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We sampled farms and collected their data (from database, interviews, estimates, observations, tabulated data).
From the agricultural point of view, the literature identifies 3 main critical points of these areas: (i) they are often more valuable for development, thus farmers earn more by selling the land to developers as agriculture is still a low-profitability sector [2]; (ii) the fragmentation of farm area, inversely proportional to the distance from the city [3], involves the splitting of farm property into smaller units, reducing the efficiency of the enterprise; (iii) as a consequence of point 2, the reduction of the farm agricultural area also leads to a reduction of the economic size of farms [2].
We decided to use indicators, included in synthetic applications, useful for fast surveys, applicable to different and unrelated situations, based on data already available or easy to collect [5].
and the activities; (iii) creation of a database collecting the necessary data from SIARL, SITPAS “Sistema Informativo Territoriale Parco Agricolo Sud Milano”, from: www.provincia.mi.it/parcosud/sitpas/index.html , interviews (questionnaire) to farm personnel, observations and tabulated data (RICA “Rete di Informazione Contabile Agricola”, from: www.rica.inea.it/public/it/index.php ); (v) selection of the indicators; (iv) calculation of the indicators. 3.

The need of cost and weight reduction trend present in the automotive industry lead to the implementation into automotive sector of new materials categorized as Advanced High Strength Steels (AHSS).
Introduction The need of costs and weight reduction is an constant trend present in the automotive industry that started in the 1970s when the producers started to develop lighter and fuel efficient autos, that continued with the need of low emissions and crash secure vehicles.
Fig. 7 – Cracking of the welded joint (STE 220 BH, s=1.2mm) Fig. 8 – Pores caused by the Zn vaporization (STE 220 BH, s=1.2mm) Fig. 9 – Spattering on the surface of the upper plate In respect to the shear strength testing, one can mention that all of the samples did break in the weld, and each of the three similar joint combinations were evaluated by means of statistical modeling software with the data for the calculated shear strength values.
A table including such data is presented in Table 2.

It is also very encouraging that the nano-silica modified epoxies did not show reduction in glass transition temperature (Tg).
The addition of the some modifiers, though effective, for example rubbers, thermoplastics and diluents, may result in reductions in basic mechanical properties, such as decreases in strength, modulus and glass transition temperature (Tg) [1].
Experimental data of the mode I fracture toughness obtained at three temperatures, 23 oC, 50oC and 70oC, are shown in Fig. 2.
Tension and flexure properties of the cured epoxies are shown in Table 1 for room temperature, Table 2 for 50oC and Table 3 for 70oC test data, respectively.

A GIS database was chosen to house the offshore resources data because the datasets have a significant spatial component.
A visualization of the geospatial data is created using the Google Maps platform.
In the focus area of this study there is a lack of such data sets.
The system provides data requests for the whole region and for particular territory points.
The request results include modeled values and statistically collected and analysed data.

Analysis of experimental data was supported by an analysis of fuel injection and combustion characteristics.
Limited data have been published on testing Mustard biodiesel in diesel engines.
Inspection of data of Fig. 2 reveals that with biodiesel NOx emission was decreased at all loads.
Such a statement would be inconsistent with the data of Fig.1.
In this research extensive experimental data were obtained on fuel injection and combustion characteristics.

INTRODUCTION Data Compression refers to a process, in which the given size of data is compressed to a smaller size.
The compressed data when reconstructed, looks similar (or exact) to the original data.
If the re-constructed data is an exact replica of the original one then the algorithm used in compression and decompression is lossless.
On the other hand, if the reconstructed data is perceptually good quality (but not exact replica of the original data) then the compression algorithm is lossy.
On the other hand lossless compression methods generally do not give a very good compression ratio (typically in the order of 3-4 times of the original data size), but the reconstructed image is exact replica of the original image In some application areas exact replica of the original data is preferred over high compression ratio.

Out of 81 datasets, 49 sets of data were used for training, 16 sets of data for validation and 16 sets of data for testing.
The input-output dataset consisting of 81 patterns in which training dataset consist of 60% of the data, validation data set containing 20% of the data and test dataset which consist 20% the data.
Then the data are trained, validated and tested.
Thus the optimal model has been generated for the given data of wear rate.
Thus the given model fits the experimental data to an extent of 92%.

Statistical Analysis The collected data were analyzed using SPSS version 22 software.
Data exhibited on the curves were stated as mean ± SEM, and other data were stated as mean ± SD. 3.
This information confirms the results of the MTT assay data, but there were differences in their patterns.
In addition, the data for 72 h are shown in Fig 4(c).
The nano-sonosentization data demonstrated that human cervical cancer cells were sonosensitized by GNPs.

Due to the statistical nature of strength in ceramics, a two-parameter Weibull distribution was used to analyze strength data [3].
The next step is to convert this set of data into an experimental probability distribution.
As shown in Fig. 3, there was a gradual reduction in strength as the severity of the thermal shock was increased, consistent with previous data found in the literature [4].
This suggests that there is a good correlation between the set of data obtained by thermal shock and ageing tests.
There is a good correlation between the set of data obtained by thermal shock testing and ageing testing.

Makespan reduction for aggregate schedule is finally performed if possible, by left shifting scheduled operations to their earliest start times.
Each job operation is indicated in the network by a horizontal line, with following data written above and below: operation label and planned duration in days (d); label of machine allocated to operation.
A unidirectional machine load leveling heuristic solves JSSP based on CPM data within two steps [5,8,9]: 1) Infinite machine loading; 2) Finite machine loading by leveling overloads in capacity demand.
Decision on load relocation is based at first on initial CPM data.
However, next decisions should rely on updated CPM data, which takes into account additional constraints introduced by operation load movement.