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Media starter system for improve student learning outcomes

AIP Conference Proceedings 2023年第1期2671卷

作者： Suyitno Pulung Dwi Hartanto Purnawan Arif Kurniawan Muhammad Nurtanto Farid Mutohhari 1Department of Automotive Engineering Education Universitas Muhammadiyah Purworejo Indonesia 2Department of Automotive Engineering Vocational Education Universitas Ahmad Dahlan Indonesia 3Department of Mechanical Engineering Education Universitas Sultan Ageng Tirtayasa Indonesia 4Department of Graduate Program Universitas Negeri Yogyakarta Indonesia

This study aims to find out the procedure for developing starter system learning media as a learning tool for improving student learning outcomes, measure how appropriate the learning media is for improving student learning outcomes, measure student learning outcomes after using starter system learning media. The type of research used is Research and development (R&D) to produce products and test products in improving student learning outcomes. The research subjects were 50 students. Data collection techniques in this study used tests, questionnaires, and documentation. The data obtained are the results of the evaluation, student responses about the media, validation, and reliability. The results of the assessment by media experts get a percentage of 97.50% in the very good category, the material expert assessment gets a percentage score of 92.5% in the very valid category. Student responses went through two stages, namely the limited group trial of the media getting a score percentage of 92.25% in the very good category and the media response taken from the experimental class which was the subject of the application of the media to get an average value (mean) of 83.2, so that the information obtained by 17 students was stated passed and 8 students were declared to have not passed because the score was still less than the KKM, so it could be concluded by looking at the results of the media assessment, the media was in the very good category.

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Semi-definite relaxation based ADMM for cooperative planning and control of connected autonomous vehicles

arXiv

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arXiv 2021年

作者： Zhang, Xiaoxue Cheng, Zilong Ma, Jun Huang, Sunan Lewis, Frank L. Lee, Tong Heng The NUS Graduate School for Integrative Sciences and Engineering National University of Singapore 119077 Singapore The Department of Mechanical Engineering University of California BerkeleyCA94720 United States The Temasek Laboratories National University of Singapore 117411 Singapore The Automation and Robotics Research Institute University of Texas at Arlington ArlingtonTX76118 United States

This paper investigates the cooperative planning and control problem for multiple connected autonomous vehicles (CAVs) in different scenarios. In the existing literature, most of the methods suffer from significant problems in computational efficiency. Besides, as the optimization problem is nonlinear and nonconvex, it typically poses great difficultly in determining the optimal solution. To address this issue, this work proposes a novel and completely parallel computation framework by leveraging the alternating direction method of multipliers (ADMM). The nonlinear and nonconvex optimization problem in the autonomous driving problem can be divided into two manageable subproblems;and the resulting subproblems can be solved by using effective optimization methods in a parallel framework. Here, the differential dynamic programming (DDP) algorithm is capable of addressing the nonlinearity of the system dynamics rather effectively;and the nonconvex coupling constraints with small dimensions can be approximated by invoking the notion of semi-definite relaxation (SDR), which can also be solved in a very short time. Due to the parallel computation and efficient relaxation of nonconvex constraints, our proposed approach effectively realizes real-time implementation and thus also extra assurance of driving safety is provided. In addition, two transportation scenarios for multiple CAVs are used to illustrate the effectiveness and efficiency of the proposed method. Copyright © 2021, The Authors. All rights reserved.

关键词： Model predictive control

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The Petiole of the Miriti Palm: A sustainable material for wind turbine blades?

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Journal of Physics: Conference Series 2024年第8期2767卷 082007-082007页

作者： I. Dos S. Gomes J. R. P. Vaz J. C. H. Wong D. H. Wood Graduate Program in Natural Resources Engineering Institute of Technology Federal University of Para Belém Pará 66075-110 Brazil Graduate Program in Natural Resources Engineering Institute of Technology Federal University of Para Ananindeua Pará 67130-660 Brazil Department of Mechanical and Manufacturing Engineering University of Calgary Calgary Alberta T2N 1N4 Canada

The Miriti Palm (Mauritia flexuosa) grows abundantly in the Amazon Region of Brazil. The petiole (PMP) that supports the leaves, has a density of about one-half of Balsa wood (BW), which is used in the manufacture of wind turbine blades. A further possible advantage of PMP is that harvesting does not kill the palm tree, in contrast to the harvesting of BW. Because the mechanical properties of PMP have not been measured, we determined the shear and tensile properties of 16 samples of PMP and BW to allow a preliminary assessment of PMP as a possible material for blades. The absolute shear and tensile strengths for BW are higher, but specific properties (normalized by the density) are similar and can favour PMP. Direct substitution of BW by PMP would reduce the weight of a typical large blade by around 2%.

