Speed Measurements Research Articles

Efficacy and safety of a non-immersive virtual reality-based neuropsychological intervention for cognitive stimulation and relaxation in patients with critical illness: study protocol of a randomized clinical trial (RGS-ICU)

BackgroundExperiencing a critical illness may be a stressful life event that is also associated with cognitive dysfunction during and after the intensive care unit (ICU) stay. A deep-tech solution based on non-immersive virtual reality, gamification and motion capture called Rehabilitation Gaming System for Intensive Care Units (RGS-ICU) has been developed that includes both cognitive stimulation and relaxation protocols specifically designed for patients with critical illness. This study aims to evaluate whether the cognitive and relaxation protocols of the RGS-ICU platform are 1) effective in improving neuropsychological outcomes during and after ICU stay and 2) safe for patients with critical illness.MethodsThis is a study protocol for a multicenter longitudinal randomized clinical trial. At least 80 patients with critical illness will be included: 40 experimental subjects and 40 control subjects. Patients in the experimental group will receive daily 20-min sessions of cognitive stimulation and relaxation with the RGS-ICU platform adjuvant to standard ICU care in their own rooms during the ICU stay and until discharge from the ICU or up to a maximum of 28 days after randomization, provided they are alert and calm. Patients in the experimental group will be constantly monitored as part of standard ICU care to ensure the safety of the intervention and that no avoidable adverse events occur. Patients in the control group will receive standard ICU care. The primary outcome is objective cognition 12 months after ICU discharge, assessed with a composite index including measures of attention, working memory, learning/memory, executive function and processing speed. The secondary outcome is the safety of the intervention, assessed by considering the number of sessions terminated early due to unsafe events in physiological parameters. Other outcomes are comfort experienced during the ICU stay, and subjective cognition, mental health (anxiety, depression and post-traumatic stress disorder), functionality and health-related quality of life 12 months after ICU discharge.DiscussionThe expected results are 1) better neuropsychological outcomes during and after the ICU stay in patients in the experimental group compared to patients in the control group and 2) that the cognitive and relaxation protocols of the RGS-ICU platform are safe for patients with critical illness.Trial registrationClinicaltrials.gov NCT06267911. Registered on February 20, 2024.

Wind Speed and Direction Measurement Method Based on WMNet With Arc Ultrasonic Array

Wind Speed and Direction Measurement Method Based on WMNet With Arc Ultrasonic Array

Association of walking and activities of daily living with muscle thickness of the trunk and lower extremity muscles in children with down syndrome

ABSTRACT Purpose We examined the association of walking and activities of daily living(ADL) with trunk and lower extremity muscle thickness in children with Down syndrome (DS). Methods 27 children with DS participated in this study. Walking was assessed using measurements of the maximal walking speed and step length, while ADL was assessed using the Pediatric Evaluation of DisabilityInventory (PEDI). The thickness of the trunk and lower extremity muscles was measured using an ultrasound imaging device. Results The peroneus brevis muscle thickness was a significant and independent factor associated with step length. The tibialis posterior muscle thickness was significant and independent factor of self-care. The thickness of the soleus and tibialis posterior muscles were significant and independent factors of mobility. Finally, the soleus muscle thickness was a significant and independent factor of social function in PEDI. Conclusions The findings of this study indicate that future clinical work should focus on the function of the plantar flexor muscles in walking and ADL in children with DS.

Towards affordable biomedical imaging: Recent advances in low-cost, high-resolution optoacoustic microscopy.

This short review discusses the recent developments in low-cost, high-resolution optoacoustic microscopy systems, integrating laser diodes for signal excitation, which are 20-40 times cheaper than the typically employed Q-switched nanosecond laser sources. The development of laser diode-based microscopes can substantially improve not only cost efficiency, but also multispectral capabilities, robustness, portability and overall imaging performance of the optoacoustic technique. To this end, we demonstrate relevant implementations in both time and frequency domain, highlighting their representative applications in biomedical research such as microvasculature imaging, oxygen saturation assessments, hybrid and multiview microscopy of model organisms and tissues and Doppler flow speed measurements. Finally, we analyse the benefits and limitations of each approach, identifying the respective application contexts where they achieve optimum performance.

