The effect of font type on sight word reading performance of 4th and 5th grade students with reading disabilities

Reading interventions are a crucial component to combat barriers associated with reading difficulties. Within the education realm, nearly 50% of students who receive special education supports have a Specific Learning Disability (Gargiulo, 2006). As a result, the development and implementation of effective and targeted interventions is critical. Christian Boer developed a font called Dyslexie to help remediate reading difficulties of individuals with Dyslexia (Boer, 2011). However, studies by de Leeuw (2010) and Pjipker (2013) provide inconsistent supportive evidence, regarding the effectiveness of Dyslexie. The current study sought to examine the effectiveness of Dyslexie as compared to Arial on sight word recognition tasks. A total of 36 fourth and fifth grade students with a Specific Learning Disability read two real word lists and one pseudoword lists in either font. Results do not suggest a significant difference between either font on sight word recognition tasks. Results, future directions, and implications for School Psychologists are discussed

Performance in Physical Education and Health Impairment 30 Years Later—A Community Based Cohort Study

Objective: A main purpose of physical education (PE) in school is to promote future health. However, there is very limited evidence of the effects of PE on the adult health. We hypothesized that a low performance in PE was associated with an increased risk of health impairment by middle age. Methods: We performed a cohort study in a community-based setting in Sweden spanning over three decades. We followed up on 1712 of 2225 students (76.9%) who in 1974–1976 graduated with a grade in PE after 9 years of education (mean subject age 16 years). The grade in PE (compulsory subject) was retrieved from municipal archives. We defined three proxies for health impairment: total number of visits to primary care physicians in 2003–2007, having been hospitalized 2003–2007, and total number of days with sick leave in 2004–2007. Using binomial regression models, we adjusted the risk estimates for level of education and occupation. Subjects with an average grade in PE served as reference category. Results: In both the crude and adjusted model, women with a low grade in PE had more physician visits (adjusted IRR 1.30, 95 % confidence interval 1.06–1.60) and an increased number of days with sick leave (adjusted IRR 1.44, 1.05–1.95). An increased, although not significant, risk was also observed for having received in-patient care (adjusted RR 1.26; 0.88–1.80). No significant results or similar pattern were observed in men. Conclusion: Women with a low grade in PE in adolescence seem to have an increased risk of health impairment by middl

Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment

A primary goal of the upcoming Deep Underground Neutrino Experiment (DUNE) is to measure the $\mathcal{O}(10)$ MeV neutrinos produced by a Galactic core-collapse supernova if one should occur during the lifetime of the experiment. The liquid-argon-based detectors planned for DUNE are expected to be uniquely sensitive to the $\nu_e$ component of the supernova flux, enabling a wide variety of physics and astrophysics measurements. A key requirement for a correct interpretation of these measurements is a good understanding of the energy-dependent total cross section $\sigma(E_\nu)$ for charged-current $\nu_e$ absorption on argon. In the context of a simulated extraction of supernova $\nu_e$ spectral parameters from a toy analysis, we investigate the impact of $\sigma(E_\nu)$ modeling uncertainties on DUNE's supernova neutrino physics sensitivity for the first time. We find that the currently large theoretical uncertainties on $\sigma(E_\nu)$ must be substantially reduced before the $\nu_e$ flux parameters can be extracted reliably: in the absence of external constraints, a measurement of the integrated neutrino luminosity with less than 10\% bias with DUNE requires $\sigma(E_\nu)$ to be known to about 5%. The neutrino spectral shape parameters can be known to better than 10% for a 20% uncertainty on the cross-section scale, although they will be sensitive to uncertainties on the shape of $\sigma(E_\nu)$. A direct measurement of low-energy $\nu_e$-argon scattering would be invaluable for improving the theoretical precision to the needed level.Comment: 25 pages, 21 figure

Dimethyl fumarate in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial

Dimethyl fumarate (DMF) inhibits inflammasome-mediated inflammation and has been proposed as a treatment for patients hospitalised with COVID-19. This randomised, controlled, open-label platform trial (Randomised Evaluation of COVID-19 Therapy [RECOVERY]), is assessing multiple treatments in patients hospitalised for COVID-19 (NCT04381936, ISRCTN50189673). In this assessment of DMF performed at 27 UK hospitals, adults were randomly allocated (1:1) to either usual standard of care alone or usual standard of care plus DMF. The primary outcome was clinical status on day 5 measured on a seven-point ordinal scale. Secondary outcomes were time to sustained improvement in clinical status, time to discharge, day 5 peripheral blood oxygenation, day 5 C-reactive protein, and improvement in day 10 clinical status. Between 2 March 2021 and 18 November 2021, 713 patients were enroled in the DMF evaluation, of whom 356 were randomly allocated to receive usual care plus DMF, and 357 to usual care alone. 95% of patients received corticosteroids as part of routine care. There was no evidence of a beneficial effect of DMF on clinical status at day 5 (common odds ratio of unfavourable outcome 1.12; 95% CI 0.86-1.47; p = 0.40). There was no significant effect of DMF on any secondary outcome

