Final Test Results Research Articles

On the Use of Foam Rubber for Sealing Applications

O-rings made from foam rubber are often used in sealing applications. Foam rubber have low (macroscopic) elastic modulus E0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$E_0$$\\end{document} resulting in a low nominal contact pressure when squeezed against a countersurface. In most cases the foam rubber is covered by a thin surface film with the effective elastic modulus E1>E0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$E_1 > E_0$$\\end{document}. We show that the nominal contact pressure may not be high enough for the contact area to percolate and the O-ring seal will leak. For the leakage calculations we use the Persson multiscale contact mechanics theory, and the (modified) Bruggeman effective medium theory for the fluid flow conductivity. The experimental input for the theory are surface roughness power spectrum, which was obtained from stylus topography measurements, and the elastic properties (E0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$E_0$$\\end{document} and E1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$E_1$$\\end{document}) of the rubber O-ring. As an application of this calculation method, we have used the preliminary as well as the final results of the laboratory gas tightness tests of the 136 New Small Wheel Micromegas Quadruplets performed at CERN, from February 2019 to May 2021, in the framework of the ATLAS Experiment upgrade. In the integration quality control, a novel method for gas tightness measurement, that we have called “Flow Rate Loss”, has been used as a baseline method.Graphical

UJI KINERJA OVEN PENGERING SPESIMEN CAT TIPE TERTUTUP DENGAN PENAMBAHAN ISOLATOR ALUMINIUM FOIL

UJI KINERJA OVEN PENGERING SPESIMEN CAT TIPE TERTUTUP DENGAN PENAMBAHAN ISOLATOR ALUMINIUM FOIL

The Effect of Using Powtoon Interactive Learning Media to Improve Learning Outcomes in Class X Informatics Subjects at SMK Kesehatan Samarinda

This study aims to determine the effect of using Powtoon interactive learning media to improve learning outcomes in learning Informatics class X students at SMK Kesehatan Samarinda. This type of research is quantitative, namely experimental research (pre-experimental design) using a one group pretest-posttest design research design, namely an experiment that in its implementation only involves one class as an experimental class without a control class (comparison class). Data analysis used descriptive analysis techniques and inferential analysis techniques. The results of descriptive statistics show that the average student pre-test score is 46.56 and has increased after being treated with an average student post-test score of 80.31. The results of inferential statistical analysis by testing the normality of pre-test and post-test data were normally distributed. The results of hypothesis analysis using the Paired Sample T-Test test, namely significance, obtained a value smaller than 0.05, namely 0.000 <0.05, meaning that there is a difference when the initial test (pre-test) and the final test results (post-test) so that the null hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted. The results of the analysis of student learning on the use of Powtoon interactive learning media in Informatics subjects obtained an N-Gain of 0.72 which is included in the high category. This study shows that there is an effect of using Powtoon interactive learning media to improve student learning outcomes in Informatics class X Nursing 2 at SMK Kesehatan Samarinda.

Re-testing as a method of implementing external quality assessment program for COVID-19 real time PCR testing in Uganda.

Significant milestones have been made in the development of COVID19 diagnostics Technologies. Government of the republic of Uganda and the line Ministry of Health mandated Uganda Virus Research Institute to ensure quality of COVID19 diagnostics. Re-testing was one of the methods initiated by the UVRI to implement External Quality assessment of COVID19 molecular diagnostics. participating laboratories were required by UVRI to submit their already tested and archived nasopharyngeal samples and corresponding meta data. These were then re-tested at UVRI using the WHO Berlin protocol, the UVRI results were compared to those of the primary testing laboratories in order to ascertain performance agreement for the qualitative & quantitative results obtained. Ms Excel window 12 and GraphPad prism ver 15 was used in the analysis. Bar graphs, pie charts and line graphs were used to compare performance agreement between the reference Laboratory and primary testing Laboratories. Eleven (11) Ministry of Health/Uganda Virus Research Institute COVID19 accredited laboratories participated in the re-testing of quality control samples. 5/11 (45%) of the primary testing laboratories had 100% performance agreement with that of the National Reference Laboratory for the final test result. Even where there was concordance in the final test outcome (negative or positive) between UVRI and primary testing laboratories, there were still differences in CT values. The differences in the Cycle Threshold (CT) values were insignificant except for Tenna & Pharma Laboratory and the UVRI(p = 0.0296). The difference in the CT values were not skewed to either the National reference Laboratory(UVRI) or the primary testing laboratory but varied from one laboratory to another. In the remaining 6/11 (55%) laboratories where there were discrepancies in the aggregate test results, only samples initially tested and reported as positive by the primary laboratories were tested and found to be false positives by the UVRI COVID19 National Reference Laboratory. False positives were detected from public, private not for profit and private testing laboratories in almost equal proportion. There is need for standardization of molecular testing platforms in Uganda. There is also urgent need to improve on the Laboratory quality management systems of the molecular testing laboratories in order to minimize such discrepancies.

