Experimental Design Method Research Articles

Unlocking DOE potential by selecting the most appropriate design for rAAV optimization

Producing recombinant adeno-associated virus (rAAV) for gene therapy via triple transfection is an intricate process involving many cellular interactions. Each of the different elements encoded in the three required plasmids-pHelper, pRepCap, and pGOI-plays a distinct role, affecting different cellular pathways when producing rAAVs. The required expression balance emphasizes the critical need to fine-tune the concentration of all these different elements. The use of design of experiments (DOE) to find optimal ratios is a powerful method to streamline the process. However, the choice of the DOE method and design construction is crucial to avoid misleading results. In this work, we examined and compared four distinct DOE approaches: rotatable central composite design (RCCD), Box-Behnken design (BBD), face-centered central composite design (FCCD), and mixture design (MD). We compared the abilities of the different models to predict optimal ratios and interactions among the plasmids and the transfection reagent. Our findings revealed that blocking is essential to reduce the variability caused by uncontrolled random effects and that MD coupled with FCCD outperformed all other approaches, improving volumetric productivity 109-fold. These outcomes underscore the importance of selecting a model that can effectively account for the biological context, ultimately yielding superior results in optimizing rAAV production.

The Influence of the Problem Based Learning Model Assisted by Booklet Media on the Understanding Conceptual Ability of Class V Elementary School Students on Water Cycle Material

This research aims to determine the effect of the problem based learning model assisted by booklet media on the understanding conceptual ability of fifth grade elementary school students in the water cycle material at SDN 03 Dungun Laut, Jawai District for the 2023/2024 academic year. The type of research used was quantitative research using a quasi experimental design method with a post-test only control group design. The population of this study was all class V students at SDN 03 Dungun Laut, totaling 40 students. The sample for this research was class V with a total of 40 students consisting of class VA with 18 students as the experimental class and class VB with 22 students as the control class. The collection techniques used in this research were test and non-test techniques. The tests used were post-test questions, while non-tests used student response questionnaires, and observation sheets on the implementation of learning activities. The data analysis techniques in this research were the two independent sample t-test, effect size test, and descriptive percentage analysis. The results of the research showed that: (1) There was a difference in students' conceptual understanding between classes that use the problem based learning model assisted by booklet media and classes that are given a direct learning model on water cycle material in class V SDN 03 Dungun Laut with tcount = 2.462 > ttable = 2.024; (2) The influence of the problem based learning model assisted by booklet media on students' science understanding conceptual ability was 0.4 with medium criteria; (3) The implementation of the problem based learning model assisted by booklet media in science learning for class V elementary school was classified as very good with a percentage of 90%; (4) Students response were positive to the problem based learning model assisted by booklet media in science lessons for class V elementary school was 81% with very good criteria. So it could be concluded that the problem based learning model assisted by booklet media had an influence on students' understanding conceptual ability of Natural Science (IPA) in class V water cycle material at SDN 03 Dungun Laut.

The Effect of Depth on Growth and Survival of Abalone Shells (Haliotis sp.) with A Multi-Level System

Abalone shells (Haliotis sp.), known as seven-eyed shellfish, are a type of gastropod. Abalone shells have high economic value accompanied by high market demand. The selling price of abalone reaches Rp. 250,000 (shells and meat). To optimize abalone cultivation activities with a long growth time, one method is needed for cultivating abalone shells in KJA (Floating Net Cages), namely using a tiered system in one hanger with different depths, namely 1m, 2m, 3m, 4m and 5m. so that it can increase land efficiency in cultivation activities. The aim of this research is to evaluate and analyze the effect of depth on the growth and survival rate of abalone shells (Haliotis sp.) using a multilevel system. The method used in this research was a Completely Randomized Design (CRD) experimental method with five treatments and three replications. The results of the research conducted showed that the results of the anova test on absolute length growth, specific length growth rate, absolute weight growth, specific weight growth rate, and survival of abalone shells (haliotis sp.) showed that they had no real influence (>0.05) on the maintenance of abalone shells. Based on the research results, it can be concluded that using a tiered system at different depths does not have a real effect on the growth of abalone shells because the water quality conditions at a depth of 1-5 meters are optimal so they can support the growth of abalone shells.

