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1

Küker, Manfred, and Günther Rüdiger. "Differential rotation and meridional flows in stellar convection zones." Proceedings of the International Astronomical Union 9, S302 (2013): 194–95. http://dx.doi.org/10.1017/s174392131400204x.

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AbstractDifferential rotation and meridional flow are key ingredients in flux transport dynamo models of the solar activity cycle. As the subsurface flow pattern is not sufficiently constrained by observations, it is a major source of uncertainty in solar and stellar dynamo models. We discuss the current mean field theory of stellar differential rotation and meridional flows and its predicitons for the Sun and stars on the lower main sequence.
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Jeng, Yeau-Ren, and Hung-Jung Tsai. "Grain Flow for Rough Surfaces Considering Grain/Grain Collision Elasticity." Journal of Tribology 127, no. 4 (2005): 837–44. http://dx.doi.org/10.1115/1.2005287.

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Previous work by this group on an average lubrication equation for grain flow with roughness effects is extended to include grain-grain collision elasticity ranging from perfectly elastic to perfectly inelastic. The average lubrication equation is based on Haff’s grain flow theory, with flow factors from Patir and Cheng and Tripp’s use of perturbation. The derived flow factors are obtained as functions of rough surface characteristics, grain size, and collision pattern. As collision energy loss approaches zero, the inelastic results approach those for perfectly elastic grain collision. The mat
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Xu, Siguang, Klaus J. Weinmann, and Abhijit Chandra. "Analysis of Forming Limits Using the Hill 1993 Yield Criterion." Journal of Engineering Materials and Technology 120, no. 3 (1998): 236–41. http://dx.doi.org/10.1115/1.2812349.

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Forming limits of thin sheets are investigated using a yield criterion recently proposed by Hill (1993). This criterion utilizes five independent material parameters, which can be determined from uniaxial and balanced biaxial experiments, to describe a wide range of material properties of sheet metals, including the anomalous behavior of aluminum. In the present work, a bifurcation analysis is pursued to predict the onset of localized necking in strain rate insensitive sheet materials. A detailed parametric study is then conducted to evaluate the effect of various material parameters on the po
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Gurevich, Boris. "Comparison of the low-frequency predicitons of Biot’s and de Boer’s poroelasticity theories with Gassmann’s equation." Applied Physics Letters 91, no. 9 (2007): 091919. http://dx.doi.org/10.1063/1.2778763.

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Kerr, E. D., and A. Weiss. "Fungicide Efficacy and Yield Responses to Fungicide Treatments Based on Predicitons of Cercospora Leaf Spot of Sugar Beet." Journal of Sugarbeet Research 27, no. 3&4 (1990): 58–71. http://dx.doi.org/10.5274/jsbr.27.3.58.

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Jain, Pulkita, and Mudassir Rashid. "Predictive Modeling for Early Hyperglycemia Detection in Type 2 Diabetes." Illinois Tech Undergraduate Research Journal 1, no. 1 (2023): 6. http://dx.doi.org/10.18409/urjiit.v1i1.44.

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Type 2 Diabetes (T2D) is characterized by a combination of defects in insulin action and impairment in insulin secretion. Deficient insulin action causes people with Type 2 Diabetes to have difficulty controlling their blood glucose concentration (BGC) and experience periods of high (hyperglycemia) and low (hypoglycemia) BGC. Continuous glocuse monitoring (CGM) sensors and machine learning algorithms can automate the process of meal size estimation, improve the accuracy of the carbohydrate estimations, and reduce the involvement of the subject. The aim of this project was to use dynamic Partia
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Heinemeyer, S., M. Mondragón, and G. Zoupanos. "Finite unified theories and their predicitions." Physics of Particles and Nuclei 44, no. 2 (2013): 299–315. http://dx.doi.org/10.1134/s1063779613020159.

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Li, Shuojun, David Montgomery, and Wesley B. Jones. "Inverse cascades of angular momentum." Journal of Plasma Physics 56, no. 3 (1996): 615–39. http://dx.doi.org/10.1017/s0022377800019498.