The Slump Flow of Cementitious Pastes: Simulation vs. Experiments.

Understanding the transient properties of cementitious pastes is crucial for construction materials engineering. Computational modeling, particularly through Computational Fluid Dynamics (CFD), offers a promising avenue to enhance our understanding of these properties. However, there are several numerical uncertainties that affect the accuracy of the simulations using CFD. This study focuses on evaluating the accuracy of CFD simulations in replicating slump flow tests for cementitious pastes by determining the impact of the numerical setup on the simulation accuracy and evaluates the transient, viscosity-dependent flows for different viscous pastes. Rheological input parameters were sourced from rheometric tests and Herschel-Bulkley regression of flow curves. We assessed spatial and temporal convergence and compared two regularization methods for the rheological model. Our findings reveal that temporal and spatial refinements significantly affected the final test results. Adjustments in simulation setups effectively reduced computational errors to less than four percent compared to experimental outcomes. The Papanastasiou regularization was found to be more accurate than the bi-viscosity model. Employing a slice geometry, rather than a full three-dimensional cone mesh, led to accurate results with decreased computational costs. The analysis of transient flow properties revealed the effect of the paste viscosity on the time- and shear-dependent flow progress. The study provides an enhanced understanding of transient flow patterns in cementitious pastes and presents a refined CFD model for simulating slump flow tests. These advancements contribute to improving the accuracy and efficiency of computational analyses in the field of cement and concrete flow, offering a benchmark for prospective analysis of transient flow cases.

Mathematical scheduling model of complex industrial process combining swarm intelligence algorithm and swarm dimension reduction technology

The swarm intelligence algorithm is widely used in scheduling problems due to its superior searchability and adaptability, but it faces high computational costs and low efficiency when dealing with high-dimensional complex data. To enhance the handling of large-scale and intricate data, as well as enhance the accuracy and efficiency of scheduling, this study develops a mathematical model for industrial scheduling. The model is based on swarm intelligence algorithms such as symbiotic evolution algorithms, grey wolf algorithms, cuckoo algorithms, population dimensionality reduction techniques, and resource optimal allocation calculation methods. The final test results showed that the accuracy of the model in calculating the objective function was about 80 % in cases of high complexity and about 90 % in cases of low complexity. Compared with other algorithms, its accuracy was improved by 7 %, error rate was reduced by 50 %, time cost was reduced by about 30 %, and conversion rate was fast and more stable on average after 200 generations. The experimental results indicate that the proposed mathematical scheduling model, which integrates multiple intelligent algorithms and population dimensionality reduction technologies, has certain practices and feasibility in large-scale and multi-dimensional production for enterprises. This study combines swarm intelligence algorithms with population dimensionality reduction techniques, which is an innovative attempt at complex industrial scheduling problems.

