Balance Performance Research Articles

Comparative Analysis of Four Different Intraoral Scanners: An In Vitro Study.

(1) Background: Intraoral scanners undergo rapid advancements in hardware and software, prompting frequent updates by manufacturers. (2) Aim: This study aimed to quantitatively assess the precision of full dental arch digital impressions obtained from four different intraoral scanners: Trios 5-3SHAPE, Copenhagen, Denmark, CEREC Primescan- Dentsply Sirona, New York, NY, USA, Planmeca Emerald S-Planmeca Oy, Helsinki, Finland, and Medit i700-Medit Corp, Seoul, Republic of Korea. (3) Methods: A maxillary virtual dental model (digital master model) was created in accordance with ISO standard 20896-1. Subsequently, a 3D-printed model was obtained from the master model's STL file and scanned 15 times consecutively with each scanner. STL files were aligned with the master model's STL using Medit Link-Medit Design software v.3.1.0. The accuracy was evaluated by measuring deviations in micrometers between each scanner's scans and the master model. (4) Results: The study revealed variations in accuracy ranging from 23 to 32 µm across scans of the same dental arch, irrespective of the scanner used and scanning strategy employed. The anterior regions exhibited higher precision (Mean Absolute Deviation of 112 µm) compared to the posterior regions (Mean Absolute Deviation of 127 µm). Trios 5 demonstrated the smallest deviation (average 112 µm), indicating superior accuracy among the scanners tested. Emerald S and Medit i700 exhibited balanced performance (average 117 µm and 114 µm, respectively), while Primescan consistently displayed high deviation (average 127 µm). (5) Conclusions: Based on clinically accepted thresholds for accuracy in intraoral scanning, which are typically 200 µm for full arch scans, Trios 5 surpasses these benchmarks with its average deviation falling within the 200 µm range. Emerald S and Medit i700 also meet these standards, while Primescan, although showing high overall deviation, approaches the upper limit of clinical acceptability. Considering the limitations of an in vitro investigation, the findings demonstrate that each intraoral scanner under evaluation is capable of reliably and consistently capturing a full arch scan for dentate patients.

Automated Laryngeal Invasion Detector of Boluses in Videofluoroscopic Swallowing Study Videos Using Action Recognition-Based Networks.

We aimed to develop an automated detector that determines laryngeal invasion during swallowing. Laryngeal invasion, which causes significant clinical problems, is defined as two or more points on the penetration-aspiration scale (PAS). We applied two three-dimensional (3D) stream networks for action recognition in videofluoroscopic swallowing study (VFSS) videos. To detect laryngeal invasion (PAS 2 or higher scores) in VFSS videos, we employed two 3D stream networks for action recognition. To establish the robustness of our model, we compared its performance with those of various current image classification-based architectures. The proposed model achieved an accuracy of 92.10%. Precision, recall, and F1 scores for detecting laryngeal invasion (≥PAS 2) in VFSS videos were 0.9470 each. The accuracy of our model in identifying laryngeal invasion surpassed that of other updated image classification models (60.58% for ResNet101, 60.19% for Swin-Transformer, 63.33% for EfficientNet-B2, and 31.17% for HRNet-W32). Our model is the first automated detector of laryngeal invasion in VFSS videos based on video action recognition networks. Considering its high and balanced performance, it may serve as an effective screening tool before clinicians review VFSS videos, ultimately reducing the burden on clinicians.

Performance Evaluation and Comparative Analyses of Tuned Inerter Damper for Stochastic Base Excited Structures Based on Hybrid H2/H∞ Optimization

