Nutritional Practices of National Female Soccer Players: Analysis and Recommendations.

The aim of the study was to establish the nutritional practices and activity patterns of elite female soccer players. The nutritional intake of 16 female England Soccer players was self-reported over a seven-day period. Participants were provided with written and verbal guidelines for the completion of the diaries. Training details were also recorded, and used in combination with BMR predictions to calculate daily energy expenditure. Energy, macronutrient and micronutrient intakes were determined using DietMaster 4.0 software. Results suggest that energy intake was low (1904 ± 366.3 kcal) in relation to previous recommendations for soccer players. Energy expenditure (2153.5 ± 596.2 kcal) was not significantly different (p > 0.05) from intake, suggesting energy balance was achieved. Carbohydrate (53.8 ± 6.8%), protein (16.8 ± 2.1%) and fat (28.8 ± 6.6%) intakes were in line with recommendations. Fluid intake (2466 ± 1350.5ml·day-1) was sufficient to meet baseline recommendations, but would need to be higher to meet the additional requirement of training and competition. With the exception of vitamin A and iron, all micronutrient intakes were higher than the DRI. In conclusion, recommendations for female soccer players are to encourage consumption of carbohydrate-electrolyte beverages to enhance carbohydrate intake and increase fluid intake, and ensure sufficient iron rich foods are included in the diet to meet the DRI

Merits of Creating a Revised CTE National Research Agenda for 2020

This article promotes the idea that clearly focused scholarly inquiry needs direction developed through a collaborative and informative process. The authors propose that the National CTE Research Agenda adopted in 2008 should be revised and updated to reflect the contemporary issues and policies of the career and technical education profession. The aim of this discussion is to propose a systematic research approach with the potential to influence policy for career and technical education. The challenge for our profession will be to create a united and informed agenda that will transform policy, promote innovation in scholarly endeavors, and foster improved outcomes for all CTE stakeholders

Coffee House on the Left Bank

A dark cellar, bongo drums, gotesque shadows cast from small table candles upon an unfinished wall, and t he tingling smell of exciting coffee brews - this is the popular Beatnik espresso house

Effective Practices and Resources for Support of Beginning Teachers

School district-level, site-based support and effective mentoring and induction programs for new teachers can help new teachers’ self efficacy, dispositions and acquisition of knowledge and skills. In addition, sustained support may lower attrition rates, increase teacher effectiveness in the classroom, and save school districts money. School districts must intensify efforts to work with school administrators to provide effective support, guidance and orientation programs during the initial years of teaching. While induction programs vary considerably from state to state and across school districts, they are typically intended to increase teacher effectiveness in the classroom and impact teacher attrition rates

Coastal Louisiana: Adaptive Capacity in the Face of Climate Change

Extreme weather events can result in natural disasters, and climate change can cause these weather events to occur more often and with more intensity. Because of social and physical vulnerabilities, climate change and extreme weather often affect coastal communities. As climate change continues to be a factor for many coastal communities, and environmental hazards and vulnerability continue to increase, the need for adaptation may become a reality for many communities. However, very few studies have been done on the effect climate change and mitigation measures implemented in response to climate change have on a community’s adaptive capacity. This single instrumental case study will examine the effects of climate change and policy responses to climate change on the Pointe-au-Chien Indian Tribe located in Pointe aux Chenes, Louisiana, in order to discover how climate change affects the adaptive capacity of an indigenous population intricately tied to the surrounding ecosystem. This study will provide information on how the community plans to adapt to climate change, and the urban planning and hazard mitigation methods that can be used to facilitate the process. It also posits how government agencies can empower local communities to participate in mitigation planning, and provide local knowledge in order to make those plans more effective. As climate change continues to affect our coastal environments, it will continue to have an effect on our coastal communities. Understanding the strength and longevity of community adaptation in Pointe aux Chenes will help the community respond to the changes and increasing hazards in the environment. This understanding can be applied to all coastal communities facing similar challenges the world over

Headlines

Hats make the HEADlines this season for campus day and night wear. Coeds have taken to covering their locks around the clock with knits, furs and lace

Advanced Aerial Mapping with Computer Vision: Enhancing Aircraft Recognition, Location Estimation, and 3D Scene Comprehension using Monocular Depth Estimation and Deep Learning

In the realm of aviation, accurate aircraft recognition and localization are of paramount importance. This study delves into the application of computer vision in conjunction with aerial maps to enhance aircraft recognition, location estimation, and real-time tracking. The methodology focuses on developing an autonomous system for identifying and localizing aircraft, along with evaluating integrated computer vision against standalone methods. A significant part of the exploration focuses on monocular depth estimate (MDE), noted for its efficacy at extended ranges, cost efficiency, and simplicity. Merging MDE with deep learning, especially Convolutional Neural Networks, augments the understanding of a scene\u27s 3D structure, capturing depth for precise distance estimation. Preliminary results from ongoing efforts, including the inception of a neural network for bounding boxes and aircraft classification, indicate the potential for improved aircraft tracking in real-world airport settings, offering fresh insights into computer vision-enhanced aviation tracking

Monument in Glass

We pass through Gold Star Hall of the Memorial Union regularly on our way to class or the Commons. But many of us have never noticed the story told by 12 vibrantly colorful stained glass windows high on the walls