Inline Measurement of Light Beam Induced Current (LBIC) Under High-Injection and Reverse Bias Conditions

Quality control in solar cell production relies on characterization methods that are fast enough to yield information on the properties of each solar cell in less than about one second. Imaging techniques such as electroluminescence (EL) are well established methods revealing spatially resolved quality mappings. Scanning techniques such as light beam induced current (LBIC) are common laboratory methods yielding complementary information but do not meet the speed requirements. In our work, we analyse an inline implementation of the LBIC method which is extended with respect to its measurement parameters, i.e., both the laser power and a solar cell bias-voltage are varied. As these extended conditions differ from conventional LBIC-applications at zero bias and low injection, we compare our inline-LBIC images with EL images and conventional LBIC images by means of an image contrast analysis. We find that our method resembles more the EL imaging as variations in the local series resistance are prominently detected. Thus, the proposed LBIC approach with extended measurement parameter range can yield both local short circuit information and local series resistance information. With our setup, measurement speeds around 700 ms are achieved.

GNSS-A Geodetic Positioning with Global Gridded Marine Environment Dataset Replacing In-Field Sound Speed Measurement

In-field sound speed measurement used to correct the effect of sound speed variation in GNSS-A observation not only increases the cost of seafloor geodetic observation but also limits the timeliness of various seafloor geodetic applications. We investigate the seafloor geodetic positioning with the global gridded marine environment dataset (GGMED) replacing the in-field sound speed measurement. Three typical GGMEDs, including WOA18, EN4, and GLORYS12, were evaluated for seafloor geodetic positioning on the Japan GNSS-A dataset. The experimental results show that the three typical GGMEDs can be applied in high-precision seafloor geodesy. GLORYS12 has the highest positioning accuracy evaluated by the positioning results of the in-field sound speed profile (SSP), with the root mean square (RMS) of the positioning difference of 0.0021, 0.0020, and 0.0244 m in the E, N, and U directions, respectively. The experimental results indicate that GGMEDs have the potential to replace in-field sound speed measurement in the future to reduce seafloor geodetic observation costs.

Equilibrium dynamical models in the inner region of the Large Magellanic Cloud based on Gaia DR3 kinematics

Context. The Large Magellanic Cloud (LMC) contains complex dynamics driven by both internal and external processes. The external forces are due to tidal interactions with the Small Magellanic Cloud and the Milky Way, while internally its dynamics mainly depend on the stellar, gas, and dark matter mass distributions. Despite this complexity, simple physical models often provide valuable insights into the primary driving factors. Aims. We used Gaia Data Release 3 (DR3) to explore how well equilibrium dynamical models based on the Jeans equations and the Schwarzschild orbit superposition method are able to describe the LMC’s five-dimensional phase-space distribution and line-of-sight (LOS) velocity distribution, respectively. In the Schwarzschild model, we incorporated a triaxial bar component for the first time and derived the LMC’s bar pattern speed. Methods. We fit comprehensive Jeans dynamical models to all Gaia DR3 stars with proper motion and LOS velocity measurements found in the footprint of the VISTA near-infrared survey of the Magellanic System using a discrete maximum likelihood approach. These models are very efficient at discriminating genuine LMC member stars from Milky Way foreground stars and background galaxies. They constrain the shape, orientation, and enclosed mass of the galaxy under the assumption of axisymmetry. We used the Jeans model results as a stepping stone to more complex two-component Schwarzschild models, which include an axisymmetric disc and a co-centric triaxial bar, which we fit to the LMC Gaia DR3 LOS velocity field using a χ2 minimisation approach. Results. The Jeans models describe the rotation and velocity dispersion of the LMC disc well, and we find an inclination angle of θ = 25.5° ±0.2°, line of nodes orientation of ψ = 124° ±0.4°, and an intrinsic thickness of the disc of q0d = b/a = 0.23 ± 0.01 (minor to major axis ratio). However, bound to axisymmetry, these models fail to properly describe the kinematics in the central region of the galaxy dominated by the LMC bar. We used the derived disc orientation and the Gaia DR3 density image of the LMC to obtain the intrinsic shape of the bar. Using these two components as input to our Schwarzschild models, we performed orbit integration and weighting in a rotating reference frame fixed to the bar, deriving an independent measurement of the LMC bar pattern speed of Ω = 11 ± 4 km s−1 kpc−1. Both the Jeans and Schwarzschild models predict the same enclosed mass distribution within a radius of 6.2 kpc of ∼ 1.4 × 1010 M⊙.