Compared with tuned mass damper, tuned inerter damper (TID) has higher damping efficiency and lightweight characteristic if appropriate optimal methods are selected. Generally, [Formula: see text] or [Formula: see text] optimal methods are adopted to determine the optimal parameters of TID individually. But the vibration mitigation performance of the TID under near resonance frequency band based on [Formula: see text] optimization is less than [Formula: see text] optimization, but the peak frequency response based on [Formula: see text] optimization will be greater than [Formula: see text] optimization at the same time. Dual-characteristic-based vibration control may not be achievable based on [Formula: see text] or [Formula: see text] criteria, respectively. For this reason, hybrid [Formula: see text] optimization can be adopted. In this work, closed-form expressions are derived for the control of structural displacement responses based on hybrid [Formula: see text] optimal method. The vibration mitigation performance of the different optimized TIDs is evaluated considering the single-degree-of-freedom and multi-degrees-of-freedom systems are subjected to typical ground motions excitation. Results illustrate that because of the use of the optimal stiffness ratio of [Formula: see text] optimization and very close value of [Formula: see text] optimizations’ nominal damping ratio in [Formula: see text] optimization, [Formula: see text] optimization shows ‘dual characteristics’ in different excitation situations. Specifically, the peak response and structural fundamental frequencies’ response in displacement frequency response function using hybrid [Formula: see text] optimal methods are between [Formula: see text] and [Formula: see text] optimization, which indicates an excellent and balanced control performance combining the advantages of [Formula: see text] and [Formula: see text] optimal solutions. Hence, this hybrid method is more suitable for more complex ground motions excitation to control critical structural responses instead of single characteristic excitation. And the comprehensive vibration control in dynamic time histories analyses can be achieved by this dual characteristic-based optimal strategy. When designing the specific TID, hybrid [Formula: see text] optimization can be considered as the best choice for its compatibility and high adaptability for complex practical engineering scenarios with random and diverse excitations.

Analysis of a balanced safety performance indicator as a key element of operational controlling in the ATS organization

Controlling is considered as a versatile modern focus of management. It is widespread in various fields of human activity but has not found direct application in civil aviation yet. Meanwhile, any aviation organization is subject to the general laws of management, therefore, controlling can and should find its application in the management of an aviation organization. Due to the particular importance of safety management considerations, controlling, as a management concept that allows you to control processes rather than results, fits seamlessly into the procedures of safety management systems (SMS) of aviation service providers. In particular, the development and monitoring of safety performance indicators (SPI) can be considered as a key element of operational controlling. In the SMS, the procedure to deal with the SPI, in conjunction with the risks mitigation procedure for safety, is an essential component of the entire system. To ensure the effectiveness of this procedure in the Air Traffic Service (ATS) organization, it is necessary to develop a balanced overall SPI. As the analysis showed, the indicators applicable in ATS organizations are focused on considering only incidents of the same “weight” and do not objectively reflect a level of safety assurance at ATS and its dynamics. The article presents a variant of developing a revised balanced indicator, which considers less significant deviations from the proper ATS system operation, errors and violations of personnel. The indicator was developed on the basis of the expert survey of ATS specialists. Monitoring and predicting of indicators are also important tasks of operational controlling. These problems can be solved by various methods, the applicability and comparative effectiveness of some of them are discussed in this article. All calculations are based on real data of one of the major ATS organizations of the Russian Federation.

THE RELATIONSHIP BETWEEN WORKLOAD, TECHNOSTRESS, WORK LIFE BALANCE AND EMPLOYEE PERFORMANCE IN THE REGIONAL SECRETARIAT OF THE CITY OF SURABAYA

Bureaucratic Reform is one way to achieve good governance and make fundamental changes and renewals to the government administration system, especially in terms of institutional (organizational), administrative and human resource aspects. Through improvements to human resources. This study was conducted at the Regional Secretariat of Surabaya City with the aim of determining the relationship between the influence of workload, technostress, work life balance and employee performance. The research method is a quantitative approach where variables are measured using a Likert scale. The population in this study were employees who use technology in their work. Sampling was taken with a 95% confidence level using the Slovin technique, 193 people were obtained. The research variables consist of three independent variables, namely workload, technostress, work life balance and the dependent variable is employee performance. Data collection was carried out by distributing questionnaires. The results of the data collection were then analyzed using the Structural Equation Modeling Technique using the SMART PLS – 3 application. The results of the study showed that: (1) Workload has a positive effect on Technostress at the Surabaya City Regional Secretariat (2) Technostress does not affect Employee Performance at the Surabaya City Regional Secretariat. (3) Workload does not affect Employee Work Life Balance at the Surabaya City Regional Secretariat. (4) Work Life Balance has a positive effect on Employee Performance at the Surabaya City Regional Secretariat (5) Technostress has a negative effect on Work Life Balance at the Surabaya City Regional Secretariat (6) Workload does not have a significant negative effect on Employee Performance at the Surabaya City Regional Secretariat.

