Balance Performance Research Articles

Acute Effects of Myofascial Release on Foot Mobility and Performance in Basketball Players with Hypomobile Feet—A Randomized Controlled Trial

Hypomobility in the foot structure causes functional limitations. These functional limitations affect sportive performance negatively, especially in basketball, where dynamic movements such as jumping and sudden changes in direction are very intense. In this context, reducing hypomobility is important in terms of eliminating performance disorders caused by hypomobility. The purpose of this study was to investigate the acute effects of myofascial release on foot mobility and sportive performance in basketball players with hypomobile feet. This study was designed as randomized controlled experimental research. Twenty-four male basketball players (23.46 ± 2.81 years) participated in this study. The athletes were first subjected to foot mobility, balance and vertical jump tests. Then, the participants were divided into two groups: myofascial release (MR) and placebo myofascial release (PMR). Myofascial release (Graston technique) was applied to the MR group, and placebo myofascial release was applied to the PMR group. After application, foot mobility and performance measurements were performed again, and the results were analyzed. It was observed that there was a significant difference in right foot mobility (d = 4), left foot mobility (d = 6), vertical jump (d = 1.13) and dynamic balance (d = 1.03) parameters after application in the MR group. It was also determined that the acute effects of the intervention on foot mobility lasted for at least two hours (p < 0.001). There was no change in any parameter after application in the PMR group (p > 0.05). The results of this study show that a single session of myofascial release applied to the plantar sole temporarily increased foot mobility and improved vertical jump and dynamic balance performance in basketball players with chronic hypomobility.

Comparison of static and dynamic balance performances of sports science students by gender

Background and Study Aim. Static and dynamic balance performance are fundamental skills that can exhibit significant differences between genders and are critically important in motor skills and sports science. The aim of this study was to compare the static and dynamic balance performance of sports science students by gender. Material and Methods. Ten male students (age: 22.70 ± 1.33 years) and ten female students (age: 23.00 ± 1.05 years) studying in the sports science faculty voluntarily participated in the study. The Biodex Balance System (BBS, Biodex Medical Systems Inc., Shirley, NY) was utilized to assess balance performance. Independent samples t-test and paired t-test were conducted for analysis using SPSS. Results. In intergroup comparisons, static and dynamic balance performances were similar between genders, with a significant difference found only in the S-APSI parameter (p = 0.021). Among male participants, a significant difference was observed in the S-MLSI parameter (p = 0.015), while no significant differences were found in the other parameters. For female participants, dynamic balance performance significantly outperformed static performance (OSI p = 0.018, APSI p = 0.035, MLSI p = 0.046). Apart from anterior-posterior balance outcomes, no significant differences were observed between males and females in the other parameters. It was also evident that female participants exhibited significantly superior dynamic balance performance compared to static performance. Conclusions. Understanding gender differences in balance performance is crucial for creating effective training programs in sports education. By recognizing these differences, trainers can develop strategies that better meet the specific needs of male and female athletes. This approach can help enhance overall athletic performance.

Prevention of Overhead Shoulder Injuries in Throwing Athletes: A Systematic Review.

(1) Background: Shoulder pathologies are mostly found in overhead sports. Many risk factors have been identified, in particular a deficit in the kinetic chain. The aim of this review was to find out whether prevention by strengthening the kinetic chain can have an impact on the rate of shoulder injury in overhead pitching athletes. (2) Methods: A systematic review of the literature was carried out, including studies on the role of the kinetic chain in the prevention of overhead athletes. The studies used were works published over the last 10 years searched on PubMed, Cochrane Library, PEDro and Science Direct. They were also analyzed by methodological quality scales: the PEDro scale and the Newcastle-Ottawa scale. (3) Results: Eight studies met the inclusion criteria. The studies analyzed revealed a significant correlation between the use of the kinetic chain and the prevention of shoulder injuries, associating factors such as muscle strength, physical performance in tests (CMJ, FMS), static and dynamic balance and the ability to transfer energy from the lower to the upper body. (4) Conclusions: It is important to integrate core stability work and lower limb strengthening to minimize excessive stress on the shoulder complex, while optimizing force production and performance.

