It is useful for minor applications. When evaluating a large number of integrated modules, however, fault localisation becomes much more challenging. For instance, in our previous application, we may first integrate and then test all the high-level modules, such as login, signup, subscrip...
Poor exercise capacity is the most powerful predictor of mortality and there is evidence for the prescription of exercise as therapy for many diseases. There has been an increasing appreciation that exercise transiently stimulates th...
A non-functional test is a software development procedure used to evaluate the non-functional aspects of a software program. These aspects refer to software elements that don't perform a specific function, such as performance, load times, reliability, accessibility and compliance. In this article,...
Localisation of amino acids provides more information than merely whether a neuronal type is present in the retina or not. The amino acid neurotransmitters glutamate and GABA are linked with metabolism by virtue of their dependence on the normal function of the retinal glia, M眉ller cells, for ...
This is a list of Free Software network services and web applications which can be hosted locally. Selfhosting is the process of locally hosting and managing applications instead of renting from SaaS providers. - whatkai/awesome-selfhosted
By comparing the electron density and delocalisation index in these complexes with that of [U(COT)2] we find that all [U(η6-arene)(BH4)3] complexes have a U–C interaction which is “less covalent” than the former by a significant degree, but all complexes are roughly equivalent to ...
If the number of intersecting features is less than or equal to the allowed limit, the function returns True. If the number of intersecting features exceeds the allowed limit, the function returns False. The function is useful to restrict the number of features that can be loaded as line or...
We also analyse to what extent the localisation rates (i.e., ratio of local results in the search results) affect the variations in image search results when users search for visual information on the pandemic. In the first part of the study, we utilised crowdsourcing to generate queries for...
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The neural network and deep learning approach aims at learning a complex function to match a patient’s information to the appropriate set of medical codes. This function is learned from the training data. From the historical perspective, symbolic AI, as the mainstream approach from 1950 to the...