Quantitative and acoustic characteristics of ternary mixes including EDTAs: A thermodynamic study

The ternary system of water, Ethylenediaminetetraacetic acids (Disodium EDTA, Trisodium EDTA and Tetrasodium EDTA) and polyethylene glycol 4000 has had its ultrasonic velocities (s) and densities (ρ) recorded at 288.15–318.15 K at atmospheric pressure of 0.01 MPa, depending on the composition. These numbers have been used to compute the experimental volumetric and ultrasonic characteristics. Using density and speed of sound measurements, the apparent and partial molar properties along with transfer properties are investigated. The evaluation additionally includes the expansibilities (Eϕ0) and its first order derivative ∂Eϕ0∂TP. In addition, the pair and triplet coefficients are derived using liquid theory of McMillan and Mayer. These computed parameters provide light on the results in relation to the physicochemical co-solute–solvent relationship that arises in the current system under investigation. The mixes of these solutions include structures of glycol and EDTAs that are firmly bound. We analyse the findings in the context of complex structure creation and breakdown in ternary combinations. The co-sphere overlap model states that the produced parameters, which are considered the kind of interactions occurring inside the combination, are used to characterise the outcomes. Excess parameters and FT-IR spectroscopic characteristics show a good agreement, supporting the use of FT-IR to analyse particular interactions, such as the creation of hydrogen bonds among ternary liquid mixtures.

Changes in the Heterogeneity of MSC Subpopulations During Replicative Senescence as Seen from Single-Cell Speed Measurements

Changes in the Heterogeneity of MSC Subpopulations During Replicative Senescence as Seen from Single-Cell Speed Measurements

Discrepancies in walking speed measurements post-bed-rest: a comparative analysis of real-world vs. laboratory assessments

Abstract Objectives Understanding differences between real-world walking speed (RWS) and laboratory-measured walking speed (LWS) is crucial for comprehensive mobility assessments, especially in context of prolonged immobilization. This study aimed to investigate disparities in walking speed following a 60-day bed-rest period. Methods In 11 male participants, RWS was continuously monitored using a tri-axial accelerometer worn on the waist, while LWS was assessed via a 10-m walk test at preferred speed, on three different study days after immobilization. Statistical analyses included Bland–Altman and Pearson’s correlation to evaluate agreement between RWS and LWS, alongside paired-sample t-tests and univariate linear regression models to assess significance of differences and temporal effects on gait speed. Results Results of Bland-Altman analysis showed no agreement between RWS and LWS (mean difference 0.77 m/s) and nonsignificant correlation (r=0.19, p-value=0.3). Paired-sample t-tests indicated significantly lower RWS compared to LWS for all study days (p-value <0.001). Univariate linear regression models demonstrated a significant effect of test day on RWS (p-value <0.001) but not on LWS (p-value=0.23). Conclusions These findings emphasize the importance of integrating both assessments to capture comprehensive mobility changes following prolonged periods of inactivity. Particularly significant is that RWS is constantly lower than LWS, with the former being more representative as it reflects what normally participants would do when not under observation. Lastly, understanding discrepancies between RWS and LWS would allow for more appropriate rehabilitation programs to speed up recovery while simultaneously keeping the rehabilitation safe and tailored.

Frailty Screening in Primary Care-Based Memory Clinics: Feasibility, Acceptability, and Preliminary Findings.

We evaluated the feasibility and acceptability of frailty screening using handgrip strength with gait speed measures within four primary care-based memory clinics in Ontario. This mixed methods quality improvement initiative examined the reach, effectiveness, adoption, implementation, and maintenance of frailty screening from the perspective of patients (N = 216), care partners (N = 142), and healthcare providers (N = 9). Frailty screening was well-received by patients and care partners and perceived as quick and easy to administer and integrate into assessment processes by healthcare providers at all four memory clinics. The ease of integrating frailty screening into clinic processes was a key factor facilitating implementation; few challenges or suggestions for improvement were identified. All four clinics plan to continue frailty screening, three using the methods adopted in this study. Integrating frailty screening into memory assessments is feasible and acceptable and, given the interactional relationship between frailty and dementia, provides a significant opportunity to improve health outcomes for older adults.