The Effect Combined Of Intradialytic Exercise: Static Stretching And Dynamic Streching Lower Limb, Increase Physical Funtion In Chronic Kidney Diseases On Haemodialysis Patients Quasi Experiment

Background: Individuals with end-stage kidney disease (ESKD) usually engage in minimal physical activity, as renal failure progresses in chronic kidney disease (CKD), muscle mass and physical function decrease. Physical activity (PA) is important in maintaining/improving health in all population. Aim of this study to evaluate effect exercise of combine static stretching and dynamic stretching increasing Physical Function in CKD on HD patients. Methods: design of this study was quasi experiment in one group 39 respondents CKD on HD patients meet inclusion criteria. Implementation 12 weeks intradialytic exercise combine static and dynamic stretching lower limbs include leg, ankles, knee, femoral and hip. During exercise evaluate using Borg Skill to know level of fatigue. Comparing with before-after test Time Up and Go 3 meters return measurement. Result: The results of this study demonstrate that the mean values of functional balance, which are much lower in this population than in their healthy counterparts, can be improved by a video-based intradialytic exercise program that includes stretching and endurance activities. In particular, notable advancements were noted in the average TUG test 3 meter return result, which is a reliable indicator of hospitalization, cardiovascular events, and mortality in dialysis patients. Conclusion all participants reported after 12 weeks static and dynamic stretching felt more flexible range of motion knee and leg, walking stronger than before and felt more conformable in walking reported, significant different before and after given static and dynamic stretching, both Static and dynamic stretching effective for improving functional balance and physical performance, Recommended static and dynamic stretching to be rutine activity in Hemodialysis unit.

Development of a Short-Form Hwa-Byung Symptom Scale Using Machine Learning Approaches.

Background/Objectives: Hwa-byung (HB), also known as "anger syndrome" or "fire illness", is a culture-bound syndrome primarily observed among Koreans. This study aims to develop a short-form version of the HB symptom scale using machine learning approaches. Methods: Utilizing exploratory factor analysis (EFA) and various machine learning techniques (i.e., XGBoost, Logistic Regression, Random Forest, Support Vector Machine, Decision Tree, and Multi-Layer Perceptron), we sought to create an efficient HB assessment tool. A survey was conducted on 500 Korean adults using the original 15-item HB symptom scale. Results: The EFA revealed two distinct factors: psychological symptoms and somatic manifestations of HB. Statistical testing showed no significant differences between using different numbers of items per factor (ANOVA: F = 0.8593, p = 0.5051), supporting a minimalist approach with one item per factor. The resulting two-item short-form scale (Q3 and Q10) demonstrated high predictive power for the presence of HB. Multiple machine learning models achieved a consistent accuracy (90.00% for most models) with high discriminative ability (AUC = 0.9436-0.9579), with the Multi-Layer Perceptron showing the highest performance (AUC = 0.9579). The models showed balanced performance in identifying both HB and non-HB cases, with precision and recall values consistently around 0.90. Conclusions: The findings of this study highlighted the effectiveness of integrating EFA and artificial intelligence via machine learning in developing practical assessment tools. This study contributes to advancing methodological approaches for scale development and offers a model for creating efficient assessments of Korean medicine.

The Influence of Dopaminergic Medication on Regularity and Determinism of Gait and Balance in Parkinson's Disease: A Pilot Analysis.

Background/Objectives: Understanding how dual-tasking and Parkinson's disease medication affect gait and balance regularity can provide valuable insights to patients, caregivers, and clinicians regarding frailty and fall risk. However, dual-task gait and balance studies in PD most often only employ linear measures to describe movement regularity. Some have used nonlinear techniques to analyze PD performances, but only in the on-medication state. Thus, it is unclear how the nonlinear aspects of gait or standing balance are affected by PD medication. This study aimed to assess how dopaminergic medication influenced the regularity and determinism of joint angle and anterior-posterior (AP) and medial-lateral (ML) center of pressure (COP) path time-series data while single- and dual-tasking in PD. Methods: Sixteen subjects with PD completed single- and dual-task gait and standing balance trials for 3 min off and on dopaminergic medication. Sample entropy and percent determinism were calculated for bilateral hip, knee, and shoulder joints, and the AP and ML COP path. Results: There were no relevant medication X task interactions for either the joint angles series or the balance series. Instead, the results supported independent effects of medication, dual-tasking, or standing with eyes closed. Balance task difficulty (i.e., eyes open vs. eyes closed) was detected by the nonlinear analyses, but the nonlinear measures yielded opposing results such that standing with eyes closed simultaneously yielded less regular and more deterministic signals. Conclusions: When juxtaposed with previous findings, these results suggest that medication-induced functional improvements in people with PD might be accompanied by a shift from lesser to greater signal consistency, and the effects of dual-tasking and standing with eyes closed were mixed. Future studies would benefit from including both linear and nonlinear measures to better describe gait and balance performance and signal complexity in people with PD.

