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The data analysis is necessary to create a new promising exploitation drilling program.
Therefore, these perspectives were evaluated with the help of deep analysis of shooting data collected by seismic crews in different years, and the results of drilling.
However, exploitation drilling data shows that the geology aspects of the field are more difficult than they seemed earlier.
The existing CDP network density makes data interpolation within the polygons ambiguous.
Gidion, Formation and geological structure of the Neocomian deposits in the Middle Ob region according to seismic data, Geophysics.

Then, a comparison of the set data and the measured data takes place.
If the data differ from each other the control sends a new control signal to the servo motor(s).
The conversion of the input data and controlling of the motors is a simultaneous process.
This stored energy can be used for a subsequent acceleration of the press, resulting in a reduction of power consumption from the electrical network [10,11].
The demonstrated approach is to increase flexibility of manufacturing processes without a significant reduction of productivity.

Today, wind energy has made important contributions, such as energy conservation, power shortage supply release, long-term electricity costs reduction, air pollution and greenhouse gas emissions reduction, more jobs provision and so on.
Another commonly used forecasting method is based on numerical weather prediction, the input data is mainly: 1) SCADA real-time data, including wind speed, wind direction, temperature, pressure, etc.; 2) contour lines, obstacles, roughness and other information; 3) numerical weather prediction data.
For the power forecasting more than 6 hours, the current forecast systems almost used the numerical weather forecast data.

Statistical analysis The data were analyzed using a SPSS version 20 statistical package (IBM Corporation, Armonk, NY, USA) by one way analysis of variance (ANOVA) and presented as means and standard deviation ± SD.
Cellular growth was not affected throughout the exposure periods, which would have decreased MTT reduction to formazan and thus would have affected the viability [48].
Data expressed as mean ± SD.
Data analyses completed by the national toxicology program interagency center for the evaluation of alternative toxicological methods.
Determination of the starting dose for acute oral toxicity (LD50) testing in the up and down procedure (UDP) from cytotoxicity data.

Introduction The road network vulnerability（RNV） has been known as a susceptibility to incidents that can result in considerable reductions in road network serviceability[1].
But with the increase of vulnerable influence, there is a growing demand for suitable methods to analyze and classify such complex data.
The next section describes the algorithm of fuzzy clustering, and the remaining sections analysis the levels of RNV and use the data of Xingsha District, Changsha City in the case study.
Berdica[1] defined “vulnerability” as “a susceptibility to incidents that can result in considerable reductions in road network serviceability”.
And fuzzy c-means algorithm and the validity algorithm are adopted to gain proper categories; (2) The data of links in Xingsha District, Changsha City is collected for case study.

Plaques can be eliminated or decreased by a good oral hygiene and a control on periodontal diseases, by reducing intraoral nutrition and microorganism by mechanical cleaning, which are cleaning the tongue, interdental, and teeth brushing, reduction by chemicals is done by using mouthwash.3,4 Mouthwash can be used as an additional method to the main mechanical cleaning, but cannot be a replacement.
Data collection is done by providing questionnaires the subjects will fill and examinations are done on research subjects.
Data results were analyzed using SPSS version 20.0.
Annova repeated test was used to compare the data obtained before using the mouthwash, after 3 and seven days of using the mouthwash, and paired t-test was used to compare alcohol and non-alcohol containing mouthwash data. 3.
The comparison of reduction in plaque between the two groups were not significantly different.

The reason for choosing a “cradle to gate” approach has to do with the quality and reliability of the initial data used for the inventory analysis.
For the scope of this study, data on raw materials and energy flows have been acquired by means of an extensive survey, with the participation of major industrial producers.
For the output data, namely emissions from mining, production, packaging, storage and transportation at the inventory phase, two software tools were used for the results’ reliability control: the SimaPro LCA software, which is a life-cycle analysis model with embodied EcoInvent LCA database [14,15].
The output data indicators provided information about specific air emissions from raw materials extraction, production processes, transportation and storage procedures such as CO2 equivalent, SO2 equivalent, PO4 equivalent, SPM equivalent, C2H4 equivalent and environmental impacts like climate change, acidification, eutrophication (table 2).
Then the clay or shale mixtures are transported to plant storage areas, b) preparation: To break up large clay lumps and stones, the material is processed through size-reduction machines before mixing the raw material.