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Prediction of cardiac differentiation in human induced pluripotent stem cell-derived cardiomyocyte supernatant using surface-enhanced Raman spectroscopy and machine learning

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Biosensors and Bioelectronics 2025年 283卷 117528页

作者： Echeverría-Altamar, Karla Barreto-Gamarra, Carlos Domenech-García, Maribella Resto-Irizarry, Pedro Bioengineering Graduate Program University of Puerto Rico at Mayagüez Mayagüez 00680 Puerto Rico Chemical Engineering Department University of Puerto Rico at Mayagüez Mayagüez 00680 Puerto Rico Mechanical Engineering Department University of Puerto Rico at Mayagüez Mayagüez 00680 Puerto Rico

The efficient manufacturing of cardiomyocytes from human-induced pluripotent stem cells (hiPSCs) is essential for advancing regenerative therapies for myocardial injuries. However, ensuring cell quality during production is challenging since traditional methods are invasive, destructive, and time-consuming. In this study, we monitored cardiomyocyte differentiation of WTC11 hiPSCs by analyzing conditioned media collected at various stages using Raman spectroscopy, multivariate analysis, and machine learning. Differentiation efficiency was confirmed via flow cytometry and immunostaining. Raman spectra were processed using standard normal variate and second derivative transformations before performing a principal component analysis (PCA) and machine learning (Random Forest, K-Nearest Neighbors, and Deep Neural Networks [DNN]). Results show that PCA was unable to distinguish cells based on differentiation stages, while machine learning could reliably predict cell differentiation early in the cardiac cell manufacturing process. DNN models achieved accuracies exceeding 82 % in predicting differentiation, highlighting their potential as quality control tools. These findings underscore the potential of Raman spectroscopy coupled with machine learning as a tool for real-time monitoring of cardiomyocyte production. © 2025 The Authors

关键词： Deep neural networks

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Association between the type of dental prosthesis and the masticatory performance of institutionalized patients: A cross-sectional study.

Archives of Gerontology and Geriatrics Plus

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Archives of Gerontology and Geriatrics Plus 2024年第4期1卷 100094-100094页

作者： Antonia Christina Samiou Maria Kokoti Theodora Slini Vassiliki Anastassiadou Bernd Kordaß Athina Bakopoulou Master of Science Postgraduate Program Greifswald University Germany Department of Prosthodontics School of Dentistry Aristotle University of Thessaloniki (AUTh) Greece Department of Mechanical Engineering School of Engineering Aristotle University of Thessaloniki (AUTh) Greece Polyclinic for Dental Prosthetics Department of Digital Dentistry Occlusion and Chewing Function Therapy Greifswald University Germany

This cross-sectional study aimed to determine the chewing ability of 97 institutionalized older adults and its relevance to their status of dentition and type of prosthetic rehabilitation. The participants were categorized according to their dental status. The chewing ability was determined by semi-quantitative evaluation of a colour-changeable chewing gum and by recording the personal perception of the participants on a similar scale. The colorimetric means of the participants was significantly lower than the perception means. One-third of the participants had at least one jaw restored with complete dentures, while 17% were restored with tooth-supported or implant-supported fixed partial dentures. Based on the colorimetric method, edentulous participants displayed significantly lower chewing performance compared to all other groups. Additionally, participants with at least one complete denture exhibited weaker chewing function than those with natural teeth or fixed partial dentures . The age and sex of the participants had no further impact on the results. As the institutionalized elderly seem to overestimate their chewing efficiency, the colour changeable chewing gum could be used in nursing homes, as a simple method to determine their real masticatory function status and improve their dental care.

关键词： Mastication Edentulism Colour-changeable chewing gum

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Adaptive PI-Based Fuzzy Logic Auto-Tuning Controller Design and Implementation for Tactile Shape Display Device 6

Adaptive PI-Based Fuzzy Logic Auto-Tuning Controller Design ...

