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Journal articles on the topic 'MYT decomposition'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Li, Xiaoling, and Shuang shuang Liu. "Fault separation and detection algorithm based on Mason Young Tracy decomposition and Gaussian mixture models." International Journal of Intelligent Computing and Cybernetics 13, no. 1 (2020): 81–101. http://dx.doi.org/10.1108/ijicc-11-2019-0124.

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PurposeFor the large-scale power grid monitoring system equipment, its working environment is increasingly complex and the probability of fault or failure of the monitoring system is gradually increasing. This paper proposes a fault classification algorithm based on Gaussian mixture model (GMM), which can complete the automatic classification of fault and the elimination of fault sources in the monitoring system.Design/methodology/approachThe algorithm first defines the GMM and obtains the detection value of the fault classification through a method based on the causal Mason Young Tracy (MYT) decomposition under each normal distribution in the GMM. Then, the weight value of GMM is used to calculate weighted classification value of fault detection and separation, and by comparing the actual control limits with the classification result of GMM, the fault classification results are obtained.FindingsThe experiment on the defined non-thermostatic continuous stirred-tank reactor model shows that the algorithm proposed in this paper is superior to the traditional algorithm based on the causal MYT decomposition in fault detection and fault separation.Originality/valueThe proposed algorithm fundamentally solves the problem of fault detection and fault separation in large-scale systems and provides support for troubleshooting and identifying fault sources.

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2

Gulumbe, S. U., A. B. Zoramawa, Usman Umar, and M. U. Kilishi. "An Application of Hotelling's T2 Decomposition in a Multivariate Statistical Process Control." European Journal of Advances in Engineering and Technology 9, no. 3 (2022): 42–49. https://doi.org/10.5281/zenodo.10643822.

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<strong>ABSTRACT</strong> Multivariate Statistical Process Control (MSPC) is the most acceptable monitoring tool for several variables, it is advantageous when compared to the simultaneous use of univariate scheme. However, one of the challenges in this scheme is the identification of influential variable(s). Any signal by this scheme implies one or more variables in the process are out-of-control. Therefore, identification of such variable(s) correctly is very important. The aim of this research is to determine the variable(s) that cause out-of-control signal in cement production process of Cement Company of Northern Nigeria (CCNN), Sokoto. The data used for this research were percentages of clinker minerals (Alite, Bilite, Aluminate and Ferrite), obtained from the Cement Company of Northern Nigeria (CCNN), Sokoto. We achieved our aim through the construction of Hotelling’s T<sup>2</sup> phase I and II control charts, presentation of MYT decomposition models and computation of the T<sup>2</sup> decomposition terms. Observations composing of 100 samples regarding cement clinker variables in Phase I were acquired in order to form the reference data set in the application. It was found that 82 of these samples formed the reference data set as a result of 8 steps analyses. In Phase II, T<sup>2</sup> chart was constructed for 30 new observations and it was detected that 7 samples were out-of-control. The MYT decomposition revealed the T<sup>2</sup> values and their corresponding critical values, the T<sup>2</sup> values that were higher than their corresponding critical values were responsible for the out of control signal. We conclude that variable 4 (Ferrite) is the influential variable.

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3

Mihalkó, József, and Róbert Rajkó. "Investigation of Multivariate Statistical Process Control in R Enviroment." Analecta Technica Szegedinensia 11, no. 2 (2017): 36–40. http://dx.doi.org/10.14232/analecta.2017.2.36-40.

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At the first stage of our work, the theoretical knowledge needed to use the multivariate statistical process control (MSPC) was explored. Last year, we clarified the sometimes confused concepts, equations, and formulas [1]. At the second stage, R project simulation studies and some food industrial practical model investigations are carried out for confirming the MSPC advantages compared with the univariate ones. Furthermore, we analyse, using principal component analysis (PCA), what could cause the outlying values. Moreover, we will demonstrate how to use the MYT-decomposition.

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4

Salleh, Rohayu Mohd, Ng Jin Chuan, and Sabariah Saharan. "Monitoring Process Variability and Root Cause Analysis in Paper Box Production." International Journal of Engineering & Technology 7, no. 4.30 (2018): 492. http://dx.doi.org/10.14419/ijet.v7i4.30.22377.

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In this paper, monitoring procedure for process variability in multivariate setting based on individual observations which is a combination of (i) Hotelling’s T2 control chart in detecting out of control signal and (ii) implementation of Mason, Young and Tracy (MYT) decomposition and structure analysis technique for root cause analysis is introduced. The advantages of this procedure will be shown by using the case of a paper box production process in one of the Malaysian manufacturing companies. The successful application of this multivariate approach could act as a stimulant for most industries to imitate in process monitoring. Moreover, the computation efficiency in root cause analysis enables quality’s multiple characteristics to be monitored simultaneously. Based on the findings, the core issue that needs to be a matter of concern by the management team is the closure tap of the box. This process variation should be solved immediately to avoid the products’ quality from further deteriorating.

