Different Types Of Motion Research Articles

Multi-region coupling computational fluid dynamics simulation of the underground compressed air energy storage process

Compressed air energy storage (CAES) in underground spaces is a common method for addressing the instability of renewable energy generation. As the construction and testing of CAES systems are often of high cost, the numerical simulation which offers a more efficient and low-cost research method can provide a better alternative to research the process. In this study, a numerical simulation model has been developed to describe the air movement within the CAES process. Specifically, the study focuses on two different types of motion: air compressible flow within the cavern and air porous flow in the surrounding rock. Using OpenFOAM, a multi-region coupling solver has been developed to address the different governing equations for these two types of motion, and couples pressure, velocity, and temperature at the boundaries. The developed solver is used to simulate a field test of a CAES system. The numerical simulation results closely match the experimental data, verifying the reliability of the solver. Moreover, the solver can achieve multi-region flow simulations that are previously unattainable, resulting in more accurate simulations. Simulations have also been conducted to analyze various working conditions, including different rock permeability, porosity, and air injection mass rates. The results show that different conditions significantly affect air pressure, leakage rate, temperature, and flow field changes within the cavern. These simulation results and the underlying mechanisms have been analyzed to provide reference and technical support for site selection, construction, and operational strategies of CAES systems in underground spaces.

Negotiating Safety by Movements: Articulation, Alignment and Separation between Train Driving and Railway Traffic Controlling Activities

This article explores the negotiation of safety between two distinct activity systems that operate jointly on a daily basis: train driving and railway traffic controlling. We have employed cultural-historical activity theory and an ethnographic case study of a large European passenger and freight transport company to pinpoint three different types of movement underpinning the negotiation of safety. These different movements can be found in work organization, work situations, and workers’ actions. The negotiation of safety would appear to be based on the movements of articulation (articulation, disarticulation, re-articulation), alignment (alignment, misalignment, realignment), and separation (separation, re-separation, de-separation) between activity systems. Within the framework of activity theory, we have used evidence from highly reliable organizations and the management of high-risk organizations to offer a better understanding of the movements between activity systems in safety negotiation.

Пространственная сетка водородных связей в жидкостях и растворах

A review of the author's studies of the problem of a three-dimensional network of hydrogen bonds in liquids and solutions is presented. The main properties of the spatial network are revealed: stability, lability, elasticity and correlation of different types of motion of particles forming the network. Methods and results of description and study of three-dimensional networks are presented. The determining role of spatial networks of hydrogen bonds in a wide range of liquid problems of biology, physics and chemistry in applied and fundamental science is shown. It is proposed to distinguish liquids with a spatial network of hydrogen bonds into a separate class of solvents, headed by water.

Large muscle group movements during sleep in restless leg syndrome: neurophysiological and clinical implications.

Recently, criteria have been drawn up for large muscle group movements during sleep (LMM), defined as movements lasting for 3-45 seconds in adults, which are often accompanied by changes in sleep stage, arousals, and increases in heart rate. The aim of this study was to characterize LMM in restless legs syndrome (RLS) in order to better evaluate their impact on the neurophysiology of the disorder and, therefore, the possible clinical implications. Consecutive, drug-free patients diagnosed with RLS and controls, aged 18 years or more, were retrospectively enrolled. Leg movement activity-short-interval (SILMS), periodic (PLMS), and isolated (ISOLMS) leg movements during sleep-and LMM were detected and scored. In total, 100 patients and 67 controls were recruited. All movement measures were significantly higher in RLS. A significant positive correlation was found between LMM and ISOLMS index but not PLMS index in both groups. LMM index showed a significant negative correlation with total sleep time, sleep efficiency, and percentage of sleep stages N3 and R, as well as a significant positive correlation with the number of awakenings, and percentage of sleep stages N1 and N2 only in patients with RLS. No significant correlation was found between either LMM or PLMS index and RLS severity. Different types of movements, including SILMS, ISOLMS, and LMM, play somewhat distinct roles in sleep neurophysiology in RLS. Notably, LMM, a newly recognized category of movements, demonstrates associations with sleep architecture instability and fragmentation, arousals, and awakenings, suggesting potential clinical implications.