Development of a vehicle-mounted soil organic matter detection system based on near-infrared spectroscopy and image information fusion

In the practical application of farmland, the soil organic matter prediction model established by the traditional near-infrared (NIR) spectroscopy is affected by factors such as soil texture, which leads to a serious decline in the accuracy of the model. To improve the robustness and prediction accuracy of the model, a prediction model based on NIR spectroscopy and image fusion is proposed. A 1D-CNN organic matter prediction model (based on NIR spectroscopy) was established using eight characteristic wavelengths of extracted soil organic matter (932 nm, 999 nm, 1083 nm, 1191 nm, 1316 nm, 1356 nm, 1583 nm, and 1626 nm) as spectral information. A 2D -CNN organic matter prediction model was established using soil RGB images as information. Based on the idea of model weight fusion, 1D-CNN and 2D-CNN models are fused. When using small convolutional kernels (three-layer convolutional kernel size: 3*3, 1*1, 1*1) and 1D-CNN:2D-CNN = 6:4, the model has the highest prediction accuracy (R 2 = 0.872). The optimal fusion model was embedded into the inspection system. The final laboratory and field testing results are as follows: under laboratory conditions, the detection accuracy R 2 of the 1D CNN prediction model, 2D-CNN prediction model, and fusion model are 0.838, 0.781, and 0.869, respectively. The root mean square error is 3.005, 3.546, and 2.678, respectively. The above experimental data indicates that the R 2 of the fused model is more accurate compared to the model established with a single information. In the field test, the R 2 detection accuracy of 1D-CNN prediction model, 2D-CNN prediction model and fusion model is 0.809, 0.731 and 0.835, respectively. The root mean square errors are 3.466, 3.828 and 2.973, respectively. The results show that the fusion model improves the prediction accuracy and model robustness, and the detection system can meet the needs of soil nutrient detection in farmland.

Penggunaan Active Learning Tipe Card Sort Terhadap Hasil Belajar Biologi

This research aims to determine the effect of using card sort type active learning on Biology learning outcomes for class X SMA N 1 Palembayan students. This type of research uses a quassy experiment. The population in this study was 60 students. Sampling was carried out using a purposive sampling technique so that class X.1 was obtained as the experimental class and X.2 as the control class. The research instrument is an objective test consisting of 35 questions. The research results show that the data processing of the final test results is calculated using the t-test with the test criteria of accepting Ho if tcount<ttable and accepting H1 if tcount>ttable. From data analysis, it is obtained that tcount= 2.07 and ttable for the 1-α probability is 1.68, because tcount > ttable. In conclusion, there is a significant positive influence from the use of card sort type active learning on Biology learning outcomes for class X SMA N 1 Palembayan students.
 Keywords: Biology Learning Results, Use of Card Sort Type Active Learning

The Empowerment of Economic Community through Training of Networking Store Management in Kretek District, Bantul

Abstract. The retail industry is one of the industries most needed by the community, and this is proven by the proliferation of modern stores with networks in various regions. Retail has also penetrated the online media marketplace, which makes it easier for the public to transact. Seeing this, Muhammadiyah Leaders of Yogyakarta carried out various strategies to get directly involved in the retail business by establishing Muhammadiyah Stores (TokoMU) in every village. The main problem in realizing this program is the lack of Muhammadiyah members who have managerial skills in managing a store, especially chain stores. This community service offers a solution to this problem by conducting networked store management training for Muhammadiyah cadres who are engaged in the retail economy so that they are able to manage TokoMU in the Kretek sub-district. This community service uses a participatory approach from aspects of financial management (people), goods management, marketing, and service excellence. The evaluation showed a significant increase in in-store management skills by cadres who attended the training with an average final test result of 89 out of a maximum score of 100. These results fostered the optimism of the participants to manage TokoMU professionally.