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5

Schilling, Katja, Daniel Bauer, Marcus C. Christiansen, and Alexander Kling. "Decomposing Dynamic Risks into Risk Components." Management Science 66, no. 12 (2020): 5738–56. http://dx.doi.org/10.1287/mnsc.2019.3522.

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The decomposition of dynamic risks a company faces into components associated with various sources of risk, such as financial risks, aggregate economic risks, or industry-specific risk drivers, is of significant relevance in view of risk management and product design, particularly in (life) insurance. Nevertheless, although several decomposition approaches have been proposed, no systematic analysis is available. This paper closes this gap in literature by introducing properties for meaningful risk decompositions and demonstrating that proposed approaches violate at least one of these properties. As an alternative, we propose a novel martingale representation theorem (MRT) decomposition that relies on martingale representation and show that it satisfies all of the properties. We discuss its calculation and present detailed examples illustrating its applicability. This paper was accepted by Baris Ata, stochastic models and simulation.

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6

Masteller, S., and L. Sorenson. "Cycle decomposition in NCL." IEEE Design & Test of Computers 20, no. 6 (2003): 38–43. http://dx.doi.org/10.1109/mdt.2003.1246162.

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7

van Kampen, Jacqueline. "Met zonder jas and other antonym errors in the spontaneous speech of Dutch children." Nota Bene 1, no. 2 (2024): 117–32. https://doi.org/10.1075/nb.00008.van.

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Abstract This paper focuses on antonym pairs in child Dutch. Children sometimes erroneously use the opposite word from what they intend to mean with <±polar> pairs. Psycholinguistic studies in the 1970ties suggest that the <−polar> member of dimensional adjectives, motion verbs and temporal adverbs is acquired before the <+polar> one. Another error occurs with the expression of absence. Dutch and German children sometimes say met zonder/mit ohne (‘with without’) as the antonym expression of met/mit. Sauerland, Meyer & Yatsushiro (2024) argue that the <−polar> negative member ohne can be conceptually decomposed in the positive member plus negation (mit-neg), which children fail to see. They ‘undercompress’ negation. The decomposition also holds for the <±polar> member of dimensional adjectives (neg-Adj). I will argue against both claims, the acquisition order and the undercompression idea. First, I discuss the met zonder/mit ohne errors and offer a new alternative analysis. Subsequently, other spontaneous speech errors with <±polar> pairs are considered.

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8

Berg, Björn, and Mikael Lönn. "Long-Term Effects of Climate and Litter Chemistry on Rates and Stable Fractions of Decomposing Scots Pine and Norway Spruce Needle Litter—A Synthesis." Forests 13, no. 1 (2022): 125. http://dx.doi.org/10.3390/f13010125.

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We have reviewed information on early-, late- and limit-value decomposition stages for litter of Norway spruce (Picea abies) and Scots pine (Pinus silvestris). This synthesis covers c 16 studies/papers made along a climatic gradient; range in mean annual temperature (MAT) from −1 to +7 °C and mean annual precipitation (MAP) from 425 to 1070 mm. Scots pine has an early stage dominated by carbohydrate decomposition and a late stage dominated by decomposition of lignin; Norway spruce has just one stage dominated by lignin decomposition. We used data for annual mass loss to identify rate-regulating factors in both stages; climate data, namely, MAT and MAP, as well as substrate properties, namely, nitrogen (N), acid unhydrolyzable residue (AUR), manganese (Mn). Early-stage decomposition for Scots pine litter was dominated positively by MAT; the late stage was dominated negatively by MAT, N, and AUR, changing with decomposition stage; there was no effect of Mn. Norway spruce litter had no early stage; decomposition in the lignin-dominated stage was mainly negative to MAP, a negative relationship to AUR and non-significant relationships to N and MAT. Mn had a positive relationship. Limit values for decomposition, namely, the accumulated mass loss at which decomposition is calculated to be zero, were related positively to Mn and AUR for Scots pine litter and negatively to AUR for Norway spruce litter. With different sets of rate-regulating factors as well as different compounds/elements related to the limit values, the decomposition patterns or pathways are different.

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9

Chen, Kui, Rui Chen Yang, and S. W. Cheng. "The Kinetic Analysis of Thermal Decomposition of PMMA/MMT Nanocomposites." Key Engineering Materials 353-358 (September 2007): 1366–69. http://dx.doi.org/10.4028/www.scientific.net/kem.353-358.1366.

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The thermal decomposition kinetics and thermal stability of poly (methyl methacrylate) (PMMA) and PMMA/ montmorillonite (MMT) nanocomposites containing 4 wt% MMT were researched by thermogravimetry (TG). The results show that, because of the barrier behavior of exfoliated MMT layer, the temperature of thermal decomposition of PMMA/ MMT nanocomposites is improved by about 10 °C, and thermal stability is improved by about double. The apparent activation energy of decomposition, calculated by Ozawa equation, of nanocomposites is higher than that of PMMA before 27 % mass loss.