Effects of proprioceptive training on sports performance: a systematic review

BackgroundProprioception, the ability to sense the body’s position and movement, is essential for athletic performance and physical well-being. The literature highlights the importance of proprioceptive training in rehabilitation, sports performance, injury prevention, and motor function enhancement. Targeted training programs can improve balance, coordination, motor learning, and overall physical performance. This systematic review aimed to examine the effects of proprioceptive training methods on sports and athletic performance.MethodsA comprehensive search was conducted using the Web of Science, PubMed, and Scopus databases, and a literature review was performed based on the PICO criteria outlined in the abstract and title.ResultsFollowing the search, 178 articles were identified using relevant keywords, of which 19 directly addressed sports performance and were included in this study. The findings revealed that proprioceptive training had a positive influence on various aspects of athletic performance, including physiological capacity, balance, explosive strength, speed, agility, postural stability, knee joint position sense, muscle activation, reduction of chronic joint instability, dribbling, passing, and technical ball-control skills.ConclusionsThese results indicate that proprioceptive training can be an effective strategy for experts and coaches to enhance athletes’ physical performance. Primarily, proprioceptive exercises should be used inside and outside the training sessions to enable athletes to interact more effectively with their bodies, reduce the risk of injury, and improve power transfer.

Performance-prescribed optimal neural control for hypersonic vehicles considering disturbances: An adaptive dynamic programming approach

The precise trajectory tracking control of hypersonic vehicles plays a crucial role in secure flight. To address this challenge, this article develops an optimal neural control framework with prescribed performance constraints for height-velocity control tasks with disturbances. To this end, the control-oriented error model is firstly established and transformed into an affine nonlinear form to provide a foundation for the design of controller. Then, in order to balance performance constraints and convergence speed, a performance-constraint function is introduced to convert the constrained tracking error into an unconstrained one. After that, an improved sliding mode compensation observer is proposed by combining low-fidelity approximation data with high-fidelity compensation model for eliminating disturbances. The developed control scheme is organized by an adaptive dynamic programming (ADP) algorithm based on the actor-critic policy structure to achieve the near-optimal control strategy. Meanwhile, the designed neural network (NN) weight updating laws are provided to obtain the solution of Hamiltonian-Jacobi-Bellman (HJB) equation rapidly without high calculation consumption. Finally, the stability conditions of the closed-loop system are performed and ensure the entire framework is semi-global uniformly ultimately bounded (SGUUB), two simulation cases verify the effectiveness and superiority of the proposed approach.

Context-dependent reduction in corticomuscular coupling for balance control in chronic stroke survivors.

Balance control is an important indicator of mobility and independence in activities of daily living. How the functional coupling between the cortex and the muscle for balance control is affected following stroke remains to be known. We investigated the changes in coupling between the cortex and leg muscles during a challenging balance task over multiple frequency bands in chronic stroke survivors. Fourteen participants with stroke and ten healthy controls performed a challenging balance task. They stood on a computerized support surface that was either fixed (low difficulty condition) or sway-referenced with varying gain (medium and high difficulty conditions). We computed corticomuscular coherence between electrodes placed over the sensorimotor area (electroencephalography) and leg muscles (electromyography) and assessed balance performance using clinical and laboratory-based tests. We found significantly lower delta frequency band coherence in stroke participants when compared with healthy controls under medium difficulty condition, but not during low and high difficulty conditions. These differences were found for most of the distal but not for proximal leg muscle groups. No differences were found at other frequency bands. Participants with stroke showed poor balance clinical scores when compared with healthy controls, but no differences were found for laboratory-based tests. The observation of effects at distal but not at proximal muscle groups suggests differences in the (re)organization of the descending connections across two muscle groups for balance control. We argue that the observed group difference in delta band coherence indicates balance context-dependent alteration in mechanisms for the detection of somatosensory modulation resulting from sway-referencing of the support surface for balance maintenance following stroke.

