Performance Test Results Research Articles

Physical education teacher skills in preparing HOTS lesson plans and their contribution to teaching performance

Background: Higher-order thinking skills (HOTS) are 21st-century thinking skills needed by students to survive the demands of the current era. However, the problem is that teachers often do not optimally include HOTS in the lesson plan and the implementation of learning. Research Objective: This study aimed to investigate the relationship between the teacher's skill in preparing HOTS lesson plans and the teacher's performance in applying them to physical education. Methods: This type of research is correlational using two research variables: the teacher's skills in preparing HOTS lesson plans and teaching performance. The participants were 28 physical education teachers (men = 21, women = 7) who participated in the Teacher Professional Education Programme at Universitas Negeri Padang in 2022. The HOTS lesson plan data and teacher teaching videos were taken from the documented performance test results (PDF files and teaching videos). Data analysis used regression with the help of SPSS version 25. Findings/Results: The results showed that α < 0.05 (0.007) with a regression value of 2.923 means that the teacher's skills in preparing HOTS lesson plans are positively determined by their performance in teaching HOTS to students. The contribution made by the teacher's ability to prepare HOTS lesson plans to teacher teaching performance is 24.70%. Conclusion: Teachers who can prepare a good HOTS lesson plan can provide a guarantee for their HOTS teaching performance. Thus, the more detailed the teacher formulates the goals, objectives, activities, media, and HOTS assessments, the more it helps them determine their teaching performance that encourages their students' HOTS.

Anthropometric, body composition and physical performance of elite young Italian football players and differences between selected and unselected talents

Football is a team sport played worldwide and specific competition demands are needed since young categories. Several physiological and psychological aspects could influence the selection process, and adolescent investigations still be necessary. This retrospective study aims to compare anthropometric and performance features between selected and unselected adolescent footballers. The sample size was 78 players from U10 to U12 categories. Maturation, RAE, anthropometry, and physical performance (repeated sprint ability (RSA), 15-m sprint, countermovement jump (CMJ) and Harre's test) were evaluated (mean ± SD). 33.3 % of players were selected (height = 144.06 ± 6.74 cm, weight = 35.38 ± 4.56 kg) and 66.7 % were unselected (height = 143.06 ± 8.34 cm, weight = 35.94 ± 6.24 kg). Selected U10 were leaner and got the peak of height velocity (APHV) earlier (p < 0.05) than unselected U10 players, while U11 selected were faster than unselected (p < 0.05). Also, the RSA test, APHV and the humeral width well discriminated among the selection (χ2(3) = 12; p < 0.01). Football field technicians involved in scouting need quantitative and qualitative information that could help to predict talented players. Although physical performance test results and body height led to decisions, further anthropometric features and maturation could provide relevant support.

Development of Nutrient Control System in Plant Factory based on Growth Phases of Romaine Lettuce (Lactuca sativa var. longifolia)

Nutrient is one of the conditions controlled in a plant factory. Nutrient control must be based on the plant growth phase, but previous research has shown shortcomings in this area. This study aims to develop a nutrient control system in a plant factory based on the plant growth phase, specifically using Romaine lettuce. The research method used is the experimental method, with research stages including system design (controller modification, programming, and TDS sensor calibration testing) and system performance testing. The TDS sensor calibration test results showed an R² of 0.9999, indicating that the TDS sensor readings are very close to those of the TDS meter. The system performance test results showed that the developed system works well in controlling nutrient levels based on the growth phase of Romaine lettuce. The planting process lasted 30 days, from October 13, 2023, to November 11, 2023, with a total of 2,697 data points recorded by Antares. Nutrient requirements were adjusted per the growth phase of Romaine lettuce, with set points in the first to fourth weeks being 500 PPM, 600 PPM, 700 PPM, and 800 PPM, respectively. The average nutrient levels recorded in the first week were 518 PPM, 623 PPM in the second week, 721 PPM in the third week, and 820 PPM in the fourth week. The TDS sensor accuracy test results showed an R² of 0.9998, indicating that the TDS sensor performed well in controlling nutrient levels during the system testing, with an average TDS sensor reading error of only 1.17%. During the planting process, the total amount of nutrients added for each of nutrients A and B was 210.10 ml, with the total operating time of the control components being 314.34 seconds for each peristaltic pump of nutrients A and B.

