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correlation

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Book Chapter
Series: AIPP Books, Professional
Published: March 2023
EISBN: 978-0-7354-2547-7
ISBN: 978-0-7354-2544-6
... to a trajectory (electron do not move on an orbit) A particle passes through one of the two slits, but we do not know which A quantum object cannot simultaneously possess position and momentum Correlation wave function—impacts distribution The uncertainty relation does not set a limit on how good...
Book Chapter
Series: AIPP Books, Professional
Published: March 2023
10.1063/9780735425514_024
EISBN: 978-0-7354-2551-4
ISBN: 978-0-7354-2548-4
...] ( AIP , College Park, MD , 2020 ), see https://www.compadre.org/per/items/detail.cfm?ID=15463 . Cohen , J. , Statistical Power Analysis for the Behavioral Sciences ( Academic Press , New York, NY , 1977 ). Cohen , J.   et al. , Applied Multiple Regression/Correlation Analysis...
Book Chapter
Series: AIPP Books, Methods
Published: March 2023
10.1063/9780735425743_006
EISBN: 978-0-7354-2574-3
ISBN: 978-0-7354-2572-9
... that there is a separation between increasing and decreasing the corresponding potential of quantum dots, which is called the critical diameter of the dot. There is a correlation between the transition pressure (Pt) and diameter dependence to compute the difference in molar free energy...
Book Chapter
Series: AIPP Books, Principles
Published: March 2023
10.1063/9780735425590_002
EISBN: 978-0-7354-2559-0
ISBN: 978-0-7354-2556-9
.... As the material properties are intricately correlated with the atomic structure, strain engineering has long been explored by experimentalists and theorists alike to design new and unique material properties by altering the structure. It is, therefore, vital to study the role of strain not only to understand...
Book Chapter
Series: AIPP Books, Methods
Published: March 2023
EISBN: 978-0-7354-2574-3
ISBN: 978-0-7354-2572-9
... of semiconductors ,” in Advances in Condensed Matter Physics , edited by A. H.   Reshak ( Research Signpost , Kerala , 2009 ). Al-Douri , Y. , Abid , H. , Zaoui , A. , and Aourag , H. , “ Correlation between the ionicity character and the heteropolar band gap in semiconductors...
Book Chapter
Series: AIPP Books, Professional
Published: March 2023
10.1063/9780735425712_013
EISBN: 978-0-7354-2571-2
ISBN: 978-0-7354-2568-2
... in % Correlation PV_1 56.77 15.78 56.13 16.77 r = .826; p < .001 PV_2 54.43 15.312 55.63 18.33 r = .841; p < .001 PV_3 57.63 11.27 56.33 12.45 r = .770; p < .001 PV_4 46.39 12.84 38.87 16.04 r = .928; p < .001 PV_5 53.26 16.92 53.07 18.66 r = .881 p < .001...
Book Chapter
Series: AIPP Books, Methods
Published: March 2023
EISBN: 978-0-7354-2574-3
ISBN: 978-0-7354-2572-9
... – 15 ( 2019 ). 10.1016/j.apenergy.2019.04.006 Kato , R. and Gmehling , J. , “ Measurement and correlation of vapor-liquid equilibria of binary systems containing the ionic liquids [EMIM][(CF3SO2)2N], [BMIM][(CF3SO2)2N...
Book Chapter
Series: AIPP Books, Methods
Published: March 2023
10.1063/9780735425743_009
EISBN: 978-0-7354-2574-3
ISBN: 978-0-7354-2572-9
... to minimize the parameter estimation bias resulting from the time correlation between the known and unknown inputs. The first approach uses an estimate-then-predict approach to the predict unknown disturbances. The second adopts a direct prediction approach of the unknown disturbances during training...
Book Chapter
Series: AIPP Books, Professional
Published: March 2023
10.1063/9780735425477_008
EISBN: 978-0-7354-2547-7
ISBN: 978-0-7354-2544-6
... on an orbit) A particle passes through one of the two slits, but we do not know which A quantum object cannot simultaneously possess position and momentum Correlation wave function—impacts distribution The uncertainty relation does not set a limit on how good the momentum can be determined...
Book Chapter
Series: AIPP Books, Principles
Published: March 2023
0
EISBN: 978-0-7354-2561-3
ISBN: 978-0-7354-2560-6
... , M. S. , Naderi , M. J. , and Safari , A. , “ An environmentally conscious photovoltaic supply chain network design under correlated uncertainty: A case study in Iran ,” J. Clean. Prod.   262 , 121434 ( 2020 ). 10.1016/j.jclepro.2020.121434 Derick , M. , Rani , C...
