Teaching Video NeuroImage: Reflex Epilepsy—Seizures Induced by Vigorous Exercise

AbstractHot water epilepsy (HWE) is a subtype of reflex epilepsy in which seizures are triggered by the head being immersed in hot water. Hot water or bathing epilepsy is the type of reflex epilepsy most frequently encountered in our clinic. We describe our patients with HWE and also discuss the clinical features, therapeutic approaches, and prognosis. Eleven patients (10 boys, 1 girl), aged 12 months to 13 years, admitted to the pediatric neurology clinic between January 2018 and August 2019, and diagnosed with HWE or bathing epilepsy based on International League Against Epilepsy (ILAE)-2017, were followed up prospectively for ∼18 months. Patients' clinical and electroencephalography (EEG) findings and treatment details were noted. All 11 patients' seizures were triggered by hot water. Age at first seizure was between 2 months and 12 years. Seizure types were generalized motor seizures, absence, and atonic. EEG was normal in two patients, but nine patients had epileptiform discharges. Magnetic resonance imaging of the brain was performed and reported as normal (except in one case). Histories of prematurity were present in two patients, unprovoked seizures in one, and low birth weight and depressed birth in the other. Patients with HWE have normal neuromuscular development and neurological examination results, together with prophylaxis or seizure control with a single antiepileptic drug, suggesting that it is a self-limited reflex epilepsy.

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Contractile behavior of the gastrocnemius medialis muscle during running in simulated hypogravity

npj Microgravity ◽

10.1038/s41526-021-00155-7 ◽

2021 ◽

Vol 7 (1) ◽

Author(s):

Charlotte Richter ◽

Bjoern Braunstein ◽

Benjamin Staeudle ◽

Julia Attias ◽

Alexander Suess ◽

...

Keyword(s):

Elastic Element ◽

Muscle Wasting ◽

Space Station ◽

Vigorous Exercise ◽

Gastrocnemius Medialis ◽

Gravitational Forces ◽

Series Elastic Element ◽

Applied Loading ◽

Exercise Countermeasures ◽

Series Elastic

AbstractVigorous exercise countermeasures in microgravity can largely attenuate muscular degeneration, albeit the extent of applied loading is key for the extent of muscle wasting. Running on the International Space Station is usually performed with maximum loads of 70% body weight (0.7 g). However, it has not been investigated how the reduced musculoskeletal loading affects muscle and series elastic element dynamics, and thereby force and power generation. Therefore, this study examined the effects of running on the vertical treadmill facility, a ground-based analog, at simulated 0.7 g on gastrocnemius medialis contractile behavior. The results reveal that fascicle−series elastic element behavior differs between simulated hypogravity and 1 g running. Whilst shorter peak series elastic element lengths at simulated 0.7 g appear to be the result of lower muscular and gravitational forces acting on it, increased fascicle lengths and decreased velocities could not be anticipated, but may inform the development of optimized running training in hypogravity. However, whether the alterations in contractile behavior precipitate musculoskeletal degeneration warrants further study.

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Intelligent Teaching Evaluation System Integrating Facial Expression and Behavior Recognition in Teaching Video

2021 IEEE International Conference on Big Data and Smart Computing (BigComp) ◽

10.1109/bigcomp51126.2021.00019 ◽

2021 ◽

Author(s):

Zheng Chen ◽

Meiyu Liang ◽

Wanying Yu ◽

Yongkang Huang ◽

Xiaoxiao Wang

Keyword(s):

Facial Expression ◽

Evaluation System ◽

Teaching Evaluation ◽

Behavior Recognition ◽

And Behavior ◽

Teaching Video

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Genetic Influences on Individual Differences in Exercise Behavior during Adolescence

International Journal of Pediatrics ◽

10.1155/2010/138345 ◽

2010 ◽

Vol 2010 ◽

pp. 1-8 ◽

Cited By ~ 19

Author(s):

Niels van der Aa ◽

Eco J. C. De Geus ◽

Toos C. E. M. van Beijsterveldt ◽

Dorret I. Boomsma ◽

Meike Bartels

Keyword(s):

