Titlebook: GeNeDis 2020; Computational Biolog Panayiotis Vlamos Conference proceedings 2021 The Editor(s) (if applicable) and The Author(s), under exc

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Debunking the Neuromyth of Learning Style, to educational interventions that can have a negative impact on learning. In this study, neuromyths and the problems leading to education are initially defined and identified. Then, following the presentation of the qualitative study, the findings of the case study conducted on high school students

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Expert Characteristics: Implications for Expert Systems,h systems are not just able to make simple decisions following “simplistic” linear logical protocols; they “behave” as real experts in at least two ways: by demonstrating superb decision-making skills and by conforming to the social norms for expertise, i.e., they “feel” as human experts. A review o

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Improving the Run-Time of Space-Efficient n-Gram Data Structures Using Apache Spark,t data structure is the reduction of space and time consumption. There is a plethora of different tools able to reduce the run-time of a process, and Apache Spark is one of these; it is a computing framework that is using clusters to execute a process. There are two key features in this software, a

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https://doi.org/10.1007/978-3-642-57712-3n observed, which is associated with obesity and weight gaining. Therefore, in this chapter, we have analysed microarray expression data for obese and lean individuals. The microarray technology simultaneously records the expression levels of thousands of genes across related samples and during biol

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,Interaktionsordnungen im Fu?ballstadion, as a screening test based on a machine learning model that was trained on clinical data and is used to predict lymphoma outcomes in pSS patient. The results of the final model reveal a sensitivity of 100%, accuracy of 82%, and area under the curve of 98% and confirms the importance of C4 value, lym

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Invarianz des mathematischen Selbstkonzeptssence in the early stages can potentially aid in the mortality rate depletion since at that point large tumours are highly unlikely to have developed. Technological advances of the last decades have provided advanced tools that employ machine learning for early detection. Common techniques include t