Search results for "e learning"
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Educating to inspire active learning approaches in mathematics in Norwegian universities
2021
This is a report of an analysis of some of the data generated by a national survey of teaching approaches used in higher education mathematics courses. The overall purpose of the survey was to explore how widespread is the use of teaching approaches that might promote students’ active learning of mathematics. The paper includes a brief presentation of the authors meaning of the expression “teaching actions that have the potential to promote active learning”. The analysis focuses on the responses of 95 lecturers working in 13 Norwegian HE institutions. The goal is to expose underlying patterns in lecturers’ responses to questions about the teaching actions they may incorporate in their pract…
The Study of the Scale through Space. Teaching Innovation Experience among Architecture Schools: Malaga, Seville and Palermo
2018
The educational innovation project object of this communication focuses on the scale problems that arise in the projects of territorial planning carried out in architecture schools, but also in the loss of the scale concept related to thought and drawing. The project involved collaboration among the Schools of Architecture of Malaga, Palermo and Seville with the aim of carrying out a practical exercise among the students of two subjects that, working on different scales, addressed similar concepts. In particular, following an PBL methodology based on collaborative projects, the planning of the N-340 road in the city of Nerja (Málaga) was carried out. Firstly, the territorial scale is addres…
A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living
2015
This research aims to describe pattern recognition models for detecting behavioural and health-related changes in a patient who is monitored continuously in an assisted living environment. The early anticipation of anomalies can improve the rate of disease prevention. Here we present different learning techniques for predicting abnormalities and behavioural trends in various user contexts. In this paper we described a Hidden Markov Model based approach for detecting abnormalities in daily activities, a process of identifying irregularity in routine behaviours from statistical histories and an exponential smoothing technique to predict future changes in various vital signs. The outcomes of t…
Recognition of Falls and Daily Living Activities Using Machine Learning
2018
A robust fall detection system is essential to support the independent living of elderlies. In this context, we develop a machine learning framework for fall detection and daily living activity recognition. Using acceleration data from public databases, we test the performance of two algorithms to classify seven different activities including falls and activities of daily living. We extract new features from the acceleration signal and demonstrate their effect on improving the accuracy and the precision of the classifier. Our analysis reveals that the quadratic support vector machine classifier achieves an overall accuracy of 93.2% and outperforms the artificial neural network algorithm. Re…
Ultradian rhythms in avoidance behavior of DBA mice
1994
This study investigates ultradian rhythm in avoidance behavior of mice, which may constitute a basic rest activity cycle (BRAC). Reaction times (RTs) of an avoidance response to a visual warning stimulus that preceded an electric shock were measured by the use of a computer-controlled shuttle box. The male naive DBA mice were brought to a criterion of 98% correct responses in numerous training sessions. For each subject, all the temporal sequences of the RTs in the trials following achievement of the criterion were examined with discrete Fourier transform. Periodograms were obtained from three sessions for each of the two animals in the first experiment and from 15 subjects in the second ex…
Combining Benford's Law and machine learning to detect money laundering. An actual Spanish court case.
2017
Abstract Objectives This paper is based on the analysis of the database of operations from a macro-case on money laundering orchestrated between a core company and a group of its suppliers, 26 of which had already been identified by the police as fraudulent companies. In the face of a well-founded suspicion that more companies have perpetrated criminal acts and in order to make better use of what are very limited police resources, we aim to construct a tool to detect money laundering criminals. Methods We combine Benford’s Law and machine learning algorithms (logistic regression, decision trees, neural networks, and random forests) to find patterns of money laundering criminals in the conte…
Acute effects of fluoxetine on inhibitory avoidance consolidation in male and female OF1 mice
2001
The effects of acute administration of fluoxetine on memory consolidation using an inhibitory avoidance task were investigated in male and female OF1 mice. Several doses of this antidepressant (5, 10, and 20 mg/kg) were intraperitoneally administered immediately after the training session. The test session was carried out four days later and response latencies were measured in both sessions. The results showed that the highest dose of fluoxetine significantly increased response latencies of inhibitory avoidance compared with the lowest dose and the control group. Sex differences in this task were observed, females showing a better performance. But the drug's effects were not sexually dimorp…
Machine learning of reverse transcription signatures of variegated polymerases allows mapping and discrimination of methylated purines in limited tra…
2020
AbstractReverse transcription (RT) of RNA templates containing RNA modifications leads to synthesis of cDNA containing information on the modification in the form of misincorporation, arrest, or nucleotide skipping events. A compilation of such events from multiple cDNAs represents an RT-signature that is typical for a given modification, but, as we show here, depends also on the reverse transcriptase enzyme. A comparison of 13 different enzymes revealed a range of RT-signatures, with individual enzymes exhibiting average arrest rates between 20 and 75%, as well as average misincorporation rates between 30 and 75% in the read-through cDNA. Using RT-signatures from individual enzymes to trai…
The reverse transcription signature of N-1-methyladenosine in RNA-Seq is sequence dependent
2015
The combination of Reverse Transcription (RT) and high-throughput sequencing has emerged as a powerful combination to detect modified nucleotides in RNA via analysis of either abortive RT-products or of the incorporation of mismatched dNTPs into cDNA. Here we simultaneously analyze both parameters in detail with respect to the occurrence of N-1-methyladenosine (m1A) in the template RNA. This naturally occurring modification is associated with structural effects, but it is also known as a mediator of antibiotic resistance in ribosomal RNA. In structural probing experiments with dimethylsulfate, m1A is routinely detected by RT-arrest. A specifically developed RNA-Seq protocol was tailored to …
Adult Education in Art Galleries
2016
Since I began researching adult education in art galleries 20 years ago in Europe, I have noticed two conflicting trends. Contemporary art has become more extraverted and socially engaged, whilst lifelong learning, the discourse of neoliberalism that informs most policy, has become increasingly focused on providing learners with predefined competencies and pushed for ‘measurable’ results (e.g. Pedersen, 2014; Illeris, 2015).