Structural Equation ◽

Leisure Time ◽

Genetic Factors ◽

Threshold Model ◽

Exercise Behavior ◽

Equation Modeling ◽

Substantial Part ◽

Vigorous Exercise ◽

Exercise Frequency ◽

Age Cohorts

The aim of this study was to investigate the degree to which genetic and environmental influences affect variation in adolescent exercise behavior. Data on regular leisure time exercise activities were analyzed in 8,355 adolescent twins, from three-age cohorts (13-14, 15-16, and 17–19 years). Exercise behavior was assessed with survey items about type of regular leisure time exercise, frequency, and duration of the activities. Participants were classified as sedentary, regular exercisers, or vigorous exercisers. The prevalence of moderate exercise behavior declined from age 13 to 19 years with a parallel increase in prevalence of sedentary behavior, whereas the prevalence of vigorous exercise behavior remained constant across age cohorts. Variation in exercise behavior was analyzed with genetic structural equation modeling employing a liability threshold model. Variation was largely accounted for by genetic factors (72% to 85% of the variance was explained by genetic factors), whereas shared environmental factors only accounted for a substantial part of the variation in girls aged 13-14 years (46%). We hypothesize that genetic effects on exercise ability may explain the high heritability of exercise behavior in this phase of life.

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Intelligent English classroom video clarity improvement based on motion compensation and grid flow

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189528 ◽

2020 ◽

pp. 1-11

Author(s):

Shufang Li ◽

Wang Juan

Keyword(s):

Motion Compensation ◽

Noise Removal ◽

Operating Efficiency ◽

Camera Motion ◽

Video Denoising ◽

Actual Operating ◽

Flow Motion ◽

Pros And Cons ◽

English Classroom ◽

Teaching Video

For the English classroom teaching video denoising algorithm, it is not only necessary to consider whether the noise removal of the output video is thorough, but also to consider the actual operating efficiency and robustness of the algorithm. In the process of the thesis research, after reading a large number of internal and external documents on video denoising algorithms and analyzing the pros and cons of various denoising algorithms, this paper proposes a new video denoising algorithm, which uses the recently proposed grid flow motion model based on camera motion compensation to generate denoised video. Compared with the current advanced video denoising schemes, our method processes noisy frames faster and has good robustness. In addition, this article improves the algorithm framework so that the algorithm can not only deal with offline video denoising, but also deal with online video denoising.

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Data from Digital Health Devices Informs Ideal Cardiovascular Health

Journal of Personalized Medicine ◽

10.3390/jpm11030189 ◽

2021 ◽

Vol 11 (3) ◽

pp. 189

Author(s):

Jane A. Leopold ◽

Roger B. Davis ◽

Elliott M. Antman

Keyword(s):

Cardiovascular Health ◽

Digital Health ◽

Vigorous Exercise ◽

Activity Data ◽

Health Score ◽

Ideal Cardiovascular Health ◽

Digital Devices ◽

Significant Difference ◽

Life’S Simple 7 ◽

Life's Simple 7

Ideal cardiovascular health is associated with a decrease in adverse cardiovascular events. The My Research Legacy study examined ideal cardiovascular health using the Life’s Simple 7 survey and data from digital health devices. We hypothesized that digital devices provide a more objective view of overall cardiovascular health status than self-reported measures. Therefore, we analyzed weight and activity data recorded by digital devices to recalculate the Life’s Simple 7 Health Score. All study participants (n = 1561) answered the survey, while a subgroup (n = 390) provided data from digital devices. Individuals with digital devices had a lower body mass index (BMI) and higher weekly minutes of vigorous exercise than participants without digital devices (p < 0.01). Baseline Health Scores were higher in individuals with digital devices compared to those without (7.0 ± 1.6 vs. 6.6 ± 1.6, p < 0.01). Data from digital devices reveal both increases and decreases in measured vs. self-reported BMI (p < 0.04) and weekly minutes of moderate and vigorous exercise activity (p < 0.01). Using these data, a significant difference was found between the recalculated and the self-reported Life’s Simple 7 Health Score (p < 0.05). These findings suggest that incorporation of digital health devices should be considered as part of a precision medicinal approach to assessing ideal cardiovascular health.

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