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4,413 result(s) for "Matt, R"
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Training at maximal power in resisted sprinting: Optimal load determination methodology and pilot results in team sport athletes
In the current study we investigated the effects of resisted sprint training on sprinting performance and underlying mechanical parameters (force-velocity-power profile) based on two different training protocols: (i) loads that represented maximum power output (Lopt) and a 50% decrease in maximum unresisted sprinting velocity and (ii) lighter loads that represented a 10% decrease in maximum unresisted sprinting velocity, as drawn from previous research (L10). Soccer [n = 15 male] and rugby [n = 21; 9 male and 12 female] club-level athletes were individually assessed for horizontal force-velocity and load-velocity profiles using a battery of resisted sprints, sled or robotic resistance respectively. Athletes then performed a 12-session resisted (10 × 20-m; and pre- post-profiling) sprint training intervention following the L10 or Lopt protocol. Both L10 and Lopt training protocols had minor effects on sprinting performance (average of -1.4 to -2.3% split-times respectively), and provided trivial, small and unclear changes in mechanical sprinting parameters. Unexpectedly, Lopt impacted velocity dominant variables to a greater degree than L10 (trivial benefit in maximum velocity; small increase in slope of the force-velocity relationship), while L10 improved force and power dominant metrics (trivial benefit in maximal power; small benefit in maximal effectiveness of ground force orientation). Both resisted-sprint training protocols were likely to improve performance after a short training intervention in already sprint trained athletes. However, widely varied individualised results indicated that adaptations may be dependent on pre-training force-velocity characteristics.
Toxoplasma gondii virulence factor ROP1 reduces parasite susceptibility to murine and human innate immune restriction
Toxoplasma gondii is an intracellular parasite that can infect many host species and is a cause of significant human morbidity worldwide. T . gondii secretes a diverse array of effector proteins into the host cell which are critical for infection. The vast majority of these secreted proteins have no predicted functional domains and remain uncharacterised. Here, we carried out a pooled CRISPR knockout screen in the T . gondii Prugniaud strain in vivo to identify secreted proteins that contribute to parasite immune evasion in the host. We demonstrate that ROP1, the first-identified rhoptry protein of T . gondii , is essential for virulence and has a previously unrecognised role in parasite resistance to interferon gamma-mediated innate immune restriction. This function is conserved in the highly virulent RH strain of T . gondii and contributes to parasite growth in both murine and human macrophages. While ROP1 affects the morphology of rhoptries, from where the protein is secreted, it does not affect rhoptry secretion. Finally, we show that ROP1 co-immunoprecipitates with the host cell protein C1QBP, an emerging regulator of innate immune signaling. In summary, we identify putative in vivo virulence factors in the T . gondii Prugniaud strain and show that ROP1 is an important and previously overlooked effector protein that counteracts both murine and human innate immunity.
Payoff : the hidden logic that shapes our motivations
\"Payoff investigates the true nature of motivation, our partial blindness to the way it works, and how we can bridge this gap. With studies that range from Intel to a kindergarten classroom, Ariely digs deep to find the root of motivation--how it works and how we can use this knowledge to approach important choices in our own lives. Along the way, he explores intriguing questions such as: Can giving employees bonuses harm productivity? Why is trust so crucial for successful motivation? What are our misconceptions about how to value our work? How does your sense of your mortality impact your motivation?\"--Baker & Taylor.
Hands-On Microservices with C#
In this book, we will show you how to report and reclaim memory, how to send and receive messages, and how to report and monitor the health of your entire microservice ecosystem. By the end of this book, you will be confident enough to develop a sturdy microservice architecture that works in a production setting--all by using the efficiency of C#.
Red Hood and the Outlaws. Volume 7, Last call
\"The concluding volume to New York Times best-selling author Scott Lobdell's run is here in RED HOOD AND THE OUTLAWS VOL. 7. Batman's former sidekick Jason Todd, now known as the Red Hood, and his running mate Arsenal find their fellow Outlaw, Starfire, missing in action. After discovering who the villainous forces are behind her capture, Jason turns to the only thing he knows can overcome them: venom, the dangerous drug that turns Batman's rogue Bane into a superpowered killer! Can a superpowered Red Hood overcome Starfire's kidnappers--and himself in the process? The final fate of Red Hood and the Outlaws is here in RED HOOD AND THE OUTLAWS VOL. 7. Collects issues #35-40\"-- Provided by publisher.
Mobile Artificial Intelligence Projects
Artificial intelligence (AI) is rapidly becoming the most popular topic in business and science. This book introduces AI concepts and their use cases with a hands-on and application-focused approach. We will cover a range of projects covering tasks such as automated reasoning, facial recognition, digital assistants, auto text generation, and more.
X-Men Blue. Vol. 4, Cry havok
With the original five X-Men lost in space, Emma Frost, Havok, Bastion and Miss Sinister hatch their devious plans -- and unleash Project: Mothervine! Meanwhile, Jimmy Hudson and Bloodstorm feel the wrath of Polaris -- once again a victim of the body-stealing Malice! And with his mutant charges missing, Magneto mobilizes against his enemies. His first target: Sebastian Shaw! But Magneto will soon come face-to-face with Havok -- with the fate of mutantkind hanging in the balance! The original five's absence means a new team of X-Men must take their place. But as the lethal Marauders strike, Magneto is forced to make a terrible decision -- one that leads him ever closer to the darkness he has tried to put behind him! And some of the newest new X-Men might not make it out alive!
Methods of Power-Force-Velocity Profiling During Sprint Running: A Narrative Review
The ability of the human body to generate maximal power is linked to a host of performance outcomes and sporting success. Power-force-velocity relationships characterize limits of the neuromuscular system to produce power, and their measurement has been a common topic in research for the past century. Unfortunately, the narrative of the available literature is complex, with development occurring across a variety of methods and technology. This review focuses on the different equipment and methods used to determine mechanical characteristics of maximal exertion human sprinting. Stationary cycle ergometers have been the most common mode of assessment to date, followed by specialized treadmills used to profile the mechanical outputs of the limbs during sprint running. The most recent methods use complex multiple-force plate lengths in-ground to create a composite profile of over-ground sprint running kinetics across repeated sprints, and macroscopic inverse dynamic approaches to model mechanical variables during over-ground sprinting from simple time-distance measures during a single sprint. This review outlines these approaches chronologically, with particular emphasis on the computational theory developed and how this has shaped subsequent methodological approaches. Furthermore, training applications are presented, with emphasis on the theory underlying the assessment of optimal loading conditions for power production during resisted sprinting. Future implications for research, based on past and present methodological limitations, are also presented. It is our aim that this review will assist in the understanding of the convoluted literature surrounding mechanical sprint profiling, and consequently improve the implementation of such methods in future research and practice.