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Most theoretical and computational studies of turbulence in Navier—Stokes fluids and/or guiding-centre plasmas have been carried out in the presence of spatially periodic boundary conditions. In view of the frequently reproduced result that two-dimensional and/or MHD decaying turbulence leads to structures comparable in length scale to a box dimension, it is natural to ask if periodic boundary conditions are an adequate representation of any physical situation. Here, we study, computationally, the decay of two-dimensional turbulence in a Navier—Stokes fluid or guiding-centre plasma in the pres
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Jović, Srđaj, and Hivzo Skrijelj. "CHIP FORM PREDICITON BY COMPUTATIONAL INTELLIGENCE TECHNIQUES." Journal of Production Engineering 21, no. 1 (2018): 6–10. http://dx.doi.org/10.24867/jpe-2018-01-006.

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Dybowski, Richard, and Peter R. Weller. "Prediciton regions for the visualization of incomplete datasets." Computational Statistics 16, no. 1 (2001): 25–41. http://dx.doi.org/10.1007/pl00022718.

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Hakim, Edward B. "Plastic encapsulated microcircuit reliability predicition: why?" Microelectronics Reliability 38, no. 4 (1998): 681–83. http://dx.doi.org/10.1016/s0026-2714(97)00219-9.

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Zheng, Jia Li, Tuan Fa Qin, Dong Xue Wei, Qin Huan Huang, and Lin Deng. "Disparity Estimation of 3-D Mesh for Stereo Video Coding." Applied Mechanics and Materials 571-572 (June 2014): 835–39. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.835.

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This paper proposed a disparity estimation method based on the three-dimensional (3-D) mesh model. The disparity estimation is a key step in stereo video coding. By employing intermediate view synthesis, the proposed technique simulate the nodals in the 3-D sureface of stereo image efficiently. Simulated results show that the proposed technique yields a visually more accurate prediciton than the block-matching algorithm.
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13

Tian, Bo, Hui Long Ren, and Zhi Yuan Dong. "Research on Longitudinal Motion Prediction of Hybrid Monohull Considering Based on Numerical Simulation." Applied Mechanics and Materials 716-717 (December 2014): 776–79. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.776.

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The shape of hybrid monohull at the bow is quite complex and the viscosity force is the main component of the damping force in the drainage area of the bow when the ship moves in waves so that the result of the motion predicition by the traditional potential flow method is very different from the result of experiments. This paper tries to use new numerical compute method considering the effect of the viscosity to improve the precision of the sea keeping predicition. Based on the Reynolds Averaged N-S Equations (RANS) method, the paper takes a hrbrid monohull to compute the hydrodynamic coeffic
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Horii, Yukihiko, and Shigeru Ohkita. "Prediciton of Weld Metal Microstructure. (1). Low Alloy Steels." Journal of the Japan Welding Society 60, no. 8 (1991): 632–36. http://dx.doi.org/10.2207/qjjws1943.60.632.

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Cline, W. O. "PREDICITING BLUEBERRY STEM BLIGHT IN NEW PLANTINGS." Acta Horticulturae, no. 446 (August 1997): 421–26. http://dx.doi.org/10.17660/actahortic.1997.446.61.

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Jiajing, Jiang, Cui Qingan, and Zhu Aoquan. "Research on Gold Demand Prediciton Based on GM-GPR Model." E3S Web of Conferences 253 (2021): 02014. http://dx.doi.org/10.1051/e3sconf/202125302014.

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The prediction system of gold demands in China is faced with issues such as uncertain factors, limited historical data, and nonlinearity. In order to have a more accurate prediction of gold demands, a prediction method based on the integration of grey prediction and Gaussian process regression is proposed. Specifically, equal weights are assigned to each model and a grey prediction is adopted to reflect the uncertain and changing relationship of gold demands, with Gaussian process regression indicating the nonlinear impacts of factors on gold demands. Moreover, modified particle swarm optimiza
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Nishimoto, Kazutoshi. "Prediciton of Microstructure in the Weld Metal. (2). Stainless Steel." Journal of the Japan Welding Society 60, no. 8 (1991): 637–41. http://dx.doi.org/10.2207/qjjws1943.60.637.

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Harris, C., M. A. DeBeliso, K. J. Adams, and B. S. Irmischer. "ACCURACY OF THE ACSM METABOLIC PREDICITON EQUATION IN TRAINED RUNNERS." Medicine & Science in Sports & Exercise 35, Supplement 1 (2003): S193. http://dx.doi.org/10.1097/00005768-200305001-01075.

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Norman, Paul. "Social learning theory and the prediciton of attendance at screening." Psychology & Health 5, no. 3 (1991): 231–39. http://dx.doi.org/10.1080/08870449108400424.