A Data-Assisted and Inter-Symbol Spectrum Analysis-Based Speed Estimation Method for Radiated Signals from Moving Sources

Aiming at the problem of estimating the speed of M-ary Phase Shift Keying (MPSK) communication radiated sources and their carrying platform targets, this paper proposes a data-assisted and inter-symbol spectrum analysis-based speed estimation method for MPSK communication radiated sources. The method first demodulates a signal-carrying message symbol from the received MPSK signal; then segments the signal according to the symbol synchronization information and the symbol period; and then compensates the phase of the symbol waveform corresponding to the message data according to the demodulated message symbol; finally combines the phase-compensated symbol waveform data into a two-dimensional matrix and finds the Doppler frequency of the data at the same sampling moment of different symbols using the vertical Fourier transform to obtain the moving target speed. The speed measurement accuracy and anti-noise performance of the method are analyzed through simulation experiments, and the simulation results show that the speed measurement accuracy of the method is 98.5%.

TELEMETRY AS AN IOT TOOL IN VEHICLE FLEET SAFETY MANAGEMENT

Telemetry is one of the main tools of the Internet of Things (IoT) applied to fleet management, enabling geographic tracking, speed measurement, and monitoring of other variables in real time through wireless communication in remote and urban areas. This study aimed to verify the application of this IoT technology in the safety management of vehicle fleets, exploring its contribution to reducing incidents and increasing operational efficiency. Telemetry technology, with data transmission and continuous monitoring, enables managers to make more assertive decisions about the safety of drivers and employees, in addition to optimizing logistics and reducing costs related to fleet operations. The methodology was based on an exploratory and analytical approach, combining a conceptual review of articles and books with a case study applied to a large mining company located in Minas Gerais, in 2018. The results indicated that, after the implementation of the telemetry system, there was a significant reduction in the frequency of speeding and, consequently, in the number of accidents. Furthermore, it was possible to identify patterns of recidivism among drivers, which reinforces the importance of continuous monitoring. It was concluded that telemetry, as an IoT tool, not only contributes to increased safety, but also improves operational efficiency, enabling proactive fleet management and opening opportunities for future research, such as the use of big data for predictive analysis.

Sensorless Design and Analysis of a Brushed DC Motor Speed Regulation System for Branches Sawing

Saw rotational speed critically influences cutting force and surface quality yet is often destabilized by variable cutting resistance. The sensorless detection method for calculating rotational speed based on current ripple can prevent the contact of wood chips and dust with Hall sensors. This paper introduces a speed control system for brushed DC motors that capitalizes on the linear relationship between current ripple frequency and rotational speed. The system achieves speed regulation through indirect speed measurement and PID control. It utilizes an H-bridge circuit controlled by the EG2014S driver chip to regulate the motor direction and braking. Current ripple detection is accomplished through a 0.02 Ω sampling resistor and AMC1200SDUBR signal amplifier, followed by a wavelet transform and Savitzky–Golay filtering for refined signal extraction. Experimental results indicate that the system maintains stable speeds across the 2000–6000 RPM range, with a maximum error of 2.32% at 6000 RPM. The improved ripple detection algorithm effectively preserves critical signals while reducing noise. This enables the motor to quickly regain speed when resistance is encountered, ensuring a smooth cutting surface. Compared to traditional Hall sensor systems, this sensorless design enhances adaptability in agricultural applications.

Multifunctional Downhole Drilling Motor Speed Sensor Based on Triboelectric Nanogenerator.

The measurement of downhole drilling motor rotational speed is crucial for optimizing drilling operations, improving work efficiency, and preventing equipment failures. However, traditional downhole rotational speed sensors suffer from power supply limitations, which can increase drilling costs. To address this issue, this study presents a novel multifunctional rotational speed sensor based on triboelectric nanogenerator (TENG) technology, enabling the self-powered measurement of rotational speed, direction, and angle. Our experimental results demonstrate that the sensor operates stably within a temperature range of 0 to 150 °C and a humidity range of 0 to 90%. It achieves rotational speed measurement with an accuracy of less than 2.5% error within a range of 0 to 1000 rpm, angular measurement with a resolution of 60 degrees and an error of less than 2% within a range of 0 to 360 degrees, and rotational direction measurement. Furthermore, the sensor exhibits self-powered functionality, achieving a maximum power output of 29.1 μW when the external load is 10 MΩ. Compared to conventional rotational speed sensors, this sensor possesses the unique advantage of integrating the measurement of rotational speed, angle, and direction, while simultaneously harnessing downhole working conditions for self-power generation. These characteristics make it highly suitable for practical downhole environments.