Oral Motor Exercise in Improving the Movements Of The Jaw, Lip, Tongue in Case of Oral Phase Dysphagia on a Cerebral Palsy Patient

The dysphagia case in children with cerebral palsy is a disorder that must be treated immediately because it will have a serious impact on the child's health and speech fluency. The Oral motor exercise method is one of the therapies to improve jaw, neck, and tongue movements in patients with cerebral palsy. The purpose of this study was to investigate the oral motor exercise on a dysphagia patient of 3-years old with cerebral palsy disorder at Syamsudin SH Hospital, Sukabumi, from January to March 2019. This type of research is a descriptive quantitative method with single subject experiment. A research subject was a patient with cerebral palsy, a 3- years old – boy who has dysphagia. The patient cannot speak and only cries and says 'AAAA' if he wanted something and the patient was choking and coughing when eating or drinking. To deal with this problem, 20 sessions of therapy and 1 evaluation were carried out. The results showed that by comparing the results of the initial test and the final test, there was an increase in the ability to move the organs of the lips, tongue, jaw, and chewing movements of the patient. In the initial test, the patient got 2 points and the final test result. the patient got 4 points which indicated 50% success scale. From the therapeutic success scale obtained, it was concluded that the therapy was quite successful.

Plyometric Based Training on Athletes' T Kick Speed Perisai Diri

The training model in improving a pencak silat athlete's abilities is an important factor, because an inappropriate training model will have a bad impact on the technique being trained. For example, the training model given to the fighters is not varied or is interpreted as a monotonous training method, this has a direct impact on the fighters, for example they are lazy about training and do not experience changes. The aim of this research was to determine the effect of plyometric training on the speed of T kicks in silat martial arts at the 1945 Teachers' Association University, East Nusa Tenggara. In this research, researchers used a one-group pre-test and post-test design with a quantitative experimental method approach. The number of samples in this study was 20 martial artists. Data collection techniques in this research used tests and non-tests. Non-tests include observation, interviews and documentation, then the test method uses two plyomteric training methods. The data analysis technique in this research uses the t-test analysis system. The results of this research prove that based on the results of the calculation of the data in this study, it shows that there is a change in the speed of the T kick in the fighters. With the posttest results, if you look at the pre-test average, it is 21.93 and the post-test value is 23.86%. Based on these results, it was stated that there was an influence of plyometric training, the form of training of which was squat split jump and stride jump crossover, the speed of Pencak Silat T kicks. Based on the categorization of the final test results, the speed of Pencak Silat T kicks performed by the silat fighters was in the Good category.

Research on Intelligent Recognition Technology in Lithology Based on Multi-parameter Fusion of Logging While Drilling

In oil and gas drilling, timely and accurate identification of formation lithology is an important guarantee of drilling safety. Aiming at the problems of inaccurate identification of lithology in drilling by traditional methods, and low efficiency due to the fact that even modern instruments cannot respond to lithology in real time. the Categorical Boost (CatBoost) model was applied to lithology identification in this study. However, since CatBoost uses more hyperparameters in its modeling, it is difficult to optimize model prediction by manually tuning the parameters. Therefore, the introduction of Kernel Principal Component Analysis (KPCA) extracts fewer and more important features from the original data, eliminates the redundant information contained therein, and combines with Bayesian Optimization (BO) algorithm to optimize the hyperparameters during the training process, thus improving the prediction performance of CatBoost. Two experiments were designed to verify the recognition ability of the model, and the final test results of the model showed that the KPCA-BO-CatBoost model proposed in this paper had the best overall performance, and the lithology recognition accuracy reached more than 90%. The model was effective in identifying the formation lithology, realized real-time lithology identification by combining the parameters of logging while drilling, improved the efficiency and accuracy of lithology identification, and was of great significance in guiding the subsequent drilling work.

The Effectiveness Of Using The Talking Stick Method In Learning Ips To Improve Student Learning Outcomes

This research aims to find information on student learning outcomes using the talking stick learning method in class VII of SMPN 2 Tarogong Kidul Garut. This type of research uses a quantitative approach with a quasi-experimental method, a quasi-experimental research design using pre-test and post-test nonequivalent control group design. The population of this research was class VII students of SMP Negeri 2 Tarogong Kidul Garut. Samples taken using purposive sampling technique were 1 experimental class, class VII-C and 1 control class, class VII-F. The instruments used in this research were test question sheets and observation sheets. Based on the results of SPSS 27 statistical analysis research, the initial abilities of the two groups were different from the average test scores. Meanwhile, for the final test results, the Sig (2-tailed) value was 0.000 and ɑ was 0.05, meaning 0.000 < 0.05, so it was rejected and accepted. The results of statistical tests regarding the influence of the talking stick learning method on social studies learning outcomes for class VII students at SMP Negeri 2 Tarogong Kidul Garut are in accordance with the results of the gain test. The N-Gain obtained by the experimental class was 0.44. So the medium level category. So it was concluded that it was rejected and accepted so that there was an increase in student learning outcomes using the Talking Stick learning method.

