Hypertension is a risk factor for cardiovascular disease, and exercise has cardioprotective effects on the heart. However, the mechanism by which exercise affects hypertension-induced myocardial injury remains unclear. Exercise response model of hypertension-induced myocardial injury in mice was analyzed using multiomics data to identify potential factors. The study found that serum Ca2+ and brain natriuretic peptide concentrations were significantly higher in the HTN (hypertension) group than in the control, HTN+MICT (moderate intensity continuous exercise), and HTN+HIIT (high intensity intermittent exercise) groups. Cardiac tissue damage and fibrosis increased in the HTN group, but exercise training reduced pathological changes, with more improvement in the HTN+HIIT group. Transcriptomic and proteomic studies showed significant differences in CACNA2D1 expression between the different treatment groups. HIIT ameliorated HTN-induced myocardial injury in mice by decreasing Ca2+ concentration and diastolizing vascular smooth muscle by downregulating CACNA2D1 via exercise.

We carried out a meta-analysis on the effect of cardiac rehabilitation (CR) on cardiopulmonary function after coronary artery bypass grafting (CABG). Four databases were searched for studies comparing CR with control. A random-effects model was used to pool mean difference (MD). The meta-analysis showed an increase in peak oxygen consumption (peak VO2) (MD = 1.93 mL/kg/min, p = 0.0006), and 6-min walk distance (6MWD) (MD = 59.21 m, p < 0.00001), and a decrease in resting heart rate (resting HR) (MD = 5.68 bpm, p < 0.0001) in the CR group. The subgroup analysis revealed aerobic exercise could further improve resting HR and peak HR, and physical/combination with aerobic exercise could further increase 6MWD. The improvement of peak VO2, workload, resting HR, peak HR, and 6MWD regarding CR performed within one week after CABG is greater than that one week after CABG. CR after CABG can improve the cardiopulmonary function, which is reflected by the improvement of peak VO2, 6MWD, and resting HR.

The positive impact of mind-body movement therapy on mental health has been confirmed, but the current effect of various mind-body movement-specific therapies on improving the negative psychology of college students is controversial. This study compared the effects of six mind-body exercise (MBE) therapies on improving negative psychological symptoms in college students. The study found that Tai Chi (standardized mean difference [SMD] = -0.87, 95% confidence interval [CI] (-1.59, -0.15), p < 0.05), yoga (SMD = -0.95, 95% CI (-1.74, -0.15), p < 0.05), Yi Jin Jing (SMD = -1.15, 95% CI (-2.36, -0.05), p=<0.05), Five Animal Play (SMD = -1.1, 95% CI (-2.09, -0.02), p < 0.05), and Qigong Meditation (SMD = -1.31, 95% CI (-2.2, -0.4), p < 0.05) improved depressive symptoms in college students (p < 0.05). Tai Chi (SMD = -7.18, 95% CI (-13.18, -1.17), p = 0.019), yoga (SMD = -6.8, 95% CI (-11.79, -1.81), p = 0.008), and Yi Jin Jing (SMD = -9.21, 95% CI (-17.55, -0.87), p = 0.03) improved college students\' anxiety symptoms. It shows that the six MBE therapies are effective in improving anxiety and depression in college students.

Type 2 diabetes mellitus (T2DM) usually develop myocardial injury and that exercise may have a positive effect on cardiac function. However, the effect of exercise intensity on cardiac function has not yet been fully examined. This study aimed to explore different exercise intensities on T2DM-induced myocardial injury. 18-week-old male mice were randomly divided into four groups: a control group, the T2DM, T2DM + medium-intensity continuous training (T2DM + MICT), and T2DM + high-intensity interval training (T2DM + HIIT) groups. In the experimental group, mice were given high-fat foods and streptozotocin for six weeks and then divided into two exercise training groups, in which mice were subjected to exercise five days per week for 24 consecutive weeks. Finally, metabolic characteristics, cardiac function, myocardial remodeling, myocardial fibrosis, oxidative stress, and apoptosis were analyzed. HIIT treatment improved cardiac function and improved myocardial injury. In conclusion, HIIT may be an effective means to guard against T2DM-induced myocardial injury.

Rapidly repositioning finite element human body models (FE-HBMs) with high biofidelity is an important but notorious problem in vehicle safety and injury biomechanics. We propose to reposition the FE-HBM in a dummy-like manner, i.e., through pose parameters prescribing joint configurations. Skeletons are reconfigured along the trajectories inferred from model-specific bone geometries. We leverage differential geometry to steer equidistant moves along the congruent articulated bone surfaces. Soft tissues are subsequently adapted to reconfigured skeletons through a series of operations. The morph-contact algorithm allows the joint capsule to slide and wrap around the repositioned skeletons. Nodes on the deformed capsule are redistributed following an optimization-based approach to enhance element regularity. The soft tissues are transformed accordingly via thin plate spline. The proposed toolbox can reposition the Total Human Body Model for Safety (THUMS) in a few minutes on a whole-body level. The repositioned models are simulation-ready, with mesh quality maintained on a comparable level to the baseline. Simulations of car-to-pedestrian impact with repositioned models exhibiting active collision-avoidance maneuvers are demonstrated to illustrate the efficacy of our method. This study offers an intuitive, effective, and efficient way to reposition FE-HBMs. It benefits all posture-sensitive works, e.g., out-of-position occupant safety and adaptive pedestrian protection. Pose parameters, as an intermediate representation, join our method with recently prosperous perception and reconstruction techniques of the human body. In the future, it is promising to build a high-fidelity digital twin of real-world accidents using the proposed method and investigate human biomechanics therein, which is of profound significance in reshaping transportation safety studies in the future.

