An external focus of attention enhances manual tracking performance

The present study investigated the enhancement effects of an external focus of attention (FOA) in the context of a manual tracking task, in which participants tracked both visible and occluded targets. Three conditions were compared, which manipulated the distance of the FOA from the participant as well as the external/internal dimension. As expected, an external FOA resulted in lower tracking errors than an internal FOA. In addition, analyses of participants’ movement patterns revealed a systematic shift toward higher-frequency movements in the external FOA condition, consistent with the idea that an external FOA exploits the natural movement dynamics available during skilled action. Finally, target visibility did not influence the effect of focused attention on tracking performance, which provides evidence for the proposal that the mechanisms that underlie FOA do not depend directly on vision

The Destructive Draw of Historical Determinism

Historical determinism can be understood as the idea that future events are predestined, usually by an esoteric or economic force. This is accompanied by the belief that there is a certain group of enlightened people that know what this future outcome will be. These people are also often convinced that it is their duty to help bring about this historical synthesis. While there are different iterations of historical determinism that can be critiqued, this paper will be focusing on some of the most influential. Specifically, the connection between a historical determinism as imagined by Hegel which was then adapted into Marxist-Leninism and later Stalinism; the racial philosophy that motivative Nazism; and the fundamentalist religious apocalypticism that lies behind some versions of Christianity and Islam. This historical determinist viewpoint in these ideologies gives its adherents the belief that they hold the moral high ground, that victory is inevitable, and that their opposition is merely an obstacle to the ideal society that is to come. The attempted imposition of this way of thinking on others often leads to deadly results

Physical Activity Measures in the Healthy Communities Study

The risk of obesity is reduced when youth engage in recommended levels of physical activity (PA). For that reason, public health organizations in the U.S. have encouraged communities to implement programs and policies designed to increase PA in youth, and many communities have taken on that challenge. However, the long-term effects of those programs and policies on obesity are largely unknown. The Healthy Communities Study is a large-scale observational study of U.S. communities that is examining the characteristics of programs and policies designed to promote healthy behaviors (e.g., increase PA and improve diet) and determining their association with obesity-related outcomes. The purpose of this paper is to describe the methods used to measure PA in children and the personal and community factors that may influence it. The study used both self-reported and objective measures of PA, and measured personal, family, and home influences on PA via three constructs: (1) PA self-schema; (2) parental support; and (3) parental rules regarding PA. Neighborhood and community factors related to PA were assessed using three measures: (1) child perceptions of the neighborhood environment; (2) availability of PA equipment; and (3) attributes of the child’s street segment via direct observation. School influences on children’s PA were assessed via three constructs: (1) school PA policies; (2) child perceptions of the school PA environment; and (3) school outdoor PA environment. These measures will enable examination of the associations between characteristics of community PA programs and policies and obesity-related outcomes in children and youth

An Optimization approach to plant-controller co-design

Improving the behavior of a controlled mechanical device is traditionally accomplished by manipulating the parameters of the control system in isolation. If permitted, a better solution can be achieved by including the physical attributes of the mechanical structure as optimization variables. However, this expansion of the search space increases the importance of properly formulating the optimization problem to avoid undesirable behavior. Some modern (e.g. H∞) methods can be used to simultaneously optimize dynamic performance and robustness, but they require high levels of understanding and do not handle nonlinearities and arbitrary optimization constraints without additional augmentation. This work proposes and applies a method to add robustness to an optimized stabilizing controller and plant combination using constrained performance index optimization of chirp signal tracking. Using a chirp reference helps to improve the generality of the system response and ensures that resonant modes lay outside the useful range of input frequencies. Moreover, applying constraints on physical optimization parameters and their sensitivities helps to limit the solution space of a potentially high-dimensional problem while ensuring that the resultant system is both realizable and robust. An experimental platform for studying the process of toner ink fusion was modeled to demonstrate the effectiveness of the proposed method. For this system, combined optimization resulted in a performance index over 45% better than the result of optimizing the controller alone. Meanwhile, a worst-case robustness floor was maintained on several critical and uncertain system qualities

Highly Stereoselective Biocatalytic Synthesis of Key Cyclopropane Intermediate to Ticagrelor

Extending the scope of biocatalysis to important non-natural reactions such as olefin cyclopropanation will open new opportunities for replacing multistep chemical syntheses of pharmaceutical intermediates with efficient, clean, and highly selective enzyme-catalyzed processes. In this work, we engineered the truncated globin of Bacillus subtilis for the synthesis of a cyclopropane precursor to the antithrombotic agent ticagrelor. The engineered enzyme catalyzes the cyclopropanation of 3,4-difluorostyrene with ethyl diazoacetate on a preparative scale to give ethyl-(1R, 2R)-2-(3,4-difluorophenyl)-cyclopropanecarboxylate in 79% yield, with very high diastereoselectivity (>99% dr) and enantioselectivity (98% ee), enabling a single-step biocatalytic route to this pharmaceutical intermediate