DivaTrack: Diverse Bodies and Motions from Acceleration‐Enhanced Three‐Point Trackers

AbstractFull‐body avatar presence is important for immersive social and environmental interactions in digital reality. However, current devices only provide three six degrees of freedom (DOF) poses from the headset and two controllers (i.e. three‐point trackers). Because it is a highly under‐constrained problem, inferring full‐body pose from these inputs is challenging, especially when supporting the full range of body proportions and use cases represented by the general population. In this paper, we propose a deep learning framework, DivaTrack, which outperforms existing methods when applied to diverse body sizes and activities. We augment the sparse three‐point inputs with linear accelerations from Inertial Measurement Units (IMU) to improve foot contact prediction. We then condition the otherwise ambiguous lower‐body pose with the predictions of foot contact and upper‐body pose in a two‐stage model. We further stabilize the inferred full‐body pose in a wide range of configurations by learning to blend predictions that are computed in two reference frames, each of which is designed for different types of motions. We demonstrate the effectiveness of our design on a large dataset that captures 22 subjects performing challenging locomotion for three‐point tracking, including lunges, hula‐hooping, and sitting. As shown in a live demo using the Meta VR headset and Xsens IMUs, our method runs in real‐time while accurately tracking a user's motion when they perform a diverse set of movements.

Изучение казачьих игр с учетом факторов эргономической природной среды и биомеханики движений

The authors highlight the main problem - reduction of mobility of modern children living in the digital space, gassy compressed urban environment. In the article, the Cossack games are presented with an indication of ergonomicobiomechanic factors, taking into account the ethnopedagic orientation that develops in educational institutions of various types. Cossack mobile games are considered in the Cossack classes of general education schools in the course of «Kubanvedenie», «Donology» and others as an element of Cossack culture. The importance of the ergonomic natural environment for the development of the personality is noted. In Cossack games, ergonomic space is distinguished in relation to the biomechanics of human movements. Note that biomechanics as a science implies human movements performed for a specific purpose and in this sense Cossack games can be a model of different types of movements when studying students and an example of the ergonomics of the natural environment in relation.

Use of functional magnetic resonance imaging to identify cortical loci for lower limb movements and their efficacy for individuals after stroke.

Identification of cortical loci for lower limb movements for stroke rehabilitation is crucial for better rehabilitation outcomes via noninvasive brain stimulation by targeting the fine-grained cortical loci of the movements. However, identification of the cortical loci for lower limb movements using functional MRI (fMRI) is challenging due to head motion and difficulty in isolating different types of movement. Therefore, we developed a custom-made MR-compatible footplate and leg cushion to identify the cortical loci for lower limb movements and conducted multivariate analysis on the fMRI data. We evaluated the validity of the identified loci using both fMRI and behavioral data, obtained from healthy participants as well as individuals after stroke. We recruited 33 healthy participants who performed four different lower limb movements (ankle dorsiflexion, ankle rotation, knee extension, and toe flexion) using our custom-built equipment while fMRI data were acquired. A subgroup of these participants (Dataset 1; n = 21) was used to identify the cortical loci associated with each lower limb movement in the paracentral lobule (PCL) using multivoxel pattern analysis and representational similarity analysis. The identified cortical loci were then evaluated using the remaining healthy participants (Dataset 2; n = 11), for whom the laterality index (LI) was calculated for each lower limb movement using the cortical loci identified for the left and right lower limbs. In addition, we acquired a dataset from 15 individuals with chronic stroke for regression analysis using the LI and the Fugl-Meyer Assessment (FMA) scale. The cortical loci associated with the lower limb movements were hierarchically organized in the medial wall of the PCL following the cortical homunculus. The LI was clearer using the identified cortical loci than using the PCL. The healthy participants (mean ± standard deviation: 0.12 ± 0.30; range: -0.63 to 0.91) exhibited a higher contralateral LI than the individuals after stroke (0.07 ± 0.47; -0.83 to 0.97). The corresponding LI scores for individuals after stroke showed a significant positive correlation with the FMA scale for paretic side movement in ankle dorsiflexion (R2 = 0.33, p = 0.025) and toe flexion (R2 = 0.37, p = 0.016). The cortical loci associated with lower limb movements in the PCL identified in healthy participants were validated using independent groups of healthy participants and individuals after stroke. Our findings suggest that these cortical loci may be beneficial for the neurorehabilitation of lower limb movement in individuals after stroke, such as in developing effective rehabilitation interventions guided by the LI scores obtained for neuronal activations calculated from the identified cortical loci across the paretic and non-paretic sides of the brain.