Examination of Surface Hardness and Roughness of AISI 1050 Steel Material in Milling Based on Surface Processing Conditions

It is known that material hardness and surface conditions have a significant impact on the operating life of machine elements working with each other. In this study, Surface roughness values obtained depending on processing conditions and hardness changes on the machined surfaces during milling of AISI 1050 steel were examined. In experimental studies, ideal machining conditions were determined by taking into account surface roughness values and hardness changes using the Taguchi L18 experimental design method. In all experiments, it was observed that the lowest surface hardness was achieved under dry conditions when 6500 1/min speed, 4000 mm/min feed rate, and 0.4 mm cutting depth values were applied. When the speed increased from 5500 1/min to 6000 1/min and the feed rate increased from 4500 mm/min to 5000 mm/min, improvements in surface quality were observed in both machining conditions. In conclusion; In experiments where coolant was applied at high cutting speeds, it was determined that surface hardness and surface roughness values were higher than in dry machining conditions.

Dispersive micro Solid-Phase extraction with Bimetallic Ni, Zn-MOF sorbent and gas chromatography method for Organophosphorus pesticide determination in environmental water samples

A dispersive micro solid-phase extraction coupled with the GC-FID method was developed to determine three Organophosphorus pesticides: Fenitrothion, Chlorpyrifos, and Diazinon. Various sorbents, including Fe3O4 NPs, Zn-MOF, Ni-MOF, Bimetallic Ni, Zn-MOF, and Fe3O4 NPs@SiO2@ Bimetallic Ni, Zn-MOF, were synthesized and evaluated for their extraction efficiency of OPPs. Fe3O4 NPs@SiO2@ Bimetallic Ni, Zn-MOF was identified as the optimal sorbent based on its performance. The affective factors in the procedure were optimized using one factor of the time and experimental design methods. The significant factors in this method included sorbent amount, extraction time, and desorption solvent volume with an optimum value of 37 mg, 8.3 min, and 231 µL, respectively. Under optimized conditions, the method exhibited distinct linear ranges for Fenitrothion, Chlorpyrifos, and Diazinon, ranging from 0.24 to 259, 0.17–234, and 0.25–247 ng mL−1, respectively, with high corresponding R2 values (0.9947, 0.9929, and 0.9943). The limits of detection (LOD) were determined based on three times the standard deviation of the blank sample divided by the slope of the calibration curve for each OPP to be 0.07, 0.05, and 0.07 ng mL−1 for Fenitrothion, Chlorpyrifos, and Diazinon, respectively, while the limits of quantification (LOQ) were 0.24, 0.17, and 0.25 ng mL−1. Precision was assessed by calculating intra-day and inter-day relative standard deviation (RSD%) values in one day and three consecutive days with three replicates of each analysis for three concentrations of 10, 25, and 50 ng mL−1, which were found to be below 4.27 %, 4.35 %, and 4.32 % for Fenitrothion, Chlorpyrifos, and Diazinon, respectively, for intra-day analysis, and below 5.43 %, 5.11 %, and 5.29 % for inter-day analysis, respectively. Additionally, the enrichment factor (EF) values for Fenitrothion, Chlorpyrifos, and Diazinon with a concentration of 20 ng mL−1 were determined to be 78.6, 82.4, and 75.7, respectively. Analysis of spiked real samples in two concentrations of 5.0 or 25.0 ng mL−1, such as tap water, river water, dam water, and well water, revealed recovery percentages in the range of 91.2 % to 97.7 %, with relative standard deviations ranging from 3.79 % to 4.98 %, further validating the method’s reliability for practical applications. Overall, the method provides wide linearity, low LODs and LOQs, responsible RSDs, high EFs, and proper recovery percentages for determining OPPs.

