Defiance College

Youth athletes are beginning to specialize in a single sport more often. Previous studies in sports medicine and orthopedics have shown an association between intensity of sport specialization and incidence of injuries. This study is the first of its kind to explore the effects of early sport specialization on injury risk through a multicenter framework with a concentration on NCAA athletics. Retrospective cohort study. SAFE Consortium. A total of 211 collegiate athletes from the NCAA's 3 levels of competition: Division I, II, and III. Data were collected by the SAFE investigators. N/A. Participants completed a questionnaire about their demographics, sport participation, specialization status, physical injuries, recovery period, and treatment method. Specialization status was calculated with a previously published 3-point scale: low, moderate, and high. Injuries were categorized as upper extremity injuries (UEIs) and lower extremity injuries (LEIs). Highly specialized athletes were more likely to report UEIs and LEIs than low specialized athletes ( P < 0.0001). Moderate specialization, in contrast to low specialization, was associated with a higher likelihood of LEIs ( P = 0.03) but not UEIs ( P = 0.052). Highly specialized athletes were more likely to report an injury of any kind. The SAFE investigators found high specialization was associated with a history of UEIs and LEIs. Return to play was longer for highly specialized athletes versus low specialized athletes (112 days and 85 days, respectively). Highly specialized athletes were more likely to be from Division I and to require surgery.

Cation exchange capacity (CEC – cmol (+) kg−1) is the capacity of a soil to hold exchangeable cations, one of which is exchangeable potassium (K). The data from both CEC and exchangeable cations are frequently useful for fertiliser recommendations; however, they are expensive to measure in the laboratory. To add value to limited CEC and K data, digital data can be beneficial where large amounts can be acquired expeditiously and are often strongly correlated. In this research, we seek to develop a linear regression (LR) between apparent soil electrical conductivity (ECa – mS m–1) from Veris-3100 shallow (0 – 0.3 m) and deep (0 – 0.9 m) array configurations and measured topsoil (0 – 0.2 m) and subsoil (0.5 – 0.7 m) CEC. Moreover, we compare these LRs, with a LR between estimates of σ derived from the inversion of ECa using a quasi-three-dimensional algorithm (invVeris V1.1) and topsoil and subsoil CEC. We also want to determine the minimum number of calibration sample sites (i.e., 45, 40, 35, …, 5) required to produce a strong LR (i.e., coefficient of determination: R2 > 0.7) and substantial (Lin’s concordance correlation coefficient; LCCC > 0.8) or consistent prediction agreement. This requires dividing the n = 60 sample sites into calibration (n = 45) and validation (n = 15) sets. A similar approach was used to develop a multiple LR (MLR) to predict topsoil K considering digital data (i.e., ECa, elevation and trend surface parameters). While the LRs between topsoil CEC with shallow ECa (R2 = 0.38), and subsoil CEC with deep ECa (0.36) were weak (0.5 > R2 > 0.3), the LR (0.75) between σ and CEC was strong (using the S2 algorithm and a damping factor [λ] = 1). A poor LR (0.47) was also found between K and ECa; however, a MLR model (ECa, elevation and trend surface parameters) was strong (0.73). In terms of minimum calibration sample size for CEC, it was found that n = 10 sites (i.e., at 2 depths) or more were required. With respect to K, the minimum calibration sample size was n = 10 (i.e., single depth). To improve calibration equations and areal prediction agreement of CEC and K, and reduce confidence intervals (CI) across the four fields, we recommend the use of tighter transect spacings (< 6 m), and the inclusion of soil (i.e., small CEC and K) and digital (e.g., small ECa) data from adjacent fields and on nearby farms. The final DSM of CEC and K could be used to prescribe potash (K2O) fertilisers.

Detecting brain tumors is an active area of research in brain image processing. This paper proposes a methodology to segment and classify brain tumors using magnetic resonance images (MRI). Convolutional Neural Networks (CNN) are one of the effective detection methods and have been employed for tumor segmentation. We optimized the total number of layers and epochs in the model. First, we run the CNN with 1000 epochs to see its best-optimized number. Then we consider six models, increasing the number of layers from one to six. It allows seeing the overfitting according to the number of layers.