Metformin Protects Non Diabetic rats from LPS-Induced Cognitive and Locomotor dysfunctions and Role of vitamin B12 Supplementation

Abstract Background and Objectives Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by a progressive deterioration of cognitive functions and its initial symptoms are easily mistaken for stress or ageing. The current study was conducted to throw light on the effect of metformin, solely and in combination with vitamin B12, on LPS –induced AD like neurodegeneration and to elucidate the underlying mechanisms in non diabetic rats. Methods 35 adult albino male rats, were randomly allocated into the following groups: Group I: Control rat group (C), Group II: LPS- induced Alzheimer group (LPS), Group III: LPS-induced Alzheimer’s disease group supplemented with metformin: (LPS-Metformin), Group IV: LPS- induced Alzheimer’s disease group supplemented with metformin & Vitamin B12: (LPS- Metformin & vit B12). Behavioral assessment tests were done. At the end of the study, serum glucose, insulin, and plasma vit B12, malondialdehyde (MDA), glutathione peroxidase (GPX), tumor necrosis factor α (TNF α), and interleukin-6 (IL-6) levels were assessed. Histopathological examination of the brain tissue was also performed. Results The results of behavioral tests revealed that the time consumed by the animal for reaching the platform at the water maze test was significantly prolonged, while the time stability values by the animal at low and high velocities at rotarod test were significantly decreased in the LPS group compared to the control group. The biochemical results revealed that serum glucose and insulin, as well as HOMA-IR values, were significantly increased while plasma vit B12 was significantly decreased in the LPS group compared to the control group. Upon treatment with metformin solely or in combination with vitamin B12, these changes were improved. These results were further confirmed by histopathological examinations. Conclusion Metformin had a prophylactic effect on LPS induced neurodegenerative disease like dementia as it enhanced cognitive function, however it did not change locomotor and balance performance. This was explained, partially by its anti-inflammatory and anti-oxidant effects.

O-004 Oocyte image assessment by novel artificial intelligence (AI) model predicts blastocyst PGT-A results, outperforming age as a predictor

Abstract Study question Can a non-invasive, image analysis artificial intelligence (AI) model be built to predict the likelihood that a mature oocyte will develop into a euploid blastocyst? Summary answer A novel AI model was developed to assess images of mature oocytes, predicting chromosomal ploidy status of the developed blastocyst with an AUC of 0.71. What is known already The genetic status of blastocysts greatly impacts implantation and cycle success; therefore, PGT-A has become widely adopted as routine to aid in blastocyst selection for transfer and aims to decrease the time to pregnancy. Most chromosomal abnormalities arising in a blastocyst embryo are of maternal meiotic origin–indicating that the oocyte may have valuable information to be harnessed at the earliest stage in the process. Gaining insights into the potential genetic status of a blastocyst at the oocyte stage in a non-invasive manner would provide critical information to the overall fertility cycle. Study design, size, duration This study included a labeled dataset—9,260 images of mature denuded oocytes, immediately post-ICSI—from 3 clinics (Canada, United States (US), Spain) with euploid or aneuploid trophectoderm biopsy results (excluding mosaic/inconclusive embryos, n = 980). The labeled dataset was split into training (60%), validation (20%), and test (20%). An unlabeled dataset was also included—34,709 oocyte images (2 clinics; Canada, US)—and utilized in training. An external dataset (n = 473) from a separate US clinic was assessed for model generalization. Participants/materials, setting, methods Fully-supervised and semi-supervised machine learning models were experimented to predict blastocyst PGT-A from oocyte images. The labeled data were utilized in both methods. The semi-supervised method integrates unlabeled data using the well-known Mixmatch algorithm—learning important features from augmented images (with pseudo labels) that were then utilized in the supervised phase to predict outcomes. Age was incorporated into the models, therefore, a model only using age to predict ploidy was developed to act as a comparison. Main results and the role of chance Following various experiments, the fully-supervised model displayed an AUC 0.61, sensitivity 0.41, specificity 0.76, and accuracy 0.62 on the test set. The semi-supervised model displayed a performance of AUC 0.71, sensitivity 0.63, specificity 0.67, and accuracy 0.65–notably higher AUC and balanced performance on the positive/negative classes. The semi-supervised method benefits from both labeled and augmented unlabeled data for enhanced learning efficacy. The model utilizing age only to predict ploidy was extremely imbalanced in performance on the test set with AUC 0.63, sensitivity 1, specificity 0, and accuracy 0.48, confirming the importance of image features. Performance of the semi-supervised model was assessed by clinic. On Clinic 1 (n = 364; 40% euploid) it displayed AUC 0.61, sensitivity 0.60, specificity 0.56, and accuracy 0.58; on Clinic 2 (n = 675; 52% euploid) it displayed AUC 0.64, sensitivity 0.56, specificity 0.65, and accuracy of 0.60; on Clinic 3 (n = 466; 50% euploid) it displayed significantly better performance with AUC 0.85, sensitivity 0.76, specificity 0.79, and accuracy 0.77–warranting further investigation into model generalizability. On the external dataset (n = 473, 58% euploid), the semi-supervised model displayed improved performance (AUC 0.62, sensitivity 0.61, specificity 0.61, accuracy 0.60) in comparison to the age only model (AUC 0.59, sensitivity 1, specificity 0, accuracy 0.58). Limitations, reasons for caution This dataset includes oocytes that developed into blastocysts and underwent PGT-A. Datasets including oocytes that did not reach the blastocyst stage must also be assessed to validate the model’s clinical utility. Despite utilizing diverse data, advancing the generalizability of the model requires additional investigations to ensure balanced performance across clinics. Wider implications of the findings Utilizing images of mature oocytes, an AI model predicts the ploidy status of resulting blastocysts, providing a powerful tool for assessing oocyte quality and genetic integrity. These preliminary findings are promising for those undergoing oocyte cryopreservation by striving to elucidate genetic potential at the earliest phase of the IVF process. Trial registration number Not applicable.