Rheological modelling of carbonyl-iron particles (CIP) paraffin oil-based magneto-rheological fluids

New types of magneto-rheological fluids are increasingly being developed lately, but there is a dearth of information on the performance of commonly used rheological models for emerging MRFs such as carbonyl-iron particles (CIP) paraffin-oil-based MRF. This work aims to investigate the performance of some rheological models for application in predicting shear stress and yield strength in an emerging MRF suitable for flow-mode applications. CIP, low viscosity paraffin oil, and lithium grease were used as magnetic particles, carrier fluid, and additives, respectively, to prepare the MRF. Based on different mixing proportions determined with the Taguchi method of experimental design, sixteen samples were prepared following a standard procedure. For each sample, the values of viscosity and shear stress were determined using a viscometer and rheometer, respectively, with an incorporated self-developed magnetic device. By fitting the data and using the multi-objective nonlinear programming solver in Micro-soft Excel to determine optimum parameters for each model, the Bingham Model, Herschel–Buckley Model, Casson Model, Cross models, and Power-law were used to model the experimental data. Predicted shear stress values and yield strength were then analyzed using ANOVA at a 5% confidence level. The relative errors were determined using RMSE, Mean Square Error, and Mean Absolute Error. There was a significant variation in the predicted outcomes of all the models. Overall, all the models gave relatively acceptable results. However, the Herschel-Buckley model gave the best results, while the Casson model gave the worst results, judging by their values of errors. It is shown that the Herschel-Buckley model should be best used for predicting the rheological characteristics of CIP and paraffin oil-based MRF.

The Effect of Using Cake Application on Students’ Vocabulary Mastery of Junior High School

Cake application is an excellent English-learning tool for mastering English. The study aims to determine whether the Cake app affects students' vocabulary mastery. The present study used a quantitative method of experimental design. The data were collected from forty second-grade students at Junior High School (SMP) HKBP Sidorame Medan, Indonesia. The sample was divided into twenty students in the experimental group and twenty students in the control group, in which pre-and post-tests were given separately to each group and a vocabulary test was taken. The results demonstrate that the average pre-test score for the experimental group in this study was 42.8 points, while the average post-test score was 72. The average pre-test score for the control group was 42.65 points, while the average post-test score was 6.8. It was also found that Ha was accepted. However, Ho was rejected due to the fact that T-count > T-table = 4.41 > 1,686, indicating that this program is highly effective and helpful for learning English vocabulary. These findings suggest that traditional or existing methods may be less effective, highlighting the necessity for innovative approaches to vocabulary learning. Educational policymakers can use these findings to support decisions regarding the integration of successful programs into the curriculum, potentially leading to enhanced English language education standards. Furthermore, the results indicate a need for additional research to identify the specific elements of the program that most significantly impact its effectiveness. This further investigation could facilitate the refinement and optimization of the program to achieve even better outcomes.

The Impact of Silica Addition on Floc Volume Density in the Biofloc System for Juvenile Red Tilapia (Oreochromis niloticus)

Biofloc technology is a solution to the problem of waste management in aquaculture. Biofloc systems are beneficial because they not only reduce inorganic nitrogen waste from feed residues and fish excrement but also produce flocs. The aim of this research is to determine the effect of silica addition on floc volume density in the biofloc system for juvenile red tilapia. The research was conducted from January to March 2024 at the Center of Excellence in Science and Technology (PUI-PT) for Functional Nano Powder at Padjadjaran University. This study uses a Completely Randomized Design (CRD) experimental method with four treatments and three replications. The treatments used were (A) control, (B) 15 ppm silica, (C) 20 ppm silica, and (D) 25 ppm silica. The study used cylindrical containers with a capacity of 19 liters filled with 15 liters of water, a stocking density of 10 juvenile red tilapia per cylinder, with the juvenile measuring 3-4 cm and weighing 3-4 g. The parameters observed were floc volume density and water quality. The data on floc volume density and water quality were analyzed descriptively. The results showed that the addition of 25 ppm silica in the biofloc system was the best treatment for floc volume density. This was evidenced by the results in treatment D (25 ppm) achieving a floc volume density of 26.5 ml/L, which falls into the dense category. Therefore, the addition of silica concentration in the biofloc system can increase floc volume density.

