Speed Test Research Articles

Abstract PO1-12-11: How do chemotherapy and age affect physical performance in breast cancer patients over 12 months of treatment? Results from the UPBEAT Study (UPBEAT WF-97415)

Abstract Introduction: Chemotherapy-associated functional decline is a concern for women with breast cancer. Objective: To assess effects of chemotherapy and age on objectively measured physical performance among women with breast cancer over time. Methods: Analyses utilized the multicenter, longitudinal Understanding and Predicting fatigue, cardiovascular decline, and events after BrEast cAncer sTudy (UPBEAT), a study conducted through the Wake Forest NCORP Research Base (5UG1CA189824). We examined physical performance at baseline and at 3 and 12 months and compared means across time by age group (< 65 years v. 65+ years at baseline) and by cancer/control group. For the latter variable, we had 3 groups of participants: 1) newly diagnosed breast cancer patients with Stage 1-3 breast cancer who received chemotherapy (CC; n= 201); 2) newly diagnosed breast cancer patients receiving no chemotherapy (CNC; n=57); and age-matched healthy controls (HC; n=145). The primary outcome was the Short Physical Performance Battery (SPPB) score (range 0-12, worst to best performance, including chair stands, gait speed, and balance testing). Effects of cancer/control group, age group, and time (treated categorically rather than ordinally) were estimated in a mixed model with a random subject effect and fixed effects of time (baseline, 3 month, 12 month) and cancer/control group. In the model we included all first-order interactions as well as the one second-order interaction between all three predictors. We also used linear contrasts to compare estimated means within groups. Analyses were conducted in SAS 9.4. A two-tailed alpha of 0.05 was used throughout to denote statistical significance. Results: Among 403 patients accrued through the Wake Forest Research Base of NCORP, 201 were in the CC group, and 18.9% of these were aged 65 and older; 57 were in the CNC group, and 33.3% were older; and 145 were in the HC group, and 15.9% were 65 or older. We observed a significant (p< 0.0001) main effect of older age group in our model: across all 3 groups, and all 3 time points, those who were 65 years of age or older had worse SPPB scores than those who were younger. Healthy controls tended to have better mean scores than the other 2 cancer/control groups, though the main effect of group did not achieve statistical significance (p=0.06). We observed no significant interaction terms; in other words, the effect of being older (in terms of association with worse SPPB scores) did not vary by time or group. Within the CC group, both the older and the younger groups declined significantly (p=0.04) in mean SPPB at 3 months compared to baseline, but by 12 months, the means had returned to their starting points. No other groups showed significant changes over time. Conclusions: Chemotherapy was associated with decline in SPPB score over the 12-month time period regardless of age. Older adults, regardless of chemotherapy status and time point, had lower SPPB scores. Citation Format: Shirley Bluethmann, Beverly Levine, Brianna Leitzelar, Katherine Ansley, Alexandra Thomas, Nancy Avis, Gregory Hundley, Heidi Klepin, Kathryn Weaver, Glenn Lesser. How do chemotherapy and age affect physical performance in breast cancer patients over 12 months of treatment? Results from the UPBEAT Study (UPBEAT WF-97415) [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-12-11.

An examination of semantic performance in mild cognitive impairment progressors and nonprogressors.

Mild cognitive impairment (MCI) is a risk factor for developing Alzheimer's disease (AD), and about half of older people with MCI will progress to AD within the next 5 years. The aim of the present study was to compare the semantic performance of MCI progressors (MCI-p) and nonprogressors (MCI-np). The hypothesis was that MCI-p would present with poorer semantic performance relative to MCI-np at baseline, indicating that semantic deficits may increase the risk of future decline toward AD. Fifty-six MCI participants (aged 65-89) from the Consortium for Early Identification of Alzheimer's Disease-Quebec study were analyzed, with 18 progressing and 38 remaining stable over 2 years. Analysis of covariance assessed their initial semantic and nonsemantic cognitive performance, and mixed analyses of variance gauged longitudinal patterns of cognitive decline at the 2-year follow-up. In the semantic domain, MCI-p performed significantly worse than MCI-np at baseline on two semantic tests (category fluency and object decision). In other cognitive domains, MCI-p performed worse than MCI-np on a test of executive functions (cognitive flexibility) but showed similar performance on a test of episodic memory. There were no significant differences between groups in the rates of progression on semantic tests over the 2-year period, but a steeper decline was observed in MCI-p at follow-up on tests of global cognition, episodic memory, and processing speed. This suggest that MCI patients who present with semantic memory impairment in addition to episodic memory impairment are at greater risk of future progression to AD. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Association of physical activity and vitamin D deficiency with cognitive impairment in older adults: a population based cross-sectional analysis.