Experimental and computational investigation on mechanical properties of aluminium alloy 6063/waste eggshell powder metal matrix composite

AbstractIn the present investigation, food industries′ waste eggshell is used to fabricate the metal matrix composite i. e., made by stir casting method. Further, two different composition samples have been prepared, with a mixing of 6 weight‐% eggshell and 12 weight‐% eggshell carbonized powder in matrix material aluminium alloy 6063. Sample B (aluminium alloy 6063+6 weight‐% eggshell) and sample C (aluminium alloy 6063+12 weight‐% eggshell) in the aluminium alloy 6063 powder (sample A) are mixed with the help of the mechanical stir casting method. The final test results revealed that hardness increased by 16.73 % and 27.57 % value for sample B and sample C respectively than aluminium alloy 6063 (sample A). In addition, the tensile strength and impact hardness of sample B and sample C also increased by 17 % to 31 % value respectively in comparison to aluminium alloy 6063 (sample A). In the last power law, hardening parameters have been evaluated for sample B for performing the finite element analysis of the tensile test process. The finite element analysis model has shown good agreement with experimental results.

Estimation and analysis of the cumulative energy damage model for precast concrete nonrectangular column frame structures

A detailed characterization of structural damage progress is essential to performance-based seismic design for precast concrete nonrectangular column (PCNC) frame structures. The paper presents an experimental investigation into the damage behavior of the PCNC frame structures under reverse cyclic loading, including specimens PCFS1 and PCFS2 in bay and specimen PCFS3 in depth of a new precast residential building. Based on the experimental results, the damage mechanism of the PCNC frame structures was further discussed with the cumulative energy damage model proposed in this paper, and the influence of key structural parameters on the damage of the PCNC frame structures was examined, including energy dissipation adjusted factor, the residual deformation rate and the stiffness degradation rate. Available results indicated that the experimental damage curves of test specimens increased with the loading progress and acted with nonlinear damage characteristics, and PCNC frame structural damage behavior was sensitive to the axial compression ratio. For the proposed damage model, the calculation results were in good agreement with the experimental results. On the basis, the damage degree of the PCNC frame structures was divided into five performance levels including normal use, temporary use, use after repair, life safety and prevent collapse in the defined damage range of (0, 1). Elastic layer drift ratio limit was suggested to relax for PCNC frame structures. Final test results could provide a basis for the aseismic design and damage assessment of such structures after earthquake.

DSSC using natural dye sensitized and Ag/CdS/TiO2 composite structured light anode

A new type of photoanode for dye-sensitive solar cells based on Ag/CdS/TiO2 natural dyes was designed and fabricated. Firstly, the mixed layer of CdS and TiO2 was prepared by high temperature annealing method, and the mixed layer was modified by Ag nanoparticles and sensitized by natural dyes to obtain the desired composite structure photoanode. The excellent localized surface plasmon resonance (LSPR) effect exhibited by Ag nanoparticles greatly enhances the electron-harvesting ability of the photoanode. The addition of CdS enhances the photosensitivity of the photoanode, diminishes electrons' recombination and enhances electrons' mobility. The final electrochemical test results show that the DSSC using the Ag/CdS/TiO2 composite structure photoanode and sensitized by natural dyes has reached a PCE of 0.68 %, compared with the DSSC with pure TiO2 photoanode the absorption range is wider, and the PCE has grown by 219 %.