Assessment of Subject Head Motion in Diffusion MRI.

Subject head motion during the acquisition of diffusion-weighted imaging (DWI) of the brain induces artifacts and affects image quality. Information about the frequency and extent of motion could reveal which aspects of motion correction are most necessary. Therefore, we investigate the extent of translation and rotation among participants, and how the motion changes during the scan acquisition. We analyze 5,380 DWI scans from 1,034 participants. We measure the rotations and translations in the sagittal, coronal and transverse planes needed to align the volumes to the first and previous volumes, as well as the displacement. The different types of motion are compared with each other and compared over time. The largest rotation (per minute) is around the right - left axis (median 0.378 °/min, range 0.000 - 11.466°) and the largest translation (per minute) is along the anterior - posterior axis (median 1.867 mm/min, range 0.000 - 10.944 mm). We additionally observe that spikes in movement occur at the beginning of the scan, particularly in anterior - posterior translation. The results show that all scans are affected by subtle head motion, which may impact subsequent image analysis.

The role of preSMA and STS in face recognition: A transcranial magnetic stimulation (TMS) study

Current models propose that facial recognition is mediated by two independent yet interacting anatomo-functional systems: one processing facial features mainly mediated by the Fusiform Face Area and the other involved in the extraction of dynamic information from faces, subserved by Superior Temporal Sulcus (STS). Also, the pre-Supplementary Motor Area (pre-SMA) is implicated in facial expression processing as it is involved in its motor mimicry. However, the literature only shows evidence of the implication of STS and preSMA for facial expression recognition, without relating it to face recognition. In addition, the literature shows a facilitatory role of facial motion in the recognition of unfamiliar faces, particularly for poor recognizers. The present study aimed at studying the role of STS and preSMA in unfamiliar face recognition in people with different face recognition skills. 34 healthy participants received repetitive transcranial magnetic stimulation over the right posterior STS, pre-SMA and as sham during a task of matching of faces encoded through: facial expression, rigid head movement or as static (i.e., absence of any facial or head motion). All faces were represented without emotional content. Results indicate that STS has a direct role in recognizing identities through rigid head movement and an indirect role in facial expression processing. This dissociation represents a step forward with respect to current face processing models suggesting that different types of motion involve separate brain and cognitive processes. PreSMA interacts with face recognition skills, increasing the performance of poor recognizers and decreasing that of good recognizers in all presentation conditions. Together, the results suggest the use of at least partially different mechanisms for face recognition in poor and good recognizers and a different role of STS and preSMA in face recognition.

Analyzing the structural behavior of conducting polymer actuators and its interdependence with the electrochemical phenomenon

This work reports the deformation behavior of a conducting polymer, poly(3,4-ethylene dioxythiophene):polystyrene sulfonate (PEDOT:PSS)/bacterial cellulose (BC) bi-layered cantilever type actuator. Herein, it was found that the type (i.e. bending and torsion) of deformation of (PEDOT:PSS)/BC actuator was non-trivially dependent on its dimensions (width and length). Increasing the actuator’s width resulted in larger torsional deformation along the longitudinal axis against the increased area moment of inertia. The actuator with a width of 7.75 mm rotates ∼90° (i.e. the bottom cross-section) with respect to its top end. It was noticed that torsional motion dominated the deformation when the bending in the lateral direction was restricted. Further, the maximum tip displacement trivially increased with the length from 5.40 mm for an actuator of length 10 mm–12.40 mm for a length of 59.00 mm. However, the curvature of bending, which was proportional to the induced strain, was higher for smaller lengths. The change in the dimension of the actuator involves change in the stress field distribution (i.e. induced through electrochemical process) and simultaneously the resistance to deformation, resulting in a non-trivial relationship between the deformation and the dimensions. This can be advantageous from the design perspective in realizing different types of motions without incorporating additional materials. Structural theory and electrochemical impedance Spectroscopy were used to understand the mechanism of deformation dependence on the dimensions. The electrochemical impedance spectroscopy results indicated that electrolytic ions penetrate deeper into the PEDOT:PSS layer for actuators of smaller lengths. The increase in the curvature of the actuator could be explained based on the constancy of the strain produced due to the volume change per ion. The torsional motion increased because the stresses were being induced further away from the center in wider actuators. These observations and analyses reveal the interdependence of the structural behavior (i.e. dimensions) and the electrochemical phenomenon (i.e. deformation) in a conducting polymer actuator.