Development of a Shoelace Tensile Testing System and Investigation into the Effects of Different Running Speeds on Shoelace Tensile Variation

AbstractThis study investigated the validity and sensitivity of a custom-made shoelace tensile testing system. The aim was to analyze the distribution pattern of shoelace tension in different positions and under different tightness levels during running. Mechanical tests were conducted using 16 weights, and various statistical analyses, including linear regression, Bland-Altman plots, coefficient of variation, and intraclass correlation coefficient, were performed to assess the system’s validity. Fifteen male amateur runners participated in the study, and three conditions (loose, comfortable, and tight) were measured during an upright stance. The system utilized VICON motion systems, a Kistler force plate, and a Photoelectric gate speed measurement system. Results showed a linear relationship between voltage and load at the three sensors (R2 ≥ 0.9997). Bland-Altman plots demonstrated 95% prediction intervals within ± 1.96SD from zero for all sensors. The average coefficient of variation for each sensor was less than 0.38%. Intraclass correlation coefficient values were larger than 0.999 (p<0.0001) for each sensor. The peak tension of the front shoelace was greater than that of the front and middle when the shoelace was loose and tight. The rear shoelace had the highest tension force. The study also found that shoelace tension varied throughout the gait cycle during running. Overall, this research provides a novel and validated method for measuring shoelace tensile stress, which has implications for developing automatic shoelace fastening systems.

Effect of Deep Eutectic Solvent (DES) on physicochemical and electrochemical properties of triethylmethylammonium tetrafluoroborate in propylene carbonate and aqueous propylene carbonate solvent systems for energy storage applications: A comparative analysis

The use of non-toxic and biodegradable Deep Eutectic Solvents (DES) in energy storage has attracted a lot of attention as the toxic, costly and flammable organic electrolytes do not seem to be sustainable for the environment. So, to analyse the potential of DESs in this area their physicochemical properties and molecular interaction study can be quite helpful. The measurements were made of the density, sound speed, and electrical conductivity of Triethylmethylammonium Tetrafluoroborate (TEMABF4) at four different temperatures in two different solvent systems: propylene carbonate (PC) with ethaline DES (a mixture of ethylene glycol and chlorine in a 1:2 ratio) added as an additive, and binary aqueous PC with ethaline DES again, added as an additive. Density and speed of sound measurements were used to determine the physicochemical characteristics such as apparent molar volume and partial molar volume), apparent molar isentropic compressibility and partial molar isentropic compressibility and limiting molar expansibilities. The effects of DES on the intermolecular interactions in the PC and aqueous PC solvent environment were demonstrated using these parameters. The findings demonstrated that the solute–solvent interactions in both systems were enhanced by the addition of DES. Hepler’s constant additionally showed that TEMABF4 behaved as a structure maker in the DES in aq. PC system and a structure breaker in the DES in PC system. In order to investigate the electrochemical applications, the electrochemical stability and electrical conductivity of the systems being studied are also reported in this paper.

