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Articles de revues sur le sujet « Predicitons »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 10 mars 2023

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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 mathematical formulas for flow factors, grain/grain collision elasticity, grain size, and roughness are presented and discussed. Predicitons for the elastic and inelastic cases are graphically demonstrated and compared. The derived average lubrication equation for grain flow shows good agreement with the theoretical and experimental data of Yu, Craig, and Tichy [J. Rheol., 38(4), 921 (1994)].

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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 positive minor strain side of the forming limit diagram. It is observed that limit strains are strongly dependent on the shape of the yield locus. Forming limits predicted using Hill’s 1993 yield criterion are compared with those predicted using Hill’s 1948 and 1979 criteria. Results from the bifurcation analysis are also compared with experimental observations, as well as the limit strain predicitons based on the M-K analysis.

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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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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 presence of circular no-slip rigid walls. The method is wholly spectral, and relies on a Galerkin approximation by a set of functions that obey two boundary conditions at the wall radius (analogues of the Chandrasekhar— Reid functions). It is possible to explore Reynolds numbers up to the order of 1250, based on an RMS velocity and a box radius. It is found that decaying turbulence is altered significantly by the no-slip boundaries. First, strong boundary layers serve as sources of vorticity and enstrophy and enhance the early-time energy decay rate, for a given Reynolds number, well above the periodic boundary condition values. More importantly, angular momentum turns out to be an even more slowly decaying ideal invariant than energy, and to a considerable extent governs the dynamics of the decay. Angular momentum must be taken into account, for example, in order to achieve quantitative agreeement with the predicition of maximum entropy, or ‘most probable’, states. These are predicitions of conditions that are established after several eddy turnover times but before the energy has decayed away. Angular momentum will cascade to lower azimuthal mode numbers, even if absent there initially, and the angular momentum modal spectrum is eventually dominated by the lowest mode available. When no initial angular momentum is present, no behaviour that suggests the likelihood of inverse cascades is observed.

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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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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 coefficients. According to the result of model test, the prediction of the hybrid monohull’s the longitudinal motion in regular waves at speed of 18kn also indicates that RANS method can reflect viscid influence reducing the motion of hybrid monohull in waves.

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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 optimization plays a role in optimizing the hyper-parameters of Gaussian process regression, which solves the issue that conjugate gradient algorithms depend on initial value setting and are susceptible to be confined by locally optimal solutions. According to the study, the proposal of the paper is superior to a separate Gaussian process regression or grey prediction in terms of better predicting gold demands.

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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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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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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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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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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 this ANN. The results obtained were an average accuracy of 55.04% and 55.73% respectively, demonstrating that algorithms such as a GA have the capability of improving the performance of ANN for the stock market prediciton.

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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 maximum amount of explosive material per time delay and the distance of measurement from the location of the explosion. This method has been widely researched to produce several empirical equations from each explosion location studied. However, as technology develops, several studies have tried to use artificial intelligence technology, one of which is the artificial neural network algorithm as a new approach for predicting detonation vibrations. In this method, the development of the parameters used in predicting the weighting of the most influential parameters from the formation of detonation vibrations can be carried out. This study will review several studies related to the use of artificial neural networks in predicting blasting vibrations in the studies that have been carried out and also compare with prediction methods using several empirical equations.

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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 multiple sectors such as property, construction and real estate. Data collection method by documentation. Discriminant analysis results depicts that liquidity ratio(CA/CL), profitability (EBIT/TA and NI/SALES), activity (SALES/TA), and solvability (BV/TL and TL/EQUITY) could be used to distinguish which company are experiencing financial distress and which are not.

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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 predicitions of the compounds were determined to possess satisfying findings. Since the target determination of the compounds according to literature is point out their cytotoxic properties, the DNA gyrase enzyme was chosen as common enzymatic pathway, and evaluated via docking studies. Compound 3b, namely methyl 4-[[4-(2-methylthiazol-4-yl)phenyl]amino]-4-oxobutanoate was detected to possess a potential to inhibit DNA gyrase-ATPase activity.

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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 of the machines, and flawed scheduling. It is suggested to improve the service by work measurment to help predict the needs for repair schedule, rectifying the supply and maintenance system, as well as scheduling system according to the demands of repair service, repair time prediction, and the repair schedule of the machine itself

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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 numerical models (ROMS, MOHID). The above three data were compared through three error evaluation methods (Correlation Coefficient (CC), Root Mean Square Errors (RMSE), and Normalized Cumulative Lagrangian Separation (NCLS)). As a final result, the decision tree model had the best prediction accuracy in CC and RMSE, and the MOHID model had the best prediction results in NCLS.