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10

ZENAB, Rida-e. "Decompositions of semigroups." TURKISH JOURNAL OF MATHEMATICS 45, no. 6 (2021): 2511–33. http://dx.doi.org/10.3906/mat-2107-20.

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11

Zhao, Jicheng, and Zhanpeng Jin. "Isothermal decomposition of supercooled austenite in steels." Materials Science and Technology 8, no. 11 (1992): 1004–10. http://dx.doi.org/10.1179/mst.1992.8.11.1004.

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12

Djordjievski, Stefan, Zorica Sovrlic, Tamara Urosevic, Jelena Petrovic, and Vesna Krstic. "Preventing decomposition of 2-mercaptobenzothiazole during gas chromatography analysis using programmable temperature vaporization injection." Journal of the Serbian Chemical Society 82, no. 10 (2017): 1147–53. http://dx.doi.org/10.2298/jsc161114041d.

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2-mercaptobenzothiazole (MBT) is a chemical compound which is widely used in various processes in chemical industry, and it was also detected in environmental samples. Most of the researchers employed liquid chromatography (LC) or gas chromatography (GC) for determination of MBT. When GC was used, derivatization was necessary in order to prevent decomposition of MBT inside of the hot GC inlet. In this study, a new approach for preventing decomposition of MBT using programmable temperature vaporization (PTV) was presented. The sample was injected in a cold inlet (40?C) and the temperature was raised gradually until the analyte was evaporated. Contrary to hot splitless injection, no decomposition of MBT was observed using PTV. Compared to derivatization, PTV requires no chemicals and the duration of analysis is reduced.

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13

Savaşkan, T., and S. Murphy. "Decomposition of Zn–Al alloys on quench–aging." Materials Science and Technology 6, no. 8 (1990): 695–704. http://dx.doi.org/10.1179/mst.1990.6.8.695.

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14

Parayil, T. R., and P. R. Howell. "Decomposition of deformed ferrite in a duplex stainless steel." Materials Science and Technology 2, no. 11 (1986): 1131–39. http://dx.doi.org/10.1179/mst.1986.2.11.1131.

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15

Genderen, M. J. van, S. J. Sijbrandij, A. Böttger, E. J. Mittemeijer, and G. D. W. Smith. "Atomprobe analysis of initial decomposition of Fe-N martensite." Materials Science and Technology 13, no. 10 (1997): 806–12. http://dx.doi.org/10.1179/mst.1997.13.10.806.

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16

Thanh, Nguyen Hong, Roman O. Olekhnovich, Mayya V. Uspenskaya, Vera E. Sitnikova, and Collins Ngoe Elangwe. "EFFECT OF POLYMER RATIO ON THERMAL PROPERTIES OF POLYHYDROXYBUTYRATE/POLYHYDROXYHEXANOATE." Bulletin of the Saint Petersburg State Institute of Technology (Technical University) 66 (2023): 27–30. http://dx.doi.org/10.36807/1998-9849-2023-66-92-27-30.

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In this study, a PHB nanofiber mat with various concentrations of PHH was successfully prepared by the electrospinning method. The morphology of the PHB nanofibers was observed by the microscope. Fourier transform infrared spectroscopy (FTIR) was used to evaluate the characteristic groups for the PHB sample with various concentrations of PHH in pellet and nanofibers mat form. DSC analysis was used to investigate the change in melting point and the crystallization temperature of PHB with various concentrations of PHH. TG and DTG were used to test the decomposition temperature as well as the mass loss of PHB pellet and PHB nanofiber mat with various concentrations of PHH. The DSC, DTA, and TGA thermal analysis results showed that the melting, glass transition, decomposition initiation, and decomposition termination temperatures decreased with increasing PHH concentrations

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17

Baslamisli, Anil S., Partha Das, Hoang-An Le, Sezer Karaoglu, and Theo Gevers. "ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition." International Journal of Computer Vision 129, no. 8 (2021): 2445–73. http://dx.doi.org/10.1007/s11263-021-01477-5.

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AbstractIn general, intrinsic image decomposition algorithms interpret shading as one unified component including all photometric effects. As shading transitions are generally smoother than reflectance (albedo) changes, these methods may fail in distinguishing strong photometric effects from reflectance variations. Therefore, in this paper, we propose to decompose the shading component into direct (illumination) and indirect shading (ambient light and shadows) subcomponents. The aim is to distinguish strong photometric effects from reflectance variations. An end-to-end deep convolutional neural network (ShadingNet) is proposed that operates in a fine-to-coarse manner with a specialized fusion and refinement unit exploiting the fine-grained shading model. It is designed to learn specific reflectance cues separated from specific photometric effects to analyze the disentanglement capability. A large-scale dataset of scene-level synthetic images of outdoor natural environments is provided with fine-grained intrinsic image ground-truths. Large scale experiments show that our approach using fine-grained shading decompositions outperforms state-of-the-art algorithms utilizing unified shading on NED, MPI Sintel, GTA V, IIW, MIT Intrinsic Images, 3DRMS and SRD datasets.