Age-related decline in GABAergic intracortical inhibition can be counteracted by long-term learning of balance skills.

Ageing induces a decline in GABAergic intracortical inhibition, which seems to be associated not only with decremental changes in well-being, sleep quality, cognition and pain management but also with impaired motor control. So far, little is known regarding whether targeted interventions can prevent the decline of intracortical inhibition in the primary motor cortex in the elderly. Therefore, the present study investigated whether age-related cortical dis-inhibition could be reversed after 6months of balance learning and whether improvements in postural control correlated with the extent of reversed dis-inhibition. The results demonstrated that intracortical inhibition can be upregulated in elderly subjects after long-term balance learning and revealed a correlation between changes in balance performance and intracortical inhibition. This is the first study to show physical activity-related upregulation of GABAergic inhibition in a population with chronic dis-inhibition and may therefore be seminal for many pathologies in which the equilibrium between inhibitory and excitatory neurotransmitters is disturbed. KEY POINTS: Ageing induces a decline in GABAergic intracortical inhibition. So far, little is known regarding whether targeted interventions can prevent the decline of intracortical inhibition in the primary motor cortex in the elderly. After 6months of balance learning, intracortical inhibition can be upregulated in elderly subjects. The results of this study also revealed a correlation between changes in balance performance and intracortical inhibition. This is the first study to show physical activity-related upregulation of GABAergic inhibition in a population with chronic dis-inhibition.

Individual and team performance in cricket.

Advancements in technology have recently allowed us to collect and analyse large-scale fine-grained data about human performance, drastically changing the way we approach sports. Here, we provide the first comprehensive analysis of individual and team performance in One-Day International cricket, one of the most popular sports in the world. We investigate temporal patterns of individual success by quantifying the location of the best performance of a player and find that they can happen at any time in their career, surrounded by a burst of comparable top performances. Our analysis shows that long-term performance can be predicted from early observations and that temporary exclusions of players from teams are often due to declining performances but are also associated with strong comebacks. By computing the duration of streaks of winning performances compared to random expectations, we demonstrate that teams win and lose matches consecutively. We define the contributions of specialists such as openers, all-rounders and wicket-keepers and show that a balanced performance from multiple individuals is required to ensure team success. Finally, we measure how transitioning to captaincy in the team improves the performance of batsmen, but not that of bowlers. Our work emphasizes how individual endeavours and team dynamics interconnect and influence collective outcomes in sports.

