severe snow events or for successive snow events occurring during the same winter. The approach advocated in the present study allowed making general recommendations for optimizing the design of lower-porosity plastic snow fences. This approach can be extended to improve the design of other types of snow fences. Some preliminary work for living snow fences is also discussed. Another major contribution of this study is to propose, develop protocols and test a novel technique based on close range photogrammetry (CRP) to quantify the snow deposits trapped snow fences. As image data can be acquired continuously, the time evolution of the volume of snow retained by a snow fence during a storm or during a whole winter season can, in principle, be obtained. Moreover, CRP is a non-intrusive method that eliminates the need to perform man-made measurements during the storms, which are difficult and sometimes dangerous to perform. Presently, there is lots of empiricism in the design of snow fences due to lack of data on fence storage capacity on how snow deposits change with the fence design and snow storm characteristics and in the estimation of the main parameters used by the state DOTs to design snow fences at a given site. The availability of such information from CRP measurements should provide critical data for the evaluation of the performance of a certain snow fence design that is tested by the IDOT. As part of the present study, the novel CRP method is tested at several sites. The present study also discusses some attempts and preliminary work to determine the snow relocation coefficient which is one of the main variables that has to be estimated by IDOT engineers when using the standard snow fence design software (Snow Drift Profiler, Tabler, 2006). Our analysis showed that standard empirical formulas did not produce reasonable values when applied at the Iowa test sites monitored as part of the present study and that simple methods to estimate this variable are not reliable. The present study makes recommendations for the development of a new methodology based on Large Scale Particle Image Velocimetry that can directly measure the snow drift fluxes and the amount of snow relocated by the fence.

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BACKGROUND Neuronavigation is an essential tool in cranial neurosurgery. Despite continuing improvements in the technologies used for neuronavigation, certain events can lead to unacceptable mismatches. To provide the best possible outcome for the patients, surgeons need to do everything possible to reduce mismatches. METHODS AND RESULTS Some simple techniques can greatly improve neuronavigation accuracy and patient safety. We describe two simple methods that were developed or refined in the Department of Neurosurgery at Inselspital, Bern, Switzerland: the transdermal navigation landmark and use of bone screws for co-registration. CONCLUSIONS Both techniques are easy to use, do not require expensive additional instruments, and are helpful in procedures involving neuronavigation.

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Univariate linkage analysis is used routinely to localise genes for human complex traits. Often, many traits are analysed but the significance of linkage for each trait is not corrected for multiple trait testing, which increases the experiment-wise type-I error rate. In addition, univariate analyses do not realise the full power provided by multivariate data sets. Multivariate linkage is the ideal solution but it is computationally intensive, so genome-wide analysis and evaluation of empirical significance are often prohibitive. We describe two simple methods that efficiently alleviate these caveats by combining P-values from multiple univariate linkage analyses. The first method estimates empirical pointwise and genome-wide significance between one trait and one marker when multiple traits have been tested. It is as robust as an appropriate Bonferroni adjustment, with the advantage that no assumptions are required about the number of independent tests performed. The second method estimates the significance of linkage between multiple traits and one marker and, therefore, it can be used to localise regions that harbour pleiotropic quantitative trait loci (QTL). We show that this method has greater power than individual univariate analyses to detect a pleiotropic QTL across different situations. In addition, when traits are moderately correlated and the QTL influences all traits, it can outperform formal multivariate VC analysis. This approach is computationally feasible for any number of traits and was not affected by the residual correlation between traits. We illustrate the utility of our approach with a genome scan of three asthma traits measured in families with a twin proband.

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Quantifying the rate of propagule release is of most importance to estimate reproductive output of natural populations, but simple methods to obtain such data are seldom reported. We designed and tested an inexpensive apparatus capable of reliably measure the release of gametes, eggs or larvae of sessile marine invertebrates in vertical walls. A population of the acom barnacle Chthamalus bisinuatus was sampled with this trap over 68d to obtain a time series of naupliar release. An apparent semilunar trend is shown, indicating the effectiveness of this sampling method.