The global aging situation is becoming increasingly critical and cognitive impairment in the elderly has become a public health burden of concern. Physical activity (PA) and vitamin D may play a key role in improving cognitive impairment. However, little studies have examined the interaction between these two. The purpose of this study was to assess the association of PA and vitamin D with cognitive impairment in older adults, as well as the interactions of PA and vitamin D. This study was conducted by multi-stage random sampling of elderly people ≥60 years old, and a total sample of 2,492 (1,207 male and 1,285 female, mean age of 69.41 ± 6.75 years) with complete data was included in the analysis. PA was assessed by the Global Physical Activity Questionnaire, and < 600 MET-min/week was used as the division criteria. Serum vitamin D was measured by high-performance liquid chromatography tandem mass spectrometry, and 25-hydroxyvitamin D2/D3 concentration < 20 ng/mL was used as a vitamin D deficiency criterion. Cognitive function was assessed by three subtests: the Consortium to Establish a Registry for Alzheimer's disease word learning test (CERAD-WL) for immediate and delayed learning, the Animal Fluency Test (AFT) for verbal fluency; and the Digit Symbol Substitution Test (DSST) for information processing speed and switching attention. All three subtests were scored at less than the lowest quartile of the score as a criterion for cognitive impairment. Statistical analysis was performed using SPSS for chi-square test, rank sum test, interaction analysis, subgroup analysis, and regression analysis. Lower level of PA is associated with higher odds of cognitive impairment (CERAD W-L: OR = 1.596, 95% CI: 1.338-1.905, p < 0.001; AFT: OR = 1.833, 95% CI: 1.534-2.190, p < 0.001; DSST: OR = 1.936, 95% CI: 1.609-2.329, p < 0.001). Vitamin D deficiency has significant effects in AFT (OR = 1.322, 95% CI: 1.103-1.584, p = 0.003) and DSST (OR = 1.619, 95% CI: 1.345-1.948, p < 0.001). After adjusted for covariates, PA and vitamin D have multiplicative interaction on AFT (OR = 0.662, 95% CI: 0.448-0.977, p = 0.038) and DSST (OR = 0.775, 95% CI: 0.363-0.868, p = 0.009). The interaction between PA and vitamin D was not significant in the CERAD W-L (OR = 0.757, 95% CI: 0.508-1.128, p = 0.172). The results showed that lower level of PA and vitamin D deficiency were associated with higher odds of cognitive impairment in the elderly population and that there was a multiplicative interaction between PA and vitamin D on cognitive function, with a significant effect of vitamin D on cognitive impairment in high PA conditions.

Inverse aerodynamic design for distributed propulsion wing with expected circulation distribution

Distributed Propulsion Wing (DPW) technology offers significant advantages in terms of flight energy savings, but the strong aerodynamic coupling between the propulsive internal flow and aerodynamic external flow brings significant design challenges. As the primary DPW profile design is of great significance, this paper proposes a hybrid method to solve the inverse problem mainly based on the formula relationship between the required aerodynamic loads and the profile shape, which is more direct and instructive compared with traditional parametric iterative methods. The aerodynamic characteristics are described by the circulation distribution in the Fourier series form, then the mean camber line of the profile is solved through the re-derived airfoil theory considering disk’s influence. Further CFD correction methods are also proposed. To validate the effectiveness and feasibility of the proposed hybrid inverse method, several DPW profile design tests are then conducted. Finally, the relationship between 2D and realistic 3D unit shape is also researched. The results show that the proposed inverse design method has great accuracy and convergence speed in the design tests, and shows good robustness against changes of the design parameters. The 2D profile shape and the actual 3D shape of DPW unit can establish an aerodynamic-propulsion equivalent relationship based on the same internal mass fluxes.

