602 research outputs found

    Examining the Effects of Mindfulness Training on Executive Functioning in Older Adults

    Get PDF
    Research in cognitive aging provides extensive evidence of age-related cognitive decline. To better understand the extent of cognitive plasticity in the adult years, researchers have developed interventions designed to improve and maintain cognitive functioning. Research in mindfulness training as a cognitive intervention has demonstrated improvements in attention and working memory performance in young adults, but it remains to be determined whether these effects are observed in older adult populations. In this study, we conducted a randomized control trial to investigate whether mindfulness training improves executive functioning and working memory in community-dwelling older adults. Twenty-seven older adults (ages 60-75) participated in either a low-dose version of the Mindfulness Based Stress Reduction course or a lifestyle education course. Performance between groups was compared on several standardized neuropsychological tasks of visuospatial attention, set-shifting, and working memory. Mindfulness training resulted in a marginally significant improvement in attentional orienting, but no significant improvements in working memory or set-shifting abilities relative to the active control group. Results suggest that mindfulness training may enhance attentional functioning, but further research is needed to determine the cognitive effects of mindfulness training for older adults.Center for Clinical & Translational Science, The Ohio State UniversityNo embarg

    Optimizing Data Collection in Deep Reinforcement Learning

    Full text link
    Reinforcement learning (RL) workloads take a notoriously long time to train due to the large number of samples collected at run-time from simulators. Unfortunately, cluster scale-up approaches remain expensive, and commonly used CPU implementations of simulators induce high overhead when switching back and forth between GPU computations. We explore two optimizations that increase RL data collection efficiency by increasing GPU utilization: (1) GPU vectorization: parallelizing simulation on the GPU for increased hardware parallelism, and (2) simulator kernel fusion: fusing multiple simulation steps to run in a single GPU kernel launch to reduce global memory bandwidth requirements. We find that GPU vectorization can achieve up to 1024×1024\times speedup over commonly used CPU simulators. We profile the performance of different implementations and show that for a simple simulator, ML compiler implementations (XLA) of GPU vectorization outperform a DNN framework (PyTorch) by 13.4×13.4\times by reducing CPU overhead from repeated Python to DL backend API calls. We show that simulator kernel fusion speedups with a simple simulator are 11.3×11.3\times and increase by up to 1024×1024\times as simulator complexity increases in terms of memory bandwidth requirements. We show that the speedups from simulator kernel fusion are orthogonal and combinable with GPU vectorization, leading to a multiplicative speedup.Comment: MLBench 2022 ( https://memani1.github.io/mlbench22/ ) camera ready submissio

    An organic nanoparticle transistor behaving as a biological synapse

    Full text link
    Molecule-based devices are envisioned to complement silicon devices by providing new functions or already existing functions at a simpler process level and at a lower cost by virtue of their self-organization capabilities. Moreover, they are not bound to von Neuman architecture and this feature may open the way to other architectural paradigms. Neuromorphic electronics is one of them. Here we demonstrate a device made of molecules and nanoparticles, a nanoparticle organic memory filed-effect transistor (NOMFET), which exhibits the main behavior of a biological spiking synapse. Facilitating and depressing synaptic behaviors can be reproduced by the NOMFET and can be programmed. The synaptic plasticity for real time computing is evidenced and described by a simple model. These results open the way to rate coding utilization of the NOMFET in dynamical neuromorphic computing circuits.Comment: To be publsihed in Adv. Func. Mater. Revised version. One pdf file including main paper and supplementary informatio

    Ethanol and Acetaminophen Synergistically Induce Hepatic Aggregation and TCH346-Insensitive Nuclear Translocation of GAPDH

    Get PDF
    The glycolytic enzyme glyceraldehyde-3-phosphate dehydrogenase (GAPDH) signals during cellular stress via several post-translational modifications that change its folding properties, protein-protein interactions and sub-cellular localization. We examined GAPDH properties in acute mouse liver injury due to ethanol and/or acetaminophen (APAP) treatment. Synergistic robust and time-dependent nuclear accumulation and aggregation of GAPDH were observed only in combined, but not individual, ethanol/APAP treatments. The small molecule GAPDH-targeting compound TCH346 partially attenuated liver damage possibly via mitochondrial mechanisms, and independent of nuclear accumulation and aggregation of GAPDH. These findings provide a novel potential mechanism for hepatotoxicity caused by combined alcohol and acetaminophen exposure

    Echocardiographic diagnosis of right aortic arch with a retroesophageal segment and left descending aorta

    Full text link
    Two-dimensional echocardiography has been used extensively to assess aortic arch anatomy in infants and children. Echocardiographic techniques for examination of left and right aortic arch, coarctation and interruption of the aorta, aortic aneurysm and double aortic arch have been well described.1,2 Right aortic arch with retroesophageal segment and left descending aorta, an unusual form of vascular ring, has been described using angiography, barium swallow and computed axial tomography.3-5 In this report, we describe 2-dimensional (2-D) echocardiographic findings in an infant with this unusual form of vascular ring.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/26188/1/0000267.pd

    Systematically Variable Planktonic Carbon Metabolism Along a Land-To-Lake Gradient in a Great Lakes Coastal Zone

    Get PDF
    During the summers of 2002–2013, we measured rates of carbon metabolism in surface waters of six sites across a land-to-lake gradient from the upstream end of drowned river-mouth Muskegon Lake (ML) (freshwater estuary) to 19 km offshore in Lake Michigan (LM) (a Great Lake). Despite considerable inter-year variability, the average rates of gross production (GP), respiration (R) and net production (NP) across ML (604 ± 58, 222 ± 22 and 381 ± 52 µg C L−1 day−1, respectively) decreased steeply in the furthest offshore LM site (22 ± 3, 55 ± 17 and −33 ± 15 µg C L−1day−1, respectively). Along this land-to-lake gradient, GP decreased by 96 ± 1%, whereas R only decreased by 75 ± 9%, variably influencing the carbon balance along this coastal zone. All ML sites were consistently net autotrophic (mean GP:R = 2.7), while the furthest offshore LM site was net heterotrophic (mean GP:R = 0.4). Our study suggests that pelagic waters of this Great Lakes coastal estuary are net carbon sinks that transition into net carbon sources offshore. Reactive and dynamic estuarine coastal zones everywhere may contribute similarly to regional and global carbon cycles

    Hemodynamic determinants of exercise-induced ST-Segment depression in children with valvar aortic stenosis

    Full text link
    To evaluate the hemodynamic factors associated with treadmill-induced ST-segment depression in children with valvar aortic stenosis, 12 patients (mean age 13 years) with ST-segment depression during treadmill exercise and 5 patients (mean age 13 years) without ST-segment depression during treadmill exercise underwent exercise testing during cardiac catheterization. The left ventricular (LV) systolic pressure and LV outflow tract gradient at rest (177 +/- 25 vs 138 +/- 8 mm Hg and 59 +/- 18 vs 23 +/- 7 mm Hg, respectively) and corresponding pressures during maximal supine exercise (248 +/-37 vs 189 +/- 17 mm Hg and 112 +/- 34 vs 52 +/- 14 mm Hg) were significantly greater (p 2 supply-demand ratio during maximal supine exercise was significantly less (6.4 +/- 2.7 vs 11.8 +/- 0.7; p 2 supply-demand ratio less than 11.0 was 100% sensitive and specific in predicting treadmill-induced ST-segment depression. These results suggest that although the development of ST-segment depression during treadmill exercise is related to LV systolic pressure and LV outflow gradient, its major hemodynamic determinant is the LV-02 supply-demand ratio.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/25706/1/0000260.pd
    • …
    corecore