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Desde o início da utilização da imunohistoquímica em anatomia patológica, um dos objetivos tem sido detetar as quantidades mais ínfimas de antigénio, tornando-o visível ao microscópio ótico. Vários sistemas de amplificação têm sido aplicados de forma a concretizar este objetivo, tendo surgido um grupo genérico de métodos simples e que apresentam uma amplificação superior: são os denominados métodos do polímero indireto. Tendo em conta a variedade de métodos disponíveis, o autor propõe-se a comparar a qualidade de quatro sistemas de amplificação, que recorrem ao método do polímero indireto com horseradish peroxidase (HRP). Foram utilizadas lâminas de diferentes tecidos, fixados em formol e incluídos em parafina, nos quais se procedeu à identificação de 15 antigénios distintos. Na amplificação recorreu-se a quatro sistemas de polímero indireto (Dako EnVision+ System – K4006; LabVision UltraVision LP Detection System – TL-004-HD; Leica NovoLink – RE7140-k; Vector ImmPRESS Reagent Kit – MP-7402). A observação microscópica e classificação da imunomarcação obtida foram feitas com base num algoritmo que enquadra intensidade, marcação específica, marcação inespecífica e contraste, num score global que pode tomar valores entre 0 e 25. No tratamento dos dados, para além da estatística descritiva, foi utilizado o teste one-way ANOVA com posthoc de tukey (alfa=0.05). O melhor resultado obtido, em termos de par média/desvio-padrão, dos scores globais foi o do NovoLink (22,4/2,37) e o pior foi o do EnVision+ (17,43/3,86). Verificou-se ainda que existe diferença estatística entre os resultados obtidos pelo sistema NovoLink e os sistemas UltraVision (p=.004), ImmPRESS (p=.000) e EnVision+ (p=.000). Concluiu-se que o sistema que permitiu a obtenção de melhores resultados, neste estudo, foi o Leica NovoLink.

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In the second half of 1980, 112 (or ca. 16%) of the inhabitants of the new settlement of São José, city of Manaus, contracted cutaneous leishmaniasis whilst clearing their properties of terra firme rainforest. With the aid of SUCAM, the authors carried out a pilot study to investigate the feasibility of reducing populations of Lutzomyia umbratilis, the local silvatic vector of Leishmania braziliensis guyanensis, by spraying insecticide on its favoured diurnal resting sites, the bases of the larger forest trees. Most manvector contact is at these resting sites and, therefore, it was encouraging to record a marked reduction of the tree-base populations of L. umbratilis for 21 days following just one application of D.D.T. emulsion in an area 200m square. Most of the treated trunks were not occupied by L. umbratilis for at least eleven months. Suggestions for extending the pilot study are made, and the need for collaboration with a clinical team is emphasized. Leishmania b. guyanensis is the aetiological agent of [quot ]pain bois[quot ], which is hyperendemic from French Guiana to central Amazônia. In the absence of proven vaccines or methods of vector control, some simple methods for limiting transmission of Le. b. guyanensis to man are listed.

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The development of palaeoparasitology in Japan has occurred in recent decades. Despite the fact that archaeology in Japan has been slow to develop techniques for excavating ancient toilets, important information about the development of sanitation has been derived from the analysis of a few sites. This shows that the earliest people had very simple methods of sanitation. As populations increased, sanitation became more complex. Ditches surrounding early towns were used for excrement disposal. Eventually distinct toilets were developed followed by cesspit type toilets and flushing toilets. The parasites recovered from these toilets include many species that infect humans today. These parasite spectra reflect local use of aquatic, marine, and land animals. Fecal borne disease was an increasing problem as represented by whipworm and ascarid roundworm eggs. Interestingly, ascarid roundworms were absent in the earliest cultures and only became common with rice agriculture. Finds of pollen and seeds in toilet sediments reveal the use of medicinal plants to control the emerging problem of parasites.