Effect of re-warm-up practices on brain networks and physical performance in soccer players

Objectives: The warm-up (WU) and re-warm-up (R-WU) regimes in many team sports, especially football and competition, plays an essential role in improving physical function and increasing communication between brain networks. The present study aimed to evaluate the effects of the R-WU on brain networks and physical performance in young soccer players.Methods: After familiarizing the laboratory conditions, twelve young male soccer players (age 18.2± 0.5 years) performed only one WU protocol, which included 25 minutes and two parts of general and specialized warming up in one session. In addition to warming up in the next session, the participant performed an R-WU that included four sets of plyometric movements, five jumps from obstacles to a height of 40 cm, followed by crossing the agile ladder. Functional magnetic resonance imaging (fMRI), 20m speed, and Illinois test were used to evaluate the function of brain networks and physical function.Results: The subjects showed a significant increase in the performance of both speed and agility in the R-WU session compared to the warm-up session (P≤0.01). Also, a positive relationship was observed between the performance of default, executive, and attention networks in the R-WU session compared to the WU session (P≤0.01, P≤0.03). Conclusions. The present study demonstrated that the R-WU program improved the relationship between brain networks and physical function in soccer players.

The Influence of Cholesterol on Resting Brain Blood Flow and Cognition in Middle-Aged Adults

Total cholesterol increases with age, with peak values observed in middle-aged adults (50-64 years old). Middle-aged adults are vulnerable to experiencing future cognitive decline, in which the concurrent reductions in resting brain blood flow with aging have been linked to cognitive impairments. PURPOSE: To determine the influence of low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterol on resting brain blood flow and cognition in middle-aged adults (50-64 years old). Methods: LDL and HDL cholesterol were measured in 18 healthy adults (57 ± 4 years old). Resting cerebral and hippocampal blood flow were assessed using a pseudo-continuous arterial spin labeling (pCASL) sequence from the Human Connectome Project inside a Siemens Prisma 3T MRI scanner. Cognitive function was assessed using the Hopkins Verbal Learning Test (HVLT) and the National Institute of Health (NIH) Toolbox’s Flanker Inhibitory Control and Attention Test and Pattern Comparison Processing Speed Test. The influence of cholesterol on resting brain blood flow and cognition was analyzed using Pearson correlations. Results: LDL cholesterol (123 ± 23 mg/dL) was negatively correlated with resting cerebral (70.1 ± 12.5 ml.100g−1.min−1; r = -0.78, p = 0.0001) and hippocampal (67.6 ± 13.1 ml.100g−1.min−1; r = -0.74, p = 0.0005) blood flow. There were no significant associations for HDL cholesterol (67 ± 17 mg/dL) on resting cerebral (r = -0.03, p = 0.9) nor hippocampal (r = -0.04, p = 0.9) blood flow. Among the cognitive function tests, only hippocampal-dependent memory retention from the HVLT was positively associated with HDL cholesterol (r = 0.51, p = 0.03). A follow-up analysis revealed participants with a higher resting brain blood flow presented a tendency for higher scores in the Pattern Comparison Processing Speed Test (r = 0.44, p = 0.06). CONCLUSION: LDL cholesterol, a cardiometabolic risk factor, was negatively associated with resting cerebral and hippocampal blood flow whereas the potentially cardioprotective factor HDL cholesterol was not. HDL cholesterol was positively associated with memory-related outcomes. Our results suggest cholesterol may impact resting brain blood flow and should be considered a target in preventing or delaying age-related memory loss. Further data are required to elucidate the underlying mechanisms. SIGNIFANCE: The cardiometabolic effects of cholesterol may have additional implications on cerebrovascular and brain health. NIH/NIGMS - P20 GM113125. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Mitigating inflow acceleration effects in twin mountains using air jets: Emphasis on anti-wind for high-speed railways