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Wei, L., and J. Griffin. "THE PREDICITON OF SEAT TRANSMISSIBILITY FROM MEASURES OF SEAT IMPEDANCE." Journal of Sound and Vibration 214, no. 1 (1998): 121–37. http://dx.doi.org/10.1006/jsvi.1998.1540.

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Suzuki, Takeshi, Hidenori Shibaki, and Katsuyuki Suzuyama. "PREDICITON OF INUNDATION DISASTER DUE TO STORM SURGE UNDER GLOBAL WARMING." Coastal Engineering Proceedings 1, no. 34 (2014): 32. http://dx.doi.org/10.9753/icce.v34.management.32.

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Wu, Shao Chen, Hai Sheng Liu, and Fu Liang Deng. "Segmented Auxiliary Power Model Based on Particle Swarm Optimization." Advanced Materials Research 1044-1045 (October 2014): 1321–24. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1321.

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The traditional modeling approach of auxiliary power is the least squares method, however, accuracy of the traditional least squares method is not high in fitting and forecasting, so we introduced segmentation method of least squares model, and consider the impact of many factors on the model ,proposed the improved least square method based on PSO. Application prove this method has a better fitting precision and predicition accuracy.
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Peter, Jerine S., Nagesh Kishan Panchal, Aishwaria V. Nair, Kshitija Joshi, Andrews Shobhy Sosa, and Evan Prince Sabina. "ADME and Inhibitory target molecules predicition of Cyamopsis tetragonoloba." RESEARCH JOURNAL OF PHARMACY AND TECHNOLOGY 14, no. 1 (2021): 146–52. http://dx.doi.org/10.5958/0974-360x.2021.00026.3.

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Tsarouchi, Marialena I., Anna N. Karahaliou, Katerina G. Vassiou, Spyros G. Skiadopoulos, and Lena I. Costaridou. "ADC histogram analysis for prediciting highly aggressive breast carcinomas." Physica Medica 32 (September 2016): 282. http://dx.doi.org/10.1016/j.ejmp.2016.07.631.

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Kallunki, J. "The Predicition of Solar Flares Using Millimeter Radio Brightenings." Latvian Journal of Physics and Technical Sciences 60, no. 2 (2023): 43–51. http://dx.doi.org/10.2478/lpts-2023-0010.

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Abstract Solar activity could have significant impacts on various Earth and near-Earth space systems, such as satellite communication and power grid systems. The prediction of solar activity and active solar events plays a major role when preparing for these disturbances. Various satellite-based instruments constantly observe the Sun. However, only a few ground-based solar instruments could provide versatile enough information for the space weather prediction. Metsähovi Radio Observatory of Aalto University (Finland) has a unique collection of millimetre (8 mm) solar radio maps over the past 4
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Manukyan, Larisa Vladimirovna, Anush Ashotovna Margaryan, Suren Vladimirovich Tovmasyan, and Narine Vahanovna Harutyunyan. "CRUSTAL DISPLACEMENT BASED ON THREE STAGES GEODETIC STUDIES RESULTS IN SPITAK GEODYNAMIC POLYGON." EurasianUnionScientists 2, no. 6(75) (2020): 37–41. http://dx.doi.org/10.31618/esu.2413-9335.2020.2.75.832.

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A network of dual-frequency global navigation satellite systems and digital levelling instruments has been established around Spitak, Armenia with the goal of recording changes to the Earth’s crust near to this major earthquake zone. The study was initiated in response to the 1988 Armenian earthquake and is focused on the Sarighamish, Javakhet, Pambak-Sevan, Spitak and Akhuryan faults. Results demonstrate differential movement across fault zones that suggest monitoring of crustal change could be useful in the predicition of large earthquake events.
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Roemer, F. W., C. K. Kwoh, T. Fujii, et al. "OP0124 Mri-Based Long Term Predicition of Incident Radiographic Osteoarthritis." Annals of the Rheumatic Diseases 73, Suppl 2 (2014): 108.1–108. http://dx.doi.org/10.1136/annrheumdis-2014-eular.3209.

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Gao, Zhe, and Qigang Gao. "Ad-centric Model Discovery for Prediciting Ads's Click-through Rate." Procedia Computer Science 19 (2013): 155–62. http://dx.doi.org/10.1016/j.procs.2013.06.025.

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Lin, Xin Yan, Yan Li, and Zhang Yan. "Load-Deflection Analysis of RC Beams Strengthened with External CFRP Sheets." Applied Mechanics and Materials 166-169 (May 2012): 1830–35. http://dx.doi.org/10.4028/www.scientific.net/amm.166-169.1830.