Using the eccentric version of the restricted three-body problem to model exosolar systems

The eccentric version of the restricted three-body problem is applied for obtaining the taxonomy of trajectories in exosolar systems. Our analysis is sufficient enough for the test particles to represent a variety of celestial bodies, such as terrestrial-mass exoplanets, exoasteroids, exocomets, or exomoons. Moreover, our results specifically identify allowed orbits for exomoons. Through the systematic classification of trajectories, we manage to distinguish between the different types of motion and therefore reveal how both the total orbital energy and the eccentricity affect the dynamical properties of trajectories of the test particles.

Seimic performance of two rigid blocks coupled through a Maxwell visco-elastic device

The protection against seismic hazards for rigid block-like structures, commonly modeled as rigid blocks, is often achieved by coupling such structures with external protection devices. The most commonly used protection devices include dynamic mass absorbers, oscillating masses, base isolation systems, and hysteretic mass damper inerters. Additionally, several papers have studied the dynamic and seismic response of rigid blocks connected in series, with most of them focusing on the stacked rigid block system, where the blocks are placed one on top of the other. This paper investigates the seismic behavior of a system consisting of two rigid blocks connected in series through a linear visco-elastic Maxwell device. The aim is to understand the possibility of improving the seismic response of a rocking structure (modeled by one of the two rigid blocks) by connecting it with a rocking protection device (modeled by the additional rigid block). Each rigid block can exhibit three different types of motion: full contact, rocking motion around the left base vertex, and rocking motion around the right base vertex. Consequently, during the motion of the coupled system, nine different combinations can occur, each of which is described through a specific set of equations of motion. A parametric analysis is performed with the aim of investigating how the characteristics of the additional rigid block and connection device affect the seismic behavior of the main rigid block (the one modeling the rocking structure). The assessment is carried out through a comparison between the displacements of the coupled system and those of the stand-alone blocks. The results, organized in gain maps, show that there are several combinations of the characteristics of the additional rigid block and connection device that lead to an improvement in the seismic behavior of the main rigid block.

Coupling-induced bistability in self-oscillating regimes of two coupled identical Spin-Torque Nano-oscillators

We consider a system of two coupled identical Spin Torque Nano-Oscillators (STNOs) with cylindrical geometry. The STNOs have free layers in the vortex magnetization configuration and fixed layer with magnetization in the out-of-plane direction. The magnetization dynamics in the two STNOs are analyzed by using a Thiele-like equation governing the dynamics of the vortex core positions. The coupling is assumed to be linear and symmetric and this enables to characterize it by a single complex parameter. We consider numerical simulations of the model as a function of the coupling strength k and phase ϕk. Depending on their values, different motions of the vortex cores are observed, e.g. periodic, and quasi-periodic. Each type of dynamics can be classified according to the symmetry property shown by the trajectories. In this respect, the transition between different types of motion corresponds to a symmetry-breaking process and we describe it as a bifurcation process. Fixing the value of the coupling constant phase, we found that there is a range of coupling constant strength in which the periodic and quasi-periodic motions coexist and both are stable. This bistability is an interesting phenomenon in connection to research on neuromorphic circuits based on STNOs.

Identification of the human cerebral cortical hemodynamic response to passive whole-body movements using near-infrared spectroscopy.

This study aimed to investigate the cerebral cortical response to naturalistic vestibular stimulation induced by real physical motion and to validate the vestibular cerebral cortex previously identified using alternative vestibular stimulation. Functional NIRS data were collected from 12 right-handed subjects when they were sitting in a motion platform that generated three types of whole-body passive translational motion (circular, lateral, and fore-and-aft). The study found that different cortical regions were activated by the three types of motion. The cortical response was more widespread under circular motion in two dimensions compared to lateral and fore-and-aft motions in one dimensions. Overall, the identified regions were consistent with the cortical areas found to be activated in previous brain imaging studies. The results provide new evidence of brain selectivity to different types of motion and validate previous findings on the vestibular cerebral cortex.