The twin mountains, a common terrain in mountainous areas, tend to induce the acceleration effect under crosswinds, which enhances the wind speed and the turbulence performance of the flow field. To mitigate the impact of the acceleration effect on high-speed trains, structures, and aircraft near the twin mountains, this study investigates the effectiveness of the jet strategies, which are realized on natural mountain slopes by mechanical ventilation, with different jet angles on the flow field and the train. Wind speed tests, flow visualization, wind field prediction, and research on the train's aerodynamic behavior are conducted in this paper using the wind tunnel and the improved delayed detached eddy simulation dynamic models. The results indicate that the wind velocity on the leeward side of the twin mountains increases up to 1.42 folds of the wind velocity of the incoming flow under crosswinds. The jet streams with 0° and 30° angles are the most effective in mitigating the acceleration effect among those tested (0°, 15°, 30°, and 45°), reducing the maximum wind speed by 11.87% and 16%, respectively. Compared with the mitigation effect of the jet stream with the 30° angle, the jet stream with the 0° angle has a better mitigation effect on the aerodynamic loads (4.0%–13.2%) and its fluctuation amplitude (24.4%–42.7%) of the train. These findings are valuable for studying the flow field characteristics of the twin mountains and the designing anti-wind measures for high-speed railways.

Association Between Disease-Modifying Therapy and Information Processing Speed in Multiple Sclerosis.

Cognitive impairment (CI) is common in multiple sclerosis (MS). Processing speed (PS) is often affected, making it an ideal target for monitoring CI. This study aims to evaluate the association between disease-modifying therapy (DMT) use and intensity and longitudinal changes in Processing Speed Test (PST) scores for individuals with MS. A retrospective analysis of individual PST scores at a single MS center was conducted. Individuals with 2 or more PST assessments were included. Scores on the PST were compared longitudinally between those who had been on a DMT for 2 or more years and those who had been off a DMT for 2 or more years and between those on high-efficacy DMTs and those on low-/moderate-efficacy DMTs. A linear regression model was approximated to evaluate the rate of cognitive change over time. A propensity score adjustment was conducted using a multivariable logistic regression. The cohort was 642 individuals, 539 on DMT and 103 off DMT. Median age and disease duration was 49.7 (IQR 42.4-57.9) and 16.6 years (IQR 9.3-23.0) in the DMT group, and 58.9 (IQR 52.2-65.3) and 20.0 years (IQR 14.1-31.4) in the non-DMT group. Both cohorts were predominantly female (75% DMT, 79.6% non-DMT), with a mean of 4 assessments (IQR 3-5), and an average monitoring duration of 1.9 years (1.2-2.4) in the DMT group, and 1.8 years (1.4-2.4) in the non-DMT group. After adjusting for multiple factors, DMT status and intensity were not found to be significant predictors of longitudinal PST change. Neither DMT status nor intensity was a significant predictor of cognitive processing speed over a period of approximately 2 years. Future prospective studies are needed to further support these findings.

Ultrasparse Ultrasonic Synthetic Aperture Focus Imaging by Passive Sensing.

Ultrasonic synthetic aperture focus techniques (SAFTs) using less than the total number of available array elements to transmit ("sparse" transmissions) have been recently used in both medical imaging and industrial nondestructive testing (NDT) imaging to increase test speed and simplify multiplexer hardware. The challenge of sparse arrays is to obtain a reasonable image quality given the reduced transmitter-receiver combinations available to the beamforming process. This article proposes a "ultrasparse" SAFT method that employs a minimum number of transmitter elements (from one to four elements only) to obtain an entire full-matrix capture (FMC) set of waveforms. Specifically, a "virtual" FMC is obtained from normalized cross-power spectra between each array element pair in an implementation of "passive" ultrasonic sensing. In order to maintain high image quality without sacrificing imaging speed (e.g., applying a minimal initial time delay and keeping a short time recording window), several key steps have to be taken in this "passive" imaging mode, specifically: 1) the use of carefully designed segment-averaged normalized cross-power spectrum (NCPS) for robust passive reconstruction of the ultrasonic impulse response function (IRF) between two receivers; 2) the use of both the causal and acausal portions of the passively reconstructed IRFs; and 3) the compounding of multiple wave modes in the beamforming process. These steps also ensure the elimination of the near-field blind zone hence potentially enabling near-field imaging. The article first reviews the theory of passive IRF reconstruction between two receivers, comparing time-averaged cross correlation versus segment-averaged NCPS, and then demonstrates the application to ultrasparse SAFT FMC imaging of drilled holes in an aluminum block using a linear transducer array where only one to four elements are used in transmission.

