The Judd Ofelt theory is usually used to evaluate the transition probability of rare-earth ions in various environments and to calculate the spectroscopic parameters [19].
It is thus crucial to evaluate the transition costs of implementing different climate policy architectures under socioeconomic and technological uncertainties from a multiregional perspective.
We combined observational studies of seed rain and seedling emergence with seed addition experiments to evaluate the transition probabilities among regeneration stages within bamboo and non-bamboo stands.
Herein, we intentionally evaluate the transition metal precursor effects on manipulating the structural ordering and associated electrochemical performances of the Ni-rich LiNi0.8Co0.2O2 cathode material.
On the second level they can be used within herd to monitor the implementation of transition protocols and evaluate the transition management on the farm, signaling potential problems before clinical disease onset.
Then, we evaluate the transition of quality of environments of RBC including Ise bay from the past to the present by using TB1-TB3 foriverer basin and bay area.
The main steps of Metropolis algorithm are (i) to fix the temperature, (ii) to fix the initial spin configuration, (iii) to find the system energy for initial configuration, (iv) to flip arbitrarily one spin from the system, (v) to find the system energy of new configuration, and (vi) to evaluate the transition probability of new configuration.
The main steps of Metropolis algorithm are (i) to fix the temperature, (ii) to fix initial spin configuration, (iii) to find the system energy for initial configuration, (iv) to flip arbitrarily one spin from the system, (v) to find the system energy of new configuration, and (vi) to evaluate the transition probability of new configuration.
In order to evaluate the transition phenomenon, the splashing parameter on flattening Kf=0.5a1.25Re−0.3K (which includes the influence of both the in-flight information of the particle and the substrate temperature change) was proposed in this study as a general evaluation criteria for splashing in the flattening of thermal sprayed particles.
We evaluate the transition probabilities based on this partition function, and select the best peptide for the given surface employing a Hidden Markov model (HMM) using Viterbi decoding [35].