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6th International Conference on Advanced Control Circuits and Systems and 5th International Conference on New Paradigms in Electronics and Information Technology, ACCS/PEIT 2019

作者： Alsayed, Y.M. Abouelsoud, A.A. Fath Elbab, A.M.R. Cairo Egypt Mechatronics and Robotics Engineering Department School of Innovative Design Engineering Egypt-Japan University of Science and Technology Mechatronics and Robotics Engineering Department PO Box: 21934 New Borg El Arab City Alexandria Egypt Cairo University Dept. of Electrical Engineering Cairo Egypt Assiut University Dept. of Mechanical Engineering Assiut Egypt

ISBN: (纸本)9781728163543

Tactile displays have been proposed as a human-computer interface. Nowadays, it is utilised in hundreds of applications and a standard means of information presentation. Shape information display became essential to many surgical tasks (finding hidden anatomical features and locating tumours). There is a strong need for shape tactile display devices particularly for specialists who ought to feel the tissue shape and hardness amid laparoscopic surgeries. This paper describes the design and implementation of adaptive position controller for a tactile shape display device. The proposed display comprises of an cluster of 3×3 upward/downward free mobile pins based on SMA actuators. Each actuator is competent of creating a 5 mm uprooting as greatest. Due to the complex hysteresis and non-linear response of SMA actuators, a fuzzy logic auto-Tuner algorithm is constructed to create the PI controller gains adaptive. The suggested controller is implemented to control the shape display tactile system. The proposed controller present prevalent response over existing controllers in the survey from point of no steady state error, no overshoot, no chattering and minimized hysteresis. © 2019 IEEE.

关键词： Controllers

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Accelerated and interpretable prediction of local properties in composites

APL Machine Learning

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APL Machine Learning 2023年第3期1卷

作者： Shengtong Zhang Satyajit Mojumder Wing Kam Liu Wei Chen Daniel W. Apley Department of Industrial Engineering and Management Sciences Northwestern University Evanston Illinois 60208 USA Theoretical and Applied Mechanics Program Northwestern University Evanston Illinois 60208 USA Department of Mechanical Engineering Northwestern University Evanston Illinois 60208 USA

The localized stress and strain field simulation results are critical for understanding the mechanical properties of materials, such as strength and toughness. However, applying off-the-shelf machine learning or deep learning methods to a digitized microstructure restricts the image samples to be of a fixed size and also lacks interpretability. Additionally, existing methods that utilize deep learning models to solve boundary value problems require retraining the model for each set of boundary conditions. To address these limitations, we propose a customized Pixel-Wise Convolutional Neural Network (PWCNN) to make fast predictions of stress and strain fields pixel-by-pixel under different loading conditions and for a wide range of composite microstructures of any size (e.g., much larger or smaller than the sample on which the PWCNN is trained). Through numerical experiments, we show that our PWCNN model serves as an alternative approach to numerical solution methods, such as finite element analysis, but is computationally more efficient, and the prediction errors on the test microstructure are around 5%. Moreover, we also propose an interpretable machine learning framework to facilitate the scientific discovery of why certain microstructures have better or worse performance than others, which has important implications in the design of composite microstructures in advanced manufacturing.

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Denaturation methods for reusable magnetic biosensors

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Lab on a chip 2025年 2025 May 29页

作者： Suhyeon Park Songeun Kim Shan X Wang Jung-Rok Lee Department of Mechanical and Biomedical Engineering Ewha Womans University Seoul 03760 Republic of Korea. Graduate Program in Smart Factory Ewha Womans University Seoul 03760 Republic of Korea. jungrok@ewha.ac.kr. Department of Materials Science and Engineering Stanford University Stanford California 94305 USA. Department of Electrical Engineering Stanford University Stanford California 94305 USA.

Nanoscale biosensors for sensitive DNA detection require advanced and precise fabrication techniques, which make them highly expensive and result in low yield rates. For such DNA biosensors, sensor regeneration is highly desirable. In this study, we investigated the effectiveness of various denaturants, including ultrapure water, urea solution, tris-ethylenediaminetetraacetic acid buffer, and dimethyl sulfoxide (DMSO), for the denaturation of target DNAs hybridized to probe DNAs on sensors. We used giant magnetoresistive (GMR) biosensors equipped with a temperature control unit in conjunction with magnetic nanoparticles. To examine the effect of DNA sequence on denaturation efficiency, 14 orthogonal DNA pairs were designed and tested. Furthermore, to maintain a consistent sensitivity in subsequent measurements, we evaluated the integrity of the probe DNAs on the sensors after denaturation. Among all the denaturants tested, 40% DMSO demonstrated excellent performance in the denaturation of probe DNAs covalently bonded to the sensors, without any heating process. This optimal denaturant can be applied to other planar DNA biosensor systems; moreover, GMR biosensors can facilitate the evaluation of newly developed denaturants.