A Patented Dietary Supplement (Hydroxy-Methyl-Butyrate, Carnosine, Magnesium, Butyrate, Lactoferrin) Is a Promising Therapeutic Target for Age-Related Sarcopenia through the Regulation of Gut Permeability: A Randomized Controlled Trial.

Adequate diet, physical activity, and dietary supplementation with muscle-targeted food for special medical purposes (FSMP) or dietary supplement (DS) are currently considered fundamental pillars in sarcopenia treatment. The aim of this study is to evaluate the effectiveness of a DS (containing hydroxy-methyl-butyrate, carnosine, and magnesium, for its action on muscle function and protein synthesis and butyrate and lactoferrin for their contribution to the regulation of gut permeability and antioxidant/anti-inflammation activity) on muscle mass (assessed by dual X-ray absorptiometry (DXA)), muscle function (by handgrip test, chair test, short physical performance battery (SPPB) test, and walking speed test), inflammation (tumor necrosis factor-alpha (TNF-a), C-reactive protein (CRP), and visceral adipose tissue (VAT)) and gut axis (by zonulin). A total of 59 participants (age 79.7 ± 4.8 years, body mass index 20.99 ± 2.12 kg/m2) were enrolled and randomly assigned to intervention (n = 30) or placebo (n = 28). The skeletal muscle index (SMI) significantly improved in the supplemented group compared to the placebo one, +1.02 (CI 95%: -0.77; 1.26), p = 0.001; a significant reduction in VAT was observed in the intervention group, -70.91 g (-13.13; -4.70), p = 0.036. Regarding muscle function, all the tests significantly improved (p = 0.001) in the supplemented group compared to the placebo one. CRP, zonulin, and TNF-alpha significantly decreased (p = 0.001) in intervention, compared to placebo, -0.74 mg/dL (CI 95%: -1.30; -0.18), -0.30 ng/mL (CI 95%: -0.37; -0.23), -6.45 pg/mL (CI 95%: -8.71; -4.18), respectively. This DS improves muscle mass and function, and the gut muscle has emerged as a new intervention target for sarcopenia.

DEVELOPMENT OF INTERNET OF THINGS (IoT) BASED FLOOD EARLY WARNING TOOLS

This research is research and development (R&amp;D) using a prototype development model. This research aims to develop an early flood warning system using the Telegram application as an early sender of information, if the water level has reached a predetermined limit. Test results: In terms of Functionality and Usability, the results of the functionality feasibility percentage were 100% and as many as 20 respondents or 100% assessed that the tool developed based on the Usability context was at 100% in the very good category. The detection speed test results show that the detection speed on the device is around 2-3 s and the speed of sending information on Oled is around 2-3 s and the speed of sending information to Telegram is 2-3 s.

Cognitive Decline, Depression, and Sarcopenia: A risk for home care

Abstract Background: The aging process involves a decline in mental and physical abilities. Objective: The aim of this study is to assess the relationship between cognitive decline, depression, and sarcopenia in the community-dwelling elderly population. Methods: This is a quantitative, cross-sectional study. The evaluations were started with a form that contained information of body characteristics (age, sex, height, weight, Body Mass Index, Total Muscle Mass, Total Muscle Mass Index, Abdominal Circumference), sarcopenia characteristics (Calf Circumference, Timed Up and Go Test, Walking Speed Test, Sit and Stand Test, Handgrip Strength Test, and Quadriceps Femoral Strength Test), for the assessment of cognitive decline (Clock Drawing Test), and for depression (Geriatric Depression Scale). Results: A total of 266 community-dwelling elderly people participated in this study, of whom 1/3 had pre-sarcopenia. It was possible to verify that in the Clock Drawing Test (p=0.037) and in the Geriatric Depression Scale (p=0.001), as well as in their question repartition, the group of elderly with pre-sarcopenia presented the worst results. Conclusion: At the end of the study, it was possible to conclude that cognitive decline, depression, and sarcopenia, in fact, are associated. Keywords: Aged, Cognitive Decline, Depression, Sarcopenia.