Flame Speed Measurements of Ammonia–Hydrogen Mixtures for Gas-Turbines

Abstract Recent findings from the U.S. Energy Information Administration project an increase in domestic fossil fuel consumption (e.g., petroleum and natural gas) and global greenhouse gas emissions through 2050 (Nalley, S., 2021, “International Energy Outlook 2021 (IEO2021),” IEO2021 Release, CSIS, Center for Strategic and International Studies, Washington, DC, Technical Presentation, pp. 2–12). Consequently, advanced combustion research aims to identify fuels to mitigate fossil fuel consumption while minimizing exhaust emissions. Ammonia (NH3) is one of these candidates, as it has historically been shown to provide high energy potential and zero-carbon emission (CO and CO2) (Hayakawa, A., Goto, T., Mimoto, R., Arakawa, Y., Kudo, T., and Kobayashi, H., 2015, “Laminar Burning Velocity and Markstein Length of Ammonia/Air Premixed Flames at Various Pressures,” Fuel, 159, pp. 98–106). As a hydrogen (H2) carrier, NH3 serves as a possible solution to the U.S. Department of Energy's Hydrogen Program Plan by providing efficient H2 storage and conservation capabilities (U.S. Department of Energy, 2020, “Department of Energy Hydrogen Program Plan,” U.S. Department of Energy, Washington, DC, Report No. DOE/EE-2128). As a result, applied turbine-combustion research of NH3 and H2 fuel has been conducted to identify combustion performance parameters that aid in the design of sustainable turbomachinery (Chiong, M.-C., Chong, C., Ng, J., Mashruk, S., Chong, W., Samiran, N., Mong, G., and Medina, A., 2021, “Advancements of Combustion Technologies in the Ammonia-Fuelled Engines,” Energy Convers. Manage., 244, p. 114460). One of these key combustion parameters is the laminar burning speed (LBS). While abundant literature exists on the combustion of NH3 and H2 fuels, there is not sufficient evidence in high-pressure environments to provide a comprehensive understanding of NH3 and H2 combustion phenomena in turbine-combustor settings. To advance the state of the knowledge, NH3 and H2 mixtures were ignited in a spherical chamber across a range of equivalence ratios at 296 K and 5 atm to understand their flame characteristics and LBS which was determined using a multizone constant volume method. The experimental conditions were selected according to primary turbine-combustor conditions, as much research is needed to support NH3–H2 applicability in turbomachinery for power generation. The effect of H2 addition to NH3 fuel was observed by comparing the LBS for various NH3–H2 mixture compositions. Experimental results revealed increased LBS values for H2 enriched NH3, with the maximum LBS occurring at stoichiometry. The experimental data were accurately predicted by the University of Central Florida (UCF) NH3–H2 mechanism developed for this investigation, while NUI 1.1 simulations overestimated recorded LBS data by a significant margin. This study demonstrates and quantifies the enhancing effect of H2 addition to NH3 fuels via LBS and strengthens the literature surrounding NH3–H2 combustion reactions for future work.

DESIGN OF TAPERED WIND TURBINE USING VARIOUS NACA 24112 AIRFOILS IN SEMAYAN VILLAGE CENTRAL LOMBOK REGENCY

This research focuses on designing and optimizing a tapered wind turbine employing NACA 24112 airfoils, specifically tailored for Semayan Village in Central Lombok West Nusa Tenggara province. Given the escalating global energy demand and the depletion of fossil fuels, the study aims to explore alternative energy solutions. The chosen horizontal axis turbine, equipped with an increased number of blades, seeks to maximize the power coefficient and overall efficiency. The NACA airfoil model, coupled with Q-Blade v0.963 software, was employed for simulations after conducting wind speed measurements in Semayan Village. The collected data indicated moderate wind speeds, aligning with the selection of the Taper blade design. The blade design process involved comprehensive system efficiency calculations and twist angle optimizations to enhance overall turbine performance and extend its lifespan. Rotor simulations revealed a noteworthy peak in the power coefficient (Cp), reaching 45% at Tip Speed Ratio (TSR) 7, indicating an optimal point for power generation. However, the study emphasizes the importance of selecting an appropriate TSR, as efficiency diminishes at higher TSR values. This research highlights the potential of wind energy as a viable and sustainable solution, particularly for regions with limited access to electricity. It advocates for the broader adoption of renewable energy sources to address the evolving energy landscape.

Visual inspection time as an accessible measure of processing speed: A validation study in children with cerebral palsy.

This study examined the validity of a visual inspection time (IT) task as a measure of processing speed (PS) in a sample of children with and without cerebral palsy (CP). IT tasks measure visualization speed without focusing on the motor response time to indicate decision making about the properties of those stimuli. Participants were 113 children ages 8-16, including 45 with congenital CP, and 68 typically developing peers. Measures were a standard visual IT task that required dual key responding and a modified version using an assistive technology button with response option scanning. Performance on these measures was examined against traditional Wechsler PS measures (Coding, Symbol Search). IT performance shared considerable variance with traditional paper-pencil PS measures for the group with CP, but not necessarily in the typically developing group. Concurrent validity was found for both IT task versions with traditional PS measures in the group with CP. IT classification accuracy for lowered PS showed modest sensitivity and good specificity particularly for the modified IT task. As measures of PS in children with CP who are unable to validly participate in traditional PS tasks, IT tasks demonstrate adequate concurrent validity and may serve as a beneficial alternative measure of PS in this population.