Learn why your hips feel stiff and how to fix it with these expert-recommended movements for maximum mobility. Breakthroughs, discoveries, and DIY tips sent six days a week. For the largest muscle group in the body, glutes get relatively little attention outside their cosmetic contributions. Bridges, squats, and kickbacks help develop size and shape, but they paint an incomplete picture; for total hip health and function, your regimen should include a wide variety of movements. This includes glute stretches that take your body's second-most mobile joint through its fullest possible range of motion. "Our hips are where we move from.

The Trump administration's pressure on European regulators is having an impact, with fewer restrictions on Big Tech and canceled measures. Almost everything is on hiatus. The EU AI Act, Digital Services Act, and Digital Markets Act are all at risk. The European Commission is preparing to end the year with virtually no movement on its most important tech policy initiatives. Many measures may even be reversed.

Shaded regions indicate 95% confidence intervals.

Is hip tightness to blame for your back or knee pain? The cool tattoos are optional. Breakthroughs, discoveries, and DIY tips sent every weekday. Because, even among those of us who exercise regularly, the further we get from childhood the more limited our varieties of movement typically become, leading to weaker muscles, brittler bones and less mobile joints. "We don't move laterally as much anymore, as we get older and we're not playing sports. Even if you're long-distance running, you're just moving in one plane [of motion]," says Patrick Suarez, OCS, SCS, a physical therapist based in Albany, New York.

Flexibility is an essential part of staying fit. Breakthroughs, discoveries, and DIY tips sent every weekday. In your efforts to exercise, chances are you've worked on improving the four components of physical fitness. The problem is there are actually five . Criminally overlooked in the pursuit of big-ticket goals like strength, endurance, lung capacity and body composition is flexibility.

Shaded regions indicate 95% confidence intervals.

Accurate event detection is key to the successful design of semi-passive and powered prosthetics. Kinematically, the natural knee is complex, with translation and rotation components that have a substantial impact on gait characteristics. When simplified to a pin joint, some of this behaviour is lost. This study investigates the role of cruciate ligament stretch in event detection. A bicondylar knee design was used, constrained by analogues of the anterior and posterior cruciate ligaments. This offers the ability to characterize knee kinematics by the stretch of the ligaments. The ligament stretch was recorded using LVDTs parallel to the ligaments of the Russell knee on a bent knee crutch. Which was used to capture data on a treadmill at 3 speeds. This study finds speed dependence within the stretch of the cruciate ligaments, prominently around 5\% and 80\% of the gait cycle for the posterior and anterior. The cycle profile remains consistent with speed; therefore, other static events such as the turning point feature at around 90\% and 95\% of the cycle, for the posterior and anterior, respectively, could be used as a predictive precursor for initial contact. Likewise at 90\% and 95\%, another pair of turning points that in this case could be used to predict foot flat. This concludes that the use of a bicondylar knee design could improve the detection of events during the gait cycle, and therefore could increase the accuracy of subsequent controllers for powered prosthetics.

Madeline Gardner is the youngest American person to get a Hero Arm, the world's first multi-grip bionic arm for children. Kicking a ball or climbing stairs with ease after a leg amputation above the knee is now within reach. Researchers at MIT have developed a bionic knee that redefines mobility for above-the-knee amputees. The result is faster, smoother, and more natural movement. Led by Professor Hugh Herr, the MIT team created a solution that doesn't just mimic motion, it responds to intent.

On Sunday, our thoughtful and reserved president reposted on his Truth Social site a video generated by artificial intelligence that falsely showed former President Obama being arrested and imprisoned. There are those among you who think this is high humor; those among you who who find it as tiresome as it is offensive; and those among you blissfully unaware of the mental morass that is Truth Social. Whatever camp you fall into, the video crosses all demographics by being expected -- just another crazy Trump stunt in a repetitive cycle of division and diversion so frequent it makes Groundhog Day seem fresh. But there are three reasons why this particular video -- not made by the president but amplified to thousands -- is worth noting, and maybe even worth fearing. First, it is flat-out racist. In it, Obama is ripped out of a chair in the Oval Office and forced onto his knees, almost bowing, to a laughing Trump.

Purpose: Research has revealed that strength training can reduce the incidence of chronic diseases and physical deterioration at any age. Therefore, having a movement diagnostic system is crucial for training alone. Hence, this study developed an artificial intelligence and computer vision-based barbell squat coaching system with a real-time mode that immediately diagnoses the issue and provides feedback after each squat. In addition, a replay mode allows users to examine their previous squats and check their comments. Initially, four primary characteristics of the barbell squat were identified: body joint angles, dorsiflexion, the ratio of knee-to-hip movement, and barbell stability. Methods: We collect 8,151 squats from 77 participants, categorizing them as good squats and six issues. Then, we trained the diagnosis models with three machine-learning architectures. Furthermore, this research applied the SHapley Additive exPlanations (SHAP) method to enhance the accuracy of issue prediction and reduce the computation time by feature selection. Results: The F1 score of the six issues reached 86.86%, 69.01%, 77.42%, 90.74%, 95.83%, and 100%. Each squat diagnosis took less than 0.5 seconds. Finally, this study examined the efficacy of the proposed system with two groups of participants trained with and without the system. Subsequently, participants trained with the system exhibited substantial improvements in their squat technique, as assessed both by the system itself and by a professional weightlifting coach. Conclusion: This is a comprehensive study that integrates artificial intelligence, computer vision and multivariable processing technologies, aimed at building a real-time, user-friendly barbell squat feedback and training system.