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It is well accepted that people resist evidence that contradicts their beliefs.Moreover, despite their training, many scientists reject results that are inconsistent withtheir theories. This phenomenon is discussed in relation to the field of judgment anddecision making by describing four case studies. These concern findings that clinical judgment is less predictive than actuarial models; simple methods have proven superiorto more theoretically correct methods in times series forecasting; equal weighting ofvariables is often more accurate than using differential weights; and decisions cansometimes be improved by discarding relevant information. All findings relate to theapparently difficult-to-accept idea that simple models can predict complex phenomenabetter than complex ones. It is true that there is a scientific market place for ideas.However, like its economic counterpart, it is subject to inefficiencies (e.g., thinness,asymmetric information, and speculative bubbles). Unfortunately, the market is only correct in the long-run. The road to enlightenment is bumpy.

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In this study, the asphalt absorption of six Iowa limestones were investigated. It was found that the most important factors that determined the nature, amount, and rate of asphalt absorption are porosity and pore-size distribution of the aggregate, viscosity of the asphalt, and time. Methods needed to determine the realistic maximum and minimum asphalt absorption by aggregates are recommended. Simple methods of asphalt absorption were developed. Since the most important factor that determines the accuracy of asphalt absorption is the bulk specific gravity of aggregates and since the current ASTM method is not adequate in this respect, several new methods were developed. Preliminary treatment studies for the purpose of upgrading absorptive aggregates were conducted using close to 40 chemicals. The improvements of some of these treatments on the mixture properties were demonstrated.

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BACKGROUND: PCR has the potential to detect and precisely quantify specific DNA sequences, but it is not yet often used as a fully quantitative method. A number of data collection and processing strategies have been described for the implementation of quantitative PCR. However, they can be experimentally cumbersome, their relative performances have not been evaluated systematically, and they often remain poorly validated statistically and/or experimentally. In this study, we evaluated the performance of known methods, and compared them with newly developed data processing strategies in terms of resolution, precision and robustness. RESULTS: Our results indicate that simple methods that do not rely on the estimation of the efficiency of the PCR amplification may provide reproducible and sensitive data, but that they do not quantify DNA with precision. Other evaluated methods based on sigmoidal or exponential curve fitting were generally of both poor resolution and precision. A statistical analysis of the parameters that influence efficiency indicated that it depends mostly on the selected amplicon and to a lesser extent on the particular biological sample analyzed. Thus, we devised various strategies based on individual or averaged efficiency values, which were used to assess the regulated expression of several genes in response to a growth factor. CONCLUSION: Overall, qPCR data analysis methods differ significantly in their performance, and this analysis identifies methods that provide DNA quantification estimates of high precision, robustness and reliability. These methods allow reliable estimations of relative expression ratio of two-fold or higher, and our analysis provides an estimation of the number of biological samples that have to be analyzed to achieve a given precision.

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Tässä kandidaatintyössä on käsitelty akkuja ja vetypolttokennoja sähköauton voimanlähteenä. Työssä on esitelty sähköautojen ja niiden voimanlähteiden teknologioiden periaatteita, energiankantajia, hyötysuhteita ja päästöjä. Lisäksi on tarkasteltu polttomoottorikäyttöisiä autotekniikoita vertailukohdan saamiseksi. Työn lopuksi on analysoitu sähköautojen markkinoita ja niiden yleistymiseen vaikuttavia tekijöitä. Sähköautot mahdollistavat vaihtoehtoisten energialähteiden käytön, joka antaa tilaisuuden saasteiden ja päästöjen keskitettyyn vähentämiseen ja talteenottoon. Niiden avulla päästään myös pois öljyriippuvuudesta ja paikallisesti aiheutuneista päästöistä. Nykyisten polttoaineiden helpon käsiteltävyyden, kohtuullisien energiatiheyksien ja laajojen infrastruktuurien vuoksi käytössä olevien tekniikoiden syrjäyttäminen on vaikeaa. Uusien tekniikoiden etuja ja haittoja voidaan tarkastella yksinkertaisilla metodeilla, kuten kustannusten, hyötysuhteiden, päästöjen ja polttoaineiden elinkaarien vertailulla. Vertailua vaikeuttaa tosin hintatasojen ja verotuksen eroavaisuudet eri maissa, ja se on siksi suoritettava osin maakohtaisesti. Suurimpia esteitä uusille tekniikoille ovat tällä hetkellä niiden tuomat lisäkustannukset, infrastruktuurien puuttuminen ja nykyisten polttoaineiden korvaaminen toisella.