ABSTRACTThis paper analyzes the initial seasons of two reality podcasts, Gimlet Media’s StartUp and Stable Genius’ ZigZag in relation to neoliberalism and entrepreneurialism of the self. It demonstrates how these for-profit podcasts documenting the launching of private companies represent the culmination of longterm historical processes in the public media sector and U. S society more broadly. It argues that the leveraging of public radio expertise and capital to launch reality soundwork programs promoting for-profit media companies is symptomatic of a broader shift in American cultural towards entrepreneurship of the self. These programs, and the companies and personalities behind them, are thus emblematic of both a distinct phase in the development of podcasting as a medium and the pervasiveness of market fundamentalist ideologies in contemporary U. S society.

Welcome to Annals of Global Health,Annals of Global Health is a peer-reviewed, fully open access, online journal dedicated to publishing high quality articles dedicated to all aspects of global health. The journal's mission is to advance global health, promote research, and foster the prevention and treatment of disease worldwide. Its goals are to improve the health and well-being of all people, advance health equity, and promote wise stewardship of the earth's environment. The latest journal impact factor is 3.64.Annals of Global Health is supported by the Program for Global Public Health and the Common Good at Boston College. It was founded in 1934 by the Icahn School of Medicine at Mount Sinai as the Mount Sinai Journal of Medicine. It is a partner journal of the Consortium of Universities for Global Health. Authors of articles accepted for publication in Annals of Global Health will be asked to pay an Article Publication Charge (APC) to cover publication costs. This charge can normally be sourced from your funder or institution. We are committed to supporting authors from all countries to publish their work in Annals of Global Health regardless of national income level, and to achieve this goal, we waive the Article Publication Charge for manuscripts where all authors are from low-income or lower-middle-income countries (as defined by the World Bank). From time to time, Annals of Global Health publishes Special Collections, a series of articles organized around a common theme in global health. Recent Special Collections have included “Strengthening Women’s Leadership in Global Health”, “Decolonizing Global Health Education”, and “Capacity Building for Global Health Leadership Training”. Global health workers interested in developing a Special Collection are strongly encouraged to contact the Managing Editor in advance to discuss the project.

Cet article s’interroge, sur la base de comparaisons internationales, sur les raisons que l’on peut trouver à l’importance de la défiance à la fois dans l’école et dans la société française. Il propose des hypothèses à cet égard, sur la base desquelles il essaie d’indiquer quelques caractéristiques d’une expérience scolaire ou d’un fonctionnement de l’école susceptibles d’accroître la confiance entre les acteurs de l’école ainsi que de construire des citoyens enclins à faire confiance aux autres, tout en étant aussi capables d’une certaine vigilance.

Two studies were conducted to determine if the Reread-Adapt and Answer-Comprehend (RAAC) repeated reading fluency intervention is effective in improving the reading achievement of deaf middle school and high school students. Participants included six middle school students and eight high school students. We found consistently good comprehension during the interventions sessions and consistent improvement in ability to read fluently increasingly more difficult passages in both studies. We also found statistical and practical significance for pre- and post-tests on the Woodcock-Johnson for reading comprehension for the high school students but not for the middle school students and no statistical significance for reading fluency in either study.

While recent times have witnessed a surge of foreign direct investment (FDI) inflows into the developing world, these inflows remain below optimal levels. In this article, we use data on African, Asian, and Latin American economies to investigate the role of political risk and macroeconomic uncertainty—stemming from the foreign exchange market—as determinants of the patterns of FDI. Moreover, given the low share of FDI going into African economies, we place special attention on the differential impact of these variables on FDI flows into Africa. The results of this study point to the fact that, in general, political risk and exchange rate uncertainty reduce FDI. However, it is shown that the impact of political risk is more severe for FDI flowing into African economies.