Search results for "Reliability"
showing 10 items of 1563 documents
Tracing the Cultural Background of Lone-Wolf Terrorism
2021
The end of the Cold War, as well as the collapse of the Soviet Union, posed new greater challenges and risks for the “Global North.” Terrorism—doubtless—seems to be one of them. Over the recent years, and particularly after 9/11, terrorists changed the focus of their attacks. While classic terrorism targeted important persons such as politicians, chief police officers, or celebrities, modern terrorism planned attacks on leisure-spots spaces, tourist destinations, and lay-persons. This is particularly troublesome for policymakers (who are in charge of orchestrating all-pervading models to preserve homeland security) and for field-workers who are seriously punished when they are in contact wi…
#EEGManyLabs
2021
There is growing awareness across the neuroscience community that the replicability of findings about the relationship between brain activity and cognitive phenomena can be improved by conducting studies with high statistical power that adhere to well-defined and standardised analysis pipelines. Inspired by recent efforts from the psychological sciences, and with the desire to examine some of the foundational findings using electroencephalog-raphy (EEG), we have launched #EEGManyLabs, a large-scale international collaborative replication effort. Since its discovery in the early 20th century, EEG has had a profound in-fluence on our understanding of human cognition, but there is limited evid…
Condition Monitoring Technologies for Synthetic Fiber Ropes - a Review
2020
This paper presents a review of different condition monitoring technologies for fiber ropes. Specifically, it presents an overview of the articles and patents on the subject, ranging from the early 70’s up until today with the state of the art. Experimental results are also included and discussed in a conditionmonitoring context,where failuremechanisms and changes in physical parameters give improved insight into the degradation process of fiber ropes. From this review, it is found that automatic width measurement has received surprisingly little attention, and might be a future direction for the development of a continuous condition monitoring system for synthetic fiber ropes.
Vulnerability of a Damaged Bridge Abutment in a Seismic Area
2018
The case of the abutment of a motorway urban viaduct damaged by human intervention is presented. Built in the 1960s, it lies in a critical seismic area and the human-induced damage involved the elements of the abutment foundation. The structure is geometrically complex and the evaluations of its structural safety were carried out by applying Italian codes from different times: those concerning the time of construction, those of a recent past (1996), and those of the present (2008), inspired by Eurocodes. A comparison between the safety checks performed and the requirements of all these codes is presented and discussed, especially regarding safety coefficients after the damage was done. Two …
Satisfacción de las mujeres con la experiencia del parto: validación de la Mackey Satisfaction Childbirth Rating Scale
2012
ResumenObjetivosDeterminar la fiabilidad y validez de contenido y concepto de la Mackey Childbirth Satisfaction Rating Scale, escala para medir la satisfacción de las mujeres con el parto y el nacimiento.MétodosSe utilizó el método de traducción-retrotraducción para obtener una versión adaptada de la escala. Para la validación se seleccionó una muestra de 325 mujeres que habían tenido un hijo sano mediante parto vaginal. La recogida de datos se realizó con un cuestionario autocumplimentado que incluía la escala adaptada, expectativas ante el parto y variables obstétricas y sociodemográficas. Se valoró la fiabilidad en una submuestra de 45 mujeres que cumplimentaron de nuevo la escala a los …
Context-related data processing in artificial neural networks for higher reliability of telerehabilitation systems
2015
Classification is a data processing technique of a great significance both for native eHealth systems and web telemedicine solutions. In this sense, artificial neural networks have been widely applied in telerehabilitation as powerful tools to process information and acquire a new medical knowledge. But effective analysis of multidimensional heterogeneous medical data, still poses considerable difficulties. It was shown that processing too many data features simultaneously is costly and has some adverse effects on the resulting models classification properties. Therefore, there is a strong need to develop new techniques for selecting features from the very large data sets that include many …
Measurement error in schooling data: the OECD case
2003
The effect of human capital is difficult to estimate in cross-country analysis due to measurement errors in schooling data. Using data for OECD countries over the period 1960–1990, the reliability of the widely used Barro and Lee's data set and also the new De la Fuente and Domenech's data set is analysed. Results show that both suffer from measurement errors, but the latter seems to reflect the rate of growth of schooling more accurately, especially when taking long differences.
Excel Table with differentially expressed genes parasite success and attack from Ant behaviour and brain gene expression of defending hosts depend on…
2019
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Building energy demand assessment through heating degree days: the importance of a climatic dataset
2019
Abstract The weather is one of the main factors to consider when designing a building because it represents the most important boundary condition to affect the dynamic behaviour of the building. In the literature, many studies use the degree day to predict building energy demand. However, linking the results obtained from a generic building simulation tool with defined degree days, will not give reliable energy evaluation. The goal of this study is to demonstrate that the assessment of building energy demand through the use of the degree day is correct only if the determination of the climate index is a function of the same weather data. The relationship between Heating Degree-Day and heati…
Building energy performance forecasting: A multiple linear regression approach
2019
Abstract Different ways to evaluate the building energy balance can be found in literature, including comprehensive techniques, statistical and machine-learning methods and hybrid approaches. The identification of the most suitable approach is important to accelerate the preliminary energy assessment. In the first category, several numerical methods have been developed and implemented in specialised software using different mathematical languages. However, these tools require an expert user and a model calibration. The authors, in order to overcome these limitations, have developed an alternative, reliable linear regression model to determine building energy needs. Starting from a detailed …