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Analysis of the data Data obtained from this experimental study was coded and analyzed with the use of Statistical Package for Social Science (SPSS) version 21.0.
Bivariate statistics with 95% confidence interval on data and Pearson correlation coefficient were used.
The infection of P. falciparum caused a significant reduction in MCV as in B, C, D, E and F since p < 0.05.
A significant reduction in total protein after infected with P. falciparum but slightly increased with time was observed.
Significantly reduction in creatinine was obtained in infected erythrocytes and treated using chloroquine and A. syriaca with time and dosage.

According to data from the Ministry of Environment and Forestry (KLHK), in 2019, 80% of the waste dumped into the sea originated from the mainland, and 90% of this disposal was plastic waste.
Data Analysis All values were written as means ± standard deviation (SD) of three independent measurements (n = 3) as shown in Table 2.
Therefore, based on the initial and final pH data obtained from the test solution, there is a change in pH from 6.06 ± 0.147 to 7.77 ± 0.127.
Here is a graph showing the relationship between the potential and the reduction in turbidity (NTU) levels in the test solution, Fig. 6.
There is a direct relationship between the percentage of microplastic removal efficiency and the reduction in turbidity.

Palm oil showed about 50% reduction in engine torque for the blends of 3 % and 5 %, while naphthalene showed about 11% reduction for the engine torque when the engine speed is more than 4000 rpm.
The engine was left to be idle operation to warm up for 5 minutes before starting the data collection.

Linear Regression Analysis Data Regression analysis is a statistical technique for investigating and modeling the relationship between variables.
The Ppk value is used by the FMEA team as guidance to assist in determining an occurrence ranking when valid statistical data is available [12].
This is because i-FMEA data should be sharing during new model discussion between design and process group especially during hand over job for new model.
Potential Failure Mode Critical Dimensional Data (22 samples data) Key Process Factor (22 samples data) Regression Analysis Results (p) Significant Ppk Results Old Occurrence New Occurrence Gap between matching parts (D1) 11 Rivet Diameter Riveting Force P = 0.000 YES 0.61 8 9 Rivet pin diameter out of spec.
[9] Chin, K.S, Wang, Y.M , Poon, G.K.K and Yang, J.B, Failure Mode and Effect Analysis by Data Envelopment Analysis.

In the model, the historical data of inner profile was saved and analyzed, If L1 ≥ Lmax, the value of Lmax will be updated by the value of L1.
An excellent online system is largely dependent on a reliable data acquisition.
Fig. 4 shows the structure of the data network which was designed to ensure the real-time reliability and security of the data in the system.
The needed data was saved to the table (TempData) of the real-time database (XG9GL) on the SQL SERVER platform and therefore the models could call them at any time.
IFIX network data server IFIX local real-time database LAN SQL SERVER model database(XG9GL) Online system VBA program Read online data Save calculation result Fig.4 The structure of the data acquisition system Fig.5 An interface of erosion and skull monitor The software system had been running with the XISCO No.9 blast furnace since June 2010.

Different methods have been used to compensate the effect of humidity, which usually require utilization of other parallel environmental sensors and costly data fusion methodology.
It is shown that by utilizing the “thermal shock-induction” method for the temperature modulation of the sensor, the drift levels are low, and with a single set of training data collected at RH=50%, responses obtained in the whole humidity range can be discriminated from each other.
The influence of drift-like terms such as temperature and humidity caused by environmental fluctuations can severely affect the responses of a metal oxide gas sensor [11,12] and this can induce significant variations in the calibration data.
The method introduced in the reference [10] was utilized for feature vector formation and dimension reduction.

The parameters are determined from the construction data, and a few of them from the field test data.
The model is validated against the unique plant data and the results are presented.
Introduction System or process identification is a mathematical modeling of systems from test or experimental data.
Fig.1 Integrated Boiler model Results and Discussions The data needed for the dynamic simulation of integrated boiler model are collected from the Neyveli Thermal power plant and the input data are listed in Table 1.
Steady State results are compared with the actual plant data.

Through a large number of experimental data, this paper verified the feasibility and the effectiveness of the proposed approach to the unbalance fault diagnosis.
Data processing From the above experimental data we concluded, we can get ten special clinic parameters we want with the help of data processing software.
The steps of experimental data processing: (1) Entering the interface of data processing, choosing characteristic parameters for diagnosing
(2) Firstly selecting the reference data, i.e. no loading data, Reference data is a kind of point data without load, it will compare with point data adding some load, thus obtaining the DI, DR, and other related parameters.
References [1]Guyan R J.Reduction of stiffness and mass matrices[J].AIAA Journal，1965，3（2）：380 [2]Jia Qu, etc.

In 1994 and 2000 there was no data available about permanent private households.
The period selected for analysis was from 1970 to 2009, with some exceptions, for which no data was available.
Data of the 1991 PC were compared with the BH of 1992, 2000 PC with 1999 BH and 2010 PC with 1999 BH.
Data of 1995, and before, was dismissed for using a different methodology.
These data are linked with the characterization of the public research participant profile.

Using electronically controlled EGR technology can precise control EGR rate under the different engine conditions, it is as much as possible reduction of NOx emissions under effectively maintaining the performance requirements of diesel engine.
The control panel has the functions of data collection, determining the conditions, the coordination of the subroutine, controlling signal output.
The data of Table 1 show that NOx emissions total reduces 30.9% subject to diesel engine performance after the use of electronically controlled EGR system.
In contrast, change of EGR rate has obvious effect on the diesel engine performance at high load, the use of big EGR rate brought a significant reduction in NOx, but will bring a rise in particles emissions and the significant increase of the fuel consumption.