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18

Singh, S., S. Lele, and C. Suryanarayana. "Decomposition behaviour of rapidly quenched Al–Nb alloys– TEM study." Materials Science and Technology 2, no. 8 (1986): 788–94. http://dx.doi.org/10.1179/mst.1986.2.8.788.

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19

Shek, c. H., G. J. Shen, J. K. L. Lai, and B. J. Duggan. "Early stages of decomposition of ferrite in duplex stainless steel." Materials Science and Technology 10, no. 4 (1994): 306–11. http://dx.doi.org/10.1179/mst.1994.10.4.306.

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20

Doğan, Fatih, and İsmet Kaya. "Solid State Decomposition Kinetics of Green Light Emitting Polyphenol Nanoparticles." Materials Focus 5, no. 1 (2016): 5–10. http://dx.doi.org/10.1166/mat.2016.1297.

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21

Kryspin, Marek. "Oseledets decomposition on sub semiflow." Electronic Journal of Differential Equations 2024, no. 01-?? (2024): 45. http://dx.doi.org/10.58997/ejde.2024.45.

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The existence of the Oseledets decomposition on continuously embedded subspaces of Banach spaces is proved in this paper. Natural assumptions facilitating such transfer of the Oseledets decomposition are presented, notably conditions often met by dynamical systems generated by differential equations. For more information see https://ejde.math.txstate.edu/Volumes/2024/45/abstr.html

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22

Vreugdenhil, Andrew J., and Ian S. Butler. "Detection of the Engine Anti-Knock Additive Methylcyclopentadienyl Manganese Tricarbonyl (MMT) from Unleaded Gasoline in Soil by Diffuse Reflectance Infrared Fourier Transform Spectroscopy and Mass Spectrometry." Applied Spectroscopy 49, no. 4 (1995): 482–85. http://dx.doi.org/10.1366/0003702953964282.

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Soil samples were washed with dilute solutions of the toxic anti-knock fuel additive methylcyclopentadienyl manganese tricarbonyl (MMT) in hexanes and commercial unleaded gasoline. Diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) was then used to detect the v(CO) modes of MMT, and subsequently 13CO-enriched MMT, in the soil samples. The presence of MMT in the soils was further confirmed by mass spectrometry. Concentrations corresponding to ∼10 ppm Mn in soil could be detected by DRIFTS of the dry samples, and, most interestingly, there was no evidence of significant MMT decomposition over a period of eight months. Apparently, MMT is stabilized by physisorption onto the soils. In the absence of such stabilization, however, MMT undergoes photolytic and thermal decomposition in a matter of minutes. These results suggest the possibility of longer-term environmental problems associated with gasoline spills containing MMT than was previously suspected.

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23

Liu, Zhixiang, Chenkai Zhang, Wenhao Zhu, and Dongmei Huang. "A Physics-Informed Neural Network Based on the Boltzmann Equation with Multiple-Relaxation-Time Collision Operators." Axioms 13, no. 9 (2024): 588. http://dx.doi.org/10.3390/axioms13090588.

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The Boltzmann equation with multiple-relaxation-time (MRT) collision operators has been widely employed in kinetic theory to describe the behavior of gases and liquids at the macro-level. Given the successful development of deep learning and the availability of data analytic tools, it is a feasible idea to try to solve the Boltzmann-MRT equation using a neural network-based method. Based on the canonical polyadic decomposition, a new physics-informed neural network describing the Boltzmann-MRT equation, named the network for MRT collision (NMRT), is proposed in this paper for solving the Boltzmann-MRT equation. The method of tensor decomposition in the Boltzmann-MRT equation is utilized to combine the collision matrix with discrete distribution functions within the moment space. Multiscale modeling is adopted to accelerate the convergence of high frequencies for the equations. The micro–macro decomposition method is applied to improve learning efficiency. The problem-dependent loss function is proposed to balance the weight of the function for different conditions at different velocities. These strategies will greatly improve the accuracy of the network. The numerical experiments are tested, including the advection–diffusion problem and the wave propagation problem. The results of the numerical simulation show that the network-based method can obtain a measure of accuracy at O10−3.

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24

MA, Congbian, Ping LI, and Youliang HOU. "Convergence and Gundy’s decomposition for noncommutative quasi-martingales." TURKISH JOURNAL OF MATHEMATICS 42, no. 5 (2018): 2724–34. http://dx.doi.org/10.3906/mat-1706-75.