Effectiveness and Safety of Meridian Activation Remedy System for Alleviating Motor Symptoms in Parkinson's Disease: an Observational Study.

Parkinson's disease (PD) lacks disease-modifying drugs or sustainable interventions, creating an unmet treatment need. Investigating complementary and alternative medicines aims to improve PD patients' quality of life by alleviating symptoms and delaying the course of the disease. In this single-center, prospective, observational, single-arm study, we aimed to assess the effectiveness and safety of acupuncture combined with exercise therapy and the Meridian Activation Remedy System (MARS). From March to October 2021, 13 PD patients with Hoehn and Yahr stages 1 to 3 were recruited. For 8 weeks, MARS intervention was carried out twice a week. T-statistics were used to evaluate functional near-infrared spectroscopy (fNIRS) and GAITRite outcomes. All of the remaining outcome variables were evaluated using the Wilcoxon signed-rank test. The MARS intervention significantly reduced PD patients' Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale (MDSUPDRS) Part III score (from 20.0 ± 11.8 to 8.8 ± 5.5, p = 0.003), 10-meter walk test speed (from 9.5 ± 1.8 to 8.7 ± 1.3 seconds, p = 0.040), and timed up and go time (from 9.8 ± 1.8 to 8.9 ± 1.4 seconds, p = 0.040). Moreover, the MDS-UPDRS Part II, fNIRS hemodynamics, 360-degree turn test, fall efficacy scale, and Parkinson's Disease Questionnaire 39 scores improved but not significantly. All participants completed the 8-week intervention without any adverse reactions. An 8-week MARS intervention improved motor symptoms in PD patients. In particular, improvements in UPDRS Part III scores exhibited large clinically important differences. The findings are encouraging, and a randomized controlled trial will be conducted to determine the efficacy and cost-effectiveness of MARS intervention.

One-Year Post COVID-19 Change in Physical Fitness of Primary School Children and Its Individual-Level Predictors

Objectives. The study aimed to evaluate physical fitness and its dynamics in a year among primary school children aged 7 to 10 years old concerning the child’s individual factors (health-related: physical activity, sedentary behaviour; and psychosocial: physical activity enjoyment). Materials and methods. The study involved a sample consisting of 902 1st-3rd grade students (49% of boys and 51% of girls), who participated in physical fitness testing at baseline and follow-up in a year. Additionally, questionnaire-based data were collected from students and parents. Physical fitness was evaluated by administering eight out of nine tests from a 9-item test battery developed by Fjørtoft et al. (2011). The participants’ height and weight were measured using a mechanical stadiometer platform (Seca 274, Hamburg, Germany; TEM50.01%) and a portable electronic scale — a TANITA BC 420 SMA (Tanita Europe BV, Amsterdam, The Netherlands), respectively. Physical activity, sedentary behaviour, participation in sports, physical activity enjoyment were evaluated by children and parents at different time points. Results. The results indicated that physical fitness had improved from baseline to follow-up, with some exceptions for particular tests and genders. Vigorous physical activity at Time 1 predicted better hand muscle strength (Std β = .18) and agility (Std β = -.12) at Time 2. The findings showed that participation in sports at Time 1 was also predictive of improved agility (Std β =.15). Moderate to vigorous physical activity at Time 1 predicted enhanced speed at Time 2 (Std β = -.16). The motivation for physical activity at Time 2 was found to be related to improvements in agility (Std β = - 0.18) and speed (Std β = -0.30), while there was a decline in hand muscle strength (Std β = -0.11). Altogether, predictors were able to significantly explain 10 percent of agility and 13 percent of speed test results. Conclusions. As children grow and develop, their physical fitness levels tend to change in response to various factors including different physical activity indicators, as well as motivation for engaging in physical activity.