Modelling the Relationship Between Merchandise Trade Flows and Some Macroeconomic Variables in Ghana

Macroeconomic variables serve as economic indicators that offer valuable insights into the overall health and stability of an economy. Changes in these variables can have significant impacts on a country's trade balance and overall economic performance. This study employed multivariate time series analysis to study the relationship between Merchandise Trade Flows (MTF), Monetary Policy Rate (MPR), Commercial Lending Rate (CLR), Nominal Growth Rate (NGR) and Consumer Price Index (CPI) with Money Supply (MoS) as exogenous variable. The nature of trend in each series was investigated. The results revealed that quadratic trend model best models MTF, MPR, CLR and NGR whiles an exponential trend best models CPI. Johansen’s co-integration test with unrestricted trend performed revealed the existence of long-run equilibrium relationships between the variables and three (3) co-integrating equations described this long-run relationship. In terms of short-run relationships, the VEC (2) model revealed that, CLR, NGR, MoS have positive and significant impact on MTF. CLR, NGR and MoS have positive and significant impact on MPR, NGR have positive and significant impact on CLR, CPI and MoS have significant impact on NGR whiles NGR and MoS have significant impact on CPI. Model diagnostics performed on the VEC (2) model showed that, all the model parameters are structurally stable over time and the residuals of the individual models are free from serial correlation and conditional heteroscedasticity. Forecast error variance decomposition (FEVD) analysis showed that each variable primarily explained its own variance and the influence of other variables increase over time. Hence, adopting a broad perspective on macroeconomic variables can help policymakers anticipate and mitigate ripple effects across various economic sectors.

Full active counter-roller spinning for thin-walled cylinders: Macroscopic deformation mechanism, mesoscopic texture evolution, and forming performance strengthening

The reliability and lightweight of hydrogen high-pressure storage present pressing global challenges. The forming mechanism of a novel full active counter-roller spinning (FACRS) process for thin-walled cylinders is studied from the perspective of macro‑meso coupling. This innovative process holds promise as a replacement for conventional mandrel spinning, enabling enhanced integration of form and property in manufacturing hydrogen bottle liners. Employing optimal Latin hypercube sampling, a response surface model is constructed for forming consistency (λ) of inner and outer surfaces, yielding an optimal set of process parameters under the Hooke-Jeeves algorithm. The resulting spun parts exhibit a more balanced and superior performance. A macro‑meso gradual cross-scale coupling simulation methodology is proposed, revealing that the process is characterized by the initial aggregation and subsequent reinforcement of texture, culminating in the formation of a "soft" rotated cubic texture, which still faces impediments or diminishes the orientation of texture. It is demonstrated that the evolution of texture is the result of the interactive coordination of various slip systems. Furthermore, the FACRS experiments and performance tests indicate that while enhancing the axial and circumferential mechanical properties of the spun parts, it also reduces material anisotropy. The grain refinement effect of the process has also led to a more uniform distribution of dimples on the fracture surface. The surface performance of the final spun parts improves by 60.11 %. These enhancements can be attributed to the combined effects of improved forming consistency, coordinated action of slip systems, and grain refinement. These results deepen the understanding of the macro‑meso deformation mechanisms underlying the novel process, providing valuable insights for further advancements in counter-roller spinning technology.

Evaluation of the Applicability of Waste Rubber in Insulation Panels with Regard to Its Grain Size and Panel Thickness.