Flower-like SnO2 nanorod aggregates modified with Co3O4 nanoparticles grown on reduced graphene oxide(rGO) sheets for xylene sensing

In this paper, the ternary composite of flower-like SnO2 nanorod aggregates modified with Co3O4 nanoparticles grown on rGO sheets were synthesized by a two-step process of water heating and water bath, and characterized by SEM, TEM, XRD, EDS, and XPS. The gas-sensitive performance test results revealed that the 15-rGO/SnO2/Co3O4 sensor exhibited a higher response value (I0/Ia=24.46) to 100 ppm xylene at the optimal working temperature of 175℃. In addition, the sensor could detect 10 ppb xylene, with a low detection limit. The gas-sensitive properties of 15-rGO/SnO2/Co3O4 were significantly improved due to the large specific surface area of rGO flakes and SnO2 slender nanorods, the catalytic action of p-type semiconductor Co3O4 and the existence of p-n-p double heterojunction. Due to the special nanostructure and synergistic effect of SnO2, rGO and Co3O4, the 15-rGO/SnO2/Co3O4 sensor enabled the efficient and selective detection of xylene.

Study on the Effects of Pasture Fiber on Thermal Properties of Slag Bricks.

In the context of ecological sustainability, this study focuses on the effect of variables of pasture fibers on the thermal properties of slag bricks made from a green recyclable material. This experiment uses slag as the binder, sand as the aggregate, and pasture fiber as an additive. The experimental variables include the additive content ratio of the pasture fiber, the size of the pasture fiber, and the type of pasture fiber. Significance analysis of the experimental results of the thermal performance tests is carried out using Minitab 18.1.0 software, and the optimal ratios for the thermal performance of the composite samples are derived from the response optimizer and conformity analysis. The results of the experiment's test analysis using Minitab 18 software indicate that, with an increase in pasture fiber content, the thermal performance of the composite samples initially decreases before increasing. Additionally, the lower the thermal conductivity of the composite sample, the lower the apparent density and the higher the porosity. Incorporating pasture fibers into slag bricks, as revealed in this study, reduces the waste of pasture resources in pastoral areas and promotes the development of sustainable building materials with favorable thermal properties.

Research on the Design of a MIMO Management System for Lithium-Ion Batteries Based on Radiation–Conductivity–Convection Coupled Thermal Analysis

In this study, the heat transfer model of a radiation–conduction–convection coupled lithium-ion battery pack is established through theoretical analysis. The temperature distribution and flow field distribution inside the battery pack are obtained by simulation using ANSYS Fluent software 2022 R1, and the reasonableness of the simulation model is verified with an experiment. This study also analyzes in detail the improvement effect of adding heat dissipation ribs, applying heat dissipation coatings, and adjusting the fan speed on the heat dissipation performance of the system. Under the same heat sink rib height conditions, the relationship between its thickness and total heat dissipation and thermal efficiency is studied in depth, and the temperature distribution of the cell under different rib thicknesses is obtained. At the same time, the emissivity of the heat sink coating under different coating thicknesses was measured by infrared thermography, and the relevant design values were determined through simulation experiments. Finally, based on the experimental test results of fan performance, a corresponding control strategy is proposed to construct an efficient and high-performance multiple-input multiple-output (MIMO) battery thermal management system. The experimental results show that optimizing the structure of the forced air cooling system through the above measures can ensure that the Li-ion battery operates within the efficient operating temperature range, thus extending its cycle life, improving its stability, and reducing the risk of thermal runaway. Meanwhile, the problem of excessive temperature difference between different modules is improved, and the output capacity of the energy storage system is increased.

Synthesis, In vivo, and In silico Evaluation of New Pyrazoline-Benzothiazole Conjugates as Antiepileptic Agents.

New 2-(4-benzothiazol-2-yl-phenoxy)-1-(3,5-diphenyl-4,5-dihydro-pyrazol-1-yl)-ethanones (9a-o) have been designed and synthesized. All the synthesized compounds were characterized by thin layer chromatography and spectral analysis. The antiepileptic potential of the synthesized compounds has been tested by following standard animal screening models, including maximal electroshock (MES) and subcutaneous pentylenetetrazole (scPTZ) models. The neurotoxic and antidepression effects of the synthesized compounds were checked by utilizing rotarod apparatus, and motor impairment test (by actophotometer) respectively. The study concluded that compounds 9c, 9d, 9f, 9i, 9n, and 9o possessed good antiepileptic potential compared to standard drugs like carbamazepine and phenytoin. The results of the rotarod performance test also established them without any neurotoxicity. The motor impairment test revealed that the synthesized compounds are also good antidepressants. In-silico studies have been performed for calculation of pharmacophore pattern, prediction of pharmacokinetic properties which determine the eligibility of synthesized compounds as orally administered molecules and interactions with the target proteins. The result of in-silico studies reinforced results obtained by in vivo study of the synthesized compounds and their possible mechanism of antiepileptic action i. e. via inhibiting voltage-gated sodium channels (VGSCs) and gamma-aminobutyric acid-A receptor.

