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With advances in computing power and deep learning, image-based pose estimation has become a viable tool for quantitative motion analysis. Compared to sensor-based systems, vision-based approaches are cost-effective, portable, and easy to deploy. However, when applied to golf swings, conventional similarity measures often fail to match expert perception, as they rely on static, frame-wise posture comparisons and require strict temporal alignment. We propose a Dynamic Motion Similarity Measurement (DMSM) framework that segments a swing into seven canonical phases—address, takeaway, half, top, impact, release, and finish—and evaluates the dynamic trajectories of joint keypoints within each phase. Unlike traditional DTW- or frame-based methods, our approach integrates continuous motion trajectories and normalizes joint coordinates to account for player body scale differences. Motion data are interpolated to improve temporal resolution, and numerical integration quantifies path differences, capturing motion flow rather than isolated postures. Quantitative experiments on side-view swing datasets show that DMSM yields stronger discrimination between same- and different-player pairs (phase-averaged separation: 0.092 vs. 0.090 for the DTW + cosine baseline) and achieves a clear biomechanical distinction in spine-angle trajectories (Δ = 38.68). Statistical analysis (paired t-test) confirmed that the improvement was significant (p < 0.05), and coach evaluations supported perceptual alignment. Although DMSM introduces a minor computational overhead (≈169 ms), it delivers more reliable phase-wise feedback and biomechanically interpretable motion analysis. This framework offers a practical foundation for AI-based golf swing analysis and real-time feedback systems in sports training, demonstrating improved perceptual consistency, biomechanical interpretability, and computational feasibility.

In the late '90s, third-wave ska broke across the American alternative music scene like a tsunami. In sweaty clubs across the nation, kids danced themselves dehydrated to the peppy rhythms and punchy horns of bands like The Mighty Mighty Bosstones and Reel Big Fish. As ska caught fire, a swing revival brought even more sharp-dressed, brass-packing bands to national attention. Hell of a Hat dives deep into this unique musical moment. Prior to invading the Billboard charts and MTV, ska thrived from Orange County, California, to NYC, where Moon Ska Records had eager rude girls and boys snapping up every release. On the swing tip, retro pioneers like Royal Crown Revue had fans doing the jump, jive, and wail long before The Brian Setzer Orchestra resurrected the Louis Prima joint. Drawing on interviews with heavyweights like the Bosstones, Sublime, Less Than Jake, and Cherry Poppin' Daddies-as well as underground heroes like Mustard Plug, The Slackers, Hepcat, and The New Morty Show-Kenneth Partridge argues that the relative economic prosperity and general optimism of the late '90s created the perfect environment for fast, danceable music that-with some notable exceptions-tended to avoid political commentary. An homage to a time when plaids and skankin' were king and doing the jitterbug in your best suit was so money, Hell of a Hat is an inside look at '90s ska, swing, and the loud noises of an era when America was dreaming and didn't even know it.

\"...Bobbie and Bill Malone secure the Riders' rightful place in country music history, recounting the story of their remarkable journey, which simultaneously entertained millions of people and revived the venerable American tradition of the singing cowboy.\" --Ken Burns and Dayton Duncan, creators of PBS's Country Music For almost five.

This paper, based on a combination of numerical analysis and experimental testing methods, conducts a mechanical performance analysis and experimental research on a HighPressure Swing Component for a Swing-After-the-Pump rocket engine. Taking into account the nonlinearities due to material properties, geometric configurations, and boundary conditions, the paper establishes a numerical analysis model for the High-Pressure Swing Component to study its mechanical characteristics. The fatigue life of the High-Pressure Swing Component is assessed using a strain-corrected Manson-Coffin formula. On this basis, a high-pressure swing test is conducted to effectively simulate actual working boundaries and load conditions, and to perform fatigue life testing. By comparing numerical simulation results with experimental data, the validity of the finite element simulation is verified. Additionally, the actual oscillating torque is obtained and the product’s fatigue life is evaluated, providing significant experimental data for the development of the Swing-After-the-Pump rocket engine.

We examined the effects of adding a Kettlebell Swing training program (KB) to the regular skill-training protocol (REGULAR) on cardiorespiratory fitness, cardiorespiratory/metabolic demand, and recovery to a simulated competition of female artistic gymnastics. Nine gymnasts (13±2 years) had their REGULAR complemented with a 4-week kettlebell training (REGULAR+KB), consisting of 3 sessions/week of 12x30” swings x 30” rest with ¼ of their body weight, while 9 aged-matched gymnasts acted as a comparison group. Peak oxygen uptake () during routines was estimated from the O2 recovery curve using backward extrapolation and off-kinetics parameters were modeled through a mono-exponential function. Heart rate (HR) was monitored continuously and capillary blood lactate (BLa-) was measured before and after each routine (1st and 3rd min). Cardiorespiratory fitness () was evaluated using a ramp cycle ergometer test. A training-by-time interaction effect was observed for (p = 0.009) as increments were only observed after REGULAR+KB (M = 8.85, SD = 9.67 ml.kg.min-1). No training-by-time interactions were observed for HRpeak (p = 0.39), (p = 0.07), or La-post3 (p = 0.25), both training protocols reduced HRpeak (M = -12; SD = 11 b.min-1) and BLa-post1 (M = -0.70; SD = 1.29 mmol.L-1) during the simulated competition, but not relative . No training-by-time interaction was observed for the off-transient time constant (p = 0.38). recovery was slower (M = 5; SD = 10 s) after both protocols. Both training protocols improved cardiorespiratory and metabolic demands and recovery kinetics to a simulated competition of female artistic gymnastics, although increases in cardiorespiratory fitness were only observed in REGULAR+KB.