Credit Author Statement Hamza BOULIKA: Conceptualization, Visualization, Data curation, Investigation, Methodology, Writing Original draft preparation.
Maryam El Hajam: Data curation, Investigation.
Availability of Data and Materials The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Kherbeche, Novel River Sediment@ZnO[sbnd]Co nanocomposite for photocatalytic degradation and COD reduction of crystal violet under visible light, J Mol Struct. 1253 (2022). https://doi.org/10.1016/j.molstruc.2021.132298
Prakash, Green synthesis of silver nanoparticles using aqueous leaf extract of Guettarda Speciosa and its antimicrobial and anti-oxidative properties, Chemical Data Collections. 38 (2022) 100831. https://doi.org/10.1016/J.CDC.2022.100831

Emission reduction measures of biological carbon sequestration of greenhouse gas involve the use of biomass energy, farmland and grassland soil carbon sequestration, afforestation, reforestation and reduce deforestation (Lar R et al.2008, Hopkin M et al.2004).
The mean value was regarded as the measured value at that moment in the data processing.The determination of parameters were recorded as follow: Net photosynthetic rate(Pn) (umolCO2 · m-2 · s-1), stomatal conductance(Gs)(molH2O · m-2 · s-1) transpiration rate (Tr) (mmol H2O, m-2 · s-2), intercellular CO2 concentration (Ci )(umolCO2 · mol-1), photosynthetically active radiation (PAR) (umolCO2 · mol-1), air temperature (Ta) (˚C), leaf temperature (Tl)(˚C), atmospheric CO2 concentration(Ca) (umolCO2 · mol), relative humidity (RH) (%).
Data analysis The diurnal variations of photosynthesis curve were draw by excel software and the correlation coefficient between net photosynthetic rate and the physiological and ecological factors (Gs, Tr and Ci) and environmental factors (Ta, Ca, RH, and PAR) were analyzed by DPS software.
Data was analyzed by DPS software.
Sample control 0-10 (cm) 10-20 (cm) 20-30 (cm) 30-40 (cm) 40-50 (cm) Organic carbon （g.kg-1） CK 12.78±0.32b 11.79±0.79b 11.03±0.41b 10.86±0.53b 10.40±0.15b L 16.64±1.15a 15.78±0.77a 15.32±0.87a 15.21±0.32a 14.01±0.63a Total nitrogen (g.kg-1) CK 0.77±0.01b 0.75±0.02b 0.74±0.02b 0.68±0.01b 0.65±0.01b L 0.85±0.03a 0.79±0.01a 0.78±0.01a 0.75±0.02a 0.68±0.02a SOC/TN CK 16.52±0.28b 15.81±0.60b 14.97±0.94b 15.90±0.94b 16.08±0.39b L 19.65±0.73a 19.94±1.02a 19.53±1.15a 20.26±0.98a 20.45±0.98a Note: Data are means plus/minus standard deviation; Differences in small letters indicate significances at P≤0.05.

Optimum Fe (III)/Fe (II) ratio was 2:1, which is in a good agreement with the earlier data [13].
Based upon the data on the stability in a solution and precipitation in the magnetic field for the produced particles, the optimum synthesis protocol has been suggested (see chapter ‘Synthesis of magnetic nanoparticles’, Materials and Methods).
According to the data of transmission electron microscopy (TEM), obtained MNPs had an average diameter of 9.1±3.2 nm, particle shape was close to spherical, and the aggregate sizes did not exceed 200 nm.
This difference, combined with the uniform distribution of the MNPs in a solution, creates the potential for significant assay time reduction.
The study of the obtained kinetic data revealed that duration of the concentration step should be at least 30 min to allow complete binding of the analyte.