Pengaruh Model Learning Cycle 5E Terhadap Kemampuan Menulis Resensi Pada Siswa Kelas XI SMA Negeri 8 Medan Tahun Ajaran 2023/2024

This research aims to, (1) To determine the ability to write reviews in class XI students of SMA Negeri 8 Medan using the Conventional model, (2) To determine the ability to write reviews in class ) To determine the effect of the 5E Learning Cycle model on the ability to write reviews in class XI students at SMA Negeri 8 Medan. The population in this study were all class XI students, totaling 309 people. The sample consisted of 65 people who were divided into two classes, namely the control class with 32 people and the experimental class with 33 people. The instruments used in this research are the title, book identity, outline of the book's contents, book advantages, book weaknesses, closing review, spelling and punctuation, and neatness of writing. This research uses a two group test design experimental method using a quantitative approach. The data analysis techniques used are analysis requirements tests, normality tests, and hypothesis tests. The research results in writing reviews using the conventional model are in the fair category with an average value of 62. Meanwhile, the research results in writing reviews using the Learning Cycle 5E model are in the good category with an average value of 74. Through hypothesis testing, a t count of 18 is obtained. .05 > t table 1.66, this proves that there is a significant influence from the use of the Learning Cycle 5E model on the ability to write reviews in class XI students at SMA Negeri 8 Medan for the 2023/2024 academic year.

Experiment and simulation assessment of supercritical underground coal gasification in deep coal seam

To explain the impact of geological and process factors on underground coal gasification in deep coal seam (>2200 m) and promote the efficient and clean extraction and conversion of coal, this study employs the orthogonal experimental design method to investigate the impact of CO2 coefficient (0–1), moisture content (30–80 wt%), calcite content (0–10 wt%), albite content (0–10 wt%), kaolinite content (0–20 wt%), reaction temperature (550–650 °C), and reaction pressure (23–27 MPa) on the characteristics of coal underground gasification under supercritical H2O/CO2 conditions. Furthermore, range analysis and variance analysis are utilized to determine the degree of influence of each factor and the interaction between factors. Finally, the Gibbs free energy minimization method is used to conduct a thermodynamic equilibrium analysis of coal supercritical H2O/CO2 gasification at high temperatures (750–1000 °C). The results indicate that the three most significant factors affecting the process of coal supercritical H2O/CO2 gasification are the CO2 coefficient, moisture content, and reaction temperature. The maximum carbon gasification efficiency at 650 °C in experimental cases and 1000 °C in simulation cases is 22.2% and 88.1%, respectively. Although the addition of CO2 at lower temperatures reduces the carbon gasification efficiency, at high temperatures (>900 °C), a higher initial CO2 concentration increases the carbon gasification efficiency. The addition of CO2 under conditions of low moisture content increases the mole fraction of H2, but reduces it under conditions of high moisture content (≥70 wt%). Among the three minerals, calcite has the most significant influence on the gasification process.

Optimizing germination conditions of Ghaf seed using ZnO nanoparticle priming through Taguchi method analysis

Ghaf, a resilient tree in arid environments, plays a critical role in ecological restoration, desertification mitigation, and cultural heritage preservation. However, the seeds’ inherent challenges, notably their hard outer coating restricting germination, emphasize the pressing need for innovative strategies. This work aimed to investigate the optimization of Ghaf seed germination process through seed priming with ZnO nanoparticles treatment (duration (t), concentration (c), temperature (T), and agitation (a), employing the Taguchi method for efficient experimental design. Furthermore, the study includes Analysis of Variance (ANOVA), analysis for the regression model to assess the significance of predictor variables and their interactions, thereby strengthening the statistical validity of our optimization approach. Notably, it revealed that concentration is a pivotal influencer in optimization of Ghaf seed germination. The results showed that the concentration of ZnO nanoparticles has no linear relation with any other parameters. To verify the outcomes, validation tests were performed utilizing the predicted optimal parameters. The observed low error ratio, falling within the range of 1 to 6%, confirmed the success of the Taguchi methodology in identifying optimal levels of the factors chosen. Significantly, ZnO-primed seeds showcased a remarkable enhancement in Ghaf seed germination, increasing from 15 to 88%. This study introduces a novel approach utilizing ZnO nanoparticle treatment optimized through the Taguchi method, significantly enhancing seed germination rates of Ghaf seeds and offering a promising avenue for sustainable agricultural practices in arid environments.