Characterization Technique for a Doppler Radar Occupancy Sensor

Occupancy sensors are electronic devices used to detect the presence of people in monitored areas, and the output of these sensors can be used to optimize lighting control, heating and ventilation control, and real-estate utilization. Testing methods already exist for certain types of occupancy sensors (e.g., passive infrared) to evaluate their relative performance, allowing manufacturers to report coverage patterns for different types of motion. However, the existing published techniques are mostly tailored for passive-infrared sensors and therefore limited to evaluation of large motions, such as walking and hand movement. Here we define a characterization technique for a Doppler radar occupancy sensor based on detecting a small motion representing human breathing, using a well-defined readily reproducible target. The presented technique specifically provides a robust testing method for a single-channel continuous wave Doppler-radar based occupancy sensor, which has variation in sensitivity within each wavelength of range. By comparison with test data taken from a human subject, we demonstrate that the mobile target provides a reproducible alternative for a human target that better accounts for the impact of sensor placement. This characterization technique enables generation of coverage patterns for breathing motion for single-channel continuous wave Doppler radar-based occupancy sensors.

Decoding movement frequencies and limbs based on steady-state movement-related rhythms from noninvasive EEG.

Objective.Decoding different types of movements noninvasively from electroencephalography (EEG) is an essential topic in neural engineering, especially in brain-computer interface. Although the widely used sensorimotor rhythm (SMR) is efficient in limb decoding, it lacks efficacy in decoding movement frequencies. Accumulating evidence supports the notion that the movement frequency is encoded in the steady-state movement-related rhythm (SSMRR). Our study has two primary objectives: firstly, to investigate the spatial-spectral representation of SSMRR in EEG during voluntary movements; secondly, to assess whether movement frequencies and limbs can be effectively decoded based on SSMRR.Approach.To comprehensively examine the representation of SSMRR, we investigated the frequency characteristics and spatial patterns associated with various rhythmic finger movements. Coherence analysis was performed between the sensor or source domain EEG and finger movements recorded by data gloves. A fusion model based on spectral SNR features and filter-bank common spatial pattern features was utilized to decode movement frequencies and limbs.Main results.At the group-level, sensor domain, and source domain coherence maps demonstrated that the accurate movement frequency (f0) and its first harmonic (f1) were encoded in the contralateral motor cortex. For the four-class classification, including two movement frequencies for both hands, the decoding accuracies for externally paced and internally paced movements were 73.14 ± 15.86% and 66.30 ± 17.26% (averaged across ten subjects, chance levels at 31.05% and 30.96%). Notably, the average results of five subjects with the highest decoding accuracies reached 87.21 ± 7.44% and 80.44 ± 7.99%.Significance.Our results verified the EEG representation of SSMRR and proved that the movement frequency and limb could be effectively decoded based on spatial-spectral features extracted from SSMRR. We suggest that SSMRR can serve as a complement to SMR to expand the range of decodable movement types and the approaches of limb decoding.

Accurate expression of neck motion signal by piezoelectric sensor data analysis

The development of high-precision sensors using flexible piezoelectric materials has the advantages of high sensitivity, high stability, good durability, and lightweight. The main problem with sensing equipment is low sensitivity, which is due to the mismatch between materials and analysis methods, resulting in the inability to effectively eliminate noise. To address this issue, we developed the denoising analysis method to motion signals captured by a flexible piezoelectric sensor fabricated from poly(l-lactic acid) (PLLA) and polydimethylsiloxane (PDMS) materials. Experimental results demonstrate that this improved denoising method effectively removes noise components from neck muscle motion signals, thus obtaining high-quality, low-noise motion signal waveforms. Wavelet decomposition and reconstruction is a signal processing technique that involves decomposing a signal into different scales and frequency components using wavelets and then selectively reconstructing the signal to emphasize specific features or eliminate noise. The study employed the sym8 wavelet basis for wavelet decomposition and reconstruction. In the denoised signals, a high degree of stability and periodic peaks are distinctly manifested, while amplitude and frequency differences among different types of movements also become noticeably visible. As a result of this study, we are enabled to accurately analyze subtle variations in neck muscle motion signals, such as nodding, shaking the head, neck lateral flexion, and neck circles. Through temporal and frequency domain analysis of denoised motion signals, differentiation among various motion states can be achieved. Overall, this improved analytical approach holds broad application prospects across various types of piezoelectric sensors, such as healthcare monitoring, sports biomechanics.