Association of High-Density Lipoprotein Cholesterol with Sarcopenia in Chinese Community-Dwelling Middle-Aged and Older Adults: Evidence from 4-Year Longitudinal Study

Introduction: There is inconsistent evidence on the associations between high-density lipoprotein cholesterol (HDL-C) and risk of sarcopenia. The aim of the study was to determine the evidence existing between HDL-C and sarcopenia in Chinese middle-aged and older adults. Methods: We used a panel study design of the China Health and Retirement Longitudinal Study (CHARLS), with 7,415 participants (mean age 57.5 years) from 2011, 2013, and 2015. HDL-C was measured by colorimetric test of venous serum samples. Sarcopenia was defined as low muscle mass, plus low muscle strength, or low physical performance. Muscle mass was estimated by anthropometric measures. Muscle strength was measured by handgrip strength using dynamometer. Physical performance was measured by 5-time chair stand test, gait speed test, and short physical performance battery. Results: With 961 (13.0%) sarcopenia cases, each 1-unit increase (1 SD = 15.4 mg/dL) of HDL-C levels was associated with 42% increased odds of incident sarcopenia (OR = 1.42, 95% confidence interval [CI] = 1.28–1.58) at 4-year follow-up. Females with high HDL-C levels (HDL-C >60 mg/dL) had a higher risk of sarcopenia (OR = 2.49, 95% CI = 1.76–3.52). The restricted cubic spline curves showed a J-shaped association between HDL-C and risk of sarcopenia in females. HDL-C was negatively associated with muscle mass (β = −0.23, 95% CI = −0.27 to −0.20) and hand grip strength (β = −0.05, 95% CI = −0.19 to 0.09). Conclusion: High HDL-C levels were associated with higher risk of sarcopenia among middle-aged and older Chinese adults, and appropriate control of its high levels informs the management of sarcopenia.

Development of a facial recognition model using optimized convolution neural network with Tiny-ML and fingerprint authentication for safe lock entry

Safe boxes have been used for centuries to protect valuable items, and their design and construction have evolved over time to improve security. In this study, we carried out the design and implementation of a facial recognition technology using optimized convolutional neural networks (CNNs) with TinyML and fingerprint. The facial recognition system is designed using pre-trained CNN architectures then optimized with TinyML to make it fit into resource constrained edge device, the fingerprint recognition is designed using ridge matching biometric algorithm which fits in perfectly into the microcontroller-based system. The safe box was fabricated using sheet metal and insulated using heat resistive material (fiber glass), components like OV2640 camera module, ESP32-S3, R305 Fingerprint sensor, 4.3 inches touch screen TFT display and a charging module to manage and charge the systems battery were used. The system was implemented to be a level two security and two-way verification system using secured Wi-Fi to access the system before the facial and fingerprint recognition functionality is activated, the sequence of operation can either be facial recognition before fingerprint recognition or fingerprint recognition before facial recognition. Evaluating the system’s facial recognition performance with confusion matrix, of all the optimized CNN architectures like VGGNet, SENet, RestNet, MobileNet-V2, EfficientNet-B0, SENet Architecture performed best outputting an accuracy of 98%, precision of 92%, also SENet unoptimized model performed same, MobileNet-V2 performed optimally in the inference speed test with a speed of 15ms/images with the fingerprint also evaluated using confusion matrix and perform with 98% accuracy. It was noticed that the inference speed of the unoptimized model is faster than that of the TinyML optimized model which is justifiable based on the processing clock speed, memory usage, GPU and architecture of the microcontroller/microprocessor. From the result obtained TinyML proves to be suitable mean for edge AI (artificial intelligence) and is recommended for future research and development.

The Association between Countermovement Rebound Jump Metrics and Independent Measures of Athletic Performance

This study investigates the associations between countermovement rebound jump (CMRJ) performance metrics and various independent measures of athletic performance, including the isometric mid-thigh pull (IMTP), 20 m linear sprint, and 505 change-of-direction (COD) speed tests. Pearson’s correlations were used to analyse the relationship between the CMRJ measures with athletic performance, with significance being set at p ≤ 0.006. Results showed large significant positive relationships between IMTP peak force and force at 300 milliseconds with the first jump height of the CMRJ (JH-1, r = 0.54 to 0.55, p ≤ 0.002). Additionally, inverse relationships were observed between reactive strength index modified (RSImod) and reactive strength index (RSI) with 20 m sprint total and split times (r = −0.55 to −0.66, p ≤ 0.001), and the 10 m and total sprint times were significantly correlated with JH-1 (r = −0.54, p = 0.003), indicating that greater vertical explosive power and reactive strength are associated with faster sprint performance. Finally, a significant inverse relationship was identified between CMRJ metrics (two JH values and RSImod) and 505 COD times in both the left and right sides (r = −0.51 to −0.68, p ≤ 0.006). These findings suggest that CMRJ performance metrics are valuable indicators of lower-limb explosive force production, with a strong link to both linear sprint and COD performance. The finding underscores the importance of including CMRJ assessments in athletic performance evaluations due to their dual assessment capacity of slow and fast stretch–shortening cycle mechanics.