Response Surface Methodology Optimization of Wear Rate Parameters in Metallic Alloys

The optimization of wear rate parameters in metallic alloys using Response Surface Methodology (RSM) has been experimentally performed. The wear rate, a critical factor affecting the durability and performance of metallic components, served as the response parameter, while track diameter, sliding speed, and mass difference were considered as independent variables. The Central Composite Design (CCD) experimental method systematically explored the response surface and optimizes the wear rate. A mathematical model was developed, revealing a significant p-value of 0.043 in the ANOVA table, indicating the collective influence of the independent variables on wear rate at a significance level of 0.05. Furthermore, the model demonstrates a substantial explanatory power, with R-squared of 69.45% and adjusted R-squared of 51.95%. The p-value calculated to be 0.60 for the statistical Lack of fit indicated a satisfactory model. These findings highlight the effectiveness of RSM in optimizing the experimental input values and offer valuable insights for enhancing the durability and performance of metallic alloys in various industrial applications. The obtained result addresses the problem of uncertainty inherent in optimal levels of input parameters wear experimentation.

Scarcity effect in collaborative fashion consumption via the C2C online platform: moderating effect of consumer price sensitivity and gender

ABSTRACT This study investigates the effect of scarcity on purchase intention in a collaborative fashion consumption situation using a C2C platform. Furthermore, it examines the moderating effect of consumer price sensitivity and gender. A mixed experimental design method of 2 (scarcity level: high vs. low) × 2 (consumer price sensitivity: high vs. low) × 2 (gender: male vs. female) was applied. This study found that although the scarcity level did not directly affect purchase intention, the effect was moderated by price sensitivity. Consumers with high price sensitivity show greater purchase intention under low scarcity, whereas consumers with low price sensitivity show greater purchase intention under high scarcity. Moreover, the interaction effect of scarcity level and price sensitivity on purchase intention significantly differed for women, but not for men. This study provides insights for C2C platform marketers to devise marketing strategies considering the scarcity of second-hand fashion products and consumer traits.

A novel biosorbent material from waste fish scales (Cyprinus carpio) for biosorption of toxic dyes in aquatic environments

AbstractPolluted water sources are a growing concern in our world today, with more and more of our precious freshwater sources becoming contaminated. Pollution can come from a variety of sources, such as industrial discharge, agricultural runoff, and even urban runoff. Several treatment technologies have been investigated, mainly for dye pollution from textile and industrial wastes. In this study, the biosorption of methylene blue dye from the water environment was examined utilizing a low-cost and biodegradable biomaterial. Waste fish scales modified with NaOH were used as biomaterial. The biosorption effect of methylene blue concentration and pH variables was optimized. SEM for the surface morphology of the biomaterial and FT-IR analyses for the detection of functional groups were performed. The characterization of methylene blue biosorption was conducted to fully understand its nature, including its kinetics, equilibrium, and thermodynamic works. It has been determined that the biosorption process conforms most closely to the pseudo-second-order kinetic model for its kinetic results and to the Langmuir isotherm for its equilibrium results. Based on the Langmuir isotherm data, the maximum capacity for biosorption (qmax) was found to be 344.82 mg g−1. The thermodynamic results showed that the process of biosorption of methylene blue on various surfaces is spontaneous and occurs via physisorption. Additionally, the experimental design method was utilized to determine the optimum conditions of the methylene blue biosorption process under various conditions. The maximum biosorption capacity was determined to be 102.367 mg g−1 at the optimal conditions. The potential of biosorbent derived from the waste fish scales is promising as a novel biosorbent material due to its unique surface morphology and high biosorption capacity.