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Abstract. This paper is dedicated to the load-deflection analysis of RC beams strengthened with external CFRP sheets. A theoretical nonlinear model, based on slip and bond stresses, is described and adopted for the deformability predicition of beams. The model allows considering the bond-slip relationships both between concrete and steel bar and between concrete and CFRP. Comparisons between the simulated midspan deflection and that of experiment indicate that the proposed nonlinear model is able to predict the deformability behavior of RC beams strengthened with external CFRP sheets.
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JOHNS, KENNETH A. "Spin Correlation in $t\bar t$ Production $p\bar p$ Collisions at $\sqrt{s} =1.8\, {\rm TeV}$." International Journal of Modern Physics A 16, supp01a (2001): 366–68. http://dx.doi.org/10.1142/s0217751x01006942.

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The DØ collaboration has performed a study of spin correlation in [Formula: see text] production for the process [Formula: see text], where the W bosons decay to e ν or μ ν. A sample of six events was collected by the DØ detector from an integrated luminosity of approximately 125 pb -1 of [Formula: see text] collisions. The degree of spin correlation is characterized by a correlation coefficient κ. We find that κ > -0.25 at the 68% confidence level, in agreement with the SM predicition of κ = 0.88.
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Branco Neto, Wilson Castello, Andrey de Aguiar Salvi, and William Passig de Souza. "Hybrid Neural Networks Applied to Brazilian Stock Market." Revista de Informática Teórica e Aplicada 27, no. 2 (2020): 42–65. http://dx.doi.org/10.22456/2175-2745.88911.

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The stock market is a stochastic, dynamic environment and is in constant evolution, and its prediction represents a big challenge. Many studies presented in the state of the art are facing this challenge, by making use of Artificial Neural Networks (ANN) as a tool to make such prediction. In this paper a comparative study is made with different methods in order to predict the Brazilian stock market through the Bovespa Index. An ANN was developed and its performance was compared against a hybrid model, in which a Genetic Algorithm (GA) is proposed as an alternative to improve the performance of
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Rezan, Tahtaci, ArslanEngin Deniz, and Kavalci Cemil. "Scoring systems in prediciting mortality rate of patients applying emergency department." Journal of Acute Disease 7, no. 3 (2018): 122. http://dx.doi.org/10.4103/2221-6189.236826.

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Maulana, Yuga, Yuga Maulana, Ganda Marihot Simangunsong, and Tri Karian. "Review Of The Artificial Neural Network Application In Prediciting Blast Vibration." Jurnal GEOSAPTA 7, no. 1 (2021): 47. http://dx.doi.org/10.20527/jg.v7i1.9353.

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The blasting method is one of the best hard rock excavation methods in mining activities. This method has negative impacts, one of which is the vibrations generated by the residual energy of the explosion. This impact will affect the environment around the blasting area, both slope stability, tunnels, infrastructure, and human settlements if it is close to the blasting site. Therefore, it needs initial planning and prediction to anticipate the blasting vibration that occurs. In general, the blast vibration can be predicted using the scale distance method which uses two parameters, namely the m
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Misawa, Masayoshi. "Deployment reliability predicition for large satellite antennas driven by spring mechanisms." Journal of Spacecraft and Rockets 31, no. 5 (1994): 878–82. http://dx.doi.org/10.2514/3.26526.

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Rani, K. Saroja, and P. V. V. Satyana rayana. "Role of Engineering Properties in Prediciting Collapisble Behaviour of Red Soils." International Journal of Civil Engineering 5, no. 12 (2018): 17–21. http://dx.doi.org/10.14445/23488352/ijce-v5i12p103.

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Wang, L., and U. H. Sauer. "OnD-CRF: prediciting order and disorder in proteins conditional random fields." Bioinformatics 24, no. 13 (2008): 1562. http://dx.doi.org/10.1093/bioinformatics/btn261.

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Ongkowidjojo, Alberto Orson, Anastasia Njo, and Januar Budiman. "A Financial Distress Prediciton on Property, Construction, and Real Estate Companies Listed in BEI." Dimensi Utama Teknik Sipil 7, no. 1 (2020): 1–9. http://dx.doi.org/10.9744/duts.7.1.1-9.