Analysis of Tribological Properties of Hardfaced High-Chromium Layers Subjected to Wear in Abrasive Soil Mass.

This article presents the results of abrasion wear resistance tests of wear-resistant steel and surfacing under laboratory conditions and natural operation. Abrasion wear resistance determined on the basis of the study by determining geometrical characteristics of the alloying additives using computer image analysis methods, as well as examining the changes occurring on the surface of the workpieces and their wear intensity. Based on the results obtained from laboratory tests, it was noted that AR steel exhibited 14 times greater wear than the padding weld. This wear is affected by alloy additives, which, for the padding weld, are chromium additives. The microstructure image shows that soil mass had a destructive effect mainly on the matrix of the material, whereas in the areas with high concentrations of chromium precipitates, this effect was significantly weaker. The operational test results showed that within the area of the tine subjected to hardfacing, the material loss was lower than that for the same area of the tine in the as-delivered state. For the hardfaced tine, a 7% loss of volume was noted in relation to the operating part before testing and following the friction process. However, for the operating part in the as-delivered state, this difference amounted to 12%.

Preparation of p-isopropylphenol polyoxyethylene ether and evaluation of its performance in concrete

P-isopropenylphenol polyoxylates (IPP-PE) were obtained by alkoxylation reaction using p-isopropylphenol phenol (IPP) and ethylene oxide (EO) as raw materials, and P-PCE polycarboxylic acid superplasticizer was obtained by free radical polymerization of ipp-PE and acrylic acid (AA) under the action of initiator and chain transfer agent. The effects of reaction temperature, acid-ether ratio, amount of chain transfer agent and initiator, and reaction time on the dispersion properties of superplasticizer were studied, and the molecular structure and microscopic morphology of the superplasticizer were characterized by FTIR,1HNMR, and SEM, and the influence of superplasticizer on concrete properties was evaluated by concrete performance tests. The test results determined that the optimal synthesis process of polycarboxylic acid superplasticizer was as follows: reaction temperature 40 °C, n(AA):n(IPP-PE)=6:1, chain transfer agent and initiator were 0.4% and 0.6% of the mass of large monomer, respectively, and the reaction time was 4.5h. The experimental results of the concrete performance test showed that the workability of concrete mixed with the self-made superplasticizer was excellent, and the initial and 1h longitudinal flowability of the superplasticizer reached 228 mm and 215 mm, respectively. The water reduction rate reached 36%, the 28d compressive strength reached 56.8 MPa, the initial slump reached 226 mm, and it had a certain retarding and air entrainment effect.

Design and Synthesis of a Robust and Multifunctional Superhydrophobic Coating with a Three-Dimensional Network Structure on a Paper-Based Material.

A fundamental challenge in artificial superhydrophobic papers is their poor resistance to mechanical abrasion, which limits their practical application in different fields. Herein, a robust and multifunctional superhydrophobic paper is successfully fabricated via a facile spraying method by combining silver nanowires and fluorinated titania nanoparticles through a common paper sizing agent (alkyl ketene dimer) onto paper. It is shown that the surface of the paper-based material presents a three-dimensional network structure due to the cross-linking of silver nanowires with a high aspect ratio. Further hydrophilic and hydrophobic performance test results show that it exhibits exceptional water repellency, with a desirable static contact angle of 165° and roll-off angle of 6.2°. The superhydrophobic paper showcases excellent mechanical durability and maintains its superhydrophobicity even after enduring 130 linear sandpaper abrasion cycles or high-velocity water jetting impact benefited from interfacial van der Waals and hydrogen bonding. Simultaneously, the robust superhydrophobic surface can effectively prevent the penetration of acid or alkali solutions, as well as UV light, resulting in excellent chemical stability. Additionally, the superhydrophobic paper offers supplementary features such as self-cleaning, electrical conductivity, and antibacterial capability. Further development of this strategy paves a way toward next-generation superhydrophobic paper composed of nanostructures and characterized by multiple (or additional) functionalities.