Optimization of the extraction process for Shenshou Taiyi powder based on Box-Behnken experimental design, standard relation, and FAHP-CRITIC methods

BackgroundAncient classic prescription play a crucial role in the preservation and advancement of traditional Chinese medicine (TCM) theories. They represent a significant milestone in the ongoing development and transmission of TCM knowledge and practices and are considered one of the breakthroughs in the development of TCM inheritance. In the process of developing ancient classic prescriptions, many problems may still arise in ensuring quality consistency between traditional methods and modern production processes, among which the extraction process poses major challenges. This paper introduces a practical approach extracting an ancient classic prescription using a modern extraction process. The technique is demonstrated through the study of the extraction process of Shenshou Taiyi powder (STP).MethodsThis study focuses on optimising the STP extraction process to ensure consistency in the quality of the product obtained through ancient and modern processes using the standard relation and fuzzy analytic hierarchical process (FAHP) and criteria importance through intercriteria correlation (CRITIC) method integrated weights combined with the Box-Behnken response surface test. Using the contents of rosmarinic acid, isoimperatorin, puerarin, as well as the extract yield and fingerprint similarity as evaluation indexes of STP, the Box-Behnken response surface method was employed to examine the varying extraction parameters, including water addition ratio, extraction duration, and number of extractions. The weighted coefficients for each parameter were calculated by combining the benchmark correlation and FAHP-CRITIC method, deriving a comprehensive score.ResultsThe optimal extraction process for STP consisted of a two extractions, each using at a tenfold quantity of water, performed for one hour. Process verification across three separate batches yielded a comprehensive score of 94.7, with a relative standard deviation of 0.76%.ConclusionsThe application of the Box-Behnken response surface method combined with standard relation and FAHP-CRITIC approach proved to be stable and feasible for optimising the extraction process of STP.

Optimization of the Factors Affecting Biogas Production Using the Taguchi Design of Experiment Method

The present study analyzed the effect of temperature, pH, pre-treatment and mixing ratio on the anaerobic digestion process. The parameters during the anaerobic co-digestion of cow manure and food waste were then optimized using the Taguchi experimental design method. ANOVA was carried out to find the significant parameters which influence biogas production. Experimental tests were carried out at laboratory-scale reactors kept at different temperatures (28 °C, 35 °C, and 50 °C). The specific methanogenic performance (SMP) during anaerobic digestion at higher temperatures was characterized with the analysis of acetate, propionate, butyrate, hydrogen, glucose, and formate, and was validated with the literature. The improvement of biogas production with different pre-treatments, i.e., ultrasonic, autoclave, and microwave techniques, was also analyzed. The results showed that the reactor that was maintained at 35 °C showed the highest biogas production, while the reactor that was maintained at a lower temperature (28 °C) produced the lower volume of biogas. As the retention time increases, the amount of biogas production increases. Methanogenic activities of microorganisms were reduced at higher temperature conditions (65 °C). Biogas production increased by 28.1%, 20.23%, and 13.27% when the substrates were treated with ultrasonic, autoclave, and microwave, respectively, compared to the untreated substrate. The optimized condition for the highest biogas production during anaerobic co-digestion of food waste and cow manure is a temperature of 35 °C, a pH of 7 and a mixing ratio (CM:FW = 1.5:0.5). ANOVA showed that temperature is the most important input parameter affecting biogas production, followed by mixing ratio.

