Distracted Pedestrians: Looking Left?

Distracted pedestrians, those talking or texting on phones as examples, are potentially at risk when crossing urban intersections. They may lack traffic awareness of risk as distracted drivers often do. The transportation field has limited data on distracted pedestrians. This study aimed to contribute to the literature by observing pedestrian behaviors at four urban-area, downtown crosswalks over five weeks in June-July 2021. Overall, 2,055 pedestrians were observed, with 25.4% being distracted. Common distractions were texting, talking on a cell phone, and using headphones. Chi-square analyses found that while distraction did not predict looking left, one behavior that keeps them out of harm’s way in the United States, women who were distracted looked left less often than men, an atypical gender difference in the traffic safety literature. These and other results are discussed in terms of the next steps for increasing pedestrian safety.https://digitalcommons.odu.edu/reu2021_psychology/1007/thumbnail.jp

Preliminary geochemical analysis of asbestos minerals from geological and archaeological contexts in Finnmark, north Norway Evaluating the potential for sourcing tempers in asbestos ceramics

Source at http://www.sarks.fi/masf/masf_10/masf_10.html.This is a preliminary study of the potential for sourcing asbestos minerals used as temper in ceramics from Early Metal Age sites in Finnmark, northern Norway. Energy dispersive spectroscopy (EDS/EDX) is used to analyze samples from geological sources and archaeological sites. Although tempers were highly portable, the results of the analysis mostly indicate local procurement, however non-local sources are possible in some cases

Model-assisted deep learning of rare extreme events from partial observations

To predict rare extreme events using deep neural networks, one encounters the so-called small data problem because even long-term observations often contain few extreme events. Here, we investigate a model-assisted framework where the training data is obtained from numerical simulations, as opposed to observations, with adequate samples from extreme events. However, to ensure the trained networks are applicable in practice, the training is not performed on the full simulation data; instead we only use a small subset of observable quantities which can be measured in practice. We investigate the feasibility of this model-assisted framework on three different dynamical systems (Rossler attractor, FitzHugh-Nagumo model, and a turbulent fluid flow) and three different deep neural network architectures (feedforward, long short-term memory, and reservoir computing). In each case, we study the prediction accuracy, robustness to noise, reproducibility under repeated training, and sensitivity to the type of input data. In particular, we find long short-term memory networks to be most robust to noise and to yield relatively accurate predictions, while requiring minimal fine-tuning of the hyperparameters.Comment: Accepted for publication in Chaos: An Interdisciplinary Journal of Nonlinear Scienc

Expanding a Supercomputer Facility Using Modular Data Center Technology

With the expansion of high-end computing resources needed to support NASA's increasing demands for physics-based simulations, the facility housing Pleiades-the agency's largest supercomputer-recently reached its power and cooling capacity. In response, the NASA Advanced Supercomputing Division at Ames Research Center undertook a prototype project that resulted in a new facility based on modular data center technology. The facility, a ~1000 square-foot module on a concrete pad with room for 16-18 compute racks, was completed in fall 2016 and an SGI computer system, named Electra, was deployed there in early 2017. Cooling is performed via an evaporative system built into the module, and preliminary experience shows a Power Usage Effectiveness (PUE) of ~1.03. Electra achieved over a petaflop on the LINPACK benchmark, sufficient to rank number 96 on the November 2016 TOP500 list. The system consists of 1,152 InfiniBand-connected Intel Xeon Broadwell-based nodes. Its users access their files on a facility wide file system shared by all compute assets via Mellanox MetroX InfiniBand extenders, which connect the Electra fabric to Lustre routers InfiniBand fabric over fiber-optic links about 300 meters long. The prototype has exceeded expectations and is serving as a blueprint for future expansions.

Improving response rates using a monetary incentive for patient completion of questionnaires: an observational study

Background: Poor response rates to postal questionnaires can introduce bias and reduce the statistical power of a study. To improve response rates in our trial in primary care we tested the effect of introducing an unconditional direct payment of 5 pound for the completion of postal questionnaires. Methods: We recruited patients in general practice with knee problems from sites across the United Kingdom. An evidence-based strategy was used to follow-up patients at twelve months with postal questionnaires. This included an unconditional direct payment of 5 pound to patients for the completion and return of questionnaires. The first 105 patients did not receive the 5 pound incentive, but the subsequent 442 patients did. We used logistic regression to analyse the effect of introducing a monetary incentive to increase the response to postal questionnaires. Results: The response rate following reminders for the historical controls was 78.1% ( 82 of 105) compared with 88.0% ( 389 of 442) for those patients who received the 5 pound payment (diff = 9.9%, 95% CI 2.3% to 19.1%). Direct payments significantly increased the odds of response ( adjusted odds ratio = 2.2, 95% CI 1.2 to 4.0, P = 0.009) with only 12 of 442 patients declining the payment. The incentive did not save costs to the trial - the extra cost per additional respondent was almost 50 pound. Conclusion: The direct payment of 5 pound significantly increased the completion of postal questionnaires at negligible increase in cost for an adequately powered study

Claims against third-party recipients of trust property

This article argues that claims to recover trust property from third parties arise in response to a trustee's duty to preserve identifiable property, and that unjust enrichment is incompatible with such claims. First, unjust enrichment can only assist with the recovery of abstract wealth and so it does not assist in the recovery of specific property. Second, it is difficult to identify a convincing justification for introducing unjust enrichment. Third, it will work to the detriment of innocent recipients. The article goes on to show how Re Diplock supports this analysis, by demonstrating that no duty of preservation had been breached and that a proprietary claim should not have been available in that case. The simple conclusion is that claims to recover specific property and claims for unjust enrichment should be seen as mutually exclusive

Mice with altered serotonin 2C receptor RNA editing display characteristics of Prader–Willi syndrome

RNA transcripts encoding the 2C-subtype of serotonin (5HT2C) receptor undergo up to five adenosine-to-inosine editing events to encode twenty-four protein isoforms. To examine the effects of altered 5HT2C editing in vivo, we generated mutant mice solely expressing the fully-edited (VGV) isoform of the receptor. Mutant animals present phenotypic characteristics of Prader-Willi Syndrome (PWS) including a failure to thrive, decreased somatic growth, neonatal muscular hypotonia, and reduced food consumption followed by post-weaning hyperphagia. Though previous studies have identified alterations in both 5HT2C receptor expression and 5HT2C-mediated behaviors in both PWS patients and mouse models of this disorder, to our knowledge the 5HT2C gene is the first locus outside the PWS imprinted region in which mutations can phenocopy numerous aspects of this syndrome. These results not only strengthen the link between the molecular etiology of PWS and altered 5HT2C expression, but also demonstrate the importance of normal patterns of 5HT2C RNA editing in vivo

Analysis of Known Bacterial Protein Vaccine Antigens Reveals Biased Physical Properties and Amino Acid Composition

Many vaccines have been developed from live attenuated forms of bacterial pathogens or from killed bacterial cells. However, an increased awareness of the potential for transient side-effects following vaccination has prompted an increased emphasis on the use of sub-unit vaccines, rather than those based on whole bacterial cells. The identification of vaccine sub-units is often a lengthy process and bioinformatics approaches have recently been used to identify candidate protein vaccine antigens. Such methods ultimately offer the promise of a more rapid advance towards preclinical studies with vaccines. We have compared the properties of known bacterial vaccine antigens against randomly selected proteins and identified differences in the make-up of these two groups. A computer algorithm that exploits these differences allows the identification of potential vaccine antigen candidates from pathogenic bacteria on the basis of their amino acid composition, a property inherently associated with sub-cellular location