Automatic construction and optimization method of enterprise data asset knowledge graph based on graph attention network

Traditional knowledge graph construction methods often rely on a large amount of human intervention and specialized knowledge, which seems inefficient and error-prone when dealing with massive, multi-source, and heterogeneous data assets of enterprises. To address this issue, a Multi Neighborhood Awareness Network (MNAN) model was proposed, which combines a multi language pre training model based on Bidirectional Encoder Representations from Transformers (BERT) and a Graph Convolutional Neural Network (GCN). By introducing an improved attention mechanism to deeply explore the neighborhood characteristics of entities, the accuracy and efficiency of entity matching are enhanced. In addition, to improve the integrity of the knowledge graph, a dynamic graph attention network (RDGAT) model based on graph attention network fusion relationship features is proposed. Through dynamic attention mechanism and relationship fusion strategy, deep learning of relationship features is carried out to optimize the completion performance of the knowledge graph spectrum. The performance test results show that the Hits@1 metric of the multi-neighborhood perceptual network model is close to 90% as the proportion of aligned entity seeds increases to 50%; the average inverse rank of the dynamic graph attention network on the test dataset improves by 6.3%. The experimental results show that the research-proposed knowledge graph fusion and complementation model exhibits significant effectiveness in automatically identifying and integrating large-scale, multi-source heterogeneous data at the enterprise level, and can significantly improve the automation level and accuracy of knowledge graph construction. The research method has achieved significant results in the data asset knowledge graph of petroleum enterprises and other fields, providing strong support for applications such as intelligent search, recommendation systems, and semantic analysis.

Simple Synthesis of Cellulose Triacetate from HVS Paper Waste and Its Application for Optode

The optode membrane is a membrane that can identify ions in an aqueous solution. One of the most widely used optode membranes is cellulose triacetate based. Cellulose triacetate (CTA) has the characteristics of hydrophobic, transparent, elastic, and affordable. There are sources of cellulose triacetate that can be utilized and waste paper is one of them. Waste paper is extracted to obtain the cellulose, then by acetylization reaction to produce cellulose triacetate. The resultant cellulose triacetate has a degree of substitution (DS) of 2.89 and an acetyl group percentage (% AG) of 43.64. The standard and synthesized CTA optode membrane are tested for performance with various parameters, ie optimum pH, optimum immersion time, working range, limit of detection (LOD), and limit of quantification (LOQ). The standard CTA optode membranes and synthesized worked at pH 3 and 4 with optimum immersion time for 15 min, respectively. The optode produced a linear response in detecting Cr(VI) ion in the concentration range of 0.02-1 mg/L for standard CTA with an R2 of 0.9726 and 1-25 mg/L for synthesized CTA with an R2 of 0.9764, The limit of detection (LOD) and limit of quantitation (LOQ) were 0.0015 mg/L and 0.0051 mg/L for standard CTA, while 0.0224 mg/L and 0.0749 mg/L for synthesis CTA respectively. Since both optode membranes' performance test results are adequate, the synthesis results of CTA optode membranes can be employed as one source of cellulose triacetate.

The results of performance tests of details of machines combine cutting device hardened electrospark processing electrode from the amorphous alloy 84KHSR

The article contains results performance tests of cutting parts of domestic and foreign harvesters harvesters, hardened electrospark processing. Identifi ed mathematical and graphical dependence of wear on the achievements of these surfaces, and also obtained the numerical values оf wear.