Pengaruh Model Tipe Team Assisted Individualization (TAI) Terhadap Hasil Belajar Siswa pada Pembelajaran Pendidikan Pancasila di Kelas IV SD

The research aims to determine the effect of the Team Assisted Individualization learning model on student learning outcomes in Pancasila education learning in class IV SDN 22 Duku. This research uses a quantitative type of research with a quasi-experimental design experimental method in the form of a non-equivalent control group. The sample in this study was all 34 class IV students at SDN 22 Duku, of which 17 class IV A students and 17 class IVB students. The experimental class in this research is class IV A and the control class is class IV B. Based on the data analysis that has been carried out, the t count is 3.18 and the t table is 2.042. so the experimental class in this study was class IV A and the control class was class IV B. This shows that there is a significant influence on the implementation of the Team Assisted Individualization (TAI) type cooperative model on the results of dozens of class IV elementary school students.

Optimization of silty soil solidification agent ratio and mechanism of strength change based on design-expert

ABSTRACT In order to achieve the resource utilization of silty soil, based on the solidification mechanism of existing inorganic solidification agents, coal gangue and fly ash were selected as substrates, and quicklime and sodium silicate were used as activators to study a new type of muddy soil solidification agent. This project adopts mixture experimental design and unconfined compressive strength testing methods, and uses design expert software to analyze each component to obtain independent variable relationship strength prediction formulas. By using scanning electron microscope, Particles (Pores) and Cracks Analysis System, the changes in micro pore structure characteristics of Reinforced soil were obtained. The research results indicate that the relationship between the influence of various variable factors on strength gain is as follows: sodium silicate>calcium oxide>fly ash>coal gangue. As the age increases, the porosity shows a trend of first increasing and then decreasing. It has been revealed that the strength growth of Reinforced soil with curing agents is mainly due to the compaction and filling effects of hydrated calcium silicate, hydrated calcium aluminate, and a small amount of ettringite. This study is expected to provide reference for the solidification of high moisture content muddy soil.

Pengaruh Latihan Memukul Bola Digantung Terhadap Kemampuan Ketepatan Dan Kecepatan Smash Pada Siswa Ekstrakurikuler Bola Voli SMK Miftahul Ulum Sukorejo Pasuruan

This study aims to analyze the effect of hanging punch training on smash ability and determine the results of this training. This research uses a quantitative type of research with a one group pretest-posttest experimental design method. The study's findings demonstrated that improving smash skill was significantly impacted by the hanging ball hitting training programme. Pretest accuracy measures yielded an average result of 13.80%, and pretest speed gave an average result of 15.10%. The posttest average resulted in 17.55% posttest precision and 14.00% posttest speed. The difference in average precision of 3.75% and speed - 1.1% faster - illustrate the significance of the change. After getting instruction in hitting hanging balls, student's ability to smash has increased, according to the analysis that was done. The influence for improving smash skill ranges significantly.

Investigation and Optimization of The Effect of Anhydrous Borax Mineral on The Vickers Hardness and Indentation Modulus Values of Iron Material

In this study, 5% and 10% by weight of anhydrous borax (AHB) was added to the iron (Fe) matrix material by powder metallurgy method and the effects of the additive ratio on the Vickers hardness (HV), Brinell hardness (HB) and Indentation modulus (EIT) values of the composites (Fe/AHB) were investigated. In the productions carried out using Taguchi experimental design method, AHB additive ratio, and sintering temperature parameters were selected as control parameters that were thought to affect the physical and/or mechanical properties of the Fe/AHB composite materials. The productions were carried out according to the Taguchi L4 orthogonal array, which was created depending on the control parameters and levels. Vickers hardness and indentation modulus measurements of pure iron and Fe/AHB composite materials were performed in accordance with BS EN ISO 14577-1 standard and Brinell hardness measurement was performed in accordance with TS EN ISO 6506-1 standard. According to the signal-to-noise ratio (S/N) analysis performed with the experimental data, it was determined that the 10% AHB additive ratio and 950oC sintering temperature optimized all the investigated properties of the Fe/AHB composite material. It was determined that the values for Vickers hardness, Brinell hardness and indentation modulus increased by 142.03%, 69.32% and 144.11%, respectively, in the levels where the properties of the composite material were optimized compared to pure Fe material. As a result of the qualitative examination of all samples after storage in a comfortable environment without daylight, it was also observed that the anhydrous borax additive delayed the corrosion time of pure iron material.