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The membrane containing UT possessed an excellent antioxidant activity showing almost 100 % of reduction capacity of free radicals in 15 minutes.
However, the membrane without UT presented very poor reduction capacity (≥ 10 %) in 60 minutes.
Finally, the addition of UT improved dramatically the antioxidant activity of AL membranes showing almost 100 % of radical reduction capacity while AL membrane without UT only reached less than 10 % of radical reduction.
Tomaselli, Wound Dressings and Comparative Effectiveness Data, Advances in wound care 3(8) (2014) 511-529 [6] P.

Abstract: Category level object discovery is important for a number of applications such as remote sensing image classification, and data mining in images and video sequences.
An efficient alternative is provided by object detection method [2], where the characteristics of objects are learned from labeled data.
However, the dependence on annotated training data inevitably limits the scalability of these methods.
Video patches are extracted from the video data by simultaneous generation of both spatial and temporal context for image regions in each frame.
Note that the video data can be divided by time slice.

Thus, this technique provides an assessment of strength characteristics of PFPCM based on data on its granulometric composition, filling ratio and type of binder.
Algorithm for calculating the specific energy characteristics of PFPCM The input data of the algorithm are data on the granulometric composition of the filler (the diameter of the filler particles d1..dn and their volume ratios ϕ1..ϕn), the filling ratio ν, the form of the representative volume and the type of binder.
Based on the data obtained, the numerical value of the work of adhesion Wа is determined according to Eq.2.
A comparative analysis of the experimental and calculated data obtained showed that the higher the value of the specific adhesion energy that the system possesses, the higher its strength characteristics.
Thus, a significant reduction in time and material costs at the stage of preparation of production of products from dispersed-reinforced polymeric composite materials is possible.

For example, thinning the gate oxide requires a reduction of the supply voltage and an increase of the gate tunneling current occurs.
Mobility improvement in strained silicon takes place mainly due to a) the reduction of the carrier conductivity effective mass, and b) the reduction in the intervalley phonon scattering rates.
For a given strain, quantifying the effective mass reduction and comparing it to the enhanced mobility reveals that mass reduction alone explains only part of the mobility enhancement [8].
Most of the measurements reported up to now, however, show enhanced mobility data and drive current improvements only on long-channel devices which cannot reproduced in the same order for short-channel devices having gate lengths of 60 nm and below [25, 26].
The reduction of the thickness of the silicon layer required for UTB MOSFETs contributes also to the strain conservation in the silicon layer.

A magnitude and phase regulating control scheme (MPRC) is proposed to improve the system tracking accuracy, and a simple error feedforward compensator (EFC) further reduces the feedforward control error that result from inaccurate frequency response data.
Furthermore, the EFC is adopted in this paper to further reduce the feedforward control error resulting from the inaccurate identification of frequency response data.
The frequency response data of the closed loop system can be described as { }1 12 () ()() 121 (,)(0),(),(),,() Nj jj closeN GNAAeAeAe q qq −Ω ΩΩ − Ω=Ω⋅Ω⋅Ω⋅ L (8) whereO i.=2ip /NT , A(O i) and ?
Then the feedforward controller may simply scale the magnitude and lead the phase of each sinusoidal component based on the frequency response data in Eq.8, so that the frequency response of the overall system, i.e., the feedforward controller followed by the closed loop system, becomes unity at that frequency.
Error Feedforward Compensator The MPRC controller is a simple approach to improve the tracking performance of the closed loop system, which is only based on the limited frequency response data and do not have to identify the accurate system model.

The various data used for developing the tire design are mentioned by the industry as per their requirements.
“Integrated Assessment Of Noise Reduction Measures In The Road Transport Sector”, Project Report PR SE/652/03, TRL Limited

This is a first indication that the expected P for Si substitution scheme is at fault, since, according to Vegard’s law, a significant cell volume reduction should have been observed as a result of P for Si substitutions.
The formation of such La-rich phase in turn results in an off-stoichiometry that is compensated by an increase in the α-Fe secondary phase content, as seen from the refinement of powder XRD data.
One can however observe an overall decrease in amplitude together with a reduction in area of the DSC peak indicating a reduction of the total latent heat.
The sharpness of the transition together with the presence of a small thermal hysteresis of about 2 K (cooling data not shown) confirm that one is dealing with a first-order ferromagnetic transition.
The apparent contradiction with former reports may partly originate from the different synthesis methods (centrifugal casting vs arc-melting) as well as from the anomalously large ΔS maximum due a possible spike artefact when employing M(H) data in the previous report.

Lean manufacturing is a production strategy that emphasizes waste reduction and efficiency, and it is becoming increasingly popular in global manufacturing [2].
Identify future state VA, NVA, and NNVA Develop future state VSM Waste analysis and elimination waste Calculate current MLT and PCE Identify current VA, NVA, and NNVA Calculate future MLT and PCE Develop Current VSM Finish Conclusion Data collection identification Research objective identification Literature review identification Problem identification Introduction Start Fig 1.
The data required to calculate manufacturing lead time (MLT) includes the time of value added (VA), non-value-added but necessary (NNVA), and non-value added (NVA) activities that have been carried out in the production process.
Method factors involve inefficient data recording due to the absence of an ERP/MRP system, improper storage and handling of materials caused by excess deadstock, and suboptimal inventory management stemming from high inventory levels in logistics.
Consequently, process effectiveness was enhanced, lead time was shortened, and a 23% reduction in overall lead time was achieved.

Hannan, The Effect of Nitrogen Plasma Treatment Process on Ohmic Contact Formation to N-Type 4H-SiC, Diffusion and defect data, solid state data.
Assisted in data analysis from material characterization. 8.
Assisted in data analysis from electrical characterization. 10.
Assisted in data analysis from electrical characterization.
Assisted in data analysis from electrical characterization.

This leads to the reduction in accuracy of the result.
In FFEM approach, FEM used as the main framework of the fuzzy mapping input data to output data.
One way to reduce the uncertainty in the data is by experiment.
FFEM method developed does not require a large amount of data.
FFEM method only required data to determine the profile or shape of membership function.