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25

Stollings, Michael N., Richard E. Edwards, and William L. Rankin. "Using Mission Decomposition Tools in Advanced Cockpit Applications." Proceedings of the Human Factors Society Annual Meeting 32, no. 2 (1988): 140–44. http://dx.doi.org/10.1177/154193128803200230.

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This paper describes an interactive, computer-based Mission Decomposition Tool (MDT) developed as part of the Cockpit Automation Technology Program sponsored by the Air Force System Command's Human Systems Division. The purpose of this tool is to improve the efficiency of the crewstation design process. Specific activities supported by the MDT include generation and decomposition of Air-to-Air and Air-to-Ground mission scenarios; generation of mission event timelines; and post-flight analysis. Mission generation/decomposition involves the laydown of maps, map features (streams, roads, etc.), threats, targets, and waypoints. The mission event timeline is generated automatically when a mission is flown and may be edited to ensure that unique mission activities are included. Post-flight analysis options include plots of threat exposure, terrain masking, terrain following, terrain clearance, discrete mission events, and aircraft performance data. The MDT strengthens the connection between analysis and test and evaluation activities in the areas of mission planning, pilot briefing, simulation set-up, performance assessment, and post-flight analysis.

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26

Salehabadi, Ali, and Abu Bakar Mohamad. "Epoxidized Natural Rubber-Organomodified Montmorillonite Nanohybrids; Interaction and Thermal Decomposition." Materials Science Forum 756 (May 2013): 119–26. http://dx.doi.org/10.4028/www.scientific.net/msf.756.119.

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Nanohybrids, based on a modified natural rubber,Epoxidized Natural Rubber (ENR-50), and organomodified montmorillonite (MMT) containing alkyl ammonium, were prepared by solvent casting technique. Morphology and non-isothermal degradation of ENR-50 and various ENR/MMT nanohybrids were characterized by POM, SEM and TG-DTG. In the hybrid materials,an increase MMT loading in the ENR-50 increased the maximum decomposition temperature (Tmax) of thermal profiles. Kissinger and Ozawa plots deduced a trend of the decomposition activation energy, Ed, which is related to the agglomeration and heat transfer ability of MMT. A mechanism comprising of the degradation of ENR-50 via scission of epoxy-isoprene chains to shorter chains, ring opening reaction and the possible interactions of modified nanoclay and ENR-50 is discussed.

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27

Copetti, M. I. M., and C. M. Elliott. "Kinetics of phase decomposition processes: numerical solutions to Cahn–Hilliard equation." Materials Science and Technology 6, no. 3 (1990): 273–84. http://dx.doi.org/10.1179/mst.1990.6.3.273.

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28

Korichi, S., and R. Priestner. "High temperature decomposition of austempered microstructures in spheroidal graphite cast iron." Materials Science and Technology 11, no. 9 (1995): 901–7. http://dx.doi.org/10.1179/mst.1995.11.9.901.

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29

Doğan, Fatih, and ismet Kaya. "Thermal Decomposition Kinetics of Poly(5-hydroxyquinoline) Synthesized by Oxidative Polycondensation." Materials Focus 3, no. 4 (2014): 310–17. http://dx.doi.org/10.1166/mat.2014.1186.

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30

Chen, Na Li, Hui Xia Feng, Jing Wei Guo, He Ming Luo, and Jian Hui Qiu. "Biodegradable Poly(lactic Acid)/TDI-Montmorillonite Nanocomposites: Preparation and Characterization." Advanced Materials Research 221 (March 2011): 211–15. http://dx.doi.org/10.4028/www.scientific.net/amr.221.211.

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Activated montmorillonite(MMT) was modified by toluene diisocyanate(TDI) and TDI-montmorillonite(TDI-MMT) was prepared. The characterization of TDI-MMT was carried out by X-ray diffraction(XRD) and fourier transform infrared spectrometry (FT-IR). The results showed that TDI had been inserted to the interlayer of MMT and the interlayer spacing of MMT increased by 0.26nm. With stannous chloride as catalyst, the biodegradable polylactide acid/TDI-montmorillonite(PLA/TDI-MMT) nanocomposites were synthesized through ring-opening polymerization of lactide in the layer of TDI-MMT by in-situ polymerization. The structure and thermal stability of nanocomposites were investigated by XRD, FT-IR and thermogravimetry (TG). Exfoliated nanocomposites were obtained as shown by XRD results. FT-IR spectra confirmed that TDI-MMT participated in the ring-opening polymerization of lactide. TG analysis indicated the decomposition temperature of nanocomposites rose and the thermal stability was improved contrast to the neat PLA. The effect of the content of TDI-MMT on the molecular weight and thermal stability of nanocomposites was studied. With the increase of the proportion of TDI-MMT, the molecular weight of resultant nanocomposites decreased and the decomposition temperature rose at the range of experiment research.

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31

Rios, P. R., and R. W. K. Honeycombe. "Effect of niobium on decomposition of austenite in 0·2C–10Cr steel." Materials Science and Technology 8, no. 12 (1992): 1057–62. http://dx.doi.org/10.1179/mst.1992.8.12.1057.