Mathematical Modeling of SOIC Package Dynamics in Dielectric Fluids during High-Voltage Insulation Testing

The efficient testing and validation of the high-voltage (HV) insulation of small-outline integrated circuit (SOIC) packages presents numerous challenges when trying to achieve faster and more accurate processes. The complex behavior these packages when submerged in diverse physical media with varying densities requires a detailed analysis to understand the factors influencing their behavior. We propose a systematic and scalable mathematical model based on trapezoidal motion patterns and a deterministic analysis of hydrodynamic forces to predict SOIC package misalignment during automated high-voltage testing in a dielectric fluid. Our model incorporates factors known to cause misalignment during the maneuvering of packages, such as surface tension forces, sloshing, cavity formation, surface waves, and bubbles during the insertion, extraction, and displacement of devices while optimizing test speed for minimum testing time. Our model was validated via a full-factorial statistical experiment for different SOIC package sizes on a pick-and-place (PNP) machine with preprogrammed software and a zero-insertion force socket immersed in different dielectric fluids under controlled thermal conditions. Results indicate the model achieves 99.64% reliability with a margin of error of less than 4.78%. Our research deepens the knowledge and understanding of the physical and hydrodynamic factors that impact the automated testing processes of high-voltage insulator SOIC packages of different sizes for different dielectric fluids. It enables improved testing times and higher reliability than traditional trial-and-error methods for high-voltage SOIC packages, leading to more efficient and accurate processes in the electronics industry.

Test conditions impact measures of visual, perceptual, and cognitive performance

Traditionally, visual, perceptual, and cognitive (VPC) testing is performed in well-lit, silent rooms, whilst seated, and with little incentive. Whilst this is a well-controlled setting, it may lack key features of ecological validity and therefore generalisations to real-world environments and tasks may be erroneous. In the present study, 60 participants completed tests of processing speed, divided attention, and selective attention under varying conditions of light, auditory demands, movement demands, and incentive. The results found that processing speed was significantly better in the incentive condition compared to the non-incentive condition; and in the seated and standing conditions compared to the stepping condition. Divided attention and selective attention were significantly worse in the silent condition compared to the music conditions. No significant differences were found between light and dark conditions. These findings demonstrate that performance on the VPC tests is affected by auditory conditions, movement conditions, and incentives, but not light conditions.

The Influence of Functional Movement and Strength upon Linear and Change of Direction Speed in Male and Female Basketball Players.

The present study aimed to analyse the relationship between functional movement and strength variables upon linear speed (Ls) and change of direction (COD) based on gender. It also aimed to identify the determinants of performance of Ls and COD according to gender. Fifty basketball players (54% female) completed the assessment in which the weight-bearing dorsiflexion test, the Y-balance test, the unilateral countermovement jump, the unilateral drop jump, the unilateral triple hop test, Ls and CODs were performed. Speed variables were divided according to time execution into "low-performance" and "high-performance" to establish a comparison between performance groups. Strength variables significantly influenced speed tests' performance in both genders (p < 0.05). For males, the greater the Ls, the higher the change of direction deficit (p < 0.001). Multiple regression analysis revealed that a long and vertical stretch-shortening cycle (SSC) was the most influential physical ability for speed performance in females (45-65% variance explained; p < 0.001), while in males, a short and horizontal SSC played a significant role (30-61% variance explained; p < 0.022). These results suggest that gender should be considered in programming strength training to improve speed, as each gender will benefit most from the application of different force-orientations and different SSC. Also, the faster the male players were in Ls, the less efficient they were in the COD performance. This is why for men, it would be recommended to perform eccentric exercises along with deceleration and technique drills to improve COD speed.