This paper explores the effect of waste rubber grain size on the porosity, modulus of elasticity, thermal properties, and soundproofing performance of polymer composites with different thicknesses (10, 15, and 20 mm). All properties were tested in accordance with European standards, with the exception of porosity, which was measured using Archimedes' principle. The findings indicate that with a consistent amount of polyurethane glue, finer rubber grains result in composites with higher porosity, leading to a lower modulus of elasticity but enhanced thermal and sound insulation. In contrast, coarser rubber grains produced composites with lower porosity and a higher modulus of elasticity, though with slightly reduced thermal insulation and significantly worse soundproofing. A combination of fine and coarse rubber grains provided a balanced performance, offering both good thermal and sound insulation while maintaining a high modulus of elasticity. Among the thicknesses tested, 15 mm was identified as optimal, combining a relatively high modulus of elasticity, low thermal conductivity, and better airborne sound insulation index. Future research will focus on applying this composite in concrete building products that meet noise protection and energy efficiency standards.

LiTFSI salt concentration effect for well‐balanced ion transport and physical properties in nanocellulose‐reinforced PEO#600 solid electrolytes

AbstractPoly(ethylene oxide) (PEO) with an oxygen group serves as a reactive site for the pathway of lithium‐ion transport. Reducing the PEO crystal domain in solid electrolytes is an extremely efficient approach for enhancing the mobility of ions. The present study applied various EO/Li molar ratios to modify the physical and electrochemical properties of PEO nanocomposite reinforced by nanocellulose. An elevated lithium salt concentration causes a gradual decline in crystallinity and mechanical strength. The electrochemical performance of the 13 EO/Li molar ratio voltammogram and charge–discharge shows efficient Li‐ion transport with 5.6 × 10−4 S/cm conductivity at room temperature and 131 mA h g−1 initial discharge capacity. The shifting glass transition and melting point at lower temperatures (−40.5 to −44.5°C and 45.3–43.8°C) suggest greater ion mobility throughout the large non‐crystalline structure. Lithium ions are limited by membrane weakening and re‐crystallization caused by high lithium salt (EM_11) concentrations. EM_13 has the highest specific capacity, operating voltage, and lithium transfer number depends on balanced electrochemical performance and physical features. XPS surface chemistry analysis explains LiF, Li2CO3, and Li2O solid electrolyte interfaces (SEI) in EM samples. A lower Li2O (11.62 at.%) than LiF (38.4 at.%) after cycling enhances Li‐ion diffusion and cell reversibility.

Structural design of a balanced cone-spherical fiber-reinforced rubber hose

This article focuses on the optimal structural design of a balanced cone-spherical fibre-reinforced rubber hose (RH). Combined with deformation characteristics of the conical RH, the cone-spherical RH is improved based on the spherical RH. Then the mechanical model of balance performance, stiffness and burst pressure for the cone-spherical RH is constructed. The structural optimization design of double cone-spherical RHs is conducted to further reduce the stiffness of the RH. The model is applied to large-sized RH. Eventually, in the optimization case of this article, the double cone arc-shaped structure has the smallest stiffness. Compared to existing single curved RHs, the stiffness has been reduced by 53%. The correctness of the theoretical model is verified through experiments.

Research of Optical Properties and Biocompatibility in Different Zones of Multilayered Translucent Zirconia on Hydrothermal Aging.

We assessed the changes in optical properties and biocompatibility of transition zones in multilayered translucent monolithic zirconia exposed to prolonged hydrothermal aging and compared the results to those with different yttrium oxide contents. Four types of zirconia blocks from IPS e.max ZirCAD were used: 3Y-TZP e.max ZirCAD LT (ZL), 4Y-TZP e.max ZirCAD MT (ZM), 5Y-TZP e.max ZirCAD MT Multi (ZT), and 3Y/5Y-TZP e.max ZirCAD Prime (ZP). A total of 120 specimens (15.0 mm diameter and 1.5 mm height) were fabricated and divided into three groups (n = 10). The aging process for the specimens was conducted in an autoclave set to 134 °C and 0.2 MPa, with durations of 0 h (control), 5 h (first aged), and 10 h (second aged). The optical properties and biocompatibility were analyzed, followed by a statistical analysis of the data (α = 0.05). Before and after aging, ZL and ZP exhibited the lowest color changes. ZT exhibited the highest average transmittance and translucency parameter values, while ZL had the lowest. The water contact angle test showed the highest value in ZM and lowest in ZL across all the aging stages. ZL, ZM, and ZP showed a considerable decrease in the water contact angle; however, ZT did not. A cell counting kit-8 assay showed ZL had the highest value, while ZM had the lowest. A filamentous actin test exhibited the highest value in ZL and lowest in ZM. In the vinculin analysis, ZL and ZT exhibited the lowest values, whereas ZM and ZP had the highest. 3Y/5Y-TZP exhibited a balanced performance across critical parameters, such as color stability, translucency, and biocompatibility, aligning with 3Y-TZP. While 5Y-TZP demonstrated superior translucency, it confirmed the lowest color stability, whereas 3Y-TZP achieved the highest biocompatibility. These properties provide clinicians with a reliable material option that ensures superior esthetic outcomes and long-term prognosis, ultimately contributing to improved patient satisfaction and clinical longevity.