Book Chapter
Series: AIPP Books, Principles
Published: March 2023
10.1063/9780735425590_004
EISBN: 978-0-7354-2559-0
ISBN: 978-0-7354-2556-9
... the strain effect on metal insulator transition in functional oxides relevant for a variety of applications. Vanadium dioxide is a correlated electron material that undergoes a sharp metal insulator transition (MIT) around 68 °C in bulk crystals and shows several orders of resistance change with hysteresis...
Book Chapter
Series: AIPP Books, Principles
Published: March 2023
0
EISBN: 978-0-7354-2559-0
ISBN: 978-0-7354-2556-9
.... , McGuire   M. A.  et al., “ Slater insulator in iridate perovskites with strong spin-orbit coupling ,” Phys. Rev. Lett.   117 , 176603 ( 2016 ). 10.1103/PhysRevLett.117.176603 Dagotto , E. , “ Complexity in strongly correlated electronic systems ,” Science   309 , 257 – 262...
Book Chapter
Series: AIPP Books, Principles
Published: March 2023
10.1063/9780735425613_003
EISBN: 978-0-7354-2561-3
ISBN: 978-0-7354-2560-6
.... (2020) proposed a multi-objective formulation for the photovoltaic supply chain (PVSC) under correlated uncertainty. The first objective function was the total cost, while the second objective was the environmental impact. An important assumption was the existence of a strong correlation between...
Book Chapter
Series: AIPP Books, Principles
Published: March 2023
10.1063/9780735425590_frontmatter
EISBN: 978-0-7354-2559-0
ISBN: 978-0-7354-2556-9
... and transport on correlated systems; however, there is a vastly growing interest on the interrelated functionalities of technologically important smart materials. In conventional texts, there are limited discussions on the inter-relation that deal with unconventional properties like electrostriction...
Book Chapter
Series: AIPP Books, Methods
Published: March 2023
EISBN: 978-0-7354-2574-3
ISBN: 978-0-7354-2572-9
.... , “ Hybrid modeling for the prediction of leaching rate in leaching process based on negative correlation learning bagging ensemble algorithm ,” Comput. Chem. Eng.   35 ( 12 ), 2611 – 2617 ( 2011 ). 10.1016/j.compchemeng.2011.02.012 Iyer , R. R. , Grossmann , I. E. , Vasantharajan , S...
Book Chapter
Series: AIPP Books, Professional
Published: March 2023
10.1063/9780735425712_005
EISBN: 978-0-7354-2571-2
ISBN: 978-0-7354-2568-2
...Table 5.1 Correlations of the HEXAD user and motivation types with game elements impact. User types Type of motivation Gaming element impact (strength) Rewards Narrative Competition Transaction Progression Status Cooperation Other Badge Currency Story Points...
Book Chapter
Series: AIPP Books, Professional
Published: March 2023
10.1063/9780735425514_011
EISBN: 978-0-7354-2551-4
ISBN: 978-0-7354-2548-4
... have been studied mostly in the context of personal epistemologies and the various dimensions are often correlated with achievement (e.g., grades and test scores)—also some linear scale. Widespread factor analysis (salient from the 1990s ) became instrumental in standardizing research...
Book Chapter
Series: AIPP Books, Principles
Published: March 2023
0
EISBN: 978-0-7354-2559-0
ISBN: 978-0-7354-2556-9
... , A. , “ Dynamical singlets and correlation-assisted Peierls transition in VO2 ,” Phys. Rev. Lett.   94 , 1 ( 2005 ). 10.1103/PhysRevLett.94.026404 Bohaichuk , S. M. , Kumar , S. , Pitner , G.   et al. , “ Fast spiking of a Mott VO2-carbon nanotube composite device...
Book Chapter
Series: AIPP Books, Principles
Published: March 2023
10.1063/9780735425590_005
EISBN: 978-0-7354-2559-0
ISBN: 978-0-7354-2556-9
... properties directly and others indirectly. In the indirect cases, the strain has effects on other related phenomena such as the formation of vacancies or the segregation of dopant elements. Another example where strain can play a significant role is in ferroelectrics. Spontaneous lattice strain is correlated...
Book Chapter
Series: AIPP Books, Professional
Published: March 2023
10.1063/9780735425514_020
EISBN: 978-0-7354-2551-4
ISBN: 978-0-7354-2548-4
... by introductory physics students. Bektasli and White (2012) found that students' skill to determine the slope in a kinematics graph was significantly correlated with logical thinking and gender, but the corresponding correlation to students' skills to determine the area under the graph was not found. After more...