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32

Wu, Lidan, Xiaoyan Meng, Xuejun Wang, Leshu Yu, Siyan Peng, and Jianying Xie. "Reaction mechanism of the cation radicals of thymine and thymine derivatives in aqueous solution: A theoretical study." Journal of Theoretical and Computational Chemistry 16, no. 08 (2017): 1750070. http://dx.doi.org/10.1142/s0219633617500705.

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Mechanisms of decomposition reaction of thymine cation radicals (T[Formula: see text]), 1-methyl substituted T[Formula: see text] (1-MeT[Formula: see text]), and 1,3-dimethyl substituted T[Formula: see text] (1,3-Me2T[Formula: see text]) generated by ionizing radiation or one-electron oxidation to thymine, 1-methylthymine and 1,3-dimethylthymine in aqueous solution have been investigated by theoretical calculations. Seven reaction paths including H2O or OH[Formula: see text] addition, and deprotonation were considered. The most likely reaction for T[Formula: see text] decomposition is N1 deprotonation forming T(-N1H)[Formula: see text]. When N1 hydrogen is replaced by methyl, T[Formula: see text] would deprotonate from C5 methyl group generating 1-methyl substituted UCH[Formula: see text] in neutral solution, and reaction with OH[Formula: see text] producing 1-methyl substituted T6OH[Formula: see text] in basic solution. When N1 and N3 hydrogens are both replaced by methyl, T[Formula: see text] decomposition reaction is similar to 1-MeT[Formula: see text], indicating that N3 hydrogen barely influences the subsequent reaction of 1-MeT[Formula: see text]. These results can provide theoretical support for experimental observations.

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33

ARRAR, Nawel, Natalia DJELLAB, and Jean-Bernard BAILLON. "On the stochastic decomposition property of single server retrialqueuing systems." TURKISH JOURNAL OF MATHEMATICS 41 (2017): 918–32. http://dx.doi.org/10.3906/mat-1511-2.

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34

Dervisic, S., H. Avdusinović, A. Gigovic-Gekic, D. Kasapović, and S. Pašić. "Influence of ausferrite microstructure decomposition on the corrosion properties of austempered ductile iron." Materiali in Tehnologije 54, no. 3 (2020): 393–96. http://dx.doi.org/10.17222/mit.2019.224.

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35

Fang, R., H. Tan, W. Mao, et al. "Influence of carbon and additives on the high-temperature decomposition behavior of phosphogypsum." Materiali in tehnologije 54, no. 6 (2020): 861–65. http://dx.doi.org/10.17222/mit.2020.083.

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36

Huang, Xinghua, Guanqiu Qi, Hongyan Wei, Yi Chai, and Jaesung Sim. "A Novel Infrared and Visible Image Information Fusion Method Based on Phase Congruency and Image Entropy." Entropy 21, no. 12 (2019): 1135. http://dx.doi.org/10.3390/e21121135.

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In multi-modality image fusion, source image decomposition, such as multi-scale transform (MST), is a necessary step and also widely used. However, when MST is directly used to decompose source images into high- and low-frequency components, the corresponding decomposed components are not precise enough for the following infrared-visible fusion operations. This paper proposes a non-subsampled contourlet transform (NSCT) based decomposition method for image fusion, by which source images are decomposed to obtain corresponding high- and low-frequency sub-bands. Unlike MST, the obtained high-frequency sub-bands have different decomposition layers, and each layer contains different information. In order to obtain a more informative fused high-frequency component, maximum absolute value and pulse coupled neural network (PCNN) fusion rules are applied to different sub-bands of high-frequency components. Activity measures, such as phase congruency (PC), local measure of sharpness change (LSCM), and local signal strength (LSS), are designed to enhance the detailed features of fused low-frequency components. The fused high- and low-frequency components are integrated to form a fused image. The experiment results show that the fused images obtained by the proposed method achieve good performance in clarity, contrast, and image information entropy.

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37

DERYA, Ayşe Mutlu. "A decomposition of transferable utility games: structure of transferable utility games." TURKISH JOURNAL OF MATHEMATICS 39 (2015): 200–211. http://dx.doi.org/10.3906/mat-1404-56.

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Zakrzewska, Beata. "Very Sensitive Optical System with the Concentration and Decomposition Unit for Explosive Trace Detection." Metrology and Measurement Systems 22, no. 1 (2015): 101–10. http://dx.doi.org/10.1515/mms-2015-0005.