Glioma Grade and Molecular Markers: Comparing Machine-Learning Approaches Using VASARI (Visually AcceSAble Rembrandt Images) Radiological Assessment.

This study aimed to leverage Visually AcceSAble Rembrandt Images (VASARI) radiological features, extracted from magnetic resonance imaging (MRI) scans, and machine-learning techniques to predict glioma grade, isocitrate dehydrogenase (IDH) mutation status, and O6-methylguanine-DNA methyltransferase (MGMT) methylation. A retrospective evaluation was undertaken, analyzing MRI and molecular data from 107 glioma patients treated at a tertiary hospital. Patients underwent MRI scans using established protocols and were evaluated based on VASARI criteria. Tissue samples were assessed for glioma grade and underwent molecular testing for IDH mutations and MGMT methylation. Four machine learning models, namely, Random Forest, Elastic-Net, multivariate adaptive regression spline (MARS), and eXtreme Gradient Boosting (XGBoost), were trained on 27 VASARI features using fivefold internal cross-validation. The models' predictive performances were assessed using the area under the curve (AUC), sensitivity, and specificity. For glioma grade prediction, XGBoost exhibited the highest AUC (0.978), sensitivity (0.879), and specificity (0.964), with f6 (proportion of non-enhancing) and f12 (definition of enhancing margin) as the most important predictors. In predicting IDH mutation status, XGBoost achieved an AUC of 0.806, sensitivity of 0.364, and specificity of 0.880, with f1 (tumor location), f12, and f30 (perpendicular diameter to f29) as primary predictors. For MGMT methylation, XGBoost displayed an AUC of 0.580, sensitivity of 0.372, and specificity of 0.759, highlighting f29 (longest diameter) as the key predictor. This study underscores the robust potential of combining VASARI radiological features with machine learning models in predicting glioma grade, IDH mutation status, and MGMT methylation. The best and most balanced performance was achieved using the XGBoost model. While the prediction of glioma grade showed promising results, the sensitivity in discerning IDH mutations and MGMT methylation still leaves room for improvement. Follow-up studies with larger datasets and more advanced artificial intelligence techniques can further refine our understanding and management of gliomas.

Light load jump squat and plyometric training enhance jumping, sprinting, change of direction, and balance performance of male soccer players (U-19): a randomized controlled trial.

In sports science, optimizing athletic performance is pursued through an emerging approach that combined light-loaded squat (LLS) training and plyometric jump training (PJT), targeting strength, power, and neuromuscular adaptations, particularly beneficial for the dynamic demands of youth soccer. The aim of this study was to examine the effect of a combined LLS training and PJT program on athletic performance and balance in youth soccer players. Thirty-two male players were randomly assigned to two groups: an experimental group (EG: N.=16; age: 18.56±0.51 years; body mass: 66.87±4.99 kg; height: 1.78±0.07 m) and a control group (CG: N.=16; age: 18.68±0.47 years; body mass: 67.93±4.58 kg; height: 1.77±0.07 m) from the same U19 team of a professional club voluntarily participated in the study. Squat jump (SJ), countermovement jump (CMJ), horizontal jump (HJ), drop jump (DJ), 30 m sprint (30 mS), change of direction ability (4×5 m sprint test [S 4×5 m]) and static balance (the stork balance) performance tests were carried out in the week before and the week after the 8 weeks with combined LLS and PJT period. The two-way analysis of variance (ANOVA) was used for all tests. The results of this study show that the EG had significantly greater improvements than the CG in all tests (all P<0.001). Also, EG experienced higher performance between preintervention and post intervention measures (all P<0.05). There was no significant difference between the two groups in the 4×5mS performance (P>0.05). We conclude that coaches may be advised to use the combined LLS and PJT since it is as effective as traditional methods and perfect for sports and activities requiring fast, explosive movements during the in-season period than regular training.