FMORT: The Meta-Heuristic routing method by integrating index parameters to optimize energy consumption and real execution time using FANET

Decreasing energy consumption in Unmanned Aerial Vehicles (UAVs) while simultaneously enhancing their reliability and processing capabilities is considered a fundamental challenge. The routing mechanisms employed in Flying Ad Hoc Networks (FANETs) are more complex compared to those in Mobile Ad Hoc Networks (MANETs) and Vehicular Ad Hoc Networks (VANETs), a challenge addressed by the FMORT method. To tackle these complex routing challenges, clustering techniques that utilize hybrid Meta-heuristic algorithms can be applied. Data analysis within the FMORT framework identified factors influencing service integration, leading to a reduction in redundant request transmissions and overall redundancy in the proposed method. The identification of food sources in the hybrid Meta-heuristic algorithm of the FMORT method is achieved through the integration of the Sparrow and Dragonfly algorithms. These algorithms work simultaneously to increase energy efficiency and increase network lifetime. This strategy optimizes information exchange by selecting an intelligent threshold detector and categorizing inputs, thereby minimizing node mobility. As a result, it improves performance metrics and decreases delivery costs, energy consumption, and delays. In the proposed method, a balanced performance is achieved by comparing existing methods in terms of transmission delay, Packet Delivery Ratio( PDR), throughput, and energy consumption. Simulation results show that the FMORT approach provides effective and stable outcomes in terms of reliability, decreased delays, and improved packet delivery rates. The FMORT framework includes principles for neighbor selection, determining suitable cluster heads, and scoring based on the average Euclidean distance. Additionally, it manages topology access, ensures proper distribution, guarantees data connectivity, and accurately categorizes inputs. By optimizing the sensitivity rate, this method minimizes the average delays and meekly values input data through effective load balancing. Key parameters considered for real time optimization of overall performance include the number of cluster heads during re-clustering, the ratio of request-to-acknowledgment packet transmission, node, and network lifetime, end-to-end delay, and energy consumption. Ultimately, the simulation results show that compared to the MWCRSF algorithm, the average optimization of index parameters,% 0.73 decrease in energy consumption,% 2.23 network lifetime, 1.35 re-cluster construction time and also% 0.11 re-cluster lifetime has increased.

Investigating the effects of a daily multidisciplinary intensive outpatient rehabilitation program on innovative biomarkers in people with Parkinson's disease: Study protocol for a phase III randomized controlled clinical trial.

To date, there has been no medication that has prevented the progression of Parkinson's disease (PD). Many benefits of intensive and multidisciplinary rehabilitation program for PD are supported by clinical, epidemiological, and experimental data. The main question is whether high-intensity motor and cognitive exercises have an effect on the disease's biological mechanisms. This study protocol is a Randomized Controlled Trial (RCT) designed to determine the efficacy of an experimental, intensive, and multidisciplinary treatment in comparison to a home-based self-treatment in improving biomolecular and functional parameters in PD. A total of 72 participants will be randomly allocated to two different groups, experimental (n = 36) and control group (n = 36). The rehabilitation program will last 6 consecutive weeks and will involve the execution of a total of 30 sessions, one for each day of the week from Monday to Friday. Participants allocated to the control group will carry out a home-based self-treatment program that includes muscle-stretching and active mobilization exercises for 40'/day for 6 consecutive weeks. The primary outcome measure is the effects of both treatments on a new set of molecular biomarkers such as oligomeric alpha-synuclein and neurotrophic factors measured in peripheral neural derived extracellular vesicles (NDEVs). Secondary outcomes will include changes of motor and non-motor symptoms, balance and gait performance and cognitive functioning. This RCT has been registered as "Intensive Multidisciplinary Rehabilitation and Biomarkers in Parkinson's Disease" on 30 May, 2022 to ClinicalTrials.gov with the Study ID number: NCT05452655. This rehabilitation program is believed to be crucial in modifying biomolecular and functional parameters in people with PD. We expect that this study will provide additional evidence to understand the impact of an aerobic and intensive rehabilitation program on brain plasticity in patients with PD.