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AbstractThe vapour pressure of most explosives is very low. Therefore, the explosive trace detection is very difficult. To overcome the problem, concentration units can be applied. At the Institute of Optoelectronics MUT, an explosive vapour concentration and decomposition unit to operate with an optoelectronic sensor of nitrogen dioxide has been developed. This unit provides an adsorption of explosive vapours from the analysed air and then their thermal decomposition. The thermal decomposition is mainly a chemical reaction, which consists in breaking up compounds into two or more simple compounds or elements. During the heating process most explosive particles, based on nitro aromatics and alkyl nitrate, release NO2 molecules and other products of pyrolysis. In this paper, the most common methods for the NO2 detection were presented. Also, an application of the concentration and decomposition unit in the NO2 optoelectronic sensor has been discussed.

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He, Z., and M. C. Chaturvedi. "X-ray diffraction study of spinodal decomposition in Ni–14·5 at.-%Ge alloy." Materials Science and Technology 9, no. 8 (1993): 642–46. http://dx.doi.org/10.1179/mst.1993.9.8.642.

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Li, Qing Hong, Xiang Sun, Li Zhang, Na Guo, Xi Qin Zhang, and Li Hua Dong. "Photocatalytic Degradation of the Tributyltin by Titanium Dioxide Photocatalysts." Applied Mechanics and Materials 341-342 (July 2013): 258–61. http://dx.doi.org/10.4028/www.scientific.net/amm.341-342.258.

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Tributyltin (TBT) in water was photocatalytically decomposed in the presence of TiO2film photo-catalyst, which was prepared by coating TiO2on the industry pure titanium foil. The photocatalytic decomposition rate of TBT is up to 93.8% within 30 min. Photocatalytic decomposition of TBT was greatly enhanced with rate constant nearly 3 times as that by photolysis. TBT decomposed in a stepwise manner, and the main products were monobutyltin (MBT), which is further decomposed to inorganic tin in the system.

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Pedersen, MØ, O. Serrano, MÁ Mateo, and M. Holmer. "Temperature effects on decomposition of a Posidonia oceanica mat." Aquatic Microbial Ecology 65, no. 2 (2011): 169–82. http://dx.doi.org/10.3354/ame01543.

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Mangold, Michael, and Mykhaylo Krasnyk. "Modellreduktion von Populationssystemen mit Hilfe von Proper Orthogonal Decomposition." at - Automatisierungstechnik 60, no. 9 (2012): 561–73. http://dx.doi.org/10.1524/auto.2012.1027.

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Zhu, Guangyong, Zuobing Xiao, Rujun Zhou та Yunwei Niu. "Pyrolysis characteristics and kinetics of β-cyclodextrin and its two derivatives". Polish Journal of Chemical Technology 17, № 4 (2015): 1–4. http://dx.doi.org/10.1515/pjct-2015-0061.

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Abstract β-cyclodextrin (β-CD) and its derivatives have been widely used to prepare inclusion complexes. However, systematic research on their thermal stabilities, pyrolysis characteristics and kinetics has rarely been reported. In this paper, thermogravimetric analysis was employed to investigate β-cyclodextrin and its two derivatives, 2-Hydroxypropyl-β-cyclodextrin (HP-β-CD) and monochlorotriazinyl-β-cyclodextrin (MCT-β-CD). The pyrolysis characteristics and kinetic parameters were obtained. The results show that three stages can be distinguished during the heating process of the above three samples. The temperature of initial decomposition of HP-β-CD (309.5°C is higher than that of β-CD (297.8°C), while the temperature of initial decomposition of MCT-β-CD (231.4°C) is lower than that of β-CD. For the three cyclodextrins, the thermal stability in descending order is HP-β-CD, β-CD and MCT-HP-β-CD. The activation energy values are 350.6, 303.3 and 113.9 KJ/mol, and the pre-exponential factor values are 1.11×1031, 1.37×1026 and 1.39×1010 for β-CD, HP-β-CD and MCT-β-CD respectively.

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Mat Yazik, Muhamad Hasfanizam, Mohamed Thariq Hameed Sultan, Mohammad Jawaid, et al. "Effect of Nanofiller Content on Dynamic Mechanical and Thermal Properties of Multi-Walled Carbon Nanotube and Montmorillonite Nanoclay Filler Hybrid Shape Memory Epoxy Composites." Polymers 13, no. 5 (2021): 700. http://dx.doi.org/10.3390/polym13050700.

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The aim of the present study has been to evaluate the effect of hybridization of montmorillonite (MMT) and multi-walled carbon nanotubes (MWCNT) on the thermal and viscoelastic properties of shape memory epoxy polymer (SMEP) nanocomposites. In this study, ultra-sonication was utilized to disperse 1%, 3%, and 5% MMT in combination with 0.5%, 1%, and 1.5% MWCNT into the epoxy system. The fabricated SMEP hybrid nanocomposites were characterized via differential scanning calorimetry, dynamic mechanical analysis, and thermogravimetric analysis. The storage modulus (E’), loss modulus (E”), tan δ, decomposition temperature, and decomposition rate, varied upon the addition of the fillers. Tan δ indicated a reduction of glass transition temperature (Tg) for all the hybrid SMEP nanocomposites. 3% MMT/1% MWCNT displayed best overall performance compared to other hybrid filler concentrations and indicated a better mechanical property compared to neat SMEP. These findings open a way to develop novel high-performance composites for various potential applications, such as morphing structures and actuators, as well as biomedical devices.