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The slowing of economic growth in Indonesia could cause financial distress for companies in property, construction and real estate sectors as these companies has enormous amount of GDP contributions in Indonesia. These difficulties are related to companies being able to accomplish all its responsibilities in short nor long terms. In assessing financial status of a company, discriminant analysis could be of use to see financial ratio such as liquidity ratio, profitability, activity and solvability. This research consists of comparative and sample pulling technique towards 81 population in multi
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Yurttaş, Leyla, Asaf Evrim Evren, and Yusuf Özkay. "Synthesis and In Silico Evaluation of Some New 2,4-Disubstituted Thiazole Derivatives." European Journal of Life Sciences 1, no. 1 (2022): 8–19. http://dx.doi.org/10.55971/ejls.1089425.

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The synthesis and antiproliferative activity investigation of methyl 3/4-[[4-(2-substituted thiazol-4-yl)phenyl]amino]-3-oxopropanoate/(4-oxobutanoate) (3a-h) derivatives were aimed in this work. The synthesis of the new compounds were carried out by a simple, multiple-step synthetic procedure. The physicochemical properties of the compounds were determined using SwissADME and QuickProp software systems. Additionally, virtual target and toxicity predictions were carried out for all final compounds. The pharmacokinetics/physicochemical, druglikeness properties and biological target and toxicity
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Hon, Elvin, and Augustpaosa Nariman. "FAKTOR-FAKTOR YANG MEMPENGARUHI PREDIKSI KEBANGKRUTAN PERUSAHAAN PADA PERUSAHAAN MANUFAKTUR." Jurnal Paradigma Akuntansi 5, no. 4 (2023): 1558–66. http://dx.doi.org/10.24912/jpa.v5i4.26412.

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This research aims to examine the effect of cash flow, profitability, and leverage on the predicition of corporate bankruptcy in manufacturing companies listed on the Indonesia Stock Exchange for the period 2018-2020. This study used a purposive samnpling method and obtained 19 companies and total of samples in this study were 57 samples. The method in this study used logistic regression analytics with Eviews12 and Microsoft Excel. The results of this study shows that cash flow, profitability, and leverage has an insignificant effect on prediction of corporate bankruptcy. Then, the cash flow v
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Azmi Anwar Sidik and Caecilia Sri Wahyuning. "IMPLEMENTASI METODE SIX SIGMA DALAM PENETAPAN STRATEGI PENINGKATAN KUALITAS JASA PERBAIKAN TURBIN." Jurnal Rekavasi 10, no. 1 (2022): 18–25. http://dx.doi.org/10.34151/rekavasi.v10i1.3843.

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Companies that are involved in turbine repair service and maintenance often suffered from delayed work, which affected customer satisfaction and trust. Six-Sigma method is used to solve the delay issue. According to the research result, it is found that the capability of servicing process of a turbine in this company is 1.346s with DPMO of 560810.8. This condition is categorised as low, below the industry average in Indonesia of 2s with DPMO of 308.538. The main cause of the delay is with the unreliable work-hour prediciton, unreliability and unavailability of materials from suppliers, failure
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Ha, Seung Yun, Han-Sam Yoon, and Young-Taeg Kim. "A Study on the Prediction of the Surface Drifter Trajectories in the Korean Strait." Journal of Korean Society of Coastal and Ocean Engineers 34, no. 1 (2022): 11–18. http://dx.doi.org/10.9765/kscoe.2022.34.1.11.

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In order to improve the accuracy of particle tracking prediction techniques near the Korean Strait, this study compared and analyzed a particle tracking model based on a seawater flow numerical model and a machine learning based on a particle tracking model using field observation data. The data used in the study were the surface drifter buoy movement trajectory data observed in the Korea Strait, prediction data by machine learning (linear regression, decision tree) using the tide and wind data from three observation stations (Gageo Island, Geoje Island, Gyoboncho), and prediciton data by nume
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Song, Fei, Likun Peng, Jia Chen, and Benmeng Wang. "Internal Leakage Predicition of Hydraulic Spool valves Based on Acoustic Emission Technology." Journal of Physics: Conference Series 2113, no. 1 (2021): 012016. http://dx.doi.org/10.1088/1742-6596/2113/1/012016.