The Effect of Competition Sounds on Balance Performance in Football Players

Abstract Objective This study aimed to investigate the impact of competition environment sounds on the static and dynamic balance of football players. Materials and Methods Thirty-two football players with a mean age of 21.12±2.99 years and a body mass index of 21.98±2.58 kg/m² were included in this study. The initial assessment condition (whether in a quiet environment or with competition sounds) was determined by simple randomization. Forty-eight hours later, at the same time of day, the tests were repeated with the environmental conditions reversed. Balance performance was assessed using the Tecnobody device for both static and dynamic balance. Results In the static balance test, it was found that the surface area covered significantly decreased in the environment where competition sounds were played (p=0.014), while there was no significant change in overall sway (p=0.313), anteroposterior sway (p=0.852), or mediolateral sway (p=0.104). In the dynamic balance test, no significant change was observed in anteroposterior sway (p=0.411), but mediolateral sway (p=0.025) and overall sway (p=0.042) significantly decreased. Additionally, there was a significant improvement in the athletes’ score for reaching the target (p=0.003). The perceived difficulty levels during the tests were found to be significantly lower in both the static (p=0.048) and dynamic (p=0.001) balance tests in the environment where competition sounds were played. Conclusion In conclusion, competition environment sounds were found to positively affect the balance performance of football players and reduce the perceived difficulty level. Incorporating balance training with competition sounds during athlete rehabilitation may contribute to improved balance recovery.

Experience Using Multi-Technology for Fall Risk Assessments Among Low-Income Community-Dwelling Older Adults With Mild Cognitive Impairment.

To explore the experiences of low-income community-dwelling older adults with mild cognitive impairment (MCI) in using multi-technology. We conducted individual interviews with 14 low-income community-dwelling older adults with MCI aged ≥60 years who participated in a technology-based fall risk assessment study. Interviews were recorded, transcribed, and coded. Two researchers worked together using thematic analysis. Five themes were generated: Satisfaction With Technology, Benefits of Using Technology, Challenges of Using Technology, Facilitators of Using Technology, and Recommendations for Other Older Adults. All participants acknowledged obtaining information about fall risk, physical activities, and balance performance. Older adults with MCI were able to follow instructions by completing fall risk assessments. They found technology enjoyable and beneficial considering the tracking capacity and feedback obtained from the technology used. These were vital objective data that encouraged fall prevention efforts. [Journal of Gerontological Nursing, xx(x), xx-xx.].

Dynamic clustering based risk aware congestion control technique for vehicular network

In order to improve road safety and offer extra services to cars and their users, vehicular ad hoc networks, or VANETs, are essential parts of intelligent transportation systems (ITS). The primary aim of this research is to suggest and assess a new approach for mitigating network congestion in VANET technology through the implementation of dynamic grouping of vehicles for safety (DGVS). To do this, virtual regions are created around cars using the DBSCAN and K Mean method. This allows vehicles to communicate directly with others within the same DGVS, eliminating the need to broadcast messages across the entire network.The ultimate goal is to drastically decrease traffic while preserving vital data transfer for VANET traffic control and safety. The suggested technique determines the optimal transmission rate in accordance with the existing channel circumstances, yielding a balanced performance concerning both packet delivery and channel congestion. With this novel method, cars may only talk to other vehicles that are in the same DGVS, thus there’s no need to broadcast messages to the whole network. With the use of this technique, the efficacy of DGVS in reducing VANET congestion and enhancing network performance will be thoroughly assessed. The study’s conclusions demonstrate how well the suggested dynamic grouping of vehicles for safety (DGVS) technique works to reduce VANET congestion. It was shown through simulation-based studies that, in comparison to current approaches, DGVS dramatically decrease network congestion, resulting in notable gains in network performance and decreased communication delay. Additionally, the study found a number of possible uses for DGVS in the transportation industry, such as emergency response, traffic management, and accident prevention.