METHODOLOGY AND EXAMPLE OF CALCULATING THE RATIONAL RESOURCE OF AXIAL-PISTON HYDRAULIC MACHINES OF MOBILE EQUIPMENT

The article analyzes approaches for creating models for optimizing the durability of mobile machine units. On the basis of the selected model, in which the target function is the total specific costs of purchasing the machine and the costs of maintaining its working condition, a method of calculating the rational resource of axial-plunger hydraulic machines has been developed for the condition when the resource of the hydraulic machine is limited by the resource of only its plunger pairs. The methodology, built on the basis of the chosen model for optimizing the durability of simple technical systems, takes into account the patterns of wear of plunger pairs under certain operating conditions, and also takes into account the proposed dependencies for calculating their total wear limit. The methodology consists of five consecutive operations, namely: determining the total marginal wear; obtaining experimental patterns of wear of plunger pairs over time in the form of regression equations; calculation of the number and periodicity of technical maintenance of the hydraulic machine for the inter-repair cycle; calculation of the rational resource of the hydraulic machine.The results of the comparative calculation of the rational resource of the adjustable axial-plunger pump 321.224 of the hydraulic system of the single-bucket excavator EO-3323 according to the developed method are also given.The total marginal wear of the pump was determined according to the criterion of reducing its efficiency, namely from the condition of a drop due to the wear of its volume coefficient of useful action by 30 %.To obtain the patterns of wear of the pump's plunger pairs, the results of previous operational tests of the pump were used for two variants of its lubrication: lubrication with ordinary hydraulic oil and lubrication with oil whose anti-wear properties are activated by an external electric field. Specific costs for the purchase of the pump, which are included in the durability optimization model in the form of depreciation deductions, were calculated for the inter-repair cycle. The specific costs of maintaining the working condition of the pump were equal to the costs of its maintenance, during which hydraulic oil and filters are replaced, that is, the pattern of wear of plunger pairs is returned to the starting point.

Preliminary Evaluation of The Performance of Micro Combine Harvesters in Rice Farming

Rice is the most widely used staple food, especially in Asia, accounting for about 90% of the world's rice production. In Malaysia, the cultivated area is as much as 730,016 hectares, and the show was about 3.3 million metric tons throughout the country in 2016. Currently, big combine harvesters are used in Malaysia to harvest rice, allowing for quicker harvesting. However, harvesting with a big combine harvester is impossible in areas with soft soil. As a result, employing a micro combine harvester is one of the options for harvesting in areas with soft soil problems. This study aims to evaluate the performance of a micro combine rice harvester. Performance evaluations were conducted at the MARDI Seberang Perai, Penang research plot. The pedestrian-type micro combines harvester with a triangular rubber crawler type was used in this study. The working width of the machine is 1 meter. The rate of harvesting losses is also evaluated as part of the study. The performance test results of the micro combine harvester show that the farm's efficiency is about 70 percent, with a work rate of 0.10 ha/hour. By keeping the harvester's speed at 1.5 km/h, this micro combine harvester's potential work rate is 0.15 hectares per hour. The losses during the harvesting operation were calculated to be 2.2 per cent. The study's results show that using micro combine harvesters can assist in carrying out rice harvesting work in areas where soft soil issues make it challenging to use the standard large combine harvesters. Farmers that grow rice on a small scale also benefit from using this micro combine harvester. The small percentage of losses demonstrated the effectiveness of this micro combine harvester.

A Universal Image Compression Sensing–Encryption Algorithm Based on DNA-Triploid Mutation

With the fast growth of information technology (IT), the safety of image transmission and the storing of images are becoming increasingly important. Traditional image encryption algorithms have certain limitations in transmission and security, so there is an urgent need for a secure and reliable image encryption algorithm. A universal compression sensing (CS) image encryption (IE) algorithm based on DNA-triploid mutation (DTM) is presented in this paper. Firstly, by using the CS algorithm, an image is compressed while obtaining a range of chaotic sequences by iteration of a chaotic map. Then, DNA sequences are generated by encoding the image and, based on the DTM, new mutant DNA sequences are generated according to specific rules. Next, the chaotic sequences are operated at the DNA level to perform confusion and diffusion operations on the image to ensure the security of the data. Finally, DNA decoding is carried out to obtain the compressed encrypted image. The simulation results show that the algorithm can effectively complete encryption and decryption of images. The performance test results show that the algorithm has a sufficiently large key space of 10587. The information entropy of the cipher image is close to 8. In summary, both simulation experiments and performance tests fully show that a high level of security and reliability for the proposed algorithm in protecting image privacy is achieved.