Crack Tip Localization in Adhesively Bonded CFRP-CFRP Joints subjected to Mode II Fatigue Loading

The use of resin-based composite materials in place of metals has gained prominence across various industries. Such composites offer a superior strength-to-weight ratio, addressing the increasing demand for lightweight structures to reduce emissions. As such, structural joining of composite materials is of growing importance. Traditional fasteners, however, not only compromise weight savings, but also introduce weak points within the structure. Adhesive bonding emerges as the most promising joining technology, balancing weight efficiency and performance. However, its broader adoption for primary structural joints is hindered by a lack of standardization of quality control and non-destructive inspection techniques and concerns about long-term reliability. To address this challenge, the “CERTBOND” COST Action initiative (CA18120) was established to investigate adhesive bonding and develop a reliable certification roadmap for bonded primary structures. As part of this initiative, a Mode II fatigue loading Round Robin study was conducted on adhesively bonded CFRP-CFRP End-Notched Flexure specimens. While conducting the fatigue tests, supplementary techniques for estimating the crack tip position were employed. The selected techniques included visual testing (employing two different methods), ultrasonic phased array testing, distributed strain sensing using optical backscatter reflectometry, digital image correlation, and localization by acoustic emission. The present study describes, compares and discusses the results obtained by the cited localization techniques.

The Effectiveness of Strengthening Exercise on Improving Physical Function in Chronic Dialysis with Comorbidity: A Case Study

BACKGROUND: Individuals living with End stage renal disease (ESRD) on long term hemodialysis (HD) generally has a sedentary life style. This leads to reduction of physical function and poor quality of life. Exercise intervention improves muscular strength, physical fitness and Quality of life (QOL) in maintained hemodialysis Individuals. CASE SCENARIO: A 67-year-old female presented with chronic hemodialysis period was carried on wheelchair with the help of relative as she was referred to physiotherapy department with chief complain of weakness in both lower limb and difficulty in walking for 1 year. In this case along with chronic dialysis related dysfunction, patient had atherosclerosis had an acute coronary event and she was on AKT since last one year as she was having pott’s spine. METHODOLOGY: In our evaluation, she had full range of motion of lower limb with muscle weakness by manual muscle testing (MMT=3-4/5), Reduced balance and physical performance by short physical performance battery (SPPB=4/12), and partially dependent for functional activity by functional independent measure (FIM= 81/126). In Physiotherapy intervention: Exercise program started with active exercise, cycling, balance and gait training. Progressively in active exercise increased weight with weight cuff, increase cycling time and task specific balance activities with independent walking each week. RESULT: After four week of intervention improvement in muscle strength (MMT=4-5/5), balance (SPPB=7/12), minimal assistance in functional activities (FIM=109/126). CONCLUSION: Individualized strengthening exercise program improve physical function and muscle strength in chronic dialysis patient. Keywords: Hemodialysis, physical function, muscle strength.

Effects of textured insoles on dynamic balance and ankle muscle activity in soccer players with and without chronic ankle instability.

Chronic ankle instability (CAI) poses challenges in sports. Textured insoles (TI) are a promising intervention for enhancing dynamic balance in CAI athletes. This study aimed to investigate the effects of TI on dynamic balance performance and ankle muscle activity in soccer players with and without CAI. Thirty-eight soccer players (19 CAI, 19 non-CAI) participated. Participants performed a modified star excursion balance test (mSEBT) while wearing TI and standard insoles (SI). The %SEBT reach distance and electromyography (EMG) activity of tibialis anterior (TA), medial gastrocnemius (MG), and peroneus longus (PL) were measured during maximum reached in each direction of the mSEBT. No significant effects or interactions were found between ankle conditions (CAI vs. non-CAI) or insole types (TI vs. SI) on %SEBT reach. However, CAI players showed greater MG activity in posteromedial and posterolateral direction (P=0.04, P=0.01). Overall, the application of TI did not have immediate effects on dynamic balance performance or ankle muscle activity in either CAI or non-CAI soccer players. Nonetheless, CAI players seemed to employ a different ankle strategy involving the MG muscle, possibly to control stability during dynamic movement, particularly in the posteromedial and posterolateral directions.