Reduction of CO2 from waste gases from various industries is now desired worldwide. As a technology for separating CO2 from mixed gases, Pressure Swing Adsorption (PSA) is one of the practical processes that are widely used at present owing to the simplicity of its gas separation mechanism. In order to reduce the cost of CO2 separation, a further reduction of the running cost of CO2-PSA operation is required. Among all the utilities used in CO2-PSA, electric power consumption has the greatest impact, especially in cases where the pressure swing range between gas adsorption and gas desorption is large. Electric power consumption increases significantly when the pressure loss inside the adsorber has reached a non-negligible level. Changing the adsorbent pellet size is a convenient method for reducing pressure loss, but its effect on CO2-PSA performance was unclear. Therefore, in this work, the effects of the size of the adsorbent pellets on both the gas adsorption behavior and the electric power consumption in CO2-PSA were evaluated experimentally. From the results of laboratory-scale CO2-PSA experiments and gas adsorption rate measurements, it was observed that the effect of the pellet size appeared only in the early stage of the gas adsorption step and was not dominant when the cycle time was sufficiently long. Subsequently, pilot-scale CO2-PSA experiments with the same CO2 throughput were also conducted, and as a result, the electric power consumption of a vacuum pump was lowered by 15% in case of using d = 3.0 mm larger adsorbent pellets compared to the results with d = 1.5 mm smaller adsorbent pellets.

Understanding swing leg behavior is essential for modeling human gait and developing control strategies for assistive devices. Many previous studies have captured walking dynamics via a spring-based model. While previous SLIP-based walking models have investigated stiffness modulation with gait speed, other critical parameters, particularly swing leg rest length, have been largely overlooked. In this study, we present a modified swing leg model that incorporates both a variable rest length and a torsional spring at the hip, building on a previously proposed single-mass linear spring model. Simulation results showed that the proposed model effectively replicated the overall trends of swing leg dynamics with significantly improved accuracy compared to previous models. Furthermore, a strong correlation (r > 0.8) was observed between gait speed and the modulation of rest length, similar to the correlation observed for leg stiffness. These biomechanical findings highlight that all spring parameters related to swing leg motion are modulated with gait speed, supporting the use of spring-based modeling in motion planning for bipedal robots and exoskeletons.

The interest in and need for carbon-free fuels that do not rely on fossil fuels are constantly growing from both environmental and energetic perspectives. Green hydrogen production is at the core of the transition away from conventional fuels. Along with popularly investigated pathways for hydrogen production, thermochemical water splitting using redox materials is an interesting option for utilizing thermal energy, as this approach makes use of temperature looping over the material to produce hydrogen from water. Herein, two-step thermochemical water splitting processes are discussed and the key aspects are analyzed using the most relevant information present in the literature. Redox materials and their compositions, which have been proven to be efficient for this reaction, are reported. Attention is focused on non-volatile redox oxides, as the quenching step required for volatile redox materials is unnecessary. Reactors that could be used to conduct the reduction and oxidation reaction are discussed. The most promising materials are compared to each other using a multi-criteria analysis, providing a direction for future research. As evident, ferrite supported on yttrium-stabilized zirconia, ceria doped with zirconia or samarium and ferrite doped with nickel as the core and an yttrium (III) oxide shell are promising choices. Isothermal cycling and lowering of the reduction temperature are outlined as future directions towards increasing hydrogen yields and improving the cyclability.

The conceptual design and techno-economic assessment of Pressure Swing Adsorption (PSA) for the recovery of H2, CO2, and CO from steel making Blast Furnace-Basic Oxygen Furnace and Coke Oven off-gases, major contributors to anthropogenic carbon emissions, are presented. Three PSA units are modeled on Aspen Adsorption V14, each utilising dedicated adsorbents and configurations tailored for the target gas. Model validation is successfully conducted by comparing breakthrough simulation results with experimental data. The simulation results demonstrate that the PSA systems effectively separate H2 (99.3% purity, 80% recovery), CO (98% purity, 87% recovery), and CO2 (96.9% purity, 75% recovery) from steelmaking off-gases. Meanwhile, the techno-economic assessment indicates that the PSA systems are economically viable, with competitive costs of £2768/tH2, £52.78/tCO, and £16.89/tCO2 captured, making them an effective solution for gas separation in the steel industry.