Implementation of concurrency control mechanisms to enhance the performance of multi-threaded applications

Concurrency control is a crucial aspect of multi-threaded application development, directly impacting performance and resource utilization.This research project investigates the impact of various concurrency control mechanisms on the performance of multi-threaded applications, specifically focusing on mutexes, semaphores, and lock-free data structures implemented using queues. Conducted in a Python environment within Google Colab, the study aims to assess performance metrics such as execution time, cpu usage, and memory usage. Each mechanism’s performance was evaluated through repeated trials, and the results were aggregated and averaged to ensure reliability. By systematically evaluating these concurrency control mechanisms, the project seeks to understand how each approach affects the efficiency of applications in a multi-threaded context. The findings reveal that the queue mechanism provides the fastest execution time, the semaphore mechanism, on the other hand, exhibited the lowest CPU usage, and the mutex mechanism offered a balanced performance in both speed and CPU efficiency. Memory usage was similar in mutex and semaphore, but queue differed significantly from the other two. These results show that the choice of concurrency control mechanism should be guided by the specific requirements of the application, considering factors such as workload nature and system architecture.

EDRP-GTDQN: An adaptive routing protocol for energy and delay optimization in wireless sensor networks using game theory and deep reinforcement learning

Routing protocols, as a crucial component of the internet of things (IoT), play a significant role in data collection and environmental monitoring tasks. However, existing clustering routing protocols suffer from issues such as uneven network energy consumption, high communication delays, and inadequate adaptation to topology changes. To address these issues, this study proposes an adaptive routing algorithm to balance energy consumption and delay using game theory and deep Q-network (DQN) algorithms (EDRP-GTDQN). Specifically, EDRP-GTDQN evaluates the importance of node positions using node centrality and integrates a game-theoretic-based approach to select optimal cluster heads in terms of node centrality and residual energy. Moreover, graph convolutional networks (GCN) and DQN are incorporated to construct transmission paths for cluster heads, adapt to network topology changes, and balance energy consumption and performance. Furthermore, a cluster rotation mechanism is employed to optimize overall network energy consumption and prevent the formation of hotspots. Experimental results demonstrate that EDRP-GTDQN achieves average performance improvements of 19.76%, 30.04%, 44.2%, and 61.42% in average energy consumption, network lifetime, and average end-to-end delay compared to conventional routing protocols such as EECRAIFA, MRP-GTCO, DEEC, and MH-LEACH. Therefore, EDRP-GTDQN is undoubtedly an effective solution to reduce energy consumption and enhance service quality in wireless sensor networks.

Deep learning based approach for actinidia flower detection and gender assessment

Pollination is critical for crop development, especially those essential for subsistence. This study addresses the pollination challenges faced by Actinidia, a dioecious plant characterized by female and male flowers on separate plants. Despite the high protein content of pollen, the absence of nectar in kiwifruit flowers poses difficulties in attracting pollinators. Consequently, there is a growing interest in using artificial intelligence and robotic solutions to enable pollination even in unfavourable conditions. These robotic solutions must be able to accurately detect flowers and discern their genders for precise pollination operations. Specifically, upon identifying female Actinidia flowers, the robotic system should approach the stigma to release pollen, while male Actinidia flowers should target the anthers to collect pollen. We identified two primary research gaps: (1) the lack of gender-based flower detection methods and (2) the underutilisation of contemporary deep learning models in this domain. To address these gaps, we evaluated the performance of four pretrained models (YOLOv8, YOLOv5, RT-DETR and DETR) in detecting and determining the gender of Actinidia flowers. We outlined a comprehensive methodology and developed a dataset of manually annotated flowers categorized into two classes based on gender. Our evaluation utilised k-fold cross-validation to rigorously test model performance across diverse subsets of the dataset, addressing the limitations of conventional data splitting methods. DETR provided the most balanced overall performance, achieving precision, recall, F1 score and mAP of 89%, 97%, 93% and 94%, respectively, highlighting its robustness in managing complex detection tasks under varying conditions. These findings underscore the potential of deep learning models for effective gender-specific detection of Actinidia flowers, paving the way for advanced robotic pollination systems.