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Abstract In order to realize the nondestructive testing (NDT) of the internal leakage fault of hydraulic spool valves, the internal leakage rate must be predicted by AE (acoustic emission) technology. An AE experimental platform of internal leakage of hydraulic spool valves is built to study the characteristics of AE signals of internal leakage and the relationship between AE signals and leakage rates. The research results show the AE signals present a wideband characteristic. The main frequencies are concentrated in 30~50 kHz and the peak frequency is around 40 kHz. When the leakage rate is l
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Cheng, Kefei. "The Water Quality Predicition Based on the Gray Model and Curve Fitting." Journal of Information and Computational Science 10, no. 8 (2013): 2329–35. http://dx.doi.org/10.12733/jics20101558.

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AKAMATSU, Yoshihisa, Hirotaka FURUSAWA, Kazutoshi OSAWA, and Daisuke KAMIYA. "PREDICITION OF HABITAT SUITABILITY FOR MUDSKIPPER IN THE MAIN ISLAND OF OKINAWA." Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 67, no. 4 (2011): I_1693—I_1698. http://dx.doi.org/10.2208/jscejhe.67.i_1693.

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Adnan Alnawas, Anwar, Mohammed Al-Jawad, and Hasanein Alharbi. "A PREDICITON MODEL BASED ON STUDENTS’S BEHAVIOR IN E-LEARNING ENVIRONMENTS USING DATA MINING TECHNIQUES." Journal of Engineering and Sustainable Development 26, no. 5 (2022): 115–26. http://dx.doi.org/10.31272/jeasd.26.5.11.

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E-Learning has become an essential teaching approach during the COVID-19 pandemic. All over the world, various internet-based learning management systems (Google classroom, Moodle, etc.) were adopted to convey knowledge and enhance learning outcomes. However, measuring learning outcomes and knowledge acquisition in E-Learning environment is a controversial issue. To this end, this paper aims to predict learning outcomes using data mining techniques. Student data are collected and analyzed to construct the prediction model. The collected data covered students from various undergraduate studies.
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Song, Lei, Haoran Liang, Wei Teng, and Lili Guo. "Health indicator construction and remaining useful life prediction for space Stirling cryocooler." Advances in Mechanical Engineering 11, no. 12 (2019): 168781401989673. http://dx.doi.org/10.1177/1687814019896734.

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Stirling cryocoolers are widely used to refrigerate significant facilities in military and aerospace applications. However, under the influences of high-frequency piston motion and thermal environment deterioration, the refrigerating performance of Stirling cryocoolers will worsen inevitably, thus affecting the successful accomplishment of space mission. In this article, a methodology on assessing the performance of space Stirling cryocoolers is proposed, which involves the analysis of the failure mechanism, health indicator construction and remaining useful life prediction of the cryocooler.
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Marsh, Herbert W., and Robert J. Sonstroem. "Importance Ratings and Specific Components of Physical Self-Concept: Relevance to Predicting Global Components of Self-Concept and Exercise." Journal of Sport and Exercise Psychology 17, no. 1 (1995): 84–104. http://dx.doi.org/10.1123/jsep.17.1.84.

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Fox (1990) proposed a personalized hierarchical model of physical self-concept that integrated self-concept and perceived importance ratings, and he developed instruments to measure these constructs. Alternative approaches based on his instruments are evaluated with data from Sonstroem, Harlow, and Josephs’ (1994) study of 216 adult female aerobic dancers and their exercise activity. Consistent with previous research, there was little support for importance weighted-average or importance discrepancy models in the prediciton of self-esteem, general physical self-concept, or exercise behavior. H
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Rieger, Oliver S., Max Hackelöer, Leon Schmidt, Mark Neznansky, Wolfgang Henrich, and Stefan Verlohren. "P-039. Building clinically usable machine-learning models for outcome predicition in preeclampsia." Pregnancy Hypertension 25 (September 2021): e41. http://dx.doi.org/10.1016/j.preghy.2021.07.074.

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Honest, H., L. M. Bachmann, A. Coomarasamy, J. K. Gupta, J. Kleijnen, and K. S. Khan. "P285: Accuracy of transvaginal cervical length in prediciting preterm birth?A systematic review." Ultrasound in Obstetrics and Gynecology 22, S1 (2003): 147. http://dx.doi.org/10.1002/uog.750.

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Peixoto, Edison, Rodrigo Peixoto, Ivana Borges, Ricardo Peixoto, Alexandre Aragao, and Vanessa Marcolla. "CRT-200.80 Primary Percutaneous Coronary Intervention in Diabetic Patients. Independents Predicitors of Survival and Event-free Survival." JACC: Cardiovascular Interventions 9, no. 4 (2016): S27. http://dx.doi.org/10.1016/j.jcin.2015.12.112.

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