关键词： Magnetic nanoparticles

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The surface properties of bamboo-activated carbon activated using H3PO4 agent with different activation temperatures

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AIP Conference Proceedings 2023年第1期2568卷

作者： Dewa Ngakan Ketut Putra Negara I. Made Widiyarta Tjokorda Gde Tirta Nindhia I. Made Astika Cokorda Istri Putri Kusuma Kencanawati 1)Mechanical Engineering Department of Udayana University Street of Bukit Jimbaran Bali 80361 Indonesia 2)Technology and Material Research Center of Udayana University Street of Bukit Jimbaran Bali 80361 Indonesia 3)Magister Program of Mechanical Engineering Engineering Faculty of Udayana University Street of PB Sudirman Bali 80114 Indonesia

The surface properties of activated carbon significantly determine the adsorption ability of activated carbon. These properties include pore volume, specific surface area, pore diameter, and surface morphology. This paper concerns investigating the surface properties of swat bamboo-activated carbon. The samples were carbonized at a temperature of 750°C for an hour and activated chemically using phosphoricy acid. The impregnation ratio applied was 1:1 (char:H3PO4, % weight). The activations were carried at variations temperatures of 400, 550 dan 700°C. The surface properties and morphology characterization were done by applied adsorption isotherm and SEM tests. The results of research show that increasing the activation temperature affects decreasing of pore volume and fluctuating of surface area and pore diameter. The best characteristics were obtained by activated carbon with an activation temperature of 400°C with specific surface area, pore-volume, and pore diameter of 463.30 m2/g, 0.45 cc/g, and 1.86 nm, respectively. The SEM images (surface morphology) of activated carbons showed significant improvement of activated carbon pores compared to the char, indicating the carbonization and activation are work well.

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Surface Topography of Ti 6Al 4V ELI after High Power EDM

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Procedia Manufacturing 2020年 47卷 788-794页

作者： Panagiotis Karmiris-Obratański Krzysztof Zagórski Jacek Cieślik Emmanouil Lazaros Papazoglou Angelos Markopoulos AGH University of Science and Technology Faculty of Mechanical Engineering and Robotics Department of Manufacturing Systems al. Mickiewicza 30 30-059 Cracow Poland National Technical University of Athens School of Mechanical Engineering Laboratory of Manufacturing Technology Heroon Polytechniou 9 15780 Athens Greece

Titanium alloys find extensive applications in the modern aerospace and offshore industry, as well in the field of biomedical implants. Nevertheless, the titanium inherent thermo-physical properties (low thermal conductivity and high chemical reactivity) make it a hard to machine material. For the efficient machining of titanium alloys, non-conventional machining processes are employed. Electrical Discharge Machining (EDM) is a non-contact machining process, in which the material removal occurs through repetitive electrical sparks. The capabilities of machining any electrically conductive material, regardless of its thermo-physical and other properties, render it as one of the most widely used non-conventional machining processes. As titanium alloys are used in high-quality parts and products, the integrity and texture of the machined surface constitute an essential parameter. The current study presents an experimental investigation of the surface texture and integrity of Ti6Al4V ELI after its machining with high power EDM. Namely, a full-scale experiment has been carried out, for pulse currents up to 65A and pulse-on time up to 200 μs, using graphite electrode. The surface texture (ST) and integrity has been estimated in terms of arithmetic mean height (Sa), the maximum height of scale-limited surface (Sz), maximum peak height (Sp), maximum pit height (Sv) and skewness of the scale-limited surface (Ssk). Additionally, through microscopy observation, the surface topography and integrity have been estimated, distinguishing and characterizing the surface cracks and micro-cracks. For all the above mentioned ST parameters, an Analysis of Variance (ANOVA) test has been performed.

关键词： Electrical Discharge Machining Titanium alloy Surface topography high power

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