Entertainment robots based on smartphone terminals for mobile network music E-learning mode

This study adopted the method of system requirements analysis to design the functions and structure of the network music E-learning mode system on smartphone terminals. Through research and user requirement analysis, the core functions and requirements of the system were determined, and the system was designed in terms of functionality and structure. The system’s functional design adopts speech recognition technology, enabling entertainment robots to accurately understand user voice commands and questions. Through natural language processing and machine learning algorithms, entertainment robots can analyze user needs and recommend suitable music teaching resources based on their interests and learning goals. Divide the system into two parts: front-end and back-end. The front-end is the user interface, and through a user-friendly graphical interface and interactive design, users can easily operate the system and interact with entertainment robots. The backend is the core processing part of the system, which achieves the application of entertainment robots in the network music E-learning mode on smartphone terminals through the collaboration of the front-end and back-end. The entertainment robot based on smartphone terminals has high effectiveness and feasibility in the application of mobile network music E-learning mode. The performance test results of the system indicate that it can run stably and meet the concurrent needs of a large number of users.

SMART SAFETY HELMET: PENDETEKSI KARBON MONOKSIDA (CO) DI LOKASI PENGGALIAN SUMUR DAN PERTAMBANGAN

The well excavation or drainage process often results in casualties due to the presence of poison gas at the bottom of the well. Workplace accidents caused by toxic gases in mining locations also frequently loss of life. This research aims to create a smart safety helmet, a project helmet for personal protection equipped with an MQ-2 sensor to detect toxic gases, connected to a smartphone application using IoT (Internet of Things) technology. Data collection involves calibration tests and simulation tests. Data analysis employs descriptive statistical analysis in the form of numbers and tables. The creation of the smart safety helmet involves integrating Arduino devices with an MQ-2 sensor, LCD, buzzer, power bank, and IoT technology connected to the mobile phones of operators or project supervisors. This integration enables the helmet to detect and relay information about CO gas and its safety status. Based on the performance test results and calibration tests using Automotive Diagnostic Solutions owned by the Cilacap District Transportation Agency, the smart safety helmet has been proven effective in detecting the presence of carbon monoxide by being worn by mining workers and well diggers, thus detecting CO levels and its safety status. If the CO level reaches 1500 ppm or more, the operator or project manager can immediately prepare rescue measures.

Cobalt doped Prussian blue modified hollow polydopamine for enhanced antibacterial therapy

Give the emergence of drug resistance in bacteria resulting from antibiotic misuse, there is an urgent need for research and application of novel antibacterial approaches. In recent years, nanoparticles (NPs) have garnered significant attention due to their potential to disrupt bacteria cellular structure through loading drugs and special mechanisms, thus rendering them inactive. In this study, the surface of hollow polydopamine (HPDA) NPs was utilized for the growth of Prussian blue (PB), resulting in the formation of HPDA-PB NPs. Incorporation of Co element during the preparation process led to partial doping of PB with Co2+ ions. The performance test results demonstrated that the HPDA-PB NPs exhibited superior photothermal conversion efficiency and peroxidase-like activity compared to PB NPs. HPDA-PB NPs have the ability to catalyze the formation of hydroxyl radicals from H2O2 in a weakly acidic environment. Due to the tiny PB particles on the surface and the presence of Co2+ doping, they have strong broad-spectrum antibacterial properties. Both in vitro and in vivo evaluations confirm their efficacy against various bacterial strains, particularly Staphylococcus aureus, and their potential to promote wound healing, making them a promising candidate for advanced wound care and antimicrobial applications.

Assessment of balance and risk of falls in people over 60 years old

Introduction: Falls of the elderly are a significant problem for public health and healthcare. They are also included in the geriatric giants, and the assessment of balance and risk of falls is an important part of the comprehensive geriatric assessment (CGA). It is estimated that almost one in three people over the age of 65 living independently in a community suffers one fall per year. These estimates increase with age, and in people older than 80 years, every second senior may experience at least one fall. The aim of the study was to assess the balance and risk of falls in people over 60 years of age living independently in society. Materials and methods: The study enrolled 40 seniors over the age of 60 who agreed to participate in the study and met the inclusion criteria. Three functional tests were used to assess balance and the risk of falls among seniors: the Timed Up and Go (TUG), the Four Square Step Test (FSST) and One-leg standing (OLS). Result: The study shows that as age increases, subjects perform worse on the Timed Up and Go rho = 0.38 test; p &lt; 0.05 and in the Four Square Step Test rho = 0.53; p &lt; 0.01. No statistically significant differences were observed between genders or age groups in the One Leg Standing test (OLS), although older people scored worse than younger age groups. There were no statistically significant associations between performance test results and BMI. The average results of the clinical tests show that the seniors in the study had good balance and a low risk of falling.