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Predictions of the model were compared to the dispersive equilibrium model in the simulation of continuous separation process and validated with data taken for both compounds in a SMB experimental set-up.
To solve this issue many authors have formulated math models capable of predicting the SMB process of separation with statistically acceptable errors compared to experimental data.
Also shown are Perna [15] experimental data, for comparison.
This data was combined with mass transfer equations (Eq.1 and 2) employing a Langmuir kinetic (Eq. 5) and using the inverse tool, Random Restricted Window (R2W) [19].
Figure 7: Internal concentration profile of enantiomers along the columns of the SMB at steady-state performed by Stepwise approach: Comparison with HELP® software simulation and experimental data obtained by Perna [15].

Using secondary data, it was found out that accidents involving deaths and injuries, accidents caused by animals and accidents caused by speeding have a strong impact on damage to property.
Odeck [7] using Data Enveloping Analysis explained traffic safety improvements in Norway by technological progress.
Grimm and Treibich [10] use panel data regression to explore the determinants of road traffic crash fatalities in India.
Albalate and Bel [10] run a regression on European panel data.
The overview and some insights into the issue were proposed; moreover, the analysis using a dataset with secondary data was performed.

This research provides a new avenue for computational material science by integrating data-driven neural networks with fundamental physical models. 1.
Organization of the Text The success of neural network models heavily depends on the quality and quantity of training data.
Key steps include defining the CNN architecture, compiling the model with appropriate loss functions and optimizers, and training the model on preprocessed image data.
Data Augmentation (rotation, flipping, brightness modulation) are strongly required to prevent overfitting.
Scientific Data, 8(1), 1-10

Such reduction in the lattice constant was associated with incorporation of smaller copper cations into the Zn-sites.
Monotonic reduction in both parameters was observed which could be associated with successful incorporation of smaller Cu cations (Cu(IV) = 0.57 Å) into the Zn lattice (Zn(IV) = 0.6 Å).
The positivity of these a and b parameters was in agreement with the absorbance data from UV-vis spectroscopy.

The experiments indicate a significant reduction of friction and wear due to application of PVD coatings while the tool roughness did not affect the tribological behavior under hot stamping conditions.
Table 1 gives an overview of the chemical composition, the hardness and the thermal conductivity of all three tool steels as specified in the data sheets.
The topography measurements show a visible reduction of adhesive wear for both applied coatings.

The results herein showed a gradual reduction in body weight and dry lung weight for rats exposed to SO2.
Results Effects of SO2 exposure on body weight and lung weight of rats As shown in Table 1, the exposed rats showed a gradual reduction of body weight and dry lung weight.
In conclusion, the reported data in two different methodologies (the BALs of lungs and AMs) highlighted systemic effects of SO2 in animal model on the membrane permeability and membrane fluidity.

With the each clock pulse fs, the adder will add the frequency control word K to accumulation phase of accumulator register output data, and send the combined results of the data to input end of the accumulator register.
Phase controller is a 10-bit registers, it receives phase control word data from the single-chip and deposit it.
When the next clock arrives, inputting the deposit data and control the frequency and phase of output waveform.
Increasing the capacity of the waveform storage has two ways: The first is that increasing directly the absolute capacity of the waveform storage, but this way is limited by hardware conditions, and impossible unlimited increase; the second is through the compression storage data for equivalent to increase data addressing bits of the memory.
Xi'an: Xi'an Jiaotong University Press. 1995 [5] V.S.Reinhardt, Spur reduction techniques in direct digital synthesis, IEEE proc, 47th AFCS, 1993, 230~241

The PAL data were collected using two specimens to sandwich the radioactive source.
The green dotted line shows the data obtained with the traditional system using sandwich geometry.
The lifetime component of several nanoseconds is clearly weakened in the PAL data acquired with A-C processing (blue dotted line) in comparison with the PAL data acquired without A-C processing (red dotted line).
The PAL data recorded with A-C processing are equivalent to the data obtained with the traditional system (green dotted line) except that the background level of the former is slightly lower than the latter.
The green dotted line shows the data obtained with the traditional system using sandwich geometry.

However, better recognition performance could be achieved under limited conditions because PCA fails to discover the nonlinearity relations between the data points.
Different from previous methods for ear recognition, this method not only can find the intrinsic structure of data points by constructing embedded space which preserves their neighborhood relationship, but also can transform the nonlinear problem into the linear problem by local linear fitting and enable us to visualize data structure clearly.
Supervised kernel neighborhood preserving projections Neighborhood preserving projection (NPP) [10] is a recently proposed dimensionality reduction method, which try to find a transformation matrix A to project high-dimensional input data 1 2[ , ,..., ]n X x x x = into a low-dimensional subspace Y where T i iy A x= .
Then we use a nonlinear function φ to map the data into a high-dimensional feature space F .
However, LNN classifiers only work well in the case that the training data set is linearly separate, and will fail for nonlinearly separate problems, which are not suitable for the nonlinear case.

The actual data indicates that the impact of design phase on cost achieves by 70%-80%.
And more manpower and material resources are invested into data analysis.
And the historical data indicators of construction which are stored in BIM database are compared.
Under the powerful computing function of database, the data statistics of 4D, 5D and ND is realized.
BIM is used to establish project cost data center.