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Law, N. C., S. A. Parsons, P. R. Howell, and D. V. Edmonds. "Crystallography of carbide precipitation at transformation interfaces during austenite decomposition in a low-alloy steel." Materials Science and Technology 3, no. 8 (1987): 642–48. http://dx.doi.org/10.1179/mst.1987.3.8.642.

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Zhang, X. D., and M. H. Loretto. "Stability and decomposition mechanisms of supersaturated solid solutions in rapidly solidified aluminium–transition metal alloys." Materials Science and Technology 12, no. 1 (1996): 19–24. http://dx.doi.org/10.1179/mst.1996.12.1.19.

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Lim, S. C., D. H. Kim, J. S. Kim, C. H. Lee, and E. P. Yoon. "Decomposition kinetics of machining oil and oxidation of A356.2 aluminium alloy in aluminium recycling process." Materials Science and Technology 13, no. 10 (1997): 859–64. http://dx.doi.org/10.1179/mst.1997.13.10.859.

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ODABAŞI, Uğur. "Decompositions of complete symmetric directed graphs into the oriented heptagons." TURKISH JOURNAL OF MATHEMATICS 45, no. 4 (2021): 1660–67. http://dx.doi.org/10.3906/mat-2007-54.

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Zhang, Wen Yi, Rong Chen, Ting Ting Zhao, Pei Cheng Fang, and Suo Hua Wu. "Research on Strengthening Decomposition of Organic Nitrogen by Ammonibacteria in the Faber Cymbidium Plant Floating Island." Advanced Materials Research 340 (September 2011): 429–35. http://dx.doi.org/10.4028/www.scientific.net/amr.340.429.

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Owing to the characteristics of the effluent with high concentration of ammonia nitrogen and low removal rate in the most artificial plants floating islands, two strains A1, A2 with high-efficiency ammonification screened from the laboratory were selected to use for enhancing decomposition capability of organic nitrogen in the plants floating island in order to improve nitrogen removal. The result showed that the decomposition rate of organic nitrogen by strains A1, A2 were 81.80% and 72.68% respectively, at the same time, decomposition equation was in line with zero order degradation reaction. Moreover, decomposition rates were VA1=0.8310mg/L•h and VA2=0.7619mg/L•h. The simulated ecosystem of sewage treatment was constructed by faber cymbidium (evergreen plant) plant floating island, and then the decomposition reaction of organic nitrogen met first-order kinetic equation in which k was 0.0752. If the strain was put into the previous simulated ecosystem, hydraulic retention time was shortened greatly and the degradation speed of ammonia nitrogen could be accelerated by cooperating action between amonifying bacteria and plant floating island. Furthermore, the ammonia nitrogen of the effluent could meet first discharge demand of integrated wastewater discharge standard (GB8978-1996) after 48h.

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Xie, Kangde, Xiuyu Wei, Longgang Ye, Mingyuan Wan, Shilin Li, and Jianguo Wu. "Recovery and Preparation of Potassium Fluorotantalate from High-Tantalum-Bearing Waste Slag by Pressure Alkaline Decomposition." Metals 12, no. 4 (2022): 648. http://dx.doi.org/10.3390/met12040648.

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Tantalum slag is a type of high-grade tantalum resource with great recovery value. In this paper, a low fluorine process, including alkali pressure decomposition, low-acid transformation, solvent extraction, and crystallization, is proposed to recover tantalum and prepare potassium fluotantalate. First, some tantalum slag underwent alkali pressure decomposition, and the optimal decomposition conditions were obtained under a reaction time of 2 h, oxygen partial pressure 2.5 MPa, liquid–solid ratio 4:1, basicity 40 wt.%, and temperature 200 °C. Under these conditions, the decomposition efficiencies of Ta and Nb were 93.62% and 95.42%, respectively. X-Ray diffraction (XRD) and scanning electron microscope (SEM) were used to detect the main phase of the decomposition residue and showed that it was mainly sodium tantalate. With the increase in oxygen partial pressure, the particle size of decomposition slag gradually decreases and becomes loose. Second, the alkali decomposition residue was subjected to low-acid leaching to obtain fluorine tantalate and fluorine niobate, and the leaching efficiencies of tantalum and niobium were more than 99%. Last, the low-acid leaching solution was subjected to solvent extraction and evaporative crystallization to prepare potassium fluotantalate. The results showed that the tantalum extraction rate and tantalum and niobium separation factors were above 94% and 200, respectively, and the purity of potassium fluotantalate met the requirements of commercial products. Compared with current industrial practice, the consumption of hydrofluoric acid was greatly reduced, and the recovery rate of tantalum was increased.

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