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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 large, there are significant signal characteristics appearing in the high frequency band of 75~100 kHz. The exponent of the root mean square(RMS) of AE signals is positively correlated with the exponent of the leakage rate only if the leakage rate is greater than 2~3 mL/min. This find could be used to predict the internal leakage rate of hydraulic spool valves.

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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. Cross-Industry Standard Process for Data Mining is used as a research model. The obtained result shows the significant of some attributes in predicting learning outcomes. Four correlation-based attributes selection schemas are applied. The selected attributes are examined using four data mining algorithms: random forest, k-nearest neighbors, Decision Tree, and neural network. The overall performance of the constructed mining models is evaluated using various performance measures: Accuracy, Precision, Recall and F1-score are calculated. Overall, an 86% accuracy is secured.

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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. The potential factors affecting the refrigerating performance are discussed first. In view of these, three health indicators representing the degradation process of cryocoolers are constructed and then a multi-indicator method based on particle filter is proposed for remaining useful life prediction. Finally, the proposed method is validated by a Stirling cryocooler from one retired aircraft, and the results show that the constructed health indicators and remaining useful life prediciton approaches are effective for performance assessment of Stirling 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. However, condition self-concept was more positively related to exercise than other components of physical self-concept, and importance ratings of specific components of physical self-concept were positively related to exercise. These results support the construct validity of multidimensional physical self-concept responses, the value of specific domains of self-concept most relevant to a particular application rather than global measures of self, and the usefulness of importance ratings for predicting exercise activity.

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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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Mullar, Dayane da Silva Pereira, Ricardo José de Souza, Marco Aurelio Pinho Oliveira, and Leila Cristina Soares. "Risk prediction for HPV-induced lesions in early sexual intercourse." Research, Society and Development 11, no. 11 (2022): e103111133571. http://dx.doi.org/10.33448/rsd-v11i11.33571.

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Objective: This study aims to compare the effects of age at first sexual intercourse (sexarche) and menarche-sexarche interval in predicting the incidence of human papillomavirus (HPV)-induced lesions. Material & Methods: This is a cross-sectional study of 698 women with normal or HPV-induced lesions, diagnosed cytologically or histologically. Results: After multivariate analysis, the probability of developing HPV-induced lesions increased by 63% for those with menarche-sexarche interval of 3 years or less. Additionally, smoking, parity, and age were relevant in prediciting the risk. Conclusion: Sexarche within the first 3 years from menarche was associated with the occurrence of HPV-induced lesions as an independent factor, unlike sexarche, indicating that menarche-sexarche interval of less than 3 years may be an important parameter for the definition of early sexual intercourse.

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Farhannah, Farhannah Silmi Az Zahra, and Solikhun Solikhun. "PENERAPAN ALGORITMA NAIVE BAYES DALAM MENENTUKAN KONSENTRASI SISWA TERHADAP PROSES BELAJAR MENGAJAR DI SMP TAMAN ASUHAN." Jurnal RESISTOR (Rekayasa Sistem Komputer) 4, no. 2 (2021): 142–55. http://dx.doi.org/10.31598/jurnalresistor.v4i2.730.

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The purpose of this study is to analyze whether students concentrate or not on the teaching and learning process at Pematangsiantar Park in SMP. To determine the concentration of students in the teaching and learning process, the Naive Bayes classification of data mining methods is used. Sources of research data were obtained using a questionnaire distributed to Pematangsiantar Park Middle School. So hopefully this research can help the government and the school in monitoring the concentration of students so that it can help in improving the quality and quality of schools. Based on that research that has been done,the writer uses the Naïve Bayes Method to predict student concentration resulting in a value of 95.31%, while the predicition of lack of concentration results in a value of 100.00%

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Huo, Weiyue, Jihong Zhu, and Jing Zhou. "Power Distribution Control Framework for Renewable Energy Architecture with Battery-Supercapacitor Based Hybrid Energy Storage Systems." Energies 14, no. 24 (2021): 8312. http://dx.doi.org/10.3390/en14248312.

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Due to the intermittence and randomness of the renewable energy, hybrid energy storage system is widely adopted to suppress the power fluctuation. Power distribution is crucial for the robust and efficient operation of hybrid energy system. This paper proposes an innovative framework for hybrid energy storage system power distribution combining main circuit topology, modulation method and power distribution strategy. Firstly, hybrid modulation strategy to realize power distribution in a single-phase inverter is introduced. Then, power load prediction and low frequency filter are utilized to generate references for power distribution. Finally, the simulation model is established to test the framework and the result demonstrates the superiority of the proposed framework. The mean absolute percent error of the proposed SSA-LSTM mdoel is 0.0955 and the prediciton error by 40% compared with conventional LSTM model. Additionally, the energy management framework can adjust the port power distribution ratio flexibily to significantly suppress the power fluctuation of the grid and the operation cost of the hybrid energy storage system by reducing the charge and discharge cycle of the battery.

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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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