An integrated ergonomic risk assessment framework based on fuzzy logic and IVSF-AHP for optimising ergonomic risks in a mixed-model assembly line

This study proposes a systematic approach to address ergonomic factors, including physical, environmental and psychosocial aspects, in solving assembly line balancing problems. A three-stage framework is developed, starting with determining weights for ergonomic risk assessment methods using the interval-valued spherical fuzzy analytical hierarchy process. In the second stage, a fuzzy logic model for integrated ergonomic risk assessment is constructed based on these weights, and the integrated ergonomic risk score is determined. In the third stage, a mathematical model is formulated to minimise the cycle time while balancing the ergonomic risk level. A case study conducted in a wire harness factory validated the effectiveness of the proposed approach, showing a 10–11% improvement in line efficiency and a 12–25% enhancement in ergonomic risk balancing performance. These findings underscore the potential benefits of implementing this approach, which can significantly improve occupational safety and overall performance.

Enhancing ECG Heartbeat classification with feature fusion neural networks and dynamic minority-biased batch weighting loss function

Objective. This study aims to address the challenges of imbalanced heartbeat classification using electrocardiogram (ECG). In this proposed novel deep-learning method, the focus is on accurately identifying minority classes in conditions characterized by significant imbalances in ECG data. Approach. We propose a feature fusion neural network enhanced by a dynamic minority-biased batch weighting loss function. This network comprises three specialized branches: the complete ECG data branch for a comprehensive view of ECG signals, the local QRS wave branch for detailed features of the QRS complex, and the R wave information branch to analyze R wave characteristics. This structure is designed to extract diverse aspects of ECG data. The dynamic loss function prioritizes minority classes while maintaining the recognition of majority classes, adjusting the network’s learning focus without altering the original data distribution. Together, this fusion structure and adaptive loss function significantly improve the network’s ability to distinguish between various heartbeat classes, enhancing the accuracy of minority class identification. Main results. The proposed method demonstrated balanced performance within the MIT-BIH dataset, especially for minority classes. Under the intra-patient paradigm, the accuracy, sensitivity, specificity, and positive predictive value for Supraventricular ectopic beat were 99.63 % , 93.62 % , 99.81 % , and 92.98 % , respectively, and for Fusion beat were 99.76 % , 85.56 % , 99.87 % , and 84.16 % , respectively. Under the inter-patient paradigm, these metrics were 96.56 % , 89.16 % , 96.84 % , and 51.99 % for Supraventricular ectopic beat, and 96.10 % , 77.06 % , 96.25 % , and 13.92 % for Fusion beat, respectively. Significance. This method effectively addresses the class imbalance in ECG datasets. By leveraging diverse ECG signal information and a novel loss function, this approach offers a promising tool for aiding in the diagnosis and treatment of cardiac conditions.

Foot health and physical fitness: investigating the interplay among flat feet, body balance, and performance in junior high school students

Background and Study Aim. Foot health and physical fitness in children are closely interconnected, playing a vital role in ensuring their overall well-being and performance. This study aims to determine the relationship between flat feet, body balance, and physical performance of junior high school students. Material and Methods. A total of 109 junior high school students from five schools in Surabaya, Indonesia, with ages ranging from 12 to 14 years, participated in this research. Data collection was through the wet footprint test, stork standing balance test, Bass test, Y-agility Test, and Illinois Change of Direction Test. The correlation of flat feet with static and dynamic balance and physical performance in the school environment was analyzed using the non-parametric Spearman Rank statistical test. Results. The results showed significant relationships between foot grade and static balance, dynamic balance, agility, and change of direction. These relationships were indicated by correlation coefficients that showed statistical significance at p &lt; 0.05. Additionally, static and dynamic balance exhibited a negative correlation, while agility and change of direction showed a positive correlation. This suggests that higher foot grades corresponded to longer durations in static and dynamic balance tests and shorter completion times in agility and change of direction tasks. Conclusions. The findings of this study highlight the importance of investigating the relationship between flat feet, body balance, and physical performance among junior high school students. Understanding these correlations is crucial for optimizing the overall well-being and performance of adolescents.