The additionality of R&D tax policy: Quasi-experimental evidence

Despite the prevalence of R&D tax incentives, the amount of additional investment induced by each dollar of tax revenue forgone remains contested. It is notoriously difficult to identify the impact of R&D tax incentives because all firms are potentially eligible and because benefit and investment are jointly determined. Using comprehensive, firm-level data, we apply difference-in-difference analysis around a significant policy reform in Australia in 2012. We find that firms invest an additional $1.90 for every dollar of tax revenue forgone

Impact of deprivation and comorbidity on outcomes in emergency general surgery : an epidemiological study

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Directing Attention Externally Enhances Agility Performance: A Qualitative and Quantitative Analysis of the Efficacy of Using Verbal Instructions to Focus Attention

The primary purpose of this study was to investigate if focusing attention externally produced faster movement times compared to instructions that focused attention internally or a control set of instructions that did not explicitly focus attention when performing an agility task. A second purpose of the study was to measure participants’ focus of attention during practice by use of a questionnaire. Participants (N = 20) completed 15 trials of an agility “L” run following instructions designed to induce an external (EXT), internal (INT) attentional focus or a control (CON) set of instructions inducing no specific focus of attention. Analysis revealed when participants followed the EXT instructions they had significantly faster movement times compared to when they followed the INT and CON set of instructions; consistent with previous research the INT and CON movement times were not significantly different from each other. Qualitative data showed when participants were in the external condition they focused externally 67% of the time. When they were in the internal condition they focused internally 76% of the time, and when they were in the control condition they did not use an internal or external focus of attention 77% of the time. Qualitative data also revealed participants in the EXT, INT, and CON conditions switched their focus of attention at a frequency of 27, 35, and 51% respectively

Deep Modeling of Non-Gaussian Aleatoric Uncertainty

Deep learning offers promising new ways to accurately model aleatoric uncertainty in robotic estimation systems, particularly when the uncertainty distributions do not conform to traditional assumptions of being fixed and Gaussian. In this study, we formulate and evaluate three fundamental deep learning approaches for conditional probability density modeling to quantify non-Gaussian aleatoric uncertainty: parametric, discretized, and generative modeling. We systematically compare the respective strengths and weaknesses of these three methods on simulated non-Gaussian densities as well as on real-world terrain-relative navigation data. Our results show that these deep learning methods can accurately capture complex uncertainty patterns, highlighting their potential for improving the reliability and robustness of estimation systems.Comment: 8 pages, 7 figure

Correlation Between Lecture Engagement and Academic Performance in the UTRGV School of Medicine

Introduction: The landscape of medical education has witnessed significant changes in recent years, marked by a decline in both in-person lecture attendance and online lecture viewership. This trend is particularly notable in the post-COVID-19 era and raises important questions about the relationship between lecture engagement and academic performance among medical students. Our study seeks to investigate the correlation between lecture viewership and course performance, with a specific focus on the unique context of the UTRGV School of Medicine. Our primary objectives were to (1) evaluate the correlation between lecture viewership and academic performance and (2) examine the relationship between lecture engagement and academic outcomes based on the medical school year (MS1 and MS2). We hypothesized that performance would be related to lecture engagement in a discipline-related manner. Our findings aim to provide insights into the effectiveness of lecture engagement as a learning method and its potential influence on academic success in the unique context of the UTRGV School of Medicine. The results may serve as valuable guidance for administrative decisions regarding the optimization of lecture formats to better meet the needs of medical students. Methodology: Lecture engagement was evaluated by analyzing viewing data from Panopto, the UTRGV learning management system capture system. The study focused on the class of 2026 in the 2023 Renal and Male Reproduction (RMR) module. De-identified viewing data from the module was systematically categorized by discipline and week. We evaluated relationships with viewing data to corresponding performance overall and by discipline. Statistical analysis was conducted using SPSS. Results: Preliminary data from the Renal and Male Reproduction module suggests that total minutes of lecture viewing had a negative trend in relation to end of module performance (R=0.0135; slope = -0.2874). Notably, students performing above 90% were identified in both students who watched a substantial amount of lectures and those with minimal viewership. However, a positive trend was observed between online lecture engagement and performance on the quizzes, particularly in quiz 4 (R=0.0585, slope=87.575). Conclusions: In summary, our findings suggest that online lecture engagement correlates to a trend in increased quiz grades but decreased performance on the end-of-module exam. We attribute this pattern to the nature of assessments, with quizzes being professor-written and end-of-module exam questions sourced from an NBME standardized question bank. Also, it is worth noting that the higher scores associated with decreased lecture watching may point to active, in-class participation. Therefore, this negative trend may indicate a potential benefit of in-person lecture attendance and engagement. Moreover, reduced lecture engagement may suggest that those students could be utilizing self-study and alternative means of learning to fulfill course outcomes