Few studies have focused on the effect of fatigue severity on landing strategy. This study aimed to investigate the effect of fatigue progression on ground reaction force during landing. Eighteen participants performed a fatigue exercise protocol. Then participants performed drop landings at three levels of fatigue: no fatigue, medium fatigue, and severe fatigue. Multiple linear regression was conducted to identify the predictors of the peak vertical ground reaction force at each level of fatigue. Two-way ANOVAs were conducted to test the effect of fatigue on the vertical ground reaction force and the predictors. For the vertical ground reaction force, the knee joint stiffness and the knee angle at initial contact were the main predictors at no fatigue. The peak knee flexion angle and knee power were the main predictors at medium fatigue. However, the peak ankle plantarflexion moments became the main predictor at severe fatigue. The vertical ground reaction force decreased from no to medium fatigue (p = 0.001), and then increased from medium to severe fatigue (p = 0.034). The knee joint stiffness decreased from no to medium fatigue (p = 0.049), and then remained unchanged from medium to severe fatigue. The peak knee flexion angle increased from no to medium fatigue (p = 0.001), and then slightly decreased from medium to severe fatigue (p = 0.051). The results indicate that fatigue progression causes a transition from stiff to soft landing, and then to stiff landing. Participants used ankle joints more to control the landing intensity at severe fatigue.

In this work, pattern recognition and characterization of the neuromuscular dynamics of driver upper limb during naturalistic driving were studied. During the human-in-the-loop experiments, two steering tasks, namely, the passive and active steering tasks, were instructed to be completed by the subjects. Furthermore, subjects manipulated the steering wheel with two distinct postures and six different hand positions. The neuromuscular dynamics of subjects\' upper limb were measured using electromyogram signals, and the behavioral data, including the steering torque and steering angle, were also collected. Based on the experimental data, patterns of muscle activities during naturalistic driving were investigated. The correlations, amplitudes, and responsiveness of the electromyogram signals, as well as the smoothness and regularity of the steering torque were discussed. The results reveal the mechanisms of neuromuscular dynamics of driver upper limb and provide a theoretical foundation for the design of the future human-machine interface for automated vehicles.

Virtual reality (VR) has advanced rapidly and is used for many entertainment and business purposes. The need for secure, transparent and non-intrusive identification mechanisms is important to facilitate users\' safe participation and secure experience. People are kinesiologically unique, having individual behavioral and movement characteristics, which can be leveraged and used in security sensitive VR applications to compensate for users\' inability to detect potential observational attackers in the physical world. Additionally, such method of identification using a user\'s kinesiological data is valuable in common scenarios where multiple users simultaneously participate in a VR environment. In this paper, we present a user study (n = 15) where our participants performed a series of controlled tasks that require physical movements (such as grabbing, rotating and dropping) that could be decomposed into unique kinesiological patterns while we monitored and captured their hand, head and eye gaze data within the VR environment. We present an analysis of the data and show that these data can be used as a biometric discriminant of high confidence using machine learning classification methods such as kNN or SVM, thereby adding a layer of security in terms of identification or dynamically adapting the VR environment to the users\' preferences. We also performed a whitebox penetration testing with 12 attackers, some of whom were physically similar to the participants. We could obtain an average identification confidence value of 0.98 from the actual participants\' test data after the initial study and also a trained model classification accuracy of 98.6%. Penetration testing indicated all attackers resulted in confidence values of less than 50% (<50%), although physically similar attackers had higher confidence values. These findings can help the design and development of secure VR systems.

For fencing, speed of the lunge is considered critical to success. The aim of this study is to investigate determinants of lunge speed based on biomechanics. Ground reaction force (GRF) and three-dimensional kinematic data were collected from 7 elite fencers and 12 intermediate-level fencers performing maximum-effort lunges. The results showed that elite fencers acquired a higher horizontal peak velocity of the centre of gravity (HPV) and concomitantly a higher horizontal peak GRF exerted by rear leg (PGRF) than intermediate-level fencers (P < .01). Studying the affecting factors, elite fencers obtained higher joint peak power, joint peak moment, and range of motion of rear knee than intermediate-level fencers (P < .05) during the lunge, and these parameters were significantly correlated with both HPV and PGRF (P < .05). Both elite and intermediate-level fencers had joint flexion before the extension in forward knee; however, the latter showed greater flexion, higher peak angular velocity and less time for extension compared to the former (P ≤ .05). Our findings suggest that training aimed at enhancing strength and power of rear knee extensors is important for fencers to improve speed of the lunge. Also, increasing the extension of rear knee during the lunge, at the same time decreasing the flexion of the forward knee before extension are positive for lunge performance.

This research aimed to define the key factors in freestyle flip turns via a kinesiology analysis to diagnose swimmers. Hence, specially designed drills were created to improve swimmers\' flip-turn skills and assess the effects of training. Nine Chinese national modern pentathlon athletes ranging in age from 20 to 26 years with an average of 10 years of training experience were tested and trained in this study. The Kistler Performance Analysis System for Swimming was used for the pre- and post-test analyses. A kinesiology analysis of the data from the pre-test was used for the diagnosis and specific drills were adopted for 10 weeks, 3 times per week before the post-test. The comparison of the pre- and post-test performances was used to assess the effects of training. After 10 weeks of specific drill training for flip turns, participants\' turning skills significantly improved. Speed in approaching, somersaulting, pushing-off and gliding all increased. The angles of the knees and hips as well as the force applied improved, which contributed to swimmers\' increased speed. Since the skills needed for a flip turn are complex and not easily diagnosed via observation alone, this kinesiology analysis will make diagnosis objective and easy.