“Bridging” Engineering & Art: An Outreach Approach For Middle And High School Students

In this paper describes a novel outreach approach to high school and middle school students to familiarize them with engineering functions and methods. In this approach students participated in a seven-day summer research camp and learned many engineering skills and tools such as CAD solid modeling, finite element analysis, rapid prototyping, mechanical tests, team working, and communication skills under a project-based bridge design research project. The project choice was intended to integrate principles of artistic design, creative use of public spaces, as well as principles of engineering design. End of the program survey results showed a good understanding about the engineering skills and functions and a high degree of satisfaction among participants.

InterFlowCeption: Foundations for Technological Enhancement of Interoception to Foster Flow States during Mental Work: About the potential of technologically supported body awareness to promote flow experiences during mental work

Conducting mental work by interacting with digital technology increases productivity, but strains attentional capacities and mental well-being. In consequence, many mental workers try to cultivate their fow experience. However, this is complex and difcult to achieve. Nevertheless, current technological systems do not yet provide this support in mental work. As interoception, the individual bodily awareness is an underlying mechanism of numerous fow correlates, it might ofer a new approach for fow-supporting systems in these scenarios. Results from a survey study with 176 digital workers show that adaptive regulation of interoceptive sensations correlates with higher levels of fow and engagement. Additionally, regular mindfulness practices improved workers’ adaptive regulation of bodily signals. Based on these results and integrating the current literature, this work conceptualizes three future technological support systems, such as interoceptive biofeedback, and electrical or auditory stimulation to enhance interoceptive awareness and foster fow in mental work

Executive Functions in Chronic Mesial Temporal Lobe Epilepsy

There is no consensus as to whether mesial temporal lobe epilepsy (MTLE) leads to executive function deficits. In this study, we adopted an extensive neuropsychological test battery and assessed different executive functions in chronic, unilateral MTLE. Performance of MTLE patients was compared with that of healthy peers and with normative data. Several MTLE patients had scores below cut-off or below the 10th percentile of normative data. Scores of the whole patient group were overall in the average range of normative data. Relative to controls, MTLE patients performed poorly in tests of working memory, cognitive flexibility, categorical verbal fluency, set-shifting, categorization, and planning. These findings raise an important methodological issue as they suggest that executive function deficits in chronic MTLE may be individually variable and that their assessment should include different tests. Deficits in chronic MTLE are not limited to temporal lobe functions, such as memory, but may extend to extra temporal cognitive domains, such as executive functions

Исследование алгоритмов фильтрации при обработке зашумленных сигналов

В настоящей работе приводятся результаты исследований по доступным измерительным каналам. Исследование проводилось с позиции подавления высокочастотных случайных помех. Проведённое сравнение результатов подавления высокочастотных случайных помех, а также вычислений, выполненных с использованием БИХ-фильтров, КИХ-фильтров, фильтров на основе взвешенных оконных функций, а также фильтров на базе дискретного и непрерывного вейвлет-преобразования, свидетельствует о возможности выбора оптимальных видов частот. могут быть получены с учётом допустимого уровня достоверности и точности полученных результатов.This paper presents the results of research through available measurement channels. The study was conducted from the position of suppression of high-frequency random interferences. The carried out comparison of the results of suppression of high-frequency random interferences, as well as the calculations made with the use of BIH-filters, BIH-filters, filters based on weighted window functions, as well as filters based on discrete and continuous wavelet transforms, indicates the possibility of choosing the optimal types of frequencies

Riemannian tangent space mapping and elastic net regularization for cost-effective EEG markers of brain atrophy in Alzheimer's disease

The diagnosis of Alzheimer's disease (AD) in routine clinical practice is most commonly based on subjective clinical interpretations. Quantitative electroencephalography (QEEG) measures have been shown to reflect neurodegenerative processes in AD and might qualify as affordable and thereby widely available markers to facilitate the objectivization of AD assessment. Here, we present a novel framework combining Riemannian tangent space mapping and elastic net regression for the development of brain atrophy markers. While most AD QEEG studies are based on small sample sizes and psychological test scores as outcome measures, here we train and test our models using data of one of the largest prospective EEG AD trials ever conducted, including MRI biomarkers of brain atrophy.Comment: Presented at NIPS 2017 Workshop on Machine Learning for Healt