EFEKTIVITAS MEDIA GURITA KATA DALAM PEMBELAJARAN MENULIS PUISI BAGI SISWA SEKOLAH DASAR

Poetry writing material is one of the important contents of learning the Indonesian language and literature in elementary school. However, in its implementation, students needed help understanding the learning material for writing poetry. To overcome this problem, teachers can use learning media. One medium that can be used in teaching poetry writing is the visual octopus word learning media. This media is in the form of an imitation octopus with poetry-writing material on each tentacle. This study was carried out to examine the effectiveness of the word octopus in poetry writing material. This study used a quasi-experimental method with a one-group pretest-posttest design at Public Elementary School (SDN) 1 Kekeri. Preliminary and final test questions regarding poetry writing material were used as the main instruments for data collection. Data collection underwent three stages: an initial test, providing treatment by applying octopus word learning media, and a post-test. Data analysis was carried out in two phases: prerequisites and testing media effectiveness. The study results show that the Octopus Kata learning media has high effectiveness. It can be seen from the significant difference in the average initial and final test results. This study concludes that the octopus word learning medium effectively increases elementary school students' understanding of learning to write poetry.

Construction of Student Information Management System for Universities Based on Cloud Computing Platform

Abstract The first step in this paper is to establish an integrated education information management platform that utilizes cloud computing as the scheduling center, considering the characteristics of cloud computing. The hierarchical structure of the student information management system and each business function module is designed using the B/S three-layer architecture. The fitness function evaluates individual merit based on K-means teaching data to ensure the genetic algorithm’s population diversity. The analysis model of university teaching data is constructed using the penalty function of chromosomes. The final test results show that when the network data transmission time reaches the 60s, the average network data traffic consumed is 260Byte, which indicates that the constructed student information management system has wide applicability.

Risk Assessment Modeling of Urban Railway Investment and Financing Based on Improved SVM Model for Advanced Intelligent Systems

A risk assessment method for urban railway investment and financing based on an improved SVM model under big data is proposed. First, the inner product in the traditional SVM is replaced by a kernel function to obtain a more accurate non-linear SVM, and a classifier with high classification accuracy is achieved by finding the optimal separating hyperplane. Then, a risk index system is constructed based on the grounded theory combining with intuitionistic fuzzy sets, interval intuitionistic fuzzy sets, weighted averaging operators and the distance measure, and the selection method of assessment indexes is analyzed based on the statistical methods. Finally, the SVM model with fuzzy membership is obtained by fuzzifying the input samples of the SVM based on the given rules of fuzzy membership design. The results show that the maximum relative error between the final test results and the actual value is 0.316%, and the minimum relative error is 0.133% with three different test sets being tested in the proposed method, which can accurately assess the investment.

Development of Mandarin Education Quiz Game Using Android-Based Multimedia Development Life Cycle

Mandarin is a language that is widely spoken and studied by people all over the world. Parents who start enrolling their children in Mandarin language courses from an early age with the hope that their children will become accustomed and proficient in using Mandarin. However, for elementary school children, the difficulty of constructing sentences in Mandarin is a major obstacle for children in the process of learning Mandarin. The purpose of this research is to create a unity-based mandarin quiz educational game application that is useful as an alternative media in the learning process to make it easier to learn. which is useful for a. Help make it easier for tutors in learning activities teaching by utilizing media technology in the form of Android-based educational games. Help students learn Chinese HSK material with a happy feeling and don't feel bored, because the content in the educational game "Mandarin Quiz" is displayed in an attractive way with audio, animation, and games on an Android smartphone. Helping children's enthusiasm for learning to know Mandarin. System development for users will be developed using the Multimedia Development Life Cycle (MDLC) methodology. Each step or stage of this method is suitable for system development in multimedia applications and these stages can swap positions according to research needs. It is hoped that the results of testing and designing the Mandarin Quiz educational game application using Unity 2D can be further developed so that this application can help increase interest in learning. The test results and feasibility of this educational game used the Usability Scale System (SUS) which consisted of 46 functions with 10 questions, the final test result was obtained with a score of 88, so that the mandarin quiz educational game was declared acceptable.