Deep neural network for non-cooperative space target intention recognition

Given the critical importance of intention recognition for non-cooperative space targets in enhancing spatial situational awareness and mitigating threats, this paper proposes a fast and accurate method based on a deep neural network for identifying the intentions. The proposed method takes the instantaneous single relative motion position and velocity of the non-cooperative target as input and calculates the probability of different potential intentions in real-time. To this end, the possible geometric configurations of relative motions of the targets are characterized and classified based on the Clohessy-Wiltshire (CW) equation, and intentions with respect to different types of motion are defined and grouped accordingly. To ensure the method's applicability for large range scenario, the required dataset in two-body dynamics is generated using satellite orbit extrapolation techniques. The deep neural network is trained on the dataset using back-propagation, and experiments are designed to evaluate the method's performance and the recognition accuracy reached 0.9289. The proposed method outperforms the dynamical characteristics matching-based method in terms of recognition accuracy, range of applicability, and time efficiency. The method has potential applications in spacecraft collision warning and orbital pursuit-evasion games, where rapid and accurate identification of non-cooperative target intentions is critical.

Effects of muscle strength in different parts of adolescent standing long jump on distance based on surface electromyography.

Objective: To reveal the influence of muscle strength in different parts of the body on the distance of standing jump, to establish the key force phases of muscle strength in different parts, and to improve the recognition of movement norms. Methods: VICON infrared three-dimensional motion capture acquisition and analysis system and Noraxon Ultium surface electromyography acquisition and analysis system were used to complete the surface electromyography signal acquisition of 18 randomly selected subjects performing standing long jump. Results: 1) Triceps brachii, anterior deltoid, latissimus dorsi, semitendinosus, rectus femoris, upper trapezius, pectoralis major, and biceps femoris had significant effects on standing jump distance. 2) From the point of view of the key exertion phase of the standing jump mainly affecting the muscle group; the main exertion phase of the semitendinosus occurs from the rising stage to the descending stage; the rectus femoris, triceps, and latissimus dorsi occur during the ascending phase of the flight; the anterior deltoid muscle occurs in the transition stage from rising to falling in the air; the trapezius muscle occurs in the transition stage from pre-swing to kick-off. Conclusion: 1) From the regression analysis of the measured muscles on the distance of each stage of standing long jump, deltoid muscle strength is conducive to the improvement of standing long jump distance, which further indicates the importance of upper limb deltoid muscle strength. 2) Through time series analysis, it is found that the force performance of the rectus femoris muscle at this stage can be used as the main identification parameter of standing long jump, and can effectively distinguish different types of movements.

Responses of a System Comprising a Rigid Block with Resettable Sliding Key Under Base Excitation

The relatively uncontrolled dynamic behavior of a rigid block resting on a flat surface under ground motion has been well studied. In contrast, a block with a gently inclined V- or W-shaped sliding key would ensure dynamic self-centering or resetting performance under various seismic conditions. To better understand the nonlinear responses of rigid blocks having this type of interface where both rocking and sliding movements are possible, an event-based algorithm is put forward to cover various types of motions, including the transition stages between different types of motions. A comprehensive study is carried out to examine the dynamic responses of blocks of different sizes and aspect ratios. Moreover, the simplified pure rocking model and pure sliding model are also adopted to obtain rough estimates of dynamic response for comparison. The results show that the simplified models are reliable for some special cases only, e.g. squat blocks and slender blocks. The study also evaluated the influence of the coefficient of friction and slope inclination on the resetting capabilities of typical sliding-prone and rocking-prone systems. For those cases that are prone to toppling or excessive sliding under strong earthquakes, the provision of vertical post-tensioning can effectively ensure stability and resetting performance. Such findings provide insight into the performance of precast segmental bridge columns with resettable sliding joints.