Live Coding YouTube - PAT showcase 2017 (Screen Recording)

<p>This is a screen recording of the premiere performance <em>Live Coding YouTube</em>, presented at the Performing Arts and Technology annual showcase, March 2017, McIntosh Theatre, University of Michigan, Ann Arbor. The following is a blurb used for the program note.</p> <p>Music listening has changed greatly with the emergence of music streaming services, such as Spotify or Youtube. However, did it inspire us to make new experimental music? <em>Live Coding YouTube</em> is a response to the anticipation of novel performance practices using streaming media. A live coder uses any available video from YouTube, a video streaming service, as source material to perform an improvised audiovisual piece. The challenge is to manipulate the emerging media that are streamed from a networked service given the limited functionality of the API provided. The piece finds parallels in early experimental music that manipulates magnetic tape and vinyl records. On the contrary, the audiovisual space that a musician can explore on the fly is practically infinite. The performance system is built entirely on a web browser and publicly available in the following address: https://livecodingyoutube.github.io/</p

Ultrafast Dynamics Show That the Theophylline and 3-Methylxanthine Aptamers Employ a Conformational Capture Mechanism for Binding Their Ligands

RNAs often exhibit a high degree of conformational dynamics and heterogeneity, leading to a rugged energy landscape. However, the roles of conformational heterogeneity and rapid dynamics in molecular recognition or RNA function have not been extensively elucidated. Ultrafast time-resolved fluorescence spectroscopic experiments were used here to probe picosecond dynamics of the theophylline-binding RNA aptamer. These studies showed that multiple conformations are populated in the free RNA, indicating that this aptamer employs a conformational capture mechanism for ligand binding. The base on residue 27 in an internal loop exists in at least three conformational states in the free RNA, including binding competent and incompetent states that have distinct fluorescence decay signatures indicating different base stacking interactions. Picosecond dynamics were also detected by anisotropy experiments, where these motions indicate additional dynamics for base 27. The picosecond data show that theophylline binding shifts the equilibrium for conformations of base 27 from primarily stacked in the free RNA to mostly unstacked in the RNA−theophylline complex, as observed in the previous NMR structure. In contrast, base 10 in a second internal loop is mostly preorganized in the free RNA, consistent with it being stacked between G11 and G25, as is observed in the bound state. Picosecond dynamics were also measured on a modified aptamer that binds with higher affinity to 3-methylxanthine than theophylline. The modified aptamer shows less heterogeneity in the aptamer−3-methylxanthine complex than what is observed in the theophylline aptamer−theophylline complex

Summary of the result of regression analysis of functional connectivity in RSFN pairs showing significant group-by-age interaction.

<p>SE: standard error, CI: confidence interval estimated with bootstrapping, q value: calculated for the correction for multiple comparisons using false discovery rate; aDMN-pDMN/prec: Regression: F = 6.72, df = 7, p<0.001; Residual: df = 27, SE = 0.17; Multiple R-squared: 0.62, Adjusted R-squared: 0.53.</p><p>Sensory/motor-SN: Regression: F = 4.50, df = 5, p = 0.003; Residual: df = 31, SE = 0.20; Multiple R-squared: 0.42, Adjusted R-squared: 0.33.</p

Correlation of rsRAI with aDMN-pDMN/prec functional connectivity.

<p>rsRAI: resource allocation index in resting state; aDMN: anterior default mode network; pDMN/prec: precuneus part of posterior default mode network.</p

Aberrant Development of Functional Connectivity among Resting State-Related Functional Networks in Medication-Naïve ADHD Children