Highly-parallelized simulation of a pixelated LArTPC on a GPU

The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on 10^3 pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype

Dimethyl fumarate in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial

Dimethyl fumarate (DMF) inhibits inflammasome-mediated inflammation and has been proposed as a treatment for patients hospitalised with COVID-19. This randomised, controlled, open-label platform trial (Randomised Evaluation of COVID-19 Therapy [RECOVERY]), is assessing multiple treatments in patients hospitalised for COVID-19 (NCT04381936, ISRCTN50189673). In this assessment of DMF performed at 27 UK hospitals, adults were randomly allocated (1:1) to either usual standard of care alone or usual standard of care plus DMF. The primary outcome was clinical status on day 5 measured on a seven-point ordinal scale. Secondary outcomes were time to sustained improvement in clinical status, time to discharge, day 5 peripheral blood oxygenation, day 5 C-reactive protein, and improvement in day 10 clinical status. Between 2 March 2021 and 18 November 2021, 713 patients were enroled in the DMF evaluation, of whom 356 were randomly allocated to receive usual care plus DMF, and 357 to usual care alone. 95% of patients received corticosteroids as part of routine care. There was no evidence of a beneficial effect of DMF on clinical status at day 5 (common odds ratio of unfavourable outcome 1.12; 95% CI 0.86-1.47; p = 0.40). There was no significant effect of DMF on any secondary outcome

Font Fails to Improve Reading on Assessment Tasks

Dyslexie is a font type that was created specifically to address the challenges that individuals with Dyslexia face. This font-type consists of distinctive characteristics in each letter that are suggested to be more easily distinguishable from one another, such as a bolded bottom portion of each letter, additional inter-letter spacing, a greater x-height, and capitalized letters that are slightly italicized and bolded. Although the author claims that it improves the reading performance of individuals with Dyslexia, the literature on its effectiveness is conflicting. The current study investigates the effectiveness of Dyslexie compared to two commonly used fonts on readers’ comprehension and errors while reading meaningful text as well as performance on rapid automatic naming tasks. Thirty-six fourth and fifth grade students with a Specific Learning Disability in reading were identified from two rural counties in Virginia. We developed two real word lists and one pseudoword list that were highly correlated with the word list from the Kaufman Test of Educational Achievement, second edition, and were presented in either Arial or Dyslexie font. Additionally, we developed three 200-word stories modeled on the Qualitative Reading Inventory, which were written at the fourth grade reading level, as measured by the Flesch-Kincaid Grade Level Scores. We presented each story in Arial, Times New Roman, or Dyslexie font, and had three comprehension questions that followed each passage. We gave each participant the Rapid Automatic Naming and Orthographic Processing subtests from the Feifer Assessment of Reading. Using a counter-balanced design, we exposed each participant to two lists of words, a pseudoword list, and three stories in varying font types. When controlling for orthographic processing, we found no significant differences by font between the number of errors committed while reading real-word lists, as well as the number of words read correctly on pseudoword lists in in either font. We found no differences between Arial, Times New Roman, or Dyslexie for participants’ committed errors, reading speed, or comprehension. Overall, no significant differences were found among reading tasks and fonts. The current study controlled for characteristics that are believed to impact the reading process, such as font size and the spacing between letters, words, and lines. It is possible that Dyslexie’s impact on readability may be a result of such factors, rather than the font style itself. It is also possible that benefits of this font are present for individuals familiar with it. While we found no support for Dyslexie, we also did not find it to be detrimental to readers. If readers appreciate the aesthetic characteristics of Dyslexie, our results suggest that they can use it with no reduction in comprehension, speed, or accuracy. Future studies should look at the effectiveness of font alterations during sustained reading tasks and interest in the font style. Additionally, further research into the automatic recognition of words is warranted, to help provide literature regarding the cognitive impact of font styles

Thigh-length compression stockings and DVT after stroke

Controversy exists as to whether neoadjuvant chemotherapy improves survival in patients with invasive bladder cancer, despite randomised controlled trials of more than 3000 patients. We undertook a systematic review and meta-analysis to assess the effect of such treatment on survival in patients with this disease