<div><p>Objective</p><p>The aim of this study was to investigate the compromised developmental trajectory of the functional connectivity among resting-state-related functional networks (RSFNs) in medication-naïve children with attention-deficit/hyperactivity disorder (ADHD).</p><p>Subjects and Methods</p><p>Using both independent component analysis and dual regression, subject-specific time courses of 12 RSFNs were extracted from both 20 medication-naïve children with ADHD, and 20 age and gender-matched control children showing typical development (TDC). Both partial correlation coefficients among the 12 RSFNs and a resting-state resource allocation index (rsRAI) of the salience network (SN) were entered into multiple linear regression analysis to investigate the compromised, age-related change in medication-naïve ADHD children. Finally, correlation analyses were performed between the compromised RSFN connections showing significant group-by-age interaction and rsRAI of SN or clinical variables.</p><p>Results</p><p>Medication-naïve ADHD subjects failed to show age-related increment of functional connectivity in both rsRAI of SN and two RSFN connections, SN-Sensory/motor and posterior default mode/precuneus network (pDMN/prec) – anterior DMN. Lower SN-Sensory/motor connectivity was related with higher scores on the ADHD Rating Scale, and with poor scores on the continuous performance test. The pDMN/prec-aDMN connectivity was positively related with rsRAI of SN.</p><p>Conclusions</p><p>Our results suggest that medication-naïve ADHD subjects may have delayed maturation of the two functional connections, SN-Sensory/Motor and aDMN-pDMN/prec. Interventions that enhance the functional connectivity of these two connections may merit attention as potential therapeutic or preventive options in both ADHD and TDC.</p></div

Behavioral and cognitive symptoms.

<p>T-test.</p><p>The higher the subscale score of CBCL, the more problematic. *The better cognitive performance means lower continuous performance test scores, and higher digit span and finger window test scores.</p

Summary of the result of regression analysis of resource allocation index in resting state (rsRAIs) showing a significant group-by-age interaction.

<p>SE: standard error, CI: confidence interval estimated with bootstrapping (type = BCa: bias-corrected, accelerated confidence intervals <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0083516#pone.0083516-Efron1" target="_blank">[54]</a>);</p><p>Bonferroni corrected P<0.0125; rFP-SN-pDMN/prec: Regression: F = 3.14, df = 5, p = 0.02; Residual: df = 34, SE = 0.38; Multiple R-squared: 0.31, Adjusted R-squared: 0.21; lFP-SN-pDMN/prec: Regression: F = 4.76, df = 5, p = 0.002; Residual: df = 34, SE = 0.37; Multiple R-squared: 0.41, Adjusted R-squared: 0.33.</p

Subject Characteristics.

<p>P<.05,</p><p>P<.001.</p

Data_Sheet_1_Effects of vibrotactile feedback on yoga practice.PDF

Participating in physical exercise using remote platforms is challenging for people with vision impairment due to their lack of vision. Thus, there is a need to provide nonvisual feedback to this population to improve the performance and safety of remote exercise. In this study, the effects of different nonvisual types of feedback (verbal, vibrotactile, and combined verbal and vibrotactile) for movement correction were tested with 22 participants with normal vision to investigate the feasibility of the feedback system and pilot tested with four participants with impaired vision. The study with normal-vision participants found that nonvisual feedback successfully corrected an additional 11.2% of movements compared to the no-feedback condition. Vibrotactile feedback was the most time-efficient among other types of feedback in correcting poses. Participants with normal vision rated multimodal feedback as the most strongly preferred modality. In a pilot test, participants with impaired vision also showed a similar trend. Overall, the study found providing vibrotactile (or multimodal) feedback during physical exercise to be an effective way of improving exercise performance. Implications for future training platform development with vibrotactile or multimodal feedback for people with impaired vision are discussed.</p

Twelve spatially independent resting-state-related functional networks (RSFNs).

<p>From left-upper to right-lower part: RSFN1: Frontal; RSFN2: Sensory/motor; RSFN3: Salience (SN, Ventral attentional); RSFN4: Right central executive (rCEN); RSFN5: Left central executive network (lCEN); RSFN6: Dorsal attentional (dAtt); RSFN7: V1; RSFN8: V1/V2; RSFN9: Extrastriate; RSFN10: a temporooccipital part of posterior DMN (pDMN/TO); RSFN11: a precuneus part of Posterior default mode (pDMN/prec); RSFN12: Anterior default mode (aDMN). Radiologic orientation (left is right). MNI coordinates of RSFNs were presented in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0083516#pone.0083516.s003" target="_blank">Table S1</a>.</p